From 9a2a16223d28c31adf1119c26fccdcc46c67696f Mon Sep 17 00:00:00 2001 From: "Gabriel J. Soto" Date: Fri, 19 Aug 2022 08:04:55 -0600 Subject: [PATCH 01/29] nuclear case notebook for multiperiod, TEAL cashflows added to deterministic case. still some bugs --- .../multiperiod_design_pricetaker_wTEAL.ipynb | 1472 +++++++++++++++++ 1 file changed, 1472 insertions(+) create mode 100644 dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb diff --git a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb new file mode 100644 index 000000000..136885845 --- /dev/null +++ b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb @@ -0,0 +1,1472 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "naval-employment", + "metadata": {}, + "source": [ + "# Integrated Energy Systems: Nuclear Case Study with TEAL Cashflows\n" + ] + }, + { + "cell_type": "markdown", + "id": "052896d1", + "metadata": {}, + "source": [ + "Before running this notebook, we have to get RAVEN and DISPATCHES to play along together. \n", + "The easiest way, as of 8/19/2022, is to first install RAVEN and all its dependencies into a dedicated conda environment. \n", + "Then install DISPATCHES within that environment. Installation guides for [RAVEN](github.com:idaholab/raven.git) and [DISPATCHES](https://github.com/gmlc-dispatches/dispatches) can be found in their respective Github repositories, but the major steps are summarized below:\n", + "\n", + " ```bash\n", + " # assuming git cloning with SSH key, can substitute HTML cloning\n", + " git clone git@github.com:idaholab/raven.git\n", + " git clone git@github.com:gmlc-dispatches/dispatches.git\n", + "\n", + " cd raven\n", + "\n", + " # if you haven't installed RAVEN yet:\n", + " ./scripts/establish_conda_env.sh --install\n", + " # else, activate the environment\n", + " conda activate raven_libraries\n", + "\n", + " # load raven libraries (if on Windows and using Anaconda Prompt, run 'conda install m2-base' to get sh command)\n", + " sh ./scripts/establish_conda_env.sh --load\n", + "\n", + " cd ../dispatches \n", + "\n", + " # usually got an SSL certificate error, fix is to add github to trusted hosts\n", + " python -m pip install -r requirements-dev.txt --trusted-host=codeload.github.com\n", + "\n", + " ```\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "automated-antigua", + "metadata": {}, + "outputs": [], + "source": [ + "# General python imports\n", + "import json\n", + "\n", + "# Pyomo imports\n", + "from pyomo.environ import (ConcreteModel,\n", + " RangeSet,\n", + " Var,\n", + " NonNegativeReals,\n", + " Constraint,\n", + " Expression,\n", + " Objective,\n", + " maximize,\n", + " units as pyunits)\n", + "\n", + "# IDAES imports\n", + "from idaes.core.solvers import get_solver\n", + "from idaes.core.util.model_statistics import degrees_of_freedom\n", + "\n", + "# Nuclear flowsheet function imports\n", + "from dispatches.case_studies.nuclear_case.nuclear_flowsheet import (build_ne_flowsheet,\n", + " fix_dof_and_initialize)\n", + "\n", + "# Import function for the construction of the multiperiod model\n", + "from dispatches.case_studies.nuclear_case.multiperiod import (\n", + " build_multiperiod_design,\n", + " plot_lmp_and_schedule)" + ] + }, + { + "cell_type": "markdown", + "id": "72522d0d", + "metadata": {}, + "source": [ + "### TEAL: Adding TEAL to path and importing Cashflows \n", + "\n", + "Note you have to run this using the *raven_libraries* Python environment for now. Within that environment, you should install *dispatches*" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e3e331c5", + "metadata": {}, + "outputs": [], + "source": [ + "import os.path as path \n", + "import os, sys\n", + "cwd = os.getcwd()\n", + "proj_dir = path.dirname( path.abspath( path.join(cwd, '../../..') ) )\n", + "TEAL_dir = path.abspath( path.join(proj_dir, 'TEAL') )\n", + "raven_dir = path.abspath( path.join(proj_dir, 'raven') )\n", + "sys.path.append( proj_dir )\n", + "sys.path.append( TEAL_dir )\n", + "sys.path.append( raven_dir )\n", + "sys.path.append( path.abspath( path.join(TEAL_dir, 'src') ) )\n", + "\n", + "from TEAL.src import CashFlows\n", + "from TEAL.src import main as RunCashFlow" + ] + }, + { + "cell_type": "markdown", + "id": "centered-tamil", + "metadata": {}, + "source": [ + "## Simulation of the Flowsheet\n", + "\n", + "Before we formulate the multiperiod optimization problem, we first simulate the nuclear flowsheet and print some results. This helps the reader to familiarize themselves with the names, along with their default units, of a few important variables. The readers are encouraged to go through the `nuclear_flowsheet.py` script. It contains the function `build_ne_flowsheet` which assembles models for all the units in the flowsheet, and connects them via `Arc` objects. It also contains the function `fix_dof_and_initialize` which fixes the degrees of freedom and initializes the entire flowsheet.\n", + "\n", + "The flowsheet has four degrees of freedom viz.,\n", + "\n", + "- Split fraction of electricity to the grid in the power splitter (variable `m.fs.np_power_split.split_fraction[\"np_to_grid\", 0]` in the model). We fix this variable to 0.8.\n", + "- Molar flowrate of hydrogen to the pipeline (variable `m.fs.h2_tank.outlet_to_pipeline.flow_mol[0]`). We fix this variable to 10 mol/s.\n", + "- Molar flowrate of hydrogen to the turbine (variable `m.fs.h2_tank.outlet_to_turbine.flow_mol[0]`). We fix this variable to 10 mol/s.\n", + "- Initial holdup of hydrogen in the tank (variable `m.fs.h2_tank.tank_holdup_previous[0]`). We fix this variable to 0 mol.\n", + "\n", + "These variables are fixed in the `fix_dof_and_initialize` function. In addition to the above three variables, we also fix the variables shown in the table below. We do not refer these variables as degrees of freedom, because they remain fixed at these values in the multiperiod optimization model.\n", + "\n", + "| Name | Variable | Value |\n", + "| :- | :- | :-: |\n", + "| Pressure difference across `h2_turbine`'s compressor | `m.fs.h2_turbine.compressor.deltaP` | 24.01 bar |\n", + "| Isentropic efficiency of `h2_turbine`'s compressor | `m.fs.h2_turbine.compressor.efficiency_isentropic` | 0.86 |\n", + "| Conversion of hydrogen in `h2_turbine`'s reactor | `m.fs.h2_turbine.stoic_reactor.conversion` | 0.99 |\n", + "| Pressure deifference across `h2_turbine`'s turbine | `m.fs.h2_turbine.turbine.deltaP` | -24.01 bar |\n", + "| Isentripic efficiency of `h2_turbine`'s turbine | `m.fs.h2_turbine.turbine.efficiency_isentropic` | 0.89 |\n", + "| Molar flow rate of air to `h2_turbine` | `m.fs.mixer.air_feed.flow_mol[0]` | 10.76 * molar flowrate of hydrogen to turbine |\n", + "| Temperature of air | `m.fs.mixer.air_feed.temperature[0]` | 300 K |\n", + "| Pressure of air | `m.fs.mixer.air_feed_pressure[0]` | 1.01325 bar |\n", + "| Duration of the simulation for `h2_tank` | `m.fs.h2_tank.dt` | 3600 s |\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "annoying-myrtle", + "metadata": { + "scrolled": false + }, + "outputs": [], + "source": [ + "# Create a concrete model object\n", + "m = ConcreteModel()\n", + "\n", + "# Build the nuclear flowsheet\n", + "build_ne_flowsheet(m)\n", + "\n", + "# Fix the degrees of freedom and initialize\n", + "fix_dof_and_initialize(m)\n", + "\n", + "# Ensure that the resulting model is a square problem i.e., its degrees of freedom must be 0\n", + "print(\"Degrees of freedom: \", degrees_of_freedom(m))\n", + "assert degrees_of_freedom(m) == 0\n", + "\n", + "# Create a solver object with the default solver (IPOPT)\n", + "solver = get_solver()\n", + "\n", + "# Simulate the entire flowsheet\n", + "solver.solve(m, tee=True)" + ] + }, + { + "cell_type": "markdown", + "id": "average-replacement", + "metadata": {}, + "source": [ + "Verify that IPOPT converges to the optimal solution. Next, we print some results. Note the names of the variables and their default units (we use Pyomo's `units`, imported as `pyunits`, to obtain the units of a variable). Units are needed to correctly define the cash flow expressions later." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "animal-astronomy", + "metadata": {}, + "outputs": [], + "source": [ + "def get_units(obj):\n", + " return str(pyunits.get_units(obj))\n", + "\n", + "# Print results: power splitter\n", + "print(\"Nuclear plant power production : \", m.fs.np_power_split.electricity[0].value,\n", + " get_units(m.fs.np_power_split.electricity[0]))\n", + "print(\"Electricity to grid : \", m.fs.np_power_split.np_to_grid_port.electricity[0].value,\n", + " get_units(m.fs.np_power_split.np_to_grid_port.electricity[0]))\n", + "print(\"Electricity to PEM : \", m.fs.np_power_split.np_to_pem_port.electricity[0].value,\n", + " get_units(m.fs.np_power_split.np_to_pem_port.electricity[0]))\n", + "print()\n", + "\n", + "# Print results: PEM electrolyzer\n", + "print(\"Flowrate of H2 from pem : \", m.fs.pem.outlet.flow_mol[0].value,\n", + " get_units(m.fs.pem.outlet.flow_mol[0]))\n", + "print()\n", + "\n", + "# Print results: Hydrogen tank\n", + "print(\"Flowrate of H2 to tank : \", m.fs.h2_tank.inlet.flow_mol[0].value,\n", + " get_units(m.fs.h2_tank.inlet.flow_mol[0]))\n", + "print(\"Flowrate of H2 to pipeline : \", m.fs.h2_tank.outlet_to_pipeline.flow_mol[0].value,\n", + " get_units(m.fs.h2_tank.outlet_to_pipeline.flow_mol[0]))\n", + "print(\"Flowrate of H2 to turbine : \", m.fs.h2_tank.outlet_to_turbine.flow_mol[0].value,\n", + " get_units(m.fs.h2_tank.outlet_to_turbine.flow_mol[0]))\n", + "print(\"Initial tank holdup : \", m.fs.h2_tank.tank_holdup_previous[0].value,\n", + " get_units(m.fs.h2_tank.tank_holdup_previous[0]))\n", + "print(\"Tank holdup at the end of 1 hr : \", m.fs.h2_tank.tank_holdup[0].value,\n", + " get_units(m.fs.h2_tank.tank_holdup[0]))\n", + "\n", + "# Print results: Hydrogen Turbine\n", + "print(\"H2 Turbine's compressor work : \", m.fs.h2_turbine.compressor.work_mechanical[0].value,\n", + " get_units(m.fs.h2_turbine.compressor.work_mechanical[0]))\n", + "print(\"H2 Turbine's turbine work : \", m.fs.h2_turbine.turbine.work_mechanical[0].value,\n", + " get_units(m.fs.h2_turbine.turbine.work_mechanical[0]))\n", + "print(\"Net power produced by turbine : \", (- m.fs.h2_turbine.turbine.work_mechanical[0].value\n", + " - m.fs.h2_turbine.compressor.work_mechanical[0].value),\n", + " get_units(m.fs.h2_turbine.compressor.work_mechanical[0]))" + ] + }, + { + "cell_type": "markdown", + "id": "accessory-paris", + "metadata": {}, + "source": [ + "Observe that the power variables in the power splitter model and the PEM electrolyzer model use kW. Whereas, the power variables (mechanical work) use in the hydrogen turbine model use W. This complete the simulation of the flowsheet. Before proceeding further, we delete the object `m` to avoid confusion" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "guilty-appliance", + "metadata": {}, + "outputs": [], + "source": [ + "# Delete the object containing the flowsheet\n", + "del m" + ] + }, + { + "cell_type": "markdown", + "id": "alert-packing", + "metadata": {}, + "source": [ + "## Multiperiod Optimization Model: Deterministic\n", + "\n", + "### LMP Signal\n", + "Our objective is to determine the optimal size of the PEM, tank and turbine maximizing the NPV for a given 'market signal'. Throughout the notebook, by market signal or price signal, we refer to the locational marginal price (LMP) (selling price of electricity, in $/MWh) as a function of time. The LMP depends on several factors such as weather, demand, generator mix of the grid, and so forth. Owing to the uncertain nature of some those factors, it is not possible to predict the exact value of the LMP way into the future. Nevertheless, in this section, we **assume that the LMP signal is accurate** (i.e., there is no uncertainty in the price). Later, we show how the same framework/workflow can be used to easily formulate a stochastic program to handle the uncertainty in the price signal. \n", + "\n", + "Here, we use the LMP data contained in the file `lmp_signal.json`. This dataset is generated by FORCE (link goes here) using the 2019/2020 New York Independent System Operator (NYISO) price data. FORCE divides the 365 days of a year into a specified number of clusters (20, in our case), and generates the LMP signal for each cluster (Note that the LMP signal is the same for all the days of a cluster). The figure below plots the LMP signal for cluster 1 (left) and cluster 8.\n", + "\n", + "![](sample_lmp_plots.png)\n", + "\n", + "As evident from the figure, the price can vary significantly in a day, and from cluster to cluster. Given the variation, we are interested in determining if producing hydrogen, especially during the periods when LMP is low, is attractive or not. \n", + "\n", + "For the demonstration, we do not use the entire dataset in `lmp_signal.json`. Instead, we use the LMP signal only for the years 2022 and 2032. We assume that the plant lifetime is twenty years. We use the 2022 LMP signal for the first ten years (i.e., 2022 - 2031), and the 2032 LMP signal for the next ten years (i.e., 2032 - 2041). If desired, the LMP data for the intermediate years can be easily included in the model with a slight modification to the code." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "involved-skill", + "metadata": {}, + "outputs": [], + "source": [ + "# Load the LMP dataset\n", + "with open(\"lmp_signal.json\") as fp:\n", + " lmp_dataset = json.load(fp)\n", + " \n", + "# Gather the LMP data needed for the deterministic case\n", + "# Notation: lmp_dataset[scenario][year][cluster/day][time/hour]\n", + "lmp_deterministic = {year: {cluster: {hour: lmp_dataset[\"0\"][str(year)][str(cluster)][str(hour)]\n", + " for hour in range(1, 25)} \n", + " for cluster in range(1, 21)}\n", + " for year in [2022, 2032]}\n", + "\n", + "# Size of each cluster/number of days in a year represented by the cluster\n", + "weights_days = {year: {cluster: lmp_dataset[str(0)][str(year)][str(cluster)][\"num_days\"]\n", + " for cluster in range(1, 21)}\n", + " for year in [2022, 2032]}\n" + ] + }, + { + "cell_type": "markdown", + "id": "boxed-pattern", + "metadata": {}, + "source": [ + "Now, we formulate the multi-period price-taker problem to determine the optimal design and operating decisions maximizing the NPV. The optimization problem is of the form\n", + "$$ \\begin{aligned}\n", + "\\max_{D, u_{t, d}} \\quad & \\text{NPV}(D, u_{t, d})\\\\\n", + "& g(u_{t, d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", + "& h(u_{t, d}) \\le 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", + "& f(u_{t-1,d}, u_{t,d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", + "& u_{t,d} \\le D, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}\n", + "\\end{aligned}$$\n", + "\n", + "Here, the sets $\\mathcal{T} = \\{1, \\dots, 24\\}$ and $\\mathcal{C} = \\{1, \\dots, 20\\}$ denote the set of hours in a day and the set of clusters/days in a year, respectively. $D$ denotes the design decisions (or, first-stage variables) viz. size of the PEM electrolyzer (`pem_capacity`), tank (`tank_capacity`) and the turbine (`turbine_capacity`). $u_{t, d}$ denotes the operating decisions (or, second-stage decisions) at time $t$ of day/cluster $d$. $g(u_{t, d}) = 0$ and $h(u_{t,d}) \\le 0$ denote the flowsheet model, $f(u_{t-1,d}, u_{t,d}) = 0$ connects the operating decisions at time $t-1$ and at time $t$ (e.g., tank holdup), and $u_{t,d} \\le D$ ensures that the operating decision values never exceed the design capacity values (e.g., tank holdup at any time instant must not exceed the tank capacity).\n", + "\n", + "First, we create a `ConcreteModel` object, and define sets and parameters" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "driven-allah", + "metadata": {}, + "outputs": [], + "source": [ + "# Create a ConcreteModel object\n", + "m = ConcreteModel()\n", + "\n", + "# Define sets\n", + "m.set_time = RangeSet(24) # twenty fours in a day\n", + "m.set_days = RangeSet(20) # twenty clusters/days per year\n", + "m.set_years = [2022, 2023] # Set of years\n", + "\n", + "# Define parameters\n", + "m.plant_life = 20 # Plant lifetime: 20 years\n", + "m.tax_rate = 0.2 # Corporate tax rate: 20%\n", + "m.discount_rate = 0.08 # Discount rate: 8%\n", + "m.h2_price = 3 # Selling price of hydrogen: $3/kg\n", + "m.h2_demand = 1 # Maximum amount of hydrogen that can be sold: 1 kg/s\n", + "m.LMP = lmp_deterministic # LMP signal\n", + "m.weights_days = weights_days # number of days represented by each cluster" + ] + }, + { + "cell_type": "markdown", + "id": "august-rings", + "metadata": {}, + "source": [ + "As we saw earlier, functions `build_ne_flowsheet` and `fix_dof_and_initialize` yield an initialized square model of the nuclear flowsheet. For the multi-period optimization problem, we now construct a function that can be used to unfix a few degrees of freedom for optimization. The function below\n", + "\n", + "- Unfixes the split fractions of the power splitter. The optimizer then determines the optimal split fraction of the electricity to the grid, and to the PEM electrolyzer.\n", + "- Unfixes the initial tank holdup. The initial tank holdup is governed by the final tank holdup at the previous hour.\n", + "- Unfixes the molar flow rate of hydrogen to the turbine and to the pipeline.\n", + "- Unfixes the molar flow rate of air to the turbine.\n", + "- Adds a constraint to fix the ratio of molar flow rate of air to molar flowrate of hydrogen (fuel-air ratio).\n", + "- Specifies a small non-zero bounds on a few flow variables to avoid convergence issues." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "senior-multimedia", + "metadata": {}, + "outputs": [], + "source": [ + "def unfix_dof(m, **kwargs):\n", + " \"\"\"\n", + " This function unfixes a few degrees of freedom for optimization\n", + " \"\"\"\n", + " # Set defaults in case options are not passed to the function\n", + " options = kwargs.get(\"options\", {})\n", + " air_h2_ratio = options.get(\"air_h2_ratio\", 10.76)\n", + " \n", + " # Unfix the electricity split in the electrical splitter\n", + " m.fs.np_power_split.split_fraction[\"np_to_grid\", 0].unfix()\n", + "\n", + " # Unfix the holdup_previous and outflow variables\n", + " m.fs.h2_tank.tank_holdup_previous.unfix()\n", + " m.fs.h2_tank.outlet_to_turbine.flow_mol.unfix()\n", + " m.fs.h2_tank.outlet_to_pipeline.flow_mol.unfix()\n", + "\n", + " # Unfix the flowrate of air to the mixer\n", + " m.fs.mixer.air_feed.flow_mol.unfix()\n", + "\n", + " # Add a constraint to maintain the air to hydrogen flow ratio\n", + " m.fs.mixer.air_h2_ratio = Constraint(\n", + " expr=m.fs.mixer.air_feed.flow_mol[0] ==\n", + " air_h2_ratio * m.fs.mixer.hydrogen_feed.flow_mol[0])\n", + " \n", + " # Set bounds on variables. A small non-zero value is set as the lower \n", + " # bound on molar flowrates to avoid convergence issues\n", + " m.fs.pem.outlet.flow_mol[0].setlb(0.001)\n", + "\n", + " m.fs.h2_tank.inlet.flow_mol[0].setlb(0.001)\n", + " m.fs.h2_tank.outlet_to_turbine.flow_mol[0].setlb(0.001)\n", + " m.fs.h2_tank.outlet_to_pipeline.flow_mol[0].setlb(0.001)\n", + "\n", + " m.fs.translator.inlet.flow_mol[0].setlb(0.001)\n", + " m.fs.translator.outlet.flow_mol[0].setlb(0.001)\n", + "\n", + " m.fs.mixer.hydrogen_feed.flow_mol[0].setlb(0.001)" + ] + }, + { + "cell_type": "markdown", + "id": "organized-peoples", + "metadata": {}, + "source": [ + "Next, we use the `build_multiperiod_design` function to build the constraints $g(u_{t,d}) = 0$ and $h(u_{t,d}) \\le 0$ $\\forall \\; t \\in \\mathcal{T}$ and $\\forall \\; d \\in \\mathcal{C}$. This function creates an instance of the flowsheet (using the `build_ne_flowsheet` function) for each time instance, fixes its degrees of freedom and initializes it (using the `fix_dof_and_initialize` function), and unfixes operational degrees of freedom (using the `unfix_dof` function) described above. Since we are dealing with multiple days/clusters and multiple years (2022 and 2032 LMP signals), we set the `multiple_days` and `multiyear` argument to `True` (see below. Note that the default value of these arguments is `False`). \n", + "\n", + "**Note**: The function, by default, looks for `m.set_time`, `m.set_days` and `m.set_years` objects for the set of hours, days/clusters and years, respectively. However, if the sets are created using a different set of names, then they must be passed to the function explicitly. E.g. `build_multiperiod_design(m, ..., set_time=m.set_time_object, set_days=m.set_days_object, set_years=m.set_years_object)`.\n", + "\n", + "**Tip**: Building the multiperiod model can take some time. So, set `verbose=True` to moniter the progress" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "democratic-aurora", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ERROR: Constructing component\n", + " 'period[2,4,2022].fs.h2_turbine.compressor.properties_isentropic' from\n", + " data=None failed: KeyboardInterrupt:\n", + "ERROR: Constructing component 'period[2,4,2022].fs.h2_turbine.compressor' from\n", + " data=None failed: KeyboardInterrupt:\n", + "ERROR: Constructing component 'period[2,4,2022].fs.h2_turbine' from data=None\n", + " failed: KeyboardInterrupt:\n", + "ERROR: Constructing component 'period' from data=None failed:\n", + " KeyboardInterrupt:\n" + ] + }, + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m~\\AppData\\Local\\Temp\\1\\ipykernel_7412\\10234574.py\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 6\u001b[0m \u001b[0mmultiple_days\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 7\u001b[0m \u001b[0mmultiyear\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 8\u001b[1;33m verbose=False)\n\u001b[0m", + "\u001b[1;32mc:\\users\\sotogj\\projects\\dispatches\\dispatches\\case_studies\\nuclear_case\\multiperiod.py\u001b[0m in \u001b[0;36mbuild_multiperiod_design\u001b[1;34m(m, flowsheet, initialization, unfix_dof, flowsheet_options, initialization_options, unfix_dof_options, solver, verbose, stochastic, multiyear, multiple_days, **kwargs)\u001b[0m\n\u001b[0;32m 133\u001b[0m \u001b[0mm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mscenario\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mBlock\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mset_scenarios\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrule\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0m_build_scenario_model\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 134\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 135\u001b[1;33m \u001b[0m_build_scenario_model\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mm\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 136\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 137\u001b[0m \u001b[0mtimer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtoc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Completed the formulation of the multiperiod problem\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\sotogj\\projects\\dispatches\\dispatches\\case_studies\\nuclear_case\\multiperiod.py\u001b[0m in \u001b[0;36m_build_scenario_model\u001b[1;34m(blk)\u001b[0m\n\u001b[0;32m 125\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 126\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_build_scenario_model\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mblk\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 127\u001b[1;33m \u001b[0mblk\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mperiod\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mBlock\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mset_period\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrule\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0m_period_model_rule\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mflowsheet_options\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mverbose\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 128\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 129\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mblk\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36m__setattr__\u001b[1;34m(self, name, val)\u001b[0m\n\u001b[0;32m 542\u001b[0m \u001b[1;31m# Pyomo components are added with the add_component method.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 543\u001b[0m \u001b[1;31m#\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 544\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd_component\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 545\u001b[0m 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\u001b[0merr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msys\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexc_info\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36mconstruct\u001b[1;34m(self, data)\u001b[0m\n\u001b[0;32m 1962\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0m_idx\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex_set\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1963\u001b[0m \u001b[1;31m# Trigger population & call the rule\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1964\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_when_not_present\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_idx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1965\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1966\u001b[0m \u001b[1;31m# We must check that any pre-existing components are\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36m_getitem_when_not_present\u001b[1;34m(self, idx)\u001b[0m\n\u001b[0;32m 1911\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1912\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1913\u001b[1;33m \u001b[0mobj\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_rule\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_block\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0midx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1914\u001b[0m \u001b[1;31m# If the user returns a block, transfer over everything\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1915\u001b[0m \u001b[1;31m# they defined into the empty one we created. We do\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\initializer.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, parent, idx)\u001b[0m\n\u001b[0;32m 371\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 372\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m__call__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mparent\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0midx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 373\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_fcn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mparent\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 374\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 375\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mconstant\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\sotogj\\projects\\dispatches\\dispatches\\case_studies\\nuclear_case\\multiperiod.py\u001b[0m in \u001b[0;36m_period_model\u001b[1;34m(blk)\u001b[0m\n\u001b[0;32m 120\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Constructing flowsheet model for \"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mblk\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 121\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 122\u001b[1;33m \u001b[0mflowsheet\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mblk\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0moptions\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0moptions\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 123\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 124\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0m_period_model\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\sotogj\\projects\\dispatches\\dispatches\\case_studies\\nuclear_case\\nuclear_flowsheet.py\u001b[0m in \u001b[0;36mbuild_ne_flowsheet\u001b[1;34m(m, **kwargs)\u001b[0m\n\u001b[0;32m 125\u001b[0m m.fs.h2_turbine = HydrogenTurbine(\n\u001b[0;32m 126\u001b[0m default={\"property_package\": m.fs.h2turbine_props,\n\u001b[1;32m--> 127\u001b[1;33m \"reaction_package\": m.fs.reaction_params})\n\u001b[0m\u001b[0;32m 128\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 129\u001b[0m \"\"\"\n", + "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36m__setattr__\u001b[1;34m(self, name, val)\u001b[0m\n\u001b[0;32m 542\u001b[0m \u001b[1;31m# Pyomo components are added with the add_component method.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 543\u001b[0m \u001b[1;31m#\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 544\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd_component\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 545\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 546\u001b[0m \u001b[1;31m#\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36madd_component\u001b[1;34m(self, name, val)\u001b[0m\n\u001b[0;32m 1087\u001b[0m _blockName, str(data))\n\u001b[0;32m 1088\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1089\u001b[1;33m \u001b[0mval\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconstruct\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1090\u001b[0m \u001b[1;32mexcept\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1091\u001b[0m \u001b[0merr\u001b[0m \u001b[1;33m=\u001b[0m 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\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_when_not_present\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_idx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1989\u001b[0m \u001b[1;32mfinally\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1990\u001b[0m \u001b[1;31m# We must allow that id(self) may no longer be in\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36m_getitem_when_not_present\u001b[1;34m(self, idx)\u001b[0m\n\u001b[0;32m 1911\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1912\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1913\u001b[1;33m \u001b[0mobj\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_rule\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_block\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0midx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1914\u001b[0m \u001b[1;31m# If the user returns a block, transfer over everything\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1915\u001b[0m \u001b[1;31m# they defined into the empty one we created. We do\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\initializer.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, parent, idx)\u001b[0m\n\u001b[0;32m 251\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_fcn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mparent\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0midx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 252\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 253\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_fcn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mparent\u001b[0m\u001b[1;33m,\u001b[0m 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\u001b[0mlogging\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgetLogger\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m__name__\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexception\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Failure in build: {}\"\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mb\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\sotogj\\projects\\dispatches\\dispatches\\unit_models\\hydrogen_turbine_unit.py\u001b[0m in \u001b[0;36mbuild\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 102\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 103\u001b[0m self.compressor = Compressor(\n\u001b[1;32m--> 104\u001b[1;33m default={\"property_package\": self.config.property_package})\n\u001b[0m\u001b[0;32m 105\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 106\u001b[0m self.stoic_reactor = StoichiometricReactor(\n", + "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36m__setattr__\u001b[1;34m(self, name, val)\u001b[0m\n\u001b[0;32m 542\u001b[0m \u001b[1;31m# Pyomo components are added with the add_component method.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 543\u001b[0m \u001b[1;31m#\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 544\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd_component\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 545\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 546\u001b[0m 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\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_when_not_present\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_idx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1989\u001b[0m \u001b[1;32mfinally\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1990\u001b[0m \u001b[1;31m# We must allow that id(self) may no longer be in\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36m_getitem_when_not_present\u001b[1;34m(self, idx)\u001b[0m\n\u001b[0;32m 1911\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1912\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1913\u001b[1;33m \u001b[0mobj\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_rule\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_block\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0midx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1914\u001b[0m \u001b[1;31m# If the user returns a block, transfer over everything\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1915\u001b[0m \u001b[1;31m# they defined into the empty one we created. We do\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\initializer.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, parent, idx)\u001b[0m\n\u001b[0;32m 251\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_fcn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mparent\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0midx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 252\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 253\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_fcn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mparent\u001b[0m\u001b[1;33m,\u001b[0m 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\u001b[0mdefault\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtmp_dict\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 484\u001b[0m )\n\u001b[0;32m 485\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36m__setattr__\u001b[1;34m(self, name, val)\u001b[0m\n\u001b[0;32m 542\u001b[0m \u001b[1;31m# Pyomo components are added with the add_component method.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 543\u001b[0m \u001b[1;31m#\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 544\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd_component\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m 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\u001b[1;32mexcept\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1091\u001b[0m \u001b[0merr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msys\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexc_info\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36mconstruct\u001b[1;34m(self, data)\u001b[0m\n\u001b[0;32m 1962\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0m_idx\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex_set\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1963\u001b[0m \u001b[1;31m# Trigger population & call the rule\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1964\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_when_not_present\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_idx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1965\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1966\u001b[0m \u001b[1;31m# We must check that any pre-existing components are\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36m_getitem_when_not_present\u001b[1;34m(self, idx)\u001b[0m\n\u001b[0;32m 1911\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1912\u001b[0m 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We do\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\initializer.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, parent, idx)\u001b[0m\n\u001b[0;32m 251\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_fcn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mparent\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0midx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 252\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 253\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_fcn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mparent\u001b[0m\u001b[1;33m,\u001b[0m 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"\u001b[1;31mKeyboardInterrupt\u001b[0m: " + ] + } + ], + "source": [ + "# Build initialized multiperiod model: Constraints g(u(t,d)) = 0 and h(u(t,d)) <= 0\n", + "build_multiperiod_design(m,\n", + " flowsheet=build_ne_flowsheet,\n", + " initialization=fix_dof_and_initialize,\n", + " unfix_dof=unfix_dof,\n", + " multiple_days=True,\n", + " multiyear=True,\n", + " verbose=False)" + ] + }, + { + "cell_type": "markdown", + "id": "suited-development", + "metadata": {}, + "source": [ + "Next, we define \n", + "\n", + "- Function `build_connecting_constraints` to declare the design decisions and to build the constraints $f(u_{t-1,d}, u_{t,d}) = 0$ and $u_{t,d} \\le D$. \n", + "- Function `append_costs_and_revenue` to build expressions for all the cash flows (electricity revenue, hydrogen revenue, fixed O&M, variable O&M, depreciation, etc.)\n", + "\n", + "Observe that we assume (Line 39 in the function below) that each day begins with an empty tank (i.e., zero holdup). This is one of the limitations of working with representative days/clusters. The excess storage at the end of each day cannot be transferred to the following day. This limitation can be overcome by formulating an optimization problem for an entire year, instead of a few representative days. This, however, increases the problem size substantially.\n", + "\n", + "**Note**: It is not necessary to define the above functions for the deterministic case. Nevertheless, we do so because it will be useful for the stochastic case, as we shall see in the next section." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "optimum-closing", + "metadata": {}, + "outputs": [], + "source": [ + "def build_connecting_constraints(m, set_time, set_days, set_years):\n", + " \n", + " \"\"\"\n", + " This function declares the first-stage variables or design decisions,\n", + " adds constraints that ensure that the operational variables never exceed their\n", + " design values, and adds constraints connecting variables at t - 1 and t\n", + " \"\"\"\n", + "\n", + " # Declare first-stage variables (Design decisions)\n", + " m.pem_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Maximum capacity of the PEM electrolyzer (in kW)\")\n", + " m.tank_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Maximum holdup of the tank (in mol)\")\n", + " m.h2_turbine_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Maximum power output from the turbine (in W)\")\n", + "\n", + " # Ensure that the electricity to the PEM elctrolyzer does not exceed the PEM capacity\n", + " @m.Constraint(set_time, set_days, set_years)\n", + " def pem_capacity_constraint(blk, t, d, y):\n", + " return blk.period[t, d, y].fs.pem.electricity[0] <= m.pem_capacity\n", + "\n", + " # Ensure that the final tank holdup does not exceed the tank capacity \n", + " @m.Constraint(set_time, set_days, set_years)\n", + " def tank_capacity_constraint(blk, t, d, y):\n", + " return blk.period[t, d, y].fs.h2_tank.tank_holdup[0] <= m.tank_capacity\n", + "\n", + " # Ensure that the power generated by the turbine does not exceed the turbine capacity\n", + " @m.Constraint(set_time, set_days, set_years)\n", + " def turbine_capacity_constraint(blk, t, d, y):\n", + " return (\n", + " - blk.period[t, d, y].fs.h2_turbine.turbine.work_mechanical[0]\n", + " - blk.period[t, d, y].fs.h2_turbine.compressor.work_mechanical[0] <=\n", + " m.h2_turbine_capacity\n", + " )\n", + "\n", + " # Connect the initial tank holdup at time t with the final tank holdup at time t - 1\n", + " @m.Constraint(set_time, set_days, set_years)\n", + " def tank_holdup_constraints(blk, t, d, y):\n", + " if t == 1:\n", + " # Each day begins with an empty tank\n", + " return (\n", + " blk.period[t, d, y].fs.h2_tank.tank_holdup_previous[0] == 0\n", + " )\n", + " else:\n", + " # Initial holdup at time t = final holdup at time t - 1\n", + " return (\n", + " blk.period[t, d, y].fs.h2_tank.tank_holdup_previous[0] ==\n", + " blk.period[t - 1, d, y].fs.h2_tank.tank_holdup[0]\n", + " )" + ] + }, + { + "cell_type": "markdown", + "id": "addressed-mount", + "metadata": {}, + "source": [ + "Next, we use the numbers in the table below for constructing the cash flow expressions.\n", + "\n", + "| Unit | CAPEX | Fixed O&M | Variable O&M |\n", + "| :- | :-: | :-: | :-: |\n", + "| PEM Electrolyzer | \\$1630 /kW | \\$47.9 /kW | \\$1.3 /MWh |\n", + "| Hydrogen tank | \\$29 /kWh | 0 | 0 |\n", + "| Hydrogen turbine | \\$947 /kW | \\$7 /kW | \\$4.25 /Mwh|\n", + "\n", + "We refer the reader to the Simulation of the Flowsheet section for the default units of the decision variables. We convert the cost numbers so that the units are consistent with that of the variable." + ] + }, + { + "cell_type": "markdown", + "id": "01055db2", + "metadata": {}, + "source": [ + "### TEAL: Defining component costs/revenues and corresponding IDAES variables " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cbf4c9c2", + "metadata": {}, + "outputs": [], + "source": [ + "# NOTE: Each cash flow per component must have:\n", + "# 1) Expression: pointing to the corresponding DISPATCHES Pyomo variable\n", + "# 2) Value: the cost per unit\n", + "# 3) Multiplier: any extra multiplier (currently using this to distinguish +/- cash flows)\n", + "# Each component must also have a Lifetime but all currently set to be the same\n", + "\n", + "components={\n", + " # Electrolyzer: negative Cash flows\n", + " \"pem\":{ \n", + " \"Lifetime\": 15,\n", + " \"Capex\":{\n", + " \"Expressions\": ['pem_capacity'],\n", + " \"Value\": 1630, # $/kW\n", + " \"Multiplier\": [-1],\n", + " },\n", + " \"FixedOM\":{\n", + " \"Expressions\": ['pem_capacity'],\n", + " \"Value\": 47.9, # $/kW\n", + " \"Multiplier\": [-1],\n", + " },\n", + " \"Hourly\":{\n", + " \"Expressions\": ['fs.pem.electricity'],\n", + " \"Value\": 1.3e-3, # $/MWh -> $/kWh\n", + " \"Multiplier\": [-1],\n", + " },\n", + " },\n", + " # Hydrogen Tank: negative Cash flows\n", + " \"h2tank\":{\n", + " \"Lifetime\": 15,\n", + " \"Capex\":{\n", + " \"Expressions\": ['tank_capacity'],\n", + " \"Value\": 1.946, # $29/kWh * 33.3 kWh/kg * 2.013e-3 kg/mol\n", + " \"Multiplier\": [-1],\n", + " },\n", + " },\n", + " # Hydrogen Turbine: negative Cash flows\n", + " \"h2turbine\":{ \n", + " \"Lifetime\": 15,\n", + " \"Capex\":{\n", + " \"Expressions\": ['h2_turbine_capacity'],\n", + " \"Value\": 0.947, # $/kW -> $/W\n", + " \"Multiplier\": [-1],\n", + " },\n", + " \"FixedOM\":{\n", + " \"Expressions\": ['h2_turbine_capacity'],\n", + " \"Value\": 0.007, # $/kW -> $/W\n", + " \"Multiplier\": [-1],\n", + " },\n", + " \"Hourly\":{\n", + " \"Expressions\": ['fs.h2_turbine.turbine.work_mechanical',\n", + " 'fs.h2_turbine.compressor.work_mechanical'],\n", + " \"Value\": 4.25e-6, # $/MWh -> $/Wh\n", + " \"Multiplier\": [1, 1], # these values come out as negative in expression\n", + " },\n", + " },\n", + " # Electricity Market: positive Cash flows\n", + " \"electricity_market\":{\n", + " \"Lifetime\": 15,\n", + " \"Hourly\":{\n", + " \"Expressions\": ['fs.np_power_split.np_to_grid_port.electricity',\n", + " 'fs.h2_turbine.turbine.work_mechanical',\n", + " 'fs.h2_turbine.compressor.work_mechanical'],\n", + " \"Value\": [], # this is LMP in $/MWh, should be path str to ROM\n", + " \"Multiplier\": [1e-3, -1e-6, -1e-6], # converting to $/kWh and $/Wh\n", + " },\n", + " },\n", + " # Hydrogen Market: positive Cash flows\n", + " \"h2_market\":{\n", + " \"Lifetime\": 15,\n", + " \"Hourly\":{\n", + " \"Expressions\": ['fs.h2_tank.outlet_to_pipeline.flow_mol'], # this is in mol/s\n", + " \"Value\": 3.0, # this is $/kg\n", + " \"Multiplier\": [7.2468] # convert from $/kg -> $/mol and also converting mol/s to mol/hr\n", + " },\n", + " },\n", + "}" + ] + }, + { + "cell_type": "markdown", + "id": "499296f9", + "metadata": {}, + "source": [ + "TEAL: Next, we should initialize global Cash flow attributes within TEAL.\n", + "\n", + "This includes passing discount rates, plant life, etc. from the notebook to an object of TEAL \n", + "global parameters. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "418b46b4", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import operator\n", + "\n", + "# *** HELPER FUNCTIONS / repurposed from TEAL/tests/PyomoTest.py ***\n", + "def build_econ_settings(cfs, life=5, dr=0.1, tax=0.21, infl=0.02184):\n", + " \"\"\"\n", + " Constructs global settings for econ run\n", + " @ In, cfs, CashFlow, cash flow components\n", + " @ In, life, float, life time of the years to evaluate\n", + " @ In, dr, float, discount rate\n", + " @ In, tax, float, the amount of tax ratio to apply\n", + " @ In, infl, float, the amount of inflation ratio to apply\n", + " @ Out, settings, CashFlow.GlobalSettings, settings\n", + " \"\"\"\n", + " active = []\n", + " for comp_name, cf_list in cfs.items():\n", + " for cf in cf_list:\n", + " active.append(f'{comp_name}|{cf}')\n", + " print(active)\n", + " params = {'DiscountRate': dr,\n", + " 'tax': tax,\n", + " 'inflation': infl,\n", + " 'ProjectTime': life,\n", + " 'Indicator': {'name': ['NPV'],\n", + " 'active': active}\n", + " }\n", + " settings = CashFlows.GlobalSettings()\n", + " settings.setParams(params)\n", + " settings._verbosity = 0\n", + " return settings\n", + "\n", + "tealSettings = build_econ_settings(components,\n", + " life=len(m.set_years),\n", + " dr=m.discount_rate,\n", + " tax=m.tax_rate)" + ] + }, + { + "cell_type": "markdown", + "id": "f93fefce", + "metadata": {}, + "source": [ + "TEAL: More helper methods distinguish between creating Capex, and recurring (hourly vs yearly) TEAL cash flows." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0b30e827", + "metadata": {}, + "outputs": [], + "source": [ + "def createCapex(comp, alpha, driver, life):\n", + " \"\"\"\n", + " Constructs the parameters for capital expenditures\n", + " @ In, comp, TEAL.src.CashFlows.Component, main structure to add component cash flows\n", + " @ In, alpha, float, price\n", + " @ In, driver, pyomo.core.base.var.ScalarVar, quantity sold\n", + " @ Out, cf, TEAL.src.CashFlows.Component, cashflow sale for each capital expenditures\n", + " \"\"\"\n", + " # extract alpha, driver as just one value\n", + " cf = CashFlows.Capex()\n", + " cf.name = 'Cap'\n", + " cf.initParams(life)\n", + " cfParams = {'name': 'Cap',\n", + " 'alpha': alpha,\n", + " 'driver': driver,\n", + " 'reference': 1.0,\n", + " 'X': 1.0,\n", + " 'depreciate': 1,\n", + " 'mult_target': None,\n", + " 'inflation': False,\n", + " }\n", + " cf.setParams(cfParams)\n", + " return cf\n", + "\n", + "\n", + "def createRecurringYearly(comp, alpha, driver, life):\n", + " \"\"\"\n", + " Constructs the parameters for capital expenditures\n", + " @ In, comp, TEAL.src.CashFlows.Component, main structure to add component cash flows\n", + " @ In, alpha, float, yearly price to populate\n", + " @ In, driver, pyomo.core.base.var.ScalarVar, quantity sold to populate\n", + " @ Out, cf, TEAL.src.CashFlows.Component, cashflow sale for the recurring yearly\n", + " \"\"\"\n", + " cf = CashFlows.Recurring()\n", + " cfParams = {'name': 'FixedOM',\n", + " 'X': 1,\n", + " 'mult_target': None,\n", + " 'inflation': False}\n", + " cf.setParams(cfParams)\n", + " # 0 for first year (build year) -> TODO couldn't this be automatic?\n", + " alphas = np.ones(life+1, dtype=object) * alpha\n", + " drivers = np.ones(life+1, dtype=object) * driver\n", + " alphas[0] = 0\n", + " drivers[0] = 0\n", + " # construct annual summary cashflows\n", + " cf.computeYearlyCashflow(alphas, drivers)\n", + " return cf\n", + "\n", + "\n", + "def createRecurringHourly(comp, alpha, driver, life):\n", + " \"\"\"\n", + " Constructs recurring cashflow with one value per hour\n", + " @ In, dfSet, tuple, includes pandas.Dataframe, dict of inputs, and pyomo concrete model loaded\n", + " sto run\n", + " @ In, comp, CashFlow.Component, component this cf will belong to\n", + " @ In, driver, string, variable name in df to take driver from\n", + " @ In, alpha, string, variable name in df to take alpha from\n", + " @ Out, comps, dict, dict mapping names to CashFlow component objects\n", + " \"\"\"\n", + " print('DEBUGG cRH life:', comp.name, life)\n", + " cf = CashFlows.Recurring()\n", + " cfParams = {'name': 'Hourly',\n", + " 'X': 1,\n", + " 'mult_target': None,\n", + " 'inflation': False}\n", + " cf.setParams(cfParams)\n", + " cf.initParams(life, pyomoVar=True)\n", + " for year in range(life):\n", + " if isinstance(alpha, float):\n", + " cf.computeIntrayearCashflow(year, alpha, driver[year, :])\n", + " else:\n", + " cf.computeIntrayearCashflow(year, alpha[year, :], driver[year, :])\n", + " return cf" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2df7b4f5", + "metadata": {}, + "outputs": [], + "source": [ + "def getCapexVarFromModel(comp, cfDict, mdl):\n", + " alpha = cfDict['Value']\n", + " mults = cfDict['Multiplier']\n", + " exprs = cfDict['Expressions']\n", + " assert( len(mults)==len(exprs) ) # NOTE: Multiplier same length as Driver\n", + "\n", + " pyomoExpr = [operator.attrgetter(exprs[i])(mdl) for i in range(len(exprs))]\n", + " driver = [m*pexp for m, pexp in zip(mults, pyomoExpr)]\n", + " driver = driver[0]\n", + " return alpha, driver\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "463cfe9b", + "metadata": {}, + "outputs": [], + "source": [ + "def getDispatchVarFromModel(comp, cfDict, mdl):\n", + " alpha = cfDict['Value']\n", + " mults = cfDict['Multiplier']\n", + " exprs = cfDict['Expressions']\n", + " assert( len(mults)==len(exprs) ) # NOTE: Multiplier same length as Driver\n", + "\n", + " # time indeces for HERON/TEAL\n", + " n_hours = len(mdl.set_time)\n", + " n_days = len(mdl.set_days)\n", + " n_years = len(mdl.set_years)\n", + " n_hours_per_year = n_hours * n_days # sometimes number of days refers to clusters < 365\n", + "\n", + " dispatch_array = np.zeros((n_years+1, n_hours_per_year), dtype=object)\n", + "\n", + " indeces = np.array([tuple(i) for i in mdl.period_index], dtype=\"i,i,i\")\n", + " time_shape = (n_years, n_hours_per_year) # reshaping the tuples array to match HERON dispatch\n", + " indeces = indeces.reshape(time_shape)\n", + "\n", + " # currently, taking this to mean that we are using the LMP signal... \n", + " # TODO: needs to be more general here\n", + " if alpha == []:\n", + " signal = mdl.LMP\n", + "\n", + " # plus 1 to year term to allow for 0 recurring costs during build year\n", + " alpha = np.zeros([n_years+1, n_hours_per_year])\n", + " # it necessary to have alpha be [year, clusterhour] instead of [year, cluster, hour]\n", + " # clusterhour loops through hours first, then cluster\n", + " realized_alpha = [[signal[y][d][h] \\\n", + " for d in mdl.set_days\n", + " for h in mdl.set_time] # order here matches *indeces*\n", + " for y in mdl.set_years] #shape here is [year, hour]\n", + " # first column of year axis is 0 for project year 0\n", + " alpha[1:,:] = realized_alpha\n", + "\n", + " # TODO: check that all periods and LMPs match up...\n", + " for pyear in range(n_years+1):\n", + " if pyear == 0:\n", + " continue\n", + "\n", + " for time in range(n_hours_per_year):\n", + " ind = tuple(indeces[pyear-1,time])\n", + " # looping through all DISPATCHES variables pertaining to this specific dispatch\n", + " # e.g., turbine costs due to work done by turbine + compressor, separate variables\n", + " dispatch_driver = 0\n", + " for ds, dStr in enumerate(exprs):\n", + " dispatch_driver += operator.attrgetter(dStr)(mdl.period[ind])[0] * mults[ds]\n", + "\n", + " # getting weights for each day/cluster\n", + " dy, yr = ind[1:]\n", + " weight = mdl.weights_days[yr][dy] # extracting weight for year + day\n", + "\n", + " # storing individual Pyomo dispatch\n", + " dispatch_array[pyear, time] = dispatch_driver * weight\n", + "\n", + " return alpha, dispatch_array\n", + "\n", + "def buildTealComponent(name, comp, mdl):\n", + " life = comp['Lifetime']\n", + " projLife = len(mdl.set_years) + 1\n", + " tealComp = CashFlows.Component()\n", + " tealComp.setParams({'name': name, \n", + " 'Life_time': comp['Lifetime']})\n", + " cashFlows = []\n", + "\n", + " for cfName, cfDict in comp.items():\n", + " if cfName == 'Capex':\n", + " alpha, driver = getCapexVarFromModel(comp, cfDict, mdl)\n", + " capex = createCapex(tealComp, alpha, driver, projLife)\n", + " cashFlows.append(capex)\n", + "\n", + " capex.setAmortization('MACRS', 3)\n", + " amorts = tealComp._createDepreciation(capex)\n", + " cashFlows.extend(amorts)\n", + " \n", + " elif cfName == 'FixedOM':\n", + " alpha, driver = getCapexVarFromModel(comp, cfDict, mdl)\n", + " fixedOM = createRecurringYearly(tealComp, alpha, driver, projLife)\n", + " cashFlows.append(fixedOM)\n", + " \n", + " elif cfName == 'Hourly':\n", + " alpha, driver = getDispatchVarFromModel(comp, cfDict, mdl)\n", + " hourly = createRecurringHourly(tealComp, alpha, driver, projLife)\n", + " cashFlows.append(hourly)\n", + " \n", + "\n", + " tealComp.addCashflows(cashFlows)\n", + " return tealComp\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "qualified-bargain", + "metadata": {}, + "outputs": [], + "source": [ + "def append_costs_and_revenue(m, ps, LMP):\n", + " \"\"\"\n", + " ps: Object containing information on sets and parameters\n", + " LMP: Dictionary containing the LMP data\n", + " \"\"\"\n", + "\n", + " set_time = ps.set_time # Set of hours\n", + " set_days = ps.set_days # Set of days/clusters\n", + " set_years = ps.set_years # Set of years\n", + " weights_days = ps.weights_days # Weights associated with each cluster\n", + "\n", + " h2_sp = ps.h2_price # Selling price of hydrogen\n", + " plant_life = ps.plant_life # Plant lifetime\n", + " tax_rate = ps.tax_rate # Corporate tax rate\n", + " discount_rate = ps.discount_rate # Discount rate\n", + " \n", + " years_vec = [y - set_years[0] + 1 for y in set_years]\n", + " years_vec.append(plant_life + 1)\n", + " weights_years = {y: sum(1 / (1 + discount_rate) ** i\n", + " for i in range(years_vec[j], years_vec[j + 1]))\n", + " for j, y in enumerate(set_years)}\n", + "\n", + " # PEM CAPEX: $1630/kWh and pem_capacity is in kW,\n", + " # Tank CAPEX: $29/kWh, the LHV of hydrogen is 33.3 kWh/kg,\n", + " # the molecular mass of hydrogen is 2.016e-3 kg/mol and\n", + " # tank_capacity is in moles \n", + " # Turbine CAPEX: $947/kWh and turbine_capacity is in W\n", + " m.capex = Expression(\n", + " expr=(1630 * m.pem_capacity +\n", + " (29 * 33.3 * 2.016e-3) * m.tank_capacity +\n", + " (947 / 1000) * m.h2_turbine_capacity),\n", + " doc=\"Total capital cost (in USD)\"\n", + " )\n", + "\n", + " # Fixed O&M of PEM: $47.9/kW\n", + " # Fixed O&M of turbine: $7/kW\n", + " @m.Expression(set_years,\n", + " doc=\"Fixed O&M cost per year (in USD)\")\n", + " def fixed_om_cost(blk, y):\n", + " return (\n", + " 47.9 * m.pem_capacity + 7e-3 * m.h2_turbine_capacity\n", + " )\n", + "\n", + " # Variable O&M: PEM: $1.3/MWh and turbine: $4.25/MWh\n", + " @m.Expression(set_years,\n", + " doc=\"Total variable O&M cost per year (in USD)\")\n", + " def variable_om_cost(blk, y):\n", + " return (\n", + " (1.3 * 1e-3) * sum(weights_days[y][d] * blk.period[t, d, y].fs.pem.electricity[0]\n", + " for t in set_time for d in set_days) +\n", + " (4.25 * 1e-6) * sum(weights_days[y][d] * (\n", + " - blk.period[t, d, y].fs.h2_turbine.turbine.work_mechanical[0]\n", + " - blk.period[t, d, y].fs.h2_turbine.compressor.work_mechanical[0])\n", + " for t in set_time for d in set_days)\n", + " )\n", + "\n", + " @m.Expression(set_years,\n", + " doc=\"Revenue generated by selling electricity per year (in USD)\")\n", + " def electricity_revenue(blk, y):\n", + " return (\n", + " sum(weights_days[y][d] * LMP[y][d][t] *\n", + " (blk.period[t, d, y].fs.np_power_split.np_to_grid_port.electricity[0] * 1e-3 -\n", + " blk.period[t, d, y].fs.h2_turbine.turbine.work_mechanical[0] * 1e-6 -\n", + " blk.period[t, d, y].fs.h2_turbine.compressor.work_mechanical[0] * 1e-6)\n", + " for t in set_time for d in set_days)\n", + " )\n", + "\n", + " @m.Expression(set_years,\n", + " doc=\"Revenue generated by selling hydrogen per year (in USD)\")\n", + " def h2_revenue(blk, y):\n", + " return (\n", + " h2_sp * 2.016e-3 * 3600 *\n", + " sum(weights_days[y][d] *\n", + " blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0]\n", + " for t in set_time for d in set_days)\n", + " )\n", + "\n", + " @m.Expression(set_years,\n", + " doc=\"Depreciation value per year (in USD)\")\n", + " def depreciation(blk, y):\n", + " return (\n", + " blk.capex / plant_life\n", + " )\n", + "\n", + " @m.Expression(set_years,\n", + " doc=\"Net profit per year (in USD)\")\n", + " def net_profit(blk, y):\n", + " return (\n", + " blk.depreciation[y] + (1 - tax_rate) * (+ blk.h2_revenue[y]\n", + " + blk.electricity_revenue[y]\n", + " - blk.fixed_om_cost[y]\n", + " - blk.variable_om_cost[y]\n", + " - blk.depreciation[y])\n", + " )\n", + "\n", + " m.npv = Expression(\n", + " expr=sum(weights_years[y] * m.net_profit[y] for y in set_years) - m.capex,\n", + " doc=\"Net present value (in USD)\"\n", + " )" + ] + }, + { + "cell_type": "markdown", + "id": "banner-native", + "metadata": {}, + "source": [ + "We now build the remaining constraints and the objective function by calling `build_connecting_constraints` and `append_cost_and_revenue` functions, and solve the optimization problem." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "republican-diagnosis", + "metadata": {}, + "outputs": [], + "source": [ + "# Build the connecting constraints\n", + "build_connecting_constraints(m, \n", + " set_time=m.set_time, \n", + " set_days=m.set_days,\n", + " set_years=m.set_years)\n", + "\n", + "# Hydrogen demand constraint. divide the RHS by the molecular mass to convert kg/s to mol/s\n", + "@m.Constraint(m.set_time, m.set_days, m.set_years)\n", + "def hydrogen_demand_constraint(blk, t, d, y):\n", + " return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / 2.016e-3\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c5844dcd", + "metadata": {}, + "outputs": [], + "source": [ + "# # Append cash flow expressions\n", + "# append_costs_and_revenue(m,\n", + "# ps=m,\n", + "# LMP=m.LMP)\n", + "#=================================================\n", + "tealComponentList = []\n", + "for name, comp in components.items():\n", + " tealComp = buildTealComponent(name, comp, m)\n", + " tealComponentList.append(tealComp)\n", + "\n", + "metrics = RunCashFlow.run(tealSettings, tealComponentList, {}, pyomoVar=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "71991e45", + "metadata": {}, + "outputs": [], + "source": [ + "# print(m.npv.expr)\n", + "with open(\"TEAL_output.txt\", \"w\") as text_file:\n", + " # text_file.write(str(m.npv.expr))\n", + " text_file.write(str(metrics['NPV']))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d7355a37", + "metadata": {}, + "outputs": [], + "source": [ + "# Append cash flow expressions\n", + "# append_costs_and_revenue(m,\n", + "# ps=m,\n", + "# LMP=m.LMP)\n", + "\n", + "#=================================================\n", + "# tealComponentList = []\n", + "# for name, comp in components.items():\n", + "# tealComp = buildTealComponent(name, comp, m)\n", + "# tealComponentList.append(tealComp)\n", + "\n", + "metrics = RunCashFlow.run(tealSettings, tealComponentList, {}, pyomoVar=True)\n", + "\n", + "# Define the objective function\n", + "m.obj = Objective(expr=metrics['NPV'], sense=maximize)\n", + "\n", + "#=================================================\n", + "# m.obj = Objective(expr=m.npv, sense=maximize)\n", + "# Define the solver object. Using IPOPT\n", + "solver = get_solver()\n", + "\n", + "# Solver the optimization problem\n", + "solver.solve(m, tee=True)" + ] + }, + { + "cell_type": "markdown", + "id": "confident-neutral", + "metadata": {}, + "source": [ + "Verify that the solver converges to the optimal solution. We now print the results and answer the questions posed at the beginning of this notebook. To recall, we are interested in determining whether the following options are attractive (i.e., maximize NPV):\n", + "\n", + "- Produce hydrogen using a portion of the electricity, especially during periods of low electricity demand, and sell it.\n", + "- Produce hydrogen, store it in a tank, and combust it to produce electrity during the periods of high electricity demand." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "scientific-nudist", + "metadata": {}, + "outputs": [], + "source": [ + "def generate_plots(m, d, y, set_time, lmp):\n", + " LMP = [lmp[y][d][t] for t in set_time]\n", + " \n", + " # Power from nuclear power plant to the grid (convert it to MW)\n", + " np_to_grid = [m.period[t, d, y].fs.np_power_split.split_fraction[\"np_to_grid\", 0].value \n", + " for t in set_time]\n", + " # Hydrogen production rate in the PEM electrolyzer (convert it to kg/hr)\n", + " h2_production = [m.period[t, d, y].fs.pem.outlet.flow_mol[0].value * 2.013e-3 * 3600\n", + " for t in set_time]\n", + " # Hydrogen flowrate to pipeline (convert it to kg/hr)\n", + " h2_to_pipeline = [m.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0].value * 2.013e-3 * 3600\n", + " for t in set_time]\n", + " # Hydrogen flowrate to turbine (convert it to kg/hr)\n", + " h2_to_turbine = [m.period[t, d, y].fs.h2_tank.outlet_to_turbine.flow_mol[0].value * 2.013e-3 * 3600\n", + " for t in set_time]\n", + " \n", + " # Plot the results\n", + " plot_lmp_and_schedule(lmp=LMP,\n", + " schedule={\"power_to_grid\": np_to_grid,\n", + " \"h2_production\": h2_production,\n", + " \"h2_to_pipeline\": h2_to_pipeline,\n", + " \"h2_to_turbine\": h2_to_turbine},\n", + " y_label={\"power_to_grid\": \"Split fraction to grid [-]\",\n", + " \"h2_production\": \"Hydrogen production (kg/hr)\",\n", + " \"h2_to_pipeline\": \"Hydrogen to pipeline (kg/hr)\",\n", + " \"h2_to_turbine\": \"Hydrogen to turbine (kg/hr)\"},\n", + " y_range={\"power_to_grid\": (0.5, 1.02),\n", + " \"h2_production\": (0, 4000),\n", + " \"h2_to_pipeline\": (0, 4000),\n", + " \"h2_to_turbine\": (-0.5, 10)})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "disabled-invitation", + "metadata": {}, + "outputs": [], + "source": [ + "# Print Results\n", + "print(\"Optimal PEM capacity : \", m.pem_capacity.value * 1e-3, \"MW\")\n", + "print(\"Optimal tank capacity : \", m.tank_capacity.value * 2.016e-3, \"kg\")\n", + "print(\"OPtimal turbine capacity: \", m.h2_turbine_capacity.value * 1e-6, \"MW\")\n", + "\n", + "# Using `generate_plots` we plot optimal operating conditions for a specific day\n", + "generate_plots(m, d=1, y=2022, set_time=m.set_time, lmp=m.LMP)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "brutal-sigma", + "metadata": {}, + "outputs": [], + "source": [ + "# Using `generate_plots` we plot optimal operating conditions for a specific day\n", + "generate_plots(m, d=8, y=2022, set_time=m.set_time, lmp=m.LMP)\n" + ] + }, + { + "cell_type": "markdown", + "id": "empty-identity", + "metadata": {}, + "source": [ + "- Clearly, when the selling price of hydrogen is $3/kg, it is attractive (maximizes NPV) to produce hydrogen using a portion of electricity when its price is sufficiently low.\n", + "- However, storing hydrogen and combusting it later to produce electricity is not attractive. This is inferred from the optimal size of the hydrogen tank and the size of the turbine, respectively (both the values are zero. We see a small nonzero value because we imposed small nonzero lower bounds on flows to avoid convergence issues). \n", + "\n", + "The optimal size of the PEM electrolyzer for the production of hydrogen is 196.26 MW for a hydrogen demand of 1 kg/s. The hydrogen tank and the hydrogen turbine must not be built to maximize the NPV. The hydrogen produced by the PEM electrolyzer must be sold immediately to the hydrogen market via the pipeline." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "brilliant-prairie", + "metadata": {}, + "outputs": [], + "source": [ + "# These optimization problems tend to be very large, so we \n", + "# delete the model after analyzing the results to save memory.\n", + "del m" + ] + }, + { + "cell_type": "markdown", + "id": "civic-special", + "metadata": {}, + "source": [ + "## Multiperiod Optimization Model: Stochastic\n", + "\n", + "### LMP Signal\n", + "\n", + "As mentioned in the previous section, due to uncertainty in various factors such as weather, demand, etc., it is not possible to determine the future locational marginal price accurately. There are many approaches to take into account the uncertainty in the LMP signal during the decision making process. One such approach involves the generation of potential LMP scenarios along with their associated probabilities and use them to formulate a stochastic program.\n", + "\n", + "Here, for demonstration, we consider two different realizations of the LMP signal (i.e., two scenarios: scenario 0 and scenario 1). " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "previous-sending", + "metadata": {}, + "outputs": [], + "source": [ + "# Gather the LMP data needed for the stochastic case\n", + "# Notation: lmp_dataset[scenario][year][cluster/day][time/hour]\n", + "lmp_stochastic = {scenario: {year: {cluster: {hour: lmp_dataset[str(scenario)][str(year)][str(cluster)][str(hour)]\n", + " for hour in range(1, 25)} \n", + " for cluster in range(1, 21)}\n", + " for year in [2022]}\n", + " for scenario in [0, 1]}" + ] + }, + { + "cell_type": "markdown", + "id": "polar-bridge", + "metadata": {}, + "source": [ + "Next, we formulate an optimization problem of the form\n", + "$$ \\begin{aligned}\n", + "\\max_{D, D_s, u_{s, t, d}} \\quad & \\sum_s w_s \\text{NPV}_s(D_s, u_{s, t, d})\\\\\n", + "& g(u_{s, t, d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S} \\\\\n", + "& h(u_{s, t, d}) \\le 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S} \\\\\n", + "& f(u_{s, t-1, d}, u_{s, t, d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S} \\\\\n", + "& u_{s, t, d} \\le D_s, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S}\\\\\n", + "& D_s = D, & & \\forall\\; s \\in \\mathcal{S}\n", + "\\end{aligned}$$\n", + "\n", + "Here, the sets $\\mathcal{S} = \\{0, 1\\}$, $\\mathcal{T} = \\{1, \\dots, 24\\}$ and $\\mathcal{C} = \\{1, \\dots, 20\\}$ denote the the set of scenarios, the set of hours in a day and the set of clusters/days in a year, respectively. $D$ denotes the design decisions (or, first-stage variables) viz. size of the PEM electrolyzer (`pem_capacity`), tank (`tank_capacity`) and the turbine (`turbine_capacity`), and $D_s$ denotes the design decisions in scenario $s$. $u_{s, t, d}$ denotes the operating decisions (or, second-stage decisions) in scenario $s$, at time $t$ of day/cluster $d$. $g(u_{s, t, d}) = 0$ and $h(u_{s, t,d}) \\le 0$ denote the flowsheet model, $f(u_{s, t-1,d}, u_{s, t,d}) = 0$ connects the operating decisions at time $t-1$ and at time $t$ (e.g., tank holdup), and $u_{s, t, d} \\le D_s$ ensures that the operating decision values never exceed the design capacity values (e.g., tank holdup at any time instant must not exceed the tank capacity) in scenario $s$. Finally, $D_s = D$ ensures that the design decisions are maintained the same in all scenarios (non-anticipativity constraints).\n", + "\n", + "In the objective function, $w_s$ denotes the probability associated with scenario $s$, and $\\text{NPV}_s$ stands for the net present value calculated in scenario $s$." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "lightweight-prediction", + "metadata": {}, + "outputs": [], + "source": [ + "# Create concrete model object\n", + "m = ConcreteModel()\n", + "\n", + "# Define sets\n", + "m.set_time = RangeSet(24) # twenty fours in a day\n", + "m.set_days = RangeSet(20) # twenty clusters/days per year\n", + "m.set_years = [2022] # Set of years\n", + "m.set_scenarios = [0, 1] # Set of scenarios\n", + "\n", + "# Define parameters\n", + "m.plant_life = 20 # Plant lifetime: 20 years\n", + "m.tax_rate = 0.2 # Corporate tax rate: 20%\n", + "m.discount_rate = 0.08 # Discount rate: 8%\n", + "m.h2_price = 3 # Selling price of hydrogen: $3/kg\n", + "m.h2_demand = 1 # Maximum amount of hydrogen that can be sold: 1 kg/s\n", + "m.LMP = lmp_stochastic # LMP signal\n", + "m.weights_days = weights_days # number of days represented by each cluster\n", + "m.weights_scenarios = {0: 0.5, 1: 0.5} # Equal probability for both the scenarios" + ] + }, + { + "cell_type": "markdown", + "id": "talented-dietary", + "metadata": {}, + "source": [ + "Next, we call the `build_multiperiod_design` function to formulate the multi-period optimization problem. However, this time, we also set `stochastic=True`. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "returning-moderator", + "metadata": {}, + "outputs": [], + "source": [ + "# Build initialized multiperiod model: Constraints g(u(t,d)) = 0 and h(u(t,d)) <= 0\n", + "build_multiperiod_design(m,\n", + " flowsheet=build_ne_flowsheet,\n", + " initialization=fix_dof_and_initialize,\n", + " unfix_dof=unfix_dof,\n", + " multiple_days=True,\n", + " multiyear=True,\n", + " stochastic=True,\n", + " verbose=False)" + ] + }, + { + "cell_type": "markdown", + "id": "divine-zimbabwe", + "metadata": {}, + "source": [ + "Next, add the connecting constraints and hydrogen demand constraints for each of the scenarios." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "elder-victoria", + "metadata": {}, + "outputs": [], + "source": [ + "for s in m.set_scenarios:\n", + " # Build the connecting constraints\n", + " build_connecting_constraints(m.scenario[s], \n", + " set_time=m.set_time, \n", + " set_days=m.set_days,\n", + " set_years=m.set_years)\n", + "\n", + " # Append cash flow expressions\n", + " append_costs_and_revenue(m.scenario[s],\n", + " ps=m,\n", + " LMP=m.LMP[s])\n", + " \n", + " # Hydrogen demand constraint. \n", + " # Divide the RHS by the molecular mass to convert kg/s to mol/s\n", + " obj = m.scenario[s]\n", + " @obj.Constraint(m.set_time, m.set_days, m.set_years)\n", + " def hydrogen_demand_constraint(blk, t, d, y):\n", + " return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / 2.016e-3" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "suburban-radar", + "metadata": {}, + "outputs": [], + "source": [ + "# Add non-anticipativity constraints\n", + "m.pem_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Design PEM capacity (in kW)\")\n", + "m.tank_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Design tank capacity (in mol)\")\n", + "m.h2_turbine_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Design turbine capacity (in W)\")\n", + "\n", + "@m.Constraint(m.set_scenarios)\n", + "def non_anticipativity_pem(blk, s):\n", + " return blk.pem_capacity == blk.scenario[s].pem_capacity\n", + "\n", + "@m.Constraint(m.set_scenarios)\n", + "def non_anticipativity_tank(blk, s):\n", + " return blk.tank_capacity == blk.scenario[s].tank_capacity\n", + "\n", + "@m.Constraint(m.set_scenarios)\n", + "def non_anticipativity_turbine(blk, s):\n", + " return blk.h2_turbine_capacity == blk.scenario[s].h2_turbine_capacity" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "liberal-riverside", + "metadata": {}, + "outputs": [], + "source": [ + "# Define the objective function\n", + "m.obj = Objective(expr=sum(m.weights_scenarios[s] * m.scenario[s].npv\n", + " for s in m.set_scenarios), \n", + " sense=maximize)\n", + "\n", + "# Define the solver object. Using the default solver: IPOPT\n", + "solver = get_solver()\n", + "\n", + "# Solve the optimization problem\n", + "solver.solve(m, tee=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "civil-celebration", + "metadata": {}, + "outputs": [], + "source": [ + "# Print Results\n", + "print(\"Optimal PEM capacity : \", m.pem_capacity.value * 1e-3, \"MW\")\n", + "print(\"Optimal tank capacity : \", m.tank_capacity.value * 2.016e-3, \"kg\")\n", + "print(\"OPtimal turbine capacity: \", m.h2_turbine_capacity.value * 1e-6, \"MW\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "protecting-asthma", + "metadata": {}, + "outputs": [], + "source": [ + "generate_plots(m.scenario[0], d=8, y=2022, set_time=m.set_time, lmp=m.LMP[0])" + ] + }, + { + "cell_type": "markdown", + "id": "protecting-flexibility", + "metadata": {}, + "source": [ + "Even in the stochastic case, we observe the same result i.e., producing hydrogen and selling it during the periods of low electricity demand is profitable. Whereas, building a turbine to combust hydrogen and produce electricity is not attractive. " + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.7.12 ('raven_libraries')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.12" + }, + "vscode": { + "interpreter": { + "hash": "6d0acf42cb0fb1bfbd1a977660e9dbc5c6cac802e2d2bc70e5030ba691b903ab" + } + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 78971db0af2787b5398b58a9e498ab921a757ad7 Mon Sep 17 00:00:00 2001 From: "Gabriel J. Soto" Date: Fri, 19 Aug 2022 15:16:23 -0600 Subject: [PATCH 02/29] some more commenting and year-fixes --- .../multiperiod_design_pricetaker_wTEAL.ipynb | 383 +++++++++++++----- 1 file changed, 285 insertions(+), 98 deletions(-) diff --git a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb index 136885845..9cd0fc842 100644 --- a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb +++ b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb @@ -44,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "automated-antigua", "metadata": {}, "outputs": [], @@ -89,7 +89,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "e3e331c5", "metadata": {}, "outputs": [], @@ -142,12 +142,133 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "annoying-myrtle", "metadata": { "scrolled": false }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2022-08-19 13:48:52 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-08-19 13:48:52 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:52 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:52 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-08-19 13:48:53 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:53 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-08-19 13:48:53 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:53 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:53 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-08-19 13:48:53 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:53 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:53 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:53 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-08-19 13:48:53 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:53 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-08-19 13:48:53 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:53 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:53 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:53 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-08-19 13:48:54 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:54 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-08-19 13:48:54 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:54 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-08-19 13:48:54 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:54 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:54 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-19 13:48:54 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-08-19 13:48:54 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-08-19 13:48:54 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:54 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-08-19 13:48:54 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:54 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:54 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-08-19 13:48:55 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:55 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:55 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-19 13:48:55 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-08-19 13:48:55 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:55 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-08-19 13:48:55 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:55 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-08-19 13:48:55 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-19 13:48:55 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-08-19 13:48:55 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:55 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-08-19 13:48:56 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:56 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:56 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-08-19 13:48:56 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:56 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:48:56 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-19 13:48:56 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "Degrees of freedom: 0\n", + "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", + "tol=1e-06\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.14.7, running with linear solver MUMPS 5.5.0.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 593\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 204\n", + "\n", + "Total number of variables............................: 215\n", + " variables with only lower bounds: 20\n", + " variables with lower and upper bounds: 180\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 215\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 5.55e+04 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 0.0000000e+00 3.49e-08 2.36e-01 -1.0 9.80e-03 - 9.90e-01 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 1\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 2.3283064365386963e-10 3.4924596548080444e-08\n", + "Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 2.3283064365386963e-10 3.4924596548080444e-08\n", + "\n", + "\n", + "Number of objective function evaluations = 2\n", + "Number of objective gradient evaluations = 2\n", + "Number of equality constraint evaluations = 2\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 2\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 1\n", + "Total seconds in IPOPT = 0.007\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.09967422485351562}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Create a concrete model object\n", "m = ConcreteModel()\n", @@ -179,10 +300,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "animal-astronomy", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Nuclear plant power production : 1000000.0 kW\n", + "Electricity to grid : 800000.0 kW\n", + "Electricity to PEM : 199999.99999999997 kW\n", + "\n", + "Flowrate of H2 from pem : 505.4811999999999 mol/s\n", + "\n", + "Flowrate of H2 to tank : 505.4811999999999 mol/s\n", + "Flowrate of H2 to pipeline : 10 mol/s\n", + "Flowrate of H2 to turbine : 10 mol/s\n", + "Initial tank holdup : 0 mol\n", + "Tank holdup at the end of 1 hr : 1747732.3199999996 mol\n", + "H2 Turbine's compressor work : 1764604.5955977994 kg*m**2/s**3\n", + "H2 Turbine's turbine work : -2672169.126200441 kg*m**2/s**3\n", + "Net power produced by turbine : 907564.5306026414 kg*m**2/s**3\n" + ] + } + ], "source": [ "def get_units(obj):\n", " return str(pyunits.get_units(obj))\n", @@ -233,7 +375,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "guilty-appliance", "metadata": {}, "outputs": [], @@ -263,7 +405,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "involved-skill", "metadata": {}, "outputs": [], @@ -277,12 +419,12 @@ "lmp_deterministic = {year: {cluster: {hour: lmp_dataset[\"0\"][str(year)][str(cluster)][str(hour)]\n", " for hour in range(1, 25)} \n", " for cluster in range(1, 21)}\n", - " for year in [2022, 2032]}\n", + " for year in [2022]}\n", "\n", "# Size of each cluster/number of days in a year represented by the cluster\n", "weights_days = {year: {cluster: lmp_dataset[str(0)][str(year)][str(cluster)][\"num_days\"]\n", " for cluster in range(1, 21)}\n", - " for year in [2022, 2032]}\n" + " for year in [2022]}\n" ] }, { @@ -306,7 +448,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "driven-allah", "metadata": {}, "outputs": [], @@ -317,7 +459,7 @@ "# Define sets\n", "m.set_time = RangeSet(24) # twenty fours in a day\n", "m.set_days = RangeSet(20) # twenty clusters/days per year\n", - "m.set_years = [2022, 2023] # Set of years\n", + "m.set_years = [2022] # Set of years\n", "\n", "# Define parameters\n", "m.plant_life = 20 # Plant lifetime: 20 years\n", @@ -346,7 +488,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "senior-multimedia", "metadata": {}, "outputs": [], @@ -411,61 +553,64 @@ "name": "stdout", "output_type": "stream", "text": [ - "ERROR: Constructing component\n", - " 'period[2,4,2022].fs.h2_turbine.compressor.properties_isentropic' from\n", - " data=None failed: KeyboardInterrupt:\n", - "ERROR: Constructing component 'period[2,4,2022].fs.h2_turbine.compressor' from\n", - " data=None failed: KeyboardInterrupt:\n", - "ERROR: Constructing component 'period[2,4,2022].fs.h2_turbine' from data=None\n", - " failed: KeyboardInterrupt:\n", - "ERROR: Constructing component 'period' from data=None failed:\n", - " KeyboardInterrupt:\n" - ] - }, - { - "ename": "KeyboardInterrupt", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m~\\AppData\\Local\\Temp\\1\\ipykernel_7412\\10234574.py\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 6\u001b[0m \u001b[0mmultiple_days\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 7\u001b[0m \u001b[0mmultiyear\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 8\u001b[1;33m verbose=False)\n\u001b[0m", - "\u001b[1;32mc:\\users\\sotogj\\projects\\dispatches\\dispatches\\case_studies\\nuclear_case\\multiperiod.py\u001b[0m in \u001b[0;36mbuild_multiperiod_design\u001b[1;34m(m, flowsheet, initialization, unfix_dof, flowsheet_options, initialization_options, unfix_dof_options, solver, verbose, stochastic, multiyear, multiple_days, **kwargs)\u001b[0m\n\u001b[0;32m 133\u001b[0m \u001b[0mm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mscenario\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mBlock\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mset_scenarios\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrule\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0m_build_scenario_model\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 134\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 135\u001b[1;33m \u001b[0m_build_scenario_model\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mm\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 136\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 137\u001b[0m \u001b[0mtimer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtoc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Completed the formulation of the multiperiod problem\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\users\\sotogj\\projects\\dispatches\\dispatches\\case_studies\\nuclear_case\\multiperiod.py\u001b[0m in \u001b[0;36m_build_scenario_model\u001b[1;34m(blk)\u001b[0m\n\u001b[0;32m 125\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 126\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_build_scenario_model\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mblk\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 127\u001b[1;33m \u001b[0mblk\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mperiod\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mBlock\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mset_period\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrule\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0m_period_model_rule\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mflowsheet_options\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mverbose\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 128\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 129\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mblk\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36m__setattr__\u001b[1;34m(self, name, val)\u001b[0m\n\u001b[0;32m 542\u001b[0m \u001b[1;31m# Pyomo components are added with the add_component method.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 543\u001b[0m \u001b[1;31m#\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 544\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd_component\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 545\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 546\u001b[0m \u001b[1;31m#\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36madd_component\u001b[1;34m(self, name, val)\u001b[0m\n\u001b[0;32m 1087\u001b[0m _blockName, str(data))\n\u001b[0;32m 1088\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1089\u001b[1;33m \u001b[0mval\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconstruct\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1090\u001b[0m \u001b[1;32mexcept\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1091\u001b[0m \u001b[0merr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msys\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexc_info\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36mconstruct\u001b[1;34m(self, data)\u001b[0m\n\u001b[0;32m 1962\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0m_idx\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex_set\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1963\u001b[0m \u001b[1;31m# Trigger population & call the rule\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1964\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_when_not_present\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_idx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1965\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1966\u001b[0m \u001b[1;31m# We must check that any pre-existing components are\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36m_getitem_when_not_present\u001b[1;34m(self, idx)\u001b[0m\n\u001b[0;32m 1911\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1912\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1913\u001b[1;33m \u001b[0mobj\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_rule\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_block\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0midx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1914\u001b[0m \u001b[1;31m# If the user returns a block, transfer over everything\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1915\u001b[0m \u001b[1;31m# they defined into the empty one we created. We do\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\initializer.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, parent, idx)\u001b[0m\n\u001b[0;32m 371\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 372\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m__call__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mparent\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0midx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 373\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_fcn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mparent\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 374\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 375\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mconstant\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\users\\sotogj\\projects\\dispatches\\dispatches\\case_studies\\nuclear_case\\multiperiod.py\u001b[0m in \u001b[0;36m_period_model\u001b[1;34m(blk)\u001b[0m\n\u001b[0;32m 120\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Constructing flowsheet model for \"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mblk\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 121\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 122\u001b[1;33m \u001b[0mflowsheet\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mblk\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0moptions\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0moptions\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 123\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 124\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0m_period_model\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\users\\sotogj\\projects\\dispatches\\dispatches\\case_studies\\nuclear_case\\nuclear_flowsheet.py\u001b[0m in \u001b[0;36mbuild_ne_flowsheet\u001b[1;34m(m, **kwargs)\u001b[0m\n\u001b[0;32m 125\u001b[0m m.fs.h2_turbine = HydrogenTurbine(\n\u001b[0;32m 126\u001b[0m default={\"property_package\": m.fs.h2turbine_props,\n\u001b[1;32m--> 127\u001b[1;33m \"reaction_package\": m.fs.reaction_params})\n\u001b[0m\u001b[0;32m 128\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 129\u001b[0m \"\"\"\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36m__setattr__\u001b[1;34m(self, name, val)\u001b[0m\n\u001b[0;32m 542\u001b[0m \u001b[1;31m# Pyomo components are added with the add_component method.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 543\u001b[0m \u001b[1;31m#\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 544\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd_component\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 545\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 546\u001b[0m \u001b[1;31m#\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36madd_component\u001b[1;34m(self, name, val)\u001b[0m\n\u001b[0;32m 1087\u001b[0m _blockName, str(data))\n\u001b[0;32m 1088\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1089\u001b[1;33m \u001b[0mval\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconstruct\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1090\u001b[0m \u001b[1;32mexcept\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1091\u001b[0m \u001b[0merr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msys\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexc_info\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36mconstruct\u001b[1;34m(self, data)\u001b[0m\n\u001b[0;32m 1986\u001b[0m \u001b[0mobj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconstruct\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1987\u001b[0m \u001b[1;31m# Trigger the (normal) initialization of the block\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1988\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_when_not_present\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_idx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1989\u001b[0m \u001b[1;32mfinally\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1990\u001b[0m \u001b[1;31m# We must allow that id(self) may no longer be in\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36m_getitem_when_not_present\u001b[1;34m(self, idx)\u001b[0m\n\u001b[0;32m 1911\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1912\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1913\u001b[1;33m \u001b[0mobj\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_rule\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_block\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0midx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1914\u001b[0m \u001b[1;31m# If the user returns a block, transfer over everything\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1915\u001b[0m \u001b[1;31m# they defined into the empty one we created. We do\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\initializer.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, parent, idx)\u001b[0m\n\u001b[0;32m 251\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_fcn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mparent\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0midx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 252\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 253\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_fcn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mparent\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0midx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 254\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 255\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\idaes\\core\\base\\process_block.py\u001b[0m in \u001b[0;36m_rule_default\u001b[1;34m(b, *args)\u001b[0m\n\u001b[0;32m 35\u001b[0m \"\"\"\n\u001b[0;32m 36\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 37\u001b[1;33m \u001b[0mb\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mbuild\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 38\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mException\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 39\u001b[0m \u001b[0mlogging\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgetLogger\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m__name__\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexception\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Failure in build: {}\"\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mb\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\users\\sotogj\\projects\\dispatches\\dispatches\\unit_models\\hydrogen_turbine_unit.py\u001b[0m in \u001b[0;36mbuild\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 102\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 103\u001b[0m self.compressor = Compressor(\n\u001b[1;32m--> 104\u001b[1;33m default={\"property_package\": self.config.property_package})\n\u001b[0m\u001b[0;32m 105\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 106\u001b[0m self.stoic_reactor = StoichiometricReactor(\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36m__setattr__\u001b[1;34m(self, name, val)\u001b[0m\n\u001b[0;32m 542\u001b[0m \u001b[1;31m# Pyomo components are added with the add_component method.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 543\u001b[0m \u001b[1;31m#\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 544\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd_component\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 545\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 546\u001b[0m \u001b[1;31m#\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36madd_component\u001b[1;34m(self, name, val)\u001b[0m\n\u001b[0;32m 1087\u001b[0m _blockName, str(data))\n\u001b[0;32m 1088\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1089\u001b[1;33m \u001b[0mval\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconstruct\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1090\u001b[0m \u001b[1;32mexcept\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1091\u001b[0m \u001b[0merr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msys\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexc_info\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36mconstruct\u001b[1;34m(self, data)\u001b[0m\n\u001b[0;32m 1986\u001b[0m \u001b[0mobj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconstruct\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1987\u001b[0m \u001b[1;31m# Trigger the (normal) initialization of the block\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1988\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_when_not_present\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_idx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1989\u001b[0m \u001b[1;32mfinally\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1990\u001b[0m \u001b[1;31m# We must allow that id(self) may no longer be in\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36m_getitem_when_not_present\u001b[1;34m(self, idx)\u001b[0m\n\u001b[0;32m 1911\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1912\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1913\u001b[1;33m \u001b[0mobj\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_rule\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_block\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0midx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1914\u001b[0m \u001b[1;31m# If the user returns a block, transfer over everything\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1915\u001b[0m \u001b[1;31m# they defined into the empty one we created. We do\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\initializer.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, parent, idx)\u001b[0m\n\u001b[0;32m 251\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_fcn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mparent\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0midx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 252\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 253\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_fcn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mparent\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0midx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 254\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 255\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\idaes\\core\\base\\process_block.py\u001b[0m in \u001b[0;36m_rule_default\u001b[1;34m(b, *args)\u001b[0m\n\u001b[0;32m 35\u001b[0m \"\"\"\n\u001b[0;32m 36\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 37\u001b[1;33m \u001b[0mb\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mbuild\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 38\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mException\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 39\u001b[0m \u001b[0mlogging\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgetLogger\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m__name__\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexception\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Failure in build: {}\"\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mb\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - 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"\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\idaes\\models\\unit_models\\pressure_changer.py\u001b[0m in \u001b[0;36madd_isentropic\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 481\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mflowsheet\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 482\u001b[0m \u001b[0mdoc\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"isentropic properties at outlet\"\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 483\u001b[1;33m \u001b[0mdefault\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtmp_dict\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 484\u001b[0m )\n\u001b[0;32m 485\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36m__setattr__\u001b[1;34m(self, name, val)\u001b[0m\n\u001b[0;32m 542\u001b[0m \u001b[1;31m# Pyomo components are added with the add_component method.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 543\u001b[0m \u001b[1;31m#\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 544\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd_component\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mval\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 545\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 546\u001b[0m \u001b[1;31m#\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36madd_component\u001b[1;34m(self, name, val)\u001b[0m\n\u001b[0;32m 1087\u001b[0m _blockName, str(data))\n\u001b[0;32m 1088\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1089\u001b[1;33m \u001b[0mval\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconstruct\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1090\u001b[0m \u001b[1;32mexcept\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1091\u001b[0m \u001b[0merr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msys\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexc_info\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36mconstruct\u001b[1;34m(self, data)\u001b[0m\n\u001b[0;32m 1962\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0m_idx\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex_set\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1963\u001b[0m \u001b[1;31m# Trigger population & call the rule\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1964\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_when_not_present\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_idx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1965\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1966\u001b[0m \u001b[1;31m# We must check that any pre-existing components are\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36m_getitem_when_not_present\u001b[1;34m(self, idx)\u001b[0m\n\u001b[0;32m 1911\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1912\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1913\u001b[1;33m \u001b[0mobj\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_rule\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_block\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0midx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1914\u001b[0m \u001b[1;31m# If the user returns a block, transfer over everything\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1915\u001b[0m \u001b[1;31m# they defined into the empty one we created. We do\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\core\\base\\initializer.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, parent, idx)\u001b[0m\n\u001b[0;32m 251\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_fcn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mparent\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m*\u001b[0m\u001b[0midx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 252\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 253\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_fcn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mparent\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0midx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 254\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 255\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\idaes\\core\\base\\process_block.py\u001b[0m in \u001b[0;36m_rule_default\u001b[1;34m(b, *args)\u001b[0m\n\u001b[0;32m 35\u001b[0m \"\"\"\n\u001b[0;32m 36\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 37\u001b[1;33m \u001b[0mb\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mbuild\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 38\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mException\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 39\u001b[0m \u001b[0mlogging\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgetLogger\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m__name__\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexception\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Failure in build: {}\"\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mb\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\idaes\\models\\properties\\modular_properties\\base\\generic_property.py\u001b[0m in \u001b[0;36mbuild\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 1994\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1995\u001b[0m \u001b[1;31m# Add state variables and associated methods\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1996\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mparams\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconfig\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstate_definition\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdefine_state\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1997\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1998\u001b[0m \u001b[1;31m# Add equilibrium temperature variable if required\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\idaes\\models\\properties\\modular_properties\\state_definitions\\FTPx.py\u001b[0m in \u001b[0;36mdefine_state\u001b[1;34m(b)\u001b[0m\n\u001b[0;32m 65\u001b[0m \u001b[0mexpected_keys\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;34m\"flow_mol\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"temperature\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"pressure\"\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 66\u001b[0m if (\n\u001b[1;32m---> 67\u001b[1;33m \u001b[0mb\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mparams\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconfig\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstate_bounds\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 68\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0many\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mb\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mparams\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconfig\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstate_bounds\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mkeys\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mexpected_keys\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 69\u001b[0m ):\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\common\\config.py\u001b[0m in \u001b[0;36m__getattr__\u001b[1;34m(self, name)\u001b[0m\n\u001b[0;32m 2171\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0m_name\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_data\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2172\u001b[0m \u001b[1;32mraise\u001b[0m \u001b[0mAttributeError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Unknown attribute '%s'\"\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2173\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mConfigDict\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__getitem__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0m_name\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2174\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2175\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m__setattr__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\common\\config.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m 2103\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2104\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m__getitem__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2105\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_userAccessed\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2106\u001b[0m \u001b[0m_key\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mstr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreplace\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m' '\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'_'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2107\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_data\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0m_key\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mConfigValue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\pyomo\\common\\config.py\u001b[0m in \u001b[0;36m__setattr__\u001b[1;34m(self, name, value)\u001b[0m\n\u001b[0;32m 2175\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m__setattr__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2176\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mname\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mConfigDict\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_all_slots\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2177\u001b[1;33m \u001b[0msuper\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mConfigDict\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__setattr__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2178\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2179\u001b[0m \u001b[0mConfigDict\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__setitem__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mKeyboardInterrupt\u001b[0m: " + "[ 0.00] Processing input information.\n", + "[+ 0.00] Beginning the formulation of the multiperiod problem.\n", + "[+ 70.87] Completed the formulation of the multiperiod problem\n", + "2022-08-19 13:50:08 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-08-19 13:50:08 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:08 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:08 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-08-19 13:50:08 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:08 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-08-19 13:50:08 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:08 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:08 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-08-19 13:50:08 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:08 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:08 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:08 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-08-19 13:50:09 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:09 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-08-19 13:50:09 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:09 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:09 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:09 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-08-19 13:50:09 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:09 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-08-19 13:50:09 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:09 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-08-19 13:50:09 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:09 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:09 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-19 13:50:09 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-08-19 13:50:09 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-08-19 13:50:10 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:10 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-08-19 13:50:10 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:10 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:10 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-08-19 13:50:10 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:10 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:10 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-19 13:50:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-08-19 13:50:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "[+ 4.20] Created an instance of the flowsheet and initialized it.\n", + "[+ 8.99] Initialized the entire multiperiod optimization model.\n", + "[+ 0.19] Unfixed the degrees of freedom from each period model.\n" ] } ], @@ -497,7 +642,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "id": "optimum-closing", "metadata": {}, "outputs": [], @@ -579,7 +724,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "id": "cbf4c9c2", "metadata": {}, "outputs": [], @@ -593,7 +738,7 @@ "components={\n", " # Electrolyzer: negative Cash flows\n", " \"pem\":{ \n", - " \"Lifetime\": 15,\n", + " \"Lifetime\": 20,\n", " \"Capex\":{\n", " \"Expressions\": ['pem_capacity'],\n", " \"Value\": 1630, # $/kW\n", @@ -612,7 +757,7 @@ " },\n", " # Hydrogen Tank: negative Cash flows\n", " \"h2tank\":{\n", - " \"Lifetime\": 15,\n", + " \"Lifetime\": 5,\n", " \"Capex\":{\n", " \"Expressions\": ['tank_capacity'],\n", " \"Value\": 1.946, # $29/kWh * 33.3 kWh/kg * 2.013e-3 kg/mol\n", @@ -621,7 +766,7 @@ " },\n", " # Hydrogen Turbine: negative Cash flows\n", " \"h2turbine\":{ \n", - " \"Lifetime\": 15,\n", + " \"Lifetime\": 20,\n", " \"Capex\":{\n", " \"Expressions\": ['h2_turbine_capacity'],\n", " \"Value\": 0.947, # $/kW -> $/W\n", @@ -636,12 +781,12 @@ " \"Expressions\": ['fs.h2_turbine.turbine.work_mechanical',\n", " 'fs.h2_turbine.compressor.work_mechanical'],\n", " \"Value\": 4.25e-6, # $/MWh -> $/Wh\n", - " \"Multiplier\": [1, 1], # these values come out as negative in expression\n", + " \"Multiplier\": [1, 1], # these values come out with correct sign in expression\n", " },\n", " },\n", " # Electricity Market: positive Cash flows\n", " \"electricity_market\":{\n", - " \"Lifetime\": 15,\n", + " \"Lifetime\": 20,\n", " \"Hourly\":{\n", " \"Expressions\": ['fs.np_power_split.np_to_grid_port.electricity',\n", " 'fs.h2_turbine.turbine.work_mechanical',\n", @@ -652,7 +797,7 @@ " },\n", " # Hydrogen Market: positive Cash flows\n", " \"h2_market\":{\n", - " \"Lifetime\": 15,\n", + " \"Lifetime\": 20,\n", " \"Hourly\":{\n", " \"Expressions\": ['fs.h2_tank.outlet_to_pipeline.flow_mol'], # this is in mol/s\n", " \"Value\": 3.0, # this is $/kg\n", @@ -675,10 +820,18 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "id": "418b46b4", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['pem|Lifetime', 'pem|Capex', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Lifetime', 'h2tank|Capex', 'h2turbine|Lifetime', 'h2turbine|Capex', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Lifetime', 'electricity_market|Hourly', 'h2_market|Lifetime', 'h2_market|Hourly']\n" + ] + } + ], "source": [ "import numpy as np\n", "import operator\n", @@ -703,7 +856,7 @@ " 'tax': tax,\n", " 'inflation': infl,\n", " 'ProjectTime': life,\n", - " 'Indicator': {'name': ['NPV'],\n", + " 'Indicator': {'name': ['NPV'], # TODO: check IRR, PI\n", " 'active': active}\n", " }\n", " settings = CashFlows.GlobalSettings()\n", @@ -711,8 +864,11 @@ " settings._verbosity = 0\n", " return settings\n", "\n", + "\n", + "# using full plant life = 20 yrs\n", + "# LMP signal only uses 2 years... need to resolve when creating recurring cash flows\n", "tealSettings = build_econ_settings(components,\n", - " life=len(m.set_years),\n", + " life=m.plant_life,\n", " dr=m.discount_rate,\n", " tax=m.tax_rate)" ] @@ -727,12 +883,12 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "id": "0b30e827", "metadata": {}, "outputs": [], "source": [ - "def createCapex(comp, alpha, driver, life):\n", + "def createCapex(comp, alpha, driver):\n", " \"\"\"\n", " Constructs the parameters for capital expenditures\n", " @ In, comp, TEAL.src.CashFlows.Component, main structure to add component cash flows\n", @@ -743,6 +899,7 @@ " # extract alpha, driver as just one value\n", " cf = CashFlows.Capex()\n", " cf.name = 'Cap'\n", + " life = comp._lifetime\n", " cf.initParams(life)\n", " cfParams = {'name': 'Cap',\n", " 'alpha': alpha,\n", @@ -757,7 +914,7 @@ " return cf\n", "\n", "\n", - "def createRecurringYearly(comp, alpha, driver, life):\n", + "def createRecurringYearly(comp, alpha, driver, projLife):\n", " \"\"\"\n", " Constructs the parameters for capital expenditures\n", " @ In, comp, TEAL.src.CashFlows.Component, main structure to add component cash flows\n", @@ -771,9 +928,10 @@ " 'mult_target': None,\n", " 'inflation': False}\n", " cf.setParams(cfParams)\n", + "\n", " # 0 for first year (build year) -> TODO couldn't this be automatic?\n", - " alphas = np.ones(life+1, dtype=object) * alpha\n", - " drivers = np.ones(life+1, dtype=object) * driver\n", + " alphas = np.ones(projLife+1, dtype=object) * alpha\n", + " drivers = np.ones(projLife+1, dtype=object) * driver\n", " alphas[0] = 0\n", " drivers[0] = 0\n", " # construct annual summary cashflows\n", @@ -781,7 +939,7 @@ " return cf\n", "\n", "\n", - "def createRecurringHourly(comp, alpha, driver, life):\n", + "def createRecurringHourly(comp, alpha, driver, projLife):\n", " \"\"\"\n", " Constructs recurring cashflow with one value per hour\n", " @ In, dfSet, tuple, includes pandas.Dataframe, dict of inputs, and pyomo concrete model loaded\n", @@ -791,15 +949,15 @@ " @ In, alpha, string, variable name in df to take alpha from\n", " @ Out, comps, dict, dict mapping names to CashFlow component objects\n", " \"\"\"\n", - " print('DEBUGG cRH life:', comp.name, life)\n", + " print('DEBUGG cRH life:', comp.name, projLife)\n", " cf = CashFlows.Recurring()\n", " cfParams = {'name': 'Hourly',\n", " 'X': 1,\n", " 'mult_target': None,\n", " 'inflation': False}\n", " cf.setParams(cfParams)\n", - " cf.initParams(life, pyomoVar=True)\n", - " for year in range(life):\n", + " cf.initParams(projLife, pyomoVar=True)\n", + " for year in range(projLife):\n", " if isinstance(alpha, float):\n", " cf.computeIntrayearCashflow(year, alpha, driver[year, :])\n", " else:\n", @@ -809,7 +967,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "id": "2df7b4f5", "metadata": {}, "outputs": [], @@ -829,7 +987,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "id": "463cfe9b", "metadata": {}, "outputs": [], @@ -898,10 +1056,12 @@ " 'Life_time': comp['Lifetime']})\n", " cashFlows = []\n", "\n", + " ## check years vs projLife\n", + "\n", " for cfName, cfDict in comp.items():\n", " if cfName == 'Capex':\n", " alpha, driver = getCapexVarFromModel(comp, cfDict, mdl)\n", - " capex = createCapex(tealComp, alpha, driver, projLife)\n", + " capex = createCapex(tealComp, alpha, driver)\n", " cashFlows.append(capex)\n", "\n", " capex.setAmortization('MACRS', 3)\n", @@ -910,12 +1070,12 @@ " \n", " elif cfName == 'FixedOM':\n", " alpha, driver = getCapexVarFromModel(comp, cfDict, mdl)\n", - " fixedOM = createRecurringYearly(tealComp, alpha, driver, projLife)\n", + " fixedOM = createRecurringYearly(tealComp, alpha, driver)\n", " cashFlows.append(fixedOM)\n", " \n", " elif cfName == 'Hourly':\n", " alpha, driver = getDispatchVarFromModel(comp, cfDict, mdl)\n", - " hourly = createRecurringHourly(tealComp, alpha, driver, projLife)\n", + " hourly = createRecurringHourly(tealComp, alpha, driver)\n", " cashFlows.append(hourly)\n", " \n", "\n", @@ -926,7 +1086,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "id": "qualified-bargain", "metadata": {}, "outputs": [], @@ -1042,7 +1202,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "id": "republican-diagnosis", "metadata": {}, "outputs": [], @@ -1063,10 +1223,37 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "id": "c5844dcd", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [0. 0.3333 0.4445 0.1481 0.0741 0. 0. 0. 0. 0.\n", + " 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n", + " 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n", + " 0. 0. 0.]\n", + "DEBUGG cRH life: pem 20\n" + ] + }, + { + "ename": "IndexError", + "evalue": "index 2 is out of bounds for axis 0 with size 2", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mIndexError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m~\\AppData\\Local\\Temp\\1\\ipykernel_17080\\2710084785.py\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 6\u001b[0m \u001b[0mtealComponentList\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 7\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcomp\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mcomponents\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 8\u001b[1;33m \u001b[0mtealComp\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mbuildTealComponent\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcomp\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mm\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 9\u001b[0m \u001b[0mtealComponentList\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtealComp\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 10\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\AppData\\Local\\Temp\\1\\ipykernel_17080\\590899342.py\u001b[0m in \u001b[0;36mbuildTealComponent\u001b[1;34m(name, comp, mdl)\u001b[0m\n\u001b[0;32m 80\u001b[0m \u001b[1;32melif\u001b[0m \u001b[0mcfName\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m'Hourly'\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 81\u001b[0m \u001b[0malpha\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdriver\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mgetDispatchVarFromModel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcomp\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcfDict\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmdl\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 82\u001b[1;33m \u001b[0mhourly\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcreateRecurringHourly\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtealComp\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdriver\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 83\u001b[0m \u001b[0mcashFlows\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhourly\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 84\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\AppData\\Local\\Temp\\1\\ipykernel_17080\\3759155829.py\u001b[0m in \u001b[0;36mcreateRecurringHourly\u001b[1;34m(comp, alpha, driver)\u001b[0m\n\u001b[0;32m 71\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0myear\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlife\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 72\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0malpha\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfloat\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 73\u001b[1;33m \u001b[0mcf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcomputeIntrayearCashflow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0myear\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdriver\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0myear\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m:\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 74\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 75\u001b[0m \u001b[0mcf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcomputeIntrayearCashflow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0myear\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0myear\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m:\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdriver\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0myear\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m:\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mIndexError\u001b[0m: index 2 is out of bounds for axis 0 with size 2" + ] + } + ], "source": [ "# # Append cash flow expressions\n", "# append_costs_and_revenue(m,\n", From b2d9390896c58dba5b6575496cd190dba26fe10f Mon Sep 17 00:00:00 2001 From: "Gabriel J. Soto" Date: Mon, 22 Aug 2022 15:14:34 -0600 Subject: [PATCH 03/29] results via TEAL NPV generation match DISPATCHESresults --- .../multiperiod_design_pricetaker_wTEAL.ipynb | 2312 +++++++++++++++-- 1 file changed, 2132 insertions(+), 180 deletions(-) diff --git a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb index 9cd0fc842..e7febc7ae 100644 --- a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb +++ b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb @@ -44,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 289, "id": "automated-antigua", "metadata": {}, "outputs": [], @@ -89,7 +89,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 290, "id": "e3e331c5", "metadata": {}, "outputs": [], @@ -142,7 +142,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 291, "id": "annoying-myrtle", "metadata": { "scrolled": false @@ -152,58 +152,58 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-08-19 13:48:52 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-08-19 13:48:52 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:52 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:52 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-08-19 13:48:53 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:53 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-08-19 13:48:53 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:53 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:53 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-08-19 13:48:53 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:53 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:53 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:53 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-08-19 13:48:53 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:53 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-08-19 13:48:53 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:53 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:53 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:53 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-08-19 13:48:54 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:54 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-08-19 13:48:54 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:54 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-08-19 13:48:54 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:54 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:54 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-19 13:48:54 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-08-19 13:48:54 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-08-19 13:48:54 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:54 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-08-19 13:48:54 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:54 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:54 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-08-19 13:48:55 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:55 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:55 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-19 13:48:55 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-08-19 13:48:55 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:55 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-08-19 13:48:55 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:55 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-08-19 13:48:55 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-19 13:48:55 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-08-19 13:48:55 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:55 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-08-19 13:48:56 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:56 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:56 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-08-19 13:48:56 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:56 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:48:56 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-19 13:48:56 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "2022-08-22 14:24:11 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-08-22 14:24:11 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:11 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:11 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-08-22 14:24:11 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:11 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-08-22 14:24:11 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:11 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:11 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-08-22 14:24:11 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:11 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:12 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:12 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-08-22 14:24:12 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:12 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-08-22 14:24:12 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:12 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:12 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:12 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-08-22 14:24:12 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:12 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-08-22 14:24:12 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:12 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-08-22 14:24:12 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:12 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:13 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-22 14:24:13 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-08-22 14:24:13 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-08-22 14:24:13 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:13 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-08-22 14:24:13 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:13 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:13 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-08-22 14:24:13 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:13 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:13 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-22 14:24:13 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:24:15 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-22 14:24:15 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", "Degrees of freedom: 0\n", "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", "tol=1e-06\n", @@ -253,7 +253,7 @@ "Number of equality constraint Jacobian evaluations = 2\n", "Number of inequality constraint Jacobian evaluations = 0\n", "Number of Lagrangian Hessian evaluations = 1\n", - "Total seconds in IPOPT = 0.007\n", + "Total seconds in IPOPT = 0.017\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -261,10 +261,10 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.09967422485351562}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.21031641960144043}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, - "execution_count": 3, + "execution_count": 291, "metadata": {}, "output_type": "execute_result" } @@ -300,7 +300,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 292, "id": "animal-astronomy", "metadata": {}, "outputs": [ @@ -375,7 +375,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 293, "id": "guilty-appliance", "metadata": {}, "outputs": [], @@ -405,7 +405,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 294, "id": "involved-skill", "metadata": {}, "outputs": [], @@ -419,12 +419,12 @@ "lmp_deterministic = {year: {cluster: {hour: lmp_dataset[\"0\"][str(year)][str(cluster)][str(hour)]\n", " for hour in range(1, 25)} \n", " for cluster in range(1, 21)}\n", - " for year in [2022]}\n", + " for year in [2022, 2032]}\n", "\n", "# Size of each cluster/number of days in a year represented by the cluster\n", "weights_days = {year: {cluster: lmp_dataset[str(0)][str(year)][str(cluster)][\"num_days\"]\n", " for cluster in range(1, 21)}\n", - " for year in [2022]}\n" + " for year in [2022, 2032]}\n" ] }, { @@ -448,7 +448,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 295, "id": "driven-allah", "metadata": {}, "outputs": [], @@ -459,7 +459,7 @@ "# Define sets\n", "m.set_time = RangeSet(24) # twenty fours in a day\n", "m.set_days = RangeSet(20) # twenty clusters/days per year\n", - "m.set_years = [2022] # Set of years\n", + "m.set_years = [2022, 2032] # Set of years\n", "\n", "# Define parameters\n", "m.plant_life = 20 # Plant lifetime: 20 years\n", @@ -471,6 +471,108 @@ "m.weights_days = weights_days # number of days represented by each cluster" ] }, + { + "cell_type": "markdown", + "id": "167b5f29", + "metadata": {}, + "source": [ + "This might be a temporary cell, but checking to see if the amount of years supplied by the LMP data match the desired project length/plant life.\n", + "In the future, project length and plant lifetime should be separate entities. \n", + "Should also figure out multiplicity (least common multiple) of plant lives. " + ] + }, + { + "cell_type": "code", + "execution_count": 296, + "id": "1cf94ff3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "LMP Data less than project life\n" + ] + } + ], + "source": [ + "# checking if number of years provided in data match plant_life\n", + "import numpy as np\n", + "\n", + "# list of available years in LMP data\n", + "years = list( m.LMP.keys() )\n", + "n_years_data = len(years)\n", + "\n", + "# template dictionary full of 0s, same structure as LMP\n", + "zeroDict = {cluster: {hour: 0\n", + " for hour in m.set_time} \n", + " for cluster in m.set_days}\n", + "\n", + "## CHECKING THAT WE HAVE ENOUGH DATA FOR SIM ##\n", + "# Case where we have less data than the project life/sim time\n", + "# Here, we assume (as in the default nuclear case demo) that\n", + "# the years 2022-2031 all have the same LMP data, which\n", + "# helps to cut down on variables just for the demonstration\n", + "if n_years_data < m.plant_life:\n", + " print(\"LMP Data less than project life\")\n", + " projLifeRange = np.arange( years[0]-1, # year-1 is the construction year\n", + " years[0] + m.plant_life) # full project time with first year of data as starting point\n", + "\n", + " # initializing empty dicts and lists\n", + " newLMP = {} # going to replace existing LMP dictionary\n", + " newYearsVec = [] # list of years used\n", + " stuckYear = 0 # ugly way of duplicating years\n", + "\n", + " # looping through possible years in lifetime (e.g., 2021 -> 2041)\n", + " for i,y in enumerate(projLifeRange):\n", + " # data not available for given year within project lifetime\n", + " if y not in years:\n", + " if i == 0: # construction year\n", + " newLMP[y] = zeroDict\n", + " newYearsVec.append(0)\n", + " else: # duplicate previous year's values\n", + " newLMP[y] = newLMP[y-1]\n", + " newYearsVec.append(stuckYear)\n", + " # data for current year is available in LMP dict\n", + " else:\n", + " stuckYear = y # update year for duplication (word?)\n", + " newLMP[y] = m.LMP[y] # keep current LMP value\n", + " newYearsVec.append(y) # update current year\n", + " \n", + " # save to model object\n", + " m.LMP = newLMP\n", + " m.yearsFullVec = newYearsVec\n", + "\n", + "elif n_years_data > m.plant_life:\n", + " print(\"LMP Data more than project life, must curtail.\")\n", + " # TODO fill this out\n", + "else:\n", + " print(\"LMP Data matches project life\")\n", + " # TODO fill this out\n", + " # years.insert(0,0)" + ] + }, + { + "cell_type": "code", + "execution_count": 297, + "id": "b6a8297c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "10" + ] + }, + "execution_count": 297, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sum(w == 2032 for w in m.yearsFullVec)\n" + ] + }, { "cell_type": "markdown", "id": "august-rings", @@ -488,7 +590,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 298, "id": "senior-multimedia", "metadata": {}, "outputs": [], @@ -545,7 +647,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 299, "id": "democratic-aurora", "metadata": {}, "outputs": [ @@ -555,62 +657,62 @@ "text": [ "[ 0.00] Processing input information.\n", "[+ 0.00] Beginning the formulation of the multiperiod problem.\n", - "[+ 70.87] Completed the formulation of the multiperiod problem\n", - "2022-08-19 13:50:08 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-08-19 13:50:08 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:08 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:08 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-08-19 13:50:08 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:08 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-08-19 13:50:08 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:08 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:08 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-08-19 13:50:08 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:08 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:08 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:08 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-08-19 13:50:09 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:09 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-08-19 13:50:09 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:09 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:09 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:09 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-08-19 13:50:09 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:09 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-08-19 13:50:09 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:09 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-08-19 13:50:09 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:09 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:09 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-19 13:50:09 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-08-19 13:50:09 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-08-19 13:50:10 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:10 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-08-19 13:50:10 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:10 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:10 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-08-19 13:50:10 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:10 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:10 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-19 13:50:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-08-19 13:50:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-19 13:50:11 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", - "[+ 4.20] Created an instance of the flowsheet and initialized it.\n", - "[+ 8.99] Initialized the entire multiperiod optimization model.\n", - "[+ 0.19] Unfixed the degrees of freedom from each period model.\n" + "[+ 353.65] Completed the formulation of the multiperiod problem\n", + "2022-08-22 14:30:11 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-08-22 14:30:12 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:12 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:12 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-08-22 14:30:12 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:12 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-08-22 14:30:12 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:12 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:12 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-08-22 14:30:12 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:12 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:12 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:12 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-08-22 14:30:13 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:13 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-08-22 14:30:13 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:13 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:13 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:13 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-08-22 14:30:13 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:13 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-08-22 14:30:13 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:13 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-08-22 14:30:13 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:13 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:14 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-22 14:30:14 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-08-22 14:30:14 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-08-22 14:30:14 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:14 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-08-22 14:30:14 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:14 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:14 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-08-22 14:30:14 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:14 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:14 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-22 14:30:14 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-08-22 14:30:15 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:15 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-08-22 14:30:15 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:15 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-08-22 14:30:15 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-22 14:30:15 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-08-22 14:30:15 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:15 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-08-22 14:30:15 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:15 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:15 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-08-22 14:30:16 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:16 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 14:30:16 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-22 14:30:16 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "[+ 6.77] Created an instance of the flowsheet and initialized it.\n", + "[+ 36.88] Initialized the entire multiperiod optimization model.\n", + "[+ 0.83] Unfixed the degrees of freedom from each period model.\n" ] } ], @@ -642,7 +744,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 300, "id": "optimum-closing", "metadata": {}, "outputs": [], @@ -719,22 +821,30 @@ "id": "01055db2", "metadata": {}, "source": [ - "### TEAL: Defining component costs/revenues and corresponding IDAES variables " + "### TEAL: Defining component costs/revenues and corresponding IDAES variables \n", + "\n", + "We now add a template dictionary with all the Nuclear Case components. \n", + "Each plant component has nested dictionaries for each desired TEAL cash flow. \n", + "Note that all cash flows are defined as:\n", + " $$C_y = m \\alpha_y \\bigg(\\frac{D_y}{R}\\bigg)^X$$\n", + "The cash flow $C_y$ is indexed by year, but hourly indeces can also be created and summed per year. Other parameters include $\\alpha$, the reference price, $D_y$ the driver for the cash flow (e.g., number of units sold, hours of electricity produced, etc.), $R$ the reference driver corresponding to $\\alpha$ (optional), $X$ the scaling factor, and $m$ an extra multiplier.\n", + "\n", + "\n", + "The cash flow dictionaries below must have:\n", + "1. an **Expression**: a list of strings of the Pyomo variable name used as the cash flow driver ($D_y$)\n", + "2. a **Value**: the cost per unit ($\\alpha$)\n", + "3. a **Multiplier**: an extra multiplier to distinguish between +/- cash flows ($m$)\n", + "\n", + "Each component must also have a Lifetime but all currently set to be the same. " ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 301, "id": "cbf4c9c2", "metadata": {}, "outputs": [], "source": [ - "# NOTE: Each cash flow per component must have:\n", - "# 1) Expression: pointing to the corresponding DISPATCHES Pyomo variable\n", - "# 2) Value: the cost per unit\n", - "# 3) Multiplier: any extra multiplier (currently using this to distinguish +/- cash flows)\n", - "# Each component must also have a Lifetime but all currently set to be the same\n", - "\n", "components={\n", " # Electrolyzer: negative Cash flows\n", " \"pem\":{ \n", @@ -757,7 +867,7 @@ " },\n", " # Hydrogen Tank: negative Cash flows\n", " \"h2tank\":{\n", - " \"Lifetime\": 5,\n", + " \"Lifetime\": 20,\n", " \"Capex\":{\n", " \"Expressions\": ['tank_capacity'],\n", " \"Value\": 1.946, # $29/kWh * 33.3 kWh/kg * 2.013e-3 kg/mol\n", @@ -820,7 +930,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 302, "id": "418b46b4", "metadata": {}, "outputs": [ @@ -883,12 +993,12 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 303, "id": "0b30e827", "metadata": {}, "outputs": [], "source": [ - "def createCapex(comp, alpha, driver):\n", + "def createCapex(comp, alpha, driver, life):\n", " \"\"\"\n", " Constructs the parameters for capital expenditures\n", " @ In, comp, TEAL.src.CashFlows.Component, main structure to add component cash flows\n", @@ -899,7 +1009,7 @@ " # extract alpha, driver as just one value\n", " cf = CashFlows.Capex()\n", " cf.name = 'Cap'\n", - " life = comp._lifetime\n", + " # life = comp._lifetime\n", " cf.initParams(life)\n", " cfParams = {'name': 'Cap',\n", " 'alpha': alpha,\n", @@ -909,12 +1019,12 @@ " 'depreciate': 1,\n", " 'mult_target': None,\n", " 'inflation': False,\n", - " }\n", + " }\n", " cf.setParams(cfParams)\n", " return cf\n", "\n", "\n", - "def createRecurringYearly(comp, alpha, driver, projLife):\n", + "def createRecurringYearly(comp, alpha, driver, lifeVector):\n", " \"\"\"\n", " Constructs the parameters for capital expenditures\n", " @ In, comp, TEAL.src.CashFlows.Component, main structure to add component cash flows\n", @@ -929,11 +1039,14 @@ " 'inflation': False}\n", " cf.setParams(cfParams)\n", "\n", + " # convert to binary mask, includes a zero for year 0 (construction)\n", + " projYears = np.array([y>1 for y in lifeVector], dtype=int)\n", + " projYears = projYears.astype(object)\n", + "\n", " # 0 for first year (build year) -> TODO couldn't this be automatic?\n", - " alphas = np.ones(projLife+1, dtype=object) * alpha\n", - " drivers = np.ones(projLife+1, dtype=object) * driver\n", - " alphas[0] = 0\n", - " drivers[0] = 0\n", + " alphas = projYears * alpha\n", + " drivers = projYears * driver\n", + "\n", " # construct annual summary cashflows\n", " cf.computeYearlyCashflow(alphas, drivers)\n", " return cf\n", @@ -949,6 +1062,7 @@ " @ In, alpha, string, variable name in df to take alpha from\n", " @ Out, comps, dict, dict mapping names to CashFlow component objects\n", " \"\"\"\n", + " projLife += 1\n", " print('DEBUGG cRH life:', comp.name, projLife)\n", " cf = CashFlows.Recurring()\n", " cfParams = {'name': 'Hourly',\n", @@ -967,7 +1081,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 304, "id": "2df7b4f5", "metadata": {}, "outputs": [], @@ -987,7 +1101,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 305, "id": "463cfe9b", "metadata": {}, "outputs": [], @@ -1002,9 +1116,13 @@ " n_hours = len(mdl.set_time)\n", " n_days = len(mdl.set_days)\n", " n_years = len(mdl.set_years)\n", + " n_projLife = mdl.plant_life + 1\n", + "\n", + " yearsMaskArray = mdl.yearsFullVec # looks like [0, 2022, 2022, 2022, 2022, ... 2032, ... ]\n", + " \n", " n_hours_per_year = n_hours * n_days # sometimes number of days refers to clusters < 365\n", "\n", - " dispatch_array = np.zeros((n_years+1, n_hours_per_year), dtype=object)\n", + " dispatch_array = np.zeros((n_projLife, n_hours_per_year), dtype=object)\n", "\n", " indeces = np.array([tuple(i) for i in mdl.period_index], dtype=\"i,i,i\")\n", " time_shape = (n_years, n_hours_per_year) # reshaping the tuples array to match HERON dispatch\n", @@ -1015,24 +1133,29 @@ " if alpha == []:\n", " signal = mdl.LMP\n", "\n", - " # plus 1 to year term to allow for 0 recurring costs during build year\n", - " alpha = np.zeros([n_years+1, n_hours_per_year])\n", + " # # plus 1 to year term to allow for 0 recurring costs during build year\n", + " # alpha = np.zeros([n_projLife, n_hours_per_year])\n", " # it necessary to have alpha be [year, clusterhour] instead of [year, cluster, hour]\n", " # clusterhour loops through hours first, then cluster\n", - " realized_alpha = [[signal[y][d][h] \\\n", - " for d in mdl.set_days\n", - " for h in mdl.set_time] # order here matches *indeces*\n", - " for y in mdl.set_years] #shape here is [year, hour]\n", - " # first column of year axis is 0 for project year 0\n", - " alpha[1:,:] = realized_alpha\n", + " alpha = [[signal[y][d][h] \\\n", + " for d in mdl.set_days\n", + " for h in mdl.set_time] # order here matches *indeces*\n", + " for y in mdl.LMP.keys()] #shape here is [year, hour]\n", + " # # first column of year axis is 0 for project year 0\n", + " alpha = np.array(alpha)\n", + " # alpha[1:,:] = realized_alpha\n", "\n", " # TODO: check that all periods and LMPs match up...\n", - " for pyear in range(n_years+1):\n", + " pcount = -1\n", + " for p, pyear in enumerate(yearsMaskArray):\n", " if pyear == 0:\n", " continue\n", "\n", + " if pyear > yearsMaskArray[p-1]:\n", + " pcount +=1\n", + "\n", " for time in range(n_hours_per_year):\n", - " ind = tuple(indeces[pyear-1,time])\n", + " ind = tuple(indeces[pcount,time])\n", " # looping through all DISPATCHES variables pertaining to this specific dispatch\n", " # e.g., turbine costs due to work done by turbine + compressor, separate variables\n", " dispatch_driver = 0\n", @@ -1044,7 +1167,7 @@ " weight = mdl.weights_days[yr][dy] # extracting weight for year + day\n", "\n", " # storing individual Pyomo dispatch\n", - " dispatch_array[pyear, time] = dispatch_driver * weight\n", + " dispatch_array[p, time] = dispatch_driver * weight\n", "\n", " return alpha, dispatch_array\n", "\n", @@ -1061,7 +1184,7 @@ " for cfName, cfDict in comp.items():\n", " if cfName == 'Capex':\n", " alpha, driver = getCapexVarFromModel(comp, cfDict, mdl)\n", - " capex = createCapex(tealComp, alpha, driver)\n", + " capex = createCapex(tealComp, alpha, driver, m.plant_life)\n", " cashFlows.append(capex)\n", "\n", " capex.setAmortization('MACRS', 3)\n", @@ -1070,12 +1193,12 @@ " \n", " elif cfName == 'FixedOM':\n", " alpha, driver = getCapexVarFromModel(comp, cfDict, mdl)\n", - " fixedOM = createRecurringYearly(tealComp, alpha, driver)\n", + " fixedOM = createRecurringYearly(tealComp, alpha, driver, mdl.yearsFullVec)\n", " cashFlows.append(fixedOM)\n", " \n", " elif cfName == 'Hourly':\n", " alpha, driver = getDispatchVarFromModel(comp, cfDict, mdl)\n", - " hourly = createRecurringHourly(tealComp, alpha, driver)\n", + " hourly = createRecurringHourly(tealComp, alpha, driver, m.plant_life)\n", " cashFlows.append(hourly)\n", " \n", "\n", @@ -1086,7 +1209,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 306, "id": "qualified-bargain", "metadata": {}, "outputs": [], @@ -1202,7 +1325,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 307, "id": "republican-diagnosis", "metadata": {}, "outputs": [], @@ -1223,7 +1346,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 308, "id": "c5844dcd", "metadata": {}, "outputs": [ @@ -1237,20 +1360,906 @@ " 0. ]\n", "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n", " 0. 0. 0.]\n", - "DEBUGG cRH life: pem 20\n" - ] - }, - { - "ename": "IndexError", - "evalue": "index 2 is out of bounds for axis 0 with size 2", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mIndexError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m~\\AppData\\Local\\Temp\\1\\ipykernel_17080\\2710084785.py\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 6\u001b[0m \u001b[0mtealComponentList\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 7\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcomp\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mcomponents\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 8\u001b[1;33m \u001b[0mtealComp\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mbuildTealComponent\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcomp\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mm\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 9\u001b[0m \u001b[0mtealComponentList\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtealComp\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 10\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32m~\\AppData\\Local\\Temp\\1\\ipykernel_17080\\590899342.py\u001b[0m in \u001b[0;36mbuildTealComponent\u001b[1;34m(name, comp, mdl)\u001b[0m\n\u001b[0;32m 80\u001b[0m \u001b[1;32melif\u001b[0m \u001b[0mcfName\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m'Hourly'\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 81\u001b[0m \u001b[0malpha\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdriver\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mgetDispatchVarFromModel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcomp\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcfDict\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmdl\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 82\u001b[1;33m \u001b[0mhourly\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcreateRecurringHourly\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtealComp\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdriver\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 83\u001b[0m \u001b[0mcashFlows\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhourly\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 84\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32m~\\AppData\\Local\\Temp\\1\\ipykernel_17080\\3759155829.py\u001b[0m in \u001b[0;36mcreateRecurringHourly\u001b[1;34m(comp, alpha, driver)\u001b[0m\n\u001b[0;32m 71\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0myear\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlife\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 72\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0malpha\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfloat\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 73\u001b[1;33m \u001b[0mcf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcomputeIntrayearCashflow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0myear\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdriver\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0myear\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m:\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 74\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 75\u001b[0m \u001b[0mcf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcomputeIntrayearCashflow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0myear\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0myear\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m:\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdriver\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0myear\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m:\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mIndexError\u001b[0m: index 2 is out of bounds for axis 0 with size 2" + "DEBUGG cRH life: pem 21\n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [0. 0.3333 0.4445 0.1481 0.0741 0. 0. 0. 0. 0.\n", + " 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n", + " 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n", + " 0. 0. 0.]\n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [0. 0.3333 0.4445 0.1481 0.0741 0. 0. 0. 0. 0.\n", + " 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n", + " 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n", + " 0. 0. 0.]\n", + "DEBUGG cRH life: h2turbine 21\n", + "DEBUGG cRH life: electricity_market 21\n", + "DEBUGG cRH life: h2_market 21\n", + "CashFlow INFO (run): Starting CashFlow Run ...\n", + "CashFlow INFO (run): ... Checking if all drivers present ...\n", + "CashFlow INFO (checkDrivers): ... creating evaluation sequence ...\n", + "CashFlow INFO (checkDrivers): ... evaluation sequence: ['pem|Cap', 'pem|pem_amortize_Cap', 'pem|pem_depreciate_Cap', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Cap', 'h2tank|h2tank_amortize_Cap', 'h2tank|h2tank_depreciate_Cap', 'h2turbine|Cap', 'h2turbine|h2turbine_amortize_Cap', 'h2turbine|h2turbine_depreciate_Cap', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Hourly', 'h2_market|Hourly']\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2tank \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2tank \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2tank \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: electricity_market \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2_market \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Project Lifetime Cashflow Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): ... project length: 21 years\n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"pem\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): 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rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: 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comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow 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Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"FixedOM\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", 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Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"electricity_market\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2_market\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2_market\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Economic Indicator Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (FCFF): FCFF yearly (not discounted):\n", + "CashFlow INFO (FCFF): year, FCFF\n", + "CashFlow INFO (FCFF): 0: \n", + "CashFlow INFO (FCFF): 1: \n", + "CashFlow INFO (FCFF): 2: \n", + "CashFlow INFO (FCFF): 3: \n", + "CashFlow INFO (FCFF): 4: \n", + "CashFlow INFO (FCFF): 5: \n", + "CashFlow INFO (FCFF): 6: \n", + "CashFlow INFO (FCFF): 7: \n", + "CashFlow INFO (FCFF): 8: \n", + "CashFlow INFO (FCFF): 9: \n", + "CashFlow INFO (FCFF): 10: \n", + "CashFlow INFO (FCFF): 11: \n", + "CashFlow INFO (FCFF): 12: \n", + "CashFlow INFO (FCFF): 13: \n", + "CashFlow INFO (FCFF): 14: \n", + "CashFlow INFO (FCFF): 15: \n", + "CashFlow INFO (FCFF): 16: \n", + "CashFlow INFO (FCFF): 17: \n", + "CashFlow INFO (FCFF): 18: \n", + "CashFlow INFO (FCFF): 19: \n", + "CashFlow INFO (FCFF): 20: \n", + "CashFlow INFO (NPV): ... NPV: \n" ] } ], @@ -1270,7 +2279,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 309, "id": "71991e45", "metadata": {}, "outputs": [], @@ -1283,10 +2292,953 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 310, "id": "d7355a37", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CashFlow INFO (run): Starting CashFlow Run ...\n", + "CashFlow INFO (run): ... Checking if all drivers present ...\n", + "CashFlow INFO (checkDrivers): ... creating evaluation sequence ...\n", + "CashFlow INFO (checkDrivers): ... evaluation sequence: ['pem|Cap', 'pem|pem_amortize_Cap', 'pem|pem_depreciate_Cap', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Cap', 'h2tank|h2tank_amortize_Cap', 'h2tank|h2tank_depreciate_Cap', 'h2turbine|Cap', 'h2turbine|h2turbine_amortize_Cap', 'h2turbine|h2turbine_depreciate_Cap', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Hourly', 'h2_market|Hourly']\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2tank \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2tank \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2tank \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: electricity_market \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2_market \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Project Lifetime Cashflow Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): ... project length: 21 years\n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"pem\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_depreciate_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"FixedOM\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2tank\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_depreciate_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2turbine\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2turbine_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2turbine_depreciate_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"FixedOM\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"electricity_market\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"electricity_market\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2_market\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2_market\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Economic Indicator Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (FCFF): FCFF yearly (not discounted):\n", + "CashFlow INFO (FCFF): year, FCFF\n", + "CashFlow INFO (FCFF): 0: \n", + "CashFlow INFO (FCFF): 1: \n", + "CashFlow INFO (FCFF): 2: \n", + "CashFlow INFO (FCFF): 3: \n", + "CashFlow INFO (FCFF): 4: \n", + "CashFlow INFO (FCFF): 5: \n", + "CashFlow INFO (FCFF): 6: \n", + "CashFlow INFO (FCFF): 7: \n", + "CashFlow INFO (FCFF): 8: \n", + "CashFlow INFO (FCFF): 9: \n", + "CashFlow INFO (FCFF): 10: \n", + "CashFlow INFO (FCFF): 11: \n", + "CashFlow INFO (FCFF): 12: \n", + "CashFlow INFO (FCFF): 13: \n", + "CashFlow INFO (FCFF): 14: \n", + "CashFlow INFO (FCFF): 15: \n", + "CashFlow INFO (FCFF): 16: \n", + "CashFlow INFO (FCFF): 17: \n", + "CashFlow INFO (FCFF): 18: \n", + "CashFlow INFO (FCFF): 19: \n", + "CashFlow INFO (FCFF): 20: \n", + "CashFlow INFO (NPV): ... NPV: \n", + "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", + "tol=1e-06\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.14.7, running with linear solver MUMPS 5.5.0.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 580760\n", + "Number of nonzeros in inequality constraint Jacobian.: 7680\n", + "Number of nonzeros in Lagrangian Hessian.............: 195840\n", + "\n", + "Total number of variables............................: 211203\n", + " variables with only lower bounds: 20163\n", + " variables with lower and upper bounds: 176640\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 208320\n", + "Total number of inequality constraints...............: 3840\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 3840\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -1.1949636e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -1.4616018e+09 1.91e+05 2.08e+04 -1.0 2.80e+06 - 8.10e-04 8.91e-01f 1\n", + " 2 -1.4977726e+09 7.77e+03 1.27e+04 -1.0 5.00e+05 - 1.82e-03 9.90e-01f 1\n", + " 3 -1.4982406e+09 2.28e+02 6.53e+03 -1.0 9.98e+03 - 2.59e-01 9.71e-01h 1\n", + " 4 -1.4982550e+09 1.30e+02 8.86e+04 -1.0 1.98e+02 - 1.44e-01 4.23e-01h 1\n", + " 5 -1.4982650e+09 9.94e+01 1.20e+05 -1.0 7.28e+02 - 2.34e-01 3.58e-01f 1\n", + " 6 -1.4983004e+09 1.09e+00 6.40e+05 -1.0 1.87e+02 - 1.67e-01 1.00e+00f 1\n", + " 7 -1.4983388e+09 4.00e-01 3.07e+06 -1.0 1.90e+02 - 6.83e-01 1.00e+00f 1\n", + " 8 -1.4984641e+09 1.24e+00 1.03e+06 -1.0 1.14e+03 - 6.64e-01 1.00e+00f 1\n", + " 9 -1.4985511e+09 1.90e+02 1.28e+06 -1.0 5.49e+04 - 3.03e-02 4.43e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -1.4985585e+09 1.36e+00 8.84e+05 -1.0 1.83e+02 -4.0 1.17e-01 1.00e+00f 1\n", + " 11 -1.4985842e+09 2.01e+00 4.31e+05 -1.0 6.68e+01 -4.5 5.12e-01 1.00e+00f 1\n", + " 12 -1.4997717e+09 3.72e+01 4.26e+05 -1.0 5.68e+03 - 1.32e-02 1.00e+00f 1\n", + " 13 -1.4998507e+09 1.11e-02 2.61e+05 -1.0 4.28e+02 -5.0 3.88e-01 1.00e+00f 1\n", + " 14 -1.5022064e+09 9.78e-03 2.55e+05 -1.0 1.80e+04 - 2.19e-02 7.57e-01f 1\n", + " 15 -1.5063746e+09 1.12e-03 2.28e+05 -1.0 2.10e+04 - 1.05e-01 8.08e-01f 1\n", + " 16 -1.5164377e+09 4.30e-04 2.04e+05 -1.0 3.74e+04 - 1.06e-01 9.59e-01f 1\n", + " 17 -1.5164771e+09 3.62e-07 1.13e+05 -1.0 1.28e+02 -4.5 4.46e-01 1.00e+00f 1\n", + " 18 -1.5537867e+09 8.89e-03 1.06e+05 -1.0 1.44e+05 - 6.24e-02 8.09e-01f 1\n", + " 19 -1.5538313e+09 1.72e-04 6.22e+04 -1.0 1.26e+02 -4.6 4.13e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 -1.5733025e+09 5.33e-04 5.97e+04 -1.0 6.63e+05 - 4.01e-02 8.36e-02f 1\n", + " 21 -1.5734977e+09 5.42e-04 5.53e+04 -1.0 3.71e+05 - 7.43e-02 1.68e-03f 1\n", + " 22 -1.5734996e+09 4.93e-04 8.22e+02 -1.0 8.03e+01 -4.6 9.90e-01 9.03e-02f 1\n" + ] + } + ], "source": [ "# Append cash flow expressions\n", "# append_costs_and_revenue(m,\n", From abd1a376d2716ea82ec22c9cf78d5f936363c112 Mon Sep 17 00:00:00 2001 From: "Gabriel J. Soto" Date: Tue, 23 Aug 2022 12:47:50 -0600 Subject: [PATCH 04/29] TEAL NPV results match original notebook. Original notebook H2 mole frac conversion fixed --- .../multiperiod_design_pricetaker.ipynb | 884 ++++---- .../multiperiod_design_pricetaker_wTEAL.ipynb | 1773 +++++++++++------ 2 files changed, 1619 insertions(+), 1038 deletions(-) diff --git a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker.ipynb b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker.ipynb index 4aaba07b3..6150ff7b9 100644 --- a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker.ipynb +++ b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker.ipynb @@ -121,82 +121,70 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-07-01 17:07:21 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:21 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-07-01 17:07:22 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-07-01 17:07:22 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-07-01 17:07:22 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:22 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-07-01 17:07:22 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:22 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:22 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-07-01 17:07:22 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:22 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:07:22 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-07-01 17:07:22 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "2022-08-22 06:15:49 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-08-22 06:15:49 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:49 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:49 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-08-22 06:15:49 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:49 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-08-22 06:15:49 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:49 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:49 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-08-22 06:15:49 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:49 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:49 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:49 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-08-22 06:15:49 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:49 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-08-22 06:15:50 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:50 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:50 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:50 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-08-22 06:15:50 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:50 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-08-22 06:15:50 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:50 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-08-22 06:15:50 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:50 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:50 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-22 06:15:50 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-08-22 06:15:50 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-08-22 06:15:50 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:50 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-08-22 06:15:51 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:51 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:51 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-08-22 06:15:51 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:51 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:51 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-22 06:15:51 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-08-22 06:15:51 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:51 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-08-22 06:15:51 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:51 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-08-22 06:15:52 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-22 06:15:52 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-08-22 06:15:52 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:52 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-08-22 06:15:52 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:52 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:52 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-08-22 06:15:52 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:52 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:15:52 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-22 06:15:52 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", "Degrees of freedom: 0\n", - "Ipopt 3.13.2: nlp_scaling_method=gradient-based\n", + "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", "tol=1e-06\n", "\n", "\n", "******************************************************************************\n", "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit http://projects.coin-or.org/Ipopt\n", - "\n", - "This version of Ipopt was compiled from source code available at\n", - " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", - " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", - " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", - "\n", - "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", - " for large-scale scientific computation. All technical papers, sales and\n", - " publicity material resulting from use of the HSL codes within IPOPT must\n", - " contain the following acknowledgement:\n", - " HSL, a collection of Fortran codes for large-scale scientific\n", - " computation. See http://www.hsl.rl.ac.uk.\n", + " For more information visit https://github.com/coin-or/Ipopt\n", "******************************************************************************\n", "\n", - "This is Ipopt version 3.13.2, running with linear solver ma27.\n", + "This is Ipopt version 3.14.7, running with linear solver MUMPS 5.5.0.\n", "\n", "Number of nonzeros in equality constraint Jacobian...: 593\n", "Number of nonzeros in inequality constraint Jacobian.: 0\n", @@ -214,16 +202,17 @@ "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", " 0 0.0000000e+00 5.55e+04 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 0.0000000e+00 3.49e-08 8.83e+00 -1.0 4.05e+02 - 1.96e-01 1.00e+00h 1\n", + " 1 0.0000000e+00 3.49e-08 2.36e-01 -1.0 9.80e-03 - 9.90e-01 1.00e+00h 1\n", "\n", "Number of Iterations....: 1\n", "\n", " (scaled) (unscaled)\n", "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 4.6566128730773926e-10 3.4924596548080444e-08\n", + "Constraint violation....: 2.3283064365386963e-10 3.4924596548080444e-08\n", + "Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00\n", "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 4.6566128730773926e-10 3.4924596548080444e-08\n", + "Overall NLP error.......: 2.3283064365386963e-10 3.4924596548080444e-08\n", "\n", "\n", "Number of objective function evaluations = 2\n", @@ -233,8 +222,7 @@ "Number of equality constraint Jacobian evaluations = 2\n", "Number of inequality constraint Jacobian evaluations = 0\n", "Number of Lagrangian Hessian evaluations = 1\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.002\n", - "Total CPU secs in NLP function evaluations = 0.000\n", + "Total seconds in IPOPT = 0.007\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -242,7 +230,7 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.024416446685791016}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.10199785232543945}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, "execution_count": 2, @@ -291,18 +279,18 @@ "text": [ "Nuclear plant power production : 1000000.0 kW\n", "Electricity to grid : 800000.0 kW\n", - "Electricity to PEM : 200000.0 kW\n", + "Electricity to PEM : 199999.99999999997 kW\n", "\n", - "Flowrate of H2 from pem : 505.48119999999994 mol/s\n", + "Flowrate of H2 from pem : 505.4811999999999 mol/s\n", "\n", - "Flowrate of H2 to tank : 505.48119999999994 mol/s\n", + "Flowrate of H2 to tank : 505.4811999999999 mol/s\n", "Flowrate of H2 to pipeline : 10 mol/s\n", "Flowrate of H2 to turbine : 10 mol/s\n", "Initial tank holdup : 0 mol\n", - "Tank holdup at the end of 1 hr : 1747732.3199999998 mol\n", - "H2 Turbine's compressor work : 1764604.5955977982 kg*m**2/s**3\n", - "H2 Turbine's turbine work : -2672169.126200439 kg*m**2/s**3\n", - "Net power produced by turbine : 907564.5306026407 kg*m**2/s**3\n" + "Tank holdup at the end of 1 hr : 1747732.3199999996 mol\n", + "H2 Turbine's compressor work : 1764604.5955977994 kg*m**2/s**3\n", + "H2 Turbine's turbine work : -2672169.126200441 kg*m**2/s**3\n", + "Net power produced by turbine : 907564.5306026414 kg*m**2/s**3\n" ] } ], @@ -536,62 +524,62 @@ "text": [ "[ 0.00] Processing input information.\n", "[+ 0.00] Beginning the formulation of the multiperiod problem.\n", - "[+ 226.00] Completed the formulation of the multiperiod problem\n", - "2022-07-01 17:11:08 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-07-01 17:11:08 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:08 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:08 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-07-01 17:11:08 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:08 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-07-01 17:11:09 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:09 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:09 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-07-01 17:11:09 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:09 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:09 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:09 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-07-01 17:11:09 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:09 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-07-01 17:11:09 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:09 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:09 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:09 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-07-01 17:11:09 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:09 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-07-01 17:11:09 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:09 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-07-01 17:11:09 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:09 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:09 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-07-01 17:11:09 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-07-01 17:11:09 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-07-01 17:11:09 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:09 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-07-01 17:11:10 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:10 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:10 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-07-01 17:11:10 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:10 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:10 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-07-01 17:11:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-07-01 17:11:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-07-01 17:11:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-07-01 17:11:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-07-01 17:11:10 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-07-01 17:11:10 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:10 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-07-01 17:11:10 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:10 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:10 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-07-01 17:11:10 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:10 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:11:11 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-07-01 17:11:11 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", - "[+ 2.85] Created an instance of the flowsheet and initialized it.\n", - "[+ 24.06] Initialized the entire multiperiod optimization model.\n", - "[+ 0.47] Unfixed the degrees of freedom from each period model.\n" + "[+ 149.21] Completed the formulation of the multiperiod problem\n", + "2022-08-22 06:18:22 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-08-22 06:18:22 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:22 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:22 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-08-22 06:18:22 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:22 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-08-22 06:18:22 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:22 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:22 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-08-22 06:18:23 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:23 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:23 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:23 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-08-22 06:18:23 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:23 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-08-22 06:18:23 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:23 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:23 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:23 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-08-22 06:18:23 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:23 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-08-22 06:18:23 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:23 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-08-22 06:18:24 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:24 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:24 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-22 06:18:24 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-08-22 06:18:24 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-08-22 06:18:24 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:24 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-08-22 06:18:24 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:24 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:24 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-08-22 06:18:24 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:24 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:24 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-22 06:18:24 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-08-22 06:18:25 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:25 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-08-22 06:18:25 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:25 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-08-22 06:18:25 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-22 06:18:25 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-08-22 06:18:25 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:25 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-08-22 06:18:25 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:25 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:25 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-08-22 06:18:25 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:25 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:18:26 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-22 06:18:26 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "[+ 4.12] Created an instance of the flowsheet and initialized it.\n", + "[+ 14.81] Initialized the entire multiperiod optimization model.\n", + "[+ 0.32] Unfixed the degrees of freedom from each period model.\n" ] } ], @@ -821,29 +809,17 @@ "name": "stdout", "output_type": "stream", "text": [ - "Ipopt 3.13.2: nlp_scaling_method=gradient-based\n", + "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", "tol=1e-06\n", "\n", "\n", "******************************************************************************\n", "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit http://projects.coin-or.org/Ipopt\n", - "\n", - "This version of Ipopt was compiled from source code available at\n", - " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", - " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", - " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", - "\n", - "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", - " for large-scale scientific computation. All technical papers, sales and\n", - " publicity material resulting from use of the HSL codes within IPOPT must\n", - " contain the following acknowledgement:\n", - " HSL, a collection of Fortran codes for large-scale scientific\n", - " computation. See http://www.hsl.rl.ac.uk.\n", + " For more information visit https://github.com/coin-or/Ipopt\n", "******************************************************************************\n", "\n", - "This is Ipopt version 3.13.2, running with linear solver ma27.\n", + "This is Ipopt version 3.14.7, running with linear solver MUMPS 5.5.0.\n", "\n", "Number of nonzeros in equality constraint Jacobian...: 580760\n", "Number of nonzeros in inequality constraint Jacobian.: 7680\n", @@ -864,94 +840,184 @@ " 1 -1.4944642e+09 1.91e+05 2.08e+04 -1.0 2.80e+06 - 8.10e-04 8.91e-01f 1\n", " 2 -1.5310591e+09 7.77e+03 1.27e+04 -1.0 5.00e+05 - 1.82e-03 9.90e-01f 1\n", " 3 -1.5315194e+09 2.28e+02 6.52e+03 -1.0 9.98e+03 - 2.59e-01 9.71e-01h 1\n", - " 4 -1.5315313e+09 1.30e+02 8.88e+04 -1.0 1.98e+02 - 1.43e-01 4.23e-01h 1\n", - " 5 -1.5315387e+09 9.95e+01 1.20e+05 -1.0 7.29e+02 - 2.34e-01 3.57e-01f 1\n", - " 6 -1.5315650e+09 1.09e+00 6.39e+05 -1.0 1.87e+02 - 1.67e-01 1.00e+00f 1\n", - " 7 -1.5315922e+09 3.97e-01 3.07e+06 -1.0 1.89e+02 - 6.84e-01 1.00e+00f 1\n", - " 8 -1.5316800e+09 1.23e+00 1.03e+06 -1.0 1.14e+03 - 6.66e-01 1.00e+00f 1\n", - " 9 -1.5317263e+09 1.90e+02 1.28e+06 -1.0 4.72e+04 - 3.52e-02 5.15e-01f 1\n", + " 4 -1.5315278e+09 1.35e+02 9.36e+03 -1.0 1.28e+03 - 7.18e-03 4.10e-01f 1\n", + " 5 -1.5315521e+09 1.35e+01 4.03e+03 -1.0 4.32e+02 - 3.32e-01 9.91e-01h 1\n", + " 6 -1.5315746e+09 4.57e+00 2.56e+05 -1.0 9.75e+01 - 5.72e-01 1.00e+00f 1\n", + " 7 -1.5316292e+09 1.45e+00 1.34e+06 -1.0 1.73e+02 - 8.62e-01 1.00e+00f 1\n", + " 8 -1.5318644e+09 2.47e-01 8.30e+05 -1.0 1.54e+03 - 3.79e-01 4.80e-01f 1\n", + " 9 -1.5328864e+09 4.92e-01 8.24e+05 -1.0 3.19e+03 - 7.34e-03 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -1.5343789e+09 1.07e+01 7.79e+05 -1.0 1.31e+04 - 5.55e-02 1.00e+00f 1\n", + " 11 -1.5367043e+09 1.90e+01 6.93e+05 -1.0 1.74e+04 - 1.10e-01 1.00e+00f 1\n", + " 12 -1.5407888e+09 8.00e+00 6.23e+05 -1.0 2.86e+04 - 1.02e-01 1.00e+00f 1\n", + " 13 -1.5483396e+09 3.67e+00 5.47e+05 -1.0 4.26e+04 - 1.21e-01 1.00e+00f 1\n", + " 14 -1.5636993e+09 1.02e+00 4.84e+05 -1.0 7.92e+04 - 1.16e-01 1.00e+00f 1\n", + " 15 -1.5637242e+09 1.34e-03 6.68e+04 -1.0 1.08e+02 -4.5 8.62e-01 1.00e+00f 1\n", + " 16 -1.5943785e+09 1.14e-03 6.57e+04 -1.0 1.08e+06 - 1.74e-02 1.32e-01f 1\n", + " 17 -1.5946867e+09 1.13e-03 6.53e+04 -1.0 1.21e+06 - 5.96e-03 1.43e-03f 1\n", + " 18 -1.5946882e+09 3.04e-07 6.53e+02 -1.0 1.22e+01 -3.6 9.90e-01 1.00e+00f 1\n", + " 19 -1.5950668e+09 1.23e-04 6.51e+02 -1.0 2.47e+07 - 2.35e-03 4.52e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 -1.5953212e+09 2.41e-04 6.50e+02 -1.0 2.40e+07 - 2.48e-03 4.47e-03f 1\n", + " 21 -1.5953225e+09 1.40e-05 6.45e+00 -1.0 3.11e+01 -4.2 9.90e-01 1.00e+00f 1\n", + " 22 -1.5953226e+09 1.49e-09 5.18e-02 -1.0 1.68e+01 -3.7 9.97e-01 1.00e+00f 1\n", + " 23 -1.5955218e+09 1.11e-05 8.25e-01 -3.8 3.15e+07 - 2.35e-03 3.56e-03f 1\n", + " 24 -1.5957134e+09 1.85e-05 1.44e+00 -3.8 4.32e+07 - 1.63e-03 2.55e-03f 1\n", + " 25 -1.5957170e+09 2.23e-06 8.06e+05 -3.8 7.56e+00 -3.4 9.53e-01 8.72e-01f 1\n", + " 26 -1.5957180e+09 1.54e-06 5.99e+05 -3.8 3.91e+01 -3.8 4.06e-01 3.08e-01f 1\n", + " 27 -1.5957187e+09 1.32e-06 5.31e+05 -3.8 7.22e+01 -4.3 2.06e-01 1.40e-01f 1\n", + " 28 -1.5958478e+09 1.32e-06 5.31e+05 -3.8 1.45e+09 - 4.82e-05 7.14e-05f 1\n", + " 29 -1.5958480e+09 1.17e-06 4.91e+05 -3.8 5.70e+01 -3.9 2.27e-01 1.15e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30 -1.5958487e+09 9.54e-07 4.07e+05 -3.8 9.63e+01 -4.4 2.04e-01 1.79e-01f 1\n", + " 31 -1.5958490e+09 8.04e-07 3.46e+05 -3.8 5.27e+01 -3.9 1.76e-01 1.56e-01f 1\n", + " 32 -1.5958494e+09 6.76e-07 3.06e+05 -3.8 8.00e+01 -4.4 3.04e-01 1.57e-01f 1\n", + " 33 -1.5960229e+09 7.00e-07 3.06e+05 -3.8 3.42e+09 - 2.09e-05 3.16e-05f 1\n", + " 34 -1.5961423e+09 7.24e-07 3.06e+05 -3.8 3.26e+09 - 2.22e-05 3.13e-05f 1\n", + " 35 -1.5961424e+09 6.57e-07 2.83e+05 -3.8 3.80e+01 -4.0 1.67e-01 9.24e-02f 1\n", + " 36 -1.5961429e+09 5.30e-07 2.24e+05 -3.8 7.88e+01 -4.5 1.00e-01 1.90e-01f 1\n", + " 37 -1.5961985e+09 5.45e-07 2.24e+05 -3.8 3.85e+09 - 1.88e-05 2.87e-05f 1\n", + " 38 -1.5962283e+09 5.60e-07 2.24e+05 -3.8 1.91e+09 - 2.38e-05 2.83e-05f 1\n", + " 39 -1.5962689e+09 5.60e-07 2.24e+05 -3.8 3.41e+09 - 2.06e-05 2.84e-05f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40 -1.5963101e+09 5.60e-07 2.24e+05 -3.8 2.66e+09 - 2.71e-05 3.12e-05f 1\n", + " 41 -1.5963408e+09 5.75e-07 2.24e+05 -3.8 3.70e+09 - 2.17e-05 2.86e-05f 1\n", + " 42 -1.5963632e+09 5.75e-07 2.24e+05 -3.8 3.11e+09 - 2.48e-05 3.44e-05f 1\n", + " 43 -1.5963633e+09 5.19e-07 2.14e+05 -3.8 3.54e+01 -4.1 3.25e-01 9.83e-02f 1\n", + " 44 -1.5963788e+09 5.19e-07 2.14e+05 -3.8 2.91e+09 - 2.63e-05 2.83e-05f 1\n", + " 45 -1.5963954e+09 5.19e-07 2.14e+05 -3.8 4.79e+09 - 1.57e-05 2.54e-05f 1\n", + " 46 -1.5964084e+09 5.12e-07 2.14e+05 -3.8 1.19e+09 - 2.98e-05 3.07e-05f 1\n", + " 47 -1.5964473e+09 6.00e-07 2.14e+05 -3.8 4.48e+09 - 1.51e-05 2.77e-05f 1\n", + " 48 -1.5964475e+09 5.12e-07 1.90e+05 -3.8 3.76e+01 -4.2 3.53e-01 1.46e-01f 1\n", + " 49 -1.5964476e+09 3.98e-07 1.49e+05 -3.8 1.45e+01 -3.8 2.79e-01 2.21e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50 -1.5964477e+09 2.55e-07 9.82e+04 -3.8 5.53e+00 -3.3 5.19e-01 3.59e-01f 1\n", + " 51 -1.5964479e+09 1.61e-07 6.50e+04 -3.8 1.62e+01 -3.8 7.16e-01 3.66e-01f 1\n", + " 52 -1.5964810e+09 2.58e-07 6.50e+04 -3.8 7.36e+09 - 8.75e-06 1.57e-05f 1\n", + " 53 -1.5964811e+09 2.23e-07 5.82e+04 -3.8 1.79e+01 -3.9 1.00e+00 1.34e-01f 1\n", + " 54 -1.5964985e+09 3.88e-07 5.82e+04 -3.8 3.97e+09 - 9.24e-06 1.85e-05f 1\n", + " 55 -1.5965084e+09 4.36e-07 5.82e+04 -3.8 9.03e+09 - 1.25e-05 9.52e-06f 1\n", + " 56 -1.5965084e+09 3.14e-07 4.20e+04 -3.8 7.54e+00 -3.5 1.00e+00 2.79e-01f 1\n", + " 57 -1.5965085e+09 2.61e-07 3.49e+04 -3.8 2.14e+01 -4.0 1.00e+00 1.68e-01f 1\n", + " 58 -1.5965086e+09 1.79e-07 2.41e+04 -3.8 8.02e+00 -3.5 1.00e+00 3.10e-01f 1\n", + " 59 -1.5965087e+09 1.37e-07 1.85e+04 -3.8 2.37e+01 -4.0 1.00e+00 2.30e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60 -1.5965089e+09 1.24e-07 1.67e+04 -3.8 6.72e+01 -4.5 1.00e+00 9.74e-02f 1\n", + " 61 -1.5965090e+09 1.07e-07 1.44e+04 -3.8 2.51e+01 -4.1 9.10e-01 1.37e-01f 1\n", + " 62 -1.5965357e+09 6.60e-07 1.44e+04 -3.8 4.26e+09 - 9.86e-06 3.63e-05f 1\n", + " 63 -1.5965359e+09 4.66e-07 1.03e+04 -3.8 2.80e+01 -4.1 1.00e+00 2.89e-01f 1\n", + " 64 -1.5965557e+09 7.14e-07 1.03e+04 -3.8 5.68e+09 - 1.05e-05 2.40e-05f 1\n", + " 65 -1.5965559e+09 5.47e-07 7.90e+03 -3.8 3.02e+01 -4.2 8.10e-01 2.29e-01f 1\n", + " 66 -1.5965819e+09 7.02e-07 7.90e+03 -3.8 5.82e+09 - 1.13e-05 1.91e-05f 1\n", + " 67 -1.5966007e+09 7.89e-07 7.90e+03 -3.8 6.73e+09 - 1.06e-05 1.44e-05f 1\n", + " 68 -1.5966161e+09 8.92e-07 7.90e+03 -3.8 6.86e+09 - 1.05e-05 1.56e-05f 1\n", + " 69 -1.5966286e+09 1.00e-06 7.90e+03 -3.8 6.02e+09 - 1.38e-05 1.62e-05f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -1.5317313e+09 1.36e+00 8.72e+05 -1.0 1.83e+02 -4.0 1.18e-01 1.00e+00f 1\n", - " 11 -1.5321112e+09 3.78e-01 4.32e+05 -1.0 5.99e+03 - 5.05e-01 1.00e+00f 1\n", - " 12 -1.5332880e+09 4.00e-03 4.26e+05 -1.0 3.66e+03 - 1.31e-02 1.00e+00f 1\n", - " 13 -1.5350114e+09 1.45e-06 3.95e+05 -1.0 1.44e+04 - 7.24e-02 1.00e+00f 1\n", - " 14 -1.5377561e+09 2.18e-10 3.48e+05 -1.0 1.69e+04 - 1.19e-01 1.00e+00f 1\n", - " 15 -1.5426917e+09 1.27e-10 3.04e+05 -1.0 3.00e+04 - 1.27e-01 1.00e+00f 1\n", - " 16 -1.5524243e+09 3.43e-10 2.67e+05 -1.0 5.34e+04 - 1.22e-01 1.00e+00f 1\n", - " 17 -1.5727455e+09 5.98e-10 2.35e+05 -1.0 9.82e+04 - 1.19e-01 1.00e+00f 1\n", - " 18 -1.5945127e+09 6.02e-10 2.08e+05 -1.0 1.91e+05 - 1.13e-01 5.05e-01f 1\n", - " 19 -1.5947343e+09 6.46e-10 1.77e+05 -1.0 1.76e+05 - 1.50e-01 7.45e-03f 1\n", + " 70 -1.5966287e+09 7.40e-07 5.85e+03 -3.8 1.37e+01 -3.8 1.00e+00 2.60e-01f 1\n", + " 71 -1.5966390e+09 1.02e-06 5.85e+03 -3.8 3.97e+09 - 1.58e-05 2.59e-05f 1\n", + " 72 -1.5966494e+09 1.16e-06 5.85e+03 -3.8 5.73e+09 - 1.18e-05 1.82e-05f 1\n", + " 73 -1.5966563e+09 1.32e-06 5.85e+03 -3.8 4.95e+09 - 1.55e-05 1.96e-05f 1\n", + " 74 -1.5966564e+09 1.14e-06 5.08e+03 -3.8 1.73e+01 -3.9 1.00e+00 1.32e-01f 1\n", + " 75 -1.5966566e+09 9.25e-07 4.13e+03 -3.8 5.20e+01 -4.4 1.00e+00 1.87e-01f 1\n", + " 76 -1.5966619e+09 1.34e-06 4.13e+03 -3.8 3.00e+09 - 3.10e-05 3.16e-05f 1\n", + " 77 -1.5966674e+09 1.48e-06 4.13e+03 -3.8 8.17e+09 - 5.49e-06 1.86e-05f 1\n", + " 78 -1.5966676e+09 9.22e-07 2.60e+03 -3.8 2.19e+01 -4.1 1.00e+00 3.70e-01f 1\n", + " 79 -1.5966678e+09 7.81e-07 2.21e+03 -3.8 6.57e+01 -4.5 4.52e-01 1.49e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20 -1.5947823e+09 7.89e-10 1.52e+05 -1.0 1.02e+05 - 1.43e-01 6.31e-02f 1\n", - " 21 -1.5954440e+09 5.61e-10 1.34e+05 -1.0 1.11e+05 - 1.17e-01 7.52e-01f 1\n", - " 22 -1.5955818e+09 5.49e-10 1.18e+05 -1.0 8.63e+04 - 1.15e-01 2.29e-01f 1\n", - " 23 -1.5959467e+09 4.95e-10 9.17e+04 -1.0 8.59e+04 - 2.25e-01 6.63e-01f 1\n", - " 24 -1.5962946e+09 5.55e-10 6.85e+04 -1.0 8.62e+04 - 2.53e-01 9.94e-01f 1\n", - " 25 -1.5964117e+09 5.31e-10 4.99e+04 -1.0 8.40e+04 - 2.73e-01 1.00e+00f 1\n", - " 26 -1.5964845e+09 6.88e-10 3.56e+04 -1.0 8.50e+04 - 2.86e-01 1.00e+00f 1\n", - " 27 -1.5965329e+09 5.42e-10 2.50e+04 -1.0 8.48e+04 - 2.98e-01 1.00e+00f 1\n", - " 28 -1.5965524e+09 5.34e-10 1.80e+04 -1.0 8.53e+04 - 2.80e-01 5.67e-01f 1\n", - " 29 -1.5965611e+09 5.25e-10 1.46e+04 -1.0 8.72e+04 - 1.90e-01 2.19e-01f 1\n", + " 80 -1.5966843e+09 2.03e-05 2.21e+03 -3.8 8.22e+08 - 3.09e-05 2.08e-04f 1\n", + " 81 -1.5966885e+09 2.04e-05 2.21e+03 -3.8 2.88e+09 - 3.25e-05 1.89e-05f 1\n", + " 82 -1.5966987e+09 2.09e-05 2.21e+03 -3.8 2.85e+09 - 2.30e-05 3.49e-05f 1\n", + " 83 -1.5966988e+09 1.86e-05 1.96e+03 -3.8 2.77e+01 -4.2 1.00e+00 1.13e-01f 1\n", + " 84 -1.5966990e+09 1.58e-05 1.68e+03 -3.8 8.31e+01 -4.6 3.29e-01 1.46e-01f 1\n", + " 85 -1.5967053e+09 1.69e-05 1.68e+03 -3.8 2.39e+09 - 3.34e-05 4.75e-05f 1\n", + " 86 -1.5967086e+09 1.73e-05 1.68e+03 -3.8 3.85e+09 - 2.14e-05 3.05e-05f 1\n", + " 87 -1.5967087e+09 1.50e-05 1.45e+03 -3.8 3.51e+01 -4.3 1.00e+00 1.33e-01f 1\n", + " 88 -1.5967176e+09 4.16e-05 1.45e+03 -3.8 7.08e+08 - 4.20e-05 2.35e-04f 1\n", + " 89 -1.5967178e+09 3.30e-05 1.15e+03 -3.8 3.94e+01 -4.3 4.11e-01 2.07e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30 -1.5965750e+09 5.27e-10 1.13e+04 -1.0 9.18e+04 - 2.21e-01 3.60e-01f 1\n", - " 31 -1.5965878e+09 5.91e-10 8.75e+03 -1.0 9.17e+04 - 2.29e-01 3.99e-01f 1\n", - " 32 -1.5965937e+09 5.47e-10 6.56e+03 -1.0 9.06e+04 - 2.50e-01 4.54e-01f 1\n", - " 33 -1.5965974e+09 4.95e-10 4.78e+03 -1.0 7.97e+04 - 2.71e-01 5.12e-01f 1\n", - " 34 -1.5966027e+09 4.91e-10 3.42e+03 -1.0 6.07e+04 - 2.84e-01 5.30e-01f 1\n", - " 35 -1.5966013e+09 5.30e-10 2.41e+03 -1.0 8.43e+04 - 2.95e-01 6.23e-01f 1\n", - " 36 -1.5965947e+09 5.78e-10 1.61e+03 -1.0 6.27e+04 - 3.32e-01 7.29e-01f 1\n", - " 37 -1.5965872e+09 5.77e-10 1.01e+03 -1.0 6.84e+04 - 3.75e-01 9.34e-01f 1\n", - " 38 -1.5965795e+09 5.52e-10 5.39e+02 -1.0 3.69e+04 - 4.64e-01 1.00e+00f 1\n", - " 39 -1.5965702e+09 6.13e-10 1.83e+02 -1.0 3.58e+04 - 6.60e-01 1.00e+00f 1\n", + " 90 -1.5967209e+09 3.58e-05 1.15e+03 -3.8 1.49e+09 - 4.52e-05 7.50e-05f 1\n", + " 91 -1.5967220e+09 3.73e-05 1.15e+03 -3.8 5.32e+08 - 6.59e-05 5.43e-05f 1\n", + " 92 -1.5967241e+09 3.84e-05 1.15e+03 -3.8 2.93e+09 - 2.28e-05 4.51e-05f 1\n", + " 93 -1.5967242e+09 3.07e-06 9.50e+01 -3.8 6.24e+00 -3.5 1.00e+00 9.18e-01f 1\n", + " 94 -1.5967244e+09 1.92e-06 5.95e+01 -3.8 1.87e+01 -4.0 5.95e-01 3.74e-01f 1\n", + " 95 -1.5967262e+09 3.26e-05 5.95e+01 -3.8 1.08e+08 - 1.32e-04 2.34e-04f 1\n", + " 96 -1.5967280e+09 3.41e-05 5.95e+01 -3.8 3.14e+09 - 1.29e-05 4.99e-05f 1\n", + " 97 -1.5967283e+09 3.56e-05 5.94e+01 -3.8 2.69e+06 - 1.33e-03 4.90e-05f 1\n", + " 98 -1.5967296e+09 5.13e-05 5.94e+01 -3.8 1.65e+09 - 2.29e-06 1.17e-04f 1\n", + " 99 -1.5967296e+09 4.58e-05 5.30e+01 -3.8 1.38e+01 -3.7 3.41e-01 1.07e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40 -1.5965659e+09 5.71e-10 5.90e+01 -1.0 2.92e+04 - 9.90e-01 1.00e+00f 1\n", - " 41 -1.5965644e+09 5.93e-10 2.28e+00 -1.0 7.96e+03 - 1.00e+00 1.00e+00f 1\n", - " 42 -1.5967508e+09 5.55e-10 8.78e+05 -2.5 1.54e+05 - 8.91e-01 9.82e-01f 1\n", - " 43 -1.5967560e+09 5.64e-10 2.11e+00 -2.5 6.73e+03 - 1.00e+00 1.00e+00f 1\n", - " 44 -1.5967560e+09 5.99e-10 4.61e-01 -2.5 3.47e+01 - 1.00e+00 1.00e+00f 1\n", - " 45 -1.5967560e+09 5.30e-10 1.09e-02 -2.5 5.35e+00 - 1.00e+00 1.00e+00f 1\n", - " 46 -1.5967588e+09 5.16e-10 1.19e+05 -3.8 4.45e+03 - 1.00e+00 5.56e-01f 1\n", - " 47 -1.5967599e+09 5.34e-10 5.36e+04 -3.8 1.97e+03 - 1.00e+00 5.49e-01f 1\n", - " 48 -1.5967604e+09 5.05e-10 1.91e+04 -3.8 8.72e+02 - 9.22e-01 6.43e-01f 1\n", - " 49 -1.5967605e+09 5.54e-10 1.18e+03 -3.8 2.83e+02 - 1.00e+00 9.38e-01f 1\n", + " 100 -1.5967296e+09 4.55e-05 5.28e+01 -3.8 2.66e+01 -4.1 1.00e+00 6.54e-03f 1\n", + " 101 -1.5967383e+09 2.11e-03 5.27e+01 -3.8 1.37e+06 - 1.39e-03 1.69e-03f 1\n", + " 102 -1.5967410e+09 2.46e-03 5.26e+01 -3.8 1.65e+06 - 2.21e-03 9.74e-04f 1\n", + " 103 -1.5967418e+09 2.46e-03 5.26e+01 -3.8 8.21e+08 - 6.50e-06 2.33e-04f 1\n", + " 104 -1.5967463e+09 3.10e-03 5.24e+01 -3.8 5.96e+05 - 3.00e-03 2.28e-03f 1\n", + " 105 -1.5967509e+09 4.79e-03 5.23e+01 -3.8 3.38e+05 - 2.65e-03 3.68e-03f 1\n", + " 106 -1.5967550e+09 1.06e-02 5.19e+01 -3.8 1.99e+05 - 7.78e-03 6.16e-03f 1\n", + " 107 -1.5967559e+09 1.06e-02 5.18e+01 -3.8 1.02e+05 - 5.53e-04 3.90e-03f 1\n", + " 108 -1.5967567e+09 1.05e-02 5.17e+01 -3.8 8.74e+04 - 2.40e-03 4.12e-03f 1\n", + " 109 -1.5967573e+09 1.05e-02 5.13e+01 -3.8 6.89e+04 - 7.67e-03 4.54e-03f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50 -1.5967605e+09 6.23e-10 1.09e-01 -3.8 5.05e+01 - 1.00e+00 1.00e+00f 1\n", - " 51 -1.5967605e+09 6.44e-10 5.86e-03 -3.8 1.33e+01 - 1.00e+00 1.00e+00f 1\n", - " 52 -1.5967605e+09 5.46e-10 2.15e-05 -3.8 8.11e-01 - 1.00e+00 1.00e+00h 1\n", - " 53 -1.5967606e+09 5.37e-10 6.82e+03 -5.7 1.54e+02 - 8.46e-01 3.87e-01f 1\n", - " 54 -1.5967606e+09 5.33e-10 4.79e+03 -5.7 4.71e+01 - 1.92e-01 2.71e-01f 1\n", - " 55 -1.5967606e+09 4.94e-10 3.23e+03 -5.7 2.95e+01 - 3.27e-01 3.26e-01f 1\n", - " 56 -1.5967606e+09 7.18e-10 3.53e+03 -5.7 1.90e+01 - 6.07e-01 1.02e-01f 1\n", - " 57 -1.5967606e+09 5.37e-10 2.36e+03 -5.7 1.38e+01 - 7.60e-02 2.99e-01f 1\n", - " 58 -1.5967606e+09 7.03e-10 1.40e+03 -5.7 9.27e+00 - 2.21e-01 3.76e-01f 1\n", - " 59 -1.5967606e+09 5.23e-10 8.52e+02 -5.7 5.52e+00 - 4.97e-01 4.14e-01f 1\n", + " 110 -1.5967580e+09 1.04e-02 5.10e+01 -3.8 5.02e+04 - 5.15e-03 7.81e-03f 1\n", + " 111 -1.5967585e+09 1.03e-02 5.01e+01 -3.8 3.78e+04 - 1.82e-02 8.76e-03f 1\n", + " 112 -1.5967589e+09 1.02e-02 7.14e+01 -3.8 2.48e+04 - 6.46e-02 1.31e-02f 1\n", + " 113 -1.5967595e+09 9.67e-03 7.02e+01 -3.8 1.24e+04 - 4.93e-02 4.66e-02f 1\n", + " 114 -1.5967596e+09 8.41e-03 2.72e+02 -3.8 4.29e+00 -3.6 7.81e-01 1.30e-01f 1\n", + " 115 -1.5967600e+09 7.86e-03 2.67e+02 -3.8 7.02e+03 - 1.49e-01 6.27e-02f 1\n", + " 116 -1.5967600e+09 5.99e-03 2.80e+02 -3.8 3.99e+00 -4.1 1.00e+00 2.38e-01f 1\n", + " 117 -1.5967604e+09 8.43e-03 2.40e+02 -3.8 3.00e+03 - 1.40e-01 1.49e-01f 1\n", + " 118 -1.5967605e+09 7.74e-03 1.38e+02 -3.8 7.70e+02 - 5.29e-01 2.64e-01f 1\n", + " 119 -1.5967605e+09 4.32e-03 5.58e+01 -3.8 1.01e+00 -3.7 6.79e-01 4.43e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60 -1.5967606e+09 5.57e-10 5.14e+02 -5.7 3.07e+00 - 8.68e-01 4.77e-01f 1\n", - " 61 -1.5967606e+09 5.48e-10 1.33e+02 -5.7 1.54e+00 - 1.00e+00 7.53e-01f 1\n", - " 62 -1.5967606e+09 6.23e-10 1.71e-05 -5.7 3.76e-01 - 1.00e+00 1.00e+00f 1\n", - " 63 -1.5967606e+09 6.89e-10 1.01e+02 -7.0 5.79e-01 - 9.95e-01 4.19e-01f 1\n", - " 64 -1.5967606e+09 5.30e-10 5.01e-01 -7.0 3.32e-01 - 1.00e+00 9.95e-01f 1\n", - " 65 -1.5967606e+09 5.49e-10 3.49e-09 -7.0 1.61e-03 - 1.00e+00 1.00e+00f 1\n", + " 120 -1.5967605e+09 4.08e-03 4.49e+01 -3.8 4.36e+01 - 1.00e+00 5.70e-02f 1\n", + " 121 -1.5967605e+09 1.40e-03 1.86e-02 -3.8 2.90e+01 - 1.00e+00 1.00e+00f 1\n", + " 122 -1.5967605e+09 1.34e-07 7.71e-05 -3.8 3.23e-02 -3.3 1.00e+00 1.00e+00h 1\n", + " 123 -1.5967605e+09 5.86e-08 5.76e+03 -5.7 7.20e-01 -3.8 9.49e-01 5.61e-01f 1\n", + " 124 -1.5967605e+09 3.59e-08 3.87e+03 -5.7 1.84e+00 -4.3 8.41e-01 3.87e-01f 1\n", + " 125 -1.5967605e+09 1.46e-08 1.62e+03 -5.7 1.51e-01 -2.9 9.24e-01 5.92e-01f 1\n", + " 126 -1.5967606e+09 7.21e-05 1.61e+03 -5.7 1.44e+04 - 9.12e-03 5.22e-03f 1\n", + " 127 -1.5967606e+09 7.27e-05 1.58e+03 -5.7 3.89e+03 - 2.01e-02 2.22e-03f 1\n", + " 128 -1.5967606e+09 7.17e-05 1.56e+03 -5.7 1.04e+03 - 9.62e-03 1.49e-02f 1\n", + " 129 -1.5967606e+09 7.08e-05 1.55e+03 -5.7 4.86e+02 - 5.42e-03 1.46e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 130 -1.5967606e+09 7.00e-05 1.53e+03 -5.7 2.91e+02 - 1.14e-02 1.35e-02f 1\n", + " 131 -1.5967606e+09 6.96e-05 1.48e+03 -5.7 1.75e+02 - 3.96e-02 7.07e-03f 1\n", + " 132 -1.5967606e+09 6.89e-05 1.28e+03 -5.7 1.20e+02 - 1.39e-01 1.11e-02f 1\n", + " 133 -1.5967606e+09 6.60e-05 1.23e+03 -5.7 4.38e+01 - 3.72e-02 4.75e-02f 1\n", + " 134 -1.5967606e+09 6.28e-05 1.13e+03 -5.7 2.59e+01 - 8.43e-02 5.62e-02f 1\n", + " 135 -1.5967606e+09 2.74e-05 4.18e+02 -5.7 1.76e-01 -3.2 4.85e-01 5.63e-01f 1\n", + " 136 -1.5967606e+09 1.82e-05 2.76e+02 -5.7 3.73e-01 -3.7 2.63e-01 3.37e-01f 1\n", + " 137 -1.5967606e+09 2.29e-05 2.67e+02 -5.7 2.39e+01 - 2.97e-02 4.98e-02f 1\n", + " 138 -1.5967606e+09 1.59e-05 1.99e+02 -5.7 3.33e-01 -3.7 1.00e+00 3.01e-01f 1\n", + " 139 -1.5967606e+09 2.57e-05 1.94e+02 -5.7 1.97e+01 - 1.83e-02 5.83e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 140 -1.5967606e+09 3.34e-05 1.82e+02 -5.7 2.38e+01 - 6.52e-02 5.21e-02f 1\n", + " 141 -1.5967606e+09 4.60e-05 8.40e+01 -5.7 7.49e+00 - 5.90e-01 9.66e-02f 1\n", + " 142 -1.5967606e+09 1.10e-04 5.87e+00 -5.7 1.75e+00 - 1.00e+00 6.02e-01f 1\n", + " 143 -1.5967606e+09 3.25e-07 2.51e-05 -5.7 6.64e-02 -5.2 1.00e+00 1.00e+00f 1\n", + " 144 -1.5967606e+09 2.16e-06 1.88e-07 -5.7 4.01e-02 - 1.00e+00 1.00e+00h 1\n", + " 145 -1.5967606e+09 9.44e-07 9.09e+00 -7.0 5.77e-01 - 9.95e-01 5.45e-01f 1\n", + " 146 -1.5967606e+09 4.88e-08 6.28e-06 -7.0 2.58e-01 - 1.00e+00 1.00e+00f 1\n", + " 147 -1.5967606e+09 4.67e-08 2.87e-10 -7.0 7.60e-04 - 1.00e+00 1.00e+00h 1\n", "\n", - "Number of Iterations....: 65\n", + "Number of Iterations....: 147\n", "\n", " (scaled) (unscaled)\n", - "Objective...............: -2.6787832953601621e+07 -1.5967606334020669e+09\n", - "Dual infeasibility......: 3.4906158039623750e-09 2.0806751750887140e-07\n", - "Constraint violation....: 1.1641532182693481e-10 5.4893600776040330e-10\n", - "Complementarity.........: 9.1160146931116271e-08 5.4338450671570302e-06\n", - "Overall NLP error.......: 9.1160146931116271e-08 5.4338450671570302e-06\n", + "Objective...............: -2.6787832953601550e+07 -1.5967606334020629e+09\n", + "Dual infeasibility......: 2.8677333357578488e-10 1.7093893729904225e-08\n", + "Constraint violation....: 5.6086243422276531e-09 4.6677200771227945e-08\n", + "Variable bound violation: 6.2798239865591993e-09 6.2798239865591993e-09\n", + "Complementarity.........: 1.1337418143208924e-07 6.7579721759689421e-06\n", + "Overall NLP error.......: 1.1337418143208924e-07 6.7579721759689421e-06\n", "\n", "\n", - "Number of objective function evaluations = 66\n", - "Number of objective gradient evaluations = 66\n", - "Number of equality constraint evaluations = 66\n", - "Number of inequality constraint evaluations = 66\n", - "Number of equality constraint Jacobian evaluations = 66\n", - "Number of inequality constraint Jacobian evaluations = 66\n", - "Number of Lagrangian Hessian evaluations = 65\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 49.355\n", - "Total CPU secs in NLP function evaluations = 21.167\n", + "Number of objective function evaluations = 148\n", + "Number of objective gradient evaluations = 148\n", + "Number of equality constraint evaluations = 148\n", + "Number of inequality constraint evaluations = 148\n", + "Number of equality constraint Jacobian evaluations = 148\n", + "Number of inequality constraint Jacobian evaluations = 148\n", + "Number of Lagrangian Hessian evaluations = 147\n", + "Total seconds in IPOPT = 492.297\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -959,7 +1025,7 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212160, 'Number of variables': 211203, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 72.74183440208435}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212160, 'Number of variables': 211203, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 494.4763538837433}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, "execution_count": 11, @@ -1020,13 +1086,13 @@ " np_to_grid = [m.period[t, d, y].fs.np_power_split.split_fraction[\"np_to_grid\", 0].value \n", " for t in set_time]\n", " # Hydrogen production rate in the PEM electrolyzer (convert it to kg/hr)\n", - " h2_production = [m.period[t, d, y].fs.pem.outlet.flow_mol[0].value * 2.013e-3 * 3600\n", + " h2_production = [m.period[t, d, y].fs.pem.outlet.flow_mol[0].value * 2.016e-3 * 3600\n", " for t in set_time]\n", " # Hydrogen flowrate to pipeline (convert it to kg/hr)\n", - " h2_to_pipeline = [m.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0].value * 2.013e-3 * 3600\n", + " h2_to_pipeline = [m.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0].value * 2.016e-3 * 3600\n", " for t in set_time]\n", " # Hydrogen flowrate to turbine (convert it to kg/hr)\n", - " h2_to_turbine = [m.period[t, d, y].fs.h2_tank.outlet_to_turbine.flow_mol[0].value * 2.013e-3 * 3600\n", + " h2_to_turbine = [m.period[t, d, y].fs.h2_tank.outlet_to_turbine.flow_mol[0].value * 2.016e-3 * 3600\n", " for t in set_time]\n", " \n", " # Plot the results\n", @@ -1055,14 +1121,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "Optimal PEM capacity : 196.2616021908122 MW\n", - "Optimal tank capacity : 2.0756993646370207e-05 kg\n", - "OPtimal turbine capacity: 9.076695580817415e-05 MW\n" + "Optimal PEM capacity : 196.26160219081282 MW\n", + "Optimal tank capacity : 2.0756957290771968e-05 kg\n", + "OPtimal turbine capacity: 9.076695570861662e-05 MW\n" ] }, { "data": { - "image/png": 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", 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", 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", 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", 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" ] @@ -1223,62 +1289,62 @@ "text": [ "[ 0.00] Processing input information.\n", "[+ 0.00] Beginning the formulation of the multiperiod problem.\n", - "[+ 253.45] Completed the formulation of the multiperiod problem\n", - "2022-07-01 17:18:34 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-07-01 17:18:34 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:34 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:34 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-07-01 17:18:34 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:34 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-07-01 17:18:34 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:34 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:34 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-07-01 17:18:34 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:34 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:34 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:34 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-07-01 17:18:34 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:34 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-07-01 17:18:34 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:34 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:34 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:34 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-07-01 17:18:34 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:34 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-07-01 17:18:35 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:35 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-07-01 17:18:35 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:35 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:35 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-07-01 17:18:35 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-07-01 17:18:35 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-07-01 17:18:35 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:35 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-07-01 17:18:35 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:35 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:35 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-07-01 17:18:35 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:35 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:35 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-07-01 17:18:35 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-07-01 17:18:35 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:35 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-07-01 17:18:35 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:35 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-07-01 17:18:36 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-07-01 17:18:36 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-07-01 17:18:36 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:36 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-07-01 17:18:36 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:36 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:36 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-07-01 17:18:36 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:36 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-07-01 17:18:36 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-07-01 17:18:36 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", - "[+ 2.91] Created an instance of the flowsheet and initialized it.\n", - "[+ 24.67] Initialized the entire multiperiod optimization model.\n", - "[+ 0.43] Unfixed the degrees of freedom from each period model.\n" + "[+ 153.47] Completed the formulation of the multiperiod problem\n", + "2022-08-22 06:30:16 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-08-22 06:30:16 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:16 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:16 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-08-22 06:30:16 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:16 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-08-22 06:30:16 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:16 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:16 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-08-22 06:30:17 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:17 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:17 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:17 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-08-22 06:30:17 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:17 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-08-22 06:30:17 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:17 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:17 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:17 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-08-22 06:30:17 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:17 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-08-22 06:30:18 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:18 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-08-22 06:30:18 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:18 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:18 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-22 06:30:18 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-08-22 06:30:18 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-08-22 06:30:18 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:18 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-08-22 06:30:18 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:18 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:18 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-08-22 06:30:18 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:18 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:19 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-22 06:30:19 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-08-22 06:30:19 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:19 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-08-22 06:30:19 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:19 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-08-22 06:30:19 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-22 06:30:19 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-08-22 06:30:19 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:19 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-08-22 06:30:19 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:19 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:19 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-08-22 06:30:20 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:20 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-22 06:30:20 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-22 06:30:20 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "[+ 4.40] Created an instance of the flowsheet and initialized it.\n", + "[+ 16.93] Initialized the entire multiperiod optimization model.\n", + "[+ 0.36] Unfixed the degrees of freedom from each period model.\n" ] } ], @@ -1367,29 +1433,17 @@ "name": "stdout", "output_type": "stream", "text": [ - "Ipopt 3.13.2: nlp_scaling_method=gradient-based\n", + "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", "tol=1e-06\n", "\n", "\n", "******************************************************************************\n", "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit http://projects.coin-or.org/Ipopt\n", - "\n", - "This version of Ipopt was compiled from source code available at\n", - " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", - " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", - " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", - "\n", - "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", - " for large-scale scientific computation. All technical papers, sales and\n", - " publicity material resulting from use of the HSL codes within IPOPT must\n", - " contain the following acknowledgement:\n", - " HSL, a collection of Fortran codes for large-scale scientific\n", - " computation. See http://www.hsl.rl.ac.uk.\n", + " For more information visit https://github.com/coin-or/Ipopt\n", "******************************************************************************\n", "\n", - "This is Ipopt version 3.13.2, running with linear solver ma27.\n", + "This is Ipopt version 3.14.7, running with linear solver MUMPS 5.5.0.\n", "\n", "Number of nonzeros in equality constraint Jacobian...: 580772\n", "Number of nonzeros in inequality constraint Jacobian.: 7680\n", @@ -1411,81 +1465,149 @@ " 2 -1.5732609e+09 7.89e+03 1.24e+04 -1.0 5.04e+05 - 6.39e-04 9.90e-01f 1\n", " 3 -1.5737278e+09 2.33e+02 4.40e+03 -1.0 1.01e+04 - 4.84e-01 9.71e-01f 1\n", " 4 -1.5737296e+09 2.21e+02 1.17e+04 -1.0 2.04e+02 - 2.69e-02 5.23e-02f 4\n", - " 5 -1.5737373e+09 1.69e+02 5.96e+04 -1.0 1.39e+02 - 7.09e-02 2.32e-01h 2\n", - " 6 -1.5737516e+09 9.33e+01 1.20e+05 -1.0 9.11e+01 - 8.23e-01 4.43e-01h 1\n", - " 7 -1.5738919e+09 9.07e+00 3.52e+05 -1.0 5.28e+02 - 4.10e-01 9.39e-01f 1\n", - " 8 -1.5741711e+09 2.33e+01 3.18e+06 -1.0 1.02e+03 - 3.86e-01 1.00e+00f 1\n", - " 9 -1.5741718e+09 2.03e+01 8.01e+05 -1.0 1.02e+02 -4.0 3.95e-01 1.25e-01f 4\n", + " 5 -1.5737432e+09 1.14e+02 1.23e+04 -1.0 1.02e+03 - 6.74e-03 4.98e-01f 1\n", + " 6 -1.5737728e+09 1.29e+01 5.26e+03 -1.0 3.95e+02 - 7.84e-01 9.92e-01h 1\n", + " 7 -1.5737782e+09 1.23e+00 1.13e+06 -1.0 3.37e+01 -4.0 5.46e-01 1.00e+00f 1\n", + " 8 -1.5740225e+09 1.35e+00 3.90e+06 -1.0 8.84e+02 - 5.47e-01 1.00e+00f 1\n", + " 9 -1.5747652e+09 3.14e+00 3.72e+06 -1.0 2.68e+03 - 4.76e-02 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -1.5747859e+09 4.29e-02 2.22e+06 -1.0 1.68e+02 -4.5 4.04e-01 1.00e+00f 1\n", + " 11 -1.5767248e+09 4.49e-02 2.19e+06 -1.0 1.49e+04 - 1.14e-02 1.00e+00f 1\n", + " 12 -1.5791179e+09 4.25e-01 1.99e+06 -1.0 2.27e+04 - 9.09e-02 6.91e-01f 1\n", + " 13 -1.5841947e+09 5.01e-01 1.80e+06 -1.0 3.51e+04 - 9.63e-02 7.93e-01f 1\n", + " 14 -1.5975256e+09 4.62e-02 1.62e+06 -1.0 6.32e+04 - 1.01e-01 1.00e+00f 1\n", + " 15 -1.5976020e+09 1.59e-04 4.60e+05 -1.0 3.29e+02 -5.0 7.16e-01 1.00e+00f 1\n", + " 16 -1.5976057e+09 3.03e-08 4.60e+03 -1.0 1.67e+01 -3.6 9.90e-01 1.00e+00f 1\n", + " 17 -1.6299658e+09 1.76e-04 4.59e+03 -1.0 2.61e+07 - 1.03e-03 4.68e-03f 1\n", + " 18 -1.6299700e+09 7.39e-06 4.57e+01 -1.0 1.86e+01 -3.7 9.90e-01 1.00e+00f 1\n", + " 19 -1.6303305e+09 1.10e-04 4.56e+01 -1.0 2.97e+07 - 2.20e-03 3.61e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 -1.6305480e+09 1.93e-04 4.55e+01 -1.0 3.36e+07 - 2.13e-03 3.05e-03f 1\n", + " 21 -1.6306623e+09 2.96e-04 4.54e+01 -1.0 3.01e+07 - 2.40e-03 3.45e-03f 1\n", + " 22 -1.6307205e+09 4.19e-04 4.53e+01 -1.0 2.65e+07 - 3.49e-03 3.85e-03f 1\n", + " 23 -1.6307870e+09 9.58e-04 4.51e+01 -1.0 1.49e+07 - 2.81e-03 8.68e-03f 1\n", + " 24 -1.6307920e+09 4.56e-05 1.14e+01 -1.0 2.74e+01 -3.8 9.94e-01 1.00e+00f 1\n", + " 25 -1.6308272e+09 4.50e-05 6.51e+04 -1.7 1.21e+07 - 3.96e-03 1.21e-02f 1\n", + " 26 -1.6308337e+09 5.88e-05 6.44e+04 -1.7 2.02e+06 - 1.06e-02 5.31e-03f 1\n", + " 27 -1.6308503e+09 1.02e-04 6.43e+04 -1.7 3.06e+07 - 1.06e-03 5.30e-03f 1\n", + " 28 -1.6308610e+09 1.49e-04 6.40e+04 -1.7 1.74e+07 - 5.42e-03 5.72e-03f 1\n", + " 29 -1.6308774e+09 2.51e-05 2.97e+05 -1.7 7.43e+01 -4.3 9.37e-01 9.73e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30 -1.6308829e+09 2.54e-07 4.41e-03 -1.7 2.98e+01 -3.8 1.00e+00 1.00e+00f 1\n", + " 31 -1.6308832e+09 2.49e-07 1.06e+06 -3.8 7.49e+01 -4.3 5.55e-01 2.21e-02f 1\n", + " 32 -1.6308993e+09 5.03e-06 1.06e+06 -3.8 9.29e+07 - 5.21e-04 1.59e-03f 1\n", + " 33 -1.6309009e+09 3.92e-06 7.47e+05 -3.8 1.53e+02 -4.4 1.24e-01 2.16e-01f 1\n", + " 34 -1.6309016e+09 2.95e-06 4.98e+05 -3.8 6.68e+01 -3.9 1.60e-01 2.45e-01f 1\n", + " 35 -1.6309021e+09 2.04e-06 2.90e+05 -3.8 3.15e+01 -3.5 2.27e-01 3.09e-01f 1\n", + " 36 -1.6309021e+09 1.99e-06 3.67e+05 -3.8 9.06e+01 -4.0 1.87e-01 2.21e-02f 1\n", + " 37 -1.6309023e+09 1.69e-06 2.87e+05 -3.8 3.43e+01 -3.6 9.14e-02 1.51e-01f 1\n", + " 38 -1.6309026e+09 1.50e-06 2.36e+05 -3.8 7.31e+01 -4.0 6.09e-02 1.12e-01f 1\n", + " 39 -1.6309027e+09 1.34e-06 2.82e+05 -3.8 2.78e+01 -3.6 3.14e-01 1.07e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40 -1.6309203e+09 2.56e-06 2.82e+05 -3.8 3.75e+08 - 1.65e-04 3.57e-04f 1\n", + " 41 -1.6309289e+09 2.94e-06 2.82e+05 -3.8 4.30e+08 - 1.89e-04 1.81e-04f 1\n", + " 42 -1.6309290e+09 2.28e-06 2.19e+05 -3.8 2.12e+01 -3.2 2.26e-01 2.24e-01f 1\n", + " 43 -1.6309292e+09 1.90e-06 1.73e+05 -3.8 3.41e+01 -3.7 1.10e-01 1.65e-01f 1\n", + " 44 -1.6309294e+09 1.74e-06 1.65e+05 -3.8 7.76e+01 -4.2 1.23e-01 8.39e-02f 1\n", + " 45 -1.6309295e+09 1.65e-06 1.75e+05 -3.8 3.81e+01 -3.8 1.90e-01 5.46e-02f 1\n", + " 46 -1.6309297e+09 1.46e-06 1.63e+05 -3.8 8.50e+01 -4.2 1.76e-01 1.12e-01f 1\n", + " 47 -1.6309298e+09 1.26e-06 1.80e+05 -3.8 3.17e+01 -3.8 5.44e-01 1.34e-01f 1\n", + " 48 -1.6309300e+09 8.34e-07 1.17e+05 -3.8 1.17e+01 -3.4 2.74e-01 3.38e-01f 1\n", + " 49 -1.6309300e+09 7.47e-07 1.15e+05 -3.8 2.64e+01 -3.9 4.25e-01 1.04e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50 -1.6309389e+09 1.04e-06 1.15e+05 -3.8 1.52e+09 - 3.37e-05 4.19e-05f 1\n", + " 51 -1.6309391e+09 8.37e-07 9.78e+04 -3.8 3.03e+01 -3.9 4.86e-01 1.94e-01f 1\n", + " 52 -1.6309514e+09 1.01e-06 9.78e+04 -3.8 4.88e+09 - 1.44e-05 2.53e-05f 1\n", + " 53 -1.6309515e+09 9.09e-07 9.39e+04 -3.8 2.90e+01 -4.0 7.11e-01 9.90e-02f 1\n", + " 54 -1.6309644e+09 1.34e-06 9.39e+04 -3.8 4.32e+09 - 1.46e-05 3.07e-05f 1\n", + " 55 -1.6309645e+09 3.56e-07 2.62e+04 -3.8 4.40e+00 -3.1 1.00e+00 7.29e-01f 1\n", + " 56 -1.6309645e+09 2.87e-07 2.11e+04 -3.8 1.10e+01 -3.6 6.23e-01 1.94e-01f 1\n", + " 57 -1.6309646e+09 1.94e-07 1.43e+04 -3.8 3.88e+00 -3.2 1.00e+00 3.23e-01f 1\n", + " 58 -1.6309646e+09 1.53e-07 1.13e+04 -3.8 1.16e+01 -3.6 9.44e-01 2.07e-01f 1\n", + " 59 -1.6309711e+09 3.04e-07 1.13e+04 -3.8 3.38e+09 - 2.22e-05 2.59e-05f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60 -1.6309711e+09 2.57e-07 9.60e+03 -3.8 1.29e+01 -3.7 1.00e+00 1.54e-01f 1\n", + " 61 -1.6309842e+09 5.97e-07 9.60e+03 -3.8 3.50e+09 - 1.56e-05 4.05e-05f 1\n", + " 62 -1.6309932e+09 6.81e-07 9.60e+03 -3.8 4.45e+09 - 1.64e-05 1.92e-05f 1\n", + " 63 -1.6309997e+09 8.22e-07 9.60e+03 -3.8 4.75e+09 - 1.59e-05 2.47e-05f 1\n", + " 64 -1.6309998e+09 5.85e-10 2.64e-03 -3.8 2.58e-01 -2.0 1.00e+00 1.00e+00f 1\n", + " 65 -1.6309998e+09 6.93e-10 3.72e-01 -3.8 7.75e-01 -2.5 1.00e+00 9.17e-01f 1\n", + " 66 -1.6310042e+09 2.83e-07 3.72e-01 -3.8 3.25e+09 - 2.36e-05 3.68e-05f 1\n", + " 67 -1.6310082e+09 5.39e-07 3.72e-01 -3.8 3.54e+09 - 1.51e-05 3.50e-05f 1\n", + " 68 -1.6310109e+09 7.07e-07 3.72e-01 -3.8 3.33e+09 - 2.20e-05 2.84e-05f 1\n", + " 69 -1.6310123e+09 9.67e-07 3.72e-01 -3.8 7.99e+08 - 7.84e-05 3.53e-05f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -1.5741812e+09 8.83e+00 1.76e+06 -1.0 2.88e+02 -4.5 1.95e-01 5.00e-01f 2\n", - " 11 -1.5742405e+09 1.20e+00 2.98e+06 -1.0 4.64e+02 -5.0 1.67e-01 1.00e+00f 1\n", - " 12 -1.5758575e+09 1.61e+00 2.91e+06 -1.0 1.25e+04 - 2.49e-02 1.00e+00f 1\n", - " 13 -1.5779187e+09 3.22e-02 2.58e+06 -1.0 1.69e+04 - 1.13e-01 6.84e-01f 1\n", - " 14 -1.5835775e+09 1.34e-02 2.32e+06 -1.0 2.97e+04 - 1.00e-01 9.54e-01f 1\n", - " 15 -1.5978308e+09 4.90e-03 2.08e+06 -1.0 6.24e+04 - 1.06e-01 1.00e+00f 1\n", - " 16 -1.6303589e+09 2.75e-04 1.87e+06 -1.0 1.53e+05 - 9.86e-02 8.53e-01f 1\n", - " 17 -1.6306844e+09 2.73e-04 1.61e+06 -1.0 2.14e+05 - 1.40e-01 6.28e-03f 1\n", - " 18 -1.6306914e+09 2.64e-04 9.51e+05 -1.0 4.69e+04 - 4.10e-01 3.19e-02f 1\n", - " 19 -1.6307897e+09 3.96e-05 6.54e+05 -1.0 6.76e+04 - 3.12e-01 6.44e-01f 1\n", + " 70 -1.6310124e+09 9.00e-07 1.76e+01 -3.8 2.29e+01 -3.9 9.41e-01 6.94e-02f 1\n", + " 71 -1.6310213e+09 2.95e-05 1.74e+01 -3.8 4.91e+08 - 4.48e-05 3.55e-04f 1\n", + " 72 -1.6310214e+09 2.58e-05 3.87e+01 -3.8 2.49e+01 -4.0 1.00e+00 1.24e-01f 1\n", + " 73 -1.6310215e+09 1.81e-05 2.63e+01 -3.8 9.29e+00 -3.6 1.00e+00 2.99e-01f 1\n", + " 74 -1.6310301e+09 3.65e-04 2.44e+01 -3.8 3.15e+07 - 2.41e-04 1.23e-03f 1\n", + " 75 -1.6310316e+09 3.65e-04 2.43e+01 -3.8 3.27e+09 - 1.43e-05 4.58e-05f 1\n", + " 76 -1.6310325e+09 3.66e-04 2.43e+01 -3.8 1.46e+09 - 5.60e-05 7.21e-05f 1\n", + " 77 -1.6310329e+09 3.68e-04 2.62e+01 -3.8 9.93e+07 - 1.18e-03 8.66e-05f 1\n", + " 78 -1.6310337e+09 3.72e-04 2.60e+01 -3.8 1.63e+09 - 3.97e-06 1.17e-04f 1\n", + " 79 -1.6310337e+09 2.86e-04 5.62e+01 -3.8 7.08e-01 -1.9 7.89e-01 2.32e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20 -1.6308760e+09 6.12e-06 3.68e+05 -1.0 6.58e+04 - 4.37e-01 8.21e-01f 1\n", - " 21 -1.6309292e+09 2.98e-06 1.64e+05 -1.0 6.00e+04 - 5.55e-01 1.00e+00f 1\n", - " 22 -1.6309356e+09 1.34e-06 1.32e+05 -1.0 5.99e+04 - 1.96e-01 4.56e-01f 1\n", - " 23 -1.6309409e+09 7.57e-07 9.41e+04 -1.0 5.16e+04 - 2.85e-01 4.97e-01f 1\n", - " 24 -1.6309464e+09 2.32e-07 6.55e+04 -1.0 5.17e+04 - 3.04e-01 8.46e-01f 1\n", - " 25 -1.6309419e+09 4.16e-08 4.27e+04 -1.0 4.01e+04 - 3.49e-01 9.11e-01f 1\n", - " 26 -1.6309368e+09 1.38e-08 2.71e+04 -1.0 3.75e+04 - 3.65e-01 1.00e+00f 1\n", - " 27 -1.6309299e+09 5.02e-09 1.61e+04 -1.0 3.24e+04 - 4.05e-01 1.00e+00f 1\n", - " 28 -1.6309221e+09 1.48e-09 8.34e+03 -1.0 1.99e+04 - 4.82e-01 1.00e+00f 1\n", - " 29 -1.6309164e+09 6.35e-10 3.43e+03 -1.0 2.01e+04 - 5.89e-01 1.00e+00f 1\n", + " 80 -1.6310337e+09 2.77e-04 1.52e+01 -3.8 6.40e-01 -2.4 1.00e+00 3.18e-02f 1\n", + " 81 -1.6310337e+09 1.30e-04 7.41e+00 -3.8 1.91e+00 -2.9 1.00e+00 5.32e-01f 1\n", + " 82 -1.6310389e+09 1.51e-03 7.43e+00 -3.8 3.06e+06 - 1.47e-03 2.37e-03f 1\n", + " 83 -1.6310395e+09 1.52e-03 7.43e+00 -3.8 1.09e+09 - 1.09e-05 1.70e-04f 1\n", + " 84 -1.6310423e+09 2.77e-03 7.33e+00 -3.8 3.82e+05 - 4.71e-03 2.01e-03f 1\n", + " 85 -1.6310450e+09 4.52e-03 7.27e+00 -3.8 2.08e+05 - 4.44e-03 3.69e-03f 1\n", + " 86 -1.6310478e+09 8.31e-03 7.20e+00 -3.8 1.20e+05 - 7.70e-03 7.13e-03f 1\n", + " 87 -1.6310479e+09 8.03e-03 1.11e+02 -3.8 4.01e+01 -4.4 3.51e-01 3.35e-02f 1\n", + " 88 -1.6310479e+09 7.82e-03 9.18e+02 -3.8 5.19e+01 -4.8 1.00e+00 2.64e-02f 1\n", + " 89 -1.6310501e+09 1.10e-02 9.01e+02 -3.8 5.37e+04 - 2.14e-02 1.89e-02f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30 -1.6309105e+09 6.09e-10 3.41e+01 -1.0 1.17e+04 - 9.90e-01 1.00e+00f 1\n", - " 31 -1.6309083e+09 5.93e-10 8.19e-01 -1.0 4.00e+03 - 9.97e-01 1.00e+00f 1\n", - " 32 -1.6310468e+09 6.13e-10 6.61e+05 -2.5 1.13e+05 - 9.25e-01 9.93e-01f 1\n", - " 33 -1.6310486e+09 6.36e-10 4.06e+00 -2.5 2.83e+03 - 1.00e+00 1.00e+00f 1\n", - " 34 -1.6310486e+09 5.88e-10 4.79e-01 -2.5 3.44e+01 - 1.00e+00 1.00e+00f 1\n", - " 35 -1.6310486e+09 5.56e-10 1.13e-02 -2.5 5.29e+00 - 1.00e+00 1.00e+00f 1\n", - " 36 -1.6310507e+09 5.19e-10 1.17e+05 -3.8 3.21e+03 - 1.00e+00 5.64e-01f 1\n", - " 37 -1.6310513e+09 4.69e-10 5.31e+04 -3.8 1.39e+03 - 1.00e+00 5.46e-01f 1\n", - " 38 -1.6310516e+09 5.42e-10 1.89e+04 -3.8 6.08e+02 - 1.00e+00 6.43e-01f 1\n", - " 39 -1.6310517e+09 5.32e-10 2.78e+03 -3.8 1.72e+02 - 1.00e+00 8.53e-01f 1\n", + " 90 -1.6310506e+09 1.09e-02 8.88e+02 -3.8 2.30e+04 - 4.73e-02 1.75e-02f 1\n", + " 91 -1.6310510e+09 1.04e-02 8.53e+02 -3.8 1.04e+04 - 1.59e-01 4.45e-02f 1\n", + " 92 -1.6310511e+09 1.23e-03 1.89e+02 -3.8 1.90e+01 -3.1 1.00e+00 9.33e-01f 1\n", + " 93 -1.6310514e+09 6.62e-03 4.39e+02 -3.8 4.48e+03 - 2.58e-01 6.57e-02f 1\n", + " 94 -1.6310516e+09 2.93e-02 5.48e+02 -3.8 1.27e+03 - 3.41e-01 2.44e-01f 1\n", + " 95 -1.6310516e+09 1.32e-02 5.34e+02 -3.8 2.28e+01 -3.7 7.80e-01 5.47e-01f 1\n", + " 96 -1.6310516e+09 4.97e-03 3.02e+02 -3.8 2.51e+00 -4.1 9.84e-01 6.21e-01f 1\n", + " 97 -1.6310517e+09 1.55e-02 1.38e+02 -3.8 2.94e+02 - 1.00e+00 5.30e-01f 1\n", + " 98 -1.6310517e+09 1.27e-02 4.54e+02 -3.8 5.37e+01 - 4.79e-02 1.00e+00f 1\n", + " 99 -1.6310517e+09 3.21e-03 2.71e-03 -3.8 1.65e+01 - 1.00e+00 1.00e+00h 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40 -1.6310517e+09 5.45e-10 5.47e-02 -3.8 2.77e+01 - 1.00e+00 1.00e+00f 1\n", - " 41 -1.6310517e+09 4.97e-10 1.40e-03 -3.8 6.39e+00 - 1.00e+00 1.00e+00f 1\n", - " 42 -1.6310517e+09 5.09e-10 3.08e+03 -5.7 8.60e+01 - 5.85e-01 3.77e-01f 1\n", - " 43 -1.6310518e+09 5.31e-10 2.08e+03 -5.7 3.12e+01 - 3.37e-01 3.32e-01f 1\n", - " 44 -1.6310518e+09 6.33e-10 3.28e+03 -5.7 1.98e+01 - 4.51e-01 1.05e-01f 1\n", - " 45 -1.6310518e+09 5.33e-10 1.99e+03 -5.7 1.53e+01 - 9.80e-02 2.73e-01f 1\n", - " 46 -1.6310518e+09 4.98e-10 7.84e+02 -5.7 9.71e+00 - 2.71e-01 4.37e-01f 1\n", - " 47 -1.6310518e+09 5.06e-10 7.81e+02 -5.7 5.01e+00 - 5.83e-01 3.82e-01f 1\n", - " 48 -1.6310518e+09 4.89e-10 6.89e+02 -5.7 2.88e+00 - 9.20e-01 4.72e-01f 1\n", - " 49 -1.6310518e+09 5.72e-10 2.99e+02 -5.7 1.45e+00 - 1.00e+00 5.95e-01f 1\n", + " 100 -1.6310517e+09 2.31e-07 5.27e-05 -3.8 7.31e-02 -3.8 1.00e+00 1.00e+00h 1\n", + " 101 -1.6310517e+09 2.84e-04 9.37e+01 -5.7 8.43e+01 - 6.25e-01 3.21e-01f 1\n", + " 102 -1.6310518e+09 2.91e-04 5.13e+01 -5.7 3.64e+01 - 3.21e-01 3.77e-01f 1\n", + " 103 -1.6310518e+09 2.61e-04 8.49e+01 -5.7 2.14e+01 - 5.02e-01 1.04e-01f 1\n", + " 104 -1.6310518e+09 1.91e-04 4.97e+01 -5.7 1.68e+01 - 1.04e-01 2.72e-01f 1\n", + " 105 -1.6310518e+09 9.64e-05 2.20e+01 -5.7 1.06e+01 - 2.69e-01 4.47e-01f 1\n", + " 106 -1.6310518e+09 5.22e-05 1.72e+01 -5.7 5.44e+00 - 6.03e-01 3.84e-01f 1\n", + " 107 -1.6310518e+09 2.45e-05 5.53e+04 -5.7 1.49e+00 -4.8 1.07e-01 5.01e-01f 1\n", + " 108 -1.6310518e+09 9.80e-06 2.32e+04 -5.7 3.45e-01 -4.4 1.00e+00 5.83e-01f 1\n", + " 109 -1.6310518e+09 1.57e-06 5.72e+03 -5.7 8.84e-01 -4.9 1.00e+00 7.51e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50 -1.6310518e+09 5.27e-10 6.73e+01 -5.7 5.87e-01 - 1.00e+00 7.75e-01f 1\n", - " 51 -1.6310518e+09 5.96e-10 2.96e-06 -5.7 1.32e-01 - 1.00e+00 1.00e+00f 1\n", - " 52 -1.6310518e+09 5.05e-10 6.64e+01 -7.0 4.10e-01 - 1.00e+00 6.22e-01f 1\n", - " 53 -1.6310518e+09 6.55e-10 3.09e-06 -7.0 1.53e-01 - 1.00e+00 1.00e+00f 1\n", - " 54 -1.6310518e+09 5.51e-10 2.57e-12 -7.0 2.88e-04 - 1.00e+00 1.00e+00h 1\n", + " 110 -1.6310518e+09 1.11e-06 4.74e+03 -5.7 9.57e+00 - 8.20e-02 1.72e-01f 1\n", + " 111 -1.6310518e+09 7.41e-07 3.28e+03 -5.7 1.33e+00 - 3.81e-01 3.07e-01f 1\n", + " 112 -1.6310518e+09 1.89e-07 6.77e+02 -5.7 3.80e-01 - 1.00e+00 7.95e-01f 1\n", + " 113 -1.6310518e+09 3.31e-09 5.45e-07 -5.7 7.25e-02 - 1.00e+00 1.00e+00f 1\n", + " 114 -1.6310518e+09 1.34e-09 7.10e+01 -7.0 4.08e-01 - 1.00e+00 5.95e-01f 1\n", + " 115 -1.6310518e+09 5.95e-10 3.52e-06 -7.0 1.63e-01 - 1.00e+00 1.00e+00f 1\n", + " 116 -1.6310518e+09 7.84e-10 1.08e-12 -7.0 2.13e-04 - 1.00e+00 1.00e+00h 1\n", "\n", - "Number of Iterations....: 54\n", + "Number of Iterations....: 116\n", "\n", " (scaled) (unscaled)\n", - "Objective...............: -3.7401907403570741e+07 -1.6310517839609087e+09\n", - "Dual infeasibility......: 2.5730085157677933e-12 1.1220577829110959e-10\n", - "Constraint violation....: 1.1641532182693481e-10 5.5087978623191702e-10\n", - "Complementarity.........: 9.0916704111854490e-08 3.9647671129020865e-06\n", - "Overall NLP error.......: 9.0916704111854490e-08 3.9647671129020865e-06\n", + "Objective...............: -3.7401907403570734e+07 -1.6310517839609082e+09\n", + "Dual infeasibility......: 1.0820077830755358e-12 4.7185046094105214e-11\n", + "Constraint violation....: 1.1641532182693481e-10 7.8449113871670306e-10\n", + "Variable bound violation: 6.2884182240770248e-09 6.2884182240770248e-09\n", + "Complementarity.........: 9.0912040120645205e-08 3.9645637219065363e-06\n", + "Overall NLP error.......: 9.0912040120645205e-08 3.9645637219065363e-06\n", "\n", "\n", - "Number of objective function evaluations = 63\n", - "Number of objective gradient evaluations = 55\n", - "Number of equality constraint evaluations = 63\n", - "Number of inequality constraint evaluations = 63\n", - "Number of equality constraint Jacobian evaluations = 55\n", - "Number of inequality constraint Jacobian evaluations = 55\n", - "Number of Lagrangian Hessian evaluations = 54\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 45.865\n", - "Total CPU secs in NLP function evaluations = 18.631\n", + "Number of objective function evaluations = 120\n", + "Number of objective gradient evaluations = 117\n", + "Number of equality constraint evaluations = 120\n", + "Number of inequality constraint evaluations = 120\n", + "Number of equality constraint Jacobian evaluations = 117\n", + "Number of inequality constraint Jacobian evaluations = 117\n", + "Number of Lagrangian Hessian evaluations = 116\n", + "Total seconds in IPOPT = 370.873\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -1493,7 +1615,7 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212166, 'Number of variables': 211209, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 67.20030307769775}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212166, 'Number of variables': 211209, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 373.2809476852417}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, "execution_count": 21, @@ -1524,9 +1646,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "Optimal PEM capacity : 196.26160219185448 MW\n", - "Optimal tank capacity : 1.417908572877676e-05 kg\n", - "OPtimal turbine capacity: 9.076374619487129e-05 MW\n" + "Optimal PEM capacity : 196.2616021918545 MW\n", + "Optimal tank capacity : 1.4179083742965303e-05 kg\n", + "OPtimal turbine capacity: 9.0763746194857e-05 MW\n" ] } ], @@ -1545,7 +1667,7 @@ "outputs": [ { "data": { - "image/png": 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", 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wQlj9tkmPoEO6JM+FhDazFMUpmFUTGMeJho5BFfxGsX2BpzFK8SDGXh8Y72Hwh4AvVhV/z41ZcYxZolRzThBGEE3nDsKsbiYCvyxlkpma828Bfg1sj/lOf7+USdabsdwHrAC2wpjDKqyBYJHtLTImPQLRJaGvOQn4IfBNzHf1Drxnon74DVARjFJUZp454Gqr6D4WpHEv3mPLmrJjgtQVBIBoOjcR48DwIWA58FA0nbuxlEk+XnXZycDjpUzyY9F0bmtgcTSd+00pk/xXdVulTHIZsAwzYHSSMekRiC4JfYxmJca5p2n8nkG9CdwC3OLGrI0xCnanG7POsYruJa10GCZLJr2VI39+f+DrH3vqBXZe+9xQAC4YZ4slU7ce1s6SSW9l5zeGbxPk19fjK1az+6yRO3k/vmL1UL3RrmlUp5m+guB3H0HuPci9Auz+tumc9bF3NCvi3sCSUia5FCCazl0DHApUD1Aa2CyazilgU+BFYF2zHYVFv+lRK0gQrjAqil8BekS5HunQU4vvgypPoZIYpYpilmo9t3/NB9cug6lgJqvB2Hntc3xg6YNQ9dv6gaUPwo77UD1Z3fmNf5r2m+hr91nTOTS+zbCy2uN619Tidz5oO/UIch9B7j3IvY6BbTDmsQrLMVuzV/Mj4EbgGczzpCNLmeT6dgnQDvpFj1pFgnCFBlQ772yCeV76TJCKfk4SWWAPTLDV2VbRbfohbKc4ZO1SDlm7lLd/8bjAdZYd81OYzrDAwU8ccyyfeD4/rJ3qFVarfQF8Zp/t+cw+2ze8pja9//7AR+fMYfMjj2iqryAEuY9W7z3IvVaxkVJqYdXxXM81Guo/r6mdjX0EKAAHAjsBt0fTuXtKmeTqoAKEST/p0VjopSDcettkyIquS+iafdcUVwN/DFLVbwV1DMZnfVfglKrIdQVoq+i2ZlcSgPpKtPahhwCYutdeAEOp/sMYoNpFvfsAmB58YF2ntd5zlHPLMQlWK2zLyNnXcUDG24hwSTSdexKIAQvqNRhN5/YHvg28HaMDCtClTHLHIMK2gOhRyNSaGGv1CPpjRVd7HwM6qO6CcWjyxe8ZVMP9ooSxUdlrpnrzs6l77TXsh33ZMcd2S7zA1LuPNg6sDwG7RNO5HTA56D6NcTSo5ilMCqB7ouncTGA3GruxXgr8Bya90ZtjFdAP0aPwqTUx1uoR9If7/Gh5P9syQCm2A67A2OfXA3PRXIxiC0wy4ijGG/QINKu8OmcAn8foySlobvXK3wtcDkwBbgJOHRbrNLzfNRirh/LeywRIFAv+Jr6FmFQsNwN3WkX3tSCNCsEZlL1mau+jXQNrKZNcF03nvgLcinEzv6yUST4WTedO8s7/DJNF4fJoOudglOD0Uib5fINmXyplkje3RcAAiB51hloTY79SfR9tHlTXAV9H8zCKzYBFKG7HBKnfgSaDIo3Jm3c6it0xE8J3YBIe/xHFrmjexMQ0nYjJkHITcBDm+z0SzWatCuxn4nsfcIDX+dluzHoB80Nxs2xZLXSKUiZ5E0YJqst+VvX5GczGf0HJR9O58zFOCq9XtRPW3kyiR0L3MfszrfA+r0HhYpyQDgVme1dlgTsxK5xDgWu8LdufRLEE2BtFCZiOxrjoKq4ADqN2gFI+qYy0/15ofia+dZ6wd4KJXMekW/kfN2btgtkq4Mt+nQhCj1HxAqx+7qUxThZtR/RI6DkUUUzS4geBmUObC2pWoIbsidtgVkgVlntlb3ifa8trqQTDb4LRtb9gLBzv9Po9wE/MQPmQKnhpVS4DLnNj1gQ6H/AoCGOmlEkmutm/6JEQEo28YTeg2BS4DvgamtUN8pqM5kEbxLMWNAmvlWuAE9E43vEewDdG7bWKIHFQ7wBWWkX3OTdmbQl8FxMMebZVdJvdKkAQuo6XGuks4P1e0V3AOaVM8qWw+hQ9EjpAI29Yg2ISZnD6DXooDu9ZFLO81dMsYKVXPpoH7XLvc235aMSGBicAzaMoswGnH0G8i35W9flcjAfGDYBkZxX6lcsw+feO8F6rCf/7LHokdBeFwniwuugNW81ggtxT3ucUMK+q/NMoNkaxA8Y9fIFnDlyD4n1em8dW1amHi+KXKGaj+ACKXwCBvD/8vPjOAnYGvuTGLIWJAL4ME2OyrRuzvoXxSro7SGdCONSLQ6p1+xaGsVMpk/xk1fHZ0XSuEFZnokf9Q20c0oDp0f6YmDwHReX7fiaQAa5F8XlMyMbhAGgeQ3EtJq3YOuBkz4MPzKafl2PczG9mNA8+w3He9ad6x3ezIbN5Q/ycJM52Y9ZhmK17I8D7raJ7BoAbs/7dKrrnBOlkPNKG4NXA1ItD2iQWY/qcOW3tZ4B4NZrOHVDKJO+FocDdpjcQDIro0djoZPBqbRzSQOmR5l5Gz6T/wVHqnItZ8deWL8RkRwnS72sofozJHqGBxWjeCFI1iJPEOZgR7w28jLSePb1RnMm4J+Tg1REMSjxVh/gSkPWeRSlMctnPhdyn6FGLhBq8WodBiafqGRSzMe7rJYy+bYcihcbXYuA7QFlF9waMrby67DGMmUJoQFjBq8LYKGWSBeBd0XRuuncces4+0aOxEWLwqhA+FwAfRrMYAMWumL3R3utXsaGThBuzoj7nlRuztm10jSD0CtF07mjv/bRoOncacAJwQtVxKIgeCeOcSUODE4DmCWBSkIp+K6jzvTiNeZi8Zc9hgq52BhIYu+VZDA/aGsKNWSWMt9SbwDqr6O7pxqwReZ+sorsqiLC9TO0zpwF7uDooTPPe66VeqZ9HrD2MSY9g/OhSvWe3W689lQlTp3ZJIqENLEJxKXCld/xZjB744uckcbgbs3b3GjwemAWsxbgI3gScGyCvWMIqutV29jRwh1V0M27M2pD3qc+pfeY0UA9XB4RSJvlz7+MfS5nksNgjz1EiFNqkRzAOdKnes9sJU6cyccstG9QSepyTMLten4J5BnU38JMgFYM8g3oc+O+xSFfDaHmf+h5xVOgbLoERecLqlbWNEPQIBlSXRujR7K6JIowVxQRgEZo9YFjsVSCaSnXUAhq4zY1ZGvi5VXTnAjO9VC9YRXeFG7PquuIopU7EZMtl8uTJIYvZOV4rFoecJXrNDBg0nqr6Hka7pheJpnP7AvsBW9c8c5qOyZTey4guVbF+7dph38FeMwMGNVX2+n2MGc16FH9BsT2ap5qtHvYAtb9VdJ/xFOd2N2YVg1b0ckjNBZg2bVqYzwc6Rq3Jr9fMgEHiqerJ22v30YDJmPRCGzH8OdRq4FNdkSg4okse9cx9vWYGDGKq7If7aBOzgMdQLMBs3GnQHOJXMdQByiq6z3jvK92YdQOwN/CsG7NmeTO+6rxPfUUrq4jNjzyi53bGrbeia2Sm7MV7CEopk7wLuCuazl1eyiSXdVueZhhkXapeRQTRo0kzZjBpxoyeMgPWroTq6tLs4XV68T5C4uxWK/qlOpqBSYWxM+AA/2sV3UAxI27MmgZMsIruGu/zhzHBipW8TxmG533qG/p8FTFEr6/oQuSX0XTu8FIm+U+AaDq3OXBNKZP8SBidjUWPvPoDq0u1q4V+/A7WW/H0432EhuYuFBHMpEoDD6EpB6nqt4K6AuMOeAkwB/ghwSPuZwI3uDGr0s9VVtG9xY1ZDwHXujFreN6nPqKfVxHVDMp9tMBWlcEJoJRJroqmc+GkJTCMRY9ggHWp7iqizxiEewgVxQnAt4A/Ybz4LkFxDprL/Kr6DVARq+hWPI9udWNW4B1HraK7FHhXnfIXGC3vkyB0hvXRdG77Uib5FEA0nXs74cZBtaxHILok9D3/CbwbzQsAKLYE7oOxD1DKjVmbsyHB4MTqY6vovtiqxILQRf4buDeazt3lHb8fz8stJESPhPHMckyQeYU1wNNBKvoNUG/BmCaqM+BWZn8a2DGggILQM5QyyVui6dx7gPdhvtv/Ucokw0zaKnokjGf+ATyIYh7m+34osACFCfXQo8dH+WWSiLZPRkFojWg6dxBwMSZW6ZelTDJT55rZwA8wOb6eL2WSH/Bp9k2M19smwO7RdI5SJhnKfkyiR8I45+/eq0LFmadeyrFh+HnxNYyst4puU7Z0QWiWaDo3Efgx8CGMqeChaDp3YymTfLzqmrdiUqccVMokn/JzeIimcydgNk/bFihgVlL3AweGcQ+iR8K4RofkZg4sBB7DJLeE4SYKTUgKLQwGtbFiG1sxImee2WwzewNLSpnkUoBoOncNxkTweNU1nwGurzg9lDJJv3igU4G9gAdKmWQims7FGEOsRgBEj4SWqY2xgpZ1qe/wG6C+DnwSs9voNcANVtF9OXSpuky/pvLpJdoYA7INwx+oLgf2qblmV2BSNJ27E2M2uLiUSTby+X2tlEm+Fk3niKZzG5cyyWI0ndutXQLXYVzqEQz/cR24ND4dYACzSjSF3zOoi4CL3Ji1A3AUcIcbs5YB51lFt9CobrcZbcv1auoNPIMShNttmoyx2kgptbDqeK6Xngfqb1Fd6xK+EWbzsw8CU4D7o+ncA6VM8olR+lvumQV/D9weTedWAc8EFbZZ+lmPIJgu1Rt8an9cBzSNT6iM9xirQKmOrKL7pBuz5mGU/xjMjLWnFateLqxa6g084zh4tZus01rvOcq55cB2VcfbMnIwWY5xjHgFeCWazt2NiRuqO0CVMsnKLrbfjqZzeYyX3S2tCh+UftQjCKZL9QafET+us0MUUuhdFFsDX8DsW7ZhzNEc71fVz0liR+DTGJv/0xjzRNC9a7qObH8xEDwE7BJN53bAuKt+GvPMqZp5wI+i6dxGmISw+wAX1Wssms5NAP5ayiT3gKH8fKHS73oEAXRpdsdEEfqPecA9wB8x3rOBabjlO7AEOAIzu7wf2B74shuzTnNjVmhbZAtChVImuQ74CnArZoO/a0uZ5GPRdO6kaDp3kneNi/mO/hVYgHFFf3SU9tYDf4mmc9t35AYMokfCeGYqmtPRXIvmuqFXAPxMfOewwd6/ac25nkvb38t7LQmtU8okb8LsPFtd9rOa4/OB8wM2OQt4LJrODUv/X8okfdP/t0hf6RE0n2FcEBowH8XB6OE6HAQ/J4lvj3bOjVlfa7azMBnHmbmFgHgee68Trkv5CPpJj2AwMowLPcWpwJko/gX8C+P4pNFM96s4lv2gTsNE7vcE4twgBOB+zLbuJ5QyyWO6LYxHT+kRiOeY0Ga0f8aI0RjLAFXP/VcQepnJ0XQuBewXTec+UXuylEle3wWZRI+EwUahgM8CO6D5DortgFloFvhVHcsA1ZO2c0FowEkYRXkr8LGacxroxgAleiQMOj8B1mMypnwHeBmTvmwvv4p+buZrqK9AChPL0ajudpiN2iKecHOtonuxG7O+jfGJr6R9OdMquk0/PBOEZillkvdittlYWMokL+1Uv2PRI6++6JLQz+yD5j0oHgFAswrF5CAV/ZwkWrYdAuuAr1tF92E3Zm0GLHJj1u3euYusovv9MbQ9rqhNvVTvvHhZBaeTgxOMWY9AdKlt1MtrV42kYwqFN1BMpDJJM4G764NU9IuDahmr6K6oZGm2iu4aTAzLNmH1N6hMnzPHd/ARL6vBRnSpPUzcckvfwWfg0zEpDkKxGMUSFOkO9fpD4AZgBopzgXuB84JUHMszqMC4MSsKvBt4ENgf+Iobs47FZHn+ulV0V3VCjn5EvBOFakSXWieQd+LsjonTecwqZtjWNShuRA/bGaD9aH6DYhEmV6YCDkPjBqka+gDlxqxNgeuAr1lFd7Ubs36KeVCmvfcLYGROJqXUiXjbcE+eHMhcKQiBiKZzd5QyyQ/6lfUaoejS1xiZDbAAxFsQsMDwH/h67QS5xq/t0erUtl3vfLN9BaGZv1ez99Hq/6I+ewNL0CwFQFFv65r2o9gCszno1VVlk9C84VtV6/CciNyYNQmYD9xqFd0R2/p6s8H5VtHdo1E7Sqn1mK0KqtkIY5vvN/pR7rBlnqK1Ds3cXCGazm0CTAXymJ+Aiov3dODmUiZphS1Dq4gujaAfZYZw5Z4CVG9+Wb0rACg+BRyE5gTv+BiMA8NXQpKn0m8Jk/B5FUbn3gqswAxaX0CzaLSqoa2g3JilgEsBt1qh3Jg1yyq6K7zDj4l/FDoAACAASURBVAN1c6ZVU+/HSym1sEEG7J6lH+XuR5lH4YuYNcPbGK7IqzGmj55EdGkk/SgzdF3uIFvXhMEtwA1obvWk+DBwEHAtxgW9dn+3IcI08e2P2VLAcWNWxYhwJnCUG7PimD9MCfOjIQihU8okLwYujqZzXy1lkpd0W54mEF0S2kGQrWvCYE80Jw0daW5DcR6a01Bs3KhiaAOUVXTvpf6ILXEaQleIpnMHljLJPwH/6KFMEr6ILglt4iFgFxSNtq4JgxdRnI7ZZgbgSGCV57TR0N28I158ITHX/5KepB/l7keZ6/EB4E+MzCIB3csk0Qv04/+3H2WGbsqtWYca2rpmInAZmsc60PNngLMwO1grjJv5ZzwZGrooh+okIQiCIAgAKKYD69G8HLRKP6+gBKEpoulcw80BS5nkCO84QRDGiMLGpOrawjt+Hkih/Z16ZIASxhNjTTkkCELz/Bw4DU0eAMVsjKlzP7+KfWniU0odBFyMsWH+Umud6bJII1BKXQbMAVZqrffwyrYAfgtEMV5XR2iteybyXyk1Iimp1vriXpdbaI1+0CMQXep7FH9B8y7fsnpV+22AUkpNBJ6gOl0HHKW1DjcaukmUUu/HpJW/okqpvge8qLXOKKXSwOZa69O7KWc1SqlZwCyt9cNKqc2ARcBhwOfoYbmbJZrO7Yj5YX4fxjnifuA/Spnk0q4K1kH6RY9AdKnvUdyAiTu80is5GuN6fphf1dCj90Ngb2CJ1nqp1vpfMJSuo6fQWt8NvFhTfCiQ9T5nwf8f1Em01iu01g97n6uTkva03C1wFSZIcBYmaPd3VKdhGR/0hR6B6NIAcDywNcZL9npgK+C4IBX78RnUNsDTVcfLaRCJ3GPM1FqvAPMFVkrN6LZAo6GUirIhKWnfyB0QVcokr6w6/nU0nQs33Uvv0c96BH30nRxwXWqMiXX6HZp/b6V6Pw5Q3UrXMW5QSg0lJdVar1Zq4HYlz0fTuTRm1aAxgYO5aDq3BUApk6ydrQ8iokcdYBzoUmM0b6JYi+ItaF5qtno/DlDdStfRDp5VSs3yZk6zMMkSewql1CSMQv1Ga10JXO15uZvkSO+9NjXQ8Zgf6R07K05X6Gc9gj74To4TXQrCa4CD4nbglaFSzSl+FftxgHoI2EUp1el0He3gRiAFZLz3ed0VZzjKTO8uBVytdXVMUE/L3SylTHKHbsvQA/SzHkGPfyfHiy4FJOe9mqbvvPgAlFIHAz/AS9ehtT63yyKNQCl1NWZLh62AZ9mQ6uNaYHvgKeBwrXXPmJOUUgcA9wAOG3JknYmxnfes3EGJpnN7AU+XMsmyd3ws8ElgGfDtcWLaG6If9AhEl8YzfTlACUIrRNO5h4F/L2WSL0bTufdjnkF9FbMlnFXKJD/VVQEFYZBQODR6rql5p18T/WjiE4RWmVi1SjoSmFvKJK8Droumc7X7ygqCMDbmeO8ne+8Vz9nPAmuDNNCPcVCC0CoTo+lcZVL2QUxm8woyWROEdqJZhmYZsD+a/0LjeK808JEgTcgAJYwnrgbuiqZz8zDbnt8DEE3ndobmXWAFQQjENBQHDB0p9gOmBakos0Zh3FDKJM+NpnN3YDJI3FbKJCv28QmYZ1GCILSfzwOXoXgL5pnUS5iQDl/ESUIQBEEID8VEL2B3OqCaCdgVE98YUEq9VSn15arjtyml/i+kvg5TSn3L+3y5UsrX40wpNVkpdbdSSlbKQs8iejTwLEFxPrBNs9kkZIAaG28FhhRLa/2M1josV+X/An4S9GKl1EQvCegdbMicIAi9iOjRYPNOTOb8S1E8gOJEbzXliwxQYyMD7KSUKiilzldKRZVSjwIopT6nlPq9UuoPSqknlVJfUUqdppR6RCn1gLcvDEqpnZRStyilFiml7lFKxWo7UUrtCryutX6+qvj9Sqn7lFJLK7NApdRspVReKXUVJkAQTEDjZ8P8IwjCGBE9GmQ0a9D8As1+mAnCWcAKFFkUOzeuq7W8WnxhNh17tN4xZt+XJZhdXLfGPBg8yTt3ESZ5JJiZ2S7e532AP9Xp5zjggqrjyzFbREwAdsdsmwAm2v4VYIeqaycCz3X7byUveY32Ej0a8Bd6okYfotE3aPQjGn2aRs/U6E9p9BON6opNNVzy2uwFs0Yp9RLwB6/cAd7pZTreD/hdVZbjjeu0Mwt4rqbs91rr9cDjSqmZVeULtNZPVg601m8qpf6llNrMk0UQ+g3Ro/7mb0AeOB/NfVXl/4fi/Y0qygAVLq9XfV5fdbwe87efAPxTax33aedV4C0N2q7O4f8KI9kYk1FYEPoR0aP+5p1oXq57xiejuQxQY2MNxvTQEtrsD/OkUupwrfXvvAzI79Ra/6XmUhezTXLTKKW2xJgm3mhVTkEIGdGjQURxCZVcfPV3H/PdbkOcJMaA1voF4M9KqUeVUue32Mxngc8rpf4CPEb9bbfvBt6tWtvtLAHc1KJsghA6okcDy0Jgkfc6pOpz5eWLBOr2CUqpi4E/aK3/2GS964EztNaLw5FMEPoH0aMuoXgEzbubrSYrqP7hPGBqMxWUUpMxD4FFqQTBIHrUHVpaCckKShDqYGftGcD+wNswD9cfBRY6KWd9w4qCIIxE8TCa9zRdTQYoQdiAnbUTQBrYAngEWAlsAuwK7AT8H3CBk3JWd01IQegHFGvYsHKayoY9oBSg0f7ZJMSLTxCGczDwBSflPFV7ws7aG2E2YfsQcF2nBROEbhLJFzbBfP//jeGWhVw5EX9sRAXdumdmBVlBCUINdtaeAHzKSTnXdlsWQegFIvnCtzGeeHdivPOqLQsJ7/PXy4n4X9vZr6ygBKEGJ+Wst7P2VwEZoATB8FA5Ef/2KOcujOQLM4Dt292prKAEoQ521v5/GBPGb6nKKuCknBe7JpQgdJFIvjARyJQT8f/sVJ/iZi4I9TkeOBkT3FkJLFzYVYkEoYuUE/E3gfdG8oVWAp1bQlZQgiAIQiAi+cIFwC6YLPBDloVyIn59GP3JMyhBGAU7a++H2fphSE+clHNF1wQShO6zBfACcGBVmQZCGaBkBSUIdbCz9pWYuKcC8KZXrJ2U45vgUhCE9iArKEGoz57A7k7KkRmcIHhE8oWtgS9QY1koJ+LHh9GfDFCCUJ9HgQiwotuCCEIPMQ+4B/gjGywLoSEmPkGows7af8DY1DcD4sACqja1c1LOIV0STRC6TiRfKJQTcb+NIduGrKAEYTjf77YAgtDDzI/kCweXE/GO7I0lKyhBqMLO2rcCtwA3Oymn2G15BKEXiOQLlcSvCpiGsSq84R3rciLum/i1FWSAEoQq7KwdAQ7yXrsCD2IGrDuclPNyN2UThG4RyRcmlRPxjm93LwOUIIyClzR2H+CjwAcxqY9uc1LO97oqmCB0mEi+sBBYjpms3VJOxEud6FcGKEEIiJ21twI+4qSc33RbFkHoNJF84e2YydpBwDbAvcDNwF3lRPz1RnVbRQYoQaiDnbUvYeQ21S9hdtWd1wWRBKFniOQLkzD7Qh0EzAaeKyfiyXb3IwOUINTBztpzgRgm5xjAJ4HHgO2ApU7K+Vq3ZBOEXiOSL2xTTsT/0e52xc1cEOqzM3Cgk3LWAdhZ+6fAbZjddJ1uCiYI3SKSLziMYlmI5Av/U07EX2hnf7LdhiDUZxuMO22FacDbnJTzJlWBu4IwzrgZyAGf9V5/wGSWKAOXt7szWUEJQn2+BxTsrH0nJtbj/cB5dtaehknzIgjjkf3Lifj+VcdOJF/4czkR3z+SLxzd7s5kgBKEOjgp51I7a98E7I0ZoM50Us4z3umO7SgqCD3GppF8YZ9yIv4gQCRf2BvY1Du3rt2diZOEINTBztrnOCnnW1XHE4ArnZTz2S6KJQhdJZIv7AVcxoZBaQ1wAsaBKFlOxK9tZ3/yDEoQ6rO9nbXPALCz9sbA74G/dVckQeg6fy0n4jYmkfK7y4n4O4El5UT8lXYPTiArKEGoi521FfAbjMdeApOb76LuSiUI3SWSL+SAQ8uJ+DrvOALkyon4e8PoTwYoQajCztrvqTqcBPwc+DNwKYCTch7uhlyC0AtE8oUvAElMXOB2wI3AN8qJ+G1h9CdOEkJfYGfticBC4B9OypljZ+0tgN9idvYsAUc4KWeVd+0ZwOcxG6qd4qScW73y92JcYacANwGn1tkx94Ka41XA7l65Bg5s970JQieI5AuXAXOAleVEfA+vbIQelRPxVaO1UU7EfxHJFyZjTN5R4IvlRPy+sGSWAUroF04FXKCS1j+NyTCesbN22js+3c7auwOfBt4BvA34o521d/Xil34KnAg8gBmgDsLEdQzhpJxEJ25GELrA5cCPgCuqytLAHeVEPBPJF4b0qLZiJF84repQYVZPBeB9kXzhfeVE/MIwBBYnCaHnsbP2thizwi+rig8Fst7nLHBYVfk1Tsp53Uk5TwJLgL3trD0LmO6knPu9VdMVVXWq+zrae/40miw72Vn7gDHflCB0mHIifjfwYk3xaHpUy2ZVr02BGzC6VSkLhb5YQU2YMEFPmTKl22IIIbF27VoNVD/bmau1nlt1/APgvxiuCDOdlLMCwEk5K+ysPcMr3wazQqqw3Ct7w/tcW17LlpgA3UXAIuA5YBNM6qMPAM9jZpl9iejS4BJAj+oxs5yIrwAoJ+IrIvnCjHoXlRPxs9skZlP0xQA1ZcoUXnnllW6LIYSEUupVrfWe9c7ZWXsOsNJJOYvsrD07SHN1ynSD8mE4KediO2v/CPOsaX/gnZh9oFzgGCflPBVAhp5FdGlwaaRHYyWSL8wFflhOxB+tc24acCTwejkRb+tWNH0xQAnjmv2BQ+ysfTBmJTPdztq/Bp61s/Ysb/U0C1jpXb8cYx+vsC3wjFe+bZ3yEXjPq273XoIwyDwbyRdmeaunaj2q5SfAtyL5gg08ygbLwi6Y58KXYcIy2ooMUEJDVv32WlbPnz+sbPqcOWx+5BEd6d9JOWcAlYDZ2cA3nJRztJ21zwdSQMZ7r+zRdCNwlZ21L8Q4SewCLHBSzpt21l5jZ+33YbZxPxa4pCM3IQh0X5dG4Ubq69Ewyol4ATgiki9sCuwJzMKzLJQT8cVhCScDlNCQ1fPn81qxyCaxGACvFYsA3VYqMAp1rZ21Pw88BRwO4KScx+ysfS3wOCY32MneigjgS2xwM7+ZGg8+QQiTbutSJF+4GrO54FaRfGE5cBaeHkXyhWF6NBrlRPxl4M5wJd1AXwTqTps2TYvdvDssO+ZYAN5+5RV1j9uBUmqt1nqa/5XCWBFd6h5h69Ig6pGsoAShDnbWngmch9kD6qNefNW+Tsq5tMuiCcK4wXeAcmPWvsDRmP3nK3bHRzGbVv3aKrovhSphQH73xO+4aelNTdc7eMeDOXzXDava0dqpvi5oX0Harr2mllb7CkKQtl9779+YXd6cL3rHt2zzPHdGVrHJLcc17L9e27EtYpy+94gYwF7lcuBXwH97x09gIu5bGqD6RY8EIQiRfGFaOREPfSneMFDXjVk3Y1Kp34qJup+FSfvyTYwHxzw3Zh0StpBBuGnpTSx+sblndYtfXDziR7ReO7XXBekrSNv1rqml1b6CEKTtJzd9lTsjGzKf3BlZxZObvurbfyv/jx5jKyflXAusB/C2fn+zcZX69JMeCUIjIvnCfpF84XFM2AWRfOFdkXzhJ2H157eCOsYqus/XlL2MCQZ7GLjAjVlbhSJZC+y2xW786qBfBb7+uJpVwGjt1LvOr68gbY92Tbv6akfbR/1g3xFlO7w8xffvE6TtHucVO2tviRcr5Xn/tbrK6Ss9EoQGXAR8BOP9RzkR/0skX3h/WJ01XEHVUaqWrhGEPuQ0jBLuZGftP2NSI321lYZEj4RBopyIP11T1JJlIQiBnCTcmPUJ4LvADExEvgK0VXSnN6woCH2Kk3IetrP2B4DdMN/3xU7KeWMsbYoeCQPA05F8YT9Ae1nNT8Ez94VBUC++7wEfs4puaIII4VIvSPC19/6NjbbYsksS9QV7Y7YU2Ah4j521cVLOWHyCRY8GgB4NuO0UJwEXY/JYLgduA04Oq7OgA9SzolT9TW2QIMD6tWtZ10WZehk7a18J7ITZUqBiwqhkQW8V0aMBoNsBt92knIg/D3y2U/01HKA8kwTAQjdm/RazSdXrlfNW0b0+RNmENrNJLDYsKHBCHQcIYYg9gd3rbGjYNKJHg0e1LlUCbscDkXxha+ALbLAsAFBOxI8Poz+/FdTHqj6vBT5cdawBUSxhUHkUiAAr2tCW6JEwKMwD7gH+SIjOERX8BqjTrKI76va/gjDAbAU8bmftBVStdpyU00q8kuiRMChMLSfiHYu29xugFrsx6zngPuDPwH1W0X0ifLEEoet8u41tiR4Jg8L8SL5wcDkRbz4zQAs0HKCsojvDjVm7Avt5r2+4MWtrzI6lf7aK7vc6IKPQArWeRrUOEkJjnJRzV7vaEj3qX+p6v45vXToVODOSL7yO2aVaAbqciIcSKuHrxefN9J4ALndj1k7AwZ6QH8a4zQo9SK2n0SaxGNPnzOmyVL2PnbXvdVLOAXbWXsPwHXcVoJ2U05Iiih71J/W8X8ezLpUT8c062Z+fF19lxrcvZpfSpZhZ39GYFC1CD1PrtSf446ScA7z3timi6FF/I3oEkXwhVk7Ei5F84T31zpcT8VC+x34rqHsxCnQh8Hur6K4N2rAbs3bDZH+usCPwLeCtGDfF57zyM62i2xF7ZqusW/kc6158gWW/Me6kEuA6uNhZe4tG552U82ILzbasRzA4ulTPXAbjKsi1nzkNOBG4oM45DRwYRqd+A9Tb2GA3P8mNWRthFO1+4H6r6C4draJVdBcDcQA3Zk0E/gHcABwHXGQV3e+PXfzOsO7FF1i/dsNvigS4DjSLMAqn6pzTmMGhWVrWIxgcXapnLhtPQa79TDkRP9F7T3SyXz8niTImRuN6ADdmTQWOB84GdgAmBuzng8DfraK7zI1ZrUvbRSZMnTq0zJcA18HFSTk7tLvNNuoR9Lku1ZrLxlOQ6yAQyRc2Ab4MHICZsN0D/KyciL8WRn9+z6DegrGbV2Z/7waWAH/AuMsG5dPA1VXHX3Fj1rHAQuDrEiMi9Bp21laYlC47OCnnO3bW3h6IOClnQbNttVGPQHRJ6C5XAGuAS7zjo4ArgeZ2Sw2In4lvCeZh7n3Ad4AFVtF9tXGV4bgxazJwCHCGV/RTry3tvV+AmU0OQyl1IsbmyeTJk5vpUhDawU8wmxUeiPmergGuA/Zqoa0x6xGILgk9wW7lRPxdVcf5SL7wl7A68zPxbd2GPj4KPGwV3We9Np+tnHBj1i+AkU9NAa31XGAuwLRp04blQyufdx6vu8Vh14vjgtBm9nFSznvsrP0IgJNyVtlZu6Vf9zbpEXRIl0AcF4RReSSSL7yvnIg/ABDJF/aheStAYPxMfDc2Om8V3SBpX46iyiThxqxZVtGt5Df7OCbn2ZgRxwWhzbxhZ+2JbNhRd2u87d+bpU16BB3SJXFcEGqJ5AsORhcmAcdG8oWnvOO3A4+H1a+fiW9f4GmMUjxIfc+mUfEeBn8I+GJV8ffcmBXH3Fyp5lwgImeeOaJMHBeENvNDjKfcTDtrnwt8Cvhmi22NSY+gs7okjgtCHboSmew3QEUwSnEU8BkgB1xtFd3HgjTuxXtsWVN2TAtyCkJHcVLOb+ysvQjjNQdwmJNyWt3LaUx6BKJLQncpJ+LLIvnCBOCv5UR8j0716/cM6k3gFuAWN2ZtjFGwO92YdY5VdC9pVLcfqA3ABXmWJQxjKsYFXANTWm1k0PUIJAh3PFBOxNdH8oW/RPKF7cuJ+FOd6NM3F5+nUEmMUkUxpo+B2L+mNgAX5FmWYLCz9rcwrrPXYUxyv7Kz9u+clPM/rbQ3yHoEEoQ7jpgFPBbJFxYAr1QKy4l4K9vQ+OLnJJEF9gBuBs62im5bHsL2EtUBuND9Z1kjspDLiq5bHAW820k5rwHYWTuDyf7Q9AA1HvQIeisIV1Z0oXF2JzvzW0EdgxkldwVOqYpcV4C2im4oKdbHC/VMjGsfegiAqXuZcJt+WNENqKm0BGwCVCLkNwb+3mJbokchUzsg1eoR9MeKrt7A2s5BNZIvlDAxfW8C68qJ+J7N1C8n4m3bhiYIfs+gJnRKkPFIPRPj1L32GvaF7PaKLggDaip9HXjMztq3Y55BfQi4187aPwRwUs4pQRsSPQqfWhNjrR5Bf3gn1t5HSINqopyIP99KxUi+UL0NzWSM2/krXdkPyo1ZCzFBWDcDd1pFN5R8S+OZWhNjvxKWqdTO2tth0qtEMHFIc52Uc7GXdfy3mOc5JeAIJ+Ws8uqcAXweM0s8xUk5t3rl7wUuxzg83ASc6qScYYGrVdzgvSrc2eo9iB51hkHZFqP6PnptUK3dDyqSLxwG7B1Wf34mvvdhkgIeBJztxqwXgFuBm2XLaqFDrAO+7qSch+2svRmwyFvVfA64w0k5GTtrp4E0cLqdtXfH5Kt7ByaL+B/trL2rk3LexKQGOhGTdugmzPf65nqdOikn28Z7ED0SOsFGSqmFVcdzvSwi1Wjgtki+oIGflxPx2vNNUU7Efx/JF9JjaaMRfia+dZiZ451gItcx6Vb+x41Zu2C2CvhyWMIJgpNyVgArvM9r7KztAtsAhwKzvcuymO/o6V75NU7KeR140s7aS4C97axdAqY7Ked+ADtrXwEcRs0AZWfta52Uc4SdtSuR87XyvLPZexA9EjrEOq213zOl/cuJ+DORfGEGcHskXyiWE/G7g3YQyRc+UXU4AdiTOnrSLnzdzKvx0qpcBlzmxqwJmAh5QRgrQWZ+2Fk7iskE/iAw0xu8cFLOCjtrz/Au2wazQqqw3Ct7w/tcW17Lqd57aJHzokdCtygn4s947ysj+cINGPNc4AEK+FjV53UY8/qhbROwhiBxUO8AVlpF9zk3Zm0JfBfYFOMuG1qSQGFc4Tvzs7P2ppiYpK85KWe1nbVHu3S0jQZHKx9G1aC3zM7aEYwCa+AhJ+WUG8nYCNEjodtE8oVpwIRyIr7G+/xh4Jwmm/llOREf9n2N5Av7AyvbJOYwgngX/azq87lAGfPw+FdhCCQItdhZexJmcPqNk3Iqwa3P2ll7lnd+FhsUZDmwXVX1bYFnvPJt65SP1ucJwALgE5g8fA/YWXvEVhZNIHokdJuZwL3e9hgLgFw5Eb+lyTbqZT4JLRuKnxffWcDOwJfcmKUwGZMvA2LAtm7M+hbGK6mZJaLQZurGIdVE9fcr3saBlwKuk3IurDp1I5ACMt77vKryq+ysfSHGSWIXYIGTct60s/YaO2u/D2MiPJbGivWfmEDdFzw5tsTs53RZs/cgetQ/jAiUHxA9Aign4kuBd/leWIdIvlDZcHPrSL5wWtWp6TS3I3RT+DlJnO3GrMOAqzBuvu+3iu4ZAG7M+ner6Da7PBRCoF4c0iaxGNPndCUBcbvZHxPo6thZu+CVnYkZmK61s/bngafwdvR0Us5jdta+FrMFwDrgZM+DD+BLbHAzv5lRPPg8lmMCGiuswWQkbxrRo/6hNg5pgPRorEzGmKQ3AqpdzVdjLAyhEMRJ4hzMQ7Q3MO67FXt6S4Fe44VOZ1cYlHiqWpyUcy+jb0/xwXqFTso5F2NGqy1fiEk5FIR/AA/aWXse5hnUocACO2uf5rV1YaPKdRA9apGwsyvUMijxVO3EyyBxVyRfuLyciC/rVL++A5RVdGsDFvG2Cfh4WEINAgOaXWE88XeGpzaqmBA3q3OtL6JHrdOh7ApCADo5OIH/M6ioVXRLDc4rYBur6C4f7ZrxTK8lohWC46SctiXFFD0aO72cXUEID78V1PlenMY8YBHwHCaB5s5AAmNiOYvh8SVDuDGrRFViQqvo7unGrBEpaqyiu2qsN9Jtas0Q6621TJg6tYsSCT3EmPQIxo8u1TPnDZKjgtAcDd3MraJ7OPD/gN2AHwP3YJTsBGAxcKBVdG/36SNhFd24VXQrcS5p4A6r6O4C3OEd9z0VM0SFCVOn9ns2b6FNtEmPYBzoUq0egTgq9BKRfGHbSL5wQyRfeC6SLzwbyReui+QL2/rXbI0gz6AeB/67jX2OlqKm76k2Q2xyy3FdlkboJULQIxhQXRInhZ7mVxhv1MO946O9sg+F0VlTqY5aQAO3uTFLAz+3iu5cYKaX6gWr6K5wY9aMhi0IHaOeeWW8mirtrL0tJk7qAEwW9Xsx2c+79ZxIdKmPGGBT5dblRLw6uPzySL7wtbA6C3uA2t8qus94inO7G7OKvjU8lFInYjJPM3ny5LDk6zjr164desjbaz/+9bbtrmeqrL4H6L37aBMdnSkGQHSpiteKxWHfwV778a+nS/VMlb1+H3V4PpIvHA1c7R0fBbwQVmehDlBW0X3Ge1/pxqxKYsJn3Zg1y5vxVaeoGYaXLHQuwLRp00LLltsqtT/SQb5YG22x5TA38158TlVrXqk1VdbeA/TmfbSBrZ2UM2ymaGft0GaKfgyyLlX/SAfRo3rPo3rxOZWfqbJf7qOG44EfARdhVvX3AaE9z/BzM5+BidrfGXCA/7WK7uogDbsxaxowwSq6a7zPlcSEo6Wo6Rvq/UgH+WJtNGNrNpqxNW//mvnd64XnVNUDbaBBtuYeoDfuIwSet7N2W2aKY9Ejr/7A6lKtzgTRo82PPKLnYqBaWQn14n0EYLtyIn5IdYGXLPapMDrzW0FdgXGLvQSz/cAPMRvFBWEmcIMbsyr9XGUV3VvcmPUQcK0bs4alqOkn6v1I9yO1A20fzN46STtnimPRIxhgXerTH+lh9OlKqFUuAd4ToKwt+A1QEavoVjyPbnVj1sNBG7aKbt3EhFbRfYFRUtQInWVQBtqQ2M5JOcNminbWbnWm2LIegehSrzMIg6wfPZksFlBuzNqcDbnQJlYfW0X3xbAEE4Qu086ZouiRy+s0vQAADs9JREFU0O/0ZLLYt2BME9XJOiuzPw3sGIZQgtAt7Kw9NFOsJIb1GMtMUfRI6Gt6MlmsVXSjHZJDEHqFts8URY+EQaHXksU2NGdYRbcpW7og9DpOyrkLuMvO2pc7Kactyih6JAit4WfiWwg8hkluCcNNFBo4MAyhhMGgNlZsYytG5MwzuyhRcNo1OHmIHgktU+vCDv2lS2PBb4D6OvBJ4FXgGuAGq+i+HLpUXWacZEoIlXqxYuOYcalH0HwQrjCcXnNVj+QLWwNfwGTQHxo/yon48WH05/cM6iLgIjdm7YAJVLzDjVnLgPOsoltoVLdfGUeZEkJFXNg3MB71CFoLwhWG04Mu7PMw2fj/iNn6JVQCpTqyiu6TbsyaB0wBjgF2BXpaseola6yl3spoHGVKEBpgZ+26M0Un5bQ8U+xHPYJgulRvddSDP67C2JlaTsQ7ljHfz0liR+DTmLT+T2PME+daRfe1Dsg2Juola6xFVkZCA9o2U+xnPYJguiSro3HD/Ei+cHA5Eb+pE535raCWAH/FKOtqYHvgy17KFayie2Go0o0Rv2SNsjISGjDVSTntmin2tR6B7NEkDHEqcGYkX/gX8C+Mw48uJ+LTw+jMb4A6B+NlBCY2pJqey4osCG1kvp21D3ZSTjtmiqJHwkBQTsQ387+qffg5SXx7tHNuzOra1gOj0WxmbkFowKnAmXbWHjZTdFJO0zPFftMjEO87oT6RfEEBnwV2KCfi34nkC9sBs8qJ+IIw+hvLflCnAT9olyBjRTJzC+3ESTmdmin2lB6BeN8JDfkJZofpA4HvAC8DPwb2CqOzsQxQyv+SziFuzUI7sbP20EzRSTnfsbP2dsAsJ+W0e6bYU3oE4n0nNGSfciL+nki+8AhAORFfFckXQtumeSwDlNjOhUGmUzNF0SOhY0TyhYOAizGJj39ZTsQzTTbxRiRfmIj3vfUCd9e3V8oN+LmZr6G+AilMLIcgDCr7OCnnPXbWfgTASTmr7Kzd0kxR9EjoBbyB5cfAh4DlwEORfOHGciL+eBPN/BC4AZgRyRfOxSRQ/mbbhfXwc5Jo2Q7vxqztMDuJRjAj7Fyr6F7sxqxvYwIgK3nJzrSKbkd86vuV2tRLI85LKqYweMPO2kMzRS9wt6WZ4lj0CMLVpf/3t+U8+vKrYxGvb3j9o4ezfu1aJlz1h1GvWf+BJBOmTmXjR/7WQcmaZ49Np/CdXbZtttrewJJyIr4UIJIvXIOJzQs8QJUT8d9E8oVFmI0yFXBYORF3mxUkKGMx8fmxDvi6VXQfdmPWZsAiN2bd7p27yCq63w+x74EhSE67QQ84trP2MLOEk3KaNUu0wtBM0c7aoc8UfRBdagMTt/TXkQlTpwa6rkfZSCm1sOp4rtZ6btXxNphA8QrLgX2a6SCSL2wBrASuriqbVE7E32hBXl9CG6CsorsCWOF9XuPGLBfzBxKaIIjzxyAHHHurmGFmCTtr3+iknGbMEk3jpJzf2Fl72EzRSTmhzRQbEaYutTAL72N26bYAYbNOa71ng/P1HHKafQb6MLAdsMpr763Aiki+sBL4QjkRX9Rkew2Z0M7GRsONWVHg3cCDXtFX3Jj1VzdmXeZtfT0CpdSJSqmFSqmF69ZJXuxxzN7AEiflLHVSzr8waYIODbtTO2tXzxSvAp61s/aksPv1Q3RJGAPLMYNLhW2BZ5ps4xbg4HIivlU5Ed8S+ChwLfBljGNRWwnTxAeAG7M2Ba4DvmYV3dVuzPopxitKe+8XACMScHpL07kA06ZNGzbKf3fBdym+WBx2/eIXF7PbFrs1Ld/iFxdzXNUKZLR2qq8L2leQtmuvqddGK30FoZW2g/x9mmk7AGM2S7RI3ZminbVXAl9wUk5bZ4pBCEOXhHHFQ8AukXxhB+AfmPyQn2myjT3LifhJlYNyIn5bJF84r5yInxbJFzZuo6wAKK3D+766MWsSMB+4tV6+MW82ON8quns0akcptR6zl041G0FfbjnUj3KHLfMUzIBQYch2bmftw4GPOCnnBO/4GGBvJ+V8NUR5sLP2z4AbnJRzq3f8YeAgzGzxYifldGKQHEJ0aQT9KDOEK/cUrXVDq1gkXzgYExg+EbisnIif20wHkXzhNuAOjCUD4EiM+f0g4KFyIt5w9+hmCW0F5cYsBVwKuNUK5casWZ5NHeDjwKN+bdX7oyulFvrYW3uSfpS7yzK3wyzRCns6KWdopuiknNvsrH2ek3JOs7N222eKjRBdGkk/ygzdl9vLQj4Wr+nPAGcBv8dYFu71yiYCbY/uDtPEtz9mzxvHjVmVPW/OBI5yY1YcY5YoAV8MUQah/3kI2MXO2mMxS7TCi3bWPp3hM8VVntNGaIGJoyC6JPQE5UT8eeCrkXxhOrC+nIhX7wy9pN39henFdy/1vUYk5kkIjJNy1tlZ+yvArXhmCSflPNaBrjs6U2yE6JLQK0TyBRsTk7eFd/w8kCon4r6r91YI3UkiROb6X9KT9KPcXZXZ2/Kioz/GTsp5HviqnbWnA+udlBPqTLHLyHeyc/Sr3BV+DpxWTsTzAJF8YTbmnvYLo7NQnSSE/9/e/YXIdZZxHP/+GtqKIbTWPz0rqMWq9CLvZvzXQhNCRrzwQmIu7IVEnNJCERUtvWkVq6ggwVKkiopCQo9SW2xIq7GotHAkNaHYNp5yqqEmJOBNpzYWY2xsleTx4pzZnd1sdrO78845Z/b5wDAzZ/68b5Z58j7v+fO8rq1CGuZkisBJoFf0iiiZonNtkGT5c/1uZ9NS20alzTMo52L6MXBH0SsygJCGbUTMFJ1rieNJlt8N/Kx6/mngRKzGxnKh7qhJ+pikFyQdk3RX3f1ZiKQ9kv4u6fmhbVdJelzS0ep+wQsr6yLpHZIySUck/VnSl6rtje53JOsHgxNA0St+D6yvrzuj14Y4Ao+lhrkFeCuwr7q9BYhWyqZ1u/gkrQP+ylDpG+BTZha19M1ySdpKuUTDT81sY7XtO8ArZrar+g/hTWZ2Z539HCZpCpgys8OSNgDPAjuAm2lwv2MIaXiE8tqs4UzxQ0Wv2FFfr0anLXEEHktNUVVD/12/2/nouNps4wzqeuCYmR03s7GVvlkuMzsAvDJv8yeAtHqcUv5gG8PMXjSzw9Xj08Cg5luj+x3JWDPFGrQijsBjqSn63c5Z4EyS5VeMq802HoOqq/TNKFxtZi9C+QOW9La6O3Qhkq5htuZba/o9CtW1Tg8XvWJsmWIN2hxH0KLf5ITF0mtAkWT548Crg439bueLMRpr4wxqFBV53SIkzdR8M7N/1d2fcSt6xVngTEjD2DLFGngcjcEExtJjwN3AAcrdloNbFG2cQdVV+mYUXpI0VWVOU5TVshtF0qWUAfWAme2rNje+3xG8BhQhDXMyxaJXRMkUa9DmOIIW/CYnMZb63U669LtGp40D1NPAeyWNu/TNKPwK6AG7qvtf1tuduSTN1Hwzs+GCpI3udySPVbdJ1eY4gob/JictlpIsL1hkht3vdqZjtNu6s/gAJM2pyGtmy6rIOw6SHgS2UR5cf4nZsjm/AN4J/A24yczmH/ytjaQtwJNAwWy9ua9Q7jtvbL/dyrQhjsBjqQmSLH9X9fDz1f3g7NadwJl+t/PNGO22coByLpaQhkUzxaJXRMkUnWuDJMsP9rudzUttG5U27uJzLqaPV/cLZorj745zjbI+yfIt/W7nDwBJlt9IxAvYfQbl3AJCGg4WvWLzUtucW0uSLP8gsAe4gnJPwyngln63c3jRD65QG08zd24c1oc0bBk8CWmImik61xJ5VRh2Guj0u51OrMEJfBefcxdyK7CnuhZqJlOst0vO1e5YkuV7KZeLPxK7MR+gnFtYXvSKTdV6UCp6xam6O+RcA0xTXpKwO8nySyh39z3U73aiXITsx6CcW0BIwwlgL+UKvtEzRefaJsnyrcCDwJWUsfKtfrcz0sU8/RjUKki6UtLnhp6/XdLeSG3tkPS16vH9kj55EZ+5TNIBST5TXr5pymrfu0MangppuK2aTbkR8zhqjyTL1yVZvj3J8keA+4B7gXcD+4mw6rXPoFahKgL568ESAJHbOgRsN7OTku6v2r1gEEtaZ2ZnJX2dsmr1A7H7OKlCGs7LFIteMWnLvtfG46g9kiw/DmTA7n63c2jea98bddFYn0Gtzi7gWkm5pHskXTNYVE3SzZIelbRf0glJX5B0h6Q/SXpK0lXV+66V9FtJz0p6UtJ18xuR9D7gdTM7ObR5q6RDko4PskBJ26pF0n5OeQU7lFfc74z5R5hEIQ3rQhq2V+tCRc8U1ziPo/aY7nc7t84fnCBORfM1P2VdpbuAjWbWgZlMcNhGyjL7bwCOAXea2fslfRf4DGWZmZ8AnzWzo5JuAH4IfGTe92ymXDxv2BSwBbiOsr7XIAu8vurTYBnm54EPr+LfuFYdpcwU7yl6xXAw7q1mVG50PI4aLsny71NVWEmy/LzXYy234QNUXFm1WNlpSacos28os7LpqhT/jcDDZW1JAC5f4HumgJfnbXvUzM4Bf5F09dD2Pw4FFdXuif9K2lD1xV2c6aJX/HuhFyaoonlbeBzV75mhx9+grIcYnQ9Qcb0+9Pjc0PNzlH/7S4B/DjLHRfyH8srtC3338No+r3K+yymXj3BLCGmYyRRDGs573QenWngc1Wx4mY0ky28f17IbfgxqdU4DG1b64WoBsxOSboKyRL+kTQu89QjwnpW0IenNwMtm9r+V9nONeYbZRdi2M3dRtmgLs61xHkftMrYz63wGtQpm9g9JB6sDur8BfrCCr9kJ/EjSV4FLgYeA5+a95wBwryTZ8k+77OIH9S9a0StmMsOQhtuHn7s4PI7chfhp5i0h6T5gv5k9sczP7QO+bGYvxOnZ5AppOFz0ig/U3Q83Oh5HK5Nk+WlmZ05vZLayvwDrdztRrhH0GVR7fBu4YTkfkHQZ5UHgNRlUzi3A42gF+t3OinfBrobPoJwbEtKwaKZY9AqvJuHcmPgA5ZxzrpH8LD7nnHON5AOUc865RvIByjnnXCP5AOWcc66RfIByzjnXSD5AOeeca6T/A9Tnsrr3JXZYAAAAAElFTkSuQmCC", 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" ] @@ -1569,7 +1691,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3.10.4 ('dispatches-dev')", + "display_name": "Python 3.7.12 ('raven_libraries')", "language": "python", "name": "python3" }, @@ -1583,11 +1705,11 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.4" + "version": "3.7.12" }, "vscode": { "interpreter": { - "hash": "3de6449f03505a37b78911f8b034d40127ea57d9aee03280633bd6a176a9ad3c" + "hash": "6d0acf42cb0fb1bfbd1a977660e9dbc5c6cac802e2d2bc70e5030ba691b903ab" } } }, diff --git a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb index e7febc7ae..aff970923 100644 --- a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb +++ b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb @@ -44,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": 289, + "execution_count": 106, "id": "automated-antigua", "metadata": {}, "outputs": [], @@ -89,7 +89,7 @@ }, { "cell_type": "code", - "execution_count": 290, + "execution_count": 107, "id": "e3e331c5", "metadata": {}, "outputs": [], @@ -142,7 +142,7 @@ }, { "cell_type": "code", - "execution_count": 291, + "execution_count": 108, "id": "annoying-myrtle", "metadata": { "scrolled": false @@ -152,58 +152,58 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-08-22 14:24:11 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-08-22 14:24:11 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:11 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:11 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-08-22 14:24:11 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:11 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-08-22 14:24:11 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:11 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:11 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-08-22 14:24:11 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:11 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:12 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:12 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-08-22 14:24:12 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:12 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-08-22 14:24:12 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:12 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:12 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:12 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-08-22 14:24:12 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:12 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-08-22 14:24:12 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:12 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-08-22 14:24:12 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:12 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:13 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-22 14:24:13 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-08-22 14:24:13 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-08-22 14:24:13 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:13 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-08-22 14:24:13 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:13 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:13 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-08-22 14:24:13 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:13 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:13 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-22 14:24:13 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:14 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:24:15 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-22 14:24:15 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "2022-08-23 10:20:55 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-08-23 10:20:55 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:55 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:55 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-08-23 10:20:55 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:55 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-08-23 10:20:55 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:55 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:55 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-08-23 10:20:56 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:56 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:56 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:56 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-08-23 10:20:56 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:56 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-08-23 10:20:56 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:56 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:56 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:56 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-08-23 10:20:56 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:56 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-08-23 10:20:56 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:56 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-08-23 10:20:56 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:57 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:57 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-23 10:20:57 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-08-23 10:20:57 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-08-23 10:20:57 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:57 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-08-23 10:20:57 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:57 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:57 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-08-23 10:20:57 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:57 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:57 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-23 10:20:57 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:20:59 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-23 10:20:59 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", "Degrees of freedom: 0\n", "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", "tol=1e-06\n", @@ -253,7 +253,7 @@ "Number of equality constraint Jacobian evaluations = 2\n", "Number of inequality constraint Jacobian evaluations = 0\n", "Number of Lagrangian Hessian evaluations = 1\n", - "Total seconds in IPOPT = 0.017\n", + "Total seconds in IPOPT = 0.006\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -261,10 +261,10 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.21031641960144043}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.11427092552185059}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, - "execution_count": 291, + "execution_count": 108, "metadata": {}, "output_type": "execute_result" } @@ -300,7 +300,7 @@ }, { "cell_type": "code", - "execution_count": 292, + "execution_count": 109, "id": "animal-astronomy", "metadata": {}, "outputs": [ @@ -375,7 +375,7 @@ }, { "cell_type": "code", - "execution_count": 293, + "execution_count": 110, "id": "guilty-appliance", "metadata": {}, "outputs": [], @@ -405,7 +405,7 @@ }, { "cell_type": "code", - "execution_count": 294, + "execution_count": 111, "id": "involved-skill", "metadata": {}, "outputs": [], @@ -448,7 +448,7 @@ }, { "cell_type": "code", - "execution_count": 295, + "execution_count": 112, "id": "driven-allah", "metadata": {}, "outputs": [], @@ -483,7 +483,7 @@ }, { "cell_type": "code", - "execution_count": 296, + "execution_count": 113, "id": "1cf94ff3", "metadata": {}, "outputs": [ @@ -509,6 +509,7 @@ " for cluster in m.set_days}\n", "\n", "## CHECKING THAT WE HAVE ENOUGH DATA FOR SIM ##\n", + "\n", "# Case where we have less data than the project life/sim time\n", "# Here, we assume (as in the default nuclear case demo) that\n", "# the years 2022-2031 all have the same LMP data, which\n", @@ -519,9 +520,9 @@ " years[0] + m.plant_life) # full project time with first year of data as starting point\n", "\n", " # initializing empty dicts and lists\n", - " newLMP = {} # going to replace existing LMP dictionary\n", + " newLMP = {} # going to replace existing LMP dictionary\n", " newYearsVec = [] # list of years used\n", - " stuckYear = 0 # ugly way of duplicating years\n", + " stuckYear = 0 # ugly way of duplicating years\n", "\n", " # looping through possible years in lifetime (e.g., 2021 -> 2041)\n", " for i,y in enumerate(projLifeRange):\n", @@ -552,27 +553,6 @@ " # years.insert(0,0)" ] }, - { - "cell_type": "code", - "execution_count": 297, - "id": "b6a8297c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "10" - ] - }, - "execution_count": 297, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sum(w == 2032 for w in m.yearsFullVec)\n" - ] - }, { "cell_type": "markdown", "id": "august-rings", @@ -590,7 +570,7 @@ }, { "cell_type": "code", - "execution_count": 298, + "execution_count": 114, "id": "senior-multimedia", "metadata": {}, "outputs": [], @@ -647,7 +627,7 @@ }, { "cell_type": "code", - "execution_count": 299, + "execution_count": 115, "id": "democratic-aurora", "metadata": {}, "outputs": [ @@ -657,62 +637,62 @@ "text": [ "[ 0.00] Processing input information.\n", "[+ 0.00] Beginning the formulation of the multiperiod problem.\n", - "[+ 353.65] Completed the formulation of the multiperiod problem\n", - "2022-08-22 14:30:11 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-08-22 14:30:12 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:12 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:12 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-08-22 14:30:12 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:12 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-08-22 14:30:12 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:12 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:12 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-08-22 14:30:12 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:12 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:12 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:12 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-08-22 14:30:13 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:13 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-08-22 14:30:13 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:13 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:13 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:13 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-08-22 14:30:13 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:13 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-08-22 14:30:13 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:13 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-08-22 14:30:13 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:13 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:14 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-22 14:30:14 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-08-22 14:30:14 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-08-22 14:30:14 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:14 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-08-22 14:30:14 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:14 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:14 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-08-22 14:30:14 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:14 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:14 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-22 14:30:14 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-08-22 14:30:15 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:15 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-08-22 14:30:15 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:15 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-08-22 14:30:15 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-22 14:30:15 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-08-22 14:30:15 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:15 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-08-22 14:30:15 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:15 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:15 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-08-22 14:30:16 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:16 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-22 14:30:16 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-22 14:30:16 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", - "[+ 6.77] Created an instance of the flowsheet and initialized it.\n", - "[+ 36.88] Initialized the entire multiperiod optimization model.\n", - "[+ 0.83] Unfixed the degrees of freedom from each period model.\n" + "[+ 143.92] Completed the formulation of the multiperiod problem\n", + "2022-08-23 10:23:24 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-08-23 10:23:24 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:24 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:24 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-08-23 10:23:24 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:24 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-08-23 10:23:24 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:24 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:24 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-08-23 10:23:24 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:24 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:24 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:24 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-08-23 10:23:25 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:25 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-08-23 10:23:25 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:25 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:25 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:25 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-08-23 10:23:25 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:25 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-08-23 10:23:25 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:25 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-08-23 10:23:25 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:25 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:26 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-23 10:23:26 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-08-23 10:23:26 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-08-23 10:23:26 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:26 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-08-23 10:23:26 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:26 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:26 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-08-23 10:23:26 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:26 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:27 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-23 10:23:27 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-08-23 10:23:27 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:27 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-08-23 10:23:27 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:27 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-08-23 10:23:27 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-23 10:23:27 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-08-23 10:23:27 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:27 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-08-23 10:23:28 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:28 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:28 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-08-23 10:23:28 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:28 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:23:28 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-23 10:23:28 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "[+ 4.89] Created an instance of the flowsheet and initialized it.\n", + "[+ 21.01] Initialized the entire multiperiod optimization model.\n", + "[+ 0.36] Unfixed the degrees of freedom from each period model.\n" ] } ], @@ -744,7 +724,7 @@ }, { "cell_type": "code", - "execution_count": 300, + "execution_count": 116, "id": "optimum-closing", "metadata": {}, "outputs": [], @@ -840,7 +820,7 @@ }, { "cell_type": "code", - "execution_count": 301, + "execution_count": 117, "id": "cbf4c9c2", "metadata": {}, "outputs": [], @@ -870,7 +850,7 @@ " \"Lifetime\": 20,\n", " \"Capex\":{\n", " \"Expressions\": ['tank_capacity'],\n", - " \"Value\": 1.946, # $29/kWh * 33.3 kWh/kg * 2.013e-3 kg/mol\n", + " \"Value\": 1.946851199, # $29/kWh * 33.3 kWh/kg * 2.016e-3 kg/mol\n", " \"Multiplier\": [-1],\n", " },\n", " },\n", @@ -911,7 +891,7 @@ " \"Hourly\":{\n", " \"Expressions\": ['fs.h2_tank.outlet_to_pipeline.flow_mol'], # this is in mol/s\n", " \"Value\": 3.0, # this is $/kg\n", - " \"Multiplier\": [7.2468] # convert from $/kg -> $/mol and also converting mol/s to mol/hr\n", + " \"Multiplier\": [7.2576] # convert from $/kg -> $/mol and also converting mol/s to mol/hr\n", " },\n", " },\n", "}" @@ -930,7 +910,7 @@ }, { "cell_type": "code", - "execution_count": 302, + "execution_count": 118, "id": "418b46b4", "metadata": {}, "outputs": [ @@ -993,7 +973,7 @@ }, { "cell_type": "code", - "execution_count": 303, + "execution_count": 119, "id": "0b30e827", "metadata": {}, "outputs": [], @@ -1081,7 +1061,7 @@ }, { "cell_type": "code", - "execution_count": 304, + "execution_count": 120, "id": "2df7b4f5", "metadata": {}, "outputs": [], @@ -1101,7 +1081,7 @@ }, { "cell_type": "code", - "execution_count": 305, + "execution_count": 121, "id": "463cfe9b", "metadata": {}, "outputs": [], @@ -1169,8 +1149,16 @@ " # storing individual Pyomo dispatch\n", " dispatch_array[p, time] = dispatch_driver * weight\n", "\n", - " return alpha, dispatch_array\n", - "\n", + " return alpha, dispatch_array\n" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "id": "e9157024", + "metadata": {}, + "outputs": [], + "source": [ "def buildTealComponent(name, comp, mdl):\n", " life = comp['Lifetime']\n", " projLife = len(mdl.set_years) + 1\n", @@ -1187,7 +1175,7 @@ " capex = createCapex(tealComp, alpha, driver, m.plant_life)\n", " cashFlows.append(capex)\n", "\n", - " capex.setAmortization('MACRS', 3)\n", + " capex.setAmortization('MACRS', 15)\n", " amorts = tealComp._createDepreciation(capex)\n", " cashFlows.extend(amorts)\n", " \n", @@ -1203,13 +1191,12 @@ " \n", "\n", " tealComp.addCashflows(cashFlows)\n", - " return tealComp\n", - "\n" + " return tealComp\n" ] }, { "cell_type": "code", - "execution_count": 306, + "execution_count": 123, "id": "qualified-bargain", "metadata": {}, "outputs": [], @@ -1325,7 +1312,7 @@ }, { "cell_type": "code", - "execution_count": 307, + "execution_count": 124, "id": "republican-diagnosis", "metadata": {}, "outputs": [], @@ -1346,7 +1333,7 @@ }, { "cell_type": "code", - "execution_count": 308, + "execution_count": 125, "id": "c5844dcd", "metadata": {}, "outputs": [ @@ -1355,24 +1342,24 @@ "output_type": "stream", "text": [ "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [0. 0.3333 0.4445 0.1481 0.0741 0. 0. 0. 0. 0.\n", - " 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n", - " 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n", - " 0. 0. 0.]\n", + "DEBUGG amort alpha: [0. 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005\n", + " 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005\n", + " 0.0005]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1.\n", + " -1. -1. -1.]\n", "DEBUGG cRH life: pem 21\n", "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [0. 0.3333 0.4445 0.1481 0.0741 0. 0. 0. 0. 0.\n", - " 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n", - " 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n", - " 0. 0. 0.]\n", + "DEBUGG amort alpha: [0. 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005\n", + " 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005\n", + " 0.0005]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1.\n", + " -1. -1. -1.]\n", "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [0. 0.3333 0.4445 0.1481 0.0741 0. 0. 0. 0. 0.\n", - " 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n", - " 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n", - " 0. 0. 0.]\n", + "DEBUGG amort alpha: [0. 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005\n", + " 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005\n", + " 0.0005]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1.\n", + " -1. -1. -1.]\n", "DEBUGG cRH life: h2turbine 21\n", "DEBUGG cRH life: electricity_market 21\n", "DEBUGG cRH life: h2_market 21\n", @@ -1384,7 +1371,7 @@ "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", "CashFlow INFO (run): ==========================================================================================\n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1413,7 +1400,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1425,24 +1412,24 @@ "CashFlow INFO (compLife): 2 , , , \n", "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1454,24 +1441,24 @@ "CashFlow INFO (compLife): 2 , , , \n", "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -1497,7 +1484,7 @@ "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -1524,7 +1511,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1553,7 +1540,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1565,24 +1552,24 @@ "CashFlow INFO (compLife): 2 , , , \n", "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1594,24 +1581,24 @@ "CashFlow INFO (compLife): 2 , , , \n", "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1640,7 +1627,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1652,24 +1639,24 @@ "CashFlow INFO (compLife): 2 , , , \n", "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1681,24 +1668,24 @@ "CashFlow INFO (compLife): 2 , , , \n", "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -1724,7 +1711,7 @@ "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -1751,7 +1738,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: electricity_market \n", + "DEBUGG comp: electricity_market \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -1778,7 +1765,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2_market \n", + "DEBUGG comp: h2_market \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -1850,22 +1837,22 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -1877,22 +1864,22 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -1989,22 +1976,22 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -2016,22 +2003,22 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2turbine\" ...\n", "CashFlow INFO (proj comp): ... component start: 0\n", @@ -2074,60 +2061,60 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2turbine_depreciate_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"FixedOM\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2turbine_depreciate_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"FixedOM\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", "CashFlow INFO (proj comp): 5: \n", "CashFlow INFO (proj comp): 6: \n", "CashFlow INFO (proj comp): 7: \n", @@ -2261,6 +2248,14 @@ "CashFlow INFO (FCFF): 20: \n", "CashFlow INFO (NPV): ... NPV: \n" ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\sotogj\\projects\\TEAL\\src\\main.py:418: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " projCf[nonBuildMask] += lifeCf[relativeOperation[relativeOperation!=0]] * taxMult * np.power(inflRate, -1*years[nonBuildMask])\n" + ] } ], "source": [ @@ -2279,7 +2274,7 @@ }, { "cell_type": "code", - "execution_count": 309, + "execution_count": 126, "id": "71991e45", "metadata": {}, "outputs": [], @@ -2292,7 +2287,7 @@ }, { "cell_type": "code", - "execution_count": 310, + "execution_count": 127, "id": "d7355a37", "metadata": {}, "outputs": [ @@ -2308,7 +2303,7 @@ "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", "CashFlow INFO (run): ==========================================================================================\n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2337,7 +2332,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2349,24 +2344,24 @@ "CashFlow INFO (compLife): 2 , , , \n", "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2378,24 +2373,24 @@ "CashFlow INFO (compLife): 2 , , , \n", "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -2421,7 +2416,7 @@ "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -2448,7 +2443,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2477,7 +2472,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2489,24 +2484,24 @@ "CashFlow INFO (compLife): 2 , , , \n", "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2518,24 +2513,24 @@ "CashFlow INFO (compLife): 2 , , , \n", "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2564,7 +2559,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2576,24 +2571,24 @@ "CashFlow INFO (compLife): 2 , , , \n", "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2605,24 +2600,24 @@ "CashFlow INFO (compLife): 2 , , , \n", "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -2648,7 +2643,7 @@ "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -2675,7 +2670,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: electricity_market \n", + "DEBUGG comp: electricity_market \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -2702,7 +2697,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2_market \n", + "DEBUGG comp: h2_market \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -2774,22 +2769,22 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -2801,22 +2796,22 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -2913,22 +2908,22 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -2940,22 +2935,22 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2turbine\" ...\n", "CashFlow INFO (proj comp): ... component start: 0\n", @@ -2998,22 +2993,22 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -3025,22 +3020,22 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -3211,32 +3206,185 @@ " inequality constraints with only upper bounds: 3840\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -1.1949636e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -1.4616018e+09 1.91e+05 2.08e+04 -1.0 2.80e+06 - 8.10e-04 8.91e-01f 1\n", - " 2 -1.4977726e+09 7.77e+03 1.27e+04 -1.0 5.00e+05 - 1.82e-03 9.90e-01f 1\n", - " 3 -1.4982406e+09 2.28e+02 6.53e+03 -1.0 9.98e+03 - 2.59e-01 9.71e-01h 1\n", - " 4 -1.4982550e+09 1.30e+02 8.86e+04 -1.0 1.98e+02 - 1.44e-01 4.23e-01h 1\n", - " 5 -1.4982650e+09 9.94e+01 1.20e+05 -1.0 7.28e+02 - 2.34e-01 3.58e-01f 1\n", - " 6 -1.4983004e+09 1.09e+00 6.40e+05 -1.0 1.87e+02 - 1.67e-01 1.00e+00f 1\n", - " 7 -1.4983388e+09 4.00e-01 3.07e+06 -1.0 1.90e+02 - 6.83e-01 1.00e+00f 1\n", - " 8 -1.4984641e+09 1.24e+00 1.03e+06 -1.0 1.14e+03 - 6.64e-01 1.00e+00f 1\n", - " 9 -1.4985511e+09 1.90e+02 1.28e+06 -1.0 5.49e+04 - 3.03e-02 4.43e-01f 1\n", + " 0 -1.1949854e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -1.4615964e+09 1.91e+05 2.08e+04 -1.0 2.80e+06 - 8.13e-04 8.91e-01f 1\n", + " 2 -1.4962109e+09 7.77e+03 1.27e+04 -1.0 5.00e+05 - 1.82e-03 9.90e-01f 1\n", + " 3 -1.4966101e+09 2.28e+02 6.53e+03 -1.0 9.98e+03 - 2.59e-01 9.71e-01h 1\n", + " 4 -1.4966125e+09 1.35e+02 9.36e+03 -1.0 1.28e+03 - 7.18e-03 4.10e-01f 1\n", + " 5 -1.4966226e+09 1.35e+01 4.02e+03 -1.0 4.32e+02 - 3.33e-01 9.91e-01h 1\n", + " 6 -1.4966250e+09 4.56e+00 2.56e+05 -1.0 9.74e+01 - 5.72e-01 1.00e+00f 1\n", + " 7 -1.4966313e+09 1.46e+00 1.34e+06 -1.0 1.26e+02 - 8.62e-01 1.00e+00f 1\n", + " 8 -1.4966565e+09 2.47e-01 6.72e+05 -1.0 5.18e+02 - 4.98e-01 4.80e-01f 1\n", + " 9 -1.4967763e+09 6.43e-01 6.64e+05 -1.0 1.10e+03 - 1.16e-02 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -1.4969256e+09 1.48e+01 6.17e+05 -1.0 7.63e+03 - 7.08e-02 1.00e+00f 1\n", + " 11 -1.4971144e+09 3.24e+01 5.29e+05 -1.0 7.54e+03 - 1.42e-01 1.00e+00f 1\n", + " 12 -1.4973960e+09 1.40e+01 4.53e+05 -1.0 9.75e+03 - 1.44e-01 1.00e+00f 1\n", + " 13 -1.4978344e+09 7.36e+00 3.77e+05 -1.0 1.04e+04 - 1.68e-01 1.00e+00f 1\n", + " 14 -1.4985776e+09 2.08e+00 3.14e+05 -1.0 1.56e+04 - 1.68e-01 1.00e+00f 1\n", + " 15 -1.4999065e+09 6.31e-01 2.63e+05 -1.0 2.31e+04 - 1.62e-01 1.00e+00f 1\n", + " 16 -1.4999102e+09 7.73e-05 2.35e+04 -1.0 5.75e+01 -4.5 9.11e-01 1.00e+00f 1\n", + " 17 -1.5028700e+09 2.09e-02 2.31e+04 -1.0 3.73e+05 - 1.91e-02 1.10e-01f 1\n", + " 18 -1.5090914e+09 3.38e-02 2.26e+04 -1.0 6.53e+05 - 1.90e-02 1.18e-01f 1\n", + " 19 -1.5219198e+09 3.93e-02 2.22e+04 -1.0 1.20e+06 - 1.91e-02 1.18e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 -1.5220491e+09 3.92e-02 2.15e+04 -1.0 1.26e+06 - 3.24e-02 1.49e-03f 1\n", + " 21 -1.5220487e+09 1.89e-04 2.15e+02 -1.0 4.70e+01 -4.6 9.90e-01 1.00e+00f 1\n", + " 22 -1.5220487e+09 2.11e-09 2.10e+00 -1.0 2.30e+00 -3.3 9.90e-01 1.00e+00f 1\n", + " 23 -1.5220519e+09 6.10e-10 4.59e+04 -1.7 1.20e+01 -3.7 9.94e-01 1.00e+00f 1\n", + " 24 -1.5220538e+09 5.39e-10 5.27e-03 -1.7 3.67e+01 -4.2 1.00e+00 1.00e+00f 1\n", + " 25 -1.5221876e+09 1.72e-06 3.70e-01 -3.8 8.94e+07 - 7.68e-04 1.24e-03f 1\n", + " 26 -1.5221882e+09 1.31e-06 1.41e+06 -3.8 4.34e+01 -4.3 9.41e-01 2.34e-01f 1\n", + " 27 -1.5222541e+09 2.29e-06 1.41e+06 -3.8 1.40e+09 - 5.19e-05 7.18e-05f 1\n", + " 28 -1.5222543e+09 1.70e-06 1.13e+06 -3.8 8.08e+00 -3.4 1.00e+00 2.59e-01f 1\n", + " 29 -1.5222549e+09 8.18e-07 5.49e+05 -3.8 2.22e+01 -3.9 6.11e-01 5.13e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30 -1.5222552e+09 6.93e-07 4.65e+05 -3.8 6.00e+01 -4.4 2.02e-01 1.52e-01f 1\n", + " 31 -1.5222553e+09 6.03e-07 4.06e+05 -3.8 2.28e+01 -3.9 4.71e-01 1.28e-01f 1\n", + " 32 -1.5222555e+09 2.77e-07 1.87e+05 -3.8 8.62e+00 -3.5 7.15e-01 5.38e-01f 1\n", + " 33 -1.5222556e+09 2.26e-07 1.53e+05 -3.8 2.56e+01 -4.0 2.74e-01 1.83e-01f 1\n", + " 34 -1.5222558e+09 2.04e-07 1.38e+05 -3.8 7.71e+01 -4.5 1.24e-01 1.00e-01f 1\n", + " 35 -1.5222559e+09 1.82e-07 1.23e+05 -3.8 2.93e+01 -4.0 4.68e-01 1.07e-01f 1\n", + " 36 -1.5222560e+09 1.22e-07 8.25e+04 -3.8 1.12e+01 -3.6 1.00e+00 3.29e-01f 1\n", + " 37 -1.5223190e+09 1.20e-06 8.25e+04 -3.8 7.72e+09 - 7.81e-06 1.53e-05f 1\n", + " 38 -1.5223192e+09 7.26e-07 5.00e+04 -3.8 1.26e+01 -3.7 3.19e-01 3.95e-01f 1\n", + " 39 -1.5223192e+09 6.99e-07 4.81e+04 -3.8 3.74e+01 -4.1 5.66e-01 3.76e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40 -1.5223195e+09 6.30e-07 4.34e+04 -3.8 1.09e+02 -4.6 1.05e-01 9.83e-02f 1\n", + " 41 -1.5223195e+09 6.21e-07 4.28e+04 -3.8 6.31e+01 -4.2 6.55e-01 1.30e-02f 1\n", + " 42 -1.5223196e+09 5.24e-07 3.61e+04 -3.8 1.79e+01 -3.8 1.00e+00 1.57e-01f 1\n", + " 43 -1.5223196e+09 3.18e-07 2.19e+04 -3.8 5.33e+00 -3.3 1.00e+00 3.93e-01f 1\n", + " 44 -1.5223197e+09 2.48e-07 1.71e+04 -3.8 1.39e+01 -3.8 8.96e-01 2.18e-01f 1\n", + " 45 -1.5223197e+09 1.76e-07 1.22e+04 -3.8 5.05e+00 -3.4 1.00e+00 2.89e-01f 1\n", + " 46 -1.5223198e+09 1.35e-07 9.32e+03 -3.8 1.46e+01 -3.9 5.44e-01 2.35e-01f 1\n", + " 47 -1.5223199e+09 1.24e-07 8.59e+03 -3.8 4.29e+01 -4.3 6.24e-01 7.76e-02f 1\n", + " 48 -1.5223584e+09 1.29e-06 8.59e+03 -3.8 5.98e+09 - 8.99e-06 1.55e-05f 1\n", + " 49 -1.5223585e+09 4.39e-07 2.94e+03 -3.8 6.09e+00 -3.5 1.00e+00 6.58e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -1.4985585e+09 1.36e+00 8.84e+05 -1.0 1.83e+02 -4.0 1.17e-01 1.00e+00f 1\n", - " 11 -1.4985842e+09 2.01e+00 4.31e+05 -1.0 6.68e+01 -4.5 5.12e-01 1.00e+00f 1\n", - " 12 -1.4997717e+09 3.72e+01 4.26e+05 -1.0 5.68e+03 - 1.32e-02 1.00e+00f 1\n", - " 13 -1.4998507e+09 1.11e-02 2.61e+05 -1.0 4.28e+02 -5.0 3.88e-01 1.00e+00f 1\n", - " 14 -1.5022064e+09 9.78e-03 2.55e+05 -1.0 1.80e+04 - 2.19e-02 7.57e-01f 1\n", - " 15 -1.5063746e+09 1.12e-03 2.28e+05 -1.0 2.10e+04 - 1.05e-01 8.08e-01f 1\n", - " 16 -1.5164377e+09 4.30e-04 2.04e+05 -1.0 3.74e+04 - 1.06e-01 9.59e-01f 1\n", - " 17 -1.5164771e+09 3.62e-07 1.13e+05 -1.0 1.28e+02 -4.5 4.46e-01 1.00e+00f 1\n", - " 18 -1.5537867e+09 8.89e-03 1.06e+05 -1.0 1.44e+05 - 6.24e-02 8.09e-01f 1\n", - " 19 -1.5538313e+09 1.72e-04 6.22e+04 -1.0 1.26e+02 -4.6 4.13e-01 1.00e+00f 1\n", + " 50 -1.5223585e+09 3.44e-07 2.31e+03 -3.8 1.78e+01 -4.0 1.00e+00 2.15e-01f 1\n", + " 51 -1.5223586e+09 3.15e-07 2.11e+03 -3.8 5.09e+01 -4.4 4.46e-01 8.44e-02f 1\n", + " 52 -1.5223848e+09 1.76e-06 2.11e+03 -3.8 5.96e+09 - 1.03e-05 1.73e-05f 1\n", + " 53 -1.5223848e+09 8.43e-07 1.01e+03 -3.8 7.27e+00 -3.6 1.00e+00 5.20e-01f 1\n", + " 54 -1.5224141e+09 3.42e-06 1.01e+03 -3.8 3.12e+09 - 1.26e-05 2.29e-05f 1\n", + " 55 -1.5224442e+09 4.34e-06 1.01e+03 -3.8 7.54e+09 - 1.01e-05 1.38e-05f 1\n", + " 56 -1.5224442e+09 3.63e-06 8.49e+02 -3.8 2.36e+01 -4.1 7.39e-01 1.63e-01f 1\n", + " 57 -1.5224634e+09 5.93e-06 8.49e+02 -3.8 4.86e+09 - 1.30e-05 2.16e-05f 1\n", + " 58 -1.5224764e+09 7.61e-06 8.49e+02 -3.8 6.02e+09 - 1.24e-05 1.85e-05f 1\n", + " 59 -1.5224911e+09 9.52e-06 8.49e+02 -3.8 5.75e+09 - 1.27e-05 1.96e-05f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20 -1.5733025e+09 5.33e-04 5.97e+04 -1.0 6.63e+05 - 4.01e-02 8.36e-02f 1\n", - " 21 -1.5734977e+09 5.42e-04 5.53e+04 -1.0 3.71e+05 - 7.43e-02 1.68e-03f 1\n", - " 22 -1.5734996e+09 4.93e-04 8.22e+02 -1.0 8.03e+01 -4.6 9.90e-01 9.03e-02f 1\n" + " 60 -1.5225015e+09 1.11e-05 8.49e+02 -3.8 4.95e+09 - 1.59e-05 1.79e-05f 1\n", + " 61 -1.5225015e+09 9.30e-06 7.10e+02 -3.8 9.20e+01 -3.8 1.00e+00 1.63e-01f 1\n", + " 62 -1.5225077e+09 1.45e-05 7.10e+02 -3.8 2.91e+09 - 2.85e-05 3.19e-05f 1\n", + " 63 -1.5225078e+09 1.08e-05 5.32e+02 -3.8 1.24e+01 -3.8 5.76e-01 2.51e-01f 1\n", + " 64 -1.5225151e+09 1.89e-05 5.32e+02 -3.8 3.66e+09 - 1.40e-05 3.95e-05f 1\n", + " 65 -1.5225173e+09 2.08e-05 5.32e+02 -3.8 1.53e+09 - 2.59e-05 1.93e-05f 1\n", + " 66 -1.5225174e+09 1.03e-05 2.66e+02 -3.8 3.41e+01 -3.5 1.00e+00 5.01e-01f 1\n", + " 67 -1.5225175e+09 8.50e-06 2.18e+02 -3.8 1.55e+01 -3.9 8.34e-01 1.78e-01f 1\n", + " 68 -1.5225175e+09 6.07e-06 1.56e+02 -3.8 5.82e+00 -3.5 1.00e+00 2.86e-01f 1\n", + " 69 -1.5225176e+09 4.75e-06 1.22e+02 -3.8 1.71e+01 -4.0 4.75e-01 2.17e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70 -1.5225251e+09 1.50e-05 1.22e+02 -3.8 2.87e+09 - 2.41e-05 4.43e-05f 1\n", + " 71 -1.5225253e+09 1.45e-05 1.17e+02 -3.8 1.46e+02 -5.0 4.12e-01 3.73e-02f 1\n", + " 72 -1.5225254e+09 1.28e-05 1.04e+02 -3.8 5.38e+01 -4.5 6.56e-01 1.14e-01f 1\n", + " 73 -1.5225323e+09 2.10e-05 1.04e+02 -3.8 2.70e+09 - 2.49e-05 3.91e-05f 1\n", + " 74 -1.5225391e+09 2.59e-05 1.04e+02 -3.8 2.92e+09 - 2.20e-05 2.97e-05f 1\n", + " 75 -1.5225392e+09 1.88e-05 7.58e+01 -3.8 2.26e+01 -4.2 1.00e+00 2.71e-01f 1\n", + " 76 -1.5225491e+09 3.22e-05 7.58e+01 -3.8 2.32e+09 - 2.76e-05 4.84e-05f 1\n", + " 77 -1.5225525e+09 4.07e-05 7.58e+01 -3.8 1.51e+09 - 2.80e-05 3.82e-05f 1\n", + " 78 -1.5225554e+09 4.81e-05 7.58e+01 -3.8 2.78e+09 - 3.83e-05 3.48e-05f 1\n", + " 79 -1.5225557e+09 4.46e-05 1.67e+02 -3.8 2.16e+02 -5.2 4.23e-01 7.16e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80 -1.5225557e+09 2.87e-05 1.18e+02 -3.8 1.05e+01 -3.8 1.00e+00 3.55e-01f 1\n", + " 81 -1.5225700e+09 9.44e-04 1.17e+02 -3.8 4.51e+08 - 5.32e-05 3.82e-04f 1\n", + " 82 -1.5225715e+09 9.50e-04 1.17e+02 -3.8 1.16e+09 - 6.15e-05 2.98e-05f 1\n", + " 83 -1.5225716e+09 7.48e-04 1.20e+02 -3.8 2.21e+02 -4.4 6.64e-01 2.13e-01f 1\n", + " 84 -1.5225717e+09 5.96e-04 3.10e+01 -3.8 1.30e+01 -3.9 1.00e+00 2.03e-01f 1\n", + " 85 -1.5225743e+09 6.27e-04 3.10e+01 -3.8 1.43e+09 - 6.56e-05 7.15e-05f 1\n", + " 86 -1.5225744e+09 4.50e-04 2.05e+01 -3.8 1.45e+01 -4.0 1.00e+00 2.82e-01f 1\n", + " 87 -1.5225745e+09 3.65e-04 5.56e+01 -3.8 4.27e+01 -4.5 1.00e+00 1.89e-01f 1\n", + " 88 -1.5225784e+09 5.06e-04 5.53e+01 -3.8 9.55e+08 - 4.71e-05 1.58e-04f 1\n", + " 89 -1.5225784e+09 3.17e-04 1.44e+01 -3.8 6.03e+00 -3.6 1.00e+00 3.74e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90 -1.5225925e+09 5.60e-03 1.60e+01 -3.8 1.52e+08 - 1.17e-04 1.06e-03f 1\n", + " 91 -1.5225932e+09 5.60e-03 1.51e+01 -3.8 3.08e+08 - 6.76e-04 5.49e-05f 1\n", + " 92 -1.5225932e+09 4.27e-03 3.07e+01 -3.8 1.94e+01 -4.1 1.00e+00 2.38e-01f 1\n", + " 93 -1.5226115e+09 1.06e-02 2.79e+01 -3.8 7.06e+06 - 7.91e-04 2.97e-03f 1\n", + " 94 -1.5226115e+09 9.47e-03 3.93e+01 -3.8 2.14e+01 -4.2 2.80e-01 1.03e-01f 1\n", + " 95 -1.5226129e+09 9.47e-03 3.91e+01 -3.8 4.14e+08 - 6.42e-05 4.10e-04f 1\n", + " 96 -1.5226133e+09 9.47e-03 4.07e+01 -3.8 2.03e+06 - 2.62e-03 2.26e-04f 1\n", + " 97 -1.5226140e+09 9.47e-03 4.05e+01 -3.8 6.75e+08 - 8.63e-06 2.82e-04f 1\n", + " 98 -1.5226207e+09 1.07e-02 4.03e+01 -3.8 4.89e+05 - 5.36e-03 5.39e-03f 1\n", + " 99 -1.5226227e+09 1.11e-02 4.28e+01 -3.8 2.24e+05 - 1.07e-02 4.66e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100 -1.5226242e+09 1.11e-02 4.53e+01 -3.8 1.20e+05 - 1.53e-02 7.93e-03f 1\n", + " 101 -1.5226257e+09 1.09e-02 5.24e+01 -3.8 6.28e+04 - 3.85e-02 1.62e-02f 1\n", + " 102 -1.5226268e+09 1.06e-02 1.97e+02 -3.8 2.57e+04 - 1.70e-01 3.45e-02f 1\n", + " 103 -1.5226276e+09 9.40e-03 2.14e+02 -3.8 5.99e+03 - 1.79e-01 1.24e-01f 1\n", + " 104 -1.5226280e+09 8.70e-03 2.42e+02 -3.8 2.08e+03 - 4.02e-01 2.06e-01f 1\n", + " 105 -1.5226280e+09 5.06e-03 2.71e+02 -3.8 2.26e+01 -4.0 1.00e+00 4.20e-01f 1\n", + " 106 -1.5226282e+09 6.93e-03 9.13e+01 -3.8 9.69e+02 - 8.77e-01 3.12e-01f 1\n", + " 107 -1.5226282e+09 4.67e-05 1.80e-02 -3.8 1.73e+00 -4.1 1.00e+00 1.00e+00f 1\n", + " 108 -1.5226282e+09 1.15e-03 4.41e-03 -3.8 2.62e+01 - 1.00e+00 1.00e+00f 1\n", + " 109 -1.5226282e+09 5.91e-04 1.34e-03 -3.8 1.06e+01 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110 -1.5226283e+09 5.37e-04 1.29e+02 -5.7 1.38e+02 - 8.10e-01 3.76e-01f 1\n", + " 111 -1.5226283e+09 2.31e-04 1.61e+03 -5.7 8.82e-01 -4.2 6.37e-01 5.69e-01f 1\n", + " 112 -1.5226283e+09 1.03e-04 6.24e+02 -5.7 1.20e-01 -2.8 1.00e+00 5.53e-01f 1\n", + " 113 -1.5226283e+09 5.85e-05 3.75e+02 -5.7 3.30e-01 -3.3 1.00e+00 4.33e-01f 1\n", + " 114 -1.5226283e+09 5.80e-05 3.73e+02 -5.7 2.29e+03 - 4.80e-03 9.97e-03f 1\n", + " 115 -1.5226283e+09 5.79e-05 3.63e+02 -5.7 8.38e+02 - 2.95e-02 2.58e-03f 1\n", + " 116 -1.5226283e+09 5.74e-05 3.47e+02 -5.7 4.26e+02 - 4.98e-02 1.10e-02f 1\n", + " 117 -1.5226283e+09 5.70e-05 3.34e+02 -5.7 1.45e+02 - 4.01e-02 1.28e-02f 1\n", + " 118 -1.5226283e+09 5.19e-05 3.08e+02 -5.7 1.35e+00 -4.3 1.87e-01 9.06e-02f 1\n", + " 119 -1.5226283e+09 5.03e-05 2.94e+02 -5.7 1.08e+02 - 4.56e-02 4.42e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 120 -1.5226283e+09 2.78e-05 1.60e+02 -5.7 1.04e+00 -3.5 4.01e-01 4.49e-01f 1\n", + " 121 -1.5226283e+09 2.10e-05 1.25e+02 -5.7 4.95e-01 -4.0 4.03e-01 2.42e-01f 1\n", + " 122 -1.5226283e+09 2.09e-05 1.23e+02 -5.7 4.63e+01 - 1.08e-02 3.09e-02f 1\n", + " 123 -1.5226283e+09 3.10e-05 1.20e+02 -5.7 3.13e+01 - 2.45e-02 3.19e-02f 1\n", + " 124 -1.5226283e+09 4.94e-05 1.09e+02 -5.7 1.99e+01 - 9.48e-02 6.06e-02f 1\n", + " 125 -1.5226283e+09 9.00e-05 5.51e+01 -5.7 7.90e+00 - 1.00e+00 1.54e-01f 1\n", + " 126 -1.5226283e+09 2.64e-04 1.99e-04 -5.7 7.14e-01 - 1.00e+00 1.00e+00f 1\n", + " 127 -1.5226283e+09 1.42e-06 4.93e-04 -5.7 1.01e-01 - 1.00e+00 1.00e+00h 1\n", + " 128 -1.5226283e+09 5.83e-10 4.57e-08 -5.7 2.26e-02 - 1.00e+00 1.00e+00h 1\n", + " 129 -1.5226283e+09 9.23e-08 1.91e+01 -7.0 5.39e-01 - 1.00e+00 5.42e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 130 -1.5226283e+09 4.98e-08 5.95e-06 -7.0 2.43e-01 - 1.00e+00 1.00e+00f 1\n", + " 131 -1.5226283e+09 6.69e-10 4.64e+02 -7.0 1.02e-03 - 1.98e-01 1.00e+00h 1\n", + " 132 -1.5226283e+09 5.59e-10 5.30e-11 -7.0 3.64e-06 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 132\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -2.5544162560830932e+07 -1.5226283238739488e+09\n", + "Dual infeasibility......: 5.3016998059424539e-11 3.1602203712809465e-09\n", + "Constraint violation....: 1.1641532182693481e-10 5.5854076919104045e-10\n", + "Variable bound violation: 6.2899274233096242e-09 6.2899274233096242e-09\n", + "Complementarity.........: 9.0909391369495014e-08 5.4188981093311786e-06\n", + "Overall NLP error.......: 9.0909391369495014e-08 5.4188981093311786e-06\n", + "\n", + "\n", + "Number of objective function evaluations = 133\n", + "Number of objective gradient evaluations = 133\n", + "Number of equality constraint evaluations = 133\n", + "Number of inequality constraint evaluations = 133\n", + "Number of equality constraint Jacobian evaluations = 133\n", + "Number of inequality constraint Jacobian evaluations = 133\n", + "Number of Lagrangian Hessian evaluations = 132\n", + "Total seconds in IPOPT = 510.923\n", + "\n", + "EXIT: Optimal Solution Found.\n" ] + }, + { + "data": { + "text/plain": [ + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212160, 'Number of variables': 211203, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 513.1680381298065}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + ] + }, + "execution_count": 127, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ @@ -3278,7 +3426,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 128, "id": "scientific-nudist", "metadata": {}, "outputs": [], @@ -3290,13 +3438,13 @@ " np_to_grid = [m.period[t, d, y].fs.np_power_split.split_fraction[\"np_to_grid\", 0].value \n", " for t in set_time]\n", " # Hydrogen production rate in the PEM electrolyzer (convert it to kg/hr)\n", - " h2_production = [m.period[t, d, y].fs.pem.outlet.flow_mol[0].value * 2.013e-3 * 3600\n", + " h2_production = [m.period[t, d, y].fs.pem.outlet.flow_mol[0].value * 2.016e-3 * 3600\n", " for t in set_time]\n", " # Hydrogen flowrate to pipeline (convert it to kg/hr)\n", - " h2_to_pipeline = [m.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0].value * 2.013e-3 * 3600\n", + " h2_to_pipeline = [m.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0].value * 2.016e-3 * 3600\n", " for t in set_time]\n", " # Hydrogen flowrate to turbine (convert it to kg/hr)\n", - " h2_to_turbine = [m.period[t, d, y].fs.h2_tank.outlet_to_turbine.flow_mol[0].value * 2.013e-3 * 3600\n", + " h2_to_turbine = [m.period[t, d, y].fs.h2_tank.outlet_to_turbine.flow_mol[0].value * 2.016e-3 * 3600\n", " for t in set_time]\n", " \n", " # Plot the results\n", @@ -3317,10 +3465,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 129, "id": "disabled-invitation", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optimal PEM capacity : 196.26160215981525 MW\n", + "Optimal tank capacity : 1.873296230838106e-05 kg\n", + "OPtimal turbine capacity: 9.076616170113655e-05 MW\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Print Results\n", "print(\"Optimal PEM capacity : \", m.pem_capacity.value * 1e-3, \"MW\")\n", @@ -3333,10 +3501,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 130, "id": "brutal-sigma", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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wQlj9tkmPoEO6JM+FhDazFMUpmFUTGMeJho5BFfxGsX2BpzFK8SDGXh8Y72Hwh4AvVhV/z41ZcYxZolRzThBGEE3nDsKsbiYCvyxlkpma828Bfg1sj/lOf7+USdabsdwHrAC2wpjDKqyBYJHtLTImPQLRJaGvOQn4IfBNzHf1Drxnon74DVARjFJUZp454Gqr6D4WpHEv3mPLmrJjgtQVBIBoOjcR48DwIWA58FA0nbuxlEk+XnXZycDjpUzyY9F0bmtgcTSd+00pk/xXdVulTHIZsAwzYHSSMekRiC4JfYxmJca5p2n8nkG9CdwC3OLGrI0xCnanG7POsYruJa10GCZLJr2VI39+f+DrH3vqBXZe+9xQAC4YZ4slU7ce1s6SSW9l5zeGbxPk19fjK1az+6yRO3k/vmL1UL3RrmlUp5m+guB3H0HuPci9Auz+tumc9bF3NCvi3sCSUia5FCCazl0DHApUD1Aa2CyazilgU+BFYF2zHYVFv+lRK0gQrjAqil8BekS5HunQU4vvgypPoZIYpYpilmo9t3/NB9cug6lgJqvB2Hntc3xg6YNQ9dv6gaUPwo77UD1Z3fmNf5r2m+hr91nTOTS+zbCy2uN619Tidz5oO/UIch9B7j3IvY6BbTDmsQrLMVuzV/Mj4EbgGczzpCNLmeT6dgnQDvpFj1pFgnCFBlQ772yCeV76TJCKfk4SWWAPTLDV2VbRbfohbKc4ZO1SDlm7lLd/8bjAdZYd81OYzrDAwU8ccyyfeD4/rJ3qFVarfQF8Zp/t+cw+2ze8pja9//7AR+fMYfMjj2iqryAEuY9W7z3IvVaxkVJqYdXxXM81Guo/r6mdjX0EKAAHAjsBt0fTuXtKmeTqoAKEST/p0VjopSDcettkyIquS+iafdcUVwN/DFLVbwV1DMZnfVfglKrIdQVoq+i2ZlcSgPpKtPahhwCYutdeAEOp/sMYoNpFvfsAmB58YF2ntd5zlHPLMQlWK2zLyNnXcUDG24hwSTSdexKIAQvqNRhN5/YHvg28HaMDCtClTHLHIMK2gOhRyNSaGGv1CPpjRVd7HwM6qO6CcWjyxe8ZVMP9ooSxUdlrpnrzs6l77TXsh33ZMcd2S7zA1LuPNg6sDwG7RNO5HTA56D6NcTSo5ilMCqB7ouncTGA3GruxXgr8Bya90ZtjFdAP0aPwqTUx1uoR9If7/Gh5P9syQCm2A67A2OfXA3PRXIxiC0wy4ijGG/QINKu8OmcAn8foySlobvXK3wtcDkwBbgJOHRbrNLzfNRirh/LeywRIFAv+Jr6FmFQsNwN3WkX3tSCNCsEZlL1mau+jXQNrKZNcF03nvgLcinEzv6yUST4WTedO8s7/DJNF4fJoOudglOD0Uib5fINmXyplkje3RcAAiB51hloTY79SfR9tHlTXAV9H8zCKzYBFKG7HBKnfgSaDIo3Jm3c6it0xE8J3YBIe/xHFrmjexMQ0nYjJkHITcBDm+z0SzWatCuxn4nsfcIDX+dluzHoB80Nxs2xZLXSKUiZ5E0YJqst+VvX5GczGf0HJR9O58zFOCq9XtRPW3kyiR0L3MfszrfA+r0HhYpyQDgVme1dlgTsxK5xDgWu8LdufRLEE2BtFCZiOxrjoKq4ADqN2gFI+qYy0/15ofia+dZ6wd4KJXMekW/kfN2btgtkq4Mt+nQhCj1HxAqx+7qUxThZtR/RI6DkUUUzS4geBmUObC2pWoIbsidtgVkgVlntlb3ifa8trqQTDb4LRtb9gLBzv9Po9wE/MQPmQKnhpVS4DLnNj1gQ6H/AoCGOmlEkmutm/6JEQEo28YTeg2BS4DvgamtUN8pqM5kEbxLMWNAmvlWuAE9E43vEewDdG7bWKIHFQ7wBWWkX3OTdmbQl8FxMMebZVdJvdKkAQuo6XGuks4P1e0V3AOaVM8qWw+hQ9EjpAI29Yg2ISZnD6DXooDu9ZFLO81dMsYKVXPpoH7XLvc235aMSGBicAzaMoswGnH0G8i35W9flcjAfGDYBkZxX6lcsw+feO8F6rCf/7LHokdBeFwniwuugNW81ggtxT3ucUMK+q/NMoNkaxA8Y9fIFnDlyD4n1em8dW1amHi+KXKGaj+ACKXwCBvD/8vPjOAnYGvuTGLIWJAL4ME2OyrRuzvoXxSro7SGdCONSLQ6p1+xaGsVMpk/xk1fHZ0XSuEFZnokf9Q20c0oDp0f6YmDwHReX7fiaQAa5F8XlMyMbhAGgeQ3EtJq3YOuBkz4MPzKafl2PczG9mNA8+w3He9ad6x3ezIbN5Q/ycJM52Y9ZhmK17I8D7raJ7BoAbs/7dKrrnBOlkPNKG4NXA1ItD2iQWY/qcOW3tZ4B4NZrOHVDKJO+FocDdpjcQDIro0djoZPBqbRzSQOmR5l5Gz6T/wVHqnItZ8deWL8RkRwnS72sofozJHqGBxWjeCFI1iJPEOZgR7w28jLSePb1RnMm4J+Tg1REMSjxVh/gSkPWeRSlMctnPhdyn6FGLhBq8WodBiafqGRSzMe7rJYy+bYcihcbXYuA7QFlF9waMrby67DGMmUJoQFjBq8LYKGWSBeBd0XRuuncces4+0aOxEWLwqhA+FwAfRrMYAMWumL3R3utXsaGThBuzoj7nlRuztm10jSD0CtF07mjv/bRoOncacAJwQtVxKIgeCeOcSUODE4DmCWBSkIp+K6jzvTiNeZi8Zc9hgq52BhIYu+VZDA/aGsKNWSWMt9SbwDqr6O7pxqwReZ+sorsqiLC9TO0zpwF7uDooTPPe66VeqZ9HrD2MSY9g/OhSvWe3W689lQlTp3ZJIqENLEJxKXCld/xZjB744uckcbgbs3b3GjwemAWsxbgI3gScGyCvWMIqutV29jRwh1V0M27M2pD3qc+pfeY0UA9XB4RSJvlz7+MfS5nksNgjz1EiFNqkRzAOdKnes9sJU6cyccstG9QSepyTMLten4J5BnU38JMgFYM8g3oc+O+xSFfDaHmf+h5xVOgbLoERecLqlbWNEPQIBlSXRujR7K6JIowVxQRgEZo9YFjsVSCaSnXUAhq4zY1ZGvi5VXTnAjO9VC9YRXeFG7PquuIopU7EZMtl8uTJIYvZOV4rFoecJXrNDBg0nqr6Hka7pheJpnP7AvsBW9c8c5qOyZTey4guVbF+7dph38FeMwMGNVX2+n2MGc16FH9BsT2ap5qtHvYAtb9VdJ/xFOd2N2YVg1b0ckjNBZg2bVqYzwc6Rq3Jr9fMgEHiqerJ22v30YDJmPRCGzH8OdRq4FNdkSg4okse9cx9vWYGDGKq7If7aBOzgMdQLMBs3GnQHOJXMdQByiq6z3jvK92YdQOwN/CsG7NmeTO+6rxPfUUrq4jNjzyi53bGrbeia2Sm7MV7CEopk7wLuCuazl1eyiSXdVueZhhkXapeRQTRo0kzZjBpxoyeMgPWroTq6tLs4XV68T5C4uxWK/qlOpqBSYWxM+AA/2sV3UAxI27MmgZMsIruGu/zhzHBipW8TxmG533qG/p8FTFEr6/oQuSX0XTu8FIm+U+AaDq3OXBNKZP8SBidjUWPvPoDq0u1q4V+/A7WW/H0432EhuYuFBHMpEoDD6EpB6nqt4K6AuMOeAkwB/ghwSPuZwI3uDGr0s9VVtG9xY1ZDwHXujFreN6nPqKfVxHVDMp9tMBWlcEJoJRJroqmc+GkJTCMRY9ggHWp7iqizxiEewgVxQnAt4A/Ybz4LkFxDprL/Kr6DVARq+hWPI9udWNW4B1HraK7FHhXnfIXGC3vkyB0hvXRdG77Uib5FEA0nXs74cZBtaxHILok9D3/CbwbzQsAKLYE7oOxD1DKjVmbsyHB4MTqY6vovtiqxILQRf4buDeazt3lHb8fz8stJESPhPHMckyQeYU1wNNBKvoNUG/BmCaqM+BWZn8a2DGggILQM5QyyVui6dx7gPdhvtv/Ucokw0zaKnokjGf+ATyIYh7m+34osACFCfXQo8dH+WWSiLZPRkFojWg6dxBwMSZW6ZelTDJT55rZwA8wOb6eL2WSH/Bp9k2M19smwO7RdI5SJhnKfkyiR8I45+/eq0LFmadeyrFh+HnxNYyst4puU7Z0QWiWaDo3Efgx8CGMqeChaDp3YymTfLzqmrdiUqccVMokn/JzeIimcydgNk/bFihgVlL3AweGcQ+iR8K4RofkZg4sBB7DJLeE4SYKTUgKLQwGtbFiG1sxImee2WwzewNLSpnkUoBoOncNxkTweNU1nwGurzg9lDJJv3igU4G9gAdKmWQims7FGEOsRgBEj4SWqY2xgpZ1qe/wG6C+DnwSs9voNcANVtF9OXSpuky/pvLpJdoYA7INwx+oLgf2qblmV2BSNJ27E2M2uLiUSTby+X2tlEm+Fk3niKZzG5cyyWI0ndutXQLXYVzqEQz/cR24ND4dYACzSjSF3zOoi4CL3Ji1A3AUcIcbs5YB51lFt9CobrcZbcv1auoNPIMShNttmoyx2kgptbDqeK6Xngfqb1Fd6xK+EWbzsw8CU4D7o+ncA6VM8olR+lvumQV/D9weTedWAc8EFbZZ+lmPIJgu1Rt8an9cBzSNT6iM9xirQKmOrKL7pBuz5mGU/xjMjLWnFateLqxa6g084zh4tZus01rvOcq55cB2VcfbMnIwWY5xjHgFeCWazt2NiRuqO0CVMsnKLrbfjqZzeYyX3S2tCh+UftQjCKZL9QafET+us0MUUuhdFFsDX8DsW7ZhzNEc71fVz0liR+DTGJv/0xjzRNC9a7qObH8xEDwE7BJN53bAuKt+GvPMqZp5wI+i6dxGmISw+wAX1Wssms5NAP5ayiT3gKH8fKHS73oEAXRpdsdEEfqPecA9wB8x3rOBabjlO7AEOAIzu7wf2B74shuzTnNjVmhbZAtChVImuQ74CnArZoO/a0uZ5GPRdO6kaDp3kneNi/mO/hVYgHFFf3SU9tYDf4mmc9t35AYMokfCeGYqmtPRXIvmuqFXAPxMfOewwd6/ac25nkvb38t7LQmtU8okb8LsPFtd9rOa4/OB8wM2OQt4LJrODUv/X8okfdP/t0hf6RE0n2FcEBowH8XB6OE6HAQ/J4lvj3bOjVlfa7azMBnHmbmFgHgee68Trkv5CPpJj2AwMowLPcWpwJko/gX8C+P4pNFM96s4lv2gTsNE7vcE4twgBOB+zLbuJ5QyyWO6LYxHT+kRiOeY0Ga0f8aI0RjLAFXP/VcQepnJ0XQuBewXTec+UXuylEle3wWZRI+EwUahgM8CO6D5DortgFloFvhVHcsA1ZO2c0FowEkYRXkr8LGacxroxgAleiQMOj8B1mMypnwHeBmTvmwvv4p+buZrqK9AChPL0ajudpiN2iKecHOtonuxG7O+jfGJr6R9OdMquk0/PBOEZillkvdittlYWMokL+1Uv2PRI6++6JLQz+yD5j0oHgFAswrF5CAV/ZwkWrYdAuuAr1tF92E3Zm0GLHJj1u3euYusovv9MbQ9rqhNvVTvvHhZBaeTgxOMWY9AdKlt1MtrV42kYwqFN1BMpDJJM4G764NU9IuDahmr6K6oZGm2iu4aTAzLNmH1N6hMnzPHd/ARL6vBRnSpPUzcckvfwWfg0zEpDkKxGMUSFOkO9fpD4AZgBopzgXuB84JUHMszqMC4MSsKvBt4ENgf+Iobs47FZHn+ulV0V3VCjn5EvBOFakSXWieQd+LsjonTecwqZtjWNShuRA/bGaD9aH6DYhEmV6YCDkPjBqka+gDlxqxNgeuAr1lFd7Ubs36KeVCmvfcLYGROJqXUiXjbcE+eHMhcKQiBiKZzd5QyyQ/6lfUaoejS1xiZDbAAxFsQsMDwH/h67QS5xq/t0erUtl3vfLN9BaGZv1ez99Hq/6I+ewNL0CwFQFFv65r2o9gCszno1VVlk9C84VtV6/CciNyYNQmYD9xqFd0R2/p6s8H5VtHdo1E7Sqn1mK0KqtkIY5vvN/pR7rBlnqK1Ds3cXCGazm0CTAXymJ+Aiov3dODmUiZphS1Dq4gujaAfZYZw5Z4CVG9+Wb0rACg+BRyE5gTv+BiMA8NXQpKn0m8Jk/B5FUbn3gqswAxaX0CzaLSqoa2g3JilgEsBt1qh3Jg1yyq6K7zDj4l/FDoAACAASURBVAN1c6ZVU+/HSym1sEEG7J6lH+XuR5lH4YuYNcPbGK7IqzGmj55EdGkk/SgzdF3uIFvXhMEtwA1obvWk+DBwEHAtxgW9dn+3IcI08e2P2VLAcWNWxYhwJnCUG7PimD9MCfOjIQihU8okLwYujqZzXy1lkpd0W54mEF0S2kGQrWvCYE80Jw0daW5DcR6a01Bs3KhiaAOUVXTvpf6ILXEaQleIpnMHljLJPwH/6KFMEr6ILglt4iFgFxSNtq4JgxdRnI7ZZgbgSGCV57TR0N28I158ITHX/5KepB/l7keZ6/EB4E+MzCIB3csk0Qv04/+3H2WGbsqtWYca2rpmInAZmsc60PNngLMwO1grjJv5ZzwZGrooh+okIQiCIAgAKKYD69G8HLRKP6+gBKEpoulcw80BS5nkCO84QRDGiMLGpOrawjt+Hkih/Z16ZIASxhNjTTkkCELz/Bw4DU0eAMVsjKlzP7+KfWniU0odBFyMsWH+Umud6bJII1BKXQbMAVZqrffwyrYAfgtEMV5XR2iteybyXyk1Iimp1vriXpdbaI1+0CMQXep7FH9B8y7fsnpV+22AUkpNBJ6gOl0HHKW1DjcaukmUUu/HpJW/okqpvge8qLXOKKXSwOZa69O7KWc1SqlZwCyt9cNKqc2ARcBhwOfoYbmbJZrO7Yj5YX4fxjnifuA/Spnk0q4K1kH6RY9AdKnvUdyAiTu80is5GuN6fphf1dCj90Ngb2CJ1nqp1vpfMJSuo6fQWt8NvFhTfCiQ9T5nwf8f1Em01iu01g97n6uTkva03C1wFSZIcBYmaPd3VKdhGR/0hR6B6NIAcDywNcZL9npgK+C4IBX78RnUNsDTVcfLaRCJ3GPM1FqvAPMFVkrN6LZAo6GUirIhKWnfyB0QVcokr6w6/nU0nQs33Uvv0c96BH30nRxwXWqMiXX6HZp/b6V6Pw5Q3UrXMW5QSg0lJdVar1Zq4HYlz0fTuTRm1aAxgYO5aDq3BUApk6ydrQ8iokcdYBzoUmM0b6JYi+ItaF5qtno/DlDdStfRDp5VSs3yZk6zMMkSewql1CSMQv1Ga10JXO15uZvkSO+9NjXQ8Zgf6R07K05X6Gc9gj74To4TXQrCa4CD4nbglaFSzSl+FftxgHoI2EUp1el0He3gRiAFZLz3ed0VZzjKTO8uBVytdXVMUE/L3SylTHKHbsvQA/SzHkGPfyfHiy4FJOe9mqbvvPgAlFIHAz/AS9ehtT63yyKNQCl1NWZLh62AZ9mQ6uNaYHvgKeBwrXXPmJOUUgcA9wAOG3JknYmxnfes3EGJpnN7AU+XMsmyd3ws8ElgGfDtcWLaG6If9AhEl8YzfTlACUIrRNO5h4F/L2WSL0bTufdjnkF9FbMlnFXKJD/VVQEFYZBQODR6rql5p18T/WjiE4RWmVi1SjoSmFvKJK8Droumc7X7ygqCMDbmeO8ne+8Vz9nPAmuDNNCPcVCC0CoTo+lcZVL2QUxm8woyWROEdqJZhmYZsD+a/0LjeK808JEgTcgAJYwnrgbuiqZz8zDbnt8DEE3ndobmXWAFQQjENBQHDB0p9gOmBakos0Zh3FDKJM+NpnN3YDJI3FbKJCv28QmYZ1GCILSfzwOXoXgL5pnUS5iQDl/ESUIQBEEID8VEL2B3OqCaCdgVE98YUEq9VSn15arjtyml/i+kvg5TSn3L+3y5UsrX40wpNVkpdbdSSlbKQs8iejTwLEFxPrBNs9kkZIAaG28FhhRLa/2M1josV+X/An4S9GKl1EQvCegdbMicIAi9iOjRYPNOTOb8S1E8gOJEbzXliwxQYyMD7KSUKiilzldKRZVSjwIopT6nlPq9UuoPSqknlVJfUUqdppR6RCn1gLcvDEqpnZRStyilFiml7lFKxWo7UUrtCryutX6+qvj9Sqn7lFJLK7NApdRspVReKXUVJkAQTEDjZ8P8IwjCGBE9GmQ0a9D8As1+mAnCWcAKFFkUOzeuq7W8WnxhNh17tN4xZt+XJZhdXLfGPBg8yTt3ESZ5JJiZ2S7e532AP9Xp5zjggqrjyzFbREwAdsdsmwAm2v4VYIeqaycCz3X7byUveY32Ej0a8Bd6okYfotE3aPQjGn2aRs/U6E9p9BON6opNNVzy2uwFs0Yp9RLwB6/cAd7pZTreD/hdVZbjjeu0Mwt4rqbs91rr9cDjSqmZVeULtNZPVg601m8qpf6llNrMk0UQ+g3Ro/7mb0AeOB/NfVXl/4fi/Y0qygAVLq9XfV5fdbwe87efAPxTax33aedV4C0N2q7O4f8KI9kYk1FYEPoR0aP+5p1oXq57xiejuQxQY2MNxvTQEtrsD/OkUupwrfXvvAzI79Ra/6XmUhezTXLTKKW2xJgm3mhVTkEIGdGjQURxCZVcfPV3H/PdbkOcJMaA1voF4M9KqUeVUue32Mxngc8rpf4CPEb9bbfvBt6tWtvtLAHc1KJsghA6okcDy0Jgkfc6pOpz5eWLBOr2CUqpi4E/aK3/2GS964EztNaLw5FMEPoH0aMuoXgEzbubrSYrqP7hPGBqMxWUUpMxD4FFqQTBIHrUHVpaCckKShDqYGftGcD+wNswD9cfBRY6KWd9w4qCIIxE8TCa9zRdTQYoQdiAnbUTQBrYAngEWAlsAuwK7AT8H3CBk3JWd01IQegHFGvYsHKayoY9oBSg0f7ZJMSLTxCGczDwBSflPFV7ws7aG2E2YfsQcF2nBROEbhLJFzbBfP//jeGWhVw5EX9sRAXdumdmBVlBCUINdtaeAHzKSTnXdlsWQegFIvnCtzGeeHdivPOqLQsJ7/PXy4n4X9vZr6ygBKEGJ+Wst7P2VwEZoATB8FA5Ef/2KOcujOQLM4Dt292prKAEoQ521v5/GBPGb6nKKuCknBe7JpQgdJFIvjARyJQT8f/sVJ/iZi4I9TkeOBkT3FkJLFzYVYkEoYuUE/E3gfdG8oVWAp1bQlZQgiAIQiAi+cIFwC6YLPBDloVyIn59GP3JMyhBGAU7a++H2fphSE+clHNF1wQShO6zBfACcGBVmQZCGaBkBSUIdbCz9pWYuKcC8KZXrJ2U45vgUhCE9iArKEGoz57A7k7KkRmcIHhE8oWtgS9QY1koJ+LHh9GfDFCCUJ9HgQiwotuCCEIPMQ+4B/gjGywLoSEmPkGows7af8DY1DcD4sACqja1c1LOIV0STRC6TiRfKJQTcb+NIduGrKAEYTjf77YAgtDDzI/kCweXE/GO7I0lKyhBqMLO2rcCtwA3Oymn2G15BKEXiOQLlcSvCpiGsSq84R3rciLum/i1FWSAEoQq7KwdAQ7yXrsCD2IGrDuclPNyN2UThG4RyRcmlRPxjm93LwOUIIyClzR2H+CjwAcxqY9uc1LO97oqmCB0mEi+sBBYjpms3VJOxEud6FcGKEEIiJ21twI+4qSc33RbFkHoNJF84e2YydpBwDbAvcDNwF3lRPz1RnVbRQYoQaiDnbUvYeQ21S9hdtWd1wWRBKFniOQLkzD7Qh0EzAaeKyfiyXb3IwOUINTBztpzgRgm5xjAJ4HHgO2ApU7K+Vq3ZBOEXiOSL2xTTsT/0e52xc1cEOqzM3Cgk3LWAdhZ+6fAbZjddJ1uCiYI3SKSLziMYlmI5Av/U07EX2hnf7LdhiDUZxuMO22FacDbnJTzJlWBu4IwzrgZyAGf9V5/wGSWKAOXt7szWUEJQn2+BxTsrH0nJtbj/cB5dtaehknzIgjjkf3Lifj+VcdOJF/4czkR3z+SLxzd7s5kgBKEOjgp51I7a98E7I0ZoM50Us4z3umO7SgqCD3GppF8YZ9yIv4gQCRf2BvY1Du3rt2diZOEINTBztrnOCnnW1XHE4ArnZTz2S6KJQhdJZIv7AVcxoZBaQ1wAsaBKFlOxK9tZ3/yDEoQ6rO9nbXPALCz9sbA74G/dVckQeg6fy0n4jYmkfK7y4n4O4El5UT8lXYPTiArKEGoi521FfAbjMdeApOb76LuSiUI3SWSL+SAQ8uJ+DrvOALkyon4e8PoTwYoQajCztrvqTqcBPwc+DNwKYCTch7uhlyC0AtE8oUvAElMXOB2wI3AN8qJ+G1h9CdOEkJfYGfticBC4B9OypljZ+0tgN9idvYsAUc4KWeVd+0ZwOcxG6qd4qScW73y92JcYacANwGn1tkx94Ka41XA7l65Bg5s970JQieI5AuXAXOAleVEfA+vbIQelRPxVaO1UU7EfxHJFyZjTN5R4IvlRPy+sGSWAUroF04FXKCS1j+NyTCesbN22js+3c7auwOfBt4BvA34o521d/Xil34KnAg8gBmgDsLEdQzhpJxEJ25GELrA5cCPgCuqytLAHeVEPBPJF4b0qLZiJF84repQYVZPBeB9kXzhfeVE/MIwBBYnCaHnsbP2thizwi+rig8Fst7nLHBYVfk1Tsp53Uk5TwJLgL3trD0LmO6knPu9VdMVVXWq+zrae/40miw72Vn7gDHflCB0mHIifjfwYk3xaHpUy2ZVr02BGzC6VSkLhb5YQU2YMEFPmTKl22IIIbF27VoNVD/bmau1nlt1/APgvxiuCDOdlLMCwEk5K+ysPcMr3wazQqqw3Ct7w/tcW17LlpgA3UXAIuA5YBNM6qMPAM9jZpl9iejS4BJAj+oxs5yIrwAoJ+IrIvnCjHoXlRPxs9skZlP0xQA1ZcoUXnnllW6LIYSEUupVrfWe9c7ZWXsOsNJJOYvsrD07SHN1ynSD8mE4KediO2v/CPOsaX/gnZh9oFzgGCflPBVAhp5FdGlwaaRHYyWSL8wFflhOxB+tc24acCTwejkRb+tWNH0xQAnjmv2BQ+ysfTBmJTPdztq/Bp61s/Ysb/U0C1jpXb8cYx+vsC3wjFe+bZ3yEXjPq273XoIwyDwbyRdmeaunaj2q5SfAtyL5gg08ygbLwi6Y58KXYcIy2ooMUEJDVv32WlbPnz+sbPqcOWx+5BEd6d9JOWcAlYDZ2cA3nJRztJ21zwdSQMZ7r+zRdCNwlZ21L8Q4SewCLHBSzpt21l5jZ+33YbZxPxa4pCM3IQh0X5dG4Ubq69Ewyol4ATgiki9sCuwJzMKzLJQT8cVhCScDlNCQ1fPn81qxyCaxGACvFYsA3VYqMAp1rZ21Pw88BRwO4KScx+ysfS3wOCY32MneigjgS2xwM7+ZGg8+QQiTbutSJF+4GrO54FaRfGE5cBaeHkXyhWF6NBrlRPxl4M5wJd1AXwTqTps2TYvdvDssO+ZYAN5+5RV1j9uBUmqt1nqa/5XCWBFd6h5h69Ig6pGsoAShDnbWngmch9kD6qNefNW+Tsq5tMuiCcK4wXeAcmPWvsDRmP3nK3bHRzGbVv3aKrovhSphQH73xO+4aelNTdc7eMeDOXzXDava0dqpvi5oX0Harr2mllb7CkKQtl9779+YXd6cL3rHt2zzPHdGVrHJLcc17L9e27EtYpy+94gYwF7lcuBXwH97x09gIu5bGqD6RY8EIQiRfGFaOREPfSneMFDXjVk3Y1Kp34qJup+FSfvyTYwHxzw3Zh0StpBBuGnpTSx+sblndYtfXDziR7ReO7XXBekrSNv1rqml1b6CEKTtJzd9lTsjGzKf3BlZxZObvurbfyv/jx5jKyflXAusB/C2fn+zcZX69JMeCUIjIvnCfpF84XFM2AWRfOFdkXzhJ2H157eCOsYqus/XlL2MCQZ7GLjAjVlbhSJZC+y2xW786qBfBb7+uJpVwGjt1LvOr68gbY92Tbv6akfbR/1g3xFlO7w8xffvE6TtHucVO2tviRcr5Xn/tbrK6Ss9EoQGXAR8BOP9RzkR/0skX3h/WJ01XEHVUaqWrhGEPuQ0jBLuZGftP2NSI321lYZEj4RBopyIP11T1JJlIQiBnCTcmPUJ4LvADExEvgK0VXSnN6woCH2Kk3IetrP2B4DdMN/3xU7KeWMsbYoeCQPA05F8YT9Ae1nNT8Ez94VBUC++7wEfs4puaIII4VIvSPC19/6NjbbYsksS9QV7Y7YU2Ah4j521cVLOWHyCRY8GgB4NuO0UJwEXY/JYLgduA04Oq7OgA9SzolT9TW2QIMD6tWtZ10WZehk7a18J7ITZUqBiwqhkQW8V0aMBoNsBt92knIg/D3y2U/01HKA8kwTAQjdm/RazSdXrlfNW0b0+RNmENrNJLDYsKHBCHQcIYYg9gd3rbGjYNKJHg0e1LlUCbscDkXxha+ALbLAsAFBOxI8Poz+/FdTHqj6vBT5cdawBUSxhUHkUiAAr2tCW6JEwKMwD7gH+SIjOERX8BqjTrKI76va/gjDAbAU8bmftBVStdpyU00q8kuiRMChMLSfiHYu29xugFrsx6zngPuDPwH1W0X0ifLEEoet8u41tiR4Jg8L8SL5wcDkRbz4zQAs0HKCsojvDjVm7Avt5r2+4MWtrzI6lf7aK7vc6IKPQArWeRrUOEkJjnJRzV7vaEj3qX+p6v45vXToVODOSL7yO2aVaAbqciIcSKuHrxefN9J4ALndj1k7AwZ6QH8a4zQo9SK2n0SaxGNPnzOmyVL2PnbXvdVLOAXbWXsPwHXcVoJ2U05Iiih71J/W8X8ezLpUT8c062Z+fF19lxrcvZpfSpZhZ39GYFC1CD1PrtSf446ScA7z3timi6FF/I3oEkXwhVk7Ei5F84T31zpcT8VC+x34rqHsxCnQh8Hur6K4N2rAbs3bDZH+usCPwLeCtGDfF57zyM62i2xF7ZqusW/kc6158gWW/Me6kEuA6uNhZe4tG552U82ILzbasRzA4ulTPXAbjKsi1nzkNOBG4oM45DRwYRqd+A9Tb2GA3P8mNWRthFO1+4H6r6C4draJVdBcDcQA3Zk0E/gHcABwHXGQV3e+PXfzOsO7FF1i/dsNvigS4DjSLMAqn6pzTmMGhWVrWIxgcXapnLhtPQa79TDkRP9F7T3SyXz8niTImRuN6ADdmTQWOB84GdgAmBuzng8DfraK7zI1ZrUvbRSZMnTq0zJcA18HFSTk7tLvNNuoR9Lku1ZrLxlOQ6yAQyRc2Ab4MHICZsN0D/KyciL8WRn9+z6DegrGbV2Z/7waWAH/AuMsG5dPA1VXHX3Fj1rHAQuDrEiMi9Bp21laYlC47OCnnO3bW3h6IOClnQbNttVGPQHRJ6C5XAGuAS7zjo4ArgeZ2Sw2In4lvCeZh7n3Ad4AFVtF9tXGV4bgxazJwCHCGV/RTry3tvV+AmU0OQyl1IsbmyeTJk5vpUhDawU8wmxUeiPmergGuA/Zqoa0x6xGILgk9wW7lRPxdVcf5SL7wl7A68zPxbd2GPj4KPGwV3We9Np+tnHBj1i+AkU9NAa31XGAuwLRp04blQyufdx6vu8Vh14vjgtBm9nFSznvsrP0IgJNyVtlZu6Vf9zbpEXRIl0AcF4RReSSSL7yvnIg/ABDJF/aheStAYPxMfDc2Om8V3SBpX46iyiThxqxZVtGt5Df7OCbn2ZgRxwWhzbxhZ+2JbNhRd2u87d+bpU16BB3SJXFcEGqJ5AsORhcmAcdG8oWnvOO3A4+H1a+fiW9f4GmMUjxIfc+mUfEeBn8I+GJV8ffcmBXH3Fyp5lwgImeeOaJMHBeENvNDjKfcTDtrnwt8Cvhmi22NSY+gs7okjgtCHboSmew3QEUwSnEU8BkgB1xtFd3HgjTuxXtsWVN2TAtyCkJHcVLOb+ysvQjjNQdwmJNyWt3LaUx6BKJLQncpJ+LLIvnCBOCv5UR8j0716/cM6k3gFuAWN2ZtjFGwO92YdY5VdC9pVLcfqA3ABXmWJQxjKsYFXANTWm1k0PUIJAh3PFBOxNdH8oW/RPKF7cuJ+FOd6NM3F5+nUEmMUkUxpo+B2L+mNgAX5FmWYLCz9rcwrrPXYUxyv7Kz9u+clPM/rbQ3yHoEEoQ7jpgFPBbJFxYAr1QKy4l4K9vQ+OLnJJEF9gBuBs62im5bHsL2EtUBuND9Z1kjspDLiq5bHAW820k5rwHYWTuDyf7Q9AA1HvQIeisIV1Z0oXF2JzvzW0EdgxkldwVOqYpcV4C2im4oKdbHC/VMjGsfegiAqXuZcJt+WNENqKm0BGwCVCLkNwb+3mJbokchUzsg1eoR9MeKrt7A2s5BNZIvlDAxfW8C68qJ+J7N1C8n4m3bhiYIfs+gJnRKkPFIPRPj1L32GvaF7PaKLggDaip9HXjMztq3Y55BfQi4187aPwRwUs4pQRsSPQqfWhNjrR5Bf3gn1t5HSINqopyIP99KxUi+UL0NzWSM2/krXdkPyo1ZCzFBWDcDd1pFN5R8S+OZWhNjvxKWqdTO2tth0qtEMHFIc52Uc7GXdfy3mOc5JeAIJ+Ws8uqcAXweM0s8xUk5t3rl7wUuxzg83ASc6qScYYGrVdzgvSrc2eo9iB51hkHZFqP6PnptUK3dDyqSLxwG7B1Wf34mvvdhkgIeBJztxqwXgFuBm2XLaqFDrAO+7qSch+2svRmwyFvVfA64w0k5GTtrp4E0cLqdtXfH5Kt7ByaL+B/trL2rk3LexKQGOhGTdugmzPf65nqdOikn28Z7ED0SOsFGSqmFVcdzvSwi1Wjgtki+oIGflxPx2vNNUU7Efx/JF9JjaaMRfia+dZiZ451gItcx6Vb+x41Zu2C2CvhyWMIJgpNyVgArvM9r7KztAtsAhwKzvcuymO/o6V75NU7KeR140s7aS4C97axdAqY7Ked+ADtrXwEcRs0AZWfta52Uc4SdtSuR87XyvLPZexA9EjrEOq213zOl/cuJ+DORfGEGcHskXyiWE/G7g3YQyRc+UXU4AdiTOnrSLnzdzKvx0qpcBlzmxqwJmAh5QRgrQWZ+2Fk7iskE/iAw0xu8cFLOCjtrz/Au2wazQqqw3Ct7w/tcW17Lqd57aJHzokdCtygn4s947ysj+cINGPNc4AEK+FjV53UY8/qhbROwhiBxUO8AVlpF9zk3Zm0JfBfYFOMuG1qSQGFc4Tvzs7P2ppiYpK85KWe1nbVHu3S0jQZHKx9G1aC3zM7aEYwCa+AhJ+WUG8nYCNEjodtE8oVpwIRyIr7G+/xh4Jwmm/llOREf9n2N5Av7AyvbJOYwgngX/azq87lAGfPw+FdhCCQItdhZexJmcPqNk3Iqwa3P2ll7lnd+FhsUZDmwXVX1bYFnvPJt65SP1ucJwALgE5g8fA/YWXvEVhZNIHokdJuZwL3e9hgLgFw5Eb+lyTbqZT4JLRuKnxffWcDOwJfcmKUwGZMvA2LAtm7M+hbGK6mZJaLQZurGIdVE9fcr3saBlwKuk3IurDp1I5ACMt77vKryq+ysfSHGSWIXYIGTct60s/YaO2u/D2MiPJbGivWfmEDdFzw5tsTs53RZs/cgetQ/jAiUHxA9Aign4kuBd/leWIdIvlDZcHPrSL5wWtWp6TS3I3RT+DlJnO3GrMOAqzBuvu+3iu4ZAG7M+ner6Da7PBRCoF4c0iaxGNPndCUBcbvZHxPo6thZu+CVnYkZmK61s/bngafwdvR0Us5jdta+FrMFwDrgZM+DD+BLbHAzv5lRPPg8lmMCGiuswWQkbxrRo/6hNg5pgPRorEzGmKQ3AqpdzVdjLAyhEMRJ4hzMQ7Q3MO67FXt6S4Fe44VOZ1cYlHiqWpyUcy+jb0/xwXqFTso5F2NGqy1fiEk5FIR/AA/aWXse5hnUocACO2uf5rV1YaPKdRA9apGwsyvUMijxVO3EyyBxVyRfuLyciC/rVL++A5RVdGsDFvG2Cfh4WEINAgOaXWE88XeGpzaqmBA3q3OtL6JHrdOh7ApCADo5OIH/M6ioVXRLDc4rYBur6C4f7ZrxTK8lohWC46SctiXFFD0aO72cXUEID78V1PlenMY8YBHwHCaB5s5AAmNiOYvh8SVDuDGrRFViQqvo7unGrBEpaqyiu2qsN9Jtas0Q6621TJg6tYsSCT3EmPQIxo8u1TPnDZKjgtAcDd3MraJ7OPD/gN2AHwP3YJTsBGAxcKBVdG/36SNhFd24VXQrcS5p4A6r6O4C3OEd9z0VM0SFCVOn9ns2b6FNtEmPYBzoUq0egTgq9BKRfGHbSL5wQyRfeC6SLzwbyReui+QL2/rXbI0gz6AeB/67jX2OlqKm76k2Q2xyy3FdlkboJULQIxhQXRInhZ7mVxhv1MO946O9sg+F0VlTqY5aQAO3uTFLAz+3iu5cYKaX6gWr6K5wY9aMhi0IHaOeeWW8mirtrL0tJk7qAEwW9Xsx2c+79ZxIdKmPGGBT5dblRLw6uPzySL7wtbA6C3uA2t8qus94inO7G7OKvjU8lFInYjJPM3ny5LDk6zjr164desjbaz/+9bbtrmeqrL4H6L37aBMdnSkGQHSpiteKxWHfwV778a+nS/VMlb1+H3V4PpIvHA1c7R0fBbwQVmehDlBW0X3Ge1/pxqxKYsJn3Zg1y5vxVaeoGYaXLHQuwLRp00LLltsqtT/SQb5YG22x5TA38158TlVrXqk1VdbeA/TmfbSBrZ2UM2ymaGft0GaKfgyyLlX/SAfRo3rPo3rxOZWfqbJf7qOG44EfARdhVvX3AaE9z/BzM5+BidrfGXCA/7WK7uogDbsxaxowwSq6a7zPlcSEo6Wo6Rvq/UgH+WJtNGNrNpqxNW//mvnd64XnVNUDbaBBtuYeoDfuIwSet7N2W2aKY9Ejr/7A6lKtzgTRo82PPKLnYqBaWQn14n0EYLtyIn5IdYGXLPapMDrzW0FdgXGLvQSz/cAPMRvFBWEmcIMbsyr9XGUV3VvcmPUQcK0bs4alqOkn6v1I9yO1A20fzN46STtnimPRIxhgXerTH+lh9OlKqFUuAd4ToKwt+A1QEavoVjyPbnVj1sNBG7aKbt3EhFbRfYFRUtQInWVQBtqQ2M5JOcNminbWbnWm2LIegehSrzMIg6wfPZksFlBuzNqcDbnQJlYfW0X3xbAEE4Qu086ZouiRy+s0vQAADs9JREFU0O/0ZLLYt2BME9XJOiuzPw3sGIZQgtAt7Kw9NFOsJIb1GMtMUfRI6Gt6MlmsVXSjHZJDEHqFts8URY+EQaHXksU2NGdYRbcpW7og9DpOyrkLuMvO2pc7Kactyih6JAit4WfiWwg8hkluCcNNFBo4MAyhhMGgNlZsYytG5MwzuyhRcNo1OHmIHgktU+vCDv2lS2PBb4D6OvBJ4FXgGuAGq+i+HLpUXWacZEoIlXqxYuOYcalH0HwQrjCcXnNVj+QLWwNfwGTQHxo/yon48WH05/cM6iLgIjdm7YAJVLzDjVnLgPOsoltoVLdfGUeZEkJFXNg3MB71CFoLwhWG04Mu7PMw2fj/iNn6JVQCpTqyiu6TbsyaB0wBjgF2BXpaseola6yl3spoHGVKEBpgZ+26M0Un5bQ8U+xHPYJgulRvddSDP67C2JlaTsQ7ljHfz0liR+DTmLT+T2PME+daRfe1Dsg2Juola6xFVkZCA9o2U+xnPYJguiSro3HD/Ei+cHA5Eb+pE535raCWAH/FKOtqYHvgy17KFayie2Go0o0Rv2SNsjISGjDVSTntmin2tR6B7NEkDHEqcGYkX/gX8C+Mw48uJ+LTw+jMb4A6B+NlBCY2pJqey4osCG1kvp21D3ZSTjtmiqJHwkBQTsQ387+qffg5SXx7tHNuzOra1gOj0WxmbkFowKnAmXbWHjZTdFJO0zPFftMjEO87oT6RfEEBnwV2KCfi34nkC9sBs8qJ+IIw+hvLflCnAT9olyBjRTJzC+3ESTmdmin2lB6BeN8JDfkJZofpA4HvAC8DPwb2CqOzsQxQyv+SziFuzUI7sbP20EzRSTnfsbP2dsAsJ+W0e6bYU3oE4n0nNGSfciL+nki+8AhAORFfFckXQtumeSwDlNjOhUGmUzNF0SOhY0TyhYOAizGJj39ZTsQzTTbxRiRfmIj3vfUCd9e3V8oN+LmZr6G+AilMLIcgDCr7OCnnPXbWfgTASTmr7Kzd0kxR9EjoBbyB5cfAh4DlwEORfOHGciL+eBPN/BC4AZgRyRfOxSRQ/mbbhfXwc5Jo2Q7vxqztMDuJRjAj7Fyr6F7sxqxvYwIgK3nJzrSKbkd86vuV2tRLI85LKqYweMPO2kMzRS9wt6WZ4lj0CMLVpf/3t+U8+vKrYxGvb3j9o4ezfu1aJlz1h1GvWf+BJBOmTmXjR/7WQcmaZ49Np/CdXbZtttrewJJyIr4UIJIvXIOJzQs8QJUT8d9E8oVFmI0yFXBYORF3mxUkKGMx8fmxDvi6VXQfdmPWZsAiN2bd7p27yCq63w+x74EhSE67QQ84trP2MLOEk3KaNUu0wtBM0c7aoc8UfRBdagMTt/TXkQlTpwa6rkfZSCm1sOp4rtZ6btXxNphA8QrLgX2a6SCSL2wBrASuriqbVE7E32hBXl9CG6CsorsCWOF9XuPGLBfzBxKaIIjzxyAHHHurmGFmCTtr3+iknGbMEk3jpJzf2Fl72EzRSTmhzRQbEaYutTAL72N26bYAYbNOa71ng/P1HHKafQb6MLAdsMpr763Aiki+sBL4QjkRX9Rkew2Z0M7GRsONWVHg3cCDXtFX3Jj1VzdmXeZtfT0CpdSJSqmFSqmF69ZJXuxxzN7AEiflLHVSzr8waYIODbtTO2tXzxSvAp61s/aksPv1Q3RJGAPLMYNLhW2BZ5ps4xbg4HIivlU5Ed8S+ChwLfBljGNRWwnTxAeAG7M2Ba4DvmYV3dVuzPopxitKe+8XACMScHpL07kA06ZNGzbKf3fBdym+WBx2/eIXF7PbFrs1Ld/iFxdzXNUKZLR2qq8L2leQtmuvqddGK30FoZW2g/x9mmk7AGM2S7RI3ZminbVXAl9wUk5bZ4pBCEOXhHHFQ8AukXxhB+AfmPyQn2myjT3LifhJlYNyIn5bJF84r5yInxbJFzZuo6wAKK3D+766MWsSMB+4tV6+MW82ON8quns0akcptR6zl041G0FfbjnUj3KHLfMUzIBQYch2bmftw4GPOCnnBO/4GGBvJ+V8NUR5sLP2z4AbnJRzq3f8YeAgzGzxYifldGKQHEJ0aQT9KDOEK/cUrXVDq1gkXzgYExg+EbisnIif20wHkXzhNuAOjCUD4EiM+f0g4KFyIt5w9+hmCW0F5cYsBVwKuNUK5casWZ5NHeDjwKN+bdX7oyulFvrYW3uSfpS7yzK3wyzRCns6KWdopuiknNvsrH2ek3JOs7N222eKjRBdGkk/ygzdl9vLQj4Wr+nPAGcBv8dYFu71yiYCbY/uDtPEtz9mzxvHjVmVPW/OBI5yY1YcY5YoAV8MUQah/3kI2MXO2mMxS7TCi3bWPp3hM8VVntNGaIGJoyC6JPQE5UT8eeCrkXxhOrC+nIhX7wy9pN39henFdy/1vUYk5kkIjJNy1tlZ+yvArXhmCSflPNaBrjs6U2yE6JLQK0TyBRsTk7eFd/w8kCon4r6r91YI3UkiROb6X9KT9KPcXZXZ2/Kioz/GTsp5HviqnbWnA+udlBPqTLHLyHeyc/Sr3BV+DpxWTsTzAJF8YTbmnvYLo7NQnSSE/9/e/YXIdZZxHP/+GtqKIbTWPz0rqMWq9CLvZvzXQhNCRrzwQmIu7IVEnNJCERUtvWkVq6ggwVKkiopCQo9SW2xIq7GotHAkNaHYNp5yqqEmJOBNpzYWY2xsleTx4pzZnd1sdrO78845Z/b5wDAzZ/68b5Z58j7v+fO8rq1CGuZkisBJoFf0iiiZonNtkGT5c/1uZ9NS20alzTMo52L6MXBH0SsygJCGbUTMFJ1rieNJlt8N/Kx6/mngRKzGxnKh7qhJ+pikFyQdk3RX3f1ZiKQ9kv4u6fmhbVdJelzS0ep+wQsr6yLpHZIySUck/VnSl6rtje53JOsHgxNA0St+D6yvrzuj14Y4Ao+lhrkFeCuwr7q9BYhWyqZ1u/gkrQP+ylDpG+BTZha19M1ySdpKuUTDT81sY7XtO8ArZrar+g/hTWZ2Z539HCZpCpgys8OSNgDPAjuAm2lwv2MIaXiE8tqs4UzxQ0Wv2FFfr0anLXEEHktNUVVD/12/2/nouNps4wzqeuCYmR03s7GVvlkuMzsAvDJv8yeAtHqcUv5gG8PMXjSzw9Xj08Cg5luj+x3JWDPFGrQijsBjqSn63c5Z4EyS5VeMq802HoOqq/TNKFxtZi9C+QOW9La6O3Qhkq5htuZba/o9CtW1Tg8XvWJsmWIN2hxH0KLf5ITF0mtAkWT548Crg439bueLMRpr4wxqFBV53SIkzdR8M7N/1d2fcSt6xVngTEjD2DLFGngcjcEExtJjwN3AAcrdloNbFG2cQdVV+mYUXpI0VWVOU5TVshtF0qWUAfWAme2rNje+3xG8BhQhDXMyxaJXRMkUa9DmOIIW/CYnMZb63U669LtGp40D1NPAeyWNu/TNKPwK6AG7qvtf1tuduSTN1Hwzs+GCpI3udySPVbdJ1eY4gob/JictlpIsL1hkht3vdqZjtNu6s/gAJM2pyGtmy6rIOw6SHgS2UR5cf4nZsjm/AN4J/A24yczmH/ytjaQtwJNAwWy9ua9Q7jtvbL/dyrQhjsBjqQmSLH9X9fDz1f3g7NadwJl+t/PNGO22coByLpaQhkUzxaJXRMkUnWuDJMsP9rudzUttG5U27uJzLqaPV/cLZorj745zjbI+yfIt/W7nDwBJlt9IxAvYfQbl3AJCGg4WvWLzUtucW0uSLP8gsAe4gnJPwyngln63c3jRD65QG08zd24c1oc0bBk8CWmImik61xJ5VRh2Guj0u51OrMEJfBefcxdyK7CnuhZqJlOst0vO1e5YkuV7KZeLPxK7MR+gnFtYXvSKTdV6UCp6xam6O+RcA0xTXpKwO8nySyh39z3U73aiXITsx6CcW0BIwwlgL+UKvtEzRefaJsnyrcCDwJWUsfKtfrcz0sU8/RjUKki6UtLnhp6/XdLeSG3tkPS16vH9kj55EZ+5TNIBST5TXr5pymrfu0MangppuK2aTbkR8zhqjyTL1yVZvj3J8keA+4B7gXcD+4mw6rXPoFahKgL568ESAJHbOgRsN7OTku6v2r1gEEtaZ2ZnJX2dsmr1A7H7OKlCGs7LFIteMWnLvtfG46g9kiw/DmTA7n63c2jea98bddFYn0Gtzi7gWkm5pHskXTNYVE3SzZIelbRf0glJX5B0h6Q/SXpK0lXV+66V9FtJz0p6UtJ18xuR9D7gdTM7ObR5q6RDko4PskBJ26pF0n5OeQU7lFfc74z5R5hEIQ3rQhq2V+tCRc8U1ziPo/aY7nc7t84fnCBORfM1P2VdpbuAjWbWgZlMcNhGyjL7bwCOAXea2fslfRf4DGWZmZ8AnzWzo5JuAH4IfGTe92ymXDxv2BSwBbiOsr7XIAu8vurTYBnm54EPr+LfuFYdpcwU7yl6xXAw7q1mVG50PI4aLsny71NVWEmy/LzXYy234QNUXFm1WNlpSacos28os7LpqhT/jcDDZW1JAC5f4HumgJfnbXvUzM4Bf5F09dD2Pw4FFdXuif9K2lD1xV2c6aJX/HuhFyaoonlbeBzV75mhx9+grIcYnQ9Qcb0+9Pjc0PNzlH/7S4B/DjLHRfyH8srtC3338No+r3K+yymXj3BLCGmYyRRDGs573QenWngc1Wx4mY0ky28f17IbfgxqdU4DG1b64WoBsxOSboKyRL+kTQu89QjwnpW0IenNwMtm9r+V9nONeYbZRdi2M3dRtmgLs61xHkftMrYz63wGtQpm9g9JB6sDur8BfrCCr9kJ/EjSV4FLgYeA5+a95wBwryTZ8k+77OIH9S9a0StmMsOQhtuHn7s4PI7chfhp5i0h6T5gv5k9sczP7QO+bGYvxOnZ5AppOFz0ig/U3Q83Oh5HK5Nk+WlmZ05vZLayvwDrdztRrhH0GVR7fBu4YTkfkHQZ5UHgNRlUzi3A42gF+t3OinfBrobPoJwbEtKwaKZY9AqvJuHcmPgA5ZxzrpH8LD7nnHON5AOUc865RvIByjnnXCP5AOWcc66RfIByzjnXSD5AOeeca6T/A9Tnsrr3JXZYAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Using `generate_plots` we plot optimal operating conditions for a specific day\n", "generate_plots(m, d=8, y=2022, set_time=m.set_time, lmp=m.LMP)\n" @@ -3355,7 +3534,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 131, "id": "brilliant-prairie", "metadata": {}, "outputs": [], @@ -3381,7 +3560,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 132, "id": "previous-sending", "metadata": {}, "outputs": [], @@ -3417,7 +3596,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 133, "id": "lightweight-prediction", "metadata": {}, "outputs": [], @@ -3452,10 +3631,75 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 134, "id": "returning-moderator", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ 0.00] Processing input information.\n", + "[+ 0.00] Beginning the formulation of the multiperiod problem.\n", + "[+ 217.43] Completed the formulation of the multiperiod problem\n", + "2022-08-23 10:37:04 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-08-23 10:37:05 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:05 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:05 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-08-23 10:37:05 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:05 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-08-23 10:37:05 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:05 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:05 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-08-23 10:37:05 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:05 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:05 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:05 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-08-23 10:37:05 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:05 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-08-23 10:37:06 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:06 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:06 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:06 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-08-23 10:37:06 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:06 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-08-23 10:37:06 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:06 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-08-23 10:37:06 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:06 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:07 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-23 10:37:07 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-08-23 10:37:07 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-08-23 10:37:07 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:07 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-08-23 10:37:07 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:07 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:07 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-08-23 10:37:07 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:07 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-08-23 10:37:09 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:09 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-23 10:37:09 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-23 10:37:09 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "[+ 5.44] Created an instance of the flowsheet and initialized it.\n", + "[+ 26.49] Initialized the entire multiperiod optimization model.\n", + "[+ 0.42] Unfixed the degrees of freedom from each period model.\n" + ] + } + ], "source": [ "# Build initialized multiperiod model: Constraints g(u(t,d)) = 0 and h(u(t,d)) <= 0\n", "build_multiperiod_design(m,\n", @@ -3478,7 +3722,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 135, "id": "elder-victoria", "metadata": {}, "outputs": [], @@ -3505,7 +3749,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 136, "id": "suburban-radar", "metadata": {}, "outputs": [], @@ -3533,10 +3777,204 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 137, "id": "liberal-riverside", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", + "tol=1e-06\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.14.7, running with linear solver MUMPS 5.5.0.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 580772\n", + "Number of nonzeros in inequality constraint Jacobian.: 7680\n", + "Number of nonzeros in Lagrangian Hessian.............: 195840\n", + "\n", + "Total number of variables............................: 211209\n", + " variables with only lower bounds: 20169\n", + " variables with lower and upper bounds: 176640\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 208326\n", + "Total number of inequality constraints...............: 3840\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 3840\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -1.2559159e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -1.5355493e+09 1.94e+05 2.06e+04 -1.0 2.80e+06 - 2.43e-03 8.89e-01f 1\n", + " 2 -1.5732609e+09 7.89e+03 1.24e+04 -1.0 5.04e+05 - 6.39e-04 9.90e-01f 1\n", + " 3 -1.5737278e+09 2.33e+02 4.40e+03 -1.0 1.01e+04 - 4.84e-01 9.71e-01f 1\n", + " 4 -1.5737296e+09 2.21e+02 1.17e+04 -1.0 2.04e+02 - 2.69e-02 5.23e-02f 4\n", + " 5 -1.5737432e+09 1.14e+02 1.23e+04 -1.0 1.02e+03 - 6.74e-03 4.98e-01f 1\n", + " 6 -1.5737728e+09 1.29e+01 5.26e+03 -1.0 3.95e+02 - 7.84e-01 9.92e-01h 1\n", + " 7 -1.5737782e+09 1.23e+00 1.13e+06 -1.0 3.37e+01 -4.0 5.46e-01 1.00e+00f 1\n", + " 8 -1.5740225e+09 1.35e+00 3.90e+06 -1.0 8.84e+02 - 5.47e-01 1.00e+00f 1\n", + " 9 -1.5747652e+09 3.14e+00 3.72e+06 -1.0 2.68e+03 - 4.76e-02 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -1.5747859e+09 4.29e-02 2.22e+06 -1.0 1.68e+02 -4.5 4.04e-01 1.00e+00f 1\n", + " 11 -1.5767248e+09 4.49e-02 2.19e+06 -1.0 1.49e+04 - 1.14e-02 1.00e+00f 1\n", + " 12 -1.5791179e+09 4.25e-01 1.99e+06 -1.0 2.27e+04 - 9.09e-02 6.91e-01f 1\n", + " 13 -1.5841947e+09 5.01e-01 1.80e+06 -1.0 3.51e+04 - 9.63e-02 7.93e-01f 1\n", + " 14 -1.5975256e+09 4.62e-02 1.62e+06 -1.0 6.32e+04 - 1.01e-01 1.00e+00f 1\n", + " 15 -1.5976020e+09 1.59e-04 4.60e+05 -1.0 3.29e+02 -5.0 7.16e-01 1.00e+00f 1\n", + " 16 -1.5976057e+09 3.03e-08 4.60e+03 -1.0 1.67e+01 -3.6 9.90e-01 1.00e+00f 1\n", + " 17 -1.6299658e+09 1.76e-04 4.59e+03 -1.0 2.61e+07 - 1.03e-03 4.68e-03f 1\n", + " 18 -1.6299700e+09 7.39e-06 4.57e+01 -1.0 1.86e+01 -3.7 9.90e-01 1.00e+00f 1\n", + " 19 -1.6303305e+09 1.10e-04 4.56e+01 -1.0 2.97e+07 - 2.20e-03 3.61e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 -1.6305480e+09 1.93e-04 4.55e+01 -1.0 3.36e+07 - 2.13e-03 3.05e-03f 1\n", + " 21 -1.6306623e+09 2.96e-04 4.54e+01 -1.0 3.01e+07 - 2.40e-03 3.45e-03f 1\n", + " 22 -1.6307205e+09 4.19e-04 4.53e+01 -1.0 2.65e+07 - 3.49e-03 3.85e-03f 1\n", + " 23 -1.6307870e+09 9.58e-04 4.51e+01 -1.0 1.49e+07 - 2.81e-03 8.68e-03f 1\n", + " 24 -1.6307920e+09 4.56e-05 1.14e+01 -1.0 2.74e+01 -3.8 9.94e-01 1.00e+00f 1\n", + " 25 -1.6308272e+09 4.50e-05 6.51e+04 -1.7 1.21e+07 - 3.96e-03 1.21e-02f 1\n", + " 26 -1.6308337e+09 5.88e-05 6.44e+04 -1.7 2.02e+06 - 1.06e-02 5.31e-03f 1\n", + " 27 -1.6308503e+09 1.02e-04 6.43e+04 -1.7 3.06e+07 - 1.06e-03 5.30e-03f 1\n", + " 28 -1.6308610e+09 1.49e-04 6.40e+04 -1.7 1.74e+07 - 5.42e-03 5.72e-03f 1\n", + " 29 -1.6308774e+09 2.51e-05 2.97e+05 -1.7 7.43e+01 -4.3 9.37e-01 9.73e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30 -1.6308829e+09 2.54e-07 4.41e-03 -1.7 2.98e+01 -3.8 1.00e+00 1.00e+00f 1\n", + " 31 -1.6308832e+09 2.49e-07 1.06e+06 -3.8 7.49e+01 -4.3 5.55e-01 2.21e-02f 1\n", + " 32 -1.6308993e+09 5.03e-06 1.06e+06 -3.8 9.29e+07 - 5.21e-04 1.59e-03f 1\n", + " 33 -1.6309009e+09 3.92e-06 7.47e+05 -3.8 1.53e+02 -4.4 1.24e-01 2.16e-01f 1\n", + " 34 -1.6309016e+09 2.95e-06 4.98e+05 -3.8 6.68e+01 -3.9 1.60e-01 2.45e-01f 1\n", + " 35 -1.6309021e+09 2.04e-06 2.90e+05 -3.8 3.15e+01 -3.5 2.27e-01 3.09e-01f 1\n", + " 36 -1.6309021e+09 1.99e-06 3.67e+05 -3.8 9.06e+01 -4.0 1.87e-01 2.21e-02f 1\n", + " 37 -1.6309023e+09 1.69e-06 2.87e+05 -3.8 3.43e+01 -3.6 9.14e-02 1.51e-01f 1\n", + " 38 -1.6309026e+09 1.50e-06 2.36e+05 -3.8 7.31e+01 -4.0 6.09e-02 1.12e-01f 1\n", + " 39 -1.6309027e+09 1.34e-06 2.82e+05 -3.8 2.78e+01 -3.6 3.14e-01 1.07e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40 -1.6309203e+09 2.56e-06 2.82e+05 -3.8 3.75e+08 - 1.65e-04 3.57e-04f 1\n", + " 41 -1.6309289e+09 2.94e-06 2.82e+05 -3.8 4.30e+08 - 1.89e-04 1.81e-04f 1\n", + " 42 -1.6309290e+09 2.28e-06 2.19e+05 -3.8 2.12e+01 -3.2 2.26e-01 2.24e-01f 1\n", + " 43 -1.6309292e+09 1.90e-06 1.73e+05 -3.8 3.41e+01 -3.7 1.10e-01 1.65e-01f 1\n", + " 44 -1.6309294e+09 1.74e-06 1.65e+05 -3.8 7.76e+01 -4.2 1.23e-01 8.39e-02f 1\n", + " 45 -1.6309295e+09 1.65e-06 1.75e+05 -3.8 3.81e+01 -3.8 1.90e-01 5.46e-02f 1\n", + " 46 -1.6309297e+09 1.46e-06 1.63e+05 -3.8 8.50e+01 -4.2 1.76e-01 1.12e-01f 1\n", + " 47 -1.6309298e+09 1.26e-06 1.80e+05 -3.8 3.17e+01 -3.8 5.44e-01 1.34e-01f 1\n", + " 48 -1.6309300e+09 8.34e-07 1.17e+05 -3.8 1.17e+01 -3.4 2.74e-01 3.38e-01f 1\n", + " 49 -1.6309300e+09 7.47e-07 1.15e+05 -3.8 2.64e+01 -3.9 4.25e-01 1.04e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50 -1.6309389e+09 1.04e-06 1.15e+05 -3.8 1.52e+09 - 3.37e-05 4.19e-05f 1\n", + " 51 -1.6309391e+09 8.37e-07 9.78e+04 -3.8 3.03e+01 -3.9 4.86e-01 1.94e-01f 1\n", + " 52 -1.6309514e+09 1.01e-06 9.78e+04 -3.8 4.88e+09 - 1.44e-05 2.53e-05f 1\n", + " 53 -1.6309515e+09 9.09e-07 9.39e+04 -3.8 2.90e+01 -4.0 7.11e-01 9.90e-02f 1\n", + " 54 -1.6309644e+09 1.34e-06 9.39e+04 -3.8 4.32e+09 - 1.46e-05 3.07e-05f 1\n", + " 55 -1.6309645e+09 3.56e-07 2.62e+04 -3.8 4.40e+00 -3.1 1.00e+00 7.29e-01f 1\n", + " 56 -1.6309645e+09 2.87e-07 2.11e+04 -3.8 1.10e+01 -3.6 6.23e-01 1.94e-01f 1\n", + " 57 -1.6309646e+09 1.94e-07 1.43e+04 -3.8 3.88e+00 -3.2 1.00e+00 3.23e-01f 1\n", + " 58 -1.6309646e+09 1.53e-07 1.13e+04 -3.8 1.16e+01 -3.6 9.44e-01 2.07e-01f 1\n", + " 59 -1.6309711e+09 3.04e-07 1.13e+04 -3.8 3.38e+09 - 2.22e-05 2.59e-05f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60 -1.6309711e+09 2.57e-07 9.60e+03 -3.8 1.29e+01 -3.7 1.00e+00 1.54e-01f 1\n", + " 61 -1.6309842e+09 5.97e-07 9.60e+03 -3.8 3.50e+09 - 1.56e-05 4.05e-05f 1\n", + " 62 -1.6309932e+09 6.81e-07 9.60e+03 -3.8 4.45e+09 - 1.64e-05 1.92e-05f 1\n", + " 63 -1.6309997e+09 8.22e-07 9.60e+03 -3.8 4.75e+09 - 1.59e-05 2.47e-05f 1\n", + " 64 -1.6309998e+09 5.85e-10 2.64e-03 -3.8 2.58e-01 -2.0 1.00e+00 1.00e+00f 1\n", + " 65 -1.6309998e+09 6.93e-10 3.72e-01 -3.8 7.75e-01 -2.5 1.00e+00 9.17e-01f 1\n", + " 66 -1.6310042e+09 2.83e-07 3.72e-01 -3.8 3.25e+09 - 2.36e-05 3.68e-05f 1\n", + " 67 -1.6310082e+09 5.39e-07 3.72e-01 -3.8 3.54e+09 - 1.51e-05 3.50e-05f 1\n", + " 68 -1.6310109e+09 7.07e-07 3.72e-01 -3.8 3.33e+09 - 2.20e-05 2.84e-05f 1\n", + " 69 -1.6310123e+09 9.67e-07 3.72e-01 -3.8 7.99e+08 - 7.84e-05 3.53e-05f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70 -1.6310124e+09 9.00e-07 1.76e+01 -3.8 2.29e+01 -3.9 9.41e-01 6.94e-02f 1\n", + " 71 -1.6310213e+09 2.95e-05 1.74e+01 -3.8 4.91e+08 - 4.48e-05 3.55e-04f 1\n", + " 72 -1.6310214e+09 2.58e-05 3.87e+01 -3.8 2.49e+01 -4.0 1.00e+00 1.24e-01f 1\n", + " 73 -1.6310215e+09 1.81e-05 2.63e+01 -3.8 9.29e+00 -3.6 1.00e+00 2.99e-01f 1\n", + " 74 -1.6310301e+09 3.65e-04 2.44e+01 -3.8 3.15e+07 - 2.41e-04 1.23e-03f 1\n", + " 75 -1.6310316e+09 3.65e-04 2.43e+01 -3.8 3.27e+09 - 1.43e-05 4.58e-05f 1\n", + " 76 -1.6310325e+09 3.66e-04 2.43e+01 -3.8 1.46e+09 - 5.60e-05 7.21e-05f 1\n", + " 77 -1.6310329e+09 3.68e-04 2.62e+01 -3.8 9.93e+07 - 1.18e-03 8.66e-05f 1\n", + " 78 -1.6310337e+09 3.72e-04 2.60e+01 -3.8 1.63e+09 - 3.97e-06 1.17e-04f 1\n", + " 79 -1.6310337e+09 2.86e-04 5.62e+01 -3.8 7.08e-01 -1.9 7.89e-01 2.32e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80 -1.6310337e+09 2.77e-04 1.52e+01 -3.8 6.40e-01 -2.4 1.00e+00 3.18e-02f 1\n", + " 81 -1.6310337e+09 1.30e-04 7.41e+00 -3.8 1.91e+00 -2.9 1.00e+00 5.32e-01f 1\n", + " 82 -1.6310389e+09 1.51e-03 7.43e+00 -3.8 3.06e+06 - 1.47e-03 2.37e-03f 1\n", + " 83 -1.6310395e+09 1.52e-03 7.43e+00 -3.8 1.09e+09 - 1.09e-05 1.70e-04f 1\n", + " 84 -1.6310423e+09 2.77e-03 7.33e+00 -3.8 3.82e+05 - 4.71e-03 2.01e-03f 1\n", + " 85 -1.6310450e+09 4.52e-03 7.27e+00 -3.8 2.08e+05 - 4.44e-03 3.69e-03f 1\n", + " 86 -1.6310478e+09 8.31e-03 7.20e+00 -3.8 1.20e+05 - 7.70e-03 7.13e-03f 1\n", + " 87 -1.6310479e+09 8.03e-03 1.11e+02 -3.8 4.01e+01 -4.4 3.51e-01 3.35e-02f 1\n", + " 88 -1.6310479e+09 7.82e-03 9.18e+02 -3.8 5.19e+01 -4.8 1.00e+00 2.64e-02f 1\n", + " 89 -1.6310501e+09 1.10e-02 9.01e+02 -3.8 5.37e+04 - 2.14e-02 1.89e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90 -1.6310506e+09 1.09e-02 8.88e+02 -3.8 2.30e+04 - 4.73e-02 1.75e-02f 1\n", + " 91 -1.6310510e+09 1.04e-02 8.53e+02 -3.8 1.04e+04 - 1.59e-01 4.45e-02f 1\n", + " 92 -1.6310511e+09 1.23e-03 1.89e+02 -3.8 1.90e+01 -3.1 1.00e+00 9.33e-01f 1\n", + " 93 -1.6310514e+09 6.62e-03 4.39e+02 -3.8 4.48e+03 - 2.58e-01 6.57e-02f 1\n", + " 94 -1.6310516e+09 2.93e-02 5.48e+02 -3.8 1.27e+03 - 3.41e-01 2.44e-01f 1\n", + " 95 -1.6310516e+09 1.32e-02 5.34e+02 -3.8 2.28e+01 -3.7 7.80e-01 5.47e-01f 1\n", + " 96 -1.6310516e+09 4.97e-03 3.02e+02 -3.8 2.51e+00 -4.1 9.84e-01 6.21e-01f 1\n", + " 97 -1.6310517e+09 1.55e-02 1.38e+02 -3.8 2.94e+02 - 1.00e+00 5.30e-01f 1\n", + " 98 -1.6310517e+09 1.27e-02 4.54e+02 -3.8 5.37e+01 - 4.79e-02 1.00e+00f 1\n", + " 99 -1.6310517e+09 3.21e-03 2.71e-03 -3.8 1.65e+01 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100 -1.6310517e+09 2.31e-07 5.27e-05 -3.8 7.31e-02 -3.8 1.00e+00 1.00e+00h 1\n", + " 101 -1.6310517e+09 2.84e-04 9.37e+01 -5.7 8.43e+01 - 6.25e-01 3.21e-01f 1\n", + " 102 -1.6310518e+09 2.91e-04 5.13e+01 -5.7 3.64e+01 - 3.21e-01 3.77e-01f 1\n", + " 103 -1.6310518e+09 2.61e-04 8.49e+01 -5.7 2.14e+01 - 5.02e-01 1.04e-01f 1\n", + " 104 -1.6310518e+09 1.91e-04 4.97e+01 -5.7 1.68e+01 - 1.04e-01 2.72e-01f 1\n", + " 105 -1.6310518e+09 9.64e-05 2.20e+01 -5.7 1.06e+01 - 2.69e-01 4.47e-01f 1\n", + " 106 -1.6310518e+09 5.22e-05 1.72e+01 -5.7 5.44e+00 - 6.03e-01 3.84e-01f 1\n", + " 107 -1.6310518e+09 2.45e-05 5.53e+04 -5.7 1.49e+00 -4.8 1.07e-01 5.01e-01f 1\n", + " 108 -1.6310518e+09 9.80e-06 2.32e+04 -5.7 3.45e-01 -4.4 1.00e+00 5.83e-01f 1\n", + " 109 -1.6310518e+09 1.57e-06 5.72e+03 -5.7 8.84e-01 -4.9 1.00e+00 7.51e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110 -1.6310518e+09 1.11e-06 4.74e+03 -5.7 9.57e+00 - 8.20e-02 1.72e-01f 1\n", + " 111 -1.6310518e+09 7.41e-07 3.28e+03 -5.7 1.33e+00 - 3.81e-01 3.07e-01f 1\n", + " 112 -1.6310518e+09 1.89e-07 6.77e+02 -5.7 3.80e-01 - 1.00e+00 7.95e-01f 1\n", + " 113 -1.6310518e+09 3.31e-09 5.45e-07 -5.7 7.25e-02 - 1.00e+00 1.00e+00f 1\n", + " 114 -1.6310518e+09 1.34e-09 7.10e+01 -7.0 4.08e-01 - 1.00e+00 5.95e-01f 1\n", + " 115 -1.6310518e+09 5.95e-10 3.52e-06 -7.0 1.63e-01 - 1.00e+00 1.00e+00f 1\n", + " 116 -1.6310518e+09 7.84e-10 1.08e-12 -7.0 2.13e-04 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 116\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -3.7401907403570734e+07 -1.6310517839609082e+09\n", + "Dual infeasibility......: 1.0820077830755358e-12 4.7185046094105214e-11\n", + "Constraint violation....: 1.1641532182693481e-10 7.8449113871670306e-10\n", + "Variable bound violation: 6.2884182240770248e-09 6.2884182240770248e-09\n", + "Complementarity.........: 9.0912040120645205e-08 3.9645637219065363e-06\n", + "Overall NLP error.......: 9.0912040120645205e-08 3.9645637219065363e-06\n", + "\n", + "\n", + "Number of objective function evaluations = 120\n", + "Number of objective gradient evaluations = 117\n", + "Number of equality constraint evaluations = 120\n", + "Number of inequality constraint evaluations = 120\n", + "Number of equality constraint Jacobian evaluations = 117\n", + "Number of inequality constraint Jacobian evaluations = 117\n", + "Number of Lagrangian Hessian evaluations = 116\n", + "Total seconds in IPOPT = 436.433\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212166, 'Number of variables': 211209, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 439.303608417511}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + ] + }, + "execution_count": 137, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Define the objective function\n", "m.obj = Objective(expr=sum(m.weights_scenarios[s] * m.scenario[s].npv\n", @@ -3552,10 +3990,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 138, "id": "civil-celebration", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optimal PEM capacity : 196.2616021918545 MW\n", + "Optimal tank capacity : 1.4179083742965303e-05 kg\n", + "OPtimal turbine capacity: 9.0763746194857e-05 MW\n" + ] + } + ], "source": [ "# Print Results\n", "print(\"Optimal PEM capacity : \", m.pem_capacity.value * 1e-3, \"MW\")\n", @@ -3565,10 +4013,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 139, "id": "protecting-asthma", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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wQlj9tkmPoEO6JM+FhDazFMUpmFUTGMeJho5BFfxGsX2BpzFK8SDGXh8Y72Hwh4AvVhV/z41ZcYxZolRzThBGEE3nDsKsbiYCvyxlkpma828Bfg1sj/lOf7+USdabsdwHrAC2wpjDKqyBYJHtLTImPQLRJaGvOQn4IfBNzHf1Drxnon74DVARjFJUZp454Gqr6D4WpHEv3mPLmrJjgtQVBIBoOjcR48DwIWA58FA0nbuxlEk+XnXZycDjpUzyY9F0bmtgcTSd+00pk/xXdVulTHIZsAwzYHSSMekRiC4JfYxmJca5p2n8nkG9CdwC3OLGrI0xCnanG7POsYruJa10GCZLJr2VI39+f+DrH3vqBXZe+9xQAC4YZ4slU7ce1s6SSW9l5zeGbxPk19fjK1az+6yRO3k/vmL1UL3RrmlUp5m+guB3H0HuPci9Auz+tumc9bF3NCvi3sCSUia5FCCazl0DHApUD1Aa2CyazilgU+BFYF2zHYVFv+lRK0gQrjAqil8BekS5HunQU4vvgypPoZIYpYpilmo9t3/NB9cug6lgJqvB2Hntc3xg6YNQ9dv6gaUPwo77UD1Z3fmNf5r2m+hr91nTOTS+zbCy2uN619Tidz5oO/UIch9B7j3IvY6BbTDmsQrLMVuzV/Mj4EbgGczzpCNLmeT6dgnQDvpFj1pFgnCFBlQ772yCeV76TJCKfk4SWWAPTLDV2VbRbfohbKc4ZO1SDlm7lLd/8bjAdZYd81OYzrDAwU8ccyyfeD4/rJ3qFVarfQF8Zp/t+cw+2ze8pja9//7AR+fMYfMjj2iqryAEuY9W7z3IvVaxkVJqYdXxXM81Guo/r6mdjX0EKAAHAjsBt0fTuXtKmeTqoAKEST/p0VjopSDcettkyIquS+iafdcUVwN/DFLVbwV1DMZnfVfglKrIdQVoq+i2ZlcSgPpKtPahhwCYutdeAEOp/sMYoNpFvfsAmB58YF2ntd5zlHPLMQlWK2zLyNnXcUDG24hwSTSdexKIAQvqNRhN5/YHvg28HaMDCtClTHLHIMK2gOhRyNSaGGv1CPpjRVd7HwM6qO6CcWjyxe8ZVMP9ooSxUdlrpnrzs6l77TXsh33ZMcd2S7zA1LuPNg6sDwG7RNO5HTA56D6NcTSo5ilMCqB7ouncTGA3GruxXgr8Bya90ZtjFdAP0aPwqTUx1uoR9If7/Gh5P9syQCm2A67A2OfXA3PRXIxiC0wy4ijGG/QINKu8OmcAn8foySlobvXK3wtcDkwBbgJOHRbrNLzfNRirh/LeywRIFAv+Jr6FmFQsNwN3WkX3tSCNCsEZlL1mau+jXQNrKZNcF03nvgLcinEzv6yUST4WTedO8s7/DJNF4fJoOudglOD0Uib5fINmXyplkje3RcAAiB51hloTY79SfR9tHlTXAV9H8zCKzYBFKG7HBKnfgSaDIo3Jm3c6it0xE8J3YBIe/xHFrmjexMQ0nYjJkHITcBDm+z0SzWatCuxn4nsfcIDX+dluzHoB80Nxs2xZLXSKUiZ5E0YJqst+VvX5GczGf0HJR9O58zFOCq9XtRPW3kyiR0L3MfszrfA+r0HhYpyQDgVme1dlgTsxK5xDgWu8LdufRLEE2BtFCZiOxrjoKq4ADqN2gFI+qYy0/15ofia+dZ6wd4KJXMekW/kfN2btgtkq4Mt+nQhCj1HxAqx+7qUxThZtR/RI6DkUUUzS4geBmUObC2pWoIbsidtgVkgVlntlb3ifa8trqQTDb4LRtb9gLBzv9Po9wE/MQPmQKnhpVS4DLnNj1gQ6H/AoCGOmlEkmutm/6JEQEo28YTeg2BS4DvgamtUN8pqM5kEbxLMWNAmvlWuAE9E43vEewDdG7bWKIHFQ7wBWWkX3OTdmbQl8FxMMebZVdJvdKkAQuo6XGuks4P1e0V3AOaVM8qWw+hQ9EjpAI29Yg2ISZnD6DXooDu9ZFLO81dMsYKVXPpoH7XLvc235aMSGBicAzaMoswGnH0G8i35W9flcjAfGDYBkZxX6lcsw+feO8F6rCf/7LHokdBeFwniwuugNW81ggtxT3ucUMK+q/NMoNkaxA8Y9fIFnDlyD4n1em8dW1amHi+KXKGaj+ACKXwCBvD/8vPjOAnYGvuTGLIWJAL4ME2OyrRuzvoXxSro7SGdCONSLQ6p1+xaGsVMpk/xk1fHZ0XSuEFZnokf9Q20c0oDp0f6YmDwHReX7fiaQAa5F8XlMyMbhAGgeQ3EtJq3YOuBkz4MPzKafl2PczG9mNA8+w3He9ad6x3ezIbN5Q/ycJM52Y9ZhmK17I8D7raJ7BoAbs/7dKrrnBOlkPNKG4NXA1ItD2iQWY/qcOW3tZ4B4NZrOHVDKJO+FocDdpjcQDIro0djoZPBqbRzSQOmR5l5Gz6T/wVHqnItZ8deWL8RkRwnS72sofozJHqGBxWjeCFI1iJPEOZgR7w28jLSePb1RnMm4J+Tg1REMSjxVh/gSkPWeRSlMctnPhdyn6FGLhBq8WodBiafqGRSzMe7rJYy+bYcihcbXYuA7QFlF9waMrby67DGMmUJoQFjBq8LYKGWSBeBd0XRuuncces4+0aOxEWLwqhA+FwAfRrMYAMWumL3R3utXsaGThBuzoj7nlRuztm10jSD0CtF07mjv/bRoOncacAJwQtVxKIgeCeOcSUODE4DmCWBSkIp+K6jzvTiNeZi8Zc9hgq52BhIYu+VZDA/aGsKNWSWMt9SbwDqr6O7pxqwReZ+sorsqiLC9TO0zpwF7uDooTPPe66VeqZ9HrD2MSY9g/OhSvWe3W689lQlTp3ZJIqENLEJxKXCld/xZjB744uckcbgbs3b3GjwemAWsxbgI3gScGyCvWMIqutV29jRwh1V0M27M2pD3qc+pfeY0UA9XB4RSJvlz7+MfS5nksNgjz1EiFNqkRzAOdKnes9sJU6cyccstG9QSepyTMLten4J5BnU38JMgFYM8g3oc+O+xSFfDaHmf+h5xVOgbLoERecLqlbWNEPQIBlSXRujR7K6JIowVxQRgEZo9YFjsVSCaSnXUAhq4zY1ZGvi5VXTnAjO9VC9YRXeFG7PquuIopU7EZMtl8uTJIYvZOV4rFoecJXrNDBg0nqr6Hka7pheJpnP7AvsBW9c8c5qOyZTey4guVbF+7dph38FeMwMGNVX2+n2MGc16FH9BsT2ap5qtHvYAtb9VdJ/xFOd2N2YVg1b0ckjNBZg2bVqYzwc6Rq3Jr9fMgEHiqerJ22v30YDJmPRCGzH8OdRq4FNdkSg4okse9cx9vWYGDGKq7If7aBOzgMdQLMBs3GnQHOJXMdQByiq6z3jvK92YdQOwN/CsG7NmeTO+6rxPfUUrq4jNjzyi53bGrbeia2Sm7MV7CEopk7wLuCuazl1eyiSXdVueZhhkXapeRQTRo0kzZjBpxoyeMgPWroTq6tLs4XV68T5C4uxWK/qlOpqBSYWxM+AA/2sV3UAxI27MmgZMsIruGu/zhzHBipW8TxmG533qG/p8FTFEr6/oQuSX0XTu8FIm+U+AaDq3OXBNKZP8SBidjUWPvPoDq0u1q4V+/A7WW/H0432EhuYuFBHMpEoDD6EpB6nqt4K6AuMOeAkwB/ghwSPuZwI3uDGr0s9VVtG9xY1ZDwHXujFreN6nPqKfVxHVDMp9tMBWlcEJoJRJroqmc+GkJTCMRY9ggHWp7iqizxiEewgVxQnAt4A/Ybz4LkFxDprL/Kr6DVARq+hWPI9udWNW4B1HraK7FHhXnfIXGC3vkyB0hvXRdG77Uib5FEA0nXs74cZBtaxHILok9D3/CbwbzQsAKLYE7oOxD1DKjVmbsyHB4MTqY6vovtiqxILQRf4buDeazt3lHb8fz8stJESPhPHMckyQeYU1wNNBKvoNUG/BmCaqM+BWZn8a2DGggILQM5QyyVui6dx7gPdhvtv/Ucokw0zaKnokjGf+ATyIYh7m+34osACFCfXQo8dH+WWSiLZPRkFojWg6dxBwMSZW6ZelTDJT55rZwA8wOb6eL2WSH/Bp9k2M19smwO7RdI5SJhnKfkyiR8I45+/eq0LFmadeyrFh+HnxNYyst4puU7Z0QWiWaDo3Efgx8CGMqeChaDp3YymTfLzqmrdiUqccVMokn/JzeIimcydgNk/bFihgVlL3AweGcQ+iR8K4RofkZg4sBB7DJLeE4SYKTUgKLQwGtbFiG1sxImee2WwzewNLSpnkUoBoOncNxkTweNU1nwGurzg9lDJJv3igU4G9gAdKmWQims7FGEOsRgBEj4SWqY2xgpZ1qe/wG6C+DnwSs9voNcANVtF9OXSpuky/pvLpJdoYA7INwx+oLgf2qblmV2BSNJ27E2M2uLiUSTby+X2tlEm+Fk3niKZzG5cyyWI0ndutXQLXYVzqEQz/cR24ND4dYACzSjSF3zOoi4CL3Ji1A3AUcIcbs5YB51lFt9CobrcZbcv1auoNPIMShNttmoyx2kgptbDqeK6Xngfqb1Fd6xK+EWbzsw8CU4D7o+ncA6VM8olR+lvumQV/D9weTedWAc8EFbZZ+lmPIJgu1Rt8an9cBzSNT6iM9xirQKmOrKL7pBuz5mGU/xjMjLWnFateLqxa6g084zh4tZus01rvOcq55cB2VcfbMnIwWY5xjHgFeCWazt2NiRuqO0CVMsnKLrbfjqZzeYyX3S2tCh+UftQjCKZL9QafET+us0MUUuhdFFsDX8DsW7ZhzNEc71fVz0liR+DTGJv/0xjzRNC9a7qObH8xEDwE7BJN53bAuKt+GvPMqZp5wI+i6dxGmISw+wAX1Wssms5NAP5ayiT3gKH8fKHS73oEAXRpdsdEEfqPecA9wB8x3rOBabjlO7AEOAIzu7wf2B74shuzTnNjVmhbZAtChVImuQ74CnArZoO/a0uZ5GPRdO6kaDp3kneNi/mO/hVYgHFFf3SU9tYDf4mmc9t35AYMokfCeGYqmtPRXIvmuqFXAPxMfOewwd6/ac25nkvb38t7LQmtU8okb8LsPFtd9rOa4/OB8wM2OQt4LJrODUv/X8okfdP/t0hf6RE0n2FcEBowH8XB6OE6HAQ/J4lvj3bOjVlfa7azMBnHmbmFgHgee68Trkv5CPpJj2AwMowLPcWpwJko/gX8C+P4pNFM96s4lv2gTsNE7vcE4twgBOB+zLbuJ5QyyWO6LYxHT+kRiOeY0Ga0f8aI0RjLAFXP/VcQepnJ0XQuBewXTec+UXuylEle3wWZRI+EwUahgM8CO6D5DortgFloFvhVHcsA1ZO2c0FowEkYRXkr8LGacxroxgAleiQMOj8B1mMypnwHeBmTvmwvv4p+buZrqK9AChPL0ajudpiN2iKecHOtonuxG7O+jfGJr6R9OdMquk0/PBOEZillkvdittlYWMokL+1Uv2PRI6++6JLQz+yD5j0oHgFAswrF5CAV/ZwkWrYdAuuAr1tF92E3Zm0GLHJj1u3euYusovv9MbQ9rqhNvVTvvHhZBaeTgxOMWY9AdKlt1MtrV42kYwqFN1BMpDJJM4G764NU9IuDahmr6K6oZGm2iu4aTAzLNmH1N6hMnzPHd/ARL6vBRnSpPUzcckvfwWfg0zEpDkKxGMUSFOkO9fpD4AZgBopzgXuB84JUHMszqMC4MSsKvBt4ENgf+Iobs47FZHn+ulV0V3VCjn5EvBOFakSXWieQd+LsjonTecwqZtjWNShuRA/bGaD9aH6DYhEmV6YCDkPjBqka+gDlxqxNgeuAr1lFd7Ubs36KeVCmvfcLYGROJqXUiXjbcE+eHMhcKQiBiKZzd5QyyQ/6lfUaoejS1xiZDbAAxFsQsMDwH/h67QS5xq/t0erUtl3vfLN9BaGZv1ez99Hq/6I+ewNL0CwFQFFv65r2o9gCszno1VVlk9C84VtV6/CciNyYNQmYD9xqFd0R2/p6s8H5VtHdo1E7Sqn1mK0KqtkIY5vvN/pR7rBlnqK1Ds3cXCGazm0CTAXymJ+Aiov3dODmUiZphS1Dq4gujaAfZYZw5Z4CVG9+Wb0rACg+BRyE5gTv+BiMA8NXQpKn0m8Jk/B5FUbn3gqswAxaX0CzaLSqoa2g3JilgEsBt1qh3Jg1yyq6K7zDj4l/FDoAACAASURBVAN1c6ZVU+/HSym1sEEG7J6lH+XuR5lH4YuYNcPbGK7IqzGmj55EdGkk/SgzdF3uIFvXhMEtwA1obvWk+DBwEHAtxgW9dn+3IcI08e2P2VLAcWNWxYhwJnCUG7PimD9MCfOjIQihU8okLwYujqZzXy1lkpd0W54mEF0S2kGQrWvCYE80Jw0daW5DcR6a01Bs3KhiaAOUVXTvpf6ILXEaQleIpnMHljLJPwH/6KFMEr6ILglt4iFgFxSNtq4JgxdRnI7ZZgbgSGCV57TR0N28I158ITHX/5KepB/l7keZ6/EB4E+MzCIB3csk0Qv04/+3H2WGbsqtWYca2rpmInAZmsc60PNngLMwO1grjJv5ZzwZGrooh+okIQiCIAgAKKYD69G8HLRKP6+gBKEpoulcw80BS5nkCO84QRDGiMLGpOrawjt+Hkih/Z16ZIASxhNjTTkkCELz/Bw4DU0eAMVsjKlzP7+KfWniU0odBFyMsWH+Umud6bJII1BKXQbMAVZqrffwyrYAfgtEMV5XR2iteybyXyk1Iimp1vriXpdbaI1+0CMQXep7FH9B8y7fsnpV+22AUkpNBJ6gOl0HHKW1DjcaukmUUu/HpJW/okqpvge8qLXOKKXSwOZa69O7KWc1SqlZwCyt9cNKqc2ARcBhwOfoYbmbJZrO7Yj5YX4fxjnifuA/Spnk0q4K1kH6RY9AdKnvUdyAiTu80is5GuN6fphf1dCj90Ngb2CJ1nqp1vpfMJSuo6fQWt8NvFhTfCiQ9T5nwf8f1Em01iu01g97n6uTkva03C1wFSZIcBYmaPd3VKdhGR/0hR6B6NIAcDywNcZL9npgK+C4IBX78RnUNsDTVcfLaRCJ3GPM1FqvAPMFVkrN6LZAo6GUirIhKWnfyB0QVcokr6w6/nU0nQs33Uvv0c96BH30nRxwXWqMiXX6HZp/b6V6Pw5Q3UrXMW5QSg0lJdVar1Zq4HYlz0fTuTRm1aAxgYO5aDq3BUApk6ydrQ8iokcdYBzoUmM0b6JYi+ItaF5qtno/DlDdStfRDp5VSs3yZk6zMMkSewql1CSMQv1Ga10JXO15uZvkSO+9NjXQ8Zgf6R07K05X6Gc9gj74To4TXQrCa4CD4nbglaFSzSl+FftxgHoI2EUp1el0He3gRiAFZLz3ed0VZzjKTO8uBVytdXVMUE/L3SylTHKHbsvQA/SzHkGPfyfHiy4FJOe9mqbvvPgAlFIHAz/AS9ehtT63yyKNQCl1NWZLh62AZ9mQ6uNaYHvgKeBwrXXPmJOUUgcA9wAOG3JknYmxnfes3EGJpnN7AU+XMsmyd3ws8ElgGfDtcWLaG6If9AhEl8YzfTlACUIrRNO5h4F/L2WSL0bTufdjnkF9FbMlnFXKJD/VVQEFYZBQODR6rql5p18T/WjiE4RWmVi1SjoSmFvKJK8Droumc7X7ygqCMDbmeO8ne+8Vz9nPAmuDNNCPcVCC0CoTo+lcZVL2QUxm8woyWROEdqJZhmYZsD+a/0LjeK808JEgTcgAJYwnrgbuiqZz8zDbnt8DEE3ndobmXWAFQQjENBQHDB0p9gOmBakos0Zh3FDKJM+NpnN3YDJI3FbKJCv28QmYZ1GCILSfzwOXoXgL5pnUS5iQDl/ESUIQBEEID8VEL2B3OqCaCdgVE98YUEq9VSn15arjtyml/i+kvg5TSn3L+3y5UsrX40wpNVkpdbdSSlbKQs8iejTwLEFxPrBNs9kkZIAaG28FhhRLa/2M1josV+X/An4S9GKl1EQvCegdbMicIAi9iOjRYPNOTOb8S1E8gOJEbzXliwxQYyMD7KSUKiilzldKRZVSjwIopT6nlPq9UuoPSqknlVJfUUqdppR6RCn1gLcvDEqpnZRStyilFiml7lFKxWo7UUrtCryutX6+qvj9Sqn7lFJLK7NApdRspVReKXUVJkAQTEDjZ8P8IwjCGBE9GmQ0a9D8As1+mAnCWcAKFFkUOzeuq7W8WnxhNh17tN4xZt+XJZhdXLfGPBg8yTt3ESZ5JJiZ2S7e532AP9Xp5zjggqrjyzFbREwAdsdsmwAm2v4VYIeqaycCz3X7byUveY32Ej0a8Bd6okYfotE3aPQjGn2aRs/U6E9p9BON6opNNVzy2uwFs0Yp9RLwB6/cAd7pZTreD/hdVZbjjeu0Mwt4rqbs91rr9cDjSqmZVeULtNZPVg601m8qpf6llNrMk0UQ+g3Ro/7mb0AeOB/NfVXl/4fi/Y0qygAVLq9XfV5fdbwe87efAPxTax33aedV4C0N2q7O4f8KI9kYk1FYEPoR0aP+5p1oXq57xiejuQxQY2MNxvTQEtrsD/OkUupwrfXvvAzI79Ra/6XmUhezTXLTKKW2xJgm3mhVTkEIGdGjQURxCZVcfPV3H/PdbkOcJMaA1voF4M9KqUeVUue32Mxngc8rpf4CPEb9bbfvBt6tWtvtLAHc1KJsghA6okcDy0Jgkfc6pOpz5eWLBOr2CUqpi4E/aK3/2GS964EztNaLw5FMEPoH0aMuoXgEzbubrSYrqP7hPGBqMxWUUpMxD4FFqQTBIHrUHVpaCckKShDqYGftGcD+wNswD9cfBRY6KWd9w4qCIIxE8TCa9zRdTQYoQdiAnbUTQBrYAngEWAlsAuwK7AT8H3CBk3JWd01IQegHFGvYsHKayoY9oBSg0f7ZJMSLTxCGczDwBSflPFV7ws7aG2E2YfsQcF2nBROEbhLJFzbBfP//jeGWhVw5EX9sRAXdumdmBVlBCUINdtaeAHzKSTnXdlsWQegFIvnCtzGeeHdivPOqLQsJ7/PXy4n4X9vZr6ygBKEGJ+Wst7P2VwEZoATB8FA5Ef/2KOcujOQLM4Dt292prKAEoQ521v5/GBPGb6nKKuCknBe7JpQgdJFIvjARyJQT8f/sVJ/iZi4I9TkeOBkT3FkJLFzYVYkEoYuUE/E3gfdG8oVWAp1bQlZQgiAIQiAi+cIFwC6YLPBDloVyIn59GP3JMyhBGAU7a++H2fphSE+clHNF1wQShO6zBfACcGBVmQZCGaBkBSUIdbCz9pWYuKcC8KZXrJ2U45vgUhCE9iArKEGoz57A7k7KkRmcIHhE8oWtgS9QY1koJ+LHh9GfDFCCUJ9HgQiwotuCCEIPMQ+4B/gjGywLoSEmPkGows7af8DY1DcD4sACqja1c1LOIV0STRC6TiRfKJQTcb+NIduGrKAEYTjf77YAgtDDzI/kCweXE/GO7I0lKyhBqMLO2rcCtwA3Oymn2G15BKEXiOQLlcSvCpiGsSq84R3rciLum/i1FWSAEoQq7KwdAQ7yXrsCD2IGrDuclPNyN2UThG4RyRcmlRPxjm93LwOUIIyClzR2H+CjwAcxqY9uc1LO97oqmCB0mEi+sBBYjpms3VJOxEud6FcGKEEIiJ21twI+4qSc33RbFkHoNJF84e2YydpBwDbAvcDNwF3lRPz1RnVbRQYoQaiDnbUvYeQ21S9hdtWd1wWRBKFniOQLkzD7Qh0EzAaeKyfiyXb3IwOUINTBztpzgRgm5xjAJ4HHgO2ApU7K+Vq3ZBOEXiOSL2xTTsT/0e52xc1cEOqzM3Cgk3LWAdhZ+6fAbZjddJ1uCiYI3SKSLziMYlmI5Av/U07EX2hnf7LdhiDUZxuMO22FacDbnJTzJlWBu4IwzrgZyAGf9V5/wGSWKAOXt7szWUEJQn2+BxTsrH0nJtbj/cB5dtaehknzIgjjkf3Lifj+VcdOJF/4czkR3z+SLxzd7s5kgBKEOjgp51I7a98E7I0ZoM50Us4z3umO7SgqCD3GppF8YZ9yIv4gQCRf2BvY1Du3rt2diZOEINTBztrnOCnnW1XHE4ArnZTz2S6KJQhdJZIv7AVcxoZBaQ1wAsaBKFlOxK9tZ3/yDEoQ6rO9nbXPALCz9sbA74G/dVckQeg6fy0n4jYmkfK7y4n4O4El5UT8lXYPTiArKEGoi521FfAbjMdeApOb76LuSiUI3SWSL+SAQ8uJ+DrvOALkyon4e8PoTwYoQajCztrvqTqcBPwc+DNwKYCTch7uhlyC0AtE8oUvAElMXOB2wI3AN8qJ+G1h9CdOEkJfYGfticBC4B9OypljZ+0tgN9idvYsAUc4KWeVd+0ZwOcxG6qd4qScW73y92JcYacANwGn1tkx94Ka41XA7l65Bg5s970JQieI5AuXAXOAleVEfA+vbIQelRPxVaO1UU7EfxHJFyZjTN5R4IvlRPy+sGSWAUroF04FXKCS1j+NyTCesbN22js+3c7auwOfBt4BvA34o521d/Xil34KnAg8gBmgDsLEdQzhpJxEJ25GELrA5cCPgCuqytLAHeVEPBPJF4b0qLZiJF84repQYVZPBeB9kXzhfeVE/MIwBBYnCaHnsbP2thizwi+rig8Fst7nLHBYVfk1Tsp53Uk5TwJLgL3trD0LmO6knPu9VdMVVXWq+zrae/40miw72Vn7gDHflCB0mHIifjfwYk3xaHpUy2ZVr02BGzC6VSkLhb5YQU2YMEFPmTKl22IIIbF27VoNVD/bmau1nlt1/APgvxiuCDOdlLMCwEk5K+ysPcMr3wazQqqw3Ct7w/tcW17LlpgA3UXAIuA5YBNM6qMPAM9jZpl9iejS4BJAj+oxs5yIrwAoJ+IrIvnCjHoXlRPxs9skZlP0xQA1ZcoUXnnllW6LIYSEUupVrfWe9c7ZWXsOsNJJOYvsrD07SHN1ynSD8mE4KediO2v/CPOsaX/gnZh9oFzgGCflPBVAhp5FdGlwaaRHYyWSL8wFflhOxB+tc24acCTwejkRb+tWNH0xQAnjmv2BQ+ysfTBmJTPdztq/Bp61s/Ysb/U0C1jpXb8cYx+vsC3wjFe+bZ3yEXjPq273XoIwyDwbyRdmeaunaj2q5SfAtyL5gg08ygbLwi6Y58KXYcIy2ooMUEJDVv32WlbPnz+sbPqcOWx+5BEd6d9JOWcAlYDZ2cA3nJRztJ21zwdSQMZ7r+zRdCNwlZ21L8Q4SewCLHBSzpt21l5jZ+33YbZxPxa4pCM3IQh0X5dG4Ubq69Ewyol4ATgiki9sCuwJzMKzLJQT8cVhCScDlNCQ1fPn81qxyCaxGACvFYsA3VYqMAp1rZ21Pw88BRwO4KScx+ysfS3wOCY32MneigjgS2xwM7+ZGg8+QQiTbutSJF+4GrO54FaRfGE5cBaeHkXyhWF6NBrlRPxl4M5wJd1AXwTqTps2TYvdvDssO+ZYAN5+5RV1j9uBUmqt1nqa/5XCWBFd6h5h69Ig6pGsoAShDnbWngmch9kD6qNefNW+Tsq5tMuiCcK4wXeAcmPWvsDRmP3nK3bHRzGbVv3aKrovhSphQH73xO+4aelNTdc7eMeDOXzXDava0dqpvi5oX0Harr2mllb7CkKQtl9779+YXd6cL3rHt2zzPHdGVrHJLcc17L9e27EtYpy+94gYwF7lcuBXwH97x09gIu5bGqD6RY8EIQiRfGFaOREPfSneMFDXjVk3Y1Kp34qJup+FSfvyTYwHxzw3Zh0StpBBuGnpTSx+sblndYtfXDziR7ReO7XXBekrSNv1rqml1b6CEKTtJzd9lTsjGzKf3BlZxZObvurbfyv/jx5jKyflXAusB/C2fn+zcZX69JMeCUIjIvnCfpF84XFM2AWRfOFdkXzhJ2H157eCOsYqus/XlL2MCQZ7GLjAjVlbhSJZC+y2xW786qBfBb7+uJpVwGjt1LvOr68gbY92Tbv6akfbR/1g3xFlO7w8xffvE6TtHucVO2tviRcr5Xn/tbrK6Ss9EoQGXAR8BOP9RzkR/0skX3h/WJ01XEHVUaqWrhGEPuQ0jBLuZGftP2NSI321lYZEj4RBopyIP11T1JJlIQiBnCTcmPUJ4LvADExEvgK0VXSnN6woCH2Kk3IetrP2B4DdMN/3xU7KeWMsbYoeCQPA05F8YT9Ae1nNT8Ez94VBUC++7wEfs4puaIII4VIvSPC19/6NjbbYsksS9QV7Y7YU2Ah4j521cVLOWHyCRY8GgB4NuO0UJwEXY/JYLgduA04Oq7OgA9SzolT9TW2QIMD6tWtZ10WZehk7a18J7ITZUqBiwqhkQW8V0aMBoNsBt92knIg/D3y2U/01HKA8kwTAQjdm/RazSdXrlfNW0b0+RNmENrNJLDYsKHBCHQcIYYg9gd3rbGjYNKJHg0e1LlUCbscDkXxha+ALbLAsAFBOxI8Poz+/FdTHqj6vBT5cdawBUSxhUHkUiAAr2tCW6JEwKMwD7gH+SIjOERX8BqjTrKI76va/gjDAbAU8bmftBVStdpyU00q8kuiRMChMLSfiHYu29xugFrsx6zngPuDPwH1W0X0ifLEEoet8u41tiR4Jg8L8SL5wcDkRbz4zQAs0HKCsojvDjVm7Avt5r2+4MWtrzI6lf7aK7vc6IKPQArWeRrUOEkJjnJRzV7vaEj3qX+p6v45vXToVODOSL7yO2aVaAbqciIcSKuHrxefN9J4ALndj1k7AwZ6QH8a4zQo9SK2n0SaxGNPnzOmyVL2PnbXvdVLOAXbWXsPwHXcVoJ2U05Iiih71J/W8X8ezLpUT8c062Z+fF19lxrcvZpfSpZhZ39GYFC1CD1PrtSf446ScA7z3timi6FF/I3oEkXwhVk7Ei5F84T31zpcT8VC+x34rqHsxCnQh8Hur6K4N2rAbs3bDZH+usCPwLeCtGDfF57zyM62i2xF7ZqusW/kc6158gWW/Me6kEuA6uNhZe4tG552U82ILzbasRzA4ulTPXAbjKsi1nzkNOBG4oM45DRwYRqd+A9Tb2GA3P8mNWRthFO1+4H6r6C4draJVdBcDcQA3Zk0E/gHcABwHXGQV3e+PXfzOsO7FF1i/dsNvigS4DjSLMAqn6pzTmMGhWVrWIxgcXapnLhtPQa79TDkRP9F7T3SyXz8niTImRuN6ADdmTQWOB84GdgAmBuzng8DfraK7zI1ZrUvbRSZMnTq0zJcA18HFSTk7tLvNNuoR9Lku1ZrLxlOQ6yAQyRc2Ab4MHICZsN0D/KyciL8WRn9+z6DegrGbV2Z/7waWAH/AuMsG5dPA1VXHX3Fj1rHAQuDrEiMi9Bp21laYlC47OCnnO3bW3h6IOClnQbNttVGPQHRJ6C5XAGuAS7zjo4ArgeZ2Sw2In4lvCeZh7n3Ad4AFVtF9tXGV4bgxazJwCHCGV/RTry3tvV+AmU0OQyl1IsbmyeTJk5vpUhDawU8wmxUeiPmergGuA/Zqoa0x6xGILgk9wW7lRPxdVcf5SL7wl7A68zPxbd2GPj4KPGwV3We9Np+tnHBj1i+AkU9NAa31XGAuwLRp04blQyufdx6vu8Vh14vjgtBm9nFSznvsrP0IgJNyVtlZu6Vf9zbpEXRIl0AcF4RReSSSL7yvnIg/ABDJF/aheStAYPxMfDc2Om8V3SBpX46iyiThxqxZVtGt5Df7OCbn2ZgRxwWhzbxhZ+2JbNhRd2u87d+bpU16BB3SJXFcEGqJ5AsORhcmAcdG8oWnvOO3A4+H1a+fiW9f4GmMUjxIfc+mUfEeBn8I+GJV8ffcmBXH3Fyp5lwgImeeOaJMHBeENvNDjKfcTDtrnwt8Cvhmi22NSY+gs7okjgtCHboSmew3QEUwSnEU8BkgB1xtFd3HgjTuxXtsWVN2TAtyCkJHcVLOb+ysvQjjNQdwmJNyWt3LaUx6BKJLQncpJ+LLIvnCBOCv5UR8j0716/cM6k3gFuAWN2ZtjFGwO92YdY5VdC9pVLcfqA3ABXmWJQxjKsYFXANTWm1k0PUIJAh3PFBOxNdH8oW/RPKF7cuJ+FOd6NM3F5+nUEmMUkUxpo+B2L+mNgAX5FmWYLCz9rcwrrPXYUxyv7Kz9u+clPM/rbQ3yHoEEoQ7jpgFPBbJFxYAr1QKy4l4K9vQ+OLnJJEF9gBuBs62im5bHsL2EtUBuND9Z1kjspDLiq5bHAW820k5rwHYWTuDyf7Q9AA1HvQIeisIV1Z0oXF2JzvzW0EdgxkldwVOqYpcV4C2im4oKdbHC/VMjGsfegiAqXuZcJt+WNENqKm0BGwCVCLkNwb+3mJbokchUzsg1eoR9MeKrt7A2s5BNZIvlDAxfW8C68qJ+J7N1C8n4m3bhiYIfs+gJnRKkPFIPRPj1L32GvaF7PaKLggDaip9HXjMztq3Y55BfQi4187aPwRwUs4pQRsSPQqfWhNjrR5Bf3gn1t5HSINqopyIP99KxUi+UL0NzWSM2/krXdkPyo1ZCzFBWDcDd1pFN5R8S+OZWhNjvxKWqdTO2tth0qtEMHFIc52Uc7GXdfy3mOc5JeAIJ+Ws8uqcAXweM0s8xUk5t3rl7wUuxzg83ASc6qScYYGrVdzgvSrc2eo9iB51hkHZFqP6PnptUK3dDyqSLxwG7B1Wf34mvvdhkgIeBJztxqwXgFuBm2XLaqFDrAO+7qSch+2svRmwyFvVfA64w0k5GTtrp4E0cLqdtXfH5Kt7ByaL+B/trL2rk3LexKQGOhGTdugmzPf65nqdOikn28Z7ED0SOsFGSqmFVcdzvSwi1Wjgtki+oIGflxPx2vNNUU7Efx/JF9JjaaMRfia+dZiZ451gItcx6Vb+x41Zu2C2CvhyWMIJgpNyVgArvM9r7KztAtsAhwKzvcuymO/o6V75NU7KeR140s7aS4C97axdAqY7Ked+ADtrXwEcRs0AZWfta52Uc4SdtSuR87XyvLPZexA9EjrEOq213zOl/cuJ+DORfGEGcHskXyiWE/G7g3YQyRc+UXU4AdiTOnrSLnzdzKvx0qpcBlzmxqwJmAh5QRgrQWZ+2Fk7iskE/iAw0xu8cFLOCjtrz/Au2wazQqqw3Ct7w/tcW17Lqd57aJHzokdCtygn4s947ysj+cINGPNc4AEK+FjV53UY8/qhbROwhiBxUO8AVlpF9zk3Zm0JfBfYFOMuG1qSQGFc4Tvzs7P2ppiYpK85KWe1nbVHu3S0jQZHKx9G1aC3zM7aEYwCa+AhJ+WUG8nYCNEjodtE8oVpwIRyIr7G+/xh4Jwmm/llOREf9n2N5Av7AyvbJOYwgngX/azq87lAGfPw+FdhCCQItdhZexJmcPqNk3Iqwa3P2ll7lnd+FhsUZDmwXVX1bYFnvPJt65SP1ucJwALgE5g8fA/YWXvEVhZNIHokdJuZwL3e9hgLgFw5Eb+lyTbqZT4JLRuKnxffWcDOwJfcmKUwGZMvA2LAtm7M+hbGK6mZJaLQZurGIdVE9fcr3saBlwKuk3IurDp1I5ACMt77vKryq+ysfSHGSWIXYIGTct60s/YaO2u/D2MiPJbGivWfmEDdFzw5tsTs53RZs/cgetQ/jAiUHxA9Aign4kuBd/leWIdIvlDZcHPrSL5wWtWp6TS3I3RT+DlJnO3GrMOAqzBuvu+3iu4ZAG7M+ner6Da7PBRCoF4c0iaxGNPndCUBcbvZHxPo6thZu+CVnYkZmK61s/bngafwdvR0Us5jdta+FrMFwDrgZM+DD+BLbHAzv5lRPPg8lmMCGiuswWQkbxrRo/6hNg5pgPRorEzGmKQ3AqpdzVdjLAyhEMRJ4hzMQ7Q3MO67FXt6S4Fe44VOZ1cYlHiqWpyUcy+jb0/xwXqFTso5F2NGqy1fiEk5FIR/AA/aWXse5hnUocACO2uf5rV1YaPKdRA9apGwsyvUMijxVO3EyyBxVyRfuLyciC/rVL++A5RVdGsDFvG2Cfh4WEINAgOaXWE88XeGpzaqmBA3q3OtL6JHrdOh7ApCADo5OIH/M6ioVXRLDc4rYBur6C4f7ZrxTK8lohWC46SctiXFFD0aO72cXUEID78V1PlenMY8YBHwHCaB5s5AAmNiOYvh8SVDuDGrRFViQqvo7unGrBEpaqyiu2qsN9Jtas0Q6621TJg6tYsSCT3EmPQIxo8u1TPnDZKjgtAcDd3MraJ7OPD/gN2AHwP3YJTsBGAxcKBVdG/36SNhFd24VXQrcS5p4A6r6O4C3OEd9z0VM0SFCVOn9ns2b6FNtEmPYBzoUq0egTgq9BKRfGHbSL5wQyRfeC6SLzwbyReui+QL2/rXbI0gz6AeB/67jX2OlqKm76k2Q2xyy3FdlkboJULQIxhQXRInhZ7mVxhv1MO946O9sg+F0VlTqY5aQAO3uTFLAz+3iu5cYKaX6gWr6K5wY9aMhi0IHaOeeWW8mirtrL0tJk7qAEwW9Xsx2c+79ZxIdKmPGGBT5dblRLw6uPzySL7wtbA6C3uA2t8qus94inO7G7OKvjU8lFInYjJPM3ny5LDk6zjr164desjbaz/+9bbtrmeqrL4H6L37aBMdnSkGQHSpiteKxWHfwV778a+nS/VMlb1+H3V4PpIvHA1c7R0fBbwQVmehDlBW0X3Ge1/pxqxKYsJn3Zg1y5vxVaeoGYaXLHQuwLRp00LLltsqtT/SQb5YG22x5TA38158TlVrXqk1VdbeA/TmfbSBrZ2UM2ymaGft0GaKfgyyLlX/SAfRo3rPo3rxOZWfqbJf7qOG44EfARdhVvX3AaE9z/BzM5+BidrfGXCA/7WK7uogDbsxaxowwSq6a7zPlcSEo6Wo6Rvq/UgH+WJtNGNrNpqxNW//mvnd64XnVNUDbaBBtuYeoDfuIwSet7N2W2aKY9Ejr/7A6lKtzgTRo82PPKLnYqBaWQn14n0EYLtyIn5IdYGXLPapMDrzW0FdgXGLvQSz/cAPMRvFBWEmcIMbsyr9XGUV3VvcmPUQcK0bs4alqOkn6v1I9yO1A20fzN46STtnimPRIxhgXerTH+lh9OlKqFUuAd4ToKwt+A1QEavoVjyPbnVj1sNBG7aKbt3EhFbRfYFRUtQInWVQBtqQ2M5JOcNminbWbnWm2LIegehSrzMIg6wfPZksFlBuzNqcDbnQJlYfW0X3xbAEE4Qu086ZouiRy+s0vQAADs9JREFU0O/0ZLLYt2BME9XJOiuzPw3sGIZQgtAt7Kw9NFOsJIb1GMtMUfRI6Gt6MlmsVXSjHZJDEHqFts8URY+EQaHXksU2NGdYRbcpW7og9DpOyrkLuMvO2pc7Kactyih6JAit4WfiWwg8hkluCcNNFBo4MAyhhMGgNlZsYytG5MwzuyhRcNo1OHmIHgktU+vCDv2lS2PBb4D6OvBJ4FXgGuAGq+i+HLpUXWacZEoIlXqxYuOYcalH0HwQrjCcXnNVj+QLWwNfwGTQHxo/yon48WH05/cM6iLgIjdm7YAJVLzDjVnLgPOsoltoVLdfGUeZEkJFXNg3MB71CFoLwhWG04Mu7PMw2fj/iNn6JVQCpTqyiu6TbsyaB0wBjgF2BXpaseola6yl3spoHGVKEBpgZ+26M0Un5bQ8U+xHPYJgulRvddSDP67C2JlaTsQ7ljHfz0liR+DTmLT+T2PME+daRfe1Dsg2Juola6xFVkZCA9o2U+xnPYJguiSro3HD/Ei+cHA5Eb+pE535raCWAH/FKOtqYHvgy17KFayie2Go0o0Rv2SNsjISGjDVSTntmin2tR6B7NEkDHEqcGYkX/gX8C+Mw48uJ+LTw+jMb4A6B+NlBCY2pJqey4osCG1kvp21D3ZSTjtmiqJHwkBQTsQ387+qffg5SXx7tHNuzOra1gOj0WxmbkFowKnAmXbWHjZTdFJO0zPFftMjEO87oT6RfEEBnwV2KCfi34nkC9sBs8qJ+IIw+hvLflCnAT9olyBjRTJzC+3ESTmdmin2lB6BeN8JDfkJZofpA4HvAC8DPwb2CqOzsQxQyv+SziFuzUI7sbP20EzRSTnfsbP2dsAsJ+W0e6bYU3oE4n0nNGSfciL+nki+8AhAORFfFckXQtumeSwDlNjOhUGmUzNF0SOhY0TyhYOAizGJj39ZTsQzTTbxRiRfmIj3vfUCd9e3V8oN+LmZr6G+AilMLIcgDCr7OCnnPXbWfgTASTmr7Kzd0kxR9EjoBbyB5cfAh4DlwEORfOHGciL+eBPN/BC4AZgRyRfOxSRQ/mbbhfXwc5Jo2Q7vxqztMDuJRjAj7Fyr6F7sxqxvYwIgK3nJzrSKbkd86vuV2tRLI85LKqYweMPO2kMzRS9wt6WZ4lj0CMLVpf/3t+U8+vKrYxGvb3j9o4ezfu1aJlz1h1GvWf+BJBOmTmXjR/7WQcmaZ49Np/CdXbZtttrewJJyIr4UIJIvXIOJzQs8QJUT8d9E8oVFmI0yFXBYORF3mxUkKGMx8fmxDvi6VXQfdmPWZsAiN2bd7p27yCq63w+x74EhSE67QQ84trP2MLOEk3KaNUu0wtBM0c7aoc8UfRBdagMTt/TXkQlTpwa6rkfZSCm1sOp4rtZ6btXxNphA8QrLgX2a6SCSL2wBrASuriqbVE7E32hBXl9CG6CsorsCWOF9XuPGLBfzBxKaIIjzxyAHHHurmGFmCTtr3+iknGbMEk3jpJzf2Fl72EzRSTmhzRQbEaYutTAL72N26bYAYbNOa71ng/P1HHKafQb6MLAdsMpr763Aiki+sBL4QjkRX9Rkew2Z0M7GRsONWVHg3cCDXtFX3Jj1VzdmXeZtfT0CpdSJSqmFSqmF69ZJXuxxzN7AEiflLHVSzr8waYIODbtTO2tXzxSvAp61s/aksPv1Q3RJGAPLMYNLhW2BZ5ps4xbg4HIivlU5Ed8S+ChwLfBljGNRWwnTxAeAG7M2Ba4DvmYV3dVuzPopxitKe+8XACMScHpL07kA06ZNGzbKf3fBdym+WBx2/eIXF7PbFrs1Ld/iFxdzXNUKZLR2qq8L2leQtmuvqddGK30FoZW2g/x9mmk7AGM2S7RI3ZminbVXAl9wUk5bZ4pBCEOXhHHFQ8AukXxhB+AfmPyQn2myjT3LifhJlYNyIn5bJF84r5yInxbJFzZuo6wAKK3D+766MWsSMB+4tV6+MW82ON8quns0akcptR6zl041G0FfbjnUj3KHLfMUzIBQYch2bmftw4GPOCnnBO/4GGBvJ+V8NUR5sLP2z4AbnJRzq3f8YeAgzGzxYifldGKQHEJ0aQT9KDOEK/cUrXVDq1gkXzgYExg+EbisnIif20wHkXzhNuAOjCUD4EiM+f0g4KFyIt5w9+hmCW0F5cYsBVwKuNUK5casWZ5NHeDjwKN+bdX7oyulFvrYW3uSfpS7yzK3wyzRCns6KWdopuiknNvsrH2ek3JOs7N222eKjRBdGkk/ygzdl9vLQj4Wr+nPAGcBv8dYFu71yiYCbY/uDtPEtz9mzxvHjVmVPW/OBI5yY1YcY5YoAV8MUQah/3kI2MXO2mMxS7TCi3bWPp3hM8VVntNGaIGJoyC6JPQE5UT8eeCrkXxhOrC+nIhX7wy9pN39henFdy/1vUYk5kkIjJNy1tlZ+yvArXhmCSflPNaBrjs6U2yE6JLQK0TyBRsTk7eFd/w8kCon4r6r91YI3UkiROb6X9KT9KPcXZXZ2/Kioz/GTsp5HviqnbWnA+udlBPqTLHLyHeyc/Sr3BV+DpxWTsTzAJF8YTbmnvYLo7NQnSSE/9/e/YXIdZZxHP/+GtqKIbTWPz0rqMWq9CLvZvzXQhNCRrzwQmIu7IVEnNJCERUtvWkVq6ggwVKkiopCQo9SW2xIq7GotHAkNaHYNp5yqqEmJOBNpzYWY2xsleTx4pzZnd1sdrO78845Z/b5wDAzZ/68b5Z58j7v+fO8rq1CGuZkisBJoFf0iiiZonNtkGT5c/1uZ9NS20alzTMo52L6MXBH0SsygJCGbUTMFJ1rieNJlt8N/Kx6/mngRKzGxnKh7qhJ+pikFyQdk3RX3f1ZiKQ9kv4u6fmhbVdJelzS0ep+wQsr6yLpHZIySUck/VnSl6rtje53JOsHgxNA0St+D6yvrzuj14Y4Ao+lhrkFeCuwr7q9BYhWyqZ1u/gkrQP+ylDpG+BTZha19M1ySdpKuUTDT81sY7XtO8ArZrar+g/hTWZ2Z539HCZpCpgys8OSNgDPAjuAm2lwv2MIaXiE8tqs4UzxQ0Wv2FFfr0anLXEEHktNUVVD/12/2/nouNps4wzqeuCYmR03s7GVvlkuMzsAvDJv8yeAtHqcUv5gG8PMXjSzw9Xj08Cg5luj+x3JWDPFGrQijsBjqSn63c5Z4EyS5VeMq802HoOqq/TNKFxtZi9C+QOW9La6O3Qhkq5htuZba/o9CtW1Tg8XvWJsmWIN2hxH0KLf5ITF0mtAkWT548Crg439bueLMRpr4wxqFBV53SIkzdR8M7N/1d2fcSt6xVngTEjD2DLFGngcjcEExtJjwN3AAcrdloNbFG2cQdVV+mYUXpI0VWVOU5TVshtF0qWUAfWAme2rNje+3xG8BhQhDXMyxaJXRMkUa9DmOIIW/CYnMZb63U669LtGp40D1NPAeyWNu/TNKPwK6AG7qvtf1tuduSTN1Hwzs+GCpI3udySPVbdJ1eY4gob/JictlpIsL1hkht3vdqZjtNu6s/gAJM2pyGtmy6rIOw6SHgS2UR5cf4nZsjm/AN4J/A24yczmH/ytjaQtwJNAwWy9ua9Q7jtvbL/dyrQhjsBjqQmSLH9X9fDz1f3g7NadwJl+t/PNGO22coByLpaQhkUzxaJXRMkUnWuDJMsP9rudzUttG5U27uJzLqaPV/cLZorj745zjbI+yfIt/W7nDwBJlt9IxAvYfQbl3AJCGg4WvWLzUtucW0uSLP8gsAe4gnJPwyngln63c3jRD65QG08zd24c1oc0bBk8CWmImik61xJ5VRh2Guj0u51OrMEJfBefcxdyK7CnuhZqJlOst0vO1e5YkuV7KZeLPxK7MR+gnFtYXvSKTdV6UCp6xam6O+RcA0xTXpKwO8nySyh39z3U73aiXITsx6CcW0BIwwlgL+UKvtEzRefaJsnyrcCDwJWUsfKtfrcz0sU8/RjUKki6UtLnhp6/XdLeSG3tkPS16vH9kj55EZ+5TNIBST5TXr5pymrfu0MangppuK2aTbkR8zhqjyTL1yVZvj3J8keA+4B7gXcD+4mw6rXPoFahKgL568ESAJHbOgRsN7OTku6v2r1gEEtaZ2ZnJX2dsmr1A7H7OKlCGs7LFIteMWnLvtfG46g9kiw/DmTA7n63c2jea98bddFYn0Gtzi7gWkm5pHskXTNYVE3SzZIelbRf0glJX5B0h6Q/SXpK0lXV+66V9FtJz0p6UtJ18xuR9D7gdTM7ObR5q6RDko4PskBJ26pF0n5OeQU7lFfc74z5R5hEIQ3rQhq2V+tCRc8U1ziPo/aY7nc7t84fnCBORfM1P2VdpbuAjWbWgZlMcNhGyjL7bwCOAXea2fslfRf4DGWZmZ8AnzWzo5JuAH4IfGTe92ymXDxv2BSwBbiOsr7XIAu8vurTYBnm54EPr+LfuFYdpcwU7yl6xXAw7q1mVG50PI4aLsny71NVWEmy/LzXYy234QNUXFm1WNlpSacos28os7LpqhT/jcDDZW1JAC5f4HumgJfnbXvUzM4Bf5F09dD2Pw4FFdXuif9K2lD1xV2c6aJX/HuhFyaoonlbeBzV75mhx9+grIcYnQ9Qcb0+9Pjc0PNzlH/7S4B/DjLHRfyH8srtC3338No+r3K+yymXj3BLCGmYyRRDGs573QenWngc1Wx4mY0ky28f17IbfgxqdU4DG1b64WoBsxOSboKyRL+kTQu89QjwnpW0IenNwMtm9r+V9nONeYbZRdi2M3dRtmgLs61xHkftMrYz63wGtQpm9g9JB6sDur8BfrCCr9kJ/EjSV4FLgYeA5+a95wBwryTZ8k+77OIH9S9a0StmMsOQhtuHn7s4PI7chfhp5i0h6T5gv5k9sczP7QO+bGYvxOnZ5AppOFz0ig/U3Q83Oh5HK5Nk+WlmZ05vZLayvwDrdztRrhH0GVR7fBu4YTkfkHQZ5UHgNRlUzi3A42gF+t3OinfBrobPoJwbEtKwaKZY9AqvJuHcmPgA5ZxzrpH8LD7nnHON5AOUc865RvIByjnnXCP5AOWcc66RfIByzjnXSD5AOeeca6T/A9Tnsrr3JXZYAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "generate_plots(m.scenario[0], d=8, y=2022, set_time=m.set_time, lmp=m.LMP[0])" ] From 3de7f7b2b9749a8ee6bbc9ec4f3eef4db6c22f96 Mon Sep 17 00:00:00 2001 From: "Gabriel J. Soto" Date: Mon, 29 Aug 2022 11:21:02 -0600 Subject: [PATCH 05/29] printing NPV value from optimization --- .../multiperiod_design_pricetaker_wTEAL.ipynb | 952 +++++++++--------- 1 file changed, 450 insertions(+), 502 deletions(-) diff --git a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb index aff970923..4007b3c1c 100644 --- a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb +++ b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb @@ -44,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": 106, + "execution_count": 1, "id": "automated-antigua", "metadata": {}, "outputs": [], @@ -89,7 +89,7 @@ }, { "cell_type": "code", - "execution_count": 107, + "execution_count": 2, "id": "e3e331c5", "metadata": {}, "outputs": [], @@ -142,7 +142,7 @@ }, { "cell_type": "code", - "execution_count": 108, + "execution_count": 3, "id": "annoying-myrtle", "metadata": { "scrolled": false @@ -152,58 +152,58 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-08-23 10:20:55 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-08-23 10:20:55 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:55 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:55 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-08-23 10:20:55 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:55 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-08-23 10:20:55 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:55 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:55 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-08-23 10:20:56 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:56 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:56 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:56 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-08-23 10:20:56 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:56 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-08-23 10:20:56 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:56 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:56 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:56 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-08-23 10:20:56 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:56 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-08-23 10:20:56 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:56 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-08-23 10:20:56 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:57 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:57 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-23 10:20:57 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-08-23 10:20:57 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-08-23 10:20:57 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:57 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-08-23 10:20:57 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:57 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:57 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-08-23 10:20:57 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:57 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:57 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-23 10:20:57 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:58 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:20:59 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-23 10:20:59 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "2022-08-29 06:28:07 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-08-29 06:28:07 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:07 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:07 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-08-29 06:28:07 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:07 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-08-29 06:28:07 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:07 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:07 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-08-29 06:28:08 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:08 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:08 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:08 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-08-29 06:28:08 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:08 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-08-29 06:28:08 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:08 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:08 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:08 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:12 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-29 06:28:12 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", "Degrees of freedom: 0\n", "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", "tol=1e-06\n", @@ -253,7 +253,7 @@ "Number of equality constraint Jacobian evaluations = 2\n", "Number of inequality constraint Jacobian evaluations = 0\n", "Number of Lagrangian Hessian evaluations = 1\n", - "Total seconds in IPOPT = 0.006\n", + "Total seconds in IPOPT = 0.029\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -261,10 +261,10 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.11427092552185059}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.16513776779174805}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, - "execution_count": 108, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -300,7 +300,7 @@ }, { "cell_type": "code", - "execution_count": 109, + "execution_count": 4, "id": "animal-astronomy", "metadata": {}, "outputs": [ @@ -375,7 +375,7 @@ }, { "cell_type": "code", - "execution_count": 110, + "execution_count": 5, "id": "guilty-appliance", "metadata": {}, "outputs": [], @@ -405,7 +405,7 @@ }, { "cell_type": "code", - "execution_count": 111, + "execution_count": 6, "id": "involved-skill", "metadata": {}, "outputs": [], @@ -448,7 +448,7 @@ }, { "cell_type": "code", - "execution_count": 112, + "execution_count": 7, "id": "driven-allah", "metadata": {}, "outputs": [], @@ -483,7 +483,7 @@ }, { "cell_type": "code", - "execution_count": 113, + "execution_count": 8, "id": "1cf94ff3", "metadata": {}, "outputs": [ @@ -570,7 +570,7 @@ }, { "cell_type": "code", - "execution_count": 114, + "execution_count": 9, "id": "senior-multimedia", "metadata": {}, "outputs": [], @@ -627,7 +627,7 @@ }, { "cell_type": "code", - "execution_count": 115, + "execution_count": 10, "id": "democratic-aurora", "metadata": {}, "outputs": [ @@ -637,62 +637,62 @@ "text": [ "[ 0.00] Processing input information.\n", "[+ 0.00] Beginning the formulation of the multiperiod problem.\n", - "[+ 143.92] Completed the formulation of the multiperiod problem\n", - "2022-08-23 10:23:24 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-08-23 10:23:24 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:24 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:24 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-08-23 10:23:24 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:24 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-08-23 10:23:24 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:24 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:24 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-08-23 10:23:24 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:24 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:24 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:24 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-08-23 10:23:25 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:25 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-08-23 10:23:25 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:25 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:25 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:25 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-08-23 10:23:25 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:25 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-08-23 10:23:25 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:25 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-08-23 10:23:25 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:25 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:26 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-23 10:23:26 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-08-23 10:23:26 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-08-23 10:23:26 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:26 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-08-23 10:23:26 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:26 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:26 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-08-23 10:23:26 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:26 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:27 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-23 10:23:27 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-08-23 10:23:27 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:27 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-08-23 10:23:27 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:27 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-08-23 10:23:27 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-23 10:23:27 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-08-23 10:23:27 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:27 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-08-23 10:23:28 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:28 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:28 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-08-23 10:23:28 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:28 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:23:28 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-23 10:23:28 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", - "[+ 4.89] Created an instance of the flowsheet and initialized it.\n", - "[+ 21.01] Initialized the entire multiperiod optimization model.\n", - "[+ 0.36] Unfixed the degrees of freedom from each period model.\n" + "[+ 215.91] Completed the formulation of the multiperiod problem\n", + "2022-08-29 06:31:48 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-08-29 06:31:48 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:48 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:48 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:49 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-08-29 06:31:49 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:49 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-08-29 06:31:50 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:50 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:50 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:51 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "[+ 6.01] Created an instance of the flowsheet and initialized it.\n", + "[+ 27.33] Initialized the entire multiperiod optimization model.\n", + "[+ 0.68] Unfixed the degrees of freedom from each period model.\n" ] } ], @@ -724,7 +724,7 @@ }, { "cell_type": "code", - "execution_count": 116, + "execution_count": 11, "id": "optimum-closing", "metadata": {}, "outputs": [], @@ -820,7 +820,7 @@ }, { "cell_type": "code", - "execution_count": 117, + "execution_count": 12, "id": "cbf4c9c2", "metadata": {}, "outputs": [], @@ -910,7 +910,7 @@ }, { "cell_type": "code", - "execution_count": 118, + "execution_count": 13, "id": "418b46b4", "metadata": {}, "outputs": [ @@ -973,7 +973,7 @@ }, { "cell_type": "code", - "execution_count": 119, + "execution_count": 14, "id": "0b30e827", "metadata": {}, "outputs": [], @@ -1061,7 +1061,7 @@ }, { "cell_type": "code", - "execution_count": 120, + "execution_count": 15, "id": "2df7b4f5", "metadata": {}, "outputs": [], @@ -1081,7 +1081,7 @@ }, { "cell_type": "code", - "execution_count": 121, + "execution_count": 16, "id": "463cfe9b", "metadata": {}, "outputs": [], @@ -1154,7 +1154,7 @@ }, { "cell_type": "code", - "execution_count": 122, + "execution_count": 17, "id": "e9157024", "metadata": {}, "outputs": [], @@ -1196,7 +1196,7 @@ }, { "cell_type": "code", - "execution_count": 123, + "execution_count": 18, "id": "qualified-bargain", "metadata": {}, "outputs": [], @@ -1312,7 +1312,7 @@ }, { "cell_type": "code", - "execution_count": 124, + "execution_count": 19, "id": "republican-diagnosis", "metadata": {}, "outputs": [], @@ -1333,7 +1333,7 @@ }, { "cell_type": "code", - "execution_count": 125, + "execution_count": 20, "id": "c5844dcd", "metadata": {}, "outputs": [ @@ -1342,24 +1342,24 @@ "output_type": "stream", "text": [ "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [0. 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005\n", - " 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005\n", - " 0.0005]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1.\n", - " -1. -1. -1.]\n", + "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", + " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", + " 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", + " 0. 0. 0.]\n", "DEBUGG cRH life: pem 21\n", "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [0. 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005\n", - " 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005\n", - " 0.0005]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1.\n", - " -1. -1. -1.]\n", + "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", + " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", + " 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", + " 0. 0. 0.]\n", "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [0. 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005\n", - " 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005\n", - " 0.0005]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1.\n", - " -1. -1. -1.]\n", + "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", + " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", + " 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", + " 0. 0. 0.]\n", "DEBUGG cRH life: h2turbine 21\n", "DEBUGG cRH life: electricity_market 21\n", "DEBUGG cRH life: h2_market 21\n", @@ -1371,7 +1371,7 @@ "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", "CashFlow INFO (run): ==========================================================================================\n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1400,7 +1400,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1424,12 +1424,12 @@ "CashFlow INFO (compLife): 14 , , , \n", "CashFlow INFO (compLife): 15 , , , \n", "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1453,12 +1453,12 @@ "CashFlow INFO (compLife): 14 , , , \n", "CashFlow INFO (compLife): 15 , , , \n", "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -1484,7 +1484,7 @@ "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -1511,7 +1511,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1540,7 +1540,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1564,12 +1564,12 @@ "CashFlow INFO (compLife): 14 , , , \n", "CashFlow INFO (compLife): 15 , , , \n", "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1593,12 +1593,12 @@ "CashFlow INFO (compLife): 14 , , , \n", "CashFlow INFO (compLife): 15 , , , \n", "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1627,7 +1627,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1651,12 +1651,12 @@ "CashFlow INFO (compLife): 14 , , , \n", "CashFlow INFO (compLife): 15 , , , \n", "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1680,12 +1680,12 @@ "CashFlow INFO (compLife): 14 , , , \n", "CashFlow INFO (compLife): 15 , , , \n", "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -1711,7 +1711,7 @@ "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -1738,7 +1738,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: electricity_market \n", + "DEBUGG comp: electricity_market \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -1765,7 +1765,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2_market \n", + "DEBUGG comp: h2_market \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -1849,10 +1849,10 @@ "CashFlow INFO (proj comp): 14: \n", "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -1876,10 +1876,10 @@ "CashFlow INFO (proj comp): 14: \n", "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -1988,10 +1988,10 @@ "CashFlow INFO (proj comp): 14: \n", "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -2015,10 +2015,10 @@ "CashFlow INFO (proj comp): 14: \n", "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2turbine\" ...\n", "CashFlow INFO (proj comp): ... component start: 0\n", @@ -2073,10 +2073,10 @@ "CashFlow INFO (proj comp): 14: \n", "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -2100,10 +2100,10 @@ "CashFlow INFO (proj comp): 14: \n", "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -2274,7 +2274,7 @@ }, { "cell_type": "code", - "execution_count": 126, + "execution_count": 21, "id": "71991e45", "metadata": {}, "outputs": [], @@ -2287,7 +2287,7 @@ }, { "cell_type": "code", - "execution_count": 127, + "execution_count": 22, "id": "d7355a37", "metadata": {}, "outputs": [ @@ -2303,7 +2303,7 @@ "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", "CashFlow INFO (run): ==========================================================================================\n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2332,7 +2332,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2356,12 +2356,12 @@ "CashFlow INFO (compLife): 14 , , , \n", "CashFlow INFO (compLife): 15 , , , \n", "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2385,12 +2385,12 @@ "CashFlow INFO (compLife): 14 , , , \n", "CashFlow INFO (compLife): 15 , , , \n", "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -2416,7 +2416,7 @@ "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -2443,7 +2443,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2472,7 +2472,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2496,12 +2496,12 @@ "CashFlow INFO (compLife): 14 , , , \n", "CashFlow INFO (compLife): 15 , , , \n", "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2525,12 +2525,12 @@ "CashFlow INFO (compLife): 14 , , , \n", "CashFlow INFO (compLife): 15 , , , \n", "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2559,7 +2559,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2583,12 +2583,12 @@ "CashFlow INFO (compLife): 14 , , , \n", "CashFlow INFO (compLife): 15 , , , \n", "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2612,12 +2612,12 @@ "CashFlow INFO (compLife): 14 , , , \n", "CashFlow INFO (compLife): 15 , , , \n", "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -2643,7 +2643,7 @@ "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -2670,7 +2670,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: electricity_market \n", + "DEBUGG comp: electricity_market \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -2697,7 +2697,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2_market \n", + "DEBUGG comp: h2_market \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -2781,10 +2781,10 @@ "CashFlow INFO (proj comp): 14: \n", "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -2808,10 +2808,10 @@ "CashFlow INFO (proj comp): 14: \n", "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -2920,10 +2920,10 @@ "CashFlow INFO (proj comp): 14: \n", "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -2947,10 +2947,10 @@ "CashFlow INFO (proj comp): 14: \n", "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2turbine\" ...\n", "CashFlow INFO (proj comp): ... component start: 0\n", @@ -3005,10 +3005,10 @@ "CashFlow INFO (proj comp): 14: \n", "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -3032,10 +3032,10 @@ "CashFlow INFO (proj comp): 14: \n", "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -3207,171 +3207,114 @@ "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", " 0 -1.1949854e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -1.4615964e+09 1.91e+05 2.08e+04 -1.0 2.80e+06 - 8.13e-04 8.91e-01f 1\n", - " 2 -1.4962109e+09 7.77e+03 1.27e+04 -1.0 5.00e+05 - 1.82e-03 9.90e-01f 1\n", - " 3 -1.4966101e+09 2.28e+02 6.53e+03 -1.0 9.98e+03 - 2.59e-01 9.71e-01h 1\n", - " 4 -1.4966125e+09 1.35e+02 9.36e+03 -1.0 1.28e+03 - 7.18e-03 4.10e-01f 1\n", - " 5 -1.4966226e+09 1.35e+01 4.02e+03 -1.0 4.32e+02 - 3.33e-01 9.91e-01h 1\n", - " 6 -1.4966250e+09 4.56e+00 2.56e+05 -1.0 9.74e+01 - 5.72e-01 1.00e+00f 1\n", - " 7 -1.4966313e+09 1.46e+00 1.34e+06 -1.0 1.26e+02 - 8.62e-01 1.00e+00f 1\n", - " 8 -1.4966565e+09 2.47e-01 6.72e+05 -1.0 5.18e+02 - 4.98e-01 4.80e-01f 1\n", - " 9 -1.4967763e+09 6.43e-01 6.64e+05 -1.0 1.10e+03 - 1.16e-02 1.00e+00f 1\n", + " 1 -1.4615999e+09 1.91e+05 2.08e+04 -1.0 2.80e+06 - 8.11e-04 8.91e-01f 1\n", + " 2 -1.4971840e+09 7.77e+03 1.27e+04 -1.0 5.00e+05 - 1.82e-03 9.90e-01f 1\n", + " 3 -1.4976246e+09 2.28e+02 6.53e+03 -1.0 9.98e+03 - 2.59e-01 9.71e-01h 1\n", + " 4 -1.4976368e+09 3.55e+01 2.38e+05 -1.0 7.90e+01 -4.0 4.37e-02 8.22e-01h 1\n", + " 5 -1.4976366e+09 4.60e+01 3.57e+05 -1.0 3.46e+03 - 2.43e-03 9.75e-02f 1\n", + " 6 -1.4976412e+09 5.18e+01 9.16e+05 -1.0 1.89e+03 - 4.39e-01 1.00e+00f 1\n", + " 7 -1.4976420e+09 4.52e+01 6.58e+06 -1.0 3.71e+02 -4.5 9.22e-01 1.25e-01f 4\n", + " 8 -1.4976553e+09 1.67e+01 3.59e+06 -1.0 1.42e+03 -5.0 4.40e-01 4.53e-01f 2\n", + " 9 -1.4977569e+09 2.01e+00 3.87e+05 -1.0 8.25e+02 -5.4 4.00e-02 1.00e+00f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -1.4969256e+09 1.48e+01 6.17e+05 -1.0 7.63e+03 - 7.08e-02 1.00e+00f 1\n", - " 11 -1.4971144e+09 3.24e+01 5.29e+05 -1.0 7.54e+03 - 1.42e-01 1.00e+00f 1\n", - " 12 -1.4973960e+09 1.40e+01 4.53e+05 -1.0 9.75e+03 - 1.44e-01 1.00e+00f 1\n", - " 13 -1.4978344e+09 7.36e+00 3.77e+05 -1.0 1.04e+04 - 1.68e-01 1.00e+00f 1\n", - " 14 -1.4985776e+09 2.08e+00 3.14e+05 -1.0 1.56e+04 - 1.68e-01 1.00e+00f 1\n", - " 15 -1.4999065e+09 6.31e-01 2.63e+05 -1.0 2.31e+04 - 1.62e-01 1.00e+00f 1\n", - " 16 -1.4999102e+09 7.73e-05 2.35e+04 -1.0 5.75e+01 -4.5 9.11e-01 1.00e+00f 1\n", - " 17 -1.5028700e+09 2.09e-02 2.31e+04 -1.0 3.73e+05 - 1.91e-02 1.10e-01f 1\n", - " 18 -1.5090914e+09 3.38e-02 2.26e+04 -1.0 6.53e+05 - 1.90e-02 1.18e-01f 1\n", - " 19 -1.5219198e+09 3.93e-02 2.22e+04 -1.0 1.20e+06 - 1.91e-02 1.18e-01f 1\n", + " 10 -1.4979926e+09 1.22e+01 3.49e+05 -1.0 2.36e+03 -5.9 1.00e-01 1.00e+00f 1\n", + " 11 -1.4987457e+09 3.13e+02 3.17e+05 -1.0 7.13e+03 - 9.13e-02 1.00e+00f 1\n", + " 12 -1.4993552e+09 7.13e+00 2.47e+05 -1.0 4.50e+03 -6.4 2.19e-01 1.00e+00f 1\n", + " 13 -1.5014293e+09 3.18e+00 2.21e+05 -1.0 1.41e+04 - 1.09e-01 1.00e+00f 1\n", + " 14 -1.5034098e+09 8.92e-02 1.72e+05 -1.0 1.02e+04 -6.9 2.22e-01 1.00e+00f 1\n", + " 15 -1.5114236e+09 2.36e-01 1.55e+05 -1.0 3.84e+04 - 9.59e-02 1.00e+00f 1\n", + " 16 -1.5312970e+09 2.62e-01 1.36e+05 -1.0 8.03e+04 - 1.21e-01 1.00e+00f 1\n", + " 17 -1.5541824e+09 1.38e-01 1.22e+05 -1.0 2.04e+05 - 1.04e-01 4.21e-01f 1\n", + " 18 -1.5544114e+09 1.37e-01 1.02e+05 -1.0 1.78e+05 - 1.63e-01 4.96e-03f 1\n", + " 19 -1.5544217e+09 1.28e-01 2.27e+04 -1.0 2.81e+04 - 7.78e-01 6.77e-02f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20 -1.5220491e+09 3.92e-02 2.15e+04 -1.0 1.26e+06 - 3.24e-02 1.49e-03f 1\n", - " 21 -1.5220487e+09 1.89e-04 2.15e+02 -1.0 4.70e+01 -4.6 9.90e-01 1.00e+00f 1\n", - " 22 -1.5220487e+09 2.11e-09 2.10e+00 -1.0 2.30e+00 -3.3 9.90e-01 1.00e+00f 1\n", - " 23 -1.5220519e+09 6.10e-10 4.59e+04 -1.7 1.20e+01 -3.7 9.94e-01 1.00e+00f 1\n", - " 24 -1.5220538e+09 5.39e-10 5.27e-03 -1.7 3.67e+01 -4.2 1.00e+00 1.00e+00f 1\n", - " 25 -1.5221876e+09 1.72e-06 3.70e-01 -3.8 8.94e+07 - 7.68e-04 1.24e-03f 1\n", - " 26 -1.5221882e+09 1.31e-06 1.41e+06 -3.8 4.34e+01 -4.3 9.41e-01 2.34e-01f 1\n", - " 27 -1.5222541e+09 2.29e-06 1.41e+06 -3.8 1.40e+09 - 5.19e-05 7.18e-05f 1\n", - " 28 -1.5222543e+09 1.70e-06 1.13e+06 -3.8 8.08e+00 -3.4 1.00e+00 2.59e-01f 1\n", - " 29 -1.5222549e+09 8.18e-07 5.49e+05 -3.8 2.22e+01 -3.9 6.11e-01 5.13e-01f 1\n", + " 20 -1.5545105e+09 3.93e-02 1.79e+04 -1.0 7.49e+04 - 2.10e-01 4.91e-01f 1\n", + " 21 -1.5545340e+09 4.09e-01 1.61e+04 -1.0 6.34e+04 - 1.03e-01 1.88e-01f 1\n", + " 22 -1.5545517e+09 4.25e-01 1.39e+04 -1.0 6.01e+04 - 1.38e-01 1.62e-01f 1\n", + " 23 -1.5545792e+09 4.51e-01 1.16e+04 -1.0 5.87e+04 - 1.67e-01 2.76e-01f 1\n", + " 24 -1.5545853e+09 3.85e-03 2.13e+03 -1.0 5.75e+02 -6.1 8.16e-01 1.00e+00f 1\n", + " 25 -1.5546662e+09 1.18e-01 1.70e+03 -1.0 2.67e+05 - 1.99e-01 2.46e-01f 1\n", + " 26 -1.5546749e+09 4.85e-01 1.38e+03 -1.0 1.19e+05 - 1.89e-01 3.91e-01f 1\n", + " 27 -1.5546741e+09 4.26e-01 1.03e+03 -1.0 7.38e+04 - 2.56e-01 4.91e-01f 1\n", + " 28 -1.5546738e+09 4.11e-01 7.07e+02 -1.0 5.17e+04 - 3.12e-01 6.62e-01f 1\n", + " 29 -1.5546622e+09 4.05e-01 4.30e+02 -1.0 2.89e+04 - 3.92e-01 9.28e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30 -1.5222552e+09 6.93e-07 4.65e+05 -3.8 6.00e+01 -4.4 2.02e-01 1.52e-01f 1\n", - " 31 -1.5222553e+09 6.03e-07 4.06e+05 -3.8 2.28e+01 -3.9 4.71e-01 1.28e-01f 1\n", - " 32 -1.5222555e+09 2.77e-07 1.87e+05 -3.8 8.62e+00 -3.5 7.15e-01 5.38e-01f 1\n", - " 33 -1.5222556e+09 2.26e-07 1.53e+05 -3.8 2.56e+01 -4.0 2.74e-01 1.83e-01f 1\n", - " 34 -1.5222558e+09 2.04e-07 1.38e+05 -3.8 7.71e+01 -4.5 1.24e-01 1.00e-01f 1\n", - " 35 -1.5222559e+09 1.82e-07 1.23e+05 -3.8 2.93e+01 -4.0 4.68e-01 1.07e-01f 1\n", - " 36 -1.5222560e+09 1.22e-07 8.25e+04 -3.8 1.12e+01 -3.6 1.00e+00 3.29e-01f 1\n", - " 37 -1.5223190e+09 1.20e-06 8.25e+04 -3.8 7.72e+09 - 7.81e-06 1.53e-05f 1\n", - " 38 -1.5223192e+09 7.26e-07 5.00e+04 -3.8 1.26e+01 -3.7 3.19e-01 3.95e-01f 1\n", - " 39 -1.5223192e+09 6.99e-07 4.81e+04 -3.8 3.74e+01 -4.1 5.66e-01 3.76e-02f 1\n", + " 30 -1.5546621e+09 2.03e-01 2.87e+02 -1.0 2.26e+01 -3.9 3.33e-01 5.00e-01f 2\n", + " 31 -1.5546620e+09 2.76e-06 2.84e+00 -1.0 1.04e+01 -4.4 9.90e-01 1.00e+00h 1\n", + " 32 -1.5546440e+09 1.75e-01 1.45e+02 -1.0 3.37e+04 - 4.34e-01 1.00e+00f 1\n", + " 33 -1.5546332e+09 3.03e-01 8.32e+01 -1.0 2.67e+04 - 6.71e-01 1.00e+00f 1\n", + " 34 -1.5546332e+09 5.61e-06 5.99e-04 -1.0 5.77e+00 -4.9 1.00e+00 1.00e+00h 1\n", + " 35 -1.5546366e+09 2.41e-06 4.26e+06 -3.8 4.47e+01 -4.5 9.98e-01 5.71e-01f 1\n", + " 36 -1.5546379e+09 1.13e-06 2.00e+06 -3.8 2.63e+01 -4.1 7.17e-01 5.31e-01f 1\n", + " 37 -1.5546386e+09 3.47e-07 6.16e+05 -3.8 1.23e+01 -3.7 7.36e-01 6.92e-01f 1\n", + " 38 -1.5546417e+09 1.63e-04 6.15e+05 -3.8 7.90e+07 - 2.54e-03 3.06e-05f 1\n", + " 39 -1.5546424e+09 1.11e-04 4.16e+05 -3.8 8.03e+01 -4.6 8.88e-03 3.22e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40 -1.5223195e+09 6.30e-07 4.34e+04 -3.8 1.09e+02 -4.6 1.05e-01 9.83e-02f 1\n", - " 41 -1.5223195e+09 6.21e-07 4.28e+04 -3.8 6.31e+01 -4.2 6.55e-01 1.30e-02f 1\n", - " 42 -1.5223196e+09 5.24e-07 3.61e+04 -3.8 1.79e+01 -3.8 1.00e+00 1.57e-01f 1\n", - " 43 -1.5223196e+09 3.18e-07 2.19e+04 -3.8 5.33e+00 -3.3 1.00e+00 3.93e-01f 1\n", - " 44 -1.5223197e+09 2.48e-07 1.71e+04 -3.8 1.39e+01 -3.8 8.96e-01 2.18e-01f 1\n", - " 45 -1.5223197e+09 1.76e-07 1.22e+04 -3.8 5.05e+00 -3.4 1.00e+00 2.89e-01f 1\n", - " 46 -1.5223198e+09 1.35e-07 9.32e+03 -3.8 1.46e+01 -3.9 5.44e-01 2.35e-01f 1\n", - " 47 -1.5223199e+09 1.24e-07 8.59e+03 -3.8 4.29e+01 -4.3 6.24e-01 7.76e-02f 1\n", - " 48 -1.5223584e+09 1.29e-06 8.59e+03 -3.8 5.98e+09 - 8.99e-06 1.55e-05f 1\n", - " 49 -1.5223585e+09 4.39e-07 2.94e+03 -3.8 6.09e+00 -3.5 1.00e+00 6.58e-01f 1\n", + " 40 -1.5546435e+09 1.30e-04 4.15e+05 -3.8 3.22e+07 - 1.90e-03 2.78e-05f 1\n", + " 41 -1.5546436e+09 1.24e-04 3.97e+05 -3.8 3.45e+02 -4.7 1.19e-01 4.40e-02f 1\n", + " 42 -1.5546437e+09 1.08e-04 3.49e+05 -3.8 3.36e+01 -4.2 9.58e-01 1.28e-01f 1\n", + " 43 -1.5546440e+09 9.33e-05 3.01e+05 -3.8 8.48e+01 -4.7 8.68e-01 1.40e-01f 1\n", + " 44 -1.5546442e+09 5.98e-05 1.92e+05 -3.8 3.21e+01 -4.3 1.00e+00 3.60e-01f 1\n", + " 45 -1.5546445e+09 4.64e-05 1.49e+05 -3.8 9.40e+01 -4.8 1.00e+00 2.23e-01f 1\n", + " 46 -1.5547218e+09 1.03e-01 1.48e+05 -3.8 8.27e+07 - 9.63e-03 7.13e-04f 1\n", + " 47 -1.5548137e+09 2.19e-01 9.16e+04 -3.8 7.40e+06 - 3.82e-01 1.04e-02f 1\n", + " 48 -1.5548165e+09 1.89e-01 9.82e+02 -3.8 1.96e+04 - 1.00e+00 1.36e-01f 1\n", + " 49 -1.5548186e+09 1.07e-01 5.16e+02 -3.8 4.95e+03 - 1.00e+00 4.28e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50 -1.5223585e+09 3.44e-07 2.31e+03 -3.8 1.78e+01 -4.0 1.00e+00 2.15e-01f 1\n", - " 51 -1.5223586e+09 3.15e-07 2.11e+03 -3.8 5.09e+01 -4.4 4.46e-01 8.44e-02f 1\n", - " 52 -1.5223848e+09 1.76e-06 2.11e+03 -3.8 5.96e+09 - 1.03e-05 1.73e-05f 1\n", - " 53 -1.5223848e+09 8.43e-07 1.01e+03 -3.8 7.27e+00 -3.6 1.00e+00 5.20e-01f 1\n", - " 54 -1.5224141e+09 3.42e-06 1.01e+03 -3.8 3.12e+09 - 1.26e-05 2.29e-05f 1\n", - " 55 -1.5224442e+09 4.34e-06 1.01e+03 -3.8 7.54e+09 - 1.01e-05 1.38e-05f 1\n", - " 56 -1.5224442e+09 3.63e-06 8.49e+02 -3.8 2.36e+01 -4.1 7.39e-01 1.63e-01f 1\n", - " 57 -1.5224634e+09 5.93e-06 8.49e+02 -3.8 4.86e+09 - 1.30e-05 2.16e-05f 1\n", - " 58 -1.5224764e+09 7.61e-06 8.49e+02 -3.8 6.02e+09 - 1.24e-05 1.85e-05f 1\n", - " 59 -1.5224911e+09 9.52e-06 8.49e+02 -3.8 5.75e+09 - 1.27e-05 1.96e-05f 1\n", + " 50 -1.5548186e+09 6.65e-02 2.78e+04 -3.8 1.32e+01 -4.9 4.53e-01 3.76e-01f 1\n", + " 51 -1.5548187e+09 3.40e-02 2.09e+03 -3.8 2.82e+00 -3.5 1.00e+00 4.88e-01f 1\n", + " 52 -1.5548187e+09 1.63e-02 6.14e+03 -3.8 5.74e+00 -4.0 1.00e+00 5.21e-01f 1\n", + " 53 -1.5548187e+09 7.73e-03 1.86e+03 -3.8 1.92e+00 -3.6 1.00e+00 5.26e-01f 1\n", + " 54 -1.5548201e+09 8.03e-03 1.18e+03 -3.8 3.42e+04 - 3.67e-01 5.38e-02f 1\n", + " 55 -1.5548206e+09 8.82e-03 3.37e+02 -3.8 2.34e+03 - 7.15e-01 2.76e-01f 1\n", + " 56 -1.5548208e+09 6.49e-03 8.45e+01 -3.8 3.72e+02 - 1.00e+00 5.76e-01f 1\n", + " 57 -1.5548208e+09 5.56e-05 1.05e-02 -3.8 2.87e+00 -4.1 1.00e+00 1.00e+00f 1\n", + " 58 -1.5548208e+09 8.55e-04 3.86e-02 -3.8 7.59e+01 - 1.00e+00 1.00e+00f 1\n", + " 59 -1.5548208e+09 1.99e-03 3.47e-03 -3.8 2.35e+01 - 1.00e+00 1.00e+00f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60 -1.5225015e+09 1.11e-05 8.49e+02 -3.8 4.95e+09 - 1.59e-05 1.79e-05f 1\n", - " 61 -1.5225015e+09 9.30e-06 7.10e+02 -3.8 9.20e+01 -3.8 1.00e+00 1.63e-01f 1\n", - " 62 -1.5225077e+09 1.45e-05 7.10e+02 -3.8 2.91e+09 - 2.85e-05 3.19e-05f 1\n", - " 63 -1.5225078e+09 1.08e-05 5.32e+02 -3.8 1.24e+01 -3.8 5.76e-01 2.51e-01f 1\n", - " 64 -1.5225151e+09 1.89e-05 5.32e+02 -3.8 3.66e+09 - 1.40e-05 3.95e-05f 1\n", - " 65 -1.5225173e+09 2.08e-05 5.32e+02 -3.8 1.53e+09 - 2.59e-05 1.93e-05f 1\n", - " 66 -1.5225174e+09 1.03e-05 2.66e+02 -3.8 3.41e+01 -3.5 1.00e+00 5.01e-01f 1\n", - " 67 -1.5225175e+09 8.50e-06 2.18e+02 -3.8 1.55e+01 -3.9 8.34e-01 1.78e-01f 1\n", - " 68 -1.5225175e+09 6.07e-06 1.56e+02 -3.8 5.82e+00 -3.5 1.00e+00 2.86e-01f 1\n", - " 69 -1.5225176e+09 4.75e-06 1.22e+02 -3.8 1.71e+01 -4.0 4.75e-01 2.17e-01f 1\n", + " 60 -1.5548208e+09 4.94e-06 1.06e-05 -3.8 8.19e-01 - 1.00e+00 1.00e+00h 1\n", + " 61 -1.5548209e+09 5.06e-04 1.36e+02 -5.7 1.57e+02 - 8.50e-01 3.91e-01f 1\n", + " 62 -1.5548209e+09 1.93e-04 3.31e+02 -5.7 1.76e-01 -2.9 6.31e-01 6.17e-01f 1\n", + " 63 -1.5548209e+09 1.02e-04 1.09e+02 -5.7 3.95e-01 -3.4 7.81e-01 4.70e-01f 1\n", + " 64 -1.5548209e+09 9.86e-05 1.06e+02 -5.7 5.68e+02 - 1.84e-02 3.26e-02f 1\n", + " 65 -1.5548209e+09 9.57e-05 1.01e+02 -5.7 2.34e+02 - 5.27e-02 3.65e-02f 1\n", + " 66 -1.5548209e+09 9.41e-05 8.51e+01 -5.7 1.07e+02 - 1.74e-01 2.54e-02f 1\n", + " 67 -1.5548209e+09 9.21e-05 7.84e+01 -5.7 5.69e+01 - 8.52e-02 3.22e-02f 1\n", + " 68 -1.5548209e+09 8.71e-05 7.19e+01 -5.7 4.02e+01 - 8.41e-02 8.12e-02f 1\n", + " 69 -1.5548209e+09 2.41e-05 1.48e+01 -5.7 7.32e-02 -2.6 4.83e-01 7.23e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70 -1.5225251e+09 1.50e-05 1.22e+02 -3.8 2.87e+09 - 2.41e-05 4.43e-05f 1\n", - " 71 -1.5225253e+09 1.45e-05 1.17e+02 -3.8 1.46e+02 -5.0 4.12e-01 3.73e-02f 1\n", - " 72 -1.5225254e+09 1.28e-05 1.04e+02 -3.8 5.38e+01 -4.5 6.56e-01 1.14e-01f 1\n", - " 73 -1.5225323e+09 2.10e-05 1.04e+02 -3.8 2.70e+09 - 2.49e-05 3.91e-05f 1\n", - " 74 -1.5225391e+09 2.59e-05 1.04e+02 -3.8 2.92e+09 - 2.20e-05 2.97e-05f 1\n", - " 75 -1.5225392e+09 1.88e-05 7.58e+01 -3.8 2.26e+01 -4.2 1.00e+00 2.71e-01f 1\n", - " 76 -1.5225491e+09 3.22e-05 7.58e+01 -3.8 2.32e+09 - 2.76e-05 4.84e-05f 1\n", - " 77 -1.5225525e+09 4.07e-05 7.58e+01 -3.8 1.51e+09 - 2.80e-05 3.82e-05f 1\n", - " 78 -1.5225554e+09 4.81e-05 7.58e+01 -3.8 2.78e+09 - 3.83e-05 3.48e-05f 1\n", - " 79 -1.5225557e+09 4.46e-05 1.67e+02 -3.8 2.16e+02 -5.2 4.23e-01 7.16e-02f 1\n", + " 70 -1.5548209e+09 1.14e-05 8.93e+00 -5.7 1.65e-01 -3.1 7.54e-01 5.25e-01f 1\n", + " 71 -1.5548209e+09 1.93e-05 8.77e+00 -5.7 6.95e+01 - 1.38e-02 4.46e-02f 1\n", + " 72 -1.5548209e+09 1.54e-05 7.72e+00 -5.7 7.65e-01 -4.1 5.75e-01 2.00e-01f 1\n", + " 73 -1.5548209e+09 2.89e-05 7.50e+00 -5.7 3.88e+01 - 2.49e-02 5.32e-02f 1\n", + " 74 -1.5548209e+09 4.62e-05 6.66e+00 -5.7 1.86e+01 - 1.17e-01 7.67e-02f 1\n", + " 75 -1.5548209e+09 7.72e-05 1.30e+01 -5.7 5.24e+00 - 9.58e-01 1.64e-01f 1\n", + " 76 -1.5548209e+09 1.97e-04 5.82e-05 -5.7 4.36e-01 - 1.00e+00 1.00e+00f 1\n", + " 77 -1.5548209e+09 1.66e-07 3.67e-07 -5.7 5.76e-02 -5.5 1.00e+00 1.00e+00h 1\n", + " 78 -1.5548209e+09 2.59e-07 1.76e+01 -7.0 5.80e-01 - 9.95e-01 5.73e-01f 1\n", + " 79 -1.5548209e+09 4.80e-08 8.56e+01 -7.0 2.46e-01 - 6.25e-01 1.00e+00f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80 -1.5225557e+09 2.87e-05 1.18e+02 -3.8 1.05e+01 -3.8 1.00e+00 3.55e-01f 1\n", - " 81 -1.5225700e+09 9.44e-04 1.17e+02 -3.8 4.51e+08 - 5.32e-05 3.82e-04f 1\n", - " 82 -1.5225715e+09 9.50e-04 1.17e+02 -3.8 1.16e+09 - 6.15e-05 2.98e-05f 1\n", - " 83 -1.5225716e+09 7.48e-04 1.20e+02 -3.8 2.21e+02 -4.4 6.64e-01 2.13e-01f 1\n", - " 84 -1.5225717e+09 5.96e-04 3.10e+01 -3.8 1.30e+01 -3.9 1.00e+00 2.03e-01f 1\n", - " 85 -1.5225743e+09 6.27e-04 3.10e+01 -3.8 1.43e+09 - 6.56e-05 7.15e-05f 1\n", - " 86 -1.5225744e+09 4.50e-04 2.05e+01 -3.8 1.45e+01 -4.0 1.00e+00 2.82e-01f 1\n", - " 87 -1.5225745e+09 3.65e-04 5.56e+01 -3.8 4.27e+01 -4.5 1.00e+00 1.89e-01f 1\n", - " 88 -1.5225784e+09 5.06e-04 5.53e+01 -3.8 9.55e+08 - 4.71e-05 1.58e-04f 1\n", - " 89 -1.5225784e+09 3.17e-04 1.44e+01 -3.8 6.03e+00 -3.6 1.00e+00 3.74e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90 -1.5225925e+09 5.60e-03 1.60e+01 -3.8 1.52e+08 - 1.17e-04 1.06e-03f 1\n", - " 91 -1.5225932e+09 5.60e-03 1.51e+01 -3.8 3.08e+08 - 6.76e-04 5.49e-05f 1\n", - " 92 -1.5225932e+09 4.27e-03 3.07e+01 -3.8 1.94e+01 -4.1 1.00e+00 2.38e-01f 1\n", - " 93 -1.5226115e+09 1.06e-02 2.79e+01 -3.8 7.06e+06 - 7.91e-04 2.97e-03f 1\n", - " 94 -1.5226115e+09 9.47e-03 3.93e+01 -3.8 2.14e+01 -4.2 2.80e-01 1.03e-01f 1\n", - " 95 -1.5226129e+09 9.47e-03 3.91e+01 -3.8 4.14e+08 - 6.42e-05 4.10e-04f 1\n", - " 96 -1.5226133e+09 9.47e-03 4.07e+01 -3.8 2.03e+06 - 2.62e-03 2.26e-04f 1\n", - " 97 -1.5226140e+09 9.47e-03 4.05e+01 -3.8 6.75e+08 - 8.63e-06 2.82e-04f 1\n", - " 98 -1.5226207e+09 1.07e-02 4.03e+01 -3.8 4.89e+05 - 5.36e-03 5.39e-03f 1\n", - " 99 -1.5226227e+09 1.11e-02 4.28e+01 -3.8 2.24e+05 - 1.07e-02 4.66e-03f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100 -1.5226242e+09 1.11e-02 4.53e+01 -3.8 1.20e+05 - 1.53e-02 7.93e-03f 1\n", - " 101 -1.5226257e+09 1.09e-02 5.24e+01 -3.8 6.28e+04 - 3.85e-02 1.62e-02f 1\n", - " 102 -1.5226268e+09 1.06e-02 1.97e+02 -3.8 2.57e+04 - 1.70e-01 3.45e-02f 1\n", - " 103 -1.5226276e+09 9.40e-03 2.14e+02 -3.8 5.99e+03 - 1.79e-01 1.24e-01f 1\n", - " 104 -1.5226280e+09 8.70e-03 2.42e+02 -3.8 2.08e+03 - 4.02e-01 2.06e-01f 1\n", - " 105 -1.5226280e+09 5.06e-03 2.71e+02 -3.8 2.26e+01 -4.0 1.00e+00 4.20e-01f 1\n", - " 106 -1.5226282e+09 6.93e-03 9.13e+01 -3.8 9.69e+02 - 8.77e-01 3.12e-01f 1\n", - " 107 -1.5226282e+09 4.67e-05 1.80e-02 -3.8 1.73e+00 -4.1 1.00e+00 1.00e+00f 1\n", - " 108 -1.5226282e+09 1.15e-03 4.41e-03 -3.8 2.62e+01 - 1.00e+00 1.00e+00f 1\n", - " 109 -1.5226282e+09 5.91e-04 1.34e-03 -3.8 1.06e+01 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110 -1.5226283e+09 5.37e-04 1.29e+02 -5.7 1.38e+02 - 8.10e-01 3.76e-01f 1\n", - " 111 -1.5226283e+09 2.31e-04 1.61e+03 -5.7 8.82e-01 -4.2 6.37e-01 5.69e-01f 1\n", - " 112 -1.5226283e+09 1.03e-04 6.24e+02 -5.7 1.20e-01 -2.8 1.00e+00 5.53e-01f 1\n", - " 113 -1.5226283e+09 5.85e-05 3.75e+02 -5.7 3.30e-01 -3.3 1.00e+00 4.33e-01f 1\n", - " 114 -1.5226283e+09 5.80e-05 3.73e+02 -5.7 2.29e+03 - 4.80e-03 9.97e-03f 1\n", - " 115 -1.5226283e+09 5.79e-05 3.63e+02 -5.7 8.38e+02 - 2.95e-02 2.58e-03f 1\n", - " 116 -1.5226283e+09 5.74e-05 3.47e+02 -5.7 4.26e+02 - 4.98e-02 1.10e-02f 1\n", - " 117 -1.5226283e+09 5.70e-05 3.34e+02 -5.7 1.45e+02 - 4.01e-02 1.28e-02f 1\n", - " 118 -1.5226283e+09 5.19e-05 3.08e+02 -5.7 1.35e+00 -4.3 1.87e-01 9.06e-02f 1\n", - " 119 -1.5226283e+09 5.03e-05 2.94e+02 -5.7 1.08e+02 - 4.56e-02 4.42e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 120 -1.5226283e+09 2.78e-05 1.60e+02 -5.7 1.04e+00 -3.5 4.01e-01 4.49e-01f 1\n", - " 121 -1.5226283e+09 2.10e-05 1.25e+02 -5.7 4.95e-01 -4.0 4.03e-01 2.42e-01f 1\n", - " 122 -1.5226283e+09 2.09e-05 1.23e+02 -5.7 4.63e+01 - 1.08e-02 3.09e-02f 1\n", - " 123 -1.5226283e+09 3.10e-05 1.20e+02 -5.7 3.13e+01 - 2.45e-02 3.19e-02f 1\n", - " 124 -1.5226283e+09 4.94e-05 1.09e+02 -5.7 1.99e+01 - 9.48e-02 6.06e-02f 1\n", - " 125 -1.5226283e+09 9.00e-05 5.51e+01 -5.7 7.90e+00 - 1.00e+00 1.54e-01f 1\n", - " 126 -1.5226283e+09 2.64e-04 1.99e-04 -5.7 7.14e-01 - 1.00e+00 1.00e+00f 1\n", - " 127 -1.5226283e+09 1.42e-06 4.93e-04 -5.7 1.01e-01 - 1.00e+00 1.00e+00h 1\n", - " 128 -1.5226283e+09 5.83e-10 4.57e-08 -5.7 2.26e-02 - 1.00e+00 1.00e+00h 1\n", - " 129 -1.5226283e+09 9.23e-08 1.91e+01 -7.0 5.39e-01 - 1.00e+00 5.42e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 130 -1.5226283e+09 4.98e-08 5.95e-06 -7.0 2.43e-01 - 1.00e+00 1.00e+00f 1\n", - " 131 -1.5226283e+09 6.69e-10 4.64e+02 -7.0 1.02e-03 - 1.98e-01 1.00e+00h 1\n", - " 132 -1.5226283e+09 5.59e-10 5.30e-11 -7.0 3.64e-06 - 1.00e+00 1.00e+00h 1\n", + " 80 -1.5548209e+09 5.66e-10 1.16e-09 -7.0 1.04e-03 - 1.00e+00 1.00e+00h 1\n", "\n", - "Number of Iterations....: 132\n", + "Number of Iterations....: 80\n", "\n", " (scaled) (unscaled)\n", - "Objective...............: -2.5544162560830932e+07 -1.5226283238739488e+09\n", - "Dual infeasibility......: 5.3016998059424539e-11 3.1602203712809465e-09\n", - "Constraint violation....: 1.1641532182693481e-10 5.5854076919104045e-10\n", - "Variable bound violation: 6.2899274233096242e-09 6.2899274233096242e-09\n", - "Complementarity.........: 9.0909391369495014e-08 5.4188981093311786e-06\n", - "Overall NLP error.......: 9.0909391369495014e-08 5.4188981093311786e-06\n", + "Objective...............: -2.6084237389827598e+07 -1.5548209326425235e+09\n", + "Dual infeasibility......: 1.1645811194840818e-09 6.9417981260984143e-08\n", + "Constraint violation....: 1.1641532182693481e-10 5.6555737870667144e-10\n", + "Variable bound violation: 6.2716869560133087e-09 6.2716869560133087e-09\n", + "Complementarity.........: 9.1552855412841452e-08 5.4572535095311482e-06\n", + "Overall NLP error.......: 9.1552855412841452e-08 5.4572535095311482e-06\n", "\n", "\n", - "Number of objective function evaluations = 133\n", - "Number of objective gradient evaluations = 133\n", - "Number of equality constraint evaluations = 133\n", - "Number of inequality constraint evaluations = 133\n", - "Number of equality constraint Jacobian evaluations = 133\n", - "Number of inequality constraint Jacobian evaluations = 133\n", - "Number of Lagrangian Hessian evaluations = 132\n", - "Total seconds in IPOPT = 510.923\n", + "Number of objective function evaluations = 86\n", + "Number of objective gradient evaluations = 81\n", + "Number of equality constraint evaluations = 86\n", + "Number of inequality constraint evaluations = 86\n", + "Number of equality constraint Jacobian evaluations = 81\n", + "Number of inequality constraint Jacobian evaluations = 81\n", + "Number of Lagrangian Hessian evaluations = 80\n", + "Total seconds in IPOPT = 256.985\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -3379,10 +3322,10 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212160, 'Number of variables': 211203, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 513.1680381298065}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212160, 'Number of variables': 211203, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 259.56267189979553}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, - "execution_count": 127, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -3426,7 +3369,7 @@ }, { "cell_type": "code", - "execution_count": 128, + "execution_count": 23, "id": "scientific-nudist", "metadata": {}, "outputs": [], @@ -3465,7 +3408,7 @@ }, { "cell_type": "code", - "execution_count": 129, + "execution_count": 24, "id": "disabled-invitation", "metadata": {}, "outputs": [ @@ -3473,9 +3416,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "Optimal PEM capacity : 196.26160215981525 MW\n", - "Optimal tank capacity : 1.873296230838106e-05 kg\n", - "OPtimal turbine capacity: 9.076616170113655e-05 MW\n" + "Optimal PEM capacity : 196.2616021878854 MW\n", + "Optimal tank capacity : 2.066591758867942e-05 kg\n", + "OPtimal turbine capacity: 9.076707516973046e-05 MW\n", + "NPV : 1.5548209326425222 $B\n" ] }, { @@ -3490,18 +3434,22 @@ } ], "source": [ + "import pyomo.environ as pyo\n", + "\n", "# Print Results\n", "print(\"Optimal PEM capacity : \", m.pem_capacity.value * 1e-3, \"MW\")\n", "print(\"Optimal tank capacity : \", m.tank_capacity.value * 2.016e-3, \"kg\")\n", "print(\"OPtimal turbine capacity: \", m.h2_turbine_capacity.value * 1e-6, \"MW\")\n", "\n", + "print(\"NPV :\", pyo.value( m.obj ) * 1e-9, \"$B\")\n", + "\n", "# Using `generate_plots` we plot optimal operating conditions for a specific day\n", "generate_plots(m, d=1, y=2022, set_time=m.set_time, lmp=m.LMP)" ] }, { "cell_type": "code", - "execution_count": 130, + "execution_count": 25, "id": "brutal-sigma", "metadata": {}, "outputs": [ @@ -3534,7 +3482,7 @@ }, { "cell_type": "code", - "execution_count": 131, + "execution_count": 26, "id": "brilliant-prairie", "metadata": {}, "outputs": [], @@ -3560,7 +3508,7 @@ }, { "cell_type": "code", - "execution_count": 132, + "execution_count": 27, "id": "previous-sending", "metadata": {}, "outputs": [], @@ -3596,7 +3544,7 @@ }, { "cell_type": "code", - "execution_count": 133, + "execution_count": 28, "id": "lightweight-prediction", "metadata": {}, "outputs": [], @@ -3631,7 +3579,7 @@ }, { "cell_type": "code", - "execution_count": 134, + "execution_count": 29, "id": "returning-moderator", "metadata": {}, "outputs": [ @@ -3641,62 +3589,62 @@ "text": [ "[ 0.00] Processing input information.\n", "[+ 0.00] Beginning the formulation of the multiperiod problem.\n", - "[+ 217.43] Completed the formulation of the multiperiod problem\n", - "2022-08-23 10:37:04 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-08-23 10:37:05 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:05 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:05 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-08-23 10:37:05 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:05 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-08-23 10:37:05 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:05 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:05 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-08-23 10:37:05 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:05 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:05 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:05 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-08-23 10:37:05 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:05 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-08-23 10:37:06 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:06 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:06 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:06 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-08-23 10:37:06 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:06 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-08-23 10:37:06 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:06 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-08-23 10:37:06 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:06 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:07 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-23 10:37:07 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-08-23 10:37:07 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-08-23 10:37:07 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:07 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-08-23 10:37:07 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:07 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:07 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-08-23 10:37:07 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:07 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:08 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-08-23 10:37:09 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:09 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-23 10:37:09 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-23 10:37:09 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", - "[+ 5.44] Created an instance of the flowsheet and initialized it.\n", - "[+ 26.49] Initialized the entire multiperiod optimization model.\n", - "[+ 0.42] Unfixed the degrees of freedom from each period model.\n" + "[+ 154.66] Completed the formulation of the multiperiod problem\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-08-29 06:40:36 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:36 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-08-29 06:40:36 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:36 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:36 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:39 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-29 06:40:39 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "[+ 4.33] Created an instance of the flowsheet and initialized it.\n", + "[+ 18.59] Initialized the entire multiperiod optimization model.\n", + "[+ 0.38] Unfixed the degrees of freedom from each period model.\n" ] } ], @@ -3722,7 +3670,7 @@ }, { "cell_type": "code", - "execution_count": 135, + "execution_count": 30, "id": "elder-victoria", "metadata": {}, "outputs": [], @@ -3749,7 +3697,7 @@ }, { "cell_type": "code", - "execution_count": 136, + "execution_count": 31, "id": "suburban-radar", "metadata": {}, "outputs": [], @@ -3777,7 +3725,7 @@ }, { "cell_type": "code", - "execution_count": 137, + "execution_count": 32, "id": "liberal-riverside", "metadata": {}, "outputs": [ @@ -3959,7 +3907,7 @@ "Number of equality constraint Jacobian evaluations = 117\n", "Number of inequality constraint Jacobian evaluations = 117\n", "Number of Lagrangian Hessian evaluations = 116\n", - "Total seconds in IPOPT = 436.433\n", + "Total seconds in IPOPT = 366.450\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -3967,10 +3915,10 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212166, 'Number of variables': 211209, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 439.303608417511}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212166, 'Number of variables': 211209, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 368.75286197662354}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, - "execution_count": 137, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -3990,7 +3938,7 @@ }, { "cell_type": "code", - "execution_count": 138, + "execution_count": 33, "id": "civil-celebration", "metadata": {}, "outputs": [ @@ -4013,7 +3961,7 @@ }, { "cell_type": "code", - "execution_count": 139, + "execution_count": 34, "id": "protecting-asthma", "metadata": {}, "outputs": [ From 64540cca397c5183bd74bab097784cd5426504c8 Mon Sep 17 00:00:00 2001 From: annawrobe <89105484+annawrobe@users.noreply.github.com> Date: Fri, 2 Sep 2022 09:36:47 -0600 Subject: [PATCH 06/29] Integration of RAVEN synthetic history generation --- ...riod_design_pricetaker_wTEALwSynhist.ipynb | 4049 +++++++++++++++++ 1 file changed, 4049 insertions(+) create mode 100644 dispatches/multiperiod_design_pricetaker_wTEALwSynhist.ipynb diff --git a/dispatches/multiperiod_design_pricetaker_wTEALwSynhist.ipynb b/dispatches/multiperiod_design_pricetaker_wTEALwSynhist.ipynb new file mode 100644 index 000000000..235fe6daf --- /dev/null +++ b/dispatches/multiperiod_design_pricetaker_wTEALwSynhist.ipynb @@ -0,0 +1,4049 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "naval-employment", + "metadata": {}, + "source": [ + "# Integrated Energy Systems: Nuclear Case Study with TEAL Cashflows\n" + ] + }, + { + "cell_type": "markdown", + "id": "052896d1", + "metadata": {}, + "source": [ + "Before running this notebook, we have to get RAVEN and DISPATCHES to play along together. \n", + "The easiest way, as of 8/19/2022, is to first install RAVEN and all its dependencies into a dedicated conda environment. \n", + "Then install DISPATCHES within that environment. Installation guides for [RAVEN](github.com:idaholab/raven.git) and [DISPATCHES](https://github.com/gmlc-dispatches/dispatches) can be found in their respective Github repositories, but the major steps are summarized below:\n", + "\n", + " ```bash\n", + " # assuming git cloning with SSH key, can substitute HTML cloning\n", + " git clone git@github.com:idaholab/raven.git\n", + " git clone git@github.com:gmlc-dispatches/dispatches.git\n", + "\n", + " cd raven\n", + "\n", + " # if you haven't installed RAVEN yet:\n", + " ./scripts/establish_conda_env.sh --install\n", + " # else, activate the environment\n", + " conda activate raven_libraries\n", + "\n", + " # load raven libraries (if on Windows and using Anaconda Prompt, run 'conda install m2-base' to get sh command)\n", + " sh ./scripts/establish_conda_env.sh --load\n", + "\n", + " cd ../dispatches \n", + "\n", + " # usually got an SSL certificate error, fix is to add github to trusted hosts\n", + " python -m pip install -r requirements-dev.txt --trusted-host=codeload.github.com\n", + "\n", + " ```\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "automated-antigua", + "metadata": {}, + "outputs": [], + "source": [ + "# General python imports\n", + "import json\n", + "\n", + "# Pyomo imports\n", + "from pyomo.environ import (ConcreteModel,\n", + " RangeSet,\n", + " Var,\n", + " NonNegativeReals,\n", + " Constraint,\n", + " Expression,\n", + " Objective,\n", + " maximize,\n", + " units as pyunits)\n", + "\n", + "# IDAES imports\n", + "from idaes.core.solvers import get_solver\n", + "from idaes.core.util.model_statistics import degrees_of_freedom\n", + "\n", + "# Nuclear flowsheet function imports\n", + "from dispatches.case_studies.nuclear_case.nuclear_flowsheet import (build_ne_flowsheet,\n", + " fix_dof_and_initialize)\n", + "\n", + "# Import function for the construction of the multiperiod model\n", + "from dispatches.case_studies.nuclear_case.multiperiod import (\n", + " build_multiperiod_design,\n", + " plot_lmp_and_schedule)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "37efedf5", + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "import os\n", + "import numpy as np\n", + "import cloudpickle as pk\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "\n", + "\n", + "# add romLoader to path\n", + "here = os.path.abspath(os.path.dirname(__file__))\n", + "frameworkPath = \"C:/projects/raven/ravenframework\"\n", + "print(here)\n", + "sys.path.append(os.path.abspath(os.path.join(frameworkPath, '..', 'scripts')))\n", + "import externalROMloader\n", + "\n", + "#create\n", + "targetFile = \"C:/projects/raven/tests/framework/ROM/TimeSeries/ARMA/Interpolated/interpolated.pk\"\n", + "runner = externalROMloader.ravenROMexternal(targetFile, frameworkPath)\n", + "\n", + "#run\n", + "inp = {'scaling': [1]}" + ] + }, + { + "cell_type": "markdown", + "id": "72522d0d", + "metadata": {}, + "source": [ + "### TEAL: Adding TEAL to path and importing Cashflows \n", + "\n", + "Note you have to run this using the *raven_libraries* Python environment for now. Within that environment, you should install *dispatches*" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "e3e331c5", + "metadata": {}, + "outputs": [], + "source": [ + "import os.path as path \n", + "import os, sys\n", + "cwd = os.getcwd()\n", + "proj_dir = path.dirname( path.abspath( path.join(cwd, '../../..') ) )\n", + "TEAL_dir = path.abspath( path.join(proj_dir, 'TEAL') )\n", + "raven_dir = path.abspath( path.join(proj_dir, 'raven') )\n", + "sys.path.append( proj_dir )\n", + "sys.path.append( TEAL_dir )\n", + "sys.path.append( raven_dir )\n", + "sys.path.append( path.abspath( path.join(TEAL_dir, 'src') ) )\n", + "\n", + "from TEAL.src import CashFlows\n", + "from TEAL.src import main as RunCashFlow" + ] + }, + { + "cell_type": "markdown", + "id": "centered-tamil", + "metadata": {}, + "source": [ + "## Simulation of the Flowsheet\n", + "\n", + "Before we formulate the multiperiod optimization problem, we first simulate the nuclear flowsheet and print some results. This helps the reader to familiarize themselves with the names, along with their default units, of a few important variables. The readers are encouraged to go through the `nuclear_flowsheet.py` script. It contains the function `build_ne_flowsheet` which assembles models for all the units in the flowsheet, and connects them via `Arc` objects. It also contains the function `fix_dof_and_initialize` which fixes the degrees of freedom and initializes the entire flowsheet.\n", + "\n", + "The flowsheet has four degrees of freedom viz.,\n", + "\n", + "- Split fraction of electricity to the grid in the power splitter (variable `m.fs.np_power_split.split_fraction[\"np_to_grid\", 0]` in the model). We fix this variable to 0.8.\n", + "- Molar flowrate of hydrogen to the pipeline (variable `m.fs.h2_tank.outlet_to_pipeline.flow_mol[0]`). We fix this variable to 10 mol/s.\n", + "- Molar flowrate of hydrogen to the turbine (variable `m.fs.h2_tank.outlet_to_turbine.flow_mol[0]`). We fix this variable to 10 mol/s.\n", + "- Initial holdup of hydrogen in the tank (variable `m.fs.h2_tank.tank_holdup_previous[0]`). We fix this variable to 0 mol.\n", + "\n", + "These variables are fixed in the `fix_dof_and_initialize` function. In addition to the above three variables, we also fix the variables shown in the table below. We do not refer these variables as degrees of freedom, because they remain fixed at these values in the multiperiod optimization model.\n", + "\n", + "| Name | Variable | Value |\n", + "| :- | :- | :-: |\n", + "| Pressure difference across `h2_turbine`'s compressor | `m.fs.h2_turbine.compressor.deltaP` | 24.01 bar |\n", + "| Isentropic efficiency of `h2_turbine`'s compressor | `m.fs.h2_turbine.compressor.efficiency_isentropic` | 0.86 |\n", + "| Conversion of hydrogen in `h2_turbine`'s reactor | `m.fs.h2_turbine.stoic_reactor.conversion` | 0.99 |\n", + "| Pressure deifference across `h2_turbine`'s turbine | `m.fs.h2_turbine.turbine.deltaP` | -24.01 bar |\n", + "| Isentripic efficiency of `h2_turbine`'s turbine | `m.fs.h2_turbine.turbine.efficiency_isentropic` | 0.89 |\n", + "| Molar flow rate of air to `h2_turbine` | `m.fs.mixer.air_feed.flow_mol[0]` | 10.76 * molar flowrate of hydrogen to turbine |\n", + "| Temperature of air | `m.fs.mixer.air_feed.temperature[0]` | 300 K |\n", + "| Pressure of air | `m.fs.mixer.air_feed_pressure[0]` | 1.01325 bar |\n", + "| Duration of the simulation for `h2_tank` | `m.fs.h2_tank.dt` | 3600 s |\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "annoying-myrtle", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2022-08-29 06:28:07 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-08-29 06:28:07 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:07 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:07 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-08-29 06:28:07 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:07 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-08-29 06:28:07 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:07 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:07 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-08-29 06:28:08 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:08 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:08 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:08 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-08-29 06:28:08 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:08 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-08-29 06:28:08 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:08 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:08 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:08 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:28:12 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-29 06:28:12 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "Degrees of freedom: 0\n", + "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", + "tol=1e-06\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.14.7, running with linear solver MUMPS 5.5.0.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 593\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 204\n", + "\n", + "Total number of variables............................: 215\n", + " variables with only lower bounds: 20\n", + " variables with lower and upper bounds: 180\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 215\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 5.55e+04 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 0.0000000e+00 3.49e-08 2.36e-01 -1.0 9.80e-03 - 9.90e-01 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 1\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 2.3283064365386963e-10 3.4924596548080444e-08\n", + "Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 2.3283064365386963e-10 3.4924596548080444e-08\n", + "\n", + "\n", + "Number of objective function evaluations = 2\n", + "Number of objective gradient evaluations = 2\n", + "Number of equality constraint evaluations = 2\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 2\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 1\n", + "Total seconds in IPOPT = 0.029\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.16513776779174805}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Create a concrete model object\n", + "m = ConcreteModel()\n", + "\n", + "# Build the nuclear flowsheet\n", + "build_ne_flowsheet(m)\n", + "\n", + "# Fix the degrees of freedom and initialize\n", + "fix_dof_and_initialize(m)\n", + "\n", + "# Ensure that the resulting model is a square problem i.e., its degrees of freedom must be 0\n", + "print(\"Degrees of freedom: \", degrees_of_freedom(m))\n", + "assert degrees_of_freedom(m) == 0\n", + "\n", + "# Create a solver object with the default solver (IPOPT)\n", + "solver = get_solver()\n", + "\n", + "# Simulate the entire flowsheet\n", + "solver.solve(m, tee=True)" + ] + }, + { + "cell_type": "markdown", + "id": "average-replacement", + "metadata": {}, + "source": [ + "Verify that IPOPT converges to the optimal solution. Next, we print some results. Note the names of the variables and their default units (we use Pyomo's `units`, imported as `pyunits`, to obtain the units of a variable). Units are needed to correctly define the cash flow expressions later." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "animal-astronomy", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Nuclear plant power production : 1000000.0 kW\n", + "Electricity to grid : 800000.0 kW\n", + "Electricity to PEM : 199999.99999999997 kW\n", + "\n", + "Flowrate of H2 from pem : 505.4811999999999 mol/s\n", + "\n", + "Flowrate of H2 to tank : 505.4811999999999 mol/s\n", + "Flowrate of H2 to pipeline : 10 mol/s\n", + "Flowrate of H2 to turbine : 10 mol/s\n", + "Initial tank holdup : 0 mol\n", + "Tank holdup at the end of 1 hr : 1747732.3199999996 mol\n", + "H2 Turbine's compressor work : 1764604.5955977994 kg*m**2/s**3\n", + "H2 Turbine's turbine work : -2672169.126200441 kg*m**2/s**3\n", + "Net power produced by turbine : 907564.5306026414 kg*m**2/s**3\n" + ] + } + ], + "source": [ + "def get_units(obj):\n", + " return str(pyunits.get_units(obj))\n", + "\n", + "# Print results: power splitter\n", + "print(\"Nuclear plant power production : \", m.fs.np_power_split.electricity[0].value,\n", + " get_units(m.fs.np_power_split.electricity[0]))\n", + "print(\"Electricity to grid : \", m.fs.np_power_split.np_to_grid_port.electricity[0].value,\n", + " get_units(m.fs.np_power_split.np_to_grid_port.electricity[0]))\n", + "print(\"Electricity to PEM : \", m.fs.np_power_split.np_to_pem_port.electricity[0].value,\n", + " get_units(m.fs.np_power_split.np_to_pem_port.electricity[0]))\n", + "print()\n", + "\n", + "# Print results: PEM electrolyzer\n", + "print(\"Flowrate of H2 from pem : \", m.fs.pem.outlet.flow_mol[0].value,\n", + " get_units(m.fs.pem.outlet.flow_mol[0]))\n", + "print()\n", + "\n", + "# Print results: Hydrogen tank\n", + "print(\"Flowrate of H2 to tank : \", m.fs.h2_tank.inlet.flow_mol[0].value,\n", + " get_units(m.fs.h2_tank.inlet.flow_mol[0]))\n", + "print(\"Flowrate of H2 to pipeline : \", m.fs.h2_tank.outlet_to_pipeline.flow_mol[0].value,\n", + " get_units(m.fs.h2_tank.outlet_to_pipeline.flow_mol[0]))\n", + "print(\"Flowrate of H2 to turbine : \", m.fs.h2_tank.outlet_to_turbine.flow_mol[0].value,\n", + " get_units(m.fs.h2_tank.outlet_to_turbine.flow_mol[0]))\n", + "print(\"Initial tank holdup : \", m.fs.h2_tank.tank_holdup_previous[0].value,\n", + " get_units(m.fs.h2_tank.tank_holdup_previous[0]))\n", + "print(\"Tank holdup at the end of 1 hr : \", m.fs.h2_tank.tank_holdup[0].value,\n", + " get_units(m.fs.h2_tank.tank_holdup[0]))\n", + "\n", + "# Print results: Hydrogen Turbine\n", + "print(\"H2 Turbine's compressor work : \", m.fs.h2_turbine.compressor.work_mechanical[0].value,\n", + " get_units(m.fs.h2_turbine.compressor.work_mechanical[0]))\n", + "print(\"H2 Turbine's turbine work : \", m.fs.h2_turbine.turbine.work_mechanical[0].value,\n", + " get_units(m.fs.h2_turbine.turbine.work_mechanical[0]))\n", + "print(\"Net power produced by turbine : \", (- m.fs.h2_turbine.turbine.work_mechanical[0].value\n", + " - m.fs.h2_turbine.compressor.work_mechanical[0].value),\n", + " get_units(m.fs.h2_turbine.compressor.work_mechanical[0]))" + ] + }, + { + "cell_type": "markdown", + "id": "accessory-paris", + "metadata": {}, + "source": [ + "Observe that the power variables in the power splitter model and the PEM electrolyzer model use kW. Whereas, the power variables (mechanical work) use in the hydrogen turbine model use W. This complete the simulation of the flowsheet. Before proceeding further, we delete the object `m` to avoid confusion" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "guilty-appliance", + "metadata": {}, + "outputs": [], + "source": [ + "# Delete the object containing the flowsheet\n", + "del m" + ] + }, + { + "cell_type": "markdown", + "id": "alert-packing", + "metadata": {}, + "source": [ + "## Multiperiod Optimization Model: Deterministic\n", + "\n", + "### LMP Signal\n", + "Our objective is to determine the optimal size of the PEM, tank and turbine maximizing the NPV for a given 'market signal'. Throughout the notebook, by market signal or price signal, we refer to the locational marginal price (LMP) (selling price of electricity, in $/MWh) as a function of time. The LMP depends on several factors such as weather, demand, generator mix of the grid, and so forth. Owing to the uncertain nature of some those factors, it is not possible to predict the exact value of the LMP way into the future. Nevertheless, in this section, we **assume that the LMP signal is accurate** (i.e., there is no uncertainty in the price). Later, we show how the same framework/workflow can be used to easily formulate a stochastic program to handle the uncertainty in the price signal. \n", + "\n", + "Here, we use the LMP data contained in the file `lmp_signal.json`. This dataset is generated by FORCE (link goes here) using the 2019/2020 New York Independent System Operator (NYISO) price data. FORCE divides the 365 days of a year into a specified number of clusters (20, in our case), and generates the LMP signal for each cluster (Note that the LMP signal is the same for all the days of a cluster). The figure below plots the LMP signal for cluster 1 (left) and cluster 8.\n", + "\n", + "![](sample_lmp_plots.png)\n", + "\n", + "As evident from the figure, the price can vary significantly in a day, and from cluster to cluster. Given the variation, we are interested in determining if producing hydrogen, especially during the periods when LMP is low, is attractive or not. \n", + "\n", + "For the demonstration, we do not use the entire dataset in `lmp_signal.json`. Instead, we use the LMP signal only for the years 2022 and 2032. We assume that the plant lifetime is twenty years. We use the 2022 LMP signal for the first ten years (i.e., 2022 - 2031), and the 2032 LMP signal for the next ten years (i.e., 2032 - 2041). If desired, the LMP data for the intermediate years can be easily included in the model with a slight modification to the code." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "involved-skill", + "metadata": {}, + "outputs": [], + "source": [ + "# Load the LMP dataset\n", + "with open(\"lmp_signal.json\") as fp:\n", + " lmp_dataset = json.load(fp)\n", + " \n", + "# Gather the LMP data needed for the deterministic case\n", + "# Notation: lmp_dataset[scenario][year][cluster/day][time/hour]\n", + "lmp_deterministic = {year: {cluster: {hour: lmp_dataset[\"0\"][str(year)][str(cluster)][str(hour)]\n", + " for hour in range(1, 25)} \n", + " for cluster in range(1, 21)}\n", + " for year in [2022, 2032]}\n", + "\n", + "# Size of each cluster/number of days in a year represented by the cluster\n", + "weights_days = {year: {cluster: lmp_dataset[str(0)][str(year)][str(cluster)][\"num_days\"]\n", + " for cluster in range(1, 21)}\n", + " for year in [2022, 2032]}\n" + ] + }, + { + "cell_type": "markdown", + "id": "boxed-pattern", + "metadata": {}, + "source": [ + "Now, we formulate the multi-period price-taker problem to determine the optimal design and operating decisions maximizing the NPV. The optimization problem is of the form\n", + "$$ \\begin{aligned}\n", + "\\max_{D, u_{t, d}} \\quad & \\text{NPV}(D, u_{t, d})\\\\\n", + "& g(u_{t, d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", + "& h(u_{t, d}) \\le 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", + "& f(u_{t-1,d}, u_{t,d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", + "& u_{t,d} \\le D, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}\n", + "\\end{aligned}$$\n", + "\n", + "Here, the sets $\\mathcal{T} = \\{1, \\dots, 24\\}$ and $\\mathcal{C} = \\{1, \\dots, 20\\}$ denote the set of hours in a day and the set of clusters/days in a year, respectively. $D$ denotes the design decisions (or, first-stage variables) viz. size of the PEM electrolyzer (`pem_capacity`), tank (`tank_capacity`) and the turbine (`turbine_capacity`). $u_{t, d}$ denotes the operating decisions (or, second-stage decisions) at time $t$ of day/cluster $d$. $g(u_{t, d}) = 0$ and $h(u_{t,d}) \\le 0$ denote the flowsheet model, $f(u_{t-1,d}, u_{t,d}) = 0$ connects the operating decisions at time $t-1$ and at time $t$ (e.g., tank holdup), and $u_{t,d} \\le D$ ensures that the operating decision values never exceed the design capacity values (e.g., tank holdup at any time instant must not exceed the tank capacity).\n", + "\n", + "First, we create a `ConcreteModel` object, and define sets and parameters" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "driven-allah", + "metadata": {}, + "outputs": [], + "source": [ + "# Create a ConcreteModel object\n", + "m = ConcreteModel()\n", + "\n", + "# Define sets\n", + "m.set_time = RangeSet(24) # twenty fours in a day\n", + "m.set_days = RangeSet(20) # twenty clusters/days per year\n", + "m.set_years = [2022, 2032] # Set of years\n", + "\n", + "# Define parameters\n", + "m.plant_life = 20 # Plant lifetime: 20 years\n", + "m.tax_rate = 0.2 # Corporate tax rate: 20%\n", + "m.discount_rate = 0.08 # Discount rate: 8%\n", + "m.h2_price = 3 # Selling price of hydrogen: $3/kg\n", + "m.h2_demand = 1 # Maximum amount of hydrogen that can be sold: 1 kg/s\n", + "m.LMP = lmp_deterministic # LMP signal\n", + "m.weights_days = weights_days # number of days represented by each cluster" + ] + }, + { + "cell_type": "markdown", + "id": "167b5f29", + "metadata": {}, + "source": [ + "This might be a temporary cell, but checking to see if the amount of years supplied by the LMP data match the desired project length/plant life.\n", + "In the future, project length and plant lifetime should be separate entities. \n", + "Should also figure out multiplicity (least common multiple) of plant lives. " + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "1cf94ff3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "LMP Data less than project life\n" + ] + } + ], + "source": [ + "# checking if number of years provided in data match plant_life\n", + "import numpy as np\n", + "\n", + "# list of available years in LMP data\n", + "years = list( m.LMP.keys() )\n", + "n_years_data = len(years)\n", + "\n", + "# template dictionary full of 0s, same structure as LMP\n", + "zeroDict = {cluster: {hour: 0\n", + " for hour in m.set_time} \n", + " for cluster in m.set_days}\n", + "\n", + "## CHECKING THAT WE HAVE ENOUGH DATA FOR SIM ##\n", + "\n", + "# Case where we have less data than the project life/sim time\n", + "# Here, we assume (as in the default nuclear case demo) that\n", + "# the years 2022-2031 all have the same LMP data, which\n", + "# helps to cut down on variables just for the demonstration\n", + "if n_years_data < m.plant_life:\n", + " print(\"LMP Data less than project life\")\n", + " projLifeRange = np.arange( years[0]-1, # year-1 is the construction year\n", + " years[0] + m.plant_life) # full project time with first year of data as starting point\n", + "\n", + " # initializing empty dicts and lists\n", + " newLMP = {} # going to replace existing LMP dictionary\n", + " newYearsVec = [] # list of years used\n", + " stuckYear = 0 # ugly way of duplicating years\n", + "\n", + " # looping through possible years in lifetime (e.g., 2021 -> 2041)\n", + " for i,y in enumerate(projLifeRange):\n", + " # data not available for given year within project lifetime\n", + " if y not in years:\n", + " if i == 0: # construction year\n", + " newLMP[y] = zeroDict\n", + " newYearsVec.append(0)\n", + " else: # duplicate previous year's values\n", + " newLMP[y] = newLMP[y-1]\n", + " newYearsVec.append(stuckYear)\n", + " # data for current year is available in LMP dict\n", + " else:\n", + " stuckYear = y # update year for duplication (word?)\n", + " newLMP[y] = m.LMP[y] # keep current LMP value\n", + " newYearsVec.append(y) # update current year\n", + " \n", + " # save to model object\n", + " m.LMP = newLMP\n", + " m.yearsFullVec = newYearsVec\n", + "\n", + "elif n_years_data > m.plant_life:\n", + " print(\"LMP Data more than project life, must curtail.\")\n", + " # TODO fill this out\n", + "else:\n", + " print(\"LMP Data matches project life\")\n", + " # TODO fill this out\n", + " # years.insert(0,0)" + ] + }, + { + "cell_type": "markdown", + "id": "august-rings", + "metadata": {}, + "source": [ + "As we saw earlier, functions `build_ne_flowsheet` and `fix_dof_and_initialize` yield an initialized square model of the nuclear flowsheet. For the multi-period optimization problem, we now construct a function that can be used to unfix a few degrees of freedom for optimization. The function below\n", + "\n", + "- Unfixes the split fractions of the power splitter. The optimizer then determines the optimal split fraction of the electricity to the grid, and to the PEM electrolyzer.\n", + "- Unfixes the initial tank holdup. The initial tank holdup is governed by the final tank holdup at the previous hour.\n", + "- Unfixes the molar flow rate of hydrogen to the turbine and to the pipeline.\n", + "- Unfixes the molar flow rate of air to the turbine.\n", + "- Adds a constraint to fix the ratio of molar flow rate of air to molar flowrate of hydrogen (fuel-air ratio).\n", + "- Specifies a small non-zero bounds on a few flow variables to avoid convergence issues." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "senior-multimedia", + "metadata": {}, + "outputs": [], + "source": [ + "def unfix_dof(m, **kwargs):\n", + " \"\"\"\n", + " This function unfixes a few degrees of freedom for optimization\n", + " \"\"\"\n", + " # Set defaults in case options are not passed to the function\n", + " options = kwargs.get(\"options\", {})\n", + " air_h2_ratio = options.get(\"air_h2_ratio\", 10.76)\n", + " \n", + " # Unfix the electricity split in the electrical splitter\n", + " m.fs.np_power_split.split_fraction[\"np_to_grid\", 0].unfix()\n", + "\n", + " # Unfix the holdup_previous and outflow variables\n", + " m.fs.h2_tank.tank_holdup_previous.unfix()\n", + " m.fs.h2_tank.outlet_to_turbine.flow_mol.unfix()\n", + " m.fs.h2_tank.outlet_to_pipeline.flow_mol.unfix()\n", + "\n", + " # Unfix the flowrate of air to the mixer\n", + " m.fs.mixer.air_feed.flow_mol.unfix()\n", + "\n", + " # Add a constraint to maintain the air to hydrogen flow ratio\n", + " m.fs.mixer.air_h2_ratio = Constraint(\n", + " expr=m.fs.mixer.air_feed.flow_mol[0] ==\n", + " air_h2_ratio * m.fs.mixer.hydrogen_feed.flow_mol[0])\n", + " \n", + " # Set bounds on variables. A small non-zero value is set as the lower \n", + " # bound on molar flowrates to avoid convergence issues\n", + " m.fs.pem.outlet.flow_mol[0].setlb(0.001)\n", + "\n", + " m.fs.h2_tank.inlet.flow_mol[0].setlb(0.001)\n", + " m.fs.h2_tank.outlet_to_turbine.flow_mol[0].setlb(0.001)\n", + " m.fs.h2_tank.outlet_to_pipeline.flow_mol[0].setlb(0.001)\n", + "\n", + " m.fs.translator.inlet.flow_mol[0].setlb(0.001)\n", + " m.fs.translator.outlet.flow_mol[0].setlb(0.001)\n", + "\n", + " m.fs.mixer.hydrogen_feed.flow_mol[0].setlb(0.001)" + ] + }, + { + "cell_type": "markdown", + "id": "organized-peoples", + "metadata": {}, + "source": [ + "Next, we use the `build_multiperiod_design` function to build the constraints $g(u_{t,d}) = 0$ and $h(u_{t,d}) \\le 0$ $\\forall \\; t \\in \\mathcal{T}$ and $\\forall \\; d \\in \\mathcal{C}$. This function creates an instance of the flowsheet (using the `build_ne_flowsheet` function) for each time instance, fixes its degrees of freedom and initializes it (using the `fix_dof_and_initialize` function), and unfixes operational degrees of freedom (using the `unfix_dof` function) described above. Since we are dealing with multiple days/clusters and multiple years (2022 and 2032 LMP signals), we set the `multiple_days` and `multiyear` argument to `True` (see below. Note that the default value of these arguments is `False`). \n", + "\n", + "**Note**: The function, by default, looks for `m.set_time`, `m.set_days` and `m.set_years` objects for the set of hours, days/clusters and years, respectively. However, if the sets are created using a different set of names, then they must be passed to the function explicitly. E.g. `build_multiperiod_design(m, ..., set_time=m.set_time_object, set_days=m.set_days_object, set_years=m.set_years_object)`.\n", + "\n", + "**Tip**: Building the multiperiod model can take some time. So, set `verbose=True` to moniter the progress" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "democratic-aurora", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ 0.00] Processing input information.\n", + "[+ 0.00] Beginning the formulation of the multiperiod problem.\n", + "[+ 215.91] Completed the formulation of the multiperiod problem\n", + "2022-08-29 06:31:48 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-08-29 06:31:48 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:48 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:48 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:49 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-08-29 06:31:49 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:49 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-08-29 06:31:50 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:50 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:50 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:51 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "[+ 6.01] Created an instance of the flowsheet and initialized it.\n", + "[+ 27.33] Initialized the entire multiperiod optimization model.\n", + "[+ 0.68] Unfixed the degrees of freedom from each period model.\n" + ] + } + ], + "source": [ + "# Build initialized multiperiod model: Constraints g(u(t,d)) = 0 and h(u(t,d)) <= 0\n", + "build_multiperiod_design(m,\n", + " flowsheet=build_ne_flowsheet,\n", + " initialization=fix_dof_and_initialize,\n", + " unfix_dof=unfix_dof,\n", + " multiple_days=True,\n", + " multiyear=True,\n", + " verbose=False)" + ] + }, + { + "cell_type": "markdown", + "id": "suited-development", + "metadata": {}, + "source": [ + "Next, we define \n", + "\n", + "- Function `build_connecting_constraints` to declare the design decisions and to build the constraints $f(u_{t-1,d}, u_{t,d}) = 0$ and $u_{t,d} \\le D$. \n", + "- Function `append_costs_and_revenue` to build expressions for all the cash flows (electricity revenue, hydrogen revenue, fixed O&M, variable O&M, depreciation, etc.)\n", + "\n", + "Observe that we assume (Line 39 in the function below) that each day begins with an empty tank (i.e., zero holdup). This is one of the limitations of working with representative days/clusters. The excess storage at the end of each day cannot be transferred to the following day. This limitation can be overcome by formulating an optimization problem for an entire year, instead of a few representative days. This, however, increases the problem size substantially.\n", + "\n", + "**Note**: It is not necessary to define the above functions for the deterministic case. Nevertheless, we do so because it will be useful for the stochastic case, as we shall see in the next section." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "optimum-closing", + "metadata": {}, + "outputs": [], + "source": [ + "def build_connecting_constraints(m, set_time, set_days, set_years):\n", + " \n", + " \"\"\"\n", + " This function declares the first-stage variables or design decisions,\n", + " adds constraints that ensure that the operational variables never exceed their\n", + " design values, and adds constraints connecting variables at t - 1 and t\n", + " \"\"\"\n", + "\n", + " # Declare first-stage variables (Design decisions)\n", + " m.pem_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Maximum capacity of the PEM electrolyzer (in kW)\")\n", + " m.tank_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Maximum holdup of the tank (in mol)\")\n", + " m.h2_turbine_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Maximum power output from the turbine (in W)\")\n", + "\n", + " # Ensure that the electricity to the PEM elctrolyzer does not exceed the PEM capacity\n", + " @m.Constraint(set_time, set_days, set_years)\n", + " def pem_capacity_constraint(blk, t, d, y):\n", + " return blk.period[t, d, y].fs.pem.electricity[0] <= m.pem_capacity\n", + "\n", + " # Ensure that the final tank holdup does not exceed the tank capacity \n", + " @m.Constraint(set_time, set_days, set_years)\n", + " def tank_capacity_constraint(blk, t, d, y):\n", + " return blk.period[t, d, y].fs.h2_tank.tank_holdup[0] <= m.tank_capacity\n", + "\n", + " # Ensure that the power generated by the turbine does not exceed the turbine capacity\n", + " @m.Constraint(set_time, set_days, set_years)\n", + " def turbine_capacity_constraint(blk, t, d, y):\n", + " return (\n", + " - blk.period[t, d, y].fs.h2_turbine.turbine.work_mechanical[0]\n", + " - blk.period[t, d, y].fs.h2_turbine.compressor.work_mechanical[0] <=\n", + " m.h2_turbine_capacity\n", + " )\n", + "\n", + " # Connect the initial tank holdup at time t with the final tank holdup at time t - 1\n", + " @m.Constraint(set_time, set_days, set_years)\n", + " def tank_holdup_constraints(blk, t, d, y):\n", + " if t == 1:\n", + " # Each day begins with an empty tank\n", + " return (\n", + " blk.period[t, d, y].fs.h2_tank.tank_holdup_previous[0] == 0\n", + " )\n", + " else:\n", + " # Initial holdup at time t = final holdup at time t - 1\n", + " return (\n", + " blk.period[t, d, y].fs.h2_tank.tank_holdup_previous[0] ==\n", + " blk.period[t - 1, d, y].fs.h2_tank.tank_holdup[0]\n", + " )" + ] + }, + { + "cell_type": "markdown", + "id": "addressed-mount", + "metadata": {}, + "source": [ + "Next, we use the numbers in the table below for constructing the cash flow expressions.\n", + "\n", + "| Unit | CAPEX | Fixed O&M | Variable O&M |\n", + "| :- | :-: | :-: | :-: |\n", + "| PEM Electrolyzer | \\$1630 /kW | \\$47.9 /kW | \\$1.3 /MWh |\n", + "| Hydrogen tank | \\$29 /kWh | 0 | 0 |\n", + "| Hydrogen turbine | \\$947 /kW | \\$7 /kW | \\$4.25 /Mwh|\n", + "\n", + "We refer the reader to the Simulation of the Flowsheet section for the default units of the decision variables. We convert the cost numbers so that the units are consistent with that of the variable." + ] + }, + { + "cell_type": "markdown", + "id": "01055db2", + "metadata": {}, + "source": [ + "### TEAL: Defining component costs/revenues and corresponding IDAES variables \n", + "\n", + "We now add a template dictionary with all the Nuclear Case components. \n", + "Each plant component has nested dictionaries for each desired TEAL cash flow. \n", + "Note that all cash flows are defined as:\n", + " $$C_y = m \\alpha_y \\bigg(\\frac{D_y}{R}\\bigg)^X$$\n", + "The cash flow $C_y$ is indexed by year, but hourly indeces can also be created and summed per year. Other parameters include $\\alpha$, the reference price, $D_y$ the driver for the cash flow (e.g., number of units sold, hours of electricity produced, etc.), $R$ the reference driver corresponding to $\\alpha$ (optional), $X$ the scaling factor, and $m$ an extra multiplier.\n", + "\n", + "\n", + "The cash flow dictionaries below must have:\n", + "1. an **Expression**: a list of strings of the Pyomo variable name used as the cash flow driver ($D_y$)\n", + "2. a **Value**: the cost per unit ($\\alpha$)\n", + "3. a **Multiplier**: an extra multiplier to distinguish between +/- cash flows ($m$)\n", + "\n", + "Each component must also have a Lifetime but all currently set to be the same. " + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "cbf4c9c2", + "metadata": {}, + "outputs": [], + "source": [ + "components={\n", + " # Electrolyzer: negative Cash flows\n", + " \"pem\":{ \n", + " \"Lifetime\": 20,\n", + " \"Capex\":{\n", + " \"Expressions\": ['pem_capacity'],\n", + " \"Value\": 1630, # $/kW\n", + " \"Multiplier\": [-1],\n", + " },\n", + " \"FixedOM\":{\n", + " \"Expressions\": ['pem_capacity'],\n", + " \"Value\": 47.9, # $/kW\n", + " \"Multiplier\": [-1],\n", + " },\n", + " \"Hourly\":{\n", + " \"Expressions\": ['fs.pem.electricity'],\n", + " \"Value\": 1.3e-3, # $/MWh -> $/kWh\n", + " \"Multiplier\": [-1],\n", + " },\n", + " },\n", + " # Hydrogen Tank: negative Cash flows\n", + " \"h2tank\":{\n", + " \"Lifetime\": 20,\n", + " \"Capex\":{\n", + " \"Expressions\": ['tank_capacity'],\n", + " \"Value\": 1.946851199, # $29/kWh * 33.3 kWh/kg * 2.016e-3 kg/mol\n", + " \"Multiplier\": [-1],\n", + " },\n", + " },\n", + " # Hydrogen Turbine: negative Cash flows\n", + " \"h2turbine\":{ \n", + " \"Lifetime\": 20,\n", + " \"Capex\":{\n", + " \"Expressions\": ['h2_turbine_capacity'],\n", + " \"Value\": 0.947, # $/kW -> $/W\n", + " \"Multiplier\": [-1],\n", + " },\n", + " \"FixedOM\":{\n", + " \"Expressions\": ['h2_turbine_capacity'],\n", + " \"Value\": 0.007, # $/kW -> $/W\n", + " \"Multiplier\": [-1],\n", + " },\n", + " \"Hourly\":{\n", + " \"Expressions\": ['fs.h2_turbine.turbine.work_mechanical',\n", + " 'fs.h2_turbine.compressor.work_mechanical'],\n", + " \"Value\": 4.25e-6, # $/MWh -> $/Wh\n", + " \"Multiplier\": [1, 1], # these values come out with correct sign in expression\n", + " },\n", + " },\n", + " # Electricity Market: positive Cash flows\n", + " \"electricity_market\":{\n", + " \"Lifetime\": 20,\n", + " \"Hourly\":{\n", + " \"Expressions\": ['fs.np_power_split.np_to_grid_port.electricity',\n", + " 'fs.h2_turbine.turbine.work_mechanical',\n", + " 'fs.h2_turbine.compressor.work_mechanical'],\n", + " \"Value\": [], # this is LMP in $/MWh, should be path str to ROM\n", + " \"Multiplier\": [1e-3, -1e-6, -1e-6], # converting to $/kWh and $/Wh\n", + " },\n", + " },\n", + " # Hydrogen Market: positive Cash flows\n", + " \"h2_market\":{\n", + " \"Lifetime\": 20,\n", + " \"Hourly\":{\n", + " \"Expressions\": ['fs.h2_tank.outlet_to_pipeline.flow_mol'], # this is in mol/s\n", + " \"Value\": 3.0, # this is $/kg\n", + " \"Multiplier\": [7.2576] # convert from $/kg -> $/mol and also converting mol/s to mol/hr\n", + " },\n", + " },\n", + "}" + ] + }, + { + "cell_type": "markdown", + "id": "499296f9", + "metadata": {}, + "source": [ + "TEAL: Next, we should initialize global Cash flow attributes within TEAL.\n", + "\n", + "This includes passing discount rates, plant life, etc. from the notebook to an object of TEAL \n", + "global parameters. " + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "418b46b4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['pem|Lifetime', 'pem|Capex', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Lifetime', 'h2tank|Capex', 'h2turbine|Lifetime', 'h2turbine|Capex', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Lifetime', 'electricity_market|Hourly', 'h2_market|Lifetime', 'h2_market|Hourly']\n" + ] + } + ], + "source": [ + "import numpy as np\n", + "import operator\n", + "\n", + "# *** HELPER FUNCTIONS / repurposed from TEAL/tests/PyomoTest.py ***\n", + "def build_econ_settings(cfs, life=5, dr=0.1, tax=0.21, infl=0.02184):\n", + " \"\"\"\n", + " Constructs global settings for econ run\n", + " @ In, cfs, CashFlow, cash flow components\n", + " @ In, life, float, life time of the years to evaluate\n", + " @ In, dr, float, discount rate\n", + " @ In, tax, float, the amount of tax ratio to apply\n", + " @ In, infl, float, the amount of inflation ratio to apply\n", + " @ Out, settings, CashFlow.GlobalSettings, settings\n", + " \"\"\"\n", + " active = []\n", + " for comp_name, cf_list in cfs.items():\n", + " for cf in cf_list:\n", + " active.append(f'{comp_name}|{cf}')\n", + " print(active)\n", + " params = {'DiscountRate': dr,\n", + " 'tax': tax,\n", + " 'inflation': infl,\n", + " 'ProjectTime': life,\n", + " 'Indicator': {'name': ['NPV'], # TODO: check IRR, PI\n", + " 'active': active}\n", + " }\n", + " settings = CashFlows.GlobalSettings()\n", + " settings.setParams(params)\n", + " settings._verbosity = 0\n", + " return settings\n", + "\n", + "\n", + "# using full plant life = 20 yrs\n", + "# LMP signal only uses 2 years... need to resolve when creating recurring cash flows\n", + "tealSettings = build_econ_settings(components,\n", + " life=m.plant_life,\n", + " dr=m.discount_rate,\n", + " tax=m.tax_rate)" + ] + }, + { + "cell_type": "markdown", + "id": "f93fefce", + "metadata": {}, + "source": [ + "TEAL: More helper methods distinguish between creating Capex, and recurring (hourly vs yearly) TEAL cash flows." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "0b30e827", + "metadata": {}, + "outputs": [], + "source": [ + "def createCapex(comp, alpha, driver, life):\n", + " \"\"\"\n", + " Constructs the parameters for capital expenditures\n", + " @ In, comp, TEAL.src.CashFlows.Component, main structure to add component cash flows\n", + " @ In, alpha, float, price\n", + " @ In, driver, pyomo.core.base.var.ScalarVar, quantity sold\n", + " @ Out, cf, TEAL.src.CashFlows.Component, cashflow sale for each capital expenditures\n", + " \"\"\"\n", + " # extract alpha, driver as just one value\n", + " cf = CashFlows.Capex()\n", + " cf.name = 'Cap'\n", + " # life = comp._lifetime\n", + " cf.initParams(life)\n", + " cfParams = {'name': 'Cap',\n", + " 'alpha': alpha,\n", + " 'driver': driver,\n", + " 'reference': 1.0,\n", + " 'X': 1.0,\n", + " 'depreciate': 1,\n", + " 'mult_target': None,\n", + " 'inflation': False,\n", + " }\n", + " cf.setParams(cfParams)\n", + " return cf\n", + "\n", + "\n", + "def createRecurringYearly(comp, alpha, driver, lifeVector):\n", + " \"\"\"\n", + " Constructs the parameters for capital expenditures\n", + " @ In, comp, TEAL.src.CashFlows.Component, main structure to add component cash flows\n", + " @ In, alpha, float, yearly price to populate\n", + " @ In, driver, pyomo.core.base.var.ScalarVar, quantity sold to populate\n", + " @ Out, cf, TEAL.src.CashFlows.Component, cashflow sale for the recurring yearly\n", + " \"\"\"\n", + " cf = CashFlows.Recurring()\n", + " cfParams = {'name': 'FixedOM',\n", + " 'X': 1,\n", + " 'mult_target': None,\n", + " 'inflation': False}\n", + " cf.setParams(cfParams)\n", + "\n", + " # convert to binary mask, includes a zero for year 0 (construction)\n", + " projYears = np.array([y>1 for y in lifeVector], dtype=int)\n", + " projYears = projYears.astype(object)\n", + "\n", + " # 0 for first year (build year) -> TODO couldn't this be automatic?\n", + " alphas = projYears * alpha\n", + " drivers = projYears * driver\n", + "\n", + " # construct annual summary cashflows\n", + " cf.computeYearlyCashflow(alphas, drivers)\n", + " return cf\n", + "\n", + "\n", + "def createRecurringHourly(comp, alpha, driver, projLife):\n", + " \"\"\"\n", + " Constructs recurring cashflow with one value per hour\n", + " @ In, dfSet, tuple, includes pandas.Dataframe, dict of inputs, and pyomo concrete model loaded\n", + " sto run\n", + " @ In, comp, CashFlow.Component, component this cf will belong to\n", + " @ In, driver, string, variable name in df to take driver from\n", + " @ In, alpha, string, variable name in df to take alpha from\n", + " @ Out, comps, dict, dict mapping names to CashFlow component objects\n", + " \"\"\"\n", + " projLife += 1\n", + " print('DEBUGG cRH life:', comp.name, projLife)\n", + " cf = CashFlows.Recurring()\n", + " cfParams = {'name': 'Hourly',\n", + " 'X': 1,\n", + " 'mult_target': None,\n", + " 'inflation': False}\n", + " cf.setParams(cfParams)\n", + " cf.initParams(projLife, pyomoVar=True)\n", + " for year in range(projLife):\n", + " if isinstance(alpha, float):\n", + " cf.computeIntrayearCashflow(year, alpha, driver[year, :])\n", + " else:\n", + " cf.computeIntrayearCashflow(year, alpha[year, :], driver[year, :])\n", + " return cf" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "2df7b4f5", + "metadata": {}, + "outputs": [], + "source": [ + "def getCapexVarFromModel(comp, cfDict, mdl):\n", + " alpha = cfDict['Value']\n", + " mults = cfDict['Multiplier']\n", + " exprs = cfDict['Expressions']\n", + " assert( len(mults)==len(exprs) ) # NOTE: Multiplier same length as Driver\n", + "\n", + " pyomoExpr = [operator.attrgetter(exprs[i])(mdl) for i in range(len(exprs))]\n", + " driver = [m*pexp for m, pexp in zip(mults, pyomoExpr)]\n", + " driver = driver[0]\n", + " return alpha, driver\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "463cfe9b", + "metadata": {}, + "outputs": [], + "source": [ + "def getDispatchVarFromModel(comp, cfDict, mdl):\n", + " alpha = cfDict['Value']\n", + " mults = cfDict['Multiplier']\n", + " exprs = cfDict['Expressions']\n", + " assert( len(mults)==len(exprs) ) # NOTE: Multiplier same length as Driver\n", + "\n", + " # time indeces for HERON/TEAL\n", + " n_hours = len(mdl.set_time)\n", + " n_days = len(mdl.set_days)\n", + " n_years = len(mdl.set_years)\n", + " n_projLife = mdl.plant_life + 1\n", + "\n", + " yearsMaskArray = mdl.yearsFullVec # looks like [0, 2022, 2022, 2022, 2022, ... 2032, ... ]\n", + " \n", + " n_hours_per_year = n_hours * n_days # sometimes number of days refers to clusters < 365\n", + "\n", + " dispatch_array = np.zeros((n_projLife, n_hours_per_year), dtype=object)\n", + "\n", + " indeces = np.array([tuple(i) for i in mdl.period_index], dtype=\"i,i,i\")\n", + " time_shape = (n_years, n_hours_per_year) # reshaping the tuples array to match HERON dispatch\n", + " indeces = indeces.reshape(time_shape)\n", + "\n", + " # currently, taking this to mean that we are using the LMP signal... \n", + " # TODO: needs to be more general here\n", + " if alpha == []:\n", + " signal = mdl.LMP\n", + "\n", + " # # plus 1 to year term to allow for 0 recurring costs during build year\n", + " # alpha = np.zeros([n_projLife, n_hours_per_year])\n", + " # it necessary to have alpha be [year, clusterhour] instead of [year, cluster, hour]\n", + " # clusterhour loops through hours first, then cluster\n", + " alpha = [[signal[y][d][h] \\\n", + " for d in mdl.set_days\n", + " for h in mdl.set_time] # order here matches *indeces*\n", + " for y in mdl.LMP.keys()] #shape here is [year, hour]\n", + " # # first column of year axis is 0 for project year 0\n", + " alpha = np.array(alpha)\n", + " # alpha[1:,:] = realized_alpha\n", + "\n", + " # TODO: check that all periods and LMPs match up...\n", + " pcount = -1\n", + " for p, pyear in enumerate(yearsMaskArray):\n", + " if pyear == 0:\n", + " continue\n", + "\n", + " if pyear > yearsMaskArray[p-1]:\n", + " pcount +=1\n", + "\n", + " for time in range(n_hours_per_year):\n", + " ind = tuple(indeces[pcount,time])\n", + " # looping through all DISPATCHES variables pertaining to this specific dispatch\n", + " # e.g., turbine costs due to work done by turbine + compressor, separate variables\n", + " dispatch_driver = 0\n", + " for ds, dStr in enumerate(exprs):\n", + " dispatch_driver += operator.attrgetter(dStr)(mdl.period[ind])[0] * mults[ds]\n", + "\n", + " # getting weights for each day/cluster\n", + " dy, yr = ind[1:]\n", + " weight = mdl.weights_days[yr][dy] # extracting weight for year + day\n", + "\n", + " # storing individual Pyomo dispatch\n", + " dispatch_array[p, time] = dispatch_driver * weight\n", + "\n", + " return alpha, dispatch_array\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "e9157024", + "metadata": {}, + "outputs": [], + "source": [ + "def buildTealComponent(name, comp, mdl):\n", + " life = comp['Lifetime']\n", + " projLife = len(mdl.set_years) + 1\n", + " tealComp = CashFlows.Component()\n", + " tealComp.setParams({'name': name, \n", + " 'Life_time': comp['Lifetime']})\n", + " cashFlows = []\n", + "\n", + " ## check years vs projLife\n", + "\n", + " for cfName, cfDict in comp.items():\n", + " if cfName == 'Capex':\n", + " alpha, driver = getCapexVarFromModel(comp, cfDict, mdl)\n", + " capex = createCapex(tealComp, alpha, driver, m.plant_life)\n", + " cashFlows.append(capex)\n", + "\n", + " capex.setAmortization('MACRS', 15)\n", + " amorts = tealComp._createDepreciation(capex)\n", + " cashFlows.extend(amorts)\n", + " \n", + " elif cfName == 'FixedOM':\n", + " alpha, driver = getCapexVarFromModel(comp, cfDict, mdl)\n", + " fixedOM = createRecurringYearly(tealComp, alpha, driver, mdl.yearsFullVec)\n", + " cashFlows.append(fixedOM)\n", + " \n", + " elif cfName == 'Hourly':\n", + " alpha, driver = getDispatchVarFromModel(comp, cfDict, mdl)\n", + " hourly = createRecurringHourly(tealComp, alpha, driver, m.plant_life)\n", + " cashFlows.append(hourly)\n", + " \n", + "\n", + " tealComp.addCashflows(cashFlows)\n", + " return tealComp\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "qualified-bargain", + "metadata": {}, + "outputs": [], + "source": [ + "def append_costs_and_revenue(m, ps, LMP):\n", + " \"\"\"\n", + " ps: Object containing information on sets and parameters\n", + " LMP: Dictionary containing the LMP data\n", + " \"\"\"\n", + "\n", + " set_time = ps.set_time # Set of hours\n", + " set_days = ps.set_days # Set of days/clusters\n", + " set_years = ps.set_years # Set of years\n", + " weights_days = ps.weights_days # Weights associated with each cluster\n", + "\n", + " h2_sp = ps.h2_price # Selling price of hydrogen\n", + " plant_life = ps.plant_life # Plant lifetime\n", + " tax_rate = ps.tax_rate # Corporate tax rate\n", + " discount_rate = ps.discount_rate # Discount rate\n", + " \n", + " years_vec = [y - set_years[0] + 1 for y in set_years]\n", + " years_vec.append(plant_life + 1)\n", + " weights_years = {y: sum(1 / (1 + discount_rate) ** i\n", + " for i in range(years_vec[j], years_vec[j + 1]))\n", + " for j, y in enumerate(set_years)}\n", + "\n", + " # PEM CAPEX: $1630/kWh and pem_capacity is in kW,\n", + " # Tank CAPEX: $29/kWh, the LHV of hydrogen is 33.3 kWh/kg,\n", + " # the molecular mass of hydrogen is 2.016e-3 kg/mol and\n", + " # tank_capacity is in moles \n", + " # Turbine CAPEX: $947/kWh and turbine_capacity is in W\n", + " m.capex = Expression(\n", + " expr=(1630 * m.pem_capacity +\n", + " (29 * 33.3 * 2.016e-3) * m.tank_capacity +\n", + " (947 / 1000) * m.h2_turbine_capacity),\n", + " doc=\"Total capital cost (in USD)\"\n", + " )\n", + "\n", + " # Fixed O&M of PEM: $47.9/kW\n", + " # Fixed O&M of turbine: $7/kW\n", + " @m.Expression(set_years,\n", + " doc=\"Fixed O&M cost per year (in USD)\")\n", + " def fixed_om_cost(blk, y):\n", + " return (\n", + " 47.9 * m.pem_capacity + 7e-3 * m.h2_turbine_capacity\n", + " )\n", + "\n", + " # Variable O&M: PEM: $1.3/MWh and turbine: $4.25/MWh\n", + " @m.Expression(set_years,\n", + " doc=\"Total variable O&M cost per year (in USD)\")\n", + " def variable_om_cost(blk, y):\n", + " return (\n", + " (1.3 * 1e-3) * sum(weights_days[y][d] * blk.period[t, d, y].fs.pem.electricity[0]\n", + " for t in set_time for d in set_days) +\n", + " (4.25 * 1e-6) * sum(weights_days[y][d] * (\n", + " - blk.period[t, d, y].fs.h2_turbine.turbine.work_mechanical[0]\n", + " - blk.period[t, d, y].fs.h2_turbine.compressor.work_mechanical[0])\n", + " for t in set_time for d in set_days)\n", + " )\n", + "\n", + " @m.Expression(set_years,\n", + " doc=\"Revenue generated by selling electricity per year (in USD)\")\n", + " def electricity_revenue(blk, y):\n", + " return (\n", + " sum(weights_days[y][d] * LMP[y][d][t] *\n", + " (blk.period[t, d, y].fs.np_power_split.np_to_grid_port.electricity[0] * 1e-3 -\n", + " blk.period[t, d, y].fs.h2_turbine.turbine.work_mechanical[0] * 1e-6 -\n", + " blk.period[t, d, y].fs.h2_turbine.compressor.work_mechanical[0] * 1e-6)\n", + " for t in set_time for d in set_days)\n", + " )\n", + "\n", + " @m.Expression(set_years,\n", + " doc=\"Revenue generated by selling hydrogen per year (in USD)\")\n", + " def h2_revenue(blk, y):\n", + " return (\n", + " h2_sp * 2.016e-3 * 3600 *\n", + " sum(weights_days[y][d] *\n", + " blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0]\n", + " for t in set_time for d in set_days)\n", + " )\n", + "\n", + " @m.Expression(set_years,\n", + " doc=\"Depreciation value per year (in USD)\")\n", + " def depreciation(blk, y):\n", + " return (\n", + " blk.capex / plant_life\n", + " )\n", + "\n", + " @m.Expression(set_years,\n", + " doc=\"Net profit per year (in USD)\")\n", + " def net_profit(blk, y):\n", + " return (\n", + " blk.depreciation[y] + (1 - tax_rate) * (+ blk.h2_revenue[y]\n", + " + blk.electricity_revenue[y]\n", + " - blk.fixed_om_cost[y]\n", + " - blk.variable_om_cost[y]\n", + " - blk.depreciation[y])\n", + " )\n", + "\n", + " m.npv = Expression(\n", + " expr=sum(weights_years[y] * m.net_profit[y] for y in set_years) - m.capex,\n", + " doc=\"Net present value (in USD)\"\n", + " )" + ] + }, + { + "cell_type": "markdown", + "id": "banner-native", + "metadata": {}, + "source": [ + "We now build the remaining constraints and the objective function by calling `build_connecting_constraints` and `append_cost_and_revenue` functions, and solve the optimization problem." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "republican-diagnosis", + "metadata": {}, + "outputs": [], + "source": [ + "# Build the connecting constraints\n", + "build_connecting_constraints(m, \n", + " set_time=m.set_time, \n", + " set_days=m.set_days,\n", + " set_years=m.set_years)\n", + "\n", + "# Hydrogen demand constraint. divide the RHS by the molecular mass to convert kg/s to mol/s\n", + "@m.Constraint(m.set_time, m.set_days, m.set_years)\n", + "def hydrogen_demand_constraint(blk, t, d, y):\n", + " return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / 2.016e-3\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "c5844dcd", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", + " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", + " 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", + " 0. 0. 0.]\n", + "DEBUGG cRH life: pem 21\n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", + " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", + " 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", + " 0. 0. 0.]\n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", + " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", + " 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", + " 0. 0. 0.]\n", + "DEBUGG cRH life: h2turbine 21\n", + "DEBUGG cRH life: electricity_market 21\n", + "DEBUGG cRH life: h2_market 21\n", + "CashFlow INFO (run): Starting CashFlow Run ...\n", + "CashFlow INFO (run): ... Checking if all drivers present ...\n", + "CashFlow INFO (checkDrivers): ... creating evaluation sequence ...\n", + "CashFlow INFO (checkDrivers): ... evaluation sequence: ['pem|Cap', 'pem|pem_amortize_Cap', 'pem|pem_depreciate_Cap', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Cap', 'h2tank|h2tank_amortize_Cap', 'h2tank|h2tank_depreciate_Cap', 'h2turbine|Cap', 'h2turbine|h2turbine_amortize_Cap', 'h2turbine|h2turbine_depreciate_Cap', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Hourly', 'h2_market|Hourly']\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2tank \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2tank \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2tank \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: electricity_market \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2_market \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Project Lifetime Cashflow Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): ... project length: 21 years\n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"pem\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_depreciate_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"FixedOM\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2tank\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_depreciate_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2turbine\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow 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Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"FixedOM\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", 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Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"electricity_market\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2_market\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2_market\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Economic Indicator Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (FCFF): FCFF yearly (not discounted):\n", + "CashFlow INFO (FCFF): year, FCFF\n", + "CashFlow INFO (FCFF): 0: \n", + "CashFlow INFO (FCFF): 1: \n", + "CashFlow INFO (FCFF): 2: \n", + "CashFlow INFO (FCFF): 3: \n", + "CashFlow INFO (FCFF): 4: \n", + "CashFlow INFO (FCFF): 5: \n", + "CashFlow INFO (FCFF): 6: \n", + "CashFlow INFO (FCFF): 7: \n", + "CashFlow INFO (FCFF): 8: \n", + "CashFlow INFO (FCFF): 9: \n", + "CashFlow INFO (FCFF): 10: \n", + "CashFlow INFO (FCFF): 11: \n", + "CashFlow INFO (FCFF): 12: \n", + "CashFlow INFO (FCFF): 13: \n", + "CashFlow INFO (FCFF): 14: \n", + "CashFlow INFO (FCFF): 15: \n", + "CashFlow INFO (FCFF): 16: \n", + "CashFlow INFO (FCFF): 17: \n", + "CashFlow INFO (FCFF): 18: \n", + "CashFlow INFO (FCFF): 19: \n", + "CashFlow INFO (FCFF): 20: \n", + "CashFlow INFO (NPV): ... NPV: \n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\sotogj\\projects\\TEAL\\src\\main.py:418: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " projCf[nonBuildMask] += lifeCf[relativeOperation[relativeOperation!=0]] * taxMult * np.power(inflRate, -1*years[nonBuildMask])\n" + ] + } + ], + "source": [ + "# # Append cash flow expressions\n", + "# append_costs_and_revenue(m,\n", + "# ps=m,\n", + "# LMP=m.LMP)\n", + "#=================================================\n", + "tealComponentList = []\n", + "for name, comp in components.items():\n", + " tealComp = buildTealComponent(name, comp, m)\n", + " tealComponentList.append(tealComp)\n", + "\n", + "metrics = RunCashFlow.run(tealSettings, tealComponentList, {}, pyomoVar=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "71991e45", + "metadata": {}, + "outputs": [], + "source": [ + "# print(m.npv.expr)\n", + "with open(\"TEAL_output.txt\", \"w\") as text_file:\n", + " # text_file.write(str(m.npv.expr))\n", + " text_file.write(str(metrics['NPV']))" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "d7355a37", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CashFlow INFO (run): Starting CashFlow Run ...\n", + "CashFlow INFO (run): ... Checking if all drivers present ...\n", + "CashFlow INFO (checkDrivers): ... creating evaluation sequence ...\n", + "CashFlow INFO (checkDrivers): ... evaluation sequence: ['pem|Cap', 'pem|pem_amortize_Cap', 'pem|pem_depreciate_Cap', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Cap', 'h2tank|h2tank_amortize_Cap', 'h2tank|h2tank_depreciate_Cap', 'h2turbine|Cap', 'h2turbine|h2turbine_amortize_Cap', 'h2turbine|h2turbine_depreciate_Cap', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Hourly', 'h2_market|Hourly']\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2tank \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2tank \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2tank \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: electricity_market \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2_market \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Project Lifetime Cashflow Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): ... project length: 21 years\n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"pem\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): 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comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"FixedOM\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + 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rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: 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comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow 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"CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"FixedOM\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", 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Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"electricity_market\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2_market\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2_market\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow 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FCFF\n", + "CashFlow INFO (FCFF): 0: \n", + "CashFlow INFO (FCFF): 1: \n", + "CashFlow INFO (FCFF): 2: \n", + "CashFlow INFO (FCFF): 3: \n", + "CashFlow INFO (FCFF): 4: \n", + "CashFlow INFO (FCFF): 5: \n", + "CashFlow INFO (FCFF): 6: \n", + "CashFlow INFO (FCFF): 7: \n", + "CashFlow INFO (FCFF): 8: \n", + "CashFlow INFO (FCFF): 9: \n", + "CashFlow INFO (FCFF): 10: \n", + "CashFlow INFO (FCFF): 11: \n", + "CashFlow INFO (FCFF): 12: \n", + "CashFlow INFO (FCFF): 13: \n", + "CashFlow INFO (FCFF): 14: \n", + "CashFlow INFO (FCFF): 15: \n", + "CashFlow INFO (FCFF): 16: \n", + "CashFlow INFO (FCFF): 17: \n", + "CashFlow INFO (FCFF): 18: \n", + "CashFlow INFO (FCFF): 19: \n", + "CashFlow INFO (FCFF): 20: \n", + "CashFlow INFO (NPV): ... NPV: \n", + "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", + "tol=1e-06\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.14.7, running with linear solver MUMPS 5.5.0.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 580760\n", + "Number of nonzeros in inequality constraint Jacobian.: 7680\n", + "Number of nonzeros in Lagrangian Hessian.............: 195840\n", + "\n", + "Total number of variables............................: 211203\n", + " variables with only lower bounds: 20163\n", + " variables with lower and upper bounds: 176640\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 208320\n", + "Total number of inequality constraints...............: 3840\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 3840\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -1.1949854e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -1.4615999e+09 1.91e+05 2.08e+04 -1.0 2.80e+06 - 8.11e-04 8.91e-01f 1\n", + " 2 -1.4971840e+09 7.77e+03 1.27e+04 -1.0 5.00e+05 - 1.82e-03 9.90e-01f 1\n", + " 3 -1.4976246e+09 2.28e+02 6.53e+03 -1.0 9.98e+03 - 2.59e-01 9.71e-01h 1\n", + " 4 -1.4976368e+09 3.55e+01 2.38e+05 -1.0 7.90e+01 -4.0 4.37e-02 8.22e-01h 1\n", + " 5 -1.4976366e+09 4.60e+01 3.57e+05 -1.0 3.46e+03 - 2.43e-03 9.75e-02f 1\n", + " 6 -1.4976412e+09 5.18e+01 9.16e+05 -1.0 1.89e+03 - 4.39e-01 1.00e+00f 1\n", + " 7 -1.4976420e+09 4.52e+01 6.58e+06 -1.0 3.71e+02 -4.5 9.22e-01 1.25e-01f 4\n", + " 8 -1.4976553e+09 1.67e+01 3.59e+06 -1.0 1.42e+03 -5.0 4.40e-01 4.53e-01f 2\n", + " 9 -1.4977569e+09 2.01e+00 3.87e+05 -1.0 8.25e+02 -5.4 4.00e-02 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -1.4979926e+09 1.22e+01 3.49e+05 -1.0 2.36e+03 -5.9 1.00e-01 1.00e+00f 1\n", + " 11 -1.4987457e+09 3.13e+02 3.17e+05 -1.0 7.13e+03 - 9.13e-02 1.00e+00f 1\n", + " 12 -1.4993552e+09 7.13e+00 2.47e+05 -1.0 4.50e+03 -6.4 2.19e-01 1.00e+00f 1\n", + " 13 -1.5014293e+09 3.18e+00 2.21e+05 -1.0 1.41e+04 - 1.09e-01 1.00e+00f 1\n", + " 14 -1.5034098e+09 8.92e-02 1.72e+05 -1.0 1.02e+04 -6.9 2.22e-01 1.00e+00f 1\n", + " 15 -1.5114236e+09 2.36e-01 1.55e+05 -1.0 3.84e+04 - 9.59e-02 1.00e+00f 1\n", + " 16 -1.5312970e+09 2.62e-01 1.36e+05 -1.0 8.03e+04 - 1.21e-01 1.00e+00f 1\n", + " 17 -1.5541824e+09 1.38e-01 1.22e+05 -1.0 2.04e+05 - 1.04e-01 4.21e-01f 1\n", + " 18 -1.5544114e+09 1.37e-01 1.02e+05 -1.0 1.78e+05 - 1.63e-01 4.96e-03f 1\n", + " 19 -1.5544217e+09 1.28e-01 2.27e+04 -1.0 2.81e+04 - 7.78e-01 6.77e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 -1.5545105e+09 3.93e-02 1.79e+04 -1.0 7.49e+04 - 2.10e-01 4.91e-01f 1\n", + " 21 -1.5545340e+09 4.09e-01 1.61e+04 -1.0 6.34e+04 - 1.03e-01 1.88e-01f 1\n", + " 22 -1.5545517e+09 4.25e-01 1.39e+04 -1.0 6.01e+04 - 1.38e-01 1.62e-01f 1\n", + " 23 -1.5545792e+09 4.51e-01 1.16e+04 -1.0 5.87e+04 - 1.67e-01 2.76e-01f 1\n", + " 24 -1.5545853e+09 3.85e-03 2.13e+03 -1.0 5.75e+02 -6.1 8.16e-01 1.00e+00f 1\n", + " 25 -1.5546662e+09 1.18e-01 1.70e+03 -1.0 2.67e+05 - 1.99e-01 2.46e-01f 1\n", + " 26 -1.5546749e+09 4.85e-01 1.38e+03 -1.0 1.19e+05 - 1.89e-01 3.91e-01f 1\n", + " 27 -1.5546741e+09 4.26e-01 1.03e+03 -1.0 7.38e+04 - 2.56e-01 4.91e-01f 1\n", + " 28 -1.5546738e+09 4.11e-01 7.07e+02 -1.0 5.17e+04 - 3.12e-01 6.62e-01f 1\n", + " 29 -1.5546622e+09 4.05e-01 4.30e+02 -1.0 2.89e+04 - 3.92e-01 9.28e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30 -1.5546621e+09 2.03e-01 2.87e+02 -1.0 2.26e+01 -3.9 3.33e-01 5.00e-01f 2\n", + " 31 -1.5546620e+09 2.76e-06 2.84e+00 -1.0 1.04e+01 -4.4 9.90e-01 1.00e+00h 1\n", + " 32 -1.5546440e+09 1.75e-01 1.45e+02 -1.0 3.37e+04 - 4.34e-01 1.00e+00f 1\n", + " 33 -1.5546332e+09 3.03e-01 8.32e+01 -1.0 2.67e+04 - 6.71e-01 1.00e+00f 1\n", + " 34 -1.5546332e+09 5.61e-06 5.99e-04 -1.0 5.77e+00 -4.9 1.00e+00 1.00e+00h 1\n", + " 35 -1.5546366e+09 2.41e-06 4.26e+06 -3.8 4.47e+01 -4.5 9.98e-01 5.71e-01f 1\n", + " 36 -1.5546379e+09 1.13e-06 2.00e+06 -3.8 2.63e+01 -4.1 7.17e-01 5.31e-01f 1\n", + " 37 -1.5546386e+09 3.47e-07 6.16e+05 -3.8 1.23e+01 -3.7 7.36e-01 6.92e-01f 1\n", + " 38 -1.5546417e+09 1.63e-04 6.15e+05 -3.8 7.90e+07 - 2.54e-03 3.06e-05f 1\n", + " 39 -1.5546424e+09 1.11e-04 4.16e+05 -3.8 8.03e+01 -4.6 8.88e-03 3.22e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40 -1.5546435e+09 1.30e-04 4.15e+05 -3.8 3.22e+07 - 1.90e-03 2.78e-05f 1\n", + " 41 -1.5546436e+09 1.24e-04 3.97e+05 -3.8 3.45e+02 -4.7 1.19e-01 4.40e-02f 1\n", + " 42 -1.5546437e+09 1.08e-04 3.49e+05 -3.8 3.36e+01 -4.2 9.58e-01 1.28e-01f 1\n", + " 43 -1.5546440e+09 9.33e-05 3.01e+05 -3.8 8.48e+01 -4.7 8.68e-01 1.40e-01f 1\n", + " 44 -1.5546442e+09 5.98e-05 1.92e+05 -3.8 3.21e+01 -4.3 1.00e+00 3.60e-01f 1\n", + " 45 -1.5546445e+09 4.64e-05 1.49e+05 -3.8 9.40e+01 -4.8 1.00e+00 2.23e-01f 1\n", + " 46 -1.5547218e+09 1.03e-01 1.48e+05 -3.8 8.27e+07 - 9.63e-03 7.13e-04f 1\n", + " 47 -1.5548137e+09 2.19e-01 9.16e+04 -3.8 7.40e+06 - 3.82e-01 1.04e-02f 1\n", + " 48 -1.5548165e+09 1.89e-01 9.82e+02 -3.8 1.96e+04 - 1.00e+00 1.36e-01f 1\n", + " 49 -1.5548186e+09 1.07e-01 5.16e+02 -3.8 4.95e+03 - 1.00e+00 4.28e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50 -1.5548186e+09 6.65e-02 2.78e+04 -3.8 1.32e+01 -4.9 4.53e-01 3.76e-01f 1\n", + " 51 -1.5548187e+09 3.40e-02 2.09e+03 -3.8 2.82e+00 -3.5 1.00e+00 4.88e-01f 1\n", + " 52 -1.5548187e+09 1.63e-02 6.14e+03 -3.8 5.74e+00 -4.0 1.00e+00 5.21e-01f 1\n", + " 53 -1.5548187e+09 7.73e-03 1.86e+03 -3.8 1.92e+00 -3.6 1.00e+00 5.26e-01f 1\n", + " 54 -1.5548201e+09 8.03e-03 1.18e+03 -3.8 3.42e+04 - 3.67e-01 5.38e-02f 1\n", + " 55 -1.5548206e+09 8.82e-03 3.37e+02 -3.8 2.34e+03 - 7.15e-01 2.76e-01f 1\n", + " 56 -1.5548208e+09 6.49e-03 8.45e+01 -3.8 3.72e+02 - 1.00e+00 5.76e-01f 1\n", + " 57 -1.5548208e+09 5.56e-05 1.05e-02 -3.8 2.87e+00 -4.1 1.00e+00 1.00e+00f 1\n", + " 58 -1.5548208e+09 8.55e-04 3.86e-02 -3.8 7.59e+01 - 1.00e+00 1.00e+00f 1\n", + " 59 -1.5548208e+09 1.99e-03 3.47e-03 -3.8 2.35e+01 - 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60 -1.5548208e+09 4.94e-06 1.06e-05 -3.8 8.19e-01 - 1.00e+00 1.00e+00h 1\n", + " 61 -1.5548209e+09 5.06e-04 1.36e+02 -5.7 1.57e+02 - 8.50e-01 3.91e-01f 1\n", + " 62 -1.5548209e+09 1.93e-04 3.31e+02 -5.7 1.76e-01 -2.9 6.31e-01 6.17e-01f 1\n", + " 63 -1.5548209e+09 1.02e-04 1.09e+02 -5.7 3.95e-01 -3.4 7.81e-01 4.70e-01f 1\n", + " 64 -1.5548209e+09 9.86e-05 1.06e+02 -5.7 5.68e+02 - 1.84e-02 3.26e-02f 1\n", + " 65 -1.5548209e+09 9.57e-05 1.01e+02 -5.7 2.34e+02 - 5.27e-02 3.65e-02f 1\n", + " 66 -1.5548209e+09 9.41e-05 8.51e+01 -5.7 1.07e+02 - 1.74e-01 2.54e-02f 1\n", + " 67 -1.5548209e+09 9.21e-05 7.84e+01 -5.7 5.69e+01 - 8.52e-02 3.22e-02f 1\n", + " 68 -1.5548209e+09 8.71e-05 7.19e+01 -5.7 4.02e+01 - 8.41e-02 8.12e-02f 1\n", + " 69 -1.5548209e+09 2.41e-05 1.48e+01 -5.7 7.32e-02 -2.6 4.83e-01 7.23e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70 -1.5548209e+09 1.14e-05 8.93e+00 -5.7 1.65e-01 -3.1 7.54e-01 5.25e-01f 1\n", + " 71 -1.5548209e+09 1.93e-05 8.77e+00 -5.7 6.95e+01 - 1.38e-02 4.46e-02f 1\n", + " 72 -1.5548209e+09 1.54e-05 7.72e+00 -5.7 7.65e-01 -4.1 5.75e-01 2.00e-01f 1\n", + " 73 -1.5548209e+09 2.89e-05 7.50e+00 -5.7 3.88e+01 - 2.49e-02 5.32e-02f 1\n", + " 74 -1.5548209e+09 4.62e-05 6.66e+00 -5.7 1.86e+01 - 1.17e-01 7.67e-02f 1\n", + " 75 -1.5548209e+09 7.72e-05 1.30e+01 -5.7 5.24e+00 - 9.58e-01 1.64e-01f 1\n", + " 76 -1.5548209e+09 1.97e-04 5.82e-05 -5.7 4.36e-01 - 1.00e+00 1.00e+00f 1\n", + " 77 -1.5548209e+09 1.66e-07 3.67e-07 -5.7 5.76e-02 -5.5 1.00e+00 1.00e+00h 1\n", + " 78 -1.5548209e+09 2.59e-07 1.76e+01 -7.0 5.80e-01 - 9.95e-01 5.73e-01f 1\n", + " 79 -1.5548209e+09 4.80e-08 8.56e+01 -7.0 2.46e-01 - 6.25e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80 -1.5548209e+09 5.66e-10 1.16e-09 -7.0 1.04e-03 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 80\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -2.6084237389827598e+07 -1.5548209326425235e+09\n", + "Dual infeasibility......: 1.1645811194840818e-09 6.9417981260984143e-08\n", + "Constraint violation....: 1.1641532182693481e-10 5.6555737870667144e-10\n", + "Variable bound violation: 6.2716869560133087e-09 6.2716869560133087e-09\n", + "Complementarity.........: 9.1552855412841452e-08 5.4572535095311482e-06\n", + "Overall NLP error.......: 9.1552855412841452e-08 5.4572535095311482e-06\n", + "\n", + "\n", + "Number of objective function evaluations = 86\n", + "Number of objective gradient evaluations = 81\n", + "Number of equality constraint evaluations = 86\n", + "Number of inequality constraint evaluations = 86\n", + "Number of equality constraint Jacobian evaluations = 81\n", + "Number of inequality constraint Jacobian evaluations = 81\n", + "Number of Lagrangian Hessian evaluations = 80\n", + "Total seconds in IPOPT = 256.985\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212160, 'Number of variables': 211203, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 259.56267189979553}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Append cash flow expressions\n", + "# append_costs_and_revenue(m,\n", + "# ps=m,\n", + "# LMP=m.LMP)\n", + "\n", + "#=================================================\n", + "# tealComponentList = []\n", + "# for name, comp in components.items():\n", + "# tealComp = buildTealComponent(name, comp, m)\n", + "# tealComponentList.append(tealComp)\n", + "\n", + "metrics = RunCashFlow.run(tealSettings, tealComponentList, {}, pyomoVar=True)\n", + "\n", + "# Define the objective function\n", + "m.obj = Objective(expr=metrics['NPV'], sense=maximize)\n", + "\n", + "#=================================================\n", + "# m.obj = Objective(expr=m.npv, sense=maximize)\n", + "# Define the solver object. Using IPOPT\n", + "solver = get_solver()\n", + "\n", + "# Solver the optimization problem\n", + "solver.solve(m, tee=True)" + ] + }, + { + "cell_type": "markdown", + "id": "confident-neutral", + "metadata": {}, + "source": [ + "Verify that the solver converges to the optimal solution. We now print the results and answer the questions posed at the beginning of this notebook. To recall, we are interested in determining whether the following options are attractive (i.e., maximize NPV):\n", + "\n", + "- Produce hydrogen using a portion of the electricity, especially during periods of low electricity demand, and sell it.\n", + "- Produce hydrogen, store it in a tank, and combust it to produce electrity during the periods of high electricity demand." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "scientific-nudist", + "metadata": {}, + "outputs": [], + "source": [ + "def generate_plots(m, d, y, set_time, lmp):\n", + " LMP = [lmp[y][d][t] for t in set_time]\n", + " \n", + " # Power from nuclear power plant to the grid (convert it to MW)\n", + " np_to_grid = [m.period[t, d, y].fs.np_power_split.split_fraction[\"np_to_grid\", 0].value \n", + " for t in set_time]\n", + " # Hydrogen production rate in the PEM electrolyzer (convert it to kg/hr)\n", + " h2_production = [m.period[t, d, y].fs.pem.outlet.flow_mol[0].value * 2.016e-3 * 3600\n", + " for t in set_time]\n", + " # Hydrogen flowrate to pipeline (convert it to kg/hr)\n", + " h2_to_pipeline = [m.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0].value * 2.016e-3 * 3600\n", + " for t in set_time]\n", + " # Hydrogen flowrate to turbine (convert it to kg/hr)\n", + " h2_to_turbine = [m.period[t, d, y].fs.h2_tank.outlet_to_turbine.flow_mol[0].value * 2.016e-3 * 3600\n", + " for t in set_time]\n", + " \n", + " # Plot the results\n", + " plot_lmp_and_schedule(lmp=LMP,\n", + " schedule={\"power_to_grid\": np_to_grid,\n", + " \"h2_production\": h2_production,\n", + " \"h2_to_pipeline\": h2_to_pipeline,\n", + " \"h2_to_turbine\": h2_to_turbine},\n", + " y_label={\"power_to_grid\": \"Split fraction to grid [-]\",\n", + " \"h2_production\": \"Hydrogen production (kg/hr)\",\n", + " \"h2_to_pipeline\": \"Hydrogen to pipeline (kg/hr)\",\n", + " \"h2_to_turbine\": \"Hydrogen to turbine (kg/hr)\"},\n", + " y_range={\"power_to_grid\": (0.5, 1.02),\n", + " \"h2_production\": (0, 4000),\n", + " \"h2_to_pipeline\": (0, 4000),\n", + " \"h2_to_turbine\": (-0.5, 10)})" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "disabled-invitation", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optimal PEM capacity : 196.2616021878854 MW\n", + "Optimal tank capacity : 2.066591758867942e-05 kg\n", + "OPtimal turbine capacity: 9.076707516973046e-05 MW\n", + "NPV : 1.5548209326425222 $B\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "\n", + "# Print Results\n", + "print(\"Optimal PEM capacity : \", m.pem_capacity.value * 1e-3, \"MW\")\n", + "print(\"Optimal tank capacity : \", m.tank_capacity.value * 2.016e-3, \"kg\")\n", + "print(\"OPtimal turbine capacity: \", m.h2_turbine_capacity.value * 1e-6, \"MW\")\n", + "\n", + "print(\"NPV :\", pyo.value( m.obj ) * 1e-9, \"$B\")\n", + "\n", + "# Using `generate_plots` we plot optimal operating conditions for a specific day\n", + "generate_plots(m, d=1, y=2022, set_time=m.set_time, lmp=m.LMP)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "brutal-sigma", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Using `generate_plots` we plot optimal operating conditions for a specific day\n", + "generate_plots(m, d=8, y=2022, set_time=m.set_time, lmp=m.LMP)\n" + ] + }, + { + "cell_type": "markdown", + "id": "empty-identity", + "metadata": {}, + "source": [ + "- Clearly, when the selling price of hydrogen is $3/kg, it is attractive (maximizes NPV) to produce hydrogen using a portion of electricity when its price is sufficiently low.\n", + "- However, storing hydrogen and combusting it later to produce electricity is not attractive. This is inferred from the optimal size of the hydrogen tank and the size of the turbine, respectively (both the values are zero. We see a small nonzero value because we imposed small nonzero lower bounds on flows to avoid convergence issues). \n", + "\n", + "The optimal size of the PEM electrolyzer for the production of hydrogen is 196.26 MW for a hydrogen demand of 1 kg/s. The hydrogen tank and the hydrogen turbine must not be built to maximize the NPV. The hydrogen produced by the PEM electrolyzer must be sold immediately to the hydrogen market via the pipeline." + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "brilliant-prairie", + "metadata": {}, + "outputs": [], + "source": [ + "# These optimization problems tend to be very large, so we \n", + "# delete the model after analyzing the results to save memory.\n", + "del m" + ] + }, + { + "cell_type": "markdown", + "id": "civic-special", + "metadata": {}, + "source": [ + "## Multiperiod Optimization Model: Stochastic\n", + "\n", + "### LMP Signal\n", + "\n", + "As mentioned in the previous section, due to uncertainty in various factors such as weather, demand, etc., it is not possible to determine the future locational marginal price accurately. There are many approaches to take into account the uncertainty in the LMP signal during the decision making process. One such approach involves the generation of potential LMP scenarios along with their associated probabilities and use them to formulate a stochastic program.\n", + "\n", + "Here, for demonstration, we consider two different realizations of the LMP signal (i.e., two scenarios: scenario 0 and scenario 1). " + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "previous-sending", + "metadata": {}, + "outputs": [], + "source": [ + "# Gather the LMP data needed for the stochastic case\n", + "# Notation: lmp_dataset[scenario][year][cluster/day][time/hour]\n", + "lmp_stochastic = {scenario: {year: {cluster: {hour: lmp_dataset[str(scenario)][str(year)][str(cluster)][str(hour)]\n", + " for hour in range(1, 25)} \n", + " for cluster in range(1, 21)}\n", + " for year in [2022]}\n", + " for scenario in [0, 1]}" + ] + }, + { + "cell_type": "markdown", + "id": "polar-bridge", + "metadata": {}, + "source": [ + "Next, we formulate an optimization problem of the form\n", + "$$ \\begin{aligned}\n", + "\\max_{D, D_s, u_{s, t, d}} \\quad & \\sum_s w_s \\text{NPV}_s(D_s, u_{s, t, d})\\\\\n", + "& g(u_{s, t, d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S} \\\\\n", + "& h(u_{s, t, d}) \\le 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S} \\\\\n", + "& f(u_{s, t-1, d}, u_{s, t, d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S} \\\\\n", + "& u_{s, t, d} \\le D_s, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S}\\\\\n", + "& D_s = D, & & \\forall\\; s \\in \\mathcal{S}\n", + "\\end{aligned}$$\n", + "\n", + "Here, the sets $\\mathcal{S} = \\{0, 1\\}$, $\\mathcal{T} = \\{1, \\dots, 24\\}$ and $\\mathcal{C} = \\{1, \\dots, 20\\}$ denote the the set of scenarios, the set of hours in a day and the set of clusters/days in a year, respectively. $D$ denotes the design decisions (or, first-stage variables) viz. size of the PEM electrolyzer (`pem_capacity`), tank (`tank_capacity`) and the turbine (`turbine_capacity`), and $D_s$ denotes the design decisions in scenario $s$. $u_{s, t, d}$ denotes the operating decisions (or, second-stage decisions) in scenario $s$, at time $t$ of day/cluster $d$. $g(u_{s, t, d}) = 0$ and $h(u_{s, t,d}) \\le 0$ denote the flowsheet model, $f(u_{s, t-1,d}, u_{s, t,d}) = 0$ connects the operating decisions at time $t-1$ and at time $t$ (e.g., tank holdup), and $u_{s, t, d} \\le D_s$ ensures that the operating decision values never exceed the design capacity values (e.g., tank holdup at any time instant must not exceed the tank capacity) in scenario $s$. Finally, $D_s = D$ ensures that the design decisions are maintained the same in all scenarios (non-anticipativity constraints).\n", + "\n", + "In the objective function, $w_s$ denotes the probability associated with scenario $s$, and $\\text{NPV}_s$ stands for the net present value calculated in scenario $s$." + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "lightweight-prediction", + "metadata": {}, + "outputs": [], + "source": [ + "# Create concrete model object\n", + "m = ConcreteModel()\n", + "\n", + "# Define sets\n", + "m.set_time = RangeSet(24) # twenty fours in a day\n", + "m.set_days = RangeSet(20) # twenty clusters/days per year\n", + "m.set_years = [2022] # Set of years\n", + "m.set_scenarios = [0, 1] # Set of scenarios\n", + "\n", + "# Define parameters\n", + "m.plant_life = 20 # Plant lifetime: 20 years\n", + "m.tax_rate = 0.2 # Corporate tax rate: 20%\n", + "m.discount_rate = 0.08 # Discount rate: 8%\n", + "m.h2_price = 3 # Selling price of hydrogen: $3/kg\n", + "m.h2_demand = 1 # Maximum amount of hydrogen that can be sold: 1 kg/s\n", + "m.LMP = lmp_stochastic # LMP signal\n", + "m.weights_days = weights_days # number of days represented by each cluster\n", + "m.weights_scenarios = {0: 0.5, 1: 0.5} # Equal probability for both the scenarios" + ] + }, + { + "cell_type": "markdown", + "id": "talented-dietary", + "metadata": {}, + "source": [ + "Next, we call the `build_multiperiod_design` function to formulate the multi-period optimization problem. However, this time, we also set `stochastic=True`. " + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "returning-moderator", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ 0.00] Processing input information.\n", + "[+ 0.00] Beginning the formulation of the multiperiod problem.\n", + "[+ 154.66] Completed the formulation of the multiperiod problem\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:35 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-08-29 06:40:36 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:36 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-08-29 06:40:36 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:36 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:36 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-08-29 06:40:39 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-08-29 06:40:39 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "[+ 4.33] Created an instance of the flowsheet and initialized it.\n", + "[+ 18.59] Initialized the entire multiperiod optimization model.\n", + "[+ 0.38] Unfixed the degrees of freedom from each period model.\n" + ] + } + ], + "source": [ + "# Build initialized multiperiod model: Constraints g(u(t,d)) = 0 and h(u(t,d)) <= 0\n", + "build_multiperiod_design(m,\n", + " flowsheet=build_ne_flowsheet,\n", + " initialization=fix_dof_and_initialize,\n", + " unfix_dof=unfix_dof,\n", + " multiple_days=True,\n", + " multiyear=True,\n", + " stochastic=True,\n", + " verbose=False)" + ] + }, + { + "cell_type": "markdown", + "id": "divine-zimbabwe", + "metadata": {}, + "source": [ + "Next, add the connecting constraints and hydrogen demand constraints for each of the scenarios." + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "elder-victoria", + "metadata": {}, + "outputs": [], + "source": [ + "for s in m.set_scenarios:\n", + " # Build the connecting constraints\n", + " build_connecting_constraints(m.scenario[s], \n", + " set_time=m.set_time, \n", + " set_days=m.set_days,\n", + " set_years=m.set_years)\n", + "\n", + " # Append cash flow expressions\n", + " append_costs_and_revenue(m.scenario[s],\n", + " ps=m,\n", + " LMP=m.LMP[s])\n", + " \n", + " # Hydrogen demand constraint. \n", + " # Divide the RHS by the molecular mass to convert kg/s to mol/s\n", + " obj = m.scenario[s]\n", + " @obj.Constraint(m.set_time, m.set_days, m.set_years)\n", + " def hydrogen_demand_constraint(blk, t, d, y):\n", + " return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / 2.016e-3" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "suburban-radar", + "metadata": {}, + "outputs": [], + "source": [ + "# Add non-anticipativity constraints\n", + "m.pem_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Design PEM capacity (in kW)\")\n", + "m.tank_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Design tank capacity (in mol)\")\n", + "m.h2_turbine_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Design turbine capacity (in W)\")\n", + "\n", + "@m.Constraint(m.set_scenarios)\n", + "def non_anticipativity_pem(blk, s):\n", + " return blk.pem_capacity == blk.scenario[s].pem_capacity\n", + "\n", + "@m.Constraint(m.set_scenarios)\n", + "def non_anticipativity_tank(blk, s):\n", + " return blk.tank_capacity == blk.scenario[s].tank_capacity\n", + "\n", + "@m.Constraint(m.set_scenarios)\n", + "def non_anticipativity_turbine(blk, s):\n", + " return blk.h2_turbine_capacity == blk.scenario[s].h2_turbine_capacity" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "liberal-riverside", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", + "tol=1e-06\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.14.7, running with linear solver MUMPS 5.5.0.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 580772\n", + "Number of nonzeros in inequality constraint Jacobian.: 7680\n", + "Number of nonzeros in Lagrangian Hessian.............: 195840\n", + "\n", + "Total number of variables............................: 211209\n", + " variables with only lower bounds: 20169\n", + " variables with lower and upper bounds: 176640\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 208326\n", + "Total number of inequality constraints...............: 3840\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 3840\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -1.2559159e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -1.5355493e+09 1.94e+05 2.06e+04 -1.0 2.80e+06 - 2.43e-03 8.89e-01f 1\n", + " 2 -1.5732609e+09 7.89e+03 1.24e+04 -1.0 5.04e+05 - 6.39e-04 9.90e-01f 1\n", + " 3 -1.5737278e+09 2.33e+02 4.40e+03 -1.0 1.01e+04 - 4.84e-01 9.71e-01f 1\n", + " 4 -1.5737296e+09 2.21e+02 1.17e+04 -1.0 2.04e+02 - 2.69e-02 5.23e-02f 4\n", + " 5 -1.5737432e+09 1.14e+02 1.23e+04 -1.0 1.02e+03 - 6.74e-03 4.98e-01f 1\n", + " 6 -1.5737728e+09 1.29e+01 5.26e+03 -1.0 3.95e+02 - 7.84e-01 9.92e-01h 1\n", + " 7 -1.5737782e+09 1.23e+00 1.13e+06 -1.0 3.37e+01 -4.0 5.46e-01 1.00e+00f 1\n", + " 8 -1.5740225e+09 1.35e+00 3.90e+06 -1.0 8.84e+02 - 5.47e-01 1.00e+00f 1\n", + " 9 -1.5747652e+09 3.14e+00 3.72e+06 -1.0 2.68e+03 - 4.76e-02 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -1.5747859e+09 4.29e-02 2.22e+06 -1.0 1.68e+02 -4.5 4.04e-01 1.00e+00f 1\n", + " 11 -1.5767248e+09 4.49e-02 2.19e+06 -1.0 1.49e+04 - 1.14e-02 1.00e+00f 1\n", + " 12 -1.5791179e+09 4.25e-01 1.99e+06 -1.0 2.27e+04 - 9.09e-02 6.91e-01f 1\n", + " 13 -1.5841947e+09 5.01e-01 1.80e+06 -1.0 3.51e+04 - 9.63e-02 7.93e-01f 1\n", + " 14 -1.5975256e+09 4.62e-02 1.62e+06 -1.0 6.32e+04 - 1.01e-01 1.00e+00f 1\n", + " 15 -1.5976020e+09 1.59e-04 4.60e+05 -1.0 3.29e+02 -5.0 7.16e-01 1.00e+00f 1\n", + " 16 -1.5976057e+09 3.03e-08 4.60e+03 -1.0 1.67e+01 -3.6 9.90e-01 1.00e+00f 1\n", + " 17 -1.6299658e+09 1.76e-04 4.59e+03 -1.0 2.61e+07 - 1.03e-03 4.68e-03f 1\n", + " 18 -1.6299700e+09 7.39e-06 4.57e+01 -1.0 1.86e+01 -3.7 9.90e-01 1.00e+00f 1\n", + " 19 -1.6303305e+09 1.10e-04 4.56e+01 -1.0 2.97e+07 - 2.20e-03 3.61e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 -1.6305480e+09 1.93e-04 4.55e+01 -1.0 3.36e+07 - 2.13e-03 3.05e-03f 1\n", + " 21 -1.6306623e+09 2.96e-04 4.54e+01 -1.0 3.01e+07 - 2.40e-03 3.45e-03f 1\n", + " 22 -1.6307205e+09 4.19e-04 4.53e+01 -1.0 2.65e+07 - 3.49e-03 3.85e-03f 1\n", + " 23 -1.6307870e+09 9.58e-04 4.51e+01 -1.0 1.49e+07 - 2.81e-03 8.68e-03f 1\n", + " 24 -1.6307920e+09 4.56e-05 1.14e+01 -1.0 2.74e+01 -3.8 9.94e-01 1.00e+00f 1\n", + " 25 -1.6308272e+09 4.50e-05 6.51e+04 -1.7 1.21e+07 - 3.96e-03 1.21e-02f 1\n", + " 26 -1.6308337e+09 5.88e-05 6.44e+04 -1.7 2.02e+06 - 1.06e-02 5.31e-03f 1\n", + " 27 -1.6308503e+09 1.02e-04 6.43e+04 -1.7 3.06e+07 - 1.06e-03 5.30e-03f 1\n", + " 28 -1.6308610e+09 1.49e-04 6.40e+04 -1.7 1.74e+07 - 5.42e-03 5.72e-03f 1\n", + " 29 -1.6308774e+09 2.51e-05 2.97e+05 -1.7 7.43e+01 -4.3 9.37e-01 9.73e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30 -1.6308829e+09 2.54e-07 4.41e-03 -1.7 2.98e+01 -3.8 1.00e+00 1.00e+00f 1\n", + " 31 -1.6308832e+09 2.49e-07 1.06e+06 -3.8 7.49e+01 -4.3 5.55e-01 2.21e-02f 1\n", + " 32 -1.6308993e+09 5.03e-06 1.06e+06 -3.8 9.29e+07 - 5.21e-04 1.59e-03f 1\n", + " 33 -1.6309009e+09 3.92e-06 7.47e+05 -3.8 1.53e+02 -4.4 1.24e-01 2.16e-01f 1\n", + " 34 -1.6309016e+09 2.95e-06 4.98e+05 -3.8 6.68e+01 -3.9 1.60e-01 2.45e-01f 1\n", + " 35 -1.6309021e+09 2.04e-06 2.90e+05 -3.8 3.15e+01 -3.5 2.27e-01 3.09e-01f 1\n", + " 36 -1.6309021e+09 1.99e-06 3.67e+05 -3.8 9.06e+01 -4.0 1.87e-01 2.21e-02f 1\n", + " 37 -1.6309023e+09 1.69e-06 2.87e+05 -3.8 3.43e+01 -3.6 9.14e-02 1.51e-01f 1\n", + " 38 -1.6309026e+09 1.50e-06 2.36e+05 -3.8 7.31e+01 -4.0 6.09e-02 1.12e-01f 1\n", + " 39 -1.6309027e+09 1.34e-06 2.82e+05 -3.8 2.78e+01 -3.6 3.14e-01 1.07e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40 -1.6309203e+09 2.56e-06 2.82e+05 -3.8 3.75e+08 - 1.65e-04 3.57e-04f 1\n", + " 41 -1.6309289e+09 2.94e-06 2.82e+05 -3.8 4.30e+08 - 1.89e-04 1.81e-04f 1\n", + " 42 -1.6309290e+09 2.28e-06 2.19e+05 -3.8 2.12e+01 -3.2 2.26e-01 2.24e-01f 1\n", + " 43 -1.6309292e+09 1.90e-06 1.73e+05 -3.8 3.41e+01 -3.7 1.10e-01 1.65e-01f 1\n", + " 44 -1.6309294e+09 1.74e-06 1.65e+05 -3.8 7.76e+01 -4.2 1.23e-01 8.39e-02f 1\n", + " 45 -1.6309295e+09 1.65e-06 1.75e+05 -3.8 3.81e+01 -3.8 1.90e-01 5.46e-02f 1\n", + " 46 -1.6309297e+09 1.46e-06 1.63e+05 -3.8 8.50e+01 -4.2 1.76e-01 1.12e-01f 1\n", + " 47 -1.6309298e+09 1.26e-06 1.80e+05 -3.8 3.17e+01 -3.8 5.44e-01 1.34e-01f 1\n", + " 48 -1.6309300e+09 8.34e-07 1.17e+05 -3.8 1.17e+01 -3.4 2.74e-01 3.38e-01f 1\n", + " 49 -1.6309300e+09 7.47e-07 1.15e+05 -3.8 2.64e+01 -3.9 4.25e-01 1.04e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50 -1.6309389e+09 1.04e-06 1.15e+05 -3.8 1.52e+09 - 3.37e-05 4.19e-05f 1\n", + " 51 -1.6309391e+09 8.37e-07 9.78e+04 -3.8 3.03e+01 -3.9 4.86e-01 1.94e-01f 1\n", + " 52 -1.6309514e+09 1.01e-06 9.78e+04 -3.8 4.88e+09 - 1.44e-05 2.53e-05f 1\n", + " 53 -1.6309515e+09 9.09e-07 9.39e+04 -3.8 2.90e+01 -4.0 7.11e-01 9.90e-02f 1\n", + " 54 -1.6309644e+09 1.34e-06 9.39e+04 -3.8 4.32e+09 - 1.46e-05 3.07e-05f 1\n", + " 55 -1.6309645e+09 3.56e-07 2.62e+04 -3.8 4.40e+00 -3.1 1.00e+00 7.29e-01f 1\n", + " 56 -1.6309645e+09 2.87e-07 2.11e+04 -3.8 1.10e+01 -3.6 6.23e-01 1.94e-01f 1\n", + " 57 -1.6309646e+09 1.94e-07 1.43e+04 -3.8 3.88e+00 -3.2 1.00e+00 3.23e-01f 1\n", + " 58 -1.6309646e+09 1.53e-07 1.13e+04 -3.8 1.16e+01 -3.6 9.44e-01 2.07e-01f 1\n", + " 59 -1.6309711e+09 3.04e-07 1.13e+04 -3.8 3.38e+09 - 2.22e-05 2.59e-05f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60 -1.6309711e+09 2.57e-07 9.60e+03 -3.8 1.29e+01 -3.7 1.00e+00 1.54e-01f 1\n", + " 61 -1.6309842e+09 5.97e-07 9.60e+03 -3.8 3.50e+09 - 1.56e-05 4.05e-05f 1\n", + " 62 -1.6309932e+09 6.81e-07 9.60e+03 -3.8 4.45e+09 - 1.64e-05 1.92e-05f 1\n", + " 63 -1.6309997e+09 8.22e-07 9.60e+03 -3.8 4.75e+09 - 1.59e-05 2.47e-05f 1\n", + " 64 -1.6309998e+09 5.85e-10 2.64e-03 -3.8 2.58e-01 -2.0 1.00e+00 1.00e+00f 1\n", + " 65 -1.6309998e+09 6.93e-10 3.72e-01 -3.8 7.75e-01 -2.5 1.00e+00 9.17e-01f 1\n", + " 66 -1.6310042e+09 2.83e-07 3.72e-01 -3.8 3.25e+09 - 2.36e-05 3.68e-05f 1\n", + " 67 -1.6310082e+09 5.39e-07 3.72e-01 -3.8 3.54e+09 - 1.51e-05 3.50e-05f 1\n", + " 68 -1.6310109e+09 7.07e-07 3.72e-01 -3.8 3.33e+09 - 2.20e-05 2.84e-05f 1\n", + " 69 -1.6310123e+09 9.67e-07 3.72e-01 -3.8 7.99e+08 - 7.84e-05 3.53e-05f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70 -1.6310124e+09 9.00e-07 1.76e+01 -3.8 2.29e+01 -3.9 9.41e-01 6.94e-02f 1\n", + " 71 -1.6310213e+09 2.95e-05 1.74e+01 -3.8 4.91e+08 - 4.48e-05 3.55e-04f 1\n", + " 72 -1.6310214e+09 2.58e-05 3.87e+01 -3.8 2.49e+01 -4.0 1.00e+00 1.24e-01f 1\n", + " 73 -1.6310215e+09 1.81e-05 2.63e+01 -3.8 9.29e+00 -3.6 1.00e+00 2.99e-01f 1\n", + " 74 -1.6310301e+09 3.65e-04 2.44e+01 -3.8 3.15e+07 - 2.41e-04 1.23e-03f 1\n", + " 75 -1.6310316e+09 3.65e-04 2.43e+01 -3.8 3.27e+09 - 1.43e-05 4.58e-05f 1\n", + " 76 -1.6310325e+09 3.66e-04 2.43e+01 -3.8 1.46e+09 - 5.60e-05 7.21e-05f 1\n", + " 77 -1.6310329e+09 3.68e-04 2.62e+01 -3.8 9.93e+07 - 1.18e-03 8.66e-05f 1\n", + " 78 -1.6310337e+09 3.72e-04 2.60e+01 -3.8 1.63e+09 - 3.97e-06 1.17e-04f 1\n", + " 79 -1.6310337e+09 2.86e-04 5.62e+01 -3.8 7.08e-01 -1.9 7.89e-01 2.32e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80 -1.6310337e+09 2.77e-04 1.52e+01 -3.8 6.40e-01 -2.4 1.00e+00 3.18e-02f 1\n", + " 81 -1.6310337e+09 1.30e-04 7.41e+00 -3.8 1.91e+00 -2.9 1.00e+00 5.32e-01f 1\n", + " 82 -1.6310389e+09 1.51e-03 7.43e+00 -3.8 3.06e+06 - 1.47e-03 2.37e-03f 1\n", + " 83 -1.6310395e+09 1.52e-03 7.43e+00 -3.8 1.09e+09 - 1.09e-05 1.70e-04f 1\n", + " 84 -1.6310423e+09 2.77e-03 7.33e+00 -3.8 3.82e+05 - 4.71e-03 2.01e-03f 1\n", + " 85 -1.6310450e+09 4.52e-03 7.27e+00 -3.8 2.08e+05 - 4.44e-03 3.69e-03f 1\n", + " 86 -1.6310478e+09 8.31e-03 7.20e+00 -3.8 1.20e+05 - 7.70e-03 7.13e-03f 1\n", + " 87 -1.6310479e+09 8.03e-03 1.11e+02 -3.8 4.01e+01 -4.4 3.51e-01 3.35e-02f 1\n", + " 88 -1.6310479e+09 7.82e-03 9.18e+02 -3.8 5.19e+01 -4.8 1.00e+00 2.64e-02f 1\n", + " 89 -1.6310501e+09 1.10e-02 9.01e+02 -3.8 5.37e+04 - 2.14e-02 1.89e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90 -1.6310506e+09 1.09e-02 8.88e+02 -3.8 2.30e+04 - 4.73e-02 1.75e-02f 1\n", + " 91 -1.6310510e+09 1.04e-02 8.53e+02 -3.8 1.04e+04 - 1.59e-01 4.45e-02f 1\n", + " 92 -1.6310511e+09 1.23e-03 1.89e+02 -3.8 1.90e+01 -3.1 1.00e+00 9.33e-01f 1\n", + " 93 -1.6310514e+09 6.62e-03 4.39e+02 -3.8 4.48e+03 - 2.58e-01 6.57e-02f 1\n", + " 94 -1.6310516e+09 2.93e-02 5.48e+02 -3.8 1.27e+03 - 3.41e-01 2.44e-01f 1\n", + " 95 -1.6310516e+09 1.32e-02 5.34e+02 -3.8 2.28e+01 -3.7 7.80e-01 5.47e-01f 1\n", + " 96 -1.6310516e+09 4.97e-03 3.02e+02 -3.8 2.51e+00 -4.1 9.84e-01 6.21e-01f 1\n", + " 97 -1.6310517e+09 1.55e-02 1.38e+02 -3.8 2.94e+02 - 1.00e+00 5.30e-01f 1\n", + " 98 -1.6310517e+09 1.27e-02 4.54e+02 -3.8 5.37e+01 - 4.79e-02 1.00e+00f 1\n", + " 99 -1.6310517e+09 3.21e-03 2.71e-03 -3.8 1.65e+01 - 1.00e+00 1.00e+00h 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100 -1.6310517e+09 2.31e-07 5.27e-05 -3.8 7.31e-02 -3.8 1.00e+00 1.00e+00h 1\n", + " 101 -1.6310517e+09 2.84e-04 9.37e+01 -5.7 8.43e+01 - 6.25e-01 3.21e-01f 1\n", + " 102 -1.6310518e+09 2.91e-04 5.13e+01 -5.7 3.64e+01 - 3.21e-01 3.77e-01f 1\n", + " 103 -1.6310518e+09 2.61e-04 8.49e+01 -5.7 2.14e+01 - 5.02e-01 1.04e-01f 1\n", + " 104 -1.6310518e+09 1.91e-04 4.97e+01 -5.7 1.68e+01 - 1.04e-01 2.72e-01f 1\n", + " 105 -1.6310518e+09 9.64e-05 2.20e+01 -5.7 1.06e+01 - 2.69e-01 4.47e-01f 1\n", + " 106 -1.6310518e+09 5.22e-05 1.72e+01 -5.7 5.44e+00 - 6.03e-01 3.84e-01f 1\n", + " 107 -1.6310518e+09 2.45e-05 5.53e+04 -5.7 1.49e+00 -4.8 1.07e-01 5.01e-01f 1\n", + " 108 -1.6310518e+09 9.80e-06 2.32e+04 -5.7 3.45e-01 -4.4 1.00e+00 5.83e-01f 1\n", + " 109 -1.6310518e+09 1.57e-06 5.72e+03 -5.7 8.84e-01 -4.9 1.00e+00 7.51e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110 -1.6310518e+09 1.11e-06 4.74e+03 -5.7 9.57e+00 - 8.20e-02 1.72e-01f 1\n", + " 111 -1.6310518e+09 7.41e-07 3.28e+03 -5.7 1.33e+00 - 3.81e-01 3.07e-01f 1\n", + " 112 -1.6310518e+09 1.89e-07 6.77e+02 -5.7 3.80e-01 - 1.00e+00 7.95e-01f 1\n", + " 113 -1.6310518e+09 3.31e-09 5.45e-07 -5.7 7.25e-02 - 1.00e+00 1.00e+00f 1\n", + " 114 -1.6310518e+09 1.34e-09 7.10e+01 -7.0 4.08e-01 - 1.00e+00 5.95e-01f 1\n", + " 115 -1.6310518e+09 5.95e-10 3.52e-06 -7.0 1.63e-01 - 1.00e+00 1.00e+00f 1\n", + " 116 -1.6310518e+09 7.84e-10 1.08e-12 -7.0 2.13e-04 - 1.00e+00 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 116\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -3.7401907403570734e+07 -1.6310517839609082e+09\n", + "Dual infeasibility......: 1.0820077830755358e-12 4.7185046094105214e-11\n", + "Constraint violation....: 1.1641532182693481e-10 7.8449113871670306e-10\n", + "Variable bound violation: 6.2884182240770248e-09 6.2884182240770248e-09\n", + "Complementarity.........: 9.0912040120645205e-08 3.9645637219065363e-06\n", + "Overall NLP error.......: 9.0912040120645205e-08 3.9645637219065363e-06\n", + "\n", + "\n", + "Number of objective function evaluations = 120\n", + "Number of objective gradient evaluations = 117\n", + "Number of equality constraint evaluations = 120\n", + "Number of inequality constraint evaluations = 120\n", + "Number of equality constraint Jacobian evaluations = 117\n", + "Number of inequality constraint Jacobian evaluations = 117\n", + "Number of Lagrangian Hessian evaluations = 116\n", + "Total seconds in IPOPT = 366.450\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212166, 'Number of variables': 211209, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 368.75286197662354}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Define the objective function\n", + "m.obj = Objective(expr=sum(m.weights_scenarios[s] * m.scenario[s].npv\n", + " for s in m.set_scenarios), \n", + " sense=maximize)\n", + "\n", + "# Define the solver object. Using the default solver: IPOPT\n", + "solver = get_solver()\n", + "\n", + "# Solve the optimization problem\n", + "solver.solve(m, tee=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "civil-celebration", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optimal PEM capacity : 196.2616021918545 MW\n", + "Optimal tank capacity : 1.4179083742965303e-05 kg\n", + "OPtimal turbine capacity: 9.0763746194857e-05 MW\n" + ] + } + ], + "source": [ + "# Print Results\n", + "print(\"Optimal PEM capacity : \", m.pem_capacity.value * 1e-3, \"MW\")\n", + "print(\"Optimal tank capacity : \", m.tank_capacity.value * 2.016e-3, \"kg\")\n", + "print(\"OPtimal turbine capacity: \", m.h2_turbine_capacity.value * 1e-6, \"MW\")" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "protecting-asthma", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "generate_plots(m.scenario[0], d=8, y=2022, set_time=m.set_time, lmp=m.LMP[0])" + ] + }, + { + "cell_type": "markdown", + "id": "protecting-flexibility", + "metadata": {}, + "source": [ + "Even in the stochastic case, we observe the same result i.e., producing hydrogen and selling it during the periods of low electricity demand is profitable. Whereas, building a turbine to combust hydrogen and produce electricity is not attractive. " + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.7.12 ('raven_libraries')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.12" + }, + "vscode": { + "interpreter": { + "hash": "6d0acf42cb0fb1bfbd1a977660e9dbc5c6cac802e2d2bc70e5030ba691b903ab" + } + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 8001697d0ed77ad1014f7c5ed7bbd0b23c6771d8 Mon Sep 17 00:00:00 2001 From: "Gabriel J. Soto" Date: Fri, 16 Sep 2022 07:29:11 -0600 Subject: [PATCH 07/29] fix to stochastic loop, TEAL results match previous nb --- .../multiperiod_design_pricetaker_wTEAL.ipynb | 3083 +++++++++++++---- 1 file changed, 2457 insertions(+), 626 deletions(-) diff --git a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb index 4007b3c1c..66f447576 100644 --- a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb +++ b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb @@ -2,44 +2,69 @@ "cells": [ { "cell_type": "markdown", - "id": "naval-employment", + "id": "377a6d3a", "metadata": {}, "source": [ - "# Integrated Energy Systems: Nuclear Case Study with TEAL Cashflows\n" - ] - }, - { - "cell_type": "markdown", - "id": "052896d1", - "metadata": {}, - "source": [ - "Before running this notebook, we have to get RAVEN and DISPATCHES to play along together. \n", - "The easiest way, as of 8/19/2022, is to first install RAVEN and all its dependencies into a dedicated conda environment. \n", - "Then install DISPATCHES within that environment. Installation guides for [RAVEN](github.com:idaholab/raven.git) and [DISPATCHES](https://github.com/gmlc-dispatches/dispatches) can be found in their respective Github repositories, but the major steps are summarized below:\n", + "# Integrated Energy Systems: Nuclear Case Study using TEAL \n", "\n", - " ```bash\n", - " # assuming git cloning with SSH key, can substitute HTML cloning\n", - " git clone git@github.com:idaholab/raven.git\n", - " git clone git@github.com:gmlc-dispatches/dispatches.git\n", + "In this notebook, we formulate a multi-period optimization problem that determines the optimal design of an integrated energy system producing electricity and hydrogen such that its net present value (NPV) is maximized for a given market signal. We consider an **existing** nuclear power plant of 1000 MW capcity as the genator. In general, due to safety restrictions, nuclear power plants are not amenable for ramping. Therefore, we assume that the power plant always operates at its base load (i.e., 1000 MW). We are interested in determining whether the following options are attractive (i.e., maximize NPV):\n", "\n", - " cd raven\n", + "- Produce hydrogen using a portion of the electricity, especially during periods of low electricity demand, and sell it.\n", + "- Produce hydrogen, store it in a tank, and combust it to produce electrity during the periods of high electricity demand.\n", + "\n", + "Towards this, we formulate the superstructure shown in the figure below.\n", + "\n", + "![](schematic_nuclear_flowsheet.png \"Nuclear Flowsheet\")\n", + "\n", + "In the figure, arrows in red and blue denote that electricity and material, respectively, flows through them. ID denotes the name of the object containing the corresponding unit's model in the code, and DD and OD stand for design decision and operating decision, respectively. \n", + "\n", + "Here, we use a PEM (polymer electrolyte membrane) electrolyzer to produce hydrogen via water electrolysis. Current PEM technology requires ~54 kWh/kg of hydrogen (see https://www.h-tec.com/en/products/detail/h-tec-pem-electrolyser-me100-350/me100-350/ , last accessed on February 18, 2022). The produced hydrogen is stored in a tank, which can either be sold to the market via a pipeline, or combusted in a hydrogen turbine to produce electricity during the periods of high demand for electricity. Note that\n", + "\n", + "- The hydrogen tank is modeled as a simple inventory model i.e., only mass balance is enforced. The enthalpy balance is not included in the model. If needed, the `SimplifiedHydrogenTank` model in the flowsheet can be replaced with a more detailed tank model (the DISPATCHES repository has a more detailed tank model that enforces enthalpy balance as well).\n", + "- The hydrogen turbine is modeled as a compressor, a stochiometric reactor, and a turbine connected in series. \n", + "\n", + "In the flowsheet model, we use two different thermodynamic packages: one for the PEM electrolyzer and the hydrogen tank, and the other for the mixer and the hydrogen turbine. This is because, the material stream(s) to and from the former units only contain hydrogen. Whereas, the material stream(s) to and from the latter units contain nitrogen, oxygen, water and argon, in addition to hydrogen. The translator block facilitates the use of multiple thermodynamic packages by connecting properties across the packages. \n", + "\n", + "### Objective\n", + "For a given market signal, our objective is to determine the optimal design decisions,\n", + "\n", + "- Size of the PEM electrolyzer (`pem_capacity`: maximum rated capacity of the PEM electrolyzer, in MW)\n", + "- Size of the hydrogen tank (`tank_capacity`: maximum amount of hydrogen that can be stored in the tank, in kg)\n", + "- Size of the hydrogen turbine (`turbine_capacity`: maximum power the hydrogen turbine can produce, in MW)\n", "\n", - " # if you haven't installed RAVEN yet:\n", - " ./scripts/establish_conda_env.sh --install\n", - " # else, activate the environment\n", + "and the optimal operating decisions,\n", + "\n", + "- Split fraction of electricity to the pem electrolyzer (`m.fs.np_power_split.split_fraction[\"np_to_pem\", 0]`)\n", + "- Molar flowrate of hydrogen to the pipeline (`m.fs.h2_tank.outlet_to_pipeline.flow_mol[0]`)\n", + "- Molar flowrate of hydrogen to the turbine (`m.fs.h2_tank.outlet_to_turbine.flow_mol[0]`)\n", + "\n", + "which maximize the NPV.\n", + "\n", + "### TEAL Installation\n", + "The Tool for Economic Analysis (TEAL) Python software is a plugin for the Risk Analysis Virtual Environment (RAVEN) and developed at Idaho National Lab (INL). TEAL is aimed to contain and deploy complex economic analyses. It allows for a generic definition of cash flows, flexible options to deal with taxes, inflation, discounting, and offers capabilities to compute combined cashflows for components. It also enables the ability to compute different economic metrics: Net Present Value (NPV), Internal Rate of Return (IRR), and Profitability Index (PI). More information on TEAL can be found at https://github.com/idaholab/TEAL. \n", + "\n", + "To run TEAL, first the user must build and install the RAVEN software package on their machine. Installation instructions for Mac, Linux, and Windows can be found here: https://github.com/idaholab/raven/wiki/installationMain. This will create a Python environment with all RAVEN and TEAL dependencies installed. \n", + "\n", + "To install TEAL, follow the instructions here: https://github.com/idaholab/raven/wiki/Plugins#registration-and-installation. \n", + "\n", + "Once RAVEN and TEAL are installed, the easiest way to integrate TEAL with DISPATCHES is to pip install DISPATCHES and all dependencies within the RAVEN Python environment (there will be future work in getting RAVEN installed as its own pip install-able package). First, activate the RAVEN environment (here referred to as ``raven_libraries``) and then install DISPATCHES as follows:\n", + "\n", + "```bash\n", + " # activate existing RAVEN python environment using conda\n", + " cd raven\n", " conda activate raven_libraries\n", "\n", " # load raven libraries (if on Windows and using Anaconda Prompt, run 'conda install m2-base' to get sh command)\n", " sh ./scripts/establish_conda_env.sh --load\n", "\n", + " # here, assuming that DISPATCHES and RAVEN are in same directory\n", " cd ../dispatches \n", "\n", " # usually got an SSL certificate error, fix is to add github to trusted hosts\n", " python -m pip install -r requirements-dev.txt --trusted-host=codeload.github.com\n", + "```\n", "\n", - " ```\n", - "\n", - "\n" + "Next, we import the required packages and functions needed for the formulation of the optimization problem." ] }, { @@ -152,58 +177,58 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-08-29 06:28:07 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-08-29 06:28:07 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:07 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:07 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-08-29 06:28:07 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:07 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-08-29 06:28:07 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:07 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:07 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-08-29 06:28:08 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:08 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:08 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:08 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-08-29 06:28:08 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:08 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-08-29 06:28:08 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:08 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:08 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:08 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:12 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-29 06:28:12 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "2022-09-16 06:12:37 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-09-16 06:12:37 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:37 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:37 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-09-16 06:12:37 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:37 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-09-16 06:12:37 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:37 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:37 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-09-16 06:12:38 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:38 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:38 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:38 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-09-16 06:12:38 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:38 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-09-16 06:12:38 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:38 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:38 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:38 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-09-16 06:12:38 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:38 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-09-16 06:12:38 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:38 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-09-16 06:12:39 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:39 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:39 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-16 06:12:39 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-09-16 06:12:39 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-09-16 06:12:39 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:39 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-09-16 06:12:39 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:39 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:39 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-09-16 06:12:39 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:39 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:12:41 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-16 06:12:41 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", "Degrees of freedom: 0\n", "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", "tol=1e-06\n", @@ -253,7 +278,7 @@ "Number of equality constraint Jacobian evaluations = 2\n", "Number of inequality constraint Jacobian evaluations = 0\n", "Number of Lagrangian Hessian evaluations = 1\n", - "Total seconds in IPOPT = 0.029\n", + "Total seconds in IPOPT = 0.007\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -261,7 +286,7 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.16513776779174805}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.09728717803955078}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, "execution_count": 3, @@ -468,6 +493,7 @@ "m.h2_price = 3 # Selling price of hydrogen: $3/kg\n", "m.h2_demand = 1 # Maximum amount of hydrogen that can be sold: 1 kg/s\n", "m.LMP = lmp_deterministic # LMP signal\n", + "m.stochastic = False\n", "m.weights_days = weights_days # number of days represented by each cluster" ] }, @@ -486,71 +512,73 @@ "execution_count": 8, "id": "1cf94ff3", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "LMP Data less than project life\n" - ] - } - ], + "outputs": [], "source": [ "# checking if number of years provided in data match plant_life\n", "import numpy as np\n", "\n", - "# list of available years in LMP data\n", - "years = list( m.LMP.keys() )\n", - "n_years_data = len(years)\n", - "\n", - "# template dictionary full of 0s, same structure as LMP\n", - "zeroDict = {cluster: {hour: 0\n", - " for hour in m.set_time} \n", - " for cluster in m.set_days}\n", - "\n", - "## CHECKING THAT WE HAVE ENOUGH DATA FOR SIM ##\n", - "\n", - "# Case where we have less data than the project life/sim time\n", - "# Here, we assume (as in the default nuclear case demo) that\n", - "# the years 2022-2031 all have the same LMP data, which\n", - "# helps to cut down on variables just for the demonstration\n", - "if n_years_data < m.plant_life:\n", - " print(\"LMP Data less than project life\")\n", - " projLifeRange = np.arange( years[0]-1, # year-1 is the construction year\n", - " years[0] + m.plant_life) # full project time with first year of data as starting point\n", - "\n", - " # initializing empty dicts and lists\n", - " newLMP = {} # going to replace existing LMP dictionary\n", - " newYearsVec = [] # list of years used\n", - " stuckYear = 0 # ugly way of duplicating years\n", - "\n", - " # looping through possible years in lifetime (e.g., 2021 -> 2041)\n", - " for i,y in enumerate(projLifeRange):\n", - " # data not available for given year within project lifetime\n", - " if y not in years:\n", - " if i == 0: # construction year\n", - " newLMP[y] = zeroDict\n", - " newYearsVec.append(0)\n", - " else: # duplicate previous year's values\n", - " newLMP[y] = newLMP[y-1]\n", - " newYearsVec.append(stuckYear)\n", - " # data for current year is available in LMP dict\n", - " else:\n", - " stuckYear = y # update year for duplication (word?)\n", - " newLMP[y] = m.LMP[y] # keep current LMP value\n", - " newYearsVec.append(y) # update current year\n", - " \n", - " # save to model object\n", - " m.LMP = newLMP\n", - " m.yearsFullVec = newYearsVec\n", - "\n", - "elif n_years_data > m.plant_life:\n", - " print(\"LMP Data more than project life, must curtail.\")\n", - " # TODO fill this out\n", - "else:\n", - " print(\"LMP Data matches project life\")\n", - " # TODO fill this out\n", - " # years.insert(0,0)" + "def restructure_LMP(m):\n", + " # list of available years in LMP data\n", + " if m.stochastic:\n", + " years = list(m.LMP[0].keys())\n", + " else:\n", + " years = list(m.LMP.keys())\n", + "\n", + " n_years_data = len(years)\n", + " set_scenarios = list( m.LMP.keys() ) if m.stochastic else [0]\n", + "\n", + " # template dictionary full of 0s, same structure as LMP\n", + " zeroDict = {cluster: {hour: 0\n", + " for hour in m.set_time} \n", + " for cluster in m.set_days}\n", + "\n", + " ## CHECKING THAT WE HAVE ENOUGH DATA FOR SIM ##\n", + "\n", + " # Case where we have less data than the project life/sim time\n", + " # Here, we assume (as in the default nuclear case demo) that\n", + " # the years 2022-2031 all have the same LMP data, which\n", + " # helps to cut down on variables just for the demonstration\n", + " if n_years_data < m.plant_life:\n", + " print(\"LMP Data less than project life\")\n", + " projLifeRange = np.arange( years[0]-1, # year-1 is the construction year\n", + " years[0] + m.plant_life) # full project time with first year of data as starting point\n", + "\n", + " # initializing empty dicts and lists\n", + " newLMP = {} # going to replace existing LMP dictionary\n", + "\n", + " for s in set_scenarios:\n", + " newYearsVec = [] # list of years used\n", + " stuckYear = 0 # ugly way of duplicating years\n", + " # looping through possible years in lifetime (e.g., 2021 -> 2041)\n", + " for i,y in enumerate(projLifeRange):\n", + " # data not available for given year within project lifetime\n", + " if y not in years:\n", + " if i == 0: # construction year\n", + " newLMP[y] = zeroDict\n", + " newYearsVec.append(0)\n", + " else: # duplicate previous year's values\n", + " newLMP[y] = newLMP[y-1]\n", + " newYearsVec.append(stuckYear)\n", + " # data for current year is available in LMP dict\n", + " else:\n", + " stuckYear = y # update year for duplication (word?)\n", + " newLMP[y] = m.LMP[y] if not m.stochastic else m.LMP[s][y] # keep current LMP value\n", + " newYearsVec.append(y) # update current year\n", + " \n", + " # save to model object\n", + " if m.stochastic:\n", + " m.LMP[s] = newLMP\n", + " else:\n", + " m.LMP = newLMP\n", + " m.yearsFullVec = newYearsVec\n", + "\n", + " elif n_years_data > m.plant_life:\n", + " print(\"LMP Data more than project life, must curtail.\")\n", + " # TODO fill this out\n", + " else:\n", + " print(\"LMP Data matches project life\")\n", + " # TODO fill this out\n", + " # years.insert(0,0)\n" ] }, { @@ -637,62 +665,63 @@ "text": [ "[ 0.00] Processing input information.\n", "[+ 0.00] Beginning the formulation of the multiperiod problem.\n", - "[+ 215.91] Completed the formulation of the multiperiod problem\n", - "2022-08-29 06:31:48 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-08-29 06:31:48 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:48 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:48 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:49 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-08-29 06:31:49 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:49 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-08-29 06:31:50 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:50 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:50 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:51 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", - "[+ 6.01] Created an instance of the flowsheet and initialized it.\n", - "[+ 27.33] Initialized the entire multiperiod optimization model.\n", - "[+ 0.68] Unfixed the degrees of freedom from each period model.\n" + "[+ 155.63] Completed the formulation of the multiperiod problem\n", + "2022-09-16 06:15:17 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-09-16 06:15:17 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:17 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:17 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-09-16 06:15:18 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:18 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-09-16 06:15:18 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:18 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:18 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-09-16 06:15:18 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:18 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:18 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:18 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-09-16 06:15:18 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:18 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-09-16 06:15:18 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:18 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:18 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:18 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-09-16 06:15:19 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:19 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-09-16 06:15:19 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:19 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-09-16 06:15:19 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:19 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:19 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-16 06:15:19 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-09-16 06:15:19 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-09-16 06:15:19 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:19 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-09-16 06:15:19 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:19 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:19 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-09-16 06:15:20 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:20 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:20 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-16 06:15:20 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-09-16 06:15:20 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:20 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-09-16 06:15:20 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:20 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-09-16 06:15:20 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-16 06:15:20 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-09-16 06:15:21 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:21 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-09-16 06:15:21 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:21 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:21 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-09-16 06:15:21 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:21 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:15:21 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-16 06:15:21 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "[+ 4.72] Created an instance of the flowsheet and initialized it.\n", + "[+ 19.50] Initialized the entire multiperiod optimization model.\n", + "[+ 0.38] Unfixed the degrees of freedom from each period model.\n", + "LMP Data less than project life\n" ] } ], @@ -704,7 +733,9 @@ " unfix_dof=unfix_dof,\n", " multiple_days=True,\n", " multiyear=True,\n", - " verbose=False)" + " verbose=False)\n", + "\n", + "restructure_LMP(m)" ] }, { @@ -913,15 +944,7 @@ "execution_count": 13, "id": "418b46b4", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "['pem|Lifetime', 'pem|Capex', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Lifetime', 'h2tank|Capex', 'h2turbine|Lifetime', 'h2turbine|Capex', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Lifetime', 'electricity_market|Hourly', 'h2_market|Lifetime', 'h2_market|Hourly']\n" - ] - } - ], + "outputs": [], "source": [ "import numpy as np\n", "import operator\n", @@ -952,15 +975,7 @@ " settings = CashFlows.GlobalSettings()\n", " settings.setParams(params)\n", " settings._verbosity = 0\n", - " return settings\n", - "\n", - "\n", - "# using full plant life = 20 yrs\n", - "# LMP signal only uses 2 years... need to resolve when creating recurring cash flows\n", - "tealSettings = build_econ_settings(components,\n", - " life=m.plant_life,\n", - " dr=m.discount_rate,\n", - " tax=m.tax_rate)" + " return settings" ] }, { @@ -1066,13 +1081,13 @@ "metadata": {}, "outputs": [], "source": [ - "def getCapexVarFromModel(comp, cfDict, mdl):\n", + "def getCapexVarFromModel(comp, cfDict, mdl, scenario):\n", " alpha = cfDict['Value']\n", " mults = cfDict['Multiplier']\n", " exprs = cfDict['Expressions']\n", " assert( len(mults)==len(exprs) ) # NOTE: Multiplier same length as Driver\n", "\n", - " pyomoExpr = [operator.attrgetter(exprs[i])(mdl) for i in range(len(exprs))]\n", + " pyomoExpr = [operator.attrgetter(exprs[i])(scenario) for i in range(len(exprs))]\n", " driver = [m*pexp for m, pexp in zip(mults, pyomoExpr)]\n", " driver = driver[0]\n", " return alpha, driver\n", @@ -1086,7 +1101,7 @@ "metadata": {}, "outputs": [], "source": [ - "def getDispatchVarFromModel(comp, cfDict, mdl):\n", + "def getDispatchVarFromModel(comp, cfDict, mdl, scenario, ind=None):\n", " alpha = cfDict['Value']\n", " mults = cfDict['Multiplier']\n", " exprs = cfDict['Expressions']\n", @@ -1098,13 +1113,13 @@ " n_years = len(mdl.set_years)\n", " n_projLife = mdl.plant_life + 1\n", "\n", - " yearsMaskArray = mdl.yearsFullVec # looks like [0, 2022, 2022, 2022, 2022, ... 2032, ... ]\n", + " yearsMapArray = mdl.yearsFullVec # looks like [0, 2022, 2022, 2022, 2022, ... 2032, ... ]\n", " \n", " n_hours_per_year = n_hours * n_days # sometimes number of days refers to clusters < 365\n", "\n", " dispatch_array = np.zeros((n_projLife, n_hours_per_year), dtype=object)\n", "\n", - " indeces = np.array([tuple(i) for i in mdl.period_index], dtype=\"i,i,i\")\n", + " indeces = np.array([tuple(i) for i in scenario.period_index], dtype=\"i,i,i\")\n", " time_shape = (n_years, n_hours_per_year) # reshaping the tuples array to match HERON dispatch\n", " indeces = indeces.reshape(time_shape)\n", "\n", @@ -1114,24 +1129,26 @@ " signal = mdl.LMP\n", "\n", " # # plus 1 to year term to allow for 0 recurring costs during build year\n", - " # alpha = np.zeros([n_projLife, n_hours_per_year])\n", + " alpha = np.zeros([n_projLife, n_hours_per_year])\n", " # it necessary to have alpha be [year, clusterhour] instead of [year, cluster, hour]\n", " # clusterhour loops through hours first, then cluster\n", - " alpha = [[signal[y][d][h] \\\n", - " for d in mdl.set_days\n", - " for h in mdl.set_time] # order here matches *indeces*\n", - " for y in mdl.LMP.keys()] #shape here is [year, hour]\n", + " if mdl.stochastic:\n", + " signal = signal[ind]\n", + " realized_alpha = [[signal[y][d][h] \\\n", + " for d in mdl.set_days\n", + " for h in mdl.set_time] # order here matches *indeces*\n", + " for y in mdl.yearsFullVec[1:]] #shape here is [year, hour]\n", " # # first column of year axis is 0 for project year 0\n", - " alpha = np.array(alpha)\n", - " # alpha[1:,:] = realized_alpha\n", + " realized_alpha = np.array(realized_alpha)\n", + " alpha[1:,:] = realized_alpha\n", "\n", " # TODO: check that all periods and LMPs match up...\n", " pcount = -1\n", - " for p, pyear in enumerate(yearsMaskArray):\n", + " for p, pyear in enumerate(yearsMapArray):\n", " if pyear == 0:\n", " continue\n", "\n", - " if pyear > yearsMaskArray[p-1]:\n", + " if pyear > yearsMapArray[p-1]:\n", " pcount +=1\n", "\n", " for time in range(n_hours_per_year):\n", @@ -1140,7 +1157,7 @@ " # e.g., turbine costs due to work done by turbine + compressor, separate variables\n", " dispatch_driver = 0\n", " for ds, dStr in enumerate(exprs):\n", - " dispatch_driver += operator.attrgetter(dStr)(mdl.period[ind])[0] * mults[ds]\n", + " dispatch_driver += operator.attrgetter(dStr)(scenario.period[ind])[0] * mults[ds]\n", "\n", " # getting weights for each day/cluster\n", " dy, yr = ind[1:]\n", @@ -1159,7 +1176,12 @@ "metadata": {}, "outputs": [], "source": [ - "def buildTealComponent(name, comp, mdl):\n", + "def buildTealComponent(name, comp, mdl, scenario=None, scenario_ind=None):\n", + "\n", + " # if scenario is None, we are doing LMP Deterministic\n", + " if scenario is None:\n", + " scenario = mdl\n", + "\n", " life = comp['Lifetime']\n", " projLife = len(mdl.set_years) + 1\n", " tealComp = CashFlows.Component()\n", @@ -1171,7 +1193,7 @@ "\n", " for cfName, cfDict in comp.items():\n", " if cfName == 'Capex':\n", - " alpha, driver = getCapexVarFromModel(comp, cfDict, mdl)\n", + " alpha, driver = getCapexVarFromModel(comp, cfDict, mdl, scenario)\n", " capex = createCapex(tealComp, alpha, driver, m.plant_life)\n", " cashFlows.append(capex)\n", "\n", @@ -1180,12 +1202,12 @@ " cashFlows.extend(amorts)\n", " \n", " elif cfName == 'FixedOM':\n", - " alpha, driver = getCapexVarFromModel(comp, cfDict, mdl)\n", + " alpha, driver = getCapexVarFromModel(comp, cfDict, mdl, scenario)\n", " fixedOM = createRecurringYearly(tealComp, alpha, driver, mdl.yearsFullVec)\n", " cashFlows.append(fixedOM)\n", " \n", " elif cfName == 'Hourly':\n", - " alpha, driver = getDispatchVarFromModel(comp, cfDict, mdl)\n", + " alpha, driver = getDispatchVarFromModel(comp, cfDict, mdl, scenario, scenario_ind)\n", " hourly = createRecurringHourly(tealComp, alpha, driver, m.plant_life)\n", " cashFlows.append(hourly)\n", " \n", @@ -1315,8 +1337,22 @@ "execution_count": 19, "id": "republican-diagnosis", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['pem|Lifetime', 'pem|Capex', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Lifetime', 'h2tank|Capex', 'h2turbine|Lifetime', 'h2turbine|Capex', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Lifetime', 'electricity_market|Hourly', 'h2_market|Lifetime', 'h2_market|Hourly']\n" + ] + } + ], "source": [ + "# using full plant life = 20 yrs\n", + "# LMP signal only uses 2 years... need to resolve when creating recurring cash flows\n", + "tealSettings = build_econ_settings(components,\n", + " life=m.plant_life,\n", + " dr=m.discount_rate,\n", + " tax=m.tax_rate)\n", "# Build the connecting constraints\n", "build_connecting_constraints(m, \n", " set_time=m.set_time, \n", @@ -1326,9 +1362,7 @@ "# Hydrogen demand constraint. divide the RHS by the molecular mass to convert kg/s to mol/s\n", "@m.Constraint(m.set_time, m.set_days, m.set_years)\n", "def hydrogen_demand_constraint(blk, t, d, y):\n", - " return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / 2.016e-3\n", - "\n", - "\n" + " return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / 2.016e-3" ] }, { @@ -1371,7 +1405,7 @@ "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", "CashFlow INFO (run): ==========================================================================================\n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1400,7 +1434,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1429,7 +1463,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1458,7 +1492,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -1484,7 +1518,7 @@ "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -1511,7 +1545,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1540,7 +1574,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1569,7 +1603,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1598,7 +1632,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1627,7 +1661,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1656,7 +1690,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1685,7 +1719,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -1711,7 +1745,7 @@ "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -1738,7 +1772,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: electricity_market \n", + "DEBUGG comp: electricity_market \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -1765,7 +1799,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2_market \n", + "DEBUGG comp: h2_market \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -2303,7 +2337,7 @@ "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", "CashFlow INFO (run): ==========================================================================================\n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2332,7 +2366,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2361,7 +2395,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2390,7 +2424,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -2416,7 +2450,7 @@ "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -2443,7 +2477,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2472,7 +2506,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2501,7 +2535,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2530,7 +2564,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2559,7 +2593,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2588,7 +2622,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2617,7 +2651,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -2643,7 +2677,7 @@ "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -2670,7 +2704,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: electricity_market \n", + "DEBUGG comp: electricity_market \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -2697,7 +2731,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2_market \n", + "DEBUGG comp: h2_market \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -3314,7 +3348,7 @@ "Number of equality constraint Jacobian evaluations = 81\n", "Number of inequality constraint Jacobian evaluations = 81\n", "Number of Lagrangian Hessian evaluations = 80\n", - "Total seconds in IPOPT = 256.985\n", + "Total seconds in IPOPT = 260.087\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -3322,7 +3356,7 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212160, 'Number of variables': 211203, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 259.56267189979553}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212160, 'Number of variables': 211203, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 262.2739043235779}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, "execution_count": 22, @@ -3331,24 +3365,13 @@ } ], "source": [ - "# Append cash flow expressions\n", - "# append_costs_and_revenue(m,\n", - "# ps=m,\n", - "# LMP=m.LMP)\n", - "\n", - "#=================================================\n", - "# tealComponentList = []\n", - "# for name, comp in components.items():\n", - "# tealComp = buildTealComponent(name, comp, m)\n", - "# tealComponentList.append(tealComp)\n", - "\n", + "# run TEAL to calculate pyomo expressions for cashflows and metrics\n", "metrics = RunCashFlow.run(tealSettings, tealComponentList, {}, pyomoVar=True)\n", "\n", "# Define the objective function\n", "m.obj = Objective(expr=metrics['NPV'], sense=maximize)\n", "\n", "#=================================================\n", - "# m.obj = Objective(expr=m.npv, sense=maximize)\n", "# Define the solver object. Using IPOPT\n", "solver = get_solver()\n", "\n", @@ -3565,6 +3588,7 @@ "m.h2_price = 3 # Selling price of hydrogen: $3/kg\n", "m.h2_demand = 1 # Maximum amount of hydrogen that can be sold: 1 kg/s\n", "m.LMP = lmp_stochastic # LMP signal\n", + "m.stochastic = True\n", "m.weights_days = weights_days # number of days represented by each cluster\n", "m.weights_scenarios = {0: 0.5, 1: 0.5} # Equal probability for both the scenarios" ] @@ -3589,62 +3613,62 @@ "text": [ "[ 0.00] Processing input information.\n", "[+ 0.00] Beginning the formulation of the multiperiod problem.\n", - "[+ 154.66] Completed the formulation of the multiperiod problem\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-08-29 06:40:36 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:36 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-08-29 06:40:36 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:36 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:36 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:39 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-29 06:40:39 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", - "[+ 4.33] Created an instance of the flowsheet and initialized it.\n", - "[+ 18.59] Initialized the entire multiperiod optimization model.\n", - "[+ 0.38] Unfixed the degrees of freedom from each period model.\n" + "[+ 164.07] Completed the formulation of the multiperiod problem\n", + "2022-09-16 06:23:51 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-09-16 06:23:51 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:51 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:51 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-09-16 06:23:51 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:51 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-09-16 06:23:51 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:51 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:51 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-09-16 06:23:52 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:52 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:52 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:52 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-09-16 06:23:52 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:52 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-09-16 06:23:52 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:52 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:52 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:52 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-09-16 06:23:52 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:52 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-09-16 06:23:52 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:52 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-09-16 06:23:53 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:53 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:53 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-16 06:23:53 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-09-16 06:23:53 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-09-16 06:23:53 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:53 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-09-16 06:23:53 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:53 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:53 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-09-16 06:23:53 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:53 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-09-16 06:23:55 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:55 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 06:23:55 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-16 06:23:55 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "[+ 4.41] Created an instance of the flowsheet and initialized it.\n", + "[+ 17.31] Initialized the entire multiperiod optimization model.\n", + "[+ 0.36] Unfixed the degrees of freedom from each period model.\n" ] } ], @@ -3673,301 +3697,2108 @@ "execution_count": 30, "id": "elder-victoria", "metadata": {}, - "outputs": [], - "source": [ - "for s in m.set_scenarios:\n", - " # Build the connecting constraints\n", - " build_connecting_constraints(m.scenario[s], \n", - " set_time=m.set_time, \n", - " set_days=m.set_days,\n", - " set_years=m.set_years)\n", - "\n", - " # Append cash flow expressions\n", - " append_costs_and_revenue(m.scenario[s],\n", - " ps=m,\n", - " LMP=m.LMP[s])\n", - " \n", - " # Hydrogen demand constraint. \n", - " # Divide the RHS by the molecular mass to convert kg/s to mol/s\n", - " obj = m.scenario[s]\n", - " @obj.Constraint(m.set_time, m.set_days, m.set_years)\n", - " def hydrogen_demand_constraint(blk, t, d, y):\n", - " return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / 2.016e-3" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "suburban-radar", - "metadata": {}, - "outputs": [], - "source": [ - "# Add non-anticipativity constraints\n", - "m.pem_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Design PEM capacity (in kW)\")\n", - "m.tank_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Design tank capacity (in mol)\")\n", - "m.h2_turbine_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Design turbine capacity (in W)\")\n", - "\n", - "@m.Constraint(m.set_scenarios)\n", - "def non_anticipativity_pem(blk, s):\n", - " return blk.pem_capacity == blk.scenario[s].pem_capacity\n", - "\n", - "@m.Constraint(m.set_scenarios)\n", - "def non_anticipativity_tank(blk, s):\n", - " return blk.tank_capacity == blk.scenario[s].tank_capacity\n", - "\n", - "@m.Constraint(m.set_scenarios)\n", - "def non_anticipativity_turbine(blk, s):\n", - " return blk.h2_turbine_capacity == blk.scenario[s].h2_turbine_capacity" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "id": "liberal-riverside", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", - "tol=1e-06\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.14.7, running with linear solver MUMPS 5.5.0.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 580772\n", - "Number of nonzeros in inequality constraint Jacobian.: 7680\n", - "Number of nonzeros in Lagrangian Hessian.............: 195840\n", - "\n", - "Total number of variables............................: 211209\n", - " variables with only lower bounds: 20169\n", - " variables with lower and upper bounds: 176640\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 208326\n", - "Total number of inequality constraints...............: 3840\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 3840\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -1.2559159e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -1.5355493e+09 1.94e+05 2.06e+04 -1.0 2.80e+06 - 2.43e-03 8.89e-01f 1\n", - " 2 -1.5732609e+09 7.89e+03 1.24e+04 -1.0 5.04e+05 - 6.39e-04 9.90e-01f 1\n", - " 3 -1.5737278e+09 2.33e+02 4.40e+03 -1.0 1.01e+04 - 4.84e-01 9.71e-01f 1\n", - " 4 -1.5737296e+09 2.21e+02 1.17e+04 -1.0 2.04e+02 - 2.69e-02 5.23e-02f 4\n", - " 5 -1.5737432e+09 1.14e+02 1.23e+04 -1.0 1.02e+03 - 6.74e-03 4.98e-01f 1\n", - " 6 -1.5737728e+09 1.29e+01 5.26e+03 -1.0 3.95e+02 - 7.84e-01 9.92e-01h 1\n", - " 7 -1.5737782e+09 1.23e+00 1.13e+06 -1.0 3.37e+01 -4.0 5.46e-01 1.00e+00f 1\n", - " 8 -1.5740225e+09 1.35e+00 3.90e+06 -1.0 8.84e+02 - 5.47e-01 1.00e+00f 1\n", - " 9 -1.5747652e+09 3.14e+00 3.72e+06 -1.0 2.68e+03 - 4.76e-02 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -1.5747859e+09 4.29e-02 2.22e+06 -1.0 1.68e+02 -4.5 4.04e-01 1.00e+00f 1\n", - " 11 -1.5767248e+09 4.49e-02 2.19e+06 -1.0 1.49e+04 - 1.14e-02 1.00e+00f 1\n", - " 12 -1.5791179e+09 4.25e-01 1.99e+06 -1.0 2.27e+04 - 9.09e-02 6.91e-01f 1\n", - " 13 -1.5841947e+09 5.01e-01 1.80e+06 -1.0 3.51e+04 - 9.63e-02 7.93e-01f 1\n", - " 14 -1.5975256e+09 4.62e-02 1.62e+06 -1.0 6.32e+04 - 1.01e-01 1.00e+00f 1\n", - " 15 -1.5976020e+09 1.59e-04 4.60e+05 -1.0 3.29e+02 -5.0 7.16e-01 1.00e+00f 1\n", - " 16 -1.5976057e+09 3.03e-08 4.60e+03 -1.0 1.67e+01 -3.6 9.90e-01 1.00e+00f 1\n", - " 17 -1.6299658e+09 1.76e-04 4.59e+03 -1.0 2.61e+07 - 1.03e-03 4.68e-03f 1\n", - " 18 -1.6299700e+09 7.39e-06 4.57e+01 -1.0 1.86e+01 -3.7 9.90e-01 1.00e+00f 1\n", - " 19 -1.6303305e+09 1.10e-04 4.56e+01 -1.0 2.97e+07 - 2.20e-03 3.61e-03f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20 -1.6305480e+09 1.93e-04 4.55e+01 -1.0 3.36e+07 - 2.13e-03 3.05e-03f 1\n", - " 21 -1.6306623e+09 2.96e-04 4.54e+01 -1.0 3.01e+07 - 2.40e-03 3.45e-03f 1\n", - " 22 -1.6307205e+09 4.19e-04 4.53e+01 -1.0 2.65e+07 - 3.49e-03 3.85e-03f 1\n", - " 23 -1.6307870e+09 9.58e-04 4.51e+01 -1.0 1.49e+07 - 2.81e-03 8.68e-03f 1\n", - " 24 -1.6307920e+09 4.56e-05 1.14e+01 -1.0 2.74e+01 -3.8 9.94e-01 1.00e+00f 1\n", - " 25 -1.6308272e+09 4.50e-05 6.51e+04 -1.7 1.21e+07 - 3.96e-03 1.21e-02f 1\n", - " 26 -1.6308337e+09 5.88e-05 6.44e+04 -1.7 2.02e+06 - 1.06e-02 5.31e-03f 1\n", - " 27 -1.6308503e+09 1.02e-04 6.43e+04 -1.7 3.06e+07 - 1.06e-03 5.30e-03f 1\n", - " 28 -1.6308610e+09 1.49e-04 6.40e+04 -1.7 1.74e+07 - 5.42e-03 5.72e-03f 1\n", - " 29 -1.6308774e+09 2.51e-05 2.97e+05 -1.7 7.43e+01 -4.3 9.37e-01 9.73e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30 -1.6308829e+09 2.54e-07 4.41e-03 -1.7 2.98e+01 -3.8 1.00e+00 1.00e+00f 1\n", - " 31 -1.6308832e+09 2.49e-07 1.06e+06 -3.8 7.49e+01 -4.3 5.55e-01 2.21e-02f 1\n", - " 32 -1.6308993e+09 5.03e-06 1.06e+06 -3.8 9.29e+07 - 5.21e-04 1.59e-03f 1\n", - " 33 -1.6309009e+09 3.92e-06 7.47e+05 -3.8 1.53e+02 -4.4 1.24e-01 2.16e-01f 1\n", - " 34 -1.6309016e+09 2.95e-06 4.98e+05 -3.8 6.68e+01 -3.9 1.60e-01 2.45e-01f 1\n", - " 35 -1.6309021e+09 2.04e-06 2.90e+05 -3.8 3.15e+01 -3.5 2.27e-01 3.09e-01f 1\n", - " 36 -1.6309021e+09 1.99e-06 3.67e+05 -3.8 9.06e+01 -4.0 1.87e-01 2.21e-02f 1\n", - " 37 -1.6309023e+09 1.69e-06 2.87e+05 -3.8 3.43e+01 -3.6 9.14e-02 1.51e-01f 1\n", - " 38 -1.6309026e+09 1.50e-06 2.36e+05 -3.8 7.31e+01 -4.0 6.09e-02 1.12e-01f 1\n", - " 39 -1.6309027e+09 1.34e-06 2.82e+05 -3.8 2.78e+01 -3.6 3.14e-01 1.07e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40 -1.6309203e+09 2.56e-06 2.82e+05 -3.8 3.75e+08 - 1.65e-04 3.57e-04f 1\n", - " 41 -1.6309289e+09 2.94e-06 2.82e+05 -3.8 4.30e+08 - 1.89e-04 1.81e-04f 1\n", - " 42 -1.6309290e+09 2.28e-06 2.19e+05 -3.8 2.12e+01 -3.2 2.26e-01 2.24e-01f 1\n", - " 43 -1.6309292e+09 1.90e-06 1.73e+05 -3.8 3.41e+01 -3.7 1.10e-01 1.65e-01f 1\n", - " 44 -1.6309294e+09 1.74e-06 1.65e+05 -3.8 7.76e+01 -4.2 1.23e-01 8.39e-02f 1\n", - " 45 -1.6309295e+09 1.65e-06 1.75e+05 -3.8 3.81e+01 -3.8 1.90e-01 5.46e-02f 1\n", - " 46 -1.6309297e+09 1.46e-06 1.63e+05 -3.8 8.50e+01 -4.2 1.76e-01 1.12e-01f 1\n", - " 47 -1.6309298e+09 1.26e-06 1.80e+05 -3.8 3.17e+01 -3.8 5.44e-01 1.34e-01f 1\n", - " 48 -1.6309300e+09 8.34e-07 1.17e+05 -3.8 1.17e+01 -3.4 2.74e-01 3.38e-01f 1\n", - " 49 -1.6309300e+09 7.47e-07 1.15e+05 -3.8 2.64e+01 -3.9 4.25e-01 1.04e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50 -1.6309389e+09 1.04e-06 1.15e+05 -3.8 1.52e+09 - 3.37e-05 4.19e-05f 1\n", - " 51 -1.6309391e+09 8.37e-07 9.78e+04 -3.8 3.03e+01 -3.9 4.86e-01 1.94e-01f 1\n", - " 52 -1.6309514e+09 1.01e-06 9.78e+04 -3.8 4.88e+09 - 1.44e-05 2.53e-05f 1\n", - " 53 -1.6309515e+09 9.09e-07 9.39e+04 -3.8 2.90e+01 -4.0 7.11e-01 9.90e-02f 1\n", - " 54 -1.6309644e+09 1.34e-06 9.39e+04 -3.8 4.32e+09 - 1.46e-05 3.07e-05f 1\n", - " 55 -1.6309645e+09 3.56e-07 2.62e+04 -3.8 4.40e+00 -3.1 1.00e+00 7.29e-01f 1\n", - " 56 -1.6309645e+09 2.87e-07 2.11e+04 -3.8 1.10e+01 -3.6 6.23e-01 1.94e-01f 1\n", - " 57 -1.6309646e+09 1.94e-07 1.43e+04 -3.8 3.88e+00 -3.2 1.00e+00 3.23e-01f 1\n", - " 58 -1.6309646e+09 1.53e-07 1.13e+04 -3.8 1.16e+01 -3.6 9.44e-01 2.07e-01f 1\n", - " 59 -1.6309711e+09 3.04e-07 1.13e+04 -3.8 3.38e+09 - 2.22e-05 2.59e-05f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60 -1.6309711e+09 2.57e-07 9.60e+03 -3.8 1.29e+01 -3.7 1.00e+00 1.54e-01f 1\n", - " 61 -1.6309842e+09 5.97e-07 9.60e+03 -3.8 3.50e+09 - 1.56e-05 4.05e-05f 1\n", - " 62 -1.6309932e+09 6.81e-07 9.60e+03 -3.8 4.45e+09 - 1.64e-05 1.92e-05f 1\n", - " 63 -1.6309997e+09 8.22e-07 9.60e+03 -3.8 4.75e+09 - 1.59e-05 2.47e-05f 1\n", - " 64 -1.6309998e+09 5.85e-10 2.64e-03 -3.8 2.58e-01 -2.0 1.00e+00 1.00e+00f 1\n", - " 65 -1.6309998e+09 6.93e-10 3.72e-01 -3.8 7.75e-01 -2.5 1.00e+00 9.17e-01f 1\n", - " 66 -1.6310042e+09 2.83e-07 3.72e-01 -3.8 3.25e+09 - 2.36e-05 3.68e-05f 1\n", - " 67 -1.6310082e+09 5.39e-07 3.72e-01 -3.8 3.54e+09 - 1.51e-05 3.50e-05f 1\n", - " 68 -1.6310109e+09 7.07e-07 3.72e-01 -3.8 3.33e+09 - 2.20e-05 2.84e-05f 1\n", - " 69 -1.6310123e+09 9.67e-07 3.72e-01 -3.8 7.99e+08 - 7.84e-05 3.53e-05f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70 -1.6310124e+09 9.00e-07 1.76e+01 -3.8 2.29e+01 -3.9 9.41e-01 6.94e-02f 1\n", - " 71 -1.6310213e+09 2.95e-05 1.74e+01 -3.8 4.91e+08 - 4.48e-05 3.55e-04f 1\n", - " 72 -1.6310214e+09 2.58e-05 3.87e+01 -3.8 2.49e+01 -4.0 1.00e+00 1.24e-01f 1\n", - " 73 -1.6310215e+09 1.81e-05 2.63e+01 -3.8 9.29e+00 -3.6 1.00e+00 2.99e-01f 1\n", - " 74 -1.6310301e+09 3.65e-04 2.44e+01 -3.8 3.15e+07 - 2.41e-04 1.23e-03f 1\n", - " 75 -1.6310316e+09 3.65e-04 2.43e+01 -3.8 3.27e+09 - 1.43e-05 4.58e-05f 1\n", - " 76 -1.6310325e+09 3.66e-04 2.43e+01 -3.8 1.46e+09 - 5.60e-05 7.21e-05f 1\n", - " 77 -1.6310329e+09 3.68e-04 2.62e+01 -3.8 9.93e+07 - 1.18e-03 8.66e-05f 1\n", - " 78 -1.6310337e+09 3.72e-04 2.60e+01 -3.8 1.63e+09 - 3.97e-06 1.17e-04f 1\n", - " 79 -1.6310337e+09 2.86e-04 5.62e+01 -3.8 7.08e-01 -1.9 7.89e-01 2.32e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80 -1.6310337e+09 2.77e-04 1.52e+01 -3.8 6.40e-01 -2.4 1.00e+00 3.18e-02f 1\n", - " 81 -1.6310337e+09 1.30e-04 7.41e+00 -3.8 1.91e+00 -2.9 1.00e+00 5.32e-01f 1\n", - " 82 -1.6310389e+09 1.51e-03 7.43e+00 -3.8 3.06e+06 - 1.47e-03 2.37e-03f 1\n", - " 83 -1.6310395e+09 1.52e-03 7.43e+00 -3.8 1.09e+09 - 1.09e-05 1.70e-04f 1\n", - " 84 -1.6310423e+09 2.77e-03 7.33e+00 -3.8 3.82e+05 - 4.71e-03 2.01e-03f 1\n", - " 85 -1.6310450e+09 4.52e-03 7.27e+00 -3.8 2.08e+05 - 4.44e-03 3.69e-03f 1\n", - " 86 -1.6310478e+09 8.31e-03 7.20e+00 -3.8 1.20e+05 - 7.70e-03 7.13e-03f 1\n", - " 87 -1.6310479e+09 8.03e-03 1.11e+02 -3.8 4.01e+01 -4.4 3.51e-01 3.35e-02f 1\n", - " 88 -1.6310479e+09 7.82e-03 9.18e+02 -3.8 5.19e+01 -4.8 1.00e+00 2.64e-02f 1\n", - " 89 -1.6310501e+09 1.10e-02 9.01e+02 -3.8 5.37e+04 - 2.14e-02 1.89e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90 -1.6310506e+09 1.09e-02 8.88e+02 -3.8 2.30e+04 - 4.73e-02 1.75e-02f 1\n", - " 91 -1.6310510e+09 1.04e-02 8.53e+02 -3.8 1.04e+04 - 1.59e-01 4.45e-02f 1\n", - " 92 -1.6310511e+09 1.23e-03 1.89e+02 -3.8 1.90e+01 -3.1 1.00e+00 9.33e-01f 1\n", - " 93 -1.6310514e+09 6.62e-03 4.39e+02 -3.8 4.48e+03 - 2.58e-01 6.57e-02f 1\n", - " 94 -1.6310516e+09 2.93e-02 5.48e+02 -3.8 1.27e+03 - 3.41e-01 2.44e-01f 1\n", - " 95 -1.6310516e+09 1.32e-02 5.34e+02 -3.8 2.28e+01 -3.7 7.80e-01 5.47e-01f 1\n", - " 96 -1.6310516e+09 4.97e-03 3.02e+02 -3.8 2.51e+00 -4.1 9.84e-01 6.21e-01f 1\n", - " 97 -1.6310517e+09 1.55e-02 1.38e+02 -3.8 2.94e+02 - 1.00e+00 5.30e-01f 1\n", - " 98 -1.6310517e+09 1.27e-02 4.54e+02 -3.8 5.37e+01 - 4.79e-02 1.00e+00f 1\n", - " 99 -1.6310517e+09 3.21e-03 2.71e-03 -3.8 1.65e+01 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100 -1.6310517e+09 2.31e-07 5.27e-05 -3.8 7.31e-02 -3.8 1.00e+00 1.00e+00h 1\n", - " 101 -1.6310517e+09 2.84e-04 9.37e+01 -5.7 8.43e+01 - 6.25e-01 3.21e-01f 1\n", - " 102 -1.6310518e+09 2.91e-04 5.13e+01 -5.7 3.64e+01 - 3.21e-01 3.77e-01f 1\n", - " 103 -1.6310518e+09 2.61e-04 8.49e+01 -5.7 2.14e+01 - 5.02e-01 1.04e-01f 1\n", - " 104 -1.6310518e+09 1.91e-04 4.97e+01 -5.7 1.68e+01 - 1.04e-01 2.72e-01f 1\n", - " 105 -1.6310518e+09 9.64e-05 2.20e+01 -5.7 1.06e+01 - 2.69e-01 4.47e-01f 1\n", - " 106 -1.6310518e+09 5.22e-05 1.72e+01 -5.7 5.44e+00 - 6.03e-01 3.84e-01f 1\n", - " 107 -1.6310518e+09 2.45e-05 5.53e+04 -5.7 1.49e+00 -4.8 1.07e-01 5.01e-01f 1\n", - " 108 -1.6310518e+09 9.80e-06 2.32e+04 -5.7 3.45e-01 -4.4 1.00e+00 5.83e-01f 1\n", - " 109 -1.6310518e+09 1.57e-06 5.72e+03 -5.7 8.84e-01 -4.9 1.00e+00 7.51e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110 -1.6310518e+09 1.11e-06 4.74e+03 -5.7 9.57e+00 - 8.20e-02 1.72e-01f 1\n", - " 111 -1.6310518e+09 7.41e-07 3.28e+03 -5.7 1.33e+00 - 3.81e-01 3.07e-01f 1\n", - " 112 -1.6310518e+09 1.89e-07 6.77e+02 -5.7 3.80e-01 - 1.00e+00 7.95e-01f 1\n", - " 113 -1.6310518e+09 3.31e-09 5.45e-07 -5.7 7.25e-02 - 1.00e+00 1.00e+00f 1\n", - " 114 -1.6310518e+09 1.34e-09 7.10e+01 -7.0 4.08e-01 - 1.00e+00 5.95e-01f 1\n", - " 115 -1.6310518e+09 5.95e-10 3.52e-06 -7.0 1.63e-01 - 1.00e+00 1.00e+00f 1\n", - " 116 -1.6310518e+09 7.84e-10 1.08e-12 -7.0 2.13e-04 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 116\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: -3.7401907403570734e+07 -1.6310517839609082e+09\n", - "Dual infeasibility......: 1.0820077830755358e-12 4.7185046094105214e-11\n", - "Constraint violation....: 1.1641532182693481e-10 7.8449113871670306e-10\n", - "Variable bound violation: 6.2884182240770248e-09 6.2884182240770248e-09\n", - "Complementarity.........: 9.0912040120645205e-08 3.9645637219065363e-06\n", - "Overall NLP error.......: 9.0912040120645205e-08 3.9645637219065363e-06\n", - "\n", - "\n", - "Number of objective function evaluations = 120\n", - "Number of objective gradient evaluations = 117\n", - "Number of equality constraint evaluations = 120\n", - "Number of inequality constraint evaluations = 120\n", - "Number of equality constraint Jacobian evaluations = 117\n", - "Number of inequality constraint Jacobian evaluations = 117\n", - "Number of Lagrangian Hessian evaluations = 116\n", - "Total seconds in IPOPT = 366.450\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "data": { - "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212166, 'Number of variables': 211209, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 368.75286197662354}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Define the objective function\n", - "m.obj = Objective(expr=sum(m.weights_scenarios[s] * m.scenario[s].npv\n", - " for s in m.set_scenarios), \n", - " sense=maximize)\n", - "\n", - "# Define the solver object. Using the default solver: IPOPT\n", - "solver = get_solver()\n", - "\n", - "# Solve the optimization problem\n", - "solver.solve(m, tee=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "id": "civil-celebration", - "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Optimal PEM capacity : 196.2616021918545 MW\n", - "Optimal tank capacity : 1.4179083742965303e-05 kg\n", - "OPtimal turbine capacity: 9.0763746194857e-05 MW\n" - ] - } - ], - "source": [ - "# Print Results\n", - "print(\"Optimal PEM capacity : \", m.pem_capacity.value * 1e-3, \"MW\")\n", - "print(\"Optimal tank capacity : \", m.tank_capacity.value * 2.016e-3, \"kg\")\n", - "print(\"OPtimal turbine capacity: \", m.h2_turbine_capacity.value * 1e-6, \"MW\")" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "id": "protecting-asthma", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", + "['pem|Lifetime', 'pem|Capex', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Lifetime', 'h2tank|Capex', 'h2turbine|Lifetime', 'h2turbine|Capex', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Lifetime', 'electricity_market|Hourly', 'h2_market|Lifetime', 'h2_market|Hourly']\n", + "LMP Data less than project life\n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", + " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", + " 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", + " 0. 0. 0.]\n", + "DEBUGG cRH life: pem 21\n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", + " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", + " 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", + " 0. 0. 0.]\n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", + " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", + " 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", + " 0. 0. 0.]\n", + "DEBUGG cRH life: h2turbine 21\n", + "DEBUGG cRH life: electricity_market 21\n", + "DEBUGG cRH life: h2_market 21\n", + "CashFlow INFO (run): Starting CashFlow Run ...\n", + "CashFlow INFO (run): ... Checking if all drivers present ...\n", + "CashFlow INFO (checkDrivers): ... creating evaluation sequence ...\n", + "CashFlow INFO (checkDrivers): ... evaluation sequence: ['pem|Cap', 'pem|pem_amortize_Cap', 'pem|pem_depreciate_Cap', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Cap', 'h2tank|h2tank_amortize_Cap', 'h2tank|h2tank_depreciate_Cap', 'h2turbine|Cap', 'h2turbine|h2turbine_amortize_Cap', 'h2turbine|h2turbine_depreciate_Cap', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Hourly', 'h2_market|Hourly']\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2tank \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2tank \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2tank \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: electricity_market \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2_market \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Project Lifetime Cashflow Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): ... project length: 21 years\n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"pem\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_depreciate_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"FixedOM\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2tank\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_depreciate_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2turbine\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2turbine_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2turbine_depreciate_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"FixedOM\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"electricity_market\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"electricity_market\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2_market\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2_market\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Economic Indicator Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (FCFF): FCFF yearly (not discounted):\n", + "CashFlow INFO (FCFF): year, FCFF\n", + "CashFlow INFO (FCFF): 0: \n", + "CashFlow INFO (FCFF): 1: \n", + "CashFlow INFO (FCFF): 2: \n", + "CashFlow INFO (FCFF): 3: \n", + "CashFlow INFO (FCFF): 4: \n", + "CashFlow INFO (FCFF): 5: \n", + "CashFlow INFO (FCFF): 6: \n", + "CashFlow INFO (FCFF): 7: \n", + "CashFlow INFO (FCFF): 8: \n", + "CashFlow INFO (FCFF): 9: \n", + "CashFlow INFO (FCFF): 10: \n", + "CashFlow INFO (FCFF): 11: \n", + "CashFlow INFO (FCFF): 12: \n", + "CashFlow INFO (FCFF): 13: \n", + "CashFlow INFO (FCFF): 14: \n", + "CashFlow INFO (FCFF): 15: \n", + "CashFlow INFO (FCFF): 16: \n", + "CashFlow INFO (FCFF): 17: \n", + "CashFlow INFO (FCFF): 18: \n", + "CashFlow INFO (FCFF): 19: \n", + "CashFlow INFO (FCFF): 20: \n", + "CashFlow INFO (NPV): ... NPV: \n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", + " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", + " 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", + " 0. 0. 0.]\n", + "DEBUGG cRH life: pem 21\n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", + " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", + " 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", + " 0. 0. 0.]\n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", + " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", + " 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", + " 0. 0. 0.]\n", + "DEBUGG cRH life: h2turbine 21\n", + "DEBUGG cRH life: electricity_market 21\n", + "DEBUGG cRH life: h2_market 21\n", + "CashFlow INFO (run): Starting CashFlow Run ...\n", + "CashFlow INFO (run): ... Checking if all drivers present ...\n", + "CashFlow INFO (checkDrivers): ... creating evaluation sequence ...\n", + "CashFlow INFO (checkDrivers): ... evaluation sequence: ['pem|Cap', 'pem|pem_amortize_Cap', 'pem|pem_depreciate_Cap', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Cap', 'h2tank|h2tank_amortize_Cap', 'h2tank|h2tank_depreciate_Cap', 'h2turbine|Cap', 'h2turbine|h2turbine_amortize_Cap', 'h2turbine|h2turbine_depreciate_Cap', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Hourly', 'h2_market|Hourly']\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: pem \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2tank \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2tank \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2tank \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2turbine \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: electricity_market \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "DEBUGG comp: h2_market \n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Project Lifetime Cashflow Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): ... project length: 21 years\n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"pem\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_depreciate_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"FixedOM\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2tank\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_depreciate_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2turbine\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow 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Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"FixedOM\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", 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Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"electricity_market\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2_market\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2_market\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow 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FCFF\n", + "CashFlow INFO (FCFF): 0: \n", + "CashFlow INFO (FCFF): 1: \n", + "CashFlow INFO (FCFF): 2: \n", + "CashFlow INFO (FCFF): 3: \n", + "CashFlow INFO (FCFF): 4: \n", + "CashFlow INFO (FCFF): 5: \n", + "CashFlow INFO (FCFF): 6: \n", + "CashFlow INFO (FCFF): 7: \n", + "CashFlow INFO (FCFF): 8: \n", + "CashFlow INFO (FCFF): 9: \n", + "CashFlow INFO (FCFF): 10: \n", + "CashFlow INFO (FCFF): 11: \n", + "CashFlow INFO (FCFF): 12: \n", + "CashFlow INFO (FCFF): 13: \n", + "CashFlow INFO (FCFF): 14: \n", + "CashFlow INFO (FCFF): 15: \n", + "CashFlow INFO (FCFF): 16: \n", + "CashFlow INFO (FCFF): 17: \n", + "CashFlow INFO (FCFF): 18: \n", + "CashFlow INFO (FCFF): 19: \n", + "CashFlow INFO (FCFF): 20: \n", + "CashFlow INFO (NPV): ... NPV: \n" + ] + } + ], + "source": [ + "# using full plant life = 20 yrs\n", + "# LMP signal only uses 2 years... need to resolve when creating recurring cash flows\n", + "tealSettings = build_econ_settings(components,\n", + " life=m.plant_life,\n", + " dr=m.discount_rate,\n", + " tax=m.tax_rate)\n", + "restructure_LMP(m)\n", + "metrics_list = []\n", + "for s in m.set_scenarios:\n", + " # Build the connecting constraints\n", + " build_connecting_constraints(m.scenario[s], \n", + " set_time=m.set_time, \n", + " set_days=m.set_days,\n", + " set_years=m.set_years)\n", + "\n", + " # Append cash flow expressions\n", + " tealComponentList = []\n", + " for name, comp in components.items():\n", + " tealComp = buildTealComponent(name, comp, m, m.scenario[s], s)\n", + " tealComponentList.append(tealComp)\n", + "\n", + " metrics_list.append(RunCashFlow.run(tealSettings, tealComponentList, {}, pyomoVar=True))\n", + " \n", + " # Hydrogen demand constraint. \n", + " # Divide the RHS by the molecular mass to convert kg/s to mol/s\n", + " obj = m.scenario[s]\n", + " @obj.Constraint(m.set_time, m.set_days, m.set_years)\n", + " def hydrogen_demand_constraint(blk, t, d, y):\n", + " return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / 2.016e-3" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "suburban-radar", + "metadata": {}, + "outputs": [], + "source": [ + "# Add non-anticipativity constraints\n", + "m.pem_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Design PEM capacity (in kW)\")\n", + "m.tank_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Design tank capacity (in mol)\")\n", + "m.h2_turbine_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Design turbine capacity (in W)\")\n", + "\n", + "@m.Constraint(m.set_scenarios)\n", + "def non_anticipativity_pem(blk, s):\n", + " return blk.pem_capacity == blk.scenario[s].pem_capacity\n", + "\n", + "@m.Constraint(m.set_scenarios)\n", + "def non_anticipativity_tank(blk, s):\n", + " return blk.tank_capacity == blk.scenario[s].tank_capacity\n", + "\n", + "@m.Constraint(m.set_scenarios)\n", + "def non_anticipativity_turbine(blk, s):\n", + " return blk.h2_turbine_capacity == blk.scenario[s].h2_turbine_capacity" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "liberal-riverside", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\ipykernel_launcher.py:3: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.fromiter(generator)) or the python sum builtin instead.\n", + " This is separate from the ipykernel package so we can avoid doing imports until\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", + "tol=1e-06\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.14.7, running with linear solver MUMPS 5.5.0.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 580772\n", + "Number of nonzeros in inequality constraint Jacobian.: 7680\n", + "Number of nonzeros in Lagrangian Hessian.............: 195840\n", + "\n", + "Total number of variables............................: 211209\n", + " variables with only lower bounds: 20169\n", + " variables with lower and upper bounds: 176640\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 208326\n", + "Total number of inequality constraints...............: 3840\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 3840\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -1.2652887e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -1.5469495e+09 1.94e+05 2.06e+04 -1.0 2.80e+06 - 2.43e-03 8.89e-01f 1\n", + " 2 -1.5843763e+09 7.89e+03 1.24e+04 -1.0 5.04e+05 - 6.40e-04 9.90e-01f 1\n", + " 3 -1.5848203e+09 2.33e+02 4.40e+03 -1.0 1.01e+04 - 4.84e-01 9.71e-01f 1\n", + " 4 -1.5848404e+09 1.61e+01 8.00e+03 -1.0 7.59e+01 - 1.06e-02 9.33e-01f 1\n", + " 5 -1.5848392e+09 1.63e+01 7.94e+03 -1.0 8.54e+03 - 9.13e-04 3.71e-02f 1\n", + " 6 -1.5848442e+09 1.53e+01 6.79e+03 -1.0 9.00e+02 - 3.36e-02 7.28e-01f 1\n", + " 7 -1.5848491e+09 1.18e+00 3.83e+04 -1.0 7.70e+01 -4.5 9.24e-01 1.00e+00h 1\n", + " 8 -1.5849990e+09 2.70e+00 4.97e+06 -1.0 1.13e+03 - 4.78e-01 1.00e+00f 1\n", + " 9 -1.5853741e+09 2.90e+00 4.92e+06 -1.0 2.08e+03 - 1.07e-02 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -1.5858830e+09 1.58e+00 4.55e+06 -1.0 9.60e+03 - 7.60e-02 1.00e+00f 1\n", + " 11 -1.5866189e+09 5.81e-01 3.78e+06 -1.0 1.22e+04 - 1.70e-01 1.00e+00f 1\n", + " 12 -1.5866530e+09 7.28e-04 1.81e+06 -1.0 3.52e+02 -5.0 5.20e-01 1.00e+00f 1\n", + " 13 -1.5885355e+09 3.41e-01 1.79e+06 -1.0 3.71e+04 - 1.46e-02 6.02e-01f 1\n", + " 14 -1.5916854e+09 6.04e-02 1.65e+06 -1.0 4.31e+04 - 7.66e-02 5.71e-01f 1\n", + " 15 -1.5994591e+09 9.82e-02 1.51e+06 -1.0 6.36e+04 - 8.39e-02 7.67e-01f 1\n", + " 16 -1.6220924e+09 9.04e-02 1.37e+06 -1.0 1.29e+05 - 9.15e-02 1.00e+00f 1\n", + " 17 -1.6255201e+09 8.48e-02 1.24e+06 -1.0 2.89e+05 - 9.45e-02 6.29e-02f 1\n", + " 18 -1.6255546e+09 8.43e-02 8.42e+05 -1.0 6.64e+04 - 3.23e-01 5.66e-03f 1\n", + " 19 -1.6255554e+09 8.07e-05 1.82e+05 -1.0 4.81e+01 -4.6 7.84e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 -1.6255556e+09 4.09e-09 1.82e+03 -1.0 2.40e+01 -4.2 9.90e-01 1.00e+00f 1\n", + " 21 -1.6256284e+09 1.62e-04 1.80e+03 -1.0 7.90e+06 - 8.90e-03 1.28e-02f 1\n", + " 22 -1.6256655e+09 4.06e-04 1.78e+03 -1.0 5.67e+06 - 1.27e-02 1.68e-02f 1\n", + " 23 -1.6256656e+09 7.30e-07 1.75e+01 -1.0 9.73e+00 -3.8 9.90e-01 1.00e+00f 1\n", + " 24 -1.6256802e+09 4.03e-04 1.71e+01 -1.0 4.21e+06 - 2.17e-02 2.24e-02f 1\n", + " 25 -1.6256855e+09 7.93e-04 1.64e+01 -1.0 5.23e+06 - 4.18e-02 2.31e-02f 1\n", + " 26 -1.6256858e+09 3.61e-06 1.35e-03 -1.0 2.74e+01 -4.3 1.00e+00 1.00e+00f 1\n", + " 27 -1.6257066e+09 3.31e-03 4.66e+01 -3.8 9.15e+05 - 3.90e-02 1.32e-01f 1\n", + " 28 -1.6257079e+09 2.83e-03 7.07e+06 -3.8 1.71e+02 -5.3 7.57e-01 1.43e-01f 1\n", + " 29 -1.6257100e+09 1.01e-03 2.89e+06 -3.8 2.15e+01 -3.9 8.97e-01 6.42e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30 -1.6257112e+09 6.18e-04 1.76e+06 -3.8 5.72e+01 -4.4 7.08e-01 3.89e-01f 1\n", + " 31 -1.6257116e+09 4.26e-04 1.21e+06 -3.8 2.29e+01 -4.0 6.58e-01 3.12e-01f 1\n", + " 32 -1.6257159e+09 3.62e-04 1.21e+06 -3.8 2.21e+08 - 6.28e-04 2.58e-04f 1\n", + " 33 -1.6257164e+09 2.03e-04 6.78e+05 -3.8 2.88e+01 -4.0 7.06e-01 4.41e-01f 1\n", + " 34 -1.6257166e+09 8.97e-05 3.00e+05 -3.8 1.10e+01 -3.6 9.80e-01 5.57e-01f 1\n", + " 35 -1.6257168e+09 7.37e-05 2.46e+05 -3.8 2.67e+01 -4.1 1.00e+00 1.78e-01f 1\n", + " 36 -1.6257443e+09 1.21e-02 2.46e+05 -3.8 7.70e+07 - 3.04e-04 9.74e-04f 1\n", + " 37 -1.6257446e+09 8.72e-03 1.78e+05 -3.8 2.69e+01 -4.1 1.00e+00 2.77e-01f 1\n", + " 38 -1.6257491e+09 9.50e-03 1.78e+05 -3.8 2.64e+08 - 3.73e-04 3.71e-04f 1\n", + " 39 -1.6257493e+09 7.12e-03 1.34e+05 -3.8 2.91e+01 -4.2 1.00e+00 2.50e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40 -1.6257494e+09 4.91e-03 9.21e+04 -3.8 1.09e+01 -3.8 1.00e+00 3.11e-01f 1\n", + " 41 -1.6257494e+09 2.84e-03 5.33e+04 -3.8 4.09e+00 -3.3 1.00e+00 4.21e-01f 1\n", + " 42 -1.6257495e+09 2.40e-03 4.49e+04 -3.8 1.22e+01 -3.8 1.00e+00 1.57e-01f 1\n", + " 43 -1.6257496e+09 2.04e-03 3.83e+04 -3.8 3.56e+01 -4.3 1.00e+00 1.48e-01f 1\n", + " 44 -1.6257496e+09 1.64e-04 3.07e+03 -3.8 2.22e-01 -2.1 1.00e+00 9.20e-01f 1\n", + " 45 -1.6257497e+09 1.75e-09 1.87e-03 -3.8 6.42e-01 -2.5 1.00e+00 1.00e+00f 1\n", + " 46 -1.6257651e+09 8.69e-03 8.78e-01 -3.8 2.99e+06 - 1.28e-03 1.66e-03f 1\n", + " 47 -1.6257725e+09 9.88e-03 8.91e-01 -3.8 1.31e+06 - 2.37e-03 1.66e-03f 1\n", + " 48 -1.6257725e+09 9.42e-03 8.49e-01 -3.8 2.10e+00 -2.2 5.12e-02 4.68e-02f 1\n", + " 49 -1.6257725e+09 3.83e-03 3.47e+00 -3.8 8.07e-01 -2.6 1.00e+00 5.94e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50 -1.6257786e+09 4.58e-03 3.45e+00 -3.8 5.08e+05 - 4.74e-03 4.41e-03f 1\n", + " 51 -1.6257786e+09 3.78e-03 1.87e+01 -3.8 7.03e+00 -3.6 1.00e+00 1.74e-01f 1\n", + " 52 -1.6257825e+09 7.07e-03 2.03e+01 -3.8 2.10e+05 - 1.07e-02 8.83e-03f 1\n", + " 53 -1.6257825e+09 6.26e-03 7.35e+01 -3.8 7.20e+00 -3.6 1.00e+00 1.15e-01f 1\n", + " 54 -1.6257826e+09 2.98e-03 3.82e+01 -3.8 2.67e+00 -3.2 1.00e+00 5.24e-01f 1\n", + " 55 -1.6257826e+09 2.38e-03 2.14e+02 -3.8 6.75e+00 -3.7 1.00e+00 2.00e-01f 1\n", + " 56 -1.6257826e+09 1.99e-03 4.91e+02 -3.8 1.45e+01 -4.2 1.00e+00 1.67e-01f 1\n", + " 57 -1.6257826e+09 1.43e-03 2.99e+02 -3.8 4.71e+00 -3.7 1.00e+00 2.81e-01f 1\n", + " 58 -1.6257827e+09 1.05e-03 2.97e+02 -3.8 1.13e+01 -4.2 1.00e+00 2.67e-01f 1\n", + " 59 -1.6257827e+09 1.36e-04 1.37e+01 -3.8 5.87e-01 -2.9 1.00e+00 8.70e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60 -1.6257827e+09 5.66e-05 3.63e+01 -3.8 1.67e+00 -3.4 1.00e+00 5.83e-01f 1\n", + " 61 -1.6257827e+09 4.23e-05 7.56e+01 -3.8 4.21e+00 -3.8 1.00e+00 2.53e-01f 1\n", + " 62 -1.6257848e+09 4.78e-03 7.53e+01 -3.8 7.92e+04 - 2.50e-02 1.88e-02f 1\n", + " 63 -1.6257856e+09 6.57e-03 8.57e+01 -3.8 2.72e+04 - 8.90e-02 2.58e-02f 1\n", + " 64 -1.6257856e+09 8.63e-04 2.18e+00 -3.8 2.06e+01 -3.5 1.00e+00 1.00e+00f 1\n", + " 65 -1.6257862e+09 6.60e-03 4.83e+02 -3.8 9.63e+03 - 3.90e-01 7.45e-02f 1\n", + " 66 -1.6257863e+09 1.85e-02 4.05e+02 -3.8 1.03e+03 - 3.54e-01 2.86e-01f 1\n", + " 67 -1.6257864e+09 1.18e-03 6.53e+01 -3.8 2.64e+01 -3.5 9.60e-01 1.00e+00f 1\n", + " 68 -1.6257864e+09 1.94e-05 2.66e+01 -3.8 1.46e+00 -4.0 1.00e+00 9.84e-01f 1\n", + " 69 -1.6257864e+09 9.34e-04 4.53e+01 -3.8 2.55e+02 - 1.00e+00 1.58e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70 -1.6257864e+09 1.85e-03 5.88e+02 -3.8 7.26e+01 - 3.51e-02 1.00e+00f 1\n", + " 71 -1.6257864e+09 1.41e-05 3.38e-03 -3.8 2.73e-01 -3.6 1.00e+00 1.00e+00h 1\n", + " 72 -1.6257864e+09 7.54e-10 4.31e-04 -3.8 2.00e-01 -4.1 1.00e+00 1.00e+00h 1\n", + " 73 -1.6257865e+09 3.25e-04 7.33e+01 -5.7 6.79e+01 - 6.06e-01 3.69e-01f 1\n", + " 74 -1.6257865e+09 2.79e-04 3.77e+01 -5.7 2.97e+01 - 2.94e-01 3.59e-01f 1\n", + " 75 -1.6257865e+09 1.49e-04 1.74e+03 -5.7 7.25e-01 -4.2 4.17e-01 4.66e-01f 1\n", + " 76 -1.6257865e+09 1.38e-04 1.62e+03 -5.7 4.20e+01 - 1.23e-01 7.54e-02f 1\n", + " 77 -1.6257865e+09 1.20e-04 1.41e+03 -5.7 2.21e+01 - 1.12e-01 1.31e-01f 1\n", + " 78 -1.6257865e+09 7.33e-05 9.04e+02 -5.7 1.51e+01 - 2.03e-01 3.60e-01f 1\n", + " 79 -1.6257865e+09 4.43e-05 5.65e+02 -5.7 5.83e+00 - 5.41e-01 3.75e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80 -1.6257865e+09 2.45e-05 3.17e+02 -5.7 2.22e+00 - 9.77e-01 4.43e-01f 1\n", + " 81 -1.6257865e+09 1.02e-05 3.55e+01 -5.7 9.31e-01 - 1.00e+00 8.89e-01f 1\n", + " 82 -1.6257865e+09 2.12e-06 1.97e-06 -5.7 1.69e-01 - 1.00e+00 1.00e+00f 1\n", + " 83 -1.6257865e+09 4.37e-07 9.98e-01 -7.0 4.03e-01 - 1.00e+00 7.86e-01f 1\n", + " 84 -1.6257865e+09 3.63e-09 9.68e-07 -7.0 8.42e-02 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 84\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -3.8114044268361919e+07 -1.6257864944515448e+09\n", + "Dual infeasibility......: 9.6806290319652826e-07 4.1293534286596742e-05\n", + "Constraint violation....: 1.1641532182693481e-10 3.6270364489610070e-09\n", + "Variable bound violation: 6.2948834810092752e-09 6.2948834810092752e-09\n", + "Complementarity.........: 1.1226287044441443e-07 4.7886668051229792e-06\n", + "Overall NLP error.......: 9.6806290319652826e-07 4.1293534286596742e-05\n", + "\n", + "\n", + "Number of objective function evaluations = 85\n", + "Number of objective gradient evaluations = 85\n", + "Number of equality constraint evaluations = 85\n", + "Number of inequality constraint evaluations = 85\n", + "Number of equality constraint Jacobian evaluations = 85\n", + "Number of inequality constraint Jacobian evaluations = 85\n", + "Number of Lagrangian Hessian evaluations = 84\n", + "Total seconds in IPOPT = 267.914\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212166, 'Number of variables': 211209, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 270.38246846199036}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# pyomo expression for full metric wtih scenario weights applied\n", + "TEALMetric = np.sum( m.weights_scenarios[n] * scenario['NPV'] \n", + " for n, scenario in enumerate(metrics_list) )\n", + "\n", + "# Define the objective function\n", + "m.obj = Objective(expr=TEALMetric, sense=maximize)\n", + "\n", + "# Define the solver object. Using the default solver: IPOPT\n", + "solver = get_solver()\n", + "\n", + "# Solve the optimization problem\n", + "solver.solve(m, tee=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "civil-celebration", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optimal PEM capacity : 196.26160218551968 MW\n", + "Optimal tank capacity : 1.3599808605440433e-05 kg\n", + "OPtimal turbine capacity: 9.076360493623579e-05 MW\n" + ] + } + ], + "source": [ + "# Print Results\n", + "print(\"Optimal PEM capacity : \", m.pem_capacity.value * 1e-3, \"MW\")\n", + "print(\"Optimal tank capacity : \", m.tank_capacity.value * 2.016e-3, \"kg\")\n", + "print(\"OPtimal turbine capacity: \", m.h2_turbine_capacity.value * 1e-6, \"MW\")" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "protecting-asthma", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" ] From f5a512d3e15e47f76fd171b71e3080b51999abbf Mon Sep 17 00:00:00 2001 From: "Gabriel J. Soto" Date: Fri, 16 Sep 2022 12:44:16 -0600 Subject: [PATCH 08/29] moving helper methods to separate script --- .../nuclear_case/TEAL_integration.py | 382 +++ .../multiperiod_design_pricetaker_wTEAL.ipynb | 2569 ++++------------- 2 files changed, 977 insertions(+), 1974 deletions(-) create mode 100644 dispatches/case_studies/nuclear_case/TEAL_integration.py diff --git a/dispatches/case_studies/nuclear_case/TEAL_integration.py b/dispatches/case_studies/nuclear_case/TEAL_integration.py new file mode 100644 index 000000000..101dda45d --- /dev/null +++ b/dispatches/case_studies/nuclear_case/TEAL_integration.py @@ -0,0 +1,382 @@ +################################################################################# +# DISPATCHES was produced under the DOE Design Integration and Synthesis +# Platform to Advance Tightly Coupled Hybrid Energy Systems program (DISPATCHES), +# and is copyright (c) 2022 by the software owners: The Regents of the University +# of California, through Lawrence Berkeley National Laboratory, National +# Technology & Engineering Solutions of Sandia, LLC, Alliance for Sustainable +# Energy, LLC, Battelle Energy Alliance, LLC, University of Notre Dame du Lac, et +# al. All rights reserved. +# +# Please see the files COPYRIGHT.md and LICENSE.md for full copyright and license +# information, respectively. Both files are also available online at the URL: +# "https://github.com/gmlc-dispatches/dispatches". +# +################################################################################# +__author__ = "Gabriel J. Soto" + +# This file contains utility functions for constructing and using TEAL cashflows and metrics. +# First, we add TEAL to the current Python path. Note that DISPATCHES, TEAL, and RAVEN are all +# assumed to be subdirectories within the same directory. +import os +import sys +from os import path +cwd = os.getcwd() +proj_dir = path.dirname( path.abspath( path.join(cwd, '../../..') ) ) +TEAL_dir = path.abspath( path.join(proj_dir, 'TEAL') ) +raven_dir = path.abspath( path.join(proj_dir, 'raven') ) +sys.path.append( proj_dir ) +sys.path.append( TEAL_dir ) +sys.path.append( raven_dir ) +sys.path.append( path.abspath( path.join(TEAL_dir, 'src') ) ) + +import numpy as np +import operator +from TEAL.src import CashFlows +from TEAL.src import main as RunCashFlow + +################### +def build_econ_settings(cfs, life=5, dr=0.1, tax=0.21, infl=0.02184): + """ + Constructs global settings for economic run. + Repurposed from TEAL/tests/PyomoTest.py + + @ In, cfs, CashFlow, cash flow components + @ In, life, float, life time of the years to evaluate + @ In, dr, float, discount rate + @ In, tax, float, the amount of tax ratio to apply + @ In, infl, float, the amount of inflation ratio to apply + @ Out, settings, CashFlow.GlobalSettings, settings + """ + active = [] + for comp_name, cf_list in cfs.items(): + for cf in cf_list: + active.append(f'{comp_name}|{cf}') + print(active) + params = {'DiscountRate': dr, + 'tax': tax, + 'inflation': infl, + 'ProjectTime': life, + 'Indicator': {'name': ['NPV'], # TODO: check IRR, PI + 'active': active} + } + settings = CashFlows.GlobalSettings() + settings.setParams(params) + setattr(settings, "_verbosity", 0) + return settings + + +def build_TEAL_Component(name, comp, mdl, scenario=None, scenario_ind=None): + """ + Constructs TEAL component which holds all desired cash flows (capex, etc.) + for a given Plant component (PEM, H2 Tank, etc.) + + @ In, name, str, name of Plant Component + @ In, comp, dict, dictionary of Plant component cash flows + @ In, mdl, Pyomo model, multiperiod Pyomo model + @ In, scenario, Pyomo model, submodel of mdl pertaining to a scenario (defaults to None) + @ In, scenario_ind, int, index number of scenario (defaults to None) + @ Out, tealComp, CashFlow.Component, object with all cash flows for given plant component + """ + # if scenario is None, we are doing LMP Deterministic (only 1 scenario) + # otherwise, mdl is the main Pyomo model and scenario is the submodel for the scenario within mdl + if scenario is None: + scenario = mdl + + tealComp = CashFlows.Component() + tealComp.setParams({'name': name, + 'Life_time': comp['Lifetime']}) + cashFlows = [] + + for cfName, cfDict in comp.items(): + if cfName == 'Capex': + alpha, driver = getCapexVarFromModel(cfDict, scenario) + capex = createCapex(alpha, driver, mdl.plant_life) + cashFlows.append(capex) + + capex.setAmortization('MACRS', 15) + amorts = tealComp._createDepreciation(capex) + cashFlows.extend(amorts) + + elif cfName == 'FixedOM': + alpha, driver = getCapexVarFromModel(cfDict, scenario) + fixedOM = createRecurringYearly(alpha, driver, mdl.yearsFullVec) + cashFlows.append(fixedOM) + + elif cfName == 'Hourly': + alpha, driver = getDispatchVarFromModel(cfDict, mdl, scenario, scenario_ind) + hourly = createRecurringHourly(alpha, driver, mdl.plant_life) + cashFlows.append(hourly) + + tealComp.addCashflows(cashFlows) + return tealComp + +def calculate_TEAL_metrics(tealSettings, tealComponentList): + """ + Calculates desired TEAL metrics (NPV, PI, etc.) given a list of + plant components and associated cash flows. + + @ In, tealSettings, CashFlow.GlobalSetting, global economic settings + @ In, tealComponentList, list, list of component cashflows + @ Out, metrics, dict, dictionary of Pyomo expressions for requested economic metrics + """ + metrics = RunCashFlow.run(tealSettings, tealComponentList, {}, pyomoVar=True) + + return metrics + +#################################################################### +# Methods to get Pyomo Expressions and convert to Cash Flow drivers +#################################################################### + +def getCapexVarFromModel(cfDict, scenario): + """ + Get Capex parameters from dictionary and convert into a Pyomo expression. + More specifically, a string is extracted from the dictionary which specifies the + IDAES Pyomo expression meant to represent the Capex cashflow driver. + + @ In, cfDict, dict, cash flow dictionary + @ In, scenario, Pyomo model, submodel of mdl pertaining to a scenario (defaults to None) + @ Out, alpha, float, conversion of driver units to monetary value + @ Out, driver, Pyomo Expression, cash flow driver + """ + alpha = cfDict['Value'] + mults = cfDict['Multiplier'] + exprs = cfDict['Expressions'] + assert( len(mults)==len(exprs) ) # NOTE: Multiplier same length as Driver + + pyomoExpr = [operator.attrgetter(exprs[i])(scenario) for i in range(len(exprs))] + driver = [m*pexp for m, pexp in zip(mults, pyomoExpr)] + driver = driver[0] + return alpha, driver + +def getDispatchVarFromModel(cfDict, mdl, scenario, scenario_ind=None): + """ + Get Dispatch parameters from dictionary and convert into a Pyomo expression. + More specifically, a string is extracted from the dictionary which specifies the + IDAES Pyomo expression meant to represent the Hourly Dispatch cash flow driver. + + @ In, cfDict, dict, cash flow dictionary + @ In, mdl, Pyomo model, multiperiod Pyomo model + @ In, scenario, Pyomo model, submodel of mdl pertaining to a scenario (defaults to None) + @ In, scenario_ind, int, index number of scenario (defaults to None) + @ Out, alpha, float, conversion of driver units to monetary value + @ Out, dispatch_array, numpy array, array of hourly cashflows (Pyomo expressions) + """ + alpha = cfDict['Value'] + mults = cfDict['Multiplier'] + exprs = cfDict['Expressions'] + assert( len(mults)==len(exprs) ) # NOTE: Multiplier same length as Driver + + # time indeces for HERON/TEAL + n_hours = len(mdl.set_time) + n_days = len(mdl.set_days) + n_years = len(mdl.set_years) + n_projLife = mdl.plant_life + 1 + + yearsMapArray = mdl.yearsFullVec # looks like [0, 2022, 2022, 2022, 2022, ... 2032, ... ] + + n_hours_per_year = n_hours * n_days # sometimes number of days refers to clusters < 365 + + dispatch_array = np.zeros((n_projLife, n_hours_per_year), dtype=object) + + indeces = np.array([tuple(i) for i in scenario.period_index], dtype="i,i,i") + time_shape = (n_years, n_hours_per_year) # reshaping the tuples array to match HERON dispatch + indeces = indeces.reshape(time_shape) + + # currently, taking this to mean that we are using the LMP signal... + # TODO: needs to be more general here + if alpha == []: + signal = mdl.LMP + + # # plus 1 to year term to allow for 0 recurring costs during build year + alpha = np.zeros([n_projLife, n_hours_per_year]) + # it necessary to have alpha be [year, clusterhour] instead of [year, cluster, hour] + # clusterhour loops through hours first, then cluster + if mdl.stochastic: + signal = signal[scenario_ind] + realized_alpha = [[signal[y][d][h] \ + for d in mdl.set_days + for h in mdl.set_time] # order here matches *indeces* + for y in mdl.yearsFullVec[1:]] #shape here is [year, hour] + # # first column of year axis is 0 for project year 0 + realized_alpha = np.array(realized_alpha) + alpha[1:,:] = realized_alpha + + # TODO: check that all periods and LMPs match up... + pcount = -1 + for p, pyear in enumerate(yearsMapArray): + if pyear == 0: + continue + + if pyear > yearsMapArray[p-1]: + pcount +=1 + + for time in range(n_hours_per_year): + ind = tuple(indeces[pcount,time]) + # looping through all DISPATCHES variables pertaining to this specific dispatch + # e.g., turbine costs due to work done by turbine + compressor, separate variables + dispatch_driver = 0 + for ds, dStr in enumerate(exprs): + dispatch_driver += operator.attrgetter(dStr)(scenario.period[ind])[0] * mults[ds] + + # getting weights for each day/cluster + dy, yr = ind[1:] + weight = mdl.weights_days[yr][dy] # extracting weight for year + day + + # storing individual Pyomo dispatch + dispatch_array[p, time] = dispatch_driver * weight + + return alpha, dispatch_array + + +################################### +# Methods to create TEAL components +################################### + +def createCapex(alpha, driver, projLife): + """ + Constructs the TEAL Capex Cashflow + @ In, alpha, float, price + @ In, driver, Pyomo Expression, quantity used in cashflow + @ In, projLife, float, component life + @ Out, cf, TEAL.src.CashFlows.Component, cashflow sale for each capital expenditures + """ + # extract alpha, driver as just one value + cf = CashFlows.Capex() + cf.name = 'Cap' + # life = comp._lifetime + cf.initParams(projLife) + cfParams = {'name': 'Cap', + 'alpha': alpha, + 'driver': driver, + 'reference': 1.0, + 'X': 1.0, + 'depreciate': 1, + 'mult_target': None, + 'inflation': False, + } + cf.setParams(cfParams) + return cf + + +def createRecurringYearly(alpha, driver, lifeVector): + """ + Constructs a TEAL Yearly Cashflow + @ In, alpha, float, yearly price/cost to populate + @ In, driver, Pyomo Expression, quantity used in cashflow + @ In, lifeVector, numpy array, years in project life + @ Out, cf, TEAL.src.CashFlows.Component, cashflow sale for the recurring yearly + """ + cf = CashFlows.Recurring() + cfParams = {'name': 'FixedOM', + 'X': 1, + 'mult_target': None, + 'inflation': False} + cf.setParams(cfParams) + + # convert to binary mask, includes a zero for year 0 (construction) + projYears = np.array([y>1 for y in lifeVector], dtype=int) + projYears = projYears.astype(object) + + # 0 for first year (build year) -> TODO couldn't this be automatic? + alphas = projYears * alpha + drivers = projYears * driver + + # construct annual summary cashflows + cf.computeYearlyCashflow(alphas, drivers) + return cf + + +def createRecurringHourly(alpha, driver, projLife): + """ + Constructs a TEAL Hourly Cashflow + @ In, alpha, float, price + @ In, driver, Pyomo Expression, quantity used in cashflow + @ In, projLife, float, component life + @ Out, cf, TEAL.src.CashFlows.Component, cashflow sale for each capital expenditures + """ + projLife += 1 + cf = CashFlows.Recurring() + cfParams = {'name': 'Hourly', + 'X': 1, + 'mult_target': None, + 'inflation': False} + cf.setParams(cfParams) + cf.initParams(projLife, pyomoVar=True) + for year in range(projLife): + if isinstance(alpha, float): + cf.computeIntrayearCashflow(year, alpha, driver[year, :]) + else: + cf.computeIntrayearCashflow(year, alpha[year, :], driver[year, :]) + return cf + +################################### +# Helper methods +################################### + +def restructure_LMP(m): + """ + Restructures LMP signal from JSON to be more compatible with TEAL + @ In, m, Pyomo model, multiperiod Pyomo model + @ Out, None, None + """ + # list of available years in LMP data + if m.stochastic: + years = list(m.LMP[0].keys()) + else: + years = list(m.LMP.keys()) + + n_years_data = len(years) + set_scenarios = list( m.LMP.keys() ) if m.stochastic else [0] + + # template dictionary full of 0s, same structure as LMP + zeroDict = {cluster: {hour: 0 + for hour in m.set_time} + for cluster in m.set_days} + + ## CHECKING THAT WE HAVE ENOUGH DATA FOR SIM ## + + # Case where we have less data than the project life/sim time + # Here, we assume (as in the default nuclear case demo) that + # the years 2022-2031 all have the same LMP data, which + # helps to cut down on variables just for the demonstration + if n_years_data < m.plant_life: + print("Requested LMP Data less than project life") + projLifeRange = np.arange( years[0]-1, # year-1 is the construction year + years[0] + m.plant_life) # full project time with first year of data as starting point + + # initializing empty dicts and lists + newLMP = {} # going to replace existing LMP dictionary + + for s in set_scenarios: + newYearsVec = [] # list of years used + stuckYear = 0 # ugly way of duplicating years + # looping through possible years in lifetime (e.g., 2021 -> 2041) + for i,y in enumerate(projLifeRange): + # data not available for given year within project lifetime + if y not in years: + if i == 0: # construction year + newLMP[y] = zeroDict + newYearsVec.append(0) + else: # duplicate previous year's values + newLMP[y] = newLMP[y-1] + newYearsVec.append(stuckYear) + # data for current year is available in LMP dict + else: + stuckYear = y # update year for duplication (word?) + newLMP[y] = m.LMP[y] if not m.stochastic else m.LMP[s][y] # keep current LMP value + newYearsVec.append(y) # update current year + + # save to model object + if m.stochastic: + m.LMP[s] = newLMP + else: + m.LMP = newLMP + m.yearsFullVec = newYearsVec + + elif n_years_data > m.plant_life: + print("LMP Data more than project life, must curtail.") + # TODO fill this out + else: + print("LMP Data matches project life") + # TODO fill this out + # years.insert(0,0) diff --git a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb index 66f447576..c9444d365 100644 --- a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb +++ b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb @@ -99,39 +99,13 @@ "# Import function for the construction of the multiperiod model\n", "from dispatches.case_studies.nuclear_case.multiperiod import (\n", " build_multiperiod_design,\n", - " plot_lmp_and_schedule)" - ] - }, - { - "cell_type": "markdown", - "id": "72522d0d", - "metadata": {}, - "source": [ - "### TEAL: Adding TEAL to path and importing Cashflows \n", - "\n", - "Note you have to run this using the *raven_libraries* Python environment for now. Within that environment, you should install *dispatches*" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "e3e331c5", - "metadata": {}, - "outputs": [], - "source": [ - "import os.path as path \n", - "import os, sys\n", - "cwd = os.getcwd()\n", - "proj_dir = path.dirname( path.abspath( path.join(cwd, '../../..') ) )\n", - "TEAL_dir = path.abspath( path.join(proj_dir, 'TEAL') )\n", - "raven_dir = path.abspath( path.join(proj_dir, 'raven') )\n", - "sys.path.append( proj_dir )\n", - "sys.path.append( TEAL_dir )\n", - "sys.path.append( raven_dir )\n", - "sys.path.append( path.abspath( path.join(TEAL_dir, 'src') ) )\n", + " plot_lmp_and_schedule)\n", "\n", - "from TEAL.src import CashFlows\n", - "from TEAL.src import main as RunCashFlow" + "from dispatches.case_studies.nuclear_case.TEAL_integration import (\n", + " restructure_LMP,\n", + " build_econ_settings,\n", + " build_TEAL_Component,\n", + " calculate_TEAL_metrics)" ] }, { @@ -167,7 +141,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "id": "annoying-myrtle", "metadata": { "scrolled": false @@ -177,58 +151,58 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-09-16 06:12:37 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-09-16 06:12:37 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:37 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:37 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-09-16 06:12:37 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:37 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-09-16 06:12:37 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:37 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:37 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-09-16 06:12:38 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:38 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:38 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:38 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-09-16 06:12:38 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:38 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-09-16 06:12:38 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:38 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:38 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:38 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-09-16 06:12:38 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:38 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-09-16 06:12:38 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:38 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-09-16 06:12:39 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:39 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:39 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-16 06:12:39 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-09-16 06:12:39 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-09-16 06:12:39 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:39 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-09-16 06:12:39 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:39 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:39 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-09-16 06:12:39 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:39 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:40 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:12:41 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-16 06:12:41 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "2022-09-16 09:42:17 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-09-16 09:42:18 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:18 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:18 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-09-16 09:42:18 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:18 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-09-16 09:42:18 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:18 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:18 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-09-16 09:42:18 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:18 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:18 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:18 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-09-16 09:42:18 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:18 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-09-16 09:42:18 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:18 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:19 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:19 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-09-16 09:42:19 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:19 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-09-16 09:42:19 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:19 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-09-16 09:42:19 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:19 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:19 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-16 09:42:19 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-09-16 09:42:19 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-09-16 09:42:19 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:19 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-09-16 09:42:19 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:19 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:19 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-09-16 09:42:20 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:20 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:20 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-16 09:42:20 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-09-16 09:42:20 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:20 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-09-16 09:42:20 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:20 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-09-16 09:42:20 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-16 09:42:20 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-09-16 09:42:20 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:20 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-09-16 09:42:21 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:21 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:21 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-09-16 09:42:21 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:21 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:42:21 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-16 09:42:21 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", "Degrees of freedom: 0\n", "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", "tol=1e-06\n", @@ -278,7 +252,7 @@ "Number of equality constraint Jacobian evaluations = 2\n", "Number of inequality constraint Jacobian evaluations = 0\n", "Number of Lagrangian Hessian evaluations = 1\n", - "Total seconds in IPOPT = 0.007\n", + "Total seconds in IPOPT = 0.006\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -286,10 +260,10 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.09728717803955078}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.09804749488830566}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, - "execution_count": 3, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -325,7 +299,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "id": "animal-astronomy", "metadata": {}, "outputs": [ @@ -400,7 +374,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "id": "guilty-appliance", "metadata": {}, "outputs": [], @@ -409,6 +383,123 @@ "del m" ] }, + { + "cell_type": "markdown", + "id": "210c5afa", + "metadata": {}, + "source": [ + "## Define TEAL Component Cash Flows\n", + "\n", + "We now add a template dictionary with all the Nuclear Case components. \n", + "Each plant component has nested dictionaries for each desired TEAL cash flow. \n", + "Note that all cash flows are defined as:\n", + " $$C_y = m \\alpha_y \\bigg(\\frac{D_y}{D^{\\prime}}\\bigg)^X$$\n", + "The cash flow $C_y$ is indexed by year, but hourly indeces can also be created and summed per year. Other parameters include $\\alpha$, the reference price, $D_y$ the driver for the cash flow (e.g., number of units sold, hours of electricity produced, etc.), $D^{\\prime}$ the reference driver corresponding to $\\alpha$ (optional), $X$ the scaling factor, and $m$ an extra multiplier.\n", + "\n", + "\n", + "The cash flow dictionaries below must have:\n", + "1. an **Expression**: a list of strings of the Pyomo variable name used as the cash flow driver ($D_y$)\n", + "2. a **Value**: the cost per unit ($\\alpha$)\n", + "3. a **Multiplier**: an extra multiplier to distinguish between +/- cash flows ($m$)\n", + "\n", + "Each component must also have a Lifetime but all currently set to be the same. The TEAL-DISPATCHES integration currently does not support scaling factors. " + ] + }, + { + "cell_type": "markdown", + "id": "d0b46352", + "metadata": {}, + "source": [ + "We use the numbers in the table below for constructing the cash flow expressions.\n", + "\n", + "| Unit | CAPEX | Fixed O&M | Variable O&M |\n", + "| :- | :-: | :-: | :-: |\n", + "| PEM Electrolyzer | \\$1630 /kW | \\$47.9 /kW | \\$1.3 /MWh |\n", + "| Hydrogen tank | \\$29 /kWh | 0 | 0 |\n", + "| Hydrogen turbine | \\$947 /kW | \\$7 /kW | \\$4.25 /Mwh|\n", + "\n", + "We refer the reader to the Simulation of the Flowsheet section for the default units of the decision variables. We convert the cost numbers so that the units are consistent with that of the variable." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "e7fcb9cb", + "metadata": {}, + "outputs": [], + "source": [ + "components={\n", + " # Electrolyzer: negative Cash flows\n", + " \"pem\":{ \n", + " \"Lifetime\": 20,\n", + " \"Capex\":{\n", + " \"Expressions\": ['pem_capacity'],\n", + " \"Value\": 1630, # $/kW\n", + " \"Multiplier\": [-1],\n", + " },\n", + " \"FixedOM\":{\n", + " \"Expressions\": ['pem_capacity'],\n", + " \"Value\": 47.9, # $/kW\n", + " \"Multiplier\": [-1],\n", + " },\n", + " \"Hourly\":{\n", + " \"Expressions\": ['fs.pem.electricity'],\n", + " \"Value\": 1.3e-3, # $/MWh -> $/kWh\n", + " \"Multiplier\": [-1],\n", + " },\n", + " },\n", + " # Hydrogen Tank: negative Cash flows\n", + " \"h2tank\":{\n", + " \"Lifetime\": 20,\n", + " \"Capex\":{\n", + " \"Expressions\": ['tank_capacity'],\n", + " \"Value\": 1.946851199, # $29/kWh * 33.3 kWh/kg * 2.016e-3 kg/mol\n", + " \"Multiplier\": [-1],\n", + " },\n", + " },\n", + " # Hydrogen Turbine: negative Cash flows\n", + " \"h2turbine\":{ \n", + " \"Lifetime\": 20,\n", + " \"Capex\":{\n", + " \"Expressions\": ['h2_turbine_capacity'],\n", + " \"Value\": 0.947, # $/kW -> $/W\n", + " \"Multiplier\": [-1],\n", + " },\n", + " \"FixedOM\":{\n", + " \"Expressions\": ['h2_turbine_capacity'],\n", + " \"Value\": 0.007, # $/kW -> $/W\n", + " \"Multiplier\": [-1],\n", + " },\n", + " \"Hourly\":{\n", + " \"Expressions\": ['fs.h2_turbine.turbine.work_mechanical',\n", + " 'fs.h2_turbine.compressor.work_mechanical'],\n", + " \"Value\": 4.25e-6, # $/MWh -> $/Wh\n", + " \"Multiplier\": [1, 1], # these values come out with correct sign in expression\n", + " },\n", + " },\n", + " # Electricity Market: positive Cash flows\n", + " \"electricity_market\":{\n", + " \"Lifetime\": 20,\n", + " \"Hourly\":{\n", + " \"Expressions\": ['fs.np_power_split.np_to_grid_port.electricity',\n", + " 'fs.h2_turbine.turbine.work_mechanical',\n", + " 'fs.h2_turbine.compressor.work_mechanical'],\n", + " \"Value\": [], # this is LMP in $/MWh, should be path str to ROM\n", + " \"Multiplier\": [1e-3, -1e-6, -1e-6], # converting to $/kWh and $/Wh\n", + " },\n", + " },\n", + " # Hydrogen Market: positive Cash flows\n", + " \"h2_market\":{\n", + " \"Lifetime\": 20,\n", + " \"Hourly\":{\n", + " \"Expressions\": ['fs.h2_tank.outlet_to_pipeline.flow_mol'], # this is in mol/s\n", + " \"Value\": 3.0, # this is $/kg\n", + " \"Multiplier\": [7.2576] # convert from $/kg -> $/mol and also converting mol/s to mol/hr\n", + " },\n", + " },\n", + "}" + ] + }, { "cell_type": "markdown", "id": "alert-packing", @@ -497,90 +588,6 @@ "m.weights_days = weights_days # number of days represented by each cluster" ] }, - { - "cell_type": "markdown", - "id": "167b5f29", - "metadata": {}, - "source": [ - "This might be a temporary cell, but checking to see if the amount of years supplied by the LMP data match the desired project length/plant life.\n", - "In the future, project length and plant lifetime should be separate entities. \n", - "Should also figure out multiplicity (least common multiple) of plant lives. " - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "1cf94ff3", - "metadata": {}, - "outputs": [], - "source": [ - "# checking if number of years provided in data match plant_life\n", - "import numpy as np\n", - "\n", - "def restructure_LMP(m):\n", - " # list of available years in LMP data\n", - " if m.stochastic:\n", - " years = list(m.LMP[0].keys())\n", - " else:\n", - " years = list(m.LMP.keys())\n", - "\n", - " n_years_data = len(years)\n", - " set_scenarios = list( m.LMP.keys() ) if m.stochastic else [0]\n", - "\n", - " # template dictionary full of 0s, same structure as LMP\n", - " zeroDict = {cluster: {hour: 0\n", - " for hour in m.set_time} \n", - " for cluster in m.set_days}\n", - "\n", - " ## CHECKING THAT WE HAVE ENOUGH DATA FOR SIM ##\n", - "\n", - " # Case where we have less data than the project life/sim time\n", - " # Here, we assume (as in the default nuclear case demo) that\n", - " # the years 2022-2031 all have the same LMP data, which\n", - " # helps to cut down on variables just for the demonstration\n", - " if n_years_data < m.plant_life:\n", - " print(\"LMP Data less than project life\")\n", - " projLifeRange = np.arange( years[0]-1, # year-1 is the construction year\n", - " years[0] + m.plant_life) # full project time with first year of data as starting point\n", - "\n", - " # initializing empty dicts and lists\n", - " newLMP = {} # going to replace existing LMP dictionary\n", - "\n", - " for s in set_scenarios:\n", - " newYearsVec = [] # list of years used\n", - " stuckYear = 0 # ugly way of duplicating years\n", - " # looping through possible years in lifetime (e.g., 2021 -> 2041)\n", - " for i,y in enumerate(projLifeRange):\n", - " # data not available for given year within project lifetime\n", - " if y not in years:\n", - " if i == 0: # construction year\n", - " newLMP[y] = zeroDict\n", - " newYearsVec.append(0)\n", - " else: # duplicate previous year's values\n", - " newLMP[y] = newLMP[y-1]\n", - " newYearsVec.append(stuckYear)\n", - " # data for current year is available in LMP dict\n", - " else:\n", - " stuckYear = y # update year for duplication (word?)\n", - " newLMP[y] = m.LMP[y] if not m.stochastic else m.LMP[s][y] # keep current LMP value\n", - " newYearsVec.append(y) # update current year\n", - " \n", - " # save to model object\n", - " if m.stochastic:\n", - " m.LMP[s] = newLMP\n", - " else:\n", - " m.LMP = newLMP\n", - " m.yearsFullVec = newYearsVec\n", - "\n", - " elif n_years_data > m.plant_life:\n", - " print(\"LMP Data more than project life, must curtail.\")\n", - " # TODO fill this out\n", - " else:\n", - " print(\"LMP Data matches project life\")\n", - " # TODO fill this out\n", - " # years.insert(0,0)\n" - ] - }, { "cell_type": "markdown", "id": "august-rings", @@ -598,7 +605,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "id": "senior-multimedia", "metadata": {}, "outputs": [], @@ -641,1694 +648,285 @@ " m.fs.mixer.hydrogen_feed.flow_mol[0].setlb(0.001)" ] }, - { - "cell_type": "markdown", - "id": "organized-peoples", - "metadata": {}, - "source": [ - "Next, we use the `build_multiperiod_design` function to build the constraints $g(u_{t,d}) = 0$ and $h(u_{t,d}) \\le 0$ $\\forall \\; t \\in \\mathcal{T}$ and $\\forall \\; d \\in \\mathcal{C}$. This function creates an instance of the flowsheet (using the `build_ne_flowsheet` function) for each time instance, fixes its degrees of freedom and initializes it (using the `fix_dof_and_initialize` function), and unfixes operational degrees of freedom (using the `unfix_dof` function) described above. Since we are dealing with multiple days/clusters and multiple years (2022 and 2032 LMP signals), we set the `multiple_days` and `multiyear` argument to `True` (see below. Note that the default value of these arguments is `False`). \n", - "\n", - "**Note**: The function, by default, looks for `m.set_time`, `m.set_days` and `m.set_years` objects for the set of hours, days/clusters and years, respectively. However, if the sets are created using a different set of names, then they must be passed to the function explicitly. E.g. `build_multiperiod_design(m, ..., set_time=m.set_time_object, set_days=m.set_days_object, set_years=m.set_years_object)`.\n", - "\n", - "**Tip**: Building the multiperiod model can take some time. So, set `verbose=True` to moniter the progress" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "democratic-aurora", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[ 0.00] Processing input information.\n", - "[+ 0.00] Beginning the formulation of the multiperiod problem.\n", - "[+ 155.63] Completed the formulation of the multiperiod problem\n", - "2022-09-16 06:15:17 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-09-16 06:15:17 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:17 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:17 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-09-16 06:15:18 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:18 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-09-16 06:15:18 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:18 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:18 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-09-16 06:15:18 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:18 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:18 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:18 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-09-16 06:15:18 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:18 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-09-16 06:15:18 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:18 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:18 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:18 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-09-16 06:15:19 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:19 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-09-16 06:15:19 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:19 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-09-16 06:15:19 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:19 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:19 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-16 06:15:19 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-09-16 06:15:19 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-09-16 06:15:19 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:19 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-09-16 06:15:19 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:19 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:19 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-09-16 06:15:20 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:20 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:20 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-16 06:15:20 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-09-16 06:15:20 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:20 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-09-16 06:15:20 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:20 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-09-16 06:15:20 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-16 06:15:20 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-09-16 06:15:21 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:21 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-09-16 06:15:21 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:21 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:21 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-09-16 06:15:21 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:21 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:15:21 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-16 06:15:21 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", - "[+ 4.72] Created an instance of the flowsheet and initialized it.\n", - "[+ 19.50] Initialized the entire multiperiod optimization model.\n", - "[+ 0.38] Unfixed the degrees of freedom from each period model.\n", - "LMP Data less than project life\n" - ] - } - ], - "source": [ - "# Build initialized multiperiod model: Constraints g(u(t,d)) = 0 and h(u(t,d)) <= 0\n", - "build_multiperiod_design(m,\n", - " flowsheet=build_ne_flowsheet,\n", - " initialization=fix_dof_and_initialize,\n", - " unfix_dof=unfix_dof,\n", - " multiple_days=True,\n", - " multiyear=True,\n", - " verbose=False)\n", - "\n", - "restructure_LMP(m)" - ] - }, - { - "cell_type": "markdown", - "id": "suited-development", - "metadata": {}, - "source": [ - "Next, we define \n", - "\n", - "- Function `build_connecting_constraints` to declare the design decisions and to build the constraints $f(u_{t-1,d}, u_{t,d}) = 0$ and $u_{t,d} \\le D$. \n", - "- Function `append_costs_and_revenue` to build expressions for all the cash flows (electricity revenue, hydrogen revenue, fixed O&M, variable O&M, depreciation, etc.)\n", - "\n", - "Observe that we assume (Line 39 in the function below) that each day begins with an empty tank (i.e., zero holdup). This is one of the limitations of working with representative days/clusters. The excess storage at the end of each day cannot be transferred to the following day. This limitation can be overcome by formulating an optimization problem for an entire year, instead of a few representative days. This, however, increases the problem size substantially.\n", - "\n", - "**Note**: It is not necessary to define the above functions for the deterministic case. Nevertheless, we do so because it will be useful for the stochastic case, as we shall see in the next section." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "optimum-closing", - "metadata": {}, - "outputs": [], - "source": [ - "def build_connecting_constraints(m, set_time, set_days, set_years):\n", - " \n", - " \"\"\"\n", - " This function declares the first-stage variables or design decisions,\n", - " adds constraints that ensure that the operational variables never exceed their\n", - " design values, and adds constraints connecting variables at t - 1 and t\n", - " \"\"\"\n", - "\n", - " # Declare first-stage variables (Design decisions)\n", - " m.pem_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Maximum capacity of the PEM electrolyzer (in kW)\")\n", - " m.tank_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Maximum holdup of the tank (in mol)\")\n", - " m.h2_turbine_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Maximum power output from the turbine (in W)\")\n", - "\n", - " # Ensure that the electricity to the PEM elctrolyzer does not exceed the PEM capacity\n", - " @m.Constraint(set_time, set_days, set_years)\n", - " def pem_capacity_constraint(blk, t, d, y):\n", - " return blk.period[t, d, y].fs.pem.electricity[0] <= m.pem_capacity\n", - "\n", - " # Ensure that the final tank holdup does not exceed the tank capacity \n", - " @m.Constraint(set_time, set_days, set_years)\n", - " def tank_capacity_constraint(blk, t, d, y):\n", - " return blk.period[t, d, y].fs.h2_tank.tank_holdup[0] <= m.tank_capacity\n", - "\n", - " # Ensure that the power generated by the turbine does not exceed the turbine capacity\n", - " @m.Constraint(set_time, set_days, set_years)\n", - " def turbine_capacity_constraint(blk, t, d, y):\n", - " return (\n", - " - blk.period[t, d, y].fs.h2_turbine.turbine.work_mechanical[0]\n", - " - blk.period[t, d, y].fs.h2_turbine.compressor.work_mechanical[0] <=\n", - " m.h2_turbine_capacity\n", - " )\n", - "\n", - " # Connect the initial tank holdup at time t with the final tank holdup at time t - 1\n", - " @m.Constraint(set_time, set_days, set_years)\n", - " def tank_holdup_constraints(blk, t, d, y):\n", - " if t == 1:\n", - " # Each day begins with an empty tank\n", - " return (\n", - " blk.period[t, d, y].fs.h2_tank.tank_holdup_previous[0] == 0\n", - " )\n", - " else:\n", - " # Initial holdup at time t = final holdup at time t - 1\n", - " return (\n", - " blk.period[t, d, y].fs.h2_tank.tank_holdup_previous[0] ==\n", - " blk.period[t - 1, d, y].fs.h2_tank.tank_holdup[0]\n", - " )" - ] - }, - { - "cell_type": "markdown", - "id": "addressed-mount", - "metadata": {}, - "source": [ - "Next, we use the numbers in the table below for constructing the cash flow expressions.\n", - "\n", - "| Unit | CAPEX | Fixed O&M | Variable O&M |\n", - "| :- | :-: | :-: | :-: |\n", - "| PEM Electrolyzer | \\$1630 /kW | \\$47.9 /kW | \\$1.3 /MWh |\n", - "| Hydrogen tank | \\$29 /kWh | 0 | 0 |\n", - "| Hydrogen turbine | \\$947 /kW | \\$7 /kW | \\$4.25 /Mwh|\n", - "\n", - "We refer the reader to the Simulation of the Flowsheet section for the default units of the decision variables. We convert the cost numbers so that the units are consistent with that of the variable." - ] - }, - { - "cell_type": "markdown", - "id": "01055db2", - "metadata": {}, - "source": [ - "### TEAL: Defining component costs/revenues and corresponding IDAES variables \n", - "\n", - "We now add a template dictionary with all the Nuclear Case components. \n", - "Each plant component has nested dictionaries for each desired TEAL cash flow. \n", - "Note that all cash flows are defined as:\n", - " $$C_y = m \\alpha_y \\bigg(\\frac{D_y}{R}\\bigg)^X$$\n", - "The cash flow $C_y$ is indexed by year, but hourly indeces can also be created and summed per year. Other parameters include $\\alpha$, the reference price, $D_y$ the driver for the cash flow (e.g., number of units sold, hours of electricity produced, etc.), $R$ the reference driver corresponding to $\\alpha$ (optional), $X$ the scaling factor, and $m$ an extra multiplier.\n", - "\n", - "\n", - "The cash flow dictionaries below must have:\n", - "1. an **Expression**: a list of strings of the Pyomo variable name used as the cash flow driver ($D_y$)\n", - "2. a **Value**: the cost per unit ($\\alpha$)\n", - "3. a **Multiplier**: an extra multiplier to distinguish between +/- cash flows ($m$)\n", - "\n", - "Each component must also have a Lifetime but all currently set to be the same. " - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "cbf4c9c2", - "metadata": {}, - "outputs": [], - "source": [ - "components={\n", - " # Electrolyzer: negative Cash flows\n", - " \"pem\":{ \n", - " \"Lifetime\": 20,\n", - " \"Capex\":{\n", - " \"Expressions\": ['pem_capacity'],\n", - " \"Value\": 1630, # $/kW\n", - " \"Multiplier\": [-1],\n", - " },\n", - " \"FixedOM\":{\n", - " \"Expressions\": ['pem_capacity'],\n", - " \"Value\": 47.9, # $/kW\n", - " \"Multiplier\": [-1],\n", - " },\n", - " \"Hourly\":{\n", - " \"Expressions\": ['fs.pem.electricity'],\n", - " \"Value\": 1.3e-3, # $/MWh -> $/kWh\n", - " \"Multiplier\": [-1],\n", - " },\n", - " },\n", - " # Hydrogen Tank: negative Cash flows\n", - " \"h2tank\":{\n", - " \"Lifetime\": 20,\n", - " \"Capex\":{\n", - " \"Expressions\": ['tank_capacity'],\n", - " \"Value\": 1.946851199, # $29/kWh * 33.3 kWh/kg * 2.016e-3 kg/mol\n", - " \"Multiplier\": [-1],\n", - " },\n", - " },\n", - " # Hydrogen Turbine: negative Cash flows\n", - " \"h2turbine\":{ \n", - " \"Lifetime\": 20,\n", - " \"Capex\":{\n", - " \"Expressions\": ['h2_turbine_capacity'],\n", - " \"Value\": 0.947, # $/kW -> $/W\n", - " \"Multiplier\": [-1],\n", - " },\n", - " \"FixedOM\":{\n", - " \"Expressions\": ['h2_turbine_capacity'],\n", - " \"Value\": 0.007, # $/kW -> $/W\n", - " \"Multiplier\": [-1],\n", - " },\n", - " \"Hourly\":{\n", - " \"Expressions\": ['fs.h2_turbine.turbine.work_mechanical',\n", - " 'fs.h2_turbine.compressor.work_mechanical'],\n", - " \"Value\": 4.25e-6, # $/MWh -> $/Wh\n", - " \"Multiplier\": [1, 1], # these values come out with correct sign in expression\n", - " },\n", - " },\n", - " # Electricity Market: positive Cash flows\n", - " \"electricity_market\":{\n", - " \"Lifetime\": 20,\n", - " \"Hourly\":{\n", - " \"Expressions\": ['fs.np_power_split.np_to_grid_port.electricity',\n", - " 'fs.h2_turbine.turbine.work_mechanical',\n", - " 'fs.h2_turbine.compressor.work_mechanical'],\n", - " \"Value\": [], # this is LMP in $/MWh, should be path str to ROM\n", - " \"Multiplier\": [1e-3, -1e-6, -1e-6], # converting to $/kWh and $/Wh\n", - " },\n", - " },\n", - " # Hydrogen Market: positive Cash flows\n", - " \"h2_market\":{\n", - " \"Lifetime\": 20,\n", - " \"Hourly\":{\n", - " \"Expressions\": ['fs.h2_tank.outlet_to_pipeline.flow_mol'], # this is in mol/s\n", - " \"Value\": 3.0, # this is $/kg\n", - " \"Multiplier\": [7.2576] # convert from $/kg -> $/mol and also converting mol/s to mol/hr\n", - " },\n", - " },\n", - "}" - ] - }, - { - "cell_type": "markdown", - "id": "499296f9", - "metadata": {}, - "source": [ - "TEAL: Next, we should initialize global Cash flow attributes within TEAL.\n", - "\n", - "This includes passing discount rates, plant life, etc. from the notebook to an object of TEAL \n", - "global parameters. " - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "418b46b4", - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import operator\n", - "\n", - "# *** HELPER FUNCTIONS / repurposed from TEAL/tests/PyomoTest.py ***\n", - "def build_econ_settings(cfs, life=5, dr=0.1, tax=0.21, infl=0.02184):\n", - " \"\"\"\n", - " Constructs global settings for econ run\n", - " @ In, cfs, CashFlow, cash flow components\n", - " @ In, life, float, life time of the years to evaluate\n", - " @ In, dr, float, discount rate\n", - " @ In, tax, float, the amount of tax ratio to apply\n", - " @ In, infl, float, the amount of inflation ratio to apply\n", - " @ Out, settings, CashFlow.GlobalSettings, settings\n", - " \"\"\"\n", - " active = []\n", - " for comp_name, cf_list in cfs.items():\n", - " for cf in cf_list:\n", - " active.append(f'{comp_name}|{cf}')\n", - " print(active)\n", - " params = {'DiscountRate': dr,\n", - " 'tax': tax,\n", - " 'inflation': infl,\n", - " 'ProjectTime': life,\n", - " 'Indicator': {'name': ['NPV'], # TODO: check IRR, PI\n", - " 'active': active}\n", - " }\n", - " settings = CashFlows.GlobalSettings()\n", - " settings.setParams(params)\n", - " settings._verbosity = 0\n", - " return settings" - ] - }, - { - "cell_type": "markdown", - "id": "f93fefce", - "metadata": {}, - "source": [ - "TEAL: More helper methods distinguish between creating Capex, and recurring (hourly vs yearly) TEAL cash flows." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "0b30e827", - "metadata": {}, - "outputs": [], - "source": [ - "def createCapex(comp, alpha, driver, life):\n", - " \"\"\"\n", - " Constructs the parameters for capital expenditures\n", - " @ In, comp, TEAL.src.CashFlows.Component, main structure to add component cash flows\n", - " @ In, alpha, float, price\n", - " @ In, driver, pyomo.core.base.var.ScalarVar, quantity sold\n", - " @ Out, cf, TEAL.src.CashFlows.Component, cashflow sale for each capital expenditures\n", - " \"\"\"\n", - " # extract alpha, driver as just one value\n", - " cf = CashFlows.Capex()\n", - " cf.name = 'Cap'\n", - " # life = comp._lifetime\n", - " cf.initParams(life)\n", - " cfParams = {'name': 'Cap',\n", - " 'alpha': alpha,\n", - " 'driver': driver,\n", - " 'reference': 1.0,\n", - " 'X': 1.0,\n", - " 'depreciate': 1,\n", - " 'mult_target': None,\n", - " 'inflation': False,\n", - " }\n", - " cf.setParams(cfParams)\n", - " return cf\n", - "\n", - "\n", - "def createRecurringYearly(comp, alpha, driver, lifeVector):\n", - " \"\"\"\n", - " Constructs the parameters for capital expenditures\n", - " @ In, comp, TEAL.src.CashFlows.Component, main structure to add component cash flows\n", - " @ In, alpha, float, yearly price to populate\n", - " @ In, driver, pyomo.core.base.var.ScalarVar, quantity sold to populate\n", - " @ Out, cf, TEAL.src.CashFlows.Component, cashflow sale for the recurring yearly\n", - " \"\"\"\n", - " cf = CashFlows.Recurring()\n", - " cfParams = {'name': 'FixedOM',\n", - " 'X': 1,\n", - " 'mult_target': None,\n", - " 'inflation': False}\n", - " cf.setParams(cfParams)\n", - "\n", - " # convert to binary mask, includes a zero for year 0 (construction)\n", - " projYears = np.array([y>1 for y in lifeVector], dtype=int)\n", - " projYears = projYears.astype(object)\n", - "\n", - " # 0 for first year (build year) -> TODO couldn't this be automatic?\n", - " alphas = projYears * alpha\n", - " drivers = projYears * driver\n", - "\n", - " # construct annual summary cashflows\n", - " cf.computeYearlyCashflow(alphas, drivers)\n", - " return cf\n", - "\n", - "\n", - "def createRecurringHourly(comp, alpha, driver, projLife):\n", - " \"\"\"\n", - " Constructs recurring cashflow with one value per hour\n", - " @ In, dfSet, tuple, includes pandas.Dataframe, dict of inputs, and pyomo concrete model loaded\n", - " sto run\n", - " @ In, comp, CashFlow.Component, component this cf will belong to\n", - " @ In, driver, string, variable name in df to take driver from\n", - " @ In, alpha, string, variable name in df to take alpha from\n", - " @ Out, comps, dict, dict mapping names to CashFlow component objects\n", - " \"\"\"\n", - " projLife += 1\n", - " print('DEBUGG cRH life:', comp.name, projLife)\n", - " cf = CashFlows.Recurring()\n", - " cfParams = {'name': 'Hourly',\n", - " 'X': 1,\n", - " 'mult_target': None,\n", - " 'inflation': False}\n", - " cf.setParams(cfParams)\n", - " cf.initParams(projLife, pyomoVar=True)\n", - " for year in range(projLife):\n", - " if isinstance(alpha, float):\n", - " cf.computeIntrayearCashflow(year, alpha, driver[year, :])\n", - " else:\n", - " cf.computeIntrayearCashflow(year, alpha[year, :], driver[year, :])\n", - " return cf" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "2df7b4f5", - "metadata": {}, - "outputs": [], - "source": [ - "def getCapexVarFromModel(comp, cfDict, mdl, scenario):\n", - " alpha = cfDict['Value']\n", - " mults = cfDict['Multiplier']\n", - " exprs = cfDict['Expressions']\n", - " assert( len(mults)==len(exprs) ) # NOTE: Multiplier same length as Driver\n", - "\n", - " pyomoExpr = [operator.attrgetter(exprs[i])(scenario) for i in range(len(exprs))]\n", - " driver = [m*pexp for m, pexp in zip(mults, pyomoExpr)]\n", - " driver = driver[0]\n", - " return alpha, driver\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "463cfe9b", - "metadata": {}, - "outputs": [], - "source": [ - "def getDispatchVarFromModel(comp, cfDict, mdl, scenario, ind=None):\n", - " alpha = cfDict['Value']\n", - " mults = cfDict['Multiplier']\n", - " exprs = cfDict['Expressions']\n", - " assert( len(mults)==len(exprs) ) # NOTE: Multiplier same length as Driver\n", - "\n", - " # time indeces for HERON/TEAL\n", - " n_hours = len(mdl.set_time)\n", - " n_days = len(mdl.set_days)\n", - " n_years = len(mdl.set_years)\n", - " n_projLife = mdl.plant_life + 1\n", - "\n", - " yearsMapArray = mdl.yearsFullVec # looks like [0, 2022, 2022, 2022, 2022, ... 2032, ... ]\n", - " \n", - " n_hours_per_year = n_hours * n_days # sometimes number of days refers to clusters < 365\n", - "\n", - " dispatch_array = np.zeros((n_projLife, n_hours_per_year), dtype=object)\n", - "\n", - " indeces = np.array([tuple(i) for i in scenario.period_index], dtype=\"i,i,i\")\n", - " time_shape = (n_years, n_hours_per_year) # reshaping the tuples array to match HERON dispatch\n", - " indeces = indeces.reshape(time_shape)\n", - "\n", - " # currently, taking this to mean that we are using the LMP signal... \n", - " # TODO: needs to be more general here\n", - " if alpha == []:\n", - " signal = mdl.LMP\n", - "\n", - " # # plus 1 to year term to allow for 0 recurring costs during build year\n", - " alpha = np.zeros([n_projLife, n_hours_per_year])\n", - " # it necessary to have alpha be [year, clusterhour] instead of [year, cluster, hour]\n", - " # clusterhour loops through hours first, then cluster\n", - " if mdl.stochastic:\n", - " signal = signal[ind]\n", - " realized_alpha = [[signal[y][d][h] \\\n", - " for d in mdl.set_days\n", - " for h in mdl.set_time] # order here matches *indeces*\n", - " for y in mdl.yearsFullVec[1:]] #shape here is [year, hour]\n", - " # # first column of year axis is 0 for project year 0\n", - " realized_alpha = np.array(realized_alpha)\n", - " alpha[1:,:] = realized_alpha\n", - "\n", - " # TODO: check that all periods and LMPs match up...\n", - " pcount = -1\n", - " for p, pyear in enumerate(yearsMapArray):\n", - " if pyear == 0:\n", - " continue\n", - "\n", - " if pyear > yearsMapArray[p-1]:\n", - " pcount +=1\n", - "\n", - " for time in range(n_hours_per_year):\n", - " ind = tuple(indeces[pcount,time])\n", - " # looping through all DISPATCHES variables pertaining to this specific dispatch\n", - " # e.g., turbine costs due to work done by turbine + compressor, separate variables\n", - " dispatch_driver = 0\n", - " for ds, dStr in enumerate(exprs):\n", - " dispatch_driver += operator.attrgetter(dStr)(scenario.period[ind])[0] * mults[ds]\n", - "\n", - " # getting weights for each day/cluster\n", - " dy, yr = ind[1:]\n", - " weight = mdl.weights_days[yr][dy] # extracting weight for year + day\n", - "\n", - " # storing individual Pyomo dispatch\n", - " dispatch_array[p, time] = dispatch_driver * weight\n", - "\n", - " return alpha, dispatch_array\n" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "e9157024", - "metadata": {}, - "outputs": [], - "source": [ - "def buildTealComponent(name, comp, mdl, scenario=None, scenario_ind=None):\n", - "\n", - " # if scenario is None, we are doing LMP Deterministic\n", - " if scenario is None:\n", - " scenario = mdl\n", - "\n", - " life = comp['Lifetime']\n", - " projLife = len(mdl.set_years) + 1\n", - " tealComp = CashFlows.Component()\n", - " tealComp.setParams({'name': name, \n", - " 'Life_time': comp['Lifetime']})\n", - " cashFlows = []\n", - "\n", - " ## check years vs projLife\n", - "\n", - " for cfName, cfDict in comp.items():\n", - " if cfName == 'Capex':\n", - " alpha, driver = getCapexVarFromModel(comp, cfDict, mdl, scenario)\n", - " capex = createCapex(tealComp, alpha, driver, m.plant_life)\n", - " cashFlows.append(capex)\n", - "\n", - " capex.setAmortization('MACRS', 15)\n", - " amorts = tealComp._createDepreciation(capex)\n", - " cashFlows.extend(amorts)\n", - " \n", - " elif cfName == 'FixedOM':\n", - " alpha, driver = getCapexVarFromModel(comp, cfDict, mdl, scenario)\n", - " fixedOM = createRecurringYearly(tealComp, alpha, driver, mdl.yearsFullVec)\n", - " cashFlows.append(fixedOM)\n", - " \n", - " elif cfName == 'Hourly':\n", - " alpha, driver = getDispatchVarFromModel(comp, cfDict, mdl, scenario, scenario_ind)\n", - " hourly = createRecurringHourly(tealComp, alpha, driver, m.plant_life)\n", - " cashFlows.append(hourly)\n", - " \n", - "\n", - " tealComp.addCashflows(cashFlows)\n", - " return tealComp\n" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "qualified-bargain", - "metadata": {}, - "outputs": [], - "source": [ - "def append_costs_and_revenue(m, ps, LMP):\n", - " \"\"\"\n", - " ps: Object containing information on sets and parameters\n", - " LMP: Dictionary containing the LMP data\n", - " \"\"\"\n", - "\n", - " set_time = ps.set_time # Set of hours\n", - " set_days = ps.set_days # Set of days/clusters\n", - " set_years = ps.set_years # Set of years\n", - " weights_days = ps.weights_days # Weights associated with each cluster\n", - "\n", - " h2_sp = ps.h2_price # Selling price of hydrogen\n", - " plant_life = ps.plant_life # Plant lifetime\n", - " tax_rate = ps.tax_rate # Corporate tax rate\n", - " discount_rate = ps.discount_rate # Discount rate\n", - " \n", - " years_vec = [y - set_years[0] + 1 for y in set_years]\n", - " years_vec.append(plant_life + 1)\n", - " weights_years = {y: sum(1 / (1 + discount_rate) ** i\n", - " for i in range(years_vec[j], years_vec[j + 1]))\n", - " for j, y in enumerate(set_years)}\n", - "\n", - " # PEM CAPEX: $1630/kWh and pem_capacity is in kW,\n", - " # Tank CAPEX: $29/kWh, the LHV of hydrogen is 33.3 kWh/kg,\n", - " # the molecular mass of hydrogen is 2.016e-3 kg/mol and\n", - " # tank_capacity is in moles \n", - " # Turbine CAPEX: $947/kWh and turbine_capacity is in W\n", - " m.capex = Expression(\n", - " expr=(1630 * m.pem_capacity +\n", - " (29 * 33.3 * 2.016e-3) * m.tank_capacity +\n", - " (947 / 1000) * m.h2_turbine_capacity),\n", - " doc=\"Total capital cost (in USD)\"\n", - " )\n", - "\n", - " # Fixed O&M of PEM: $47.9/kW\n", - " # Fixed O&M of turbine: $7/kW\n", - " @m.Expression(set_years,\n", - " doc=\"Fixed O&M cost per year (in USD)\")\n", - " def fixed_om_cost(blk, y):\n", - " return (\n", - " 47.9 * m.pem_capacity + 7e-3 * m.h2_turbine_capacity\n", - " )\n", - "\n", - " # Variable O&M: PEM: $1.3/MWh and turbine: $4.25/MWh\n", - " @m.Expression(set_years,\n", - " doc=\"Total variable O&M cost per year (in USD)\")\n", - " def variable_om_cost(blk, y):\n", - " return (\n", - " (1.3 * 1e-3) * sum(weights_days[y][d] * blk.period[t, d, y].fs.pem.electricity[0]\n", - " for t in set_time for d in set_days) +\n", - " (4.25 * 1e-6) * sum(weights_days[y][d] * (\n", - " - blk.period[t, d, y].fs.h2_turbine.turbine.work_mechanical[0]\n", - " - blk.period[t, d, y].fs.h2_turbine.compressor.work_mechanical[0])\n", - " for t in set_time for d in set_days)\n", - " )\n", - "\n", - " @m.Expression(set_years,\n", - " doc=\"Revenue generated by selling electricity per year (in USD)\")\n", - " def electricity_revenue(blk, y):\n", - " return (\n", - " sum(weights_days[y][d] * LMP[y][d][t] *\n", - " (blk.period[t, d, y].fs.np_power_split.np_to_grid_port.electricity[0] * 1e-3 -\n", - " blk.period[t, d, y].fs.h2_turbine.turbine.work_mechanical[0] * 1e-6 -\n", - " blk.period[t, d, y].fs.h2_turbine.compressor.work_mechanical[0] * 1e-6)\n", - " for t in set_time for d in set_days)\n", - " )\n", - "\n", - " @m.Expression(set_years,\n", - " doc=\"Revenue generated by selling hydrogen per year (in USD)\")\n", - " def h2_revenue(blk, y):\n", - " return (\n", - " h2_sp * 2.016e-3 * 3600 *\n", - " sum(weights_days[y][d] *\n", - " blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0]\n", - " for t in set_time for d in set_days)\n", - " )\n", - "\n", - " @m.Expression(set_years,\n", - " doc=\"Depreciation value per year (in USD)\")\n", - " def depreciation(blk, y):\n", - " return (\n", - " blk.capex / plant_life\n", - " )\n", - "\n", - " @m.Expression(set_years,\n", - " doc=\"Net profit per year (in USD)\")\n", - " def net_profit(blk, y):\n", - " return (\n", - " blk.depreciation[y] + (1 - tax_rate) * (+ blk.h2_revenue[y]\n", - " + blk.electricity_revenue[y]\n", - " - blk.fixed_om_cost[y]\n", - " - blk.variable_om_cost[y]\n", - " - blk.depreciation[y])\n", - " )\n", - "\n", - " m.npv = Expression(\n", - " expr=sum(weights_years[y] * m.net_profit[y] for y in set_years) - m.capex,\n", - " doc=\"Net present value (in USD)\"\n", - " )" - ] - }, - { - "cell_type": "markdown", - "id": "banner-native", - "metadata": {}, - "source": [ - "We now build the remaining constraints and the objective function by calling `build_connecting_constraints` and `append_cost_and_revenue` functions, and solve the optimization problem." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "republican-diagnosis", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "['pem|Lifetime', 'pem|Capex', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Lifetime', 'h2tank|Capex', 'h2turbine|Lifetime', 'h2turbine|Capex', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Lifetime', 'electricity_market|Hourly', 'h2_market|Lifetime', 'h2_market|Hourly']\n" - ] - } - ], - "source": [ - "# using full plant life = 20 yrs\n", - "# LMP signal only uses 2 years... need to resolve when creating recurring cash flows\n", - "tealSettings = build_econ_settings(components,\n", - " life=m.plant_life,\n", - " dr=m.discount_rate,\n", - " tax=m.tax_rate)\n", - "# Build the connecting constraints\n", - "build_connecting_constraints(m, \n", - " set_time=m.set_time, \n", - " set_days=m.set_days,\n", - " set_years=m.set_years)\n", - "\n", - "# Hydrogen demand constraint. divide the RHS by the molecular mass to convert kg/s to mol/s\n", - "@m.Constraint(m.set_time, m.set_days, m.set_years)\n", - "def hydrogen_demand_constraint(blk, t, d, y):\n", - " return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / 2.016e-3" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "c5844dcd", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", - " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", - " 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", - " 0. 0. 0.]\n", - "DEBUGG cRH life: pem 21\n", - "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", - " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", - " 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", - " 0. 0. 0.]\n", - "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", - " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", - " 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", - " 0. 0. 0.]\n", - "DEBUGG cRH life: h2turbine 21\n", - "DEBUGG cRH life: electricity_market 21\n", - "DEBUGG cRH life: h2_market 21\n", - "CashFlow INFO (run): Starting CashFlow Run ...\n", - "CashFlow INFO (run): ... Checking if all drivers present ...\n", - "CashFlow INFO (checkDrivers): ... creating evaluation sequence ...\n", - "CashFlow INFO (checkDrivers): ... evaluation sequence: ['pem|Cap', 'pem|pem_amortize_Cap', 'pem|pem_depreciate_Cap', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Cap', 'h2tank|h2tank_amortize_Cap', 'h2tank|h2tank_depreciate_Cap', 'h2turbine|Cap', 'h2turbine|h2turbine_amortize_Cap', 'h2turbine|h2turbine_depreciate_Cap', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Hourly', 'h2_market|Hourly']\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: electricity_market \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2_market \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): Project Lifetime Cashflow Calculations\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): ... project length: 21 years\n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"pem\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 21\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_amortize_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_amortize_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_depreciate_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_depreciate_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"FixedOM\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Hourly\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2tank\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 21\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_amortize_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_depreciate_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2turbine\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 21\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - 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"CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"FixedOM\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Hourly\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - 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"CashFlow INFO (proj comp): ... component end: 21\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2_market\" CashFlow \"Hourly\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - 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"CashFlow INFO (FCFF): 10: \n", - "CashFlow INFO (FCFF): 11: \n", - "CashFlow INFO (FCFF): 12: \n", - "CashFlow INFO (FCFF): 13: \n", - "CashFlow INFO (FCFF): 14: \n", - "CashFlow INFO (FCFF): 15: \n", - "CashFlow INFO (FCFF): 16: \n", - "CashFlow INFO (FCFF): 17: \n", - "CashFlow INFO (FCFF): 18: \n", - "CashFlow INFO (FCFF): 19: \n", - "CashFlow INFO (FCFF): 20: \n", - "CashFlow INFO (NPV): ... NPV: \n" - ] - }, + { + "cell_type": "markdown", + "id": "organized-peoples", + "metadata": {}, + "source": [ + "Next, we use the `build_multiperiod_design` function to build the constraints $g(u_{t,d}) = 0$ and $h(u_{t,d}) \\le 0$ $\\forall \\; t \\in \\mathcal{T}$ and $\\forall \\; d \\in \\mathcal{C}$. This function creates an instance of the flowsheet (using the `build_ne_flowsheet` function) for each time instance, fixes its degrees of freedom and initializes it (using the `fix_dof_and_initialize` function), and unfixes operational degrees of freedom (using the `unfix_dof` function) described above. Since we are dealing with multiple days/clusters and multiple years (2022 and 2032 LMP signals), we set the `multiple_days` and `multiyear` argument to `True` (see below. Note that the default value of these arguments is `False`). \n", + "\n", + "**Note**: The function, by default, looks for `m.set_time`, `m.set_days` and `m.set_years` objects for the set of hours, days/clusters and years, respectively. However, if the sets are created using a different set of names, then they must be passed to the function explicitly. E.g. `build_multiperiod_design(m, ..., set_time=m.set_time_object, set_days=m.set_days_object, set_years=m.set_years_object)`.\n", + "\n", + "**Tip**: Building the multiperiod model can take some time. So, set `verbose=True` to moniter the progress" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "democratic-aurora", + "metadata": {}, + "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "c:\\Users\\sotogj\\projects\\TEAL\\src\\main.py:418: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " projCf[nonBuildMask] += lifeCf[relativeOperation[relativeOperation!=0]] * taxMult * np.power(inflRate, -1*years[nonBuildMask])\n" + "[ 0.00] Processing input information.\n", + "[+ 0.00] Beginning the formulation of the multiperiod problem.\n", + "[+ 198.92] Completed the formulation of the multiperiod problem\n", + "2022-09-16 09:45:41 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-09-16 09:45:41 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:41 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:41 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-09-16 09:45:41 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:41 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-09-16 09:45:41 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:41 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:41 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-09-16 09:45:41 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:41 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:41 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:41 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-09-16 09:45:42 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:42 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-09-16 09:45:42 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:42 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:42 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:42 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-09-16 09:45:42 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:42 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-09-16 09:45:42 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:42 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-09-16 09:45:42 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:42 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:42 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-16 09:45:42 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-09-16 09:45:42 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-09-16 09:45:43 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:43 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-09-16 09:45:43 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:43 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:43 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-09-16 09:45:43 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:43 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:43 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-16 09:45:43 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-09-16 09:45:43 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:43 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "[+ 4.18] Created an instance of the flowsheet and initialized it.\n", + "[+ 17.69] Initialized the entire multiperiod optimization model.\n", + "[+ 0.42] Unfixed the degrees of freedom from each period model.\n", + "LMP Data less than project life\n" ] } ], "source": [ - "# # Append cash flow expressions\n", - "# append_costs_and_revenue(m,\n", - "# ps=m,\n", - "# LMP=m.LMP)\n", - "#=================================================\n", - "tealComponentList = []\n", - "for name, comp in components.items():\n", - " tealComp = buildTealComponent(name, comp, m)\n", - " tealComponentList.append(tealComp)\n", + "# Build initialized multiperiod model: Constraints g(u(t,d)) = 0 and h(u(t,d)) <= 0\n", + "build_multiperiod_design(m,\n", + " flowsheet=build_ne_flowsheet,\n", + " initialization=fix_dof_and_initialize,\n", + " unfix_dof=unfix_dof,\n", + " multiple_days=True,\n", + " multiyear=True,\n", + " verbose=False)\n" + ] + }, + { + "cell_type": "markdown", + "id": "278dc2a3", + "metadata": {}, + "source": [ + "We now restructure the LMP signal so that it is compatible with TEAL cash flows. \n", + "Namely, the dictionary LMP signal is restructured to contain an entry for all project years.\n", + "For the case of the nominal pricetaker multiperiod notebook, the LMP signal provides 20 years of data. \n", + "However, to cut down computation time, only two years of variables are created: one for 2022 meant to represent and be duplicated for the rest of that decade, the other for 2032 meant to do the same for the following decade of the 20 year project life. \n", "\n", - "metrics = RunCashFlow.run(tealSettings, tealComponentList, {}, pyomoVar=True)\n" + "This simplification is applied within the restructuring of the LMP dictionary below, ensuring that LMP values are repeated. " ] }, { "cell_type": "code", - "execution_count": 21, - "id": "71991e45", + "execution_count": null, + "id": "98ffc68c", "metadata": {}, "outputs": [], "source": [ - "# print(m.npv.expr)\n", - "with open(\"TEAL_output.txt\", \"w\") as text_file:\n", - " # text_file.write(str(m.npv.expr))\n", - " text_file.write(str(metrics['NPV']))" + "restructure_LMP(m)" + ] + }, + { + "cell_type": "markdown", + "id": "suited-development", + "metadata": {}, + "source": [ + "Next, we define \n", + "\n", + "- Function `build_connecting_constraints` to declare the design decisions and to build the constraints $f(u_{t-1,d}, u_{t,d}) = 0$ and $u_{t,d} \\le D$. \n", + "- Function `append_costs_and_revenue` to build expressions for all the cash flows (electricity revenue, hydrogen revenue, fixed O&M, variable O&M, depreciation, etc.)\n", + "\n", + "Observe that we assume (Line 39 in the function below) that each day begins with an empty tank (i.e., zero holdup). This is one of the limitations of working with representative days/clusters. The excess storage at the end of each day cannot be transferred to the following day. This limitation can be overcome by formulating an optimization problem for an entire year, instead of a few representative days. This, however, increases the problem size substantially.\n", + "\n", + "**Note**: It is not necessary to define the above functions for the deterministic case. Nevertheless, we do so because it will be useful for the stochastic case, as we shall see in the next section." ] }, { "cell_type": "code", - "execution_count": 22, - "id": "d7355a37", + "execution_count": 10, + "id": "optimum-closing", + "metadata": {}, + "outputs": [], + "source": [ + "def build_connecting_constraints(m, set_time, set_days, set_years):\n", + " \n", + " \"\"\"\n", + " This function declares the first-stage variables or design decisions,\n", + " adds constraints that ensure that the operational variables never exceed their\n", + " design values, and adds constraints connecting variables at t - 1 and t\n", + " \"\"\"\n", + "\n", + " # Declare first-stage variables (Design decisions)\n", + " m.pem_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Maximum capacity of the PEM electrolyzer (in kW)\")\n", + " m.tank_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Maximum holdup of the tank (in mol)\")\n", + " m.h2_turbine_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Maximum power output from the turbine (in W)\")\n", + "\n", + " # Ensure that the electricity to the PEM elctrolyzer does not exceed the PEM capacity\n", + " @m.Constraint(set_time, set_days, set_years)\n", + " def pem_capacity_constraint(blk, t, d, y):\n", + " return blk.period[t, d, y].fs.pem.electricity[0] <= m.pem_capacity\n", + "\n", + " # Ensure that the final tank holdup does not exceed the tank capacity \n", + " @m.Constraint(set_time, set_days, set_years)\n", + " def tank_capacity_constraint(blk, t, d, y):\n", + " return blk.period[t, d, y].fs.h2_tank.tank_holdup[0] <= m.tank_capacity\n", + "\n", + " # Ensure that the power generated by the turbine does not exceed the turbine capacity\n", + " @m.Constraint(set_time, set_days, set_years)\n", + " def turbine_capacity_constraint(blk, t, d, y):\n", + " return (\n", + " - blk.period[t, d, y].fs.h2_turbine.turbine.work_mechanical[0]\n", + " - blk.period[t, d, y].fs.h2_turbine.compressor.work_mechanical[0] <=\n", + " m.h2_turbine_capacity\n", + " )\n", + "\n", + " # Connect the initial tank holdup at time t with the final tank holdup at time t - 1\n", + " @m.Constraint(set_time, set_days, set_years)\n", + " def tank_holdup_constraints(blk, t, d, y):\n", + " if t == 1:\n", + " # Each day begins with an empty tank\n", + " return (\n", + " blk.period[t, d, y].fs.h2_tank.tank_holdup_previous[0] == 0\n", + " )\n", + " else:\n", + " # Initial holdup at time t = final holdup at time t - 1\n", + " return (\n", + " blk.period[t, d, y].fs.h2_tank.tank_holdup_previous[0] ==\n", + " blk.period[t - 1, d, y].fs.h2_tank.tank_holdup[0]\n", + " )" + ] + }, + { + "cell_type": "markdown", + "id": "499296f9", + "metadata": {}, + "source": [ + "Next, we initialize global Cash flow attributes within TEAL.\n", + "\n", + "This includes passing discount rates, plant life, etc. from the notebook to an object of TEAL \n", + "global parameters. \n", + "\n", + "We also build the remaining constraints and the objective function by calling `build_connecting_constraints` and `append_cost_and_revenue` functions, and solve the optimization problem." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "republican-diagnosis", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['pem|Lifetime', 'pem|Capex', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Lifetime', 'h2tank|Capex', 'h2turbine|Lifetime', 'h2turbine|Capex', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Lifetime', 'electricity_market|Hourly', 'h2_market|Lifetime', 'h2_market|Hourly']\n" + ] + } + ], + "source": [ + "# using full plant life = 20 yrs\n", + "# LMP signal only uses 2 years... need to resolve when creating recurring cash flows\n", + "tealSettings = build_econ_settings(components,\n", + " life=m.plant_life,\n", + " dr=m.discount_rate,\n", + " tax=m.tax_rate)\n", + "# Build the connecting constraints\n", + "build_connecting_constraints(m, \n", + " set_time=m.set_time, \n", + " set_days=m.set_days,\n", + " set_years=m.set_years)\n", + "\n", + "# Hydrogen demand constraint. divide the RHS by the molecular mass to convert kg/s to mol/s\n", + "@m.Constraint(m.set_time, m.set_days, m.set_years)\n", + "def hydrogen_demand_constraint(blk, t, d, y):\n", + " return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / 2.016e-3" + ] + }, + { + "cell_type": "markdown", + "id": "d3c2b13a", + "metadata": {}, + "source": [ + "Here we iterate over all components within the components dictionary. For each component, we build a corresponding TEAL component object which holds all requested cash flows.\n", + "\n", + "Afterwards, we call on TEAL to generate a summed Pyomo expression for all requested economic metrics (e.g., NPV)." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "c5844dcd", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", + " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", + " 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", + " 0. 0. 0.]\n", + "DEBUGG cRH life: pem 21\n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", + " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", + " 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", + " 0. 0. 0.]\n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", + " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", + " 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", + " 0. 0. 0.]\n", + "DEBUGG cRH life: h2turbine 21\n", + "DEBUGG cRH life: electricity_market 21\n", + "DEBUGG cRH life: h2_market 21\n", "CashFlow INFO (run): Starting CashFlow Run ...\n", "CashFlow INFO (run): ... Checking if all drivers present ...\n", "CashFlow INFO (checkDrivers): ... creating evaluation sequence ...\n", @@ -2337,7 +935,7 @@ "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", "CashFlow INFO (run): ==========================================================================================\n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2366,7 +964,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2395,7 +993,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2424,7 +1022,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -2450,7 +1048,7 @@ "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -2477,7 +1075,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2506,7 +1104,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2535,7 +1133,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2564,7 +1162,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2593,7 +1191,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2622,7 +1220,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -2651,7 +1249,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -2677,7 +1275,7 @@ "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -2704,7 +1302,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: electricity_market \n", + "DEBUGG comp: electricity_market \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -2731,7 +1329,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2_market \n", + "DEBUGG comp: h2_market \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -3212,7 +1810,42 @@ "CashFlow INFO (FCFF): 18: \n", "CashFlow INFO (FCFF): 19: \n", "CashFlow INFO (FCFF): 20: \n", - "CashFlow INFO (NPV): ... NPV: \n", + "CashFlow INFO (NPV): ... NPV: \n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\sotogj\\projects\\TEAL\\src\\main.py:418: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", + " projCf[nonBuildMask] += lifeCf[relativeOperation[relativeOperation!=0]] * taxMult * np.power(inflRate, -1*years[nonBuildMask])\n" + ] + } + ], + "source": [ + "# # Append cash flow expressions\n", + "# append_costs_and_revenue(m,\n", + "# ps=m,\n", + "# LMP=m.LMP)\n", + "#=================================================\n", + "tealComponentList = []\n", + "for name, comp in components.items():\n", + " tealComp = build_TEAL_Component(name, comp, m)\n", + " tealComponentList.append(tealComp)\n", + "\n", + "metrics = calculate_TEAL_metrics(tealSettings, tealComponentList)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "d7355a37", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", "tol=1e-06\n", "\n", @@ -3348,7 +1981,7 @@ "Number of equality constraint Jacobian evaluations = 81\n", "Number of inequality constraint Jacobian evaluations = 81\n", "Number of Lagrangian Hessian evaluations = 80\n", - "Total seconds in IPOPT = 260.087\n", + "Total seconds in IPOPT = 253.664\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -3356,18 +1989,15 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212160, 'Number of variables': 211203, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 262.2739043235779}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212160, 'Number of variables': 211203, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 256.0294110774994}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, - "execution_count": 22, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# run TEAL to calculate pyomo expressions for cashflows and metrics\n", - "metrics = RunCashFlow.run(tealSettings, tealComponentList, {}, pyomoVar=True)\n", - "\n", "# Define the objective function\n", "m.obj = Objective(expr=metrics['NPV'], sense=maximize)\n", "\n", @@ -3392,7 +2022,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 14, "id": "scientific-nudist", "metadata": {}, "outputs": [], @@ -3431,7 +2061,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 15, "id": "disabled-invitation", "metadata": {}, "outputs": [ @@ -3472,7 +2102,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 16, "id": "brutal-sigma", "metadata": {}, "outputs": [ @@ -3505,7 +2135,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 17, "id": "brilliant-prairie", "metadata": {}, "outputs": [], @@ -3531,7 +2161,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 18, "id": "previous-sending", "metadata": {}, "outputs": [], @@ -3567,7 +2197,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 19, "id": "lightweight-prediction", "metadata": {}, "outputs": [], @@ -3603,7 +2233,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 20, "id": "returning-moderator", "metadata": {}, "outputs": [ @@ -3613,61 +2243,61 @@ "text": [ "[ 0.00] Processing input information.\n", "[+ 0.00] Beginning the formulation of the multiperiod problem.\n", - "[+ 164.07] Completed the formulation of the multiperiod problem\n", - "2022-09-16 06:23:51 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-09-16 06:23:51 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:51 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:51 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-09-16 06:23:51 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:51 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-09-16 06:23:51 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:51 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:51 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-09-16 06:23:52 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:52 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:52 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:52 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-09-16 06:23:52 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:52 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-09-16 06:23:52 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:52 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:52 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:52 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-09-16 06:23:52 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:52 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-09-16 06:23:52 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:52 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-09-16 06:23:53 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:53 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:53 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-16 06:23:53 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-09-16 06:23:53 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-09-16 06:23:53 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:53 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-09-16 06:23:53 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:53 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:53 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-09-16 06:23:53 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:53 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:54 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-09-16 06:23:55 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:55 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 06:23:55 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-16 06:23:55 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", - "[+ 4.41] Created an instance of the flowsheet and initialized it.\n", - "[+ 17.31] Initialized the entire multiperiod optimization model.\n", + "[+ 164.87] Completed the formulation of the multiperiod problem\n", + "2022-09-16 09:54:03 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-09-16 09:54:03 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:03 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:03 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-09-16 09:54:03 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:03 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-09-16 09:54:03 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:03 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:03 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-09-16 09:54:03 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:03 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:03 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:03 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-09-16 09:54:03 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:03 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-09-16 09:54:04 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:04 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:04 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:04 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-09-16 09:54:04 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:04 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-09-16 09:54:04 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:04 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-09-16 09:54:04 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:04 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:04 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-16 09:54:04 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-09-16 09:54:04 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-09-16 09:54:06 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-16 09:54:06 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-09-16 09:54:06 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:06 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-09-16 09:54:06 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:06 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:06 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-09-16 09:54:06 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:06 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-16 09:54:06 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-16 09:54:06 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "[+ 4.27] Created an instance of the flowsheet and initialized it.\n", + "[+ 17.39] Initialized the entire multiperiod optimization model.\n", "[+ 0.36] Unfixed the degrees of freedom from each period model.\n" ] } @@ -3694,7 +2324,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 21, "id": "elder-victoria", "metadata": {}, "outputs": [ @@ -3734,7 +2364,7 @@ "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", "CashFlow INFO (run): ==========================================================================================\n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -3763,7 +2393,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -3792,7 +2422,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -3821,7 +2451,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -3847,7 +2477,7 @@ "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -3874,7 +2504,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -3903,7 +2533,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -3932,7 +2562,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -3961,7 +2591,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -3990,7 +2620,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -4019,7 +2649,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -4048,7 +2678,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -4074,7 +2704,7 @@ "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -4101,7 +2731,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: electricity_market \n", + "DEBUGG comp: electricity_market \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -4128,7 +2758,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2_market \n", + "DEBUGG comp: h2_market \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -4640,7 +3270,7 @@ "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", "CashFlow INFO (run): ==========================================================================================\n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -4669,7 +3299,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -4698,7 +3328,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -4727,7 +3357,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -4753,7 +3383,7 @@ "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", + "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -4780,7 +3410,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -4809,7 +3439,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -4838,7 +3468,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", + "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -4867,7 +3497,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -4896,7 +3526,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -4925,7 +3555,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -4954,7 +3584,7 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -4980,7 +3610,7 @@ "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", + "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -5007,7 +3637,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: electricity_market \n", + "DEBUGG comp: electricity_market \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -5034,7 +3664,7 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2_market \n", + "DEBUGG comp: h2_market \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -5520,8 +4150,6 @@ } ], "source": [ - "# using full plant life = 20 yrs\n", - "# LMP signal only uses 2 years... need to resolve when creating recurring cash flows\n", "tealSettings = build_econ_settings(components,\n", " life=m.plant_life,\n", " dr=m.discount_rate,\n", @@ -5538,10 +4166,11 @@ " # Append cash flow expressions\n", " tealComponentList = []\n", " for name, comp in components.items():\n", - " tealComp = buildTealComponent(name, comp, m, m.scenario[s], s)\n", + " tealComp = build_TEAL_Component(name, comp, m, m.scenario[s], s)\n", " tealComponentList.append(tealComp)\n", "\n", - " metrics_list.append(RunCashFlow.run(tealSettings, tealComponentList, {}, pyomoVar=True))\n", + " metrics = calculate_TEAL_metrics(tealSettings, tealComponentList)\n", + " metrics_list.append(metrics)\n", " \n", " # Hydrogen demand constraint. \n", " # Divide the RHS by the molecular mass to convert kg/s to mol/s\n", @@ -5553,7 +4182,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 22, "id": "suburban-radar", "metadata": {}, "outputs": [], @@ -5581,18 +4210,10 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 23, "id": "liberal-riverside", "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\Users\\sotogj\\Miniconda3\\envs\\raven_libraries\\lib\\site-packages\\ipykernel_launcher.py:3: DeprecationWarning: Calling np.sum(generator) is deprecated, and in the future will give a different result. Use np.sum(np.fromiter(generator)) or the python sum builtin instead.\n", - " This is separate from the ipykernel package so we can avoid doing imports until\n" - ] - }, { "name": "stdout", "output_type": "stream", @@ -5736,7 +4357,7 @@ "Number of equality constraint Jacobian evaluations = 85\n", "Number of inequality constraint Jacobian evaluations = 85\n", "Number of Lagrangian Hessian evaluations = 84\n", - "Total seconds in IPOPT = 267.914\n", + "Total seconds in IPOPT = 266.364\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -5744,18 +4365,18 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212166, 'Number of variables': 211209, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 270.38246846199036}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212166, 'Number of variables': 211209, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 268.50064039230347}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, - "execution_count": 32, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# pyomo expression for full metric wtih scenario weights applied\n", - "TEALMetric = np.sum( m.weights_scenarios[n] * scenario['NPV'] \n", - " for n, scenario in enumerate(metrics_list) )\n", + "TEALMetric = sum( m.weights_scenarios[n] * scenario['NPV'] \n", + " for n, scenario in enumerate(metrics_list) )\n", "\n", "# Define the objective function\n", "m.obj = Objective(expr=TEALMetric, sense=maximize)\n", @@ -5769,7 +4390,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 24, "id": "civil-celebration", "metadata": {}, "outputs": [ @@ -5792,7 +4413,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 25, "id": "protecting-asthma", "metadata": {}, "outputs": [ From 5bd4bff3f859b4e0bbda5b73ecdf618f853dd6e2 Mon Sep 17 00:00:00 2001 From: annawrobe <89105484+annawrobe@users.noreply.github.com> Date: Tue, 20 Sep 2022 09:58:50 -0600 Subject: [PATCH 09/29] added ROM sampling, some bugs remain --- ...riod_design_pricetaker_wTEALwSynhist.ipynb | 1606 +++++++++++++++++ 1 file changed, 1606 insertions(+) create mode 100644 dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALwSynhist.ipynb diff --git a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALwSynhist.ipynb b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALwSynhist.ipynb new file mode 100644 index 000000000..8e8881275 --- /dev/null +++ b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALwSynhist.ipynb @@ -0,0 +1,1606 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "naval-employment", + "metadata": {}, + "source": [ + "# Integrated Energy Systems: Nuclear Case Study with TEAL Cashflows\n" + ] + }, + { + "cell_type": "markdown", + "id": "052896d1", + "metadata": {}, + "source": [ + "Before running this notebook, we have to get RAVEN and DISPATCHES to play along together. \n", + "The easiest way, as of 8/19/2022, is to first install RAVEN and all its dependencies into a dedicated conda environment. \n", + "Then install DISPATCHES within that environment. Installation guides for [RAVEN](github.com:idaholab/raven.git) and [DISPATCHES](https://github.com/gmlc-dispatches/dispatches) can be found in their respective Github repositories, but the major steps are summarized below:\n", + "\n", + " ```bash\n", + " # assuming git cloning with SSH key, can substitute HTML cloning\n", + " git clone git@github.com:idaholab/raven.git\n", + " git clone git@github.com:gmlc-dispatches/dispatches.git\n", + "\n", + " cd raven\n", + "\n", + " # if you haven't installed RAVEN yet:\n", + " ./scripts/establish_conda_env.sh --install\n", + " # else, activate the environment\n", + " conda activate raven_libraries\n", + "\n", + " # load raven libraries (if on Windows and using Anaconda Prompt, run 'conda install m2-base' to get sh command)\n", + " sh ./scripts/establish_conda_env.sh --load\n", + "\n", + " cd ../dispatches \n", + "\n", + " # usually got an SSL certificate error, fix is to add github to trusted hosts\n", + " python -m pip install -r requirements-dev.txt --trusted-host=codeload.github.com\n", + "\n", + " ```\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "automated-antigua", + "metadata": {}, + "outputs": [ + { + "ename": "SyntaxError", + "evalue": "invalid syntax (3084436293.py, line 4)", + "output_type": "error", + "traceback": [ + "\u001b[1;36m Input \u001b[1;32mIn [5]\u001b[1;36m\u001b[0m\n\u001b[1;33m sys.path.append(C:\\projects\\raven)\u001b[0m\n\u001b[1;37m ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n" + ] + } + ], + "source": [ + "# General python imports\n", + "import json\n", + "\n", + "sys.path.append(C:\\projects\\raven)\n", + "\n", + "# Pyomo imports\n", + "from pyomo.environ import (ConcreteModel,\n", + " RangeSet,\n", + " Var,\n", + " NonNegativeReals,\n", + " Constraint,\n", + " Expression,\n", + " Objective,\n", + " maximize,\n", + " units as pyunits)\n", + "\n", + "# IDAES imports\n", + "from idaes.core.solvers import get_solver\n", + "from idaes.core.util.model_statistics import degrees_of_freedom\n", + "\n", + "# Nuclear flowsheet function imports\n", + "from dispatches.case_studies.nuclear_case.nuclear_flowsheet import (build_ne_flowsheet,\n", + " fix_dof_and_initialize)\n", + "\n", + "# Import function for the construction of the multiperiod model\n", + "from dispatches.case_studies.nuclear_case.multiperiod import (\n", + " build_multiperiod_design,\n", + " plot_lmp_and_schedule)" + ] + }, + { + "cell_type": "markdown", + "id": "72522d0d", + "metadata": {}, + "source": [ + "### TEAL: Adding TEAL to path and importing Cashflows \n", + "\n", + "Note you have to run this using the *raven_libraries* Python environment for now. Within that environment, you should install *dispatches*" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e3e331c5", + "metadata": {}, + "outputs": [], + "source": [ + "import os.path as path \n", + "import os, sys\n", + "cwd = os.getcwd()\n", + "proj_dir = path.dirname( path.abspath( path.join(cwd, '../../..') ) )\n", + "TEAL_dir = path.abspath( path.join(proj_dir, 'TEAL') )\n", + "raven_dir = path.abspath( path.join(proj_dir, 'raven') )\n", + "sys.path.append( proj_dir )\n", + "sys.path.append( TEAL_dir )\n", + "sys.path.append( raven_dir )\n", + "sys.path.append( path.abspath( path.join(TEAL_dir, 'src') ) )\n", + "\n", + "from TEAL.src import CashFlows\n", + "from TEAL.src import main as RunCashFlow" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "690496c3", + "metadata": {}, + "outputs": [], + "source": [ + "cwd\n", + "proj_dir\n", + "TEAL_dir\n", + "raven_dir" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3457bc50", + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "import os\n", + "import numpy as np\n", + "import cloudpickle as pk\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "\n", + "\n", + "# add romLoader to path\n", + "sys.path.append(path.abspath(path.join(raven_dir, 'scripts')))\n", + "sys.path.append(path.abspath(path.join(raven_dir, 'plugins')))\n", + "sys.path.append(raven_dir)\n", + "from ravenframework.utils import xmlUtils\n", + "import externalROMloader\n", + "\n", + "#create\n", + "targetFile = \"C:/projects/arma.pk\"\n", + "runner = externalROMloader.ravenROMexternal(targetFile, raven_dir)\n", + "\n", + "#run\n", + "inp = {'scaling': [1]}" + ] + }, + { + "cell_type": "markdown", + "id": "centered-tamil", + "metadata": {}, + "source": [ + "## Simulation of the Flowsheet\n", + "\n", + "Before we formulate the multiperiod optimization problem, we first simulate the nuclear flowsheet and print some results. This helps the reader to familiarize themselves with the names, along with their default units, of a few important variables. The readers are encouraged to go through the `nuclear_flowsheet.py` script. It contains the function `build_ne_flowsheet` which assembles models for all the units in the flowsheet, and connects them via `Arc` objects. It also contains the function `fix_dof_and_initialize` which fixes the degrees of freedom and initializes the entire flowsheet.\n", + "\n", + "The flowsheet has four degrees of freedom viz.,\n", + "\n", + "- Split fraction of electricity to the grid in the power splitter (variable `m.fs.np_power_split.split_fraction[\"np_to_grid\", 0]` in the model). We fix this variable to 0.8.\n", + "- Molar flowrate of hydrogen to the pipeline (variable `m.fs.h2_tank.outlet_to_pipeline.flow_mol[0]`). We fix this variable to 10 mol/s.\n", + "- Molar flowrate of hydrogen to the turbine (variable `m.fs.h2_tank.outlet_to_turbine.flow_mol[0]`). We fix this variable to 10 mol/s.\n", + "- Initial holdup of hydrogen in the tank (variable `m.fs.h2_tank.tank_holdup_previous[0]`). We fix this variable to 0 mol.\n", + "\n", + "These variables are fixed in the `fix_dof_and_initialize` function. In addition to the above three variables, we also fix the variables shown in the table below. We do not refer these variables as degrees of freedom, because they remain fixed at these values in the multiperiod optimization model.\n", + "\n", + "| Name | Variable | Value |\n", + "| :- | :- | :-: |\n", + "| Pressure difference across `h2_turbine`'s compressor | `m.fs.h2_turbine.compressor.deltaP` | 24.01 bar |\n", + "| Isentropic efficiency of `h2_turbine`'s compressor | `m.fs.h2_turbine.compressor.efficiency_isentropic` | 0.86 |\n", + "| Conversion of hydrogen in `h2_turbine`'s reactor | `m.fs.h2_turbine.stoic_reactor.conversion` | 0.99 |\n", + "| Pressure deifference across `h2_turbine`'s turbine | `m.fs.h2_turbine.turbine.deltaP` | -24.01 bar |\n", + "| Isentripic efficiency of `h2_turbine`'s turbine | `m.fs.h2_turbine.turbine.efficiency_isentropic` | 0.89 |\n", + "| Molar flow rate of air to `h2_turbine` | `m.fs.mixer.air_feed.flow_mol[0]` | 10.76 * molar flowrate of hydrogen to turbine |\n", + "| Temperature of air | `m.fs.mixer.air_feed.temperature[0]` | 300 K |\n", + "| Pressure of air | `m.fs.mixer.air_feed_pressure[0]` | 1.01325 bar |\n", + "| Duration of the simulation for `h2_tank` | `m.fs.h2_tank.dt` | 3600 s |\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "annoying-myrtle", + "metadata": { + "scrolled": false + }, + "outputs": [], + "source": [ + "# Create a concrete model object\n", + "m = ConcreteModel()\n", + "\n", + "# Build the nuclear flowsheet\n", + "build_ne_flowsheet(m)\n", + "\n", + "# Fix the degrees of freedom and initialize\n", + "fix_dof_and_initialize(m)\n", + "\n", + "# Ensure that the resulting model is a square problem i.e., its degrees of freedom must be 0\n", + "print(\"Degrees of freedom: \", degrees_of_freedom(m))\n", + "assert degrees_of_freedom(m) == 0\n", + "\n", + "# Create a solver object with the default solver (IPOPT)\n", + "solver = get_solver()\n", + "\n", + "# Simulate the entire flowsheet\n", + "solver.solve(m, tee=True)" + ] + }, + { + "cell_type": "markdown", + "id": "average-replacement", + "metadata": {}, + "source": [ + "Verify that IPOPT converges to the optimal solution. Next, we print some results. Note the names of the variables and their default units (we use Pyomo's `units`, imported as `pyunits`, to obtain the units of a variable). Units are needed to correctly define the cash flow expressions later." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "animal-astronomy", + "metadata": {}, + "outputs": [], + "source": [ + "def get_units(obj):\n", + " return str(pyunits.get_units(obj))\n", + "\n", + "# Print results: power splitter\n", + "print(\"Nuclear plant power production : \", m.fs.np_power_split.electricity[0].value,\n", + " get_units(m.fs.np_power_split.electricity[0]))\n", + "print(\"Electricity to grid : \", m.fs.np_power_split.np_to_grid_port.electricity[0].value,\n", + " get_units(m.fs.np_power_split.np_to_grid_port.electricity[0]))\n", + "print(\"Electricity to PEM : \", m.fs.np_power_split.np_to_pem_port.electricity[0].value,\n", + " get_units(m.fs.np_power_split.np_to_pem_port.electricity[0]))\n", + "print()\n", + "\n", + "# Print results: PEM electrolyzer\n", + "print(\"Flowrate of H2 from pem : \", m.fs.pem.outlet.flow_mol[0].value,\n", + " get_units(m.fs.pem.outlet.flow_mol[0]))\n", + "print()\n", + "\n", + "# Print results: Hydrogen tank\n", + "print(\"Flowrate of H2 to tank : \", m.fs.h2_tank.inlet.flow_mol[0].value,\n", + " get_units(m.fs.h2_tank.inlet.flow_mol[0]))\n", + "print(\"Flowrate of H2 to pipeline : \", m.fs.h2_tank.outlet_to_pipeline.flow_mol[0].value,\n", + " get_units(m.fs.h2_tank.outlet_to_pipeline.flow_mol[0]))\n", + "print(\"Flowrate of H2 to turbine : \", m.fs.h2_tank.outlet_to_turbine.flow_mol[0].value,\n", + " get_units(m.fs.h2_tank.outlet_to_turbine.flow_mol[0]))\n", + "print(\"Initial tank holdup : \", m.fs.h2_tank.tank_holdup_previous[0].value,\n", + " get_units(m.fs.h2_tank.tank_holdup_previous[0]))\n", + "print(\"Tank holdup at the end of 1 hr : \", m.fs.h2_tank.tank_holdup[0].value,\n", + " get_units(m.fs.h2_tank.tank_holdup[0]))\n", + "\n", + "# Print results: Hydrogen Turbine\n", + "print(\"H2 Turbine's compressor work : \", m.fs.h2_turbine.compressor.work_mechanical[0].value,\n", + " get_units(m.fs.h2_turbine.compressor.work_mechanical[0]))\n", + "print(\"H2 Turbine's turbine work : \", m.fs.h2_turbine.turbine.work_mechanical[0].value,\n", + " get_units(m.fs.h2_turbine.turbine.work_mechanical[0]))\n", + "print(\"Net power produced by turbine : \", (- m.fs.h2_turbine.turbine.work_mechanical[0].value\n", + " - m.fs.h2_turbine.compressor.work_mechanical[0].value),\n", + " get_units(m.fs.h2_turbine.compressor.work_mechanical[0]))" + ] + }, + { + "cell_type": "markdown", + "id": "accessory-paris", + "metadata": {}, + "source": [ + "Observe that the power variables in the power splitter model and the PEM electrolyzer model use kW. Whereas, the power variables (mechanical work) use in the hydrogen turbine model use W. This complete the simulation of the flowsheet. Before proceeding further, we delete the object `m` to avoid confusion" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "guilty-appliance", + "metadata": {}, + "outputs": [], + "source": [ + "# Delete the object containing the flowsheet\n", + "del m" + ] + }, + { + "cell_type": "markdown", + "id": "alert-packing", + "metadata": {}, + "source": [ + "## Multiperiod Optimization Model: Deterministic\n", + "\n", + "### LMP Signal\n", + "Our objective is to determine the optimal size of the PEM, tank and turbine maximizing the NPV for a given 'market signal'. Throughout the notebook, by market signal or price signal, we refer to the locational marginal price (LMP) (selling price of electricity, in $/MWh) as a function of time. The LMP depends on several factors such as weather, demand, generator mix of the grid, and so forth. Owing to the uncertain nature of some those factors, it is not possible to predict the exact value of the LMP way into the future. Nevertheless, in this section, we **assume that the LMP signal is accurate** (i.e., there is no uncertainty in the price). Later, we show how the same framework/workflow can be used to easily formulate a stochastic program to handle the uncertainty in the price signal. \n", + "\n", + "Here, we use the LMP data contained in the file `lmp_signal.json`. This dataset is generated by FORCE (link goes here) using the 2019/2020 New York Independent System Operator (NYISO) price data. FORCE divides the 365 days of a year into a specified number of clusters (20, in our case), and generates the LMP signal for each cluster (Note that the LMP signal is the same for all the days of a cluster). The figure below plots the LMP signal for cluster 1 (left) and cluster 8.\n", + "\n", + "![](sample_lmp_plots.png)\n", + "\n", + "As evident from the figure, the price can vary significantly in a day, and from cluster to cluster. Given the variation, we are interested in determining if producing hydrogen, especially during the periods when LMP is low, is attractive or not. \n", + "\n", + "For the demonstration, we do not use the entire dataset in `lmp_signal.json`. Instead, we use the LMP signal only for the years 2022 and 2032. We assume that the plant lifetime is twenty years. We use the 2022 LMP signal for the first ten years (i.e., 2022 - 2031), and the 2032 LMP signal for the next ten years (i.e., 2032 - 2041). If desired, the LMP data for the intermediate years can be easily included in the model with a slight modification to the code." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "involved-skill", + "metadata": {}, + "outputs": [], + "source": [ + "# Sample the external ROMloader\n", + "for i in range(5):\n", + " lmp_dataset = runner.evaluate(inp)[0]\n", + "\n", + "#plot\n", + "n_rows=5\n", + "n_cols=2\n", + "fig, axes = plt.subplots(n_rows, n_cols)\n", + "flat_ax = axes.flatten() \n", + "\n", + "for i in range(10):\n", + " res = runner.evaluate(inp)[0]\n", + " for y, time in enumerate(res['Signal']):\n", + " print(y, time)\n", + " ax=flat_ax[y]\n", + " ax.plot(res['Signal'][y], label=i)\n", + " ax.legend()\n", + "\n", + "ax.set_ylabel('Signal')\n", + "ax.set_xlabel('Time')\n", + "plt.show()\n", + " \n", + "# Gather the LMP data needed for the deterministic case\n", + "# Notation: lmp_dataset[scenario][year][cluster/day][time/hour]\n", + "syn_histories = {year: {cluster: {hour: lmp_dataset[\"0\"][str(year)][str(cluster)][str(hour)]\n", + " for hour in range(1, 25)} \n", + " for cluster in range(1, 21)}\n", + " for year in [2022, 2032]}\n", + "\n", + "# Size of each cluster/number of days in a year represented by the cluster\n", + "weights_days = {year: {cluster: lmp_dataset[str(0)][str(year)][str(cluster)][\"num_days\"]\n", + " for cluster in range(1, 21)}\n", + " for year in [2022, 2032]}\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c8753800", + "metadata": {}, + "outputs": [], + "source": [ + "lmp_dataset['_indexMap']" + ] + }, + { + "cell_type": "markdown", + "id": "boxed-pattern", + "metadata": {}, + "source": [ + "Now, we formulate the multi-period price-taker problem to determine the optimal design and operating decisions maximizing the NPV. The optimization problem is of the form\n", + "$$ \\begin{aligned}\n", + "\\max_{D, u_{t, d}} \\quad & \\text{NPV}(D, u_{t, d})\\\\\n", + "& g(u_{t, d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", + "& h(u_{t, d}) \\le 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", + "& f(u_{t-1,d}, u_{t,d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", + "& u_{t,d} \\le D, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}\n", + "\\end{aligned}$$\n", + "\n", + "Here, the sets $\\mathcal{T} = \\{1, \\dots, 24\\}$ and $\\mathcal{C} = \\{1, \\dots, 20\\}$ denote the set of hours in a day and the set of clusters/days in a year, respectively. $D$ denotes the design decisions (or, first-stage variables) viz. size of the PEM electrolyzer (`pem_capacity`), tank (`tank_capacity`) and the turbine (`turbine_capacity`). $u_{t, d}$ denotes the operating decisions (or, second-stage decisions) at time $t$ of day/cluster $d$. $g(u_{t, d}) = 0$ and $h(u_{t,d}) \\le 0$ denote the flowsheet model, $f(u_{t-1,d}, u_{t,d}) = 0$ connects the operating decisions at time $t-1$ and at time $t$ (e.g., tank holdup), and $u_{t,d} \\le D$ ensures that the operating decision values never exceed the design capacity values (e.g., tank holdup at any time instant must not exceed the tank capacity).\n", + "\n", + "First, we create a `ConcreteModel` object, and define sets and parameters" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "driven-allah", + "metadata": {}, + "outputs": [], + "source": [ + "# Create a ConcreteModel object\n", + "m = ConcreteModel()\n", + "\n", + "# Define sets\n", + "m.set_time = RangeSet(24) # twenty fours in a day\n", + "m.set_days = RangeSet(20) # twenty clusters/days per year\n", + "m.set_years = [2022, 2032] # Set of years\n", + "\n", + "# Define parameters\n", + "m.plant_life = 20 # Plant lifetime: 20 years\n", + "m.tax_rate = 0.2 # Corporate tax rate: 20%\n", + "m.discount_rate = 0.08 # Discount rate: 8%\n", + "m.h2_price = 3 # Selling price of hydrogen: $3/kg\n", + "m.h2_demand = 1 # Maximum amount of hydrogen that can be sold: 1 kg/s\n", + "m.LMP = syn_histories # LMP signal\n", + "m.weights_days = weights_days # number of days represented by each cluster" + ] + }, + { + "cell_type": "markdown", + "id": "167b5f29", + "metadata": {}, + "source": [ + "This might be a temporary cell, but checking to see if the amount of years supplied by the LMP data match the desired project length/plant life.\n", + "In the future, project length and plant lifetime should be separate entities. \n", + "Should also figure out multiplicity (least common multiple) of plant lives. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1cf94ff3", + "metadata": {}, + "outputs": [], + "source": [ + "# checking if number of years provided in data match plant_life\n", + "import numpy as np\n", + "\n", + "# list of available years in LMP data\n", + "years = list( m.LMP.keys() )\n", + "n_years_data = len(years)\n", + "\n", + "# template dictionary full of 0s, same structure as LMP\n", + "zeroDict = {cluster: {hour: 0\n", + " for hour in m.set_time} \n", + " for cluster in m.set_days}\n", + "\n", + "## CHECKING THAT WE HAVE ENOUGH DATA FOR SIM ##\n", + "\n", + "# Case where we have less data than the project life/sim time\n", + "# Here, we assume (as in the default nuclear case demo) that\n", + "# the years 2022-2031 all have the same LMP data, which\n", + "# helps to cut down on variables just for the demonstration\n", + "if n_years_data < m.plant_life:\n", + " print(\"LMP Data less than project life\")\n", + " projLifeRange = np.arange( years[0]-1, # year-1 is the construction year\n", + " years[0] + m.plant_life) # full project time with first year of data as starting point\n", + "\n", + " # initializing empty dicts and lists\n", + " newLMP = {} # going to replace existing LMP dictionary\n", + " newYearsVec = [] # list of years used\n", + " stuckYear = 0 # ugly way of duplicating years\n", + "\n", + " # looping through possible years in lifetime (e.g., 2021 -> 2041)\n", + " for i,y in enumerate(projLifeRange):\n", + " # data not available for given year within project lifetime\n", + " if y not in years:\n", + " if i == 0: # construction year\n", + " newLMP[y] = zeroDict\n", + " newYearsVec.append(0)\n", + " else: # duplicate previous year's values\n", + " newLMP[y] = newLMP[y-1]\n", + " newYearsVec.append(stuckYear)\n", + " # data for current year is available in LMP dict\n", + " else:\n", + " stuckYear = y # update year for duplication (word?)\n", + " newLMP[y] = m.LMP[y] # keep current LMP value\n", + " newYearsVec.append(y) # update current year\n", + " \n", + " # save to model object\n", + " m.LMP = newLMP\n", + " m.yearsFullVec = newYearsVec\n", + "\n", + "elif n_years_data > m.plant_life:\n", + " print(\"LMP Data more than project life, must curtail.\")\n", + " # TODO fill this out\n", + "else:\n", + " print(\"LMP Data matches project life\")\n", + " # TODO fill this out\n", + " # years.insert(0,0)" + ] + }, + { + "cell_type": "markdown", + "id": "august-rings", + "metadata": {}, + "source": [ + "As we saw earlier, functions `build_ne_flowsheet` and `fix_dof_and_initialize` yield an initialized square model of the nuclear flowsheet. For the multi-period optimization problem, we now construct a function that can be used to unfix a few degrees of freedom for optimization. The function below\n", + "\n", + "- Unfixes the split fractions of the power splitter. The optimizer then determines the optimal split fraction of the electricity to the grid, and to the PEM electrolyzer.\n", + "- Unfixes the initial tank holdup. The initial tank holdup is governed by the final tank holdup at the previous hour.\n", + "- Unfixes the molar flow rate of hydrogen to the turbine and to the pipeline.\n", + "- Unfixes the molar flow rate of air to the turbine.\n", + "- Adds a constraint to fix the ratio of molar flow rate of air to molar flowrate of hydrogen (fuel-air ratio).\n", + "- Specifies a small non-zero bounds on a few flow variables to avoid convergence issues." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "senior-multimedia", + "metadata": {}, + "outputs": [], + "source": [ + "def unfix_dof(m, **kwargs):\n", + " \"\"\"\n", + " This function unfixes a few degrees of freedom for optimization\n", + " \"\"\"\n", + " # Set defaults in case options are not passed to the function\n", + " options = kwargs.get(\"options\", {})\n", + " air_h2_ratio = options.get(\"air_h2_ratio\", 10.76)\n", + " \n", + " # Unfix the electricity split in the electrical splitter\n", + " m.fs.np_power_split.split_fraction[\"np_to_grid\", 0].unfix()\n", + "\n", + " # Unfix the holdup_previous and outflow variables\n", + " m.fs.h2_tank.tank_holdup_previous.unfix()\n", + " m.fs.h2_tank.outlet_to_turbine.flow_mol.unfix()\n", + " m.fs.h2_tank.outlet_to_pipeline.flow_mol.unfix()\n", + "\n", + " # Unfix the flowrate of air to the mixer\n", + " m.fs.mixer.air_feed.flow_mol.unfix()\n", + "\n", + " # Add a constraint to maintain the air to hydrogen flow ratio\n", + " m.fs.mixer.air_h2_ratio = Constraint(\n", + " expr=m.fs.mixer.air_feed.flow_mol[0] ==\n", + " air_h2_ratio * m.fs.mixer.hydrogen_feed.flow_mol[0])\n", + " \n", + " # Set bounds on variables. A small non-zero value is set as the lower \n", + " # bound on molar flowrates to avoid convergence issues\n", + " m.fs.pem.outlet.flow_mol[0].setlb(0.001)\n", + "\n", + " m.fs.h2_tank.inlet.flow_mol[0].setlb(0.001)\n", + " m.fs.h2_tank.outlet_to_turbine.flow_mol[0].setlb(0.001)\n", + " m.fs.h2_tank.outlet_to_pipeline.flow_mol[0].setlb(0.001)\n", + "\n", + " m.fs.translator.inlet.flow_mol[0].setlb(0.001)\n", + " m.fs.translator.outlet.flow_mol[0].setlb(0.001)\n", + "\n", + " m.fs.mixer.hydrogen_feed.flow_mol[0].setlb(0.001)" + ] + }, + { + "cell_type": "markdown", + "id": "organized-peoples", + "metadata": {}, + "source": [ + "Next, we use the `build_multiperiod_design` function to build the constraints $g(u_{t,d}) = 0$ and $h(u_{t,d}) \\le 0$ $\\forall \\; t \\in \\mathcal{T}$ and $\\forall \\; d \\in \\mathcal{C}$. This function creates an instance of the flowsheet (using the `build_ne_flowsheet` function) for each time instance, fixes its degrees of freedom and initializes it (using the `fix_dof_and_initialize` function), and unfixes operational degrees of freedom (using the `unfix_dof` function) described above. Since we are dealing with multiple days/clusters and multiple years (2022 and 2032 LMP signals), we set the `multiple_days` and `multiyear` argument to `True` (see below. Note that the default value of these arguments is `False`). \n", + "\n", + "**Note**: The function, by default, looks for `m.set_time`, `m.set_days` and `m.set_years` objects for the set of hours, days/clusters and years, respectively. However, if the sets are created using a different set of names, then they must be passed to the function explicitly. E.g. `build_multiperiod_design(m, ..., set_time=m.set_time_object, set_days=m.set_days_object, set_years=m.set_years_object)`.\n", + "\n", + "**Tip**: Building the multiperiod model can take some time. So, set `verbose=True` to moniter the progress" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "democratic-aurora", + "metadata": {}, + "outputs": [], + "source": [ + "# Build initialized multiperiod model: Constraints g(u(t,d)) = 0 and h(u(t,d)) <= 0\n", + "build_multiperiod_design(m,\n", + " flowsheet=build_ne_flowsheet,\n", + " initialization=fix_dof_and_initialize,\n", + " unfix_dof=unfix_dof,\n", + " multiple_days=True,\n", + " multiyear=True,\n", + " verbose=False)" + ] + }, + { + "cell_type": "markdown", + "id": "suited-development", + "metadata": {}, + "source": [ + "Next, we define \n", + "\n", + "- Function `build_connecting_constraints` to declare the design decisions and to build the constraints $f(u_{t-1,d}, u_{t,d}) = 0$ and $u_{t,d} \\le D$. \n", + "- Function `append_costs_and_revenue` to build expressions for all the cash flows (electricity revenue, hydrogen revenue, fixed O&M, variable O&M, depreciation, etc.)\n", + "\n", + "Observe that we assume (Line 39 in the function below) that each day begins with an empty tank (i.e., zero holdup). This is one of the limitations of working with representative days/clusters. The excess storage at the end of each day cannot be transferred to the following day. This limitation can be overcome by formulating an optimization problem for an entire year, instead of a few representative days. This, however, increases the problem size substantially.\n", + "\n", + "**Note**: It is not necessary to define the above functions for the deterministic case. Nevertheless, we do so because it will be useful for the stochastic case, as we shall see in the next section." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "optimum-closing", + "metadata": {}, + "outputs": [], + "source": [ + "def build_connecting_constraints(m, set_time, set_days, set_years):\n", + " \n", + " \"\"\"\n", + " This function declares the first-stage variables or design decisions,\n", + " adds constraints that ensure that the operational variables never exceed their\n", + " design values, and adds constraints connecting variables at t - 1 and t\n", + " \"\"\"\n", + "\n", + " # Declare first-stage variables (Design decisions)\n", + " m.pem_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Maximum capacity of the PEM electrolyzer (in kW)\")\n", + " m.tank_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Maximum holdup of the tank (in mol)\")\n", + " m.h2_turbine_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Maximum power output from the turbine (in W)\")\n", + "\n", + " # Ensure that the electricity to the PEM elctrolyzer does not exceed the PEM capacity\n", + " @m.Constraint(set_time, set_days, set_years)\n", + " def pem_capacity_constraint(blk, t, d, y):\n", + " return blk.period[t, d, y].fs.pem.electricity[0] <= m.pem_capacity\n", + "\n", + " # Ensure that the final tank holdup does not exceed the tank capacity \n", + " @m.Constraint(set_time, set_days, set_years)\n", + " def tank_capacity_constraint(blk, t, d, y):\n", + " return blk.period[t, d, y].fs.h2_tank.tank_holdup[0] <= m.tank_capacity\n", + "\n", + " # Ensure that the power generated by the turbine does not exceed the turbine capacity\n", + " @m.Constraint(set_time, set_days, set_years)\n", + " def turbine_capacity_constraint(blk, t, d, y):\n", + " return (\n", + " - blk.period[t, d, y].fs.h2_turbine.turbine.work_mechanical[0]\n", + " - blk.period[t, d, y].fs.h2_turbine.compressor.work_mechanical[0] <=\n", + " m.h2_turbine_capacity\n", + " )\n", + "\n", + " # Connect the initial tank holdup at time t with the final tank holdup at time t - 1\n", + " @m.Constraint(set_time, set_days, set_years)\n", + " def tank_holdup_constraints(blk, t, d, y):\n", + " if t == 1:\n", + " # Each day begins with an empty tank\n", + " return (\n", + " blk.period[t, d, y].fs.h2_tank.tank_holdup_previous[0] == 0\n", + " )\n", + " else:\n", + " # Initial holdup at time t = final holdup at time t - 1\n", + " return (\n", + " blk.period[t, d, y].fs.h2_tank.tank_holdup_previous[0] ==\n", + " blk.period[t - 1, d, y].fs.h2_tank.tank_holdup[0]\n", + " )" + ] + }, + { + "cell_type": "markdown", + "id": "addressed-mount", + "metadata": {}, + "source": [ + "Next, we use the numbers in the table below for constructing the cash flow expressions.\n", + "\n", + "| Unit | CAPEX | Fixed O&M | Variable O&M |\n", + "| :- | :-: | :-: | :-: |\n", + "| PEM Electrolyzer | \\$1630 /kW | \\$47.9 /kW | \\$1.3 /MWh |\n", + "| Hydrogen tank | \\$29 /kWh | 0 | 0 |\n", + "| Hydrogen turbine | \\$947 /kW | \\$7 /kW | \\$4.25 /Mwh|\n", + "\n", + "We refer the reader to the Simulation of the Flowsheet section for the default units of the decision variables. We convert the cost numbers so that the units are consistent with that of the variable." + ] + }, + { + "cell_type": "markdown", + "id": "01055db2", + "metadata": {}, + "source": [ + "### TEAL: Defining component costs/revenues and corresponding IDAES variables \n", + "\n", + "We now add a template dictionary with all the Nuclear Case components. \n", + "Each plant component has nested dictionaries for each desired TEAL cash flow. \n", + "Note that all cash flows are defined as:\n", + " $$C_y = m \\alpha_y \\bigg(\\frac{D_y}{R}\\bigg)^X$$\n", + "The cash flow $C_y$ is indexed by year, but hourly indeces can also be created and summed per year. Other parameters include $\\alpha$, the reference price, $D_y$ the driver for the cash flow (e.g., number of units sold, hours of electricity produced, etc.), $R$ the reference driver corresponding to $\\alpha$ (optional), $X$ the scaling factor, and $m$ an extra multiplier.\n", + "\n", + "\n", + "The cash flow dictionaries below must have:\n", + "1. an **Expression**: a list of strings of the Pyomo variable name used as the cash flow driver ($D_y$)\n", + "2. a **Value**: the cost per unit ($\\alpha$)\n", + "3. a **Multiplier**: an extra multiplier to distinguish between +/- cash flows ($m$)\n", + "\n", + "Each component must also have a Lifetime but all currently set to be the same. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cbf4c9c2", + "metadata": {}, + "outputs": [], + "source": [ + "components={\n", + " # Electrolyzer: negative Cash flows\n", + " \"pem\":{ \n", + " \"Lifetime\": 20,\n", + " \"Capex\":{\n", + " \"Expressions\": ['pem_capacity'],\n", + " \"Value\": 1630, # $/kW\n", + " \"Multiplier\": [-1],\n", + " },\n", + " \"FixedOM\":{\n", + " \"Expressions\": ['pem_capacity'],\n", + " \"Value\": 47.9, # $/kW\n", + " \"Multiplier\": [-1],\n", + " },\n", + " \"Hourly\":{\n", + " \"Expressions\": ['fs.pem.electricity'],\n", + " \"Value\": 1.3e-3, # $/MWh -> $/kWh\n", + " \"Multiplier\": [-1],\n", + " },\n", + " },\n", + " # Hydrogen Tank: negative Cash flows\n", + " \"h2tank\":{\n", + " \"Lifetime\": 20,\n", + " \"Capex\":{\n", + " \"Expressions\": ['tank_capacity'],\n", + " \"Value\": 1.946851199, # $29/kWh * 33.3 kWh/kg * 2.016e-3 kg/mol\n", + " \"Multiplier\": [-1],\n", + " },\n", + " },\n", + " # Hydrogen Turbine: negative Cash flows\n", + " \"h2turbine\":{ \n", + " \"Lifetime\": 20,\n", + " \"Capex\":{\n", + " \"Expressions\": ['h2_turbine_capacity'],\n", + " \"Value\": 0.947, # $/kW -> $/W\n", + " \"Multiplier\": [-1],\n", + " },\n", + " \"FixedOM\":{\n", + " \"Expressions\": ['h2_turbine_capacity'],\n", + " \"Value\": 0.007, # $/kW -> $/W\n", + " \"Multiplier\": [-1],\n", + " },\n", + " \"Hourly\":{\n", + " \"Expressions\": ['fs.h2_turbine.turbine.work_mechanical',\n", + " 'fs.h2_turbine.compressor.work_mechanical'],\n", + " \"Value\": 4.25e-6, # $/MWh -> $/Wh\n", + " \"Multiplier\": [1, 1], # these values come out with correct sign in expression\n", + " },\n", + " },\n", + " # Electricity Market: positive Cash flows\n", + " \"electricity_market\":{\n", + " \"Lifetime\": 20,\n", + " \"Hourly\":{\n", + " \"Expressions\": ['fs.np_power_split.np_to_grid_port.electricity',\n", + " 'fs.h2_turbine.turbine.work_mechanical',\n", + " 'fs.h2_turbine.compressor.work_mechanical'],\n", + " \"Value\": [], # this is LMP in $/MWh, should be path str to ROM\n", + " \"Multiplier\": [1e-3, -1e-6, -1e-6], # converting to $/kWh and $/Wh\n", + " },\n", + " },\n", + " # Hydrogen Market: positive Cash flows\n", + " \"h2_market\":{\n", + " \"Lifetime\": 20,\n", + " \"Hourly\":{\n", + " \"Expressions\": ['fs.h2_tank.outlet_to_pipeline.flow_mol'], # this is in mol/s\n", + " \"Value\": 3.0, # this is $/kg\n", + " \"Multiplier\": [7.2576] # convert from $/kg -> $/mol and also converting mol/s to mol/hr\n", + " },\n", + " },\n", + "}" + ] + }, + { + "cell_type": "markdown", + "id": "499296f9", + "metadata": {}, + "source": [ + "TEAL: Next, we should initialize global Cash flow attributes within TEAL.\n", + "\n", + "This includes passing discount rates, plant life, etc. from the notebook to an object of TEAL \n", + "global parameters. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "418b46b4", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import operator\n", + "\n", + "# *** HELPER FUNCTIONS / repurposed from TEAL/tests/PyomoTest.py ***\n", + "def build_econ_settings(cfs, life=5, dr=0.1, tax=0.21, infl=0.02184):\n", + " \"\"\"\n", + " Constructs global settings for econ run\n", + " @ In, cfs, CashFlow, cash flow components\n", + " @ In, life, float, life time of the years to evaluate\n", + " @ In, dr, float, discount rate\n", + " @ In, tax, float, the amount of tax ratio to apply\n", + " @ In, infl, float, the amount of inflation ratio to apply\n", + " @ Out, settings, CashFlow.GlobalSettings, settings\n", + " \"\"\"\n", + " active = []\n", + " for comp_name, cf_list in cfs.items():\n", + " for cf in cf_list:\n", + " active.append(f'{comp_name}|{cf}')\n", + " print(active)\n", + " params = {'DiscountRate': dr,\n", + " 'tax': tax,\n", + " 'inflation': infl,\n", + " 'ProjectTime': life,\n", + " 'Indicator': {'name': ['NPV'], # TODO: check IRR, PI\n", + " 'active': active}\n", + " }\n", + " settings = CashFlows.GlobalSettings()\n", + " settings.setParams(params)\n", + " settings._verbosity = 0\n", + " return settings\n", + "\n", + "\n", + "# using full plant life = 20 yrs\n", + "# LMP signal only uses 2 years... need to resolve when creating recurring cash flows\n", + "tealSettings = build_econ_settings(components,\n", + " life=m.plant_life,\n", + " dr=m.discount_rate,\n", + " tax=m.tax_rate)" + ] + }, + { + "cell_type": "markdown", + "id": "f93fefce", + "metadata": {}, + "source": [ + "TEAL: More helper methods distinguish between creating Capex, and recurring (hourly vs yearly) TEAL cash flows." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0b30e827", + "metadata": {}, + "outputs": [], + "source": [ + "def createCapex(comp, alpha, driver, life):\n", + " \"\"\"\n", + " Constructs the parameters for capital expenditures\n", + " @ In, comp, TEAL.src.CashFlows.Component, main structure to add component cash flows\n", + " @ In, alpha, float, price\n", + " @ In, driver, pyomo.core.base.var.ScalarVar, quantity sold\n", + " @ Out, cf, TEAL.src.CashFlows.Component, cashflow sale for each capital expenditures\n", + " \"\"\"\n", + " # extract alpha, driver as just one value\n", + " cf = CashFlows.Capex()\n", + " cf.name = 'Cap'\n", + " # life = comp._lifetime\n", + " cf.initParams(life)\n", + " cfParams = {'name': 'Cap',\n", + " 'alpha': alpha,\n", + " 'driver': driver,\n", + " 'reference': 1.0,\n", + " 'X': 1.0,\n", + " 'depreciate': 1,\n", + " 'mult_target': None,\n", + " 'inflation': False,\n", + " }\n", + " cf.setParams(cfParams)\n", + " return cf\n", + "\n", + "\n", + "def createRecurringYearly(comp, alpha, driver, lifeVector):\n", + " \"\"\"\n", + " Constructs the parameters for capital expenditures\n", + " @ In, comp, TEAL.src.CashFlows.Component, main structure to add component cash flows\n", + " @ In, alpha, float, yearly price to populate\n", + " @ In, driver, pyomo.core.base.var.ScalarVar, quantity sold to populate\n", + " @ Out, cf, TEAL.src.CashFlows.Component, cashflow sale for the recurring yearly\n", + " \"\"\"\n", + " cf = CashFlows.Recurring()\n", + " cfParams = {'name': 'FixedOM',\n", + " 'X': 1,\n", + " 'mult_target': None,\n", + " 'inflation': False}\n", + " cf.setParams(cfParams)\n", + "\n", + " # convert to binary mask, includes a zero for year 0 (construction)\n", + " projYears = np.array([y>1 for y in lifeVector], dtype=int)\n", + " projYears = projYears.astype(object)\n", + "\n", + " # 0 for first year (build year) -> TODO couldn't this be automatic?\n", + " alphas = projYears * alpha\n", + " drivers = projYears * driver\n", + "\n", + " # construct annual summary cashflows\n", + " cf.computeYearlyCashflow(alphas, drivers)\n", + " return cf\n", + "\n", + "\n", + "def createRecurringHourly(comp, alpha, driver, projLife):\n", + " \"\"\"\n", + " Constructs recurring cashflow with one value per hour\n", + " @ In, dfSet, tuple, includes pandas.Dataframe, dict of inputs, and pyomo concrete model loaded\n", + " sto run\n", + " @ In, comp, CashFlow.Component, component this cf will belong to\n", + " @ In, driver, string, variable name in df to take driver from\n", + " @ In, alpha, string, variable name in df to take alpha from\n", + " @ Out, comps, dict, dict mapping names to CashFlow component objects\n", + " \"\"\"\n", + " projLife += 1\n", + " print('DEBUGG cRH life:', comp.name, projLife)\n", + " cf = CashFlows.Recurring()\n", + " cfParams = {'name': 'Hourly',\n", + " 'X': 1,\n", + " 'mult_target': None,\n", + " 'inflation': False}\n", + " cf.setParams(cfParams)\n", + " cf.initParams(projLife, pyomoVar=True)\n", + " for year in range(projLife):\n", + " if isinstance(alpha, float):\n", + " cf.computeIntrayearCashflow(year, alpha, driver[year, :])\n", + " else:\n", + " cf.computeIntrayearCashflow(year, alpha[year, :], driver[year, :])\n", + " return cf" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2df7b4f5", + "metadata": {}, + "outputs": [], + "source": [ + "def getCapexVarFromModel(comp, cfDict, mdl):\n", + " alpha = cfDict['Value']\n", + " mults = cfDict['Multiplier']\n", + " exprs = cfDict['Expressions']\n", + " assert( len(mults)==len(exprs) ) # NOTE: Multiplier same length as Driver\n", + "\n", + " pyomoExpr = [operator.attrgetter(exprs[i])(mdl) for i in range(len(exprs))]\n", + " driver = [m*pexp for m, pexp in zip(mults, pyomoExpr)]\n", + " driver = driver[0]\n", + " return alpha, driver\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "463cfe9b", + "metadata": {}, + "outputs": [], + "source": [ + "def getDispatchVarFromModel(comp, cfDict, mdl):\n", + " alpha = cfDict['Value']\n", + " mults = cfDict['Multiplier']\n", + " exprs = cfDict['Expressions']\n", + " assert( len(mults)==len(exprs) ) # NOTE: Multiplier same length as Driver\n", + "\n", + " # time indeces for HERON/TEAL\n", + " n_hours = len(mdl.set_time)\n", + " n_days = len(mdl.set_days)\n", + " n_years = len(mdl.set_years)\n", + " n_projLife = mdl.plant_life + 1\n", + "\n", + " yearsMaskArray = mdl.yearsFullVec # looks like [0, 2022, 2022, 2022, 2022, ... 2032, ... ]\n", + " \n", + " n_hours_per_year = n_hours * n_days # sometimes number of days refers to clusters < 365\n", + "\n", + " dispatch_array = np.zeros((n_projLife, n_hours_per_year), dtype=object)\n", + "\n", + " indeces = np.array([tuple(i) for i in mdl.period_index], dtype=\"i,i,i\")\n", + " time_shape = (n_years, n_hours_per_year) # reshaping the tuples array to match HERON dispatch\n", + " indeces = indeces.reshape(time_shape)\n", + "\n", + " # currently, taking this to mean that we are using the LMP signal... \n", + " # TODO: needs to be more general here\n", + " if alpha == []:\n", + " signal = mdl.LMP\n", + "\n", + " # # plus 1 to year term to allow for 0 recurring costs during build year\n", + " # alpha = np.zeros([n_projLife, n_hours_per_year])\n", + " # it necessary to have alpha be [year, clusterhour] instead of [year, cluster, hour]\n", + " # clusterhour loops through hours first, then cluster\n", + " alpha = [[signal[y][d][h] \\\n", + " for d in mdl.set_days\n", + " for h in mdl.set_time] # order here matches *indeces*\n", + " for y in mdl.LMP.keys()] #shape here is [year, hour]\n", + " # # first column of year axis is 0 for project year 0\n", + " alpha = np.array(alpha)\n", + " # alpha[1:,:] = realized_alpha\n", + "\n", + " # TODO: check that all periods and LMPs match up...\n", + " pcount = -1\n", + " for p, pyear in enumerate(yearsMaskArray):\n", + " if pyear == 0:\n", + " continue\n", + "\n", + " if pyear > yearsMaskArray[p-1]:\n", + " pcount +=1\n", + "\n", + " for time in range(n_hours_per_year):\n", + " ind = tuple(indeces[pcount,time])\n", + " # looping through all DISPATCHES variables pertaining to this specific dispatch\n", + " # e.g., turbine costs due to work done by turbine + compressor, separate variables\n", + " dispatch_driver = 0\n", + " for ds, dStr in enumerate(exprs):\n", + " dispatch_driver += operator.attrgetter(dStr)(mdl.period[ind])[0] * mults[ds]\n", + "\n", + " # getting weights for each day/cluster\n", + " dy, yr = ind[1:]\n", + " weight = mdl.weights_days[yr][dy] # extracting weight for year + day\n", + "\n", + " # storing individual Pyomo dispatch\n", + " dispatch_array[p, time] = dispatch_driver * weight\n", + "\n", + " return alpha, dispatch_array\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e9157024", + "metadata": {}, + "outputs": [], + "source": [ + "def buildTealComponent(name, comp, mdl):\n", + " life = comp['Lifetime']\n", + " projLife = len(mdl.set_years) + 1\n", + " tealComp = CashFlows.Component()\n", + " tealComp.setParams({'name': name, \n", + " 'Life_time': comp['Lifetime']})\n", + " cashFlows = []\n", + "\n", + " ## check years vs projLife\n", + "\n", + " for cfName, cfDict in comp.items():\n", + " if cfName == 'Capex':\n", + " alpha, driver = getCapexVarFromModel(comp, cfDict, mdl)\n", + " capex = createCapex(tealComp, alpha, driver, m.plant_life)\n", + " cashFlows.append(capex)\n", + "\n", + " capex.setAmortization('MACRS', 15)\n", + " amorts = tealComp._createDepreciation(capex)\n", + " cashFlows.extend(amorts)\n", + " \n", + " elif cfName == 'FixedOM':\n", + " alpha, driver = getCapexVarFromModel(comp, cfDict, mdl)\n", + " fixedOM = createRecurringYearly(tealComp, alpha, driver, mdl.yearsFullVec)\n", + " cashFlows.append(fixedOM)\n", + " \n", + " elif cfName == 'Hourly':\n", + " alpha, driver = getDispatchVarFromModel(comp, cfDict, mdl)\n", + " hourly = createRecurringHourly(tealComp, alpha, driver, m.plant_life)\n", + " cashFlows.append(hourly)\n", + " \n", + "\n", + " tealComp.addCashflows(cashFlows)\n", + " return tealComp\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "qualified-bargain", + "metadata": {}, + "outputs": [], + "source": [ + "def append_costs_and_revenue(m, ps, LMP):\n", + " \"\"\"\n", + " ps: Object containing information on sets and parameters\n", + " LMP: Dictionary containing the LMP data\n", + " \"\"\"\n", + "\n", + " set_time = ps.set_time # Set of hours\n", + " set_days = ps.set_days # Set of days/clusters\n", + " set_years = ps.set_years # Set of years\n", + " weights_days = ps.weights_days # Weights associated with each cluster\n", + "\n", + " h2_sp = ps.h2_price # Selling price of hydrogen\n", + " plant_life = ps.plant_life # Plant lifetime\n", + " tax_rate = ps.tax_rate # Corporate tax rate\n", + " discount_rate = ps.discount_rate # Discount rate\n", + " \n", + " years_vec = [y - set_years[0] + 1 for y in set_years]\n", + " years_vec.append(plant_life + 1)\n", + " weights_years = {y: sum(1 / (1 + discount_rate) ** i\n", + " for i in range(years_vec[j], years_vec[j + 1]))\n", + " for j, y in enumerate(set_years)}\n", + "\n", + " # PEM CAPEX: $1630/kWh and pem_capacity is in kW,\n", + " # Tank CAPEX: $29/kWh, the LHV of hydrogen is 33.3 kWh/kg,\n", + " # the molecular mass of hydrogen is 2.016e-3 kg/mol and\n", + " # tank_capacity is in moles \n", + " # Turbine CAPEX: $947/kWh and turbine_capacity is in W\n", + " m.capex = Expression(\n", + " expr=(1630 * m.pem_capacity +\n", + " (29 * 33.3 * 2.016e-3) * m.tank_capacity +\n", + " (947 / 1000) * m.h2_turbine_capacity),\n", + " doc=\"Total capital cost (in USD)\"\n", + " )\n", + "\n", + " # Fixed O&M of PEM: $47.9/kW\n", + " # Fixed O&M of turbine: $7/kW\n", + " @m.Expression(set_years,\n", + " doc=\"Fixed O&M cost per year (in USD)\")\n", + " def fixed_om_cost(blk, y):\n", + " return (\n", + " 47.9 * m.pem_capacity + 7e-3 * m.h2_turbine_capacity\n", + " )\n", + "\n", + " # Variable O&M: PEM: $1.3/MWh and turbine: $4.25/MWh\n", + " @m.Expression(set_years,\n", + " doc=\"Total variable O&M cost per year (in USD)\")\n", + " def variable_om_cost(blk, y):\n", + " return (\n", + " (1.3 * 1e-3) * sum(weights_days[y][d] * blk.period[t, d, y].fs.pem.electricity[0]\n", + " for t in set_time for d in set_days) +\n", + " (4.25 * 1e-6) * sum(weights_days[y][d] * (\n", + " - blk.period[t, d, y].fs.h2_turbine.turbine.work_mechanical[0]\n", + " - blk.period[t, d, y].fs.h2_turbine.compressor.work_mechanical[0])\n", + " for t in set_time for d in set_days)\n", + " )\n", + "\n", + " @m.Expression(set_years,\n", + " doc=\"Revenue generated by selling electricity per year (in USD)\")\n", + " def electricity_revenue(blk, y):\n", + " return (\n", + " sum(weights_days[y][d] * LMP[y][d][t] *\n", + " (blk.period[t, d, y].fs.np_power_split.np_to_grid_port.electricity[0] * 1e-3 -\n", + " blk.period[t, d, y].fs.h2_turbine.turbine.work_mechanical[0] * 1e-6 -\n", + " blk.period[t, d, y].fs.h2_turbine.compressor.work_mechanical[0] * 1e-6)\n", + " for t in set_time for d in set_days)\n", + " )\n", + "\n", + " @m.Expression(set_years,\n", + " doc=\"Revenue generated by selling hydrogen per year (in USD)\")\n", + " def h2_revenue(blk, y):\n", + " return (\n", + " h2_sp * 2.016e-3 * 3600 *\n", + " sum(weights_days[y][d] *\n", + " blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0]\n", + " for t in set_time for d in set_days)\n", + " )\n", + "\n", + " @m.Expression(set_years,\n", + " doc=\"Depreciation value per year (in USD)\")\n", + " def depreciation(blk, y):\n", + " return (\n", + " blk.capex / plant_life\n", + " )\n", + "\n", + " @m.Expression(set_years,\n", + " doc=\"Net profit per year (in USD)\")\n", + " def net_profit(blk, y):\n", + " return (\n", + " blk.depreciation[y] + (1 - tax_rate) * (+ blk.h2_revenue[y]\n", + " + blk.electricity_revenue[y]\n", + " - blk.fixed_om_cost[y]\n", + " - blk.variable_om_cost[y]\n", + " - blk.depreciation[y])\n", + " )\n", + "\n", + " m.npv = Expression(\n", + " expr=sum(weights_years[y] * m.net_profit[y] for y in set_years) - m.capex,\n", + " doc=\"Net present value (in USD)\"\n", + " )" + ] + }, + { + "cell_type": "markdown", + "id": "banner-native", + "metadata": {}, + "source": [ + "We now build the remaining constraints and the objective function by calling `build_connecting_constraints` and `append_cost_and_revenue` functions, and solve the optimization problem." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "republican-diagnosis", + "metadata": {}, + "outputs": [], + "source": [ + "# Build the connecting constraints\n", + "build_connecting_constraints(m, \n", + " set_time=m.set_time, \n", + " set_days=m.set_days,\n", + " set_years=m.set_years)\n", + "\n", + "# Hydrogen demand constraint. divide the RHS by the molecular mass to convert kg/s to mol/s\n", + "@m.Constraint(m.set_time, m.set_days, m.set_years)\n", + "def hydrogen_demand_constraint(blk, t, d, y):\n", + " return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / 2.016e-3\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c5844dcd", + "metadata": {}, + "outputs": [], + "source": [ + "# # Append cash flow expressions\n", + "# append_costs_and_revenue(m,\n", + "# ps=m,\n", + "# LMP=m.LMP)\n", + "#=================================================\n", + "tealComponentList = []\n", + "for name, comp in components.items():\n", + " tealComp = buildTealComponent(name, comp, m)\n", + " tealComponentList.append(tealComp)\n", + "\n", + "metrics = RunCashFlow.run(tealSettings, tealComponentList, {}, pyomoVar=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "71991e45", + "metadata": {}, + "outputs": [], + "source": [ + "# print(m.npv.expr)\n", + "with open(\"TEAL_output.txt\", \"w\") as text_file:\n", + " # text_file.write(str(m.npv.expr))\n", + " text_file.write(str(metrics['NPV']))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d7355a37", + "metadata": {}, + "outputs": [], + "source": [ + "# Append cash flow expressions\n", + "# append_costs_and_revenue(m,\n", + "# ps=m,\n", + "# LMP=m.LMP)\n", + "\n", + "#=================================================\n", + "# tealComponentList = []\n", + "# for name, comp in components.items():\n", + "# tealComp = buildTealComponent(name, comp, m)\n", + "# tealComponentList.append(tealComp)\n", + "\n", + "metrics = RunCashFlow.run(tealSettings, tealComponentList, {}, pyomoVar=True)\n", + "\n", + "# Define the objective function\n", + "m.obj = Objective(expr=metrics['NPV'], sense=maximize)\n", + "\n", + "#=================================================\n", + "# m.obj = Objective(expr=m.npv, sense=maximize)\n", + "# Define the solver object. Using IPOPT\n", + "solver = get_solver()\n", + "\n", + "# Solver the optimization problem\n", + "solver.solve(m, tee=True)" + ] + }, + { + "cell_type": "markdown", + "id": "confident-neutral", + "metadata": {}, + "source": [ + "Verify that the solver converges to the optimal solution. We now print the results and answer the questions posed at the beginning of this notebook. To recall, we are interested in determining whether the following options are attractive (i.e., maximize NPV):\n", + "\n", + "- Produce hydrogen using a portion of the electricity, especially during periods of low electricity demand, and sell it.\n", + "- Produce hydrogen, store it in a tank, and combust it to produce electrity during the periods of high electricity demand." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "scientific-nudist", + "metadata": {}, + "outputs": [], + "source": [ + "def generate_plots(m, d, y, set_time, lmp):\n", + " LMP = [lmp[y][d][t] for t in set_time]\n", + " \n", + " # Power from nuclear power plant to the grid (convert it to MW)\n", + " np_to_grid = [m.period[t, d, y].fs.np_power_split.split_fraction[\"np_to_grid\", 0].value \n", + " for t in set_time]\n", + " # Hydrogen production rate in the PEM electrolyzer (convert it to kg/hr)\n", + " h2_production = [m.period[t, d, y].fs.pem.outlet.flow_mol[0].value * 2.016e-3 * 3600\n", + " for t in set_time]\n", + " # Hydrogen flowrate to pipeline (convert it to kg/hr)\n", + " h2_to_pipeline = [m.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0].value * 2.016e-3 * 3600\n", + " for t in set_time]\n", + " # Hydrogen flowrate to turbine (convert it to kg/hr)\n", + " h2_to_turbine = [m.period[t, d, y].fs.h2_tank.outlet_to_turbine.flow_mol[0].value * 2.016e-3 * 3600\n", + " for t in set_time]\n", + " \n", + " # Plot the results\n", + " plot_lmp_and_schedule(lmp=LMP,\n", + " schedule={\"power_to_grid\": np_to_grid,\n", + " \"h2_production\": h2_production,\n", + " \"h2_to_pipeline\": h2_to_pipeline,\n", + " \"h2_to_turbine\": h2_to_turbine},\n", + " y_label={\"power_to_grid\": \"Split fraction to grid [-]\",\n", + " \"h2_production\": \"Hydrogen production (kg/hr)\",\n", + " \"h2_to_pipeline\": \"Hydrogen to pipeline (kg/hr)\",\n", + " \"h2_to_turbine\": \"Hydrogen to turbine (kg/hr)\"},\n", + " y_range={\"power_to_grid\": (0.5, 1.02),\n", + " \"h2_production\": (0, 4000),\n", + " \"h2_to_pipeline\": (0, 4000),\n", + " \"h2_to_turbine\": (-0.5, 10)})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "disabled-invitation", + "metadata": {}, + "outputs": [], + "source": [ + "import pyomo.environ as pyo\n", + "\n", + "# Print Results\n", + "print(\"Optimal PEM capacity : \", m.pem_capacity.value * 1e-3, \"MW\")\n", + "print(\"Optimal tank capacity : \", m.tank_capacity.value * 2.016e-3, \"kg\")\n", + "print(\"OPtimal turbine capacity: \", m.h2_turbine_capacity.value * 1e-6, \"MW\")\n", + "\n", + "print(\"NPV :\", pyo.value( m.obj ) * 1e-9, \"$B\")\n", + "\n", + "# Using `generate_plots` we plot optimal operating conditions for a specific day\n", + "generate_plots(m, d=1, y=2022, set_time=m.set_time, lmp=m.LMP)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "brutal-sigma", + "metadata": {}, + "outputs": [], + "source": [ + "# Using `generate_plots` we plot optimal operating conditions for a specific day\n", + "generate_plots(m, d=8, y=2022, set_time=m.set_time, lmp=m.LMP)\n" + ] + }, + { + "cell_type": "markdown", + "id": "empty-identity", + "metadata": {}, + "source": [ + "- Clearly, when the selling price of hydrogen is $3/kg, it is attractive (maximizes NPV) to produce hydrogen using a portion of electricity when its price is sufficiently low.\n", + "- However, storing hydrogen and combusting it later to produce electricity is not attractive. This is inferred from the optimal size of the hydrogen tank and the size of the turbine, respectively (both the values are zero. We see a small nonzero value because we imposed small nonzero lower bounds on flows to avoid convergence issues). \n", + "\n", + "The optimal size of the PEM electrolyzer for the production of hydrogen is 196.26 MW for a hydrogen demand of 1 kg/s. The hydrogen tank and the hydrogen turbine must not be built to maximize the NPV. The hydrogen produced by the PEM electrolyzer must be sold immediately to the hydrogen market via the pipeline." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "brilliant-prairie", + "metadata": {}, + "outputs": [], + "source": [ + "# These optimization problems tend to be very large, so we \n", + "# delete the model after analyzing the results to save memory.\n", + "del m" + ] + }, + { + "cell_type": "markdown", + "id": "civic-special", + "metadata": {}, + "source": [ + "## Multiperiod Optimization Model: Stochastic\n", + "\n", + "### LMP Signal\n", + "\n", + "As mentioned in the previous section, due to uncertainty in various factors such as weather, demand, etc., it is not possible to determine the future locational marginal price accurately. There are many approaches to take into account the uncertainty in the LMP signal during the decision making process. One such approach involves the generation of potential LMP scenarios along with their associated probabilities and use them to formulate a stochastic program.\n", + "\n", + "Here, for demonstration, we consider two different realizations of the LMP signal (i.e., two scenarios: scenario 0 and scenario 1). " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "previous-sending", + "metadata": {}, + "outputs": [], + "source": [ + "# Gather the LMP data needed for the stochastic case\n", + "# Notation: lmp_dataset[scenario][year][cluster/day][time/hour]\n", + "lmp_stochastic = {scenario: {year: {cluster: {hour: lmp_dataset[str(scenario)][str(year)][str(cluster)][str(hour)]\n", + " for hour in range(1, 25)} \n", + " for cluster in range(1, 21)}\n", + " for year in [2022]}\n", + " for scenario in [0, 1]}" + ] + }, + { + "cell_type": "markdown", + "id": "polar-bridge", + "metadata": {}, + "source": [ + "Next, we formulate an optimization problem of the form\n", + "$$ \\begin{aligned}\n", + "\\max_{D, D_s, u_{s, t, d}} \\quad & \\sum_s w_s \\text{NPV}_s(D_s, u_{s, t, d})\\\\\n", + "& g(u_{s, t, d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S} \\\\\n", + "& h(u_{s, t, d}) \\le 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S} \\\\\n", + "& f(u_{s, t-1, d}, u_{s, t, d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S} \\\\\n", + "& u_{s, t, d} \\le D_s, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S}\\\\\n", + "& D_s = D, & & \\forall\\; s \\in \\mathcal{S}\n", + "\\end{aligned}$$\n", + "\n", + "Here, the sets $\\mathcal{S} = \\{0, 1\\}$, $\\mathcal{T} = \\{1, \\dots, 24\\}$ and $\\mathcal{C} = \\{1, \\dots, 20\\}$ denote the the set of scenarios, the set of hours in a day and the set of clusters/days in a year, respectively. $D$ denotes the design decisions (or, first-stage variables) viz. size of the PEM electrolyzer (`pem_capacity`), tank (`tank_capacity`) and the turbine (`turbine_capacity`), and $D_s$ denotes the design decisions in scenario $s$. $u_{s, t, d}$ denotes the operating decisions (or, second-stage decisions) in scenario $s$, at time $t$ of day/cluster $d$. $g(u_{s, t, d}) = 0$ and $h(u_{s, t,d}) \\le 0$ denote the flowsheet model, $f(u_{s, t-1,d}, u_{s, t,d}) = 0$ connects the operating decisions at time $t-1$ and at time $t$ (e.g., tank holdup), and $u_{s, t, d} \\le D_s$ ensures that the operating decision values never exceed the design capacity values (e.g., tank holdup at any time instant must not exceed the tank capacity) in scenario $s$. Finally, $D_s = D$ ensures that the design decisions are maintained the same in all scenarios (non-anticipativity constraints).\n", + "\n", + "In the objective function, $w_s$ denotes the probability associated with scenario $s$, and $\\text{NPV}_s$ stands for the net present value calculated in scenario $s$." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "lightweight-prediction", + "metadata": {}, + "outputs": [], + "source": [ + "# Create concrete model object\n", + "m = ConcreteModel()\n", + "\n", + "# Define sets\n", + "m.set_time = RangeSet(24) # twenty fours in a day\n", + "m.set_days = RangeSet(20) # twenty clusters/days per year\n", + "m.set_years = [2022] # Set of years\n", + "m.set_scenarios = [0, 1] # Set of scenarios\n", + "\n", + "# Define parameters\n", + "m.plant_life = 20 # Plant lifetime: 20 years\n", + "m.tax_rate = 0.2 # Corporate tax rate: 20%\n", + "m.discount_rate = 0.08 # Discount rate: 8%\n", + "m.h2_price = 3 # Selling price of hydrogen: $3/kg\n", + "m.h2_demand = 1 # Maximum amount of hydrogen that can be sold: 1 kg/s\n", + "m.LMP = lmp_stochastic # LMP signal\n", + "m.weights_days = weights_days # number of days represented by each cluster\n", + "m.weights_scenarios = {0: 0.5, 1: 0.5} # Equal probability for both the scenarios" + ] + }, + { + "cell_type": "markdown", + "id": "talented-dietary", + "metadata": {}, + "source": [ + "Next, we call the `build_multiperiod_design` function to formulate the multi-period optimization problem. However, this time, we also set `stochastic=True`. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "returning-moderator", + "metadata": {}, + "outputs": [], + "source": [ + "# Build initialized multiperiod model: Constraints g(u(t,d)) = 0 and h(u(t,d)) <= 0\n", + "build_multiperiod_design(m,\n", + " flowsheet=build_ne_flowsheet,\n", + " initialization=fix_dof_and_initialize,\n", + " unfix_dof=unfix_dof,\n", + " multiple_days=True,\n", + " multiyear=True,\n", + " stochastic=True,\n", + " verbose=False)" + ] + }, + { + "cell_type": "markdown", + "id": "divine-zimbabwe", + "metadata": {}, + "source": [ + "Next, add the connecting constraints and hydrogen demand constraints for each of the scenarios." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "elder-victoria", + "metadata": {}, + "outputs": [], + "source": [ + "for s in m.set_scenarios:\n", + " # Build the connecting constraints\n", + " build_connecting_constraints(m.scenario[s], \n", + " set_time=m.set_time, \n", + " set_days=m.set_days,\n", + " set_years=m.set_years)\n", + "\n", + " # Append cash flow expressions\n", + " append_costs_and_revenue(m.scenario[s],\n", + " ps=m,\n", + " LMP=m.LMP[s])\n", + " \n", + " # Hydrogen demand constraint. \n", + " # Divide the RHS by the molecular mass to convert kg/s to mol/s\n", + " obj = m.scenario[s]\n", + " @obj.Constraint(m.set_time, m.set_days, m.set_years)\n", + " def hydrogen_demand_constraint(blk, t, d, y):\n", + " return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / 2.016e-3" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "suburban-radar", + "metadata": {}, + "outputs": [], + "source": [ + "# Add non-anticipativity constraints\n", + "m.pem_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Design PEM capacity (in kW)\")\n", + "m.tank_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Design tank capacity (in mol)\")\n", + "m.h2_turbine_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Design turbine capacity (in W)\")\n", + "\n", + "@m.Constraint(m.set_scenarios)\n", + "def non_anticipativity_pem(blk, s):\n", + " return blk.pem_capacity == blk.scenario[s].pem_capacity\n", + "\n", + "@m.Constraint(m.set_scenarios)\n", + "def non_anticipativity_tank(blk, s):\n", + " return blk.tank_capacity == blk.scenario[s].tank_capacity\n", + "\n", + "@m.Constraint(m.set_scenarios)\n", + "def non_anticipativity_turbine(blk, s):\n", + " return blk.h2_turbine_capacity == blk.scenario[s].h2_turbine_capacity" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "liberal-riverside", + "metadata": {}, + "outputs": [], + "source": [ + "# Define the objective function\n", + "m.obj = Objective(expr=sum(m.weights_scenarios[s] * m.scenario[s].npv\n", + " for s in m.set_scenarios), \n", + " sense=maximize)\n", + "\n", + "# Define the solver object. Using the default solver: IPOPT\n", + "solver = get_solver()\n", + "\n", + "# Solve the optimization problem\n", + "solver.solve(m, tee=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "civil-celebration", + "metadata": {}, + "outputs": [], + "source": [ + "# Print Results\n", + "print(\"Optimal PEM capacity : \", m.pem_capacity.value * 1e-3, \"MW\")\n", + "print(\"Optimal tank capacity : \", m.tank_capacity.value * 2.016e-3, \"kg\")\n", + "print(\"OPtimal turbine capacity: \", m.h2_turbine_capacity.value * 1e-6, \"MW\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "protecting-asthma", + "metadata": {}, + "outputs": [], + "source": [ + "generate_plots(m.scenario[0], d=8, y=2022, set_time=m.set_time, lmp=m.LMP[0])" + ] + }, + { + "cell_type": "markdown", + "id": "protecting-flexibility", + "metadata": {}, + "source": [ + "Even in the stochastic case, we observe the same result i.e., producing hydrogen and selling it during the periods of low electricity demand is profitable. Whereas, building a turbine to combust hydrogen and produce electricity is not attractive. " + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.7.12 ('raven_libraries')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.13" + }, + "vscode": { + "interpreter": { + "hash": "30a489d75dc74fdb25680615d228a0f0cfe67acdca53983943a779507522064f" + } + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 36a91f804fee142b21ab04500c51393f8bbc784c Mon Sep 17 00:00:00 2001 From: "Gabriel J. Soto" Date: Tue, 20 Sep 2022 10:32:48 -0600 Subject: [PATCH 10/29] cleanup --- .../multiperiod_design_pricetaker_wTEAL.ipynb | 2520 +---------------- 1 file changed, 94 insertions(+), 2426 deletions(-) diff --git a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb index c9444d365..179240c7f 100644 --- a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb +++ b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb @@ -151,58 +151,58 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-09-16 09:42:17 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-09-16 09:42:18 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:18 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:18 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-09-16 09:42:18 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:18 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-09-16 09:42:18 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:18 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:18 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-09-16 09:42:18 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:18 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:18 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:18 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-09-16 09:42:18 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:18 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-09-16 09:42:18 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:18 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:19 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:19 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-09-16 09:42:19 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:19 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-09-16 09:42:19 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:19 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-09-16 09:42:19 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:19 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:19 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-16 09:42:19 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-09-16 09:42:19 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-09-16 09:42:19 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:19 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-09-16 09:42:19 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:19 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:19 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-09-16 09:42:20 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:20 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:20 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-16 09:42:20 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-09-16 09:42:20 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:20 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-09-16 09:42:20 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:20 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-09-16 09:42:20 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-16 09:42:20 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-09-16 09:42:20 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:20 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-09-16 09:42:21 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:21 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:21 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-09-16 09:42:21 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:21 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:42:21 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-16 09:42:21 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "2022-09-20 08:51:47 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-09-20 08:51:47 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:47 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:47 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-09-20 08:51:47 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:47 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-09-20 08:51:47 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:47 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:47 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-09-20 08:51:48 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:48 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:48 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:48 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-09-20 08:51:48 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:48 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-09-20 08:51:48 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:48 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:48 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:48 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-09-20 08:51:48 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:48 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-09-20 08:51:49 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:49 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-09-20 08:51:49 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:49 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:49 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-20 08:51:49 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-09-20 08:51:49 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-09-20 08:51:49 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:49 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-09-20 08:51:49 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:49 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:49 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-09-20 08:51:49 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:49 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:50 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-20 08:51:50 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-09-20 08:51:50 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:50 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-09-20 08:51:50 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:50 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-09-20 08:51:50 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-20 08:51:50 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-09-20 08:51:50 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:50 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-09-20 08:51:51 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:51 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:51 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-09-20 08:51:51 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:51 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-20 08:51:51 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-20 08:51:51 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", "Degrees of freedom: 0\n", "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", "tol=1e-06\n", @@ -252,7 +252,7 @@ "Number of equality constraint Jacobian evaluations = 2\n", "Number of inequality constraint Jacobian evaluations = 0\n", "Number of Lagrangian Hessian evaluations = 1\n", - "Total seconds in IPOPT = 0.006\n", + "Total seconds in IPOPT = 0.009\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -260,7 +260,7 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.09804749488830566}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.145463228225708}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, "execution_count": 2, @@ -671,64 +671,7 @@ "output_type": "stream", "text": [ "[ 0.00] Processing input information.\n", - "[+ 0.00] Beginning the formulation of the multiperiod problem.\n", - "[+ 198.92] Completed the formulation of the multiperiod problem\n", - "2022-09-16 09:45:41 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-09-16 09:45:41 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:41 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:41 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-09-16 09:45:41 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:41 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-09-16 09:45:41 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:41 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:41 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-09-16 09:45:41 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:41 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:41 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:41 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-09-16 09:45:42 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:42 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-09-16 09:45:42 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:42 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:42 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:42 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-09-16 09:45:42 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:42 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-09-16 09:45:42 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:42 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-09-16 09:45:42 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:42 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:42 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-16 09:45:42 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-09-16 09:45:42 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-09-16 09:45:43 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:43 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-09-16 09:45:43 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:43 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:43 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-09-16 09:45:43 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:43 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:43 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-16 09:45:43 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-09-16 09:45:43 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:43 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-16 09:45:44 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", - "[+ 4.18] Created an instance of the flowsheet and initialized it.\n", - "[+ 17.69] Initialized the entire multiperiod optimization model.\n", - "[+ 0.42] Unfixed the degrees of freedom from each period model.\n", - "LMP Data less than project life\n" + "[+ 0.00] Beginning the formulation of the multiperiod problem.\n" ] } ], @@ -761,7 +704,15 @@ "execution_count": null, "id": "98ffc68c", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requested LMP Data less than project life\n" + ] + } + ], "source": [ "restructure_LMP(m)" ] @@ -783,7 +734,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "id": "optimum-closing", "metadata": {}, "outputs": [], @@ -854,7 +805,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "id": "republican-diagnosis", "metadata": {}, "outputs": [ @@ -897,7 +848,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "id": "c5844dcd", "metadata": {}, "outputs": [ @@ -911,7 +862,6 @@ " 0. ]\n", "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", " 0. 0. 0.]\n", - "DEBUGG cRH life: pem 21\n", "DEBUGG amortizing cf: Cap\n", "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", @@ -924,9 +874,6 @@ " 0. ]\n", "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", " 0. 0. 0.]\n", - "DEBUGG cRH life: h2turbine 21\n", - "DEBUGG cRH life: electricity_market 21\n", - "DEBUGG cRH life: h2_market 21\n", "CashFlow INFO (run): Starting CashFlow Run ...\n", "CashFlow INFO (run): ... Checking if all drivers present ...\n", "CashFlow INFO (checkDrivers): ... creating evaluation sequence ...\n", @@ -935,7 +882,6 @@ "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", "CashFlow INFO (run): ==========================================================================================\n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -964,7 +910,6 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -993,7 +938,6 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1022,7 +966,6 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -1048,7 +991,6 @@ "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -1075,7 +1017,6 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1104,7 +1045,6 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1133,7 +1073,6 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1162,7 +1101,6 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1191,7 +1129,6 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1220,7 +1157,6 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", @@ -1249,7 +1185,6 @@ "CashFlow INFO (compLife): 19 , , , \n", "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -1275,7 +1210,6 @@ "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -1302,7 +1236,6 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: electricity_market \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -1329,7 +1262,6 @@ "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2_market \n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", @@ -1497,7 +1429,7 @@ "CashFlow INFO (proj comp): 17: \n", "CashFlow INFO (proj comp): 18: \n", "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2tank\" ...\n", "CashFlow INFO (proj comp): ... component start: 0\n", @@ -1721,7 +1653,7 @@ "CashFlow INFO (proj comp): 17: \n", "CashFlow INFO (proj comp): 18: \n", "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"electricity_market\" ...\n", "CashFlow INFO (proj comp): ... component start: 0\n", @@ -1752,7 +1684,7 @@ "CashFlow INFO (proj comp): 17: \n", "CashFlow INFO (proj comp): 18: \n", "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2_market\" ...\n", "CashFlow INFO (proj comp): ... component start: 0\n", @@ -1783,7 +1715,7 @@ "CashFlow INFO (proj comp): 17: \n", "CashFlow INFO (proj comp): 18: \n", "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (run): ==========================================================================================\n", "CashFlow INFO (run): Economic Indicator Calculations\n", "CashFlow INFO (run): ==========================================================================================\n", @@ -1812,191 +1744,25 @@ "CashFlow INFO (FCFF): 20: \n", "CashFlow INFO (NPV): ... NPV: \n" ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\Users\\sotogj\\projects\\TEAL\\src\\main.py:418: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " projCf[nonBuildMask] += lifeCf[relativeOperation[relativeOperation!=0]] * taxMult * np.power(inflRate, -1*years[nonBuildMask])\n" - ] } ], "source": [ - "# # Append cash flow expressions\n", - "# append_costs_and_revenue(m,\n", - "# ps=m,\n", - "# LMP=m.LMP)\n", "#=================================================\n", "tealComponentList = []\n", "for name, comp in components.items():\n", " tealComp = build_TEAL_Component(name, comp, m)\n", " tealComponentList.append(tealComp)\n", "\n", - "metrics = calculate_TEAL_metrics(tealSettings, tealComponentList)\n" + "metrics = calculate_TEAL_metrics(tealSettings, tealComponentList)\n", + "\n" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "id": "d7355a37", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", - "tol=1e-06\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.14.7, running with linear solver MUMPS 5.5.0.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 580760\n", - "Number of nonzeros in inequality constraint Jacobian.: 7680\n", - "Number of nonzeros in Lagrangian Hessian.............: 195840\n", - "\n", - "Total number of variables............................: 211203\n", - " variables with only lower bounds: 20163\n", - " variables with lower and upper bounds: 176640\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 208320\n", - "Total number of inequality constraints...............: 3840\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 3840\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -1.1949854e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -1.4615999e+09 1.91e+05 2.08e+04 -1.0 2.80e+06 - 8.11e-04 8.91e-01f 1\n", - " 2 -1.4971840e+09 7.77e+03 1.27e+04 -1.0 5.00e+05 - 1.82e-03 9.90e-01f 1\n", - " 3 -1.4976246e+09 2.28e+02 6.53e+03 -1.0 9.98e+03 - 2.59e-01 9.71e-01h 1\n", - " 4 -1.4976368e+09 3.55e+01 2.38e+05 -1.0 7.90e+01 -4.0 4.37e-02 8.22e-01h 1\n", - " 5 -1.4976366e+09 4.60e+01 3.57e+05 -1.0 3.46e+03 - 2.43e-03 9.75e-02f 1\n", - " 6 -1.4976412e+09 5.18e+01 9.16e+05 -1.0 1.89e+03 - 4.39e-01 1.00e+00f 1\n", - " 7 -1.4976420e+09 4.52e+01 6.58e+06 -1.0 3.71e+02 -4.5 9.22e-01 1.25e-01f 4\n", - " 8 -1.4976553e+09 1.67e+01 3.59e+06 -1.0 1.42e+03 -5.0 4.40e-01 4.53e-01f 2\n", - " 9 -1.4977569e+09 2.01e+00 3.87e+05 -1.0 8.25e+02 -5.4 4.00e-02 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -1.4979926e+09 1.22e+01 3.49e+05 -1.0 2.36e+03 -5.9 1.00e-01 1.00e+00f 1\n", - " 11 -1.4987457e+09 3.13e+02 3.17e+05 -1.0 7.13e+03 - 9.13e-02 1.00e+00f 1\n", - " 12 -1.4993552e+09 7.13e+00 2.47e+05 -1.0 4.50e+03 -6.4 2.19e-01 1.00e+00f 1\n", - " 13 -1.5014293e+09 3.18e+00 2.21e+05 -1.0 1.41e+04 - 1.09e-01 1.00e+00f 1\n", - " 14 -1.5034098e+09 8.92e-02 1.72e+05 -1.0 1.02e+04 -6.9 2.22e-01 1.00e+00f 1\n", - " 15 -1.5114236e+09 2.36e-01 1.55e+05 -1.0 3.84e+04 - 9.59e-02 1.00e+00f 1\n", - " 16 -1.5312970e+09 2.62e-01 1.36e+05 -1.0 8.03e+04 - 1.21e-01 1.00e+00f 1\n", - " 17 -1.5541824e+09 1.38e-01 1.22e+05 -1.0 2.04e+05 - 1.04e-01 4.21e-01f 1\n", - " 18 -1.5544114e+09 1.37e-01 1.02e+05 -1.0 1.78e+05 - 1.63e-01 4.96e-03f 1\n", - " 19 -1.5544217e+09 1.28e-01 2.27e+04 -1.0 2.81e+04 - 7.78e-01 6.77e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20 -1.5545105e+09 3.93e-02 1.79e+04 -1.0 7.49e+04 - 2.10e-01 4.91e-01f 1\n", - " 21 -1.5545340e+09 4.09e-01 1.61e+04 -1.0 6.34e+04 - 1.03e-01 1.88e-01f 1\n", - " 22 -1.5545517e+09 4.25e-01 1.39e+04 -1.0 6.01e+04 - 1.38e-01 1.62e-01f 1\n", - " 23 -1.5545792e+09 4.51e-01 1.16e+04 -1.0 5.87e+04 - 1.67e-01 2.76e-01f 1\n", - " 24 -1.5545853e+09 3.85e-03 2.13e+03 -1.0 5.75e+02 -6.1 8.16e-01 1.00e+00f 1\n", - " 25 -1.5546662e+09 1.18e-01 1.70e+03 -1.0 2.67e+05 - 1.99e-01 2.46e-01f 1\n", - " 26 -1.5546749e+09 4.85e-01 1.38e+03 -1.0 1.19e+05 - 1.89e-01 3.91e-01f 1\n", - " 27 -1.5546741e+09 4.26e-01 1.03e+03 -1.0 7.38e+04 - 2.56e-01 4.91e-01f 1\n", - " 28 -1.5546738e+09 4.11e-01 7.07e+02 -1.0 5.17e+04 - 3.12e-01 6.62e-01f 1\n", - " 29 -1.5546622e+09 4.05e-01 4.30e+02 -1.0 2.89e+04 - 3.92e-01 9.28e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30 -1.5546621e+09 2.03e-01 2.87e+02 -1.0 2.26e+01 -3.9 3.33e-01 5.00e-01f 2\n", - " 31 -1.5546620e+09 2.76e-06 2.84e+00 -1.0 1.04e+01 -4.4 9.90e-01 1.00e+00h 1\n", - " 32 -1.5546440e+09 1.75e-01 1.45e+02 -1.0 3.37e+04 - 4.34e-01 1.00e+00f 1\n", - " 33 -1.5546332e+09 3.03e-01 8.32e+01 -1.0 2.67e+04 - 6.71e-01 1.00e+00f 1\n", - " 34 -1.5546332e+09 5.61e-06 5.99e-04 -1.0 5.77e+00 -4.9 1.00e+00 1.00e+00h 1\n", - " 35 -1.5546366e+09 2.41e-06 4.26e+06 -3.8 4.47e+01 -4.5 9.98e-01 5.71e-01f 1\n", - " 36 -1.5546379e+09 1.13e-06 2.00e+06 -3.8 2.63e+01 -4.1 7.17e-01 5.31e-01f 1\n", - " 37 -1.5546386e+09 3.47e-07 6.16e+05 -3.8 1.23e+01 -3.7 7.36e-01 6.92e-01f 1\n", - " 38 -1.5546417e+09 1.63e-04 6.15e+05 -3.8 7.90e+07 - 2.54e-03 3.06e-05f 1\n", - " 39 -1.5546424e+09 1.11e-04 4.16e+05 -3.8 8.03e+01 -4.6 8.88e-03 3.22e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40 -1.5546435e+09 1.30e-04 4.15e+05 -3.8 3.22e+07 - 1.90e-03 2.78e-05f 1\n", - " 41 -1.5546436e+09 1.24e-04 3.97e+05 -3.8 3.45e+02 -4.7 1.19e-01 4.40e-02f 1\n", - " 42 -1.5546437e+09 1.08e-04 3.49e+05 -3.8 3.36e+01 -4.2 9.58e-01 1.28e-01f 1\n", - " 43 -1.5546440e+09 9.33e-05 3.01e+05 -3.8 8.48e+01 -4.7 8.68e-01 1.40e-01f 1\n", - " 44 -1.5546442e+09 5.98e-05 1.92e+05 -3.8 3.21e+01 -4.3 1.00e+00 3.60e-01f 1\n", - " 45 -1.5546445e+09 4.64e-05 1.49e+05 -3.8 9.40e+01 -4.8 1.00e+00 2.23e-01f 1\n", - " 46 -1.5547218e+09 1.03e-01 1.48e+05 -3.8 8.27e+07 - 9.63e-03 7.13e-04f 1\n", - " 47 -1.5548137e+09 2.19e-01 9.16e+04 -3.8 7.40e+06 - 3.82e-01 1.04e-02f 1\n", - " 48 -1.5548165e+09 1.89e-01 9.82e+02 -3.8 1.96e+04 - 1.00e+00 1.36e-01f 1\n", - " 49 -1.5548186e+09 1.07e-01 5.16e+02 -3.8 4.95e+03 - 1.00e+00 4.28e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50 -1.5548186e+09 6.65e-02 2.78e+04 -3.8 1.32e+01 -4.9 4.53e-01 3.76e-01f 1\n", - " 51 -1.5548187e+09 3.40e-02 2.09e+03 -3.8 2.82e+00 -3.5 1.00e+00 4.88e-01f 1\n", - " 52 -1.5548187e+09 1.63e-02 6.14e+03 -3.8 5.74e+00 -4.0 1.00e+00 5.21e-01f 1\n", - " 53 -1.5548187e+09 7.73e-03 1.86e+03 -3.8 1.92e+00 -3.6 1.00e+00 5.26e-01f 1\n", - " 54 -1.5548201e+09 8.03e-03 1.18e+03 -3.8 3.42e+04 - 3.67e-01 5.38e-02f 1\n", - " 55 -1.5548206e+09 8.82e-03 3.37e+02 -3.8 2.34e+03 - 7.15e-01 2.76e-01f 1\n", - " 56 -1.5548208e+09 6.49e-03 8.45e+01 -3.8 3.72e+02 - 1.00e+00 5.76e-01f 1\n", - " 57 -1.5548208e+09 5.56e-05 1.05e-02 -3.8 2.87e+00 -4.1 1.00e+00 1.00e+00f 1\n", - " 58 -1.5548208e+09 8.55e-04 3.86e-02 -3.8 7.59e+01 - 1.00e+00 1.00e+00f 1\n", - " 59 -1.5548208e+09 1.99e-03 3.47e-03 -3.8 2.35e+01 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60 -1.5548208e+09 4.94e-06 1.06e-05 -3.8 8.19e-01 - 1.00e+00 1.00e+00h 1\n", - " 61 -1.5548209e+09 5.06e-04 1.36e+02 -5.7 1.57e+02 - 8.50e-01 3.91e-01f 1\n", - " 62 -1.5548209e+09 1.93e-04 3.31e+02 -5.7 1.76e-01 -2.9 6.31e-01 6.17e-01f 1\n", - " 63 -1.5548209e+09 1.02e-04 1.09e+02 -5.7 3.95e-01 -3.4 7.81e-01 4.70e-01f 1\n", - " 64 -1.5548209e+09 9.86e-05 1.06e+02 -5.7 5.68e+02 - 1.84e-02 3.26e-02f 1\n", - " 65 -1.5548209e+09 9.57e-05 1.01e+02 -5.7 2.34e+02 - 5.27e-02 3.65e-02f 1\n", - " 66 -1.5548209e+09 9.41e-05 8.51e+01 -5.7 1.07e+02 - 1.74e-01 2.54e-02f 1\n", - " 67 -1.5548209e+09 9.21e-05 7.84e+01 -5.7 5.69e+01 - 8.52e-02 3.22e-02f 1\n", - " 68 -1.5548209e+09 8.71e-05 7.19e+01 -5.7 4.02e+01 - 8.41e-02 8.12e-02f 1\n", - " 69 -1.5548209e+09 2.41e-05 1.48e+01 -5.7 7.32e-02 -2.6 4.83e-01 7.23e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70 -1.5548209e+09 1.14e-05 8.93e+00 -5.7 1.65e-01 -3.1 7.54e-01 5.25e-01f 1\n", - " 71 -1.5548209e+09 1.93e-05 8.77e+00 -5.7 6.95e+01 - 1.38e-02 4.46e-02f 1\n", - " 72 -1.5548209e+09 1.54e-05 7.72e+00 -5.7 7.65e-01 -4.1 5.75e-01 2.00e-01f 1\n", - " 73 -1.5548209e+09 2.89e-05 7.50e+00 -5.7 3.88e+01 - 2.49e-02 5.32e-02f 1\n", - " 74 -1.5548209e+09 4.62e-05 6.66e+00 -5.7 1.86e+01 - 1.17e-01 7.67e-02f 1\n", - " 75 -1.5548209e+09 7.72e-05 1.30e+01 -5.7 5.24e+00 - 9.58e-01 1.64e-01f 1\n", - " 76 -1.5548209e+09 1.97e-04 5.82e-05 -5.7 4.36e-01 - 1.00e+00 1.00e+00f 1\n", - " 77 -1.5548209e+09 1.66e-07 3.67e-07 -5.7 5.76e-02 -5.5 1.00e+00 1.00e+00h 1\n", - " 78 -1.5548209e+09 2.59e-07 1.76e+01 -7.0 5.80e-01 - 9.95e-01 5.73e-01f 1\n", - " 79 -1.5548209e+09 4.80e-08 8.56e+01 -7.0 2.46e-01 - 6.25e-01 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80 -1.5548209e+09 5.66e-10 1.16e-09 -7.0 1.04e-03 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 80\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: -2.6084237389827598e+07 -1.5548209326425235e+09\n", - "Dual infeasibility......: 1.1645811194840818e-09 6.9417981260984143e-08\n", - "Constraint violation....: 1.1641532182693481e-10 5.6555737870667144e-10\n", - "Variable bound violation: 6.2716869560133087e-09 6.2716869560133087e-09\n", - "Complementarity.........: 9.1552855412841452e-08 5.4572535095311482e-06\n", - "Overall NLP error.......: 9.1552855412841452e-08 5.4572535095311482e-06\n", - "\n", - "\n", - "Number of objective function evaluations = 86\n", - "Number of objective gradient evaluations = 81\n", - "Number of equality constraint evaluations = 86\n", - "Number of inequality constraint evaluations = 86\n", - "Number of equality constraint Jacobian evaluations = 81\n", - "Number of inequality constraint Jacobian evaluations = 81\n", - "Number of Lagrangian Hessian evaluations = 80\n", - "Total seconds in IPOPT = 253.664\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "data": { - "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212160, 'Number of variables': 211203, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 256.0294110774994}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Define the objective function\n", "m.obj = Objective(expr=metrics['NPV'], sense=maximize)\n", @@ -2022,7 +1788,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "id": "scientific-nudist", "metadata": {}, "outputs": [], @@ -2061,31 +1827,10 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "id": "disabled-invitation", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Optimal PEM capacity : 196.2616021878854 MW\n", - "Optimal tank capacity : 2.066591758867942e-05 kg\n", - "OPtimal turbine capacity: 9.076707516973046e-05 MW\n", - "NPV : 1.5548209326425222 $B\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "import pyomo.environ as pyo\n", "\n", @@ -2102,21 +1847,10 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "id": "brutal-sigma", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Using `generate_plots` we plot optimal operating conditions for a specific day\n", "generate_plots(m, d=8, y=2022, set_time=m.set_time, lmp=m.LMP)\n" @@ -2135,7 +1869,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "id": "brilliant-prairie", "metadata": {}, "outputs": [], @@ -2161,7 +1895,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "id": "previous-sending", "metadata": {}, "outputs": [], @@ -2197,7 +1931,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "id": "lightweight-prediction", "metadata": {}, "outputs": [], @@ -2233,75 +1967,10 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": null, "id": "returning-moderator", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[ 0.00] Processing input information.\n", - "[+ 0.00] Beginning the formulation of the multiperiod problem.\n", - "[+ 164.87] Completed the formulation of the multiperiod problem\n", - "2022-09-16 09:54:03 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-09-16 09:54:03 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:03 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:03 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-09-16 09:54:03 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:03 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-09-16 09:54:03 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:03 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:03 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-09-16 09:54:03 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:03 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:03 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:03 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-09-16 09:54:03 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:03 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-09-16 09:54:04 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:04 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:04 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:04 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-09-16 09:54:04 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:04 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-09-16 09:54:04 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:04 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-09-16 09:54:04 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:04 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:04 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-16 09:54:04 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-09-16 09:54:04 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:05 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-09-16 09:54:06 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-16 09:54:06 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-09-16 09:54:06 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:06 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-09-16 09:54:06 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:06 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:06 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-09-16 09:54:06 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:06 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-16 09:54:06 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-16 09:54:06 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", - "[+ 4.27] Created an instance of the flowsheet and initialized it.\n", - "[+ 17.39] Initialized the entire multiperiod optimization model.\n", - "[+ 0.36] Unfixed the degrees of freedom from each period model.\n" - ] - } - ], + "outputs": [], "source": [ "# Build initialized multiperiod model: Constraints g(u(t,d)) = 0 and h(u(t,d)) <= 0\n", "build_multiperiod_design(m,\n", @@ -2324,1831 +1993,10 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "id": "elder-victoria", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "['pem|Lifetime', 'pem|Capex', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Lifetime', 'h2tank|Capex', 'h2turbine|Lifetime', 'h2turbine|Capex', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Lifetime', 'electricity_market|Hourly', 'h2_market|Lifetime', 'h2_market|Hourly']\n", - "LMP Data less than project life\n", - "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", - " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", - " 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", - " 0. 0. 0.]\n", - "DEBUGG cRH life: pem 21\n", - "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", - " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", - " 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", - " 0. 0. 0.]\n", - "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", - " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", - " 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", - " 0. 0. 0.]\n", - "DEBUGG cRH life: h2turbine 21\n", - "DEBUGG cRH life: electricity_market 21\n", - "DEBUGG cRH life: h2_market 21\n", - "CashFlow INFO (run): Starting CashFlow Run ...\n", - "CashFlow INFO (run): ... Checking if all drivers present ...\n", - "CashFlow INFO (checkDrivers): ... creating evaluation sequence ...\n", - "CashFlow INFO (checkDrivers): ... evaluation sequence: ['pem|Cap', 'pem|pem_amortize_Cap', 'pem|pem_depreciate_Cap', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Cap', 'h2tank|h2tank_amortize_Cap', 'h2tank|h2tank_depreciate_Cap', 'h2turbine|Cap', 'h2turbine|h2turbine_amortize_Cap', 'h2turbine|h2turbine_depreciate_Cap', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Hourly', 'h2_market|Hourly']\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: electricity_market \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2_market \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): Project Lifetime Cashflow Calculations\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): ... project length: 21 years\n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"pem\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 21\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_amortize_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_amortize_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_depreciate_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_depreciate_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"FixedOM\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Hourly\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2tank\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 21\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_amortize_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_depreciate_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2turbine\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 21\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2turbine_amortize_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2turbine_depreciate_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"FixedOM\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Hourly\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"electricity_market\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 21\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"electricity_market\" CashFlow \"Hourly\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2_market\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 21\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2_market\" CashFlow \"Hourly\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): Economic Indicator Calculations\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (FCFF): FCFF yearly (not discounted):\n", - "CashFlow INFO (FCFF): year, FCFF\n", - "CashFlow INFO (FCFF): 0: \n", - "CashFlow INFO (FCFF): 1: \n", - "CashFlow INFO (FCFF): 2: \n", - "CashFlow INFO (FCFF): 3: \n", - "CashFlow INFO (FCFF): 4: \n", - "CashFlow INFO (FCFF): 5: \n", - "CashFlow INFO (FCFF): 6: \n", - "CashFlow INFO (FCFF): 7: \n", - "CashFlow INFO (FCFF): 8: \n", - "CashFlow INFO (FCFF): 9: \n", - "CashFlow INFO (FCFF): 10: \n", - "CashFlow INFO (FCFF): 11: \n", - "CashFlow INFO (FCFF): 12: \n", - "CashFlow INFO (FCFF): 13: \n", - "CashFlow INFO (FCFF): 14: \n", - "CashFlow INFO (FCFF): 15: \n", - "CashFlow INFO (FCFF): 16: \n", - "CashFlow INFO (FCFF): 17: \n", - "CashFlow INFO (FCFF): 18: \n", - "CashFlow INFO (FCFF): 19: \n", - "CashFlow INFO (FCFF): 20: \n", - "CashFlow INFO (NPV): ... NPV: \n", - "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", - " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", - " 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", - " 0. 0. 0.]\n", - "DEBUGG cRH life: pem 21\n", - "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", - " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", - " 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", - " 0. 0. 0.]\n", - "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", - " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", - " 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", - " 0. 0. 0.]\n", - "DEBUGG cRH life: h2turbine 21\n", - "DEBUGG cRH life: electricity_market 21\n", - "DEBUGG cRH life: h2_market 21\n", - "CashFlow INFO (run): Starting CashFlow Run ...\n", - "CashFlow INFO (run): ... Checking if all drivers present ...\n", - "CashFlow INFO (checkDrivers): ... creating evaluation sequence ...\n", - "CashFlow INFO (checkDrivers): ... evaluation sequence: ['pem|Cap', 'pem|pem_amortize_Cap', 'pem|pem_depreciate_Cap', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Cap', 'h2tank|h2tank_amortize_Cap', 'h2tank|h2tank_depreciate_Cap', 'h2turbine|Cap', 'h2turbine|h2turbine_amortize_Cap', 'h2turbine|h2turbine_depreciate_Cap', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Hourly', 'h2_market|Hourly']\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: electricity_market \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2_market \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): Project Lifetime Cashflow Calculations\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): ... project length: 21 years\n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"pem\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 21\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_amortize_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_amortize_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_depreciate_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_depreciate_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - 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"CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - 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"CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - 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"CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"FixedOM\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Hourly\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - 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"CashFlow INFO (proj comp): ... component end: 21\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2_market\" CashFlow \"Hourly\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): Economic Indicator Calculations\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (FCFF): FCFF yearly (not discounted):\n", - "CashFlow INFO (FCFF): year, FCFF\n", - "CashFlow INFO (FCFF): 0: \n", - "CashFlow INFO (FCFF): 1: \n", - "CashFlow INFO (FCFF): 2: \n", - "CashFlow INFO (FCFF): 3: \n", - "CashFlow INFO (FCFF): 4: \n", - "CashFlow INFO (FCFF): 5: \n", - "CashFlow INFO (FCFF): 6: \n", - "CashFlow INFO (FCFF): 7: \n", - "CashFlow INFO (FCFF): 8: \n", - "CashFlow INFO (FCFF): 9: \n", - "CashFlow INFO (FCFF): 10: \n", - "CashFlow INFO (FCFF): 11: \n", - "CashFlow INFO (FCFF): 12: \n", - "CashFlow INFO (FCFF): 13: \n", - "CashFlow INFO (FCFF): 14: \n", - "CashFlow INFO (FCFF): 15: \n", - "CashFlow INFO (FCFF): 16: \n", - "CashFlow INFO (FCFF): 17: \n", - "CashFlow INFO (FCFF): 18: \n", - "CashFlow INFO (FCFF): 19: \n", - "CashFlow INFO (FCFF): 20: \n", - "CashFlow INFO (NPV): ... NPV: \n" - ] - } - ], + "outputs": [], "source": [ "tealSettings = build_econ_settings(components,\n", " life=m.plant_life,\n", @@ -4182,7 +2030,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": null, "id": "suburban-radar", "metadata": {}, "outputs": [], @@ -4210,169 +2058,10 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": null, "id": "liberal-riverside", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", - "tol=1e-06\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.14.7, running with linear solver MUMPS 5.5.0.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 580772\n", - "Number of nonzeros in inequality constraint Jacobian.: 7680\n", - "Number of nonzeros in Lagrangian Hessian.............: 195840\n", - "\n", - "Total number of variables............................: 211209\n", - " variables with only lower bounds: 20169\n", - " variables with lower and upper bounds: 176640\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 208326\n", - "Total number of inequality constraints...............: 3840\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 3840\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -1.2652887e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -1.5469495e+09 1.94e+05 2.06e+04 -1.0 2.80e+06 - 2.43e-03 8.89e-01f 1\n", - " 2 -1.5843763e+09 7.89e+03 1.24e+04 -1.0 5.04e+05 - 6.40e-04 9.90e-01f 1\n", - " 3 -1.5848203e+09 2.33e+02 4.40e+03 -1.0 1.01e+04 - 4.84e-01 9.71e-01f 1\n", - " 4 -1.5848404e+09 1.61e+01 8.00e+03 -1.0 7.59e+01 - 1.06e-02 9.33e-01f 1\n", - " 5 -1.5848392e+09 1.63e+01 7.94e+03 -1.0 8.54e+03 - 9.13e-04 3.71e-02f 1\n", - " 6 -1.5848442e+09 1.53e+01 6.79e+03 -1.0 9.00e+02 - 3.36e-02 7.28e-01f 1\n", - " 7 -1.5848491e+09 1.18e+00 3.83e+04 -1.0 7.70e+01 -4.5 9.24e-01 1.00e+00h 1\n", - " 8 -1.5849990e+09 2.70e+00 4.97e+06 -1.0 1.13e+03 - 4.78e-01 1.00e+00f 1\n", - " 9 -1.5853741e+09 2.90e+00 4.92e+06 -1.0 2.08e+03 - 1.07e-02 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -1.5858830e+09 1.58e+00 4.55e+06 -1.0 9.60e+03 - 7.60e-02 1.00e+00f 1\n", - " 11 -1.5866189e+09 5.81e-01 3.78e+06 -1.0 1.22e+04 - 1.70e-01 1.00e+00f 1\n", - " 12 -1.5866530e+09 7.28e-04 1.81e+06 -1.0 3.52e+02 -5.0 5.20e-01 1.00e+00f 1\n", - " 13 -1.5885355e+09 3.41e-01 1.79e+06 -1.0 3.71e+04 - 1.46e-02 6.02e-01f 1\n", - " 14 -1.5916854e+09 6.04e-02 1.65e+06 -1.0 4.31e+04 - 7.66e-02 5.71e-01f 1\n", - " 15 -1.5994591e+09 9.82e-02 1.51e+06 -1.0 6.36e+04 - 8.39e-02 7.67e-01f 1\n", - " 16 -1.6220924e+09 9.04e-02 1.37e+06 -1.0 1.29e+05 - 9.15e-02 1.00e+00f 1\n", - " 17 -1.6255201e+09 8.48e-02 1.24e+06 -1.0 2.89e+05 - 9.45e-02 6.29e-02f 1\n", - " 18 -1.6255546e+09 8.43e-02 8.42e+05 -1.0 6.64e+04 - 3.23e-01 5.66e-03f 1\n", - " 19 -1.6255554e+09 8.07e-05 1.82e+05 -1.0 4.81e+01 -4.6 7.84e-01 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20 -1.6255556e+09 4.09e-09 1.82e+03 -1.0 2.40e+01 -4.2 9.90e-01 1.00e+00f 1\n", - " 21 -1.6256284e+09 1.62e-04 1.80e+03 -1.0 7.90e+06 - 8.90e-03 1.28e-02f 1\n", - " 22 -1.6256655e+09 4.06e-04 1.78e+03 -1.0 5.67e+06 - 1.27e-02 1.68e-02f 1\n", - " 23 -1.6256656e+09 7.30e-07 1.75e+01 -1.0 9.73e+00 -3.8 9.90e-01 1.00e+00f 1\n", - " 24 -1.6256802e+09 4.03e-04 1.71e+01 -1.0 4.21e+06 - 2.17e-02 2.24e-02f 1\n", - " 25 -1.6256855e+09 7.93e-04 1.64e+01 -1.0 5.23e+06 - 4.18e-02 2.31e-02f 1\n", - " 26 -1.6256858e+09 3.61e-06 1.35e-03 -1.0 2.74e+01 -4.3 1.00e+00 1.00e+00f 1\n", - " 27 -1.6257066e+09 3.31e-03 4.66e+01 -3.8 9.15e+05 - 3.90e-02 1.32e-01f 1\n", - " 28 -1.6257079e+09 2.83e-03 7.07e+06 -3.8 1.71e+02 -5.3 7.57e-01 1.43e-01f 1\n", - " 29 -1.6257100e+09 1.01e-03 2.89e+06 -3.8 2.15e+01 -3.9 8.97e-01 6.42e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30 -1.6257112e+09 6.18e-04 1.76e+06 -3.8 5.72e+01 -4.4 7.08e-01 3.89e-01f 1\n", - " 31 -1.6257116e+09 4.26e-04 1.21e+06 -3.8 2.29e+01 -4.0 6.58e-01 3.12e-01f 1\n", - " 32 -1.6257159e+09 3.62e-04 1.21e+06 -3.8 2.21e+08 - 6.28e-04 2.58e-04f 1\n", - " 33 -1.6257164e+09 2.03e-04 6.78e+05 -3.8 2.88e+01 -4.0 7.06e-01 4.41e-01f 1\n", - " 34 -1.6257166e+09 8.97e-05 3.00e+05 -3.8 1.10e+01 -3.6 9.80e-01 5.57e-01f 1\n", - " 35 -1.6257168e+09 7.37e-05 2.46e+05 -3.8 2.67e+01 -4.1 1.00e+00 1.78e-01f 1\n", - " 36 -1.6257443e+09 1.21e-02 2.46e+05 -3.8 7.70e+07 - 3.04e-04 9.74e-04f 1\n", - " 37 -1.6257446e+09 8.72e-03 1.78e+05 -3.8 2.69e+01 -4.1 1.00e+00 2.77e-01f 1\n", - " 38 -1.6257491e+09 9.50e-03 1.78e+05 -3.8 2.64e+08 - 3.73e-04 3.71e-04f 1\n", - " 39 -1.6257493e+09 7.12e-03 1.34e+05 -3.8 2.91e+01 -4.2 1.00e+00 2.50e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40 -1.6257494e+09 4.91e-03 9.21e+04 -3.8 1.09e+01 -3.8 1.00e+00 3.11e-01f 1\n", - " 41 -1.6257494e+09 2.84e-03 5.33e+04 -3.8 4.09e+00 -3.3 1.00e+00 4.21e-01f 1\n", - " 42 -1.6257495e+09 2.40e-03 4.49e+04 -3.8 1.22e+01 -3.8 1.00e+00 1.57e-01f 1\n", - " 43 -1.6257496e+09 2.04e-03 3.83e+04 -3.8 3.56e+01 -4.3 1.00e+00 1.48e-01f 1\n", - " 44 -1.6257496e+09 1.64e-04 3.07e+03 -3.8 2.22e-01 -2.1 1.00e+00 9.20e-01f 1\n", - " 45 -1.6257497e+09 1.75e-09 1.87e-03 -3.8 6.42e-01 -2.5 1.00e+00 1.00e+00f 1\n", - " 46 -1.6257651e+09 8.69e-03 8.78e-01 -3.8 2.99e+06 - 1.28e-03 1.66e-03f 1\n", - " 47 -1.6257725e+09 9.88e-03 8.91e-01 -3.8 1.31e+06 - 2.37e-03 1.66e-03f 1\n", - " 48 -1.6257725e+09 9.42e-03 8.49e-01 -3.8 2.10e+00 -2.2 5.12e-02 4.68e-02f 1\n", - " 49 -1.6257725e+09 3.83e-03 3.47e+00 -3.8 8.07e-01 -2.6 1.00e+00 5.94e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50 -1.6257786e+09 4.58e-03 3.45e+00 -3.8 5.08e+05 - 4.74e-03 4.41e-03f 1\n", - " 51 -1.6257786e+09 3.78e-03 1.87e+01 -3.8 7.03e+00 -3.6 1.00e+00 1.74e-01f 1\n", - " 52 -1.6257825e+09 7.07e-03 2.03e+01 -3.8 2.10e+05 - 1.07e-02 8.83e-03f 1\n", - " 53 -1.6257825e+09 6.26e-03 7.35e+01 -3.8 7.20e+00 -3.6 1.00e+00 1.15e-01f 1\n", - " 54 -1.6257826e+09 2.98e-03 3.82e+01 -3.8 2.67e+00 -3.2 1.00e+00 5.24e-01f 1\n", - " 55 -1.6257826e+09 2.38e-03 2.14e+02 -3.8 6.75e+00 -3.7 1.00e+00 2.00e-01f 1\n", - " 56 -1.6257826e+09 1.99e-03 4.91e+02 -3.8 1.45e+01 -4.2 1.00e+00 1.67e-01f 1\n", - " 57 -1.6257826e+09 1.43e-03 2.99e+02 -3.8 4.71e+00 -3.7 1.00e+00 2.81e-01f 1\n", - " 58 -1.6257827e+09 1.05e-03 2.97e+02 -3.8 1.13e+01 -4.2 1.00e+00 2.67e-01f 1\n", - " 59 -1.6257827e+09 1.36e-04 1.37e+01 -3.8 5.87e-01 -2.9 1.00e+00 8.70e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60 -1.6257827e+09 5.66e-05 3.63e+01 -3.8 1.67e+00 -3.4 1.00e+00 5.83e-01f 1\n", - " 61 -1.6257827e+09 4.23e-05 7.56e+01 -3.8 4.21e+00 -3.8 1.00e+00 2.53e-01f 1\n", - " 62 -1.6257848e+09 4.78e-03 7.53e+01 -3.8 7.92e+04 - 2.50e-02 1.88e-02f 1\n", - " 63 -1.6257856e+09 6.57e-03 8.57e+01 -3.8 2.72e+04 - 8.90e-02 2.58e-02f 1\n", - " 64 -1.6257856e+09 8.63e-04 2.18e+00 -3.8 2.06e+01 -3.5 1.00e+00 1.00e+00f 1\n", - " 65 -1.6257862e+09 6.60e-03 4.83e+02 -3.8 9.63e+03 - 3.90e-01 7.45e-02f 1\n", - " 66 -1.6257863e+09 1.85e-02 4.05e+02 -3.8 1.03e+03 - 3.54e-01 2.86e-01f 1\n", - " 67 -1.6257864e+09 1.18e-03 6.53e+01 -3.8 2.64e+01 -3.5 9.60e-01 1.00e+00f 1\n", - " 68 -1.6257864e+09 1.94e-05 2.66e+01 -3.8 1.46e+00 -4.0 1.00e+00 9.84e-01f 1\n", - " 69 -1.6257864e+09 9.34e-04 4.53e+01 -3.8 2.55e+02 - 1.00e+00 1.58e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70 -1.6257864e+09 1.85e-03 5.88e+02 -3.8 7.26e+01 - 3.51e-02 1.00e+00f 1\n", - " 71 -1.6257864e+09 1.41e-05 3.38e-03 -3.8 2.73e-01 -3.6 1.00e+00 1.00e+00h 1\n", - " 72 -1.6257864e+09 7.54e-10 4.31e-04 -3.8 2.00e-01 -4.1 1.00e+00 1.00e+00h 1\n", - " 73 -1.6257865e+09 3.25e-04 7.33e+01 -5.7 6.79e+01 - 6.06e-01 3.69e-01f 1\n", - " 74 -1.6257865e+09 2.79e-04 3.77e+01 -5.7 2.97e+01 - 2.94e-01 3.59e-01f 1\n", - " 75 -1.6257865e+09 1.49e-04 1.74e+03 -5.7 7.25e-01 -4.2 4.17e-01 4.66e-01f 1\n", - " 76 -1.6257865e+09 1.38e-04 1.62e+03 -5.7 4.20e+01 - 1.23e-01 7.54e-02f 1\n", - " 77 -1.6257865e+09 1.20e-04 1.41e+03 -5.7 2.21e+01 - 1.12e-01 1.31e-01f 1\n", - " 78 -1.6257865e+09 7.33e-05 9.04e+02 -5.7 1.51e+01 - 2.03e-01 3.60e-01f 1\n", - " 79 -1.6257865e+09 4.43e-05 5.65e+02 -5.7 5.83e+00 - 5.41e-01 3.75e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80 -1.6257865e+09 2.45e-05 3.17e+02 -5.7 2.22e+00 - 9.77e-01 4.43e-01f 1\n", - " 81 -1.6257865e+09 1.02e-05 3.55e+01 -5.7 9.31e-01 - 1.00e+00 8.89e-01f 1\n", - " 82 -1.6257865e+09 2.12e-06 1.97e-06 -5.7 1.69e-01 - 1.00e+00 1.00e+00f 1\n", - " 83 -1.6257865e+09 4.37e-07 9.98e-01 -7.0 4.03e-01 - 1.00e+00 7.86e-01f 1\n", - " 84 -1.6257865e+09 3.63e-09 9.68e-07 -7.0 8.42e-02 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 84\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: -3.8114044268361919e+07 -1.6257864944515448e+09\n", - "Dual infeasibility......: 9.6806290319652826e-07 4.1293534286596742e-05\n", - "Constraint violation....: 1.1641532182693481e-10 3.6270364489610070e-09\n", - "Variable bound violation: 6.2948834810092752e-09 6.2948834810092752e-09\n", - "Complementarity.........: 1.1226287044441443e-07 4.7886668051229792e-06\n", - "Overall NLP error.......: 9.6806290319652826e-07 4.1293534286596742e-05\n", - "\n", - "\n", - "Number of objective function evaluations = 85\n", - "Number of objective gradient evaluations = 85\n", - "Number of equality constraint evaluations = 85\n", - "Number of inequality constraint evaluations = 85\n", - "Number of equality constraint Jacobian evaluations = 85\n", - "Number of inequality constraint Jacobian evaluations = 85\n", - "Number of Lagrangian Hessian evaluations = 84\n", - "Total seconds in IPOPT = 266.364\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "data": { - "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212166, 'Number of variables': 211209, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 268.50064039230347}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# pyomo expression for full metric wtih scenario weights applied\n", "TEALMetric = sum( m.weights_scenarios[n] * scenario['NPV'] \n", @@ -4390,20 +2079,10 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": null, "id": "civil-celebration", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Optimal PEM capacity : 196.26160218551968 MW\n", - "Optimal tank capacity : 1.3599808605440433e-05 kg\n", - "OPtimal turbine capacity: 9.076360493623579e-05 MW\n" - ] - } - ], + "outputs": [], "source": [ "# Print Results\n", "print(\"Optimal PEM capacity : \", m.pem_capacity.value * 1e-3, \"MW\")\n", @@ -4413,21 +2092,10 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": null, "id": "protecting-asthma", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "generate_plots(m.scenario[0], d=8, y=2022, set_time=m.set_time, lmp=m.LMP[0])" ] From 299d5c6ee6899784b3f925e2fa3fa333be8aba7b Mon Sep 17 00:00:00 2001 From: "Gabriel J. Soto" Date: Wed, 28 Sep 2022 07:06:03 -0600 Subject: [PATCH 11/29] new notebook with both TEAL metrics and synthetic history generation --- .../nuclear_case/SynHist_integration.py | 132 + .../nuclear_case/TEAL_integration.py | 88 +- .../multiperiod_design_pricetaker_wTEAL.ipynb | 2138 --------- ...od_design_pricetaker_wTEALandSynhist.ipynb | 3351 ++++++++++++++ ...riod_design_pricetaker_wTEALwSynhist.ipynb | 1606 ------- ...riod_design_pricetaker_wTEALwSynhist.ipynb | 4049 ----------------- 6 files changed, 3547 insertions(+), 7817 deletions(-) create mode 100644 dispatches/case_studies/nuclear_case/SynHist_integration.py delete mode 100644 dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb create mode 100644 dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb delete mode 100644 dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALwSynhist.ipynb delete mode 100644 dispatches/multiperiod_design_pricetaker_wTEALwSynhist.ipynb diff --git a/dispatches/case_studies/nuclear_case/SynHist_integration.py b/dispatches/case_studies/nuclear_case/SynHist_integration.py new file mode 100644 index 000000000..6f48120e0 --- /dev/null +++ b/dispatches/case_studies/nuclear_case/SynHist_integration.py @@ -0,0 +1,132 @@ +################################################################################# +# DISPATCHES was produced under the DOE Design Integration and Synthesis +# Platform to Advance Tightly Coupled Hybrid Energy Systems program (DISPATCHES), +# and is copyright (c) 2022 by the software owners: The Regents of the University +# of California, through Lawrence Berkeley National Laboratory, National +# Technology & Engineering Solutions of Sandia, LLC, Alliance for Sustainable +# Energy, LLC, Battelle Energy Alliance, LLC, University of Notre Dame du Lac, et +# al. All rights reserved. +# +# Please see the files COPYRIGHT.md and LICENSE.md for full copyright and license +# information, respectively. Both files are also available online at the URL: +# "https://github.com/gmlc-dispatches/dispatches". +# +################################################################################# +__author__ = "Gabriel J. Soto, Anna Wrobel" + +# This file contains utility functions for generating synthetic histories from a trained reduced +# order model from RAVEN. +# Note that DISPATCHES, TEAL, and RAVEN are all assumed to be subdirectories within +# the same directory. +import os +import sys +from os import path +cwd = os.getcwd() +proj_dir = path.dirname( path.abspath( path.join(cwd, '../../..') ) ) +raven_dir = path.abspath( path.join(proj_dir, 'raven') ) +sys.path.append( proj_dir ) +sys.path.append( raven_dir ) +sys.path.append( path.abspath( path.join(raven_dir, 'scripts'))) +sys.path.append( path.abspath( path.join(raven_dir, 'plugins'))) + +from raven.ravenframework.utils import xmlUtils +from raven.scripts import externalROMloader + +import numpy as np +import operator + +################### +class SynHist_integration(): + """ + Class to facilitate integration of RAVEN's Synthetic History generation. + Primary use is to load an already-trained price signal ARMA model. This model is + built during the constructor of this class. + Additional methods included for sampling from ARMA model and restructure data to accommodate + DISPATCHES workflow. + """ + + def __init__(self, target_file): + """ + Constructor for SynHist_integration. + @ In, target_file, str, name of synthetic history file + @ Out, None + """ + self.target_file = target_file # full path for ARMA file + self.inp = {'scaling': [1]} # this is a dummy input used for sampling call to ARMA model object + self.runner = self.buildRunner() # builds object to run ARMA model sampling + + def buildRunner(self): + """ + Builds synthetic history object from a pickledROM. + Currently only ARMA models are supported for pickledROM. + """ + if not path.exists(self.target_file): + raise Exception(f"Target file not found at {self.target_file}") + + runner = externalROMloader.ravenROMexternal(self.target_file, raven_dir) + + nodes = [] + node = xmlUtils.newNode('ROM', attrib={'name': 'SyntheticHistory', 'subType': 'pickledRom'}) + node.append(xmlUtils.newNode('clusterEvalMode', text='clustered')) + nodes.append(node) + runner.setAdditionalParams(nodes) + return runner + + def generateSyntheticHistory(self, signal_name, set_years): + """ + Generates a sampled synthetic history from saved ROM object. + @In, signal_name, str, name of signal in ARMA model + @In, set_years, list, project years to simulate + @Out, synHist, dict, dictionary including synthetic history and metadata + """ + # sampling from ARMA model object + synHist = self.runner.evaluate(self.inp)[0] + newSynHist = {} # empty dictionary with restructured data + + # check that signal name included in synthetic history dictionary + if signal_name not in synHist.keys(): + raise Exception(f"Signal name {signal_name} not found in sampled history keys: {synHist.keys()}") + + # extract actual synthetic history data + synHistData = synHist[signal_name] + + # extract hourly, daily/cluster/ and year data arrays + indexMap = synHist['_indexMap'][0][signal_name] + if ('Time' in indexMap) or ('hour' in indexMap): + hourKey = 'Time' if 'Time' in indexMap else 'hour' + if '_ROM_Cluster' in indexMap: + clusterKey = '_ROM_Cluster' + if 'Year' in indexMap: + yearKey = 'Year' + + # time sets from generated synthetic history + synHistHours = np.asarray(synHist[hourKey]+1, dtype=int) + synHistDays = np.asarray(synHist[clusterKey]+1, dtype=int) # 20 clusters + synHistYears = synHist[yearKey] # 2018-2045 + + # checking that simulation years are included within synthetic history year set + if not set(set_years).issubset(synHistYears): + raise Exception(f"Years requested ({set_years}) not provided by ARMA Model: {synHistYears}") + + # getting cluster weights from ROM (deep hierarchy) + # using attrgetter to extract protected members -> self.runner.rom._segmentROM._macroSteps + cluster_steps = operator.attrgetter("runner.rom._segmentROM._macroSteps")(self) + newSynHist['weights_days'] = {} + newSynHist['LMP'] = {} + + # loop through ROM years to extract clusters per year + for year in set_years: + newSynHist['weights_days'][year] = {} + + for cluster in synHistDays: + # using attrgetter to extract protected members -> cluster_steps[year]._clusterInfo['map'] + cluster_map = operator.attrgetter('_clusterInfo')(cluster_steps[year])['map'] + cluster_ind = int(cluster-1) + newSynHist['weights_days'][year][cluster] = len(cluster_map[cluster_ind]) + + newSynHist['LMP'] = {year: {day: {hour: synHistData[y, int(day-1), int(hour-1)] + for hour in synHistHours} + for day in synHistDays} + for y, year in enumerate(set_years)} + + return newSynHist diff --git a/dispatches/case_studies/nuclear_case/TEAL_integration.py b/dispatches/case_studies/nuclear_case/TEAL_integration.py index 101dda45d..241346034 100644 --- a/dispatches/case_studies/nuclear_case/TEAL_integration.py +++ b/dispatches/case_studies/nuclear_case/TEAL_integration.py @@ -17,6 +17,8 @@ # This file contains utility functions for constructing and using TEAL cashflows and metrics. # First, we add TEAL to the current Python path. Note that DISPATCHES, TEAL, and RAVEN are all # assumed to be subdirectories within the same directory. +import numpy as np +import operator import os import sys from os import path @@ -29,13 +31,34 @@ sys.path.append( raven_dir ) sys.path.append( path.abspath( path.join(TEAL_dir, 'src') ) ) -import numpy as np -import operator from TEAL.src import CashFlows from TEAL.src import main as RunCashFlow +from TEAL.src.Amortization import MACRS ################### -def build_econ_settings(cfs, life=5, dr=0.1, tax=0.21, infl=0.02184): +def checkAmortization(projLife, amortYears=None): + """ + Check proposed amortization schedule against intended project life. + If amortization schedule not provided, calculates an appropriate + one that is less than project life. + + @ In, projLife, CashFlow, project lifetime + @ In, amortYears, float or int, intended amortization years (defaults to None) + @ Out, amortYears, float or int, corrected amortization years + """ + MACRS_yrs = np.array(list(MACRS.keys())) # available amortization years + amortIsCorrect = bool(amortYears is not None and projLife > amortYears) # check if recalc is needed + + # amortization years longer than intended project life, must recalculate + if not amortIsCorrect: + assert isinstance(amortYears, (float, int)) + amortYears = MACRS_yrs[projLife > MACRS_yrs].max() # largest value less than project life + print("Proposed amortization schedule cannot be longer than intended project life.") + print(f"Returning a shortened schedule: {amortYears} yrs") + + return amortYears + +def build_econ_settings(cfs, life=5, dr=0.1, tax=0.21, infl=0.02184, metrics=None): """ Constructs global settings for economic run. Repurposed from TEAL/tests/PyomoTest.py @@ -45,18 +68,29 @@ def build_econ_settings(cfs, life=5, dr=0.1, tax=0.21, infl=0.02184): @ In, dr, float, discount rate @ In, tax, float, the amount of tax ratio to apply @ In, infl, float, the amount of inflation ratio to apply + @ In, metrics, list, economic metrics to calculate with cashflows @ Out, settings, CashFlow.GlobalSettings, settings """ + available_metrics = ['NPV',] # TODO: add IRR, PI + + # check against possible economic metrics supported by TEAL that provide Pyomo expressions + if metrics is not None: + residual = set(metrics) - set(available_metrics) # extra metrics that are not supported + if len(residual) > 0: + raise Exception(f"Requested metrics not in supported list: {available_metrics}") + else: + metrics = available_metrics + active = [] for comp_name, cf_list in cfs.items(): for cf in cf_list: active.append(f'{comp_name}|{cf}') - print(active) + assert 'NPV' in metrics params = {'DiscountRate': dr, 'tax': tax, 'inflation': infl, 'ProjectTime': life, - 'Indicator': {'name': ['NPV'], # TODO: check IRR, PI + 'Indicator': {'name': metrics, # TODO: check IRR, PI 'active': active} } settings = CashFlows.GlobalSettings() @@ -64,7 +98,6 @@ def build_econ_settings(cfs, life=5, dr=0.1, tax=0.21, infl=0.02184): setattr(settings, "_verbosity", 0) return settings - def build_TEAL_Component(name, comp, mdl, scenario=None, scenario_ind=None): """ Constructs TEAL component which holds all desired cash flows (capex, etc.) @@ -79,27 +112,28 @@ def build_TEAL_Component(name, comp, mdl, scenario=None, scenario_ind=None): """ # if scenario is None, we are doing LMP Deterministic (only 1 scenario) # otherwise, mdl is the main Pyomo model and scenario is the submodel for the scenario within mdl - if scenario is None: - scenario = mdl - + scenario = mdl if scenario is None else scenario + life = np.min([mdl.plant_life, comp['Lifetime']]) tealComp = CashFlows.Component() tealComp.setParams({'name': name, - 'Life_time': comp['Lifetime']}) + 'Life_time': life}) cashFlows = [] - for cfName, cfDict in comp.items(): if cfName == 'Capex': - alpha, driver = getCapexVarFromModel(cfDict, scenario) - capex = createCapex(alpha, driver, mdl.plant_life) + alpha, driver = getCapexVarFromModel(cfDict, scenario) # get Pyomo expressions + capex = createCapex(alpha, driver, life) # create actual TEAL cash flow cashFlows.append(capex) - capex.setAmortization('MACRS', 15) - amorts = tealComp._createDepreciation(capex) - cashFlows.extend(amorts) + if 'Amortization' in cfDict.keys(): + # check desired time < proj years + amort = checkAmortization( life, cfDict['Amortization'] ) + capex.setAmortization('MACRS', amort) # calculate schedule + amorts = getattr(tealComp, '_createDepreciation')(capex) # create actual TEAL cash flow + cashFlows.extend(amorts) elif cfName == 'FixedOM': alpha, driver = getCapexVarFromModel(cfDict, scenario) - fixedOM = createRecurringYearly(alpha, driver, mdl.yearsFullVec) + fixedOM = createRecurringYearly(alpha, driver, mdl.set_years) cashFlows.append(fixedOM) elif cfName == 'Hourly': @@ -143,6 +177,7 @@ def getCapexVarFromModel(cfDict, scenario): exprs = cfDict['Expressions'] assert( len(mults)==len(exprs) ) # NOTE: Multiplier same length as Driver + # extraction of attribute looks like: model.expression[i] pyomoExpr = [operator.attrgetter(exprs[i])(scenario) for i in range(len(exprs))] driver = [m*pexp for m, pexp in zip(mults, pyomoExpr)] driver = driver[0] @@ -172,7 +207,7 @@ def getDispatchVarFromModel(cfDict, mdl, scenario, scenario_ind=None): n_years = len(mdl.set_years) n_projLife = mdl.plant_life + 1 - yearsMapArray = mdl.yearsFullVec # looks like [0, 2022, 2022, 2022, 2022, ... 2032, ... ] + yearsMapArray = np.hstack([0, mdl.set_years]) # looks like [0, 2022, 2022, 2022, 2022, ... 2032, ... ] n_hours_per_year = n_hours * n_days # sometimes number of days refers to clusters < 365 @@ -182,6 +217,11 @@ def getDispatchVarFromModel(cfDict, mdl, scenario, scenario_ind=None): time_shape = (n_years, n_hours_per_year) # reshaping the tuples array to match HERON dispatch indeces = indeces.reshape(time_shape) + if mdl.stochastic: + weights_days = mdl.weights_days[scenario_ind] + else: + weights_days = mdl.weights_days + # currently, taking this to mean that we are using the LMP signal... # TODO: needs to be more general here if alpha == []: @@ -193,10 +233,12 @@ def getDispatchVarFromModel(cfDict, mdl, scenario, scenario_ind=None): # clusterhour loops through hours first, then cluster if mdl.stochastic: signal = signal[scenario_ind] + + realized_alpha = [[signal[y][d][h] \ for d in mdl.set_days for h in mdl.set_time] # order here matches *indeces* - for y in mdl.yearsFullVec[1:]] #shape here is [year, hour] + for y in yearsMapArray[1:]] #shape here is [year, hour] # # first column of year axis is 0 for project year 0 realized_alpha = np.array(realized_alpha) alpha[1:,:] = realized_alpha @@ -220,14 +262,13 @@ def getDispatchVarFromModel(cfDict, mdl, scenario, scenario_ind=None): # getting weights for each day/cluster dy, yr = ind[1:] - weight = mdl.weights_days[yr][dy] # extracting weight for year + day + weight = weights_days[yr][dy] # extracting weight for year + day # storing individual Pyomo dispatch dispatch_array[p, time] = dispatch_driver * weight return alpha, dispatch_array - ################################### # Methods to create TEAL components ################################### @@ -257,7 +298,6 @@ def createCapex(alpha, driver, projLife): cf.setParams(cfParams) return cf - def createRecurringYearly(alpha, driver, lifeVector): """ Constructs a TEAL Yearly Cashflow @@ -266,6 +306,7 @@ def createRecurringYearly(alpha, driver, lifeVector): @ In, lifeVector, numpy array, years in project life @ Out, cf, TEAL.src.CashFlows.Component, cashflow sale for the recurring yearly """ + lifeVector = np.hstack([0, lifeVector]) cf = CashFlows.Recurring() cfParams = {'name': 'FixedOM', 'X': 1, @@ -285,7 +326,6 @@ def createRecurringYearly(alpha, driver, lifeVector): cf.computeYearlyCashflow(alphas, drivers) return cf - def createRecurringHourly(alpha, driver, projLife): """ Constructs a TEAL Hourly Cashflow @@ -315,7 +355,7 @@ def createRecurringHourly(alpha, driver, projLife): def restructure_LMP(m): """ - Restructures LMP signal from JSON to be more compatible with TEAL + Restructures LMP signal from JSON to be more compatible with TEAL (might be deprecated) @ In, m, Pyomo model, multiperiod Pyomo model @ Out, None, None """ diff --git a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb deleted file mode 100644 index 179240c7f..000000000 --- a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEAL.ipynb +++ /dev/null @@ -1,2138 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "377a6d3a", - "metadata": {}, - "source": [ - "# Integrated Energy Systems: Nuclear Case Study using TEAL \n", - "\n", - "In this notebook, we formulate a multi-period optimization problem that determines the optimal design of an integrated energy system producing electricity and hydrogen such that its net present value (NPV) is maximized for a given market signal. We consider an **existing** nuclear power plant of 1000 MW capcity as the genator. In general, due to safety restrictions, nuclear power plants are not amenable for ramping. Therefore, we assume that the power plant always operates at its base load (i.e., 1000 MW). We are interested in determining whether the following options are attractive (i.e., maximize NPV):\n", - "\n", - "- Produce hydrogen using a portion of the electricity, especially during periods of low electricity demand, and sell it.\n", - "- Produce hydrogen, store it in a tank, and combust it to produce electrity during the periods of high electricity demand.\n", - "\n", - "Towards this, we formulate the superstructure shown in the figure below.\n", - "\n", - "![](schematic_nuclear_flowsheet.png \"Nuclear Flowsheet\")\n", - "\n", - "In the figure, arrows in red and blue denote that electricity and material, respectively, flows through them. ID denotes the name of the object containing the corresponding unit's model in the code, and DD and OD stand for design decision and operating decision, respectively. \n", - "\n", - "Here, we use a PEM (polymer electrolyte membrane) electrolyzer to produce hydrogen via water electrolysis. Current PEM technology requires ~54 kWh/kg of hydrogen (see https://www.h-tec.com/en/products/detail/h-tec-pem-electrolyser-me100-350/me100-350/ , last accessed on February 18, 2022). The produced hydrogen is stored in a tank, which can either be sold to the market via a pipeline, or combusted in a hydrogen turbine to produce electricity during the periods of high demand for electricity. Note that\n", - "\n", - "- The hydrogen tank is modeled as a simple inventory model i.e., only mass balance is enforced. The enthalpy balance is not included in the model. If needed, the `SimplifiedHydrogenTank` model in the flowsheet can be replaced with a more detailed tank model (the DISPATCHES repository has a more detailed tank model that enforces enthalpy balance as well).\n", - "- The hydrogen turbine is modeled as a compressor, a stochiometric reactor, and a turbine connected in series. \n", - "\n", - "In the flowsheet model, we use two different thermodynamic packages: one for the PEM electrolyzer and the hydrogen tank, and the other for the mixer and the hydrogen turbine. This is because, the material stream(s) to and from the former units only contain hydrogen. Whereas, the material stream(s) to and from the latter units contain nitrogen, oxygen, water and argon, in addition to hydrogen. The translator block facilitates the use of multiple thermodynamic packages by connecting properties across the packages. \n", - "\n", - "### Objective\n", - "For a given market signal, our objective is to determine the optimal design decisions,\n", - "\n", - "- Size of the PEM electrolyzer (`pem_capacity`: maximum rated capacity of the PEM electrolyzer, in MW)\n", - "- Size of the hydrogen tank (`tank_capacity`: maximum amount of hydrogen that can be stored in the tank, in kg)\n", - "- Size of the hydrogen turbine (`turbine_capacity`: maximum power the hydrogen turbine can produce, in MW)\n", - "\n", - "and the optimal operating decisions,\n", - "\n", - "- Split fraction of electricity to the pem electrolyzer (`m.fs.np_power_split.split_fraction[\"np_to_pem\", 0]`)\n", - "- Molar flowrate of hydrogen to the pipeline (`m.fs.h2_tank.outlet_to_pipeline.flow_mol[0]`)\n", - "- Molar flowrate of hydrogen to the turbine (`m.fs.h2_tank.outlet_to_turbine.flow_mol[0]`)\n", - "\n", - "which maximize the NPV.\n", - "\n", - "### TEAL Installation\n", - "The Tool for Economic Analysis (TEAL) Python software is a plugin for the Risk Analysis Virtual Environment (RAVEN) and developed at Idaho National Lab (INL). TEAL is aimed to contain and deploy complex economic analyses. It allows for a generic definition of cash flows, flexible options to deal with taxes, inflation, discounting, and offers capabilities to compute combined cashflows for components. It also enables the ability to compute different economic metrics: Net Present Value (NPV), Internal Rate of Return (IRR), and Profitability Index (PI). More information on TEAL can be found at https://github.com/idaholab/TEAL. \n", - "\n", - "To run TEAL, first the user must build and install the RAVEN software package on their machine. Installation instructions for Mac, Linux, and Windows can be found here: https://github.com/idaholab/raven/wiki/installationMain. This will create a Python environment with all RAVEN and TEAL dependencies installed. \n", - "\n", - "To install TEAL, follow the instructions here: https://github.com/idaholab/raven/wiki/Plugins#registration-and-installation. \n", - "\n", - "Once RAVEN and TEAL are installed, the easiest way to integrate TEAL with DISPATCHES is to pip install DISPATCHES and all dependencies within the RAVEN Python environment (there will be future work in getting RAVEN installed as its own pip install-able package). First, activate the RAVEN environment (here referred to as ``raven_libraries``) and then install DISPATCHES as follows:\n", - "\n", - "```bash\n", - " # activate existing RAVEN python environment using conda\n", - " cd raven\n", - " conda activate raven_libraries\n", - "\n", - " # load raven libraries (if on Windows and using Anaconda Prompt, run 'conda install m2-base' to get sh command)\n", - " sh ./scripts/establish_conda_env.sh --load\n", - "\n", - " # here, assuming that DISPATCHES and RAVEN are in same directory\n", - " cd ../dispatches \n", - "\n", - " # usually got an SSL certificate error, fix is to add github to trusted hosts\n", - " python -m pip install -r requirements-dev.txt --trusted-host=codeload.github.com\n", - "```\n", - "\n", - "Next, we import the required packages and functions needed for the formulation of the optimization problem." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "automated-antigua", - "metadata": {}, - "outputs": [], - "source": [ - "# General python imports\n", - "import json\n", - "\n", - "# Pyomo imports\n", - "from pyomo.environ import (ConcreteModel,\n", - " RangeSet,\n", - " Var,\n", - " NonNegativeReals,\n", - " Constraint,\n", - " Expression,\n", - " Objective,\n", - " maximize,\n", - " units as pyunits)\n", - "\n", - "# IDAES imports\n", - "from idaes.core.solvers import get_solver\n", - "from idaes.core.util.model_statistics import degrees_of_freedom\n", - "\n", - "# Nuclear flowsheet function imports\n", - "from dispatches.case_studies.nuclear_case.nuclear_flowsheet import (build_ne_flowsheet,\n", - " fix_dof_and_initialize)\n", - "\n", - "# Import function for the construction of the multiperiod model\n", - "from dispatches.case_studies.nuclear_case.multiperiod import (\n", - " build_multiperiod_design,\n", - " plot_lmp_and_schedule)\n", - "\n", - "from dispatches.case_studies.nuclear_case.TEAL_integration import (\n", - " restructure_LMP,\n", - " build_econ_settings,\n", - " build_TEAL_Component,\n", - " calculate_TEAL_metrics)" - ] - }, - { - "cell_type": "markdown", - "id": "centered-tamil", - "metadata": {}, - "source": [ - "## Simulation of the Flowsheet\n", - "\n", - "Before we formulate the multiperiod optimization problem, we first simulate the nuclear flowsheet and print some results. This helps the reader to familiarize themselves with the names, along with their default units, of a few important variables. The readers are encouraged to go through the `nuclear_flowsheet.py` script. It contains the function `build_ne_flowsheet` which assembles models for all the units in the flowsheet, and connects them via `Arc` objects. It also contains the function `fix_dof_and_initialize` which fixes the degrees of freedom and initializes the entire flowsheet.\n", - "\n", - "The flowsheet has four degrees of freedom viz.,\n", - "\n", - "- Split fraction of electricity to the grid in the power splitter (variable `m.fs.np_power_split.split_fraction[\"np_to_grid\", 0]` in the model). We fix this variable to 0.8.\n", - "- Molar flowrate of hydrogen to the pipeline (variable `m.fs.h2_tank.outlet_to_pipeline.flow_mol[0]`). We fix this variable to 10 mol/s.\n", - "- Molar flowrate of hydrogen to the turbine (variable `m.fs.h2_tank.outlet_to_turbine.flow_mol[0]`). We fix this variable to 10 mol/s.\n", - "- Initial holdup of hydrogen in the tank (variable `m.fs.h2_tank.tank_holdup_previous[0]`). We fix this variable to 0 mol.\n", - "\n", - "These variables are fixed in the `fix_dof_and_initialize` function. In addition to the above three variables, we also fix the variables shown in the table below. We do not refer these variables as degrees of freedom, because they remain fixed at these values in the multiperiod optimization model.\n", - "\n", - "| Name | Variable | Value |\n", - "| :- | :- | :-: |\n", - "| Pressure difference across `h2_turbine`'s compressor | `m.fs.h2_turbine.compressor.deltaP` | 24.01 bar |\n", - "| Isentropic efficiency of `h2_turbine`'s compressor | `m.fs.h2_turbine.compressor.efficiency_isentropic` | 0.86 |\n", - "| Conversion of hydrogen in `h2_turbine`'s reactor | `m.fs.h2_turbine.stoic_reactor.conversion` | 0.99 |\n", - "| Pressure deifference across `h2_turbine`'s turbine | `m.fs.h2_turbine.turbine.deltaP` | -24.01 bar |\n", - "| Isentripic efficiency of `h2_turbine`'s turbine | `m.fs.h2_turbine.turbine.efficiency_isentropic` | 0.89 |\n", - "| Molar flow rate of air to `h2_turbine` | `m.fs.mixer.air_feed.flow_mol[0]` | 10.76 * molar flowrate of hydrogen to turbine |\n", - "| Temperature of air | `m.fs.mixer.air_feed.temperature[0]` | 300 K |\n", - "| Pressure of air | `m.fs.mixer.air_feed_pressure[0]` | 1.01325 bar |\n", - "| Duration of the simulation for `h2_tank` | `m.fs.h2_tank.dt` | 3600 s |\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "annoying-myrtle", - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2022-09-20 08:51:47 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-09-20 08:51:47 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:47 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:47 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-09-20 08:51:47 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:47 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-09-20 08:51:47 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:47 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:47 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-09-20 08:51:48 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:48 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:48 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:48 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-09-20 08:51:48 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:48 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-09-20 08:51:48 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:48 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:48 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:48 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-09-20 08:51:48 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:48 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-09-20 08:51:49 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:49 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-09-20 08:51:49 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:49 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:49 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-20 08:51:49 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-09-20 08:51:49 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-09-20 08:51:49 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:49 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-09-20 08:51:49 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:49 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:49 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-09-20 08:51:49 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:49 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:50 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-20 08:51:50 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-09-20 08:51:50 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:50 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-09-20 08:51:50 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:50 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-09-20 08:51:50 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-20 08:51:50 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-09-20 08:51:50 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:50 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-09-20 08:51:51 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:51 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:51 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-09-20 08:51:51 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:51 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-20 08:51:51 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-20 08:51:51 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", - "Degrees of freedom: 0\n", - "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", - "tol=1e-06\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.14.7, running with linear solver MUMPS 5.5.0.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 593\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 204\n", - "\n", - "Total number of variables............................: 215\n", - " variables with only lower bounds: 20\n", - " variables with lower and upper bounds: 180\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 215\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 5.55e+04 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 0.0000000e+00 3.49e-08 2.36e-01 -1.0 9.80e-03 - 9.90e-01 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 1\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 2.3283064365386963e-10 3.4924596548080444e-08\n", - "Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 2.3283064365386963e-10 3.4924596548080444e-08\n", - "\n", - "\n", - "Number of objective function evaluations = 2\n", - "Number of objective gradient evaluations = 2\n", - "Number of equality constraint evaluations = 2\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 2\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 1\n", - "Total seconds in IPOPT = 0.009\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "data": { - "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.145463228225708}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Create a concrete model object\n", - "m = ConcreteModel()\n", - "\n", - "# Build the nuclear flowsheet\n", - "build_ne_flowsheet(m)\n", - "\n", - "# Fix the degrees of freedom and initialize\n", - "fix_dof_and_initialize(m)\n", - "\n", - "# Ensure that the resulting model is a square problem i.e., its degrees of freedom must be 0\n", - "print(\"Degrees of freedom: \", degrees_of_freedom(m))\n", - "assert degrees_of_freedom(m) == 0\n", - "\n", - "# Create a solver object with the default solver (IPOPT)\n", - "solver = get_solver()\n", - "\n", - "# Simulate the entire flowsheet\n", - "solver.solve(m, tee=True)" - ] - }, - { - "cell_type": "markdown", - "id": "average-replacement", - "metadata": {}, - "source": [ - "Verify that IPOPT converges to the optimal solution. Next, we print some results. Note the names of the variables and their default units (we use Pyomo's `units`, imported as `pyunits`, to obtain the units of a variable). Units are needed to correctly define the cash flow expressions later." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "animal-astronomy", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Nuclear plant power production : 1000000.0 kW\n", - "Electricity to grid : 800000.0 kW\n", - "Electricity to PEM : 199999.99999999997 kW\n", - "\n", - "Flowrate of H2 from pem : 505.4811999999999 mol/s\n", - "\n", - "Flowrate of H2 to tank : 505.4811999999999 mol/s\n", - "Flowrate of H2 to pipeline : 10 mol/s\n", - "Flowrate of H2 to turbine : 10 mol/s\n", - "Initial tank holdup : 0 mol\n", - "Tank holdup at the end of 1 hr : 1747732.3199999996 mol\n", - "H2 Turbine's compressor work : 1764604.5955977994 kg*m**2/s**3\n", - "H2 Turbine's turbine work : -2672169.126200441 kg*m**2/s**3\n", - "Net power produced by turbine : 907564.5306026414 kg*m**2/s**3\n" - ] - } - ], - "source": [ - "def get_units(obj):\n", - " return str(pyunits.get_units(obj))\n", - "\n", - "# Print results: power splitter\n", - "print(\"Nuclear plant power production : \", m.fs.np_power_split.electricity[0].value,\n", - " get_units(m.fs.np_power_split.electricity[0]))\n", - "print(\"Electricity to grid : \", m.fs.np_power_split.np_to_grid_port.electricity[0].value,\n", - " get_units(m.fs.np_power_split.np_to_grid_port.electricity[0]))\n", - "print(\"Electricity to PEM : \", m.fs.np_power_split.np_to_pem_port.electricity[0].value,\n", - " get_units(m.fs.np_power_split.np_to_pem_port.electricity[0]))\n", - "print()\n", - "\n", - "# Print results: PEM electrolyzer\n", - "print(\"Flowrate of H2 from pem : \", m.fs.pem.outlet.flow_mol[0].value,\n", - " get_units(m.fs.pem.outlet.flow_mol[0]))\n", - "print()\n", - "\n", - "# Print results: Hydrogen tank\n", - "print(\"Flowrate of H2 to tank : \", m.fs.h2_tank.inlet.flow_mol[0].value,\n", - " get_units(m.fs.h2_tank.inlet.flow_mol[0]))\n", - "print(\"Flowrate of H2 to pipeline : \", m.fs.h2_tank.outlet_to_pipeline.flow_mol[0].value,\n", - " get_units(m.fs.h2_tank.outlet_to_pipeline.flow_mol[0]))\n", - "print(\"Flowrate of H2 to turbine : \", m.fs.h2_tank.outlet_to_turbine.flow_mol[0].value,\n", - " get_units(m.fs.h2_tank.outlet_to_turbine.flow_mol[0]))\n", - "print(\"Initial tank holdup : \", m.fs.h2_tank.tank_holdup_previous[0].value,\n", - " get_units(m.fs.h2_tank.tank_holdup_previous[0]))\n", - "print(\"Tank holdup at the end of 1 hr : \", m.fs.h2_tank.tank_holdup[0].value,\n", - " get_units(m.fs.h2_tank.tank_holdup[0]))\n", - "\n", - "# Print results: Hydrogen Turbine\n", - "print(\"H2 Turbine's compressor work : \", m.fs.h2_turbine.compressor.work_mechanical[0].value,\n", - " get_units(m.fs.h2_turbine.compressor.work_mechanical[0]))\n", - "print(\"H2 Turbine's turbine work : \", m.fs.h2_turbine.turbine.work_mechanical[0].value,\n", - " get_units(m.fs.h2_turbine.turbine.work_mechanical[0]))\n", - "print(\"Net power produced by turbine : \", (- m.fs.h2_turbine.turbine.work_mechanical[0].value\n", - " - m.fs.h2_turbine.compressor.work_mechanical[0].value),\n", - " get_units(m.fs.h2_turbine.compressor.work_mechanical[0]))" - ] - }, - { - "cell_type": "markdown", - "id": "accessory-paris", - "metadata": {}, - "source": [ - "Observe that the power variables in the power splitter model and the PEM electrolyzer model use kW. Whereas, the power variables (mechanical work) use in the hydrogen turbine model use W. This complete the simulation of the flowsheet. Before proceeding further, we delete the object `m` to avoid confusion" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "guilty-appliance", - "metadata": {}, - "outputs": [], - "source": [ - "# Delete the object containing the flowsheet\n", - "del m" - ] - }, - { - "cell_type": "markdown", - "id": "210c5afa", - "metadata": {}, - "source": [ - "## Define TEAL Component Cash Flows\n", - "\n", - "We now add a template dictionary with all the Nuclear Case components. \n", - "Each plant component has nested dictionaries for each desired TEAL cash flow. \n", - "Note that all cash flows are defined as:\n", - " $$C_y = m \\alpha_y \\bigg(\\frac{D_y}{D^{\\prime}}\\bigg)^X$$\n", - "The cash flow $C_y$ is indexed by year, but hourly indeces can also be created and summed per year. Other parameters include $\\alpha$, the reference price, $D_y$ the driver for the cash flow (e.g., number of units sold, hours of electricity produced, etc.), $D^{\\prime}$ the reference driver corresponding to $\\alpha$ (optional), $X$ the scaling factor, and $m$ an extra multiplier.\n", - "\n", - "\n", - "The cash flow dictionaries below must have:\n", - "1. an **Expression**: a list of strings of the Pyomo variable name used as the cash flow driver ($D_y$)\n", - "2. a **Value**: the cost per unit ($\\alpha$)\n", - "3. a **Multiplier**: an extra multiplier to distinguish between +/- cash flows ($m$)\n", - "\n", - "Each component must also have a Lifetime but all currently set to be the same. The TEAL-DISPATCHES integration currently does not support scaling factors. " - ] - }, - { - "cell_type": "markdown", - "id": "d0b46352", - "metadata": {}, - "source": [ - "We use the numbers in the table below for constructing the cash flow expressions.\n", - "\n", - "| Unit | CAPEX | Fixed O&M | Variable O&M |\n", - "| :- | :-: | :-: | :-: |\n", - "| PEM Electrolyzer | \\$1630 /kW | \\$47.9 /kW | \\$1.3 /MWh |\n", - "| Hydrogen tank | \\$29 /kWh | 0 | 0 |\n", - "| Hydrogen turbine | \\$947 /kW | \\$7 /kW | \\$4.25 /Mwh|\n", - "\n", - "We refer the reader to the Simulation of the Flowsheet section for the default units of the decision variables. We convert the cost numbers so that the units are consistent with that of the variable." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "e7fcb9cb", - "metadata": {}, - "outputs": [], - "source": [ - "components={\n", - " # Electrolyzer: negative Cash flows\n", - " \"pem\":{ \n", - " \"Lifetime\": 20,\n", - " \"Capex\":{\n", - " \"Expressions\": ['pem_capacity'],\n", - " \"Value\": 1630, # $/kW\n", - " \"Multiplier\": [-1],\n", - " },\n", - " \"FixedOM\":{\n", - " \"Expressions\": ['pem_capacity'],\n", - " \"Value\": 47.9, # $/kW\n", - " \"Multiplier\": [-1],\n", - " },\n", - " \"Hourly\":{\n", - " \"Expressions\": ['fs.pem.electricity'],\n", - " \"Value\": 1.3e-3, # $/MWh -> $/kWh\n", - " \"Multiplier\": [-1],\n", - " },\n", - " },\n", - " # Hydrogen Tank: negative Cash flows\n", - " \"h2tank\":{\n", - " \"Lifetime\": 20,\n", - " \"Capex\":{\n", - " \"Expressions\": ['tank_capacity'],\n", - " \"Value\": 1.946851199, # $29/kWh * 33.3 kWh/kg * 2.016e-3 kg/mol\n", - " \"Multiplier\": [-1],\n", - " },\n", - " },\n", - " # Hydrogen Turbine: negative Cash flows\n", - " \"h2turbine\":{ \n", - " \"Lifetime\": 20,\n", - " \"Capex\":{\n", - " \"Expressions\": ['h2_turbine_capacity'],\n", - " \"Value\": 0.947, # $/kW -> $/W\n", - " \"Multiplier\": [-1],\n", - " },\n", - " \"FixedOM\":{\n", - " \"Expressions\": ['h2_turbine_capacity'],\n", - " \"Value\": 0.007, # $/kW -> $/W\n", - " \"Multiplier\": [-1],\n", - " },\n", - " \"Hourly\":{\n", - " \"Expressions\": ['fs.h2_turbine.turbine.work_mechanical',\n", - " 'fs.h2_turbine.compressor.work_mechanical'],\n", - " \"Value\": 4.25e-6, # $/MWh -> $/Wh\n", - " \"Multiplier\": [1, 1], # these values come out with correct sign in expression\n", - " },\n", - " },\n", - " # Electricity Market: positive Cash flows\n", - " \"electricity_market\":{\n", - " \"Lifetime\": 20,\n", - " \"Hourly\":{\n", - " \"Expressions\": ['fs.np_power_split.np_to_grid_port.electricity',\n", - " 'fs.h2_turbine.turbine.work_mechanical',\n", - " 'fs.h2_turbine.compressor.work_mechanical'],\n", - " \"Value\": [], # this is LMP in $/MWh, should be path str to ROM\n", - " \"Multiplier\": [1e-3, -1e-6, -1e-6], # converting to $/kWh and $/Wh\n", - " },\n", - " },\n", - " # Hydrogen Market: positive Cash flows\n", - " \"h2_market\":{\n", - " \"Lifetime\": 20,\n", - " \"Hourly\":{\n", - " \"Expressions\": ['fs.h2_tank.outlet_to_pipeline.flow_mol'], # this is in mol/s\n", - " \"Value\": 3.0, # this is $/kg\n", - " \"Multiplier\": [7.2576] # convert from $/kg -> $/mol and also converting mol/s to mol/hr\n", - " },\n", - " },\n", - "}" - ] - }, - { - "cell_type": "markdown", - "id": "alert-packing", - "metadata": {}, - "source": [ - "## Multiperiod Optimization Model: Deterministic\n", - "\n", - "### LMP Signal\n", - "Our objective is to determine the optimal size of the PEM, tank and turbine maximizing the NPV for a given 'market signal'. Throughout the notebook, by market signal or price signal, we refer to the locational marginal price (LMP) (selling price of electricity, in $/MWh) as a function of time. The LMP depends on several factors such as weather, demand, generator mix of the grid, and so forth. Owing to the uncertain nature of some those factors, it is not possible to predict the exact value of the LMP way into the future. Nevertheless, in this section, we **assume that the LMP signal is accurate** (i.e., there is no uncertainty in the price). Later, we show how the same framework/workflow can be used to easily formulate a stochastic program to handle the uncertainty in the price signal. \n", - "\n", - "Here, we use the LMP data contained in the file `lmp_signal.json`. This dataset is generated by FORCE (link goes here) using the 2019/2020 New York Independent System Operator (NYISO) price data. FORCE divides the 365 days of a year into a specified number of clusters (20, in our case), and generates the LMP signal for each cluster (Note that the LMP signal is the same for all the days of a cluster). The figure below plots the LMP signal for cluster 1 (left) and cluster 8.\n", - "\n", - "![](sample_lmp_plots.png)\n", - "\n", - "As evident from the figure, the price can vary significantly in a day, and from cluster to cluster. Given the variation, we are interested in determining if producing hydrogen, especially during the periods when LMP is low, is attractive or not. \n", - "\n", - "For the demonstration, we do not use the entire dataset in `lmp_signal.json`. Instead, we use the LMP signal only for the years 2022 and 2032. We assume that the plant lifetime is twenty years. We use the 2022 LMP signal for the first ten years (i.e., 2022 - 2031), and the 2032 LMP signal for the next ten years (i.e., 2032 - 2041). If desired, the LMP data for the intermediate years can be easily included in the model with a slight modification to the code." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "involved-skill", - "metadata": {}, - "outputs": [], - "source": [ - "# Load the LMP dataset\n", - "with open(\"lmp_signal.json\") as fp:\n", - " lmp_dataset = json.load(fp)\n", - " \n", - "# Gather the LMP data needed for the deterministic case\n", - "# Notation: lmp_dataset[scenario][year][cluster/day][time/hour]\n", - "lmp_deterministic = {year: {cluster: {hour: lmp_dataset[\"0\"][str(year)][str(cluster)][str(hour)]\n", - " for hour in range(1, 25)} \n", - " for cluster in range(1, 21)}\n", - " for year in [2022, 2032]}\n", - "\n", - "# Size of each cluster/number of days in a year represented by the cluster\n", - "weights_days = {year: {cluster: lmp_dataset[str(0)][str(year)][str(cluster)][\"num_days\"]\n", - " for cluster in range(1, 21)}\n", - " for year in [2022, 2032]}\n" - ] - }, - { - "cell_type": "markdown", - "id": "boxed-pattern", - "metadata": {}, - "source": [ - "Now, we formulate the multi-period price-taker problem to determine the optimal design and operating decisions maximizing the NPV. The optimization problem is of the form\n", - "$$ \\begin{aligned}\n", - "\\max_{D, u_{t, d}} \\quad & \\text{NPV}(D, u_{t, d})\\\\\n", - "& g(u_{t, d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", - "& h(u_{t, d}) \\le 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", - "& f(u_{t-1,d}, u_{t,d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", - "& u_{t,d} \\le D, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}\n", - "\\end{aligned}$$\n", - "\n", - "Here, the sets $\\mathcal{T} = \\{1, \\dots, 24\\}$ and $\\mathcal{C} = \\{1, \\dots, 20\\}$ denote the set of hours in a day and the set of clusters/days in a year, respectively. $D$ denotes the design decisions (or, first-stage variables) viz. size of the PEM electrolyzer (`pem_capacity`), tank (`tank_capacity`) and the turbine (`turbine_capacity`). $u_{t, d}$ denotes the operating decisions (or, second-stage decisions) at time $t$ of day/cluster $d$. $g(u_{t, d}) = 0$ and $h(u_{t,d}) \\le 0$ denote the flowsheet model, $f(u_{t-1,d}, u_{t,d}) = 0$ connects the operating decisions at time $t-1$ and at time $t$ (e.g., tank holdup), and $u_{t,d} \\le D$ ensures that the operating decision values never exceed the design capacity values (e.g., tank holdup at any time instant must not exceed the tank capacity).\n", - "\n", - "First, we create a `ConcreteModel` object, and define sets and parameters" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "driven-allah", - "metadata": {}, - "outputs": [], - "source": [ - "# Create a ConcreteModel object\n", - "m = ConcreteModel()\n", - "\n", - "# Define sets\n", - "m.set_time = RangeSet(24) # twenty fours in a day\n", - "m.set_days = RangeSet(20) # twenty clusters/days per year\n", - "m.set_years = [2022, 2032] # Set of years\n", - "\n", - "# Define parameters\n", - "m.plant_life = 20 # Plant lifetime: 20 years\n", - "m.tax_rate = 0.2 # Corporate tax rate: 20%\n", - "m.discount_rate = 0.08 # Discount rate: 8%\n", - "m.h2_price = 3 # Selling price of hydrogen: $3/kg\n", - "m.h2_demand = 1 # Maximum amount of hydrogen that can be sold: 1 kg/s\n", - "m.LMP = lmp_deterministic # LMP signal\n", - "m.stochastic = False\n", - "m.weights_days = weights_days # number of days represented by each cluster" - ] - }, - { - "cell_type": "markdown", - "id": "august-rings", - "metadata": {}, - "source": [ - "As we saw earlier, functions `build_ne_flowsheet` and `fix_dof_and_initialize` yield an initialized square model of the nuclear flowsheet. For the multi-period optimization problem, we now construct a function that can be used to unfix a few degrees of freedom for optimization. The function below\n", - "\n", - "- Unfixes the split fractions of the power splitter. The optimizer then determines the optimal split fraction of the electricity to the grid, and to the PEM electrolyzer.\n", - "- Unfixes the initial tank holdup. The initial tank holdup is governed by the final tank holdup at the previous hour.\n", - "- Unfixes the molar flow rate of hydrogen to the turbine and to the pipeline.\n", - "- Unfixes the molar flow rate of air to the turbine.\n", - "- Adds a constraint to fix the ratio of molar flow rate of air to molar flowrate of hydrogen (fuel-air ratio).\n", - "- Specifies a small non-zero bounds on a few flow variables to avoid convergence issues." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "senior-multimedia", - "metadata": {}, - "outputs": [], - "source": [ - "def unfix_dof(m, **kwargs):\n", - " \"\"\"\n", - " This function unfixes a few degrees of freedom for optimization\n", - " \"\"\"\n", - " # Set defaults in case options are not passed to the function\n", - " options = kwargs.get(\"options\", {})\n", - " air_h2_ratio = options.get(\"air_h2_ratio\", 10.76)\n", - " \n", - " # Unfix the electricity split in the electrical splitter\n", - " m.fs.np_power_split.split_fraction[\"np_to_grid\", 0].unfix()\n", - "\n", - " # Unfix the holdup_previous and outflow variables\n", - " m.fs.h2_tank.tank_holdup_previous.unfix()\n", - " m.fs.h2_tank.outlet_to_turbine.flow_mol.unfix()\n", - " m.fs.h2_tank.outlet_to_pipeline.flow_mol.unfix()\n", - "\n", - " # Unfix the flowrate of air to the mixer\n", - " m.fs.mixer.air_feed.flow_mol.unfix()\n", - "\n", - " # Add a constraint to maintain the air to hydrogen flow ratio\n", - " m.fs.mixer.air_h2_ratio = Constraint(\n", - " expr=m.fs.mixer.air_feed.flow_mol[0] ==\n", - " air_h2_ratio * m.fs.mixer.hydrogen_feed.flow_mol[0])\n", - " \n", - " # Set bounds on variables. A small non-zero value is set as the lower \n", - " # bound on molar flowrates to avoid convergence issues\n", - " m.fs.pem.outlet.flow_mol[0].setlb(0.001)\n", - "\n", - " m.fs.h2_tank.inlet.flow_mol[0].setlb(0.001)\n", - " m.fs.h2_tank.outlet_to_turbine.flow_mol[0].setlb(0.001)\n", - " m.fs.h2_tank.outlet_to_pipeline.flow_mol[0].setlb(0.001)\n", - "\n", - " m.fs.translator.inlet.flow_mol[0].setlb(0.001)\n", - " m.fs.translator.outlet.flow_mol[0].setlb(0.001)\n", - "\n", - " m.fs.mixer.hydrogen_feed.flow_mol[0].setlb(0.001)" - ] - }, - { - "cell_type": "markdown", - "id": "organized-peoples", - "metadata": {}, - "source": [ - "Next, we use the `build_multiperiod_design` function to build the constraints $g(u_{t,d}) = 0$ and $h(u_{t,d}) \\le 0$ $\\forall \\; t \\in \\mathcal{T}$ and $\\forall \\; d \\in \\mathcal{C}$. This function creates an instance of the flowsheet (using the `build_ne_flowsheet` function) for each time instance, fixes its degrees of freedom and initializes it (using the `fix_dof_and_initialize` function), and unfixes operational degrees of freedom (using the `unfix_dof` function) described above. Since we are dealing with multiple days/clusters and multiple years (2022 and 2032 LMP signals), we set the `multiple_days` and `multiyear` argument to `True` (see below. Note that the default value of these arguments is `False`). \n", - "\n", - "**Note**: The function, by default, looks for `m.set_time`, `m.set_days` and `m.set_years` objects for the set of hours, days/clusters and years, respectively. However, if the sets are created using a different set of names, then they must be passed to the function explicitly. E.g. `build_multiperiod_design(m, ..., set_time=m.set_time_object, set_days=m.set_days_object, set_years=m.set_years_object)`.\n", - "\n", - "**Tip**: Building the multiperiod model can take some time. So, set `verbose=True` to moniter the progress" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "democratic-aurora", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[ 0.00] Processing input information.\n", - "[+ 0.00] Beginning the formulation of the multiperiod problem.\n" - ] - } - ], - "source": [ - "# Build initialized multiperiod model: Constraints g(u(t,d)) = 0 and h(u(t,d)) <= 0\n", - "build_multiperiod_design(m,\n", - " flowsheet=build_ne_flowsheet,\n", - " initialization=fix_dof_and_initialize,\n", - " unfix_dof=unfix_dof,\n", - " multiple_days=True,\n", - " multiyear=True,\n", - " verbose=False)\n" - ] - }, - { - "cell_type": "markdown", - "id": "278dc2a3", - "metadata": {}, - "source": [ - "We now restructure the LMP signal so that it is compatible with TEAL cash flows. \n", - "Namely, the dictionary LMP signal is restructured to contain an entry for all project years.\n", - "For the case of the nominal pricetaker multiperiod notebook, the LMP signal provides 20 years of data. \n", - "However, to cut down computation time, only two years of variables are created: one for 2022 meant to represent and be duplicated for the rest of that decade, the other for 2032 meant to do the same for the following decade of the 20 year project life. \n", - "\n", - "This simplification is applied within the restructuring of the LMP dictionary below, ensuring that LMP values are repeated. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "98ffc68c", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Requested LMP Data less than project life\n" - ] - } - ], - "source": [ - "restructure_LMP(m)" - ] - }, - { - "cell_type": "markdown", - "id": "suited-development", - "metadata": {}, - "source": [ - "Next, we define \n", - "\n", - "- Function `build_connecting_constraints` to declare the design decisions and to build the constraints $f(u_{t-1,d}, u_{t,d}) = 0$ and $u_{t,d} \\le D$. \n", - "- Function `append_costs_and_revenue` to build expressions for all the cash flows (electricity revenue, hydrogen revenue, fixed O&M, variable O&M, depreciation, etc.)\n", - "\n", - "Observe that we assume (Line 39 in the function below) that each day begins with an empty tank (i.e., zero holdup). This is one of the limitations of working with representative days/clusters. The excess storage at the end of each day cannot be transferred to the following day. This limitation can be overcome by formulating an optimization problem for an entire year, instead of a few representative days. This, however, increases the problem size substantially.\n", - "\n", - "**Note**: It is not necessary to define the above functions for the deterministic case. Nevertheless, we do so because it will be useful for the stochastic case, as we shall see in the next section." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "optimum-closing", - "metadata": {}, - "outputs": [], - "source": [ - "def build_connecting_constraints(m, set_time, set_days, set_years):\n", - " \n", - " \"\"\"\n", - " This function declares the first-stage variables or design decisions,\n", - " adds constraints that ensure that the operational variables never exceed their\n", - " design values, and adds constraints connecting variables at t - 1 and t\n", - " \"\"\"\n", - "\n", - " # Declare first-stage variables (Design decisions)\n", - " m.pem_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Maximum capacity of the PEM electrolyzer (in kW)\")\n", - " m.tank_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Maximum holdup of the tank (in mol)\")\n", - " m.h2_turbine_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Maximum power output from the turbine (in W)\")\n", - "\n", - " # Ensure that the electricity to the PEM elctrolyzer does not exceed the PEM capacity\n", - " @m.Constraint(set_time, set_days, set_years)\n", - " def pem_capacity_constraint(blk, t, d, y):\n", - " return blk.period[t, d, y].fs.pem.electricity[0] <= m.pem_capacity\n", - "\n", - " # Ensure that the final tank holdup does not exceed the tank capacity \n", - " @m.Constraint(set_time, set_days, set_years)\n", - " def tank_capacity_constraint(blk, t, d, y):\n", - " return blk.period[t, d, y].fs.h2_tank.tank_holdup[0] <= m.tank_capacity\n", - "\n", - " # Ensure that the power generated by the turbine does not exceed the turbine capacity\n", - " @m.Constraint(set_time, set_days, set_years)\n", - " def turbine_capacity_constraint(blk, t, d, y):\n", - " return (\n", - " - blk.period[t, d, y].fs.h2_turbine.turbine.work_mechanical[0]\n", - " - blk.period[t, d, y].fs.h2_turbine.compressor.work_mechanical[0] <=\n", - " m.h2_turbine_capacity\n", - " )\n", - "\n", - " # Connect the initial tank holdup at time t with the final tank holdup at time t - 1\n", - " @m.Constraint(set_time, set_days, set_years)\n", - " def tank_holdup_constraints(blk, t, d, y):\n", - " if t == 1:\n", - " # Each day begins with an empty tank\n", - " return (\n", - " blk.period[t, d, y].fs.h2_tank.tank_holdup_previous[0] == 0\n", - " )\n", - " else:\n", - " # Initial holdup at time t = final holdup at time t - 1\n", - " return (\n", - " blk.period[t, d, y].fs.h2_tank.tank_holdup_previous[0] ==\n", - " blk.period[t - 1, d, y].fs.h2_tank.tank_holdup[0]\n", - " )" - ] - }, - { - "cell_type": "markdown", - "id": "499296f9", - "metadata": {}, - "source": [ - "Next, we initialize global Cash flow attributes within TEAL.\n", - "\n", - "This includes passing discount rates, plant life, etc. from the notebook to an object of TEAL \n", - "global parameters. \n", - "\n", - "We also build the remaining constraints and the objective function by calling `build_connecting_constraints` and `append_cost_and_revenue` functions, and solve the optimization problem." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "republican-diagnosis", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "['pem|Lifetime', 'pem|Capex', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Lifetime', 'h2tank|Capex', 'h2turbine|Lifetime', 'h2turbine|Capex', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Lifetime', 'electricity_market|Hourly', 'h2_market|Lifetime', 'h2_market|Hourly']\n" - ] - } - ], - "source": [ - "# using full plant life = 20 yrs\n", - "# LMP signal only uses 2 years... need to resolve when creating recurring cash flows\n", - "tealSettings = build_econ_settings(components,\n", - " life=m.plant_life,\n", - " dr=m.discount_rate,\n", - " tax=m.tax_rate)\n", - "# Build the connecting constraints\n", - "build_connecting_constraints(m, \n", - " set_time=m.set_time, \n", - " set_days=m.set_days,\n", - " set_years=m.set_years)\n", - "\n", - "# Hydrogen demand constraint. divide the RHS by the molecular mass to convert kg/s to mol/s\n", - "@m.Constraint(m.set_time, m.set_days, m.set_years)\n", - "def hydrogen_demand_constraint(blk, t, d, y):\n", - " return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / 2.016e-3" - ] - }, - { - "cell_type": "markdown", - "id": "d3c2b13a", - "metadata": {}, - "source": [ - "Here we iterate over all components within the components dictionary. For each component, we build a corresponding TEAL component object which holds all requested cash flows.\n", - "\n", - "Afterwards, we call on TEAL to generate a summed Pyomo expression for all requested economic metrics (e.g., NPV)." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c5844dcd", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", - " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", - " 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", - " 0. 0. 0.]\n", - "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", - " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", - " 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", - " 0. 0. 0.]\n", - "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", - " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", - " 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", - " 0. 0. 0.]\n", - "CashFlow INFO (run): Starting CashFlow Run ...\n", - "CashFlow INFO (run): ... Checking if all drivers present ...\n", - "CashFlow INFO (checkDrivers): ... creating evaluation sequence ...\n", - "CashFlow INFO (checkDrivers): ... evaluation sequence: ['pem|Cap', 'pem|pem_amortize_Cap', 'pem|pem_depreciate_Cap', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Cap', 'h2tank|h2tank_amortize_Cap', 'h2tank|h2tank_depreciate_Cap', 'h2turbine|Cap', 'h2turbine|h2turbine_amortize_Cap', 'h2turbine|h2turbine_depreciate_Cap', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Hourly', 'h2_market|Hourly']\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - 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"CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): Project Lifetime Cashflow Calculations\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): ... project length: 21 years\n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"pem\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 21\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_amortize_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_amortize_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_depreciate_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_depreciate_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"FixedOM\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Hourly\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2tank\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 21\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - 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NPV: \n" - ] - } - ], - "source": [ - "#=================================================\n", - "tealComponentList = []\n", - "for name, comp in components.items():\n", - " tealComp = build_TEAL_Component(name, comp, m)\n", - " tealComponentList.append(tealComp)\n", - "\n", - "metrics = calculate_TEAL_metrics(tealSettings, tealComponentList)\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d7355a37", - "metadata": {}, - "outputs": [], - "source": [ - "# Define the objective function\n", - "m.obj = Objective(expr=metrics['NPV'], sense=maximize)\n", - "\n", - "#=================================================\n", - "# Define the solver object. Using IPOPT\n", - "solver = get_solver()\n", - "\n", - "# Solver the optimization problem\n", - "solver.solve(m, tee=True)" - ] - }, - { - "cell_type": "markdown", - "id": "confident-neutral", - "metadata": {}, - "source": [ - "Verify that the solver converges to the optimal solution. We now print the results and answer the questions posed at the beginning of this notebook. To recall, we are interested in determining whether the following options are attractive (i.e., maximize NPV):\n", - "\n", - "- Produce hydrogen using a portion of the electricity, especially during periods of low electricity demand, and sell it.\n", - "- Produce hydrogen, store it in a tank, and combust it to produce electrity during the periods of high electricity demand." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "scientific-nudist", - "metadata": {}, - "outputs": [], - "source": [ - "def generate_plots(m, d, y, set_time, lmp):\n", - " LMP = [lmp[y][d][t] for t in set_time]\n", - " \n", - " # Power from nuclear power plant to the grid (convert it to MW)\n", - " np_to_grid = [m.period[t, d, y].fs.np_power_split.split_fraction[\"np_to_grid\", 0].value \n", - " for t in set_time]\n", - " # Hydrogen production rate in the PEM electrolyzer (convert it to kg/hr)\n", - " h2_production = [m.period[t, d, y].fs.pem.outlet.flow_mol[0].value * 2.016e-3 * 3600\n", - " for t in set_time]\n", - " # Hydrogen flowrate to pipeline (convert it to kg/hr)\n", - " h2_to_pipeline = [m.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0].value * 2.016e-3 * 3600\n", - " for t in set_time]\n", - " # Hydrogen flowrate to turbine (convert it to kg/hr)\n", - " h2_to_turbine = [m.period[t, d, y].fs.h2_tank.outlet_to_turbine.flow_mol[0].value * 2.016e-3 * 3600\n", - " for t in set_time]\n", - " \n", - " # Plot the results\n", - " plot_lmp_and_schedule(lmp=LMP,\n", - " schedule={\"power_to_grid\": np_to_grid,\n", - " \"h2_production\": h2_production,\n", - " \"h2_to_pipeline\": h2_to_pipeline,\n", - " \"h2_to_turbine\": h2_to_turbine},\n", - " y_label={\"power_to_grid\": \"Split fraction to grid [-]\",\n", - " \"h2_production\": \"Hydrogen production (kg/hr)\",\n", - " \"h2_to_pipeline\": \"Hydrogen to pipeline (kg/hr)\",\n", - " \"h2_to_turbine\": \"Hydrogen to turbine (kg/hr)\"},\n", - " y_range={\"power_to_grid\": (0.5, 1.02),\n", - " \"h2_production\": (0, 4000),\n", - " \"h2_to_pipeline\": (0, 4000),\n", - " \"h2_to_turbine\": (-0.5, 10)})" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "disabled-invitation", - "metadata": {}, - "outputs": [], - "source": [ - "import pyomo.environ as pyo\n", - "\n", - "# Print Results\n", - "print(\"Optimal PEM capacity : \", m.pem_capacity.value * 1e-3, \"MW\")\n", - "print(\"Optimal tank capacity : \", m.tank_capacity.value * 2.016e-3, \"kg\")\n", - "print(\"OPtimal turbine capacity: \", m.h2_turbine_capacity.value * 1e-6, \"MW\")\n", - "\n", - "print(\"NPV :\", pyo.value( m.obj ) * 1e-9, \"$B\")\n", - "\n", - "# Using `generate_plots` we plot optimal operating conditions for a specific day\n", - "generate_plots(m, d=1, y=2022, set_time=m.set_time, lmp=m.LMP)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "brutal-sigma", - "metadata": {}, - "outputs": [], - "source": [ - "# Using `generate_plots` we plot optimal operating conditions for a specific day\n", - "generate_plots(m, d=8, y=2022, set_time=m.set_time, lmp=m.LMP)\n" - ] - }, - { - "cell_type": "markdown", - "id": "empty-identity", - "metadata": {}, - "source": [ - "- Clearly, when the selling price of hydrogen is $3/kg, it is attractive (maximizes NPV) to produce hydrogen using a portion of electricity when its price is sufficiently low.\n", - "- However, storing hydrogen and combusting it later to produce electricity is not attractive. This is inferred from the optimal size of the hydrogen tank and the size of the turbine, respectively (both the values are zero. We see a small nonzero value because we imposed small nonzero lower bounds on flows to avoid convergence issues). \n", - "\n", - "The optimal size of the PEM electrolyzer for the production of hydrogen is 196.26 MW for a hydrogen demand of 1 kg/s. The hydrogen tank and the hydrogen turbine must not be built to maximize the NPV. The hydrogen produced by the PEM electrolyzer must be sold immediately to the hydrogen market via the pipeline." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "brilliant-prairie", - "metadata": {}, - "outputs": [], - "source": [ - "# These optimization problems tend to be very large, so we \n", - "# delete the model after analyzing the results to save memory.\n", - "del m" - ] - }, - { - "cell_type": "markdown", - "id": "civic-special", - "metadata": {}, - "source": [ - "## Multiperiod Optimization Model: Stochastic\n", - "\n", - "### LMP Signal\n", - "\n", - "As mentioned in the previous section, due to uncertainty in various factors such as weather, demand, etc., it is not possible to determine the future locational marginal price accurately. There are many approaches to take into account the uncertainty in the LMP signal during the decision making process. One such approach involves the generation of potential LMP scenarios along with their associated probabilities and use them to formulate a stochastic program.\n", - "\n", - "Here, for demonstration, we consider two different realizations of the LMP signal (i.e., two scenarios: scenario 0 and scenario 1). " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "previous-sending", - "metadata": {}, - "outputs": [], - "source": [ - "# Gather the LMP data needed for the stochastic case\n", - "# Notation: lmp_dataset[scenario][year][cluster/day][time/hour]\n", - "lmp_stochastic = {scenario: {year: {cluster: {hour: lmp_dataset[str(scenario)][str(year)][str(cluster)][str(hour)]\n", - " for hour in range(1, 25)} \n", - " for cluster in range(1, 21)}\n", - " for year in [2022]}\n", - " for scenario in [0, 1]}" - ] - }, - { - "cell_type": "markdown", - "id": "polar-bridge", - "metadata": {}, - "source": [ - "Next, we formulate an optimization problem of the form\n", - "$$ \\begin{aligned}\n", - "\\max_{D, D_s, u_{s, t, d}} \\quad & \\sum_s w_s \\text{NPV}_s(D_s, u_{s, t, d})\\\\\n", - "& g(u_{s, t, d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S} \\\\\n", - "& h(u_{s, t, d}) \\le 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S} \\\\\n", - "& f(u_{s, t-1, d}, u_{s, t, d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S} \\\\\n", - "& u_{s, t, d} \\le D_s, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S}\\\\\n", - "& D_s = D, & & \\forall\\; s \\in \\mathcal{S}\n", - "\\end{aligned}$$\n", - "\n", - "Here, the sets $\\mathcal{S} = \\{0, 1\\}$, $\\mathcal{T} = \\{1, \\dots, 24\\}$ and $\\mathcal{C} = \\{1, \\dots, 20\\}$ denote the the set of scenarios, the set of hours in a day and the set of clusters/days in a year, respectively. $D$ denotes the design decisions (or, first-stage variables) viz. size of the PEM electrolyzer (`pem_capacity`), tank (`tank_capacity`) and the turbine (`turbine_capacity`), and $D_s$ denotes the design decisions in scenario $s$. $u_{s, t, d}$ denotes the operating decisions (or, second-stage decisions) in scenario $s$, at time $t$ of day/cluster $d$. $g(u_{s, t, d}) = 0$ and $h(u_{s, t,d}) \\le 0$ denote the flowsheet model, $f(u_{s, t-1,d}, u_{s, t,d}) = 0$ connects the operating decisions at time $t-1$ and at time $t$ (e.g., tank holdup), and $u_{s, t, d} \\le D_s$ ensures that the operating decision values never exceed the design capacity values (e.g., tank holdup at any time instant must not exceed the tank capacity) in scenario $s$. Finally, $D_s = D$ ensures that the design decisions are maintained the same in all scenarios (non-anticipativity constraints).\n", - "\n", - "In the objective function, $w_s$ denotes the probability associated with scenario $s$, and $\\text{NPV}_s$ stands for the net present value calculated in scenario $s$." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "lightweight-prediction", - "metadata": {}, - "outputs": [], - "source": [ - "# Create concrete model object\n", - "m = ConcreteModel()\n", - "\n", - "# Define sets\n", - "m.set_time = RangeSet(24) # twenty fours in a day\n", - "m.set_days = RangeSet(20) # twenty clusters/days per year\n", - "m.set_years = [2022] # Set of years\n", - "m.set_scenarios = [0, 1] # Set of scenarios\n", - "\n", - "# Define parameters\n", - "m.plant_life = 20 # Plant lifetime: 20 years\n", - "m.tax_rate = 0.2 # Corporate tax rate: 20%\n", - "m.discount_rate = 0.08 # Discount rate: 8%\n", - "m.h2_price = 3 # Selling price of hydrogen: $3/kg\n", - "m.h2_demand = 1 # Maximum amount of hydrogen that can be sold: 1 kg/s\n", - "m.LMP = lmp_stochastic # LMP signal\n", - "m.stochastic = True\n", - "m.weights_days = weights_days # number of days represented by each cluster\n", - "m.weights_scenarios = {0: 0.5, 1: 0.5} # Equal probability for both the scenarios" - ] - }, - { - "cell_type": "markdown", - "id": "talented-dietary", - "metadata": {}, - "source": [ - "Next, we call the `build_multiperiod_design` function to formulate the multi-period optimization problem. However, this time, we also set `stochastic=True`. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "returning-moderator", - "metadata": {}, - "outputs": [], - "source": [ - "# Build initialized multiperiod model: Constraints g(u(t,d)) = 0 and h(u(t,d)) <= 0\n", - "build_multiperiod_design(m,\n", - " flowsheet=build_ne_flowsheet,\n", - " initialization=fix_dof_and_initialize,\n", - " unfix_dof=unfix_dof,\n", - " multiple_days=True,\n", - " multiyear=True,\n", - " stochastic=True,\n", - " verbose=False)" - ] - }, - { - "cell_type": "markdown", - "id": "divine-zimbabwe", - "metadata": {}, - "source": [ - "Next, add the connecting constraints and hydrogen demand constraints for each of the scenarios." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "elder-victoria", - "metadata": {}, - "outputs": [], - "source": [ - "tealSettings = build_econ_settings(components,\n", - " life=m.plant_life,\n", - " dr=m.discount_rate,\n", - " tax=m.tax_rate)\n", - "restructure_LMP(m)\n", - "metrics_list = []\n", - "for s in m.set_scenarios:\n", - " # Build the connecting constraints\n", - " build_connecting_constraints(m.scenario[s], \n", - " set_time=m.set_time, \n", - " set_days=m.set_days,\n", - " set_years=m.set_years)\n", - "\n", - " # Append cash flow expressions\n", - " tealComponentList = []\n", - " for name, comp in components.items():\n", - " tealComp = build_TEAL_Component(name, comp, m, m.scenario[s], s)\n", - " tealComponentList.append(tealComp)\n", - "\n", - " metrics = calculate_TEAL_metrics(tealSettings, tealComponentList)\n", - " metrics_list.append(metrics)\n", - " \n", - " # Hydrogen demand constraint. \n", - " # Divide the RHS by the molecular mass to convert kg/s to mol/s\n", - " obj = m.scenario[s]\n", - " @obj.Constraint(m.set_time, m.set_days, m.set_years)\n", - " def hydrogen_demand_constraint(blk, t, d, y):\n", - " return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / 2.016e-3" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "suburban-radar", - "metadata": {}, - "outputs": [], - "source": [ - "# Add non-anticipativity constraints\n", - "m.pem_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Design PEM capacity (in kW)\")\n", - "m.tank_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Design tank capacity (in mol)\")\n", - "m.h2_turbine_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Design turbine capacity (in W)\")\n", - "\n", - "@m.Constraint(m.set_scenarios)\n", - "def non_anticipativity_pem(blk, s):\n", - " return blk.pem_capacity == blk.scenario[s].pem_capacity\n", - "\n", - "@m.Constraint(m.set_scenarios)\n", - "def non_anticipativity_tank(blk, s):\n", - " return blk.tank_capacity == blk.scenario[s].tank_capacity\n", - "\n", - "@m.Constraint(m.set_scenarios)\n", - "def non_anticipativity_turbine(blk, s):\n", - " return blk.h2_turbine_capacity == blk.scenario[s].h2_turbine_capacity" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "liberal-riverside", - "metadata": {}, - "outputs": [], - "source": [ - "# pyomo expression for full metric wtih scenario weights applied\n", - "TEALMetric = sum( m.weights_scenarios[n] * scenario['NPV'] \n", - " for n, scenario in enumerate(metrics_list) )\n", - "\n", - "# Define the objective function\n", - "m.obj = Objective(expr=TEALMetric, sense=maximize)\n", - "\n", - "# Define the solver object. Using the default solver: IPOPT\n", - "solver = get_solver()\n", - "\n", - "# Solve the optimization problem\n", - "solver.solve(m, tee=True)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "civil-celebration", - "metadata": {}, - "outputs": [], - "source": [ - "# Print Results\n", - "print(\"Optimal PEM capacity : \", m.pem_capacity.value * 1e-3, \"MW\")\n", - "print(\"Optimal tank capacity : \", m.tank_capacity.value * 2.016e-3, \"kg\")\n", - "print(\"OPtimal turbine capacity: \", m.h2_turbine_capacity.value * 1e-6, \"MW\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "protecting-asthma", - "metadata": {}, - "outputs": [], - "source": [ - "generate_plots(m.scenario[0], d=8, y=2022, set_time=m.set_time, lmp=m.LMP[0])" - ] - }, - { - "cell_type": "markdown", - "id": "protecting-flexibility", - "metadata": {}, - "source": [ - "Even in the stochastic case, we observe the same result i.e., producing hydrogen and selling it during the periods of low electricity demand is profitable. Whereas, building a turbine to combust hydrogen and produce electricity is not attractive. " - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.7.12 ('raven_libraries')", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.12" - }, - "vscode": { - "interpreter": { - "hash": "6d0acf42cb0fb1bfbd1a977660e9dbc5c6cac802e2d2bc70e5030ba691b903ab" - } - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb new file mode 100644 index 000000000..f8bfbde1a --- /dev/null +++ b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb @@ -0,0 +1,3351 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "377a6d3a", + "metadata": {}, + "source": [ + "# Integrated Energy Systems: Nuclear Case Study using TEAL Cash Flows and RAVEN Synthetic Histories\n", + "\n", + "In this notebook, we formulate a multi-period optimization problem that determines the optimal design of an integrated energy system producing electricity and hydrogen such that its net present value (NPV) is maximized for a given market signal. We consider an **existing** nuclear power plant of 1000 MW capcity as the genator. In general, due to safety restrictions, nuclear power plants are not amenable for ramping. Therefore, we assume that the power plant always operates at its base load (i.e., 1000 MW). We are interested in determining whether the following options are attractive (i.e., maximize NPV):\n", + "\n", + "- Produce hydrogen using a portion of the electricity, especially during periods of low electricity demand, and sell it.\n", + "- Produce hydrogen, store it in a tank, and combust it to produce electrity during the periods of high electricity demand.\n", + "\n", + "Towards this, we formulate the superstructure shown in the figure below.\n", + "\n", + "![](schematic_nuclear_flowsheet.png \"Nuclear Flowsheet\")\n", + "\n", + "In the figure, arrows in red and blue denote that electricity and material, respectively, flows through them. ID denotes the name of the object containing the corresponding unit's model in the code, and DD and OD stand for design decision and operating decision, respectively. \n", + "\n", + "Here, we use a PEM (polymer electrolyte membrane) electrolyzer to produce hydrogen via water electrolysis. Current PEM technology requires ~54 kWh/kg of hydrogen (see https://www.h-tec.com/en/products/detail/h-tec-pem-electrolyser-me100-350/me100-350/ , last accessed on February 18, 2022). The produced hydrogen is stored in a tank, which can either be sold to the market via a pipeline, or combusted in a hydrogen turbine to produce electricity during the periods of high demand for electricity. Note that\n", + "\n", + "- The hydrogen tank is modeled as a simple inventory model i.e., only mass balance is enforced. The enthalpy balance is not included in the model. If needed, the `SimplifiedHydrogenTank` model in the flowsheet can be replaced with a more detailed tank model (the DISPATCHES repository has a more detailed tank model that enforces enthalpy balance as well).\n", + "- The hydrogen turbine is modeled as a compressor, a stochiometric reactor, and a turbine connected in series. \n", + "\n", + "In the flowsheet model, we use two different thermodynamic packages: one for the PEM electrolyzer and the hydrogen tank, and the other for the mixer and the hydrogen turbine. This is because, the material stream(s) to and from the former units only contain hydrogen. Whereas, the material stream(s) to and from the latter units contain nitrogen, oxygen, water and argon, in addition to hydrogen. The translator block facilitates the use of multiple thermodynamic packages by connecting properties across the packages. \n", + "\n", + "### Objective\n", + "For a given market signal, our objective is to determine the optimal design decisions,\n", + "\n", + "- Size of the PEM electrolyzer (`pem_capacity`: maximum rated capacity of the PEM electrolyzer, in MW)\n", + "- Size of the hydrogen tank (`tank_capacity`: maximum amount of hydrogen that can be stored in the tank, in kg)\n", + "- Size of the hydrogen turbine (`turbine_capacity`: maximum power the hydrogen turbine can produce, in MW)\n", + "\n", + "and the optimal operating decisions,\n", + "\n", + "- Split fraction of electricity to the pem electrolyzer (`m.fs.np_power_split.split_fraction[\"np_to_pem\", 0]`)\n", + "- Molar flowrate of hydrogen to the pipeline (`m.fs.h2_tank.outlet_to_pipeline.flow_mol[0]`)\n", + "- Molar flowrate of hydrogen to the turbine (`m.fs.h2_tank.outlet_to_turbine.flow_mol[0]`)\n", + "\n", + "which maximize the NPV.\n", + "\n", + "### RAVEN and TEAL Installation\n", + "The Tool for Economic Analysis (TEAL) Python software is a plugin for the Risk Analysis Virtual Environment (RAVEN) and developed at Idaho National Lab (INL). TEAL is aimed to contain and deploy complex economic analyses. It allows for a generic definition of cash flows, flexible options to deal with taxes, inflation, discounting, and offers capabilities to compute combined cashflows for components. It also enables the ability to compute different economic metrics: Net Present Value (NPV), Internal Rate of Return (IRR), and Profitability Index (PI). More information on TEAL can be found at https://github.com/idaholab/TEAL. \n", + "\n", + "To run TEAL, first the user must build and install the RAVEN software package on their machine. Installation instructions for Mac, Linux, and Windows can be found here: https://github.com/idaholab/raven/wiki/installationMain. This will create a Python environment with all RAVEN and TEAL dependencies installed. \n", + "\n", + "To install TEAL, follow the instructions here: https://github.com/idaholab/raven/wiki/Plugins#registration-and-installation. \n", + "\n", + "Once RAVEN and TEAL are installed, the easiest way to integrate TEAL with DISPATCHES is to pip install DISPATCHES and all dependencies within the RAVEN Python environment (there will be future work in getting RAVEN installed as its own pip install-able package). First, activate the RAVEN environment (here referred to as ``raven_libraries``) and then install DISPATCHES as follows:\n", + "\n", + "```bash\n", + " # activate existing RAVEN python environment using conda\n", + " cd raven\n", + " conda activate raven_libraries\n", + "\n", + " # load raven libraries (if on Windows and using Anaconda Prompt, run 'conda install m2-base' to get sh command)\n", + " sh ./scripts/establish_conda_env.sh --load\n", + "\n", + " # here, assuming that DISPATCHES and RAVEN are in same directory\n", + " cd ../dispatches \n", + "\n", + " # usually got an SSL certificate error, fix is to add github to trusted hosts\n", + " python -m pip install -r requirements-dev.txt --trusted-host=codeload.github.com\n", + "```\n", + "\n", + "Next, we import the required packages and functions needed for the formulation of the optimization problem." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "automated-antigua", + "metadata": {}, + "outputs": [], + "source": [ + "# General python imports\n", + "import json\n", + "\n", + "# Pyomo imports\n", + "from pyomo.environ import (ConcreteModel,\n", + " RangeSet,\n", + " Var,\n", + " NonNegativeReals,\n", + " Constraint,\n", + " Expression,\n", + " Objective,\n", + " maximize,\n", + " units as pyunits)\n", + "\n", + "# IDAES imports\n", + "from idaes.core.solvers import get_solver\n", + "from idaes.core.util.model_statistics import degrees_of_freedom\n", + "\n", + "# Nuclear flowsheet function imports\n", + "from dispatches.case_studies.nuclear_case.nuclear_flowsheet import (build_ne_flowsheet,\n", + " fix_dof_and_initialize)\n", + "\n", + "# Import function for the construction of the multiperiod model\n", + "from dispatches.case_studies.nuclear_case.multiperiod import (\n", + " build_multiperiod_design,\n", + " plot_lmp_and_schedule)\n", + "\n", + "from dispatches.case_studies.nuclear_case.TEAL_integration import (\n", + " build_econ_settings,\n", + " build_TEAL_Component,\n", + " calculate_TEAL_metrics)\n", + "\n", + "from dispatches.case_studies.nuclear_case.SynHist_integration import SynHist_integration\n", + "\n", + "import numpy as np" + ] + }, + { + "cell_type": "markdown", + "id": "centered-tamil", + "metadata": {}, + "source": [ + "## Simulation of the Flowsheet\n", + "\n", + "Before we formulate the multiperiod optimization problem, we first simulate the nuclear flowsheet and print some results. This helps the reader to familiarize themselves with the names, along with their default units, of a few important variables. The readers are encouraged to go through the `nuclear_flowsheet.py` script. It contains the function `build_ne_flowsheet` which assembles models for all the units in the flowsheet, and connects them via `Arc` objects. It also contains the function `fix_dof_and_initialize` which fixes the degrees of freedom and initializes the entire flowsheet.\n", + "\n", + "The flowsheet has four degrees of freedom viz.,\n", + "\n", + "- Split fraction of electricity to the grid in the power splitter (variable `m.fs.np_power_split.split_fraction[\"np_to_grid\", 0]` in the model). We fix this variable to 0.8.\n", + "- Molar flowrate of hydrogen to the pipeline (variable `m.fs.h2_tank.outlet_to_pipeline.flow_mol[0]`). We fix this variable to 10 mol/s.\n", + "- Molar flowrate of hydrogen to the turbine (variable `m.fs.h2_tank.outlet_to_turbine.flow_mol[0]`). We fix this variable to 10 mol/s.\n", + "- Initial holdup of hydrogen in the tank (variable `m.fs.h2_tank.tank_holdup_previous[0]`). We fix this variable to 0 mol.\n", + "\n", + "These variables are fixed in the `fix_dof_and_initialize` function. In addition to the above three variables, we also fix the variables shown in the table below. We do not refer these variables as degrees of freedom, because they remain fixed at these values in the multiperiod optimization model.\n", + "\n", + "| Name | Variable | Value |\n", + "| :- | :- | :-: |\n", + "| Pressure difference across `h2_turbine`'s compressor | `m.fs.h2_turbine.compressor.deltaP` | 24.01 bar |\n", + "| Isentropic efficiency of `h2_turbine`'s compressor | `m.fs.h2_turbine.compressor.efficiency_isentropic` | 0.86 |\n", + "| Conversion of hydrogen in `h2_turbine`'s reactor | `m.fs.h2_turbine.stoic_reactor.conversion` | 0.99 |\n", + "| Pressure deifference across `h2_turbine`'s turbine | `m.fs.h2_turbine.turbine.deltaP` | -24.01 bar |\n", + "| Isentripic efficiency of `h2_turbine`'s turbine | `m.fs.h2_turbine.turbine.efficiency_isentropic` | 0.89 |\n", + "| Molar flow rate of air to `h2_turbine` | `m.fs.mixer.air_feed.flow_mol[0]` | 10.76 * molar flowrate of hydrogen to turbine |\n", + "| Temperature of air | `m.fs.mixer.air_feed.temperature[0]` | 300 K |\n", + "| Pressure of air | `m.fs.mixer.air_feed_pressure[0]` | 1.01325 bar |\n", + "| Duration of the simulation for `h2_tank` | `m.fs.h2_tank.dt` | 3600 s |\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "annoying-myrtle", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2022-09-27 15:39:02 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-09-27 15:39:02 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:02 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:02 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-09-27 15:39:02 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:02 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-09-27 15:39:02 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:02 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:02 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-09-27 15:39:02 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:02 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:02 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:02 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-09-27 15:39:03 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:03 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-09-27 15:39:03 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:03 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:03 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:03 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-09-27 15:39:03 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:03 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-09-27 15:39:03 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:03 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-09-27 15:39:03 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:03 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:04 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-27 15:39:04 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-09-27 15:39:04 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-09-27 15:39:04 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:04 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-09-27 15:39:04 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:04 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:04 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-09-27 15:39:04 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:04 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-09-27 15:39:06 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:06 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:39:06 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-27 15:39:06 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "Degrees of freedom: 0\n", + "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", + "tol=1e-06\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.14.7, running with linear solver MUMPS 5.5.0.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 593\n", + "Number of nonzeros in inequality constraint Jacobian.: 0\n", + "Number of nonzeros in Lagrangian Hessian.............: 204\n", + "\n", + "Total number of variables............................: 215\n", + " variables with only lower bounds: 20\n", + " variables with lower and upper bounds: 180\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 215\n", + "Total number of inequality constraints...............: 0\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 0\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 0.0000000e+00 5.55e+04 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 0.0000000e+00 3.49e-08 2.36e-01 -1.0 9.80e-03 - 9.90e-01 1.00e+00h 1\n", + "\n", + "Number of Iterations....: 1\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 2.3283064365386963e-10 3.4924596548080444e-08\n", + "Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Overall NLP error.......: 2.3283064365386963e-10 3.4924596548080444e-08\n", + "\n", + "\n", + "Number of objective function evaluations = 2\n", + "Number of objective gradient evaluations = 2\n", + "Number of equality constraint evaluations = 2\n", + "Number of inequality constraint evaluations = 0\n", + "Number of equality constraint Jacobian evaluations = 2\n", + "Number of inequality constraint Jacobian evaluations = 0\n", + "Number of Lagrangian Hessian evaluations = 1\n", + "Total seconds in IPOPT = 0.010\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.13619208335876465}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Create a concrete model object\n", + "m = ConcreteModel()\n", + "\n", + "# Build the nuclear flowsheet\n", + "build_ne_flowsheet(m)\n", + "\n", + "# Fix the degrees of freedom and initialize\n", + "fix_dof_and_initialize(m)\n", + "\n", + "# Ensure that the resulting model is a square problem i.e., its degrees of freedom must be 0\n", + "print(\"Degrees of freedom: \", degrees_of_freedom(m))\n", + "assert degrees_of_freedom(m) == 0\n", + "\n", + "# Create a solver object with the default solver (IPOPT)\n", + "solver = get_solver()\n", + "\n", + "# Simulate the entire flowsheet\n", + "solver.solve(m, tee=True)" + ] + }, + { + "cell_type": "markdown", + "id": "average-replacement", + "metadata": {}, + "source": [ + "Verify that IPOPT converges to the optimal solution. Next, we print some results. Note the names of the variables and their default units (we use Pyomo's `units`, imported as `pyunits`, to obtain the units of a variable). Units are needed to correctly define the cash flow expressions later." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "animal-astronomy", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Nuclear plant power production : 1000000.0 kW\n", + "Electricity to grid : 800000.0 kW\n", + "Electricity to PEM : 199999.99999999997 kW\n", + "\n", + "Flowrate of H2 from pem : 505.4811999999999 mol/s\n", + "\n", + "Flowrate of H2 to tank : 505.4811999999999 mol/s\n", + "Flowrate of H2 to pipeline : 10 mol/s\n", + "Flowrate of H2 to turbine : 10 mol/s\n", + "Initial tank holdup : 0 mol\n", + "Tank holdup at the end of 1 hr : 1747732.3199999996 mol\n", + "H2 Turbine's compressor work : 1764604.5955977994 kg*m**2/s**3\n", + "H2 Turbine's turbine work : -2672169.126200441 kg*m**2/s**3\n", + "Net power produced by turbine : 907564.5306026414 kg*m**2/s**3\n" + ] + } + ], + "source": [ + "def get_units(obj):\n", + " return str(pyunits.get_units(obj))\n", + "\n", + "# Print results: power splitter\n", + "print(\"Nuclear plant power production : \", m.fs.np_power_split.electricity[0].value,\n", + " get_units(m.fs.np_power_split.electricity[0]))\n", + "print(\"Electricity to grid : \", m.fs.np_power_split.np_to_grid_port.electricity[0].value,\n", + " get_units(m.fs.np_power_split.np_to_grid_port.electricity[0]))\n", + "print(\"Electricity to PEM : \", m.fs.np_power_split.np_to_pem_port.electricity[0].value,\n", + " get_units(m.fs.np_power_split.np_to_pem_port.electricity[0]))\n", + "print()\n", + "\n", + "# Print results: PEM electrolyzer\n", + "print(\"Flowrate of H2 from pem : \", m.fs.pem.outlet.flow_mol[0].value,\n", + " get_units(m.fs.pem.outlet.flow_mol[0]))\n", + "print()\n", + "\n", + "# Print results: Hydrogen tank\n", + "print(\"Flowrate of H2 to tank : \", m.fs.h2_tank.inlet.flow_mol[0].value,\n", + " get_units(m.fs.h2_tank.inlet.flow_mol[0]))\n", + "print(\"Flowrate of H2 to pipeline : \", m.fs.h2_tank.outlet_to_pipeline.flow_mol[0].value,\n", + " get_units(m.fs.h2_tank.outlet_to_pipeline.flow_mol[0]))\n", + "print(\"Flowrate of H2 to turbine : \", m.fs.h2_tank.outlet_to_turbine.flow_mol[0].value,\n", + " get_units(m.fs.h2_tank.outlet_to_turbine.flow_mol[0]))\n", + "print(\"Initial tank holdup : \", m.fs.h2_tank.tank_holdup_previous[0].value,\n", + " get_units(m.fs.h2_tank.tank_holdup_previous[0]))\n", + "print(\"Tank holdup at the end of 1 hr : \", m.fs.h2_tank.tank_holdup[0].value,\n", + " get_units(m.fs.h2_tank.tank_holdup[0]))\n", + "\n", + "# Print results: Hydrogen Turbine\n", + "print(\"H2 Turbine's compressor work : \", m.fs.h2_turbine.compressor.work_mechanical[0].value,\n", + " get_units(m.fs.h2_turbine.compressor.work_mechanical[0]))\n", + "print(\"H2 Turbine's turbine work : \", m.fs.h2_turbine.turbine.work_mechanical[0].value,\n", + " get_units(m.fs.h2_turbine.turbine.work_mechanical[0]))\n", + "print(\"Net power produced by turbine : \", (- m.fs.h2_turbine.turbine.work_mechanical[0].value\n", + " - m.fs.h2_turbine.compressor.work_mechanical[0].value),\n", + " get_units(m.fs.h2_turbine.compressor.work_mechanical[0]))" + ] + }, + { + "cell_type": "markdown", + "id": "accessory-paris", + "metadata": {}, + "source": [ + "Observe that the power variables in the power splitter model and the PEM electrolyzer model use kW. Whereas, the power variables (mechanical work) use in the hydrogen turbine model use W. This complete the simulation of the flowsheet. Before proceeding further, we delete the object `m` to avoid confusion" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "guilty-appliance", + "metadata": {}, + "outputs": [], + "source": [ + "# Delete the object containing the flowsheet\n", + "del m" + ] + }, + { + "cell_type": "markdown", + "id": "210c5afa", + "metadata": {}, + "source": [ + "## Cash Flow Values\n", + "\n", + "We use the numbers in the table below for constructing the cash flow expressions.\n", + "\n", + "| Unit | CAPEX | Fixed O&M | Variable O&M |\n", + "| :- | :-: | :-: | :-: |\n", + "| PEM Electrolyzer | \\$1630 /kW | \\$47.9 /kW | \\$1.3 /MWh |\n", + "| Hydrogen tank | \\$29 /kWh | 0 | 0 |\n", + "| Hydrogen turbine | \\$947 /kW | \\$7 /kW | \\$4.25 /Mwh|\n", + "\n", + "We refer the reader to the Simulation of the Flowsheet section for the default units of the decision variables. We convert the cost numbers so that the units are consistent with that of the variable." + ] + }, + { + "cell_type": "markdown", + "id": "221c93c1", + "metadata": {}, + "source": [ + "## Define TEAL Component Cash Flows\n", + "\n", + "We now add a template dictionary with all the Nuclear Case components. \n", + "Each plant component has nested dictionaries for each desired TEAL cash flow. \n", + "Note that all cash flows are defined as:\n", + " $$C_y = m \\alpha_y \\bigg(\\frac{D_y}{D^{\\prime}}\\bigg)^X$$\n", + "The cash flow $C_y$ is indexed by year, but hourly indeces can also be created and summed per year. Other parameters include $\\alpha$, the reference price, $D_y$ the driver for the cash flow (e.g., number of units sold, hours of electricity produced, etc.), $D^{\\prime}$ the reference driver corresponding to $\\alpha$ (optional), $X$ the scaling factor, and $m$ an extra multiplier.\n", + "\n", + "\n", + "The cash flow dictionaries below must have:\n", + "1. an **Expression**: a list of strings of the Pyomo variable name used as the cash flow driver ($D_y$)\n", + "2. a **Value**: the cost per unit ($\\alpha$)\n", + "3. a **Multiplier**: an extra multiplier to distinguish between +/- cash flows ($m$)\n", + "\n", + "Each component must also have a Lifetime but all currently set to be the same. The TEAL-DISPATCHES integration currently does not support scaling factors. \n", + "**NOTE**: All expressions currently correspond to " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "e7fcb9cb", + "metadata": {}, + "outputs": [], + "source": [ + "components={\n", + " # Electrolyzer: negative Cash flows\n", + " \"pem\":{ \n", + " \"Lifetime\": 20,\n", + " \"Capex\":{\n", + " \"Expressions\": ['pem_capacity'],\n", + " \"Value\": 1630, # $/kW\n", + " \"Multiplier\": [-1],\n", + " \"Amortization\":15,\n", + " },\n", + " \"FixedOM\":{\n", + " \"Expressions\": ['pem_capacity'],\n", + " \"Value\": 47.9, # $/kW\n", + " \"Multiplier\": [-1],\n", + " },\n", + " \"Hourly\":{\n", + " \"Expressions\": ['fs.pem.electricity'],\n", + " \"Value\": 1.3e-3, # $/MWh -> $/kWh\n", + " \"Multiplier\": [-1],\n", + " },\n", + " },\n", + " # Hydrogen Tank: negative Cash flows\n", + " \"h2tank\":{\n", + " \"Lifetime\": 20,\n", + " \"Capex\":{\n", + " \"Expressions\": ['tank_capacity'],\n", + " \"Value\": 1.946851199, # $29/kWh * 33.3 kWh/kg * 2.016e-3 kg/mol\n", + " \"Multiplier\": [-1],\n", + " \"Amortization\":15,\n", + " },\n", + " },\n", + " # Hydrogen Turbine: negative Cash flows\n", + " \"h2turbine\":{ \n", + " \"Lifetime\": 20,\n", + " \"Capex\":{\n", + " \"Expressions\": ['h2_turbine_capacity'],\n", + " \"Value\": 0.947, # $/kW -> $/W\n", + " \"Multiplier\": [-1],\n", + " \"Amortization\":15,\n", + " },\n", + " \"FixedOM\":{\n", + " \"Expressions\": ['h2_turbine_capacity'],\n", + " \"Value\": 0.007, # $/kW -> $/W\n", + " \"Multiplier\": [-1],\n", + " },\n", + " \"Hourly\":{\n", + " \"Expressions\": ['fs.h2_turbine.turbine.work_mechanical',\n", + " 'fs.h2_turbine.compressor.work_mechanical'],\n", + " \"Value\": 4.25e-6, # $/MWh -> $/Wh\n", + " \"Multiplier\": [1, 1], # these values come out with correct sign in expression\n", + " },\n", + " },\n", + " # Electricity Market: positive Cash flows\n", + " \"electricity_market\":{\n", + " \"Lifetime\": 20,\n", + " \"Hourly\":{\n", + " \"Expressions\": ['fs.np_power_split.np_to_grid_port.electricity',\n", + " 'fs.h2_turbine.turbine.work_mechanical',\n", + " 'fs.h2_turbine.compressor.work_mechanical'],\n", + " \"Value\": [], # this is LMP in $/MWh, should be path str to ROM\n", + " \"Multiplier\": [1e-3, -1e-6, -1e-6], # converting to $/kWh and $/Wh\n", + " },\n", + " },\n", + " # Hydrogen Market: positive Cash flows\n", + " \"h2_market\":{\n", + " \"Lifetime\": 20,\n", + " \"Hourly\":{\n", + " \"Expressions\": ['fs.h2_tank.outlet_to_pipeline.flow_mol'], # this is in mol/s\n", + " \"Value\": 6.0, # this is $/kg, NOTE: this is increased from previous $3/kg\n", + " \"Multiplier\": [7.2576] # convert from $/kg -> $/mol and also converting mol/s to mol/hr\n", + " },\n", + " },\n", + "}" + ] + }, + { + "cell_type": "markdown", + "id": "alert-packing", + "metadata": {}, + "source": [ + "## Multiperiod Optimization Model: Deterministic\n", + "\n", + "### LMP Signal\n", + "Our objective is to determine the optimal size of the PEM, tank and turbine maximizing the NPV for a given 'market signal'. Throughout the notebook, by market signal or price signal, we refer to the locational marginal price (LMP) (selling price of electricity, in $/MWh) as a function of time. The LMP depends on several factors such as weather, demand, generator mix of the grid, and so forth. Owing to the uncertain nature of some those factors, it is not possible to predict the exact value of the LMP way into the future. Nevertheless, in this section, we **assume that the LMP signal is accurate** (i.e., there is no uncertainty in the price). Later, we show how the same framework/workflow can be used to easily formulate a stochastic program to handle the uncertainty in the price signal. \n", + "\n", + "### Sampling from a Trained ARMA Model\n", + "In previous notebooks, LMP data was taken from a file called `lmp_signal.json`. That dataset was generated using the FORCE toolset provided by Idaho National Lab. In particular, RAVEN (https://github.com/idaholab/raven) was used to train an auto-regressive moving average (ARMA) model based on price data from 2019/2020 New York Independent System Operator (NYISO). The JSON file contained several sampled scenarios (or synthetic histories) generated from that ARMA model.\n", + "\n", + "Here, we allow the user to sample from any trained ARMA model from RAVEN. An ARMA model is provided as an example in the ```\\ARMA_Model``` subdirectory, please note that this model is meant for demonstration only (no meaningful conclusions should be made from simulation results). \n", + "RAVEN divides the 365 days of a year into a specified number of clusters (20, in our case), and generates the LMP signal for each cluster (Note that the LMP signal is the same for all the days of a cluster). The figure below plots the LMP signal for cluster 1 (left) and cluster 8.\n", + "\n", + "![](sample_lmp_plots.png)\n", + "\n", + "As evident from the figure, the price can vary significantly in a day, and from cluster to cluster. Given the variation, we are interested in determining if producing hydrogen, especially during the periods when LMP is low, is attractive or not. \n", + "\n", + "Also note that ARMA models occasionally go through minor structural changes; be sure to update RAVEN and retrain the ARMA model when such changes are implemented. Details and workshop examples on how to train an ARMA model can be found at: https://github.com/idaholab/raven/tree/devel/doc/workshop/ARMA. \n", + "\n", + "\n", + "### Years Used in Demonstration\n", + "Previously, we did not use the entire dataset in `lmp_signal.json`. Instead, we used the LMP signal only for the years 2022 and 2032. We assume that the plant lifetime is twenty years. We used the 2022 LMP signal for the first ten years (i.e., 2022 - 2031), and the 2032 LMP signal for the next ten years (i.e., 2032 - 2041).\n", + "\n", + "Now, we use the plant lifetime and a starting year (based on available years within the ARMA model) to extract synthetic LMP histories for all corresponding years. E.g., for starting year 2020 and plant lifetime of 20 years, we generate histories for 2020 - 2040. Please note that computation time will increase with requested number of years. " + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "0ada016c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading plugin \"ExamplePlugin\" at C:\\Users\\sotogj\\projects\\raven\\plugins\\ExamplePlugin\n", + " ... successfully imported \"ExamplePlugin\" ...\n", + "Loading plugin \"HERON\" at C:\\Users\\sotogj\\projects\\HERON\n", + " ... successfully imported \"HERON\" ...\n", + "Loading plugin \"TEAL\" at C:\\Users\\sotogj\\projects\\TEAL\n", + " ... successfully imported \"TEAL\" ...\n", + "InputData: Using param spec \"pickledROM\" to read XML node \"ROM.\n", + "(85762.80 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", + "(85762.80 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", + "(85763.17 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", + "(85763.19 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", + "(85763.20 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", + "(85763.22 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", + "(85763.23 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", + "(85763.25 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", + "(85763.27 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", + "(85763.28 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", + "(85763.30 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", + "(85763.31 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", + "(85763.33 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", + "(85763.35 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", + "(85763.36 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", + "(85763.38 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", + "(85763.39 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", + "(85763.41 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", + "(85763.43 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", + "(85763.44 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", + "(85763.46 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", + "(85763.47 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", + "(85763.49 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", + "(85763.51 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", + "(85763.53 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", + "(85763.54 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", + "(85763.56 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", + "(85763.58 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", + "(85763.60 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n" + ] + } + ], + "source": [ + "# Define Time sets\n", + "plant_life = 5\n", + "startYear = 2020\n", + "set_years = range(startYear, startYear + plant_life) # Set of years\n", + "\n", + "# location of trained ARMA model file\n", + "targetFile = \"C:/Users/sotogj/projects/dispatches/dispatches/case_studies/nuclear_case/ARMA_Model/arma.pk\"\n", + "synHistIntegration = SynHist_integration(targetFile) # this object used to generate histories\n", + "\n", + "# generate single synthetic history / sampled scenario\n", + "synHistDict = synHistIntegration.generateSyntheticHistory(\"price\", set_years)" + ] + }, + { + "cell_type": "markdown", + "id": "boxed-pattern", + "metadata": {}, + "source": [ + "Now, we formulate the multi-period price-taker problem to determine the optimal design and operating decisions maximizing the NPV. The optimization problem is of the form\n", + "$$ \\begin{aligned}\n", + "\\max_{D, u_{t, d}} \\quad & \\text{NPV}(D, u_{t, d})\\\\\n", + "& g(u_{t, d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", + "& h(u_{t, d}) \\le 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", + "& f(u_{t-1,d}, u_{t,d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", + "& u_{t,d} \\le D, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}\n", + "\\end{aligned}$$\n", + "\n", + "Here, the sets $\\mathcal{T} = \\{1, \\dots, 24\\}$ and $\\mathcal{C} = \\{1, \\dots, 20\\}$ denote the set of hours in a day and the set of clusters/days in a year, respectively. $D$ denotes the design decisions (or, first-stage variables) viz. size of the PEM electrolyzer (`pem_capacity`), tank (`tank_capacity`) and the turbine (`turbine_capacity`). $u_{t, d}$ denotes the operating decisions (or, second-stage decisions) at time $t$ of day/cluster $d$. $g(u_{t, d}) = 0$ and $h(u_{t,d}) \\le 0$ denote the flowsheet model, $f(u_{t-1,d}, u_{t,d}) = 0$ connects the operating decisions at time $t-1$ and at time $t$ (e.g., tank holdup), and $u_{t,d} \\le D$ ensures that the operating decision values never exceed the design capacity values (e.g., tank holdup at any time instant must not exceed the tank capacity).\n", + "\n", + "First, we create a `ConcreteModel` object, and define sets and parameters" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "driven-allah", + "metadata": {}, + "outputs": [], + "source": [ + "# Create a ConcreteModel object\n", + "m = ConcreteModel()\n", + "\n", + "# Define parameters\n", + "m.plant_life = plant_life # Plant lifetime: 20 years\n", + "m.tax_rate = 0.2 # Corporate tax rate: 20%\n", + "m.discount_rate = 0.08 # Discount rate: 8%\n", + "m.h2_demand = 1 # Maximum amount of hydrogen that can be sold: 1 kg/s\n", + "m.stochastic = False\n", + "\n", + "m.LMP = synHistDict['LMP']\n", + "m.weights_days = synHistDict['weights_days']\n", + "\n", + "# Define sets\n", + "m.set_years = set_years # Set of years\n", + "m.set_days = list(m.LMP[set_years[0]].keys()) # e.g., twenty clusters/days per year\n", + "m.set_time = list(m.LMP[set_years[0]][m.set_days[0]].keys()) # e.g., twenty fours in a day\n" + ] + }, + { + "cell_type": "markdown", + "id": "august-rings", + "metadata": {}, + "source": [ + "As we saw earlier, functions `build_ne_flowsheet` and `fix_dof_and_initialize` yield an initialized square model of the nuclear flowsheet. For the multi-period optimization problem, we now construct a function that can be used to unfix a few degrees of freedom for optimization. The function below\n", + "\n", + "- Unfixes the split fractions of the power splitter. The optimizer then determines the optimal split fraction of the electricity to the grid, and to the PEM electrolyzer.\n", + "- Unfixes the initial tank holdup. The initial tank holdup is governed by the final tank holdup at the previous hour.\n", + "- Unfixes the molar flow rate of hydrogen to the turbine and to the pipeline.\n", + "- Unfixes the molar flow rate of air to the turbine.\n", + "- Adds a constraint to fix the ratio of molar flow rate of air to molar flowrate of hydrogen (fuel-air ratio).\n", + "- Specifies a small non-zero bounds on a few flow variables to avoid convergence issues." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "senior-multimedia", + "metadata": {}, + "outputs": [], + "source": [ + "def unfix_dof(m, **kwargs):\n", + " \"\"\"\n", + " This function unfixes a few degrees of freedom for optimization\n", + " \"\"\"\n", + " # Set defaults in case options are not passed to the function\n", + " options = kwargs.get(\"options\", {})\n", + " air_h2_ratio = options.get(\"air_h2_ratio\", 10.76)\n", + " \n", + " # Unfix the electricity split in the electrical splitter\n", + " m.fs.np_power_split.split_fraction[\"np_to_grid\", 0].unfix()\n", + "\n", + " # Unfix the holdup_previous and outflow variables\n", + " m.fs.h2_tank.tank_holdup_previous.unfix()\n", + " m.fs.h2_tank.outlet_to_turbine.flow_mol.unfix()\n", + " m.fs.h2_tank.outlet_to_pipeline.flow_mol.unfix()\n", + "\n", + " # Unfix the flowrate of air to the mixer\n", + " m.fs.mixer.air_feed.flow_mol.unfix()\n", + "\n", + " # Add a constraint to maintain the air to hydrogen flow ratio\n", + " m.fs.mixer.air_h2_ratio = Constraint(\n", + " expr=m.fs.mixer.air_feed.flow_mol[0] ==\n", + " air_h2_ratio * m.fs.mixer.hydrogen_feed.flow_mol[0])\n", + " \n", + " # Set bounds on variables. A small non-zero value is set as the lower \n", + " # bound on molar flowrates to avoid convergence issues\n", + " m.fs.pem.outlet.flow_mol[0].setlb(0.001)\n", + "\n", + " m.fs.h2_tank.inlet.flow_mol[0].setlb(0.001)\n", + " m.fs.h2_tank.outlet_to_turbine.flow_mol[0].setlb(0.001)\n", + " m.fs.h2_tank.outlet_to_pipeline.flow_mol[0].setlb(0.001)\n", + "\n", + " m.fs.translator.inlet.flow_mol[0].setlb(0.001)\n", + " m.fs.translator.outlet.flow_mol[0].setlb(0.001)\n", + "\n", + " m.fs.mixer.hydrogen_feed.flow_mol[0].setlb(0.001)" + ] + }, + { + "cell_type": "markdown", + "id": "organized-peoples", + "metadata": {}, + "source": [ + "Next, we use the `build_multiperiod_design` function to build the constraints $g(u_{t,d}) = 0$ and $h(u_{t,d}) \\le 0$ $\\forall \\; t \\in \\mathcal{T}$ and $\\forall \\; d \\in \\mathcal{C}$. This function creates an instance of the flowsheet (using the `build_ne_flowsheet` function) for each time instance, fixes its degrees of freedom and initializes it (using the `fix_dof_and_initialize` function), and unfixes operational degrees of freedom (using the `unfix_dof` function) described above. Since we are dealing with multiple days/clusters and multiple years (2022 and 2032 LMP signals), we set the `multiple_days` and `multiyear` argument to `True` (see below. Note that the default value of these arguments is `False`). \n", + "\n", + "**Note**: The function, by default, looks for `m.set_time`, `m.set_days` and `m.set_years` objects for the set of hours, days/clusters and years, respectively. However, if the sets are created using a different set of names, then they must be passed to the function explicitly. E.g. `build_multiperiod_design(m, ..., set_time=m.set_time_object, set_days=m.set_days_object, set_years=m.set_years_object)`.\n", + "\n", + "**Tip**: Building the multiperiod model can take some time. So, set `verbose=True` to moniter the progress" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "democratic-aurora", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ 0.00] Processing input information.\n", + "[+ 0.00] Beginning the formulation of the multiperiod problem.\n", + "[+ 480.23] Completed the formulation of the multiperiod problem\n", + "2022-09-27 15:47:10 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-09-27 15:47:10 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:10 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:10 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-09-27 15:47:11 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:11 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-09-27 15:47:11 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:11 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:11 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-09-27 15:47:11 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:11 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:11 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:11 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-09-27 15:47:11 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:11 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-09-27 15:47:11 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:11 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:12 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:12 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-09-27 15:47:12 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:12 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-09-27 15:47:12 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:12 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-09-27 15:47:12 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:12 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:12 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-27 15:47:12 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-09-27 15:47:12 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-09-27 15:47:12 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:12 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-09-27 15:47:13 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:13 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:13 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-09-27 15:47:13 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:13 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:13 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-27 15:47:13 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-09-27 15:47:13 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:13 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-09-27 15:47:13 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:13 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-09-27 15:47:14 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-27 15:47:14 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-09-27 15:47:14 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:14 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-09-27 15:47:14 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:14 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:14 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-09-27 15:47:14 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:14 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 15:47:14 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-27 15:47:14 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "[+ 4.81] Created an instance of the flowsheet and initialized it.\n", + "[+ 49.10] Initialized the entire multiperiod optimization model.\n", + "[+ 1.02] Unfixed the degrees of freedom from each period model.\n" + ] + } + ], + "source": [ + "# Build initialized multiperiod model: Constraints g(u(t,d)) = 0 and h(u(t,d)) <= 0\n", + "build_multiperiod_design(m,\n", + " flowsheet=build_ne_flowsheet,\n", + " initialization=fix_dof_and_initialize,\n", + " unfix_dof=unfix_dof,\n", + " multiple_days=True,\n", + " multiyear=True,\n", + " verbose=False)\n" + ] + }, + { + "cell_type": "markdown", + "id": "suited-development", + "metadata": {}, + "source": [ + "Next, we define \n", + "\n", + "- Function `build_connecting_constraints` to declare the design decisions and to build the constraints $f(u_{t-1,d}, u_{t,d}) = 0$ and $u_{t,d} \\le D$. \n", + "- Function `append_costs_and_revenue` to build expressions for all the cash flows (electricity revenue, hydrogen revenue, fixed O&M, variable O&M, depreciation, etc.)\n", + "\n", + "Observe that we assume (Line 39 in the function below) that each day begins with an empty tank (i.e., zero holdup). This is one of the limitations of working with representative days/clusters. The excess storage at the end of each day cannot be transferred to the following day. This limitation can be overcome by formulating an optimization problem for an entire year, instead of a few representative days. This, however, increases the problem size substantially.\n", + "\n", + "**Note**: It is not necessary to define the above functions for the deterministic case. Nevertheless, we do so because it will be useful for the stochastic case, as we shall see in the next section." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "optimum-closing", + "metadata": {}, + "outputs": [], + "source": [ + "def build_connecting_constraints(m, set_time, set_days, set_years):\n", + " \"\"\"\n", + " This function declares the first-stage variables or design decisions,\n", + " adds constraints that ensure that the operational variables never exceed their\n", + " design values, and adds constraints connecting variables at t - 1 and t\n", + " \"\"\"\n", + "\n", + " # Declare first-stage variables (Design decisions)\n", + " m.pem_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Maximum capacity of the PEM electrolyzer (in kW)\")\n", + " m.tank_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Maximum holdup of the tank (in mol)\")\n", + " m.h2_turbine_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Maximum power output from the turbine (in W)\")\n", + "\n", + " # Ensure that the electricity to the PEM elctrolyzer does not exceed the PEM capacity\n", + " @m.Constraint(set_time, set_days, set_years)\n", + " def pem_capacity_constraint(blk, t, d, y):\n", + " return blk.period[t, d, y].fs.pem.electricity[0] <= m.pem_capacity\n", + "\n", + " # Ensure that the final tank holdup does not exceed the tank capacity \n", + " @m.Constraint(set_time, set_days, set_years)\n", + " def tank_capacity_constraint(blk, t, d, y):\n", + " return blk.period[t, d, y].fs.h2_tank.tank_holdup[0] <= m.tank_capacity\n", + "\n", + " # Ensure that the power generated by the turbine does not exceed the turbine capacity\n", + " @m.Constraint(set_time, set_days, set_years)\n", + " def turbine_capacity_constraint(blk, t, d, y):\n", + " return (\n", + " - blk.period[t, d, y].fs.h2_turbine.turbine.work_mechanical[0]\n", + " - blk.period[t, d, y].fs.h2_turbine.compressor.work_mechanical[0] <=\n", + " m.h2_turbine_capacity\n", + " )\n", + "\n", + " # Connect the initial tank holdup at time t with the final tank holdup at time t - 1\n", + " @m.Constraint(set_time, set_days, set_years)\n", + " def tank_holdup_constraints(blk, t, d, y):\n", + " if t == 1:\n", + " # Each day begins with an empty tank\n", + " return (\n", + " blk.period[t, d, y].fs.h2_tank.tank_holdup_previous[0] == 0\n", + " )\n", + " else:\n", + " # Initial holdup at time t = final holdup at time t - 1\n", + " return (\n", + " blk.period[t, d, y].fs.h2_tank.tank_holdup_previous[0] ==\n", + " blk.period[t - 1, d, y].fs.h2_tank.tank_holdup[0]\n", + " )" + ] + }, + { + "cell_type": "markdown", + "id": "499296f9", + "metadata": {}, + "source": [ + "Next, we initialize global Cash flow attributes within TEAL.\n", + "\n", + "This includes passing discount rates, plant life, etc. from the notebook to an object of TEAL \n", + "global parameters. \n", + "\n", + "We also build the remaining constraints and the objective function by calling `build_connecting_constraints` and `append_cost_and_revenue` functions, and solve the optimization problem." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "republican-diagnosis", + "metadata": {}, + "outputs": [], + "source": [ + "# using full plant life = 20 yrs\n", + "# LMP signal only uses 2 years... need to resolve when creating recurring cash flows\n", + "tealSettings = build_econ_settings(components,\n", + " life=m.plant_life,\n", + " dr=m.discount_rate,\n", + " tax=m.tax_rate,\n", + " metrics=['NPV'])\n", + "# Build the connecting constraints\n", + "build_connecting_constraints(m, \n", + " set_time=m.set_time, \n", + " set_days=m.set_days,\n", + " set_years=m.set_years)\n", + "\n", + "# Hydrogen demand constraint. divide the RHS by the molecular mass to convert kg/s to mol/s\n", + "@m.Constraint(m.set_time, m.set_days, m.set_years)\n", + "def hydrogen_demand_constraint(blk, t, d, y):\n", + " return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / 2.016e-3" + ] + }, + { + "cell_type": "markdown", + "id": "d3c2b13a", + "metadata": {}, + "source": [ + "Here we iterate over all components within the components dictionary. For each component, we build a corresponding TEAL component object which holds all requested cash flows.\n", + "\n", + "Afterwards, we call on TEAL to generate a summed Pyomo expression for all requested economic metrics (e.g., NPV)." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "c5844dcd", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Proposed amortization schedule cannot be longer than intended project life.\n", + "Returning a shortened schedule: 3 yrs\n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [ 0. 0.3333 0.4445 0.1481 0.0741 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0.]\n", + "Proposed amortization schedule cannot be longer than intended project life.\n", + "Returning a shortened schedule: 3 yrs\n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [ 0. 0.3333 0.4445 0.1481 0.0741 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0.]\n", + "Proposed amortization schedule cannot be longer than intended project life.\n", + "Returning a shortened schedule: 3 yrs\n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [ 0. 0.3333 0.4445 0.1481 0.0741 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0.]\n", + "CashFlow INFO (run): Starting CashFlow Run ...\n", + "CashFlow INFO (run): ... Checking if all drivers present ...\n", + "CashFlow INFO (checkDrivers): ... creating evaluation sequence ...\n", + "CashFlow INFO (checkDrivers): ... evaluation sequence: ['pem|Cap', 'pem|pem_amortize_Cap', 'pem|pem_depreciate_Cap', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Cap', 'h2tank|h2tank_amortize_Cap', 'h2tank|h2tank_depreciate_Cap', 'h2turbine|Cap', 'h2turbine|h2turbine_amortize_Cap', 'h2turbine|h2turbine_depreciate_Cap', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Hourly', 'h2_market|Hourly']\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Project Lifetime Cashflow Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): ... project length: 6 years\n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"pem\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 6\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_depreciate_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"FixedOM\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2tank\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 6\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_depreciate_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2turbine\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 6\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2turbine_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2turbine_depreciate_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"FixedOM\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"electricity_market\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 6\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"electricity_market\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2_market\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 6\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2_market\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Economic Indicator Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (FCFF): FCFF yearly (not discounted):\n", + "CashFlow INFO (FCFF): year, FCFF\n", + "CashFlow INFO (FCFF): 0: \n", + "CashFlow INFO (FCFF): 1: \n", + "CashFlow INFO (FCFF): 2: \n", + "CashFlow INFO (FCFF): 3: \n", + "CashFlow INFO (FCFF): 4: \n", + "CashFlow INFO (FCFF): 5: \n", + "CashFlow INFO (NPV): ... NPV: \n" + ] + } + ], + "source": [ + "#=================================================\n", + "tealComponentList = []\n", + "for name, comp in components.items():\n", + " tealComp = build_TEAL_Component(name, comp, m)\n", + " tealComponentList.append(tealComp)\n", + "\n", + "metrics = calculate_TEAL_metrics(tealSettings, tealComponentList)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "d7355a37", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", + "tol=1e-06\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.14.7, running with linear solver MUMPS 5.5.0.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 1451900\n", + "Number of nonzeros in inequality constraint Jacobian.: 19200\n", + "Number of nonzeros in Lagrangian Hessian.............: 489600\n", + "\n", + "Total number of variables............................: 528003\n", + " variables with only lower bounds: 50403\n", + " variables with lower and upper bounds: 441600\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 520800\n", + "Total number of inequality constraints...............: 9600\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 9600\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -1.1545817e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -1.4047409e+09 1.92e+05 2.09e+04 -1.0 2.80e+06 - 3.25e-04 8.95e-01f 1\n", + " 2 -1.4358080e+09 7.50e+03 1.24e+04 -1.0 4.90e+05 - 4.57e-03 9.90e-01f 1\n", + " 3 -1.4361604e+09 1.97e+02 8.13e+03 -1.0 9.59e+03 - 1.16e-01 9.73e-01h 1\n", + " 4 -1.4361617e+09 1.29e+02 1.26e+04 -1.0 1.46e+03 - 3.53e-02 3.48e-01f 1\n", + " 5 -1.4361704e+09 1.29e+01 3.10e+03 -1.0 4.80e+02 - 4.16e-01 9.90e-01h 1\n", + " 6 -1.4361726e+09 2.81e+00 2.82e+05 -1.0 5.86e+01 - 1.62e-01 1.00e+00f 1\n", + " 7 -1.4362302e+09 2.00e+00 9.91e+06 -1.0 3.55e+03 - 2.96e-03 1.00e+00f 1\n", + " 8 -1.4362733e+09 8.30e-02 8.36e+06 -1.0 4.40e+03 - 1.56e-01 5.91e-01f 1\n", + " 9 -1.4363397e+09 1.78e-02 8.24e+06 -1.0 8.04e+03 - 1.48e-02 6.33e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -1.4363781e+09 2.68e-03 7.32e+06 -1.0 2.12e+03 - 1.11e-01 6.59e-01f 1\n", + " 11 -1.4364783e+09 1.28e-03 6.54e+06 -1.0 6.49e+03 - 1.07e-01 6.00e-01f 1\n", + " 12 -1.4365881e+09 6.15e-04 5.75e+06 -1.0 6.27e+03 - 1.20e-01 5.87e-01f 1\n", + " 13 -1.4367435e+09 2.87e-04 5.15e+06 -1.0 6.52e+03 - 1.04e-01 6.01e-01f 1\n", + " 14 -1.4369809e+09 1.13e-04 4.52e+06 -1.0 5.93e+03 - 1.22e-01 6.91e-01f 1\n", + " 15 -1.4371704e+09 6.22e-05 3.94e+06 -1.0 5.81e+03 - 1.28e-01 4.84e-01f 1\n", + " 16 -1.4373663e+09 3.79e-05 3.49e+06 -1.0 6.06e+03 - 1.16e-01 4.19e-01f 1\n", + " 17 -1.4374832e+09 3.03e-05 3.10e+06 -1.0 6.17e+03 - 1.12e-01 2.08e-01f 1\n", + " 18 -1.4376963e+09 2.09e-05 2.82e+06 -1.0 6.65e+03 - 8.89e-02 3.31e-01f 1\n", + " 19 -1.4379525e+09 1.24e-05 2.53e+06 -1.0 6.24e+03 - 1.02e-01 4.44e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 -1.4380490e+09 2.89e-02 2.25e+06 -1.0 6.25e+03 - 1.12e-01 2.02e-01f 1\n", + " 21 -1.4382436e+09 8.93e-03 2.06e+06 -1.0 6.98e+03 - 8.56e-02 3.78e-01f 1\n", + " 22 -1.4383870e+09 6.89e-02 1.83e+06 -1.0 6.35e+03 - 1.09e-01 3.03e-01f 1\n", + " 23 -1.4385699e+09 1.69e-01 1.66e+06 -1.0 7.29e+03 - 9.61e-02 3.70e-01f 1\n", + " 24 -1.4386887e+09 1.07e-01 1.48e+06 -1.0 7.38e+03 - 1.06e-01 2.23e-01f 1\n", + " 25 -1.4389658e+09 6.96e-02 1.35e+06 -1.0 8.07e+03 - 8.82e-02 4.34e-01f 1\n", + " 26 -1.4392462e+09 5.23e-02 1.20e+06 -1.0 8.10e+03 - 1.11e-01 3.99e-01f 1\n", + " 27 -1.4393949e+09 4.33e-02 1.07e+06 -1.0 8.89e+03 - 1.07e-01 1.75e-01f 1\n", + " 28 -1.4395972e+09 3.47e-02 9.82e+05 -1.0 1.01e+04 - 8.44e-02 2.00e-01f 1\n", + " 29 -1.4398603e+09 2.40e-02 9.02e+05 -1.0 9.91e+03 - 8.21e-02 2.25e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30 -1.4401441e+09 2.12e-02 8.24e+05 -1.0 1.13e+04 - 8.59e-02 2.08e-01f 1\n", + " 31 -1.4404810e+09 2.10e-02 7.56e+05 -1.0 1.22e+04 - 8.23e-02 2.08e-01f 1\n", + " 32 -1.4404886e+09 1.38e-02 2.76e+05 -1.0 1.56e+02 -4.0 6.35e-01 3.44e-01f 1\n", + " 33 -1.4420823e+09 5.07e-02 2.74e+05 -1.0 3.63e+04 - 8.63e-03 2.98e-01f 1\n", + " 34 -1.4420863e+09 2.66e-02 8.08e+04 -1.0 6.48e+01 -3.6 7.05e-01 4.74e-01f 1\n", + " 35 -1.4449386e+09 2.99e-02 7.96e+04 -1.0 1.17e+05 - 1.55e-02 1.21e-01f 1\n", + " 36 -1.4496697e+09 3.39e-02 7.79e+04 -1.0 1.42e+05 - 2.13e-02 1.34e-01f 1\n", + " 37 -1.4586979e+09 3.73e-02 7.60e+04 -1.0 1.85e+05 - 2.45e-02 1.61e-01f 1\n", + " 38 -1.4587011e+09 1.95e-02 5.93e+04 -1.0 1.10e+02 -3.7 2.19e-01 4.79e-01f 1\n", + " 39 -1.4848054e+09 3.73e-02 5.81e+04 -1.0 3.91e+05 - 2.06e-02 2.04e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40 -1.5252288e+09 3.73e-02 5.67e+04 -1.0 7.95e+05 - 2.34e-02 1.45e-01f 1\n", + " 41 -1.5256338e+09 3.73e-02 5.46e+04 -1.0 8.09e+05 - 3.71e-02 1.68e-03f 1\n", + " 42 -1.5256378e+09 3.16e-02 1.30e+04 -1.0 1.18e+02 -4.6 7.61e-01 1.52e-01f 1\n", + " 43 -1.5257625e+09 3.33e-02 1.28e+04 -1.0 1.22e+06 - 1.72e-02 9.02e-02f 1\n", + " 44 -1.5257625e+09 1.29e-05 1.28e+02 -1.0 9.85e+00 -3.3 9.90e-01 1.00e+00f 1\n", + " 45 -1.5257632e+09 8.77e-10 7.14e+00 -1.0 1.97e+01 -3.8 9.90e-01 1.00e+00f 1\n", + " 46 -1.5257691e+09 5.73e-10 1.44e+06 -1.7 4.08e+01 -4.3 8.61e-01 6.80e-01f 1\n", + " 47 -1.5257724e+09 5.78e-10 1.10e+06 -1.7 1.13e+02 -4.7 9.05e-01 5.28e-01f 1\n", + " 48 -1.5257741e+09 5.63e-10 3.21e+05 -1.7 4.28e+01 -4.3 1.00e+00 7.34e-01f 1\n", + " 49 -1.5257748e+09 7.46e-10 2.17e-02 -1.7 1.60e+01 -3.9 1.00e+00 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50 -1.5258336e+09 3.57e-06 5.79e+00 -3.8 1.24e+08 - 5.11e-04 8.21e-04f 1\n", + " 51 -1.5258349e+09 2.47e-06 4.78e+05 -3.8 1.47e+02 -4.8 5.34e-01 2.93e-01f 1\n", + " 52 -1.5258358e+09 1.45e-06 3.00e+05 -3.8 5.79e+01 -4.4 4.17e-01 4.01e-01f 1\n", + " 53 -1.5258625e+09 3.53e-06 3.00e+05 -3.8 5.43e+08 - 1.33e-04 1.87e-04f 1\n", + " 54 -1.5258629e+09 2.66e-06 3.56e+05 -3.8 6.45e+01 -4.5 4.72e-01 2.37e-01f 1\n", + " 55 -1.5258633e+09 1.38e-06 1.91e+05 -3.8 2.52e+01 -4.0 4.64e-01 4.63e-01f 1\n", + " 56 -1.5258639e+09 8.29e-07 1.44e+05 -3.8 7.30e+01 -4.5 5.18e-01 3.69e-01f 1\n", + " 57 -1.5258639e+09 4.91e-07 9.98e+04 -3.8 3.61e+00 -3.2 6.04e-01 4.06e-01f 1\n", + " 58 -1.5258640e+09 2.75e-07 6.28e+04 -3.8 1.07e+01 -3.7 6.42e-01 4.32e-01f 1\n", + " 59 -1.5258641e+09 1.23e-07 3.24e+04 -3.8 4.04e+00 -3.2 9.41e-01 5.49e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60 -1.5258642e+09 8.05e-08 2.18e+04 -3.8 1.21e+01 -3.7 1.00e+00 3.40e-01f 1\n", + " 61 -1.5258643e+09 6.43e-08 1.75e+04 -3.8 3.57e+01 -4.2 1.00e+00 1.96e-01f 1\n", + " 62 -1.5258952e+09 6.09e-06 1.75e+04 -3.8 1.37e+10 - 5.28e-06 8.41e-06f 1\n", + " 63 -1.5258953e+09 5.21e-06 1.50e+04 -3.8 3.95e+01 -4.2 9.43e-01 1.44e-01f 1\n", + " 64 -1.5259129e+09 1.18e-05 1.50e+04 -3.8 1.25e+10 - 5.22e-06 8.87e-06f 1\n", + " 65 -1.5259131e+09 8.39e-06 1.08e+04 -3.8 4.43e+01 -4.3 1.00e+00 2.82e-01f 1\n", + " 66 -1.5259270e+09 1.80e-05 1.08e+04 -3.8 1.14e+10 - 5.72e-06 1.08e-05f 1\n", + " 67 -1.5259333e+09 2.03e-05 1.08e+04 -3.8 1.39e+10 - 6.21e-06 5.33e-06f 1\n", + " 68 -1.5259438e+09 2.44e-05 1.08e+04 -3.8 1.67e+10 - 3.98e-06 7.18e-06f 1\n", + " 69 -1.5259474e+09 2.70e-05 1.08e+04 -3.8 1.04e+10 - 5.48e-06 5.78e-06f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70 -1.5259475e+09 2.20e-05 8.77e+03 -3.8 1.26e+02 -4.0 1.00e+00 1.85e-01f 1\n", + " 71 -1.5259475e+09 9.86e-06 3.98e+03 -3.8 7.90e+00 -3.5 1.00e+00 5.47e-01f 1\n", + " 72 -1.5259476e+09 7.33e-06 2.97e+03 -3.8 2.37e+01 -4.0 1.00e+00 2.53e-01f 1\n", + " 73 -1.5259555e+09 2.27e-05 2.97e+03 -3.8 7.34e+09 - 7.15e-06 1.40e-05f 1\n", + " 74 -1.5259556e+09 1.40e-05 1.85e+03 -3.8 2.65e+01 -4.1 1.00e+00 3.77e-01f 1\n", + " 75 -1.5259614e+09 2.98e-05 1.85e+03 -3.8 8.46e+09 - 8.73e-06 1.45e-05f 1\n", + " 76 -1.5259636e+09 3.44e-05 1.85e+03 -3.8 5.87e+09 - 7.02e-06 7.90e-06f 1\n", + " 77 -1.5259681e+09 4.10e-05 1.85e+03 -3.8 1.16e+10 - 7.75e-06 9.40e-06f 1\n", + " 78 -1.5259681e+09 3.38e-05 1.53e+03 -3.8 3.31e+01 -4.2 1.00e+00 1.74e-01f 1\n", + " 79 -1.5259682e+09 1.83e-05 8.35e+02 -3.8 1.21e+01 -3.7 1.00e+00 4.53e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80 -1.5259683e+09 1.45e-05 6.61e+02 -3.8 3.60e+01 -4.2 1.00e+00 2.09e-01f 1\n", + " 81 -1.5259754e+09 4.73e-05 6.61e+02 -3.8 6.42e+09 - 8.92e-06 2.16e-05f 1\n", + " 82 -1.5259787e+09 5.11e-05 6.61e+02 -3.8 8.60e+09 - 8.52e-06 7.44e-06f 1\n", + " 83 -1.5259788e+09 2.84e-05 3.70e+02 -3.8 8.29e+01 -3.8 4.15e-01 4.41e-01f 1\n", + " 84 -1.5259789e+09 2.39e-05 3.12e+02 -3.8 4.55e+01 -4.3 1.00e+00 1.55e-01f 1\n", + " 85 -1.5259835e+09 4.94e-05 3.12e+02 -3.8 3.84e+09 - 1.07e-05 1.98e-05f 1\n", + " 86 -1.5259836e+09 3.86e-05 2.45e+02 -3.8 5.11e+01 -4.4 1.00e+00 2.17e-01f 1\n", + " 87 -1.5259872e+09 6.15e-05 2.45e+02 -3.8 4.50e+09 - 1.65e-05 1.92e-05f 1\n", + " 88 -1.5259929e+09 6.84e-05 2.45e+02 -3.8 1.36e+10 - 3.76e-06 1.07e-05f 1\n", + " 89 -1.5259934e+09 7.28e-05 2.45e+02 -3.8 8.30e+08 - 4.20e-05 8.62e-06f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90 -1.5259967e+09 8.02e-05 2.45e+02 -3.8 1.62e+10 - 8.42e-07 1.13e-05f 1\n", + " 91 -1.5259971e+09 8.37e-05 2.45e+02 -3.8 6.85e+08 - 2.03e-05 7.72e-06f 1\n", + " 92 -1.5259972e+09 3.89e-05 1.15e+02 -3.8 3.81e+01 -3.6 3.38e-01 5.31e-01f 1\n", + " 93 -1.5259973e+09 2.74e-05 8.11e+01 -3.8 2.73e+01 -4.1 1.00e+00 2.93e-01f 1\n", + " 94 -1.5260043e+09 1.25e-03 8.11e+01 -3.8 7.70e+08 - 2.49e-05 1.48e-04f 1\n", + " 95 -1.5260045e+09 7.36e-04 4.78e+01 -3.8 3.06e+01 -4.2 1.00e+00 4.10e-01f 1\n", + " 96 -1.5260072e+09 7.88e-04 4.78e+01 -3.8 2.23e+09 - 1.65e-05 3.41e-05f 1\n", + " 97 -1.5260088e+09 8.00e-04 4.78e+01 -3.8 4.96e+09 - 2.36e-05 1.69e-05f 1\n", + " 98 -1.5260093e+09 8.18e-04 4.78e+01 -3.8 2.42e+07 - 1.82e-04 2.09e-05f 1\n", + " 99 -1.5260113e+09 8.34e-04 4.78e+01 -3.8 9.35e+09 - 5.27e-07 2.05e-05f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100 -1.5260116e+09 8.40e-04 9.21e+01 -3.8 6.24e+06 - 8.65e-04 1.31e-05f 1\n", + " 101 -1.5260180e+09 3.08e-02 7.05e+01 -3.8 2.41e+07 - 2.95e-05 3.76e-04f 1\n", + " 102 -1.5260180e+09 1.37e-06 3.55e-03 -3.8 3.38e+00 -3.0 1.00e+00 1.00e+00f 1\n", + " 103 -1.5260181e+09 4.20e-07 8.09e+00 -3.8 6.13e+00 -3.5 9.12e-01 6.93e-01f 1\n", + " 104 -1.5260200e+09 7.20e-04 1.91e+01 -3.8 1.12e+07 - 3.58e-04 1.05e-04f 1\n", + " 105 -1.5260200e+09 5.16e-04 4.50e+01 -3.8 2.24e+01 -3.5 1.00e+00 2.84e-01f 1\n", + " 106 -1.5260201e+09 1.70e-07 2.32e+00 -3.8 2.58e+00 -3.1 9.68e-01 1.00e+00f 1\n", + " 107 -1.5260201e+09 5.82e-08 1.96e+01 -3.8 7.69e+00 -3.6 1.00e+00 6.58e-01f 1\n", + " 108 -1.5260202e+09 2.66e-08 2.08e+01 -3.8 2.84e+00 -3.1 1.00e+00 5.42e-01f 1\n", + " 109 -1.5260202e+09 9.11e-09 4.62e+01 -3.8 8.51e+00 -3.6 1.00e+00 6.58e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110 -1.5260354e+09 6.04e-02 4.62e+01 -3.8 1.21e+07 - 3.87e-04 8.87e-04f 1\n", + " 111 -1.5260354e+09 6.04e-02 2.69e+02 -3.8 1.56e+01 -3.7 9.75e-02 1.21e-03f 1\n", + " 112 -1.5260402e+09 6.18e-02 2.69e+02 -3.8 7.01e+06 - 5.13e-04 4.23e-04f 1\n", + " 113 -1.5260466e+09 6.28e-02 2.69e+02 -3.8 8.76e+06 - 4.72e-04 6.88e-04f 1\n", + " 114 -1.5260466e+09 6.12e-02 2.64e+02 -3.8 3.20e+01 -4.2 2.49e-01 2.47e-02f 1\n", + " 115 -1.5260467e+09 6.12e-02 2.64e+02 -3.8 4.48e+06 - 7.53e-04 5.08e-06f 1\n", + " 116 -1.5260533e+09 6.15e-02 2.63e+02 -3.8 4.66e+06 - 5.06e-04 1.13e-03f 1\n", + " 117 -1.5260534e+09 4.53e-02 3.10e+02 -3.8 6.22e+00 -2.9 1.27e-01 2.63e-01f 1\n", + " 118 -1.5260534e+09 3.15e-02 2.51e+02 -3.8 5.08e+00 -3.4 3.78e-01 3.05e-01f 1\n", + " 119 -1.5260534e+09 2.98e-02 2.37e+02 -3.8 2.93e+01 -3.9 6.25e-02 5.53e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 120 -1.5260584e+09 2.99e-02 2.36e+02 -3.8 2.45e+06 - 1.69e-03 1.20e-03f 1\n", + " 121 -1.5260584e+09 2.29e-02 5.57e+02 -3.8 3.08e+01 -3.9 4.40e-02 2.33e-01f 1\n", + " 122 -1.5260584e+09 2.27e-02 5.51e+02 -3.8 4.87e+01 -4.4 1.81e-02 1.05e-02f 1\n", + " 123 -1.5260584e+09 1.96e-02 4.76e+02 -3.8 3.33e+01 -4.0 5.69e-02 1.36e-01f 1\n", + " 124 -1.5260584e+09 1.40e-02 6.01e+02 -3.8 1.16e+01 -3.5 5.86e-02 2.84e-01f 1\n", + " 125 -1.5260584e+09 1.39e-02 5.95e+02 -3.8 2.04e+01 -4.0 5.68e-02 1.11e-02f 1\n", + " 126 -1.5260634e+09 1.42e-02 5.94e+02 -3.8 1.43e+06 - 1.86e-03 1.78e-03f 1\n", + " 127 -1.5260664e+09 1.43e-02 5.93e+02 -3.8 9.32e+05 - 3.56e-03 1.60e-03f 1\n", + " 128 -1.5260664e+09 1.40e-02 5.77e+02 -3.8 9.51e+00 -3.6 4.59e-02 2.63e-02f 1\n", + " 129 -1.5260714e+09 1.48e-02 5.75e+02 -3.8 5.47e+05 - 6.09e-04 4.12e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 130 -1.5260736e+09 1.51e-02 5.73e+02 -3.8 3.26e+05 - 9.99e-03 2.61e-03f 1\n", + " 131 -1.5260765e+09 1.59e-02 5.69e+02 -3.8 1.53e+05 - 3.02e-03 7.00e-03f 1\n", + " 132 -1.5260774e+09 1.60e-02 5.67e+02 -3.8 9.94e+04 - 9.09e-03 3.49e-03f 1\n", + " 133 -1.5260789e+09 1.62e-02 5.63e+02 -3.8 1.01e+05 - 4.34e-03 8.32e-03f 1\n", + " 134 -1.5260793e+09 1.62e-02 5.61e+02 -3.8 8.54e+04 - 2.39e-03 3.19e-03f 1\n", + " 135 -1.5260793e+09 8.67e-03 4.12e+02 -3.8 6.84e+00 -2.5 3.74e-01 4.65e-01f 1\n", + " 136 -1.5260793e+09 7.77e-03 4.95e+02 -3.8 1.60e+00 -2.9 1.79e-01 1.04e-01f 1\n", + " 137 -1.5260793e+09 3.50e-03 3.20e+02 -3.8 6.10e-01 -2.5 6.19e-01 5.50e-01f 1\n", + " 138 -1.5260793e+09 2.68e-03 2.11e+02 -3.8 1.61e+00 -3.0 1.71e-01 2.35e-01f 1\n", + " 139 -1.5260805e+09 5.93e-03 2.03e+02 -3.8 4.49e+04 - 2.54e-03 1.39e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 140 -1.5260812e+09 1.09e-02 2.03e+02 -3.8 2.92e+04 - 1.64e-02 1.12e-02f 1\n", + " 141 -1.5260812e+09 7.53e-03 3.27e+02 -3.8 5.24e+00 -2.6 4.51e-01 3.12e-01f 1\n", + " 142 -1.5260812e+09 5.93e-03 2.13e+02 -3.8 1.47e+00 -3.1 4.50e-01 2.13e-01f 1\n", + " 143 -1.5260819e+09 1.21e-02 2.05e+02 -3.8 1.50e+04 - 9.60e-03 2.59e-02f 1\n", + " 144 -1.5260819e+09 1.03e-02 6.66e+02 -3.8 1.18e+01 -3.1 5.70e-01 1.46e-01f 1\n", + " 145 -1.5260819e+09 2.97e-03 1.36e+02 -3.8 5.17e-01 -2.7 1.00e+00 7.13e-01f 1\n", + " 146 -1.5260824e+09 1.18e-02 1.31e+02 -3.8 1.23e+04 - 6.80e-03 3.63e-02f 1\n", + " 147 -1.5260824e+09 1.18e-02 1.30e+02 -3.8 8.82e+03 - 3.20e-02 6.99e-03f 1\n", + " 148 -1.5260825e+09 1.16e-02 1.28e+02 -3.8 1.76e+04 - 6.91e-03 1.56e-02f 1\n", + " 149 -1.5260825e+09 1.10e-02 1.22e+02 -3.8 1.04e+00 -2.8 9.55e-02 4.56e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 150 -1.5260825e+09 6.40e-03 7.18e+01 -3.8 1.09e+00 -3.3 2.39e-01 4.21e-01f 1\n", + " 151 -1.5260826e+09 1.10e-02 7.01e+01 -3.8 1.22e+04 - 1.74e-02 2.23e-02f 1\n", + " 152 -1.5260826e+09 7.20e-04 6.54e+01 -3.8 1.56e+00 -2.5 1.00e+00 9.40e-01f 1\n", + " 153 -1.5260826e+09 2.42e-07 9.03e-04 -3.8 3.77e-01 -2.9 1.00e+00 1.00e+00f 1\n", + " 154 -1.5260828e+09 7.99e-04 3.07e+01 -5.7 4.81e+03 - 2.94e-02 4.34e-02f 1\n", + " 155 -1.5260828e+09 2.32e-03 4.48e+01 -5.7 6.97e+03 - 1.78e-02 3.24e-02f 1\n", + " 156 -1.5260828e+09 1.51e-03 7.11e+02 -5.7 9.72e-01 -2.6 3.93e-01 3.49e-01f 1\n", + " 157 -1.5260828e+09 1.07e-03 3.97e+03 -5.7 5.80e-01 -3.0 6.83e-01 2.96e-01f 1\n", + " 158 -1.5260828e+09 6.53e-04 3.46e+03 -5.7 2.43e-01 -2.6 7.96e-01 3.87e-01f 1\n", + " 159 -1.5260829e+09 4.85e-04 2.83e+03 -5.7 6.75e-01 -3.1 8.66e-01 2.57e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 160 -1.5260829e+09 1.47e-04 8.69e+02 -5.7 2.54e-01 -2.7 9.41e-01 6.98e-01f 1\n", + " 161 -1.5260829e+09 1.47e-04 8.68e+02 -5.7 2.63e+05 - 6.69e-04 6.36e-06f 1\n", + " 162 -1.5260829e+09 3.25e-04 8.68e+02 -5.7 1.91e+05 - 4.61e-04 8.58e-04f 1\n", + " 163 -1.5260830e+09 3.25e-04 8.68e+02 -5.7 2.93e+05 - 3.04e-04 4.20e-04f 1\n", + " 164 -1.5260830e+09 3.25e-04 8.67e+02 -5.7 1.61e+05 - 5.73e-04 4.87e-04f 1\n", + " 165 -1.5260830e+09 2.93e-04 1.38e+03 -5.7 2.75e+01 -3.2 4.36e-01 9.90e-02f 1\n", + " 166 -1.5260830e+09 2.93e-04 1.38e+03 -5.7 1.06e+05 - 1.45e-03 1.31e-05f 1\n", + " 167 -1.5260830e+09 2.92e-04 1.38e+03 -5.7 9.62e+04 - 6.42e-04 1.60e-03f 1\n", + " 168 -1.5260830e+09 2.92e-04 1.38e+03 -5.7 5.47e+04 - 1.70e-03 6.35e-04f 1\n", + " 169 -1.5260831e+09 2.91e-04 1.37e+03 -5.7 4.01e+04 - 8.60e-04 8.28e-04f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 170 -1.5260831e+09 2.57e-04 1.28e+03 -5.7 8.81e+00 -3.8 7.91e-02 1.17e-01f 1\n", + " 171 -1.5260831e+09 2.57e-04 1.28e+03 -5.7 3.35e+04 - 7.39e-04 6.38e-04f 1\n", + " 172 -1.5260831e+09 1.86e-04 5.00e+02 -5.7 2.45e+00 -2.1 6.57e-01 2.76e-01f 1\n", + " 173 -1.5260831e+09 1.58e-04 4.25e+02 -5.7 1.66e-01 -2.5 5.29e-01 1.50e-01f 1\n", + " 174 -1.5260831e+09 1.58e-04 4.25e+02 -5.7 2.69e+04 - 7.71e-04 6.50e-05f 1\n", + " 175 -1.5260831e+09 1.58e-04 4.23e+02 -5.7 9.60e+00 -3.5 2.82e-02 4.36e-03f 1\n", + " 176 -1.5260831e+09 1.49e-04 4.02e+02 -5.7 3.33e+00 -4.0 1.96e-01 5.19e-02f 1\n", + " 177 -1.5260831e+09 1.49e-04 4.01e+02 -5.7 2.43e+04 - 9.03e-04 4.52e-04f 1\n", + " 178 -1.5260831e+09 1.49e-04 4.01e+02 -5.7 5.76e+01 -4.0 2.51e-02 1.47e-03f 1\n", + " 179 -1.5260831e+09 1.38e-04 3.71e+02 -5.7 1.33e+00 -3.6 1.40e-01 7.54e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 180 -1.5260831e+09 1.18e-04 3.17e+02 -5.7 5.13e-01 -3.2 2.94e-01 1.46e-01f 1\n", + " 181 -1.5260831e+09 1.06e-04 2.85e+02 -5.7 1.32e+00 -3.6 9.93e-02 1.01e-01f 1\n", + " 182 -1.5260831e+09 1.06e-04 2.84e+02 -5.7 2.09e+04 - 1.53e-03 1.10e-03f 1\n", + " 183 -1.5260831e+09 1.01e-04 2.72e+02 -5.7 1.31e+00 -3.7 6.31e-02 4.40e-02f 1\n", + " 184 -1.5260831e+09 9.71e-05 2.61e+02 -5.7 3.46e+00 -4.2 1.28e-01 3.94e-02f 1\n", + " 185 -1.5260831e+09 9.71e-05 2.60e+02 -5.7 1.57e+04 - 3.41e-03 3.15e-04f 1\n", + " 186 -1.5260831e+09 3.46e-04 2.60e+02 -5.7 1.46e+04 - 1.36e-03 4.25e-03f 1\n", + " 187 -1.5260831e+09 4.39e-04 2.58e+02 -5.7 6.02e+03 - 7.43e-03 2.39e-03f 1\n", + " 188 -1.5260831e+09 1.04e-03 2.56e+02 -5.7 2.53e+03 - 8.77e-03 9.82e-03f 1\n", + " 189 -1.5260831e+09 1.79e-03 2.52e+02 -5.7 8.92e+02 - 1.35e-02 1.61e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 190 -1.5260832e+09 2.72e-03 2.46e+02 -5.7 2.60e+02 - 2.60e-02 2.69e-02f 1\n", + " 191 -1.5260832e+09 3.55e-03 2.29e+02 -5.7 6.35e+01 - 7.05e-02 3.60e-02f 1\n", + " 192 -1.5260832e+09 3.07e-03 1.98e+02 -5.7 2.84e+00 -3.5 1.23e-01 1.36e-01f 1\n", + " 193 -1.5260832e+09 3.86e-03 1.74e+02 -5.7 1.90e+01 - 1.30e-01 5.05e-02f 1\n", + " 194 -1.5260832e+09 2.09e-03 1.11e+02 -5.7 3.41e-01 -2.6 7.64e-01 4.60e-01f 1\n", + " 195 -1.5260832e+09 2.42e-04 1.26e+01 -5.7 1.84e-01 -2.2 8.90e-01 8.86e-01f 1\n", + " 196 -1.5260832e+09 7.73e-05 4.10e+00 -5.7 3.63e-02 -2.7 1.00e+00 6.81e-01f 1\n", + " 197 -1.5260832e+09 5.03e-04 7.63e+00 -5.7 1.26e+01 - 4.91e-02 1.63e-01f 1\n", + " 198 -1.5260832e+09 6.03e-04 4.84e+00 -5.7 6.71e+00 - 2.34e-01 4.23e-02f 1\n", + " 199 -1.5260832e+09 7.41e-04 8.39e+00 -5.7 2.95e+00 - 2.41e-01 6.46e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 200 -1.5260832e+09 1.62e-03 3.65e+00 -5.7 2.10e+00 - 5.20e-01 5.38e-01f 1\n", + " 201 -1.5260832e+09 7.67e-05 1.13e-01 -5.7 5.67e-01 -2.8 1.00e+00 1.00e+00f 1\n", + " 202 -1.5260832e+09 6.46e-10 6.93e-03 -5.7 1.75e-02 -3.3 1.00e+00 1.00e+00h 1\n", + " 203 -1.5260832e+09 5.89e-10 7.62e-06 -5.7 4.10e-02 -3.7 1.00e+00 1.00e+00h 1\n", + " 204 -1.5260832e+09 9.62e-06 9.27e+00 -7.0 9.08e-01 - 9.04e-01 6.82e-01f 1\n", + " 205 -1.5260832e+09 2.66e-07 1.25e+02 -7.0 1.37e+00 - 5.40e-01 1.00e+00f 1\n", + " 206 -1.5260832e+09 6.02e-10 3.78e+00 -7.0 1.18e+00 - 5.84e-01 1.00e+00h 1\n", + " 207 -1.5260832e+09 5.62e-10 1.14e+00 -7.0 2.36e+00 - 6.97e-01 1.00e+00h 1\n", + " 208 -1.5260832e+09 5.16e-10 2.28e-01 -7.0 3.31e+00 - 8.01e-01 7.82e-01h 1\n", + " 209 -1.5260832e+09 4.66e-10 7.89e-11 -7.0 1.26e+00 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 209\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -6.9575891027062416e+07 -1.5260831598588691e+09\n", + "Dual infeasibility......: 7.8854069107681113e-11 1.7295914601334059e-09\n", + "Constraint violation....: 1.1641532182693481e-10 4.6566128730773926e-10\n", + "Variable bound violation: 9.3490332660813719e-09 9.3490332660813719e-09\n", + "Complementarity.........: 1.6654908733340153e-07 3.6531010054978156e-06\n", + "Overall NLP error.......: 1.6654908733340153e-07 3.6531010054978156e-06\n", + "\n", + "\n", + "Number of objective function evaluations = 210\n", + "Number of objective gradient evaluations = 210\n", + "Number of equality constraint evaluations = 210\n", + "Number of inequality constraint evaluations = 210\n", + "Number of equality constraint Jacobian evaluations = 210\n", + "Number of inequality constraint Jacobian evaluations = 210\n", + "Number of Lagrangian Hessian evaluations = 209\n", + "Total seconds in IPOPT = 1856.072\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 530400, 'Number of variables': 528003, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 1866.8461706638336}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Define the objective function\n", + "m.obj = Objective(expr=metrics['NPV'], sense=maximize)\n", + "\n", + "#=======================================\n", + "# Define the solver object. Using IPOPT\n", + "solver = get_solver()\n", + "\n", + "# Solver the optimization problem\n", + "solver.solve(m, tee=True)" + ] + }, + { + "cell_type": "markdown", + "id": "confident-neutral", + "metadata": {}, + "source": [ + "Verify that the solver converges to the optimal solution. We now print the results and answer the questions posed at the beginning of this notebook. To recall, we are interested in determining whether the following options are attractive (i.e., maximize NPV):\n", + "\n", + "- Produce hydrogen using a portion of the electricity, especially during periods of low electricity demand, and sell it.\n", + "- Produce hydrogen, store it in a tank, and combust it to produce electrity during the periods of high electricity demand." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "scientific-nudist", + "metadata": {}, + "outputs": [], + "source": [ + "def generate_plots(m, d, y, set_time, lmp):\n", + " LMP = [lmp[y][d][t] for t in set_time]\n", + " \n", + " # Power from nuclear power plant to the grid (convert it to MW)\n", + " np_to_grid = [m.period[t, d, y].fs.np_power_split.split_fraction[\"np_to_grid\", 0].value \n", + " for t in set_time]\n", + " # Hydrogen production rate in the PEM electrolyzer (convert it to kg/hr)\n", + " h2_production = [m.period[t, d, y].fs.pem.outlet.flow_mol[0].value * 2.016e-3 * 3600\n", + " for t in set_time]\n", + " # Hydrogen flowrate to pipeline (convert it to kg/hr)\n", + " h2_to_pipeline = [m.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0].value * 2.016e-3 * 3600\n", + " for t in set_time]\n", + " # Hydrogen flowrate to turbine (convert it to kg/hr)\n", + " h2_to_turbine = [m.period[t, d, y].fs.h2_tank.outlet_to_turbine.flow_mol[0].value * 2.016e-3 * 3600\n", + " for t in set_time]\n", + " \n", + " # Plot the results\n", + " plot_lmp_and_schedule(lmp=LMP,\n", + " schedule={\"power_to_grid\": np_to_grid,\n", + " \"h2_production\": h2_production,\n", + " \"h2_to_pipeline\": h2_to_pipeline,\n", + " \"h2_to_turbine\": h2_to_turbine},\n", + " y_label={\"power_to_grid\": \"Split fraction to grid [-]\",\n", + " \"h2_production\": \"Hydrogen production (kg/hr)\",\n", + " \"h2_to_pipeline\": \"Hydrogen to pipeline (kg/hr)\",\n", + " \"h2_to_turbine\": \"Hydrogen to turbine (kg/hr)\"},\n", + " y_range={\"power_to_grid\": (0.5, 1.02),\n", + " \"h2_production\": (0, 4000),\n", + " \"h2_to_pipeline\": (0, 4000),\n", + " \"h2_to_turbine\": (-0.5, 10)})" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "disabled-invitation", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optimal PEM capacity : 196.26160220264526 MW\n", + "Optimal tank capacity : 0.01451633474125722 kg\n", + "Optimal turbine capacity: 9.076527250442872e-05 MW\n", + "NPV : 1.5260831598588753 $B\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pyomo.environ as pyo\n", + "\n", + "# Print Results\n", + "print(\"Optimal PEM capacity : \", m.pem_capacity.value * 1e-3, \"MW\")\n", + "print(\"Optimal tank capacity : \", m.tank_capacity.value * 2.016e-3, \"kg\")\n", + "print(\"Optimal turbine capacity: \", m.h2_turbine_capacity.value * 1e-6, \"MW\")\n", + "\n", + "print(\"NPV :\", pyo.value( m.obj ) * 1e-9, \"$B\")\n", + "\n", + "# Using `generate_plots` we plot optimal operating conditions for a specific day\n", + "generate_plots(m, d=4, y=2022, set_time=m.set_time, lmp=m.LMP)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "brutal-sigma", + "metadata": {}, + "outputs": [], + "source": [ + "# Using `generate_plots` we plot optimal operating conditions for a specific day\n", + "generate_plots(m, d=8, y=2022, set_time=m.set_time, lmp=m.LMP)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "brilliant-prairie", + "metadata": {}, + "outputs": [], + "source": [ + "# These optimization problems tend to be very large, so we \n", + "# delete the model after analyzing the results to save memory.\n", + "del m" + ] + }, + { + "cell_type": "markdown", + "id": "civic-special", + "metadata": {}, + "source": [ + "## Multiperiod Optimization Model: Stochastic\n", + "\n", + "### LMP Signal\n", + "\n", + "As mentioned in the previous section, due to uncertainty in various factors such as weather, demand, etc., it is not possible to determine the future locational marginal price accurately. There are many approaches to take into account the uncertainty in the LMP signal during the decision making process. One such approach involves the generation of potential LMP scenarios along with their associated probabilities and use them to formulate a stochastic program.\n", + "\n", + "Here, for demonstration, we consider two different realizations of the LMP signal (i.e., two scenarios: scenario 0 and scenario 1). These scenarios are sampled from the trained ARMA model used in the previous example." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "previous-sending", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(88312.98 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", + "(88312.98 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", + "(88313.00 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", + "(88313.02 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", + "(88313.03 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", + "(88313.04 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", + "(88313.05 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", + "(88313.07 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", + "(88313.09 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", + "(88313.11 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", + "(88313.13 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", + "(88313.15 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", + "(88313.16 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", + "(88313.18 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", + "(88313.19 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", + "(88313.21 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", + "(88313.22 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", + "(88313.24 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", + "(88313.26 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", + "(88313.27 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", + "(88313.28 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", + "(88313.30 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", + "(88313.31 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", + "(88313.32 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", + "(88313.34 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", + "(88313.37 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", + "(88313.39 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", + "(88313.40 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", + "(88313.43 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n", + "(88313.45 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", + "(88313.45 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", + "(88313.46 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", + "(88313.48 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", + "(88313.51 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", + "(88313.53 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", + "(88313.55 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", + "(88313.57 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", + "(88313.58 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", + "(88313.59 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", + "(88313.61 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", + "(88313.63 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", + "(88313.64 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", + "(88313.65 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", + "(88313.67 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", + "(88313.68 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", + "(88313.69 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", + "(88313.70 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", + "(88313.72 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", + "(88313.73 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", + "(88313.75 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", + "(88313.76 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", + "(88313.77 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", + "(88313.79 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", + "(88313.80 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", + "(88313.82 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", + "(88313.83 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", + "(88313.85 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", + "(88313.86 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n" + ] + } + ], + "source": [ + "# Create concrete model object\n", + "m = ConcreteModel()\n", + "\n", + "# number of requested scenarios/synthetic histories\n", + "num_scenarios = 2 \n", + "m.set_scenarios = range(num_scenarios)\n", + "\n", + "# empty dictionaries\n", + "m.LMP = {}\n", + "m.weights_days = {} \n", + "\n", + "# Gather the LMP data needed for the stochastic case\n", + "# Notation: lmp_dataset[scenario][year][cluster/day][time/hour]\n", + "for scenario in m.set_scenarios:\n", + " # generate a new scenario\n", + " synHistDict = synHistIntegration.generateSyntheticHistory(\"price\", set_years)\n", + " # save data to model\n", + " m.LMP[scenario] = synHistDict['LMP']\n", + " m.weights_days[scenario] = synHistDict['weights_days']\n" + ] + }, + { + "cell_type": "markdown", + "id": "polar-bridge", + "metadata": {}, + "source": [ + "Next, we formulate an optimization problem of the form\n", + "$$ \\begin{aligned}\n", + "\\max_{D, D_s, u_{s, t, d}} \\quad & \\sum_s w_s \\text{NPV}_s(D_s, u_{s, t, d})\\\\\n", + "& g(u_{s, t, d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S} \\\\\n", + "& h(u_{s, t, d}) \\le 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S} \\\\\n", + "& f(u_{s, t-1, d}, u_{s, t, d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S} \\\\\n", + "& u_{s, t, d} \\le D_s, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S}\\\\\n", + "& D_s = D, & & \\forall\\; s \\in \\mathcal{S}\n", + "\\end{aligned}$$\n", + "\n", + "Here, the sets $\\mathcal{S} = \\{0, 1\\}$, $\\mathcal{T} = \\{1, \\dots, 24\\}$ and $\\mathcal{C} = \\{1, \\dots, 20\\}$ denote the the set of scenarios, the set of hours in a day and the set of clusters/days in a year, respectively. $D$ denotes the design decisions (or, first-stage variables) viz. size of the PEM electrolyzer (`pem_capacity`), tank (`tank_capacity`) and the turbine (`turbine_capacity`), and $D_s$ denotes the design decisions in scenario $s$. $u_{s, t, d}$ denotes the operating decisions (or, second-stage decisions) in scenario $s$, at time $t$ of day/cluster $d$. $g(u_{s, t, d}) = 0$ and $h(u_{s, t,d}) \\le 0$ denote the flowsheet model, $f(u_{s, t-1,d}, u_{s, t,d}) = 0$ connects the operating decisions at time $t-1$ and at time $t$ (e.g., tank holdup), and $u_{s, t, d} \\le D_s$ ensures that the operating decision values never exceed the design capacity values (e.g., tank holdup at any time instant must not exceed the tank capacity) in scenario $s$. Finally, $D_s = D$ ensures that the design decisions are maintained the same in all scenarios (non-anticipativity constraints).\n", + "\n", + "In the objective function, $w_s$ denotes the probability associated with scenario $s$, and $\\text{NPV}_s$ stands for the net present value calculated in scenario $s$." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "lightweight-prediction", + "metadata": {}, + "outputs": [], + "source": [ + "# Define sets\n", + "m.set_years = set_years # Set of years\n", + "m.set_days = list(m.LMP[0][set_years[0]].keys()) # e.g., twenty clusters/days per year\n", + "m.set_time = list(m.LMP[0][set_years[0]][m.set_days[0]].keys()) # e.g., twenty fours in a day\n", + "\n", + "# Define parameters\n", + "m.plant_life = plant_life # Plant lifetime: 20 years\n", + "m.tax_rate = 0.2 # Corporate tax rate: 20%\n", + "m.discount_rate = 0.08 # Discount rate: 8%\n", + "m.h2_demand = 1 # Maximum amount of hydrogen that can be sold: 1 kg/s\n", + "m.stochastic = True\n", + "\n", + "# Equal probability for all scenarios\n", + "m.weights_scenarios = {s: 1/num_scenarios for s in m.set_scenarios} " + ] + }, + { + "cell_type": "markdown", + "id": "talented-dietary", + "metadata": {}, + "source": [ + "Next, we call the `build_multiperiod_design` function to formulate the multi-period optimization problem. However, this time, we also set `stochastic=True`. " + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "returning-moderator", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ 0.00] Processing input information.\n", + "[+ 0.00] Beginning the formulation of the multiperiod problem.\n", + "[+ 961.94] Completed the formulation of the multiperiod problem\n", + "2022-09-27 16:37:42 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", + "2022-09-27 16:37:42 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:42 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:42 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", + "2022-09-27 16:37:43 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:43 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", + "2022-09-27 16:37:43 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:43 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:43 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", + "2022-09-27 16:37:43 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:43 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:43 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:43 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", + "2022-09-27 16:37:43 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:43 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", + "2022-09-27 16:37:44 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:44 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:44 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:44 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", + "2022-09-27 16:37:44 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:44 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", + "2022-09-27 16:37:44 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:44 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", + "2022-09-27 16:37:44 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:44 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:44 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-27 16:37:44 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", + "2022-09-27 16:37:44 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", + "2022-09-27 16:37:45 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:45 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", + "2022-09-27 16:37:45 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:45 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:45 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", + "2022-09-27 16:37:45 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:45 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:45 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-27 16:37:45 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", + "2022-09-27 16:37:45 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:45 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", + "2022-09-27 16:37:46 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:46 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", + "2022-09-27 16:37:46 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-27 16:37:46 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", + "2022-09-27 16:37:46 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:46 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", + "2022-09-27 16:37:46 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:46 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:46 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", + "2022-09-27 16:37:46 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:46 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", + "2022-09-27 16:37:47 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", + "2022-09-27 16:37:47 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "[+ 5.18] Created an instance of the flowsheet and initialized it.\n", + "[+ 91.64] Initialized the entire multiperiod optimization model.\n", + "[+ 1.90] Unfixed the degrees of freedom from each period model.\n" + ] + } + ], + "source": [ + "# Build initialized multiperiod model: Constraints g(u(t,d)) = 0 and h(u(t,d)) <= 0\n", + "build_multiperiod_design(m,\n", + " flowsheet=build_ne_flowsheet,\n", + " initialization=fix_dof_and_initialize,\n", + " unfix_dof=unfix_dof,\n", + " multiple_days=True,\n", + " multiyear=True,\n", + " stochastic=True,\n", + " verbose=False)" + ] + }, + { + "cell_type": "markdown", + "id": "divine-zimbabwe", + "metadata": {}, + "source": [ + "Next, add the connecting constraints and hydrogen demand constraints for each of the scenarios." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "elder-victoria", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Proposed amortization schedule cannot be longer than intended project life.\n", + "Returning a shortened schedule: 3 yrs\n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [ 0. 0.3333 0.4445 0.1481 0.0741 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0.]\n", + "Proposed amortization schedule cannot be longer than intended project life.\n", + "Returning a shortened schedule: 3 yrs\n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [ 0. 0.3333 0.4445 0.1481 0.0741 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0.]\n", + "Proposed amortization schedule cannot be longer than intended project life.\n", + "Returning a shortened schedule: 3 yrs\n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [ 0. 0.3333 0.4445 0.1481 0.0741 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0.]\n", + "CashFlow INFO (run): Starting CashFlow Run ...\n", + "CashFlow INFO (run): ... Checking if all drivers present ...\n", + "CashFlow INFO (checkDrivers): ... creating evaluation sequence ...\n", + "CashFlow INFO (checkDrivers): ... evaluation sequence: ['pem|Cap', 'pem|pem_amortize_Cap', 'pem|pem_depreciate_Cap', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Cap', 'h2tank|h2tank_amortize_Cap', 'h2tank|h2tank_depreciate_Cap', 'h2turbine|Cap', 'h2turbine|h2turbine_amortize_Cap', 'h2turbine|h2turbine_depreciate_Cap', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Hourly', 'h2_market|Hourly']\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Project Lifetime Cashflow Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): ... project length: 6 years\n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"pem\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 6\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_depreciate_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"FixedOM\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2tank\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 6\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_depreciate_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2turbine\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 6\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2turbine_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2turbine_depreciate_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"FixedOM\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"electricity_market\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 6\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"electricity_market\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2_market\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 6\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2_market\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Economic Indicator Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (FCFF): FCFF yearly (not discounted):\n", + "CashFlow INFO (FCFF): year, FCFF\n", + "CashFlow INFO (FCFF): 0: \n", + "CashFlow INFO (FCFF): 1: \n", + "CashFlow INFO (FCFF): 2: \n", + "CashFlow INFO (FCFF): 3: \n", + "CashFlow INFO (FCFF): 4: \n", + "CashFlow INFO (FCFF): 5: \n", + "CashFlow INFO (NPV): ... NPV: \n", + "Proposed amortization schedule cannot be longer than intended project life.\n", + "Returning a shortened schedule: 3 yrs\n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [ 0. 0.3333 0.4445 0.1481 0.0741 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0.]\n", + "Proposed amortization schedule cannot be longer than intended project life.\n", + "Returning a shortened schedule: 3 yrs\n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [ 0. 0.3333 0.4445 0.1481 0.0741 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0.]\n", + "Proposed amortization schedule cannot be longer than intended project life.\n", + "Returning a shortened schedule: 3 yrs\n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [ 0. 0.3333 0.4445 0.1481 0.0741 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0.]\n", + "CashFlow INFO (run): Starting CashFlow Run ...\n", + "CashFlow INFO (run): ... Checking if all drivers present ...\n", + "CashFlow INFO (checkDrivers): ... creating evaluation sequence ...\n", + "CashFlow INFO (checkDrivers): ... evaluation sequence: ['pem|Cap', 'pem|pem_amortize_Cap', 'pem|pem_depreciate_Cap', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Cap', 'h2tank|h2tank_amortize_Cap', 'h2tank|h2tank_depreciate_Cap', 'h2turbine|Cap', 'h2turbine|h2turbine_amortize_Cap', 'h2turbine|h2turbine_depreciate_Cap', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Hourly', 'h2_market|Hourly']\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Project Lifetime Cashflow Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): ... project length: 6 years\n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"pem\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 6\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_depreciate_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"FixedOM\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2tank\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 6\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_depreciate_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2turbine\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 6\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2turbine_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2turbine_depreciate_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"FixedOM\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"electricity_market\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 6\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"electricity_market\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2_market\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 6\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2_market\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Economic Indicator Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (FCFF): FCFF yearly (not discounted):\n", + "CashFlow INFO (FCFF): year, FCFF\n", + "CashFlow INFO (FCFF): 0: \n", + "CashFlow INFO (FCFF): 1: \n", + "CashFlow INFO (FCFF): 2: \n", + "CashFlow INFO (FCFF): 3: \n", + "CashFlow INFO (FCFF): 4: \n", + "CashFlow INFO (FCFF): 5: \n", + "CashFlow INFO (NPV): ... NPV: \n" + ] + } + ], + "source": [ + "tealSettings = build_econ_settings(components,\n", + " life=m.plant_life,\n", + " dr=m.discount_rate,\n", + " tax=m.tax_rate,\n", + " metrics=['NPV'])\n", + "\n", + "metrics_list = []\n", + "for s in m.set_scenarios:\n", + " # Build the connecting constraints\n", + " build_connecting_constraints(m.scenario[s], \n", + " set_time=m.set_time, \n", + " set_days=m.set_days,\n", + " set_years=m.set_years)\n", + "\n", + " # Append cash flow expressions\n", + " tealComponentList = []\n", + " for name, comp in components.items():\n", + " tealComp = build_TEAL_Component(name, comp, m, m.scenario[s], s)\n", + " tealComponentList.append(tealComp)\n", + "\n", + " metrics = calculate_TEAL_metrics(tealSettings, tealComponentList)\n", + " metrics_list.append(metrics)\n", + " \n", + " # Hydrogen demand constraint. \n", + " # Divide the RHS by the molecular mass to convert kg/s to mol/s\n", + " obj = m.scenario[s]\n", + " @obj.Constraint(m.set_time, m.set_days, m.set_years)\n", + " def hydrogen_demand_constraint(blk, t, d, y):\n", + " return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / 2.016e-3" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "suburban-radar", + "metadata": {}, + "outputs": [], + "source": [ + "# Add non-anticipativity constraints\n", + "m.pem_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Design PEM capacity (in kW)\")\n", + "m.tank_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Design tank capacity (in mol)\")\n", + "m.h2_turbine_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Design turbine capacity (in W)\")\n", + "\n", + "@m.Constraint(m.set_scenarios)\n", + "def non_anticipativity_pem(blk, s):\n", + " return blk.pem_capacity == blk.scenario[s].pem_capacity\n", + "\n", + "@m.Constraint(m.set_scenarios)\n", + "def non_anticipativity_tank(blk, s):\n", + " return blk.tank_capacity == blk.scenario[s].tank_capacity\n", + "\n", + "@m.Constraint(m.set_scenarios)\n", + "def non_anticipativity_turbine(blk, s):\n", + " return blk.h2_turbine_capacity == blk.scenario[s].h2_turbine_capacity" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "liberal-riverside", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", + "tol=1e-06\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.14.7, running with linear solver MUMPS 5.5.0.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 2903812\n", + "Number of nonzeros in inequality constraint Jacobian.: 38400\n", + "Number of nonzeros in Lagrangian Hessian.............: 979200\n", + "\n", + "Total number of variables............................: 1056009\n", + " variables with only lower bounds: 100809\n", + " variables with lower and upper bounds: 883200\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 1041606\n", + "Total number of inequality constraints...............: 19200\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 19200\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -1.1439621e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -1.3911867e+09 1.91e+05 2.08e+04 -1.0 2.80e+06 - 4.88e-04 8.93e-01f 1\n", + " 2 -1.4226254e+09 7.65e+03 1.26e+04 -1.0 4.95e+05 - 3.03e-03 9.90e-01f 1\n", + " 3 -1.4229845e+09 2.17e+02 7.47e+03 -1.0 9.81e+03 - 1.69e-01 9.72e-01h 1\n", + " 4 -1.4229865e+09 1.38e+02 1.11e+04 -1.0 1.41e+03 - 1.62e-02 3.69e-01f 1\n", + " 5 -1.4229958e+09 1.30e+01 2.94e+03 -1.0 4.67e+02 - 3.92e-01 9.90e-01h 1\n", + " 6 -1.4229964e+09 8.27e-01 6.37e+03 -1.0 4.32e+01 -4.0 1.62e-01 1.00e+00f 1\n", + " 7 -1.4230076e+09 1.15e+00 5.83e+03 -1.0 2.21e+03 -4.5 5.21e-03 3.88e-01f 2\n", + " 8 -1.4230369e+09 3.65e+00 5.45e+03 -1.0 5.79e+03 -5.0 8.46e-02 3.24e-01f 2\n", + " 9 -1.4230970e+09 1.90e+00 6.81e+03 -1.0 6.31e+03 - 1.27e-01 5.93e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -1.4231474e+09 1.54e+00 1.75e+04 -1.0 8.04e+03 - 1.45e-02 6.38e-01f 1\n", + " 11 -1.4231912e+09 7.52e-02 4.38e+04 -1.0 4.51e+03 - 1.05e-01 6.79e-01f 1\n", + " 12 -1.4232594e+09 3.57e-02 1.29e+05 -1.0 6.36e+03 - 1.04e-01 6.66e-01f 1\n", + " 13 -1.4233379e+09 1.48e-02 2.91e+05 -1.0 5.80e+03 - 1.12e-01 4.98e-01f 1\n", + " 14 -1.4234815e+09 7.78e-03 5.19e+05 -1.0 6.19e+03 - 1.08e-01 4.31e-01f 1\n", + " 15 -1.4237861e+09 3.34e-03 1.27e+06 -1.0 6.11e+03 - 1.05e-01 7.56e-01f 1\n", + " 16 -1.4239146e+09 2.35e-03 1.71e+06 -1.0 5.65e+03 - 1.31e-01 3.18e-01f 1\n", + " 17 -1.4242338e+09 1.15e-03 3.24e+06 -1.0 6.39e+03 - 9.76e-02 5.98e-01f 1\n", + " 18 -1.4244034e+09 7.59e-04 3.62e+06 -1.0 5.88e+03 - 1.26e-01 3.68e-01f 1\n", + " 19 -1.4246862e+09 4.06e-04 4.45e+06 -1.0 6.41e+03 - 1.04e-01 5.31e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 -1.4248156e+09 3.08e-04 4.17e+06 -1.0 6.14e+03 - 1.22e-01 2.58e-01f 1\n", + " 21 -1.4249636e+09 1.05e-01 3.78e+06 -1.0 6.92e+03 - 9.43e-02 2.75e-01f 1\n", + " 22 -1.4251311e+09 1.46e-01 3.41e+06 -1.0 6.76e+03 - 9.69e-02 3.19e-01f 1\n", + " 23 -1.4253820e+09 8.75e-02 3.46e+06 -1.0 7.09e+03 - 1.01e-01 4.75e-01f 1\n", + " 24 -1.4255052e+09 5.02e-02 3.10e+06 -1.0 3.20e+03 -5.4 1.77e-01 4.32e-01f 1\n", + " 25 -1.4256642e+09 4.89e-02 3.02e+06 -1.0 8.81e+03 - 7.12e-02 2.34e-01f 1\n", + " 26 -1.4258420e+09 4.53e-02 2.85e+06 -1.0 8.23e+03 - 9.27e-02 2.45e-01f 1\n", + " 27 -1.4260441e+09 4.15e-02 2.60e+06 -1.0 8.81e+03 - 8.97e-02 2.45e-01f 1\n", + " 28 -1.4262698e+09 5.68e-02 2.36e+06 -1.0 9.20e+03 - 8.98e-02 2.40e-01f 1\n", + " 29 -1.4265611e+09 1.86e-02 2.26e+06 -1.0 9.82e+03 - 8.81e-02 2.68e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30 -1.4269027e+09 2.95e-02 2.13e+06 -1.0 1.07e+04 - 9.08e-02 2.67e-01f 1\n", + " 31 -1.4272672e+09 3.12e-02 2.00e+06 -1.0 1.16e+04 - 8.96e-02 2.39e-01f 1\n", + " 32 -1.4275455e+09 1.94e-02 1.76e+06 -1.0 4.72e+03 -5.9 1.56e-01 3.81e-01f 1\n", + " 33 -1.4281819e+09 4.07e-02 1.66e+06 -1.0 1.59e+04 - 5.84e-02 2.68e-01f 1\n", + " 34 -1.4288614e+09 2.20e-02 1.51e+06 -1.0 8.47e+03 -6.4 1.30e-01 4.30e-01f 1\n", + " 35 -1.4299703e+09 5.72e-02 1.40e+06 -1.0 1.98e+04 - 7.33e-02 2.93e-01f 1\n", + " 36 -1.4316233e+09 6.87e-02 1.27e+06 -1.0 2.26e+04 - 8.74e-02 3.35e-01f 1\n", + " 37 -1.4341613e+09 5.58e-02 1.16e+06 -1.0 2.87e+04 - 8.82e-02 3.69e-01f 1\n", + " 38 -1.4381167e+09 4.28e-02 1.06e+06 -1.0 3.88e+04 - 8.44e-02 3.91e-01f 1\n", + " 39 -1.4445741e+09 3.03e-02 9.75e+05 -1.0 5.50e+04 - 8.35e-02 4.11e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40 -1.4457045e+09 7.31e-03 7.46e+05 -1.0 4.83e+03 -6.1 2.99e-01 7.36e-01f 1\n", + " 41 -1.4750315e+09 1.07e-01 7.33e+05 -1.0 1.24e+05 - 1.75e-02 7.42e-01f 1\n", + " 42 -1.5119193e+09 4.91e-02 6.78e+05 -1.0 2.14e+05 - 7.45e-02 4.53e-01f 1\n", + " 43 -1.5122883e+09 4.88e-02 5.91e+05 -1.0 1.76e+05 - 1.29e-01 5.75e-03f 1\n", + " 44 -1.5122965e+09 4.45e-02 3.24e+05 -1.0 4.05e+04 - 4.51e-01 6.65e-02f 1\n", + " 45 -1.5122969e+09 4.02e-05 1.61e+05 -1.0 5.71e+01 -3.9 5.73e-01 1.00e+00f 1\n", + " 46 -1.5123788e+09 1.62e-01 1.28e+05 -1.0 1.44e+05 - 2.05e-01 4.11e-01f 1\n", + " 47 -1.5123796e+09 6.02e-05 1.30e+03 -1.0 2.30e+01 -3.9 9.90e-01 1.00e+00f 1\n", + " 48 -1.5124183e+09 2.55e-04 1.28e+03 -1.0 5.37e+06 - 1.44e-02 1.66e-02f 1\n", + " 49 -1.5124191e+09 2.98e-06 1.29e+01 -1.0 2.31e+01 -4.0 9.90e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50 -1.5124240e+09 3.30e-04 2.93e+01 -1.0 5.16e+06 - 1.48e-02 1.84e-02f 1\n", + " 51 -1.5124260e+09 7.95e-04 1.38e+02 -1.0 2.23e+06 - 4.67e-02 2.39e-02f 1\n", + " 52 -1.5124268e+09 1.57e-03 3.63e+01 -1.0 4.51e+06 - 1.75e-02 3.49e-02f 1\n", + " 53 -1.5124268e+09 3.58e-07 4.05e-01 -1.0 5.53e-01 -2.3 9.97e-01 1.00e+00f 1\n", + " 54 -1.5124300e+09 7.55e-08 1.69e+06 -2.5 4.46e+00 -2.8 9.63e-01 7.89e-01f 1\n", + " 55 -1.5124317e+09 4.48e-08 1.08e+06 -2.5 1.20e+01 -3.2 6.21e-01 4.06e-01f 1\n", + " 56 -1.5124325e+09 3.92e-08 9.46e+05 -2.5 5.07e+01 -3.7 1.36e-01 1.26e-01f 1\n", + " 57 -1.5124330e+09 3.70e-08 8.93e+05 -2.5 1.62e+02 -4.2 5.90e-02 5.62e-02f 1\n", + " 58 -1.5124505e+09 5.92e-02 8.88e+05 -2.5 1.88e+06 - 5.70e-03 6.34e-03f 1\n", + " 59 -1.5124513e+09 5.40e-02 8.07e+05 -2.5 1.61e+02 -4.2 5.67e-02 8.69e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60 -1.5124594e+09 1.04e-01 8.05e+05 -2.5 1.12e+07 - 2.34e-03 4.57e-03f 1\n", + " 61 -1.5124645e+09 1.05e-01 8.03e+05 -2.5 3.72e+07 - 3.29e-03 3.19e-03f 1\n", + " 62 -1.5124723e+09 1.05e-01 8.01e+05 -2.5 2.41e+07 - 2.43e-03 5.69e-03f 1\n", + " 63 -1.5124725e+09 8.33e-02 6.86e+05 -2.5 2.83e+00 -2.5 6.43e-01 2.10e-01f 1\n", + " 64 -1.5124729e+09 1.04e-05 8.58e-03 -2.5 7.94e-01 -2.1 1.00e+00 1.00e+00f 1\n", + " 65 -1.5124731e+09 8.38e-06 1.86e+04 -3.8 4.72e+00 -2.6 2.65e-01 1.95e-01f 1\n", + " 66 -1.5124732e+09 7.55e-06 9.06e+03 -3.8 1.44e+01 -3.1 6.02e-02 9.95e-02f 1\n", + " 67 -1.5124734e+09 7.18e-06 1.75e+04 -3.8 3.89e+01 -3.5 9.63e-02 4.83e-02f 1\n", + " 68 -1.5124736e+09 6.83e-06 1.63e+04 -3.8 7.80e+01 -4.0 4.83e-02 4.98e-02f 1\n", + " 69 -1.5124758e+09 4.10e-03 1.63e+04 -3.8 1.78e+06 - 3.59e-03 8.89e-04f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70 -1.5124831e+09 8.94e-02 1.62e+04 -3.8 2.52e+06 - 2.03e-03 3.49e-03f 1\n", + " 71 -1.5124832e+09 8.70e-02 1.16e+04 -3.8 3.56e+01 -3.6 7.50e-04 2.71e-02f 1\n", + " 72 -1.5124834e+09 8.45e-02 1.09e+04 -3.8 8.32e+01 -4.1 2.59e-02 2.85e-02f 1\n", + " 73 -1.5124870e+09 8.97e-02 1.09e+04 -3.8 3.13e+06 - 2.46e-03 1.98e-03f 1\n", + " 74 -1.5124872e+09 8.70e-02 7.74e+03 -3.8 5.61e+02 -4.2 1.23e-02 3.03e-02f 1\n", + " 75 -1.5124872e+09 8.41e-02 2.32e+04 -3.8 8.23e+00 -2.8 1.36e-01 3.33e-02f 1\n", + " 76 -1.5124880e+09 8.42e-02 2.32e+04 -3.8 6.76e+06 - 2.41e-03 4.43e-04f 1\n", + " 77 -1.5124953e+09 9.08e-02 2.31e+04 -3.8 1.43e+07 - 2.11e-03 4.08e-03f 1\n", + " 78 -1.5124995e+09 9.18e-02 2.30e+04 -3.8 2.23e+07 - 4.49e-03 2.90e-03f 1\n", + " 79 -1.5124996e+09 8.92e-02 1.90e+04 -3.8 4.34e+01 -3.8 2.71e-03 2.81e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80 -1.5124996e+09 8.75e-02 2.49e+04 -3.8 1.83e+01 -3.4 6.63e-02 1.92e-02f 1\n", + " 81 -1.5124997e+09 8.42e-02 2.22e+04 -3.8 3.38e+01 -3.9 2.36e-02 3.77e-02f 1\n", + " 82 -1.5124998e+09 7.89e-02 1.75e+04 -3.8 1.64e+01 -3.5 3.56e-02 6.32e-02f 1\n", + " 83 -1.5124999e+09 7.52e-02 1.59e+04 -3.8 3.67e+01 -3.9 4.06e-02 4.70e-02f 1\n", + " 84 -1.5125034e+09 7.54e-02 1.58e+04 -3.8 5.37e+06 - 3.67e-03 2.51e-03f 1\n", + " 85 -1.5125035e+09 7.08e-02 1.84e+04 -3.8 7.40e+00 -3.1 9.25e-02 6.07e-02f 1\n", + " 86 -1.5125035e+09 6.57e-02 1.69e+04 -3.8 1.61e+01 -3.6 7.03e-02 7.22e-02f 1\n", + " 87 -1.5125035e+09 6.11e-02 2.29e+04 -3.8 7.72e+00 -3.1 1.47e-01 7.06e-02f 1\n", + " 88 -1.5125036e+09 5.93e-02 2.41e+04 -3.8 1.71e+01 -3.6 5.16e-02 2.88e-02f 1\n", + " 89 -1.5125036e+09 5.65e-02 2.34e+04 -3.8 6.83e+00 -3.2 5.43e-02 4.76e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90 -1.5125037e+09 5.07e-02 1.93e+04 -3.8 2.15e+01 -3.7 7.88e-02 1.03e-01f 1\n", + " 91 -1.5125037e+09 4.81e-02 2.20e+04 -3.8 8.80e+00 -3.3 1.07e-01 5.05e-02f 1\n", + " 92 -1.5125037e+09 4.50e-02 1.94e+04 -3.8 1.81e+01 -3.7 4.47e-02 6.44e-02f 1\n", + " 93 -1.5125037e+09 4.15e-02 1.98e+04 -3.8 7.32e+00 -3.3 1.11e-01 7.81e-02f 1\n", + " 94 -1.5125100e+09 4.19e-02 1.97e+04 -3.8 4.59e+06 - 2.18e-03 2.69e-03f 1\n", + " 95 -1.5125100e+09 3.58e-02 1.14e+04 -3.8 8.28e+00 -3.4 3.82e-02 1.47e-01f 1\n", + " 96 -1.5125101e+09 3.36e-02 1.28e+04 -3.8 2.22e+01 -3.8 1.02e-01 5.95e-02f 1\n", + " 97 -1.5125101e+09 3.03e-02 1.56e+04 -3.8 8.79e+00 -3.4 1.92e-01 9.78e-02f 1\n", + " 98 -1.5125101e+09 2.50e-02 1.55e+04 -3.8 3.39e+00 -3.0 2.53e-01 1.75e-01f 1\n", + " 99 -1.5125102e+09 2.18e-02 1.40e+04 -3.8 9.70e+00 -3.5 1.47e-01 1.29e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100 -1.5125102e+09 1.67e-02 1.04e+04 -3.8 3.75e+00 -3.0 2.22e-01 2.34e-01f 1\n", + " 101 -1.5125102e+09 1.53e-02 1.16e+04 -3.8 1.03e+01 -3.5 2.08e-01 8.55e-02f 1\n", + " 102 -1.5125103e+09 1.39e-02 1.22e+04 -3.8 2.76e+01 -4.0 2.05e-01 8.92e-02f 1\n", + " 103 -1.5125103e+09 1.27e-02 1.45e+04 -3.8 1.05e+01 -3.6 4.01e-01 8.54e-02f 1\n", + " 104 -1.5125161e+09 1.28e-02 1.45e+04 -3.8 3.97e+06 - 2.97e-04 1.07e-03f 1\n", + " 105 -1.5125162e+09 1.05e-02 1.33e+04 -3.8 1.09e+01 -3.6 4.14e-01 1.83e-01f 1\n", + " 106 -1.5125231e+09 1.06e-02 1.33e+04 -3.8 2.75e+06 - 4.97e-05 1.39e-03f 1\n", + " 107 -1.5125232e+09 9.26e-03 1.19e+04 -3.8 1.65e+01 -3.7 1.86e-01 1.25e-01f 1\n", + " 108 -1.5125232e+09 9.03e-03 1.20e+04 -3.8 3.28e+01 -4.1 1.64e-01 2.44e-02f 1\n", + " 109 -1.5125290e+09 9.09e-03 1.20e+04 -3.8 1.85e+06 - 1.70e-03 1.47e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110 -1.5125332e+09 9.12e-03 1.20e+04 -3.8 1.62e+06 - 1.68e-03 1.56e-03f 1\n", + " 111 -1.5125369e+09 9.35e-03 1.19e+04 -3.8 1.15e+06 - 3.18e-03 1.99e-03f 1\n", + " 112 -1.5125369e+09 8.39e-03 1.06e+04 -3.8 6.94e+00 -3.3 5.48e-02 1.02e-01f 1\n", + " 113 -1.5125409e+09 9.38e-03 1.05e+04 -3.8 4.69e+05 - 7.21e-03 3.33e-03f 1\n", + " 114 -1.5125439e+09 1.02e-02 1.05e+04 -3.8 2.31e+05 - 2.79e-03 4.87e-03f 1\n", + " 115 -1.5125439e+09 7.78e-03 7.79e+03 -3.8 5.55e+00 -3.0 1.62e-01 2.38e-01f 1\n", + " 116 -1.5125454e+09 9.79e-03 7.77e+03 -3.8 1.58e+05 - 2.43e-03 3.69e-03f 1\n", + " 117 -1.5125455e+09 3.42e-03 2.73e+03 -3.8 2.37e+00 -2.1 6.55e-01 6.51e-01f 1\n", + " 118 -1.5125455e+09 2.75e-03 2.32e+03 -3.8 1.01e+00 -2.6 3.65e-01 1.96e-01f 1\n", + " 119 -1.5125455e+09 2.21e-03 1.81e+03 -3.8 2.87e+00 -3.1 1.07e-01 1.99e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 120 -1.5125472e+09 3.14e-02 1.80e+03 -3.8 1.28e+05 - 4.82e-03 5.88e-03f 1\n", + " 121 -1.5125472e+09 2.15e-02 1.37e+03 -3.8 9.58e-01 -2.2 6.48e-01 3.16e-01f 1\n", + " 122 -1.5125472e+09 1.28e-02 8.11e+02 -3.8 1.21e+00 -2.7 3.40e-01 4.03e-01f 1\n", + " 123 -1.5125472e+09 1.08e-02 6.93e+02 -3.8 3.43e+00 -3.2 2.76e-01 1.59e-01f 1\n", + " 124 -1.5125493e+09 2.14e-02 6.91e+02 -3.8 9.17e+04 - 2.96e-03 1.15e-02f 1\n", + " 125 -1.5125493e+09 2.14e-02 6.87e+02 -3.8 4.60e+04 - 6.44e-03 4.21e-04f 1\n", + " 126 -1.5125494e+09 1.63e-02 6.25e+02 -3.8 1.77e+01 -2.8 3.22e-01 2.40e-01f 1\n", + " 127 -1.5125494e+09 1.37e-02 4.47e+02 -3.8 3.43e+00 -3.3 2.28e-01 1.60e-01f 1\n", + " 128 -1.5125495e+09 1.37e-02 4.47e+02 -3.8 3.83e+04 - 8.75e-04 2.00e-03f 1\n", + " 129 -1.5125495e+09 9.69e-03 7.06e+02 -3.8 5.25e-01 -2.4 7.97e-01 2.91e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 130 -1.5125495e+09 7.18e-03 7.20e+02 -3.8 1.37e+00 -2.9 7.69e-01 2.59e-01f 1\n", + " 131 -1.5125501e+09 7.13e-03 7.16e+02 -3.8 3.28e+04 - 1.24e-03 8.76e-03f 1\n", + " 132 -1.5125507e+09 1.07e-02 7.09e+02 -3.8 2.91e+04 - 9.94e-03 9.80e-03f 1\n", + " 133 -1.5125507e+09 6.05e-03 1.49e+03 -3.8 4.56e+00 -2.5 1.00e+00 4.39e-01f 1\n", + " 134 -1.5125508e+09 6.16e-03 1.47e+03 -3.8 1.79e+04 - 1.23e-02 4.25e-03f 1\n", + " 135 -1.5125511e+09 6.38e-03 1.47e+03 -3.8 1.55e+04 - 3.99e-03 8.75e-03f 1\n", + " 136 -1.5125511e+09 1.17e-03 2.01e+02 -3.8 2.27e-01 -2.1 9.95e-01 8.17e-01f 1\n", + " 137 -1.5125511e+09 6.13e-04 9.84e+01 -3.8 6.01e-01 -2.6 1.00e+00 4.74e-01f 1\n", + " 138 -1.5125515e+09 9.16e-03 9.97e+01 -3.8 1.39e+04 - 2.89e-03 1.91e-02f 1\n", + " 139 -1.5125515e+09 4.91e-03 6.77e+01 -3.8 5.87e-01 -2.7 1.00e+00 4.64e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 140 -1.5125515e+09 4.71e-04 6.60e+00 -3.8 2.09e-01 -2.2 1.00e+00 9.04e-01f 1\n", + " 141 -1.5125515e+09 1.97e-04 3.93e+01 -3.8 5.33e-01 -2.7 1.00e+00 5.81e-01f 1\n", + " 142 -1.5125516e+09 1.11e-03 3.93e+01 -3.8 9.88e+03 - 1.08e-02 7.31e-03f 1\n", + " 143 -1.5125518e+09 4.55e-03 3.97e+01 -3.8 1.05e+04 - 1.80e-02 8.96e-03f 1\n", + " 144 -1.5125518e+09 4.54e-03 3.92e+01 -3.8 1.73e+04 - 5.04e-03 7.40e-03f 1\n", + " 145 -1.5125518e+09 1.89e-03 1.54e+02 -3.8 1.32e+00 -2.8 1.00e+00 5.96e-01f 1\n", + " 146 -1.5125518e+09 2.55e-06 3.10e-03 -3.8 1.88e-01 -2.4 1.00e+00 1.00e+00f 1\n", + " 147 -1.5125520e+09 4.26e-03 2.25e+01 -3.8 1.53e+04 - 9.52e-03 1.65e-02f 1\n", + " 148 -1.5125521e+09 6.85e-03 5.78e+01 -3.8 1.43e+04 - 4.45e-03 1.53e-02f 1\n", + " 149 -1.5125521e+09 5.44e-03 4.57e+01 -3.8 7.46e-01 -2.9 2.08e-01 2.06e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 150 -1.5125521e+09 2.55e-03 1.38e+01 -3.8 2.09e-01 -2.5 1.00e+00 5.32e-01f 1\n", + " 151 -1.5125522e+09 2.76e-03 1.36e+01 -3.8 1.13e+04 - 1.73e-02 5.89e-03f 1\n", + " 152 -1.5125522e+09 3.59e-03 1.36e+01 -3.8 1.50e+04 - 5.32e-03 1.31e-02f 1\n", + " 153 -1.5125522e+09 2.49e-03 3.26e+01 -3.8 7.16e-01 -3.0 1.00e+00 3.06e-01f 1\n", + " 154 -1.5125522e+09 3.79e-06 5.19e-04 -3.8 2.09e-01 -2.6 1.00e+00 1.00e+00f 1\n", + " 155 -1.5125523e+09 1.82e-06 1.65e+03 -5.7 7.12e-01 -3.1 6.31e-01 5.20e-01f 1\n", + " 156 -1.5125523e+09 3.39e-04 1.65e+03 -5.7 2.78e+04 - 4.26e-03 4.33e-03f 1\n", + " 157 -1.5125523e+09 2.33e-04 2.02e+03 -5.7 7.82e-01 -3.1 4.72e-01 3.12e-01f 1\n", + " 158 -1.5125523e+09 2.36e-04 2.01e+03 -5.7 3.63e+04 - 1.88e-03 3.40e-04f 1\n", + " 159 -1.5125524e+09 4.02e-04 2.01e+03 -5.7 3.06e+04 - 2.30e-03 2.88e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 160 -1.5125524e+09 4.08e-04 2.00e+03 -5.7 4.08e+04 - 3.23e-03 8.47e-04f 1\n", + " 161 -1.5125525e+09 4.63e-04 1.99e+03 -5.7 4.44e+04 - 3.31e-03 3.30e-03f 1\n", + " 162 -1.5125525e+09 1.58e-04 1.17e+03 -5.7 2.20e-01 -1.9 7.15e-02 6.58e-01f 1\n", + " 163 -1.5125525e+09 1.09e-04 8.54e+02 -5.7 1.55e-01 -2.4 6.78e-01 3.12e-01f 1\n", + " 164 -1.5125525e+09 7.88e-05 6.27e+02 -5.7 4.51e-01 -2.9 4.63e-01 2.75e-01f 1\n", + " 165 -1.5125526e+09 1.13e-03 6.29e+02 -5.7 1.22e+05 - 4.02e-04 1.49e-03f 1\n", + " 166 -1.5125526e+09 1.12e-03 6.30e+02 -5.7 1.19e+05 - 1.75e-04 9.70e-04f 1\n", + " 167 -1.5125526e+09 9.59e-04 8.68e+02 -5.7 3.34e+01 -3.4 1.88e-02 1.53e-01f 1\n", + " 168 -1.5125527e+09 9.61e-04 8.67e+02 -5.7 1.14e+05 - 2.47e-04 1.19e-03f 1\n", + " 169 -1.5125527e+09 9.62e-04 8.67e+02 -5.7 8.46e+04 - 1.09e-03 7.62e-05f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 170 -1.5125527e+09 9.65e-04 8.66e+02 -5.7 8.56e+04 - 7.78e-04 1.36e-03f 1\n", + " 171 -1.5125528e+09 9.66e-04 8.66e+02 -5.7 7.74e+04 - 1.14e-03 3.60e-04f 1\n", + " 172 -1.5125528e+09 9.70e-04 8.64e+02 -5.7 7.61e+04 - 7.42e-04 1.81e-03f 1\n", + " 173 -1.5125528e+09 9.73e-04 8.63e+02 -5.7 5.12e+04 - 2.38e-03 1.31e-03f 1\n", + " 174 -1.5125529e+09 9.75e-04 8.62e+02 -5.7 2.27e+04 - 3.58e-03 1.10e-03f 1\n", + " 175 -1.5125529e+09 9.80e-04 8.61e+02 -5.7 1.78e+04 - 3.10e-03 2.18e-03f 1\n", + " 176 -1.5125529e+09 9.07e-04 7.97e+02 -5.7 1.82e+00 -3.2 8.36e-02 7.46e-02f 1\n", + " 177 -1.5125529e+09 9.07e-04 7.97e+02 -5.7 1.55e+04 - 9.31e-04 4.08e-05f 1\n", + " 178 -1.5125529e+09 9.15e-04 7.94e+02 -5.7 1.74e+04 - 2.04e-03 3.69e-03f 1\n", + " 179 -1.5125529e+09 9.20e-04 7.93e+02 -5.7 1.35e+04 - 3.60e-03 2.21e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 180 -1.5125529e+09 9.28e-04 7.90e+02 -5.7 1.02e+04 - 4.85e-03 3.82e-03f 1\n", + " 181 -1.5125529e+09 4.29e-04 3.38e+02 -5.7 5.45e-02 -1.9 2.91e-01 5.37e-01f 1\n", + " 182 -1.5125529e+09 3.29e-04 2.70e+02 -5.7 1.56e-01 -2.4 3.62e-01 2.32e-01f 1\n", + " 183 -1.5125529e+09 3.29e-04 2.70e+02 -5.7 7.96e+03 - 4.21e-03 1.83e-04f 1\n", + " 184 -1.5125529e+09 3.24e-04 2.69e+02 -5.7 3.80e+00 -3.4 9.24e-02 1.67e-02f 1\n", + " 185 -1.5125529e+09 3.24e-04 2.69e+02 -5.7 9.20e+03 - 4.71e-04 2.43e-04f 1\n", + " 186 -1.5125530e+09 3.24e-04 2.68e+02 -5.7 8.74e+03 - 3.52e-03 1.60e-03f 1\n", + " 187 -1.5125530e+09 2.76e-04 2.28e+02 -5.7 5.18e-01 -3.0 1.35e-01 1.47e-01f 1\n", + " 188 -1.5125530e+09 2.76e-04 2.28e+02 -5.7 6.77e+03 - 2.61e-03 9.25e-04f 1\n", + " 189 -1.5125530e+09 2.76e-04 2.27e+02 -5.7 5.22e+03 - 2.18e-03 6.28e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 190 -1.5125530e+09 2.53e-04 2.10e+02 -5.7 1.42e+00 -3.5 1.34e-01 8.37e-02f 1\n", + " 191 -1.5125530e+09 2.53e-04 2.09e+02 -5.7 3.17e+03 - 2.95e-03 3.77e-03f 1\n", + " 192 -1.5125530e+09 2.52e-04 2.08e+02 -5.7 2.09e+03 - 7.37e-03 3.99e-03f 1\n", + " 193 -1.5125530e+09 2.52e-04 2.07e+02 -5.7 1.38e+03 - 1.65e-02 7.13e-03f 1\n", + " 194 -1.5125530e+09 2.51e-04 2.04e+02 -5.7 6.98e+02 - 1.14e-02 1.13e-02f 1\n", + " 195 -1.5125530e+09 2.51e-04 2.03e+02 -5.7 4.54e+02 - 3.16e-02 6.86e-03f 1\n", + " 196 -1.5125530e+09 2.46e-04 1.92e+02 -5.7 2.87e+02 - 3.01e-02 5.51e-02f 1\n", + " 197 -1.5125530e+09 2.42e-04 1.83e+02 -5.7 7.60e+01 - 5.03e-02 4.46e-02f 1\n", + " 198 -1.5125530e+09 2.04e-04 1.55e+02 -5.7 1.46e-01 -2.8 1.77e-01 1.56e-01f 1\n", + " 199 -1.5125530e+09 1.97e-04 1.49e+02 -5.7 3.71e+01 - 3.15e-02 4.25e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 200 -1.5125530e+09 1.42e-04 1.36e+02 -5.7 2.32e+01 - 8.01e-02 1.05e-01f 1\n", + " 201 -1.5125530e+09 1.43e-04 1.19e+02 -5.7 7.38e+00 - 1.15e-01 1.33e-01f 1\n", + " 202 -1.5125530e+09 1.44e-04 1.11e+02 -5.7 4.86e+00 - 1.07e-01 4.95e-02f 1\n", + " 203 -1.5125530e+09 1.57e-04 9.24e+01 -5.7 4.02e+00 - 1.86e-01 1.69e-01f 1\n", + " 204 -1.5125530e+09 2.90e-04 6.52e+01 -5.7 2.63e+00 - 2.15e-01 2.86e-01f 1\n", + " 205 -1.5125530e+09 3.99e-04 5.87e+01 -5.7 1.97e+00 - 2.99e-01 1.54e-01f 1\n", + " 206 -1.5125530e+09 6.66e-04 2.50e+01 -5.7 2.02e+00 - 3.02e-01 5.02e-01f 1\n", + " 207 -1.5125530e+09 2.31e-05 2.10e+01 -5.7 3.35e-01 -3.9 8.83e-01 1.00e+00f 1\n", + " 208 -1.5125530e+09 2.08e-05 2.20e+01 -5.7 5.70e+00 - 1.82e-01 1.02e-01h 1\n", + " 209 -1.5125530e+09 5.03e-06 1.13e+01 -5.7 4.57e+00 - 2.51e-01 7.59e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 210 -1.5125530e+09 1.16e-07 1.37e+01 -5.7 2.66e+00 - 4.28e-01 9.77e-01f 1\n", + " 211 -1.5125530e+09 1.04e-07 4.18e+00 -5.7 2.04e+00 -3.5 1.00e+00 1.01e-01f 2\n", + " 212 -1.5125530e+09 1.88e-06 2.09e-01 -5.7 2.07e+00 - 5.40e-01 1.00e+00h 1\n", + " 213 -1.5125530e+09 2.65e-07 2.29e-02 -5.7 2.37e+00 - 9.05e-01 8.59e-01h 1\n", + " 214 -1.5125530e+09 5.79e-10 9.57e-11 -5.7 1.40e+00 - 1.00e+00 1.00e+00f 1\n", + " 215 -1.5125530e+09 6.41e-10 3.20e-01 -7.0 2.11e+00 - 7.02e-01 7.01e-01f 1\n", + " 216 -1.5125530e+09 5.79e-10 2.01e+01 -7.0 1.10e+00 - 1.00e+00 6.17e-01f 1\n", + " 217 -1.5125530e+09 7.26e-10 4.28e-07 -7.0 6.59e-01 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 217\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -1.3791807263071379e+08 -1.5125530192639432e+09\n", + "Dual infeasibility......: 4.2799067815583546e-07 4.6937908869621736e-06\n", + "Constraint violation....: 1.1641532182693481e-10 7.2564620978710082e-10\n", + "Variable bound violation: 9.3490329651068488e-09 9.3490329651068488e-09\n", + "Complementarity.........: 1.0479753338544475e-07 1.1493187405395078e-06\n", + "Overall NLP error.......: 4.2799067815583546e-07 4.6937908869621736e-06\n", + "\n", + "\n", + "Number of objective function evaluations = 227\n", + "Number of objective gradient evaluations = 218\n", + "Number of equality constraint evaluations = 227\n", + "Number of inequality constraint evaluations = 227\n", + "Number of equality constraint Jacobian evaluations = 218\n", + "Number of inequality constraint Jacobian evaluations = 218\n", + "Number of Lagrangian Hessian evaluations = 217\n", + "Total seconds in IPOPT = 3247.574\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 1060806, 'Number of variables': 1056009, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 3280.080867290497}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# pyomo expression for full metric wtih scenario weights applied\n", + "TEALMetric = sum( m.weights_scenarios[n] * scenario['NPV'] \n", + " for n, scenario in enumerate(metrics_list) )\n", + "\n", + "# Define the objective function\n", + "m.obj = Objective(expr=TEALMetric, sense=maximize)\n", + "\n", + "# Define the solver object. Using the default solver: IPOPT\n", + "solver = get_solver()\n", + "\n", + "# Solve the optimization problem0\n", + "solver.solve(m, tee=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "civil-celebration", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optimal PEM capacity : 196.26160220383377 MW\n", + "Optimal tank capacity : 0.01451578333935298 kg\n", + "Optimal turbine capacity: 9.076526259296586e-05 MW\n" + ] + } + ], + "source": [ + "# Print Results\n", + "print(\"Optimal PEM capacity : \", m.pem_capacity.value * 1e-3, \"MW\")\n", + "print(\"Optimal tank capacity : \", m.tank_capacity.value * 2.016e-3, \"kg\")\n", + "print(\"Optimal turbine capacity: \", m.h2_turbine_capacity.value * 1e-6, \"MW\")" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "protecting-asthma", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "generate_plots(m.scenario[0], d=8, y=2022, set_time=m.set_time, lmp=m.LMP[0])" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.7.12 ('raven_libraries')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.13" + }, + "vscode": { + "interpreter": { + "hash": "6d0acf42cb0fb1bfbd1a977660e9dbc5c6cac802e2d2bc70e5030ba691b903ab" + } + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALwSynhist.ipynb b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALwSynhist.ipynb deleted file mode 100644 index 8e8881275..000000000 --- a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALwSynhist.ipynb +++ /dev/null @@ -1,1606 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "naval-employment", - "metadata": {}, - "source": [ - "# Integrated Energy Systems: Nuclear Case Study with TEAL Cashflows\n" - ] - }, - { - "cell_type": "markdown", - "id": "052896d1", - "metadata": {}, - "source": [ - "Before running this notebook, we have to get RAVEN and DISPATCHES to play along together. \n", - "The easiest way, as of 8/19/2022, is to first install RAVEN and all its dependencies into a dedicated conda environment. \n", - "Then install DISPATCHES within that environment. Installation guides for [RAVEN](github.com:idaholab/raven.git) and [DISPATCHES](https://github.com/gmlc-dispatches/dispatches) can be found in their respective Github repositories, but the major steps are summarized below:\n", - "\n", - " ```bash\n", - " # assuming git cloning with SSH key, can substitute HTML cloning\n", - " git clone git@github.com:idaholab/raven.git\n", - " git clone git@github.com:gmlc-dispatches/dispatches.git\n", - "\n", - " cd raven\n", - "\n", - " # if you haven't installed RAVEN yet:\n", - " ./scripts/establish_conda_env.sh --install\n", - " # else, activate the environment\n", - " conda activate raven_libraries\n", - "\n", - " # load raven libraries (if on Windows and using Anaconda Prompt, run 'conda install m2-base' to get sh command)\n", - " sh ./scripts/establish_conda_env.sh --load\n", - "\n", - " cd ../dispatches \n", - "\n", - " # usually got an SSL certificate error, fix is to add github to trusted hosts\n", - " python -m pip install -r requirements-dev.txt --trusted-host=codeload.github.com\n", - "\n", - " ```\n", - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "automated-antigua", - "metadata": {}, - "outputs": [ - { - "ename": "SyntaxError", - "evalue": "invalid syntax (3084436293.py, line 4)", - "output_type": "error", - "traceback": [ - "\u001b[1;36m Input \u001b[1;32mIn [5]\u001b[1;36m\u001b[0m\n\u001b[1;33m sys.path.append(C:\\projects\\raven)\u001b[0m\n\u001b[1;37m ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n" - ] - } - ], - "source": [ - "# General python imports\n", - "import json\n", - "\n", - "sys.path.append(C:\\projects\\raven)\n", - "\n", - "# Pyomo imports\n", - "from pyomo.environ import (ConcreteModel,\n", - " RangeSet,\n", - " Var,\n", - " NonNegativeReals,\n", - " Constraint,\n", - " Expression,\n", - " Objective,\n", - " maximize,\n", - " units as pyunits)\n", - "\n", - "# IDAES imports\n", - "from idaes.core.solvers import get_solver\n", - "from idaes.core.util.model_statistics import degrees_of_freedom\n", - "\n", - "# Nuclear flowsheet function imports\n", - "from dispatches.case_studies.nuclear_case.nuclear_flowsheet import (build_ne_flowsheet,\n", - " fix_dof_and_initialize)\n", - "\n", - "# Import function for the construction of the multiperiod model\n", - "from dispatches.case_studies.nuclear_case.multiperiod import (\n", - " build_multiperiod_design,\n", - " plot_lmp_and_schedule)" - ] - }, - { - "cell_type": "markdown", - "id": "72522d0d", - "metadata": {}, - "source": [ - "### TEAL: Adding TEAL to path and importing Cashflows \n", - "\n", - "Note you have to run this using the *raven_libraries* Python environment for now. Within that environment, you should install *dispatches*" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e3e331c5", - "metadata": {}, - "outputs": [], - "source": [ - "import os.path as path \n", - "import os, sys\n", - "cwd = os.getcwd()\n", - "proj_dir = path.dirname( path.abspath( path.join(cwd, '../../..') ) )\n", - "TEAL_dir = path.abspath( path.join(proj_dir, 'TEAL') )\n", - "raven_dir = path.abspath( path.join(proj_dir, 'raven') )\n", - "sys.path.append( proj_dir )\n", - "sys.path.append( TEAL_dir )\n", - "sys.path.append( raven_dir )\n", - "sys.path.append( path.abspath( path.join(TEAL_dir, 'src') ) )\n", - "\n", - "from TEAL.src import CashFlows\n", - "from TEAL.src import main as RunCashFlow" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "690496c3", - "metadata": {}, - "outputs": [], - "source": [ - "cwd\n", - "proj_dir\n", - "TEAL_dir\n", - "raven_dir" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3457bc50", - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "import os\n", - "import numpy as np\n", - "import cloudpickle as pk\n", - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "\n", - "\n", - "\n", - "# add romLoader to path\n", - "sys.path.append(path.abspath(path.join(raven_dir, 'scripts')))\n", - "sys.path.append(path.abspath(path.join(raven_dir, 'plugins')))\n", - "sys.path.append(raven_dir)\n", - "from ravenframework.utils import xmlUtils\n", - "import externalROMloader\n", - "\n", - "#create\n", - "targetFile = \"C:/projects/arma.pk\"\n", - "runner = externalROMloader.ravenROMexternal(targetFile, raven_dir)\n", - "\n", - "#run\n", - "inp = {'scaling': [1]}" - ] - }, - { - "cell_type": "markdown", - "id": "centered-tamil", - "metadata": {}, - "source": [ - "## Simulation of the Flowsheet\n", - "\n", - "Before we formulate the multiperiod optimization problem, we first simulate the nuclear flowsheet and print some results. This helps the reader to familiarize themselves with the names, along with their default units, of a few important variables. The readers are encouraged to go through the `nuclear_flowsheet.py` script. It contains the function `build_ne_flowsheet` which assembles models for all the units in the flowsheet, and connects them via `Arc` objects. It also contains the function `fix_dof_and_initialize` which fixes the degrees of freedom and initializes the entire flowsheet.\n", - "\n", - "The flowsheet has four degrees of freedom viz.,\n", - "\n", - "- Split fraction of electricity to the grid in the power splitter (variable `m.fs.np_power_split.split_fraction[\"np_to_grid\", 0]` in the model). We fix this variable to 0.8.\n", - "- Molar flowrate of hydrogen to the pipeline (variable `m.fs.h2_tank.outlet_to_pipeline.flow_mol[0]`). We fix this variable to 10 mol/s.\n", - "- Molar flowrate of hydrogen to the turbine (variable `m.fs.h2_tank.outlet_to_turbine.flow_mol[0]`). We fix this variable to 10 mol/s.\n", - "- Initial holdup of hydrogen in the tank (variable `m.fs.h2_tank.tank_holdup_previous[0]`). We fix this variable to 0 mol.\n", - "\n", - "These variables are fixed in the `fix_dof_and_initialize` function. In addition to the above three variables, we also fix the variables shown in the table below. We do not refer these variables as degrees of freedom, because they remain fixed at these values in the multiperiod optimization model.\n", - "\n", - "| Name | Variable | Value |\n", - "| :- | :- | :-: |\n", - "| Pressure difference across `h2_turbine`'s compressor | `m.fs.h2_turbine.compressor.deltaP` | 24.01 bar |\n", - "| Isentropic efficiency of `h2_turbine`'s compressor | `m.fs.h2_turbine.compressor.efficiency_isentropic` | 0.86 |\n", - "| Conversion of hydrogen in `h2_turbine`'s reactor | `m.fs.h2_turbine.stoic_reactor.conversion` | 0.99 |\n", - "| Pressure deifference across `h2_turbine`'s turbine | `m.fs.h2_turbine.turbine.deltaP` | -24.01 bar |\n", - "| Isentripic efficiency of `h2_turbine`'s turbine | `m.fs.h2_turbine.turbine.efficiency_isentropic` | 0.89 |\n", - "| Molar flow rate of air to `h2_turbine` | `m.fs.mixer.air_feed.flow_mol[0]` | 10.76 * molar flowrate of hydrogen to turbine |\n", - "| Temperature of air | `m.fs.mixer.air_feed.temperature[0]` | 300 K |\n", - "| Pressure of air | `m.fs.mixer.air_feed_pressure[0]` | 1.01325 bar |\n", - "| Duration of the simulation for `h2_tank` | `m.fs.h2_tank.dt` | 3600 s |\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "annoying-myrtle", - "metadata": { - "scrolled": false - }, - "outputs": [], - "source": [ - "# Create a concrete model object\n", - "m = ConcreteModel()\n", - "\n", - "# Build the nuclear flowsheet\n", - "build_ne_flowsheet(m)\n", - "\n", - "# Fix the degrees of freedom and initialize\n", - "fix_dof_and_initialize(m)\n", - "\n", - "# Ensure that the resulting model is a square problem i.e., its degrees of freedom must be 0\n", - "print(\"Degrees of freedom: \", degrees_of_freedom(m))\n", - "assert degrees_of_freedom(m) == 0\n", - "\n", - "# Create a solver object with the default solver (IPOPT)\n", - "solver = get_solver()\n", - "\n", - "# Simulate the entire flowsheet\n", - "solver.solve(m, tee=True)" - ] - }, - { - "cell_type": "markdown", - "id": "average-replacement", - "metadata": {}, - "source": [ - "Verify that IPOPT converges to the optimal solution. Next, we print some results. Note the names of the variables and their default units (we use Pyomo's `units`, imported as `pyunits`, to obtain the units of a variable). Units are needed to correctly define the cash flow expressions later." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "animal-astronomy", - "metadata": {}, - "outputs": [], - "source": [ - "def get_units(obj):\n", - " return str(pyunits.get_units(obj))\n", - "\n", - "# Print results: power splitter\n", - "print(\"Nuclear plant power production : \", m.fs.np_power_split.electricity[0].value,\n", - " get_units(m.fs.np_power_split.electricity[0]))\n", - "print(\"Electricity to grid : \", m.fs.np_power_split.np_to_grid_port.electricity[0].value,\n", - " get_units(m.fs.np_power_split.np_to_grid_port.electricity[0]))\n", - "print(\"Electricity to PEM : \", m.fs.np_power_split.np_to_pem_port.electricity[0].value,\n", - " get_units(m.fs.np_power_split.np_to_pem_port.electricity[0]))\n", - "print()\n", - "\n", - "# Print results: PEM electrolyzer\n", - "print(\"Flowrate of H2 from pem : \", m.fs.pem.outlet.flow_mol[0].value,\n", - " get_units(m.fs.pem.outlet.flow_mol[0]))\n", - "print()\n", - "\n", - "# Print results: Hydrogen tank\n", - "print(\"Flowrate of H2 to tank : \", m.fs.h2_tank.inlet.flow_mol[0].value,\n", - " get_units(m.fs.h2_tank.inlet.flow_mol[0]))\n", - "print(\"Flowrate of H2 to pipeline : \", m.fs.h2_tank.outlet_to_pipeline.flow_mol[0].value,\n", - " get_units(m.fs.h2_tank.outlet_to_pipeline.flow_mol[0]))\n", - "print(\"Flowrate of H2 to turbine : \", m.fs.h2_tank.outlet_to_turbine.flow_mol[0].value,\n", - " get_units(m.fs.h2_tank.outlet_to_turbine.flow_mol[0]))\n", - "print(\"Initial tank holdup : \", m.fs.h2_tank.tank_holdup_previous[0].value,\n", - " get_units(m.fs.h2_tank.tank_holdup_previous[0]))\n", - "print(\"Tank holdup at the end of 1 hr : \", m.fs.h2_tank.tank_holdup[0].value,\n", - " get_units(m.fs.h2_tank.tank_holdup[0]))\n", - "\n", - "# Print results: Hydrogen Turbine\n", - "print(\"H2 Turbine's compressor work : \", m.fs.h2_turbine.compressor.work_mechanical[0].value,\n", - " get_units(m.fs.h2_turbine.compressor.work_mechanical[0]))\n", - "print(\"H2 Turbine's turbine work : \", m.fs.h2_turbine.turbine.work_mechanical[0].value,\n", - " get_units(m.fs.h2_turbine.turbine.work_mechanical[0]))\n", - "print(\"Net power produced by turbine : \", (- m.fs.h2_turbine.turbine.work_mechanical[0].value\n", - " - m.fs.h2_turbine.compressor.work_mechanical[0].value),\n", - " get_units(m.fs.h2_turbine.compressor.work_mechanical[0]))" - ] - }, - { - "cell_type": "markdown", - "id": "accessory-paris", - "metadata": {}, - "source": [ - "Observe that the power variables in the power splitter model and the PEM electrolyzer model use kW. Whereas, the power variables (mechanical work) use in the hydrogen turbine model use W. This complete the simulation of the flowsheet. Before proceeding further, we delete the object `m` to avoid confusion" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "guilty-appliance", - "metadata": {}, - "outputs": [], - "source": [ - "# Delete the object containing the flowsheet\n", - "del m" - ] - }, - { - "cell_type": "markdown", - "id": "alert-packing", - "metadata": {}, - "source": [ - "## Multiperiod Optimization Model: Deterministic\n", - "\n", - "### LMP Signal\n", - "Our objective is to determine the optimal size of the PEM, tank and turbine maximizing the NPV for a given 'market signal'. Throughout the notebook, by market signal or price signal, we refer to the locational marginal price (LMP) (selling price of electricity, in $/MWh) as a function of time. The LMP depends on several factors such as weather, demand, generator mix of the grid, and so forth. Owing to the uncertain nature of some those factors, it is not possible to predict the exact value of the LMP way into the future. Nevertheless, in this section, we **assume that the LMP signal is accurate** (i.e., there is no uncertainty in the price). Later, we show how the same framework/workflow can be used to easily formulate a stochastic program to handle the uncertainty in the price signal. \n", - "\n", - "Here, we use the LMP data contained in the file `lmp_signal.json`. This dataset is generated by FORCE (link goes here) using the 2019/2020 New York Independent System Operator (NYISO) price data. FORCE divides the 365 days of a year into a specified number of clusters (20, in our case), and generates the LMP signal for each cluster (Note that the LMP signal is the same for all the days of a cluster). The figure below plots the LMP signal for cluster 1 (left) and cluster 8.\n", - "\n", - "![](sample_lmp_plots.png)\n", - "\n", - "As evident from the figure, the price can vary significantly in a day, and from cluster to cluster. Given the variation, we are interested in determining if producing hydrogen, especially during the periods when LMP is low, is attractive or not. \n", - "\n", - "For the demonstration, we do not use the entire dataset in `lmp_signal.json`. Instead, we use the LMP signal only for the years 2022 and 2032. We assume that the plant lifetime is twenty years. We use the 2022 LMP signal for the first ten years (i.e., 2022 - 2031), and the 2032 LMP signal for the next ten years (i.e., 2032 - 2041). If desired, the LMP data for the intermediate years can be easily included in the model with a slight modification to the code." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "involved-skill", - "metadata": {}, - "outputs": [], - "source": [ - "# Sample the external ROMloader\n", - "for i in range(5):\n", - " lmp_dataset = runner.evaluate(inp)[0]\n", - "\n", - "#plot\n", - "n_rows=5\n", - "n_cols=2\n", - "fig, axes = plt.subplots(n_rows, n_cols)\n", - "flat_ax = axes.flatten() \n", - "\n", - "for i in range(10):\n", - " res = runner.evaluate(inp)[0]\n", - " for y, time in enumerate(res['Signal']):\n", - " print(y, time)\n", - " ax=flat_ax[y]\n", - " ax.plot(res['Signal'][y], label=i)\n", - " ax.legend()\n", - "\n", - "ax.set_ylabel('Signal')\n", - "ax.set_xlabel('Time')\n", - "plt.show()\n", - " \n", - "# Gather the LMP data needed for the deterministic case\n", - "# Notation: lmp_dataset[scenario][year][cluster/day][time/hour]\n", - "syn_histories = {year: {cluster: {hour: lmp_dataset[\"0\"][str(year)][str(cluster)][str(hour)]\n", - " for hour in range(1, 25)} \n", - " for cluster in range(1, 21)}\n", - " for year in [2022, 2032]}\n", - "\n", - "# Size of each cluster/number of days in a year represented by the cluster\n", - "weights_days = {year: {cluster: lmp_dataset[str(0)][str(year)][str(cluster)][\"num_days\"]\n", - " for cluster in range(1, 21)}\n", - " for year in [2022, 2032]}\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c8753800", - "metadata": {}, - "outputs": [], - "source": [ - "lmp_dataset['_indexMap']" - ] - }, - { - "cell_type": "markdown", - "id": "boxed-pattern", - "metadata": {}, - "source": [ - "Now, we formulate the multi-period price-taker problem to determine the optimal design and operating decisions maximizing the NPV. The optimization problem is of the form\n", - "$$ \\begin{aligned}\n", - "\\max_{D, u_{t, d}} \\quad & \\text{NPV}(D, u_{t, d})\\\\\n", - "& g(u_{t, d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", - "& h(u_{t, d}) \\le 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", - "& f(u_{t-1,d}, u_{t,d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", - "& u_{t,d} \\le D, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}\n", - "\\end{aligned}$$\n", - "\n", - "Here, the sets $\\mathcal{T} = \\{1, \\dots, 24\\}$ and $\\mathcal{C} = \\{1, \\dots, 20\\}$ denote the set of hours in a day and the set of clusters/days in a year, respectively. $D$ denotes the design decisions (or, first-stage variables) viz. size of the PEM electrolyzer (`pem_capacity`), tank (`tank_capacity`) and the turbine (`turbine_capacity`). $u_{t, d}$ denotes the operating decisions (or, second-stage decisions) at time $t$ of day/cluster $d$. $g(u_{t, d}) = 0$ and $h(u_{t,d}) \\le 0$ denote the flowsheet model, $f(u_{t-1,d}, u_{t,d}) = 0$ connects the operating decisions at time $t-1$ and at time $t$ (e.g., tank holdup), and $u_{t,d} \\le D$ ensures that the operating decision values never exceed the design capacity values (e.g., tank holdup at any time instant must not exceed the tank capacity).\n", - "\n", - "First, we create a `ConcreteModel` object, and define sets and parameters" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "driven-allah", - "metadata": {}, - "outputs": [], - "source": [ - "# Create a ConcreteModel object\n", - "m = ConcreteModel()\n", - "\n", - "# Define sets\n", - "m.set_time = RangeSet(24) # twenty fours in a day\n", - "m.set_days = RangeSet(20) # twenty clusters/days per year\n", - "m.set_years = [2022, 2032] # Set of years\n", - "\n", - "# Define parameters\n", - "m.plant_life = 20 # Plant lifetime: 20 years\n", - "m.tax_rate = 0.2 # Corporate tax rate: 20%\n", - "m.discount_rate = 0.08 # Discount rate: 8%\n", - "m.h2_price = 3 # Selling price of hydrogen: $3/kg\n", - "m.h2_demand = 1 # Maximum amount of hydrogen that can be sold: 1 kg/s\n", - "m.LMP = syn_histories # LMP signal\n", - "m.weights_days = weights_days # number of days represented by each cluster" - ] - }, - { - "cell_type": "markdown", - "id": "167b5f29", - "metadata": {}, - "source": [ - "This might be a temporary cell, but checking to see if the amount of years supplied by the LMP data match the desired project length/plant life.\n", - "In the future, project length and plant lifetime should be separate entities. \n", - "Should also figure out multiplicity (least common multiple) of plant lives. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1cf94ff3", - "metadata": {}, - "outputs": [], - "source": [ - "# checking if number of years provided in data match plant_life\n", - "import numpy as np\n", - "\n", - "# list of available years in LMP data\n", - "years = list( m.LMP.keys() )\n", - "n_years_data = len(years)\n", - "\n", - "# template dictionary full of 0s, same structure as LMP\n", - "zeroDict = {cluster: {hour: 0\n", - " for hour in m.set_time} \n", - " for cluster in m.set_days}\n", - "\n", - "## CHECKING THAT WE HAVE ENOUGH DATA FOR SIM ##\n", - "\n", - "# Case where we have less data than the project life/sim time\n", - "# Here, we assume (as in the default nuclear case demo) that\n", - "# the years 2022-2031 all have the same LMP data, which\n", - "# helps to cut down on variables just for the demonstration\n", - "if n_years_data < m.plant_life:\n", - " print(\"LMP Data less than project life\")\n", - " projLifeRange = np.arange( years[0]-1, # year-1 is the construction year\n", - " years[0] + m.plant_life) # full project time with first year of data as starting point\n", - "\n", - " # initializing empty dicts and lists\n", - " newLMP = {} # going to replace existing LMP dictionary\n", - " newYearsVec = [] # list of years used\n", - " stuckYear = 0 # ugly way of duplicating years\n", - "\n", - " # looping through possible years in lifetime (e.g., 2021 -> 2041)\n", - " for i,y in enumerate(projLifeRange):\n", - " # data not available for given year within project lifetime\n", - " if y not in years:\n", - " if i == 0: # construction year\n", - " newLMP[y] = zeroDict\n", - " newYearsVec.append(0)\n", - " else: # duplicate previous year's values\n", - " newLMP[y] = newLMP[y-1]\n", - " newYearsVec.append(stuckYear)\n", - " # data for current year is available in LMP dict\n", - " else:\n", - " stuckYear = y # update year for duplication (word?)\n", - " newLMP[y] = m.LMP[y] # keep current LMP value\n", - " newYearsVec.append(y) # update current year\n", - " \n", - " # save to model object\n", - " m.LMP = newLMP\n", - " m.yearsFullVec = newYearsVec\n", - "\n", - "elif n_years_data > m.plant_life:\n", - " print(\"LMP Data more than project life, must curtail.\")\n", - " # TODO fill this out\n", - "else:\n", - " print(\"LMP Data matches project life\")\n", - " # TODO fill this out\n", - " # years.insert(0,0)" - ] - }, - { - "cell_type": "markdown", - "id": "august-rings", - "metadata": {}, - "source": [ - "As we saw earlier, functions `build_ne_flowsheet` and `fix_dof_and_initialize` yield an initialized square model of the nuclear flowsheet. For the multi-period optimization problem, we now construct a function that can be used to unfix a few degrees of freedom for optimization. The function below\n", - "\n", - "- Unfixes the split fractions of the power splitter. The optimizer then determines the optimal split fraction of the electricity to the grid, and to the PEM electrolyzer.\n", - "- Unfixes the initial tank holdup. The initial tank holdup is governed by the final tank holdup at the previous hour.\n", - "- Unfixes the molar flow rate of hydrogen to the turbine and to the pipeline.\n", - "- Unfixes the molar flow rate of air to the turbine.\n", - "- Adds a constraint to fix the ratio of molar flow rate of air to molar flowrate of hydrogen (fuel-air ratio).\n", - "- Specifies a small non-zero bounds on a few flow variables to avoid convergence issues." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "senior-multimedia", - "metadata": {}, - "outputs": [], - "source": [ - "def unfix_dof(m, **kwargs):\n", - " \"\"\"\n", - " This function unfixes a few degrees of freedom for optimization\n", - " \"\"\"\n", - " # Set defaults in case options are not passed to the function\n", - " options = kwargs.get(\"options\", {})\n", - " air_h2_ratio = options.get(\"air_h2_ratio\", 10.76)\n", - " \n", - " # Unfix the electricity split in the electrical splitter\n", - " m.fs.np_power_split.split_fraction[\"np_to_grid\", 0].unfix()\n", - "\n", - " # Unfix the holdup_previous and outflow variables\n", - " m.fs.h2_tank.tank_holdup_previous.unfix()\n", - " m.fs.h2_tank.outlet_to_turbine.flow_mol.unfix()\n", - " m.fs.h2_tank.outlet_to_pipeline.flow_mol.unfix()\n", - "\n", - " # Unfix the flowrate of air to the mixer\n", - " m.fs.mixer.air_feed.flow_mol.unfix()\n", - "\n", - " # Add a constraint to maintain the air to hydrogen flow ratio\n", - " m.fs.mixer.air_h2_ratio = Constraint(\n", - " expr=m.fs.mixer.air_feed.flow_mol[0] ==\n", - " air_h2_ratio * m.fs.mixer.hydrogen_feed.flow_mol[0])\n", - " \n", - " # Set bounds on variables. A small non-zero value is set as the lower \n", - " # bound on molar flowrates to avoid convergence issues\n", - " m.fs.pem.outlet.flow_mol[0].setlb(0.001)\n", - "\n", - " m.fs.h2_tank.inlet.flow_mol[0].setlb(0.001)\n", - " m.fs.h2_tank.outlet_to_turbine.flow_mol[0].setlb(0.001)\n", - " m.fs.h2_tank.outlet_to_pipeline.flow_mol[0].setlb(0.001)\n", - "\n", - " m.fs.translator.inlet.flow_mol[0].setlb(0.001)\n", - " m.fs.translator.outlet.flow_mol[0].setlb(0.001)\n", - "\n", - " m.fs.mixer.hydrogen_feed.flow_mol[0].setlb(0.001)" - ] - }, - { - "cell_type": "markdown", - "id": "organized-peoples", - "metadata": {}, - "source": [ - "Next, we use the `build_multiperiod_design` function to build the constraints $g(u_{t,d}) = 0$ and $h(u_{t,d}) \\le 0$ $\\forall \\; t \\in \\mathcal{T}$ and $\\forall \\; d \\in \\mathcal{C}$. This function creates an instance of the flowsheet (using the `build_ne_flowsheet` function) for each time instance, fixes its degrees of freedom and initializes it (using the `fix_dof_and_initialize` function), and unfixes operational degrees of freedom (using the `unfix_dof` function) described above. Since we are dealing with multiple days/clusters and multiple years (2022 and 2032 LMP signals), we set the `multiple_days` and `multiyear` argument to `True` (see below. Note that the default value of these arguments is `False`). \n", - "\n", - "**Note**: The function, by default, looks for `m.set_time`, `m.set_days` and `m.set_years` objects for the set of hours, days/clusters and years, respectively. However, if the sets are created using a different set of names, then they must be passed to the function explicitly. E.g. `build_multiperiod_design(m, ..., set_time=m.set_time_object, set_days=m.set_days_object, set_years=m.set_years_object)`.\n", - "\n", - "**Tip**: Building the multiperiod model can take some time. So, set `verbose=True` to moniter the progress" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "democratic-aurora", - "metadata": {}, - "outputs": [], - "source": [ - "# Build initialized multiperiod model: Constraints g(u(t,d)) = 0 and h(u(t,d)) <= 0\n", - "build_multiperiod_design(m,\n", - " flowsheet=build_ne_flowsheet,\n", - " initialization=fix_dof_and_initialize,\n", - " unfix_dof=unfix_dof,\n", - " multiple_days=True,\n", - " multiyear=True,\n", - " verbose=False)" - ] - }, - { - "cell_type": "markdown", - "id": "suited-development", - "metadata": {}, - "source": [ - "Next, we define \n", - "\n", - "- Function `build_connecting_constraints` to declare the design decisions and to build the constraints $f(u_{t-1,d}, u_{t,d}) = 0$ and $u_{t,d} \\le D$. \n", - "- Function `append_costs_and_revenue` to build expressions for all the cash flows (electricity revenue, hydrogen revenue, fixed O&M, variable O&M, depreciation, etc.)\n", - "\n", - "Observe that we assume (Line 39 in the function below) that each day begins with an empty tank (i.e., zero holdup). This is one of the limitations of working with representative days/clusters. The excess storage at the end of each day cannot be transferred to the following day. This limitation can be overcome by formulating an optimization problem for an entire year, instead of a few representative days. This, however, increases the problem size substantially.\n", - "\n", - "**Note**: It is not necessary to define the above functions for the deterministic case. Nevertheless, we do so because it will be useful for the stochastic case, as we shall see in the next section." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "optimum-closing", - "metadata": {}, - "outputs": [], - "source": [ - "def build_connecting_constraints(m, set_time, set_days, set_years):\n", - " \n", - " \"\"\"\n", - " This function declares the first-stage variables or design decisions,\n", - " adds constraints that ensure that the operational variables never exceed their\n", - " design values, and adds constraints connecting variables at t - 1 and t\n", - " \"\"\"\n", - "\n", - " # Declare first-stage variables (Design decisions)\n", - " m.pem_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Maximum capacity of the PEM electrolyzer (in kW)\")\n", - " m.tank_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Maximum holdup of the tank (in mol)\")\n", - " m.h2_turbine_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Maximum power output from the turbine (in W)\")\n", - "\n", - " # Ensure that the electricity to the PEM elctrolyzer does not exceed the PEM capacity\n", - " @m.Constraint(set_time, set_days, set_years)\n", - " def pem_capacity_constraint(blk, t, d, y):\n", - " return blk.period[t, d, y].fs.pem.electricity[0] <= m.pem_capacity\n", - "\n", - " # Ensure that the final tank holdup does not exceed the tank capacity \n", - " @m.Constraint(set_time, set_days, set_years)\n", - " def tank_capacity_constraint(blk, t, d, y):\n", - " return blk.period[t, d, y].fs.h2_tank.tank_holdup[0] <= m.tank_capacity\n", - "\n", - " # Ensure that the power generated by the turbine does not exceed the turbine capacity\n", - " @m.Constraint(set_time, set_days, set_years)\n", - " def turbine_capacity_constraint(blk, t, d, y):\n", - " return (\n", - " - blk.period[t, d, y].fs.h2_turbine.turbine.work_mechanical[0]\n", - " - blk.period[t, d, y].fs.h2_turbine.compressor.work_mechanical[0] <=\n", - " m.h2_turbine_capacity\n", - " )\n", - "\n", - " # Connect the initial tank holdup at time t with the final tank holdup at time t - 1\n", - " @m.Constraint(set_time, set_days, set_years)\n", - " def tank_holdup_constraints(blk, t, d, y):\n", - " if t == 1:\n", - " # Each day begins with an empty tank\n", - " return (\n", - " blk.period[t, d, y].fs.h2_tank.tank_holdup_previous[0] == 0\n", - " )\n", - " else:\n", - " # Initial holdup at time t = final holdup at time t - 1\n", - " return (\n", - " blk.period[t, d, y].fs.h2_tank.tank_holdup_previous[0] ==\n", - " blk.period[t - 1, d, y].fs.h2_tank.tank_holdup[0]\n", - " )" - ] - }, - { - "cell_type": "markdown", - "id": "addressed-mount", - "metadata": {}, - "source": [ - "Next, we use the numbers in the table below for constructing the cash flow expressions.\n", - "\n", - "| Unit | CAPEX | Fixed O&M | Variable O&M |\n", - "| :- | :-: | :-: | :-: |\n", - "| PEM Electrolyzer | \\$1630 /kW | \\$47.9 /kW | \\$1.3 /MWh |\n", - "| Hydrogen tank | \\$29 /kWh | 0 | 0 |\n", - "| Hydrogen turbine | \\$947 /kW | \\$7 /kW | \\$4.25 /Mwh|\n", - "\n", - "We refer the reader to the Simulation of the Flowsheet section for the default units of the decision variables. We convert the cost numbers so that the units are consistent with that of the variable." - ] - }, - { - "cell_type": "markdown", - "id": "01055db2", - "metadata": {}, - "source": [ - "### TEAL: Defining component costs/revenues and corresponding IDAES variables \n", - "\n", - "We now add a template dictionary with all the Nuclear Case components. \n", - "Each plant component has nested dictionaries for each desired TEAL cash flow. \n", - "Note that all cash flows are defined as:\n", - " $$C_y = m \\alpha_y \\bigg(\\frac{D_y}{R}\\bigg)^X$$\n", - "The cash flow $C_y$ is indexed by year, but hourly indeces can also be created and summed per year. Other parameters include $\\alpha$, the reference price, $D_y$ the driver for the cash flow (e.g., number of units sold, hours of electricity produced, etc.), $R$ the reference driver corresponding to $\\alpha$ (optional), $X$ the scaling factor, and $m$ an extra multiplier.\n", - "\n", - "\n", - "The cash flow dictionaries below must have:\n", - "1. an **Expression**: a list of strings of the Pyomo variable name used as the cash flow driver ($D_y$)\n", - "2. a **Value**: the cost per unit ($\\alpha$)\n", - "3. a **Multiplier**: an extra multiplier to distinguish between +/- cash flows ($m$)\n", - "\n", - "Each component must also have a Lifetime but all currently set to be the same. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cbf4c9c2", - "metadata": {}, - "outputs": [], - "source": [ - "components={\n", - " # Electrolyzer: negative Cash flows\n", - " \"pem\":{ \n", - " \"Lifetime\": 20,\n", - " \"Capex\":{\n", - " \"Expressions\": ['pem_capacity'],\n", - " \"Value\": 1630, # $/kW\n", - " \"Multiplier\": [-1],\n", - " },\n", - " \"FixedOM\":{\n", - " \"Expressions\": ['pem_capacity'],\n", - " \"Value\": 47.9, # $/kW\n", - " \"Multiplier\": [-1],\n", - " },\n", - " \"Hourly\":{\n", - " \"Expressions\": ['fs.pem.electricity'],\n", - " \"Value\": 1.3e-3, # $/MWh -> $/kWh\n", - " \"Multiplier\": [-1],\n", - " },\n", - " },\n", - " # Hydrogen Tank: negative Cash flows\n", - " \"h2tank\":{\n", - " \"Lifetime\": 20,\n", - " \"Capex\":{\n", - " \"Expressions\": ['tank_capacity'],\n", - " \"Value\": 1.946851199, # $29/kWh * 33.3 kWh/kg * 2.016e-3 kg/mol\n", - " \"Multiplier\": [-1],\n", - " },\n", - " },\n", - " # Hydrogen Turbine: negative Cash flows\n", - " \"h2turbine\":{ \n", - " \"Lifetime\": 20,\n", - " \"Capex\":{\n", - " \"Expressions\": ['h2_turbine_capacity'],\n", - " \"Value\": 0.947, # $/kW -> $/W\n", - " \"Multiplier\": [-1],\n", - " },\n", - " \"FixedOM\":{\n", - " \"Expressions\": ['h2_turbine_capacity'],\n", - " \"Value\": 0.007, # $/kW -> $/W\n", - " \"Multiplier\": [-1],\n", - " },\n", - " \"Hourly\":{\n", - " \"Expressions\": ['fs.h2_turbine.turbine.work_mechanical',\n", - " 'fs.h2_turbine.compressor.work_mechanical'],\n", - " \"Value\": 4.25e-6, # $/MWh -> $/Wh\n", - " \"Multiplier\": [1, 1], # these values come out with correct sign in expression\n", - " },\n", - " },\n", - " # Electricity Market: positive Cash flows\n", - " \"electricity_market\":{\n", - " \"Lifetime\": 20,\n", - " \"Hourly\":{\n", - " \"Expressions\": ['fs.np_power_split.np_to_grid_port.electricity',\n", - " 'fs.h2_turbine.turbine.work_mechanical',\n", - " 'fs.h2_turbine.compressor.work_mechanical'],\n", - " \"Value\": [], # this is LMP in $/MWh, should be path str to ROM\n", - " \"Multiplier\": [1e-3, -1e-6, -1e-6], # converting to $/kWh and $/Wh\n", - " },\n", - " },\n", - " # Hydrogen Market: positive Cash flows\n", - " \"h2_market\":{\n", - " \"Lifetime\": 20,\n", - " \"Hourly\":{\n", - " \"Expressions\": ['fs.h2_tank.outlet_to_pipeline.flow_mol'], # this is in mol/s\n", - " \"Value\": 3.0, # this is $/kg\n", - " \"Multiplier\": [7.2576] # convert from $/kg -> $/mol and also converting mol/s to mol/hr\n", - " },\n", - " },\n", - "}" - ] - }, - { - "cell_type": "markdown", - "id": "499296f9", - "metadata": {}, - "source": [ - "TEAL: Next, we should initialize global Cash flow attributes within TEAL.\n", - "\n", - "This includes passing discount rates, plant life, etc. from the notebook to an object of TEAL \n", - "global parameters. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "418b46b4", - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import operator\n", - "\n", - "# *** HELPER FUNCTIONS / repurposed from TEAL/tests/PyomoTest.py ***\n", - "def build_econ_settings(cfs, life=5, dr=0.1, tax=0.21, infl=0.02184):\n", - " \"\"\"\n", - " Constructs global settings for econ run\n", - " @ In, cfs, CashFlow, cash flow components\n", - " @ In, life, float, life time of the years to evaluate\n", - " @ In, dr, float, discount rate\n", - " @ In, tax, float, the amount of tax ratio to apply\n", - " @ In, infl, float, the amount of inflation ratio to apply\n", - " @ Out, settings, CashFlow.GlobalSettings, settings\n", - " \"\"\"\n", - " active = []\n", - " for comp_name, cf_list in cfs.items():\n", - " for cf in cf_list:\n", - " active.append(f'{comp_name}|{cf}')\n", - " print(active)\n", - " params = {'DiscountRate': dr,\n", - " 'tax': tax,\n", - " 'inflation': infl,\n", - " 'ProjectTime': life,\n", - " 'Indicator': {'name': ['NPV'], # TODO: check IRR, PI\n", - " 'active': active}\n", - " }\n", - " settings = CashFlows.GlobalSettings()\n", - " settings.setParams(params)\n", - " settings._verbosity = 0\n", - " return settings\n", - "\n", - "\n", - "# using full plant life = 20 yrs\n", - "# LMP signal only uses 2 years... need to resolve when creating recurring cash flows\n", - "tealSettings = build_econ_settings(components,\n", - " life=m.plant_life,\n", - " dr=m.discount_rate,\n", - " tax=m.tax_rate)" - ] - }, - { - "cell_type": "markdown", - "id": "f93fefce", - "metadata": {}, - "source": [ - "TEAL: More helper methods distinguish between creating Capex, and recurring (hourly vs yearly) TEAL cash flows." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0b30e827", - "metadata": {}, - "outputs": [], - "source": [ - "def createCapex(comp, alpha, driver, life):\n", - " \"\"\"\n", - " Constructs the parameters for capital expenditures\n", - " @ In, comp, TEAL.src.CashFlows.Component, main structure to add component cash flows\n", - " @ In, alpha, float, price\n", - " @ In, driver, pyomo.core.base.var.ScalarVar, quantity sold\n", - " @ Out, cf, TEAL.src.CashFlows.Component, cashflow sale for each capital expenditures\n", - " \"\"\"\n", - " # extract alpha, driver as just one value\n", - " cf = CashFlows.Capex()\n", - " cf.name = 'Cap'\n", - " # life = comp._lifetime\n", - " cf.initParams(life)\n", - " cfParams = {'name': 'Cap',\n", - " 'alpha': alpha,\n", - " 'driver': driver,\n", - " 'reference': 1.0,\n", - " 'X': 1.0,\n", - " 'depreciate': 1,\n", - " 'mult_target': None,\n", - " 'inflation': False,\n", - " }\n", - " cf.setParams(cfParams)\n", - " return cf\n", - "\n", - "\n", - "def createRecurringYearly(comp, alpha, driver, lifeVector):\n", - " \"\"\"\n", - " Constructs the parameters for capital expenditures\n", - " @ In, comp, TEAL.src.CashFlows.Component, main structure to add component cash flows\n", - " @ In, alpha, float, yearly price to populate\n", - " @ In, driver, pyomo.core.base.var.ScalarVar, quantity sold to populate\n", - " @ Out, cf, TEAL.src.CashFlows.Component, cashflow sale for the recurring yearly\n", - " \"\"\"\n", - " cf = CashFlows.Recurring()\n", - " cfParams = {'name': 'FixedOM',\n", - " 'X': 1,\n", - " 'mult_target': None,\n", - " 'inflation': False}\n", - " cf.setParams(cfParams)\n", - "\n", - " # convert to binary mask, includes a zero for year 0 (construction)\n", - " projYears = np.array([y>1 for y in lifeVector], dtype=int)\n", - " projYears = projYears.astype(object)\n", - "\n", - " # 0 for first year (build year) -> TODO couldn't this be automatic?\n", - " alphas = projYears * alpha\n", - " drivers = projYears * driver\n", - "\n", - " # construct annual summary cashflows\n", - " cf.computeYearlyCashflow(alphas, drivers)\n", - " return cf\n", - "\n", - "\n", - "def createRecurringHourly(comp, alpha, driver, projLife):\n", - " \"\"\"\n", - " Constructs recurring cashflow with one value per hour\n", - " @ In, dfSet, tuple, includes pandas.Dataframe, dict of inputs, and pyomo concrete model loaded\n", - " sto run\n", - " @ In, comp, CashFlow.Component, component this cf will belong to\n", - " @ In, driver, string, variable name in df to take driver from\n", - " @ In, alpha, string, variable name in df to take alpha from\n", - " @ Out, comps, dict, dict mapping names to CashFlow component objects\n", - " \"\"\"\n", - " projLife += 1\n", - " print('DEBUGG cRH life:', comp.name, projLife)\n", - " cf = CashFlows.Recurring()\n", - " cfParams = {'name': 'Hourly',\n", - " 'X': 1,\n", - " 'mult_target': None,\n", - " 'inflation': False}\n", - " cf.setParams(cfParams)\n", - " cf.initParams(projLife, pyomoVar=True)\n", - " for year in range(projLife):\n", - " if isinstance(alpha, float):\n", - " cf.computeIntrayearCashflow(year, alpha, driver[year, :])\n", - " else:\n", - " cf.computeIntrayearCashflow(year, alpha[year, :], driver[year, :])\n", - " return cf" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2df7b4f5", - "metadata": {}, - "outputs": [], - "source": [ - "def getCapexVarFromModel(comp, cfDict, mdl):\n", - " alpha = cfDict['Value']\n", - " mults = cfDict['Multiplier']\n", - " exprs = cfDict['Expressions']\n", - " assert( len(mults)==len(exprs) ) # NOTE: Multiplier same length as Driver\n", - "\n", - " pyomoExpr = [operator.attrgetter(exprs[i])(mdl) for i in range(len(exprs))]\n", - " driver = [m*pexp for m, pexp in zip(mults, pyomoExpr)]\n", - " driver = driver[0]\n", - " return alpha, driver\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "463cfe9b", - "metadata": {}, - "outputs": [], - "source": [ - "def getDispatchVarFromModel(comp, cfDict, mdl):\n", - " alpha = cfDict['Value']\n", - " mults = cfDict['Multiplier']\n", - " exprs = cfDict['Expressions']\n", - " assert( len(mults)==len(exprs) ) # NOTE: Multiplier same length as Driver\n", - "\n", - " # time indeces for HERON/TEAL\n", - " n_hours = len(mdl.set_time)\n", - " n_days = len(mdl.set_days)\n", - " n_years = len(mdl.set_years)\n", - " n_projLife = mdl.plant_life + 1\n", - "\n", - " yearsMaskArray = mdl.yearsFullVec # looks like [0, 2022, 2022, 2022, 2022, ... 2032, ... ]\n", - " \n", - " n_hours_per_year = n_hours * n_days # sometimes number of days refers to clusters < 365\n", - "\n", - " dispatch_array = np.zeros((n_projLife, n_hours_per_year), dtype=object)\n", - "\n", - " indeces = np.array([tuple(i) for i in mdl.period_index], dtype=\"i,i,i\")\n", - " time_shape = (n_years, n_hours_per_year) # reshaping the tuples array to match HERON dispatch\n", - " indeces = indeces.reshape(time_shape)\n", - "\n", - " # currently, taking this to mean that we are using the LMP signal... \n", - " # TODO: needs to be more general here\n", - " if alpha == []:\n", - " signal = mdl.LMP\n", - "\n", - " # # plus 1 to year term to allow for 0 recurring costs during build year\n", - " # alpha = np.zeros([n_projLife, n_hours_per_year])\n", - " # it necessary to have alpha be [year, clusterhour] instead of [year, cluster, hour]\n", - " # clusterhour loops through hours first, then cluster\n", - " alpha = [[signal[y][d][h] \\\n", - " for d in mdl.set_days\n", - " for h in mdl.set_time] # order here matches *indeces*\n", - " for y in mdl.LMP.keys()] #shape here is [year, hour]\n", - " # # first column of year axis is 0 for project year 0\n", - " alpha = np.array(alpha)\n", - " # alpha[1:,:] = realized_alpha\n", - "\n", - " # TODO: check that all periods and LMPs match up...\n", - " pcount = -1\n", - " for p, pyear in enumerate(yearsMaskArray):\n", - " if pyear == 0:\n", - " continue\n", - "\n", - " if pyear > yearsMaskArray[p-1]:\n", - " pcount +=1\n", - "\n", - " for time in range(n_hours_per_year):\n", - " ind = tuple(indeces[pcount,time])\n", - " # looping through all DISPATCHES variables pertaining to this specific dispatch\n", - " # e.g., turbine costs due to work done by turbine + compressor, separate variables\n", - " dispatch_driver = 0\n", - " for ds, dStr in enumerate(exprs):\n", - " dispatch_driver += operator.attrgetter(dStr)(mdl.period[ind])[0] * mults[ds]\n", - "\n", - " # getting weights for each day/cluster\n", - " dy, yr = ind[1:]\n", - " weight = mdl.weights_days[yr][dy] # extracting weight for year + day\n", - "\n", - " # storing individual Pyomo dispatch\n", - " dispatch_array[p, time] = dispatch_driver * weight\n", - "\n", - " return alpha, dispatch_array\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e9157024", - "metadata": {}, - "outputs": [], - "source": [ - "def buildTealComponent(name, comp, mdl):\n", - " life = comp['Lifetime']\n", - " projLife = len(mdl.set_years) + 1\n", - " tealComp = CashFlows.Component()\n", - " tealComp.setParams({'name': name, \n", - " 'Life_time': comp['Lifetime']})\n", - " cashFlows = []\n", - "\n", - " ## check years vs projLife\n", - "\n", - " for cfName, cfDict in comp.items():\n", - " if cfName == 'Capex':\n", - " alpha, driver = getCapexVarFromModel(comp, cfDict, mdl)\n", - " capex = createCapex(tealComp, alpha, driver, m.plant_life)\n", - " cashFlows.append(capex)\n", - "\n", - " capex.setAmortization('MACRS', 15)\n", - " amorts = tealComp._createDepreciation(capex)\n", - " cashFlows.extend(amorts)\n", - " \n", - " elif cfName == 'FixedOM':\n", - " alpha, driver = getCapexVarFromModel(comp, cfDict, mdl)\n", - " fixedOM = createRecurringYearly(tealComp, alpha, driver, mdl.yearsFullVec)\n", - " cashFlows.append(fixedOM)\n", - " \n", - " elif cfName == 'Hourly':\n", - " alpha, driver = getDispatchVarFromModel(comp, cfDict, mdl)\n", - " hourly = createRecurringHourly(tealComp, alpha, driver, m.plant_life)\n", - " cashFlows.append(hourly)\n", - " \n", - "\n", - " tealComp.addCashflows(cashFlows)\n", - " return tealComp\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "qualified-bargain", - "metadata": {}, - "outputs": [], - "source": [ - "def append_costs_and_revenue(m, ps, LMP):\n", - " \"\"\"\n", - " ps: Object containing information on sets and parameters\n", - " LMP: Dictionary containing the LMP data\n", - " \"\"\"\n", - "\n", - " set_time = ps.set_time # Set of hours\n", - " set_days = ps.set_days # Set of days/clusters\n", - " set_years = ps.set_years # Set of years\n", - " weights_days = ps.weights_days # Weights associated with each cluster\n", - "\n", - " h2_sp = ps.h2_price # Selling price of hydrogen\n", - " plant_life = ps.plant_life # Plant lifetime\n", - " tax_rate = ps.tax_rate # Corporate tax rate\n", - " discount_rate = ps.discount_rate # Discount rate\n", - " \n", - " years_vec = [y - set_years[0] + 1 for y in set_years]\n", - " years_vec.append(plant_life + 1)\n", - " weights_years = {y: sum(1 / (1 + discount_rate) ** i\n", - " for i in range(years_vec[j], years_vec[j + 1]))\n", - " for j, y in enumerate(set_years)}\n", - "\n", - " # PEM CAPEX: $1630/kWh and pem_capacity is in kW,\n", - " # Tank CAPEX: $29/kWh, the LHV of hydrogen is 33.3 kWh/kg,\n", - " # the molecular mass of hydrogen is 2.016e-3 kg/mol and\n", - " # tank_capacity is in moles \n", - " # Turbine CAPEX: $947/kWh and turbine_capacity is in W\n", - " m.capex = Expression(\n", - " expr=(1630 * m.pem_capacity +\n", - " (29 * 33.3 * 2.016e-3) * m.tank_capacity +\n", - " (947 / 1000) * m.h2_turbine_capacity),\n", - " doc=\"Total capital cost (in USD)\"\n", - " )\n", - "\n", - " # Fixed O&M of PEM: $47.9/kW\n", - " # Fixed O&M of turbine: $7/kW\n", - " @m.Expression(set_years,\n", - " doc=\"Fixed O&M cost per year (in USD)\")\n", - " def fixed_om_cost(blk, y):\n", - " return (\n", - " 47.9 * m.pem_capacity + 7e-3 * m.h2_turbine_capacity\n", - " )\n", - "\n", - " # Variable O&M: PEM: $1.3/MWh and turbine: $4.25/MWh\n", - " @m.Expression(set_years,\n", - " doc=\"Total variable O&M cost per year (in USD)\")\n", - " def variable_om_cost(blk, y):\n", - " return (\n", - " (1.3 * 1e-3) * sum(weights_days[y][d] * blk.period[t, d, y].fs.pem.electricity[0]\n", - " for t in set_time for d in set_days) +\n", - " (4.25 * 1e-6) * sum(weights_days[y][d] * (\n", - " - blk.period[t, d, y].fs.h2_turbine.turbine.work_mechanical[0]\n", - " - blk.period[t, d, y].fs.h2_turbine.compressor.work_mechanical[0])\n", - " for t in set_time for d in set_days)\n", - " )\n", - "\n", - " @m.Expression(set_years,\n", - " doc=\"Revenue generated by selling electricity per year (in USD)\")\n", - " def electricity_revenue(blk, y):\n", - " return (\n", - " sum(weights_days[y][d] * LMP[y][d][t] *\n", - " (blk.period[t, d, y].fs.np_power_split.np_to_grid_port.electricity[0] * 1e-3 -\n", - " blk.period[t, d, y].fs.h2_turbine.turbine.work_mechanical[0] * 1e-6 -\n", - " blk.period[t, d, y].fs.h2_turbine.compressor.work_mechanical[0] * 1e-6)\n", - " for t in set_time for d in set_days)\n", - " )\n", - "\n", - " @m.Expression(set_years,\n", - " doc=\"Revenue generated by selling hydrogen per year (in USD)\")\n", - " def h2_revenue(blk, y):\n", - " return (\n", - " h2_sp * 2.016e-3 * 3600 *\n", - " sum(weights_days[y][d] *\n", - " blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0]\n", - " for t in set_time for d in set_days)\n", - " )\n", - "\n", - " @m.Expression(set_years,\n", - " doc=\"Depreciation value per year (in USD)\")\n", - " def depreciation(blk, y):\n", - " return (\n", - " blk.capex / plant_life\n", - " )\n", - "\n", - " @m.Expression(set_years,\n", - " doc=\"Net profit per year (in USD)\")\n", - " def net_profit(blk, y):\n", - " return (\n", - " blk.depreciation[y] + (1 - tax_rate) * (+ blk.h2_revenue[y]\n", - " + blk.electricity_revenue[y]\n", - " - blk.fixed_om_cost[y]\n", - " - blk.variable_om_cost[y]\n", - " - blk.depreciation[y])\n", - " )\n", - "\n", - " m.npv = Expression(\n", - " expr=sum(weights_years[y] * m.net_profit[y] for y in set_years) - m.capex,\n", - " doc=\"Net present value (in USD)\"\n", - " )" - ] - }, - { - "cell_type": "markdown", - "id": "banner-native", - "metadata": {}, - "source": [ - "We now build the remaining constraints and the objective function by calling `build_connecting_constraints` and `append_cost_and_revenue` functions, and solve the optimization problem." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "republican-diagnosis", - "metadata": {}, - "outputs": [], - "source": [ - "# Build the connecting constraints\n", - "build_connecting_constraints(m, \n", - " set_time=m.set_time, \n", - " set_days=m.set_days,\n", - " set_years=m.set_years)\n", - "\n", - "# Hydrogen demand constraint. divide the RHS by the molecular mass to convert kg/s to mol/s\n", - "@m.Constraint(m.set_time, m.set_days, m.set_years)\n", - "def hydrogen_demand_constraint(blk, t, d, y):\n", - " return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / 2.016e-3\n", - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c5844dcd", - "metadata": {}, - "outputs": [], - "source": [ - "# # Append cash flow expressions\n", - "# append_costs_and_revenue(m,\n", - "# ps=m,\n", - "# LMP=m.LMP)\n", - "#=================================================\n", - "tealComponentList = []\n", - "for name, comp in components.items():\n", - " tealComp = buildTealComponent(name, comp, m)\n", - " tealComponentList.append(tealComp)\n", - "\n", - "metrics = RunCashFlow.run(tealSettings, tealComponentList, {}, pyomoVar=True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "71991e45", - "metadata": {}, - "outputs": [], - "source": [ - "# print(m.npv.expr)\n", - "with open(\"TEAL_output.txt\", \"w\") as text_file:\n", - " # text_file.write(str(m.npv.expr))\n", - " text_file.write(str(metrics['NPV']))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d7355a37", - "metadata": {}, - "outputs": [], - "source": [ - "# Append cash flow expressions\n", - "# append_costs_and_revenue(m,\n", - "# ps=m,\n", - "# LMP=m.LMP)\n", - "\n", - "#=================================================\n", - "# tealComponentList = []\n", - "# for name, comp in components.items():\n", - "# tealComp = buildTealComponent(name, comp, m)\n", - "# tealComponentList.append(tealComp)\n", - "\n", - "metrics = RunCashFlow.run(tealSettings, tealComponentList, {}, pyomoVar=True)\n", - "\n", - "# Define the objective function\n", - "m.obj = Objective(expr=metrics['NPV'], sense=maximize)\n", - "\n", - "#=================================================\n", - "# m.obj = Objective(expr=m.npv, sense=maximize)\n", - "# Define the solver object. Using IPOPT\n", - "solver = get_solver()\n", - "\n", - "# Solver the optimization problem\n", - "solver.solve(m, tee=True)" - ] - }, - { - "cell_type": "markdown", - "id": "confident-neutral", - "metadata": {}, - "source": [ - "Verify that the solver converges to the optimal solution. We now print the results and answer the questions posed at the beginning of this notebook. To recall, we are interested in determining whether the following options are attractive (i.e., maximize NPV):\n", - "\n", - "- Produce hydrogen using a portion of the electricity, especially during periods of low electricity demand, and sell it.\n", - "- Produce hydrogen, store it in a tank, and combust it to produce electrity during the periods of high electricity demand." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "scientific-nudist", - "metadata": {}, - "outputs": [], - "source": [ - "def generate_plots(m, d, y, set_time, lmp):\n", - " LMP = [lmp[y][d][t] for t in set_time]\n", - " \n", - " # Power from nuclear power plant to the grid (convert it to MW)\n", - " np_to_grid = [m.period[t, d, y].fs.np_power_split.split_fraction[\"np_to_grid\", 0].value \n", - " for t in set_time]\n", - " # Hydrogen production rate in the PEM electrolyzer (convert it to kg/hr)\n", - " h2_production = [m.period[t, d, y].fs.pem.outlet.flow_mol[0].value * 2.016e-3 * 3600\n", - " for t in set_time]\n", - " # Hydrogen flowrate to pipeline (convert it to kg/hr)\n", - " h2_to_pipeline = [m.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0].value * 2.016e-3 * 3600\n", - " for t in set_time]\n", - " # Hydrogen flowrate to turbine (convert it to kg/hr)\n", - " h2_to_turbine = [m.period[t, d, y].fs.h2_tank.outlet_to_turbine.flow_mol[0].value * 2.016e-3 * 3600\n", - " for t in set_time]\n", - " \n", - " # Plot the results\n", - " plot_lmp_and_schedule(lmp=LMP,\n", - " schedule={\"power_to_grid\": np_to_grid,\n", - " \"h2_production\": h2_production,\n", - " \"h2_to_pipeline\": h2_to_pipeline,\n", - " \"h2_to_turbine\": h2_to_turbine},\n", - " y_label={\"power_to_grid\": \"Split fraction to grid [-]\",\n", - " \"h2_production\": \"Hydrogen production (kg/hr)\",\n", - " \"h2_to_pipeline\": \"Hydrogen to pipeline (kg/hr)\",\n", - " \"h2_to_turbine\": \"Hydrogen to turbine (kg/hr)\"},\n", - " y_range={\"power_to_grid\": (0.5, 1.02),\n", - " \"h2_production\": (0, 4000),\n", - " \"h2_to_pipeline\": (0, 4000),\n", - " \"h2_to_turbine\": (-0.5, 10)})" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "disabled-invitation", - "metadata": {}, - "outputs": [], - "source": [ - "import pyomo.environ as pyo\n", - "\n", - "# Print Results\n", - "print(\"Optimal PEM capacity : \", m.pem_capacity.value * 1e-3, \"MW\")\n", - "print(\"Optimal tank capacity : \", m.tank_capacity.value * 2.016e-3, \"kg\")\n", - "print(\"OPtimal turbine capacity: \", m.h2_turbine_capacity.value * 1e-6, \"MW\")\n", - "\n", - "print(\"NPV :\", pyo.value( m.obj ) * 1e-9, \"$B\")\n", - "\n", - "# Using `generate_plots` we plot optimal operating conditions for a specific day\n", - "generate_plots(m, d=1, y=2022, set_time=m.set_time, lmp=m.LMP)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "brutal-sigma", - "metadata": {}, - "outputs": [], - "source": [ - "# Using `generate_plots` we plot optimal operating conditions for a specific day\n", - "generate_plots(m, d=8, y=2022, set_time=m.set_time, lmp=m.LMP)\n" - ] - }, - { - "cell_type": "markdown", - "id": "empty-identity", - "metadata": {}, - "source": [ - "- Clearly, when the selling price of hydrogen is $3/kg, it is attractive (maximizes NPV) to produce hydrogen using a portion of electricity when its price is sufficiently low.\n", - "- However, storing hydrogen and combusting it later to produce electricity is not attractive. This is inferred from the optimal size of the hydrogen tank and the size of the turbine, respectively (both the values are zero. We see a small nonzero value because we imposed small nonzero lower bounds on flows to avoid convergence issues). \n", - "\n", - "The optimal size of the PEM electrolyzer for the production of hydrogen is 196.26 MW for a hydrogen demand of 1 kg/s. The hydrogen tank and the hydrogen turbine must not be built to maximize the NPV. The hydrogen produced by the PEM electrolyzer must be sold immediately to the hydrogen market via the pipeline." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "brilliant-prairie", - "metadata": {}, - "outputs": [], - "source": [ - "# These optimization problems tend to be very large, so we \n", - "# delete the model after analyzing the results to save memory.\n", - "del m" - ] - }, - { - "cell_type": "markdown", - "id": "civic-special", - "metadata": {}, - "source": [ - "## Multiperiod Optimization Model: Stochastic\n", - "\n", - "### LMP Signal\n", - "\n", - "As mentioned in the previous section, due to uncertainty in various factors such as weather, demand, etc., it is not possible to determine the future locational marginal price accurately. There are many approaches to take into account the uncertainty in the LMP signal during the decision making process. One such approach involves the generation of potential LMP scenarios along with their associated probabilities and use them to formulate a stochastic program.\n", - "\n", - "Here, for demonstration, we consider two different realizations of the LMP signal (i.e., two scenarios: scenario 0 and scenario 1). " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "previous-sending", - "metadata": {}, - "outputs": [], - "source": [ - "# Gather the LMP data needed for the stochastic case\n", - "# Notation: lmp_dataset[scenario][year][cluster/day][time/hour]\n", - "lmp_stochastic = {scenario: {year: {cluster: {hour: lmp_dataset[str(scenario)][str(year)][str(cluster)][str(hour)]\n", - " for hour in range(1, 25)} \n", - " for cluster in range(1, 21)}\n", - " for year in [2022]}\n", - " for scenario in [0, 1]}" - ] - }, - { - "cell_type": "markdown", - "id": "polar-bridge", - "metadata": {}, - "source": [ - "Next, we formulate an optimization problem of the form\n", - "$$ \\begin{aligned}\n", - "\\max_{D, D_s, u_{s, t, d}} \\quad & \\sum_s w_s \\text{NPV}_s(D_s, u_{s, t, d})\\\\\n", - "& g(u_{s, t, d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S} \\\\\n", - "& h(u_{s, t, d}) \\le 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S} \\\\\n", - "& f(u_{s, t-1, d}, u_{s, t, d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S} \\\\\n", - "& u_{s, t, d} \\le D_s, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S}\\\\\n", - "& D_s = D, & & \\forall\\; s \\in \\mathcal{S}\n", - "\\end{aligned}$$\n", - "\n", - "Here, the sets $\\mathcal{S} = \\{0, 1\\}$, $\\mathcal{T} = \\{1, \\dots, 24\\}$ and $\\mathcal{C} = \\{1, \\dots, 20\\}$ denote the the set of scenarios, the set of hours in a day and the set of clusters/days in a year, respectively. $D$ denotes the design decisions (or, first-stage variables) viz. size of the PEM electrolyzer (`pem_capacity`), tank (`tank_capacity`) and the turbine (`turbine_capacity`), and $D_s$ denotes the design decisions in scenario $s$. $u_{s, t, d}$ denotes the operating decisions (or, second-stage decisions) in scenario $s$, at time $t$ of day/cluster $d$. $g(u_{s, t, d}) = 0$ and $h(u_{s, t,d}) \\le 0$ denote the flowsheet model, $f(u_{s, t-1,d}, u_{s, t,d}) = 0$ connects the operating decisions at time $t-1$ and at time $t$ (e.g., tank holdup), and $u_{s, t, d} \\le D_s$ ensures that the operating decision values never exceed the design capacity values (e.g., tank holdup at any time instant must not exceed the tank capacity) in scenario $s$. Finally, $D_s = D$ ensures that the design decisions are maintained the same in all scenarios (non-anticipativity constraints).\n", - "\n", - "In the objective function, $w_s$ denotes the probability associated with scenario $s$, and $\\text{NPV}_s$ stands for the net present value calculated in scenario $s$." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "lightweight-prediction", - "metadata": {}, - "outputs": [], - "source": [ - "# Create concrete model object\n", - "m = ConcreteModel()\n", - "\n", - "# Define sets\n", - "m.set_time = RangeSet(24) # twenty fours in a day\n", - "m.set_days = RangeSet(20) # twenty clusters/days per year\n", - "m.set_years = [2022] # Set of years\n", - "m.set_scenarios = [0, 1] # Set of scenarios\n", - "\n", - "# Define parameters\n", - "m.plant_life = 20 # Plant lifetime: 20 years\n", - "m.tax_rate = 0.2 # Corporate tax rate: 20%\n", - "m.discount_rate = 0.08 # Discount rate: 8%\n", - "m.h2_price = 3 # Selling price of hydrogen: $3/kg\n", - "m.h2_demand = 1 # Maximum amount of hydrogen that can be sold: 1 kg/s\n", - "m.LMP = lmp_stochastic # LMP signal\n", - "m.weights_days = weights_days # number of days represented by each cluster\n", - "m.weights_scenarios = {0: 0.5, 1: 0.5} # Equal probability for both the scenarios" - ] - }, - { - "cell_type": "markdown", - "id": "talented-dietary", - "metadata": {}, - "source": [ - "Next, we call the `build_multiperiod_design` function to formulate the multi-period optimization problem. However, this time, we also set `stochastic=True`. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "returning-moderator", - "metadata": {}, - "outputs": [], - "source": [ - "# Build initialized multiperiod model: Constraints g(u(t,d)) = 0 and h(u(t,d)) <= 0\n", - "build_multiperiod_design(m,\n", - " flowsheet=build_ne_flowsheet,\n", - " initialization=fix_dof_and_initialize,\n", - " unfix_dof=unfix_dof,\n", - " multiple_days=True,\n", - " multiyear=True,\n", - " stochastic=True,\n", - " verbose=False)" - ] - }, - { - "cell_type": "markdown", - "id": "divine-zimbabwe", - "metadata": {}, - "source": [ - "Next, add the connecting constraints and hydrogen demand constraints for each of the scenarios." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "elder-victoria", - "metadata": {}, - "outputs": [], - "source": [ - "for s in m.set_scenarios:\n", - " # Build the connecting constraints\n", - " build_connecting_constraints(m.scenario[s], \n", - " set_time=m.set_time, \n", - " set_days=m.set_days,\n", - " set_years=m.set_years)\n", - "\n", - " # Append cash flow expressions\n", - " append_costs_and_revenue(m.scenario[s],\n", - " ps=m,\n", - " LMP=m.LMP[s])\n", - " \n", - " # Hydrogen demand constraint. \n", - " # Divide the RHS by the molecular mass to convert kg/s to mol/s\n", - " obj = m.scenario[s]\n", - " @obj.Constraint(m.set_time, m.set_days, m.set_years)\n", - " def hydrogen_demand_constraint(blk, t, d, y):\n", - " return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / 2.016e-3" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "suburban-radar", - "metadata": {}, - "outputs": [], - "source": [ - "# Add non-anticipativity constraints\n", - "m.pem_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Design PEM capacity (in kW)\")\n", - "m.tank_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Design tank capacity (in mol)\")\n", - "m.h2_turbine_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Design turbine capacity (in W)\")\n", - "\n", - "@m.Constraint(m.set_scenarios)\n", - "def non_anticipativity_pem(blk, s):\n", - " return blk.pem_capacity == blk.scenario[s].pem_capacity\n", - "\n", - "@m.Constraint(m.set_scenarios)\n", - "def non_anticipativity_tank(blk, s):\n", - " return blk.tank_capacity == blk.scenario[s].tank_capacity\n", - "\n", - "@m.Constraint(m.set_scenarios)\n", - "def non_anticipativity_turbine(blk, s):\n", - " return blk.h2_turbine_capacity == blk.scenario[s].h2_turbine_capacity" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "liberal-riverside", - "metadata": {}, - "outputs": [], - "source": [ - "# Define the objective function\n", - "m.obj = Objective(expr=sum(m.weights_scenarios[s] * m.scenario[s].npv\n", - " for s in m.set_scenarios), \n", - " sense=maximize)\n", - "\n", - "# Define the solver object. Using the default solver: IPOPT\n", - "solver = get_solver()\n", - "\n", - "# Solve the optimization problem\n", - "solver.solve(m, tee=True)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "civil-celebration", - "metadata": {}, - "outputs": [], - "source": [ - "# Print Results\n", - "print(\"Optimal PEM capacity : \", m.pem_capacity.value * 1e-3, \"MW\")\n", - "print(\"Optimal tank capacity : \", m.tank_capacity.value * 2.016e-3, \"kg\")\n", - "print(\"OPtimal turbine capacity: \", m.h2_turbine_capacity.value * 1e-6, \"MW\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "protecting-asthma", - "metadata": {}, - "outputs": [], - "source": [ - "generate_plots(m.scenario[0], d=8, y=2022, set_time=m.set_time, lmp=m.LMP[0])" - ] - }, - { - "cell_type": "markdown", - "id": "protecting-flexibility", - "metadata": {}, - "source": [ - "Even in the stochastic case, we observe the same result i.e., producing hydrogen and selling it during the periods of low electricity demand is profitable. Whereas, building a turbine to combust hydrogen and produce electricity is not attractive. " - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.7.12 ('raven_libraries')", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.13" - }, - "vscode": { - "interpreter": { - "hash": "30a489d75dc74fdb25680615d228a0f0cfe67acdca53983943a779507522064f" - } - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/dispatches/multiperiod_design_pricetaker_wTEALwSynhist.ipynb b/dispatches/multiperiod_design_pricetaker_wTEALwSynhist.ipynb deleted file mode 100644 index 235fe6daf..000000000 --- a/dispatches/multiperiod_design_pricetaker_wTEALwSynhist.ipynb +++ /dev/null @@ -1,4049 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "naval-employment", - "metadata": {}, - "source": [ - "# Integrated Energy Systems: Nuclear Case Study with TEAL Cashflows\n" - ] - }, - { - "cell_type": "markdown", - "id": "052896d1", - "metadata": {}, - "source": [ - "Before running this notebook, we have to get RAVEN and DISPATCHES to play along together. \n", - "The easiest way, as of 8/19/2022, is to first install RAVEN and all its dependencies into a dedicated conda environment. \n", - "Then install DISPATCHES within that environment. Installation guides for [RAVEN](github.com:idaholab/raven.git) and [DISPATCHES](https://github.com/gmlc-dispatches/dispatches) can be found in their respective Github repositories, but the major steps are summarized below:\n", - "\n", - " ```bash\n", - " # assuming git cloning with SSH key, can substitute HTML cloning\n", - " git clone git@github.com:idaholab/raven.git\n", - " git clone git@github.com:gmlc-dispatches/dispatches.git\n", - "\n", - " cd raven\n", - "\n", - " # if you haven't installed RAVEN yet:\n", - " ./scripts/establish_conda_env.sh --install\n", - " # else, activate the environment\n", - " conda activate raven_libraries\n", - "\n", - " # load raven libraries (if on Windows and using Anaconda Prompt, run 'conda install m2-base' to get sh command)\n", - " sh ./scripts/establish_conda_env.sh --load\n", - "\n", - " cd ../dispatches \n", - "\n", - " # usually got an SSL certificate error, fix is to add github to trusted hosts\n", - " python -m pip install -r requirements-dev.txt --trusted-host=codeload.github.com\n", - "\n", - " ```\n", - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "automated-antigua", - "metadata": {}, - "outputs": [], - "source": [ - "# General python imports\n", - "import json\n", - "\n", - "# Pyomo imports\n", - "from pyomo.environ import (ConcreteModel,\n", - " RangeSet,\n", - " Var,\n", - " NonNegativeReals,\n", - " Constraint,\n", - " Expression,\n", - " Objective,\n", - " maximize,\n", - " units as pyunits)\n", - "\n", - "# IDAES imports\n", - "from idaes.core.solvers import get_solver\n", - "from idaes.core.util.model_statistics import degrees_of_freedom\n", - "\n", - "# Nuclear flowsheet function imports\n", - "from dispatches.case_studies.nuclear_case.nuclear_flowsheet import (build_ne_flowsheet,\n", - " fix_dof_and_initialize)\n", - "\n", - "# Import function for the construction of the multiperiod model\n", - "from dispatches.case_studies.nuclear_case.multiperiod import (\n", - " build_multiperiod_design,\n", - " plot_lmp_and_schedule)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "37efedf5", - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "import os\n", - "import numpy as np\n", - "import cloudpickle as pk\n", - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "\n", - "\n", - "\n", - "# add romLoader to path\n", - "here = os.path.abspath(os.path.dirname(__file__))\n", - "frameworkPath = \"C:/projects/raven/ravenframework\"\n", - "print(here)\n", - "sys.path.append(os.path.abspath(os.path.join(frameworkPath, '..', 'scripts')))\n", - "import externalROMloader\n", - "\n", - "#create\n", - "targetFile = \"C:/projects/raven/tests/framework/ROM/TimeSeries/ARMA/Interpolated/interpolated.pk\"\n", - "runner = externalROMloader.ravenROMexternal(targetFile, frameworkPath)\n", - "\n", - "#run\n", - "inp = {'scaling': [1]}" - ] - }, - { - "cell_type": "markdown", - "id": "72522d0d", - "metadata": {}, - "source": [ - "### TEAL: Adding TEAL to path and importing Cashflows \n", - "\n", - "Note you have to run this using the *raven_libraries* Python environment for now. Within that environment, you should install *dispatches*" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "e3e331c5", - "metadata": {}, - "outputs": [], - "source": [ - "import os.path as path \n", - "import os, sys\n", - "cwd = os.getcwd()\n", - "proj_dir = path.dirname( path.abspath( path.join(cwd, '../../..') ) )\n", - "TEAL_dir = path.abspath( path.join(proj_dir, 'TEAL') )\n", - "raven_dir = path.abspath( path.join(proj_dir, 'raven') )\n", - "sys.path.append( proj_dir )\n", - "sys.path.append( TEAL_dir )\n", - "sys.path.append( raven_dir )\n", - "sys.path.append( path.abspath( path.join(TEAL_dir, 'src') ) )\n", - "\n", - "from TEAL.src import CashFlows\n", - "from TEAL.src import main as RunCashFlow" - ] - }, - { - "cell_type": "markdown", - "id": "centered-tamil", - "metadata": {}, - "source": [ - "## Simulation of the Flowsheet\n", - "\n", - "Before we formulate the multiperiod optimization problem, we first simulate the nuclear flowsheet and print some results. This helps the reader to familiarize themselves with the names, along with their default units, of a few important variables. The readers are encouraged to go through the `nuclear_flowsheet.py` script. It contains the function `build_ne_flowsheet` which assembles models for all the units in the flowsheet, and connects them via `Arc` objects. It also contains the function `fix_dof_and_initialize` which fixes the degrees of freedom and initializes the entire flowsheet.\n", - "\n", - "The flowsheet has four degrees of freedom viz.,\n", - "\n", - "- Split fraction of electricity to the grid in the power splitter (variable `m.fs.np_power_split.split_fraction[\"np_to_grid\", 0]` in the model). We fix this variable to 0.8.\n", - "- Molar flowrate of hydrogen to the pipeline (variable `m.fs.h2_tank.outlet_to_pipeline.flow_mol[0]`). We fix this variable to 10 mol/s.\n", - "- Molar flowrate of hydrogen to the turbine (variable `m.fs.h2_tank.outlet_to_turbine.flow_mol[0]`). We fix this variable to 10 mol/s.\n", - "- Initial holdup of hydrogen in the tank (variable `m.fs.h2_tank.tank_holdup_previous[0]`). We fix this variable to 0 mol.\n", - "\n", - "These variables are fixed in the `fix_dof_and_initialize` function. In addition to the above three variables, we also fix the variables shown in the table below. We do not refer these variables as degrees of freedom, because they remain fixed at these values in the multiperiod optimization model.\n", - "\n", - "| Name | Variable | Value |\n", - "| :- | :- | :-: |\n", - "| Pressure difference across `h2_turbine`'s compressor | `m.fs.h2_turbine.compressor.deltaP` | 24.01 bar |\n", - "| Isentropic efficiency of `h2_turbine`'s compressor | `m.fs.h2_turbine.compressor.efficiency_isentropic` | 0.86 |\n", - "| Conversion of hydrogen in `h2_turbine`'s reactor | `m.fs.h2_turbine.stoic_reactor.conversion` | 0.99 |\n", - "| Pressure deifference across `h2_turbine`'s turbine | `m.fs.h2_turbine.turbine.deltaP` | -24.01 bar |\n", - "| Isentripic efficiency of `h2_turbine`'s turbine | `m.fs.h2_turbine.turbine.efficiency_isentropic` | 0.89 |\n", - "| Molar flow rate of air to `h2_turbine` | `m.fs.mixer.air_feed.flow_mol[0]` | 10.76 * molar flowrate of hydrogen to turbine |\n", - "| Temperature of air | `m.fs.mixer.air_feed.temperature[0]` | 300 K |\n", - "| Pressure of air | `m.fs.mixer.air_feed_pressure[0]` | 1.01325 bar |\n", - "| Duration of the simulation for `h2_tank` | `m.fs.h2_tank.dt` | 3600 s |\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "annoying-myrtle", - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2022-08-29 06:28:07 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-08-29 06:28:07 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:07 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:07 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-08-29 06:28:07 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:07 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-08-29 06:28:07 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:07 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:07 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-08-29 06:28:08 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:08 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:08 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:08 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-08-29 06:28:08 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:08 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-08-29 06:28:08 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:08 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:08 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:08 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:09 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:10 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:11 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:28:12 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-29 06:28:12 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", - "Degrees of freedom: 0\n", - "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", - "tol=1e-06\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.14.7, running with linear solver MUMPS 5.5.0.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 593\n", - "Number of nonzeros in inequality constraint Jacobian.: 0\n", - "Number of nonzeros in Lagrangian Hessian.............: 204\n", - "\n", - "Total number of variables............................: 215\n", - " variables with only lower bounds: 20\n", - " variables with lower and upper bounds: 180\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 215\n", - "Total number of inequality constraints...............: 0\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 0\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 0.0000000e+00 5.55e+04 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 0.0000000e+00 3.49e-08 2.36e-01 -1.0 9.80e-03 - 9.90e-01 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 1\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 2.3283064365386963e-10 3.4924596548080444e-08\n", - "Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 2.3283064365386963e-10 3.4924596548080444e-08\n", - "\n", - "\n", - "Number of objective function evaluations = 2\n", - "Number of objective gradient evaluations = 2\n", - "Number of equality constraint evaluations = 2\n", - "Number of inequality constraint evaluations = 0\n", - "Number of equality constraint Jacobian evaluations = 2\n", - "Number of inequality constraint Jacobian evaluations = 0\n", - "Number of Lagrangian Hessian evaluations = 1\n", - "Total seconds in IPOPT = 0.029\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "data": { - "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.16513776779174805}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Create a concrete model object\n", - "m = ConcreteModel()\n", - "\n", - "# Build the nuclear flowsheet\n", - "build_ne_flowsheet(m)\n", - "\n", - "# Fix the degrees of freedom and initialize\n", - "fix_dof_and_initialize(m)\n", - "\n", - "# Ensure that the resulting model is a square problem i.e., its degrees of freedom must be 0\n", - "print(\"Degrees of freedom: \", degrees_of_freedom(m))\n", - "assert degrees_of_freedom(m) == 0\n", - "\n", - "# Create a solver object with the default solver (IPOPT)\n", - "solver = get_solver()\n", - "\n", - "# Simulate the entire flowsheet\n", - "solver.solve(m, tee=True)" - ] - }, - { - "cell_type": "markdown", - "id": "average-replacement", - "metadata": {}, - "source": [ - "Verify that IPOPT converges to the optimal solution. Next, we print some results. Note the names of the variables and their default units (we use Pyomo's `units`, imported as `pyunits`, to obtain the units of a variable). Units are needed to correctly define the cash flow expressions later." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "animal-astronomy", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Nuclear plant power production : 1000000.0 kW\n", - "Electricity to grid : 800000.0 kW\n", - "Electricity to PEM : 199999.99999999997 kW\n", - "\n", - "Flowrate of H2 from pem : 505.4811999999999 mol/s\n", - "\n", - "Flowrate of H2 to tank : 505.4811999999999 mol/s\n", - "Flowrate of H2 to pipeline : 10 mol/s\n", - "Flowrate of H2 to turbine : 10 mol/s\n", - "Initial tank holdup : 0 mol\n", - "Tank holdup at the end of 1 hr : 1747732.3199999996 mol\n", - "H2 Turbine's compressor work : 1764604.5955977994 kg*m**2/s**3\n", - "H2 Turbine's turbine work : -2672169.126200441 kg*m**2/s**3\n", - "Net power produced by turbine : 907564.5306026414 kg*m**2/s**3\n" - ] - } - ], - "source": [ - "def get_units(obj):\n", - " return str(pyunits.get_units(obj))\n", - "\n", - "# Print results: power splitter\n", - "print(\"Nuclear plant power production : \", m.fs.np_power_split.electricity[0].value,\n", - " get_units(m.fs.np_power_split.electricity[0]))\n", - "print(\"Electricity to grid : \", m.fs.np_power_split.np_to_grid_port.electricity[0].value,\n", - " get_units(m.fs.np_power_split.np_to_grid_port.electricity[0]))\n", - "print(\"Electricity to PEM : \", m.fs.np_power_split.np_to_pem_port.electricity[0].value,\n", - " get_units(m.fs.np_power_split.np_to_pem_port.electricity[0]))\n", - "print()\n", - "\n", - "# Print results: PEM electrolyzer\n", - "print(\"Flowrate of H2 from pem : \", m.fs.pem.outlet.flow_mol[0].value,\n", - " get_units(m.fs.pem.outlet.flow_mol[0]))\n", - "print()\n", - "\n", - "# Print results: Hydrogen tank\n", - "print(\"Flowrate of H2 to tank : \", m.fs.h2_tank.inlet.flow_mol[0].value,\n", - " get_units(m.fs.h2_tank.inlet.flow_mol[0]))\n", - "print(\"Flowrate of H2 to pipeline : \", m.fs.h2_tank.outlet_to_pipeline.flow_mol[0].value,\n", - " get_units(m.fs.h2_tank.outlet_to_pipeline.flow_mol[0]))\n", - "print(\"Flowrate of H2 to turbine : \", m.fs.h2_tank.outlet_to_turbine.flow_mol[0].value,\n", - " get_units(m.fs.h2_tank.outlet_to_turbine.flow_mol[0]))\n", - "print(\"Initial tank holdup : \", m.fs.h2_tank.tank_holdup_previous[0].value,\n", - " get_units(m.fs.h2_tank.tank_holdup_previous[0]))\n", - "print(\"Tank holdup at the end of 1 hr : \", m.fs.h2_tank.tank_holdup[0].value,\n", - " get_units(m.fs.h2_tank.tank_holdup[0]))\n", - "\n", - "# Print results: Hydrogen Turbine\n", - "print(\"H2 Turbine's compressor work : \", m.fs.h2_turbine.compressor.work_mechanical[0].value,\n", - " get_units(m.fs.h2_turbine.compressor.work_mechanical[0]))\n", - "print(\"H2 Turbine's turbine work : \", m.fs.h2_turbine.turbine.work_mechanical[0].value,\n", - " get_units(m.fs.h2_turbine.turbine.work_mechanical[0]))\n", - "print(\"Net power produced by turbine : \", (- m.fs.h2_turbine.turbine.work_mechanical[0].value\n", - " - m.fs.h2_turbine.compressor.work_mechanical[0].value),\n", - " get_units(m.fs.h2_turbine.compressor.work_mechanical[0]))" - ] - }, - { - "cell_type": "markdown", - "id": "accessory-paris", - "metadata": {}, - "source": [ - "Observe that the power variables in the power splitter model and the PEM electrolyzer model use kW. Whereas, the power variables (mechanical work) use in the hydrogen turbine model use W. This complete the simulation of the flowsheet. Before proceeding further, we delete the object `m` to avoid confusion" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "guilty-appliance", - "metadata": {}, - "outputs": [], - "source": [ - "# Delete the object containing the flowsheet\n", - "del m" - ] - }, - { - "cell_type": "markdown", - "id": "alert-packing", - "metadata": {}, - "source": [ - "## Multiperiod Optimization Model: Deterministic\n", - "\n", - "### LMP Signal\n", - "Our objective is to determine the optimal size of the PEM, tank and turbine maximizing the NPV for a given 'market signal'. Throughout the notebook, by market signal or price signal, we refer to the locational marginal price (LMP) (selling price of electricity, in $/MWh) as a function of time. The LMP depends on several factors such as weather, demand, generator mix of the grid, and so forth. Owing to the uncertain nature of some those factors, it is not possible to predict the exact value of the LMP way into the future. Nevertheless, in this section, we **assume that the LMP signal is accurate** (i.e., there is no uncertainty in the price). Later, we show how the same framework/workflow can be used to easily formulate a stochastic program to handle the uncertainty in the price signal. \n", - "\n", - "Here, we use the LMP data contained in the file `lmp_signal.json`. This dataset is generated by FORCE (link goes here) using the 2019/2020 New York Independent System Operator (NYISO) price data. FORCE divides the 365 days of a year into a specified number of clusters (20, in our case), and generates the LMP signal for each cluster (Note that the LMP signal is the same for all the days of a cluster). The figure below plots the LMP signal for cluster 1 (left) and cluster 8.\n", - "\n", - "![](sample_lmp_plots.png)\n", - "\n", - "As evident from the figure, the price can vary significantly in a day, and from cluster to cluster. Given the variation, we are interested in determining if producing hydrogen, especially during the periods when LMP is low, is attractive or not. \n", - "\n", - "For the demonstration, we do not use the entire dataset in `lmp_signal.json`. Instead, we use the LMP signal only for the years 2022 and 2032. We assume that the plant lifetime is twenty years. We use the 2022 LMP signal for the first ten years (i.e., 2022 - 2031), and the 2032 LMP signal for the next ten years (i.e., 2032 - 2041). If desired, the LMP data for the intermediate years can be easily included in the model with a slight modification to the code." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "involved-skill", - "metadata": {}, - "outputs": [], - "source": [ - "# Load the LMP dataset\n", - "with open(\"lmp_signal.json\") as fp:\n", - " lmp_dataset = json.load(fp)\n", - " \n", - "# Gather the LMP data needed for the deterministic case\n", - "# Notation: lmp_dataset[scenario][year][cluster/day][time/hour]\n", - "lmp_deterministic = {year: {cluster: {hour: lmp_dataset[\"0\"][str(year)][str(cluster)][str(hour)]\n", - " for hour in range(1, 25)} \n", - " for cluster in range(1, 21)}\n", - " for year in [2022, 2032]}\n", - "\n", - "# Size of each cluster/number of days in a year represented by the cluster\n", - "weights_days = {year: {cluster: lmp_dataset[str(0)][str(year)][str(cluster)][\"num_days\"]\n", - " for cluster in range(1, 21)}\n", - " for year in [2022, 2032]}\n" - ] - }, - { - "cell_type": "markdown", - "id": "boxed-pattern", - "metadata": {}, - "source": [ - "Now, we formulate the multi-period price-taker problem to determine the optimal design and operating decisions maximizing the NPV. The optimization problem is of the form\n", - "$$ \\begin{aligned}\n", - "\\max_{D, u_{t, d}} \\quad & \\text{NPV}(D, u_{t, d})\\\\\n", - "& g(u_{t, d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", - "& h(u_{t, d}) \\le 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", - "& f(u_{t-1,d}, u_{t,d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", - "& u_{t,d} \\le D, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}\n", - "\\end{aligned}$$\n", - "\n", - "Here, the sets $\\mathcal{T} = \\{1, \\dots, 24\\}$ and $\\mathcal{C} = \\{1, \\dots, 20\\}$ denote the set of hours in a day and the set of clusters/days in a year, respectively. $D$ denotes the design decisions (or, first-stage variables) viz. size of the PEM electrolyzer (`pem_capacity`), tank (`tank_capacity`) and the turbine (`turbine_capacity`). $u_{t, d}$ denotes the operating decisions (or, second-stage decisions) at time $t$ of day/cluster $d$. $g(u_{t, d}) = 0$ and $h(u_{t,d}) \\le 0$ denote the flowsheet model, $f(u_{t-1,d}, u_{t,d}) = 0$ connects the operating decisions at time $t-1$ and at time $t$ (e.g., tank holdup), and $u_{t,d} \\le D$ ensures that the operating decision values never exceed the design capacity values (e.g., tank holdup at any time instant must not exceed the tank capacity).\n", - "\n", - "First, we create a `ConcreteModel` object, and define sets and parameters" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "driven-allah", - "metadata": {}, - "outputs": [], - "source": [ - "# Create a ConcreteModel object\n", - "m = ConcreteModel()\n", - "\n", - "# Define sets\n", - "m.set_time = RangeSet(24) # twenty fours in a day\n", - "m.set_days = RangeSet(20) # twenty clusters/days per year\n", - "m.set_years = [2022, 2032] # Set of years\n", - "\n", - "# Define parameters\n", - "m.plant_life = 20 # Plant lifetime: 20 years\n", - "m.tax_rate = 0.2 # Corporate tax rate: 20%\n", - "m.discount_rate = 0.08 # Discount rate: 8%\n", - "m.h2_price = 3 # Selling price of hydrogen: $3/kg\n", - "m.h2_demand = 1 # Maximum amount of hydrogen that can be sold: 1 kg/s\n", - "m.LMP = lmp_deterministic # LMP signal\n", - "m.weights_days = weights_days # number of days represented by each cluster" - ] - }, - { - "cell_type": "markdown", - "id": "167b5f29", - "metadata": {}, - "source": [ - "This might be a temporary cell, but checking to see if the amount of years supplied by the LMP data match the desired project length/plant life.\n", - "In the future, project length and plant lifetime should be separate entities. \n", - "Should also figure out multiplicity (least common multiple) of plant lives. " - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "1cf94ff3", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "LMP Data less than project life\n" - ] - } - ], - "source": [ - "# checking if number of years provided in data match plant_life\n", - "import numpy as np\n", - "\n", - "# list of available years in LMP data\n", - "years = list( m.LMP.keys() )\n", - "n_years_data = len(years)\n", - "\n", - "# template dictionary full of 0s, same structure as LMP\n", - "zeroDict = {cluster: {hour: 0\n", - " for hour in m.set_time} \n", - " for cluster in m.set_days}\n", - "\n", - "## CHECKING THAT WE HAVE ENOUGH DATA FOR SIM ##\n", - "\n", - "# Case where we have less data than the project life/sim time\n", - "# Here, we assume (as in the default nuclear case demo) that\n", - "# the years 2022-2031 all have the same LMP data, which\n", - "# helps to cut down on variables just for the demonstration\n", - "if n_years_data < m.plant_life:\n", - " print(\"LMP Data less than project life\")\n", - " projLifeRange = np.arange( years[0]-1, # year-1 is the construction year\n", - " years[0] + m.plant_life) # full project time with first year of data as starting point\n", - "\n", - " # initializing empty dicts and lists\n", - " newLMP = {} # going to replace existing LMP dictionary\n", - " newYearsVec = [] # list of years used\n", - " stuckYear = 0 # ugly way of duplicating years\n", - "\n", - " # looping through possible years in lifetime (e.g., 2021 -> 2041)\n", - " for i,y in enumerate(projLifeRange):\n", - " # data not available for given year within project lifetime\n", - " if y not in years:\n", - " if i == 0: # construction year\n", - " newLMP[y] = zeroDict\n", - " newYearsVec.append(0)\n", - " else: # duplicate previous year's values\n", - " newLMP[y] = newLMP[y-1]\n", - " newYearsVec.append(stuckYear)\n", - " # data for current year is available in LMP dict\n", - " else:\n", - " stuckYear = y # update year for duplication (word?)\n", - " newLMP[y] = m.LMP[y] # keep current LMP value\n", - " newYearsVec.append(y) # update current year\n", - " \n", - " # save to model object\n", - " m.LMP = newLMP\n", - " m.yearsFullVec = newYearsVec\n", - "\n", - "elif n_years_data > m.plant_life:\n", - " print(\"LMP Data more than project life, must curtail.\")\n", - " # TODO fill this out\n", - "else:\n", - " print(\"LMP Data matches project life\")\n", - " # TODO fill this out\n", - " # years.insert(0,0)" - ] - }, - { - "cell_type": "markdown", - "id": "august-rings", - "metadata": {}, - "source": [ - "As we saw earlier, functions `build_ne_flowsheet` and `fix_dof_and_initialize` yield an initialized square model of the nuclear flowsheet. For the multi-period optimization problem, we now construct a function that can be used to unfix a few degrees of freedom for optimization. The function below\n", - "\n", - "- Unfixes the split fractions of the power splitter. The optimizer then determines the optimal split fraction of the electricity to the grid, and to the PEM electrolyzer.\n", - "- Unfixes the initial tank holdup. The initial tank holdup is governed by the final tank holdup at the previous hour.\n", - "- Unfixes the molar flow rate of hydrogen to the turbine and to the pipeline.\n", - "- Unfixes the molar flow rate of air to the turbine.\n", - "- Adds a constraint to fix the ratio of molar flow rate of air to molar flowrate of hydrogen (fuel-air ratio).\n", - "- Specifies a small non-zero bounds on a few flow variables to avoid convergence issues." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "senior-multimedia", - "metadata": {}, - "outputs": [], - "source": [ - "def unfix_dof(m, **kwargs):\n", - " \"\"\"\n", - " This function unfixes a few degrees of freedom for optimization\n", - " \"\"\"\n", - " # Set defaults in case options are not passed to the function\n", - " options = kwargs.get(\"options\", {})\n", - " air_h2_ratio = options.get(\"air_h2_ratio\", 10.76)\n", - " \n", - " # Unfix the electricity split in the electrical splitter\n", - " m.fs.np_power_split.split_fraction[\"np_to_grid\", 0].unfix()\n", - "\n", - " # Unfix the holdup_previous and outflow variables\n", - " m.fs.h2_tank.tank_holdup_previous.unfix()\n", - " m.fs.h2_tank.outlet_to_turbine.flow_mol.unfix()\n", - " m.fs.h2_tank.outlet_to_pipeline.flow_mol.unfix()\n", - "\n", - " # Unfix the flowrate of air to the mixer\n", - " m.fs.mixer.air_feed.flow_mol.unfix()\n", - "\n", - " # Add a constraint to maintain the air to hydrogen flow ratio\n", - " m.fs.mixer.air_h2_ratio = Constraint(\n", - " expr=m.fs.mixer.air_feed.flow_mol[0] ==\n", - " air_h2_ratio * m.fs.mixer.hydrogen_feed.flow_mol[0])\n", - " \n", - " # Set bounds on variables. A small non-zero value is set as the lower \n", - " # bound on molar flowrates to avoid convergence issues\n", - " m.fs.pem.outlet.flow_mol[0].setlb(0.001)\n", - "\n", - " m.fs.h2_tank.inlet.flow_mol[0].setlb(0.001)\n", - " m.fs.h2_tank.outlet_to_turbine.flow_mol[0].setlb(0.001)\n", - " m.fs.h2_tank.outlet_to_pipeline.flow_mol[0].setlb(0.001)\n", - "\n", - " m.fs.translator.inlet.flow_mol[0].setlb(0.001)\n", - " m.fs.translator.outlet.flow_mol[0].setlb(0.001)\n", - "\n", - " m.fs.mixer.hydrogen_feed.flow_mol[0].setlb(0.001)" - ] - }, - { - "cell_type": "markdown", - "id": "organized-peoples", - "metadata": {}, - "source": [ - "Next, we use the `build_multiperiod_design` function to build the constraints $g(u_{t,d}) = 0$ and $h(u_{t,d}) \\le 0$ $\\forall \\; t \\in \\mathcal{T}$ and $\\forall \\; d \\in \\mathcal{C}$. This function creates an instance of the flowsheet (using the `build_ne_flowsheet` function) for each time instance, fixes its degrees of freedom and initializes it (using the `fix_dof_and_initialize` function), and unfixes operational degrees of freedom (using the `unfix_dof` function) described above. Since we are dealing with multiple days/clusters and multiple years (2022 and 2032 LMP signals), we set the `multiple_days` and `multiyear` argument to `True` (see below. Note that the default value of these arguments is `False`). \n", - "\n", - "**Note**: The function, by default, looks for `m.set_time`, `m.set_days` and `m.set_years` objects for the set of hours, days/clusters and years, respectively. However, if the sets are created using a different set of names, then they must be passed to the function explicitly. E.g. `build_multiperiod_design(m, ..., set_time=m.set_time_object, set_days=m.set_days_object, set_years=m.set_years_object)`.\n", - "\n", - "**Tip**: Building the multiperiod model can take some time. So, set `verbose=True` to moniter the progress" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "democratic-aurora", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[ 0.00] Processing input information.\n", - "[+ 0.00] Beginning the formulation of the multiperiod problem.\n", - "[+ 215.91] Completed the formulation of the multiperiod problem\n", - "2022-08-29 06:31:48 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-08-29 06:31:48 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:48 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:48 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:49 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:49 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-08-29 06:31:49 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:49 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-08-29 06:31:50 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:50 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:50 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:50 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:51 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:51 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:52 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-29 06:31:53 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", - "[+ 6.01] Created an instance of the flowsheet and initialized it.\n", - "[+ 27.33] Initialized the entire multiperiod optimization model.\n", - "[+ 0.68] Unfixed the degrees of freedom from each period model.\n" - ] - } - ], - "source": [ - "# Build initialized multiperiod model: Constraints g(u(t,d)) = 0 and h(u(t,d)) <= 0\n", - "build_multiperiod_design(m,\n", - " flowsheet=build_ne_flowsheet,\n", - " initialization=fix_dof_and_initialize,\n", - " unfix_dof=unfix_dof,\n", - " multiple_days=True,\n", - " multiyear=True,\n", - " verbose=False)" - ] - }, - { - "cell_type": "markdown", - "id": "suited-development", - "metadata": {}, - "source": [ - "Next, we define \n", - "\n", - "- Function `build_connecting_constraints` to declare the design decisions and to build the constraints $f(u_{t-1,d}, u_{t,d}) = 0$ and $u_{t,d} \\le D$. \n", - "- Function `append_costs_and_revenue` to build expressions for all the cash flows (electricity revenue, hydrogen revenue, fixed O&M, variable O&M, depreciation, etc.)\n", - "\n", - "Observe that we assume (Line 39 in the function below) that each day begins with an empty tank (i.e., zero holdup). This is one of the limitations of working with representative days/clusters. The excess storage at the end of each day cannot be transferred to the following day. This limitation can be overcome by formulating an optimization problem for an entire year, instead of a few representative days. This, however, increases the problem size substantially.\n", - "\n", - "**Note**: It is not necessary to define the above functions for the deterministic case. Nevertheless, we do so because it will be useful for the stochastic case, as we shall see in the next section." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "optimum-closing", - "metadata": {}, - "outputs": [], - "source": [ - "def build_connecting_constraints(m, set_time, set_days, set_years):\n", - " \n", - " \"\"\"\n", - " This function declares the first-stage variables or design decisions,\n", - " adds constraints that ensure that the operational variables never exceed their\n", - " design values, and adds constraints connecting variables at t - 1 and t\n", - " \"\"\"\n", - "\n", - " # Declare first-stage variables (Design decisions)\n", - " m.pem_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Maximum capacity of the PEM electrolyzer (in kW)\")\n", - " m.tank_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Maximum holdup of the tank (in mol)\")\n", - " m.h2_turbine_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Maximum power output from the turbine (in W)\")\n", - "\n", - " # Ensure that the electricity to the PEM elctrolyzer does not exceed the PEM capacity\n", - " @m.Constraint(set_time, set_days, set_years)\n", - " def pem_capacity_constraint(blk, t, d, y):\n", - " return blk.period[t, d, y].fs.pem.electricity[0] <= m.pem_capacity\n", - "\n", - " # Ensure that the final tank holdup does not exceed the tank capacity \n", - " @m.Constraint(set_time, set_days, set_years)\n", - " def tank_capacity_constraint(blk, t, d, y):\n", - " return blk.period[t, d, y].fs.h2_tank.tank_holdup[0] <= m.tank_capacity\n", - "\n", - " # Ensure that the power generated by the turbine does not exceed the turbine capacity\n", - " @m.Constraint(set_time, set_days, set_years)\n", - " def turbine_capacity_constraint(blk, t, d, y):\n", - " return (\n", - " - blk.period[t, d, y].fs.h2_turbine.turbine.work_mechanical[0]\n", - " - blk.period[t, d, y].fs.h2_turbine.compressor.work_mechanical[0] <=\n", - " m.h2_turbine_capacity\n", - " )\n", - "\n", - " # Connect the initial tank holdup at time t with the final tank holdup at time t - 1\n", - " @m.Constraint(set_time, set_days, set_years)\n", - " def tank_holdup_constraints(blk, t, d, y):\n", - " if t == 1:\n", - " # Each day begins with an empty tank\n", - " return (\n", - " blk.period[t, d, y].fs.h2_tank.tank_holdup_previous[0] == 0\n", - " )\n", - " else:\n", - " # Initial holdup at time t = final holdup at time t - 1\n", - " return (\n", - " blk.period[t, d, y].fs.h2_tank.tank_holdup_previous[0] ==\n", - " blk.period[t - 1, d, y].fs.h2_tank.tank_holdup[0]\n", - " )" - ] - }, - { - "cell_type": "markdown", - "id": "addressed-mount", - "metadata": {}, - "source": [ - "Next, we use the numbers in the table below for constructing the cash flow expressions.\n", - "\n", - "| Unit | CAPEX | Fixed O&M | Variable O&M |\n", - "| :- | :-: | :-: | :-: |\n", - "| PEM Electrolyzer | \\$1630 /kW | \\$47.9 /kW | \\$1.3 /MWh |\n", - "| Hydrogen tank | \\$29 /kWh | 0 | 0 |\n", - "| Hydrogen turbine | \\$947 /kW | \\$7 /kW | \\$4.25 /Mwh|\n", - "\n", - "We refer the reader to the Simulation of the Flowsheet section for the default units of the decision variables. We convert the cost numbers so that the units are consistent with that of the variable." - ] - }, - { - "cell_type": "markdown", - "id": "01055db2", - "metadata": {}, - "source": [ - "### TEAL: Defining component costs/revenues and corresponding IDAES variables \n", - "\n", - "We now add a template dictionary with all the Nuclear Case components. \n", - "Each plant component has nested dictionaries for each desired TEAL cash flow. \n", - "Note that all cash flows are defined as:\n", - " $$C_y = m \\alpha_y \\bigg(\\frac{D_y}{R}\\bigg)^X$$\n", - "The cash flow $C_y$ is indexed by year, but hourly indeces can also be created and summed per year. Other parameters include $\\alpha$, the reference price, $D_y$ the driver for the cash flow (e.g., number of units sold, hours of electricity produced, etc.), $R$ the reference driver corresponding to $\\alpha$ (optional), $X$ the scaling factor, and $m$ an extra multiplier.\n", - "\n", - "\n", - "The cash flow dictionaries below must have:\n", - "1. an **Expression**: a list of strings of the Pyomo variable name used as the cash flow driver ($D_y$)\n", - "2. a **Value**: the cost per unit ($\\alpha$)\n", - "3. a **Multiplier**: an extra multiplier to distinguish between +/- cash flows ($m$)\n", - "\n", - "Each component must also have a Lifetime but all currently set to be the same. " - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "cbf4c9c2", - "metadata": {}, - "outputs": [], - "source": [ - "components={\n", - " # Electrolyzer: negative Cash flows\n", - " \"pem\":{ \n", - " \"Lifetime\": 20,\n", - " \"Capex\":{\n", - " \"Expressions\": ['pem_capacity'],\n", - " \"Value\": 1630, # $/kW\n", - " \"Multiplier\": [-1],\n", - " },\n", - " \"FixedOM\":{\n", - " \"Expressions\": ['pem_capacity'],\n", - " \"Value\": 47.9, # $/kW\n", - " \"Multiplier\": [-1],\n", - " },\n", - " \"Hourly\":{\n", - " \"Expressions\": ['fs.pem.electricity'],\n", - " \"Value\": 1.3e-3, # $/MWh -> $/kWh\n", - " \"Multiplier\": [-1],\n", - " },\n", - " },\n", - " # Hydrogen Tank: negative Cash flows\n", - " \"h2tank\":{\n", - " \"Lifetime\": 20,\n", - " \"Capex\":{\n", - " \"Expressions\": ['tank_capacity'],\n", - " \"Value\": 1.946851199, # $29/kWh * 33.3 kWh/kg * 2.016e-3 kg/mol\n", - " \"Multiplier\": [-1],\n", - " },\n", - " },\n", - " # Hydrogen Turbine: negative Cash flows\n", - " \"h2turbine\":{ \n", - " \"Lifetime\": 20,\n", - " \"Capex\":{\n", - " \"Expressions\": ['h2_turbine_capacity'],\n", - " \"Value\": 0.947, # $/kW -> $/W\n", - " \"Multiplier\": [-1],\n", - " },\n", - " \"FixedOM\":{\n", - " \"Expressions\": ['h2_turbine_capacity'],\n", - " \"Value\": 0.007, # $/kW -> $/W\n", - " \"Multiplier\": [-1],\n", - " },\n", - " \"Hourly\":{\n", - " \"Expressions\": ['fs.h2_turbine.turbine.work_mechanical',\n", - " 'fs.h2_turbine.compressor.work_mechanical'],\n", - " \"Value\": 4.25e-6, # $/MWh -> $/Wh\n", - " \"Multiplier\": [1, 1], # these values come out with correct sign in expression\n", - " },\n", - " },\n", - " # Electricity Market: positive Cash flows\n", - " \"electricity_market\":{\n", - " \"Lifetime\": 20,\n", - " \"Hourly\":{\n", - " \"Expressions\": ['fs.np_power_split.np_to_grid_port.electricity',\n", - " 'fs.h2_turbine.turbine.work_mechanical',\n", - " 'fs.h2_turbine.compressor.work_mechanical'],\n", - " \"Value\": [], # this is LMP in $/MWh, should be path str to ROM\n", - " \"Multiplier\": [1e-3, -1e-6, -1e-6], # converting to $/kWh and $/Wh\n", - " },\n", - " },\n", - " # Hydrogen Market: positive Cash flows\n", - " \"h2_market\":{\n", - " \"Lifetime\": 20,\n", - " \"Hourly\":{\n", - " \"Expressions\": ['fs.h2_tank.outlet_to_pipeline.flow_mol'], # this is in mol/s\n", - " \"Value\": 3.0, # this is $/kg\n", - " \"Multiplier\": [7.2576] # convert from $/kg -> $/mol and also converting mol/s to mol/hr\n", - " },\n", - " },\n", - "}" - ] - }, - { - "cell_type": "markdown", - "id": "499296f9", - "metadata": {}, - "source": [ - "TEAL: Next, we should initialize global Cash flow attributes within TEAL.\n", - "\n", - "This includes passing discount rates, plant life, etc. from the notebook to an object of TEAL \n", - "global parameters. " - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "418b46b4", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "['pem|Lifetime', 'pem|Capex', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Lifetime', 'h2tank|Capex', 'h2turbine|Lifetime', 'h2turbine|Capex', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Lifetime', 'electricity_market|Hourly', 'h2_market|Lifetime', 'h2_market|Hourly']\n" - ] - } - ], - "source": [ - "import numpy as np\n", - "import operator\n", - "\n", - "# *** HELPER FUNCTIONS / repurposed from TEAL/tests/PyomoTest.py ***\n", - "def build_econ_settings(cfs, life=5, dr=0.1, tax=0.21, infl=0.02184):\n", - " \"\"\"\n", - " Constructs global settings for econ run\n", - " @ In, cfs, CashFlow, cash flow components\n", - " @ In, life, float, life time of the years to evaluate\n", - " @ In, dr, float, discount rate\n", - " @ In, tax, float, the amount of tax ratio to apply\n", - " @ In, infl, float, the amount of inflation ratio to apply\n", - " @ Out, settings, CashFlow.GlobalSettings, settings\n", - " \"\"\"\n", - " active = []\n", - " for comp_name, cf_list in cfs.items():\n", - " for cf in cf_list:\n", - " active.append(f'{comp_name}|{cf}')\n", - " print(active)\n", - " params = {'DiscountRate': dr,\n", - " 'tax': tax,\n", - " 'inflation': infl,\n", - " 'ProjectTime': life,\n", - " 'Indicator': {'name': ['NPV'], # TODO: check IRR, PI\n", - " 'active': active}\n", - " }\n", - " settings = CashFlows.GlobalSettings()\n", - " settings.setParams(params)\n", - " settings._verbosity = 0\n", - " return settings\n", - "\n", - "\n", - "# using full plant life = 20 yrs\n", - "# LMP signal only uses 2 years... need to resolve when creating recurring cash flows\n", - "tealSettings = build_econ_settings(components,\n", - " life=m.plant_life,\n", - " dr=m.discount_rate,\n", - " tax=m.tax_rate)" - ] - }, - { - "cell_type": "markdown", - "id": "f93fefce", - "metadata": {}, - "source": [ - "TEAL: More helper methods distinguish between creating Capex, and recurring (hourly vs yearly) TEAL cash flows." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "0b30e827", - "metadata": {}, - "outputs": [], - "source": [ - "def createCapex(comp, alpha, driver, life):\n", - " \"\"\"\n", - " Constructs the parameters for capital expenditures\n", - " @ In, comp, TEAL.src.CashFlows.Component, main structure to add component cash flows\n", - " @ In, alpha, float, price\n", - " @ In, driver, pyomo.core.base.var.ScalarVar, quantity sold\n", - " @ Out, cf, TEAL.src.CashFlows.Component, cashflow sale for each capital expenditures\n", - " \"\"\"\n", - " # extract alpha, driver as just one value\n", - " cf = CashFlows.Capex()\n", - " cf.name = 'Cap'\n", - " # life = comp._lifetime\n", - " cf.initParams(life)\n", - " cfParams = {'name': 'Cap',\n", - " 'alpha': alpha,\n", - " 'driver': driver,\n", - " 'reference': 1.0,\n", - " 'X': 1.0,\n", - " 'depreciate': 1,\n", - " 'mult_target': None,\n", - " 'inflation': False,\n", - " }\n", - " cf.setParams(cfParams)\n", - " return cf\n", - "\n", - "\n", - "def createRecurringYearly(comp, alpha, driver, lifeVector):\n", - " \"\"\"\n", - " Constructs the parameters for capital expenditures\n", - " @ In, comp, TEAL.src.CashFlows.Component, main structure to add component cash flows\n", - " @ In, alpha, float, yearly price to populate\n", - " @ In, driver, pyomo.core.base.var.ScalarVar, quantity sold to populate\n", - " @ Out, cf, TEAL.src.CashFlows.Component, cashflow sale for the recurring yearly\n", - " \"\"\"\n", - " cf = CashFlows.Recurring()\n", - " cfParams = {'name': 'FixedOM',\n", - " 'X': 1,\n", - " 'mult_target': None,\n", - " 'inflation': False}\n", - " cf.setParams(cfParams)\n", - "\n", - " # convert to binary mask, includes a zero for year 0 (construction)\n", - " projYears = np.array([y>1 for y in lifeVector], dtype=int)\n", - " projYears = projYears.astype(object)\n", - "\n", - " # 0 for first year (build year) -> TODO couldn't this be automatic?\n", - " alphas = projYears * alpha\n", - " drivers = projYears * driver\n", - "\n", - " # construct annual summary cashflows\n", - " cf.computeYearlyCashflow(alphas, drivers)\n", - " return cf\n", - "\n", - "\n", - "def createRecurringHourly(comp, alpha, driver, projLife):\n", - " \"\"\"\n", - " Constructs recurring cashflow with one value per hour\n", - " @ In, dfSet, tuple, includes pandas.Dataframe, dict of inputs, and pyomo concrete model loaded\n", - " sto run\n", - " @ In, comp, CashFlow.Component, component this cf will belong to\n", - " @ In, driver, string, variable name in df to take driver from\n", - " @ In, alpha, string, variable name in df to take alpha from\n", - " @ Out, comps, dict, dict mapping names to CashFlow component objects\n", - " \"\"\"\n", - " projLife += 1\n", - " print('DEBUGG cRH life:', comp.name, projLife)\n", - " cf = CashFlows.Recurring()\n", - " cfParams = {'name': 'Hourly',\n", - " 'X': 1,\n", - " 'mult_target': None,\n", - " 'inflation': False}\n", - " cf.setParams(cfParams)\n", - " cf.initParams(projLife, pyomoVar=True)\n", - " for year in range(projLife):\n", - " if isinstance(alpha, float):\n", - " cf.computeIntrayearCashflow(year, alpha, driver[year, :])\n", - " else:\n", - " cf.computeIntrayearCashflow(year, alpha[year, :], driver[year, :])\n", - " return cf" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "2df7b4f5", - "metadata": {}, - "outputs": [], - "source": [ - "def getCapexVarFromModel(comp, cfDict, mdl):\n", - " alpha = cfDict['Value']\n", - " mults = cfDict['Multiplier']\n", - " exprs = cfDict['Expressions']\n", - " assert( len(mults)==len(exprs) ) # NOTE: Multiplier same length as Driver\n", - "\n", - " pyomoExpr = [operator.attrgetter(exprs[i])(mdl) for i in range(len(exprs))]\n", - " driver = [m*pexp for m, pexp in zip(mults, pyomoExpr)]\n", - " driver = driver[0]\n", - " return alpha, driver\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "463cfe9b", - "metadata": {}, - "outputs": [], - "source": [ - "def getDispatchVarFromModel(comp, cfDict, mdl):\n", - " alpha = cfDict['Value']\n", - " mults = cfDict['Multiplier']\n", - " exprs = cfDict['Expressions']\n", - " assert( len(mults)==len(exprs) ) # NOTE: Multiplier same length as Driver\n", - "\n", - " # time indeces for HERON/TEAL\n", - " n_hours = len(mdl.set_time)\n", - " n_days = len(mdl.set_days)\n", - " n_years = len(mdl.set_years)\n", - " n_projLife = mdl.plant_life + 1\n", - "\n", - " yearsMaskArray = mdl.yearsFullVec # looks like [0, 2022, 2022, 2022, 2022, ... 2032, ... ]\n", - " \n", - " n_hours_per_year = n_hours * n_days # sometimes number of days refers to clusters < 365\n", - "\n", - " dispatch_array = np.zeros((n_projLife, n_hours_per_year), dtype=object)\n", - "\n", - " indeces = np.array([tuple(i) for i in mdl.period_index], dtype=\"i,i,i\")\n", - " time_shape = (n_years, n_hours_per_year) # reshaping the tuples array to match HERON dispatch\n", - " indeces = indeces.reshape(time_shape)\n", - "\n", - " # currently, taking this to mean that we are using the LMP signal... \n", - " # TODO: needs to be more general here\n", - " if alpha == []:\n", - " signal = mdl.LMP\n", - "\n", - " # # plus 1 to year term to allow for 0 recurring costs during build year\n", - " # alpha = np.zeros([n_projLife, n_hours_per_year])\n", - " # it necessary to have alpha be [year, clusterhour] instead of [year, cluster, hour]\n", - " # clusterhour loops through hours first, then cluster\n", - " alpha = [[signal[y][d][h] \\\n", - " for d in mdl.set_days\n", - " for h in mdl.set_time] # order here matches *indeces*\n", - " for y in mdl.LMP.keys()] #shape here is [year, hour]\n", - " # # first column of year axis is 0 for project year 0\n", - " alpha = np.array(alpha)\n", - " # alpha[1:,:] = realized_alpha\n", - "\n", - " # TODO: check that all periods and LMPs match up...\n", - " pcount = -1\n", - " for p, pyear in enumerate(yearsMaskArray):\n", - " if pyear == 0:\n", - " continue\n", - "\n", - " if pyear > yearsMaskArray[p-1]:\n", - " pcount +=1\n", - "\n", - " for time in range(n_hours_per_year):\n", - " ind = tuple(indeces[pcount,time])\n", - " # looping through all DISPATCHES variables pertaining to this specific dispatch\n", - " # e.g., turbine costs due to work done by turbine + compressor, separate variables\n", - " dispatch_driver = 0\n", - " for ds, dStr in enumerate(exprs):\n", - " dispatch_driver += operator.attrgetter(dStr)(mdl.period[ind])[0] * mults[ds]\n", - "\n", - " # getting weights for each day/cluster\n", - " dy, yr = ind[1:]\n", - " weight = mdl.weights_days[yr][dy] # extracting weight for year + day\n", - "\n", - " # storing individual Pyomo dispatch\n", - " dispatch_array[p, time] = dispatch_driver * weight\n", - "\n", - " return alpha, dispatch_array\n" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "e9157024", - "metadata": {}, - "outputs": [], - "source": [ - "def buildTealComponent(name, comp, mdl):\n", - " life = comp['Lifetime']\n", - " projLife = len(mdl.set_years) + 1\n", - " tealComp = CashFlows.Component()\n", - " tealComp.setParams({'name': name, \n", - " 'Life_time': comp['Lifetime']})\n", - " cashFlows = []\n", - "\n", - " ## check years vs projLife\n", - "\n", - " for cfName, cfDict in comp.items():\n", - " if cfName == 'Capex':\n", - " alpha, driver = getCapexVarFromModel(comp, cfDict, mdl)\n", - " capex = createCapex(tealComp, alpha, driver, m.plant_life)\n", - " cashFlows.append(capex)\n", - "\n", - " capex.setAmortization('MACRS', 15)\n", - " amorts = tealComp._createDepreciation(capex)\n", - " cashFlows.extend(amorts)\n", - " \n", - " elif cfName == 'FixedOM':\n", - " alpha, driver = getCapexVarFromModel(comp, cfDict, mdl)\n", - " fixedOM = createRecurringYearly(tealComp, alpha, driver, mdl.yearsFullVec)\n", - " cashFlows.append(fixedOM)\n", - " \n", - " elif cfName == 'Hourly':\n", - " alpha, driver = getDispatchVarFromModel(comp, cfDict, mdl)\n", - " hourly = createRecurringHourly(tealComp, alpha, driver, m.plant_life)\n", - " cashFlows.append(hourly)\n", - " \n", - "\n", - " tealComp.addCashflows(cashFlows)\n", - " return tealComp\n" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "qualified-bargain", - "metadata": {}, - "outputs": [], - "source": [ - "def append_costs_and_revenue(m, ps, LMP):\n", - " \"\"\"\n", - " ps: Object containing information on sets and parameters\n", - " LMP: Dictionary containing the LMP data\n", - " \"\"\"\n", - "\n", - " set_time = ps.set_time # Set of hours\n", - " set_days = ps.set_days # Set of days/clusters\n", - " set_years = ps.set_years # Set of years\n", - " weights_days = ps.weights_days # Weights associated with each cluster\n", - "\n", - " h2_sp = ps.h2_price # Selling price of hydrogen\n", - " plant_life = ps.plant_life # Plant lifetime\n", - " tax_rate = ps.tax_rate # Corporate tax rate\n", - " discount_rate = ps.discount_rate # Discount rate\n", - " \n", - " years_vec = [y - set_years[0] + 1 for y in set_years]\n", - " years_vec.append(plant_life + 1)\n", - " weights_years = {y: sum(1 / (1 + discount_rate) ** i\n", - " for i in range(years_vec[j], years_vec[j + 1]))\n", - " for j, y in enumerate(set_years)}\n", - "\n", - " # PEM CAPEX: $1630/kWh and pem_capacity is in kW,\n", - " # Tank CAPEX: $29/kWh, the LHV of hydrogen is 33.3 kWh/kg,\n", - " # the molecular mass of hydrogen is 2.016e-3 kg/mol and\n", - " # tank_capacity is in moles \n", - " # Turbine CAPEX: $947/kWh and turbine_capacity is in W\n", - " m.capex = Expression(\n", - " expr=(1630 * m.pem_capacity +\n", - " (29 * 33.3 * 2.016e-3) * m.tank_capacity +\n", - " (947 / 1000) * m.h2_turbine_capacity),\n", - " doc=\"Total capital cost (in USD)\"\n", - " )\n", - "\n", - " # Fixed O&M of PEM: $47.9/kW\n", - " # Fixed O&M of turbine: $7/kW\n", - " @m.Expression(set_years,\n", - " doc=\"Fixed O&M cost per year (in USD)\")\n", - " def fixed_om_cost(blk, y):\n", - " return (\n", - " 47.9 * m.pem_capacity + 7e-3 * m.h2_turbine_capacity\n", - " )\n", - "\n", - " # Variable O&M: PEM: $1.3/MWh and turbine: $4.25/MWh\n", - " @m.Expression(set_years,\n", - " doc=\"Total variable O&M cost per year (in USD)\")\n", - " def variable_om_cost(blk, y):\n", - " return (\n", - " (1.3 * 1e-3) * sum(weights_days[y][d] * blk.period[t, d, y].fs.pem.electricity[0]\n", - " for t in set_time for d in set_days) +\n", - " (4.25 * 1e-6) * sum(weights_days[y][d] * (\n", - " - blk.period[t, d, y].fs.h2_turbine.turbine.work_mechanical[0]\n", - " - blk.period[t, d, y].fs.h2_turbine.compressor.work_mechanical[0])\n", - " for t in set_time for d in set_days)\n", - " )\n", - "\n", - " @m.Expression(set_years,\n", - " doc=\"Revenue generated by selling electricity per year (in USD)\")\n", - " def electricity_revenue(blk, y):\n", - " return (\n", - " sum(weights_days[y][d] * LMP[y][d][t] *\n", - " (blk.period[t, d, y].fs.np_power_split.np_to_grid_port.electricity[0] * 1e-3 -\n", - " blk.period[t, d, y].fs.h2_turbine.turbine.work_mechanical[0] * 1e-6 -\n", - " blk.period[t, d, y].fs.h2_turbine.compressor.work_mechanical[0] * 1e-6)\n", - " for t in set_time for d in set_days)\n", - " )\n", - "\n", - " @m.Expression(set_years,\n", - " doc=\"Revenue generated by selling hydrogen per year (in USD)\")\n", - " def h2_revenue(blk, y):\n", - " return (\n", - " h2_sp * 2.016e-3 * 3600 *\n", - " sum(weights_days[y][d] *\n", - " blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0]\n", - " for t in set_time for d in set_days)\n", - " )\n", - "\n", - " @m.Expression(set_years,\n", - " doc=\"Depreciation value per year (in USD)\")\n", - " def depreciation(blk, y):\n", - " return (\n", - " blk.capex / plant_life\n", - " )\n", - "\n", - " @m.Expression(set_years,\n", - " doc=\"Net profit per year (in USD)\")\n", - " def net_profit(blk, y):\n", - " return (\n", - " blk.depreciation[y] + (1 - tax_rate) * (+ blk.h2_revenue[y]\n", - " + blk.electricity_revenue[y]\n", - " - blk.fixed_om_cost[y]\n", - " - blk.variable_om_cost[y]\n", - " - blk.depreciation[y])\n", - " )\n", - "\n", - " m.npv = Expression(\n", - " expr=sum(weights_years[y] * m.net_profit[y] for y in set_years) - m.capex,\n", - " doc=\"Net present value (in USD)\"\n", - " )" - ] - }, - { - "cell_type": "markdown", - "id": "banner-native", - "metadata": {}, - "source": [ - "We now build the remaining constraints and the objective function by calling `build_connecting_constraints` and `append_cost_and_revenue` functions, and solve the optimization problem." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "republican-diagnosis", - "metadata": {}, - "outputs": [], - "source": [ - "# Build the connecting constraints\n", - "build_connecting_constraints(m, \n", - " set_time=m.set_time, \n", - " set_days=m.set_days,\n", - " set_years=m.set_years)\n", - "\n", - "# Hydrogen demand constraint. divide the RHS by the molecular mass to convert kg/s to mol/s\n", - "@m.Constraint(m.set_time, m.set_days, m.set_years)\n", - "def hydrogen_demand_constraint(blk, t, d, y):\n", - " return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / 2.016e-3\n", - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "c5844dcd", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", - " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", - " 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", - " 0. 0. 0.]\n", - "DEBUGG cRH life: pem 21\n", - "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", - " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", - " 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", - " 0. 0. 0.]\n", - "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059 0.0591\n", - " 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0. 0. 0.\n", - " 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", - " 0. 0. 0.]\n", - "DEBUGG cRH life: h2turbine 21\n", - "DEBUGG cRH life: electricity_market 21\n", - "DEBUGG cRH life: h2_market 21\n", - "CashFlow INFO (run): Starting CashFlow Run ...\n", - "CashFlow INFO (run): ... Checking if all drivers present ...\n", - "CashFlow INFO (checkDrivers): ... creating evaluation sequence ...\n", - "CashFlow INFO (checkDrivers): ... evaluation sequence: ['pem|Cap', 'pem|pem_amortize_Cap', 'pem|pem_depreciate_Cap', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Cap', 'h2tank|h2tank_amortize_Cap', 'h2tank|h2tank_depreciate_Cap', 'h2turbine|Cap', 'h2turbine|h2turbine_amortize_Cap', 'h2turbine|h2turbine_depreciate_Cap', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Hourly', 'h2_market|Hourly']\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: electricity_market \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2_market \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): Project Lifetime Cashflow Calculations\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): ... project length: 21 years\n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"pem\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 21\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_amortize_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_amortize_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_depreciate_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_depreciate_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"FixedOM\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Hourly\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2tank\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 21\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - 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"CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - 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"CashFlow INFO (proj comp): ... component end: 21\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2_market\" CashFlow \"Hourly\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - 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"CashFlow INFO (FCFF): 10: \n", - "CashFlow INFO (FCFF): 11: \n", - "CashFlow INFO (FCFF): 12: \n", - "CashFlow INFO (FCFF): 13: \n", - "CashFlow INFO (FCFF): 14: \n", - "CashFlow INFO (FCFF): 15: \n", - "CashFlow INFO (FCFF): 16: \n", - "CashFlow INFO (FCFF): 17: \n", - "CashFlow INFO (FCFF): 18: \n", - "CashFlow INFO (FCFF): 19: \n", - "CashFlow INFO (FCFF): 20: \n", - "CashFlow INFO (NPV): ... NPV: \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\Users\\sotogj\\projects\\TEAL\\src\\main.py:418: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n", - " projCf[nonBuildMask] += lifeCf[relativeOperation[relativeOperation!=0]] * taxMult * np.power(inflRate, -1*years[nonBuildMask])\n" - ] - } - ], - "source": [ - "# # Append cash flow expressions\n", - "# append_costs_and_revenue(m,\n", - "# ps=m,\n", - "# LMP=m.LMP)\n", - "#=================================================\n", - "tealComponentList = []\n", - "for name, comp in components.items():\n", - " tealComp = buildTealComponent(name, comp, m)\n", - " tealComponentList.append(tealComp)\n", - "\n", - "metrics = RunCashFlow.run(tealSettings, tealComponentList, {}, pyomoVar=True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "71991e45", - "metadata": {}, - "outputs": [], - "source": [ - "# print(m.npv.expr)\n", - "with open(\"TEAL_output.txt\", \"w\") as text_file:\n", - " # text_file.write(str(m.npv.expr))\n", - " text_file.write(str(metrics['NPV']))" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "d7355a37", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CashFlow INFO (run): Starting CashFlow Run ...\n", - "CashFlow INFO (run): ... Checking if all drivers present ...\n", - "CashFlow INFO (checkDrivers): ... creating evaluation sequence ...\n", - "CashFlow INFO (checkDrivers): ... evaluation sequence: ['pem|Cap', 'pem|pem_amortize_Cap', 'pem|pem_depreciate_Cap', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Cap', 'h2tank|h2tank_amortize_Cap', 'h2tank|h2tank_depreciate_Cap', 'h2turbine|Cap', 'h2turbine|h2turbine_amortize_Cap', 'h2turbine|h2turbine_depreciate_Cap', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Hourly', 'h2_market|Hourly']\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: pem \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2tank \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2turbine \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: electricity_market \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "DEBUGG comp: h2_market \n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): Project Lifetime Cashflow Calculations\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): ... project length: 21 years\n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"pem\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 21\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_amortize_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_amortize_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_depreciate_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_depreciate_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"FixedOM\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Hourly\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2tank\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 21\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_amortize_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_depreciate_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2turbine\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 21\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2turbine_amortize_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2turbine_depreciate_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"FixedOM\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Hourly\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"electricity_market\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 21\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"electricity_market\" CashFlow \"Hourly\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2_market\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 21\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2_market\" CashFlow \"Hourly\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): 6: \n", - "CashFlow INFO (proj comp): 7: \n", - "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", - "CashFlow INFO (proj comp): 11: \n", - "CashFlow INFO (proj comp): 12: \n", - "CashFlow INFO (proj comp): 13: \n", - "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", - "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", - "CashFlow INFO (proj comp): 20: \n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): Economic Indicator Calculations\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (FCFF): FCFF yearly (not discounted):\n", - "CashFlow INFO (FCFF): year, FCFF\n", - "CashFlow INFO (FCFF): 0: \n", - "CashFlow INFO (FCFF): 1: \n", - "CashFlow INFO (FCFF): 2: \n", - "CashFlow INFO (FCFF): 3: \n", - "CashFlow INFO (FCFF): 4: \n", - "CashFlow INFO (FCFF): 5: \n", - "CashFlow INFO (FCFF): 6: \n", - "CashFlow INFO (FCFF): 7: \n", - "CashFlow INFO (FCFF): 8: \n", - "CashFlow INFO (FCFF): 9: \n", - "CashFlow INFO (FCFF): 10: \n", - "CashFlow INFO (FCFF): 11: \n", - "CashFlow INFO (FCFF): 12: \n", - "CashFlow INFO (FCFF): 13: \n", - "CashFlow INFO (FCFF): 14: \n", - "CashFlow INFO (FCFF): 15: \n", - "CashFlow INFO (FCFF): 16: \n", - "CashFlow INFO (FCFF): 17: \n", - "CashFlow INFO (FCFF): 18: \n", - "CashFlow INFO (FCFF): 19: \n", - "CashFlow INFO (FCFF): 20: \n", - "CashFlow INFO (NPV): ... NPV: \n", - "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", - "tol=1e-06\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.14.7, running with linear solver MUMPS 5.5.0.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 580760\n", - "Number of nonzeros in inequality constraint Jacobian.: 7680\n", - "Number of nonzeros in Lagrangian Hessian.............: 195840\n", - "\n", - "Total number of variables............................: 211203\n", - " variables with only lower bounds: 20163\n", - " variables with lower and upper bounds: 176640\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 208320\n", - "Total number of inequality constraints...............: 3840\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 3840\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -1.1949854e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -1.4615999e+09 1.91e+05 2.08e+04 -1.0 2.80e+06 - 8.11e-04 8.91e-01f 1\n", - " 2 -1.4971840e+09 7.77e+03 1.27e+04 -1.0 5.00e+05 - 1.82e-03 9.90e-01f 1\n", - " 3 -1.4976246e+09 2.28e+02 6.53e+03 -1.0 9.98e+03 - 2.59e-01 9.71e-01h 1\n", - " 4 -1.4976368e+09 3.55e+01 2.38e+05 -1.0 7.90e+01 -4.0 4.37e-02 8.22e-01h 1\n", - " 5 -1.4976366e+09 4.60e+01 3.57e+05 -1.0 3.46e+03 - 2.43e-03 9.75e-02f 1\n", - " 6 -1.4976412e+09 5.18e+01 9.16e+05 -1.0 1.89e+03 - 4.39e-01 1.00e+00f 1\n", - " 7 -1.4976420e+09 4.52e+01 6.58e+06 -1.0 3.71e+02 -4.5 9.22e-01 1.25e-01f 4\n", - " 8 -1.4976553e+09 1.67e+01 3.59e+06 -1.0 1.42e+03 -5.0 4.40e-01 4.53e-01f 2\n", - " 9 -1.4977569e+09 2.01e+00 3.87e+05 -1.0 8.25e+02 -5.4 4.00e-02 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -1.4979926e+09 1.22e+01 3.49e+05 -1.0 2.36e+03 -5.9 1.00e-01 1.00e+00f 1\n", - " 11 -1.4987457e+09 3.13e+02 3.17e+05 -1.0 7.13e+03 - 9.13e-02 1.00e+00f 1\n", - " 12 -1.4993552e+09 7.13e+00 2.47e+05 -1.0 4.50e+03 -6.4 2.19e-01 1.00e+00f 1\n", - " 13 -1.5014293e+09 3.18e+00 2.21e+05 -1.0 1.41e+04 - 1.09e-01 1.00e+00f 1\n", - " 14 -1.5034098e+09 8.92e-02 1.72e+05 -1.0 1.02e+04 -6.9 2.22e-01 1.00e+00f 1\n", - " 15 -1.5114236e+09 2.36e-01 1.55e+05 -1.0 3.84e+04 - 9.59e-02 1.00e+00f 1\n", - " 16 -1.5312970e+09 2.62e-01 1.36e+05 -1.0 8.03e+04 - 1.21e-01 1.00e+00f 1\n", - " 17 -1.5541824e+09 1.38e-01 1.22e+05 -1.0 2.04e+05 - 1.04e-01 4.21e-01f 1\n", - " 18 -1.5544114e+09 1.37e-01 1.02e+05 -1.0 1.78e+05 - 1.63e-01 4.96e-03f 1\n", - " 19 -1.5544217e+09 1.28e-01 2.27e+04 -1.0 2.81e+04 - 7.78e-01 6.77e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20 -1.5545105e+09 3.93e-02 1.79e+04 -1.0 7.49e+04 - 2.10e-01 4.91e-01f 1\n", - " 21 -1.5545340e+09 4.09e-01 1.61e+04 -1.0 6.34e+04 - 1.03e-01 1.88e-01f 1\n", - " 22 -1.5545517e+09 4.25e-01 1.39e+04 -1.0 6.01e+04 - 1.38e-01 1.62e-01f 1\n", - " 23 -1.5545792e+09 4.51e-01 1.16e+04 -1.0 5.87e+04 - 1.67e-01 2.76e-01f 1\n", - " 24 -1.5545853e+09 3.85e-03 2.13e+03 -1.0 5.75e+02 -6.1 8.16e-01 1.00e+00f 1\n", - " 25 -1.5546662e+09 1.18e-01 1.70e+03 -1.0 2.67e+05 - 1.99e-01 2.46e-01f 1\n", - " 26 -1.5546749e+09 4.85e-01 1.38e+03 -1.0 1.19e+05 - 1.89e-01 3.91e-01f 1\n", - " 27 -1.5546741e+09 4.26e-01 1.03e+03 -1.0 7.38e+04 - 2.56e-01 4.91e-01f 1\n", - " 28 -1.5546738e+09 4.11e-01 7.07e+02 -1.0 5.17e+04 - 3.12e-01 6.62e-01f 1\n", - " 29 -1.5546622e+09 4.05e-01 4.30e+02 -1.0 2.89e+04 - 3.92e-01 9.28e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30 -1.5546621e+09 2.03e-01 2.87e+02 -1.0 2.26e+01 -3.9 3.33e-01 5.00e-01f 2\n", - " 31 -1.5546620e+09 2.76e-06 2.84e+00 -1.0 1.04e+01 -4.4 9.90e-01 1.00e+00h 1\n", - " 32 -1.5546440e+09 1.75e-01 1.45e+02 -1.0 3.37e+04 - 4.34e-01 1.00e+00f 1\n", - " 33 -1.5546332e+09 3.03e-01 8.32e+01 -1.0 2.67e+04 - 6.71e-01 1.00e+00f 1\n", - " 34 -1.5546332e+09 5.61e-06 5.99e-04 -1.0 5.77e+00 -4.9 1.00e+00 1.00e+00h 1\n", - " 35 -1.5546366e+09 2.41e-06 4.26e+06 -3.8 4.47e+01 -4.5 9.98e-01 5.71e-01f 1\n", - " 36 -1.5546379e+09 1.13e-06 2.00e+06 -3.8 2.63e+01 -4.1 7.17e-01 5.31e-01f 1\n", - " 37 -1.5546386e+09 3.47e-07 6.16e+05 -3.8 1.23e+01 -3.7 7.36e-01 6.92e-01f 1\n", - " 38 -1.5546417e+09 1.63e-04 6.15e+05 -3.8 7.90e+07 - 2.54e-03 3.06e-05f 1\n", - " 39 -1.5546424e+09 1.11e-04 4.16e+05 -3.8 8.03e+01 -4.6 8.88e-03 3.22e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40 -1.5546435e+09 1.30e-04 4.15e+05 -3.8 3.22e+07 - 1.90e-03 2.78e-05f 1\n", - " 41 -1.5546436e+09 1.24e-04 3.97e+05 -3.8 3.45e+02 -4.7 1.19e-01 4.40e-02f 1\n", - " 42 -1.5546437e+09 1.08e-04 3.49e+05 -3.8 3.36e+01 -4.2 9.58e-01 1.28e-01f 1\n", - " 43 -1.5546440e+09 9.33e-05 3.01e+05 -3.8 8.48e+01 -4.7 8.68e-01 1.40e-01f 1\n", - " 44 -1.5546442e+09 5.98e-05 1.92e+05 -3.8 3.21e+01 -4.3 1.00e+00 3.60e-01f 1\n", - " 45 -1.5546445e+09 4.64e-05 1.49e+05 -3.8 9.40e+01 -4.8 1.00e+00 2.23e-01f 1\n", - " 46 -1.5547218e+09 1.03e-01 1.48e+05 -3.8 8.27e+07 - 9.63e-03 7.13e-04f 1\n", - " 47 -1.5548137e+09 2.19e-01 9.16e+04 -3.8 7.40e+06 - 3.82e-01 1.04e-02f 1\n", - " 48 -1.5548165e+09 1.89e-01 9.82e+02 -3.8 1.96e+04 - 1.00e+00 1.36e-01f 1\n", - " 49 -1.5548186e+09 1.07e-01 5.16e+02 -3.8 4.95e+03 - 1.00e+00 4.28e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50 -1.5548186e+09 6.65e-02 2.78e+04 -3.8 1.32e+01 -4.9 4.53e-01 3.76e-01f 1\n", - " 51 -1.5548187e+09 3.40e-02 2.09e+03 -3.8 2.82e+00 -3.5 1.00e+00 4.88e-01f 1\n", - " 52 -1.5548187e+09 1.63e-02 6.14e+03 -3.8 5.74e+00 -4.0 1.00e+00 5.21e-01f 1\n", - " 53 -1.5548187e+09 7.73e-03 1.86e+03 -3.8 1.92e+00 -3.6 1.00e+00 5.26e-01f 1\n", - " 54 -1.5548201e+09 8.03e-03 1.18e+03 -3.8 3.42e+04 - 3.67e-01 5.38e-02f 1\n", - " 55 -1.5548206e+09 8.82e-03 3.37e+02 -3.8 2.34e+03 - 7.15e-01 2.76e-01f 1\n", - " 56 -1.5548208e+09 6.49e-03 8.45e+01 -3.8 3.72e+02 - 1.00e+00 5.76e-01f 1\n", - " 57 -1.5548208e+09 5.56e-05 1.05e-02 -3.8 2.87e+00 -4.1 1.00e+00 1.00e+00f 1\n", - " 58 -1.5548208e+09 8.55e-04 3.86e-02 -3.8 7.59e+01 - 1.00e+00 1.00e+00f 1\n", - " 59 -1.5548208e+09 1.99e-03 3.47e-03 -3.8 2.35e+01 - 1.00e+00 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60 -1.5548208e+09 4.94e-06 1.06e-05 -3.8 8.19e-01 - 1.00e+00 1.00e+00h 1\n", - " 61 -1.5548209e+09 5.06e-04 1.36e+02 -5.7 1.57e+02 - 8.50e-01 3.91e-01f 1\n", - " 62 -1.5548209e+09 1.93e-04 3.31e+02 -5.7 1.76e-01 -2.9 6.31e-01 6.17e-01f 1\n", - " 63 -1.5548209e+09 1.02e-04 1.09e+02 -5.7 3.95e-01 -3.4 7.81e-01 4.70e-01f 1\n", - " 64 -1.5548209e+09 9.86e-05 1.06e+02 -5.7 5.68e+02 - 1.84e-02 3.26e-02f 1\n", - " 65 -1.5548209e+09 9.57e-05 1.01e+02 -5.7 2.34e+02 - 5.27e-02 3.65e-02f 1\n", - " 66 -1.5548209e+09 9.41e-05 8.51e+01 -5.7 1.07e+02 - 1.74e-01 2.54e-02f 1\n", - " 67 -1.5548209e+09 9.21e-05 7.84e+01 -5.7 5.69e+01 - 8.52e-02 3.22e-02f 1\n", - " 68 -1.5548209e+09 8.71e-05 7.19e+01 -5.7 4.02e+01 - 8.41e-02 8.12e-02f 1\n", - " 69 -1.5548209e+09 2.41e-05 1.48e+01 -5.7 7.32e-02 -2.6 4.83e-01 7.23e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70 -1.5548209e+09 1.14e-05 8.93e+00 -5.7 1.65e-01 -3.1 7.54e-01 5.25e-01f 1\n", - " 71 -1.5548209e+09 1.93e-05 8.77e+00 -5.7 6.95e+01 - 1.38e-02 4.46e-02f 1\n", - " 72 -1.5548209e+09 1.54e-05 7.72e+00 -5.7 7.65e-01 -4.1 5.75e-01 2.00e-01f 1\n", - " 73 -1.5548209e+09 2.89e-05 7.50e+00 -5.7 3.88e+01 - 2.49e-02 5.32e-02f 1\n", - " 74 -1.5548209e+09 4.62e-05 6.66e+00 -5.7 1.86e+01 - 1.17e-01 7.67e-02f 1\n", - " 75 -1.5548209e+09 7.72e-05 1.30e+01 -5.7 5.24e+00 - 9.58e-01 1.64e-01f 1\n", - " 76 -1.5548209e+09 1.97e-04 5.82e-05 -5.7 4.36e-01 - 1.00e+00 1.00e+00f 1\n", - " 77 -1.5548209e+09 1.66e-07 3.67e-07 -5.7 5.76e-02 -5.5 1.00e+00 1.00e+00h 1\n", - " 78 -1.5548209e+09 2.59e-07 1.76e+01 -7.0 5.80e-01 - 9.95e-01 5.73e-01f 1\n", - " 79 -1.5548209e+09 4.80e-08 8.56e+01 -7.0 2.46e-01 - 6.25e-01 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80 -1.5548209e+09 5.66e-10 1.16e-09 -7.0 1.04e-03 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 80\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: -2.6084237389827598e+07 -1.5548209326425235e+09\n", - "Dual infeasibility......: 1.1645811194840818e-09 6.9417981260984143e-08\n", - "Constraint violation....: 1.1641532182693481e-10 5.6555737870667144e-10\n", - "Variable bound violation: 6.2716869560133087e-09 6.2716869560133087e-09\n", - "Complementarity.........: 9.1552855412841452e-08 5.4572535095311482e-06\n", - "Overall NLP error.......: 9.1552855412841452e-08 5.4572535095311482e-06\n", - "\n", - "\n", - "Number of objective function evaluations = 86\n", - "Number of objective gradient evaluations = 81\n", - "Number of equality constraint evaluations = 86\n", - "Number of inequality constraint evaluations = 86\n", - "Number of equality constraint Jacobian evaluations = 81\n", - "Number of inequality constraint Jacobian evaluations = 81\n", - "Number of Lagrangian Hessian evaluations = 80\n", - "Total seconds in IPOPT = 256.985\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "data": { - "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212160, 'Number of variables': 211203, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 259.56267189979553}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Append cash flow expressions\n", - "# append_costs_and_revenue(m,\n", - "# ps=m,\n", - "# LMP=m.LMP)\n", - "\n", - "#=================================================\n", - "# tealComponentList = []\n", - "# for name, comp in components.items():\n", - "# tealComp = buildTealComponent(name, comp, m)\n", - "# tealComponentList.append(tealComp)\n", - "\n", - "metrics = RunCashFlow.run(tealSettings, tealComponentList, {}, pyomoVar=True)\n", - "\n", - "# Define the objective function\n", - "m.obj = Objective(expr=metrics['NPV'], sense=maximize)\n", - "\n", - "#=================================================\n", - "# m.obj = Objective(expr=m.npv, sense=maximize)\n", - "# Define the solver object. Using IPOPT\n", - "solver = get_solver()\n", - "\n", - "# Solver the optimization problem\n", - "solver.solve(m, tee=True)" - ] - }, - { - "cell_type": "markdown", - "id": "confident-neutral", - "metadata": {}, - "source": [ - "Verify that the solver converges to the optimal solution. We now print the results and answer the questions posed at the beginning of this notebook. To recall, we are interested in determining whether the following options are attractive (i.e., maximize NPV):\n", - "\n", - "- Produce hydrogen using a portion of the electricity, especially during periods of low electricity demand, and sell it.\n", - "- Produce hydrogen, store it in a tank, and combust it to produce electrity during the periods of high electricity demand." - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "scientific-nudist", - "metadata": {}, - "outputs": [], - "source": [ - "def generate_plots(m, d, y, set_time, lmp):\n", - " LMP = [lmp[y][d][t] for t in set_time]\n", - " \n", - " # Power from nuclear power plant to the grid (convert it to MW)\n", - " np_to_grid = [m.period[t, d, y].fs.np_power_split.split_fraction[\"np_to_grid\", 0].value \n", - " for t in set_time]\n", - " # Hydrogen production rate in the PEM electrolyzer (convert it to kg/hr)\n", - " h2_production = [m.period[t, d, y].fs.pem.outlet.flow_mol[0].value * 2.016e-3 * 3600\n", - " for t in set_time]\n", - " # Hydrogen flowrate to pipeline (convert it to kg/hr)\n", - " h2_to_pipeline = [m.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0].value * 2.016e-3 * 3600\n", - " for t in set_time]\n", - " # Hydrogen flowrate to turbine (convert it to kg/hr)\n", - " h2_to_turbine = [m.period[t, d, y].fs.h2_tank.outlet_to_turbine.flow_mol[0].value * 2.016e-3 * 3600\n", - " for t in set_time]\n", - " \n", - " # Plot the results\n", - " plot_lmp_and_schedule(lmp=LMP,\n", - " schedule={\"power_to_grid\": np_to_grid,\n", - " \"h2_production\": h2_production,\n", - " \"h2_to_pipeline\": h2_to_pipeline,\n", - " \"h2_to_turbine\": h2_to_turbine},\n", - " y_label={\"power_to_grid\": \"Split fraction to grid [-]\",\n", - " \"h2_production\": \"Hydrogen production (kg/hr)\",\n", - " \"h2_to_pipeline\": \"Hydrogen to pipeline (kg/hr)\",\n", - " \"h2_to_turbine\": \"Hydrogen to turbine (kg/hr)\"},\n", - " y_range={\"power_to_grid\": (0.5, 1.02),\n", - " \"h2_production\": (0, 4000),\n", - " \"h2_to_pipeline\": (0, 4000),\n", - " \"h2_to_turbine\": (-0.5, 10)})" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "disabled-invitation", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Optimal PEM capacity : 196.2616021878854 MW\n", - "Optimal tank capacity : 2.066591758867942e-05 kg\n", - "OPtimal turbine capacity: 9.076707516973046e-05 MW\n", - "NPV : 1.5548209326425222 $B\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import pyomo.environ as pyo\n", - "\n", - "# Print Results\n", - "print(\"Optimal PEM capacity : \", m.pem_capacity.value * 1e-3, \"MW\")\n", - "print(\"Optimal tank capacity : \", m.tank_capacity.value * 2.016e-3, \"kg\")\n", - "print(\"OPtimal turbine capacity: \", m.h2_turbine_capacity.value * 1e-6, \"MW\")\n", - "\n", - "print(\"NPV :\", pyo.value( m.obj ) * 1e-9, \"$B\")\n", - "\n", - "# Using `generate_plots` we plot optimal operating conditions for a specific day\n", - "generate_plots(m, d=1, y=2022, set_time=m.set_time, lmp=m.LMP)" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "brutal-sigma", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Using `generate_plots` we plot optimal operating conditions for a specific day\n", - "generate_plots(m, d=8, y=2022, set_time=m.set_time, lmp=m.LMP)\n" - ] - }, - { - "cell_type": "markdown", - "id": "empty-identity", - "metadata": {}, - "source": [ - "- Clearly, when the selling price of hydrogen is $3/kg, it is attractive (maximizes NPV) to produce hydrogen using a portion of electricity when its price is sufficiently low.\n", - "- However, storing hydrogen and combusting it later to produce electricity is not attractive. This is inferred from the optimal size of the hydrogen tank and the size of the turbine, respectively (both the values are zero. We see a small nonzero value because we imposed small nonzero lower bounds on flows to avoid convergence issues). \n", - "\n", - "The optimal size of the PEM electrolyzer for the production of hydrogen is 196.26 MW for a hydrogen demand of 1 kg/s. The hydrogen tank and the hydrogen turbine must not be built to maximize the NPV. The hydrogen produced by the PEM electrolyzer must be sold immediately to the hydrogen market via the pipeline." - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "brilliant-prairie", - "metadata": {}, - "outputs": [], - "source": [ - "# These optimization problems tend to be very large, so we \n", - "# delete the model after analyzing the results to save memory.\n", - "del m" - ] - }, - { - "cell_type": "markdown", - "id": "civic-special", - "metadata": {}, - "source": [ - "## Multiperiod Optimization Model: Stochastic\n", - "\n", - "### LMP Signal\n", - "\n", - "As mentioned in the previous section, due to uncertainty in various factors such as weather, demand, etc., it is not possible to determine the future locational marginal price accurately. There are many approaches to take into account the uncertainty in the LMP signal during the decision making process. One such approach involves the generation of potential LMP scenarios along with their associated probabilities and use them to formulate a stochastic program.\n", - "\n", - "Here, for demonstration, we consider two different realizations of the LMP signal (i.e., two scenarios: scenario 0 and scenario 1). " - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "previous-sending", - "metadata": {}, - "outputs": [], - "source": [ - "# Gather the LMP data needed for the stochastic case\n", - "# Notation: lmp_dataset[scenario][year][cluster/day][time/hour]\n", - "lmp_stochastic = {scenario: {year: {cluster: {hour: lmp_dataset[str(scenario)][str(year)][str(cluster)][str(hour)]\n", - " for hour in range(1, 25)} \n", - " for cluster in range(1, 21)}\n", - " for year in [2022]}\n", - " for scenario in [0, 1]}" - ] - }, - { - "cell_type": "markdown", - "id": "polar-bridge", - "metadata": {}, - "source": [ - "Next, we formulate an optimization problem of the form\n", - "$$ \\begin{aligned}\n", - "\\max_{D, D_s, u_{s, t, d}} \\quad & \\sum_s w_s \\text{NPV}_s(D_s, u_{s, t, d})\\\\\n", - "& g(u_{s, t, d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S} \\\\\n", - "& h(u_{s, t, d}) \\le 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S} \\\\\n", - "& f(u_{s, t-1, d}, u_{s, t, d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S} \\\\\n", - "& u_{s, t, d} \\le D_s, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}; \\forall\\; s \\in \\mathcal{S}\\\\\n", - "& D_s = D, & & \\forall\\; s \\in \\mathcal{S}\n", - "\\end{aligned}$$\n", - "\n", - "Here, the sets $\\mathcal{S} = \\{0, 1\\}$, $\\mathcal{T} = \\{1, \\dots, 24\\}$ and $\\mathcal{C} = \\{1, \\dots, 20\\}$ denote the the set of scenarios, the set of hours in a day and the set of clusters/days in a year, respectively. $D$ denotes the design decisions (or, first-stage variables) viz. size of the PEM electrolyzer (`pem_capacity`), tank (`tank_capacity`) and the turbine (`turbine_capacity`), and $D_s$ denotes the design decisions in scenario $s$. $u_{s, t, d}$ denotes the operating decisions (or, second-stage decisions) in scenario $s$, at time $t$ of day/cluster $d$. $g(u_{s, t, d}) = 0$ and $h(u_{s, t,d}) \\le 0$ denote the flowsheet model, $f(u_{s, t-1,d}, u_{s, t,d}) = 0$ connects the operating decisions at time $t-1$ and at time $t$ (e.g., tank holdup), and $u_{s, t, d} \\le D_s$ ensures that the operating decision values never exceed the design capacity values (e.g., tank holdup at any time instant must not exceed the tank capacity) in scenario $s$. Finally, $D_s = D$ ensures that the design decisions are maintained the same in all scenarios (non-anticipativity constraints).\n", - "\n", - "In the objective function, $w_s$ denotes the probability associated with scenario $s$, and $\\text{NPV}_s$ stands for the net present value calculated in scenario $s$." - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "lightweight-prediction", - "metadata": {}, - "outputs": [], - "source": [ - "# Create concrete model object\n", - "m = ConcreteModel()\n", - "\n", - "# Define sets\n", - "m.set_time = RangeSet(24) # twenty fours in a day\n", - "m.set_days = RangeSet(20) # twenty clusters/days per year\n", - "m.set_years = [2022] # Set of years\n", - "m.set_scenarios = [0, 1] # Set of scenarios\n", - "\n", - "# Define parameters\n", - "m.plant_life = 20 # Plant lifetime: 20 years\n", - "m.tax_rate = 0.2 # Corporate tax rate: 20%\n", - "m.discount_rate = 0.08 # Discount rate: 8%\n", - "m.h2_price = 3 # Selling price of hydrogen: $3/kg\n", - "m.h2_demand = 1 # Maximum amount of hydrogen that can be sold: 1 kg/s\n", - "m.LMP = lmp_stochastic # LMP signal\n", - "m.weights_days = weights_days # number of days represented by each cluster\n", - "m.weights_scenarios = {0: 0.5, 1: 0.5} # Equal probability for both the scenarios" - ] - }, - { - "cell_type": "markdown", - "id": "talented-dietary", - "metadata": {}, - "source": [ - "Next, we call the `build_multiperiod_design` function to formulate the multi-period optimization problem. However, this time, we also set `stochastic=True`. " - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "returning-moderator", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[ 0.00] Processing input information.\n", - "[+ 0.00] Beginning the formulation of the multiperiod problem.\n", - "[+ 154.66] Completed the formulation of the multiperiod problem\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:35 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-08-29 06:40:36 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:36 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-08-29 06:40:36 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:36 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:36 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:36 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:37 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:38 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-08-29 06:40:39 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-08-29 06:40:39 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", - "[+ 4.33] Created an instance of the flowsheet and initialized it.\n", - "[+ 18.59] Initialized the entire multiperiod optimization model.\n", - "[+ 0.38] Unfixed the degrees of freedom from each period model.\n" - ] - } - ], - "source": [ - "# Build initialized multiperiod model: Constraints g(u(t,d)) = 0 and h(u(t,d)) <= 0\n", - "build_multiperiod_design(m,\n", - " flowsheet=build_ne_flowsheet,\n", - " initialization=fix_dof_and_initialize,\n", - " unfix_dof=unfix_dof,\n", - " multiple_days=True,\n", - " multiyear=True,\n", - " stochastic=True,\n", - " verbose=False)" - ] - }, - { - "cell_type": "markdown", - "id": "divine-zimbabwe", - "metadata": {}, - "source": [ - "Next, add the connecting constraints and hydrogen demand constraints for each of the scenarios." - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "elder-victoria", - "metadata": {}, - "outputs": [], - "source": [ - "for s in m.set_scenarios:\n", - " # Build the connecting constraints\n", - " build_connecting_constraints(m.scenario[s], \n", - " set_time=m.set_time, \n", - " set_days=m.set_days,\n", - " set_years=m.set_years)\n", - "\n", - " # Append cash flow expressions\n", - " append_costs_and_revenue(m.scenario[s],\n", - " ps=m,\n", - " LMP=m.LMP[s])\n", - " \n", - " # Hydrogen demand constraint. \n", - " # Divide the RHS by the molecular mass to convert kg/s to mol/s\n", - " obj = m.scenario[s]\n", - " @obj.Constraint(m.set_time, m.set_days, m.set_years)\n", - " def hydrogen_demand_constraint(blk, t, d, y):\n", - " return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / 2.016e-3" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "suburban-radar", - "metadata": {}, - "outputs": [], - "source": [ - "# Add non-anticipativity constraints\n", - "m.pem_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Design PEM capacity (in kW)\")\n", - "m.tank_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Design tank capacity (in mol)\")\n", - "m.h2_turbine_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Design turbine capacity (in W)\")\n", - "\n", - "@m.Constraint(m.set_scenarios)\n", - "def non_anticipativity_pem(blk, s):\n", - " return blk.pem_capacity == blk.scenario[s].pem_capacity\n", - "\n", - "@m.Constraint(m.set_scenarios)\n", - "def non_anticipativity_tank(blk, s):\n", - " return blk.tank_capacity == blk.scenario[s].tank_capacity\n", - "\n", - "@m.Constraint(m.set_scenarios)\n", - "def non_anticipativity_turbine(blk, s):\n", - " return blk.h2_turbine_capacity == blk.scenario[s].h2_turbine_capacity" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "id": "liberal-riverside", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", - "tol=1e-06\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.14.7, running with linear solver MUMPS 5.5.0.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 580772\n", - "Number of nonzeros in inequality constraint Jacobian.: 7680\n", - "Number of nonzeros in Lagrangian Hessian.............: 195840\n", - "\n", - "Total number of variables............................: 211209\n", - " variables with only lower bounds: 20169\n", - " variables with lower and upper bounds: 176640\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 208326\n", - "Total number of inequality constraints...............: 3840\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 3840\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -1.2559159e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -1.5355493e+09 1.94e+05 2.06e+04 -1.0 2.80e+06 - 2.43e-03 8.89e-01f 1\n", - " 2 -1.5732609e+09 7.89e+03 1.24e+04 -1.0 5.04e+05 - 6.39e-04 9.90e-01f 1\n", - " 3 -1.5737278e+09 2.33e+02 4.40e+03 -1.0 1.01e+04 - 4.84e-01 9.71e-01f 1\n", - " 4 -1.5737296e+09 2.21e+02 1.17e+04 -1.0 2.04e+02 - 2.69e-02 5.23e-02f 4\n", - " 5 -1.5737432e+09 1.14e+02 1.23e+04 -1.0 1.02e+03 - 6.74e-03 4.98e-01f 1\n", - " 6 -1.5737728e+09 1.29e+01 5.26e+03 -1.0 3.95e+02 - 7.84e-01 9.92e-01h 1\n", - " 7 -1.5737782e+09 1.23e+00 1.13e+06 -1.0 3.37e+01 -4.0 5.46e-01 1.00e+00f 1\n", - " 8 -1.5740225e+09 1.35e+00 3.90e+06 -1.0 8.84e+02 - 5.47e-01 1.00e+00f 1\n", - " 9 -1.5747652e+09 3.14e+00 3.72e+06 -1.0 2.68e+03 - 4.76e-02 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -1.5747859e+09 4.29e-02 2.22e+06 -1.0 1.68e+02 -4.5 4.04e-01 1.00e+00f 1\n", - " 11 -1.5767248e+09 4.49e-02 2.19e+06 -1.0 1.49e+04 - 1.14e-02 1.00e+00f 1\n", - " 12 -1.5791179e+09 4.25e-01 1.99e+06 -1.0 2.27e+04 - 9.09e-02 6.91e-01f 1\n", - " 13 -1.5841947e+09 5.01e-01 1.80e+06 -1.0 3.51e+04 - 9.63e-02 7.93e-01f 1\n", - " 14 -1.5975256e+09 4.62e-02 1.62e+06 -1.0 6.32e+04 - 1.01e-01 1.00e+00f 1\n", - " 15 -1.5976020e+09 1.59e-04 4.60e+05 -1.0 3.29e+02 -5.0 7.16e-01 1.00e+00f 1\n", - " 16 -1.5976057e+09 3.03e-08 4.60e+03 -1.0 1.67e+01 -3.6 9.90e-01 1.00e+00f 1\n", - " 17 -1.6299658e+09 1.76e-04 4.59e+03 -1.0 2.61e+07 - 1.03e-03 4.68e-03f 1\n", - " 18 -1.6299700e+09 7.39e-06 4.57e+01 -1.0 1.86e+01 -3.7 9.90e-01 1.00e+00f 1\n", - " 19 -1.6303305e+09 1.10e-04 4.56e+01 -1.0 2.97e+07 - 2.20e-03 3.61e-03f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20 -1.6305480e+09 1.93e-04 4.55e+01 -1.0 3.36e+07 - 2.13e-03 3.05e-03f 1\n", - " 21 -1.6306623e+09 2.96e-04 4.54e+01 -1.0 3.01e+07 - 2.40e-03 3.45e-03f 1\n", - " 22 -1.6307205e+09 4.19e-04 4.53e+01 -1.0 2.65e+07 - 3.49e-03 3.85e-03f 1\n", - " 23 -1.6307870e+09 9.58e-04 4.51e+01 -1.0 1.49e+07 - 2.81e-03 8.68e-03f 1\n", - " 24 -1.6307920e+09 4.56e-05 1.14e+01 -1.0 2.74e+01 -3.8 9.94e-01 1.00e+00f 1\n", - " 25 -1.6308272e+09 4.50e-05 6.51e+04 -1.7 1.21e+07 - 3.96e-03 1.21e-02f 1\n", - " 26 -1.6308337e+09 5.88e-05 6.44e+04 -1.7 2.02e+06 - 1.06e-02 5.31e-03f 1\n", - " 27 -1.6308503e+09 1.02e-04 6.43e+04 -1.7 3.06e+07 - 1.06e-03 5.30e-03f 1\n", - " 28 -1.6308610e+09 1.49e-04 6.40e+04 -1.7 1.74e+07 - 5.42e-03 5.72e-03f 1\n", - " 29 -1.6308774e+09 2.51e-05 2.97e+05 -1.7 7.43e+01 -4.3 9.37e-01 9.73e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30 -1.6308829e+09 2.54e-07 4.41e-03 -1.7 2.98e+01 -3.8 1.00e+00 1.00e+00f 1\n", - " 31 -1.6308832e+09 2.49e-07 1.06e+06 -3.8 7.49e+01 -4.3 5.55e-01 2.21e-02f 1\n", - " 32 -1.6308993e+09 5.03e-06 1.06e+06 -3.8 9.29e+07 - 5.21e-04 1.59e-03f 1\n", - " 33 -1.6309009e+09 3.92e-06 7.47e+05 -3.8 1.53e+02 -4.4 1.24e-01 2.16e-01f 1\n", - " 34 -1.6309016e+09 2.95e-06 4.98e+05 -3.8 6.68e+01 -3.9 1.60e-01 2.45e-01f 1\n", - " 35 -1.6309021e+09 2.04e-06 2.90e+05 -3.8 3.15e+01 -3.5 2.27e-01 3.09e-01f 1\n", - " 36 -1.6309021e+09 1.99e-06 3.67e+05 -3.8 9.06e+01 -4.0 1.87e-01 2.21e-02f 1\n", - " 37 -1.6309023e+09 1.69e-06 2.87e+05 -3.8 3.43e+01 -3.6 9.14e-02 1.51e-01f 1\n", - " 38 -1.6309026e+09 1.50e-06 2.36e+05 -3.8 7.31e+01 -4.0 6.09e-02 1.12e-01f 1\n", - " 39 -1.6309027e+09 1.34e-06 2.82e+05 -3.8 2.78e+01 -3.6 3.14e-01 1.07e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40 -1.6309203e+09 2.56e-06 2.82e+05 -3.8 3.75e+08 - 1.65e-04 3.57e-04f 1\n", - " 41 -1.6309289e+09 2.94e-06 2.82e+05 -3.8 4.30e+08 - 1.89e-04 1.81e-04f 1\n", - " 42 -1.6309290e+09 2.28e-06 2.19e+05 -3.8 2.12e+01 -3.2 2.26e-01 2.24e-01f 1\n", - " 43 -1.6309292e+09 1.90e-06 1.73e+05 -3.8 3.41e+01 -3.7 1.10e-01 1.65e-01f 1\n", - " 44 -1.6309294e+09 1.74e-06 1.65e+05 -3.8 7.76e+01 -4.2 1.23e-01 8.39e-02f 1\n", - " 45 -1.6309295e+09 1.65e-06 1.75e+05 -3.8 3.81e+01 -3.8 1.90e-01 5.46e-02f 1\n", - " 46 -1.6309297e+09 1.46e-06 1.63e+05 -3.8 8.50e+01 -4.2 1.76e-01 1.12e-01f 1\n", - " 47 -1.6309298e+09 1.26e-06 1.80e+05 -3.8 3.17e+01 -3.8 5.44e-01 1.34e-01f 1\n", - " 48 -1.6309300e+09 8.34e-07 1.17e+05 -3.8 1.17e+01 -3.4 2.74e-01 3.38e-01f 1\n", - " 49 -1.6309300e+09 7.47e-07 1.15e+05 -3.8 2.64e+01 -3.9 4.25e-01 1.04e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50 -1.6309389e+09 1.04e-06 1.15e+05 -3.8 1.52e+09 - 3.37e-05 4.19e-05f 1\n", - " 51 -1.6309391e+09 8.37e-07 9.78e+04 -3.8 3.03e+01 -3.9 4.86e-01 1.94e-01f 1\n", - " 52 -1.6309514e+09 1.01e-06 9.78e+04 -3.8 4.88e+09 - 1.44e-05 2.53e-05f 1\n", - " 53 -1.6309515e+09 9.09e-07 9.39e+04 -3.8 2.90e+01 -4.0 7.11e-01 9.90e-02f 1\n", - " 54 -1.6309644e+09 1.34e-06 9.39e+04 -3.8 4.32e+09 - 1.46e-05 3.07e-05f 1\n", - " 55 -1.6309645e+09 3.56e-07 2.62e+04 -3.8 4.40e+00 -3.1 1.00e+00 7.29e-01f 1\n", - " 56 -1.6309645e+09 2.87e-07 2.11e+04 -3.8 1.10e+01 -3.6 6.23e-01 1.94e-01f 1\n", - " 57 -1.6309646e+09 1.94e-07 1.43e+04 -3.8 3.88e+00 -3.2 1.00e+00 3.23e-01f 1\n", - " 58 -1.6309646e+09 1.53e-07 1.13e+04 -3.8 1.16e+01 -3.6 9.44e-01 2.07e-01f 1\n", - " 59 -1.6309711e+09 3.04e-07 1.13e+04 -3.8 3.38e+09 - 2.22e-05 2.59e-05f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60 -1.6309711e+09 2.57e-07 9.60e+03 -3.8 1.29e+01 -3.7 1.00e+00 1.54e-01f 1\n", - " 61 -1.6309842e+09 5.97e-07 9.60e+03 -3.8 3.50e+09 - 1.56e-05 4.05e-05f 1\n", - " 62 -1.6309932e+09 6.81e-07 9.60e+03 -3.8 4.45e+09 - 1.64e-05 1.92e-05f 1\n", - " 63 -1.6309997e+09 8.22e-07 9.60e+03 -3.8 4.75e+09 - 1.59e-05 2.47e-05f 1\n", - " 64 -1.6309998e+09 5.85e-10 2.64e-03 -3.8 2.58e-01 -2.0 1.00e+00 1.00e+00f 1\n", - " 65 -1.6309998e+09 6.93e-10 3.72e-01 -3.8 7.75e-01 -2.5 1.00e+00 9.17e-01f 1\n", - " 66 -1.6310042e+09 2.83e-07 3.72e-01 -3.8 3.25e+09 - 2.36e-05 3.68e-05f 1\n", - " 67 -1.6310082e+09 5.39e-07 3.72e-01 -3.8 3.54e+09 - 1.51e-05 3.50e-05f 1\n", - " 68 -1.6310109e+09 7.07e-07 3.72e-01 -3.8 3.33e+09 - 2.20e-05 2.84e-05f 1\n", - " 69 -1.6310123e+09 9.67e-07 3.72e-01 -3.8 7.99e+08 - 7.84e-05 3.53e-05f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70 -1.6310124e+09 9.00e-07 1.76e+01 -3.8 2.29e+01 -3.9 9.41e-01 6.94e-02f 1\n", - " 71 -1.6310213e+09 2.95e-05 1.74e+01 -3.8 4.91e+08 - 4.48e-05 3.55e-04f 1\n", - " 72 -1.6310214e+09 2.58e-05 3.87e+01 -3.8 2.49e+01 -4.0 1.00e+00 1.24e-01f 1\n", - " 73 -1.6310215e+09 1.81e-05 2.63e+01 -3.8 9.29e+00 -3.6 1.00e+00 2.99e-01f 1\n", - " 74 -1.6310301e+09 3.65e-04 2.44e+01 -3.8 3.15e+07 - 2.41e-04 1.23e-03f 1\n", - " 75 -1.6310316e+09 3.65e-04 2.43e+01 -3.8 3.27e+09 - 1.43e-05 4.58e-05f 1\n", - " 76 -1.6310325e+09 3.66e-04 2.43e+01 -3.8 1.46e+09 - 5.60e-05 7.21e-05f 1\n", - " 77 -1.6310329e+09 3.68e-04 2.62e+01 -3.8 9.93e+07 - 1.18e-03 8.66e-05f 1\n", - " 78 -1.6310337e+09 3.72e-04 2.60e+01 -3.8 1.63e+09 - 3.97e-06 1.17e-04f 1\n", - " 79 -1.6310337e+09 2.86e-04 5.62e+01 -3.8 7.08e-01 -1.9 7.89e-01 2.32e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80 -1.6310337e+09 2.77e-04 1.52e+01 -3.8 6.40e-01 -2.4 1.00e+00 3.18e-02f 1\n", - " 81 -1.6310337e+09 1.30e-04 7.41e+00 -3.8 1.91e+00 -2.9 1.00e+00 5.32e-01f 1\n", - " 82 -1.6310389e+09 1.51e-03 7.43e+00 -3.8 3.06e+06 - 1.47e-03 2.37e-03f 1\n", - " 83 -1.6310395e+09 1.52e-03 7.43e+00 -3.8 1.09e+09 - 1.09e-05 1.70e-04f 1\n", - " 84 -1.6310423e+09 2.77e-03 7.33e+00 -3.8 3.82e+05 - 4.71e-03 2.01e-03f 1\n", - " 85 -1.6310450e+09 4.52e-03 7.27e+00 -3.8 2.08e+05 - 4.44e-03 3.69e-03f 1\n", - " 86 -1.6310478e+09 8.31e-03 7.20e+00 -3.8 1.20e+05 - 7.70e-03 7.13e-03f 1\n", - " 87 -1.6310479e+09 8.03e-03 1.11e+02 -3.8 4.01e+01 -4.4 3.51e-01 3.35e-02f 1\n", - " 88 -1.6310479e+09 7.82e-03 9.18e+02 -3.8 5.19e+01 -4.8 1.00e+00 2.64e-02f 1\n", - " 89 -1.6310501e+09 1.10e-02 9.01e+02 -3.8 5.37e+04 - 2.14e-02 1.89e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90 -1.6310506e+09 1.09e-02 8.88e+02 -3.8 2.30e+04 - 4.73e-02 1.75e-02f 1\n", - " 91 -1.6310510e+09 1.04e-02 8.53e+02 -3.8 1.04e+04 - 1.59e-01 4.45e-02f 1\n", - " 92 -1.6310511e+09 1.23e-03 1.89e+02 -3.8 1.90e+01 -3.1 1.00e+00 9.33e-01f 1\n", - " 93 -1.6310514e+09 6.62e-03 4.39e+02 -3.8 4.48e+03 - 2.58e-01 6.57e-02f 1\n", - " 94 -1.6310516e+09 2.93e-02 5.48e+02 -3.8 1.27e+03 - 3.41e-01 2.44e-01f 1\n", - " 95 -1.6310516e+09 1.32e-02 5.34e+02 -3.8 2.28e+01 -3.7 7.80e-01 5.47e-01f 1\n", - " 96 -1.6310516e+09 4.97e-03 3.02e+02 -3.8 2.51e+00 -4.1 9.84e-01 6.21e-01f 1\n", - " 97 -1.6310517e+09 1.55e-02 1.38e+02 -3.8 2.94e+02 - 1.00e+00 5.30e-01f 1\n", - " 98 -1.6310517e+09 1.27e-02 4.54e+02 -3.8 5.37e+01 - 4.79e-02 1.00e+00f 1\n", - " 99 -1.6310517e+09 3.21e-03 2.71e-03 -3.8 1.65e+01 - 1.00e+00 1.00e+00h 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100 -1.6310517e+09 2.31e-07 5.27e-05 -3.8 7.31e-02 -3.8 1.00e+00 1.00e+00h 1\n", - " 101 -1.6310517e+09 2.84e-04 9.37e+01 -5.7 8.43e+01 - 6.25e-01 3.21e-01f 1\n", - " 102 -1.6310518e+09 2.91e-04 5.13e+01 -5.7 3.64e+01 - 3.21e-01 3.77e-01f 1\n", - " 103 -1.6310518e+09 2.61e-04 8.49e+01 -5.7 2.14e+01 - 5.02e-01 1.04e-01f 1\n", - " 104 -1.6310518e+09 1.91e-04 4.97e+01 -5.7 1.68e+01 - 1.04e-01 2.72e-01f 1\n", - " 105 -1.6310518e+09 9.64e-05 2.20e+01 -5.7 1.06e+01 - 2.69e-01 4.47e-01f 1\n", - " 106 -1.6310518e+09 5.22e-05 1.72e+01 -5.7 5.44e+00 - 6.03e-01 3.84e-01f 1\n", - " 107 -1.6310518e+09 2.45e-05 5.53e+04 -5.7 1.49e+00 -4.8 1.07e-01 5.01e-01f 1\n", - " 108 -1.6310518e+09 9.80e-06 2.32e+04 -5.7 3.45e-01 -4.4 1.00e+00 5.83e-01f 1\n", - " 109 -1.6310518e+09 1.57e-06 5.72e+03 -5.7 8.84e-01 -4.9 1.00e+00 7.51e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110 -1.6310518e+09 1.11e-06 4.74e+03 -5.7 9.57e+00 - 8.20e-02 1.72e-01f 1\n", - " 111 -1.6310518e+09 7.41e-07 3.28e+03 -5.7 1.33e+00 - 3.81e-01 3.07e-01f 1\n", - " 112 -1.6310518e+09 1.89e-07 6.77e+02 -5.7 3.80e-01 - 1.00e+00 7.95e-01f 1\n", - " 113 -1.6310518e+09 3.31e-09 5.45e-07 -5.7 7.25e-02 - 1.00e+00 1.00e+00f 1\n", - " 114 -1.6310518e+09 1.34e-09 7.10e+01 -7.0 4.08e-01 - 1.00e+00 5.95e-01f 1\n", - " 115 -1.6310518e+09 5.95e-10 3.52e-06 -7.0 1.63e-01 - 1.00e+00 1.00e+00f 1\n", - " 116 -1.6310518e+09 7.84e-10 1.08e-12 -7.0 2.13e-04 - 1.00e+00 1.00e+00h 1\n", - "\n", - "Number of Iterations....: 116\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: -3.7401907403570734e+07 -1.6310517839609082e+09\n", - "Dual infeasibility......: 1.0820077830755358e-12 4.7185046094105214e-11\n", - "Constraint violation....: 1.1641532182693481e-10 7.8449113871670306e-10\n", - "Variable bound violation: 6.2884182240770248e-09 6.2884182240770248e-09\n", - "Complementarity.........: 9.0912040120645205e-08 3.9645637219065363e-06\n", - "Overall NLP error.......: 9.0912040120645205e-08 3.9645637219065363e-06\n", - "\n", - "\n", - "Number of objective function evaluations = 120\n", - "Number of objective gradient evaluations = 117\n", - "Number of equality constraint evaluations = 120\n", - "Number of inequality constraint evaluations = 120\n", - "Number of equality constraint Jacobian evaluations = 117\n", - "Number of inequality constraint Jacobian evaluations = 117\n", - "Number of Lagrangian Hessian evaluations = 116\n", - "Total seconds in IPOPT = 366.450\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "data": { - "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212166, 'Number of variables': 211209, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 368.75286197662354}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Define the objective function\n", - "m.obj = Objective(expr=sum(m.weights_scenarios[s] * m.scenario[s].npv\n", - " for s in m.set_scenarios), \n", - " sense=maximize)\n", - "\n", - "# Define the solver object. Using the default solver: IPOPT\n", - "solver = get_solver()\n", - "\n", - "# Solve the optimization problem\n", - "solver.solve(m, tee=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "id": "civil-celebration", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Optimal PEM capacity : 196.2616021918545 MW\n", - "Optimal tank capacity : 1.4179083742965303e-05 kg\n", - "OPtimal turbine capacity: 9.0763746194857e-05 MW\n" - ] - } - ], - "source": [ - "# Print Results\n", - "print(\"Optimal PEM capacity : \", m.pem_capacity.value * 1e-3, \"MW\")\n", - "print(\"Optimal tank capacity : \", m.tank_capacity.value * 2.016e-3, \"kg\")\n", - "print(\"OPtimal turbine capacity: \", m.h2_turbine_capacity.value * 1e-6, \"MW\")" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "id": "protecting-asthma", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "generate_plots(m.scenario[0], d=8, y=2022, set_time=m.set_time, lmp=m.LMP[0])" - ] - }, - { - "cell_type": "markdown", - "id": "protecting-flexibility", - "metadata": {}, - "source": [ - "Even in the stochastic case, we observe the same result i.e., producing hydrogen and selling it during the periods of low electricity demand is profitable. Whereas, building a turbine to combust hydrogen and produce electricity is not attractive. " - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.7.12 ('raven_libraries')", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.12" - }, - "vscode": { - "interpreter": { - "hash": "6d0acf42cb0fb1bfbd1a977660e9dbc5c6cac802e2d2bc70e5030ba691b903ab" - } - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} From fc367e34ec69b84788ed13e1e322e53f0d4a7394 Mon Sep 17 00:00:00 2001 From: "Gabriel J. Soto" Date: Wed, 28 Sep 2022 07:20:24 -0600 Subject: [PATCH 12/29] ARMA model files, synth training data, and README --- .../ARMA_pointer_2018_2021_to2045.csv | 6 + .../nuclear_case/ARMA_Model/ARMA_train.xml | 131 + .../nuclear_case/ARMA_Model/Price_2018.csv | 8761 +++++++++++++++++ .../nuclear_case/ARMA_Model/Price_2019.csv | 8761 +++++++++++++++++ .../nuclear_case/ARMA_Model/Price_2020.csv | 8761 +++++++++++++++++ .../nuclear_case/ARMA_Model/Price_2021.csv | 8761 +++++++++++++++++ .../nuclear_case/ARMA_Model/README.md | 14 + .../nuclear_case/ARMA_Model/output/arma.pk | Bin 0 -> 12105586 bytes 8 files changed, 35195 insertions(+) create mode 100644 dispatches/case_studies/nuclear_case/ARMA_Model/ARMA_pointer_2018_2021_to2045.csv create mode 100644 dispatches/case_studies/nuclear_case/ARMA_Model/ARMA_train.xml create mode 100644 dispatches/case_studies/nuclear_case/ARMA_Model/Price_2018.csv create mode 100644 dispatches/case_studies/nuclear_case/ARMA_Model/Price_2019.csv create mode 100644 dispatches/case_studies/nuclear_case/ARMA_Model/Price_2020.csv create mode 100644 dispatches/case_studies/nuclear_case/ARMA_Model/Price_2021.csv create mode 100644 dispatches/case_studies/nuclear_case/ARMA_Model/README.md create mode 100644 dispatches/case_studies/nuclear_case/ARMA_Model/output/arma.pk diff --git a/dispatches/case_studies/nuclear_case/ARMA_Model/ARMA_pointer_2018_2021_to2045.csv b/dispatches/case_studies/nuclear_case/ARMA_Model/ARMA_pointer_2018_2021_to2045.csv new file mode 100644 index 000000000..726a72305 --- /dev/null +++ b/dispatches/case_studies/nuclear_case/ARMA_Model/ARMA_pointer_2018_2021_to2045.csv @@ -0,0 +1,6 @@ +scaling,Year,filename +1,2018,Price_2018.csv +1,2019,Price_2019.csv +1,2020,Price_2020.csv +1,2021,Price_2021.csv +1,2045,Price_2021.csv diff --git a/dispatches/case_studies/nuclear_case/ARMA_Model/ARMA_train.xml b/dispatches/case_studies/nuclear_case/ARMA_Model/ARMA_train.xml new file mode 100644 index 000000000..9456ba3a4 --- /dev/null +++ b/dispatches/case_studies/nuclear_case/ARMA_Model/ARMA_train.xml @@ -0,0 +1,131 @@ + + + + output + load, train, meta, serialize, sample, plotting + + + + ../ARMA_pointer_2018_2021_to2045.csv + arma.pk + + + + + input + input + test1 + + + input + arma + + + arma + meta + romMeta + + + arma + pk + + + placeholder + arma + mc + test2 + synthetic + synthetic + + + input + synthetic + plotters + + + + + + scaling + OutputPlaceHolder + + + scaling,Year + price,hour + + hour + + + + scaling + price + price + price + + + + + + + hour + scaling + price,hour +

0

+ 1 + 8760,4380,2190,1095,168,24,12 + + Year + hour + full + classifier + + True + True + 42 + + + + price + cluster|KMeans + 20 + + + + + + + csv + meta + + + csv + input + + + csv + placeholder + + + csv + synthetic + + + input + synthetic + Year + hour + price + + + + + + + 1 + 42 + + 1 + + + + diff --git a/dispatches/case_studies/nuclear_case/ARMA_Model/Price_2018.csv b/dispatches/case_studies/nuclear_case/ARMA_Model/Price_2018.csv new file mode 100644 index 000000000..96983a2ec --- /dev/null +++ b/dispatches/case_studies/nuclear_case/ARMA_Model/Price_2018.csv @@ -0,0 +1,8761 @@ +hour,price +1,32.75470262 +2,257.2140927 +3,31.39031222 +4,112.7671262 +5,187.4765937 +6,397.5959536 +7,367.2208833 +8,29.81054294 +9,33.27915035 +10,19.06160638 +11,26.38716857 +12,19.7034075 +13,46.20814419 +14,18.54043427 +15,62.1851653 +16,27.60315361 +17,107.2699908 +18,220.9839165 +19,17.26833679 +20,27.24258536 +21,17.74267425 +22,19.86162898 +23,18.00264835 +24,18.21270828 +25,17.6717748 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a/dispatches/case_studies/nuclear_case/ARMA_Model/README.md b/dispatches/case_studies/nuclear_case/ARMA_Model/README.md new file mode 100644 index 000000000..6cc93c45c --- /dev/null +++ b/dispatches/case_studies/nuclear_case/ARMA_Model/README.md @@ -0,0 +1,14 @@ +### Files contained: + +- output/arma.pk: binary file containing trained ARMA model +- ARMA_train.xml: RAVEN input file that trains ARMA model based on given data +- Price_20xx.csv: csv files with **synthetic** training data (2018-2021) +- ARMA_pointer_2018_2021_to2045: csv file pointing to training data (2018-2021, interpolate through 2045) + +Please keep in mind this ARMA model is intended for demonstration use only, no meaningful conclusions should be derived from simulation results. + +Check the RAVEN github page for updates on ARMA models; if there are errors, be sure to re-train the ARMA model by re-running the ARMA_train.xml script with RAVEN. + +For more information on how to run an XML input file within RAVEN for ARMA training, see https://github.com/idaholab/raven/tree/devel/doc/workshop/ARMA. + + diff --git a/dispatches/case_studies/nuclear_case/ARMA_Model/output/arma.pk b/dispatches/case_studies/nuclear_case/ARMA_Model/output/arma.pk new file mode 100644 index 0000000000000000000000000000000000000000..36f5bd1c5ac52cb5acce40d20894dc38a90aec1f GIT binary patch literal 12105586 zcma&O2|Sfs-#%`h$&@mcp-dH(A(gcDy-AW;A(b{Z+sw92QA*0tE@C5NA`ywCQS%^a zp63CLN=c>C;D2p8=Xsv7mHak{){l#v5*-N#9{FqRJoEIM$lhZqqs6L zu~AWMSYXR$$M7<_k|XQ$H_hOR2S?B&!y?(ZFTr1$4zGuu6pINCV@7az4gy@!=-6N; zehG4gu@TQf=&zj}gk!mq{`}W%g8e!C*H~&?u|#HASY$kpEB+@;_!Ys7<**rH_!ZA! zM+8T}Xz_4FFoMH?8%#DE25^Ph%m7|2S8RB}nBmpNb4ApBriSxax?E9pAJb{!m>tAs zG9xhJdODtH4*xR66A{0#SmwwBGd$29eqhdj;Gf9&^M*w@c98gEL=0~kk8A7{$zj1F zEl#9XJUf`fh`g8d1ai!>CxE&lA3=A#9{|vZd zBcS7PWnCg;I4(maW3Yo62#*~*GB#>>vdmvmcVH&Q@UnS)){UgWg#nHZ&k<#W1vB`+47j4f ze4F`E6^o4JjQot{%J>ck)Ylj556@%yBIV*SAPgUb3>JeQ1W^#epPwsMWGvzWl*cB( 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Soto" Date: Mon, 14 Nov 2022 14:59:22 -0700 Subject: [PATCH 13/29] updated instructions on training ARMA model, removing committed model --- .gitignore | 1 + .../nuclear_case/ARMA_Model/ARMA_train.xml | 2 +- .../nuclear_case/ARMA_Model/README.md | 12 +++++++++++- .../nuclear_case/ARMA_Model/output/arma.pk | Bin 12105586 -> 0 bytes 4 files changed, 13 insertions(+), 2 deletions(-) delete mode 100644 dispatches/case_studies/nuclear_case/ARMA_Model/output/arma.pk diff --git a/.gitignore b/.gitignore index 513cfdec3..51cfba3b7 100644 --- a/.gitignore +++ b/.gitignore @@ -51,3 +51,4 @@ auto-save-list *_results/ sim_*/ +dispatches/case_studies/nuclear_case/ARMA_Model/output/ \ No newline at end of file diff --git a/dispatches/case_studies/nuclear_case/ARMA_Model/ARMA_train.xml b/dispatches/case_studies/nuclear_case/ARMA_Model/ARMA_train.xml index 9456ba3a4..6756bc435 100644 --- a/dispatches/case_studies/nuclear_case/ARMA_Model/ARMA_train.xml +++ b/dispatches/case_studies/nuclear_case/ARMA_Model/ARMA_train.xml @@ -2,7 +2,7 @@ output - load, train, meta, serialize, sample, plotting + load, train, meta, serialize, sample diff --git a/dispatches/case_studies/nuclear_case/ARMA_Model/README.md b/dispatches/case_studies/nuclear_case/ARMA_Model/README.md index 6cc93c45c..ee653f648 100644 --- a/dispatches/case_studies/nuclear_case/ARMA_Model/README.md +++ b/dispatches/case_studies/nuclear_case/ARMA_Model/README.md @@ -1,10 +1,20 @@ ### Files contained: -- output/arma.pk: binary file containing trained ARMA model - ARMA_train.xml: RAVEN input file that trains ARMA model based on given data - Price_20xx.csv: csv files with **synthetic** training data (2018-2021) - ARMA_pointer_2018_2021_to2045: csv file pointing to training data (2018-2021, interpolate through 2045) +## Training the ARMA Model: + +Once `raven_framework` is properly installed, run: + + ```bash + raven_framework ARMA_train.xml + ``` +in this directory from an open terminal. The arma file will be found in `output/arma.pk` with some additional training metadata. + +## Note + Please keep in mind this ARMA model is intended for demonstration use only, no meaningful conclusions should be derived from simulation results. 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zuI$F{?7^Pw#op}0zU;^T9KeAb#K9cGp&Z8H9Kn$s#nBwYu^h+ooWO~k#L1k(shq~? zoWYr##o3(0xtz!OT)>4~#Kl~~rCi44T)~xG#noKHwOq&b+`x_8#Le8ot=z`#+`*mP z#ogS)z1+wBJivoI#KSzoqddmrJi(JZ#nU{)vpmQ1yugdR#LK+GtGveRyuq8i#oN5Y zyS&Hye87i%#K(NXr+miee8HD|#n*hpw|vL<{J@X=#LxV~ul&aE{K236#ozqHzx>C5 zMEcJ_49p-5%3uu65Ddvs49zeM%Ww?O2#m-`jLayE%4m$v7>vnSjLkTV%Xo~>1Wd?8 zOw1%q%4AH=6imrfOwBY*%XCc749v((%*-sz%52Qe9Q^-(lz_=C3x*B|D3c@6kjX87 T{7*nY=gAc(H|f%)VY>eX#fA(E From 6be3ac04f72022d5acf5d98ef53fbbb8ed9bd2b9 Mon Sep 17 00:00:00 2001 From: "Gabriel J. Soto" Date: Tue, 29 Nov 2022 08:47:35 -0700 Subject: [PATCH 14/29] updating external ROM loader and TEAL imports to match pip installed raven --- .../nuclear_case/SynHist_integration.py | 18 ++++-------------- .../nuclear_case/TEAL_integration.py | 12 ------------ 2 files changed, 4 insertions(+), 26 deletions(-) diff --git a/dispatches/case_studies/nuclear_case/SynHist_integration.py b/dispatches/case_studies/nuclear_case/SynHist_integration.py index 6f48120e0..ae162d500 100644 --- a/dispatches/case_studies/nuclear_case/SynHist_integration.py +++ b/dispatches/case_studies/nuclear_case/SynHist_integration.py @@ -18,20 +18,10 @@ # order model from RAVEN. # Note that DISPATCHES, TEAL, and RAVEN are all assumed to be subdirectories within # the same directory. -import os -import sys from os import path -cwd = os.getcwd() -proj_dir = path.dirname( path.abspath( path.join(cwd, '../../..') ) ) -raven_dir = path.abspath( path.join(proj_dir, 'raven') ) -sys.path.append( proj_dir ) -sys.path.append( raven_dir ) -sys.path.append( path.abspath( path.join(raven_dir, 'scripts'))) -sys.path.append( path.abspath( path.join(raven_dir, 'plugins'))) - -from raven.ravenframework.utils import xmlUtils -from raven.scripts import externalROMloader - +import ravenframework +from ravenframework.utils import xmlUtils +from ravenframework import ROMExternal import numpy as np import operator @@ -63,7 +53,7 @@ def buildRunner(self): if not path.exists(self.target_file): raise Exception(f"Target file not found at {self.target_file}") - runner = externalROMloader.ravenROMexternal(self.target_file, raven_dir) + runner = ROMExternal.ROMLoader(self.target_file, ravenframework.__path__[0]) nodes = [] node = xmlUtils.newNode('ROM', attrib={'name': 'SyntheticHistory', 'subType': 'pickledRom'}) diff --git a/dispatches/case_studies/nuclear_case/TEAL_integration.py b/dispatches/case_studies/nuclear_case/TEAL_integration.py index 241346034..5e41e87b8 100644 --- a/dispatches/case_studies/nuclear_case/TEAL_integration.py +++ b/dispatches/case_studies/nuclear_case/TEAL_integration.py @@ -19,18 +19,6 @@ # assumed to be subdirectories within the same directory. import numpy as np import operator -import os -import sys -from os import path -cwd = os.getcwd() -proj_dir = path.dirname( path.abspath( path.join(cwd, '../../..') ) ) -TEAL_dir = path.abspath( path.join(proj_dir, 'TEAL') ) -raven_dir = path.abspath( path.join(proj_dir, 'raven') ) -sys.path.append( proj_dir ) -sys.path.append( TEAL_dir ) -sys.path.append( raven_dir ) -sys.path.append( path.abspath( path.join(TEAL_dir, 'src') ) ) - from TEAL.src import CashFlows from TEAL.src import main as RunCashFlow from TEAL.src.Amortization import MACRS From 613498306c2ffa887ef0d3df1aeac8f357dfcbcb Mon Sep 17 00:00:00 2001 From: Radhakrishna Date: Mon, 6 Feb 2023 12:14:57 -0500 Subject: [PATCH 15/29] Updated the notebook to use new MultiPeriodModel class --- .../nuclear_case/TEAL_integration.py | 14 +- ...od_design_pricetaker_wTEALandSynhist.ipynb | 2525 +++++------------ 2 files changed, 783 insertions(+), 1756 deletions(-) diff --git a/dispatches/case_studies/nuclear_case/TEAL_integration.py b/dispatches/case_studies/nuclear_case/TEAL_integration.py index 5e41e87b8..05d060f5e 100644 --- a/dispatches/case_studies/nuclear_case/TEAL_integration.py +++ b/dispatches/case_studies/nuclear_case/TEAL_integration.py @@ -201,11 +201,11 @@ def getDispatchVarFromModel(cfDict, mdl, scenario, scenario_ind=None): dispatch_array = np.zeros((n_projLife, n_hours_per_year), dtype=object) - indeces = np.array([tuple(i) for i in scenario.period_index], dtype="i,i,i") + indeces = np.array([tuple(i) for i in mdl.set_period], dtype="i,i,i") time_shape = (n_years, n_hours_per_year) # reshaping the tuples array to match HERON dispatch indeces = indeces.reshape(time_shape) - if mdl.stochastic: + if mdl._stochastic_model: weights_days = mdl.weights_days[scenario_ind] else: weights_days = mdl.weights_days @@ -219,7 +219,7 @@ def getDispatchVarFromModel(cfDict, mdl, scenario, scenario_ind=None): alpha = np.zeros([n_projLife, n_hours_per_year]) # it necessary to have alpha be [year, clusterhour] instead of [year, cluster, hour] # clusterhour loops through hours first, then cluster - if mdl.stochastic: + if mdl._stochastic_model: signal = signal[scenario_ind] @@ -348,13 +348,13 @@ def restructure_LMP(m): @ Out, None, None """ # list of available years in LMP data - if m.stochastic: + if m._stochastic_model: years = list(m.LMP[0].keys()) else: years = list(m.LMP.keys()) n_years_data = len(years) - set_scenarios = list( m.LMP.keys() ) if m.stochastic else [0] + set_scenarios = list( m.LMP.keys() ) if m._stochastic_model else [0] # template dictionary full of 0s, same structure as LMP zeroDict = {cluster: {hour: 0 @@ -391,11 +391,11 @@ def restructure_LMP(m): # data for current year is available in LMP dict else: stuckYear = y # update year for duplication (word?) - newLMP[y] = m.LMP[y] if not m.stochastic else m.LMP[s][y] # keep current LMP value + newLMP[y] = m.LMP[y] if not m._stochastic_model else m.LMP[s][y] # keep current LMP value newYearsVec.append(y) # update current year # save to model object - if m.stochastic: + if m._stochastic_model: m.LMP[s] = newLMP else: m.LMP = newLMP diff --git a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb index f8bfbde1a..495f0e619 100644 --- a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb +++ b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb @@ -71,44 +71,65 @@ "cell_type": "code", "execution_count": 1, "id": "automated-antigua", - "metadata": {}, - "outputs": [], + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PluginFactory: No installed plugins detected.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "PySide2/__init__.py: Unable to import shiboken2 from c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\ray\\thirdparty_files, c:\\Users\\Radhakrishna\\Desktop\\code_repositories\\dispatches\\dispatches\\case_studies\\nuclear_case, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\python38.zip, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\DLLs, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test, , c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages, c:\\users\\radhakrishna\\desktop\\code_repositories\\dispatches, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\win32, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\win32\\lib, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\Pythonwin, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\IPython\\extensions, C:\\Users\\Radhakrishna\\.ipython, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\PySAM\\, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\PySAM\\\n", + "PySide2/__init__.py: Unable to import shiboken2 from c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\ray\\thirdparty_files, c:\\Users\\Radhakrishna\\Desktop\\code_repositories\\dispatches\\dispatches\\case_studies\\nuclear_case, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\python38.zip, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\DLLs, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test, , c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages, c:\\users\\radhakrishna\\desktop\\code_repositories\\dispatches, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\win32, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\win32\\lib, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\Pythonwin, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\IPython\\extensions, C:\\Users\\Radhakrishna\\.ipython, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\PySAM\\, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\PySAM\\\n" + ] + } + ], "source": [ "# General python imports\n", + "import os\n", "import json\n", + "import logging\n", + "import numpy as np\n", "\n", "# Pyomo imports\n", - "from pyomo.environ import (ConcreteModel,\n", - " RangeSet,\n", - " Var,\n", - " NonNegativeReals,\n", - " Constraint,\n", - " Expression,\n", - " Objective,\n", - " maximize,\n", - " units as pyunits)\n", + "from pyomo.environ import (\n", + " ConcreteModel,\n", + " RangeSet,\n", + " Var,\n", + " NonNegativeReals,\n", + " Constraint,\n", + " Expression,\n", + " Objective,\n", + " value,\n", + " maximize,\n", + " units as pyunits,\n", + ")\n", "\n", "# IDAES imports\n", "from idaes.core.solvers import get_solver\n", "from idaes.core.util.model_statistics import degrees_of_freedom\n", + "from idaes.apps.grid_integration import MultiPeriodModel\n", "\n", "# Nuclear flowsheet function imports\n", - "from dispatches.case_studies.nuclear_case.nuclear_flowsheet import (build_ne_flowsheet,\n", - " fix_dof_and_initialize)\n", - "\n", - "# Import function for the construction of the multiperiod model\n", - "from dispatches.case_studies.nuclear_case.multiperiod import (\n", - " build_multiperiod_design,\n", - " plot_lmp_and_schedule)\n", + "from dispatches.case_studies.nuclear_case.nuclear_flowsheet import (\n", + " build_ne_flowsheet,\n", + " fix_dof_and_initialize,\n", + ")\n", "\n", "from dispatches.case_studies.nuclear_case.TEAL_integration import (\n", " build_econ_settings,\n", " build_TEAL_Component,\n", - " calculate_TEAL_metrics)\n", + " calculate_TEAL_metrics,\n", + ")\n", "\n", - "from dispatches.case_studies.nuclear_case.SynHist_integration import SynHist_integration\n", - "\n", - "import numpy as np" + "from dispatches.case_studies.nuclear_case.SynHist_integration import SynHist_integration" ] }, { @@ -154,70 +175,31 @@ "name": "stdout", "output_type": "stream", "text": [ - "2022-09-27 15:39:02 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-09-27 15:39:02 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:02 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:02 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-09-27 15:39:02 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:02 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-09-27 15:39:02 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:02 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:02 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-09-27 15:39:02 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:02 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:02 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:02 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-09-27 15:39:03 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:03 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-09-27 15:39:03 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:03 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:03 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:03 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-09-27 15:39:03 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:03 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-09-27 15:39:03 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:03 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-09-27 15:39:03 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:03 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:04 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-27 15:39:04 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-09-27 15:39:04 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-09-27 15:39:04 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:04 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-09-27 15:39:04 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:04 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:04 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-09-27 15:39:04 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:04 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:05 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-09-27 15:39:06 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:06 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:39:06 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-27 15:39:06 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", + "2023-02-03 17:30:38 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", "Degrees of freedom: 0\n", - "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", + "Ipopt 3.13.2: nlp_scaling_method=gradient-based\n", "tol=1e-06\n", "\n", "\n", "******************************************************************************\n", "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "\n", + "This version of Ipopt was compiled from source code available at\n", + " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", + " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", + " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", + "\n", + "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", + " for large-scale scientific computation. All technical papers, sales and\n", + " publicity material resulting from use of the HSL codes within IPOPT must\n", + " contain the following acknowledgement:\n", + " HSL, a collection of Fortran codes for large-scale scientific\n", + " computation. See http://www.hsl.rl.ac.uk.\n", "******************************************************************************\n", "\n", - "This is Ipopt version 3.14.7, running with linear solver MUMPS 5.5.0.\n", + "This is Ipopt version 3.13.2, running with linear solver ma27.\n", "\n", "Number of nonzeros in equality constraint Jacobian...: 593\n", "Number of nonzeros in inequality constraint Jacobian.: 0\n", @@ -242,10 +224,9 @@ " (scaled) (unscaled)\n", "Objective...............: 0.0000000000000000e+00 0.0000000000000000e+00\n", "Dual infeasibility......: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Constraint violation....: 2.3283064365386963e-10 3.4924596548080444e-08\n", - "Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00\n", + "Constraint violation....: 4.6566128730773926e-10 3.4924596548080444e-08\n", "Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00\n", - "Overall NLP error.......: 2.3283064365386963e-10 3.4924596548080444e-08\n", + "Overall NLP error.......: 4.6566128730773926e-10 3.4924596548080444e-08\n", "\n", "\n", "Number of objective function evaluations = 2\n", @@ -255,7 +236,8 @@ "Number of equality constraint Jacobian evaluations = 2\n", "Number of inequality constraint Jacobian evaluations = 0\n", "Number of Lagrangian Hessian evaluations = 1\n", - "Total seconds in IPOPT = 0.010\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.000\n", + "Total CPU secs in NLP function evaluations = 0.000\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -263,7 +245,7 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.13619208335876465}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.17031359672546387}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, "execution_count": 2, @@ -272,14 +254,17 @@ } ], "source": [ - "# Create a concrete model object\n", - "m = ConcreteModel()\n", - "\n", - "# Build the nuclear flowsheet\n", - "build_ne_flowsheet(m)\n", + "# Build the nuclear flowsheet with the capacity of the power plant as 1000 MW\n", + "m = build_ne_flowsheet(np_capacity=1000)\n", "\n", "# Fix the degrees of freedom and initialize\n", - "fix_dof_and_initialize(m)\n", + "fix_dof_and_initialize(\n", + " m,\n", + " split_frac_grid=0.8,\n", + " tank_holdup_previous=0,\n", + " flow_mol_to_pipeline=10,\n", + " flow_mol_to_turbine=10,\n", + ")\n", "\n", "# Ensure that the resulting model is a square problem i.e., its degrees of freedom must be 0\n", "print(\"Degrees of freedom: \", degrees_of_freedom(m))\n", @@ -312,18 +297,18 @@ "text": [ "Nuclear plant power production : 1000000.0 kW\n", "Electricity to grid : 800000.0 kW\n", - "Electricity to PEM : 199999.99999999997 kW\n", + "Electricity to PEM : 200000.0 kW\n", "\n", - "Flowrate of H2 from pem : 505.4811999999999 mol/s\n", + "Flowrate of H2 from pem : 505.48119999999994 mol/s\n", "\n", - "Flowrate of H2 to tank : 505.4811999999999 mol/s\n", + "Flowrate of H2 to tank : 505.48119999999994 mol/s\n", "Flowrate of H2 to pipeline : 10 mol/s\n", "Flowrate of H2 to turbine : 10 mol/s\n", "Initial tank holdup : 0 mol\n", - "Tank holdup at the end of 1 hr : 1747732.3199999996 mol\n", - "H2 Turbine's compressor work : 1764604.5955977994 kg*m**2/s**3\n", - "H2 Turbine's turbine work : -2672169.126200441 kg*m**2/s**3\n", - "Net power produced by turbine : 907564.5306026414 kg*m**2/s**3\n" + "Tank holdup at the end of 1 hr : 1747732.3199999998 mol\n", + "H2 Turbine's compressor work : 1764604.5955977982 kg*m**2/s**3\n", + "H2 Turbine's turbine work : -2672169.1262004385 kg*m**2/s**3\n", + "Net power produced by turbine : 907564.5306026402 kg*m**2/s**3\n" ] } ], @@ -362,9 +347,8 @@ " get_units(m.fs.h2_turbine.compressor.work_mechanical[0]))\n", "print(\"H2 Turbine's turbine work : \", m.fs.h2_turbine.turbine.work_mechanical[0].value,\n", " get_units(m.fs.h2_turbine.turbine.work_mechanical[0]))\n", - "print(\"Net power produced by turbine : \", (- m.fs.h2_turbine.turbine.work_mechanical[0].value\n", - " - m.fs.h2_turbine.compressor.work_mechanical[0].value),\n", - " get_units(m.fs.h2_turbine.compressor.work_mechanical[0]))" + "print(\"Net power produced by turbine : \", -value(m.fs.h2_turbine.work_mechanical[0]),\n", + " get_units(m.fs.h2_turbine.work_mechanical[0]))" ] }, { @@ -388,125 +372,21 @@ }, { "cell_type": "markdown", - "id": "210c5afa", - "metadata": {}, - "source": [ - "## Cash Flow Values\n", - "\n", - "We use the numbers in the table below for constructing the cash flow expressions.\n", - "\n", - "| Unit | CAPEX | Fixed O&M | Variable O&M |\n", - "| :- | :-: | :-: | :-: |\n", - "| PEM Electrolyzer | \\$1630 /kW | \\$47.9 /kW | \\$1.3 /MWh |\n", - "| Hydrogen tank | \\$29 /kWh | 0 | 0 |\n", - "| Hydrogen turbine | \\$947 /kW | \\$7 /kW | \\$4.25 /Mwh|\n", - "\n", - "We refer the reader to the Simulation of the Flowsheet section for the default units of the decision variables. We convert the cost numbers so that the units are consistent with that of the variable." - ] - }, - { - "cell_type": "markdown", - "id": "221c93c1", + "id": "0741dc5d", "metadata": {}, "source": [ - "## Define TEAL Component Cash Flows\n", - "\n", - "We now add a template dictionary with all the Nuclear Case components. \n", - "Each plant component has nested dictionaries for each desired TEAL cash flow. \n", - "Note that all cash flows are defined as:\n", - " $$C_y = m \\alpha_y \\bigg(\\frac{D_y}{D^{\\prime}}\\bigg)^X$$\n", - "The cash flow $C_y$ is indexed by year, but hourly indeces can also be created and summed per year. Other parameters include $\\alpha$, the reference price, $D_y$ the driver for the cash flow (e.g., number of units sold, hours of electricity produced, etc.), $D^{\\prime}$ the reference driver corresponding to $\\alpha$ (optional), $X$ the scaling factor, and $m$ an extra multiplier.\n", - "\n", + "## Multiperiod Optimization Model: Deterministic\n", "\n", - "The cash flow dictionaries below must have:\n", - "1. an **Expression**: a list of strings of the Pyomo variable name used as the cash flow driver ($D_y$)\n", - "2. a **Value**: the cost per unit ($\\alpha$)\n", - "3. a **Multiplier**: an extra multiplier to distinguish between +/- cash flows ($m$)\n", + "Now, we formulate the multi-period price-taker problem to determine the optimal design and operating decisions maximizing the NPV. The optimization problem is of the form\n", + "$$ \\begin{aligned}\n", + "\\max_{D, u_{t, d}} \\quad & \\text{NPV}(D, u_{t, d})\\\\\n", + "& g(u_{t, d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", + "& h(u_{t, d}) \\le 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", + "& f(u_{t-1,d}, u_{t,d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", + "& u_{t,d} \\le D, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}\n", + "\\end{aligned}$$\n", "\n", - "Each component must also have a Lifetime but all currently set to be the same. The TEAL-DISPATCHES integration currently does not support scaling factors. \n", - "**NOTE**: All expressions currently correspond to " - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "e7fcb9cb", - "metadata": {}, - "outputs": [], - "source": [ - "components={\n", - " # Electrolyzer: negative Cash flows\n", - " \"pem\":{ \n", - " \"Lifetime\": 20,\n", - " \"Capex\":{\n", - " \"Expressions\": ['pem_capacity'],\n", - " \"Value\": 1630, # $/kW\n", - " \"Multiplier\": [-1],\n", - " \"Amortization\":15,\n", - " },\n", - " \"FixedOM\":{\n", - " \"Expressions\": ['pem_capacity'],\n", - " \"Value\": 47.9, # $/kW\n", - " \"Multiplier\": [-1],\n", - " },\n", - " \"Hourly\":{\n", - " \"Expressions\": ['fs.pem.electricity'],\n", - " \"Value\": 1.3e-3, # $/MWh -> $/kWh\n", - " \"Multiplier\": [-1],\n", - " },\n", - " },\n", - " # Hydrogen Tank: negative Cash flows\n", - " \"h2tank\":{\n", - " \"Lifetime\": 20,\n", - " \"Capex\":{\n", - " \"Expressions\": ['tank_capacity'],\n", - " \"Value\": 1.946851199, # $29/kWh * 33.3 kWh/kg * 2.016e-3 kg/mol\n", - " \"Multiplier\": [-1],\n", - " \"Amortization\":15,\n", - " },\n", - " },\n", - " # Hydrogen Turbine: negative Cash flows\n", - " \"h2turbine\":{ \n", - " \"Lifetime\": 20,\n", - " \"Capex\":{\n", - " \"Expressions\": ['h2_turbine_capacity'],\n", - " \"Value\": 0.947, # $/kW -> $/W\n", - " \"Multiplier\": [-1],\n", - " \"Amortization\":15,\n", - " },\n", - " \"FixedOM\":{\n", - " \"Expressions\": ['h2_turbine_capacity'],\n", - " \"Value\": 0.007, # $/kW -> $/W\n", - " \"Multiplier\": [-1],\n", - " },\n", - " \"Hourly\":{\n", - " \"Expressions\": ['fs.h2_turbine.turbine.work_mechanical',\n", - " 'fs.h2_turbine.compressor.work_mechanical'],\n", - " \"Value\": 4.25e-6, # $/MWh -> $/Wh\n", - " \"Multiplier\": [1, 1], # these values come out with correct sign in expression\n", - " },\n", - " },\n", - " # Electricity Market: positive Cash flows\n", - " \"electricity_market\":{\n", - " \"Lifetime\": 20,\n", - " \"Hourly\":{\n", - " \"Expressions\": ['fs.np_power_split.np_to_grid_port.electricity',\n", - " 'fs.h2_turbine.turbine.work_mechanical',\n", - " 'fs.h2_turbine.compressor.work_mechanical'],\n", - " \"Value\": [], # this is LMP in $/MWh, should be path str to ROM\n", - " \"Multiplier\": [1e-3, -1e-6, -1e-6], # converting to $/kWh and $/Wh\n", - " },\n", - " },\n", - " # Hydrogen Market: positive Cash flows\n", - " \"h2_market\":{\n", - " \"Lifetime\": 20,\n", - " \"Hourly\":{\n", - " \"Expressions\": ['fs.h2_tank.outlet_to_pipeline.flow_mol'], # this is in mol/s\n", - " \"Value\": 6.0, # this is $/kg, NOTE: this is increased from previous $3/kg\n", - " \"Multiplier\": [7.2576] # convert from $/kg -> $/mol and also converting mol/s to mol/hr\n", - " },\n", - " },\n", - "}" + "Here, the sets $\\mathcal{T} = \\{1, \\dots, 24\\}$ and $\\mathcal{C} = \\{1, \\dots, 20\\}$ denote the set of hours in a day and the set of clusters/days in a year, respectively. $D$ denotes the design decisions (or, first-stage variables) viz. size of the PEM electrolyzer (`pem_capacity`), tank (`tank_capacity`) and the turbine (`turbine_capacity`). $u_{t, d}$ denotes the operating decisions (or, second-stage decisions) at time $t$ of day/cluster $d$. $g(u_{t, d}) = 0$ and $h(u_{t,d}) \\le 0$ denote the flowsheet model, $f(u_{t-1,d}, u_{t,d}) = 0$ connects the operating decisions at time $t-1$ and at time $t$ (e.g., tank holdup), and $u_{t,d} \\le D$ ensures that the operating decision values never exceed the design capacity values (e.g., tank holdup at any time instant must not exceed the tank capacity)." ] }, { @@ -514,8 +394,6 @@ "id": "alert-packing", "metadata": {}, "source": [ - "## Multiperiod Optimization Model: Deterministic\n", - "\n", "### LMP Signal\n", "Our objective is to determine the optimal size of the PEM, tank and turbine maximizing the NPV for a given 'market signal'. Throughout the notebook, by market signal or price signal, we refer to the locational marginal price (LMP) (selling price of electricity, in $/MWh) as a function of time. The LMP depends on several factors such as weather, demand, generator mix of the grid, and so forth. Owing to the uncertain nature of some those factors, it is not possible to predict the exact value of the LMP way into the future. Nevertheless, in this section, we **assume that the LMP signal is accurate** (i.e., there is no uncertainty in the price). Later, we show how the same framework/workflow can be used to easily formulate a stochastic program to handle the uncertainty in the price signal. \n", "\n", @@ -540,50 +418,46 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "id": "0ada016c", - "metadata": {}, + "metadata": { + "scrolled": true + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Loading plugin \"ExamplePlugin\" at C:\\Users\\sotogj\\projects\\raven\\plugins\\ExamplePlugin\n", - " ... successfully imported \"ExamplePlugin\" ...\n", - "Loading plugin \"HERON\" at C:\\Users\\sotogj\\projects\\HERON\n", - " ... successfully imported \"HERON\" ...\n", - "Loading plugin \"TEAL\" at C:\\Users\\sotogj\\projects\\TEAL\n", - " ... successfully imported \"TEAL\" ...\n", "InputData: Using param spec \"pickledROM\" to read XML node \"ROM.\n", - "(85762.80 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", - "(85762.80 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", - "(85763.17 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", - "(85763.19 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", - "(85763.20 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", - "(85763.22 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", - "(85763.23 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", - "(85763.25 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", - "(85763.27 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", - "(85763.28 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", - "(85763.30 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", - "(85763.31 sec) Interp. 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Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", - "(85763.49 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", - "(85763.51 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", - "(85763.53 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", - "(85763.54 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", - "(85763.56 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", - "(85763.58 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", - "(85763.60 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n" + "(13661.99 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", + "(13662.00 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", + "(13662.50 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", + "(13662.52 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", + "(13662.53 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", + "(13662.56 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", + "(13662.58 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", + "(13662.60 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", + "(13662.63 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", + "(13662.65 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", + "(13662.68 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", + "(13662.69 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", + "(13662.71 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", + "(13662.73 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", + "(13662.74 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", + "(13662.77 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", + "(13662.78 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", + "(13662.80 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", + "(13662.83 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", + "(13662.85 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", + "(13662.88 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", + "(13662.89 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", + "(13662.91 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", + "(13662.93 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", + "(13662.96 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", + "(13662.99 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", + "(13663.02 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", + "(13663.04 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", + "(13663.06 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n" ] } ], @@ -594,65 +468,45 @@ "set_years = range(startYear, startYear + plant_life) # Set of years\n", "\n", "# location of trained ARMA model file\n", - "targetFile = \"C:/Users/sotogj/projects/dispatches/dispatches/case_studies/nuclear_case/ARMA_Model/arma.pk\"\n", + "cwd = os.getcwd()\n", + "targetFile = cwd + \"\\\\ARMA_Model\\\\arma.pk\"\n", "synHistIntegration = SynHist_integration(targetFile) # this object used to generate histories\n", "\n", "# generate single synthetic history / sampled scenario\n", - "synHistDict = synHistIntegration.generateSyntheticHistory(\"price\", set_years)" - ] - }, - { - "cell_type": "markdown", - "id": "boxed-pattern", - "metadata": {}, - "source": [ - "Now, we formulate the multi-period price-taker problem to determine the optimal design and operating decisions maximizing the NPV. The optimization problem is of the form\n", - "$$ \\begin{aligned}\n", - "\\max_{D, u_{t, d}} \\quad & \\text{NPV}(D, u_{t, d})\\\\\n", - "& g(u_{t, d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", - "& h(u_{t, d}) \\le 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", - "& f(u_{t-1,d}, u_{t,d}) = 0, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C} \\\\\n", - "& u_{t,d} \\le D, & & \\forall \\; t \\in \\mathcal{T}; \\; \\forall \\; d \\in \\mathcal{C}\n", - "\\end{aligned}$$\n", + "synHistDict = synHistIntegration.generateSyntheticHistory(\"price\", set_years)\n", "\n", - "Here, the sets $\\mathcal{T} = \\{1, \\dots, 24\\}$ and $\\mathcal{C} = \\{1, \\dots, 20\\}$ denote the set of hours in a day and the set of clusters/days in a year, respectively. $D$ denotes the design decisions (or, first-stage variables) viz. size of the PEM electrolyzer (`pem_capacity`), tank (`tank_capacity`) and the turbine (`turbine_capacity`). $u_{t, d}$ denotes the operating decisions (or, second-stage decisions) at time $t$ of day/cluster $d$. $g(u_{t, d}) = 0$ and $h(u_{t,d}) \\le 0$ denote the flowsheet model, $f(u_{t-1,d}, u_{t,d}) = 0$ connects the operating decisions at time $t-1$ and at time $t$ (e.g., tank holdup), and $u_{t,d} \\le D$ ensures that the operating decision values never exceed the design capacity values (e.g., tank holdup at any time instant must not exceed the tank capacity).\n", - "\n", - "First, we create a `ConcreteModel` object, and define sets and parameters" + "# LMP Signal\n", + "LMP = synHistDict[\"LMP\"]\n", + "weights_days = synHistDict[\"weights_days\"]" ] }, { - "cell_type": "code", - "execution_count": 7, - "id": "driven-allah", + "cell_type": "markdown", + "id": "c21e0839", "metadata": {}, - "outputs": [], "source": [ - "# Create a ConcreteModel object\n", - "m = ConcreteModel()\n", - "\n", - "# Define parameters\n", - "m.plant_life = plant_life # Plant lifetime: 20 years\n", - "m.tax_rate = 0.2 # Corporate tax rate: 20%\n", - "m.discount_rate = 0.08 # Discount rate: 8%\n", - "m.h2_demand = 1 # Maximum amount of hydrogen that can be sold: 1 kg/s\n", - "m.stochastic = False\n", - "\n", - "m.LMP = synHistDict['LMP']\n", - "m.weights_days = synHistDict['weights_days']\n", - "\n", - "# Define sets\n", - "m.set_years = set_years # Set of years\n", - "m.set_days = list(m.LMP[set_years[0]].keys()) # e.g., twenty clusters/days per year\n", - "m.set_time = list(m.LMP[set_years[0]][m.set_days[0]].keys()) # e.g., twenty fours in a day\n" + "We use the `MultiPeriodModel` class in IDAES to formulate the multi-period optimization problem and specify the following arguments\n", + "- `n_time_points`: Number of elements in $\\mathcal{T}$\n", + "- `set_days`: The set of clusters/representative days\n", + "- `set_years`: The set of years\n", + "- `process_model_func`: Function that builds an instance of the process flowsheet\n", + "- `initialization_func`: Function that initializes an instance of the process flowsheet\n", + "- `unfix_dof_func`: Function that unfixes a degrees of freedom for optimization\n", + "- `linking_variable_func`: Function that yields pairs of variables that are connected across two consecutive time periods\n", + "- `flowsheet_options`: Dictionary containing arguments required for `process_model_func`\n", + "- `initialization_options`: Dictionary containing arguments required for `initialization_func`\n", + "- `use_stochastic_build`: If True, uses the generalized method, `build_stochastic_multi_period`, for formulating the multi-period problem.\n", + "- `outlvl`: Output level\n", + "\n", + "For our problem, `n_time_points=24`,`set_days=[1, 2, ..., 20]`, `set_years=[2022, 2032]`, `process_model_func=build_ne_flowsheet`, `initialization_func=fix_dof_and_initialize`. We now construct two functions, `unfix_dof` and `get_linking_variable_pairs`, for `unfix_dof` and `linking_variable_func` arguments." ] }, { "cell_type": "markdown", - "id": "august-rings", + "id": "d6bccf0b", "metadata": {}, "source": [ - "As we saw earlier, functions `build_ne_flowsheet` and `fix_dof_and_initialize` yield an initialized square model of the nuclear flowsheet. For the multi-period optimization problem, we now construct a function that can be used to unfix a few degrees of freedom for optimization. The function below\n", - "\n", + "`unfix_dof` unfixes a few degrees of freedom for optimization. In particular, it \n", "- Unfixes the split fractions of the power splitter. The optimizer then determines the optimal split fraction of the electricity to the grid, and to the PEM electrolyzer.\n", "- Unfixes the initial tank holdup. The initial tank holdup is governed by the final tank holdup at the previous hour.\n", "- Unfixes the molar flow rate of hydrogen to the turbine and to the pipeline.\n", @@ -663,19 +517,15 @@ }, { "cell_type": "code", - "execution_count": 8, - "id": "senior-multimedia", + "execution_count": 6, + "id": "aac88a5a", "metadata": {}, "outputs": [], "source": [ - "def unfix_dof(m, **kwargs):\n", + "def unfix_dof(m, air_h2_ratio=10.76):\n", " \"\"\"\n", " This function unfixes a few degrees of freedom for optimization\n", " \"\"\"\n", - " # Set defaults in case options are not passed to the function\n", - " options = kwargs.get(\"options\", {})\n", - " air_h2_ratio = options.get(\"air_h2_ratio\", 10.76)\n", - " \n", " # Unfix the electricity split in the electrical splitter\n", " m.fs.np_power_split.split_fraction[\"np_to_grid\", 0].unfix()\n", "\n", @@ -707,208 +557,331 @@ ] }, { - "cell_type": "markdown", - "id": "organized-peoples", + "cell_type": "code", + "execution_count": 7, + "id": "62ac5fa1", "metadata": {}, + "outputs": [], "source": [ - "Next, we use the `build_multiperiod_design` function to build the constraints $g(u_{t,d}) = 0$ and $h(u_{t,d}) \\le 0$ $\\forall \\; t \\in \\mathcal{T}$ and $\\forall \\; d \\in \\mathcal{C}$. This function creates an instance of the flowsheet (using the `build_ne_flowsheet` function) for each time instance, fixes its degrees of freedom and initializes it (using the `fix_dof_and_initialize` function), and unfixes operational degrees of freedom (using the `unfix_dof` function) described above. Since we are dealing with multiple days/clusters and multiple years (2022 and 2032 LMP signals), we set the `multiple_days` and `multiyear` argument to `True` (see below. Note that the default value of these arguments is `False`). \n", + "def get_linking_variable_pairs(ct, ft):\n", + " \"\"\"Yield pairs of variables that need to be connected across time periods.\n", "\n", - "**Note**: The function, by default, looks for `m.set_time`, `m.set_days` and `m.set_years` objects for the set of hours, days/clusters and years, respectively. However, if the sets are created using a different set of names, then they must be passed to the function explicitly. E.g. `build_multiperiod_design(m, ..., set_time=m.set_time_object, set_days=m.set_days_object, set_years=m.set_years_object)`.\n", + " The only variable that is connected across two time periods is the tank holdup.\n", "\n", - "**Tip**: Building the multiperiod model can take some time. So, set `verbose=True` to moniter the progress" + " Args:\n", + " ct: current time step\n", + " ft: the next time step\n", + " \"\"\"\n", + " return [(ct.fs.h2_tank.tank_holdup[0], ft.fs.h2_tank.tank_holdup_previous[0])]" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "97f6bb19", + "metadata": {}, + "outputs": [], + "source": [ + "def add_capacity_variables(m):\n", + " \n", + " \"\"\"\n", + " This function declares the first-stage variables or design decisions, and\n", + " adds constraints that ensure that the operational variables never exceed their\n", + " design values.\n", + " \"\"\"\n", + " if hasattr(m, \"set_period\"):\n", + " set_period = m.set_period\n", + " else:\n", + " set_period = m.parent_block().set_period\n", + "\n", + " # Declare first-stage variables (Design decisions)\n", + " m.pem_capacity = Var(\n", + " within=NonNegativeReals,\n", + " doc=\"Maximum capacity of the PEM electrolyzer (in kW)\",\n", + " units=pyunits.kW,\n", + " )\n", + " m.tank_capacity = Var(\n", + " within=NonNegativeReals,\n", + " doc=\"Maximum holdup of the tank (in mol)\",\n", + " units=pyunits.mol,\n", + " )\n", + " m.h2_turbine_capacity = Var(\n", + " within=NonNegativeReals,\n", + " doc=\"Maximum power output from the turbine (in W)\",\n", + " units=pyunits.W,\n", + " )\n", + "\n", + " m.pem_capacity_constraint = Constraint(set_period)\n", + " m.tank_capacity_constraint = Constraint(set_period)\n", + " m.turbine_capacity_constraint = Constraint(set_period)\n", + "\n", + " for t in set_period:\n", + " # Ensure that the electricity to the PEM elctrolyzer does not exceed the PEM capacity\n", + " m.pem_capacity_constraint.add(\n", + " t, m.period[t].fs.pem.electricity[0] <= m.pem_capacity\n", + " )\n", + " # Ensure that the final tank holdup does not exceed the tank capacity\n", + " m.tank_capacity_constraint.add(\n", + " t, m.period[t].fs.h2_tank.tank_holdup[0] <= m.tank_capacity\n", + " )\n", + " # Ensure that the power generated by the turbine does not exceed the turbine capacity\n", + " m.turbine_capacity_constraint.add(\n", + " t, - m.period[t].fs.h2_turbine.work_mechanical[0] <= m.h2_turbine_capacity\n", + " )" + ] + }, + { + "cell_type": "markdown", + "id": "e809cb8d", + "metadata": {}, + "source": [ + "Next, we use the `MultiPeriodModel` class to build the constraints $g(u_{t,d}) = 0$ and $h(u_{t,d}) \\le 0$ $\\forall \\; t \\in \\mathcal{T}$ and $\\forall \\; d \\in \\mathcal{C}$. It creates an instance of the flowsheet (using the `build_ne_flowsheet` function) for each time instance, fixes its degrees of freedom and initializes it (using the `fix_dof_and_initialize` function), unfixes operational degrees of freedom (using the `unfix_dof` function), and adds constraints of the form $f(u_{t-1,d}, u_{t,d}) = 0$ (using the `get_linking_variable_pairs` functions). Then, we add the capacity constraints of the form $u_{t,d} \\le D$ using `add_capacity_variables` function. " + ] + }, + { + "cell_type": "markdown", + "id": "4f1120cb", + "metadata": {}, + "source": [ + "
    \n", + "Tip:\n", + "Building the multiperiod model can take some time. To monitor the progress, set `outlvl=logging.INFO`\n", + "
    " ] }, { "cell_type": "code", "execution_count": 9, - "id": "democratic-aurora", + "id": "9c21b065", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[ 0.00] Processing input information.\n", - "[+ 0.00] Beginning the formulation of the multiperiod problem.\n", - "[+ 480.23] Completed the formulation of the multiperiod problem\n", - "2022-09-27 15:47:10 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-09-27 15:47:10 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:10 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:10 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-09-27 15:47:11 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:11 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-09-27 15:47:11 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:11 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:11 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-09-27 15:47:11 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:11 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:11 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:11 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-09-27 15:47:11 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:11 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-09-27 15:47:11 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:11 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:12 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:12 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-09-27 15:47:12 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:12 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-09-27 15:47:12 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:12 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-09-27 15:47:12 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:12 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:12 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-27 15:47:12 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-09-27 15:47:12 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-09-27 15:47:12 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:12 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-09-27 15:47:13 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:13 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:13 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-09-27 15:47:13 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:13 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:13 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-27 15:47:13 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-09-27 15:47:13 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:13 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-09-27 15:47:13 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:13 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-09-27 15:47:14 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-27 15:47:14 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-09-27 15:47:14 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:14 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-09-27 15:47:14 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:14 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:14 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-09-27 15:47:14 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:14 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 15:47:14 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-27 15:47:14 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", - "[+ 4.81] Created an instance of the flowsheet and initialized it.\n", - "[+ 49.10] Initialized the entire multiperiod optimization model.\n", - "[+ 1.02] Unfixed the degrees of freedom from each period model.\n" + "[+ 0.00] Beginning the formulation of the multiperiod optimization problem.\n", + "[+ 500.98] Completed the formulation of the multiperiod optimization problem.\n", + "2023-02-03 17:39:09 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "[+ 7.07] Created an instance of the flowsheet and initialized it.\n", + "[+ 38.23] Initialized the entire multiperiod optimization model.\n", + "[+ 1.16] Unfixed the degrees of freedom from each period model.\n" ] } ], "source": [ - "# Build initialized multiperiod model: Constraints g(u(t,d)) = 0 and h(u(t,d)) <= 0\n", - "build_multiperiod_design(m,\n", - " flowsheet=build_ne_flowsheet,\n", - " initialization=fix_dof_and_initialize,\n", - " unfix_dof=unfix_dof,\n", - " multiple_days=True,\n", - " multiyear=True,\n", - " verbose=False)\n" + "set_years = list(set_years) # Set of years\n", + "set_days = list(LMP[set_years[0]].keys()) # e.g., twenty clusters/days per year\n", + "n_time_points = len(LMP[set_years[0]][set_days[0]].keys()) # e.g., twenty fours in a day\n", + "\n", + "# Formulate the multiperiod optimization problem\n", + "m = MultiPeriodModel(\n", + " n_time_points=n_time_points,\n", + " set_days=set_days,\n", + " set_years=set_years,\n", + " process_model_func=build_ne_flowsheet,\n", + " initialization_func=fix_dof_and_initialize,\n", + " unfix_dof_func=unfix_dof,\n", + " linking_variable_func=get_linking_variable_pairs,\n", + " flowsheet_options={\"np_capacity\": 1000},\n", + " initialization_options={\n", + " \"split_frac_grid\": 0.8,\n", + " \"tank_holdup_previous\": 0,\n", + " \"flow_mol_to_pipeline\": 10,\n", + " \"flow_mol_to_turbine\": 10,\n", + " },\n", + " use_stochastic_build=True,\n", + " outlvl=logging.WARNING,\n", + ")\n", + "\n", + "# Add first-stage variables \n", + "add_capacity_variables(m)" ] }, { "cell_type": "markdown", - "id": "suited-development", + "id": "a6ab0fce", "metadata": {}, "source": [ - "Next, we define \n", - "\n", - "- Function `build_connecting_constraints` to declare the design decisions and to build the constraints $f(u_{t-1,d}, u_{t,d}) = 0$ and $u_{t,d} \\le D$. \n", - "- Function `append_costs_and_revenue` to build expressions for all the cash flows (electricity revenue, hydrogen revenue, fixed O&M, variable O&M, depreciation, etc.)\n", - "\n", - "Observe that we assume (Line 39 in the function below) that each day begins with an empty tank (i.e., zero holdup). This is one of the limitations of working with representative days/clusters. The excess storage at the end of each day cannot be transferred to the following day. This limitation can be overcome by formulating an optimization problem for an entire year, instead of a few representative days. This, however, increases the problem size substantially.\n", - "\n", - "**Note**: It is not necessary to define the above functions for the deterministic case. Nevertheless, we do so because it will be useful for the stochastic case, as we shall see in the next section." + "Next, we fix initial tank holdup at the beginning of each day, and set an upper bound on the amount of hydrogen than can be sold to the market." ] }, { "cell_type": "code", "execution_count": 10, - "id": "optimum-closing", + "id": "22a22379", "metadata": {}, "outputs": [], "source": [ - "def build_connecting_constraints(m, set_time, set_days, set_years):\n", - " \"\"\"\n", - " This function declares the first-stage variables or design decisions,\n", - " adds constraints that ensure that the operational variables never exceed their\n", - " design values, and adds constraints connecting variables at t - 1 and t\n", - " \"\"\"\n", + "# Define parameters\n", + "m.plant_life = plant_life # Plant lifetime: 20 years\n", + "m.tax_rate = 0.2 # Corporate tax rate: 20%\n", + "m.discount_rate = 0.08 # Discount rate: 8%\n", + "m.h2_demand = 1 # Maximum amount of hydrogen that can be sold: 1 kg/s\n", "\n", - " # Declare first-stage variables (Design decisions)\n", - " m.pem_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Maximum capacity of the PEM electrolyzer (in kW)\")\n", - " m.tank_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Maximum holdup of the tank (in mol)\")\n", - " m.h2_turbine_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Maximum power output from the turbine (in W)\")\n", - "\n", - " # Ensure that the electricity to the PEM elctrolyzer does not exceed the PEM capacity\n", - " @m.Constraint(set_time, set_days, set_years)\n", - " def pem_capacity_constraint(blk, t, d, y):\n", - " return blk.period[t, d, y].fs.pem.electricity[0] <= m.pem_capacity\n", - "\n", - " # Ensure that the final tank holdup does not exceed the tank capacity \n", - " @m.Constraint(set_time, set_days, set_years)\n", - " def tank_capacity_constraint(blk, t, d, y):\n", - " return blk.period[t, d, y].fs.h2_tank.tank_holdup[0] <= m.tank_capacity\n", - "\n", - " # Ensure that the power generated by the turbine does not exceed the turbine capacity\n", - " @m.Constraint(set_time, set_days, set_years)\n", - " def turbine_capacity_constraint(blk, t, d, y):\n", - " return (\n", - " - blk.period[t, d, y].fs.h2_turbine.turbine.work_mechanical[0]\n", - " - blk.period[t, d, y].fs.h2_turbine.compressor.work_mechanical[0] <=\n", - " m.h2_turbine_capacity\n", - " )\n", + "m.LMP = LMP\n", + "m.weights_days = weights_days\n", + "MW_H2 = 2.016e-3\n", "\n", - " # Connect the initial tank holdup at time t with the final tank holdup at time t - 1\n", - " @m.Constraint(set_time, set_days, set_years)\n", - " def tank_holdup_constraints(blk, t, d, y):\n", - " if t == 1:\n", - " # Each day begins with an empty tank\n", - " return (\n", - " blk.period[t, d, y].fs.h2_tank.tank_holdup_previous[0] == 0\n", - " )\n", - " else:\n", - " # Initial holdup at time t = final holdup at time t - 1\n", - " return (\n", - " blk.period[t, d, y].fs.h2_tank.tank_holdup_previous[0] ==\n", - " blk.period[t - 1, d, y].fs.h2_tank.tank_holdup[0]\n", - " )" + "# Set initial holdup for each day (Assumed to be zero at the beginning of each day)\n", + "for y in m.set_years:\n", + " for d in m.set_days:\n", + " m.period[1, d, y].fs.h2_tank.tank_holdup_previous.fix(0)\n", + "\n", + "# Hydrogen demand constraint. divide the RHS by the molecular mass to convert kg/s to mol/s\n", + "@m.Constraint(m.set_period)\n", + "def hydrogen_demand_constraint(blk, t, d, y):\n", + " return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / MW_H2" ] }, { "cell_type": "markdown", - "id": "499296f9", + "id": "210c5afa", "metadata": {}, "source": [ - "Next, we initialize global Cash flow attributes within TEAL.\n", + "## Cash Flow Values\n", + "\n", + "We use the numbers in the table below for constructing the cash flow expressions.\n", "\n", - "This includes passing discount rates, plant life, etc. from the notebook to an object of TEAL \n", - "global parameters. \n", + "| Unit | CAPEX | Fixed O&M | Variable O&M |\n", + "| :- | :-: | :-: | :-: |\n", + "| PEM Electrolyzer | \\$1630 /kW | \\$47.9 /kW | \\$1.3 /MWh |\n", + "| Hydrogen tank | \\$29 /kWh | 0 | 0 |\n", + "| Hydrogen turbine | \\$947 /kW | \\$7 /kW | \\$4.25 /Mwh|\n", "\n", - "We also build the remaining constraints and the objective function by calling `build_connecting_constraints` and `append_cost_and_revenue` functions, and solve the optimization problem." + "We refer the reader to the Simulation of the Flowsheet section for the default units of the decision variables. We convert the cost numbers so that the units are consistent with that of the variable." ] }, { - "cell_type": "code", - "execution_count": 11, - "id": "republican-diagnosis", + "cell_type": "markdown", + "id": "221c93c1", + "metadata": {}, + "source": [ + "## Define TEAL Component Cash Flows\n", + "\n", + "We now add a template dictionary with all the Nuclear Case components. \n", + "Each plant component has nested dictionaries for each desired TEAL cash flow. \n", + "Note that all cash flows are defined as:\n", + " $$C_y = m \\alpha_y \\bigg(\\frac{D_y}{D^{\\prime}}\\bigg)^X$$\n", + "The cash flow $C_y$ is indexed by year, but hourly indeces can also be created and summed per year. Other parameters include $\\alpha$, the reference price, $D_y$ the driver for the cash flow (e.g., number of units sold, hours of electricity produced, etc.), $D^{\\prime}$ the reference driver corresponding to $\\alpha$ (optional), $X$ the scaling factor, and $m$ an extra multiplier.\n", + "\n", + "\n", + "The cash flow dictionaries below must have:\n", + "1. an **Expression**: a list of strings of the Pyomo variable name used as the cash flow driver ($D_y$)\n", + "2. a **Value**: the cost per unit ($\\alpha$)\n", + "3. a **Multiplier**: an extra multiplier to distinguish between +/- cash flows ($m$)\n", + "\n", + "Each component must also have a Lifetime but all currently set to be the same. The TEAL-DISPATCHES integration currently does not support scaling factors. \n", + "**NOTE**: All expressions currently correspond to " + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "e7fcb9cb", + "metadata": {}, + "outputs": [], + "source": [ + "components={\n", + " # Electrolyzer: negative Cash flows\n", + " \"pem\":{ \n", + " \"Lifetime\": 20,\n", + " \"Capex\":{\n", + " \"Expressions\": ['pem_capacity'],\n", + " \"Value\": 1630, # $/kW\n", + " \"Multiplier\": [-1],\n", + " \"Amortization\":15,\n", + " },\n", + " \"FixedOM\":{\n", + " \"Expressions\": ['pem_capacity'],\n", + " \"Value\": 47.9, # $/kW\n", + " \"Multiplier\": [-1],\n", + " },\n", + " \"Hourly\":{\n", + " \"Expressions\": ['fs.pem.electricity'],\n", + " \"Value\": 1.3e-3, # $/MWh -> $/kWh\n", + " \"Multiplier\": [-1],\n", + " },\n", + " },\n", + " # Hydrogen Tank: negative Cash flows\n", + " \"h2tank\":{\n", + " \"Lifetime\": 20,\n", + " \"Capex\":{\n", + " \"Expressions\": ['tank_capacity'],\n", + " \"Value\": 1.946851199, # $29/kWh * 33.3 kWh/kg * 2.016e-3 kg/mol\n", + " \"Multiplier\": [-1],\n", + " \"Amortization\":15,\n", + " },\n", + " },\n", + " # Hydrogen Turbine: negative Cash flows\n", + " \"h2turbine\":{ \n", + " \"Lifetime\": 20,\n", + " \"Capex\":{\n", + " \"Expressions\": ['h2_turbine_capacity'],\n", + " \"Value\": 0.947, # $/kW -> $/W\n", + " \"Multiplier\": [-1],\n", + " \"Amortization\":15,\n", + " },\n", + " \"FixedOM\":{\n", + " \"Expressions\": ['h2_turbine_capacity'],\n", + " \"Value\": 0.007, # $/kW -> $/W\n", + " \"Multiplier\": [-1],\n", + " },\n", + " \"Hourly\":{\n", + " \"Expressions\": ['fs.h2_turbine.turbine.work_mechanical',\n", + " 'fs.h2_turbine.compressor.work_mechanical'],\n", + " \"Value\": 4.25e-6, # $/MWh -> $/Wh\n", + " \"Multiplier\": [1, 1], # these values come out with correct sign in expression\n", + " },\n", + " },\n", + " # Electricity Market: positive Cash flows\n", + " \"electricity_market\":{\n", + " \"Lifetime\": 20,\n", + " \"Hourly\":{\n", + " \"Expressions\": ['fs.np_power_split.np_to_grid_port.electricity',\n", + " 'fs.h2_turbine.turbine.work_mechanical',\n", + " 'fs.h2_turbine.compressor.work_mechanical'],\n", + " \"Value\": [], # this is LMP in $/MWh, should be path str to ROM\n", + " \"Multiplier\": [1e-3, -1e-6, -1e-6], # converting to $/kWh and $/Wh\n", + " },\n", + " },\n", + " # Hydrogen Market: positive Cash flows\n", + " \"h2_market\":{\n", + " \"Lifetime\": 20,\n", + " \"Hourly\":{\n", + " \"Expressions\": ['fs.h2_tank.outlet_to_pipeline.flow_mol'], # this is in mol/s\n", + " \"Value\": 6.0, # this is $/kg, NOTE: this is increased from previous $3/kg\n", + " \"Multiplier\": [7.2576] # convert from $/kg -> $/mol and also converting mol/s to mol/hr\n", + " },\n", + " },\n", + "}" + ] + }, + { + "cell_type": "markdown", + "id": "499296f9", + "metadata": {}, + "source": [ + "Next, we initialize global Cash flow attributes within TEAL.\n", + "\n", + "This includes passing discount rates, plant life, etc. from the notebook to an object of TEAL global parameters. " + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "republican-diagnosis", "metadata": {}, "outputs": [], "source": [ "# using full plant life = 20 yrs\n", "# LMP signal only uses 2 years... need to resolve when creating recurring cash flows\n", - "tealSettings = build_econ_settings(components,\n", - " life=m.plant_life,\n", - " dr=m.discount_rate,\n", - " tax=m.tax_rate,\n", - " metrics=['NPV'])\n", - "# Build the connecting constraints\n", - "build_connecting_constraints(m, \n", - " set_time=m.set_time, \n", - " set_days=m.set_days,\n", - " set_years=m.set_years)\n", - "\n", - "# Hydrogen demand constraint. divide the RHS by the molecular mass to convert kg/s to mol/s\n", - "@m.Constraint(m.set_time, m.set_days, m.set_years)\n", - "def hydrogen_demand_constraint(blk, t, d, y):\n", - " return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / 2.016e-3" + "tealSettings = build_econ_settings(\n", + " components,\n", + " life=m.plant_life,\n", + " dr=m.discount_rate,\n", + " tax=m.tax_rate,\n", + " metrics=['NPV'],\n", + ")" ] }, { @@ -923,7 +896,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "id": "c5844dcd", "metadata": {}, "outputs": [ @@ -1365,7 +1338,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "id": "d7355a37", "metadata": {}, "outputs": [ @@ -1373,283 +1346,168 @@ "name": "stdout", "output_type": "stream", "text": [ - "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", + "Ipopt 3.13.2: nlp_scaling_method=gradient-based\n", "tol=1e-06\n", "\n", "\n", "******************************************************************************\n", "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "\n", + "This version of Ipopt was compiled from source code available at\n", + " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", + " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", + " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", + "\n", + "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", + " for large-scale scientific computation. All technical papers, sales and\n", + " publicity material resulting from use of the HSL codes within IPOPT must\n", + " contain the following acknowledgement:\n", + " HSL, a collection of Fortran codes for large-scale scientific\n", + " computation. See http://www.hsl.rl.ac.uk.\n", "******************************************************************************\n", "\n", - "This is Ipopt version 3.14.7, running with linear solver MUMPS 5.5.0.\n", + "This is Ipopt version 3.13.2, running with linear solver ma27.\n", "\n", - "Number of nonzeros in equality constraint Jacobian...: 1451900\n", + "Number of nonzeros in equality constraint Jacobian...: 1451700\n", "Number of nonzeros in inequality constraint Jacobian.: 19200\n", "Number of nonzeros in Lagrangian Hessian.............: 489600\n", "\n", - "Total number of variables............................: 528003\n", - " variables with only lower bounds: 50403\n", + "Total number of variables............................: 527903\n", + " variables with only lower bounds: 50303\n", " variables with lower and upper bounds: 441600\n", " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 520800\n", + "Total number of equality constraints.................: 520700\n", "Total number of inequality constraints...............: 9600\n", " inequality constraints with only lower bounds: 0\n", " inequality constraints with lower and upper bounds: 0\n", " inequality constraints with only upper bounds: 9600\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -1.1545817e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -1.4047409e+09 1.92e+05 2.09e+04 -1.0 2.80e+06 - 3.25e-04 8.95e-01f 1\n", - " 2 -1.4358080e+09 7.50e+03 1.24e+04 -1.0 4.90e+05 - 4.57e-03 9.90e-01f 1\n", - " 3 -1.4361604e+09 1.97e+02 8.13e+03 -1.0 9.59e+03 - 1.16e-01 9.73e-01h 1\n", - " 4 -1.4361617e+09 1.29e+02 1.26e+04 -1.0 1.46e+03 - 3.53e-02 3.48e-01f 1\n", - " 5 -1.4361704e+09 1.29e+01 3.10e+03 -1.0 4.80e+02 - 4.16e-01 9.90e-01h 1\n", - " 6 -1.4361726e+09 2.81e+00 2.82e+05 -1.0 5.86e+01 - 1.62e-01 1.00e+00f 1\n", - " 7 -1.4362302e+09 2.00e+00 9.91e+06 -1.0 3.55e+03 - 2.96e-03 1.00e+00f 1\n", - " 8 -1.4362733e+09 8.30e-02 8.36e+06 -1.0 4.40e+03 - 1.56e-01 5.91e-01f 1\n", - " 9 -1.4363397e+09 1.78e-02 8.24e+06 -1.0 8.04e+03 - 1.48e-02 6.33e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -1.4363781e+09 2.68e-03 7.32e+06 -1.0 2.12e+03 - 1.11e-01 6.59e-01f 1\n", - " 11 -1.4364783e+09 1.28e-03 6.54e+06 -1.0 6.49e+03 - 1.07e-01 6.00e-01f 1\n", - " 12 -1.4365881e+09 6.15e-04 5.75e+06 -1.0 6.27e+03 - 1.20e-01 5.87e-01f 1\n", - " 13 -1.4367435e+09 2.87e-04 5.15e+06 -1.0 6.52e+03 - 1.04e-01 6.01e-01f 1\n", - " 14 -1.4369809e+09 1.13e-04 4.52e+06 -1.0 5.93e+03 - 1.22e-01 6.91e-01f 1\n", - " 15 -1.4371704e+09 6.22e-05 3.94e+06 -1.0 5.81e+03 - 1.28e-01 4.84e-01f 1\n", - " 16 -1.4373663e+09 3.79e-05 3.49e+06 -1.0 6.06e+03 - 1.16e-01 4.19e-01f 1\n", - " 17 -1.4374832e+09 3.03e-05 3.10e+06 -1.0 6.17e+03 - 1.12e-01 2.08e-01f 1\n", - " 18 -1.4376963e+09 2.09e-05 2.82e+06 -1.0 6.65e+03 - 8.89e-02 3.31e-01f 1\n", - " 19 -1.4379525e+09 1.24e-05 2.53e+06 -1.0 6.24e+03 - 1.02e-01 4.44e-01f 1\n", + " 0 -1.0084262e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -1.2260928e+09 1.92e+05 2.07e+04 -1.0 2.80e+06 - 3.24e-04 8.95e-01f 1\n", + " 2 -1.2544379e+09 7.50e+03 1.25e+04 -1.0 4.90e+05 - 4.56e-03 9.90e-01f 1\n", + " 3 -1.2548001e+09 1.98e+02 5.73e+02 -1.0 9.59e+03 - 1.18e-01 9.73e-01h 1\n", + " 4 -1.2548088e+09 1.19e+02 4.18e+02 -1.0 2.25e+02 - 4.23e-01 3.95e-01h 1\n", + " 5 -1.2548236e+09 6.04e+01 1.69e+03 -1.0 3.52e+02 - 5.52e-02 5.85e-01f 1\n", + " 6 -1.2548473e+09 5.22e+00 4.84e+03 -1.0 4.47e+02 - 2.76e-01 1.00e+00f 1\n", + " 7 -1.2548608e+09 3.41e-01 7.61e+02 -1.0 7.04e+02 -4.0 9.64e-03 1.00e+00f 1\n", + " 8 -1.2549547e+09 7.70e-02 7.92e+02 -1.0 8.55e+03 - 4.48e-02 6.59e-01f 1\n", + " 9 -1.2550614e+09 8.15e-04 9.95e+02 -1.0 6.78e+03 - 8.15e-02 6.56e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20 -1.4380490e+09 2.89e-02 2.25e+06 -1.0 6.25e+03 - 1.12e-01 2.02e-01f 1\n", - " 21 -1.4382436e+09 8.93e-03 2.06e+06 -1.0 6.98e+03 - 8.56e-02 3.78e-01f 1\n", - " 22 -1.4383870e+09 6.89e-02 1.83e+06 -1.0 6.35e+03 - 1.09e-01 3.03e-01f 1\n", - " 23 -1.4385699e+09 1.69e-01 1.66e+06 -1.0 7.29e+03 - 9.61e-02 3.70e-01f 1\n", - " 24 -1.4386887e+09 1.07e-01 1.48e+06 -1.0 7.38e+03 - 1.06e-01 2.23e-01f 1\n", - " 25 -1.4389658e+09 6.96e-02 1.35e+06 -1.0 8.07e+03 - 8.82e-02 4.34e-01f 1\n", - " 26 -1.4392462e+09 5.23e-02 1.20e+06 -1.0 8.10e+03 - 1.11e-01 3.99e-01f 1\n", - " 27 -1.4393949e+09 4.33e-02 1.07e+06 -1.0 8.89e+03 - 1.07e-01 1.75e-01f 1\n", - " 28 -1.4395972e+09 3.47e-02 9.82e+05 -1.0 1.01e+04 - 8.44e-02 2.00e-01f 1\n", - " 29 -1.4398603e+09 2.40e-02 9.02e+05 -1.0 9.91e+03 - 8.21e-02 2.25e-01f 1\n", + " 10 -1.2551489e+09 3.61e-04 9.34e+03 -1.0 6.69e+03 - 1.36e-01 4.40e-01f 1\n", + " 11 -1.2552867e+09 3.56e-05 1.56e+04 -1.0 7.49e+03 - 6.12e-02 7.16e-01f 1\n", + " 12 -1.2553441e+09 2.74e-05 1.32e+04 -1.0 5.81e+03 - 1.27e-01 2.63e-01f 1\n", + " 13 -1.2554938e+09 1.72e-05 1.16e+04 -1.0 7.16e+03 - 8.38e-02 5.03e-01f 1\n", + " 14 -1.2556519e+09 1.04e-05 8.86e+03 -1.0 6.54e+03 - 1.11e-01 5.08e-01f 1\n", + " 15 -1.2557337e+09 8.05e-06 7.57e+03 -1.0 6.56e+03 - 1.09e-01 2.50e-01f 1\n", + " 16 -1.2558187e+09 6.43e-06 6.89e+03 -1.0 7.19e+03 - 8.71e-02 2.22e-01f 1\n", + " 17 -1.2559134e+09 5.09e-06 6.14e+03 -1.0 7.02e+03 - 8.50e-02 2.30e-01f 1\n", + " 18 -1.2560971e+09 3.29e-06 5.49e+03 -1.0 7.30e+03 - 8.45e-02 4.40e-01f 1\n", + " 19 -1.2562747e+09 2.08e-06 5.15e+03 -1.0 7.20e+03 - 1.06e-01 4.51e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30 -1.4401441e+09 2.12e-02 8.24e+05 -1.0 1.13e+04 - 8.59e-02 2.08e-01f 1\n", - " 31 -1.4404810e+09 2.10e-02 7.56e+05 -1.0 1.22e+04 - 8.23e-02 2.08e-01f 1\n", - " 32 -1.4404886e+09 1.38e-02 2.76e+05 -1.0 1.56e+02 -4.0 6.35e-01 3.44e-01f 1\n", - " 33 -1.4420823e+09 5.07e-02 2.74e+05 -1.0 3.63e+04 - 8.63e-03 2.98e-01f 1\n", - " 34 -1.4420863e+09 2.66e-02 8.08e+04 -1.0 6.48e+01 -3.6 7.05e-01 4.74e-01f 1\n", - " 35 -1.4449386e+09 2.99e-02 7.96e+04 -1.0 1.17e+05 - 1.55e-02 1.21e-01f 1\n", - " 36 -1.4496697e+09 3.39e-02 7.79e+04 -1.0 1.42e+05 - 2.13e-02 1.34e-01f 1\n", - " 37 -1.4586979e+09 3.73e-02 7.60e+04 -1.0 1.85e+05 - 2.45e-02 1.61e-01f 1\n", - " 38 -1.4587011e+09 1.95e-02 5.93e+04 -1.0 1.10e+02 -3.7 2.19e-01 4.79e-01f 1\n", - " 39 -1.4848054e+09 3.73e-02 5.81e+04 -1.0 3.91e+05 - 2.06e-02 2.04e-01f 1\n", + " 20 -1.2563566e+09 1.70e-06 4.56e+03 -1.0 7.18e+03 - 1.05e-01 1.95e-01f 1\n", + " 21 -1.2567279e+09 8.21e-07 4.61e+03 -1.0 8.08e+03 - 8.15e-02 7.35e-01f 1\n", + " 22 -1.2568264e+09 6.86e-07 4.01e+03 -1.0 7.71e+03 - 1.30e-01 1.71e-01f 1\n", + " 23 -1.2570353e+09 5.10e-07 3.75e+03 -1.0 9.39e+03 - 7.83e-02 2.75e-01f 1\n", + " 24 -1.2573211e+09 3.55e-07 3.33e+03 -1.0 9.41e+03 - 9.41e-02 3.30e-01f 1\n", + " 25 -1.2576003e+09 2.63e-07 2.85e+03 -1.0 1.00e+04 - 9.62e-02 2.78e-01f 1\n", + " 26 -1.2578981e+09 2.02e-07 2.55e+03 -1.0 1.05e+04 - 9.18e-02 2.50e-01f 1\n", + " 27 -1.2584158e+09 1.37e-07 2.45e+03 -1.0 1.18e+04 - 8.57e-02 3.57e-01f 1\n", + " 28 -1.2588437e+09 1.06e-07 2.28e+03 -1.0 1.28e+04 - 9.65e-02 2.38e-01f 1\n", + " 29 -1.2594398e+09 7.96e-08 2.23e+03 -1.0 1.46e+04 - 8.25e-02 2.68e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40 -1.5252288e+09 3.73e-02 5.67e+04 -1.0 7.95e+05 - 2.34e-02 1.45e-01f 1\n", - " 41 -1.5256338e+09 3.73e-02 5.46e+04 -1.0 8.09e+05 - 3.71e-02 1.68e-03f 1\n", - " 42 -1.5256378e+09 3.16e-02 1.30e+04 -1.0 1.18e+02 -4.6 7.61e-01 1.52e-01f 1\n", - " 43 -1.5257625e+09 3.33e-02 1.28e+04 -1.0 1.22e+06 - 1.72e-02 9.02e-02f 1\n", - " 44 -1.5257625e+09 1.29e-05 1.28e+02 -1.0 9.85e+00 -3.3 9.90e-01 1.00e+00f 1\n", - " 45 -1.5257632e+09 8.77e-10 7.14e+00 -1.0 1.97e+01 -3.8 9.90e-01 1.00e+00f 1\n", - " 46 -1.5257691e+09 5.73e-10 1.44e+06 -1.7 4.08e+01 -4.3 8.61e-01 6.80e-01f 1\n", - " 47 -1.5257724e+09 5.78e-10 1.10e+06 -1.7 1.13e+02 -4.7 9.05e-01 5.28e-01f 1\n", - " 48 -1.5257741e+09 5.63e-10 3.21e+05 -1.7 4.28e+01 -4.3 1.00e+00 7.34e-01f 1\n", - " 49 -1.5257748e+09 7.46e-10 2.17e-02 -1.7 1.60e+01 -3.9 1.00e+00 1.00e+00f 1\n", + " 30 -1.2602514e+09 5.75e-08 2.09e+03 -1.0 1.63e+04 - 8.51e-02 3.01e-01f 1\n", + " 31 -1.2611517e+09 4.32e-08 1.95e+03 -1.0 1.86e+04 - 8.76e-02 2.67e-01f 1\n", + " 32 -1.2625891e+09 2.99e-08 1.94e+03 -1.0 2.21e+04 - 8.23e-02 3.38e-01f 1\n", + " 33 -1.2646343e+09 1.99e-08 1.99e+03 -1.0 2.65e+04 - 8.59e-02 3.67e-01f 1\n", + " 34 -1.2674747e+09 1.31e-08 2.01e+03 -1.0 3.35e+04 - 8.41e-02 3.70e-01f 1\n", + " 35 -1.2732275e+09 7.00e-09 2.08e+03 -1.0 4.27e+04 - 8.27e-02 5.24e-01f 1\n", + " 36 -1.2798909e+09 4.53e-09 2.01e+03 -1.0 6.30e+04 - 8.79e-02 3.78e-01f 1\n", + " 37 -1.2914328e+09 2.73e-09 1.96e+03 -1.0 9.13e+04 - 7.82e-02 4.27e-01f 1\n", + " 38 -1.3112131e+09 1.56e-09 1.88e+03 -1.0 1.35e+05 - 7.99e-02 4.61e-01f 1\n", + " 39 -1.3488134e+09 7.79e-10 1.81e+03 -1.0 1.92e+05 - 7.33e-02 5.40e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50 -1.5258336e+09 3.57e-06 5.79e+00 -3.8 1.24e+08 - 5.11e-04 8.21e-04f 1\n", - " 51 -1.5258349e+09 2.47e-06 4.78e+05 -3.8 1.47e+02 -4.8 5.34e-01 2.93e-01f 1\n", - " 52 -1.5258358e+09 1.45e-06 3.00e+05 -3.8 5.79e+01 -4.4 4.17e-01 4.01e-01f 1\n", - " 53 -1.5258625e+09 3.53e-06 3.00e+05 -3.8 5.43e+08 - 1.33e-04 1.87e-04f 1\n", - " 54 -1.5258629e+09 2.66e-06 3.56e+05 -3.8 6.45e+01 -4.5 4.72e-01 2.37e-01f 1\n", - " 55 -1.5258633e+09 1.38e-06 1.91e+05 -3.8 2.52e+01 -4.0 4.64e-01 4.63e-01f 1\n", - " 56 -1.5258639e+09 8.29e-07 1.44e+05 -3.8 7.30e+01 -4.5 5.18e-01 3.69e-01f 1\n", - " 57 -1.5258639e+09 4.91e-07 9.98e+04 -3.8 3.61e+00 -3.2 6.04e-01 4.06e-01f 1\n", - " 58 -1.5258640e+09 2.75e-07 6.28e+04 -3.8 1.07e+01 -3.7 6.42e-01 4.32e-01f 1\n", - " 59 -1.5258641e+09 1.23e-07 3.24e+04 -3.8 4.04e+00 -3.2 9.41e-01 5.49e-01f 1\n", + " 40 -1.3491904e+09 7.89e-10 1.54e+03 -1.0 1.84e+05 - 1.30e-01 7.96e-03f 1\n", + " 41 -1.3492049e+09 7.59e-10 1.33e+03 -1.0 9.96e+04 - 1.20e-01 6.24e-02f 1\n", + " 42 -1.3493280e+09 5.92e-10 1.44e+03 -1.0 1.09e+05 - 9.85e-02 6.47e-01f 1\n", + " 43 -1.3494400e+09 7.20e-10 1.26e+03 -1.0 8.54e+04 - 2.10e-01 9.46e-01f 1\n", + " 44 -1.3494625e+09 5.96e-10 9.56e+02 -1.0 8.88e+04 - 2.23e-01 4.98e-01f 1\n", + " 45 -1.3494970e+09 5.72e-10 8.28e+02 -1.0 9.39e+04 - 2.24e-01 9.80e-01f 1\n", + " 46 -1.3495185e+09 6.63e-10 6.98e+02 -1.0 9.03e+04 - 2.31e-01 1.00e+00f 1\n", + " 47 -1.3495323e+09 6.47e-10 8.26e+02 -1.0 8.34e+04 - 2.93e-01 1.00e+00f 1\n", + " 48 -1.3495402e+09 7.04e-10 2.66e+03 -1.0 8.02e+04 - 2.44e-01 1.00e+00f 1\n", + " 49 -1.3495421e+09 6.01e-10 4.21e+03 -1.0 8.73e+04 - 3.23e-01 4.85e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60 -1.5258642e+09 8.05e-08 2.18e+04 -3.8 1.21e+01 -3.7 1.00e+00 3.40e-01f 1\n", - " 61 -1.5258643e+09 6.43e-08 1.75e+04 -3.8 3.57e+01 -4.2 1.00e+00 1.96e-01f 1\n", - " 62 -1.5258952e+09 6.09e-06 1.75e+04 -3.8 1.37e+10 - 5.28e-06 8.41e-06f 1\n", - " 63 -1.5258953e+09 5.21e-06 1.50e+04 -3.8 3.95e+01 -4.2 9.43e-01 1.44e-01f 1\n", - " 64 -1.5259129e+09 1.18e-05 1.50e+04 -3.8 1.25e+10 - 5.22e-06 8.87e-06f 1\n", - " 65 -1.5259131e+09 8.39e-06 1.08e+04 -3.8 4.43e+01 -4.3 1.00e+00 2.82e-01f 1\n", - " 66 -1.5259270e+09 1.80e-05 1.08e+04 -3.8 1.14e+10 - 5.72e-06 1.08e-05f 1\n", - " 67 -1.5259333e+09 2.03e-05 1.08e+04 -3.8 1.39e+10 - 6.21e-06 5.33e-06f 1\n", - " 68 -1.5259438e+09 2.44e-05 1.08e+04 -3.8 1.67e+10 - 3.98e-06 7.18e-06f 1\n", - " 69 -1.5259474e+09 2.70e-05 1.08e+04 -3.8 1.04e+10 - 5.48e-06 5.78e-06f 1\n", + " 50 -1.3495427e+09 6.24e-10 4.31e+03 -1.0 9.42e+04 - 2.37e-01 2.60e-01f 1\n", + " 51 -1.3495430e+09 6.10e-10 9.37e+03 -1.0 1.04e+05 - 1.03e-01 1.62e-01f 1\n", + " 52 -1.3495437e+09 6.15e-10 2.61e+04 -1.0 1.01e+05 - 1.44e-01 2.96e-01f 1\n", + " 53 -1.3495449e+09 5.98e-10 2.89e+04 -1.0 9.52e+04 - 8.67e-02 2.89e-01f 1\n", + " 54 -1.3495458e+09 5.67e-10 2.63e+04 -1.0 8.49e+04 - 1.02e-01 2.24e-01f 1\n", + " 55 -1.3495465e+09 6.60e-10 1.97e+04 -1.0 7.63e+04 - 2.71e-01 1.65e-01f 1\n", + " 56 -1.3495478e+09 6.33e-10 1.46e+04 -1.0 9.34e+04 - 2.22e-01 2.99e-01f 1\n", + " 57 -1.3495489e+09 5.82e-10 1.06e+04 -1.0 1.04e+05 - 2.46e-01 2.94e-01f 1\n", + " 58 -1.3495502e+09 6.24e-10 7.17e+03 -1.0 1.00e+05 - 2.75e-01 3.54e-01f 1\n", + " 59 -1.3495518e+09 5.55e-10 5.50e+03 -1.0 8.32e+04 - 3.23e-01 6.01e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70 -1.5259475e+09 2.20e-05 8.77e+03 -3.8 1.26e+02 -4.0 1.00e+00 1.85e-01f 1\n", - " 71 -1.5259475e+09 9.86e-06 3.98e+03 -3.8 7.90e+00 -3.5 1.00e+00 5.47e-01f 1\n", - " 72 -1.5259476e+09 7.33e-06 2.97e+03 -3.8 2.37e+01 -4.0 1.00e+00 2.53e-01f 1\n", - " 73 -1.5259555e+09 2.27e-05 2.97e+03 -3.8 7.34e+09 - 7.15e-06 1.40e-05f 1\n", - " 74 -1.5259556e+09 1.40e-05 1.85e+03 -3.8 2.65e+01 -4.1 1.00e+00 3.77e-01f 1\n", - " 75 -1.5259614e+09 2.98e-05 1.85e+03 -3.8 8.46e+09 - 8.73e-06 1.45e-05f 1\n", - " 76 -1.5259636e+09 3.44e-05 1.85e+03 -3.8 5.87e+09 - 7.02e-06 7.90e-06f 1\n", - " 77 -1.5259681e+09 4.10e-05 1.85e+03 -3.8 1.16e+10 - 7.75e-06 9.40e-06f 1\n", - " 78 -1.5259681e+09 3.38e-05 1.53e+03 -3.8 3.31e+01 -4.2 1.00e+00 1.74e-01f 1\n", - " 79 -1.5259682e+09 1.83e-05 8.35e+02 -3.8 1.21e+01 -3.7 1.00e+00 4.53e-01f 1\n", + " 60 -1.3495507e+09 5.73e-10 6.20e+03 -1.0 3.90e+04 - 1.77e-01 3.34e-01f 1\n", + " 61 -1.3495496e+09 5.54e-10 3.41e+03 -1.0 2.54e+04 - 2.83e-01 2.22e-01f 1\n", + " 62 -1.3495478e+09 6.00e-10 3.04e+03 -1.0 3.71e+04 - 1.34e-01 3.43e-01f 1\n", + " 63 -1.3495450e+09 5.73e-10 1.86e+03 -1.0 5.02e+04 - 3.61e-01 5.53e-01f 1\n", + " 64 -1.3495395e+09 6.16e-10 3.47e+02 -1.0 7.44e+04 - 6.15e-01 1.00e+00f 1\n", + " 65 -1.3495347e+09 6.97e-10 1.92e+01 -1.0 3.36e+04 - 9.62e-01 1.00e+00f 1\n", + " 66 -1.3495316e+09 6.10e-10 9.59e+00 -1.0 8.35e+03 - 9.91e-01 1.00e+00f 1\n", + " 67 -1.3495315e+09 6.73e-10 8.23e-01 -1.0 1.87e+03 - 1.00e+00 1.00e+00f 1\n", + " 68 -1.3496476e+09 6.64e-10 1.28e+01 -1.7 6.48e+04 - 1.00e+00 1.00e+00f 1\n", + " 69 -1.3496481e+09 5.63e-10 2.23e-02 -1.7 1.12e+03 - 1.00e+00 1.00e+00f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80 -1.5259683e+09 1.45e-05 6.61e+02 -3.8 3.60e+01 -4.2 1.00e+00 2.09e-01f 1\n", - " 81 -1.5259754e+09 4.73e-05 6.61e+02 -3.8 6.42e+09 - 8.92e-06 2.16e-05f 1\n", - " 82 -1.5259787e+09 5.11e-05 6.61e+02 -3.8 8.60e+09 - 8.52e-06 7.44e-06f 1\n", - " 83 -1.5259788e+09 2.84e-05 3.70e+02 -3.8 8.29e+01 -3.8 4.15e-01 4.41e-01f 1\n", - " 84 -1.5259789e+09 2.39e-05 3.12e+02 -3.8 4.55e+01 -4.3 1.00e+00 1.55e-01f 1\n", - " 85 -1.5259835e+09 4.94e-05 3.12e+02 -3.8 3.84e+09 - 1.07e-05 1.98e-05f 1\n", - " 86 -1.5259836e+09 3.86e-05 2.45e+02 -3.8 5.11e+01 -4.4 1.00e+00 2.17e-01f 1\n", - " 87 -1.5259872e+09 6.15e-05 2.45e+02 -3.8 4.50e+09 - 1.65e-05 1.92e-05f 1\n", - " 88 -1.5259929e+09 6.84e-05 2.45e+02 -3.8 1.36e+10 - 3.76e-06 1.07e-05f 1\n", - " 89 -1.5259934e+09 7.28e-05 2.45e+02 -3.8 8.30e+08 - 4.20e-05 8.62e-06f 1\n", + " 70 -1.3496691e+09 5.71e-10 4.54e+03 -3.8 1.66e+04 - 9.74e-01 7.23e-01f 1\n", + " 71 -1.3496735e+09 6.23e-10 8.77e+03 -3.8 4.68e+03 - 1.00e+00 5.43e-01f 1\n", + " 72 -1.3496749e+09 5.21e-10 5.15e+03 -3.8 2.13e+03 - 1.00e+00 4.09e-01f 1\n", + " 73 -1.3496758e+09 6.88e-10 2.91e+03 -3.8 1.24e+03 - 8.97e-01 4.36e-01f 1\n", + " 74 -1.3496762e+09 6.36e-10 1.63e+03 -3.8 6.62e+02 - 9.82e-01 4.40e-01f 1\n", + " 75 -1.3496764e+09 6.25e-10 6.82e+02 -3.8 3.24e+02 - 1.00e+00 5.81e-01f 1\n", + " 76 -1.3496764e+09 5.89e-10 3.86e+02 -3.8 9.14e+01 - 1.00e+00 4.34e-01f 1\n", + " 77 -1.3496764e+09 5.89e-10 2.43e+02 -3.8 5.47e+01 - 5.01e-01 3.70e-01f 1\n", + " 78 -1.3496764e+09 5.68e-10 1.30e+02 -3.8 5.53e+01 - 5.72e-01 4.65e-01f 1\n", + " 79 -1.3496765e+09 5.22e-10 6.14e+01 -3.8 7.74e+01 - 6.74e-01 5.28e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90 -1.5259967e+09 8.02e-05 2.45e+02 -3.8 1.62e+10 - 8.42e-07 1.13e-05f 1\n", - " 91 -1.5259971e+09 8.37e-05 2.45e+02 -3.8 6.85e+08 - 2.03e-05 7.72e-06f 1\n", - " 92 -1.5259972e+09 3.89e-05 1.15e+02 -3.8 3.81e+01 -3.6 3.38e-01 5.31e-01f 1\n", - " 93 -1.5259973e+09 2.74e-05 8.11e+01 -3.8 2.73e+01 -4.1 1.00e+00 2.93e-01f 1\n", - " 94 -1.5260043e+09 1.25e-03 8.11e+01 -3.8 7.70e+08 - 2.49e-05 1.48e-04f 1\n", - " 95 -1.5260045e+09 7.36e-04 4.78e+01 -3.8 3.06e+01 -4.2 1.00e+00 4.10e-01f 1\n", - " 96 -1.5260072e+09 7.88e-04 4.78e+01 -3.8 2.23e+09 - 1.65e-05 3.41e-05f 1\n", - " 97 -1.5260088e+09 8.00e-04 4.78e+01 -3.8 4.96e+09 - 2.36e-05 1.69e-05f 1\n", - " 98 -1.5260093e+09 8.18e-04 4.78e+01 -3.8 2.42e+07 - 1.82e-04 2.09e-05f 1\n", - " 99 -1.5260113e+09 8.34e-04 4.78e+01 -3.8 9.35e+09 - 5.27e-07 2.05e-05f 1\n", + " 80 -1.3496765e+09 5.82e-10 4.86e+00 -3.8 2.72e+01 - 5.96e-01 1.00e+00f 1\n", + " 81 -1.3496765e+09 7.07e-10 1.81e-03 -3.8 8.37e+00 - 1.00e+00 1.00e+00f 1\n", + " 82 -1.3496765e+09 6.31e-10 1.59e-05 -3.8 1.26e+00 - 1.00e+00 1.00e+00h 1\n", + " 83 -1.3496765e+09 6.32e-10 1.32e+01 -5.7 1.30e+02 - 2.43e-01 2.07e-01f 1\n", + " 84 -1.3496765e+09 6.76e-10 9.93e+01 -5.7 4.14e+01 - 5.36e-01 2.15e-01f 1\n", + " 85 -1.3496765e+09 5.57e-10 2.04e+01 -5.7 3.01e+01 - 4.58e-01 6.05e-01f 1\n", + " 86 -1.3496765e+09 5.47e-10 1.69e+01 -5.7 1.19e+01 - 5.90e-01 4.95e-01f 1\n", + " 87 -1.3496765e+09 5.74e-10 1.87e+01 -5.7 5.99e+00 - 9.29e-01 6.06e-01f 1\n", + " 88 -1.3496765e+09 5.26e-10 6.71e+00 -5.7 2.33e+00 - 1.00e+00 7.26e-01f 1\n", + " 89 -1.3496765e+09 6.07e-10 3.45e-05 -5.7 5.91e-01 - 1.00e+00 1.00e+00f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100 -1.5260116e+09 8.40e-04 9.21e+01 -3.8 6.24e+06 - 8.65e-04 1.31e-05f 1\n", - " 101 -1.5260180e+09 3.08e-02 7.05e+01 -3.8 2.41e+07 - 2.95e-05 3.76e-04f 1\n", - " 102 -1.5260180e+09 1.37e-06 3.55e-03 -3.8 3.38e+00 -3.0 1.00e+00 1.00e+00f 1\n", - " 103 -1.5260181e+09 4.20e-07 8.09e+00 -3.8 6.13e+00 -3.5 9.12e-01 6.93e-01f 1\n", - " 104 -1.5260200e+09 7.20e-04 1.91e+01 -3.8 1.12e+07 - 3.58e-04 1.05e-04f 1\n", - " 105 -1.5260200e+09 5.16e-04 4.50e+01 -3.8 2.24e+01 -3.5 1.00e+00 2.84e-01f 1\n", - " 106 -1.5260201e+09 1.70e-07 2.32e+00 -3.8 2.58e+00 -3.1 9.68e-01 1.00e+00f 1\n", - " 107 -1.5260201e+09 5.82e-08 1.96e+01 -3.8 7.69e+00 -3.6 1.00e+00 6.58e-01f 1\n", - " 108 -1.5260202e+09 2.66e-08 2.08e+01 -3.8 2.84e+00 -3.1 1.00e+00 5.42e-01f 1\n", - " 109 -1.5260202e+09 9.11e-09 4.62e+01 -3.8 8.51e+00 -3.6 1.00e+00 6.58e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110 -1.5260354e+09 6.04e-02 4.62e+01 -3.8 1.21e+07 - 3.87e-04 8.87e-04f 1\n", - " 111 -1.5260354e+09 6.04e-02 2.69e+02 -3.8 1.56e+01 -3.7 9.75e-02 1.21e-03f 1\n", - " 112 -1.5260402e+09 6.18e-02 2.69e+02 -3.8 7.01e+06 - 5.13e-04 4.23e-04f 1\n", - " 113 -1.5260466e+09 6.28e-02 2.69e+02 -3.8 8.76e+06 - 4.72e-04 6.88e-04f 1\n", - " 114 -1.5260466e+09 6.12e-02 2.64e+02 -3.8 3.20e+01 -4.2 2.49e-01 2.47e-02f 1\n", - " 115 -1.5260467e+09 6.12e-02 2.64e+02 -3.8 4.48e+06 - 7.53e-04 5.08e-06f 1\n", - " 116 -1.5260533e+09 6.15e-02 2.63e+02 -3.8 4.66e+06 - 5.06e-04 1.13e-03f 1\n", - " 117 -1.5260534e+09 4.53e-02 3.10e+02 -3.8 6.22e+00 -2.9 1.27e-01 2.63e-01f 1\n", - " 118 -1.5260534e+09 3.15e-02 2.51e+02 -3.8 5.08e+00 -3.4 3.78e-01 3.05e-01f 1\n", - " 119 -1.5260534e+09 2.98e-02 2.37e+02 -3.8 2.93e+01 -3.9 6.25e-02 5.53e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 120 -1.5260584e+09 2.99e-02 2.36e+02 -3.8 2.45e+06 - 1.69e-03 1.20e-03f 1\n", - " 121 -1.5260584e+09 2.29e-02 5.57e+02 -3.8 3.08e+01 -3.9 4.40e-02 2.33e-01f 1\n", - " 122 -1.5260584e+09 2.27e-02 5.51e+02 -3.8 4.87e+01 -4.4 1.81e-02 1.05e-02f 1\n", - " 123 -1.5260584e+09 1.96e-02 4.76e+02 -3.8 3.33e+01 -4.0 5.69e-02 1.36e-01f 1\n", - " 124 -1.5260584e+09 1.40e-02 6.01e+02 -3.8 1.16e+01 -3.5 5.86e-02 2.84e-01f 1\n", - " 125 -1.5260584e+09 1.39e-02 5.95e+02 -3.8 2.04e+01 -4.0 5.68e-02 1.11e-02f 1\n", - " 126 -1.5260634e+09 1.42e-02 5.94e+02 -3.8 1.43e+06 - 1.86e-03 1.78e-03f 1\n", - " 127 -1.5260664e+09 1.43e-02 5.93e+02 -3.8 9.32e+05 - 3.56e-03 1.60e-03f 1\n", - " 128 -1.5260664e+09 1.40e-02 5.77e+02 -3.8 9.51e+00 -3.6 4.59e-02 2.63e-02f 1\n", - " 129 -1.5260714e+09 1.48e-02 5.75e+02 -3.8 5.47e+05 - 6.09e-04 4.12e-03f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 130 -1.5260736e+09 1.51e-02 5.73e+02 -3.8 3.26e+05 - 9.99e-03 2.61e-03f 1\n", - " 131 -1.5260765e+09 1.59e-02 5.69e+02 -3.8 1.53e+05 - 3.02e-03 7.00e-03f 1\n", - " 132 -1.5260774e+09 1.60e-02 5.67e+02 -3.8 9.94e+04 - 9.09e-03 3.49e-03f 1\n", - " 133 -1.5260789e+09 1.62e-02 5.63e+02 -3.8 1.01e+05 - 4.34e-03 8.32e-03f 1\n", - " 134 -1.5260793e+09 1.62e-02 5.61e+02 -3.8 8.54e+04 - 2.39e-03 3.19e-03f 1\n", - " 135 -1.5260793e+09 8.67e-03 4.12e+02 -3.8 6.84e+00 -2.5 3.74e-01 4.65e-01f 1\n", - " 136 -1.5260793e+09 7.77e-03 4.95e+02 -3.8 1.60e+00 -2.9 1.79e-01 1.04e-01f 1\n", - " 137 -1.5260793e+09 3.50e-03 3.20e+02 -3.8 6.10e-01 -2.5 6.19e-01 5.50e-01f 1\n", - " 138 -1.5260793e+09 2.68e-03 2.11e+02 -3.8 1.61e+00 -3.0 1.71e-01 2.35e-01f 1\n", - " 139 -1.5260805e+09 5.93e-03 2.03e+02 -3.8 4.49e+04 - 2.54e-03 1.39e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 140 -1.5260812e+09 1.09e-02 2.03e+02 -3.8 2.92e+04 - 1.64e-02 1.12e-02f 1\n", - " 141 -1.5260812e+09 7.53e-03 3.27e+02 -3.8 5.24e+00 -2.6 4.51e-01 3.12e-01f 1\n", - " 142 -1.5260812e+09 5.93e-03 2.13e+02 -3.8 1.47e+00 -3.1 4.50e-01 2.13e-01f 1\n", - " 143 -1.5260819e+09 1.21e-02 2.05e+02 -3.8 1.50e+04 - 9.60e-03 2.59e-02f 1\n", - " 144 -1.5260819e+09 1.03e-02 6.66e+02 -3.8 1.18e+01 -3.1 5.70e-01 1.46e-01f 1\n", - " 145 -1.5260819e+09 2.97e-03 1.36e+02 -3.8 5.17e-01 -2.7 1.00e+00 7.13e-01f 1\n", - " 146 -1.5260824e+09 1.18e-02 1.31e+02 -3.8 1.23e+04 - 6.80e-03 3.63e-02f 1\n", - " 147 -1.5260824e+09 1.18e-02 1.30e+02 -3.8 8.82e+03 - 3.20e-02 6.99e-03f 1\n", - " 148 -1.5260825e+09 1.16e-02 1.28e+02 -3.8 1.76e+04 - 6.91e-03 1.56e-02f 1\n", - " 149 -1.5260825e+09 1.10e-02 1.22e+02 -3.8 1.04e+00 -2.8 9.55e-02 4.56e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 150 -1.5260825e+09 6.40e-03 7.18e+01 -3.8 1.09e+00 -3.3 2.39e-01 4.21e-01f 1\n", - " 151 -1.5260826e+09 1.10e-02 7.01e+01 -3.8 1.22e+04 - 1.74e-02 2.23e-02f 1\n", - " 152 -1.5260826e+09 7.20e-04 6.54e+01 -3.8 1.56e+00 -2.5 1.00e+00 9.40e-01f 1\n", - " 153 -1.5260826e+09 2.42e-07 9.03e-04 -3.8 3.77e-01 -2.9 1.00e+00 1.00e+00f 1\n", - " 154 -1.5260828e+09 7.99e-04 3.07e+01 -5.7 4.81e+03 - 2.94e-02 4.34e-02f 1\n", - " 155 -1.5260828e+09 2.32e-03 4.48e+01 -5.7 6.97e+03 - 1.78e-02 3.24e-02f 1\n", - " 156 -1.5260828e+09 1.51e-03 7.11e+02 -5.7 9.72e-01 -2.6 3.93e-01 3.49e-01f 1\n", - " 157 -1.5260828e+09 1.07e-03 3.97e+03 -5.7 5.80e-01 -3.0 6.83e-01 2.96e-01f 1\n", - " 158 -1.5260828e+09 6.53e-04 3.46e+03 -5.7 2.43e-01 -2.6 7.96e-01 3.87e-01f 1\n", - " 159 -1.5260829e+09 4.85e-04 2.83e+03 -5.7 6.75e-01 -3.1 8.66e-01 2.57e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 160 -1.5260829e+09 1.47e-04 8.69e+02 -5.7 2.54e-01 -2.7 9.41e-01 6.98e-01f 1\n", - " 161 -1.5260829e+09 1.47e-04 8.68e+02 -5.7 2.63e+05 - 6.69e-04 6.36e-06f 1\n", - " 162 -1.5260829e+09 3.25e-04 8.68e+02 -5.7 1.91e+05 - 4.61e-04 8.58e-04f 1\n", - " 163 -1.5260830e+09 3.25e-04 8.68e+02 -5.7 2.93e+05 - 3.04e-04 4.20e-04f 1\n", - " 164 -1.5260830e+09 3.25e-04 8.67e+02 -5.7 1.61e+05 - 5.73e-04 4.87e-04f 1\n", - " 165 -1.5260830e+09 2.93e-04 1.38e+03 -5.7 2.75e+01 -3.2 4.36e-01 9.90e-02f 1\n", - " 166 -1.5260830e+09 2.93e-04 1.38e+03 -5.7 1.06e+05 - 1.45e-03 1.31e-05f 1\n", - " 167 -1.5260830e+09 2.92e-04 1.38e+03 -5.7 9.62e+04 - 6.42e-04 1.60e-03f 1\n", - " 168 -1.5260830e+09 2.92e-04 1.38e+03 -5.7 5.47e+04 - 1.70e-03 6.35e-04f 1\n", - " 169 -1.5260831e+09 2.91e-04 1.37e+03 -5.7 4.01e+04 - 8.60e-04 8.28e-04f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 170 -1.5260831e+09 2.57e-04 1.28e+03 -5.7 8.81e+00 -3.8 7.91e-02 1.17e-01f 1\n", - " 171 -1.5260831e+09 2.57e-04 1.28e+03 -5.7 3.35e+04 - 7.39e-04 6.38e-04f 1\n", - " 172 -1.5260831e+09 1.86e-04 5.00e+02 -5.7 2.45e+00 -2.1 6.57e-01 2.76e-01f 1\n", - " 173 -1.5260831e+09 1.58e-04 4.25e+02 -5.7 1.66e-01 -2.5 5.29e-01 1.50e-01f 1\n", - " 174 -1.5260831e+09 1.58e-04 4.25e+02 -5.7 2.69e+04 - 7.71e-04 6.50e-05f 1\n", - " 175 -1.5260831e+09 1.58e-04 4.23e+02 -5.7 9.60e+00 -3.5 2.82e-02 4.36e-03f 1\n", - " 176 -1.5260831e+09 1.49e-04 4.02e+02 -5.7 3.33e+00 -4.0 1.96e-01 5.19e-02f 1\n", - " 177 -1.5260831e+09 1.49e-04 4.01e+02 -5.7 2.43e+04 - 9.03e-04 4.52e-04f 1\n", - " 178 -1.5260831e+09 1.49e-04 4.01e+02 -5.7 5.76e+01 -4.0 2.51e-02 1.47e-03f 1\n", - " 179 -1.5260831e+09 1.38e-04 3.71e+02 -5.7 1.33e+00 -3.6 1.40e-01 7.54e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 180 -1.5260831e+09 1.18e-04 3.17e+02 -5.7 5.13e-01 -3.2 2.94e-01 1.46e-01f 1\n", - " 181 -1.5260831e+09 1.06e-04 2.85e+02 -5.7 1.32e+00 -3.6 9.93e-02 1.01e-01f 1\n", - " 182 -1.5260831e+09 1.06e-04 2.84e+02 -5.7 2.09e+04 - 1.53e-03 1.10e-03f 1\n", - " 183 -1.5260831e+09 1.01e-04 2.72e+02 -5.7 1.31e+00 -3.7 6.31e-02 4.40e-02f 1\n", - " 184 -1.5260831e+09 9.71e-05 2.61e+02 -5.7 3.46e+00 -4.2 1.28e-01 3.94e-02f 1\n", - " 185 -1.5260831e+09 9.71e-05 2.60e+02 -5.7 1.57e+04 - 3.41e-03 3.15e-04f 1\n", - " 186 -1.5260831e+09 3.46e-04 2.60e+02 -5.7 1.46e+04 - 1.36e-03 4.25e-03f 1\n", - " 187 -1.5260831e+09 4.39e-04 2.58e+02 -5.7 6.02e+03 - 7.43e-03 2.39e-03f 1\n", - " 188 -1.5260831e+09 1.04e-03 2.56e+02 -5.7 2.53e+03 - 8.77e-03 9.82e-03f 1\n", - " 189 -1.5260831e+09 1.79e-03 2.52e+02 -5.7 8.92e+02 - 1.35e-02 1.61e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 190 -1.5260832e+09 2.72e-03 2.46e+02 -5.7 2.60e+02 - 2.60e-02 2.69e-02f 1\n", - " 191 -1.5260832e+09 3.55e-03 2.29e+02 -5.7 6.35e+01 - 7.05e-02 3.60e-02f 1\n", - " 192 -1.5260832e+09 3.07e-03 1.98e+02 -5.7 2.84e+00 -3.5 1.23e-01 1.36e-01f 1\n", - " 193 -1.5260832e+09 3.86e-03 1.74e+02 -5.7 1.90e+01 - 1.30e-01 5.05e-02f 1\n", - " 194 -1.5260832e+09 2.09e-03 1.11e+02 -5.7 3.41e-01 -2.6 7.64e-01 4.60e-01f 1\n", - " 195 -1.5260832e+09 2.42e-04 1.26e+01 -5.7 1.84e-01 -2.2 8.90e-01 8.86e-01f 1\n", - " 196 -1.5260832e+09 7.73e-05 4.10e+00 -5.7 3.63e-02 -2.7 1.00e+00 6.81e-01f 1\n", - " 197 -1.5260832e+09 5.03e-04 7.63e+00 -5.7 1.26e+01 - 4.91e-02 1.63e-01f 1\n", - " 198 -1.5260832e+09 6.03e-04 4.84e+00 -5.7 6.71e+00 - 2.34e-01 4.23e-02f 1\n", - " 199 -1.5260832e+09 7.41e-04 8.39e+00 -5.7 2.95e+00 - 2.41e-01 6.46e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 200 -1.5260832e+09 1.62e-03 3.65e+00 -5.7 2.10e+00 - 5.20e-01 5.38e-01f 1\n", - " 201 -1.5260832e+09 7.67e-05 1.13e-01 -5.7 5.67e-01 -2.8 1.00e+00 1.00e+00f 1\n", - " 202 -1.5260832e+09 6.46e-10 6.93e-03 -5.7 1.75e-02 -3.3 1.00e+00 1.00e+00h 1\n", - " 203 -1.5260832e+09 5.89e-10 7.62e-06 -5.7 4.10e-02 -3.7 1.00e+00 1.00e+00h 1\n", - " 204 -1.5260832e+09 9.62e-06 9.27e+00 -7.0 9.08e-01 - 9.04e-01 6.82e-01f 1\n", - " 205 -1.5260832e+09 2.66e-07 1.25e+02 -7.0 1.37e+00 - 5.40e-01 1.00e+00f 1\n", - " 206 -1.5260832e+09 6.02e-10 3.78e+00 -7.0 1.18e+00 - 5.84e-01 1.00e+00h 1\n", - " 207 -1.5260832e+09 5.62e-10 1.14e+00 -7.0 2.36e+00 - 6.97e-01 1.00e+00h 1\n", - " 208 -1.5260832e+09 5.16e-10 2.28e-01 -7.0 3.31e+00 - 8.01e-01 7.82e-01h 1\n", - " 209 -1.5260832e+09 4.66e-10 7.89e-11 -7.0 1.26e+00 - 1.00e+00 1.00e+00f 1\n", + " 90 -1.3496765e+09 6.02e-10 5.10e-09 -5.7 4.77e-02 - 1.00e+00 1.00e+00h 1\n", + " 91 -1.3496765e+09 5.84e-10 1.30e+00 -7.0 4.73e-01 - 1.00e+00 6.98e-01f 1\n", + " 92 -1.3496765e+09 5.88e-10 2.32e-06 -7.0 1.42e-01 - 1.00e+00 1.00e+00f 1\n", + " 93 -1.3496765e+09 6.39e-10 1.02e-12 -7.0 6.35e-03 - 1.00e+00 1.00e+00h 1\n", "\n", - "Number of Iterations....: 209\n", + "Number of Iterations....: 93\n", "\n", " (scaled) (unscaled)\n", - "Objective...............: -6.9575891027062416e+07 -1.5260831598588691e+09\n", - "Dual infeasibility......: 7.8854069107681113e-11 1.7295914601334059e-09\n", - "Constraint violation....: 1.1641532182693481e-10 4.6566128730773926e-10\n", - "Variable bound violation: 9.3490332660813719e-09 9.3490332660813719e-09\n", - "Complementarity.........: 1.6654908733340153e-07 3.6531010054978156e-06\n", - "Overall NLP error.......: 1.6654908733340153e-07 3.6531010054978156e-06\n", + "Objective...............: -7.6077545312940478e+07 -1.3496765158878143e+09\n", + "Dual infeasibility......: 1.0174269859986627e-12 1.8049968673205070e-11\n", + "Constraint violation....: 1.1641532182693481e-10 6.3850835729795108e-10\n", + "Complementarity.........: 9.1280229417226649e-08 1.6193842940451343e-06\n", + "Overall NLP error.......: 9.1280229417226649e-08 1.6193842940451343e-06\n", "\n", "\n", - "Number of objective function evaluations = 210\n", - "Number of objective gradient evaluations = 210\n", - "Number of equality constraint evaluations = 210\n", - "Number of inequality constraint evaluations = 210\n", - "Number of equality constraint Jacobian evaluations = 210\n", - "Number of inequality constraint Jacobian evaluations = 210\n", - "Number of Lagrangian Hessian evaluations = 209\n", - "Total seconds in IPOPT = 1856.072\n", + "Number of objective function evaluations = 94\n", + "Number of objective gradient evaluations = 94\n", + "Number of equality constraint evaluations = 94\n", + "Number of inequality constraint evaluations = 94\n", + "Number of equality constraint Jacobian evaluations = 94\n", + "Number of inequality constraint Jacobian evaluations = 94\n", + "Number of Lagrangian Hessian evaluations = 93\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 117.722\n", + "Total CPU secs in NLP function evaluations = 62.141\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -1657,10 +1515,10 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 530400, 'Number of variables': 528003, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 1866.8461706638336}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 530300, 'Number of variables': 527903, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 191.63922929763794}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, - "execution_count": 13, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -1690,7 +1548,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "id": "scientific-nudist", "metadata": {}, "outputs": [], @@ -1702,34 +1560,42 @@ " np_to_grid = [m.period[t, d, y].fs.np_power_split.split_fraction[\"np_to_grid\", 0].value \n", " for t in set_time]\n", " # Hydrogen production rate in the PEM electrolyzer (convert it to kg/hr)\n", - " h2_production = [m.period[t, d, y].fs.pem.outlet.flow_mol[0].value * 2.016e-3 * 3600\n", + " h2_production = [m.period[t, d, y].fs.pem.outlet.flow_mol[0].value * 2.013e-3 * 3600\n", " for t in set_time]\n", " # Hydrogen flowrate to pipeline (convert it to kg/hr)\n", - " h2_to_pipeline = [m.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0].value * 2.016e-3 * 3600\n", + " h2_to_pipeline = [m.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0].value * 2.013e-3 * 3600\n", " for t in set_time]\n", " # Hydrogen flowrate to turbine (convert it to kg/hr)\n", - " h2_to_turbine = [m.period[t, d, y].fs.h2_tank.outlet_to_turbine.flow_mol[0].value * 2.016e-3 * 3600\n", + " h2_to_turbine = [m.period[t, d, y].fs.h2_tank.outlet_to_turbine.flow_mol[0].value * 2.013e-3 * 3600\n", " for t in set_time]\n", " \n", " # Plot the results\n", - " plot_lmp_and_schedule(lmp=LMP,\n", - " schedule={\"power_to_grid\": np_to_grid,\n", - " \"h2_production\": h2_production,\n", - " \"h2_to_pipeline\": h2_to_pipeline,\n", - " \"h2_to_turbine\": h2_to_turbine},\n", - " y_label={\"power_to_grid\": \"Split fraction to grid [-]\",\n", - " \"h2_production\": \"Hydrogen production (kg/hr)\",\n", - " \"h2_to_pipeline\": \"Hydrogen to pipeline (kg/hr)\",\n", - " \"h2_to_turbine\": \"Hydrogen to turbine (kg/hr)\"},\n", - " y_range={\"power_to_grid\": (0.5, 1.02),\n", - " \"h2_production\": (0, 4000),\n", - " \"h2_to_pipeline\": (0, 4000),\n", - " \"h2_to_turbine\": (-0.5, 10)})" + " if hasattr(m, \"plot_lmp_and_schedule\"):\n", + " plot_lmp_and_schedule = m.plot_lmp_and_schedule\n", + " \n", + " else:\n", + " plot_lmp_and_schedule = m.parent_block().plot_lmp_and_schedule\n", + " \n", + " plot_lmp_and_schedule(\n", + " lmp=LMP,\n", + " schedule={\"power_to_grid\": np_to_grid,\n", + " \"h2_production\": h2_production,\n", + " \"h2_to_pipeline\": h2_to_pipeline,\n", + " \"h2_to_turbine\": h2_to_turbine},\n", + " y_label={\"power_to_grid\": \"Split fraction to grid [-]\",\n", + " \"h2_production\": \"Hydrogen production (kg/hr)\",\n", + " \"h2_to_pipeline\": \"Hydrogen to pipeline (kg/hr)\",\n", + " \"h2_to_turbine\": \"Hydrogen to turbine (kg/hr)\"},\n", + " y_range={\"power_to_grid\": (0.5, 1.02),\n", + " \"h2_production\": (0, 4000),\n", + " \"h2_to_pipeline\": (0, 4000),\n", + " \"h2_to_turbine\": (-0.5, 10)},\n", + " )" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "id": "disabled-invitation", "metadata": {}, "outputs": [ @@ -1737,15 +1603,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "Optimal PEM capacity : 196.26160220264526 MW\n", - "Optimal tank capacity : 0.01451633474125722 kg\n", - "Optimal turbine capacity: 9.076527250442872e-05 MW\n", - "NPV : 1.5260831598588753 $B\n" + "Optimal PEM capacity : 196.26160220413124 MW\n", + "Optimal tank capacity : 0.021772678537911462 kg\n", + "Optimal turbine capacity: 9.076318814279689e-05 MW\n", + "NPV : 1.3496765158879556 $B\n" ] }, { "data": { - "image/png": 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", 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", 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    " ] @@ -1755,14 +1621,12 @@ } ], "source": [ - "import pyomo.environ as pyo\n", - "\n", "# Print Results\n", "print(\"Optimal PEM capacity : \", m.pem_capacity.value * 1e-3, \"MW\")\n", "print(\"Optimal tank capacity : \", m.tank_capacity.value * 2.016e-3, \"kg\")\n", "print(\"Optimal turbine capacity: \", m.h2_turbine_capacity.value * 1e-6, \"MW\")\n", "\n", - "print(\"NPV :\", pyo.value( m.obj ) * 1e-9, \"$B\")\n", + "print(\"NPV :\", value( m.obj ) * 1e-9, \"$B\")\n", "\n", "# Using `generate_plots` we plot optimal operating conditions for a specific day\n", "generate_plots(m, d=4, y=2022, set_time=m.set_time, lmp=m.LMP)" @@ -1770,18 +1634,29 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "id": "brutal-sigma", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Using `generate_plots` we plot optimal operating conditions for a specific day\n", - "generate_plots(m, d=8, y=2022, set_time=m.set_time, lmp=m.LMP)\n" + "generate_plots(m, d=8, y=2022, set_time=m.set_time, lmp=m.LMP)" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 18, "id": "brilliant-prairie", "metadata": {}, "outputs": [], @@ -1807,7 +1682,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 19, "id": "previous-sending", "metadata": {}, "outputs": [ @@ -1815,87 +1690,84 @@ "name": "stdout", "output_type": "stream", "text": [ - "(88312.98 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", - "(88312.98 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", - "(88313.00 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", - "(88313.02 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", - "(88313.03 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", - "(88313.04 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", - "(88313.05 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", - "(88313.07 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", - "(88313.09 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", - "(88313.11 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", - "(88313.13 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", - "(88313.15 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", - "(88313.16 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", - "(88313.18 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", - "(88313.19 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", - "(88313.21 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", - "(88313.22 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", - "(88313.24 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", - "(88313.26 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", - "(88313.27 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", - "(88313.28 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", - "(88313.30 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", - "(88313.31 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", - "(88313.32 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", - "(88313.34 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", - "(88313.37 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", - "(88313.39 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", - "(88313.40 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", - "(88313.43 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n", - "(88313.45 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", - "(88313.45 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", - "(88313.46 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", - "(88313.48 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", - "(88313.51 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", - "(88313.53 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", - "(88313.55 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", - "(88313.57 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", - "(88313.58 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", - "(88313.59 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", - "(88313.61 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", - "(88313.63 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", - "(88313.64 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", - "(88313.65 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", - "(88313.67 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", - "(88313.68 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", - "(88313.69 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", - "(88313.70 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", - "(88313.72 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", - "(88313.73 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", - "(88313.75 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", - "(88313.76 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", - "(88313.77 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", - "(88313.79 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", - "(88313.80 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", - "(88313.82 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", - "(88313.83 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", - "(88313.85 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", - "(88313.86 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n" + "(14688.41 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", + "(14688.41 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", + "(14688.45 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", + "(14688.46 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", + "(14688.48 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", + "(14688.51 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", + "(14688.53 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", + "(14688.55 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", + "(14688.57 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", + "(14688.59 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", + "(14688.61 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", + "(14688.63 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", + "(14688.65 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", + "(14688.66 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", + "(14688.69 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", + "(14688.70 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", + "(14688.73 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", + "(14688.75 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", + "(14688.76 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", + "(14688.79 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", + "(14688.81 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", + "(14688.83 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", + "(14688.85 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", + "(14688.87 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", + "(14688.90 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", + "(14688.92 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", + "(14688.94 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", + "(14688.96 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", + "(14688.98 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n", + "(14689.01 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", + "(14689.01 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", + "(14689.03 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", + "(14689.05 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", + "(14689.07 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", + "(14689.10 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", + "(14689.14 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", + "(14689.16 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", + "(14689.17 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", + "(14689.18 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", + "(14689.21 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", + "(14689.24 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", + "(14689.26 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", + "(14689.27 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", + "(14689.29 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", + "(14689.31 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", + "(14689.33 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", + "(14689.35 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", + "(14689.36 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", + "(14689.38 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", + "(14689.40 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", + "(14689.42 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", + "(14689.44 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", + "(14689.45 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", + "(14689.48 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", + "(14689.50 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", + "(14689.52 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", + "(14689.55 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", + "(14689.57 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n" ] } ], "source": [ - "# Create concrete model object\n", - "m = ConcreteModel()\n", - "\n", "# number of requested scenarios/synthetic histories\n", "num_scenarios = 2 \n", - "m.set_scenarios = range(num_scenarios)\n", + "set_scenarios = range(num_scenarios)\n", "\n", "# empty dictionaries\n", - "m.LMP = {}\n", - "m.weights_days = {} \n", + "LMP = {}\n", + "weights_days = {} \n", "\n", "# Gather the LMP data needed for the stochastic case\n", "# Notation: lmp_dataset[scenario][year][cluster/day][time/hour]\n", - "for scenario in m.set_scenarios:\n", + "for scenario in set_scenarios:\n", " # generate a new scenario\n", " synHistDict = synHistIntegration.generateSyntheticHistory(\"price\", set_years)\n", " # save data to model\n", - " m.LMP[scenario] = synHistDict['LMP']\n", - " m.weights_days[scenario] = synHistDict['weights_days']\n" + " LMP[scenario] = synHistDict['LMP']\n", + " weights_days[scenario] = synHistDict['weights_days']\n" ] }, { @@ -1918,118 +1790,79 @@ "In the objective function, $w_s$ denotes the probability associated with scenario $s$, and $\\text{NPV}_s$ stands for the net present value calculated in scenario $s$." ] }, - { - "cell_type": "code", - "execution_count": 19, - "id": "lightweight-prediction", - "metadata": {}, - "outputs": [], - "source": [ - "# Define sets\n", - "m.set_years = set_years # Set of years\n", - "m.set_days = list(m.LMP[0][set_years[0]].keys()) # e.g., twenty clusters/days per year\n", - "m.set_time = list(m.LMP[0][set_years[0]][m.set_days[0]].keys()) # e.g., twenty fours in a day\n", - "\n", - "# Define parameters\n", - "m.plant_life = plant_life # Plant lifetime: 20 years\n", - "m.tax_rate = 0.2 # Corporate tax rate: 20%\n", - "m.discount_rate = 0.08 # Discount rate: 8%\n", - "m.h2_demand = 1 # Maximum amount of hydrogen that can be sold: 1 kg/s\n", - "m.stochastic = True\n", - "\n", - "# Equal probability for all scenarios\n", - "m.weights_scenarios = {s: 1/num_scenarios for s in m.set_scenarios} " - ] - }, { "cell_type": "markdown", - "id": "talented-dietary", + "id": "c94057be", "metadata": {}, "source": [ - "Next, we call the `build_multiperiod_design` function to formulate the multi-period optimization problem. However, this time, we also set `stochastic=True`. " + "As before, we use the `MultiPeriodModel` class to formulate the stochastic multi-period optimization problem. In addition to all the arguments mentioned before, we also specify `set_scenarios`, the set of scenarios, as `[0, 1]`." ] }, { "cell_type": "code", "execution_count": 20, - "id": "returning-moderator", + "id": "15f86638", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[ 0.00] Processing input information.\n", - "[+ 0.00] Beginning the formulation of the multiperiod problem.\n", - "[+ 961.94] Completed the formulation of the multiperiod problem\n", - "2022-09-27 16:37:42 [INFO] idaes.init.fs.pem.outlet_state: Starting initialization\n", - "2022-09-27 16:37:42 [INFO] idaes.init.fs.pem.outlet_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:42 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:42 [INFO] idaes.init.fs.h2_tank.properties_in: Starting initialization\n", - "2022-09-27 16:37:43 [INFO] idaes.init.fs.h2_tank.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:43 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Starting initialization\n", - "2022-09-27 16:37:43 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:43 [INFO] idaes.init.fs.h2_tank.properties_out_turbine: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:43 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Starting initialization\n", - "2022-09-27 16:37:43 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:43 [INFO] idaes.init.fs.h2_tank.properties_out_pipeline: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:43 [INFO] idaes.init.fs.h2_tank: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:43 [INFO] idaes.init.fs.translator.properties_in: Starting initialization\n", - "2022-09-27 16:37:43 [INFO] idaes.init.fs.translator.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:43 [INFO] idaes.init.fs.translator.properties_out: Starting initialization\n", - "2022-09-27 16:37:44 [INFO] idaes.init.fs.translator.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:44 [INFO] idaes.init.fs.translator.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:44 [INFO] idaes.init.fs.translator: Initialization Complete optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:44 [INFO] idaes.init.fs.mixer.air_feed_state: Starting initialization\n", - "2022-09-27 16:37:44 [INFO] idaes.init.fs.mixer.air_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:44 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Starting initialization\n", - "2022-09-27 16:37:44 [INFO] idaes.init.fs.mixer.hydrogen_feed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:44 [INFO] idaes.init.fs.mixer.mixed_state: Starting initialization\n", - "2022-09-27 16:37:44 [INFO] idaes.init.fs.mixer.mixed_state: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:44 [INFO] idaes.init.fs.mixer.mixed_state: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:44 [INFO] idaes.init.fs.mixer: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-27 16:37:44 [INFO] idaes.init.fs.h2_turbine: Starting initialization...\n", - "2022-09-27 16:37:44 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Starting initialization\n", - "2022-09-27 16:37:45 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:45 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Starting initialization\n", - "2022-09-27 16:37:45 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:45 [INFO] idaes.init.fs.h2_turbine.compressor.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:45 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Starting initialization\n", - "2022-09-27 16:37:45 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:45 [INFO] idaes.init.fs.h2_turbine.compressor.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:45 [INFO] idaes.init.fs.h2_turbine.compressor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-27 16:37:45 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Starting initialization\n", - "2022-09-27 16:37:45 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:45 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Starting initialization\n", - "2022-09-27 16:37:46 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:46 [INFO] idaes.init.fs.h2_turbine.stoic_reactor.control_volume: Initialization Complete\n", - "2022-09-27 16:37:46 [INFO] idaes.init.fs.h2_turbine.stoic_reactor: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-27 16:37:46 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Starting initialization\n", - "2022-09-27 16:37:46 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_in: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:46 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Starting initialization\n", - "2022-09-27 16:37:46 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:46 [INFO] idaes.init.fs.h2_turbine.turbine.control_volume.properties_out: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:46 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Starting initialization\n", - "2022-09-27 16:37:46 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:46 [INFO] idaes.init.fs.h2_turbine.turbine.properties_isentropic: Property package initialization: optimal - Optimal Solution Found.\n", - "2022-09-27 16:37:47 [INFO] idaes.init.fs.h2_turbine.turbine: Initialization Complete: optimal - Optimal Solution Found\n", - "2022-09-27 16:37:47 [INFO] idaes.init.fs.h2_turbine: Initialization complete\n", - "[+ 5.18] Created an instance of the flowsheet and initialized it.\n", - "[+ 91.64] Initialized the entire multiperiod optimization model.\n", - "[+ 1.90] Unfixed the degrees of freedom from each period model.\n" + "[+ 0.00] Beginning the formulation of the multiperiod optimization problem.\n", + "[+1054.37] Completed the formulation of the multiperiod optimization problem.\n", + "2023-02-03 18:05:39 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "[+ 8.44] Created an instance of the flowsheet and initialized it.\n", + "[+ 78.87] Initialized the entire multiperiod optimization model.\n", + "[+ 2.39] Unfixed the degrees of freedom from each period model.\n" ] } ], "source": [ - "# Build initialized multiperiod model: Constraints g(u(t,d)) = 0 and h(u(t,d)) <= 0\n", - "build_multiperiod_design(m,\n", - " flowsheet=build_ne_flowsheet,\n", - " initialization=fix_dof_and_initialize,\n", - " unfix_dof=unfix_dof,\n", - " multiple_days=True,\n", - " multiyear=True,\n", - " stochastic=True,\n", - " verbose=False)" + "# Define sets\n", + "set_scenarios = list(set_scenarios)\n", + "set_years = set_years # Set of years\n", + "set_days = list(LMP[0][set_years[0]].keys()) # e.g., twenty clusters/days per year\n", + "n_time_points = len(LMP[0][set_years[0]][set_days[0]].keys()) # e.g., twenty fours in a day\n", + "\n", + "# Formulate the stochastic multiperiod optimization problem\n", + "m = MultiPeriodModel(\n", + " n_time_points=n_time_points,\n", + " set_days=set_days,\n", + " set_years=set_years,\n", + " set_scenarios=set_scenarios,\n", + " process_model_func=build_ne_flowsheet,\n", + " initialization_func=fix_dof_and_initialize,\n", + " unfix_dof_func=unfix_dof,\n", + " linking_variable_func=get_linking_variable_pairs,\n", + " flowsheet_options={\"np_capacity\": 1000},\n", + " initialization_options={\n", + " \"split_frac_grid\": 0.8,\n", + " \"tank_holdup_previous\": 0,\n", + " \"flow_mol_to_pipeline\": 10,\n", + " \"flow_mol_to_turbine\": 10,\n", + " },\n", + " use_stochastic_build=True,\n", + " outlvl=logging.WARNING,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "lightweight-prediction", + "metadata": {}, + "outputs": [], + "source": [ + "# Define parameters\n", + "m.plant_life = plant_life # Plant lifetime: 20 years\n", + "m.tax_rate = 0.2 # Corporate tax rate: 20%\n", + "m.discount_rate = 0.08 # Discount rate: 8%\n", + "m.h2_demand = 1 # Maximum amount of hydrogen that can be sold: 1 kg/s\n", + "m.LMP = LMP\n", + "m.weights_days = weights_days\n", + "\n", + "# Equal probability for all scenarios\n", + "m.weights_scenarios = {s: 1/num_scenarios for s in m.set_scenarios} " ] }, { @@ -2042,7 +1875,31 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 22, + "id": "6f4290ba", + "metadata": {}, + "outputs": [], + "source": [ + "for s in m.set_scenarios:\n", + " # Add first-stage variables to each scenario\n", + " add_capacity_variables(m.scenario[s])\n", + " \n", + " # Set initial holdup for each day (Assumed to be zero at the beginning of each day)\n", + " for y in m.set_years:\n", + " for d in m.set_days:\n", + " m.scenario[s].period[1, d, y].fs.h2_tank.tank_holdup_previous.fix(0)\n", + " \n", + " # Hydrogen demand constraint. \n", + " # Divide the RHS by the molecular mass to convert kg/s to mol/s\n", + " obj = m.scenario[s]\n", + " @obj.Constraint(m.set_time, m.set_days, m.set_years)\n", + " def hydrogen_demand_constraint(blk, t, d, y):\n", + " return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / MW_H2" + ] + }, + { + "cell_type": "code", + "execution_count": 23, "id": "elder-victoria", "metadata": {}, "outputs": [ @@ -2054,858 +1911,35 @@ "Returning a shortened schedule: 3 yrs\n", "DEBUGG amortizing cf: Cap\n", "DEBUGG amort alpha: [ 0. 0.3333 0.4445 0.1481 0.0741 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0.]\n", - "Proposed amortization schedule cannot be longer than intended project life.\n", - "Returning a shortened schedule: 3 yrs\n", - "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [ 0. 0.3333 0.4445 0.1481 0.0741 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0.]\n", - "Proposed amortization schedule cannot be longer than intended project life.\n", - "Returning a shortened schedule: 3 yrs\n", - "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [ 0. 0.3333 0.4445 0.1481 0.0741 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0.]\n", - "CashFlow INFO (run): Starting CashFlow Run ...\n", - "CashFlow INFO (run): ... Checking if all drivers present ...\n", - "CashFlow INFO (checkDrivers): ... creating evaluation sequence ...\n", - "CashFlow INFO (checkDrivers): ... evaluation sequence: ['pem|Cap', 'pem|pem_amortize_Cap', 'pem|pem_depreciate_Cap', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Cap', 'h2tank|h2tank_amortize_Cap', 'h2tank|h2tank_depreciate_Cap', 'h2turbine|Cap', 'h2turbine|h2turbine_amortize_Cap', 'h2turbine|h2turbine_depreciate_Cap', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Hourly', 'h2_market|Hourly']\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): Project Lifetime Cashflow Calculations\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): ... project length: 6 years\n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"pem\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 6\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_amortize_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_amortize_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_depreciate_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_depreciate_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"FixedOM\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Hourly\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2tank\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 6\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_amortize_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_depreciate_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2turbine\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 6\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2turbine_amortize_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2turbine_depreciate_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"FixedOM\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Hourly\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"electricity_market\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 6\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"electricity_market\" CashFlow \"Hourly\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2_market\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 6\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2_market\" CashFlow \"Hourly\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): Economic Indicator Calculations\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (FCFF): FCFF yearly (not discounted):\n", - "CashFlow INFO (FCFF): year, FCFF\n", - "CashFlow INFO (FCFF): 0: \n", - "CashFlow INFO (FCFF): 1: \n", - "CashFlow INFO (FCFF): 2: \n", - "CashFlow INFO (FCFF): 3: \n", - "CashFlow INFO (FCFF): 4: \n", - "CashFlow INFO (FCFF): 5: \n", - "CashFlow INFO (NPV): ... NPV: \n", - "Proposed amortization schedule cannot be longer than intended project life.\n", - "Returning a shortened schedule: 3 yrs\n", - "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [ 0. 0.3333 0.4445 0.1481 0.0741 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0.]\n", - "Proposed amortization schedule cannot be longer than intended project life.\n", - "Returning a shortened schedule: 3 yrs\n", - "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [ 0. 0.3333 0.4445 0.1481 0.0741 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0.]\n", - "Proposed amortization schedule cannot be longer than intended project life.\n", - "Returning a shortened schedule: 3 yrs\n", - "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [ 0. 0.3333 0.4445 0.1481 0.0741 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0.]\n", - "CashFlow INFO (run): Starting CashFlow Run ...\n", - "CashFlow INFO (run): ... Checking if all drivers present ...\n", - "CashFlow INFO (checkDrivers): ... creating evaluation sequence ...\n", - "CashFlow INFO (checkDrivers): ... evaluation sequence: ['pem|Cap', 'pem|pem_amortize_Cap', 'pem|pem_depreciate_Cap', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Cap', 'h2tank|h2tank_amortize_Cap', 'h2tank|h2tank_depreciate_Cap', 'h2turbine|Cap', 'h2turbine|h2turbine_amortize_Cap', 'h2turbine|h2turbine_depreciate_Cap', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Hourly', 'h2_market|Hourly']\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", - "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", - "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , , , \n", - "CashFlow INFO (compLife): 1 , , , \n", - "CashFlow INFO (compLife): 2 , , , \n", - "CashFlow INFO (compLife): 3 , , , \n", - "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", - "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", - "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", - "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", - "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): Project Lifetime Cashflow Calculations\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): ... project length: 6 years\n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"pem\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 6\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_amortize_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_amortize_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_depreciate_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_depreciate_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"FixedOM\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Hourly\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2tank\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 6\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_amortize_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_depreciate_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2turbine\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 6\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 1.0\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2turbine_amortize_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2turbine_depreciate_Cap\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"FixedOM\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Hourly\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"electricity_market\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 6\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"electricity_market\" CashFlow \"Hourly\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", - "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2_market\" ...\n", - "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 6\n", - "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", - "CashFlow INFO (proj comp): ... tax rate: 0.8\n", - "CashFlow INFO (proj c_fl): --------------------------------------------------\n", - "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", - "CashFlow INFO (proj comp): Project Cashflow for Component \"h2_market\" CashFlow \"Hourly\":\n", - "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", - "CashFlow INFO (proj comp): 0: \n", - "CashFlow INFO (proj comp): 1: \n", - "CashFlow INFO (proj comp): 2: \n", - "CashFlow INFO (proj comp): 3: \n", - "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): Economic Indicator Calculations\n", - "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (FCFF): FCFF yearly (not discounted):\n", - "CashFlow INFO (FCFF): year, FCFF\n", - "CashFlow INFO (FCFF): 0: \n", - "CashFlow INFO (FCFF): 1: \n", - "CashFlow INFO (FCFF): 2: \n", - "CashFlow INFO (FCFF): 3: \n", - "CashFlow INFO (FCFF): 4: \n", - "CashFlow INFO (FCFF): 5: \n", - "CashFlow INFO (NPV): ... NPV: \n" + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0.]\n" + ] + }, + { + "ename": "AttributeError", + "evalue": "'_BlockData' object has no attribute 'set_period'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_33356\\647327047.py\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 12\u001b[0m \u001b[0mtealComponentList\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 13\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcomp\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mcomponents\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 14\u001b[1;33m \u001b[0mtealComp\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mbuild_TEAL_Component\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcomp\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mm\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mscenario\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0ms\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0ms\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 15\u001b[0m \u001b[0mtealComponentList\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtealComp\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 16\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\radhakrishna\\desktop\\code_repositories\\dispatches\\dispatches\\case_studies\\nuclear_case\\TEAL_integration.py\u001b[0m in \u001b[0;36mbuild_TEAL_Component\u001b[1;34m(name, comp, mdl, scenario, scenario_ind)\u001b[0m\n\u001b[0;32m 126\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 127\u001b[0m \u001b[1;32melif\u001b[0m \u001b[0mcfName\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m'Hourly'\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 128\u001b[1;33m \u001b[0malpha\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdriver\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mgetDispatchVarFromModel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcfDict\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmdl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mscenario\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mscenario_ind\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 129\u001b[0m \u001b[0mhourly\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcreateRecurringHourly\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0malpha\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdriver\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmdl\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplant_life\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 130\u001b[0m \u001b[0mcashFlows\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhourly\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\users\\radhakrishna\\desktop\\code_repositories\\dispatches\\dispatches\\case_studies\\nuclear_case\\TEAL_integration.py\u001b[0m in \u001b[0;36mgetDispatchVarFromModel\u001b[1;34m(cfDict, mdl, scenario, scenario_ind)\u001b[0m\n\u001b[0;32m 202\u001b[0m \u001b[0mdispatch_array\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mzeros\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mn_projLife\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mn_hours_per_year\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mobject\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 203\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 204\u001b[1;33m \u001b[0mindeces\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0marray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mtuple\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mscenario\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_period\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"i,i,i\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 205\u001b[0m \u001b[0mtime_shape\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mn_years\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mn_hours_per_year\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;31m# reshaping the tuples array to match HERON dispatch\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 206\u001b[0m \u001b[0mindeces\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mindeces\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreshape\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtime_shape\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32mc:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36m__getattr__\u001b[1;34m(self, val)\u001b[0m\n\u001b[0;32m 627\u001b[0m \u001b[1;31m# Since the base classes don't support getattr, we can just\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 628\u001b[0m \u001b[1;31m# throw the \"normal\" AttributeError\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 629\u001b[1;33m raise AttributeError(\"'%s' object has no attribute '%s'\"\n\u001b[0m\u001b[0;32m 630\u001b[0m % (self.__class__.__name__, val))\n\u001b[0;32m 631\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mAttributeError\u001b[0m: '_BlockData' object has no attribute 'set_period'" ] } ], "source": [ - "tealSettings = build_econ_settings(components,\n", - " life=m.plant_life,\n", - " dr=m.discount_rate,\n", - " tax=m.tax_rate,\n", - " metrics=['NPV'])\n", + "tealSettings = build_econ_settings(\n", + " components,\n", + " life=m.plant_life,\n", + " dr=m.discount_rate,\n", + " tax=m.tax_rate,\n", + " metrics=['NPV'],\n", + ")\n", "\n", "metrics_list = []\n", "for s in m.set_scenarios:\n", - " # Build the connecting constraints\n", - " build_connecting_constraints(m.scenario[s], \n", - " set_time=m.set_time, \n", - " set_days=m.set_days,\n", - " set_years=m.set_years)\n", - "\n", " # Append cash flow expressions\n", " tealComponentList = []\n", " for name, comp in components.items():\n", @@ -2913,14 +1947,7 @@ " tealComponentList.append(tealComp)\n", "\n", " metrics = calculate_TEAL_metrics(tealSettings, tealComponentList)\n", - " metrics_list.append(metrics)\n", - " \n", - " # Hydrogen demand constraint. \n", - " # Divide the RHS by the molecular mass to convert kg/s to mol/s\n", - " obj = m.scenario[s]\n", - " @obj.Constraint(m.set_time, m.set_days, m.set_years)\n", - " def hydrogen_demand_constraint(blk, t, d, y):\n", - " return blk.period[t, d, y].fs.h2_tank.outlet_to_pipeline.flow_mol[0] <= m.h2_demand / 2.016e-3" + " metrics_list.append(metrics)" ] }, { @@ -3324,7 +2351,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3.7.12 ('raven_libraries')", + "display_name": "teal-int-test", "language": "python", "name": "python3" }, @@ -3338,11 +2365,11 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.13" + "version": "3.8.0" }, "vscode": { "interpreter": { - "hash": "6d0acf42cb0fb1bfbd1a977660e9dbc5c6cac802e2d2bc70e5030ba691b903ab" + "hash": "6c0e8164572cba95cad9fe66a50ec70e86cec7bf932427208bc75e6d83a22316" } } }, From 435f48ad713bbc6f5bba86b612ea6f356a692c26 Mon Sep 17 00:00:00 2001 From: Radhakrishna Date: Tue, 7 Feb 2023 15:04:02 -0500 Subject: [PATCH 16/29] Moved scripts to util folder --- .../multiperiod_design_pricetaker_wTEALandSynhist.ipynb | 7 +++---- .../syn_hist_integration.py} | 0 .../TEAL_integration.py => util/teal_integration.py} | 0 3 files changed, 3 insertions(+), 4 deletions(-) rename dispatches/{case_studies/nuclear_case/SynHist_integration.py => util/syn_hist_integration.py} (100%) rename dispatches/{case_studies/nuclear_case/TEAL_integration.py => util/teal_integration.py} (100%) diff --git a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb index 495f0e619..51437f78f 100644 --- a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb +++ b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb @@ -123,13 +123,12 @@ " fix_dof_and_initialize,\n", ")\n", "\n", - "from dispatches.case_studies.nuclear_case.TEAL_integration import (\n", + "from dispatches.util import (\n", " build_econ_settings,\n", " build_TEAL_Component,\n", " calculate_TEAL_metrics,\n", - ")\n", - "\n", - "from dispatches.case_studies.nuclear_case.SynHist_integration import SynHist_integration" + " SynHist_integration,\n", + ")" ] }, { diff --git a/dispatches/case_studies/nuclear_case/SynHist_integration.py b/dispatches/util/syn_hist_integration.py similarity index 100% rename from dispatches/case_studies/nuclear_case/SynHist_integration.py rename to dispatches/util/syn_hist_integration.py diff --git a/dispatches/case_studies/nuclear_case/TEAL_integration.py b/dispatches/util/teal_integration.py similarity index 100% rename from dispatches/case_studies/nuclear_case/TEAL_integration.py rename to dispatches/util/teal_integration.py From 55b5d8a66594c025656313d0637308af27457715 Mon Sep 17 00:00:00 2001 From: Radhakrishna Date: Tue, 7 Feb 2023 15:05:19 -0500 Subject: [PATCH 17/29] Adding init file --- dispatches/util/__init__.py | 22 ++++++++++++++++++++++ 1 file changed, 22 insertions(+) create mode 100644 dispatches/util/__init__.py diff --git a/dispatches/util/__init__.py b/dispatches/util/__init__.py new file mode 100644 index 000000000..43ec65e43 --- /dev/null +++ b/dispatches/util/__init__.py @@ -0,0 +1,22 @@ +################################################################################# +# DISPATCHES was produced under the DOE Design Integration and Synthesis +# Platform to Advance Tightly Coupled Hybrid Energy Systems program (DISPATCHES), +# and is copyright (c) 2022 by the software owners: The Regents of the University +# of California, through Lawrence Berkeley National Laboratory, National +# Technology & Engineering Solutions of Sandia, LLC, Alliance for Sustainable +# Energy, LLC, Battelle Energy Alliance, LLC, University of Notre Dame du Lac, et +# al. All rights reserved. +# +# Please see the files COPYRIGHT.md and LICENSE.md for full copyright and license +# information, respectively. Both files are also available online at the URL: +# "https://github.com/gmlc-dispatches/dispatches". +# +################################################################################# + + +from .teal_integration import ( + build_econ_settings, + build_TEAL_Component, + calculate_TEAL_metrics, +) +from .syn_hist_integration import SynHist_integration From ac7856aabc8b88cfbe8b573b3d4f3dfef76f77c1 Mon Sep 17 00:00:00 2001 From: "Gabriel J. Soto" Date: Tue, 28 Feb 2023 07:29:30 -0700 Subject: [PATCH 18/29] updates to ARMA generation guidelines, hopefully clearer usage of years --- ...od_design_pricetaker_wTEALandSynhist.ipynb | 3785 +++++++++++++---- dispatches/util/teal_integration.py | 127 +- 2 files changed, 3064 insertions(+), 848 deletions(-) diff --git a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb index 51437f78f..40c677cc3 100644 --- a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb +++ b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb @@ -1,6 +1,7 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", "id": "377a6d3a", "metadata": {}, @@ -38,31 +39,49 @@ "- Molar flowrate of hydrogen to the pipeline (`m.fs.h2_tank.outlet_to_pipeline.flow_mol[0]`)\n", "- Molar flowrate of hydrogen to the turbine (`m.fs.h2_tank.outlet_to_turbine.flow_mol[0]`)\n", "\n", - "which maximize the NPV.\n", + "which maximize the NPV.\n" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "640a94ae", + "metadata": {}, + "source": [ "\n", - "### RAVEN and TEAL Installation\n", - "The Tool for Economic Analysis (TEAL) Python software is a plugin for the Risk Analysis Virtual Environment (RAVEN) and developed at Idaho National Lab (INL). TEAL is aimed to contain and deploy complex economic analyses. It allows for a generic definition of cash flows, flexible options to deal with taxes, inflation, discounting, and offers capabilities to compute combined cashflows for components. It also enables the ability to compute different economic metrics: Net Present Value (NPV), Internal Rate of Return (IRR), and Profitability Index (PI). More information on TEAL can be found at https://github.com/idaholab/TEAL. \n", + "## RAVEN and TEAL Implementation\n", + "Risk Analysis Virtual Environment (RAVEN) is a Python software developed at Idaho National Laboratory (INL) for probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovery. RAVEN offers a framework and helpful tools for stochastic optimization. Of primary importance to this notebook is the training and generation of synthetic time series from a reduced order model. RAVEN currently allows a user to train an auto-regressive moving average (ARMA) model based on historic time series to generate synthetic histories representative of the training sets. \n", "\n", - "To run TEAL, first the user must build and install the RAVEN software package on their machine. Installation instructions for Mac, Linux, and Windows can be found here: https://github.com/idaholab/raven/wiki/installationMain. This will create a Python environment with all RAVEN and TEAL dependencies installed. \n", + "The Tool for Economic Analysis (TEAL) Python software is a plugin for the RAVEN, also developed at INL. TEAL is aimed to contain and deploy complex economic analyses. It allows for a generic definition of cash flows, flexible options to deal with taxes, inflation, discounting, and offers capabilities to compute combined cashflows for components. It also enables the ability to compute different economic metrics: Net Present Value (NPV), Internal Rate of Return (IRR), and Profitability Index (PI). More information on TEAL can be found at https://github.com/idaholab/TEAL. \n", "\n", - "To install TEAL, follow the instructions here: https://github.com/idaholab/raven/wiki/Plugins#registration-and-installation. \n", + "### Installation\n", + "RAVEN and TEAL are offered as pip-installable packages within the DISPATCHES framework. To install both through pip, follow the steps below in an open terminal:\n", "\n", - "Once RAVEN and TEAL are installed, the easiest way to integrate TEAL with DISPATCHES is to pip install DISPATCHES and all dependencies within the RAVEN Python environment (there will be future work in getting RAVEN installed as its own pip install-able package). First, activate the RAVEN environment (here referred to as ``raven_libraries``) and then install DISPATCHES as follows:\n", + " ```bash\n", + " # install RAVEN \n", + " cd dispatches\n", + " pip install -r requirements-dev.txt\n", + " pip install -r requirements-raven.txt\n", + " ```\n", "\n", - "```bash\n", - " # activate existing RAVEN python environment using conda\n", - " cd raven\n", - " conda activate raven_libraries\n", + "### Training an ARMA Model\n", + "To train an ARMA model three things are needed:\n", + " 1. Training data sets (in the form of CSV files)\n", + " 2. a pointer to all the data sets (also a CSV with each requisite data file as a new row)\n", + " 3. a RAVEN XML input script with requirements for the model and a pointer to the training data sets\n", "\n", - " # load raven libraries (if on Windows and using Anaconda Prompt, run 'conda install m2-base' to get sh command)\n", - " sh ./scripts/establish_conda_env.sh --load\n", + "(1) and (2) are provided in the dispatches sample-data repository. An example of (3) is found within this directory (#FIXME). To create the ARMA model, run the following steps in an open terminal:\n", "\n", - " # here, assuming that DISPATCHES and RAVEN are in same directory\n", - " cd ../dispatches \n", + " ```bash\n", + " # run RAVEN\n", + " raven_framework ARMA_train.xml\n", + " ```\n", "\n", - " # usually got an SSL certificate error, fix is to add github to trusted hosts\n", - " python -m pip install -r requirements-dev.txt --trusted-host=codeload.github.com\n", - "```\n", + "### Helpful Intermediate Classes\n", + "In addition to RAVEN and TEAL, we have added two file to help interface between DISPATCHES and the RAVEN/TEAL toolset.\n", + "These are found in the `dispatches/util` directory under:\n", + " - `syn_hist_integration.py` for RAVEN ARMA synthetic history generation\n", + " - `teal_integration.py` for TEAL cashflow generation\n", "\n", "Next, we import the required packages and functions needed for the formulation of the optimization problem." ] @@ -81,14 +100,6 @@ "text": [ "PluginFactory: No installed plugins detected.\n" ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "PySide2/__init__.py: Unable to import shiboken2 from c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\ray\\thirdparty_files, c:\\Users\\Radhakrishna\\Desktop\\code_repositories\\dispatches\\dispatches\\case_studies\\nuclear_case, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\python38.zip, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\DLLs, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test, , c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages, c:\\users\\radhakrishna\\desktop\\code_repositories\\dispatches, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\win32, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\win32\\lib, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\Pythonwin, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\IPython\\extensions, C:\\Users\\Radhakrishna\\.ipython, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\PySAM\\, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\PySAM\\\n", - 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] } ], "source": [ @@ -174,7 +185,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "2023-02-03 17:30:38 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2023-02-28 06:19:48 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", "Degrees of freedom: 0\n", "Ipopt 3.13.2: nlp_scaling_method=gradient-based\n", "tol=1e-06\n", @@ -235,7 +246,7 @@ "Number of equality constraint Jacobian evaluations = 2\n", "Number of inequality constraint Jacobian evaluations = 0\n", "Number of Lagrangian Hessian evaluations = 1\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.000\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.002\n", "Total CPU secs in NLP function evaluations = 0.000\n", "\n", "EXIT: Optimal Solution Found.\n" @@ -244,7 +255,7 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.17031359672546387}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.057614803314208984}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, "execution_count": 2, @@ -389,6 +400,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "alert-packing", "metadata": {}, @@ -412,7 +424,9 @@ "### Years Used in Demonstration\n", "Previously, we did not use the entire dataset in `lmp_signal.json`. Instead, we used the LMP signal only for the years 2022 and 2032. We assume that the plant lifetime is twenty years. We used the 2022 LMP signal for the first ten years (i.e., 2022 - 2031), and the 2032 LMP signal for the next ten years (i.e., 2032 - 2041).\n", "\n", - "Now, we use the plant lifetime and a starting year (based on available years within the ARMA model) to extract synthetic LMP histories for all corresponding years. E.g., for starting year 2020 and plant lifetime of 20 years, we generate histories for 2020 - 2040. Please note that computation time will increase with requested number of years. " + "Here, the user must specify the plant life, the specific years to sample and how many years each specific year should represent. For example, to use 2022 for 10 years and 2032 for the remaining 10 years, the user would specify: ``years_to_sample = [2022, 2032]`` and ``years_per_set = [10, 10]``. The code below checks that years per set sum up to the intended plant life. \n", + "\n", + "**NOTE**: The ARMA model will have been previously trained on a specific range of years. The provided model, for example, was trained from a dataset between 2018-2021 and then interpolated until the year 2045. The user must request years within the domain of the ARMA model. " ] }, { @@ -428,55 +442,65 @@ "output_type": "stream", "text": [ "InputData: Using param spec \"pickledROM\" to read XML node \"ROM.\n", - "(13661.99 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", - "(13662.00 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", - "(13662.50 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", - "(13662.52 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", - "(13662.53 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", - "(13662.56 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", - "(13662.58 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", - "(13662.60 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", - "(13662.63 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", - "(13662.65 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", - "(13662.68 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", - "(13662.69 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", - "(13662.71 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", - "(13662.73 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", - "(13662.74 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", - "(13662.77 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", - "(13662.78 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", - "(13662.80 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", - "(13662.83 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", - "(13662.85 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", - "(13662.88 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", - "(13662.89 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", - "(13662.91 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", - "(13662.93 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", - "(13662.96 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", - "(13662.99 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", - "(13663.02 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", - "(13663.04 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", - "(13663.06 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n" + "(393476.57 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", + "(393476.57 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", + "(393477.09 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", + "(393477.10 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", + "(393477.11 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", + "(393477.12 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", + "(393477.13 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", + "(393477.14 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", + "(393477.15 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", + "(393477.16 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", + "(393477.17 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", + "(393477.18 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", + "(393477.20 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", + "(393477.21 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", + "(393477.22 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", + "(393477.23 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", + "(393477.25 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", + "(393477.27 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", + "(393477.28 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", + "(393477.30 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", + "(393477.31 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", + "(393477.32 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", + "(393477.33 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", + "(393477.34 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", + "(393477.35 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", + "(393477.37 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", + "(393477.38 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", + "(393477.39 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", + "(393477.40 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n" ] } ], "source": [ "# Define Time sets\n", - "plant_life = 5\n", - "startYear = 2020\n", - "set_years = range(startYear, startYear + plant_life) # Set of years\n", + "plant_life = 20\n", + "years_to_sample = [2022, 2032] # make sure these years are included in the ARMA, otherwise an error will be raised\n", + "years_per_set = [10, 10] # has to be same length as `years_to_sample`\n", + "\n", + "# make sure that sampled years sum up to plant life\n", + "assert sum(years_per_set) == plant_life\n", + "project_year_map = [[y]*n for y,n in zip(years_to_sample, years_per_set)]\n", + "project_year_map = np.array(project_year_map).flatten()\n", + "\n", + "set_years = np.arange(years_to_sample[0], years_to_sample[0] + plant_life) # Set of years\n", "\n", "# location of trained ARMA model file\n", "cwd = os.getcwd()\n", - "targetFile = cwd + \"\\\\ARMA_Model\\\\arma.pk\"\n", + "targetFile = cwd + \"\\\\ARMA_Model_real\\\\output\\\\arma.pk\"\n", "synHistIntegration = SynHist_integration(targetFile) # this object used to generate histories\n", "\n", "# generate single synthetic history / sampled scenario\n", - "synHistDict = synHistIntegration.generateSyntheticHistory(\"price\", set_years)\n", + "synHistDict = synHistIntegration.generateSyntheticHistory(\"price\", years_to_sample)\n", "\n", "# LMP Signal\n", "LMP = synHistDict[\"LMP\"]\n", - "weights_days = synHistDict[\"weights_days\"]" + "weights_days = synHistDict[\"weights_days\"]\n", + "\n", + "# making sure that requested simulation years are found in ARMA model\n", + "assert [ys in LMP.keys() for ys in years_to_sample]" ] }, { @@ -659,16 +683,16 @@ "output_type": "stream", "text": [ "[+ 0.00] Beginning the formulation of the multiperiod optimization problem.\n", - "[+ 500.98] Completed the formulation of the multiperiod optimization problem.\n", - "2023-02-03 17:39:09 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "[+ 7.07] Created an instance of the flowsheet and initialized it.\n", - "[+ 38.23] Initialized the entire multiperiod optimization model.\n", - "[+ 1.16] Unfixed the degrees of freedom from each period model.\n" + "[+ 211.13] Completed the formulation of the multiperiod optimization problem.\n", + "2023-02-28 06:23:24 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "[+ 3.99] Created an instance of the flowsheet and initialized it.\n", + "[+ 27.64] Initialized the entire multiperiod optimization model.\n", + "[+ 0.62] Unfixed the degrees of freedom from each period model.\n" ] } ], "source": [ - "set_years = list(set_years) # Set of years\n", + "set_years = list(years_to_sample) # Set of unique years to simulate\n", "set_days = list(LMP[set_years[0]].keys()) # e.g., twenty clusters/days per year\n", "n_time_points = len(LMP[set_years[0]][set_days[0]].keys()) # e.g., twenty fours in a day\n", "\n", @@ -689,7 +713,7 @@ " \"flow_mol_to_turbine\": 10,\n", " },\n", " use_stochastic_build=True,\n", - " outlvl=logging.WARNING,\n", + " outlvl=logging.WARNING, \n", ")\n", "\n", "# Add first-stage variables \n", @@ -713,6 +737,7 @@ "source": [ "# Define parameters\n", "m.plant_life = plant_life # Plant lifetime: 20 years\n", + "m.project_years = project_year_map # array of years in project life, used when preparing TEAL objects\n", "m.tax_rate = 0.2 # Corporate tax rate: 20%\n", "m.discount_rate = 0.08 # Discount rate: 8%\n", "m.h2_demand = 1 # Maximum amount of hydrogen that can be sold: 1 kg/s\n", @@ -751,6 +776,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "221c93c1", "metadata": {}, @@ -769,8 +795,9 @@ "2. a **Value**: the cost per unit ($\\alpha$)\n", "3. a **Multiplier**: an extra multiplier to distinguish between +/- cash flows ($m$)\n", "\n", - "Each component must also have a Lifetime but all currently set to be the same. The TEAL-DISPATCHES integration currently does not support scaling factors. \n", - "**NOTE**: All expressions currently correspond to " + "Each component must also have a **Lifetime** but all currently set to be the same. If a lifetime is less than the project simulation time, TEAL will create a new Capex cost to represent the unit reconstruction for the year. The reconstruction is assumed to be instantenous, so resource production instantly resumes. \n", + "\n", + "The TEAL-DISPATCHES integration currently does not support scaling factors. \n" ] }, { @@ -829,7 +856,7 @@ " \"Expressions\": ['fs.h2_turbine.turbine.work_mechanical',\n", " 'fs.h2_turbine.compressor.work_mechanical'],\n", " \"Value\": 4.25e-6, # $/MWh -> $/Wh\n", - " \"Multiplier\": [1, 1], # these values come out with correct sign in expression\n", + " \"Multiplier\": [-1, -1], # these values come out with correct sign in expression\n", " },\n", " },\n", " # Electricity Market: positive Cash flows\n", @@ -848,7 +875,7 @@ " \"Lifetime\": 20,\n", " \"Hourly\":{\n", " \"Expressions\": ['fs.h2_tank.outlet_to_pipeline.flow_mol'], # this is in mol/s\n", - " \"Value\": 6.0, # this is $/kg, NOTE: this is increased from previous $3/kg\n", + " \"Value\": 3.0, # this is $/kg\n", " \"Multiplier\": [7.2576] # convert from $/kg -> $/mol and also converting mol/s to mol/hr\n", " },\n", " },\n", @@ -873,7 +900,6 @@ "outputs": [], "source": [ "# using full plant life = 20 yrs\n", - "# LMP signal only uses 2 years... need to resolve when creating recurring cash flows\n", "tealSettings = build_econ_settings(\n", " components,\n", " life=m.plant_life,\n", @@ -903,21 +929,24 @@ "name": "stdout", "output_type": "stream", "text": [ - "Proposed amortization schedule cannot be longer than intended project life.\n", - "Returning a shortened schedule: 3 yrs\n", "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [ 0. 0.3333 0.4445 0.1481 0.0741 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0.]\n", - "Proposed amortization schedule cannot be longer than intended project life.\n", - "Returning a shortened schedule: 3 yrs\n", + "DEBUGG amort alpha: [ 0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059\n", + " 0.0591 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0.\n", + " 0. 0. 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", + " 0. 0. 0.]\n", "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [ 0. 0.3333 0.4445 0.1481 0.0741 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0.]\n", - "Proposed amortization schedule cannot be longer than intended project life.\n", - "Returning a shortened schedule: 3 yrs\n", + "DEBUGG amort alpha: [ 0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059\n", + " 0.0591 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0.\n", + " 0. 0. 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", + " 0. 0. 0.]\n", "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [ 0. 0.3333 0.4445 0.1481 0.0741 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0.]\n", + "DEBUGG amort alpha: [ 0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059\n", + " 0.0591 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0.\n", + " 0. 0. 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", + " 0. 0. 0.]\n", "CashFlow INFO (run): Starting CashFlow Run ...\n", "CashFlow INFO (run): ... Checking if all drivers present ...\n", "CashFlow INFO (checkDrivers): ... creating evaluation sequence ...\n", @@ -938,6 +967,21 @@ "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", @@ -950,7 +994,22 @@ "CashFlow INFO (compLife): 2 , , , \n", "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", @@ -963,7 +1022,22 @@ "CashFlow INFO (compLife): 2 , , , \n", "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", @@ -974,6 +1048,21 @@ "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", @@ -984,7 +1073,22 @@ "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", @@ -998,6 +1102,21 @@ "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", @@ -1010,7 +1129,22 @@ "CashFlow INFO (compLife): 2 , , , \n", "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", @@ -1023,7 +1157,22 @@ "CashFlow INFO (compLife): 2 , , , \n", "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", @@ -1037,6 +1186,21 @@ "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", @@ -1049,7 +1213,22 @@ "CashFlow INFO (compLife): 2 , , , \n", "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", @@ -1062,7 +1241,22 @@ "CashFlow INFO (compLife): 2 , , , \n", "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", @@ -1073,6 +1267,21 @@ "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", @@ -1083,7 +1292,22 @@ "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", @@ -1094,7 +1318,22 @@ "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", @@ -1105,15 +1344,30 @@ "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", - "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", "CashFlow INFO (run): ==========================================================================================\n", "CashFlow INFO (run): Project Lifetime Cashflow Calculations\n", "CashFlow INFO (run): ==========================================================================================\n", - "CashFlow INFO (run): ... project length: 6 years\n", + "CashFlow INFO (run): ... project length: 21 years\n", "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"pem\" ...\n", "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 6\n", + "CashFlow INFO (proj comp): ... component end: 21\n", "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", "CashFlow INFO (proj comp): ... tax rate: 1.0\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -1125,7 +1379,22 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", "CashFlow INFO (proj comp): ... tax rate: 1.0\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -1137,7 +1406,22 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -1149,7 +1433,22 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -1162,6 +1461,21 @@ "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -1174,10 +1488,25 @@ "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2tank\" ...\n", "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 6\n", + "CashFlow INFO (proj comp): ... component end: 21\n", "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", "CashFlow INFO (proj comp): ... tax rate: 1.0\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -1189,7 +1518,22 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", "CashFlow INFO (proj comp): ... tax rate: 1.0\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -1201,7 +1545,22 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -1213,11 +1572,26 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2turbine\" ...\n", "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 6\n", + "CashFlow INFO (proj comp): ... component end: 21\n", "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", "CashFlow INFO (proj comp): ... tax rate: 1.0\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -1229,7 +1603,22 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", "CashFlow INFO (proj comp): ... tax rate: 1.0\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -1241,7 +1630,22 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -1253,7 +1657,22 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -1266,6 +1685,21 @@ "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -1278,10 +1712,25 @@ "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"electricity_market\" ...\n", "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 6\n", + "CashFlow INFO (proj comp): ... component end: 21\n", "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -1294,10 +1743,25 @@ "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2_market\" ...\n", "CashFlow INFO (proj comp): ... component start: 0\n", - "CashFlow INFO (proj comp): ... component end: 6\n", + "CashFlow INFO (proj comp): ... component end: 21\n", "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", "CashFlow INFO (proj c_fl): --------------------------------------------------\n", @@ -1310,6 +1774,21 @@ "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (run): ==========================================================================================\n", "CashFlow INFO (run): Economic Indicator Calculations\n", "CashFlow INFO (run): ==========================================================================================\n", @@ -1321,6 +1800,21 @@ "CashFlow INFO (FCFF): 3: \n", "CashFlow INFO (FCFF): 4: \n", "CashFlow INFO (FCFF): 5: \n", + "CashFlow INFO (FCFF): 6: \n", + "CashFlow INFO (FCFF): 7: \n", + "CashFlow INFO (FCFF): 8: \n", + "CashFlow INFO (FCFF): 9: \n", + "CashFlow INFO (FCFF): 10: \n", + "CashFlow INFO (FCFF): 11: \n", + "CashFlow INFO (FCFF): 12: \n", + "CashFlow INFO (FCFF): 13: \n", + "CashFlow INFO (FCFF): 14: \n", + "CashFlow INFO (FCFF): 15: \n", + "CashFlow INFO (FCFF): 16: \n", + "CashFlow INFO (FCFF): 17: \n", + "CashFlow INFO (FCFF): 18: \n", + "CashFlow INFO (FCFF): 19: \n", + "CashFlow INFO (FCFF): 20: \n", "CashFlow INFO (NPV): ... NPV: \n" ] } @@ -1369,144 +1863,203 @@ "\n", "This is Ipopt version 3.13.2, running with linear solver ma27.\n", "\n", - "Number of nonzeros in equality constraint Jacobian...: 1451700\n", - "Number of nonzeros in inequality constraint Jacobian.: 19200\n", - "Number of nonzeros in Lagrangian Hessian.............: 489600\n", + "Number of nonzeros in equality constraint Jacobian...: 580680\n", + "Number of nonzeros in inequality constraint Jacobian.: 7680\n", + "Number of nonzeros in Lagrangian Hessian.............: 195840\n", "\n", - "Total number of variables............................: 527903\n", - " variables with only lower bounds: 50303\n", - " variables with lower and upper bounds: 441600\n", + "Total number of variables............................: 211163\n", + " variables with only lower bounds: 20123\n", + " variables with lower and upper bounds: 176640\n", " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 520700\n", - "Total number of inequality constraints...............: 9600\n", + "Total number of equality constraints.................: 208280\n", + "Total number of inequality constraints...............: 3840\n", " inequality constraints with only lower bounds: 0\n", " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 9600\n", + " inequality constraints with only upper bounds: 3840\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -1.0084262e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -1.2260928e+09 1.92e+05 2.07e+04 -1.0 2.80e+06 - 3.24e-04 8.95e-01f 1\n", - " 2 -1.2544379e+09 7.50e+03 1.25e+04 -1.0 4.90e+05 - 4.56e-03 9.90e-01f 1\n", - " 3 -1.2548001e+09 1.98e+02 5.73e+02 -1.0 9.59e+03 - 1.18e-01 9.73e-01h 1\n", - " 4 -1.2548088e+09 1.19e+02 4.18e+02 -1.0 2.25e+02 - 4.23e-01 3.95e-01h 1\n", - " 5 -1.2548236e+09 6.04e+01 1.69e+03 -1.0 3.52e+02 - 5.52e-02 5.85e-01f 1\n", - " 6 -1.2548473e+09 5.22e+00 4.84e+03 -1.0 4.47e+02 - 2.76e-01 1.00e+00f 1\n", - " 7 -1.2548608e+09 3.41e-01 7.61e+02 -1.0 7.04e+02 -4.0 9.64e-03 1.00e+00f 1\n", - " 8 -1.2549547e+09 7.70e-02 7.92e+02 -1.0 8.55e+03 - 4.48e-02 6.59e-01f 1\n", - " 9 -1.2550614e+09 8.15e-04 9.95e+02 -1.0 6.78e+03 - 8.15e-02 6.56e-01f 1\n", + " 0 -4.3469995e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -5.3109827e+09 1.91e+05 2.05e+04 -1.0 2.80e+06 - 8.44e-04 8.91e-01f 1\n", + " 2 -5.4094953e+09 7.78e+03 1.22e+04 -1.0 5.00e+05 - 1.83e-03 9.90e-01f 1\n", + " 3 -5.4108505e+09 2.28e+02 5.69e+02 -1.0 9.99e+03 - 2.50e-01 9.71e-01f 1\n", + " 4 -5.4113522e+09 1.30e+02 4.14e+02 -1.0 3.32e+02 - 1.50e-01 4.22e-01f 1\n", + " 5 -5.4118454e+09 9.83e+01 1.99e+03 -1.0 7.09e+02 - 6.57e-02 3.65e-01f 1\n", + " 6 -5.4133498e+09 3.59e+01 1.96e+03 -1.0 8.46e+03 - 2.00e-03 6.21e-01f 1\n", + " 7 -5.4140889e+09 2.16e+01 9.45e+02 -1.0 2.14e+03 - 5.57e-02 3.99e-01f 1\n", + " 8 -5.4148836e+09 1.81e+01 4.79e+03 -1.0 9.17e+03 - 5.19e-02 1.60e-01f 1\n", + " 9 -5.4180881e+09 9.58e+00 1.96e+04 -1.0 8.28e+03 - 5.08e-02 4.71e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -5.4194716e+09 5.66e+00 1.84e+04 -1.0 6.66e+03 - 8.34e-02 4.10e-01f 1\n", + " 11 -5.4207192e+09 3.48e+00 2.41e+04 -1.0 6.53e+03 - 7.56e-02 3.85e-01f 1\n", + " 12 -5.4211037e+09 2.96e+00 2.27e+04 -1.0 5.77e+03 - 8.50e-02 1.50e-01f 1\n", + " 13 -5.4215908e+09 2.45e+00 2.21e+04 -1.0 6.19e+03 - 6.06e-02 1.70e-01f 1\n", + " 14 -5.4220592e+09 2.04e+00 2.10e+04 -1.0 5.67e+03 - 6.51e-02 1.68e-01f 1\n", + " 15 -5.4230452e+09 1.36e+00 2.00e+04 -1.0 5.53e+03 - 6.33e-02 3.34e-01f 1\n", + " 16 -5.4234306e+09 1.15e+00 1.82e+04 -1.0 4.77e+03 - 8.30e-02 1.57e-01f 1\n", + " 17 -5.4243003e+09 7.16e-01 1.57e+04 -1.0 5.15e+03 - 7.45e-02 3.75e-01f 1\n", + " 18 -5.4247750e+09 4.89e-01 1.40e+04 -1.0 4.70e+03 - 8.33e-02 3.17e-01f 1\n", + " 19 -5.4249399e+09 4.12e-01 1.12e+04 -1.0 3.70e+03 - 2.08e-01 1.57e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 -5.4252085e+09 3.05e-01 1.01e+04 -1.0 4.10e+03 - 1.38e-02 2.60e-01f 1\n", + " 21 -5.4253702e+09 2.46e-01 7.30e+03 -1.0 3.64e+03 - 3.44e-01 1.91e-01f 1\n", + " 22 -5.4255479e+09 2.00e-01 5.93e+03 -1.0 2.59e+03 - 8.84e-03 1.91e-01f 1\n", + " 23 -5.4260698e+09 8.53e-02 5.93e+03 -1.0 3.99e+03 - 4.27e-02 5.72e-01f 1\n", + " 24 -5.4262360e+09 6.63e-02 5.10e+03 -1.0 3.22e+03 - 1.10e-01 2.23e-01f 1\n", + " 25 -5.4264430e+09 4.99e-02 5.50e+03 -1.0 3.54e+03 - 7.13e-02 2.47e-01f 1\n", + " 26 -5.4265513e+09 4.40e-02 5.06e+03 -1.0 3.12e+03 - 9.32e-02 1.19e-01f 1\n", + " 27 -5.4266874e+09 3.81e-02 4.78e+03 -1.0 3.26e+03 - 7.35e-02 1.34e-01f 1\n", + " 28 -5.4268618e+09 3.16e-02 4.48e+03 -1.0 3.12e+03 - 7.52e-02 1.70e-01f 1\n", + " 29 -5.4270470e+09 2.58e-02 4.18e+03 -1.0 3.01e+03 - 8.42e-02 1.84e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -1.2551489e+09 3.61e-04 9.34e+03 -1.0 6.69e+03 - 1.36e-01 4.40e-01f 1\n", - " 11 -1.2552867e+09 3.56e-05 1.56e+04 -1.0 7.49e+03 - 6.12e-02 7.16e-01f 1\n", - " 12 -1.2553441e+09 2.74e-05 1.32e+04 -1.0 5.81e+03 - 1.27e-01 2.63e-01f 1\n", - " 13 -1.2554938e+09 1.72e-05 1.16e+04 -1.0 7.16e+03 - 8.38e-02 5.03e-01f 1\n", - " 14 -1.2556519e+09 1.04e-05 8.86e+03 -1.0 6.54e+03 - 1.11e-01 5.08e-01f 1\n", - " 15 -1.2557337e+09 8.05e-06 7.57e+03 -1.0 6.56e+03 - 1.09e-01 2.50e-01f 1\n", - " 16 -1.2558187e+09 6.43e-06 6.89e+03 -1.0 7.19e+03 - 8.71e-02 2.22e-01f 1\n", - " 17 -1.2559134e+09 5.09e-06 6.14e+03 -1.0 7.02e+03 - 8.50e-02 2.30e-01f 1\n", - " 18 -1.2560971e+09 3.29e-06 5.49e+03 -1.0 7.30e+03 - 8.45e-02 4.40e-01f 1\n", - " 19 -1.2562747e+09 2.08e-06 5.15e+03 -1.0 7.20e+03 - 1.06e-01 4.51e-01f 1\n", + " 30 -5.4271927e+09 2.19e-02 3.80e+03 -1.0 2.90e+03 - 9.25e-02 1.50e-01f 1\n", + " 31 -5.4273357e+09 1.87e-02 3.47e+03 -1.0 2.67e+03 - 7.90e-02 1.46e-01f 1\n", + " 32 -5.4274826e+09 1.60e-02 3.27e+03 -1.0 2.78e+03 - 8.43e-02 1.46e-01f 1\n", + " 33 -5.4276293e+09 1.37e-02 3.29e+03 -1.0 2.83e+03 - 8.53e-02 1.41e-01f 1\n", + " 34 -5.4277566e+09 1.20e-02 3.19e+03 -1.0 3.01e+03 - 8.80e-02 1.24e-01f 1\n", + " 35 -5.4279783e+09 9.44e-03 3.59e+03 -1.0 3.21e+03 - 8.15e-02 2.15e-01f 1\n", + " 36 -5.4281393e+09 7.89e-03 3.47e+03 -1.0 3.35e+03 - 1.04e-01 1.64e-01f 1\n", + " 37 -5.4284436e+09 5.38e-03 4.01e+03 -1.0 3.60e+03 - 9.81e-02 3.18e-01f 1\n", + " 38 -5.4286426e+09 4.09e-03 3.83e+03 -1.0 3.75e+03 - 1.32e-01 2.39e-01f 1\n", + " 39 -5.4289050e+09 2.71e-03 3.92e+03 -1.0 4.05e+03 - 1.27e-01 3.38e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20 -1.2563566e+09 1.70e-06 4.56e+03 -1.0 7.18e+03 - 1.05e-01 1.95e-01f 1\n", - " 21 -1.2567279e+09 8.21e-07 4.61e+03 -1.0 8.08e+03 - 8.15e-02 7.35e-01f 1\n", - " 22 -1.2568264e+09 6.86e-07 4.01e+03 -1.0 7.71e+03 - 1.30e-01 1.71e-01f 1\n", - " 23 -1.2570353e+09 5.10e-07 3.75e+03 -1.0 9.39e+03 - 7.83e-02 2.75e-01f 1\n", - " 24 -1.2573211e+09 3.55e-07 3.33e+03 -1.0 9.41e+03 - 9.41e-02 3.30e-01f 1\n", - " 25 -1.2576003e+09 2.63e-07 2.85e+03 -1.0 1.00e+04 - 9.62e-02 2.78e-01f 1\n", - " 26 -1.2578981e+09 2.02e-07 2.55e+03 -1.0 1.05e+04 - 9.18e-02 2.50e-01f 1\n", - " 27 -1.2584158e+09 1.37e-07 2.45e+03 -1.0 1.18e+04 - 8.57e-02 3.57e-01f 1\n", - " 28 -1.2588437e+09 1.06e-07 2.28e+03 -1.0 1.28e+04 - 9.65e-02 2.38e-01f 1\n", - " 29 -1.2594398e+09 7.96e-08 2.23e+03 -1.0 1.46e+04 - 8.25e-02 2.68e-01f 1\n", + " 40 -5.4290325e+09 2.20e-03 3.38e+03 -1.0 4.26e+03 - 1.56e-01 1.87e-01f 1\n", + " 41 -5.4293360e+09 1.21e-03 3.52e+03 -1.0 4.68e+03 - 1.36e-01 4.51e-01f 1\n", + " 42 -5.4295341e+09 7.70e-04 3.00e+03 -1.0 4.69e+03 - 2.03e-01 3.64e-01f 1\n", + " 43 -5.4296654e+09 5.66e-04 2.38e+03 -1.0 5.00e+03 - 2.18e-01 2.65e-01f 1\n", + " 44 -5.4297836e+09 4.27e-04 1.86e+03 -1.0 5.40e+03 - 2.23e-01 2.45e-01f 1\n", + " 45 -5.4299155e+09 3.06e-04 1.36e+03 -1.0 5.67e+03 - 2.72e-01 2.83e-01f 1\n", + " 46 -5.4300348e+09 2.24e-04 1.05e+03 -1.0 5.79e+03 - 1.99e-01 2.69e-01f 1\n", + " 47 -5.4301009e+09 1.88e-04 3.93e+03 -1.0 9.21e+04 - 6.42e-03 1.60e-01f 1\n", + " 48 -5.4302006e+09 1.36e-04 2.19e+04 -1.0 1.09e+04 - 1.02e-01 2.78e-01f 1\n", + " 49 -5.4302336e+09 1.22e-04 2.68e+04 -1.0 1.21e+05 - 2.98e-02 9.84e-02f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30 -1.2602514e+09 5.75e-08 2.09e+03 -1.0 1.63e+04 - 8.51e-02 3.01e-01f 1\n", - " 31 -1.2611517e+09 4.32e-08 1.95e+03 -1.0 1.86e+04 - 8.76e-02 2.67e-01f 1\n", - " 32 -1.2625891e+09 2.99e-08 1.94e+03 -1.0 2.21e+04 - 8.23e-02 3.38e-01f 1\n", - " 33 -1.2646343e+09 1.99e-08 1.99e+03 -1.0 2.65e+04 - 8.59e-02 3.67e-01f 1\n", - " 34 -1.2674747e+09 1.31e-08 2.01e+03 -1.0 3.35e+04 - 8.41e-02 3.70e-01f 1\n", - " 35 -1.2732275e+09 7.00e-09 2.08e+03 -1.0 4.27e+04 - 8.27e-02 5.24e-01f 1\n", - " 36 -1.2798909e+09 4.53e-09 2.01e+03 -1.0 6.30e+04 - 8.79e-02 3.78e-01f 1\n", - " 37 -1.2914328e+09 2.73e-09 1.96e+03 -1.0 9.13e+04 - 7.82e-02 4.27e-01f 1\n", - " 38 -1.3112131e+09 1.56e-09 1.88e+03 -1.0 1.35e+05 - 7.99e-02 4.61e-01f 1\n", - " 39 -1.3488134e+09 7.79e-10 1.81e+03 -1.0 1.92e+05 - 7.33e-02 5.40e-01f 1\n", + " 50 -5.4302567e+09 1.13e-04 2.53e+04 -1.0 2.72e+04 - 7.33e-02 7.82e-02f 1\n", + " 51 -5.4303058e+09 9.54e-05 3.27e+04 -1.0 1.34e+05 - 4.49e-02 1.54e-01f 1\n", + " 52 -5.4303299e+09 8.73e-05 3.18e+04 -1.0 8.96e+04 - 6.66e-02 8.52e-02f 1\n", + " 53 -5.4303705e+09 7.32e-05 3.25e+04 -1.0 7.60e+04 - 1.00e-01 1.61e-01f 1\n", + " 54 -5.4303969e+09 6.48e-05 3.13e+04 -1.0 1.26e+05 - 8.64e-02 1.15e-01f 1\n", + " 55 -5.4304227e+09 5.66e-05 2.96e+04 -1.0 2.66e+04 - 9.89e-02 1.26e-01f 1\n", + " 56 -5.4304482e+09 4.89e-05 3.03e+04 -1.0 2.40e+04 - 7.02e-02 1.35e-01f 1\n", + " 57 -5.4304752e+09 4.11e-05 2.93e+04 -1.0 1.13e+05 - 1.05e-01 1.59e-01f 1\n", + " 58 -5.4305006e+09 3.42e-05 2.87e+04 -1.0 9.87e+04 - 9.84e-02 1.69e-01f 1\n", + " 59 -5.4305278e+09 2.68e-05 3.18e+04 -1.0 1.16e+05 - 5.25e-02 2.16e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40 -1.3491904e+09 7.89e-10 1.54e+03 -1.0 1.84e+05 - 1.30e-01 7.96e-03f 1\n", - " 41 -1.3492049e+09 7.59e-10 1.33e+03 -1.0 9.96e+04 - 1.20e-01 6.24e-02f 1\n", - " 42 -1.3493280e+09 5.92e-10 1.44e+03 -1.0 1.09e+05 - 9.85e-02 6.47e-01f 1\n", - " 43 -1.3494400e+09 7.20e-10 1.26e+03 -1.0 8.54e+04 - 2.10e-01 9.46e-01f 1\n", - " 44 -1.3494625e+09 5.96e-10 9.56e+02 -1.0 8.88e+04 - 2.23e-01 4.98e-01f 1\n", - " 45 -1.3494970e+09 5.72e-10 8.28e+02 -1.0 9.39e+04 - 2.24e-01 9.80e-01f 1\n", - " 46 -1.3495185e+09 6.63e-10 6.98e+02 -1.0 9.03e+04 - 2.31e-01 1.00e+00f 1\n", - " 47 -1.3495323e+09 6.47e-10 8.26e+02 -1.0 8.34e+04 - 2.93e-01 1.00e+00f 1\n", - " 48 -1.3495402e+09 7.04e-10 2.66e+03 -1.0 8.02e+04 - 2.44e-01 1.00e+00f 1\n", - " 49 -1.3495421e+09 6.01e-10 4.21e+03 -1.0 8.73e+04 - 3.23e-01 4.85e-01f 1\n", + " 60 -5.4305412e+09 2.25e-05 3.08e+04 -1.0 7.50e+04 - 8.96e-02 1.63e-01f 1\n", + " 61 -5.4305611e+09 1.58e-05 4.84e+04 -1.0 6.01e+04 - 9.45e-02 2.94e-01f 1\n", + " 62 -5.4305711e+09 1.26e-05 4.16e+04 -1.0 7.00e+04 - 1.61e-01 2.03e-01f 1\n", + " 63 -5.4305815e+09 8.30e-06 3.03e+04 -1.0 1.62e+04 - 2.97e-01 3.43e-01f 1\n", + " 64 -5.4305922e+09 3.78e-06 3.65e+04 -1.0 1.77e+04 - 9.66e-02 5.45e-01f 1\n", + " 65 -5.4305935e+09 3.47e-06 3.17e+04 -1.0 9.70e+04 - 1.40e-01 8.04e-02f 1\n", + " 66 -5.4305957e+09 3.17e-06 2.92e+04 -1.0 9.53e+04 - 7.61e-02 8.75e-02f 1\n", + " 67 -5.4306026e+09 2.53e-06 2.54e+04 -1.0 8.04e+04 - 9.74e-02 2.00e-01f 1\n", + " 68 -5.4306056e+09 2.17e-06 2.15e+04 -1.0 6.80e+04 - 1.62e-01 1.43e-01f 1\n", + " 69 -5.4306085e+09 1.72e-06 1.76e+04 -1.0 6.46e+04 - 1.50e-01 2.09e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50 -1.3495427e+09 6.24e-10 4.31e+03 -1.0 9.42e+04 - 2.37e-01 2.60e-01f 1\n", - " 51 -1.3495430e+09 6.10e-10 9.37e+03 -1.0 1.04e+05 - 1.03e-01 1.62e-01f 1\n", - " 52 -1.3495437e+09 6.15e-10 2.61e+04 -1.0 1.01e+05 - 1.44e-01 2.96e-01f 1\n", - " 53 -1.3495449e+09 5.98e-10 2.89e+04 -1.0 9.52e+04 - 8.67e-02 2.89e-01f 1\n", - " 54 -1.3495458e+09 5.67e-10 2.63e+04 -1.0 8.49e+04 - 1.02e-01 2.24e-01f 1\n", - " 55 -1.3495465e+09 6.60e-10 1.97e+04 -1.0 7.63e+04 - 2.71e-01 1.65e-01f 1\n", - " 56 -1.3495478e+09 6.33e-10 1.46e+04 -1.0 9.34e+04 - 2.22e-01 2.99e-01f 1\n", - " 57 -1.3495489e+09 5.82e-10 1.06e+04 -1.0 1.04e+05 - 2.46e-01 2.94e-01f 1\n", - " 58 -1.3495502e+09 6.24e-10 7.17e+03 -1.0 1.00e+05 - 2.75e-01 3.54e-01f 1\n", - " 59 -1.3495518e+09 5.55e-10 5.50e+03 -1.0 8.32e+04 - 3.23e-01 6.01e-01f 1\n", + " 70 -5.4306110e+09 1.18e-06 1.31e+04 -1.0 5.41e+04 - 1.84e-01 3.14e-01f 1\n", + " 71 -5.4306120e+09 9.84e-07 1.09e+04 -1.0 5.91e+04 - 1.77e-01 1.65e-01f 1\n", + " 72 -5.4306122e+09 8.47e-07 9.50e+03 -1.0 5.11e+04 - 1.15e-01 1.39e-01f 1\n", + " 73 -5.4306140e+09 6.14e-07 7.42e+03 -1.0 4.30e+04 - 1.96e-01 2.75e-01f 1\n", + " 74 -5.4306140e+09 5.27e-07 7.30e+03 -1.0 3.81e+04 - 1.17e-01 1.42e-01f 1\n", + " 75 -5.4306125e+09 2.23e-07 1.56e+04 -1.0 3.43e+04 - 1.63e-01 5.77e-01f 1\n", + " 76 -5.4306069e+09 1.09e-07 8.25e+03 -1.0 3.01e+04 - 3.66e-01 5.12e-01f 1\n", + " 77 -5.4306041e+09 4.43e-08 7.46e+03 -1.0 3.31e+04 - 9.63e-02 5.93e-01f 1\n", + " 78 -5.4305996e+09 2.96e-08 5.28e+03 -1.0 2.75e+04 - 2.43e-01 3.33e-01f 1\n", + " 79 -5.4305873e+09 5.24e-10 6.19e+03 -1.0 1.80e+04 - 2.74e-01 1.00e+00f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60 -1.3495507e+09 5.73e-10 6.20e+03 -1.0 3.90e+04 - 1.77e-01 3.34e-01f 1\n", - " 61 -1.3495496e+09 5.54e-10 3.41e+03 -1.0 2.54e+04 - 2.83e-01 2.22e-01f 1\n", - " 62 -1.3495478e+09 6.00e-10 3.04e+03 -1.0 3.71e+04 - 1.34e-01 3.43e-01f 1\n", - " 63 -1.3495450e+09 5.73e-10 1.86e+03 -1.0 5.02e+04 - 3.61e-01 5.53e-01f 1\n", - " 64 -1.3495395e+09 6.16e-10 3.47e+02 -1.0 7.44e+04 - 6.15e-01 1.00e+00f 1\n", - " 65 -1.3495347e+09 6.97e-10 1.92e+01 -1.0 3.36e+04 - 9.62e-01 1.00e+00f 1\n", - " 66 -1.3495316e+09 6.10e-10 9.59e+00 -1.0 8.35e+03 - 9.91e-01 1.00e+00f 1\n", - " 67 -1.3495315e+09 6.73e-10 8.23e-01 -1.0 1.87e+03 - 1.00e+00 1.00e+00f 1\n", - " 68 -1.3496476e+09 6.64e-10 1.28e+01 -1.7 6.48e+04 - 1.00e+00 1.00e+00f 1\n", - " 69 -1.3496481e+09 5.63e-10 2.23e-02 -1.7 1.12e+03 - 1.00e+00 1.00e+00f 1\n", + " 80 -5.4305823e+09 2.04e-10 2.67e+03 -1.0 1.48e+04 - 4.44e-01 6.26e-01f 1\n", + " 81 -5.4305765e+09 1.16e-10 1.26e+03 -1.0 1.98e+04 - 4.42e-01 8.47e-01f 1\n", + " 82 -5.4305706e+09 1.16e-10 2.52e+03 -1.0 1.51e+04 - 3.16e-01 1.00e+00f 1\n", + " 83 -5.4305673e+09 1.16e-10 3.84e+02 -1.0 9.45e+03 - 8.43e-01 1.00e+00f 1\n", + " 84 -5.4305652e+09 1.46e-10 1.40e+02 -1.0 5.21e+04 - 9.91e-01 1.00e+00f 1\n", + " 85 -5.4305648e+09 1.16e-10 1.12e+01 -1.0 1.92e+04 - 1.00e+00 1.00e+00f 1\n", + " 86 -5.4305648e+09 1.16e-10 9.01e-01 -1.0 3.83e+03 - 1.00e+00 1.00e+00f 1\n", + " 87 -5.4307682e+09 1.60e-10 9.16e+03 -1.7 1.22e+05 - 1.00e+00 7.85e-01f 1\n", + " 88 -5.4308254e+09 1.16e-10 4.89e+00 -1.7 3.11e+04 - 1.00e+00 1.00e+00f 1\n", + " 89 -5.4308254e+09 1.16e-10 4.94e-01 -1.7 1.78e+02 - 1.00e+00 1.00e+00f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70 -1.3496691e+09 5.71e-10 4.54e+03 -3.8 1.66e+04 - 9.74e-01 7.23e-01f 1\n", - " 71 -1.3496735e+09 6.23e-10 8.77e+03 -3.8 4.68e+03 - 1.00e+00 5.43e-01f 1\n", - " 72 -1.3496749e+09 5.21e-10 5.15e+03 -3.8 2.13e+03 - 1.00e+00 4.09e-01f 1\n", - " 73 -1.3496758e+09 6.88e-10 2.91e+03 -3.8 1.24e+03 - 8.97e-01 4.36e-01f 1\n", - " 74 -1.3496762e+09 6.36e-10 1.63e+03 -3.8 6.62e+02 - 9.82e-01 4.40e-01f 1\n", - " 75 -1.3496764e+09 6.25e-10 6.82e+02 -3.8 3.24e+02 - 1.00e+00 5.81e-01f 1\n", - " 76 -1.3496764e+09 5.89e-10 3.86e+02 -3.8 9.14e+01 - 1.00e+00 4.34e-01f 1\n", - " 77 -1.3496764e+09 5.89e-10 2.43e+02 -3.8 5.47e+01 - 5.01e-01 3.70e-01f 1\n", - " 78 -1.3496764e+09 5.68e-10 1.30e+02 -3.8 5.53e+01 - 5.72e-01 4.65e-01f 1\n", - " 79 -1.3496765e+09 5.22e-10 6.14e+01 -3.8 7.74e+01 - 6.74e-01 5.28e-01f 1\n", + " 90 -5.4308254e+09 1.16e-10 2.22e-03 -1.7 4.75e+00 - 1.00e+00 1.00e+00h 1\n", + " 91 -5.4308621e+09 2.33e-10 1.76e+04 -3.8 3.29e+04 - 1.00e+00 5.66e-01f 1\n", + " 92 -5.4308755e+09 1.16e-10 1.18e+04 -3.8 1.46e+04 - 1.00e+00 4.73e-01f 1\n", + " 93 -5.4308824e+09 1.16e-10 6.71e+03 -3.8 7.74e+03 - 1.00e+00 4.75e-01f 1\n", + " 94 -5.4308854e+09 2.33e-10 4.01e+03 -3.8 5.01e+03 - 1.47e-01 4.00e-01f 1\n", + " 95 -5.4308855e+09 2.33e-10 3.98e+03 -3.8 3.63e+03 - 2.76e-01 1.08e-02f 1\n", + " 96 -5.4308861e+09 2.33e-10 3.41e+03 -3.8 2.66e+03 - 1.44e-01 1.45e-01f 1\n", + " 97 -5.4308868e+09 2.33e-10 2.69e+03 -3.8 2.21e+03 - 1.01e-02 2.04e-01f 1\n", + " 98 -5.4308872e+09 2.33e-10 2.24e+03 -3.8 1.58e+03 - 3.60e-02 1.68e-01f 1\n", + " 99 -5.4308875e+09 2.33e-10 1.97e+03 -3.8 1.82e+03 - 2.91e-01 1.59e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80 -1.3496765e+09 5.82e-10 4.86e+00 -3.8 2.72e+01 - 5.96e-01 1.00e+00f 1\n", - " 81 -1.3496765e+09 7.07e-10 1.81e-03 -3.8 8.37e+00 - 1.00e+00 1.00e+00f 1\n", - " 82 -1.3496765e+09 6.31e-10 1.59e-05 -3.8 1.26e+00 - 1.00e+00 1.00e+00h 1\n", - " 83 -1.3496765e+09 6.32e-10 1.32e+01 -5.7 1.30e+02 - 2.43e-01 2.07e-01f 1\n", - " 84 -1.3496765e+09 6.76e-10 9.93e+01 -5.7 4.14e+01 - 5.36e-01 2.15e-01f 1\n", - " 85 -1.3496765e+09 5.57e-10 2.04e+01 -5.7 3.01e+01 - 4.58e-01 6.05e-01f 1\n", - " 86 -1.3496765e+09 5.47e-10 1.69e+01 -5.7 1.19e+01 - 5.90e-01 4.95e-01f 1\n", - " 87 -1.3496765e+09 5.74e-10 1.87e+01 -5.7 5.99e+00 - 9.29e-01 6.06e-01f 1\n", - " 88 -1.3496765e+09 5.26e-10 6.71e+00 -5.7 2.33e+00 - 1.00e+00 7.26e-01f 1\n", - " 89 -1.3496765e+09 6.07e-10 3.45e-05 -5.7 5.91e-01 - 1.00e+00 1.00e+00f 1\n", + " 100 -5.4308877e+09 3.49e-10 1.75e+03 -3.8 1.75e+03 - 1.14e-01 1.11e-01f 1\n", + " 101 -5.4308880e+09 3.49e-10 1.49e+03 -3.8 1.55e+03 - 1.70e-01 1.48e-01f 1\n", + " 102 -5.4308881e+09 3.49e-10 1.38e+03 -3.8 1.25e+03 - 1.88e-01 5.97e-02f 1\n", + " 103 -5.4308883e+09 3.49e-10 1.14e+03 -3.8 1.88e+03 - 2.33e-01 1.68e-01f 1\n", + " 104 -5.4308883e+09 3.49e-10 1.05e+03 -3.8 1.24e+03 - 5.40e-02 8.42e-02f 1\n", + " 105 -5.4308885e+09 3.49e-10 8.96e+02 -3.8 9.81e+02 - 1.33e-01 1.48e-01f 1\n", + " 106 -5.4308886e+09 3.49e-10 7.26e+02 -3.8 6.28e+02 - 1.66e-01 1.91e-01f 1\n", + " 107 -5.4308886e+09 3.49e-10 7.10e+02 -3.8 9.92e+02 - 1.92e-01 3.93e-02f 1\n", + " 108 -5.4308886e+09 4.66e-10 6.48e+02 -3.8 2.70e+02 - 7.65e-02 8.58e-02f 1\n", + " 109 -5.4308886e+09 4.66e-10 6.32e+02 -3.8 2.10e+02 - 2.59e-01 3.05e-02f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90 -1.3496765e+09 6.02e-10 5.10e-09 -5.7 4.77e-02 - 1.00e+00 1.00e+00h 1\n", - " 91 -1.3496765e+09 5.84e-10 1.30e+00 -7.0 4.73e-01 - 1.00e+00 6.98e-01f 1\n", - " 92 -1.3496765e+09 5.88e-10 2.32e-06 -7.0 1.42e-01 - 1.00e+00 1.00e+00f 1\n", - " 93 -1.3496765e+09 6.39e-10 1.02e-12 -7.0 6.35e-03 - 1.00e+00 1.00e+00h 1\n", + " 110 -5.4308887e+09 4.66e-10 5.61e+02 -3.8 1.95e+02 - 6.97e-02 1.14e-01f 1\n", + " 111 -5.4308888e+09 3.49e-10 3.45e+02 -3.8 7.42e+02 - 4.14e-02 4.03e-01f 1\n", + " 112 -5.4308888e+09 2.33e-10 3.27e+02 -3.8 2.24e+02 - 6.08e-02 3.47e-01f 1\n", + " 113 -5.4308889e+09 2.33e-10 2.98e+02 -3.8 9.62e+01 - 1.18e-01 1.68e-01f 1\n", + " 114 -5.4308889e+09 2.33e-10 2.24e+02 -3.8 7.11e+01 - 2.42e-01 1.45e-01f 1\n", + " 115 -5.4308889e+09 3.49e-10 1.72e+02 -3.8 6.46e+01 - 2.26e-01 6.15e-02f 1\n", + " 116 -5.4308889e+09 2.33e-10 1.57e+02 -3.8 6.07e+01 - 8.90e-02 3.90e-01f 1\n", + " 117 -5.4308889e+09 2.33e-10 1.13e+02 -3.8 1.59e+02 - 3.32e-01 2.53e-01f 1\n", + " 118 -5.4308889e+09 2.33e-10 5.60e+01 -3.8 4.91e+01 - 4.22e-01 6.10e-01f 1\n", + " 119 -5.4308889e+09 1.16e-10 3.10e+01 -3.8 4.73e+01 - 6.32e-01 1.00e+00f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 120 -5.4308889e+09 1.16e-10 2.25e-03 -3.8 1.27e+01 - 1.00e+00 1.00e+00f 1\n", + " 121 -5.4308889e+09 1.16e-10 7.25e-05 -3.8 2.53e+00 - 1.00e+00 1.00e+00h 1\n", + " 122 -5.4308889e+09 2.33e-10 1.81e+01 -5.7 5.27e+02 - 7.90e-02 1.09e-01f 1\n", + " 123 -5.4308889e+09 2.33e-10 6.12e+01 -5.7 4.19e+02 - 2.77e-01 7.35e-02f 1\n", + " 124 -5.4308890e+09 2.33e-10 2.76e+01 -5.7 4.54e+02 - 1.50e-02 1.45e-01f 1\n", + " 125 -5.4308890e+09 3.49e-10 3.73e+01 -5.7 2.43e+02 - 1.56e-01 8.28e-02f 1\n", + " 126 -5.4308890e+09 3.49e-10 8.70e+01 -5.7 7.59e+01 - 1.72e-01 2.01e-02f 1\n", + " 127 -5.4308890e+09 2.33e-10 3.18e+01 -5.7 7.41e+01 - 5.14e-02 1.99e-01f 1\n", + " 128 -5.4308890e+09 2.33e-10 2.48e+01 -5.7 6.21e+01 - 2.19e-01 2.19e-01f 1\n", + " 129 -5.4308890e+09 2.33e-10 2.16e+01 -5.7 5.08e+01 - 2.18e-01 2.00e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 130 -5.4308890e+09 3.49e-10 1.78e+01 -5.7 1.53e+02 - 1.58e-01 1.62e-01f 1\n", + " 131 -5.4308890e+09 3.49e-10 1.74e+01 -5.7 5.81e+01 - 3.58e-01 2.81e-01f 1\n", + " 132 -5.4308890e+09 2.33e-10 8.20e+00 -5.7 1.67e+01 - 2.57e-01 3.47e-01f 1\n", + " 133 -5.4308890e+09 2.33e-10 5.97e+00 -5.7 1.04e+01 - 3.28e-01 3.12e-01f 1\n", + " 134 -5.4308890e+09 1.16e-10 3.04e+00 -5.7 7.01e+00 - 5.30e-01 5.19e-01f 1\n", + " 135 -5.4308890e+09 2.33e-10 2.94e+00 -5.7 3.59e+00 - 4.14e-02 2.45e-01f 1\n", + " 136 -5.4308890e+09 2.33e-10 1.98e+00 -5.7 2.69e+00 - 3.70e-01 3.81e-01f 1\n", + " 137 -5.4308890e+09 2.33e-10 2.32e+00 -5.7 2.83e+00 - 2.00e-01 2.51e-01f 1\n", + " 138 -5.4308890e+09 2.33e-10 1.94e+00 -5.7 1.21e+00 - 2.28e-01 2.57e-01f 1\n", + " 139 -5.4308890e+09 2.33e-10 1.51e+00 -5.7 1.64e+00 - 5.44e-01 1.79e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 140 -5.4308890e+09 1.16e-10 1.01e+00 -5.7 7.38e-01 - 9.17e-01 6.85e-01f 1\n", + " 141 -5.4308890e+09 1.16e-10 3.98e-01 -5.7 2.51e-01 - 1.00e+00 6.69e-01f 1\n", + " 142 -5.4308890e+09 1.16e-10 3.31e-07 -5.7 7.65e-02 - 1.00e+00 1.00e+00f 1\n", + " 143 -5.4308890e+09 1.16e-10 5.26e-01 -7.0 9.66e-01 - 2.77e-01 3.99e-01f 1\n", + " 144 -5.4308890e+09 1.16e-10 1.50e+00 -7.0 1.36e+00 - 1.62e-01 5.68e-01f 1\n", + " 145 -5.4308890e+09 2.33e-10 3.14e-01 -7.0 8.54e-01 - 7.49e-01 1.48e-01f 1\n", + " 146 -5.4308890e+09 1.16e-10 3.61e-06 -7.0 4.66e-01 - 1.00e+00 1.00e+00f 1\n", + " 147 -5.4308890e+09 1.16e-10 2.48e-09 -7.0 3.35e-02 - 1.00e+00 1.00e+00h 1\n", "\n", - "Number of Iterations....: 93\n", + "Number of Iterations....: 147\n", "\n", " (scaled) (unscaled)\n", - "Objective...............: -7.6077545312940478e+07 -1.3496765158878143e+09\n", - "Dual infeasibility......: 1.0174269859986627e-12 1.8049968673205070e-11\n", - "Constraint violation....: 1.1641532182693481e-10 6.3850835729795108e-10\n", - "Complementarity.........: 9.1280229417226649e-08 1.6193842940451343e-06\n", - "Overall NLP error.......: 9.1280229417226649e-08 1.6193842940451343e-06\n", + "Objective...............: -6.6380547521861672e+07 -5.4308890322517576e+09\n", + "Dual infeasibility......: 2.4806845104783811e-09 2.0295587793994776e-07\n", + "Constraint violation....: 1.1641532182693481e-10 1.1641532182693481e-10\n", + "Complementarity.........: 9.5779257648717513e-08 7.8361287952667804e-06\n", + "Overall NLP error.......: 9.5779257648717513e-08 7.8361287952667804e-06\n", "\n", "\n", - "Number of objective function evaluations = 94\n", - "Number of objective gradient evaluations = 94\n", - "Number of equality constraint evaluations = 94\n", - "Number of inequality constraint evaluations = 94\n", - "Number of equality constraint Jacobian evaluations = 94\n", - "Number of inequality constraint Jacobian evaluations = 94\n", - "Number of Lagrangian Hessian evaluations = 93\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 117.722\n", - "Total CPU secs in NLP function evaluations = 62.141\n", + "Number of objective function evaluations = 148\n", + "Number of objective gradient evaluations = 148\n", + "Number of equality constraint evaluations = 148\n", + "Number of inequality constraint evaluations = 148\n", + "Number of equality constraint Jacobian evaluations = 148\n", + "Number of inequality constraint Jacobian evaluations = 148\n", + "Number of Lagrangian Hessian evaluations = 147\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 114.339\n", + "Total CPU secs in NLP function evaluations = 49.773\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -1514,7 +2067,7 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 530300, 'Number of variables': 527903, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 191.63922929763794}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212120, 'Number of variables': 211163, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 167.9855513572693}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, "execution_count": 14, @@ -1602,15 +2155,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "Optimal PEM capacity : 196.26160220413124 MW\n", - "Optimal tank capacity : 0.021772678537911462 kg\n", - "Optimal turbine capacity: 9.076318814279689e-05 MW\n", - "NPV : 1.3496765158879556 $B\n" + "Optimal PEM capacity : 0.0010739346609499154 MW\n", + "Optimal tank capacity : 0.023860999534817753 kg\n", + "Optimal turbine capacity: 9.077074998987037e-05 MW\n" ] }, { "data": { - "image/png": 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", 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", 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    " ] @@ -1625,8 +2177,6 @@ "print(\"Optimal tank capacity : \", m.tank_capacity.value * 2.016e-3, \"kg\")\n", "print(\"Optimal turbine capacity: \", m.h2_turbine_capacity.value * 1e-6, \"MW\")\n", "\n", - "print(\"NPV :\", value( m.obj ) * 1e-9, \"$B\")\n", - "\n", "# Using `generate_plots` we plot optimal operating conditions for a specific day\n", "generate_plots(m, d=4, y=2022, set_time=m.set_time, lmp=m.LMP)" ] @@ -1639,7 +2189,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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    " ] @@ -1689,70 +2239,70 @@ "name": "stdout", "output_type": "stream", "text": [ - "(14688.41 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", - "(14688.41 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", - "(14688.45 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", - "(14688.46 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", - "(14688.48 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", - "(14688.51 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", - "(14688.53 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", - "(14688.55 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", - "(14688.57 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", - "(14688.59 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", - "(14688.61 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", - "(14688.63 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", - "(14688.65 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", - "(14688.66 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", - "(14688.69 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", - "(14688.70 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", - "(14688.73 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", - "(14688.75 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", - "(14688.76 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", - "(14688.79 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", - "(14688.81 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", - "(14688.83 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", - "(14688.85 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", - "(14688.87 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", - "(14688.90 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", - "(14688.92 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", - "(14688.94 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", - "(14688.96 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", - "(14688.98 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n", - "(14689.01 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", - "(14689.01 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", - "(14689.03 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", - "(14689.05 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", - "(14689.07 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", - "(14689.10 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", - "(14689.14 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", - "(14689.16 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", - "(14689.17 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", - "(14689.18 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", - "(14689.21 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", - "(14689.24 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", - "(14689.26 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", - "(14689.27 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", - "(14689.29 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", - "(14689.31 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", - "(14689.33 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", - "(14689.35 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", - "(14689.36 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", - "(14689.38 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", - "(14689.40 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", - "(14689.42 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", - "(14689.44 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", - "(14689.45 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", - "(14689.48 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", - "(14689.50 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", - "(14689.52 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", - "(14689.55 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", - "(14689.57 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n" + "(393975.95 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", + "(393975.95 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", + "(393975.98 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", + "(393976.01 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", + "(393976.04 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", + "(393976.08 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", + "(393976.11 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", + "(393976.13 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", + "(393976.16 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", + "(393976.19 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", + "(393976.22 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", + "(393976.24 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", + "(393976.26 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", + "(393976.28 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", + "(393976.31 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", + "(393976.33 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", + "(393976.35 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", + "(393976.38 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", + "(393976.41 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", + "(393976.43 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", + "(393976.46 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", + "(393976.49 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", + "(393976.52 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", + "(393976.55 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", + "(393976.57 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", + "(393976.59 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", + "(393976.61 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", + "(393976.64 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", + "(393976.66 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n", + "(393976.69 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", + "(393976.69 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", + "(393976.72 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", + "(393976.75 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", + "(393976.77 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", + "(393976.79 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", + "(393976.82 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", + "(393976.86 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", + "(393976.88 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", + "(393976.91 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", + "(393976.94 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", + "(393976.96 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", + "(393976.98 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", + "(393977.00 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", + "(393977.03 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", + "(393977.05 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", + "(393977.07 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", + "(393977.09 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", + "(393977.12 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", + "(393977.14 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", + "(393977.17 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", + "(393977.20 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", + "(393977.22 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", + "(393977.25 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", + "(393977.27 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", + "(393977.30 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", + "(393977.32 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", + "(393977.34 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", + "(393977.36 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n" ] } ], "source": [ "# number of requested scenarios/synthetic histories\n", - "num_scenarios = 2 \n", + "num_scenarios = 2\n", "set_scenarios = range(num_scenarios)\n", "\n", "# empty dictionaries\n", @@ -1808,18 +2358,18 @@ "output_type": "stream", "text": [ "[+ 0.00] Beginning the formulation of the multiperiod optimization problem.\n", - "[+1054.37] Completed the formulation of the multiperiod optimization problem.\n", - "2023-02-03 18:05:39 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "[+ 8.44] Created an instance of the flowsheet and initialized it.\n", - "[+ 78.87] Initialized the entire multiperiod optimization model.\n", - "[+ 2.39] Unfixed the degrees of freedom from each period model.\n" + "[+ 701.79] Completed the formulation of the multiperiod optimization problem.\n", + "2023-02-28 06:39:55 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "[+ 4.01] Created an instance of the flowsheet and initialized it.\n", + "[+ 47.88] Initialized the entire multiperiod optimization model.\n", + "[+ 0.74] Unfixed the degrees of freedom from each period model.\n" ] } ], "source": [ "# Define sets\n", "set_scenarios = list(set_scenarios)\n", - "set_years = set_years # Set of years\n", + "set_years = list(years_to_sample) # Set of years\n", "set_days = list(LMP[0][set_years[0]].keys()) # e.g., twenty clusters/days per year\n", "n_time_points = len(LMP[0][set_years[0]][set_days[0]].keys()) # e.g., twenty fours in a day\n", "\n", @@ -1854,6 +2404,7 @@ "source": [ "# Define parameters\n", "m.plant_life = plant_life # Plant lifetime: 20 years\n", + "m.project_years = project_year_map # array of years in project life, used when preparing TEAL objects\n", "m.tax_rate = 0.2 # Corporate tax rate: 20%\n", "m.discount_rate = 0.08 # Discount rate: 8%\n", "m.h2_demand = 1 # Maximum amount of hydrogen that can be sold: 1 kg/s\n", @@ -1906,451 +2457,2193 @@ "name": "stdout", "output_type": "stream", "text": [ - "Proposed amortization schedule cannot be longer than intended project life.\n", - "Returning a shortened schedule: 3 yrs\n", "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [ 0. 0.3333 0.4445 0.1481 0.0741 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0.]\n" - ] - }, - { - "ename": "AttributeError", - "evalue": "'_BlockData' object has no attribute 'set_period'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_33356\\647327047.py\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 12\u001b[0m \u001b[0mtealComponentList\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 13\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcomp\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mcomponents\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 14\u001b[1;33m \u001b[0mtealComp\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mbuild_TEAL_Component\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcomp\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mm\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mscenario\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0ms\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0ms\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 15\u001b[0m \u001b[0mtealComponentList\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtealComp\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 16\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\users\\radhakrishna\\desktop\\code_repositories\\dispatches\\dispatches\\case_studies\\nuclear_case\\TEAL_integration.py\u001b[0m in \u001b[0;36mbuild_TEAL_Component\u001b[1;34m(name, comp, mdl, scenario, scenario_ind)\u001b[0m\n\u001b[0;32m 126\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 127\u001b[0m \u001b[1;32melif\u001b[0m \u001b[0mcfName\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m'Hourly'\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 128\u001b[1;33m \u001b[0malpha\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdriver\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mgetDispatchVarFromModel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcfDict\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmdl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mscenario\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mscenario_ind\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 129\u001b[0m \u001b[0mhourly\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcreateRecurringHourly\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0malpha\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdriver\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmdl\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplant_life\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 130\u001b[0m \u001b[0mcashFlows\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhourly\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\users\\radhakrishna\\desktop\\code_repositories\\dispatches\\dispatches\\case_studies\\nuclear_case\\TEAL_integration.py\u001b[0m in \u001b[0;36mgetDispatchVarFromModel\u001b[1;34m(cfDict, mdl, scenario, scenario_ind)\u001b[0m\n\u001b[0;32m 202\u001b[0m \u001b[0mdispatch_array\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mzeros\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mn_projLife\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mn_hours_per_year\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mobject\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 203\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 204\u001b[1;33m \u001b[0mindeces\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0marray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mtuple\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mscenario\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_period\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"i,i,i\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 205\u001b[0m \u001b[0mtime_shape\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mn_years\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mn_hours_per_year\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;31m# reshaping the tuples array to match HERON dispatch\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 206\u001b[0m \u001b[0mindeces\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mindeces\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreshape\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtime_shape\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;32mc:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\pyomo\\core\\base\\block.py\u001b[0m in \u001b[0;36m__getattr__\u001b[1;34m(self, val)\u001b[0m\n\u001b[0;32m 627\u001b[0m \u001b[1;31m# Since the base classes don't support getattr, we can just\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 628\u001b[0m \u001b[1;31m# throw the \"normal\" AttributeError\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 629\u001b[1;33m raise AttributeError(\"'%s' object has no attribute '%s'\"\n\u001b[0m\u001b[0;32m 630\u001b[0m % (self.__class__.__name__, val))\n\u001b[0;32m 631\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mAttributeError\u001b[0m: '_BlockData' object has no attribute 'set_period'" - ] - } - ], - "source": [ - "tealSettings = build_econ_settings(\n", - " components,\n", - " life=m.plant_life,\n", - " dr=m.discount_rate,\n", - " tax=m.tax_rate,\n", - " metrics=['NPV'],\n", - ")\n", - "\n", - "metrics_list = []\n", - "for s in m.set_scenarios:\n", - " # Append cash flow expressions\n", - " tealComponentList = []\n", - " for name, comp in components.items():\n", - " tealComp = build_TEAL_Component(name, comp, m, m.scenario[s], s)\n", - " tealComponentList.append(tealComp)\n", - "\n", - " metrics = calculate_TEAL_metrics(tealSettings, tealComponentList)\n", - " metrics_list.append(metrics)" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "suburban-radar", - "metadata": {}, - "outputs": [], - "source": [ - "# Add non-anticipativity constraints\n", - "m.pem_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Design PEM capacity (in kW)\")\n", - "m.tank_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Design tank capacity (in mol)\")\n", - "m.h2_turbine_capacity = Var(within=NonNegativeReals,\n", - " doc=\"Design turbine capacity (in W)\")\n", - "\n", - "@m.Constraint(m.set_scenarios)\n", - "def non_anticipativity_pem(blk, s):\n", - " return blk.pem_capacity == blk.scenario[s].pem_capacity\n", - "\n", - "@m.Constraint(m.set_scenarios)\n", - "def non_anticipativity_tank(blk, s):\n", - " return blk.tank_capacity == blk.scenario[s].tank_capacity\n", - "\n", - "@m.Constraint(m.set_scenarios)\n", - "def non_anticipativity_turbine(blk, s):\n", - " return blk.h2_turbine_capacity == blk.scenario[s].h2_turbine_capacity" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "liberal-riverside", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ipopt 3.14.7: nlp_scaling_method=gradient-based\n", - "tol=1e-06\n", - "\n", - "\n", - "******************************************************************************\n", - "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", - " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", - " For more information visit https://github.com/coin-or/Ipopt\n", - "******************************************************************************\n", - "\n", - "This is Ipopt version 3.14.7, running with linear solver MUMPS 5.5.0.\n", - "\n", - "Number of nonzeros in equality constraint Jacobian...: 2903812\n", - "Number of nonzeros in inequality constraint Jacobian.: 38400\n", - "Number of nonzeros in Lagrangian Hessian.............: 979200\n", - "\n", - "Total number of variables............................: 1056009\n", - " variables with only lower bounds: 100809\n", - " variables with lower and upper bounds: 883200\n", - " variables with only upper bounds: 0\n", - "Total number of equality constraints.................: 1041606\n", - "Total number of inequality constraints...............: 19200\n", - " inequality constraints with only lower bounds: 0\n", - " inequality constraints with lower and upper bounds: 0\n", - " inequality constraints with only upper bounds: 19200\n", - "\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -1.1439621e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -1.3911867e+09 1.91e+05 2.08e+04 -1.0 2.80e+06 - 4.88e-04 8.93e-01f 1\n", - " 2 -1.4226254e+09 7.65e+03 1.26e+04 -1.0 4.95e+05 - 3.03e-03 9.90e-01f 1\n", - " 3 -1.4229845e+09 2.17e+02 7.47e+03 -1.0 9.81e+03 - 1.69e-01 9.72e-01h 1\n", - " 4 -1.4229865e+09 1.38e+02 1.11e+04 -1.0 1.41e+03 - 1.62e-02 3.69e-01f 1\n", - " 5 -1.4229958e+09 1.30e+01 2.94e+03 -1.0 4.67e+02 - 3.92e-01 9.90e-01h 1\n", - " 6 -1.4229964e+09 8.27e-01 6.37e+03 -1.0 4.32e+01 -4.0 1.62e-01 1.00e+00f 1\n", - " 7 -1.4230076e+09 1.15e+00 5.83e+03 -1.0 2.21e+03 -4.5 5.21e-03 3.88e-01f 2\n", - " 8 -1.4230369e+09 3.65e+00 5.45e+03 -1.0 5.79e+03 -5.0 8.46e-02 3.24e-01f 2\n", - " 9 -1.4230970e+09 1.90e+00 6.81e+03 -1.0 6.31e+03 - 1.27e-01 5.93e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -1.4231474e+09 1.54e+00 1.75e+04 -1.0 8.04e+03 - 1.45e-02 6.38e-01f 1\n", - " 11 -1.4231912e+09 7.52e-02 4.38e+04 -1.0 4.51e+03 - 1.05e-01 6.79e-01f 1\n", - " 12 -1.4232594e+09 3.57e-02 1.29e+05 -1.0 6.36e+03 - 1.04e-01 6.66e-01f 1\n", - " 13 -1.4233379e+09 1.48e-02 2.91e+05 -1.0 5.80e+03 - 1.12e-01 4.98e-01f 1\n", - " 14 -1.4234815e+09 7.78e-03 5.19e+05 -1.0 6.19e+03 - 1.08e-01 4.31e-01f 1\n", - " 15 -1.4237861e+09 3.34e-03 1.27e+06 -1.0 6.11e+03 - 1.05e-01 7.56e-01f 1\n", - " 16 -1.4239146e+09 2.35e-03 1.71e+06 -1.0 5.65e+03 - 1.31e-01 3.18e-01f 1\n", - " 17 -1.4242338e+09 1.15e-03 3.24e+06 -1.0 6.39e+03 - 9.76e-02 5.98e-01f 1\n", - " 18 -1.4244034e+09 7.59e-04 3.62e+06 -1.0 5.88e+03 - 1.26e-01 3.68e-01f 1\n", - " 19 -1.4246862e+09 4.06e-04 4.45e+06 -1.0 6.41e+03 - 1.04e-01 5.31e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20 -1.4248156e+09 3.08e-04 4.17e+06 -1.0 6.14e+03 - 1.22e-01 2.58e-01f 1\n", - " 21 -1.4249636e+09 1.05e-01 3.78e+06 -1.0 6.92e+03 - 9.43e-02 2.75e-01f 1\n", - " 22 -1.4251311e+09 1.46e-01 3.41e+06 -1.0 6.76e+03 - 9.69e-02 3.19e-01f 1\n", - " 23 -1.4253820e+09 8.75e-02 3.46e+06 -1.0 7.09e+03 - 1.01e-01 4.75e-01f 1\n", - " 24 -1.4255052e+09 5.02e-02 3.10e+06 -1.0 3.20e+03 -5.4 1.77e-01 4.32e-01f 1\n", - " 25 -1.4256642e+09 4.89e-02 3.02e+06 -1.0 8.81e+03 - 7.12e-02 2.34e-01f 1\n", - " 26 -1.4258420e+09 4.53e-02 2.85e+06 -1.0 8.23e+03 - 9.27e-02 2.45e-01f 1\n", - " 27 -1.4260441e+09 4.15e-02 2.60e+06 -1.0 8.81e+03 - 8.97e-02 2.45e-01f 1\n", - " 28 -1.4262698e+09 5.68e-02 2.36e+06 -1.0 9.20e+03 - 8.98e-02 2.40e-01f 1\n", - " 29 -1.4265611e+09 1.86e-02 2.26e+06 -1.0 9.82e+03 - 8.81e-02 2.68e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30 -1.4269027e+09 2.95e-02 2.13e+06 -1.0 1.07e+04 - 9.08e-02 2.67e-01f 1\n", - " 31 -1.4272672e+09 3.12e-02 2.00e+06 -1.0 1.16e+04 - 8.96e-02 2.39e-01f 1\n", - " 32 -1.4275455e+09 1.94e-02 1.76e+06 -1.0 4.72e+03 -5.9 1.56e-01 3.81e-01f 1\n", - " 33 -1.4281819e+09 4.07e-02 1.66e+06 -1.0 1.59e+04 - 5.84e-02 2.68e-01f 1\n", - " 34 -1.4288614e+09 2.20e-02 1.51e+06 -1.0 8.47e+03 -6.4 1.30e-01 4.30e-01f 1\n", - " 35 -1.4299703e+09 5.72e-02 1.40e+06 -1.0 1.98e+04 - 7.33e-02 2.93e-01f 1\n", - " 36 -1.4316233e+09 6.87e-02 1.27e+06 -1.0 2.26e+04 - 8.74e-02 3.35e-01f 1\n", - " 37 -1.4341613e+09 5.58e-02 1.16e+06 -1.0 2.87e+04 - 8.82e-02 3.69e-01f 1\n", - " 38 -1.4381167e+09 4.28e-02 1.06e+06 -1.0 3.88e+04 - 8.44e-02 3.91e-01f 1\n", - " 39 -1.4445741e+09 3.03e-02 9.75e+05 -1.0 5.50e+04 - 8.35e-02 4.11e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40 -1.4457045e+09 7.31e-03 7.46e+05 -1.0 4.83e+03 -6.1 2.99e-01 7.36e-01f 1\n", - " 41 -1.4750315e+09 1.07e-01 7.33e+05 -1.0 1.24e+05 - 1.75e-02 7.42e-01f 1\n", - " 42 -1.5119193e+09 4.91e-02 6.78e+05 -1.0 2.14e+05 - 7.45e-02 4.53e-01f 1\n", - " 43 -1.5122883e+09 4.88e-02 5.91e+05 -1.0 1.76e+05 - 1.29e-01 5.75e-03f 1\n", - " 44 -1.5122965e+09 4.45e-02 3.24e+05 -1.0 4.05e+04 - 4.51e-01 6.65e-02f 1\n", - " 45 -1.5122969e+09 4.02e-05 1.61e+05 -1.0 5.71e+01 -3.9 5.73e-01 1.00e+00f 1\n", - " 46 -1.5123788e+09 1.62e-01 1.28e+05 -1.0 1.44e+05 - 2.05e-01 4.11e-01f 1\n", - " 47 -1.5123796e+09 6.02e-05 1.30e+03 -1.0 2.30e+01 -3.9 9.90e-01 1.00e+00f 1\n", - " 48 -1.5124183e+09 2.55e-04 1.28e+03 -1.0 5.37e+06 - 1.44e-02 1.66e-02f 1\n", - " 49 -1.5124191e+09 2.98e-06 1.29e+01 -1.0 2.31e+01 -4.0 9.90e-01 1.00e+00f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50 -1.5124240e+09 3.30e-04 2.93e+01 -1.0 5.16e+06 - 1.48e-02 1.84e-02f 1\n", - " 51 -1.5124260e+09 7.95e-04 1.38e+02 -1.0 2.23e+06 - 4.67e-02 2.39e-02f 1\n", - " 52 -1.5124268e+09 1.57e-03 3.63e+01 -1.0 4.51e+06 - 1.75e-02 3.49e-02f 1\n", - " 53 -1.5124268e+09 3.58e-07 4.05e-01 -1.0 5.53e-01 -2.3 9.97e-01 1.00e+00f 1\n", - " 54 -1.5124300e+09 7.55e-08 1.69e+06 -2.5 4.46e+00 -2.8 9.63e-01 7.89e-01f 1\n", - " 55 -1.5124317e+09 4.48e-08 1.08e+06 -2.5 1.20e+01 -3.2 6.21e-01 4.06e-01f 1\n", - " 56 -1.5124325e+09 3.92e-08 9.46e+05 -2.5 5.07e+01 -3.7 1.36e-01 1.26e-01f 1\n", - " 57 -1.5124330e+09 3.70e-08 8.93e+05 -2.5 1.62e+02 -4.2 5.90e-02 5.62e-02f 1\n", - " 58 -1.5124505e+09 5.92e-02 8.88e+05 -2.5 1.88e+06 - 5.70e-03 6.34e-03f 1\n", - " 59 -1.5124513e+09 5.40e-02 8.07e+05 -2.5 1.61e+02 -4.2 5.67e-02 8.69e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60 -1.5124594e+09 1.04e-01 8.05e+05 -2.5 1.12e+07 - 2.34e-03 4.57e-03f 1\n", - " 61 -1.5124645e+09 1.05e-01 8.03e+05 -2.5 3.72e+07 - 3.29e-03 3.19e-03f 1\n", - " 62 -1.5124723e+09 1.05e-01 8.01e+05 -2.5 2.41e+07 - 2.43e-03 5.69e-03f 1\n", - " 63 -1.5124725e+09 8.33e-02 6.86e+05 -2.5 2.83e+00 -2.5 6.43e-01 2.10e-01f 1\n", - " 64 -1.5124729e+09 1.04e-05 8.58e-03 -2.5 7.94e-01 -2.1 1.00e+00 1.00e+00f 1\n", - " 65 -1.5124731e+09 8.38e-06 1.86e+04 -3.8 4.72e+00 -2.6 2.65e-01 1.95e-01f 1\n", - " 66 -1.5124732e+09 7.55e-06 9.06e+03 -3.8 1.44e+01 -3.1 6.02e-02 9.95e-02f 1\n", - " 67 -1.5124734e+09 7.18e-06 1.75e+04 -3.8 3.89e+01 -3.5 9.63e-02 4.83e-02f 1\n", - " 68 -1.5124736e+09 6.83e-06 1.63e+04 -3.8 7.80e+01 -4.0 4.83e-02 4.98e-02f 1\n", - " 69 -1.5124758e+09 4.10e-03 1.63e+04 -3.8 1.78e+06 - 3.59e-03 8.89e-04f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70 -1.5124831e+09 8.94e-02 1.62e+04 -3.8 2.52e+06 - 2.03e-03 3.49e-03f 1\n", - " 71 -1.5124832e+09 8.70e-02 1.16e+04 -3.8 3.56e+01 -3.6 7.50e-04 2.71e-02f 1\n", - " 72 -1.5124834e+09 8.45e-02 1.09e+04 -3.8 8.32e+01 -4.1 2.59e-02 2.85e-02f 1\n", - " 73 -1.5124870e+09 8.97e-02 1.09e+04 -3.8 3.13e+06 - 2.46e-03 1.98e-03f 1\n", - " 74 -1.5124872e+09 8.70e-02 7.74e+03 -3.8 5.61e+02 -4.2 1.23e-02 3.03e-02f 1\n", - " 75 -1.5124872e+09 8.41e-02 2.32e+04 -3.8 8.23e+00 -2.8 1.36e-01 3.33e-02f 1\n", - " 76 -1.5124880e+09 8.42e-02 2.32e+04 -3.8 6.76e+06 - 2.41e-03 4.43e-04f 1\n", - " 77 -1.5124953e+09 9.08e-02 2.31e+04 -3.8 1.43e+07 - 2.11e-03 4.08e-03f 1\n", - " 78 -1.5124995e+09 9.18e-02 2.30e+04 -3.8 2.23e+07 - 4.49e-03 2.90e-03f 1\n", - " 79 -1.5124996e+09 8.92e-02 1.90e+04 -3.8 4.34e+01 -3.8 2.71e-03 2.81e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80 -1.5124996e+09 8.75e-02 2.49e+04 -3.8 1.83e+01 -3.4 6.63e-02 1.92e-02f 1\n", - " 81 -1.5124997e+09 8.42e-02 2.22e+04 -3.8 3.38e+01 -3.9 2.36e-02 3.77e-02f 1\n", - " 82 -1.5124998e+09 7.89e-02 1.75e+04 -3.8 1.64e+01 -3.5 3.56e-02 6.32e-02f 1\n", - " 83 -1.5124999e+09 7.52e-02 1.59e+04 -3.8 3.67e+01 -3.9 4.06e-02 4.70e-02f 1\n", - " 84 -1.5125034e+09 7.54e-02 1.58e+04 -3.8 5.37e+06 - 3.67e-03 2.51e-03f 1\n", - " 85 -1.5125035e+09 7.08e-02 1.84e+04 -3.8 7.40e+00 -3.1 9.25e-02 6.07e-02f 1\n", - " 86 -1.5125035e+09 6.57e-02 1.69e+04 -3.8 1.61e+01 -3.6 7.03e-02 7.22e-02f 1\n", - " 87 -1.5125035e+09 6.11e-02 2.29e+04 -3.8 7.72e+00 -3.1 1.47e-01 7.06e-02f 1\n", - " 88 -1.5125036e+09 5.93e-02 2.41e+04 -3.8 1.71e+01 -3.6 5.16e-02 2.88e-02f 1\n", - " 89 -1.5125036e+09 5.65e-02 2.34e+04 -3.8 6.83e+00 -3.2 5.43e-02 4.76e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90 -1.5125037e+09 5.07e-02 1.93e+04 -3.8 2.15e+01 -3.7 7.88e-02 1.03e-01f 1\n", - " 91 -1.5125037e+09 4.81e-02 2.20e+04 -3.8 8.80e+00 -3.3 1.07e-01 5.05e-02f 1\n", - " 92 -1.5125037e+09 4.50e-02 1.94e+04 -3.8 1.81e+01 -3.7 4.47e-02 6.44e-02f 1\n", - " 93 -1.5125037e+09 4.15e-02 1.98e+04 -3.8 7.32e+00 -3.3 1.11e-01 7.81e-02f 1\n", - " 94 -1.5125100e+09 4.19e-02 1.97e+04 -3.8 4.59e+06 - 2.18e-03 2.69e-03f 1\n", - " 95 -1.5125100e+09 3.58e-02 1.14e+04 -3.8 8.28e+00 -3.4 3.82e-02 1.47e-01f 1\n", - " 96 -1.5125101e+09 3.36e-02 1.28e+04 -3.8 2.22e+01 -3.8 1.02e-01 5.95e-02f 1\n", - " 97 -1.5125101e+09 3.03e-02 1.56e+04 -3.8 8.79e+00 -3.4 1.92e-01 9.78e-02f 1\n", - " 98 -1.5125101e+09 2.50e-02 1.55e+04 -3.8 3.39e+00 -3.0 2.53e-01 1.75e-01f 1\n", - " 99 -1.5125102e+09 2.18e-02 1.40e+04 -3.8 9.70e+00 -3.5 1.47e-01 1.29e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100 -1.5125102e+09 1.67e-02 1.04e+04 -3.8 3.75e+00 -3.0 2.22e-01 2.34e-01f 1\n", - " 101 -1.5125102e+09 1.53e-02 1.16e+04 -3.8 1.03e+01 -3.5 2.08e-01 8.55e-02f 1\n", - " 102 -1.5125103e+09 1.39e-02 1.22e+04 -3.8 2.76e+01 -4.0 2.05e-01 8.92e-02f 1\n", - " 103 -1.5125103e+09 1.27e-02 1.45e+04 -3.8 1.05e+01 -3.6 4.01e-01 8.54e-02f 1\n", - " 104 -1.5125161e+09 1.28e-02 1.45e+04 -3.8 3.97e+06 - 2.97e-04 1.07e-03f 1\n", - " 105 -1.5125162e+09 1.05e-02 1.33e+04 -3.8 1.09e+01 -3.6 4.14e-01 1.83e-01f 1\n", - " 106 -1.5125231e+09 1.06e-02 1.33e+04 -3.8 2.75e+06 - 4.97e-05 1.39e-03f 1\n", - " 107 -1.5125232e+09 9.26e-03 1.19e+04 -3.8 1.65e+01 -3.7 1.86e-01 1.25e-01f 1\n", - " 108 -1.5125232e+09 9.03e-03 1.20e+04 -3.8 3.28e+01 -4.1 1.64e-01 2.44e-02f 1\n", - " 109 -1.5125290e+09 9.09e-03 1.20e+04 -3.8 1.85e+06 - 1.70e-03 1.47e-03f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110 -1.5125332e+09 9.12e-03 1.20e+04 -3.8 1.62e+06 - 1.68e-03 1.56e-03f 1\n", - " 111 -1.5125369e+09 9.35e-03 1.19e+04 -3.8 1.15e+06 - 3.18e-03 1.99e-03f 1\n", - " 112 -1.5125369e+09 8.39e-03 1.06e+04 -3.8 6.94e+00 -3.3 5.48e-02 1.02e-01f 1\n", - " 113 -1.5125409e+09 9.38e-03 1.05e+04 -3.8 4.69e+05 - 7.21e-03 3.33e-03f 1\n", - " 114 -1.5125439e+09 1.02e-02 1.05e+04 -3.8 2.31e+05 - 2.79e-03 4.87e-03f 1\n", - " 115 -1.5125439e+09 7.78e-03 7.79e+03 -3.8 5.55e+00 -3.0 1.62e-01 2.38e-01f 1\n", - " 116 -1.5125454e+09 9.79e-03 7.77e+03 -3.8 1.58e+05 - 2.43e-03 3.69e-03f 1\n", - " 117 -1.5125455e+09 3.42e-03 2.73e+03 -3.8 2.37e+00 -2.1 6.55e-01 6.51e-01f 1\n", - " 118 -1.5125455e+09 2.75e-03 2.32e+03 -3.8 1.01e+00 -2.6 3.65e-01 1.96e-01f 1\n", - " 119 -1.5125455e+09 2.21e-03 1.81e+03 -3.8 2.87e+00 -3.1 1.07e-01 1.99e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 120 -1.5125472e+09 3.14e-02 1.80e+03 -3.8 1.28e+05 - 4.82e-03 5.88e-03f 1\n", - " 121 -1.5125472e+09 2.15e-02 1.37e+03 -3.8 9.58e-01 -2.2 6.48e-01 3.16e-01f 1\n", - " 122 -1.5125472e+09 1.28e-02 8.11e+02 -3.8 1.21e+00 -2.7 3.40e-01 4.03e-01f 1\n", - " 123 -1.5125472e+09 1.08e-02 6.93e+02 -3.8 3.43e+00 -3.2 2.76e-01 1.59e-01f 1\n", - " 124 -1.5125493e+09 2.14e-02 6.91e+02 -3.8 9.17e+04 - 2.96e-03 1.15e-02f 1\n", - " 125 -1.5125493e+09 2.14e-02 6.87e+02 -3.8 4.60e+04 - 6.44e-03 4.21e-04f 1\n", - " 126 -1.5125494e+09 1.63e-02 6.25e+02 -3.8 1.77e+01 -2.8 3.22e-01 2.40e-01f 1\n", - " 127 -1.5125494e+09 1.37e-02 4.47e+02 -3.8 3.43e+00 -3.3 2.28e-01 1.60e-01f 1\n", - " 128 -1.5125495e+09 1.37e-02 4.47e+02 -3.8 3.83e+04 - 8.75e-04 2.00e-03f 1\n", - " 129 -1.5125495e+09 9.69e-03 7.06e+02 -3.8 5.25e-01 -2.4 7.97e-01 2.91e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 130 -1.5125495e+09 7.18e-03 7.20e+02 -3.8 1.37e+00 -2.9 7.69e-01 2.59e-01f 1\n", - " 131 -1.5125501e+09 7.13e-03 7.16e+02 -3.8 3.28e+04 - 1.24e-03 8.76e-03f 1\n", - " 132 -1.5125507e+09 1.07e-02 7.09e+02 -3.8 2.91e+04 - 9.94e-03 9.80e-03f 1\n", - " 133 -1.5125507e+09 6.05e-03 1.49e+03 -3.8 4.56e+00 -2.5 1.00e+00 4.39e-01f 1\n", - " 134 -1.5125508e+09 6.16e-03 1.47e+03 -3.8 1.79e+04 - 1.23e-02 4.25e-03f 1\n", - " 135 -1.5125511e+09 6.38e-03 1.47e+03 -3.8 1.55e+04 - 3.99e-03 8.75e-03f 1\n", - " 136 -1.5125511e+09 1.17e-03 2.01e+02 -3.8 2.27e-01 -2.1 9.95e-01 8.17e-01f 1\n", - " 137 -1.5125511e+09 6.13e-04 9.84e+01 -3.8 6.01e-01 -2.6 1.00e+00 4.74e-01f 1\n", - " 138 -1.5125515e+09 9.16e-03 9.97e+01 -3.8 1.39e+04 - 2.89e-03 1.91e-02f 1\n", - " 139 -1.5125515e+09 4.91e-03 6.77e+01 -3.8 5.87e-01 -2.7 1.00e+00 4.64e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 140 -1.5125515e+09 4.71e-04 6.60e+00 -3.8 2.09e-01 -2.2 1.00e+00 9.04e-01f 1\n", - " 141 -1.5125515e+09 1.97e-04 3.93e+01 -3.8 5.33e-01 -2.7 1.00e+00 5.81e-01f 1\n", - " 142 -1.5125516e+09 1.11e-03 3.93e+01 -3.8 9.88e+03 - 1.08e-02 7.31e-03f 1\n", - " 143 -1.5125518e+09 4.55e-03 3.97e+01 -3.8 1.05e+04 - 1.80e-02 8.96e-03f 1\n", - " 144 -1.5125518e+09 4.54e-03 3.92e+01 -3.8 1.73e+04 - 5.04e-03 7.40e-03f 1\n", - " 145 -1.5125518e+09 1.89e-03 1.54e+02 -3.8 1.32e+00 -2.8 1.00e+00 5.96e-01f 1\n", - " 146 -1.5125518e+09 2.55e-06 3.10e-03 -3.8 1.88e-01 -2.4 1.00e+00 1.00e+00f 1\n", - " 147 -1.5125520e+09 4.26e-03 2.25e+01 -3.8 1.53e+04 - 9.52e-03 1.65e-02f 1\n", - " 148 -1.5125521e+09 6.85e-03 5.78e+01 -3.8 1.43e+04 - 4.45e-03 1.53e-02f 1\n", - " 149 -1.5125521e+09 5.44e-03 4.57e+01 -3.8 7.46e-01 -2.9 2.08e-01 2.06e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 150 -1.5125521e+09 2.55e-03 1.38e+01 -3.8 2.09e-01 -2.5 1.00e+00 5.32e-01f 1\n", - " 151 -1.5125522e+09 2.76e-03 1.36e+01 -3.8 1.13e+04 - 1.73e-02 5.89e-03f 1\n", - " 152 -1.5125522e+09 3.59e-03 1.36e+01 -3.8 1.50e+04 - 5.32e-03 1.31e-02f 1\n", - " 153 -1.5125522e+09 2.49e-03 3.26e+01 -3.8 7.16e-01 -3.0 1.00e+00 3.06e-01f 1\n", - " 154 -1.5125522e+09 3.79e-06 5.19e-04 -3.8 2.09e-01 -2.6 1.00e+00 1.00e+00f 1\n", - " 155 -1.5125523e+09 1.82e-06 1.65e+03 -5.7 7.12e-01 -3.1 6.31e-01 5.20e-01f 1\n", - " 156 -1.5125523e+09 3.39e-04 1.65e+03 -5.7 2.78e+04 - 4.26e-03 4.33e-03f 1\n", - " 157 -1.5125523e+09 2.33e-04 2.02e+03 -5.7 7.82e-01 -3.1 4.72e-01 3.12e-01f 1\n", - " 158 -1.5125523e+09 2.36e-04 2.01e+03 -5.7 3.63e+04 - 1.88e-03 3.40e-04f 1\n", - " 159 -1.5125524e+09 4.02e-04 2.01e+03 -5.7 3.06e+04 - 2.30e-03 2.88e-03f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 160 -1.5125524e+09 4.08e-04 2.00e+03 -5.7 4.08e+04 - 3.23e-03 8.47e-04f 1\n", - " 161 -1.5125525e+09 4.63e-04 1.99e+03 -5.7 4.44e+04 - 3.31e-03 3.30e-03f 1\n", - " 162 -1.5125525e+09 1.58e-04 1.17e+03 -5.7 2.20e-01 -1.9 7.15e-02 6.58e-01f 1\n", - " 163 -1.5125525e+09 1.09e-04 8.54e+02 -5.7 1.55e-01 -2.4 6.78e-01 3.12e-01f 1\n", - " 164 -1.5125525e+09 7.88e-05 6.27e+02 -5.7 4.51e-01 -2.9 4.63e-01 2.75e-01f 1\n", - " 165 -1.5125526e+09 1.13e-03 6.29e+02 -5.7 1.22e+05 - 4.02e-04 1.49e-03f 1\n", - " 166 -1.5125526e+09 1.12e-03 6.30e+02 -5.7 1.19e+05 - 1.75e-04 9.70e-04f 1\n", - " 167 -1.5125526e+09 9.59e-04 8.68e+02 -5.7 3.34e+01 -3.4 1.88e-02 1.53e-01f 1\n", - " 168 -1.5125527e+09 9.61e-04 8.67e+02 -5.7 1.14e+05 - 2.47e-04 1.19e-03f 1\n", - " 169 -1.5125527e+09 9.62e-04 8.67e+02 -5.7 8.46e+04 - 1.09e-03 7.62e-05f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 170 -1.5125527e+09 9.65e-04 8.66e+02 -5.7 8.56e+04 - 7.78e-04 1.36e-03f 1\n", - " 171 -1.5125528e+09 9.66e-04 8.66e+02 -5.7 7.74e+04 - 1.14e-03 3.60e-04f 1\n", - " 172 -1.5125528e+09 9.70e-04 8.64e+02 -5.7 7.61e+04 - 7.42e-04 1.81e-03f 1\n", - " 173 -1.5125528e+09 9.73e-04 8.63e+02 -5.7 5.12e+04 - 2.38e-03 1.31e-03f 1\n", - " 174 -1.5125529e+09 9.75e-04 8.62e+02 -5.7 2.27e+04 - 3.58e-03 1.10e-03f 1\n", - " 175 -1.5125529e+09 9.80e-04 8.61e+02 -5.7 1.78e+04 - 3.10e-03 2.18e-03f 1\n", - " 176 -1.5125529e+09 9.07e-04 7.97e+02 -5.7 1.82e+00 -3.2 8.36e-02 7.46e-02f 1\n", - " 177 -1.5125529e+09 9.07e-04 7.97e+02 -5.7 1.55e+04 - 9.31e-04 4.08e-05f 1\n", - " 178 -1.5125529e+09 9.15e-04 7.94e+02 -5.7 1.74e+04 - 2.04e-03 3.69e-03f 1\n", - " 179 -1.5125529e+09 9.20e-04 7.93e+02 -5.7 1.35e+04 - 3.60e-03 2.21e-03f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 180 -1.5125529e+09 9.28e-04 7.90e+02 -5.7 1.02e+04 - 4.85e-03 3.82e-03f 1\n", - " 181 -1.5125529e+09 4.29e-04 3.38e+02 -5.7 5.45e-02 -1.9 2.91e-01 5.37e-01f 1\n", - " 182 -1.5125529e+09 3.29e-04 2.70e+02 -5.7 1.56e-01 -2.4 3.62e-01 2.32e-01f 1\n", - " 183 -1.5125529e+09 3.29e-04 2.70e+02 -5.7 7.96e+03 - 4.21e-03 1.83e-04f 1\n", - " 184 -1.5125529e+09 3.24e-04 2.69e+02 -5.7 3.80e+00 -3.4 9.24e-02 1.67e-02f 1\n", - " 185 -1.5125529e+09 3.24e-04 2.69e+02 -5.7 9.20e+03 - 4.71e-04 2.43e-04f 1\n", - " 186 -1.5125530e+09 3.24e-04 2.68e+02 -5.7 8.74e+03 - 3.52e-03 1.60e-03f 1\n", - " 187 -1.5125530e+09 2.76e-04 2.28e+02 -5.7 5.18e-01 -3.0 1.35e-01 1.47e-01f 1\n", - " 188 -1.5125530e+09 2.76e-04 2.28e+02 -5.7 6.77e+03 - 2.61e-03 9.25e-04f 1\n", - " 189 -1.5125530e+09 2.76e-04 2.27e+02 -5.7 5.22e+03 - 2.18e-03 6.28e-03f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 190 -1.5125530e+09 2.53e-04 2.10e+02 -5.7 1.42e+00 -3.5 1.34e-01 8.37e-02f 1\n", - " 191 -1.5125530e+09 2.53e-04 2.09e+02 -5.7 3.17e+03 - 2.95e-03 3.77e-03f 1\n", - " 192 -1.5125530e+09 2.52e-04 2.08e+02 -5.7 2.09e+03 - 7.37e-03 3.99e-03f 1\n", - " 193 -1.5125530e+09 2.52e-04 2.07e+02 -5.7 1.38e+03 - 1.65e-02 7.13e-03f 1\n", - " 194 -1.5125530e+09 2.51e-04 2.04e+02 -5.7 6.98e+02 - 1.14e-02 1.13e-02f 1\n", - " 195 -1.5125530e+09 2.51e-04 2.03e+02 -5.7 4.54e+02 - 3.16e-02 6.86e-03f 1\n", - " 196 -1.5125530e+09 2.46e-04 1.92e+02 -5.7 2.87e+02 - 3.01e-02 5.51e-02f 1\n", - " 197 -1.5125530e+09 2.42e-04 1.83e+02 -5.7 7.60e+01 - 5.03e-02 4.46e-02f 1\n", - " 198 -1.5125530e+09 2.04e-04 1.55e+02 -5.7 1.46e-01 -2.8 1.77e-01 1.56e-01f 1\n", - " 199 -1.5125530e+09 1.97e-04 1.49e+02 -5.7 3.71e+01 - 3.15e-02 4.25e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 200 -1.5125530e+09 1.42e-04 1.36e+02 -5.7 2.32e+01 - 8.01e-02 1.05e-01f 1\n", - " 201 -1.5125530e+09 1.43e-04 1.19e+02 -5.7 7.38e+00 - 1.15e-01 1.33e-01f 1\n", - " 202 -1.5125530e+09 1.44e-04 1.11e+02 -5.7 4.86e+00 - 1.07e-01 4.95e-02f 1\n", - " 203 -1.5125530e+09 1.57e-04 9.24e+01 -5.7 4.02e+00 - 1.86e-01 1.69e-01f 1\n", - " 204 -1.5125530e+09 2.90e-04 6.52e+01 -5.7 2.63e+00 - 2.15e-01 2.86e-01f 1\n", - " 205 -1.5125530e+09 3.99e-04 5.87e+01 -5.7 1.97e+00 - 2.99e-01 1.54e-01f 1\n", - " 206 -1.5125530e+09 6.66e-04 2.50e+01 -5.7 2.02e+00 - 3.02e-01 5.02e-01f 1\n", - " 207 -1.5125530e+09 2.31e-05 2.10e+01 -5.7 3.35e-01 -3.9 8.83e-01 1.00e+00f 1\n", - " 208 -1.5125530e+09 2.08e-05 2.20e+01 -5.7 5.70e+00 - 1.82e-01 1.02e-01h 1\n", - " 209 -1.5125530e+09 5.03e-06 1.13e+01 -5.7 4.57e+00 - 2.51e-01 7.59e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 210 -1.5125530e+09 1.16e-07 1.37e+01 -5.7 2.66e+00 - 4.28e-01 9.77e-01f 1\n", - " 211 -1.5125530e+09 1.04e-07 4.18e+00 -5.7 2.04e+00 -3.5 1.00e+00 1.01e-01f 2\n", - " 212 -1.5125530e+09 1.88e-06 2.09e-01 -5.7 2.07e+00 - 5.40e-01 1.00e+00h 1\n", - " 213 -1.5125530e+09 2.65e-07 2.29e-02 -5.7 2.37e+00 - 9.05e-01 8.59e-01h 1\n", - " 214 -1.5125530e+09 5.79e-10 9.57e-11 -5.7 1.40e+00 - 1.00e+00 1.00e+00f 1\n", - " 215 -1.5125530e+09 6.41e-10 3.20e-01 -7.0 2.11e+00 - 7.02e-01 7.01e-01f 1\n", - " 216 -1.5125530e+09 5.79e-10 2.01e+01 -7.0 1.10e+00 - 1.00e+00 6.17e-01f 1\n", - " 217 -1.5125530e+09 7.26e-10 4.28e-07 -7.0 6.59e-01 - 1.00e+00 1.00e+00f 1\n", - "\n", - "Number of Iterations....: 217\n", - "\n", - " (scaled) (unscaled)\n", - "Objective...............: -1.3791807263071379e+08 -1.5125530192639432e+09\n", - "Dual infeasibility......: 4.2799067815583546e-07 4.6937908869621736e-06\n", - "Constraint violation....: 1.1641532182693481e-10 7.2564620978710082e-10\n", - "Variable bound violation: 9.3490329651068488e-09 9.3490329651068488e-09\n", - "Complementarity.........: 1.0479753338544475e-07 1.1493187405395078e-06\n", - "Overall NLP error.......: 4.2799067815583546e-07 4.6937908869621736e-06\n", - "\n", - "\n", - "Number of objective function evaluations = 227\n", - "Number of objective gradient evaluations = 218\n", - "Number of equality constraint evaluations = 227\n", - "Number of inequality constraint evaluations = 227\n", - "Number of equality constraint Jacobian evaluations = 218\n", - "Number of inequality constraint Jacobian evaluations = 218\n", - "Number of Lagrangian Hessian evaluations = 217\n", - "Total seconds in IPOPT = 3247.574\n", - "\n", - "EXIT: Optimal Solution Found.\n" - ] - }, - { - "data": { - "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 1060806, 'Number of variables': 1056009, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.14.7\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 3280.080867290497}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# pyomo expression for full metric wtih scenario weights applied\n", - "TEALMetric = sum( m.weights_scenarios[n] * scenario['NPV'] \n", - " for n, scenario in enumerate(metrics_list) )\n", - "\n", - "# Define the objective function\n", - "m.obj = Objective(expr=TEALMetric, sense=maximize)\n", - "\n", - "# Define the solver object. Using the default solver: IPOPT\n", - "solver = get_solver()\n", - "\n", - "# Solve the optimization problem0\n", - "solver.solve(m, tee=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "civil-celebration", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Optimal PEM capacity : 196.26160220383377 MW\n", - "Optimal tank capacity : 0.01451578333935298 kg\n", - "Optimal turbine capacity: 9.076526259296586e-05 MW\n" - ] - } - ], - "source": [ - "# Print Results\n", - "print(\"Optimal PEM capacity : \", m.pem_capacity.value * 1e-3, \"MW\")\n", - "print(\"Optimal tank capacity : \", m.tank_capacity.value * 2.016e-3, \"kg\")\n", - "print(\"Optimal turbine capacity: \", m.h2_turbine_capacity.value * 1e-6, \"MW\")" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "protecting-asthma", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "generate_plots(m.scenario[0], d=8, y=2022, set_time=m.set_time, lmp=m.LMP[0])" + "DEBUGG amort alpha: [ 0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059\n", + " 0.0591 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0.\n", + " 0. 0. 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", + " 0. 0. 0.]\n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [ 0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059\n", + " 0.0591 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0.\n", + " 0. 0. 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", + " 0. 0. 0.]\n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [ 0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059\n", + " 0.0591 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0.\n", + " 0. 0. 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", + " 0. 0. 0.]\n", + "CashFlow INFO (run): Starting CashFlow Run ...\n", + "CashFlow INFO (run): ... Checking if all drivers present ...\n", + "CashFlow INFO (checkDrivers): ... creating evaluation sequence ...\n", + "CashFlow INFO (checkDrivers): ... evaluation sequence: ['pem|Cap', 'pem|pem_amortize_Cap', 'pem|pem_depreciate_Cap', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Cap', 'h2tank|h2tank_amortize_Cap', 'h2tank|h2tank_depreciate_Cap', 'h2turbine|Cap', 'h2turbine|h2turbine_amortize_Cap', 'h2turbine|h2turbine_depreciate_Cap', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Hourly', 'h2_market|Hourly']\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Project Lifetime Cashflow Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): ... project length: 21 years\n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"pem\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + 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INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"FixedOM\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 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"CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_depreciate_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow 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\"h2turbine\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2turbine_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2turbine_depreciate_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO 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comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"electricity_market\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"electricity_market\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 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tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2_market\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Economic Indicator Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (FCFF): FCFF yearly (not discounted):\n", + "CashFlow INFO (FCFF): year, FCFF\n", + "CashFlow INFO (FCFF): 0: \n", + "CashFlow INFO (FCFF): 1: \n", + "CashFlow INFO (FCFF): 2: \n", + "CashFlow INFO (FCFF): 3: \n", + "CashFlow INFO (FCFF): 4: \n", + "CashFlow INFO (FCFF): 5: \n", + "CashFlow INFO (FCFF): 6: \n", + "CashFlow INFO (FCFF): 7: \n", + "CashFlow INFO (FCFF): 8: \n", + "CashFlow INFO (FCFF): 9: \n", + "CashFlow INFO (FCFF): 10: \n", + "CashFlow INFO (FCFF): 11: \n", + "CashFlow INFO (FCFF): 12: \n", + "CashFlow INFO (FCFF): 13: \n", + "CashFlow INFO (FCFF): 14: \n", + "CashFlow INFO (FCFF): 15: \n", + "CashFlow INFO (FCFF): 16: \n", + "CashFlow INFO (FCFF): 17: \n", + "CashFlow INFO (FCFF): 18: \n", + "CashFlow INFO (FCFF): 19: \n", + "CashFlow INFO (FCFF): 20: \n", + "CashFlow INFO (NPV): ... NPV: \n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [ 0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059\n", + " 0.0591 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0.\n", + " 0. 0. 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", + " 0. 0. 0.]\n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [ 0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059\n", + " 0.0591 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0.\n", + " 0. 0. 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", + " 0. 0. 0.]\n", + "DEBUGG amortizing cf: Cap\n", + "DEBUGG amort alpha: [ 0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059\n", + " 0.0591 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0.\n", + " 0. 0. 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", + " 0. 0. 0.]\n", + "CashFlow INFO (run): Starting CashFlow Run ...\n", + "CashFlow INFO (run): ... Checking if all drivers present ...\n", + "CashFlow INFO (checkDrivers): ... creating evaluation sequence ...\n", + "CashFlow INFO (checkDrivers): ... evaluation sequence: ['pem|Cap', 'pem|pem_amortize_Cap', 'pem|pem_depreciate_Cap', 'pem|FixedOM', 'pem|Hourly', 'h2tank|Cap', 'h2tank|h2tank_amortize_Cap', 'h2tank|h2tank_depreciate_Cap', 'h2turbine|Cap', 'h2turbine|h2turbine_amortize_Cap', 'h2turbine|h2turbine_depreciate_Cap', 'h2turbine|FixedOM', 'h2turbine|Hourly', 'electricity_market|Hourly', 'h2_market|Hourly']\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Component Lifetime Cashflow Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\" ...\n", + "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... scale : 1.000000000e+00\n", + "CashFlow INFO (compLife): ... mult : 1.000000000e+00\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , , , \n", + "CashFlow INFO (compLife): 1 , , , \n", + "CashFlow INFO (compLife): 2 , , , \n", + "CashFlow INFO (compLife): 3 , , , \n", + "CashFlow INFO (compLife): 4 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", + "CashFlow INFO (compLife): 6 , , , \n", + "CashFlow INFO (compLife): 7 , , , \n", + "CashFlow INFO (compLife): 8 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", + "CashFlow INFO (compLife): 11 , , , \n", + "CashFlow INFO (compLife): 12 , , , \n", + "CashFlow INFO (compLife): 13 , , , \n", + "CashFlow INFO (compLife): 14 , , , \n", + "CashFlow INFO (compLife): 15 , , , \n", + "CashFlow INFO (compLife): 16 , , , \n", + "CashFlow INFO (compLife): 17 , , , \n", + "CashFlow INFO (compLife): 18 , , , \n", + "CashFlow INFO (compLife): 19 , , , \n", + "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"electricity_market\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", + "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2_market\" CashFlow \"Hourly\" ...\n", + "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", + "CashFlow INFO (compLife): year, alpha , driver , cashflow \n", + "CashFlow INFO (compLife): 0 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 1 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 2 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 3 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 4 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 5 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 6 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 7 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 8 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 9 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 10 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 11 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 12 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 13 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 14 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 15 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 16 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 17 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 18 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 19 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 20 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (compLife): 21 , -- N/A -- , -- N/A -- , \n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Project Lifetime Cashflow Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): ... project length: 21 years\n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"pem\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"pem_depreciate_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"pem_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"FixedOM\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"FixedOM\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"pem\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2tank\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2tank_depreciate_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2turbine\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 1.0\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2turbine_amortize_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"h2turbine_amortize_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"h2turbine_depreciate_Cap\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"h2turbine_depreciate_Cap\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO 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comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2turbine\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"electricity_market\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"electricity_market\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", + "CashFlow INFO (proj comp): Computing PROJECT cash flow for Component \"h2_market\" ...\n", + "CashFlow INFO (proj comp): ... component start: 0\n", + "CashFlow INFO (proj comp): ... component end: 21\n", + "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", + "CashFlow INFO (proj comp): ... tax rate: 0.8\n", + "CashFlow INFO (proj c_fl): --------------------------------------------------\n", + "CashFlow INFO (proj c_fl): Computing PROJECT cash flow for CashFlow \"Hourly\" ...\n", + "CashFlow INFO (proj comp): Project Cashflow for Component \"h2_market\" CashFlow \"Hourly\":\n", + "CashFlow INFO (proj comp): Year, Time-Adjusted Value\n", + "CashFlow INFO (proj comp): 0: \n", + "CashFlow INFO (proj comp): 1: \n", + "CashFlow INFO (proj comp): 2: \n", + "CashFlow INFO (proj comp): 3: \n", + "CashFlow INFO (proj comp): 4: \n", + "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 6: \n", + "CashFlow INFO (proj comp): 7: \n", + "CashFlow INFO (proj comp): 8: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 11: \n", + "CashFlow INFO (proj comp): 12: \n", + "CashFlow INFO (proj comp): 13: \n", + "CashFlow INFO (proj comp): 14: \n", + "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 16: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 20: \n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (run): Economic Indicator Calculations\n", + "CashFlow INFO (run): ==========================================================================================\n", + "CashFlow INFO (FCFF): FCFF yearly (not discounted):\n", + "CashFlow INFO (FCFF): year, FCFF\n", + "CashFlow INFO (FCFF): 0: \n", + "CashFlow INFO (FCFF): 1: \n", + "CashFlow INFO (FCFF): 2: \n", + "CashFlow INFO (FCFF): 3: \n", + "CashFlow INFO (FCFF): 4: \n", + "CashFlow INFO (FCFF): 5: \n", + "CashFlow INFO (FCFF): 6: \n", + "CashFlow INFO (FCFF): 7: \n", + "CashFlow INFO (FCFF): 8: \n", + "CashFlow INFO (FCFF): 9: \n", + "CashFlow INFO (FCFF): 10: \n", + "CashFlow INFO (FCFF): 11: \n", + "CashFlow INFO (FCFF): 12: \n", + "CashFlow INFO (FCFF): 13: \n", + "CashFlow INFO (FCFF): 14: \n", + "CashFlow INFO (FCFF): 15: \n", + "CashFlow INFO (FCFF): 16: \n", + "CashFlow INFO (FCFF): 17: \n", + "CashFlow INFO (FCFF): 18: \n", + "CashFlow INFO (FCFF): 19: \n", + "CashFlow INFO (FCFF): 20: \n", + "CashFlow INFO (NPV): ... NPV: \n" + ] + } + ], + "source": [ + "tealSettings = build_econ_settings(\n", + " components,\n", + " life=m.plant_life,\n", + " dr=m.discount_rate,\n", + " tax=m.tax_rate,\n", + " metrics=['NPV'],\n", + ")\n", + "\n", + "metrics_list = []\n", + "for s in m.set_scenarios:\n", + " # Append cash flow expressions\n", + " tealComponentList = []\n", + " for name, comp in components.items():\n", + " tealComp = build_TEAL_Component(name, comp, m, m.scenario[s], s)\n", + " tealComponentList.append(tealComp)\n", + "\n", + " metrics = calculate_TEAL_metrics(tealSettings, tealComponentList)\n", + " metrics_list.append(metrics)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "suburban-radar", + "metadata": {}, + "outputs": [], + "source": [ + "# Add non-anticipativity constraints\n", + "m.pem_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Design PEM capacity (in kW)\")\n", + "m.tank_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Design tank capacity (in mol)\")\n", + "m.h2_turbine_capacity = Var(within=NonNegativeReals,\n", + " doc=\"Design turbine capacity (in W)\")\n", + "\n", + "@m.Constraint(m.set_scenarios)\n", + "def non_anticipativity_pem(blk, s):\n", + " return blk.pem_capacity == blk.scenario[s].pem_capacity\n", + "\n", + "@m.Constraint(m.set_scenarios)\n", + "def non_anticipativity_tank(blk, s):\n", + " return blk.tank_capacity == blk.scenario[s].tank_capacity\n", + "\n", + "@m.Constraint(m.set_scenarios)\n", + "def non_anticipativity_turbine(blk, s):\n", + " return blk.h2_turbine_capacity == blk.scenario[s].h2_turbine_capacity" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "liberal-riverside", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Ipopt 3.13.2: nlp_scaling_method=gradient-based\n", + "tol=1e-06\n", + "\n", + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit http://projects.coin-or.org/Ipopt\n", + "\n", + "This version of Ipopt was compiled from source code available at\n", + " https://github.com/IDAES/Ipopt as part of the Institute for the Design of\n", + " Advanced Energy Systems Process Systems Engineering Framework (IDAES PSE\n", + " Framework) Copyright (c) 2018-2019. See https://github.com/IDAES/idaes-pse.\n", + "\n", + "This version of Ipopt was compiled using HSL, a collection of Fortran codes\n", + " for large-scale scientific computation. All technical papers, sales and\n", + " publicity material resulting from use of the HSL codes within IPOPT must\n", + " contain the following acknowledgement:\n", + " HSL, a collection of Fortran codes for large-scale scientific\n", + " computation. See http://www.hsl.rl.ac.uk.\n", + "******************************************************************************\n", + "\n", + "This is Ipopt version 3.13.2, running with linear solver ma27.\n", + "\n", + "Number of nonzeros in equality constraint Jacobian...: 1161372\n", + "Number of nonzeros in inequality constraint Jacobian.: 15360\n", + "Number of nonzeros in Lagrangian Hessian.............: 391680\n", + "\n", + "Total number of variables............................: 422329\n", + " variables with only lower bounds: 40249\n", + " variables with lower and upper bounds: 353280\n", + " variables with only upper bounds: 0\n", + "Total number of equality constraints.................: 416566\n", + "Total number of inequality constraints...............: 7680\n", + " inequality constraints with only lower bounds: 0\n", + " inequality constraints with lower and upper bounds: 0\n", + " inequality constraints with only upper bounds: 7680\n", + "\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 0 -4.8969775e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -5.9817795e+09 1.92e+05 2.05e+04 -1.0 2.80e+06 - 1.28e-03 8.90e-01f 1\n", + " 2 -6.0924888e+09 7.84e+03 1.21e+04 -1.0 5.02e+05 - 1.24e-03 9.90e-01f 1\n", + " 3 -6.0942116e+09 2.31e+02 5.67e+02 -1.0 1.01e+04 - 3.34e-01 9.71e-01f 1\n", + " 4 -6.0950166e+09 1.28e+02 4.07e+02 -1.0 4.31e+02 - 7.11e-02 4.39e-01f 1\n", + " 5 -6.0954979e+09 1.14e+02 1.56e+03 -1.0 1.12e+03 - 8.24e-02 2.53e-01f 1\n", + " 6 -6.0976921e+09 2.41e+01 2.27e+03 -1.0 6.61e+03 - 1.98e-03 7.75e-01f 1\n", + " 7 -6.0999139e+09 1.38e+01 1.09e+03 -1.0 8.26e+03 - 4.82e-02 4.27e-01f 1\n", + " 8 -6.1009456e+09 1.12e+01 5.74e+03 -1.0 7.47e+03 - 6.39e-02 1.88e-01f 1\n", + " 9 -6.1039402e+09 5.86e+00 2.07e+04 -1.0 7.40e+03 - 5.44e-02 4.81e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 10 -6.1046930e+09 4.84e+00 1.92e+04 -1.0 6.03e+03 - 8.39e-02 1.73e-01f 1\n", + " 11 -6.1071851e+09 2.72e+00 2.14e+04 -1.0 6.45e+03 - 5.79e-02 4.40e-01f 1\n", + " 12 -6.1080494e+09 2.13e+00 2.18e+04 -1.0 5.11e+03 - 8.87e-02 2.16e-01f 1\n", + " 13 -6.1089415e+09 1.58e+00 2.25e+04 -1.0 5.16e+03 - 6.87e-02 2.59e-01f 1\n", + " 14 -6.1094265e+09 1.28e+00 2.15e+04 -1.0 4.47e+03 - 7.82e-02 1.90e-01f 1\n", + " 15 -6.1103183e+09 8.48e-01 2.10e+04 -1.0 5.03e+03 - 6.74e-02 3.38e-01f 1\n", + " 16 -6.1107192e+09 6.88e-01 1.90e+04 -1.0 4.45e+03 - 9.35e-02 1.89e-01f 1\n", + " 17 -6.1110606e+09 5.64e-01 1.77e+04 -1.0 4.70e+03 - 6.55e-02 1.80e-01f 1\n", + " 18 -6.1113606e+09 4.64e-01 1.62e+04 -1.0 4.39e+03 - 7.71e-02 1.77e-01f 1\n", + " 19 -6.1118890e+09 3.04e-01 1.53e+04 -1.0 4.40e+03 - 6.60e-02 3.46e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 20 -6.1120977e+09 2.52e-01 1.38e+04 -1.0 3.79e+03 - 9.29e-02 1.71e-01f 1\n", + " 21 -6.1124264e+09 1.85e-01 1.30e+04 -1.0 3.92e+03 - 7.24e-02 2.65e-01f 1\n", + " 22 -6.1126477e+09 1.47e-01 1.19e+04 -1.0 3.30e+03 - 8.70e-02 2.10e-01f 1\n", + " 23 -6.1128109e+09 1.22e-01 1.07e+04 -1.0 3.51e+03 - 8.43e-02 1.66e-01f 1\n", + " 24 -6.1130826e+09 8.53e-02 8.71e+03 -1.0 3.32e+03 - 1.83e-01 3.03e-01f 1\n", + " 25 -6.1132296e+09 6.97e-02 8.42e+03 -1.0 3.53e+03 - 2.56e-02 1.83e-01f 1\n", + " 26 -6.1133212e+09 6.12e-02 7.71e+03 -1.0 3.09e+03 - 8.29e-02 1.21e-01f 1\n", + " 27 -6.1134538e+09 5.08e-02 7.15e+03 -1.0 3.23e+03 - 6.95e-02 1.71e-01f 1\n", + " 28 -6.1135675e+09 4.35e-02 6.52e+03 -1.0 3.19e+03 - 7.76e-02 1.43e-01f 1\n", + " 29 -6.1137117e+09 3.60e-02 6.03e+03 -1.0 3.12e+03 - 7.48e-02 1.72e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 30 -6.1138859e+09 2.87e-02 5.74e+03 -1.0 3.00e+03 - 8.09e-02 2.03e-01f 1\n", + " 31 -6.1140022e+09 2.46e-02 5.24e+03 -1.0 2.78e+03 - 9.00e-02 1.42e-01f 1\n", + " 32 -6.1141230e+09 2.10e-02 4.81e+03 -1.0 2.79e+03 - 7.89e-02 1.46e-01f 1\n", + " 33 -6.1142765e+09 1.72e-02 4.34e+03 -1.0 2.76e+03 - 8.47e-02 1.83e-01f 1\n", + " 34 -6.1144055e+09 1.45e-02 4.02e+03 -1.0 2.46e+03 - 8.82e-02 1.55e-01f 1\n", + " 35 -6.1145333e+09 1.24e-02 3.70e+03 -1.0 2.58e+03 - 8.81e-02 1.49e-01f 1\n", + " 36 -6.1147292e+09 9.57e-03 3.38e+03 -1.0 2.52e+03 - 8.94e-02 2.27e-01f 1\n", + " 37 -6.1148444e+09 8.25e-03 3.09e+03 -1.0 2.32e+03 - 1.04e-01 1.38e-01f 1\n", + " 38 -6.1149635e+09 7.10e-03 3.05e+03 -1.0 2.48e+03 - 9.20e-02 1.40e-01f 1\n", + " 39 -6.1150884e+09 6.04e-03 3.02e+03 -1.0 2.67e+03 - 9.43e-02 1.48e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 40 -6.1152264e+09 5.04e-03 3.03e+03 -1.0 2.86e+03 - 9.81e-02 1.67e-01f 1\n", + " 41 -6.1153734e+09 4.12e-03 3.03e+03 -1.0 3.07e+03 - 1.06e-01 1.83e-01f 1\n", + " 42 -6.1155044e+09 3.41e-03 2.87e+03 -1.0 3.29e+03 - 1.22e-01 1.71e-01f 1\n", + " 43 -6.1156573e+09 2.71e-03 3.00e+03 -1.0 3.59e+03 - 1.13e-01 2.05e-01f 1\n", + " 44 -6.1158053e+09 2.15e-03 2.92e+03 -1.0 3.83e+03 - 1.33e-01 2.08e-01f 1\n", + " 45 -6.1159133e+09 1.81e-03 2.56e+03 -1.0 4.14e+03 - 1.43e-01 1.58e-01f 1\n", + " 46 -6.1160488e+09 1.45e-03 2.38e+03 -1.0 4.52e+03 - 1.44e-01 2.01e-01f 1\n", + " 47 -6.1161778e+09 1.16e-03 2.09e+03 -1.0 4.84e+03 - 1.65e-01 2.00e-01f 1\n", + " 48 -6.1163121e+09 9.06e-04 1.73e+03 -1.0 5.21e+03 - 1.94e-01 2.17e-01f 1\n", + " 49 -6.1164935e+09 6.27e-04 1.50e+03 -1.0 5.65e+03 - 2.17e-01 3.09e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 50 -6.1166430e+09 4.48e-04 1.03e+03 -1.0 5.91e+03 - 3.04e-01 2.86e-01f 1\n", + " 51 -6.1167413e+09 3.56e-04 8.96e+02 -1.0 6.42e+03 - 8.67e-02 2.04e-01f 1\n", + " 52 -6.1167996e+09 3.10e-04 4.83e+03 -1.0 8.21e+04 - 2.01e-02 1.33e-01f 1\n", + " 53 -6.1168409e+09 2.78e-04 7.48e+03 -1.0 4.62e+04 - 6.02e-02 1.02e-01f 1\n", + " 54 -6.1168858e+09 2.46e-04 1.22e+04 -1.0 5.82e+04 - 4.73e-02 1.17e-01f 1\n", + " 55 -6.1169302e+09 2.16e-04 1.53e+04 -1.0 6.51e+04 - 5.91e-02 1.23e-01f 1\n", + " 56 -6.1169713e+09 1.89e-04 1.82e+04 -1.0 4.41e+04 - 7.32e-02 1.25e-01f 1\n", + " 57 -6.1170135e+09 1.63e-04 2.25e+04 -1.0 7.66e+04 - 6.94e-02 1.39e-01f 1\n", + " 58 -6.1170544e+09 1.39e-04 2.59e+04 -1.0 7.35e+04 - 7.38e-02 1.47e-01f 1\n", + " 59 -6.1170925e+09 1.18e-04 2.85e+04 -1.0 5.50e+04 - 7.65e-02 1.53e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 60 -6.1171286e+09 9.89e-05 3.03e+04 -1.0 6.14e+04 - 7.93e-02 1.58e-01f 1\n", + " 61 -6.1171607e+09 8.28e-05 3.16e+04 -1.0 5.30e+04 - 7.89e-02 1.63e-01f 1\n", + " 62 -6.1171841e+09 7.06e-05 2.93e+04 -1.0 5.80e+04 - 1.11e-01 1.47e-01f 1\n", + " 63 -6.1172105e+09 5.74e-05 3.12e+04 -1.0 7.59e+04 - 6.40e-02 1.88e-01f 1\n", + " 64 -6.1172430e+09 4.15e-05 3.28e+04 -1.0 7.02e+04 - 9.91e-02 2.78e-01f 1\n", + " 65 -6.1172494e+09 3.81e-05 2.84e+04 -1.0 5.36e+04 - 1.18e-01 8.52e-02f 1\n", + " 66 -6.1172643e+09 3.00e-05 4.10e+04 -1.0 7.04e+04 - 8.43e-02 2.11e-01f 1\n", + " 67 -6.1172854e+09 1.85e-05 4.89e+04 -1.0 6.39e+04 - 1.11e-01 3.82e-01f 1\n", + " 68 -6.1172913e+09 1.52e-05 4.43e+04 -1.0 5.55e+04 - 1.09e-01 1.87e-01f 1\n", + " 69 -6.1172975e+09 1.16e-05 4.19e+04 -1.0 6.00e+04 - 5.79e-02 2.34e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 70 -6.1173010e+09 9.32e-06 3.37e+04 -1.0 4.33e+04 - 1.95e-01 1.98e-01f 1\n", + " 71 -6.1173017e+09 8.77e-06 3.08e+04 -1.0 7.32e+04 - 1.08e-01 5.92e-02f 1\n", + " 72 -6.1173019e+09 8.36e-06 2.85e+04 -1.0 8.22e+04 - 1.04e-01 4.60e-02f 1\n", + " 73 -6.1173026e+09 7.72e-06 2.67e+04 -1.0 8.17e+04 - 4.46e-02 7.65e-02f 1\n", + " 74 -6.1173065e+09 6.13e-06 2.33e+04 -1.0 6.75e+04 - 4.89e-02 2.06e-01f 1\n", + " 75 -6.1173088e+09 4.83e-06 1.92e+04 -1.0 5.14e+04 - 1.35e-01 2.13e-01f 1\n", + " 76 -6.1173089e+09 3.58e-06 1.48e+04 -1.0 5.26e+04 - 1.83e-01 2.58e-01f 1\n", + " 77 -6.1173074e+09 2.90e-06 1.24e+04 -1.0 5.23e+04 - 1.44e-01 1.90e-01f 1\n", + " 78 -6.1173061e+09 2.22e-06 1.19e+04 -1.0 4.30e+04 - 9.76e-02 2.33e-01f 1\n", + " 79 -6.1173062e+09 2.07e-06 1.09e+04 -1.0 3.80e+04 - 7.63e-02 7.00e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 80 -6.1173063e+09 1.94e-06 8.51e+03 -1.0 3.57e+04 - 1.81e-01 6.46e-02f 1\n", + " 81 -6.1173078e+09 1.47e-06 1.61e+04 -1.0 4.01e+04 - 6.08e-02 2.43e-01f 1\n", + " 82 -6.1173080e+09 1.32e-06 1.29e+04 -1.0 3.78e+04 - 2.30e-01 1.02e-01f 1\n", + " 83 -6.1173076e+09 9.89e-07 1.10e+04 -1.0 3.57e+04 - 1.26e-01 2.48e-01f 1\n", + " 84 -6.1173064e+09 7.82e-07 9.66e+03 -1.0 4.18e+04 - 1.05e-01 2.09e-01f 1\n", + " 85 -6.1173045e+09 5.55e-07 8.85e+03 -1.0 4.86e+04 - 1.08e-01 2.90e-01f 1\n", + " 86 -6.1173016e+09 3.43e-07 8.17e+03 -1.0 4.30e+04 - 1.70e-01 3.83e-01f 1\n", + " 87 -6.1172992e+09 2.47e-07 7.40e+03 -1.0 4.12e+04 - 1.28e-01 3.04e-01f 1\n", + " 88 -6.1172958e+09 1.49e-07 6.26e+03 -1.0 4.31e+04 - 2.10e-01 3.75e-01f 1\n", + " 89 -6.1172938e+09 1.24e-07 3.43e+03 -1.0 7.25e+04 - 4.21e-01 1.66e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 90 -6.1172888e+09 8.60e-08 2.39e+03 -1.0 5.31e+04 - 2.23e-01 3.09e-01f 1\n", + " 91 -6.1172826e+09 4.88e-08 2.82e+03 -1.0 4.83e+04 - 1.54e-01 4.32e-01f 1\n", + " 92 -6.1172740e+09 1.67e-08 7.43e+03 -1.0 2.66e+04 - 2.24e-01 6.58e-01f 1\n", + " 93 -6.1172709e+09 1.14e-08 5.04e+03 -1.0 1.90e+04 - 3.25e-01 3.19e-01f 1\n", + " 94 -6.1172679e+09 7.60e-09 3.35e+03 -1.0 3.88e+04 - 4.19e-01 3.34e-01f 1\n", + " 95 -6.1172605e+09 1.75e-10 5.11e+03 -1.0 1.80e+04 - 1.74e-01 1.00e+00f 1\n", + " 96 -6.1172585e+09 1.16e-10 9.55e+02 -1.0 7.28e+03 - 8.24e-01 1.00e+00f 1\n", + " 97 -6.1172576e+09 1.16e-10 1.39e+01 -1.0 4.60e+03 - 9.91e-01 1.00e+00f 1\n", + " 98 -6.1172575e+09 1.16e-10 9.19e-01 -1.0 2.50e+03 - 1.00e+00 1.00e+00f 1\n", + " 99 -6.1174874e+09 2.47e-10 4.20e+03 -1.7 1.07e+05 - 1.00e+00 8.85e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 100 -6.1175185e+09 1.16e-10 3.79e+00 -1.7 1.50e+04 - 1.00e+00 1.00e+00f 1\n", + " 101 -6.1175185e+09 1.16e-10 1.58e-01 -1.7 4.14e+01 - 1.00e+00 1.00e+00f 1\n", + " 102 -6.1175572e+09 2.33e-10 1.06e+04 -2.5 2.40e+04 - 1.00e+00 6.88e-01f 1\n", + " 103 -6.1175693e+09 1.16e-10 4.79e+03 -2.5 7.65e+03 - 1.00e+00 6.96e-01f 1\n", + " 104 -6.1175745e+09 1.16e-10 2.45e+00 -2.5 2.44e+03 - 1.00e+00 1.00e+00f 1\n", + " 105 -6.1175745e+09 1.16e-10 2.61e-01 -2.5 2.94e+02 - 1.00e+00 1.00e+00f 1\n", + " 106 -6.1175745e+09 1.16e-10 3.09e-03 -2.5 2.18e+01 - 1.00e+00 1.00e+00f 1\n", + " 107 -6.1175789e+09 1.16e-10 1.01e+02 -3.8 4.62e+03 - 5.35e-01 5.20e-01f 1\n", + " 108 -6.1175800e+09 2.33e-10 3.95e+02 -3.8 4.07e+03 - 1.28e-01 2.80e-01f 1\n", + " 109 -6.1175802e+09 2.33e-10 3.58e+02 -3.8 3.06e+03 - 8.83e-02 8.75e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 110 -6.1175803e+09 3.49e-10 3.19e+02 -3.8 3.48e+03 - 3.81e-02 2.55e-02f 1\n", + " 111 -6.1175805e+09 3.49e-10 2.17e+02 -3.8 3.88e+03 - 1.06e-01 7.28e-02f 1\n", + " 112 -6.1175807e+09 3.49e-10 1.81e+02 -3.8 3.68e+03 - 1.22e-01 1.04e-01f 1\n", + " 113 -6.1175807e+09 3.49e-10 2.85e+02 -3.8 2.25e+03 - 7.85e-02 2.22e-02f 1\n", + " 114 -6.1175809e+09 3.49e-10 7.21e+02 -3.8 1.24e+03 - 1.76e-02 1.02e-01f 1\n", + " 115 -6.1175809e+09 3.49e-10 7.23e+02 -3.8 1.31e+03 - 3.99e-02 4.37e-02f 1\n", + " 116 -6.1175810e+09 3.49e-10 7.97e+02 -3.8 1.41e+03 - 3.50e-02 6.28e-02f 1\n", + " 117 -6.1175811e+09 4.66e-10 7.49e+02 -3.8 2.13e+03 - 7.79e-02 8.22e-02f 1\n", + " 118 -6.1175812e+09 3.49e-10 3.93e+02 -3.8 2.32e+03 - 2.06e-01 9.45e-02f 1\n", + " 119 -6.1175812e+09 4.66e-10 3.85e+02 -3.8 2.32e+03 - 1.93e-02 1.93e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 120 -6.1175813e+09 4.66e-10 3.73e+02 -3.8 2.70e+03 - 4.68e-02 5.97e-02f 1\n", + " 121 -6.1175813e+09 4.66e-10 4.20e+02 -3.8 1.69e+03 - 2.16e-01 5.51e-03f 1\n", + " 122 -6.1175814e+09 4.66e-10 3.92e+02 -3.8 7.13e+02 - 1.23e-02 9.49e-02f 1\n", + " 123 -6.1175814e+09 5.82e-10 3.77e+02 -3.8 5.40e+02 - 5.13e-02 2.87e-02f 1\n", + " 124 -6.1175814e+09 4.66e-10 3.39e+02 -3.8 1.61e+03 - 1.07e-01 1.01e-01f 1\n", + " 125 -6.1175815e+09 4.66e-10 3.15e+02 -3.8 5.23e+02 - 2.87e-02 8.57e-02f 1\n", + " 126 -6.1175815e+09 4.66e-10 2.94e+02 -3.8 9.28e+02 - 2.92e-02 8.21e-02f 1\n", + " 127 -6.1175816e+09 3.49e-10 3.00e+02 -3.8 9.49e+02 - 3.08e-02 8.21e-02f 1\n", + " 128 -6.1175816e+09 4.66e-10 2.45e+02 -3.8 2.15e+03 - 1.38e-01 9.65e-02f 1\n", + " 129 -6.1175816e+09 4.66e-10 2.39e+02 -3.8 1.27e+03 - 7.09e-02 6.00e-03f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 130 -6.1175816e+09 4.66e-10 2.25e+02 -3.8 9.74e+02 - 2.96e-02 6.91e-02f 1\n", + " 131 -6.1175817e+09 4.66e-10 2.38e+02 -3.8 5.00e+02 - 2.98e-02 8.44e-02f 1\n", + " 132 -6.1175817e+09 5.82e-10 1.97e+02 -3.8 3.17e+02 - 1.46e-01 1.27e-01f 1\n", + " 133 -6.1175817e+09 4.66e-10 1.60e+02 -3.8 7.65e+02 - 1.37e-01 1.10e-01f 1\n", + " 134 -6.1175817e+09 4.66e-10 1.52e+02 -3.8 2.82e+02 - 5.92e-02 5.08e-02f 1\n", + " 135 -6.1175817e+09 4.66e-10 1.41e+02 -3.8 2.35e+02 - 5.38e-02 7.94e-02f 1\n", + " 136 -6.1175818e+09 4.66e-10 1.36e+02 -3.8 3.98e+02 - 4.94e-02 1.39e-01f 1\n", + " 137 -6.1175818e+09 4.66e-10 1.16e+02 -3.8 3.99e+02 - 1.40e-01 4.72e-02f 1\n", + " 138 -6.1175818e+09 4.66e-10 1.37e+02 -3.8 4.07e+02 - 2.79e-01 7.55e-02f 1\n", + " 139 -6.1175818e+09 3.49e-10 8.25e+01 -3.8 3.50e+02 - 7.62e-02 2.09e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 140 -6.1175818e+09 4.66e-10 1.41e+02 -3.8 2.45e+02 - 7.40e-02 1.87e-01f 1\n", + " 141 -6.1175818e+09 3.49e-10 1.07e+02 -3.8 6.54e+01 - 1.78e-01 1.40e-01f 1\n", + " 142 -6.1175819e+09 2.33e-10 1.80e+02 -3.8 6.85e+01 - 6.37e-02 3.52e-01f 1\n", + " 143 -6.1175819e+09 2.33e-10 9.34e+01 -3.8 7.62e+01 - 4.97e-01 1.33e-01f 1\n", + " 144 -6.1175819e+09 3.49e-10 1.32e+02 -3.8 3.04e+01 - 1.00e+00 1.08e-01f 1\n", + " 145 -6.1175819e+09 1.16e-10 9.76e-03 -3.8 2.55e+01 - 1.00e+00 1.00e+00f 1\n", + " 146 -6.1175819e+09 1.16e-10 1.96e-04 -3.8 4.87e+00 - 1.00e+00 1.00e+00f 1\n", + " 147 -6.1175819e+09 2.33e-10 5.06e+01 -5.7 1.46e+02 - 5.97e-02 1.62e-01f 1\n", + " 148 -6.1175819e+09 2.33e-10 2.62e+01 -5.7 1.59e+02 - 7.83e-02 3.25e-02f 1\n", + " 149 -6.1175819e+09 2.33e-10 1.13e+02 -5.7 1.47e+02 - 2.11e-01 9.52e-02f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 150 -6.1175819e+09 3.49e-10 9.61e+01 -5.7 9.57e+01 - 1.30e-01 1.37e-01f 1\n", + " 151 -6.1175819e+09 3.49e-10 7.52e+01 -5.7 7.52e+01 - 2.18e-02 1.55e-01f 1\n", + " 152 -6.1175820e+09 3.49e-10 8.36e+01 -5.7 6.26e+01 - 2.16e-01 1.42e-02f 1\n", + " 153 -6.1175820e+09 3.49e-10 7.50e+01 -5.7 5.70e+01 - 2.08e-01 1.31e-01f 1\n", + " 154 -6.1175820e+09 2.33e-10 4.50e+01 -5.7 4.90e+01 - 2.22e-01 3.57e-01f 1\n", + " 155 -6.1175820e+09 2.33e-10 2.96e+01 -5.7 2.89e+01 - 2.85e-01 3.25e-01f 1\n", + " 156 -6.1175820e+09 2.33e-10 1.79e+01 -5.7 1.82e+01 - 3.88e-01 3.93e-01f 1\n", + " 157 -6.1175820e+09 2.33e-10 1.62e+01 -5.7 1.01e+01 - 2.64e-01 1.48e-01f 1\n", + " 158 -6.1175820e+09 2.33e-10 7.72e+00 -5.7 8.50e+00 - 2.61e-01 4.97e-01f 1\n", + " 159 -6.1175820e+09 2.33e-10 6.65e+00 -5.7 4.11e+00 - 3.34e-01 4.11e-01f 1\n", + "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", + " 160 -6.1175820e+09 2.33e-10 6.48e+00 -5.7 3.24e+00 - 4.06e-01 6.17e-01f 1\n", + " 161 -6.1175820e+09 1.16e-10 3.69e+00 -5.7 3.08e+00 - 4.87e-01 5.63e-01f 1\n", + " 162 -6.1175820e+09 1.16e-10 2.93e+00 -5.7 3.34e+00 - 4.98e-01 1.00e+00f 1\n", + " 163 -6.1175820e+09 1.16e-10 5.56e-09 -5.7 1.79e+00 - 1.00e+00 1.00e+00h 1\n", + " 164 -6.1175820e+09 1.16e-10 3.87e-01 -7.0 2.41e+00 - 3.52e-01 4.42e-01f 1\n", + " 165 -6.1175820e+09 1.16e-10 2.39e-01 -7.0 5.09e+00 - 5.44e-01 5.70e-01f 1\n", + " 166 -6.1175820e+09 2.33e-10 6.40e-01 -7.0 1.91e+00 - 9.20e-01 3.36e-01f 1\n", + " 167 -6.1175820e+09 1.16e-10 7.38e-02 -7.0 3.36e-01 - 1.00e+00 9.14e-01f 1\n", + " 168 -6.1175820e+09 1.16e-10 1.29e-08 -7.0 1.89e-01 - 1.00e+00 1.00e+00f 1\n", + "\n", + "Number of Iterations....: 168\n", + "\n", + " (scaled) (unscaled)\n", + "Objective...............: -1.4954768548234174e+08 -6.1175819965721436e+09\n", + "Dual infeasibility......: 1.2901570389027509e-08 5.2776754441139380e-07\n", + "Constraint violation....: 1.1641532182693481e-10 1.1641532182693481e-10\n", + "Complementarity.........: 9.3788526406170319e-08 3.8366290910946047e-06\n", + "Overall NLP error.......: 9.3788526406170319e-08 3.8366290910946047e-06\n", + "\n", + "\n", + "Number of objective function evaluations = 169\n", + "Number of objective gradient evaluations = 169\n", + "Number of equality constraint evaluations = 169\n", + "Number of inequality constraint evaluations = 169\n", + "Number of equality constraint Jacobian evaluations = 169\n", + "Number of inequality constraint Jacobian evaluations = 169\n", + "Number of Lagrangian Hessian evaluations = 168\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 277.300\n", + "Total CPU secs in NLP function evaluations = 118.174\n", + "\n", + "EXIT: Optimal Solution Found.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 424246, 'Number of variables': 422329, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 407.5233008861542}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# pyomo expression for full metric wtih scenario weights applied\n", + "TEALMetric = sum( m.weights_scenarios[n] * scenario['NPV'] \n", + " for n, scenario in enumerate(metrics_list) )\n", + "\n", + "# Define the objective function\n", + "m.obj = Objective(expr=TEALMetric, sense=maximize)\n", + "\n", + "# Define the solver object. Using the default solver: IPOPT\n", + "solver = get_solver()\n", + "\n", + "# Solve the optimization problem0\n", + "solver.solve(m, tee=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "civil-celebration", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optimal PEM capacity : 0.0012525737093756588 MW\n", + "Optimal tank capacity : 0.04354528393436322 kg\n", + "Optimal turbine capacity: 9.077081207425634e-05 MW\n" + ] + } + ], + "source": [ + "# Print Results\n", + "print(\"Optimal PEM capacity : \", m.pem_capacity.value * 1e-3, \"MW\")\n", + "print(\"Optimal tank capacity : \", m.tank_capacity.value * 2.016e-3, \"kg\")\n", + "print(\"Optimal turbine capacity: \", m.h2_turbine_capacity.value * 1e-6, \"MW\")" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "protecting-asthma", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "generate_plots(m.scenario[0], d=8, y=2022, set_time=m.set_time, lmp=m.LMP[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "da70232c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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06FEjOTnZaN68uVGrVi0jICDAiI2NNRYuXGjXV1ZWltGnTx/Dz8/PkGR07drVtu7kyZPGhAkTjKZNmxre3t5GUFCQ0bFjR+Oll14yioqKDMMwjAMHDhiSjBdffNHhfU9NTTUklfoaNmxYuX6PAKomi2EYhtsSJQAAAJyCOXUAAAAmQKgDAAAwAUIdAACACRDqAAAATIBQBwAAYAKEOgAAABPg5sP6/XmMhw8flp+fX5mP9wEAAHAlwzB08uRJhYeHy8Oj/ONuhDpJhw8fvqyHgAMAADjbwYMH1bBhw3J/jlAnyc/PT9Lvv0R/f383VwMAAKqjvLw8NWrUyJZLyotQJ9lOufr7+xPqAACAW13uVDAulAAAADABQh0AAIAJEOoAAABMgFAHAABgAoQ6AAAAEyDUAQAAmAChDgAAwAQIdQAAACZAqAMAADABQh0AAIAJEOoAAABMgFAHAABgAjXcXQAAoPoxDENGQYHT+7VYrZf9MHSgqiPUAQAqlGEY+vXuJBVs3er0vq3t2ily3lyCHaolTr8CACqUUVDgkkAnSQVbtrhkBBCoChipAwC4TfS6tfKwWq+4n5KCAu3t1NkJFQFVF6EOAOA2HlarPHx93V0GYAqcfgUAADABQh0AAIAJEOoAAABMgFAHAABgAoQ6AAAAEyDUAQAAmAChDgAAwAQIdQAAACZAqAMAADABQh0AAIAJEOoAAABMgFAHAABgAoQ6AAAAEyDUAQAAmAChDgAAwAQIdQAAACZQw90FAADgTCUFBU7v02K1ymKxOL1fwJkIdQAAU9nbqbPT+7S2a6fIeXMJdqjUOP0KAKjyLFarrO3auaz/gi1bZLhgBBBwJkbqAABVnsViUeS8uU4PXiUFBS4Z+QNcgVAHADAFi8Uii6+vu8sA3IbTrwAAACZAqAMAADABt4a6adOm6brrrpOfn5+Cg4PVr18/7dmzx65Nt27dfh9S/8Pr/vvvt2uTkZGhPn36yNfXV8HBwXr00Ud17ty5itwVAAAAt3LrnLpVq1YpOTlZ1113nc6dO6fHH39cPXv21K5du1SrVi1bu5EjR2rKlCm2975/mDNRXFysPn36KDQ0VOvXr1dmZqaGDh0qLy8vPffccxW6PwAAAO7i1lC3bNkyu/dz5sxRcHCwNm/erC5dutiW+/r6KjQ0tNQ+vvrqK+3atUtff/21QkJCdM0112jq1KkaP368nn76aXl7e7t0HwAAACqDSjWnLjc3V5IUGBhot3zevHkKCgpSTEyMJkyYoNOnT9vWpaenq3Xr1goJCbEtS0hIUF5ennbu3FnqdgoLC5WXl2f3AgAAqMoqzS1NSkpKNHr0aHXq1EkxMTG25XfffbciIyMVHh6u7du3a/z48dqzZ48+/PBDSVJWVpZdoJNke5+VlVXqtqZNm6bJkye7aE8AAAAqXqUJdcnJydqxY4fWrl1rt3zUqFG2n1u3bq2wsDD16NFD+/fvV5MmTS5rWxMmTNCYMWNs7/Py8tSoUaPLKxwAAKASqBSnX1NSUrR06VJ98803atiw4UXbxsbGSpL27dsnSQoNDVV2drZdm/Pvy5qH5+PjI39/f7sXAABAVebWUGcYhlJSUvTRRx9p5cqVaty48SU/s23bNklSWFiYJCkuLk4//PCDjhw5YmuzfPly+fv7q2XLli6pGwAAoLJx6+nX5ORkzZ8/Xx9//LH8/Pxsc+ACAgJktVq1f/9+zZ8/XzfffLPq1aun7du365FHHlGXLl3Upk0bSVLPnj3VsmVLDRkyRNOnT1dWVpaefPJJJScny8fHx527BwAAUGHcOlL32muvKTc3V926dVNYWJjt9cEHH0iSvL299fXXX6tnz55q3ry5xo4dq8TERH366ae2Pjw9PbV06VJ5enoqLi5OgwcP1tChQ+3uawcAAGB2bh2pMwzjousbNWqkVatWXbKfyMhIff75584qCwCqHMMwZBQUuKRvi9Uqi8Xikr4BOE+lufoVAHB5DMPQr3cnqWDrVpf0b23XTpHz5hLsgEquUlz9CgC4fEZBgcsCnSQVbNnislFAAM7DSB0AmEj0urXysFqd0ldJQYH2durslL4AuB6hDgBMxMNqlYevr7vLMKUSF4xWMl8RzkSoAwDAAa4YtWS+IpyJOXUAAJTBYrXK2q6dy/pnviKciZE6AADKYLFYFDlvrtODF/MV4QqEOgAALsJiscjCPEVUAZx+BQAAMAFCHQAAgAkQ6gAAAEyAUAcAAGAChDoAAAATINQBAACYAKEOAADABAh1AAAAJkCoAwAAMAFCHQAAgAkQ6gAAAEyAUAcAAGAChDoAAAATqOHuAgCgujEMQ0ZBgdP6K3FiXwCqLkIdAFQgwzD0691JKti61d2lADAZTr8CQAUyCgpcFuis7drJYrW6pG8AlR8jdQDgJtHr1srDiSHMYrXKYrE4rT8AVQuhDgDcxMNqlYevr7vLAGASnH4FAAAwAUIdAACACRDqAAAATIBQBwAAYAKEOgAAABMg1AEAAJgAoQ4AAMAECHUAAAAmQKgDAAAwAUIdAACACRDqAAAATIBQBwAAYAKEOgAAABMg1AEAAJgAoQ4AAMAECHUAAAAmQKgDAAAwAUIdAACACdRwdwHVgWEYMgoKJEkWq1UWi8XNFQEAALNhpK4CGAUF2tOuvfa0a28LdwAAAM5EqAMAADABQh0AAIAJEOoAAABMgAslAACAqfzxAkVnq8wXPBLqAACAaRiGoV/vTlLB1q0u6b/Zls2y+Pq6pO8rRagDAABu4YoRtZKCApcFusqOUAcAACqcq0fUJCl63Vp5WK1O7dPi5P6ciVAHAAAqnOHiETVru3byDAystPPfXIFQBwAA3MpVI2rVKdBJhDoAAOBmHlarPCrpxQdVCfepAwAAMAG3hrpp06bpuuuuk5+fn4KDg9WvXz/t2bPHrs2ZM2eUnJysevXqqXbt2kpMTFR2drZdm4yMDPXp00e+vr4KDg7Wo48+qnPnzlXkrgAAALiVW0PdqlWrlJycrA0bNmj58uU6e/asevbsqVOnTtnaPPLII/r000+1aNEirVq1SocPH1b//v1t64uLi9WnTx8VFRVp/fr1eueddzRnzhw99dRT7tglAAAAt3DrnLply5bZvZ8zZ46Cg4O1efNmdenSRbm5uXr77bc1f/583XTTTZKk1NRUtWjRQhs2bNANN9ygr776Srt27dLXX3+tkJAQXXPNNZo6darGjx+vp59+Wt7e3u7YNQAAgApVqebU5ebmSpICAwMlSZs3b9bZs2cVHx9va9O8eXNFREQoPT1dkpSenq7WrVsrJCTE1iYhIUF5eXnauXNnqdspLCxUXl6e3QsAAKAqqzShrqSkRKNHj1anTp0UExMjScrKypK3t7fq1Klj1zYkJERZWVm2Nn8MdOfXn19XmmnTpikgIMD2atSokZP3BgAAoGJVmlCXnJysHTt2aMGCBS7f1oQJE5Sbm2t7HTx40OXbBAAAcKVKcZ+6lJQULV26VKtXr1bDhg1ty0NDQ1VUVKScnBy70brs7GyFhoba2nz77bd2/Z2/OvZ8mz/z8fGRj4+Pk/cCAADAfdw6UmcYhlJSUvTRRx9p5cqVaty4sd369u3by8vLSytWrLAt27NnjzIyMhQXFydJiouL0w8//KAjR47Y2ixfvlz+/v5q2bJlxewIAACAm7l1pC45OVnz58/Xxx9/LD8/P9scuICAAFmtVgUEBGjEiBEaM2aMAgMD5e/vr4ceekhxcXG64YYbJEk9e/ZUy5YtNWTIEE2fPl1ZWVl68sknlZyczGgcAACoNtwa6l577TVJUrdu3eyWp6amavjw4ZKkf/7zn/Lw8FBiYqIKCwuVkJCgWbNm2dp6enpq6dKleuCBBxQXF6datWpp2LBhmjJlSkXtBgAAgNu5NdQZhnHJNjVr1tTMmTM1c+bMMttERkbq888/d2ZpAAAAVUqlufoVAAAAl49QBwAAYAKEOgAAABMg1AEAAJhApbj5MACgcispKKiUfQH4P4Q6AMAl7e3U2d0lALgETr8CAEplsVplbdfOZf1b27WTxWp1Wf9AdcNIHQCgVBaLRZHz5spw0elSi9Uqi8Xikr6B6ohQBwAok8VikcXX191lAHAAp18BAABMgFAHAABgAoQ6AAAAEyDUAQAAmAChDgAAwAQIdQAAACZAqAMAADCBy7pP3dmzZ5WVlaXTp0+rfv36CgwMdHZdAAAAKAeHR+pOnjyp1157TV27dpW/v7+ioqLUokUL1a9fX5GRkRo5cqQ2bdrkyloBAABQBodC3csvv6yoqCilpqYqPj5eS5Ys0bZt2/TTTz8pPT1dkyZN0rlz59SzZ0/16tVLe/fudXXdAAAA+AOHTr9u2rRJq1evVqtWrUpdf/311+vee+/V7NmzlZqaqjVr1ig6OtqphQIAAKBsDoW6999/36HOfHx8dP/9919RQQAAACg/rn4FAAAwgXJf/Xrq1Ck9//zzWrFihY4cOaKSkhK79T///LPTigMAAIBjyh3q/vrXv2rVqlUaMmSIwsLCZLFYXFEXAAAAyqHcoe6LL77QZ599pk6dOrmiHgAAAFyGcs+pq1u3LjcbBgAAqGTKHeqmTp2qp556SqdPn3ZFPQAAALgMDp1+vfbaa+3mzu3bt08hISGKioqSl5eXXdstW7Y4t0IAAABckkOhrl+/fi4uAwAAAFfCoVA3adIkV9cBAACAK+DwnLphw4bp3XffVUZGhivrAQAAwGVw+JYmv/76q+677z4VFRUpKipK3bt3V/fu3XXTTTcpLCzMlTUCAADgEhwOdWlpaSosLNT69euVlpamtLQ0zZ07V2fPnlV0dLQt4A0YMMCV9QIAAKAU5br5sI+Pj22ETpLOnDmj9evX64svvtAbb7yhN954g1AHAADgBuV+ooQkFRUVKT09XWlpafrmm2+0ceNGhYeHKzEx0dn1AQAAwAEOh7rVq1fbhbiIiAh17dpVo0aN0ty5c9WwYUNX1gkAAICLcDjUdevWTRERERo/frwWLFigkJAQV9YFAACAcnD4liaPPfaYQkNDNXr0aP3lL3/RQw89pP/85z86evSoK+sDAACAAxwOdc8//7w2bNigY8eO6YUXXpCvr6+mT5+u8PBwxcTEKDk5WYsXL3ZlrQAAAChDuS+UqF27tnr37q3evXtLko4fP66XX35Zr776qmbPnq3i4mKnFwkAAICLK3eoKykp0aZNm2z3qlu3bp3y8/MVERGh/v37u6JGAAAAXILDoW769Om2EHfy5Ek1aNBA3bp104wZM9S9e3c1btzYlXUCKINhGDIKClzSt8VqlcVicUnfAADncjjUzZgxQ926ddNLL72k7t27q2nTpq6sC4ADDMPQr3cnqWDrVpf0b23XTpHz5hLsAKAKcDjUHT582JV1ALgMRkGBywKdJBVs2SKjoEAWX1+XbQMA4BwOh7qMjAyH2kVERFx2MQAuX/S6tfKwWp3SV0lBgfZ26uyUvgAAFcPhUPfHOXOGYUiS3SkZwzBksVi4+hVwEw+rVR6MqAFAteVwqLNYLGrYsKGGDx+uvn37qkaNy3psLAAAAFzA4WR26NAhvfPOO0pNTdXs2bM1ePBgjRgxQi1atHBlfQAAAHCAw0+UCA0N1fjx4/Xjjz9q8eLFOnHihGJjY3XDDTfozTffVElJiSvrBAAAwEU4HOr+qHPnznr77be1d+9e+fr66v7771dOTo6TSwMAAICjLivUrV+/Xn/961919dVXKz8/XzNnzlSdOnWcXBoAAAAc5fCcuszMTL377rtKTU3ViRMnlJSUpHXr1ikmJsaV9QEAAMABDoe6iIgINWjQQMOGDdOtt94qLy8vlZSUaPv27Xbt2rRp4/QiAQAAcHEOh7ri4mJlZGRo6tSpeuaZZyT93/3qzuM+dQAAAO7hcKg7cOCAK+sAAADAFXA41K1YsUK33nqrgoKCXFkPAAAALoPDV7/OnTtXDRs2VMeOHfXCCy9o9+7drqwLAAAA5eBwqFu5cqUyMzP14IMPavPmzYqNjVV0dLTGjh2r1atXX9bNh1evXq2+ffsqPDxcFotFS5YssVs/fPhwWSwWu1evXr3s2hw/flxJSUny9/dXnTp1NGLECOXn55e7FgAAgKqsXPepq1u3rgYPHqyFCxfq6NGjevXVV1VQUKCkpCQFBwdr6NChWrx4sU6dOuVQf6dOnVLbtm01c+bMMtv06tVLmZmZttf7779vtz4pKUk7d+7U8uXLtXTpUq1evVqjRo0qz24BAABUeQ7Pqfszb29v9erVS7169dKsWbP03Xff6ZNPPtHUqVO1e/duTZw48ZJ99O7dW717975oGx8fH4WGhpa6bvfu3Vq2bJk2bdqkDh06SJJeffVV3XzzzXrppZcUHh5e/h0DAACogi7riRKl6dChg6ZMmaLvv/9ef//7353VrdLS0hQcHKxmzZrpgQce0LFjx2zr0tPTVadOHVugk6T4+Hh5eHho48aNTqsBAACgsivXSN25c+dUUlIib29v27K33npLa9asUYcOHZSSkiKLxSIvLy+nFNerVy/1799fjRs31v79+/X444+rd+/eSk9Pl6enp7KyshQcHGy/QzVqKDAwUFlZWWX2W1hYqMLCQtv7vLw8p9QLAADgLuUaqUtKStKkSZNs719//XX97W9/06lTpzRlyhQ9/vjjTi1u0KBBuvXWW9W6dWv169dPS5cu1aZNm5SWlnZF/U6bNk0BAQG2V6NGjZxTMAAAgJuUK9Rt2bLF7urT119/XTNmzNDixYu1aNEizZ8/3+kF/tFVV12loKAg7du3T5IUGhqqI0eO2LU5d+6cjh8/XuY8PEmaMGGCcnNzba+DBw+6tG4AAABXc+j06z333CNJOnTokF555RW98847MgxD33//vb744gulp6fr3LlzOnz4sO69915J0v/7f//P6cUeOnRIx44dU1hYmCQpLi5OOTk52rx5s9q3by/p91uvlJSUKDY2tsx+fHx85OPj4/T6AAAA3MWhUJeamirp98A0evRo3Xjjjfrss8+0bt06ffjhh5Kk3Nxcffzxx+UKc/n5+bZRN+n3R5Ft27ZNgYGBCgwM1OTJk5WYmKjQ0FDt379fjz32mJo2baqEhARJUosWLdSrVy+NHDlSs2fP1tmzZ5WSkqJBgwZx5SsAAKhWynWhRLdu3TRq1CgNHTpUqampGjhwoG3d999/r+jo6HJt/LvvvlP37t1t78eMGSNJGjZsmF577TVt375d77zzjnJychQeHq6ePXtq6tSpdqNs8+bNU0pKinr06CEPDw8lJibqlVdeKVcdAAAAVV25Qt3LL7+s0aNHa/78+brpppvsLoxYsmSJBg8eXK6Nd+vWTYZhlLn+yy+/vGQfgYGBLp/LBwAAUNmVK9TVq1dP7733XqnrXn75ZacUBAAAgPJz2s2HAQAA4D4Ohbr7779fhw4dcqjDDz74QPPmzbuiogAAAFA+Dp1+rV+/vlq1aqVOnTqpb9++6tChg8LDw1WzZk2dOHFCu3bt0tq1a7VgwQKFh4frjTfecHXdAAAA+AOHQt3UqVOVkpKit956S7NmzdKuXbvs1vv5+Sk+Pl5vvPGG3c2JAQAAUDEcvlAiJCRETzzxhJ544gmdOHFCGRkZKigoUFBQkJo0aSKLxeLKOgEAAHAR5br69by6deuqbt26zq4FAAAAl4mrXwEAAEyAUAcAAGAChDoAAAATINQBAACYQLkulNiwYYM+/fRTFRUVqUePHty+BAAAoJJwONQtXrxYAwcOlNVqlZeXl15++WW98MILGjdunCvrAwAAgAMcPv06bdo0jRw5Urm5uTpx4oSeeeYZPffcc66sDQAAAA5yONTt2bNH48aNk6enpyRp7NixOnnypI4cOeKy4gAAAOAYh0Pd6dOn5e/vb3vv7e2tmjVrKj8/3yWFAQAAwHHlulDirbfeUu3atW3vz507pzlz5igoKMi27OGHH3ZedQAAAHCIw6EuIiJCb775pt2y0NBQvffee7b3FouFUAcAAOAGDoe6X375xYVlAAAA4Epw82EAAAATcHik7t1333Wo3dChQy+7GAAAAFweh0Pd8OHDVbt2bdWoUUOGYZTaxmKxEOoAAADcwOFQ16JFC2VnZ2vw4MG699571aZNG1fWBQAAgHJweE7dzp079dlnn6mgoEBdunRRhw4d9NprrykvL8+V9QEAAMAB5bpQIjY2Vq+//royMzP18MMPa+HChQoLC1NSUpIKCwtdVSMAAAAu4bKufrVarRo6dKgmT56s66+/XgsWLNDp06edXRsAAAAcVO5Q99tvv+m5555TdHS0Bg0apOuuu047d+5U3bp1XVEfAAAAHODwhRILFy5UamqqVq1apYSEBP3jH/9Qnz595Onp6cr6AAAA4ACHQ92gQYMUERGhRx55RCEhIfrll180c+bMC9rxmDAAAICKV65nv1osFs2fP7/MNjz7FQAAwD149isAAIAJOO3Zr4cOHdKoUaOc1R0AAADKwWmh7tixY3r77bed1R0AAADKwWmhDgAAAO5DqAMAADABQh0AAIAJOHz1a//+/S+6Picn50prAQAAwGVyONQFBARccv3QoUOvuCAAAACUn8OhLjU11ZV1AAAA4Aowpw4AAMAECHUAAAAmQKgDAAAwAUIdAACACRDqAAAATIBQBwAAYAKEOgAAABMg1AEAAJgAoQ4AAMAECHUAAAAmQKgDAAAwAUIdAACACRDqAAAATIBQBwAAYAKEOgAAABMg1AEAAJgAoQ4AAMAECHUAAAAm4NZQt3r1avXt21fh4eGyWCxasmSJ3XrDMPTUU08pLCxMVqtV8fHx2rt3r12b48ePKykpSf7+/qpTp45GjBih/Pz8CtwLAAAA93NrqDt16pTatm2rmTNnlrp++vTpeuWVVzR79mxt3LhRtWrVUkJCgs6cOWNrk5SUpJ07d2r58uVaunSpVq9erVGjRlXULgAAAFQKNdy58d69e6t3796lrjMMQzNmzNCTTz6p2267TZL07rvvKiQkREuWLNGgQYO0e/duLVu2TJs2bVKHDh0kSa+++qpuvvlmvfTSSwoPD6+wfQEAAHCnSjun7sCBA8rKylJ8fLxtWUBAgGJjY5Weni5JSk9PV506dWyBTpLi4+Pl4eGhjRs3VnjNAAAA7uLWkbqLycrKkiSFhITYLQ8JCbGty8rKUnBwsN36GjVqKDAw0NamNIWFhSosLLS9z8vLc1bZAAAAblFpR+pcadq0aQoICLC9GjVq5O6SAAAArkilDXWhoaGSpOzsbLvl2dnZtnWhoaE6cuSI3fpz587p+PHjtjalmTBhgnJzc22vgwcPOrl6AACAilVpQ13jxo0VGhqqFStW2Jbl5eVp48aNiouLkyTFxcUpJydHmzdvtrVZuXKlSkpKFBsbW2bfPj4+8vf3t3sBAABUZW6dU5efn699+/bZ3h84cEDbtm1TYGCgIiIiNHr0aD3zzDOKjo5W48aNNXHiRIWHh6tfv36SpBYtWqhXr14aOXKkZs+erbNnzyolJUWDBg3iylcAAFCtuDXUfffdd+revbvt/ZgxYyRJw4YN05w5c/TYY4/p1KlTGjVqlHJyctS5c2ctW7ZMNWvWtH1m3rx5SklJUY8ePeTh4aHExES98sorFb4vAAAA7uTWUNetWzcZhlHmeovFoilTpmjKlClltgkMDNT8+fNdUR4AAECVUWnn1AEAAMBxhDoAAAATINQBAACYAKEOAADABAh1AAAAJkCoAwAAMAG33tIEAABUfoZhyCgocGqfJU7uD4Q6AABwEYZh6Ne7k1Swdau7S8ElcPoVAACUySgocGmgs7ZrJ4vV6rL+qxNG6gAAgEOi162Vh5MDmMVqlcVicWqf1RWhDgAAOMTDapWHr6+7y0AZOP0KAABgAoQ6AAAAEyDUAQAAmAChDgAAwAQIdQAAACZAqAMAADABQh0AAIAJEOoAAABMgFAHAABgAoQ6AAAAEyDUAQAAmAChDgAAwAQIdQAAACZAqAMAADABQh0AAIAJEOoAAABMgFAHAABgAoQ6AAAAEyDUAQAAmAChDgAAwAQIdQAAACZQw90FAEBlZRiGjIICp/ZZ4uT+AOA8Qh0AlMIwDP16d5IKtm51dykA4BBOvwJAKYyCApcGOmu7drJYrS7rH0D1w0gdAFxC9Lq18nByALNYrbJYLE7tE0D1RqgDgEvwsFrl4evr7jIA4KI4/QoAAGAChDoAAAATINQBAACYAKEOAADABAh1AAAAJkCoAwAAMAFCHQAAgAkQ6gAAAEyAUAcAAGAChDoAAAATINQBAACYAKEOAADABAh1AAAAJkCoAwAAMIEa7i4AAK6UYRgyCgqc2meJk/sDAFcj1AGo0gzD0K93J6lg61Z3lwIAbsXpVwBVmlFQ4NJAZ23XThar1WX9A4CzMFIHwDSi162Vh5MDmMVqlcVicWqfAOAKhDoApuFhtcrD19fdZQCAWxDqcAFXTDo/j1EPAABco1KHuqefflqTJ0+2W9asWTP9+OOPkqQzZ85o7NixWrBggQoLC5WQkKBZs2YpJCTEHeWagqsnnfu0aKGoue9JTgx2BEUAACp5qJOkVq1a6euvv7a9r1Hj/0p+5JFH9Nlnn2nRokUKCAhQSkqK+vfvr3Xr1rmjVFNw9aTzwt27tad9B6f26YqgKBEWAVQMV9w+h79f1VOlD3U1atRQaGjoBctzc3P19ttva/78+brpppskSampqWrRooU2bNigG264oaJLNR2nTjo3DP0yeIgKd+92Tn9/4IqgKP1+1WPkvLn8YQTgUns7dXZ6n/z9qp4qfajbu3evwsPDVbNmTcXFxWnatGmKiIjQ5s2bdfbsWcXHx9vaNm/eXBEREUpPTyfUOYGzJ503/vA/zp2r58KgKEkFW7bIKCiQhYn3AJzMYrXK2q6dCrZscUn//P2qnip1qIuNjdWcOXPUrFkzZWZmavLkybrxxhu1Y8cOZWVlydvbW3Xq1LH7TEhIiLKysi7ab2FhoQoLC23v8/LyXFE+/sRisTj9D4zTg6J+PxXiiv+cAeA8i8WiyHlz+fsFp6rUoa537962n9u0aaPY2FhFRkZq4cKFsl7BacFp06ZdcAEGqiZXBEUAqAj8/YKzVaknStSpU0dXX3219u3bp9DQUBUVFSknJ8euTXZ2dqlz8P5owoQJys3Ntb0OHjzowqoBAABcr1KP1P1Zfn6+9u/fryFDhqh9+/by8vLSihUrlJiYKEnas2ePMjIyFBcXd9F+fHx85OPjUxEluxQPMXc9rkoDAFQVlTrUjRs3Tn379lVkZKQOHz6sSZMmydPTU3fddZcCAgI0YsQIjRkzRoGBgfL399dDDz2kuLi4anGRBA8xrxhclQYAqCoqdag7dOiQ7rrrLh07dkz169dX586dtWHDBtWvX1+S9M9//lMeHh5KTEy0u/lwdcBDzF2Hq9IAAFVRpQ51CxYsuOj6mjVraubMmZo5c2YFVVQ58RBz5+KqNABAVVSpQx0cw0PMnY+r0v5PZZ9nWdnrA4CKQqgDcFGMLgJA1VClbmkCoGKcn1dYlVTneaAAIDFSV+GcdaqIU05wJVfNK3Sl6jwPFAAkQl2F41QWqgrmFQJA1cLp1wrgylNZnHICAAASI3UVwpWnsjjlBAAAJEJdheFUFv6IuZUAAGcj1AFuwNxKAICzMacOqCDMrQQAuBIjdUAFYW4lAMCVCHVABWJuJQDAVTj9CgAAYAKEOgAAABMg1AEAAJgAoQ4AAMAECHUAAAAmQKgDAAAwAUIdAACACXCfOgAATIhnTFc/hDoAAEyIZ0xXP5x+BQDAJHjGdPXGSB0AACbBM6arN0IdAAAmwjOmqy9OvwIAAJgAoQ4AAMAECHUAAAAmQKgDAAAwAUIdAACACRDqAAAATIBQBwAAYAKEOgAAABMg1AEAAJgAoQ4AAMAECHUAAAAmQKgDAAAwAUIdAACACdRwdwGVgWEYkqS8vDw3VwIAAKqr8znkfC4pL0KdpJMnT0qSGjVq5OZKAABAdXfy5EkFBASU+3MW43LjoImUlJTo8OHD8vPz08mTJ9WoUSMdPHhQ/v7+7i4Nl5CXl8fxqmI4ZlULx6vq4ZhVLX88XudzSHh4uDw8yj9DjpE6SR4eHmrYsKEkyWKxSJL8/f35MlQhHK+qh2NWtXC8qh6OWdVy/nhdzgjdeVwoAQAAYAKEOgAAABMg1P2Jj4+PJk2aJB8fH3eXAgdwvKoejlnVwvGqejhmVYszjxcXSgAAAJgAI3UAAAAmQKgDAAAwAUIdAACACRDq/mDmzJmKiopSzZo1FRsbq2+//dbdJaEMTz/9tCwWi92refPm7i4L/7N69Wr17dtX4eHhslgsWrJkid16wzD01FNPKSwsTFarVfHx8dq7d697ioWkSx+z4cOHX/Cd69Wrl3uKhaZNm6brrrtOfn5+Cg4OVr9+/bRnzx67NmfOnFFycrLq1aun2rVrKzExUdnZ2W6quHpz5Hh169btgu/Y/fffX67tEOr+54MPPtCYMWM0adIkbdmyRW3btlVCQoKOHDni7tJQhlatWikzM9P2Wrt2rbtLwv+cOnVKbdu21cyZM0tdP336dL3yyiuaPXu2Nm7cqFq1aikhIUFnzpyp4Epx3qWOmST16tXL7jv3/vvvV2CF+KNVq1YpOTlZGzZs0PLly3X27Fn17NlTp06dsrV55JFH9Omnn2rRokVatWqVDh8+rP79+7ux6urLkeMlSSNHjrT7jk2fPr18GzJgGIZhXH/99UZycrLtfXFxsREeHm5MmzbNjVWhLJMmTTLatm3r7jLgAEnGRx99ZHtfUlJihIaGGi+++KJtWU5OjuHj42O8//77bqgQf/bnY2YYhjFs2DDjtttuc0s9uLQjR44YkoxVq1YZhvH7d8rLy8tYtGiRrc3u3bsNSUZ6erq7ysT//Pl4GYZhdO3a1fjb3/52Rf0yUiepqKhImzdvVnx8vG2Zh4eH4uPjlZ6e7sbKcDF79+5VeHi4rrrqKiUlJSkjI8PdJcEBBw4cUFZWlt33LSAgQLGxsXzfKrm0tDQFBwerWbNmeuCBB3Ts2DF3l4T/yc3NlSQFBgZKkjZv3qyzZ8/afc+aN2+uiIgIvmeVwJ+P13nz5s1TUFCQYmJiNGHCBJ0+fbpc/fLsV0lHjx5VcXGxQkJC7JaHhIToxx9/dFNVuJjY2FjNmTNHzZo1U2ZmpiZPnqwbb7xRO3bskJ+fn7vLw0VkZWVJUqnft/PrUPn06tVL/fv3V+PGjbV//349/vjj6t27t9LT0+Xp6enu8qq1kpISjR49Wp06dVJMTIyk379n3t7eqlOnjl1bvmfuV9rxkqS7775bkZGRCg8P1/bt2zV+/Hjt2bNHH374ocN9E+pQJfXu3dv2c5s2bRQbG6vIyEgtXLhQI0aMcGNlgDkNGjTI9nPr1q3Vpk0bNWnSRGlpaerRo4cbK0NycrJ27NjBvOIqoqzjNWrUKNvPrVu3VlhYmHr06KH9+/erSZMmDvXN6VdJQUFB8vT0vOCqoOzsbIWGhrqpKpRHnTp1dPXVV2vfvn3uLgWXcP47xfetarvqqqsUFBTEd87NUlJStHTpUn3zzTdq2LChbXloaKiKioqUk5Nj157vmXuVdbxKExsbK0nl+o4R6iR5e3urffv2WrFihW1ZSUmJVqxYobi4ODdWBkfl5+dr//79CgsLc3cpuITGjRsrNDTU7vuWl5enjRs38n2rQg4dOqRjx47xnXMTwzCUkpKijz76SCtXrlTjxo3t1rdv315eXl5237M9e/YoIyOD75kbXOp4lWbbtm2SVK7vGKdf/2fMmDEaNmyYOnTooOuvv14zZszQqVOndM8997i7NJRi3Lhx6tu3ryIjI3X48GFNmjRJnp6euuuuu9xdGvR7yP7jf5cHDhzQtm3bFBgYqIiICI0ePVrPPPOMoqOj1bhxY02cOFHh4eHq16+f+4qu5i52zAIDAzV58mQlJiYqNDRU+/fv12OPPaamTZsqISHBjVVXX8nJyZo/f74+/vhj+fn52ebJBQQEyGq1KiAgQCNGjNCYMWMUGBgof39/PfTQQ4qLi9MNN9zg5uqrn0sdr/3792v+/Pm6+eabVa9ePW3fvl2PPPKIunTpojZt2ji+oSu6dtZkXn31VSMiIsLw9vY2rr/+emPDhg3uLgllGDhwoBEWFmZ4e3sbDRo0MAYOHGjs27fP3WXhf7755htD0gWvYcOGGYbx+21NJk6caISEhBg+Pj5Gjx49jD179ri36GruYsfs9OnTRs+ePY369esbXl5eRmRkpDFy5EgjKyvL3WVXW6UdK0lGamqqrU1BQYHx4IMPGnXr1jV8fX2N22+/3cjMzHRf0dXYpY5XRkaG0aVLFyMwMNDw8fExmjZtajz66KNGbm5uubZj+d/GAAAAUIUxpw4AAMAECHUAAAAmQKgDAAAwAUIdAACACRDqAAAATIBQBwAAYAKEOgAAABMg1AEAAJgAoQ5AtZCWliaLxXLBA84ryooVK9SiRQsVFxdLkp5++mldc8015e6nqKhIUVFR+u6775xcIYCqjlAHwHS6deum0aNH2y3r2LGjMjMzFRAQ4JaaHnvsMT355JPy9PS8on68vb01btw4jR8/3kmVATALQh2AasHb21uhoaGyWCwVvu21a9dq//79SkxMvKJ+ioqKJElJSUlau3atdu7c6YzyAJgEoQ6AqQwfPlyrVq3Sv/71L1ksFlksFv3yyy8XnH6dM2eO6tSpo6VLl6pZs2by9fXVHXfcodOnT+udd95RVFSU6tatq4cffth2ylSSCgsLNW7cODVo0EC1atVSbGys0tLSLlrTggUL9Je//EU1a9a8YN17772nqKgoBQQEaNCgQTp58qRtXbdu3ZSSkqLRo0crKChICQkJkqS6deuqU6dOWrBgwZX/wgCYBqEOgKn861//UlxcnEaOHKnMzExlZmaqUaNGpbY9ffq0XnnlFS1YsED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    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "LMP_array_2022_0 = [LMP[0][2022][1][d] for d in m.set_time]\n", + "LMP_array_2022_0 = [LMP[0][2022][8][d] for d in m.set_time]\n", + "LMP_dict = {}\n", + "LMP_dict[\"Year: 2022 \\n Cluster 1\"] = LMP_array_2022_0\n", + "\n", + "m.plot_lmp_signal(LMP_dict)\n", + "# import matplotlib.pyplot as plt\n", + "# plt.figure()\n", + "# plt.plot(LMP_array, 'r', linewidth=3)" ] } ], "metadata": { "kernelspec": { - "display_name": "teal-int-test", + "display_name": "dispatches-raven", "language": "python", "name": "python3" }, @@ -2364,11 +4657,11 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.0" + "version": "3.8.15" }, "vscode": { "interpreter": { - "hash": "6c0e8164572cba95cad9fe66a50ec70e86cec7bf932427208bc75e6d83a22316" + "hash": "d47843686d7820a229f3310393a8c58823b8091100b954bbb13c3c670d8eeb98" } } }, diff --git a/dispatches/util/teal_integration.py b/dispatches/util/teal_integration.py index 05d060f5e..16053a184 100644 --- a/dispatches/util/teal_integration.py +++ b/dispatches/util/teal_integration.py @@ -24,23 +24,23 @@ from TEAL.src.Amortization import MACRS ################### -def checkAmortization(projLife, amortYears=None): +def checkAmortization(compLife, amortYears=None): """ - Check proposed amortization schedule against intended project life. + Check proposed amortization schedule against intended component life. If amortization schedule not provided, calculates an appropriate - one that is less than project life. + one that is less than component life. - @ In, projLife, CashFlow, project lifetime + @ In, compLife, CashFlow, component lifetime @ In, amortYears, float or int, intended amortization years (defaults to None) @ Out, amortYears, float or int, corrected amortization years """ MACRS_yrs = np.array(list(MACRS.keys())) # available amortization years - amortIsCorrect = bool(amortYears is not None and projLife > amortYears) # check if recalc is needed + amortIsCorrect = bool(amortYears is not None and compLife > amortYears) # check if recalc is needed # amortization years longer than intended project life, must recalculate if not amortIsCorrect: assert isinstance(amortYears, (float, int)) - amortYears = MACRS_yrs[projLife > MACRS_yrs].max() # largest value less than project life + amortYears = MACRS_yrs[compLife > MACRS_yrs].max() # largest value less than project life print("Proposed amortization schedule cannot be longer than intended project life.") print(f"Returning a shortened schedule: {amortYears} yrs") @@ -79,7 +79,8 @@ def build_econ_settings(cfs, life=5, dr=0.1, tax=0.21, infl=0.02184, metrics=Non 'inflation': infl, 'ProjectTime': life, 'Indicator': {'name': metrics, # TODO: check IRR, PI - 'active': active} + 'active': active}, + 'Output' : True, } settings = CashFlows.GlobalSettings() settings.setParams(params) @@ -101,7 +102,7 @@ def build_TEAL_Component(name, comp, mdl, scenario=None, scenario_ind=None): # if scenario is None, we are doing LMP Deterministic (only 1 scenario) # otherwise, mdl is the main Pyomo model and scenario is the submodel for the scenario within mdl scenario = mdl if scenario is None else scenario - life = np.min([mdl.plant_life, comp['Lifetime']]) + life = comp['Lifetime'] tealComp = CashFlows.Component() tealComp.setParams({'name': name, 'Life_time': life}) @@ -113,7 +114,7 @@ def build_TEAL_Component(name, comp, mdl, scenario=None, scenario_ind=None): cashFlows.append(capex) if 'Amortization' in cfDict.keys(): - # check desired time < proj years + # check desired time < comp lifetime amort = checkAmortization( life, cfDict['Amortization'] ) capex.setAmortization('MACRS', amort) # calculate schedule amorts = getattr(tealComp, '_createDepreciation')(capex) # create actual TEAL cash flow @@ -121,7 +122,7 @@ def build_TEAL_Component(name, comp, mdl, scenario=None, scenario_ind=None): elif cfName == 'FixedOM': alpha, driver = getCapexVarFromModel(cfDict, scenario) - fixedOM = createRecurringYearly(alpha, driver, mdl.set_years) + fixedOM = createRecurringYearly(alpha, driver, mdl.project_years) cashFlows.append(fixedOM) elif cfName == 'Hourly': @@ -193,51 +194,45 @@ def getDispatchVarFromModel(cfDict, mdl, scenario, scenario_ind=None): n_hours = len(mdl.set_time) n_days = len(mdl.set_days) n_years = len(mdl.set_years) - n_projLife = mdl.plant_life + 1 - - yearsMapArray = np.hstack([0, mdl.set_years]) # looks like [0, 2022, 2022, 2022, 2022, ... 2032, ... ] - n_hours_per_year = n_hours * n_days # sometimes number of days refers to clusters < 365 + n_projLife = mdl.plant_life + 1 + fullYearsArray = np.hstack([0, mdl.project_years]) # looks like [0, 2022, 2022, 2022, 2022, ... 2032, ... ] + + # template array for holding dispatch Pyomo expressions/objects dispatch_array = np.zeros((n_projLife, n_hours_per_year), dtype=object) - indeces = np.array([tuple(i) for i in mdl.set_period], dtype="i,i,i") + # time indeces for DISPATCHES, as array of tuples + indeces = np.array([tuple(i) for i in mdl.set_period], dtype="i,i,i") time_shape = (n_years, n_hours_per_year) # reshaping the tuples array to match HERON dispatch - indeces = indeces.reshape(time_shape) + indeces = indeces.reshape(time_shape) - if mdl._stochastic_model: - weights_days = mdl.weights_days[scenario_ind] - else: - weights_days = mdl.weights_days + is_stochastic = getattr(mdl, '_stochastic_model') + weights_days = mdl.weights_days[scenario_ind] if is_stochastic else mdl.weights_days # currently, taking this to mean that we are using the LMP signal... # TODO: needs to be more general here if alpha == []: - signal = mdl.LMP - - # # plus 1 to year term to allow for 0 recurring costs during build year + # # one extra year in first axis to account for construction year (no production) alpha = np.zeros([n_projLife, n_hours_per_year]) # it necessary to have alpha be [year, clusterhour] instead of [year, cluster, hour] # clusterhour loops through hours first, then cluster - if mdl._stochastic_model: - signal = signal[scenario_ind] - + signal = mdl.LMP[scenario_ind] if is_stochastic else mdl.LMP realized_alpha = [[signal[y][d][h] \ for d in mdl.set_days for h in mdl.set_time] # order here matches *indeces* - for y in yearsMapArray[1:]] #shape here is [year, hour] + for y in fullYearsArray[1:]] #shape here is [year, hour] # # first column of year axis is 0 for project year 0 realized_alpha = np.array(realized_alpha) alpha[1:,:] = realized_alpha - # TODO: check that all periods and LMPs match up... pcount = -1 - for p, pyear in enumerate(yearsMapArray): + for p, pyear in enumerate(fullYearsArray): if pyear == 0: continue - if pyear > yearsMapArray[p-1]: + if pyear > fullYearsArray[p-1]: pcount +=1 for time in range(n_hours_per_year): @@ -336,75 +331,3 @@ def createRecurringHourly(alpha, driver, projLife): else: cf.computeIntrayearCashflow(year, alpha[year, :], driver[year, :]) return cf - -################################### -# Helper methods -################################### - -def restructure_LMP(m): - """ - Restructures LMP signal from JSON to be more compatible with TEAL (might be deprecated) - @ In, m, Pyomo model, multiperiod Pyomo model - @ Out, None, None - """ - # list of available years in LMP data - if m._stochastic_model: - years = list(m.LMP[0].keys()) - else: - years = list(m.LMP.keys()) - - n_years_data = len(years) - set_scenarios = list( m.LMP.keys() ) if m._stochastic_model else [0] - - # template dictionary full of 0s, same structure as LMP - zeroDict = {cluster: {hour: 0 - for hour in m.set_time} - for cluster in m.set_days} - - ## CHECKING THAT WE HAVE ENOUGH DATA FOR SIM ## - - # Case where we have less data than the project life/sim time - # Here, we assume (as in the default nuclear case demo) that - # the years 2022-2031 all have the same LMP data, which - # helps to cut down on variables just for the demonstration - if n_years_data < m.plant_life: - print("Requested LMP Data less than project life") - projLifeRange = np.arange( years[0]-1, # year-1 is the construction year - years[0] + m.plant_life) # full project time with first year of data as starting point - - # initializing empty dicts and lists - newLMP = {} # going to replace existing LMP dictionary - - for s in set_scenarios: - newYearsVec = [] # list of years used - stuckYear = 0 # ugly way of duplicating years - # looping through possible years in lifetime (e.g., 2021 -> 2041) - for i,y in enumerate(projLifeRange): - # data not available for given year within project lifetime - if y not in years: - if i == 0: # construction year - newLMP[y] = zeroDict - newYearsVec.append(0) - else: # duplicate previous year's values - newLMP[y] = newLMP[y-1] - newYearsVec.append(stuckYear) - # data for current year is available in LMP dict - else: - stuckYear = y # update year for duplication (word?) - newLMP[y] = m.LMP[y] if not m._stochastic_model else m.LMP[s][y] # keep current LMP value - newYearsVec.append(y) # update current year - - # save to model object - if m._stochastic_model: - m.LMP[s] = newLMP - else: - m.LMP = newLMP - m.yearsFullVec = newYearsVec - - elif n_years_data > m.plant_life: - print("LMP Data more than project life, must curtail.") - # TODO fill this out - else: - print("LMP Data matches project life") - # TODO fill this out - # years.insert(0,0) From 36ce1f4fa0974b345e918d0fec83210176f5f81d Mon Sep 17 00:00:00 2001 From: "Gabriel J. 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zl%zCZ>|{#LbkLHg7!VJI$jqh~a-6C^ckbM7Bt)Q_RAXly#6t}J%u&UpK7$Z?67pK^ zg;}6qB0UmUl%#^mB^vdS686)84}{g2fuV99^^_vX1w7EE&N#wNwK;&!GvY~kadW>@ zE>**W8;5khDhBk-1)F!2t12sBfB;TXMVx&IBvoNG$3j6T=}zozCCCyJcqT+Yd6ELq zHKLScPQIZ*T^3jME;%V;hU3`~2~%!(jo93b9_hF*udP96*(uAq@9b5w)L3*KizUgp z38KH<(#ih*{k7t0FBYKj|26O&M7sBnbYqhHv z*-LaHDA!42Zm^Z(TBWOS!(B@5l8Lj%_JJ$7a;mu}p%+6m(>^;y)!0o4XVDfjNOJGq z{kk)oObKg3-QkQyv;$cj_yx_<#_kKx&n!k`?e@aYkWLhe7-txey4ni)FhEqOQe=>kFynglMRr6tIQ6#)&k0OrWcBOp#NU Date: Tue, 28 Feb 2023 13:18:39 -0700 Subject: [PATCH 20/29] fixing indexing of generated synth hist years, updating comp lifetimes, new plot image --- .../nuclear_case/ARMA_LMP_signals.png | Bin 19397 -> 22604 bytes ...od_design_pricetaker_wTEALandSynhist.ipynb | 1641 ++++++++--------- dispatches/util/syn_hist_integration.py | 6 +- 3 files changed, 751 insertions(+), 896 deletions(-) diff --git a/dispatches/case_studies/nuclear_case/ARMA_LMP_signals.png b/dispatches/case_studies/nuclear_case/ARMA_LMP_signals.png index 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zRgf}fM6#~`$2`%O(E|<0!($wFX44GUYzX|gY&=Y$y@83FtS`caa_k14g;*AVL4WuJ zUOd_1#ps-SP>Bmr0CQkNm5hIPe___LO1bBe`7-!9Z;~`X zvIDvVOKW7K5|o^HxPbj|(*vVOpjN2O(J(RC2FX%VSM*%RuK98=@2Kpx9^G(-O`I1a zVvuSa9@xWP+znL}2`=5(J|eV`u^X(XcujeXwBhL%QE+2(WA;;v2pU;#Ybf5eoQ@7t zMQ@OZoX;0BZ-_)ZfJ;DNGVVV4GFe4U&4(CgibRY*>#;bs^S1!6Xn>0|u!vPLZMN9s zv3Lw2DEx!0`jB)k7oo<)e#Am0V3`SXYA(as$BZjNt1zTa(l^AFn=V|+cdNg`NgiYX zfJYwjLDWB3eWthy!3idf&(G&{-4Y}7Yrfq?m?jg$;20zf073k%Bp*(hFm5xeFA0&34qVa$}%kv7qO8+X1fk7Al-S= zl%zCZ>|{#LbkLHg7!VJI$jqh~a-6C^ckbM7Bt)Q_RAXly#6t}J%u&UpK7$Z?67pK^ zg;}6qB0UmUl%#^mB^vdS686)84}{g2fuV99^^_vX1w7EE&N#wNwK;&!GvY~kadW>@ zE>**W8;5khDhBk-1)F!2t12sBfB;TXMVx&IBvoNG$3j6T=}zozCCCyJcqT+Yd6ELq zHKLScPQIZ*T^3jME;%V;hU3`~2~%!(jo93b9_hF*udP96*(uAq@9b5w)L3*KizUgp z38KH<(#ih*{k7t0FBYKj|26O&M7sBnbYqhHv z*-LaHDA!42Zm^Z(TBWOS!(B@5l8Lj%_JJ$7a;mu}p%+6m(>^;y)!0o4XVDfjNOJGq z{kk)oObKg3-QkQyv;$cj_yx_<#_kKx&n!k`?e@aYkWLhe7-txey4ni)FhEqOQe=>kFynglMRr6tIQ6#)&k0OrWcBOp#NU Evaluating interpolated ROM ...\n", - "(393476.57 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", - "(393477.09 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", - "(393477.10 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", - "(393477.11 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", - "(393477.12 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", - "(393477.13 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", - "(393477.14 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", - "(393477.15 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", - "(393477.16 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", - "(393477.17 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", - "(393477.18 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", - "(393477.20 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", - "(393477.21 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", - "(393477.22 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", - "(393477.23 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", - "(393477.25 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", - "(393477.27 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", - "(393477.28 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", - "(393477.30 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", - "(393477.31 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", - "(393477.32 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", - "(393477.33 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", - "(393477.34 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", - "(393477.35 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", - "(393477.37 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", - "(393477.38 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", - "(393477.39 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", - "(393477.40 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n" + "(405099.95 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", + "(405099.95 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", + "(405099.97 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", + "(405099.98 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", + "(405099.99 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", + "(405100.01 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", + "(405100.02 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", + "(405100.03 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", + "(405100.04 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", + "(405100.05 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", + "(405100.06 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", + "(405100.07 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", + "(405100.09 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", + "(405100.10 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", + "(405100.11 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", + "(405100.12 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", + "(405100.13 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", + "(405100.14 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", + "(405100.15 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", + "(405100.17 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", + "(405100.18 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", + "(405100.19 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", + "(405100.20 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", + "(405100.22 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", + "(405100.23 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", + "(405100.24 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", + "(405100.25 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", + "(405100.27 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", + "(405100.28 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n" ] } ], @@ -483,7 +475,7 @@ "# make sure that sampled years sum up to plant life\n", "assert sum(years_per_set) == plant_life\n", "project_year_map = [[y]*n for y,n in zip(years_to_sample, years_per_set)]\n", - "project_year_map = np.array(project_year_map).flatten()\n", + "project_year_map = np.array(sum(project_year_map, [])) # some magic to flatten the list, had trouble when list of lists had more than 2 entries\n", "\n", "set_years = np.arange(years_to_sample[0], years_to_sample[0] + plant_life) # Set of years\n", "\n", @@ -540,7 +532,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 50, "id": "aac88a5a", "metadata": {}, "outputs": [], @@ -581,7 +573,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 51, "id": "62ac5fa1", "metadata": {}, "outputs": [], @@ -600,7 +592,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 52, "id": "97f6bb19", "metadata": {}, "outputs": [], @@ -674,7 +666,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 53, "id": "9c21b065", "metadata": {}, "outputs": [ @@ -683,11 +675,11 @@ "output_type": "stream", "text": [ "[+ 0.00] Beginning the formulation of the multiperiod optimization problem.\n", - "[+ 211.13] Completed the formulation of the multiperiod optimization problem.\n", - "2023-02-28 06:23:24 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "[+ 3.99] Created an instance of the flowsheet and initialized it.\n", - "[+ 27.64] Initialized the entire multiperiod optimization model.\n", - "[+ 0.62] Unfixed the degrees of freedom from each period model.\n" + "[+ 224.86] Completed the formulation of the multiperiod optimization problem.\n", + "2023-02-28 09:37:21 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "[+ 3.36] Created an instance of the flowsheet and initialized it.\n", + "[+ 16.42] Initialized the entire multiperiod optimization model.\n", + "[+ 0.51] Unfixed the degrees of freedom from each period model.\n" ] } ], @@ -730,7 +722,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 54, "id": "22a22379", "metadata": {}, "outputs": [], @@ -802,7 +794,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 55, "id": "e7fcb9cb", "metadata": {}, "outputs": [], @@ -810,7 +802,7 @@ "components={\n", " # Electrolyzer: negative Cash flows\n", " \"pem\":{ \n", - " \"Lifetime\": 20,\n", + " \"Lifetime\": 5,\n", " \"Capex\":{\n", " \"Expressions\": ['pem_capacity'],\n", " \"Value\": 1630, # $/kW\n", @@ -830,7 +822,7 @@ " },\n", " # Hydrogen Tank: negative Cash flows\n", " \"h2tank\":{\n", - " \"Lifetime\": 20,\n", + " \"Lifetime\": 10,\n", " \"Capex\":{\n", " \"Expressions\": ['tank_capacity'],\n", " \"Value\": 1.946851199, # $29/kWh * 33.3 kWh/kg * 2.016e-3 kg/mol\n", @@ -894,7 +886,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 56, "id": "republican-diagnosis", "metadata": {}, "outputs": [], @@ -921,7 +913,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 57, "id": "c5844dcd", "metadata": {}, "outputs": [ @@ -929,18 +921,17 @@ "name": "stdout", "output_type": "stream", "text": [ + "Proposed amortization schedule cannot be longer than intended project life.\n", + "Returning a shortened schedule: 3 yrs\n", "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [ 0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059\n", - " 0.0591 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0.\n", - " 0. 0. 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", - " 0. 0. 0.]\n", + "DEBUGG amort alpha: [ 0. 0.3333 0.4445 0.1481 0.0741 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0.]\n", + "Proposed amortization schedule cannot be longer than intended project life.\n", + "Returning a shortened schedule: 7 yrs\n", "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [ 0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059\n", - " 0.0591 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0.\n", - " 0. 0. 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", - " 0. 0. 0.]\n", + "DEBUGG amort alpha: [ 0. 0.1429 0.2449 0.1749 0.1249 0.0893 0.0892 0.0893 0.0446\n", + " 0. 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. 0. 0.]\n", "DEBUGG amortizing cf: Cap\n", "DEBUGG amort alpha: [ 0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059\n", " 0.0591 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0.\n", @@ -967,21 +958,6 @@ "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", @@ -994,22 +970,7 @@ "CashFlow INFO (compLife): 2 , , , \n", "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", @@ -1022,22 +983,7 @@ "CashFlow INFO (compLife): 2 , , , \n", "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", @@ -1107,16 +1053,6 @@ "CashFlow INFO (compLife): 8 , , , \n", "CashFlow INFO (compLife): 9 , , , \n", "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", @@ -1133,18 +1069,8 @@ "CashFlow INFO (compLife): 6 , , , \n", "CashFlow INFO (compLife): 7 , , , \n", "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", @@ -1161,18 +1087,8 @@ "CashFlow INFO (compLife): 6 , , , \n", "CashFlow INFO (compLife): 7 , , , \n", "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", @@ -1379,17 +1295,17 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 5: \n", "CashFlow INFO (proj comp): 6: \n", "CashFlow INFO (proj comp): 7: \n", "CashFlow INFO (proj comp): 8: \n", "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 10: \n", "CashFlow INFO (proj comp): 11: \n", "CashFlow INFO (proj comp): 12: \n", "CashFlow INFO (proj comp): 13: \n", "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", "CashFlow INFO (proj comp): 17: \n", "CashFlow INFO (proj comp): 18: \n", @@ -1406,21 +1322,21 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 5: \n", "CashFlow INFO (proj comp): 6: \n", "CashFlow INFO (proj comp): 7: \n", "CashFlow INFO (proj comp): 8: \n", "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 10: \n", "CashFlow INFO (proj comp): 11: \n", "CashFlow INFO (proj comp): 12: \n", "CashFlow INFO (proj comp): 13: \n", "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", @@ -1433,21 +1349,21 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 5: \n", "CashFlow INFO (proj comp): 6: \n", "CashFlow INFO (proj comp): 7: \n", "CashFlow INFO (proj comp): 8: \n", "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 10: \n", "CashFlow INFO (proj comp): 11: \n", "CashFlow INFO (proj comp): 12: \n", "CashFlow INFO (proj comp): 13: \n", "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", @@ -1523,7 +1439,7 @@ "CashFlow INFO (proj comp): 7: \n", "CashFlow INFO (proj comp): 8: \n", "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 10: \n", "CashFlow INFO (proj comp): 11: \n", "CashFlow INFO (proj comp): 12: \n", "CashFlow INFO (proj comp): 13: \n", @@ -1549,16 +1465,16 @@ "CashFlow INFO (proj comp): 6: \n", "CashFlow INFO (proj comp): 7: \n", "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", "CashFlow INFO (proj comp): 11: \n", "CashFlow INFO (proj comp): 12: \n", "CashFlow INFO (proj comp): 13: \n", "CashFlow INFO (proj comp): 14: \n", "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", "CashFlow INFO (proj comp): 19: \n", "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", @@ -1576,16 +1492,16 @@ "CashFlow INFO (proj comp): 6: \n", "CashFlow INFO (proj comp): 7: \n", "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", "CashFlow INFO (proj comp): 11: \n", "CashFlow INFO (proj comp): 12: \n", "CashFlow INFO (proj comp): 13: \n", "CashFlow INFO (proj comp): 14: \n", "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", "CashFlow INFO (proj comp): 19: \n", "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", @@ -1829,9 +1745,325 @@ "metrics = calculate_TEAL_metrics(tealSettings, tealComponentList)" ] }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "29cc4eb9", + "metadata": {}, + "source": [ + "### TEAL Metrics and Cashflows\n", + "\n", + "Here we print out some TEAL cashflows. Note that all Recurring cashflows (FixedOM, VarOM) are summed per year.\n", + "Some expressions are printed out here per component. " + ] + }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 58, + "id": "899d7df8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "==================================================\n", + "Cashflows for pem: \n", + "\n", + "Cap-----------------------------------------------\n", + "-1630.0*pem_capacity \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " -1630.0*pem_capacity \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " -1630.0*pem_capacity \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " -1630.0*pem_capacity \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + "\n", + "pem_amortize_Cap----------------------------------\n", + "0.0 \n", + " 531.6673843263133*pem_capacity \n", + " 693.8947016512686*pem_capacity \n", + " 226.25280150259144*pem_capacity \n", + " 110.78327908182804*pem_capacity \n", + " 0.0 \n", + " 477.22756739679943*pem_capacity \n", + " 622.8436993895428*pem_capacity \n", + " 203.0857586169383*pem_capacity \n", + " 99.43968041495101*pem_capacity \n", + " 0.0 \n", + " 428.36208839864906*pem_capacity \n", + " 559.0679291052085*pem_capacity \n", + " 182.29089354522284*pem_capacity \n", + " 89.25760388193437*pem_capacity \n", + " 0.0 \n", + " 384.50016577663996*pem_capacity \n", + " 501.8224470446237*pem_capacity \n", + " 163.62530832205897*pem_capacity \n", + " 80.11811600257776*pem_capacity \n", + " 0.0 \n", + "\n", + "pem_depreciate_Cap--------------------------------\n", + "0.0 \n", + " -425.3339074610506*pem_capacity \n", + " -555.1157613210148*pem_capacity \n", + " -181.00224120207315*pem_capacity \n", + " -88.62662326546244*pem_capacity \n", + " 0.0 \n", + " -381.78205391743955*pem_capacity \n", + " -498.2749595116342*pem_capacity \n", + " -162.46860689355066*pem_capacity \n", + " -79.55174433196082*pem_capacity \n", + " 0.0 \n", + " -342.6896707189192*pem_capacity \n", + " -447.25434328416674*pem_capacity \n", + " -145.8327148361783*pem_capacity \n", + " -71.4060831055475*pem_capacity \n", + " 0.0 \n", + " -307.600132621312*pem_capacity \n", + " -401.45795763569896*pem_capacity \n", + " -130.9002466576472*pem_capacity \n", + " -64.0944928020622*pem_capacity \n", + " 0.0 \n", + "\n", + "FixedOM-------------------------------------------\n", + "0.0 \n", + " -38.32*pem_capacity \n", + " -38.32*pem_capacity \n", + " -38.32*pem_capacity \n", + " -38.32*pem_capacity \n", + " -38.32*pem_capacity \n", + " -38.32*pem_capacity \n", + " -38.32*pem_capacity \n", + " -38.32*pem_capacity \n", + " -38.32*pem_capacity \n", + " -38.32*pem_capacity \n", + " -38.32*pem_capacity \n", + " -38.32*pem_capacity \n", + " -38.32*pem_capacity \n", + " -38.32*pem_capacity \n", + " -38.32*pem_capacity \n", + " -38.32*pem_capacity \n", + " -38.32*pem_capacity \n", + " -38.32*pem_capacity \n", + " -38.32*pem_capacity \n", + " -38.32*pem_capacity \n", + "\n", + "==================================================\n", + "Cashflows for h2tank: \n", + "\n", + "Cap-----------------------------------------------\n", + "-1.946851199*tank_capacity \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " -1.946851199*tank_capacity \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + "\n", + "h2tank_amortize_Cap-------------------------------\n", + "0.0 \n", + " 0.27225890191918495*tank_capacity \n", + " 0.4566208579844221*tank_capacity \n", + " 0.3191345843905703*tank_capacity \n", + " 0.22303016242128534*tank_capacity \n", + " 0.1560521376015772*tank_capacity \n", + " 0.1525457871756174*tank_capacity \n", + " 0.149452754474372*tank_capacity \n", + " 0.07304734310998291*tank_capacity \n", + " 0.0 \n", + " 0.0 \n", + " 0.21935780762441065*tank_capacity \n", + " 0.3678974300453612*tank_capacity \n", + " 0.25712534016545235*tank_capacity \n", + " 0.17969442731893256*tank_capacity \n", + " 0.1257305253862581*tank_capacity \n", + " 0.12290547416927429*tank_capacity \n", + " 0.12041343123707592*tank_capacity \n", + " 0.05885392515889244*tank_capacity \n", + " 0.0 \n", + " 0.0 \n", + "\n", + "h2tank_depreciate_Cap-----------------------------\n", + "0.0 \n", + " -0.21780712153534795*tank_capacity \n", + " -0.3652966863875377*tank_capacity \n", + " -0.25530766751245626*tank_capacity \n", + " -0.1784241299370283*tank_capacity \n", + " -0.1248417100812618*tank_capacity \n", + " -0.12203662974049394*tank_capacity \n", + " -0.11956220357949762*tank_capacity \n", + " -0.05843787448798634*tank_capacity \n", + " 0.0 \n", + " 0.0 \n", + " -0.1754862460995285*tank_capacity \n", + " -0.29431794403628897*tank_capacity \n", + " -0.2057002721323619*tank_capacity \n", + " -0.14375554185514608*tank_capacity \n", + " -0.10058442030900648*tank_capacity \n", + " -0.09832437933541945*tank_capacity \n", + " -0.09633074498966075*tank_capacity \n", + " -0.04708314012711396*tank_capacity \n", + " 0.0 \n", + " 0.0 \n", + "\n", + "==================================================\n", + "Cashflows for h2turbine: \n", + "\n", + "Cap-----------------------------------------------\n", + "-0.947*h2_turbine_capacity \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + "\n", + "h2turbine_amortize_Cap----------------------------\n", + "0.0 \n", + " 0.04633797854850074*h2_turbine_capacity \n", + " 0.08616041576191126*h2_turbine_capacity \n", + " 0.07588700206071412*h2_turbine_capacity \n", + " 0.06688197782277157*h2_turbine_capacity \n", + " 0.05890724579238864*h2_turbine_capacity \n", + " 0.05182515750476848*h2_turbine_capacity \n", + " 0.04803100749583101*h2_turbine_capacity \n", + " 0.04700443072871586*h2_turbine_capacity \n", + " 0.0460777609560936*h2_turbine_capacity \n", + " 0.04501663195951887*h2_turbine_capacity \n", + " 0.044129150684766145*h2_turbine_capacity \n", + " 0.043112896413417305*h2_turbine_capacity \n", + " 0.04226294637047165*h2_turbine_capacity \n", + " 0.04128966908998219*h2_turbine_capacity \n", + " 0.040475663097906914*h2_turbine_capacity \n", + " 0.01977177266417274*h2_turbine_capacity \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + "\n", + "h2turbine_depreciate_Cap--------------------------\n", + "0.0 \n", + " -0.0370703828388006*h2_turbine_capacity \n", + " -0.06892833260952902*h2_turbine_capacity \n", + " -0.06070960164857131*h2_turbine_capacity \n", + " -0.05350558225821726*h2_turbine_capacity \n", + " -0.04712579663391091*h2_turbine_capacity \n", + " -0.04146012600381479*h2_turbine_capacity \n", + " -0.038424805996664806*h2_turbine_capacity \n", + " -0.03760354458297269*h2_turbine_capacity \n", + " -0.036862208764874886*h2_turbine_capacity \n", + " -0.036013305567615096*h2_turbine_capacity \n", + " -0.03530332054781292*h2_turbine_capacity \n", + " -0.03449031713073385*h2_turbine_capacity \n", + " -0.03381035709637732*h2_turbine_capacity \n", + " -0.03303173527198575*h2_turbine_capacity \n", + " -0.03238053047832554*h2_turbine_capacity \n", + " -0.015817418131338194*h2_turbine_capacity \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + " 0.0 \n", + "\n", + "FixedOM-------------------------------------------\n", + "0.0 \n", + " -0.005600000000000001*h2_turbine_capacity \n", + " -0.005600000000000001*h2_turbine_capacity \n", + " -0.005600000000000001*h2_turbine_capacity \n", + " -0.005600000000000001*h2_turbine_capacity \n", + " -0.005600000000000001*h2_turbine_capacity \n", + " -0.005600000000000001*h2_turbine_capacity \n", + " -0.005600000000000001*h2_turbine_capacity \n", + " -0.005600000000000001*h2_turbine_capacity \n", + " -0.005600000000000001*h2_turbine_capacity \n", + " -0.005600000000000001*h2_turbine_capacity \n", + " -0.005600000000000001*h2_turbine_capacity \n", + " -0.005600000000000001*h2_turbine_capacity \n", + " -0.005600000000000001*h2_turbine_capacity \n", + " -0.005600000000000001*h2_turbine_capacity \n", + " -0.005600000000000001*h2_turbine_capacity \n", + " -0.005600000000000001*h2_turbine_capacity \n", + " -0.005600000000000001*h2_turbine_capacity \n", + " -0.005600000000000001*h2_turbine_capacity \n", + " -0.005600000000000001*h2_turbine_capacity \n", + " -0.005600000000000001*h2_turbine_capacity \n", + "\n", + "==================================================\n", + "Cashflows for electricity_market: \n", + "\n", + "==================================================\n", + "Cashflows for h2_market: \n", + "\n" + ] + } + ], + "source": [ + "# Define the objective function\n", + "m.obj = Objective(expr=metrics['NPV'], sense=maximize)\n", + "\n", + "# Print out cashflows grouped by component \n", + "grouped_cfs = metrics['all_data']\n", + "# printable_cfs = ['Cap', 'FixedOM', 'Hourly'] # NOTE: Hourly cashflows are summed per year, so are lengthy\n", + "printable_cfs = ['Cap', 'FixedOM'] \n", + "\n", + "for comp in components.keys():\n", + " print(\"=\"*50)\n", + " print(f\"Cashflows for {comp}: \\n\")\n", + " comp_cfs = grouped_cfs[comp]\n", + "\n", + " for cf_name, cf in comp_cfs.items():\n", + " for print_cf_name in printable_cfs:\n", + " if print_cf_name not in cf_name:\n", + " continue\n", + " print(cf_name + \"-\"*(50-len(cf_name)))\n", + " cf_list = [f'{cf_} \\n' for cf_ in cf]\n", + " print(' '.join(cf_list))" + ] + }, + { + "cell_type": "code", + "execution_count": 59, "id": "d7355a37", "metadata": {}, "outputs": [ @@ -1878,188 +2110,98 @@ " inequality constraints with only upper bounds: 3840\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -4.3469995e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -5.3109827e+09 1.91e+05 2.05e+04 -1.0 2.80e+06 - 8.44e-04 8.91e-01f 1\n", - " 2 -5.4094953e+09 7.78e+03 1.22e+04 -1.0 5.00e+05 - 1.83e-03 9.90e-01f 1\n", - " 3 -5.4108505e+09 2.28e+02 5.69e+02 -1.0 9.99e+03 - 2.50e-01 9.71e-01f 1\n", - " 4 -5.4113522e+09 1.30e+02 4.14e+02 -1.0 3.32e+02 - 1.50e-01 4.22e-01f 1\n", - " 5 -5.4118454e+09 9.83e+01 1.99e+03 -1.0 7.09e+02 - 6.57e-02 3.65e-01f 1\n", - " 6 -5.4133498e+09 3.59e+01 1.96e+03 -1.0 8.46e+03 - 2.00e-03 6.21e-01f 1\n", - " 7 -5.4140889e+09 2.16e+01 9.45e+02 -1.0 2.14e+03 - 5.57e-02 3.99e-01f 1\n", - " 8 -5.4148836e+09 1.81e+01 4.79e+03 -1.0 9.17e+03 - 5.19e-02 1.60e-01f 1\n", - " 9 -5.4180881e+09 9.58e+00 1.96e+04 -1.0 8.28e+03 - 5.08e-02 4.71e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -5.4194716e+09 5.66e+00 1.84e+04 -1.0 6.66e+03 - 8.34e-02 4.10e-01f 1\n", - " 11 -5.4207192e+09 3.48e+00 2.41e+04 -1.0 6.53e+03 - 7.56e-02 3.85e-01f 1\n", - " 12 -5.4211037e+09 2.96e+00 2.27e+04 -1.0 5.77e+03 - 8.50e-02 1.50e-01f 1\n", - " 13 -5.4215908e+09 2.45e+00 2.21e+04 -1.0 6.19e+03 - 6.06e-02 1.70e-01f 1\n", - " 14 -5.4220592e+09 2.04e+00 2.10e+04 -1.0 5.67e+03 - 6.51e-02 1.68e-01f 1\n", - " 15 -5.4230452e+09 1.36e+00 2.00e+04 -1.0 5.53e+03 - 6.33e-02 3.34e-01f 1\n", - " 16 -5.4234306e+09 1.15e+00 1.82e+04 -1.0 4.77e+03 - 8.30e-02 1.57e-01f 1\n", - " 17 -5.4243003e+09 7.16e-01 1.57e+04 -1.0 5.15e+03 - 7.45e-02 3.75e-01f 1\n", - " 18 -5.4247750e+09 4.89e-01 1.40e+04 -1.0 4.70e+03 - 8.33e-02 3.17e-01f 1\n", - " 19 -5.4249399e+09 4.12e-01 1.12e+04 -1.0 3.70e+03 - 2.08e-01 1.57e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20 -5.4252085e+09 3.05e-01 1.01e+04 -1.0 4.10e+03 - 1.38e-02 2.60e-01f 1\n", - " 21 -5.4253702e+09 2.46e-01 7.30e+03 -1.0 3.64e+03 - 3.44e-01 1.91e-01f 1\n", - " 22 -5.4255479e+09 2.00e-01 5.93e+03 -1.0 2.59e+03 - 8.84e-03 1.91e-01f 1\n", - " 23 -5.4260698e+09 8.53e-02 5.93e+03 -1.0 3.99e+03 - 4.27e-02 5.72e-01f 1\n", - " 24 -5.4262360e+09 6.63e-02 5.10e+03 -1.0 3.22e+03 - 1.10e-01 2.23e-01f 1\n", - " 25 -5.4264430e+09 4.99e-02 5.50e+03 -1.0 3.54e+03 - 7.13e-02 2.47e-01f 1\n", - " 26 -5.4265513e+09 4.40e-02 5.06e+03 -1.0 3.12e+03 - 9.32e-02 1.19e-01f 1\n", - " 27 -5.4266874e+09 3.81e-02 4.78e+03 -1.0 3.26e+03 - 7.35e-02 1.34e-01f 1\n", - " 28 -5.4268618e+09 3.16e-02 4.48e+03 -1.0 3.12e+03 - 7.52e-02 1.70e-01f 1\n", - " 29 -5.4270470e+09 2.58e-02 4.18e+03 -1.0 3.01e+03 - 8.42e-02 1.84e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30 -5.4271927e+09 2.19e-02 3.80e+03 -1.0 2.90e+03 - 9.25e-02 1.50e-01f 1\n", - " 31 -5.4273357e+09 1.87e-02 3.47e+03 -1.0 2.67e+03 - 7.90e-02 1.46e-01f 1\n", - " 32 -5.4274826e+09 1.60e-02 3.27e+03 -1.0 2.78e+03 - 8.43e-02 1.46e-01f 1\n", - " 33 -5.4276293e+09 1.37e-02 3.29e+03 -1.0 2.83e+03 - 8.53e-02 1.41e-01f 1\n", - " 34 -5.4277566e+09 1.20e-02 3.19e+03 -1.0 3.01e+03 - 8.80e-02 1.24e-01f 1\n", - " 35 -5.4279783e+09 9.44e-03 3.59e+03 -1.0 3.21e+03 - 8.15e-02 2.15e-01f 1\n", - " 36 -5.4281393e+09 7.89e-03 3.47e+03 -1.0 3.35e+03 - 1.04e-01 1.64e-01f 1\n", - " 37 -5.4284436e+09 5.38e-03 4.01e+03 -1.0 3.60e+03 - 9.81e-02 3.18e-01f 1\n", - " 38 -5.4286426e+09 4.09e-03 3.83e+03 -1.0 3.75e+03 - 1.32e-01 2.39e-01f 1\n", - " 39 -5.4289050e+09 2.71e-03 3.92e+03 -1.0 4.05e+03 - 1.27e-01 3.38e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40 -5.4290325e+09 2.20e-03 3.38e+03 -1.0 4.26e+03 - 1.56e-01 1.87e-01f 1\n", - " 41 -5.4293360e+09 1.21e-03 3.52e+03 -1.0 4.68e+03 - 1.36e-01 4.51e-01f 1\n", - " 42 -5.4295341e+09 7.70e-04 3.00e+03 -1.0 4.69e+03 - 2.03e-01 3.64e-01f 1\n", - " 43 -5.4296654e+09 5.66e-04 2.38e+03 -1.0 5.00e+03 - 2.18e-01 2.65e-01f 1\n", - " 44 -5.4297836e+09 4.27e-04 1.86e+03 -1.0 5.40e+03 - 2.23e-01 2.45e-01f 1\n", - " 45 -5.4299155e+09 3.06e-04 1.36e+03 -1.0 5.67e+03 - 2.72e-01 2.83e-01f 1\n", - " 46 -5.4300348e+09 2.24e-04 1.05e+03 -1.0 5.79e+03 - 1.99e-01 2.69e-01f 1\n", - " 47 -5.4301009e+09 1.88e-04 3.93e+03 -1.0 9.21e+04 - 6.42e-03 1.60e-01f 1\n", - " 48 -5.4302006e+09 1.36e-04 2.19e+04 -1.0 1.09e+04 - 1.02e-01 2.78e-01f 1\n", - " 49 -5.4302336e+09 1.22e-04 2.68e+04 -1.0 1.21e+05 - 2.98e-02 9.84e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50 -5.4302567e+09 1.13e-04 2.53e+04 -1.0 2.72e+04 - 7.33e-02 7.82e-02f 1\n", - " 51 -5.4303058e+09 9.54e-05 3.27e+04 -1.0 1.34e+05 - 4.49e-02 1.54e-01f 1\n", - " 52 -5.4303299e+09 8.73e-05 3.18e+04 -1.0 8.96e+04 - 6.66e-02 8.52e-02f 1\n", - " 53 -5.4303705e+09 7.32e-05 3.25e+04 -1.0 7.60e+04 - 1.00e-01 1.61e-01f 1\n", - " 54 -5.4303969e+09 6.48e-05 3.13e+04 -1.0 1.26e+05 - 8.64e-02 1.15e-01f 1\n", - " 55 -5.4304227e+09 5.66e-05 2.96e+04 -1.0 2.66e+04 - 9.89e-02 1.26e-01f 1\n", - " 56 -5.4304482e+09 4.89e-05 3.03e+04 -1.0 2.40e+04 - 7.02e-02 1.35e-01f 1\n", - " 57 -5.4304752e+09 4.11e-05 2.93e+04 -1.0 1.13e+05 - 1.05e-01 1.59e-01f 1\n", - " 58 -5.4305006e+09 3.42e-05 2.87e+04 -1.0 9.87e+04 - 9.84e-02 1.69e-01f 1\n", - " 59 -5.4305278e+09 2.68e-05 3.18e+04 -1.0 1.16e+05 - 5.25e-02 2.16e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60 -5.4305412e+09 2.25e-05 3.08e+04 -1.0 7.50e+04 - 8.96e-02 1.63e-01f 1\n", - " 61 -5.4305611e+09 1.58e-05 4.84e+04 -1.0 6.01e+04 - 9.45e-02 2.94e-01f 1\n", - " 62 -5.4305711e+09 1.26e-05 4.16e+04 -1.0 7.00e+04 - 1.61e-01 2.03e-01f 1\n", - " 63 -5.4305815e+09 8.30e-06 3.03e+04 -1.0 1.62e+04 - 2.97e-01 3.43e-01f 1\n", - " 64 -5.4305922e+09 3.78e-06 3.65e+04 -1.0 1.77e+04 - 9.66e-02 5.45e-01f 1\n", - " 65 -5.4305935e+09 3.47e-06 3.17e+04 -1.0 9.70e+04 - 1.40e-01 8.04e-02f 1\n", - " 66 -5.4305957e+09 3.17e-06 2.92e+04 -1.0 9.53e+04 - 7.61e-02 8.75e-02f 1\n", - " 67 -5.4306026e+09 2.53e-06 2.54e+04 -1.0 8.04e+04 - 9.74e-02 2.00e-01f 1\n", - " 68 -5.4306056e+09 2.17e-06 2.15e+04 -1.0 6.80e+04 - 1.62e-01 1.43e-01f 1\n", - " 69 -5.4306085e+09 1.72e-06 1.76e+04 -1.0 6.46e+04 - 1.50e-01 2.09e-01f 1\n", + " 0 -2.3394242e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -2.8588623e+09 1.91e+05 2.05e+04 -1.0 2.80e+06 - 8.39e-04 8.91e-01f 1\n", + " 2 -2.9064505e+09 7.78e+03 1.23e+04 -1.0 5.00e+05 - 1.83e-03 9.90e-01f 1\n", + " 3 -2.9071370e+09 2.28e+02 5.69e+02 -1.0 9.99e+03 - 2.52e-01 9.71e-01h 1\n", + " 4 -2.9074957e+09 1.30e+02 4.14e+02 -1.0 2.82e+02 - 1.48e-01 4.22e-01f 1\n", + " 5 -2.9078452e+09 9.87e+01 1.37e+03 -1.0 7.15e+02 - 2.36e-01 3.63e-01f 1\n", + " 6 -2.9090615e+09 1.09e+00 2.06e+03 -1.0 4.05e+02 - 1.66e-01 1.00e+00f 1\n", + " 7 -2.9103930e+09 4.00e-01 3.33e+03 -1.0 4.44e+02 - 4.42e-01 1.00e+00f 1\n", + " 8 -2.9124388e+09 1.74e-01 1.15e+03 -1.0 1.16e+03 - 8.72e-03 1.00e+00f 1\n", + " 9 -2.9138719e+09 5.34e-03 3.51e+02 -1.0 4.36e+03 - 3.60e-01 7.80e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70 -5.4306110e+09 1.18e-06 1.31e+04 -1.0 5.41e+04 - 1.84e-01 3.14e-01f 1\n", - " 71 -5.4306120e+09 9.84e-07 1.09e+04 -1.0 5.91e+04 - 1.77e-01 1.65e-01f 1\n", - " 72 -5.4306122e+09 8.47e-07 9.50e+03 -1.0 5.11e+04 - 1.15e-01 1.39e-01f 1\n", - " 73 -5.4306140e+09 6.14e-07 7.42e+03 -1.0 4.30e+04 - 1.96e-01 2.75e-01f 1\n", - " 74 -5.4306140e+09 5.27e-07 7.30e+03 -1.0 3.81e+04 - 1.17e-01 1.42e-01f 1\n", - " 75 -5.4306125e+09 2.23e-07 1.56e+04 -1.0 3.43e+04 - 1.63e-01 5.77e-01f 1\n", - " 76 -5.4306069e+09 1.09e-07 8.25e+03 -1.0 3.01e+04 - 3.66e-01 5.12e-01f 1\n", - " 77 -5.4306041e+09 4.43e-08 7.46e+03 -1.0 3.31e+04 - 9.63e-02 5.93e-01f 1\n", - " 78 -5.4305996e+09 2.96e-08 5.28e+03 -1.0 2.75e+04 - 2.43e-01 3.33e-01f 1\n", - " 79 -5.4305873e+09 5.24e-10 6.19e+03 -1.0 1.80e+04 - 2.74e-01 1.00e+00f 1\n", + " 10 -2.9157709e+09 9.93e-04 2.32e+03 -1.0 2.25e+03 - 1.06e-02 8.56e-01f 1\n", + " 11 -2.9173413e+09 1.14e-04 1.91e+04 -1.0 1.76e+03 - 2.85e-01 8.61e-01f 1\n", + " 12 -2.9191220e+09 3.26e-05 9.90e+03 -1.0 2.31e+03 - 4.31e-02 9.33e-01f 1\n", + " 13 -2.9204510e+09 5.69e-06 1.62e+04 -1.0 1.29e+03 - 2.09e-01 9.12e-01f 1\n", + " 14 -2.9216317e+09 1.22e-06 1.12e+04 -1.0 9.70e+02 - 2.55e-01 9.33e-01f 1\n", + " 15 -2.9225792e+09 2.89e-07 8.59e+03 -1.0 1.16e+03 - 2.96e-01 9.33e-01f 1\n", + " 16 -2.9232953e+09 8.61e-08 6.12e+03 -1.0 1.60e+03 - 3.75e-01 9.47e-01f 1\n", + " 17 -2.9237583e+09 2.91e-08 5.24e+03 -1.0 2.42e+03 - 2.93e-01 9.26e-01f 1\n", + " 18 -2.9239976e+09 1.22e-08 4.07e+03 -1.0 3.15e+03 - 2.62e-01 9.74e-01f 1\n", + " 19 -2.9240563e+09 2.20e-10 3.18e+03 -1.0 3.74e+03 - 2.82e-01 7.54e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80 -5.4305823e+09 2.04e-10 2.67e+03 -1.0 1.48e+04 - 4.44e-01 6.26e-01f 1\n", - " 81 -5.4305765e+09 1.16e-10 1.26e+03 -1.0 1.98e+04 - 4.42e-01 8.47e-01f 1\n", - " 82 -5.4305706e+09 1.16e-10 2.52e+03 -1.0 1.51e+04 - 3.16e-01 1.00e+00f 1\n", - " 83 -5.4305673e+09 1.16e-10 3.84e+02 -1.0 9.45e+03 - 8.43e-01 1.00e+00f 1\n", - " 84 -5.4305652e+09 1.46e-10 1.40e+02 -1.0 5.21e+04 - 9.91e-01 1.00e+00f 1\n", - " 85 -5.4305648e+09 1.16e-10 1.12e+01 -1.0 1.92e+04 - 1.00e+00 1.00e+00f 1\n", - " 86 -5.4305648e+09 1.16e-10 9.01e-01 -1.0 3.83e+03 - 1.00e+00 1.00e+00f 1\n", - " 87 -5.4307682e+09 1.60e-10 9.16e+03 -1.7 1.22e+05 - 1.00e+00 7.85e-01f 1\n", - " 88 -5.4308254e+09 1.16e-10 4.89e+00 -1.7 3.11e+04 - 1.00e+00 1.00e+00f 1\n", - " 89 -5.4308254e+09 1.16e-10 4.94e-01 -1.7 1.78e+02 - 1.00e+00 1.00e+00f 1\n", + " 20 -2.9240717e+09 1.16e-10 1.38e+03 -1.0 4.34e+03 - 6.29e-01 7.88e-01f 1\n", + " 21 -2.9240489e+09 1.16e-10 7.31e+02 -1.0 6.51e+03 - 4.80e-01 6.05e-01f 1\n", + " 22 -2.9240394e+09 2.33e-10 7.33e+02 -1.0 5.95e+03 - 3.23e-01 1.93e-01f 1\n", + " 23 -2.9239994e+09 1.16e-10 1.53e+03 -1.0 6.10e+03 - 3.15e-01 8.05e-01f 1\n", + " 24 -2.9239917e+09 1.16e-10 5.83e+03 -1.0 2.90e+04 - 1.38e-01 3.69e-01f 1\n", + " 25 -2.9239906e+09 2.33e-10 4.91e+03 -1.0 3.59e+04 - 1.62e-01 1.63e-01f 1\n", + " 26 -2.9239877e+09 2.33e-10 2.08e+04 -1.0 2.75e+04 - 1.45e-01 3.65e-01f 1\n", + " 27 -2.9239818e+09 2.33e-10 1.76e+04 -1.0 2.26e+04 - 2.82e-01 5.62e-01f 1\n", + " 28 -2.9239704e+09 1.16e-10 4.76e+03 -1.0 1.64e+04 - 3.22e-01 1.00e+00f 1\n", + " 29 -2.9239663e+09 1.16e-10 3.98e+03 -1.0 1.18e+04 - 4.63e-01 1.00e+00f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90 -5.4308254e+09 1.16e-10 2.22e-03 -1.7 4.75e+00 - 1.00e+00 1.00e+00h 1\n", - " 91 -5.4308621e+09 2.33e-10 1.76e+04 -3.8 3.29e+04 - 1.00e+00 5.66e-01f 1\n", - " 92 -5.4308755e+09 1.16e-10 1.18e+04 -3.8 1.46e+04 - 1.00e+00 4.73e-01f 1\n", - " 93 -5.4308824e+09 1.16e-10 6.71e+03 -3.8 7.74e+03 - 1.00e+00 4.75e-01f 1\n", - " 94 -5.4308854e+09 2.33e-10 4.01e+03 -3.8 5.01e+03 - 1.47e-01 4.00e-01f 1\n", - " 95 -5.4308855e+09 2.33e-10 3.98e+03 -3.8 3.63e+03 - 2.76e-01 1.08e-02f 1\n", - " 96 -5.4308861e+09 2.33e-10 3.41e+03 -3.8 2.66e+03 - 1.44e-01 1.45e-01f 1\n", - " 97 -5.4308868e+09 2.33e-10 2.69e+03 -3.8 2.21e+03 - 1.01e-02 2.04e-01f 1\n", - " 98 -5.4308872e+09 2.33e-10 2.24e+03 -3.8 1.58e+03 - 3.60e-02 1.68e-01f 1\n", - " 99 -5.4308875e+09 2.33e-10 1.97e+03 -3.8 1.82e+03 - 2.91e-01 1.59e-01f 1\n", + " 30 -2.9239568e+09 1.16e-10 4.33e+03 -1.0 1.14e+04 - 3.49e-01 1.00e+00f 1\n", + " 31 -2.9239506e+09 1.16e-10 1.58e+03 -1.0 7.38e+03 - 5.95e-01 1.00e+00f 1\n", + " 32 -2.9239453e+09 1.16e-10 2.62e+02 -1.0 6.40e+03 - 7.56e-01 1.00e+00f 1\n", + " 33 -2.9239398e+09 1.16e-10 1.91e+01 -1.0 8.46e+03 - 9.90e-01 1.00e+00f 1\n", + " 34 -2.9239376e+09 1.16e-10 3.79e+00 -1.0 4.88e+03 - 1.00e+00 1.00e+00f 1\n", + " 35 -2.9239376e+09 1.16e-10 3.75e-01 -1.0 1.14e+03 - 1.00e+00 1.00e+00f 1\n", + " 36 -2.9241993e+09 1.40e-10 1.69e+01 -1.7 5.39e+04 - 1.00e+00 1.00e+00f 1\n", + " 37 -2.9242000e+09 1.16e-10 2.61e-02 -1.7 1.24e+03 - 1.00e+00 1.00e+00f 1\n", + " 38 -2.9242472e+09 1.16e-10 3.00e+03 -3.8 1.40e+04 - 1.00e+00 7.25e-01f 1\n", + " 39 -2.9242574e+09 1.16e-10 8.14e+03 -3.8 3.94e+03 - 1.00e+00 5.75e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100 -5.4308877e+09 3.49e-10 1.75e+03 -3.8 1.75e+03 - 1.14e-01 1.11e-01f 1\n", - " 101 -5.4308880e+09 3.49e-10 1.49e+03 -3.8 1.55e+03 - 1.70e-01 1.48e-01f 1\n", - " 102 -5.4308881e+09 3.49e-10 1.38e+03 -3.8 1.25e+03 - 1.88e-01 5.97e-02f 1\n", - " 103 -5.4308883e+09 3.49e-10 1.14e+03 -3.8 1.88e+03 - 2.33e-01 1.68e-01f 1\n", - " 104 -5.4308883e+09 3.49e-10 1.05e+03 -3.8 1.24e+03 - 5.40e-02 8.42e-02f 1\n", - " 105 -5.4308885e+09 3.49e-10 8.96e+02 -3.8 9.81e+02 - 1.33e-01 1.48e-01f 1\n", - " 106 -5.4308886e+09 3.49e-10 7.26e+02 -3.8 6.28e+02 - 1.66e-01 1.91e-01f 1\n", - " 107 -5.4308886e+09 3.49e-10 7.10e+02 -3.8 9.92e+02 - 1.92e-01 3.93e-02f 1\n", - " 108 -5.4308886e+09 4.66e-10 6.48e+02 -3.8 2.70e+02 - 7.65e-02 8.58e-02f 1\n", - " 109 -5.4308886e+09 4.66e-10 6.32e+02 -3.8 2.10e+02 - 2.59e-01 3.05e-02f 1\n", + " 40 -2.9242603e+09 2.33e-10 4.83e+03 -3.8 1.66e+03 - 1.00e+00 4.04e-01f 1\n", + " 41 -2.9242614e+09 2.33e-10 3.37e+03 -3.8 9.49e+02 - 5.88e-01 3.02e-01f 1\n", + " 42 -2.9242619e+09 2.33e-10 2.67e+03 -3.8 6.44e+02 - 1.85e-01 2.08e-01f 1\n", + " 43 -2.9242621e+09 2.33e-10 2.26e+03 -3.8 5.73e+02 - 1.96e-01 1.56e-01f 1\n", + " 44 -2.9242623e+09 2.33e-10 1.90e+03 -3.8 7.00e+02 - 1.62e-01 1.59e-01f 1\n", + " 45 -2.9242624e+09 2.33e-10 1.71e+03 -3.8 6.13e+02 - 2.64e-01 1.01e-01f 1\n", + " 46 -2.9242625e+09 2.33e-10 1.43e+03 -3.8 4.81e+02 - 1.72e-01 1.62e-01f 1\n", + " 47 -2.9242625e+09 2.33e-10 1.29e+03 -3.8 2.05e+02 - 5.45e-02 9.99e-02f 1\n", + " 48 -2.9242626e+09 3.49e-10 1.14e+03 -3.8 1.93e+02 - 2.75e-01 1.41e-01f 1\n", + " 49 -2.9242627e+09 3.49e-10 9.68e+02 -3.8 1.71e+02 - 1.51e-01 1.52e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110 -5.4308887e+09 4.66e-10 5.61e+02 -3.8 1.95e+02 - 6.97e-02 1.14e-01f 1\n", - " 111 -5.4308888e+09 3.49e-10 3.45e+02 -3.8 7.42e+02 - 4.14e-02 4.03e-01f 1\n", - " 112 -5.4308888e+09 2.33e-10 3.27e+02 -3.8 2.24e+02 - 6.08e-02 3.47e-01f 1\n", - " 113 -5.4308889e+09 2.33e-10 2.98e+02 -3.8 9.62e+01 - 1.18e-01 1.68e-01f 1\n", - " 114 -5.4308889e+09 2.33e-10 2.24e+02 -3.8 7.11e+01 - 2.42e-01 1.45e-01f 1\n", - " 115 -5.4308889e+09 3.49e-10 1.72e+02 -3.8 6.46e+01 - 2.26e-01 6.15e-02f 1\n", - " 116 -5.4308889e+09 2.33e-10 1.57e+02 -3.8 6.07e+01 - 8.90e-02 3.90e-01f 1\n", - " 117 -5.4308889e+09 2.33e-10 1.13e+02 -3.8 1.59e+02 - 3.32e-01 2.53e-01f 1\n", - " 118 -5.4308889e+09 2.33e-10 5.60e+01 -3.8 4.91e+01 - 4.22e-01 6.10e-01f 1\n", - " 119 -5.4308889e+09 1.16e-10 3.10e+01 -3.8 4.73e+01 - 6.32e-01 1.00e+00f 1\n", + " 50 -2.9242628e+09 2.33e-10 5.55e+02 -3.8 1.59e+02 - 1.36e-01 4.08e-01f 1\n", + " 51 -2.9242628e+09 2.33e-10 4.27e+02 -3.8 9.08e+01 - 9.33e-02 2.31e-01f 1\n", + " 52 -2.9242629e+09 2.33e-10 3.05e+02 -3.8 6.88e+01 - 5.22e-01 3.42e-01f 1\n", + " 53 -2.9242629e+09 2.33e-10 2.37e+02 -3.8 2.71e+01 - 2.43e-01 2.22e-01f 1\n", + " 54 -2.9242629e+09 2.33e-10 2.53e+02 -3.8 2.11e+01 - 1.00e+00 3.52e-01f 1\n", + " 55 -2.9242629e+09 1.16e-10 3.78e+01 -3.8 1.28e+01 - 6.21e-01 1.00e+00f 1\n", + " 56 -2.9242629e+09 1.16e-10 8.29e-05 -3.8 3.54e+00 - 1.00e+00 1.00e+00f 1\n", + " 57 -2.9242630e+09 2.33e-10 7.56e+01 -5.7 4.80e+01 - 2.72e-01 8.63e-02f 1\n", + " 58 -2.9242630e+09 2.33e-10 8.17e+01 -5.7 3.81e+01 - 1.53e-01 9.70e-02f 1\n", + " 59 -2.9242630e+09 2.33e-10 1.07e+02 -5.7 3.70e+01 - 2.88e-01 1.83e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 120 -5.4308889e+09 1.16e-10 2.25e-03 -3.8 1.27e+01 - 1.00e+00 1.00e+00f 1\n", - " 121 -5.4308889e+09 1.16e-10 7.25e-05 -3.8 2.53e+00 - 1.00e+00 1.00e+00h 1\n", - " 122 -5.4308889e+09 2.33e-10 1.81e+01 -5.7 5.27e+02 - 7.90e-02 1.09e-01f 1\n", - " 123 -5.4308889e+09 2.33e-10 6.12e+01 -5.7 4.19e+02 - 2.77e-01 7.35e-02f 1\n", - " 124 -5.4308890e+09 2.33e-10 2.76e+01 -5.7 4.54e+02 - 1.50e-02 1.45e-01f 1\n", - " 125 -5.4308890e+09 3.49e-10 3.73e+01 -5.7 2.43e+02 - 1.56e-01 8.28e-02f 1\n", - " 126 -5.4308890e+09 3.49e-10 8.70e+01 -5.7 7.59e+01 - 1.72e-01 2.01e-02f 1\n", - " 127 -5.4308890e+09 2.33e-10 3.18e+01 -5.7 7.41e+01 - 5.14e-02 1.99e-01f 1\n", - " 128 -5.4308890e+09 2.33e-10 2.48e+01 -5.7 6.21e+01 - 2.19e-01 2.19e-01f 1\n", - " 129 -5.4308890e+09 2.33e-10 2.16e+01 -5.7 5.08e+01 - 2.18e-01 2.00e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 130 -5.4308890e+09 3.49e-10 1.78e+01 -5.7 1.53e+02 - 1.58e-01 1.62e-01f 1\n", - " 131 -5.4308890e+09 3.49e-10 1.74e+01 -5.7 5.81e+01 - 3.58e-01 2.81e-01f 1\n", - " 132 -5.4308890e+09 2.33e-10 8.20e+00 -5.7 1.67e+01 - 2.57e-01 3.47e-01f 1\n", - " 133 -5.4308890e+09 2.33e-10 5.97e+00 -5.7 1.04e+01 - 3.28e-01 3.12e-01f 1\n", - " 134 -5.4308890e+09 1.16e-10 3.04e+00 -5.7 7.01e+00 - 5.30e-01 5.19e-01f 1\n", - " 135 -5.4308890e+09 2.33e-10 2.94e+00 -5.7 3.59e+00 - 4.14e-02 2.45e-01f 1\n", - " 136 -5.4308890e+09 2.33e-10 1.98e+00 -5.7 2.69e+00 - 3.70e-01 3.81e-01f 1\n", - " 137 -5.4308890e+09 2.33e-10 2.32e+00 -5.7 2.83e+00 - 2.00e-01 2.51e-01f 1\n", - " 138 -5.4308890e+09 2.33e-10 1.94e+00 -5.7 1.21e+00 - 2.28e-01 2.57e-01f 1\n", - " 139 -5.4308890e+09 2.33e-10 1.51e+00 -5.7 1.64e+00 - 5.44e-01 1.79e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 140 -5.4308890e+09 1.16e-10 1.01e+00 -5.7 7.38e-01 - 9.17e-01 6.85e-01f 1\n", - " 141 -5.4308890e+09 1.16e-10 3.98e-01 -5.7 2.51e-01 - 1.00e+00 6.69e-01f 1\n", - " 142 -5.4308890e+09 1.16e-10 3.31e-07 -5.7 7.65e-02 - 1.00e+00 1.00e+00f 1\n", - " 143 -5.4308890e+09 1.16e-10 5.26e-01 -7.0 9.66e-01 - 2.77e-01 3.99e-01f 1\n", - " 144 -5.4308890e+09 1.16e-10 1.50e+00 -7.0 1.36e+00 - 1.62e-01 5.68e-01f 1\n", - " 145 -5.4308890e+09 2.33e-10 3.14e-01 -7.0 8.54e-01 - 7.49e-01 1.48e-01f 1\n", - " 146 -5.4308890e+09 1.16e-10 3.61e-06 -7.0 4.66e-01 - 1.00e+00 1.00e+00f 1\n", - " 147 -5.4308890e+09 1.16e-10 2.48e-09 -7.0 3.35e-02 - 1.00e+00 1.00e+00h 1\n", + " 60 -2.9242630e+09 2.33e-10 6.82e+01 -5.7 2.73e+01 - 1.28e-01 2.24e-01f 1\n", + " 61 -2.9242631e+09 1.16e-10 1.37e+02 -5.7 2.22e+01 - 2.93e-01 8.28e-01f 1\n", + " 62 -2.9242631e+09 1.16e-10 4.65e+00 -5.7 1.78e+00 - 9.29e-01 1.00e+00f 1\n", + " 63 -2.9242631e+09 1.16e-10 1.95e-06 -5.7 2.44e-01 - 1.00e+00 1.00e+00f 1\n", + " 64 -2.9242631e+09 1.16e-10 1.96e-05 -7.0 3.68e-01 - 1.00e+00 1.00e+00f 1\n", + " 65 -2.9242631e+09 1.16e-10 4.33e-09 -7.0 1.86e-03 - 1.00e+00 1.00e+00h 1\n", "\n", - "Number of Iterations....: 147\n", + "Number of Iterations....: 65\n", "\n", " (scaled) (unscaled)\n", - "Objective...............: -6.6380547521861672e+07 -5.4308890322517576e+09\n", - "Dual infeasibility......: 2.4806845104783811e-09 2.0295587793994776e-07\n", + "Objective...............: -3.5742616356175713e+07 -2.9242630619882684e+09\n", + "Dual infeasibility......: 4.3282692556504854e-09 3.5411503680958873e-07\n", "Constraint violation....: 1.1641532182693481e-10 1.1641532182693481e-10\n", - "Complementarity.........: 9.5779257648717513e-08 7.8361287952667804e-06\n", - "Overall NLP error.......: 9.5779257648717513e-08 7.8361287952667804e-06\n", + "Complementarity.........: 9.1103223015435343e-08 7.4535615198769848e-06\n", + "Overall NLP error.......: 9.1103223015435343e-08 7.4535615198769848e-06\n", "\n", "\n", - "Number of objective function evaluations = 148\n", - "Number of objective gradient evaluations = 148\n", - "Number of equality constraint evaluations = 148\n", - "Number of inequality constraint evaluations = 148\n", - "Number of equality constraint Jacobian evaluations = 148\n", - "Number of inequality constraint Jacobian evaluations = 148\n", - "Number of Lagrangian Hessian evaluations = 147\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 114.339\n", - "Total CPU secs in NLP function evaluations = 49.773\n", + "Number of objective function evaluations = 66\n", + "Number of objective gradient evaluations = 66\n", + "Number of equality constraint evaluations = 66\n", + "Number of inequality constraint evaluations = 66\n", + "Number of equality constraint Jacobian evaluations = 66\n", + "Number of inequality constraint Jacobian evaluations = 66\n", + "Number of Lagrangian Hessian evaluations = 65\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 30.893\n", + "Total CPU secs in NLP function evaluations = 15.194\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -2067,18 +2209,15 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212120, 'Number of variables': 211163, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 167.9855513572693}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212120, 'Number of variables': 211163, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 48.36436223983765}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, - "execution_count": 14, + "execution_count": 59, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# Define the objective function\n", - "m.obj = Objective(expr=metrics['NPV'], sense=maximize)\n", - "\n", "#=======================================\n", "# Define the solver object. Using IPOPT\n", "solver = get_solver()\n", @@ -2100,7 +2239,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 60, "id": "scientific-nudist", "metadata": {}, "outputs": [], @@ -2147,7 +2286,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 61, "id": "disabled-invitation", "metadata": {}, "outputs": [ @@ -2155,14 +2294,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "Optimal PEM capacity : 0.0010739346609499154 MW\n", - "Optimal tank capacity : 0.023860999534817753 kg\n", - "Optimal turbine capacity: 9.077074998987037e-05 MW\n" + "Optimal PEM capacity : 0.0007913403429428723 MW\n", + "Optimal tank capacity : 8.043560634008343e-06 kg\n", + "Optimal turbine capacity: 9.076514780189174e-05 MW\n" ] }, { "data": { - "image/png": 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Fx0PCUFMn8U0IB7kDaAtMAq4CvCqpkwh8CnwIvEStkjpZ0kQI0eCWbz3NPcPaWhM6AJ1Ww6ShbVi29ZQTeyaEEI0oEXW3iGcAf9SE7QrUteqGAMFAb9Q7dL8AE2rXvHxFFkI0uGKzhSMpObQL8bYpP5KSg8WiVPEuIYRwMXrgoZLXVtRtwk4AJiAemAqMoOLWYXaSpE4I0eBuvCSG6f/dzcnzecTH+AOw82QG76w5wo2XxDi3c0II4QyXlLwcSJI6IUSDe/qqLoT4uPPe2qOkZBcAEOrjzr3D2nLP0LZO7p0QQrgGSeqEaME+2XCcd9ccJTWngC4Rvswe25WeJXfSyisyW3j7jyP8d/tpzmXl0zbYiyf/0ZnhnUJrvI5Wq2Hype2YfGk7svOLANvZsUIIIepPJkoI0UJ9v+ss8374m4dHduDHB4cQF+HDhMWbSMspqLT+v385wOebTzB7bFd+m3op4wfEct+Sbew9k1mr6/p46CWhE0KIBiB36oRood5fd4xb+sVwU8kzbc+P686q/Sks23qK+4e3r1D/6+1neOCy9ozorN6ZuyMolvWH0nh/7VFev6VXhfpXv7GWzycNwM9Tz1UL1lLdpgM/PjTUMR9KCCFaMEnqhHAh2dnZZGVlWY/d3d1xd3evUK+w2MLeM5ncP7ydtUyr1TC4fTDbT2RU2nah2YK7m+3NfQ+9li3HL1Ra/4q4MAwl9Ud1DavtRxFCiLp5p+R1vOS4K/Ac8I+S43zgUeBLoAAYDbwNlA1TJ4F/AX8A3sBEIAHbrGk1MA3YB8SgLlNyp2M/Sm1JUieEC4mLi7M5njlzJrNmzapQ70JeIWaLQrC3bcIX4u3OkdTcStse1iGE99ceo1+bIGIDPVl/JI2f953DYqm8L4+M7AioiwwPbBtE5whf/Iwy7CqEaGDRwItAB0ABPgauAXagJnhTgR+B5YAf8ABwHbC+5P1m1LXkwoG/gCTU9eL0wAsldY6V1JkMfAb8jrqgcARqkmiv30teKUD5WPpBLdopIUmdEC4kMTGRqKgo63Fld+nqauaYOJ5csYfLX1mNRqMhNtCTG/vE1Lh4sE6r4Y4PNvP7tEslqRNCNLwx5Y6fR71ztxE14VsMfA5cVnL+Q6ALF7fw+gV1keDfUO/e9QTmAtOBWYABWAi0AV4paaML6ppzr2F/UjcbmIO6rEkEUM0jKvaqU1KnFBVRnJaGxZSPW2AAOn//+vdECFFvPj4++Pr61lgvwNOATqupMCkiNaeAEO/KE8Egb3fem3AJ+UVmMvKKCPN158Wf99MqsObtozqF+XDyfB4xdtR1NolvQrgQM+oduVxgILANKAJGlqnTGWgFbEBN6jYA3bEdjh2NOhy7D+hVUqdsG6V1HqlF3xYCH6FuHeYgdid15pxcsr7/jqwfV2LaswelqEjdpVujwS08DO/Bg/G/6SaM3bs7rndCiAZhcNPSLcqPvw6nMbprOAAWi8Jfh9OZMCi22vd66HWE++koMlv4ee85ru4eUeP1Hh3Vked//JtHR3Wke5QfRoPO5ryzZ8NKfBOiebD3uWH2oCZx+ajPxH0NxAE7Ue+0+ZerHwacK/n9OWwTOsoc11QnC3V3CKMdH6YQGGRHvVqwK6lL//Aj0hcuRN+qFd4jhhN03324hYai9XDHnJlJwaFD5G3dxsm7J2Hs0YPwZ57G0Lq1Y3sqhHCoSUPa8OjyXXSP9qdnjB+L1x0nr7CYG/uos2GnLd1JmJ8H06/sDMCOkxdIzsonLsKPc1n5vP7bQSyKwn2XtqvuMgD886Mt6jU/2WozwqCgjjgcTbjawZ/OfhLfhGg+7H1umE6oCVwm8BXqRIc1Dd27WpqEOgz8rOOatCupy9+zh9hPl+DeoUOl5409euB//fVYCgvJXLGCvG3bJOjVg6IoKCZTlec1RiOa6taHEE1WU/qzHRMfyfncQl779SCp2QV0ifTl47v6EeKjfus9k2Gy6UtBsYV//3KQk+fz8DLoGNEplNdu7mnXc3Jf3DOgwT5HfUl8a1xN6d+AcLyG/vO1+7lhA1C6MlMfYAuwALgZ9Q5ZBrZ365JRJ0ZQ8uvmcu0llzlX+mtyJXV8se8uHah3ERehPrvXA3UiRlmv2tlOGXYldVGvvlJzJUBrMBBwyy2174WwUhSFE7eNx7RjR5V1jL17E/vZpxL4mpmm+Gc7cVBrJg5qXem5pfcNtDke0DaI36ZdWqfrDGgbVKf3NQaJb42nKf4bEI7TGH++9j43XIEFdfmSPqjJ0+/A9SXnDqAuYVIa8gaiTq5IAUo3zPkVNWGLK1NnZblr/FqmDXvsRp2EAbC33Lk6/vWX2a9NjGIyVfsPAsC0fTuKyYTGs+k/dC4uasl/tn8nZVVartGAu5uOSH8P3N10ldYRrqMl/xtoCZrMn+8M1DXpWgHZqEOcq4H/oS5hcjfq+nKBqInag6jJWOmAwijU5O0OYD7q83PPAFOA0huDk4H/AE8AdwGrgGWoS6XY6486fLYa1Dqps+Tlkfbee+Rt2Ejx+fOUX6Sq/W+/OqxzLV2H9evQGi/ex7WYTBwaPMSJPRKO0tL+bK96Y221XzzddFr+r0cEL1zbHQ+985I7iW+Np6X9G2hpnPrnm4K6rlwSahLXAzWhu6Lk/Guom6Rej+3iw6V0wA+os10HAl6oz+TNKVOnDWoCNxV1WDcaeJ/arVFX1umSX6Pr+P4StU7qkp55lrwtW/C7ZixuISFUu/ePqBet0YhWvq26pJb2Z/vu7X148ef93DesLfEx/gDsOpXBe2uP8fDlHTBbFF76eT+v/HKAp6+Oq76xBiTxrfG0tH8DLY1T/3wX13DeA3ir5FWVWCoOr5Y3HHVB47qyAPNQ17rLKSnzQd3t4mnUxLOWap3U5axdS8y7C/Hs3bv2VxNCtEhv/XGYmWO6cmnHEGtZ53Bfwv2MvPrLAb59YAhGg47nf/zbqUmdxDchRKN5GjUBfREYXFK2DnWB43zU5/pqqdZJnc7XF52fX+2vJIRosfafyybKv+KUsCh/I/vPZQMQF+FLSnZ+Y3fNhsQ3IUSj+Rh1yHZsmbIeQBRwP3VK6mp9cy/k4YdIfeNNLNVMWRZCiLLahXjzzuojFBZffEatyGzhndVHaBfiDUByVn6FvWgbm8Q3IUSjOY+6m0V5nUvO1YFdd+qOXnudzfTaohMnOTR4CPqoKNDbNtF2xYq69UQ0O7LelLDX3HFdmfTxVgYmpNA5wgeAA+eyMVsUFt/ZF4CT5/O4Y0D1u1k0BIlvojIS30SDi0edQftGufL/lJyrA7uSOp/LL69b68JlyXpTojb6xAaydvplfLPjDMfScgG4qnsE1/SMwttdDUPX9a7ntK86kvgmypP4JhrFfOBq1MWHS9e32wCcouZJGlWwK6kLeWBK3VoXLqvJrEckmg1vdzdud8KduJpIfBPlSXwTjeJS4CDqLNz9JWXXoT5PF1m3Ju2eKHF2+pN4DhyAV79+6CPreDXhkmS9KdHcSXwTVZH4JhpUJHWaEFEVu5O6orNnOTdzFkpREfqoKDz798Orf388+/dHHxpacwPCZcl6U6K5k/gmqiLxTTjUbqAb6jTV3TXU7VH75u1O6mKXfIKlsBDT9h3kbd5M3ubNJH33PUpxMYbYWDUIDhiA75VX1r4XQjRBVT0oLTMjXY/EN9HSSHxzkp6o246FlvxeAyiV1NMA5to3X6t16rQGA14D+uM1oD8AloICTDt2kPPnWjKWLSNj2XIJesIl2POgtHAtEt9ESyHxzYmOASFlfu9gtV58GEApLCRv507yNm8hb9MmTLt34xYais+oUY7unxBOYc+D0sbevdEYKy6oK6q253Qmh1PVxYY7hPrQLarpLfQr8U24OolvTlR2rtgJYBAVM7Fi4K9yde1kd1KXt2ULuZs3k7dpM6bdu9FHRODZty/+N91E5Mvz0YeH1/7qZaQteo/UV18lYMIdhD/1FKB+U0556SWyflyJpagI78GDCZ/5HG7Bwdb3FZ09S9Ls2eRt2ozW0xO/ceMInTYVjVud8lUhKij/oHQpWafKfmk5BTz4+Q42HkvH10MPQFZ+EQPbBvHmrb0IcvKiww0d30BinGiaJL450QggCXUotqzMknMNOfx6YsJE9BERBN0ziahXX7EJOvVl2rOHjKVLce/UyaY8OSGBnDV/ErXgdbTePiTPncvpBx+i9RefA6CYzZy6bzJuIcG0/uJzilNTOTv9STRuboROm+qw/omWTR6Urr+Z3+0jt7CYX6cOo32ouvjwoeRsHl2+i1nfJ/Lmrb2c2r+GjG8gMU40XRLfnEjBZuFzq3TAq25N2r1NWNCku9GFBJP8QgIn77qbc3PnkfW/Xyi+cKFuVy5hyc3l7GOPEzF3DjpfX2u5OTubjP+uIGz6dLwGDMDYrSsRCS9g2rED086dAOSuX0/BkSNEzp+PR5cueA8bRsjDD3Hh889RCgvr1S8hhOP8eSCVudd0syZ0AB3CfJhzTTdWH0hxYs9UDRXfQGKcEKKc60peGuDOMsfXAdcAo1GHZevA7qQu9NFHabN0KR03biD0sUfRGj1IX7yYQ8Mu5eiYMZybM4esn/9X6w6cmzMX7+GX4jXI9hPk79sHRUV4DRpoLXNv2xa3yAjySgKeaedO3Dt2tPlW7TVkCJacHAoOH67ymgUFBWRlZVlf2dnZte63EMJ+FkXBTVfxK6mbVoNS2cyvRtZQ8Q0aP8ZJfBOiifMreSmAT5ljPyAcuBf4tG5N1/qhDK2XF97DhuE9bBgA5owM0j/6iAuffsaFL5fie+U+u9vK/PFH8hMTaf3V8grnilPT0Oj1Nt9sAdyCgjGnpVnruAUFlTuvHheX1KlMQkICs2fPtrufQoj6GdgumNklw6xhvh4AnMvMZ+4PiQxqF1TDuxuPI+MbOCfGSXwToon7sOTX1sDjgANHv2ud1CkWC/l79qgPFW/egmn7dix5eegjIvC54gq72ylKSiL5hQRafbAYrXvjPiQ9Y8YMpk2bZj0+c+YMcXFxjdoHIVqSOdd0ZdLHWxny0ioi/NSHspMyTXQM8+H1W3o6t3NlOCq+gfNinMQ3IZqJCcAZoEO58kOAHjXpqyW7k7r0998nd/NmTNt3YMnNxS0sDM9+fQl7agae/ftjiK7dZtz5+/ZhTk/n2HXXXyw0m8nbupULn31Oq/ffQykqwpyVZfNNtjg9DV3JUIRbSDCmPXts2i1OT1fPVfOgs7u7O+5lgmxWVlat+i6EqJ1IfyM/PjSEdYfTOJKSA0D7UB+GdHDshIS6cnR8A+fFOIlvQjQTdwJ3UTGp2wS8D6yufZN2J3XnP/4Ez379CH3icbz698cQW7+NuT0HDKTNd9/alCU99TSGtm0ImjQJfUQE6PXkbtiI72h1faiCo8coPpuEZ8+eABh79iRt4bsUp6dbhyRy1/+F1tsbQ/v29eqfEMJx/rvtNP8XH8HQDiEM7RBiLS8stvD9rrNc36f2SZMjOTq+gcQ4IUQNdgCDKykfADxQtybtTuo6rP2zbleogs7bC13HjjZlWqMRnb8/HiXl/tdfR/JLL6Lz80Pr7U3yvHkYe/bEWBLwvAYPxr1dO84+MZ3Qxx+jODWN1AULCLjtNrQGg0P7K4Qr+mTDcd5dc5TUnAK6RPgye2xXesb4V1l/8bpjfLbxBGcyTAR6GfhHtwieuLITHnpdtdd5/KtdXNopBHdv23q5BcU8/tUupyd1jo5vIDFOCFEDDVDZPKZM6rRGHdQiqSs6e9auevrIyLr1pBJhM2ag0Wo5/fDDKIWFeA8ZTPhzz1nPa3Q6Yha+Q9Ls2Ry/5Va0RiN+48YR8tCDDuuDEK7q+11nmffD38y7thu9Yvz5YP0xJizexKrHhhNcyWLA3+48w0s/7+flG3rQu1UAx9JyeWz5LjQaePb/qn9mq6rlmJIy8/EpWYzYmZwR30BinBAt2jAgAfgCKP2+ay4pG1K3Ju1O6g6PLPOQcOkaBGVXm1YU0Gjokli72WFlxS75xOZY6+5O+HPP2QS58vRRUbRatKjO1xSipXp/3TFu6RfDTZfEAPD8uO6s2p/Csq2nuH94xaG9bScucElsANf0jAIgJtCTsfGR7DyVUeU1rlqwFo1GTejGv78JnfZizDBbFE5fMHFpx5Aq399YGiO+gcQ4IUQZL6Emdp2AoSVla4EsYFXdmrR/9qtGgz4sDL9rr8V7xAg0btUPtwghGl92drbNg/HlH5ovVVhsYe+ZTO4f3s5aptVqGNw+mO0nMiptu09sAF/vOMPOUxn0jPHnZHoefxxI4breVQ+djuoaBkBiUhbDOobgabgYN/Q6LdEBRv7RLaK2H9PxJL4JIRpbHLAb+A+wCzCizoh9AAisW5P2P1O3+g8yvvmGzBVfc2HpUvzGjMH/hutxb9eu5jcLIRpF+aUrZs6cyaxZsyrUu5BXiNmiVBhmDfF250hqbqVtX9MzivO5hdy48C8UBYotCuP7t2LKiKof2H9kpPrsWHSAJ//XI6LGZ++cReKbEMIpIoEXHNec3UmdW0gIwffcQ/A995C3bRsZK1Zw/KabMbRvh//11+N/ww1otHZvUCGEaACJiYlERUVZjyu7S1dXG46k89YfR5h7TTd6tvLneFoec77fxxu/H+Khy8vPybd1g5MnQtRE4psQotHVND9rWO2brPXiwwCeffrg2acPxVOncubRxzg3aza+o0ah8/evS3NCCAfx8fHBt9wOBZUJ8DSg02pIyymwKU/NKSCkkkkSAK/+eoDrekdxS79WAHQO98VUVMyMFXt4YER7tNrKpkI0PxLfhBCNYnglZWXDaB1mwNbpq2fe9h2cfeYZjlz5Dyx5eYQ/9yxaO/4jEUI0DQY3Ld2i/Pjr8MWtpiwWhb8Op9M71r/S95iKzDZzBwC0JQVNYPtWh5H4JoRoFBfKvVKAn4G+wC91a9L+JU1SUsj89lsyV3yNOSsLv//7P2I//8y63pIQonmZNKQNjy7fRfdof3rG+LF43XHyCou5sY86G3ba0p2E+Xkw/crOAFzeOYzF647RNdKPXjH+HE/P5dVfD3J5lzCbWa3NkcQ3IUSj86uk7ArAAEwDttW+SfuXNLnscvShofiNG4f3ZZeh0buBopB/4IBNPY9OnWrfCyFEoxsTH8n53EJe+/UgqdkFdIn05eO7+hHiow6/nskwoSlza+7By9qj0cArvxzgXGY+QV4GLu8SxmOjm/+/eYlvQogmIww4UGOtStn/TJ3ZTFFSEmnvvEPawoVqmVJu0MUB6zgJ16coCorJVOV5jdFok0yIhjNxUGsmDmpd6bml9w20OXbTaXlkZEfrjNbaMFsUvtp2ivWH00nPLcBisT3/xb0Dat2mQ0l8Ew4i8U3YbXe5YwVIAl4EetatSbuTuva//Vq3KwhRhqIonLhtPKYdO6qsY+zdm9jPPpXA50Jmf7+Pr7adZkTnUDqG+aCpdH8J55H4JhxB4puolZ6oEyPKP5Q8APigbk3andTlbtyI92WX4RYQULcrCQEoJlO1AQ/AtH07ismExtOzkXolGtr3u87y1m29GdE51NldqZTEN+EIEt9ErRwrd6wFQgCPujdpd1KX+d33nJs9B4+4OLwvvwyfyy6ThTlFvXRYvw6t0Wg9tphMHBpcxw3vRJOm12mJDWq6/4lJfBOOJvHNiRKAFcB+1F0aBqFuyVX2kdh84FHgS6AAGA28jfo8W6mTwL+APwBvYGJJ22Uzp9Wokxr2ATHAM8CddvYz1u5PZDe7k7rYjz/CnJlJzpo1ZK/6g/SF76ILDsJnxGX4XH4Zxj59ZHFOUStaoxGtfFttEe4Z2pYP1x9nzjVdm+Swk8Q34WgS35xoDTAFdWmQYuApYBSQCHiV1JkK/AgsR52F+gBwHbC+5LwZuBoIB/5CfdZtAqDn4g4Qx0rqTAY+A34HJgERqEliZd6oxed4qBZ1S9Rq8WGdnx9+Y8fiN3YsSmEhuZs2kb1qFWcefwIlPx/vS4fhPeIyvIcNlb/MQgirLcfPs+FoOqsPptAx1Ac3nW1i9+4dlzipZxdJfBPCRfxc7vgjIBR1iZBhQCawGPgcuKykzodAF2Aj6jNtv6Amgb+h3r3rCcwFpgOzUJcdWQi0AV4paaMLsA54jaqTutfKHacCeYB/yXEG4FnS34ZO6srSGAx4Dx2K99ChMHMmpj17yfljFWnvvEPB0SOE3H9/XZsWQrgYX6Oe0V3Dnd0Nu0l8E6Jpys7OJisry3rs7u5e83aImSW/Bpb8ug0oAkaWqdMZaAVsQE3qNgDdsR2OHY06HLsP6FVSp2wbpXUeqaYvZZ+j+xx1yHcxF4eGDwD3APdV/5GqUuekrjxj924Yu3cj5KGHUIqKHNWsEMIF/PvGeGd3oV4kvgnRNMTFxdkcz5w5k1mzZlX9BgtqkjUY6FZSdg71Tpt/ubphJedK64RVch476mQBJtTn+arzLPAVts/6dUK9m3cDML6G91eiVkmdUlwMFgsag8FadmH5ckxbt+HRrRsBt49Ho9Gg0etr3xMhhMtLzyngaFouAG2DvQiqYp9ZZ5D4JkTTl5iYSFRUlPW4xrt0U4C9qMOiTU0S6jN/5ZmB5Lo1Wauk7szjj2OIjiH00WkAXPhyKckvvYT30KGkvf02xSkp1nNCCFEqr7CYmd/uY8WOM1hKFvXVaTRc1zuK2WO7YTTonNxDiW9CNAc+Pj742rsX8wPAD8CfQHSZ8nCgEPX5Nf8y5ckl50rrbC7XXnKZc6W/lk++kgFfar5LB3A56jDr+0DvkrJtqEO85Yd17VSr6Vz5iYl4Db04JfvCsqWEzXiS6DcWEPX662T++EPdeiGEcGlzf/ibTcfO8/7ES9g9cxS7Z47ivQmXsOnYeeb9mOjs7gES34RwGQpqQvc1sAp1MkNZfVBnsf5epuwA6hImpRvpDAT2ACll6vyKmrDFlalTto3SOgOxzweoieElgHvJqx/qEO77drZRjl136s7OeAqA4nPJXFjyKZnffAuKQsH+A+SuXYtp5y4wF1OcksrZp54GIPKF5+vWIyGEy/l5bxJvj+/DwHZB1rIRnUNx12t54PMdPH9td6f1TeKbEC5mCuokhG8BHy4+A+eHegfND7gbdX25QNRE7UHUZKx0x8JRqMnbHcD8kjaeKWm7dMR3MvAf4AngLtQEchnqUin2CAFWAgeBv1F3l+gM1H4nRiu7krrIBHVRltxNGwmcOAHPSy4he/VqTNu3E/3mmwCYs7PJ/n2VBDsh6snigvtGmorMhPgYKpQHe7tjKjQ7oUcXSXwTonE1eIx7p+TX4eXKP+TiwsCvoY5VXo/t4sOldKhDt/9CTfa8UBcfnlOmThvUBG4qsAB1iPd9ql7OpCodgQ4lv6/nR6/VM3VeffuR9NxM/K65hswVK/C56h/WcwX792OIbYDlkYVoYapbdb7T9m3Ncnuh3q0CeO3XQ7xyUzweevX5ufwiMwt+O0TvWH/ndq6ExDchGkeDx7jye6lWxgN4q+RVlVjUO2nVGQ5UvzNc9T4BXgYOlRx3BB5HvUNYB7VK6kKfnE5yQgJZP/yA54ABBN93cSGV7N9+x2/smLr1QogWTmM0YuzdG9P27c7uSoOYOaYrEz7YxMCE3+kSoT7k/HdSFu5uOj65u5+Te6eS+CZEw3H1GFcnr6Iua/IA6pIroM7SnQykod4BrKVaJXVuAQFEzZ9f6bmwGU/W/upCCAA0Gg2xn32KUs2wBKiBsTnqFO7D6sdG8M3OMxxJyQFgbHwk43pFWe/cOZvENyEajqvHuDp5E3WoeEKZsrFAV9RdKxo6qRNCNByNRtMsh1btZTTouLVfK2d3QwjhJK4e42otCRhUSfmgknN1YFdSlzRzFsH/mow+vOZtfrJWrkQxm/EbI0MVQrRkvyYmM7xTCHqdll8Tq19J84q48suyNx6Jb0IIp2iPOlv2qXLlS7k4caKW7ErqdIEBHP2/MRh798JnxAg8unXDLTQUjcGAJSuLgiNHyNu2jayVP+EWGkLEnDk1NyqEcGn3LtnKlqdHEuztzr1LtlZZTwMcTbi68TpWjsQ3IYRTzAZuRl0cufSZuvWoa98tq1uTdiV1oQ8/TOD48WR89RUXPv+CgiNHbM5rvbzwGjiQiDmz1Q2whRAt3rEyidoxJyZtNZH4JoRwiutRd614FfimpKxLSVmvujVp9zN1bsHBBE+eTPDkyZgzMylKSkLJz0cXEIC+VatmuXaWEKJx/Hfbaf4vPgJ3N9tJEYXFFr7fdZbr+0RX8c7GIfFNCNGoilC3CHsW+NRxzdZpooTOzw+dn5/jeiGEcGmPf7WLSzuF4O5tm9TlFhTz+Fe7nJ7UlSXxTQjR4PTAf1GTOgeS2a9CtGCfbDjOu2uOkppTQJcIX2aP7UrPGP9K69787gY2HTtfoXxEpxA+/Gf1a80pVL5QelJmPj4e+tp3XAghmrtxqMOudVi6pCqS1AnRQn2/6yzzfvibedd2o1eMPx+sP8aExZtY9dhwgr3dK9R/944+FJot1uOMvCL+sWAtV3WPqPIaVy1Yi0ajJnTj39+ETnsxtTNbFE5fMHFpxxCHfi4hhGgWOqBuO7Ye6IO6FVlZD9W+SUnqhGih3l93jFv6xXDTJTEAPD+uO6v2p7Bs6ynuH96+Qn1/T9u9W7/flYRRr+PqHlUndaO6qkuVJCZlMaxjCJ6Gi8Ovep2W6AAj/+hW9fuFEMJlLQb8gW0lr7I0SFInREuXnZ1NVlaW9djd3R1394p33QqLLew9k8n9w9tZy7RaDYPbB7P9RIZd11q25RRj4iPwNFQdRh4Z2RGA6ABPxlQyUUIIIVqsY45vUlubyqadO0l57XWS579Mztq1ju+NEKJe4uLi8PPzs74SEhIqrXchrxCzRakwzBri7U5qTkGN19l5KoMDydnc3Ne+HSI6hHqTeDarQvmOkxfYfTrDrjYamsQ3IYTTKCWverI7qcv6+X8cv20855csIeOrrzh132TSF39Q/x4IIRwmMTGRzMxM62vGjBkNcp2lW07ROdynykkV5T337V6SMvMrlCdn5fPst/sc3Lvak/gmhHCKxUA3wKPk1Q14v+7N2Z3UpS9ahP+NN9Jpy2Y6bd5EyMMPk7ZoUd2vDKS9u4hjN9zIgd59ODhoMKemPEDBUdv7kZaCAs7NmcPB/gPY37sPpx98iOK0NJs6RWfPcvK++9jfsxcHBw0mef7LKMXF9eqbEM2Rj48Pvr6+1ldlQ68AAZ4GdFoNaeXuyqXmFBBSySSJsvIKi/lh11nrs3j2OJSSQ7fIisuEdI3043Bytt3tNBSJb0KIRvcc8DAwBlhe8hqDOhv2ubo1aXdSV3D8OEF3/RONTn0mJuifd2LJzaU4Pb1uVwbytmwh4LbbaL30S1p9sBiluIiTk+7GkpdnrZOckED2H6uJWvA6sZ98QnFKCqcfvPj0oGI2c+q+yVBUROsvPifyxQQyv/6a1DferHO/hHB1Bjct3aL8+OvwxQTCYlH463A6vWP9q33vj7uTKDBbuLZXVK2uV9mwbkp2vs2MWGeR+CaEaHTvAO8BCcDYklcCsAh4u25N2p3UKSYTWm9v67HGYEBrMNgEqNpq9f57+F93Le4dOuDRuTORCQkUn00if586HGPOzibjvysImz4drwEDMHbrSkTCC5h27MC0cycAuevXU3DkCJHz5+PRpQvew4YR8vBDXPj8c5TCwjr3TQhXN2lIG77Ycoqvtp3mcEo2T3+zl7zCYm7so96Bm7Z0Jy/9vL/C+5ZtPcWouDACvAwVzlVlaIcQ5v+8n6z8ImtZpqmI+T8fYGgH5y9pIvFNCNHoioBLKinvA9TxZnytZr9mLP8Kraen9Vgxm8n8+mt0/gHWssAJd9StJ4AlWx2G0Zas5p6/bx8UFeE1aKC1jnvbtrhFRpC3cyfGnj0x7dyJe8eOuAUHW+t4DRmCZdZsCg4fxiMursJ1CgoKKCi4eNcgO9v5wz9CNLYx8ZGczy3ktV8PkppdQJdIXz6+qx8hPurw65kMU4XtsY6k5rDl+AWW3F39YsPlPX1VF256dwODX1xF10hfABLPZhHs485rN/d0yOepL4lvQohGdQfq3bpXy5UvAsbXrUm7kzp9RAQZy5fbvjk4mMxvv7tYoNHUOegpFgvJLyRg7N0bj47qMgjFqWlo9Hp0vr621w0Kxlzy3ElxahpuQUHlzqvH5Z9NKZWQkMDs2bPr1E8hXMnEQa2ZOKh1peeW3jewQlm7EG+Ov3h1ra8T7ufBz48M5ZsdZ/k7KQsPvZYb+8Qwtmckel2tJuE3CIlvQginWAz8AgwoOd4EnAQmANPK1Cuf+FXB7qSu/arf7a1aJ+fmzKHg0CFiP/+sQa8DMGPGDKZNu/jTOnPmDHGVfOMVQjiOp8GN2/rbtwRKY5P4JoRodHuB3iW/P1Lya3DJa2+ZerV47LhJLD58bs5cclavIfbTJejDw63lbiHBKEVFmLOybL7NFqenoSsZjnALCca0Z49Ne6UPN5cdsiir/IKsZRdrFU2XoigoJlOV5zVGY4XhQtG0HErO5kyGiSKz7YJMV8SFOalHDU/im7CHxLcW6A/HN2l3UpfxzTd21fMfN87uiyuKQvLceWT/9huxn3yMITra5rxH166g15O7YSO+o0cBUHD0GMVnk/Ds2RMAY8+epC18l+L0dOuwRO76v9B6e2NoX3GrI9E8KYrCidvGY9qxo8o6xt69if3sUwl8TdDJ9DzuXbKVA8nZaLi4xmbpn9TRhNoP6TqSxDfhTBLfhKPYndQlzXhKfYjYzQ2UKpY91mhqFfTOzZlD1g8/Ev3Wf9B6eVGcmgqA1scHrYcHOh8f/K+/juSXXkTn54fW25vkefMw9uyJsSToeQ0ejHu7dpx9Yjqhjz9GcWoaqQsWEHDbbWgN9s/OE02bYjJVG/AATNu3o5hMaMo87C6ahtnf7yMm0JPP7xnA0JdW8e0Dg7mQV8S8H//m6au6OLt7Et+EU0l8E45id1JnaNcWc1o6vmPH4H/99Xh06lTvi2d88SUAJydMtCmPeOEF/K+7FoCwGTPQaLWcfvhhlMJCvIcMJvy5i6vyaXQ6Yha+Q9Ls2Ry/5Va0RiN+48YR8tCD9e6faJo6rF+H1mi0HltMJg4NHuLEHomabD95gc/vGUCglwGtRoNGo6Fv60Cmj+7ErO/2sfLhoU7tn8Q30VRIfBP1YXdS1+6HHzDt2kXGf1dw4vY7MLRqhf8N1+M7Zgy6Mus71UaX/X/XWEfr7k74c8/ZBLry9FFRtKrn6u+i+dAajTZLT4imz2xR8HZXw02Al4HkrHzahXgTFWDkaFqOk3sn8U00HRLfRH3Uai0BY3w8EXNm02HtnwTccTtZP/3MoaHDOPPY41hkIUwhRBU6hfuQmKQ+sN8zxp931xxl6/HzLPj9EK0Cm8Z/YBLfhBDNXZ0WiNJ6eOA/bhwhDz6AsXt3slaurHbWjhCiZXvgsg4oJc+qTbuiI6cu5HHjuxtYfSCVWWO6Orl3tiS+CSEazSHUxYbnAXPKveqg1kuaFCUnk/n1N2R8vQIlz4Tv2DGEz5qJzq/iZt1CCAFwaceLW4G1DvZi1aPDycgrxM+ob1Kz+SS+CSEazXvAv1DXpQvHdj06DVD1UxlVsjupy/rpJzJWfE3eli14DRlM2PTpeF96qXUDbCGEqEyR2ULnZ39m5UND6RTuYy3392w6szclvgkhGt084HlguuOatDupOzPtUfQREQROnIhbUBBFp89w4bPPK9Srz96IQgjXo9dpifT3wGypYqmQJkDimxCi0V0AbnRsk7Xa+xWNhqwffqi6Uj32RhRCuK4HRrTn5f/t57WbezapO3SlJL4JIRrdjaj7vk52XJNNZu9XIYTr+vivE5xIz6XfC78T7W/EaLAd1vzxIeeuUyfxTQgX8yfwMrANSAK+BsaVOa8AM1Gfa8sABgPvAB3K1DkPPAh8jzqt9HpgAVB2laPdwBRgCxBSUv8JO/vYHngW2Ah0B/Tlzj9kZztlOGzv16Jz50h7620i5tZxyoYQwmWN6tq893aV+CZEM5MLxAN3AddVcn4+8AbwMdAGNbkaDSQCHiV1xqMmhL8CRcA/gXuB0iczsoBRwEhgIbCn5Hr+JfVqsgg1QVxT8ipLg3OTOnNGBhn//a8EPSEEAB+uP8at/Vrhoddx4yUxRPh6oNU2nZmutSHxTYhm5h8lr8oowOvAM8A1JWWfAGHAN8AtwN/Az6h34C4pqfMmcBXwbyAS+AwoBD4ADEBXYCfwKvYldcfs/jR2q9M6dUIIUZN5P/5NTkExAENfWsX5PFnAVwhRP9nZ2WRlZVlfBQUFtW/kGHAO9Q5bKT+gP7Ch5HgD6h23S8rUGYmaNW0qU2cYakJXajRwAHUShL0KS95TXIv3VEGSOiFEgwjzceenvec4fSEPBTiXmc+ZDFOlLyGEsEdcXBx+fn7WV0JCQu0bOVfya/mnQsLKnDsHhJY77wYElqtTWRtlr1GdPOBuwBP1Lt/JkvIHgRfteH8lHDb8KoQQZT1wWQdmfbePmd9a0ABj/7OuQh0F9dGRowlXN3b3hBDNUGJiIlFRUdZjd3d3J/amnmYAu4DVwJVlykcCs4Ana9+k3Und6QcfrPa8OSu79lcXQris2/q3YmzPSM5cMHHlgj/57O7+TXI5E5D4JkRz4ePjg6+vb/0aCS/5NRmIKFOeDPQsUyel3PuKUWfEhpepk1yuTnKZczX5BlgKDMB2N4muwBE73l8Ju5M6rbdPjef9rrmm2jpCNDWKolS6r6dF9vp0CG93NzqF+/DyDfH0aR2Au1vT3KFB4ptwRRLfqtAGNen6nYtJXBbqs3L/KjkeiLrUyTagT0nZKsCC+uxdaZ2nUWfGli5H8ivQCQiwox+pVBziBXXmbh3nlNmd1EUmvFC3KwjRRCmKwonbxmPascPZXXF5N/SJdnYXqiXxTbiaFh/fcoDDZY6Poc5MDQRaAY+gbtPVgYtLmkRycS27LqhDovegLldSBDyAOjM2sqTObcBs1OfipgN7Udexe83OPl4C/Ij6DB1cTOTeR00Y60CeqRMtlmIy1RjwjL17ozEaG6lHje+TDcd5d81RUnMK6BLhy+yxXekZ419l/UxTEf/+3wF+3neOzLwiogKMPPd/cYzoXNnXTSGEs7T4+LYVGFHmeFrJrxOBj1AXCM5FXXokAxiCuoSJR5n3fIaayF3OxcWH3yhz3g91R4gpqHfzgoHnsG85E4AXUJddSUQd2l1Q8vu/qLhunZ0kqRMC6LB+HdpKgpvGaESjaZ5rq9Xk+11nmffD38y7thu9Yvz5YP0xJizexKrHhhPsXfHh48JiC3cs3kSQl4F3xvcmzNeDMxkmfD3KL4MuhGhKWmJ8YzjqTKyqaIA5Ja+qBHJxoeGq9ADW1qpnFw1BvXv4IuqOEr8AvVGXSuletyYlqWumyj8T0eKfkagnrdGI1tPT2d1oVO+vO8Yt/WK46ZIYAJ4f151V+1NYtvUU9w9vX6H+sq2nyMgr4r//GoRep66GFBPYsn5monFIfHOslhjfmo12qFuVOYgkdc3UocFDnN2FJqmq4O/S30jroLDYwt4zmdw/vJ21TKvVMLh9MNtPZFT6nt/+TqZ3K3+e+3YvvyYmE+hl4JqeUUy+tB26GnaKWPDbIe4d1rbCnq/5RWbeXXOUh0d2qOKdoiWS+FY5iW8uJquKcg3gju2ixnaSpK4Z0RiNGHv3xrR9e5V1XPoZCTtU9Z+BsXdvYj/71OUDX+lq66Xc3d0rXcfpQl4hZotSYZg1xNudI6m5lbZ98nwef10wMa5nJB/e2Y/j6bk8++1eiswWHhnZsdp+Lfj9IOMHtKqQ1JkKzSz4/aAkdULimx1aenxzOf5UP8s1GrgTmIndW0VIUteMaDQaYj/7tNIp6tY6LfAbmz3/GZi2b8d8/rzNcyWuOKQTFxdnczxz5kxmzZrlkLYVBYK9DCRc1wOdVkP3aD+Ss/J598+jNSZ1pYsMl/d3UlaTXbtONC6Jb5WT+ObCPkJdEuVOoF9J2WbgY9R9aVNR95l1B56yr0lJ6poZjUaDRp6NsFHdfwYWk8n67bYlDOnYu9p6gKcBnVZDWo7tvompOQWEVDJJAiDExx29TmMz1Nou1JvU7AIKiy0Y3Cp+lewx63/q31lgxL9X2/yHbLEo5BYWM75/bG0+onBhEt8qkvjmwj4GXgFuKlM2BnWSxLuo6+i1Ap5HkjrRslT1n0FLG9Kxd7V1g5uWblF+/HU4jdFd1aXPLRaFvw6nM2FQ5UnWJbEBfLvzLBaLgrYksTuWmkuoj3ulCR3Ac2O6oigKT/x3N1Ov6IhPmZmyep2G6ABP+sTas0qnEC2XxDcX9RfqGnjl9UKdAQvqDNmTldSpgiR1wqXJkE7VJg1pw6PLd9E92p+eMX4sXnecvMJibuyjzoadtnQnYX4eTL+yMwC3D4jlkw0nmP39PiYOas3x9FzeXn2YOwe1rvIapYsOxwSqyVvprFkhRP1JfGvmYoDFqEualLW45BxAOvbtTlFCkjrh8mRIp3Jj4iM5n1vIa78eJDW7gC6Rvnx8Vz9CfNTh1zMZJpv/DCL9jXx8Vz/m/pDIlQvWEu7rwT8Ht2Hype0qbT87v8h6Z65rpC/5RWbyi8yV1vWRte6EqBOJb83Yv4EbgZ+AviVlW4H9wFclx1uAm+1vUpI6J5E9+URTMHFQayZWcadt6X0V96npExvAN1MG29V2/Oxf2Pz0SIK93ekx+5dKJ0qUTqA4mnC13X0WTZ/ENyHsMBY1gXsXOFhS9g/gG6B1yfG/KryrWpLUOYEz9+STdY5EY/n8ngH4G9U7cF/cM8DJvRGNReKbELXQhorDr/UgSZ0TOHNPPlnnSDSWAW2DKv29cG0S34SohQzUZ+j+LjnuCtyFuq9sHUhS52SNsSefvescKSaTPJshHObvpKqWS6+oS0TNM3ZF8yPxTYhqbAVGA0YurlP3KuoSJqX7wNaSJHVO1hh78tm7zpEQjnTVG2vRUP2e2iDP1LkyiW9CVGMq6nN173ExGysGJgGPAH/WvklJ6loImSElGtvaJ0Y4uwuihZD4JpqlrdgmdJT8/gngkro1KUldIyj/8G5TnQEmDxkLR4oOkP9kWwKJb0LUkS/qwsKdy5WfAnzq1qQkdXao7/T85nL7Xx4yFg3pSGoOH/91nMMpOQC0D/Vm4qDWtAvxdnLPWjaJbxLfhJPcDNyNul7doJKy9cDjwK11a1KSuhrUdXp+c9m+pak+ZNxcvv1XxxU+g6P8tCeJB7/YQfdoP3q3UpdH33HyAqNf+5M3b+3FP7pHOLmHLZPEN4lvdVVZn5vj53Cqf6M+VDwB9Vk6AD3q2nR1XOZEkroa1HV6fnPZvqWpPmTcXL79V8cVPoOjJPy0n/uHt2PaqE425a/+epCEn/ZLUuckEt8kvtWVK3wGpzIDG4FZQAJwpKS8HVCP7xcuk9Sd/+wzzi/+gOK0NNw7dyb8macx9ujh0GvUdnp+c3l4t6n0s7l8+6+OK3yGhpCSnc91vaMrlF/bK4pFfx6p5B2ivIaOcRLfGrgfLhAb7PkM0PQ/R5OgA0ahrk/XBujumGZdIqnLWrmSlBdfInzWLIzxPTj/8SecnHQP7X5aiVuQ4xY9bYzp+U1VYwwXNJdv/9Vxhc/QEAa0DWLz8fO0DvayKd9y/Dx9Wwc6qVfNR2PEOIlvVR87givEBns+AzT9z9FkdAOOoiZ1DuISSV36Rx/jf+ON+F9/HQDhs2eRs2YNGf9dQfC99zi5d66hsW61N5Vv1fXhCp/B0UZ2CeOln/az90wmvVr5A7DjZAYr9yTxyMiO/JqYbK17RVyYk3rZdEmMa1gS3+znCp+hyZgHPAbMBfoAXuXO12FN9maf1CmFheTv22cT2DRaLV4DB2LaubPS9xQUFFBQUGA9zs7ObuhuNkuuMFwgmoZnv90LwJKNJ1iy8USl50AWIq5MbWOcxDf7SHwTTndVya9jUYNfKaXk2Fz7Jpt9Uld8IQPMZnTlhiB0wUEUHDtW6XsSEhKYPXt2I/SueXPEcIErzPIS9XdMErU6q22Mk/hmH4lvwun+cHyTzT6pq4sZM2Ywbdo06/GZM2eIi4tzYo+arvreapcZUkI0Lolv9pP4JpzqUsc32eyTOrcAf9DpMKen25Sb09JxCw6u9D3u7u64u7tbj7Oy7N94XNRMhjVEqW0nLpCRV8jlXS4+J/ffbad57beDmArNjOoaxqyxXXF30zmxl01bbWOcxLeGJfFN1MvuWtStw+T2Zp/UaQwGPLp2JXfDRnxGjgRAsVjI3biRgPHjndy7lskVZnkJx3jj90MMaBtkTer2n8ti+n93c0OfaNqHevPun0cJ9fFg6hUdndzTpktiXNMi8U3US0/U5+VKn5urTkt8pg4g6M6JnH1yBh7dumHs0Z3zH3+CxWTC/7prnd21FktmSAmAxKQsHh11MWH7ftdZesb48+L16lfQCD8jr/12UJK6GkiMa1okvok6K/sY7A7U2a+PAwNLyjYArwDz69a8SyR1vlddRfH5C6S++Qbm1DTcu3Sh1XuLqhx+FUI0jkxTEcHeF4cCNx09z/BOIdbjHtF+JGXIw+U1kRgnhIuILfP7G4E3uDgLFtQh1xjgWWBc7Zt3iaQOIPD28QTeLkMRQjQlId7unDqfR6S/kcJiC3vPZtrclcstLMZNp3ViD5sPiXFCuJg9VL7wcBsgsW5NukxS11A0RiOdtm+z/l4IYb/hnUJ46ef9PPmPLvyy7xxGvc5mB4n9SdnEBskwlrNIfBPCibqg7vv6PmAoKSssKetStyYlqauBPDshRN09OqoTk5ds4+ZFG/AyuPHvG+MxuF28M7ds6ymGdpAhRGeR+CaEEy0ExgDRXJzpuht1AsX3dWtSkjohWrBPNhzn3TVHSc0poEuEL7PHdqVnjH+ldZdvPcXjX9nOxze4aTk47x9Vth/oZWDZ5IFk5RfhZXBDp7Wd7vX2+N54GiQMCSEawFvAy8A5IB54E+jn1B7Z6oe69+tnwP6SspuB26i4ZZidJJoK0UJ9v+ss8374m3nXdqNXjD8frD/GhMWbWPXYcJvJDWX5uLvx+2MXV8zU1DgnX+Xroa+03N/TUGm5EELUy1JgGurdsP7A68Bo4AAQ6rxu2chFTd7udVyTktQJ0UK9v+4Yt/SL4aZLYgB4flx3Vu1PYdnWU9w/vH3lb9JAqI9HI/ZSNCgFyHN2J4Qow5Oa12+zx6vAPcA/S44XAj8CHwBPOqB9RwgDbgLuAhy0OYkkdYDFYgEgKSnJyT0Rom5K/+5mZmbi6+trLS+/u0CpwmILe89kcv/wdtYyrVbD4PbBbD+RUeV18grNDH5xFRZFoWukH09c2YmOYT6O+yDC4aqNb3ng28m3YrkQTpJ1IEtN7MqpVYwrBLYBM8qUaYGRqOvANRWfAh8BlwGtUZO7CUBk3ZuUpA5ITk4GoF+/pjTYLkTtdevWzeZ45syZzJo1q0K9C3mFmC1KhWHWEG93jqTmVtp22xBv5l/fg84RPmTnF/Pen0e5/u2/+GXaMCL8ZOZkUyXxTTQrnao/bVeMS0PdjSHMtpgwLj671hSMK3mlAktQE7xnUYeJ7wLGUussTZI6oFevXqxatYrLLruMxMREfHzkzkOp7Oxs4uLi5OdSTlP7uVgsFk6ePElcXBxubhf/WVd2l66u+sQG0Cc2wOZ45Ktr+HzTSR4dVUMkFk4j8a1qTe3fcVPRFH8ujRHjnCYE9fm/aaiTOR4HVgLBwGTU4WI7J6lLUge4ubnRp08fAKKiomxu7bZ0pZuBy8/FVlP8ubRq1cruugGeBnRaDWk5BTblqTkFhFQxSaI8vU5L10hfjqfLQ1lNmcS3qjXFf8dNQVP9udgd44IBHZBcrjwZCHdsnxwiGfgY9U7dCeAG4G7gNPASsBH4xb6mZCl3IVogg5uWblF+/HU4zVpmsSj8dTid3rH+drVhtijsP5dNqI8LfFMWQrgOA9AH+L1MmaXkeGCl73COFajr1MUAnwP3A2dQn7UbAdwBfAustr9JuVMnRAs1aUgbHl2+i+7R/vSM8WPxuuPkFRZzYx91Nuy0pTsJ8/Ng+pWdAVjw2yF6tfKndZAXWflFvPvnUc5cMHFL3xhnfgwhhKhoGjARuAR1PbjXUZcQ+Wc172ls/wRuAdYDfauoEwk8bX+TktSVcHd3Z+bMma4xPu9A8nOpnCv8XMbER3I+t5DXfj1IanYBXSJ9+fiufoSU3Hk7k2FCo7m4tkCmqYgZK/aQml2Ar1FP9yhf/vuvQXSQ2a9Nniv8fW0I8nOpnEv8XG5GnYDwHOriwz2Bn6k4ecKZkqj5WTkjMNP+JjWKoij16JIQQgghhLBXlp316vA4oyR1QgghhBCNRUv1CywrJefNtW9ahl+FEEIIIRrLH2V+rwBXAe8DUfVvWu7UCSGEEEI4iw+wC2hb/6ZkSRMhhBBCCBcgSR3w1ltv0bp1azw8POjfvz+bN292dpca3Z9//smYMWOIjIxEo9HwzTff2JxXFIXnnnuOiIgIjEYjI0eO5NChQ87pbCNJSEigb9+++Pj4EBoayrhx4zhw4IBNnfz8fKZMmUJQUBDe3t5cf/311m2ZhGgqWnqMk/hWOYlxrqfFJ3VLly5l2rRpzJw5k+3btxMfH8/o0aNJSUlxdtcaVW5uLvHx8bz11luVnp8/fz5vvPEGCxcuZNOmTXh5eTF69Gjy8/MbuaeNZ82aNUyZMoWNGzfy66+/UlRUxKhRo8jNvbg36tSpU/n+++9Zvnw5a9as4ezZs1x33XVO7LUQtiTGSXyrisS4JqS6iRO1obRw/fr1U6ZMmWI9NpvNSmRkpJKQkODEXjkXoHz99dfWY4vFooSHhysvv/yytSwjI0Nxd3dXvvjiCyf00DlSUlIUQFmzZo2iKOrPQK/XK8uXL7fW+fvvvxVA2bBhg7O6KYQNiXG2JL5VTWJcI7m23MtNUZRRlZTXQYu+U1dYWMi2bdsYOXKktUyr1TJy5Eg2bNjgxJ41LceOHePcuXM2Pyc/Pz/69+/fon5OmZmZAAQGBgKwbds2ioqKbH4unTt3plWrVi3q5yKaLolxNZP4dpHEuEbiV+51O+rOEeXL66BFL2mSlpaG2WwmLMx2iemwsDD279/vpF41PefOnQOo9OdUes7VWSwWHnnkEQYPHky3bt0A9ediMBjw9/e3qduSfi6iaZMYVzOJbyqJcY3ow4ZrukUndULYa8qUKezdu5d169Y5uytCCOFwEuNcQ4sefg0ODkan01WYyZOcnEx4eLiTetX0lP4sWurP6YEHHuCHH37gjz/+IDo62loeHh5OYWEhGRkZNvVbys9FNH0S42rW0uMbSIxzJS06qTMYDPTp04fff//dWmaxWPj9998ZOHCgE3vWtLRp04bw8HCbn1NWVhabNm1y6Z+Toig88MADfP3116xatYo2bdrYnO/Tpw96vd7m53LgwAFOnjzp0j8X0XxIjKtZS41vIDHOFbX44ddp06YxceJELrnkEvr168frr79Obm4u//znP53dtUaVk5PD4cOHrcfHjh1j586dBAYG0qpVKx555BHmzZtHhw4daNOmDc8++yyRkZGMGzfOeZ1uYFOmTOHzzz/n22+/xcfHx/oMiZ+fH0ajET8/P+6++26mTZtGYGAgvr6+PPjggwwcOJABAwY4ufdCqCTGSXyrisQ4F+SAybnN3ptvvqm0atVKMRgMSr9+/ZSNGzc6u0uN7o8//lBQd6GzeU2cOFFRFHXa/7PPPquEhYUp7u7uyuWXX64cOHDAuZ1uYJX9PADlww8/tNYxmUzK/fffrwQEBCienp7KtddeqyQlJTmv00JUoqXHOIlvlZMY53pk71chhBBCCBfQop+pE0IIIYRwFZLUCSGEEEK4AEnqhBBCCCFcgCR1QgghhBAuQJI6IYQQQggXIEmdEEIIIYQLkKROCCGEEMIFSFInhBBCCOECJKkTAKxevRqNRlNh4+bG8vvvv9OlSxfMZjMAs2bNomfPnrVup7CwkNatW7N161YH91AI0VxJfBMthSR1LdDw4cN55JFHbMoGDRpEUlISfn5+TunTE088wTPPPINOp6tXOwaDgccee4zp06c7qGdCiOZE4ptoySSpE4AaLMLDw9FoNI1+7XXr1nHkyBGuv/76erVTWFgIwPjx41m3bh379u1zRPeEEM2cxDfRUkhS18LceeedrFmzhgULFqDRaNBoNBw/frzC8MRHH32Ev78/P/zwA506dcLT05MbbriBvLw8Pv74Y1q3bk1AQAAPPfSQdUgBoKCggMcee4yoqCi8vLzo378/q1evrrZPX375JVdccQUeHh4Vzi1ZsoTWrVvj5+fHLbfcQnZ2tvXc8OHDeeCBB3jkkUcIDg5m9OjRAAQEBDB48GC+/PLL+v/AhBDNhsQ30dJJUtfCLFiwgIEDB3LPPfeQlJREUlISMTExldbNy8vjjTfe4Msvv+Tnn39m9erVXHvttaxcuZKVK1eyZMkS3n33Xb766ivrex544AE2bNjAl19+ye7du7nxxhu58sorOXToUJV9Wrt2LZdcckmF8iNHjvDNN9/www8/8MMPP7BmzRpefPFFmzoff/wxBoOB9evXs3DhQmt5v379WLt2bW1/PEKIZkzim2jp3JzdAdG4/Pz8MBgMeHp6Eh4eXm3doqIi3nnnHdq1awfADTfcwJIlS0hOTsbb25u4uDhGjBjBH3/8wc0338zJkyf58MMPOXnyJJGRkQA89thj/Pzzz3z44Ye88MILlV7nxIkT1vplWSwWPvroI3x8fAC44447+P3333n++eetdTp06MD8+fMrvDcyMpITJ07Y90MRQrgEiW+ipZOkTlTJ09PTGvAAwsLCaN26Nd7e3jZlKSkpAOzZswez2UzHjh1t2ikoKCAoKKjK65hMpkqHJlq3bm0NeAARERHWa5Xq06dPpW0ajUby8vKq+XRCiJZM4ptwRZLUiSrp9XqbY41GU2mZxWIBICcnB51Ox7Zt2yrM8iobKMsLDg7mwoULdl2/9FqlvLy8Km3z/PnzhISEVHlNIUTLJvFNuCJJ6logg8Fg8/Cvo/Tq1Quz2UxKSgpDhw6t1fsSExMd2pe9e/fSq1cvh7YphGj6JL6JlkwmSrRArVu3ZtOmTRw/fpy0tLQK3w7rqmPHjowfP54JEyawYsUKjh07xubNm0lISODHH3+s8n2jR49m3bp1DulDqbVr1zJq1CiHtimEaPokvomWTJK6Fuixxx5Dp9MRFxdHSEgIJ0+edFjbH374IRMmTODRRx+lU6dOjBs3ji1bttCqVasq3zN+/Hj27dvHgQMHHNKHDRs2kJmZyQ033OCQ9oQQzYfEN9GSaRRFUZzdCSEef/xxsrKyePfdd+vd1s0330x8fDxPPfWUA3omhBD1I/FNNBa5UyeahKeffprY2Nh6D5UUFhbSvXt3pk6d6qCeCSFE/Uh8E41F7tQJIYQQQrgAuVMnhBBCCOECJKkTQgghhHABktQJIYQQQrgASeqEEEIIIVyAJHVCCCGEEC5AkjohhBBCCBcgSZ0QQgghhAuQpE4IIYQQwgW4ObsDQghRGYtiYeu5rWxL2UZSThL5xfkEeATQObAzAyMHEu4V7uwuCiFEkyI7SgghmpT84nw+3vcxyw4sI7Mwk06BnQg1huLu5k5mQSaHMw6TmpfKwMiBTI6fTHxIvLO7LIQQTYIkdUKIJmXk8pHEh8RzTftrGBg5EL1WX6HO2ZyzrDy2kuUHlnNPj3u4oeMNTuipEKIlOmEqYFNmLqfzCzGZLQTp3ejmY+QSXy88dM59qk2SOiFEk3I04yht/dvaVbfIUsS5nHPE+MY0cK+EEC3df8+d573TaezKziPE4Ea4QY+HTsuFomJOmApx12q4LiyAB2LDiPEwOKWPktQJIZqkYksx7+15j2vbXyvPzwkhnGrklgPoNRpuighkVJAvUeWStgKLha2ZuXybksEPqRm82DGGsaH+jd5PSeqEEE1W/8/6s+KaFUR5Rzm7K0KIFuyP9CxGBPnaVfd8UTGn8guJ9/Fs4F5VJEuaCCGarH4R/dh6bquzuyGEaOFKE7pii8Kyc+dJLSyqsm6g3s0pCR3IkiZCiCZsaNRQXt/+OocuHCIuKA6jm9Hm/IhWI5zUMyFES+Sm1TD9wCn+7N/F2V2plAy/CiF4f8/7LNi+gNu73M70ftMBKDAX8PKWl/n5+M8UmgsZHDmYpwc8TbAx2Pq+pJwk5m6cy5ZzW/DUezK23Vge7v0wbtqL3xe3nNvCy1te5nDGYcK9wrm3x72Maz/Orn71+LhHlec0Gg27Juyq2wcWQri0DRk5vH0yhd3ZeSQXFvNht9b8I8Tfel5RFOYfO8dnSelkFZvp6+fFSx1jaOvpXmPb1+44xH3RoVwZ4teAn6Bu5E6dEC3c3rS9fHXwKzoGdLQpn795Pn+e+ZNXLn0Fb4M3L2x6gal/TGXJVUsAMFvM3P/7/QQbg1ly1RJS81J5et3TuGndeLj3wwCczj7NlN+ncGPHG3lx6ItsTNrIrL9mEWIMYXDU4Br7tnvibsd/YCGEy8szW+jqbeTWiEDu2nu8wvn/nExh8ZlU3ugcSyujgZeOJXHLriP82a9zjcuS3BkVzMzDZzhToD4351mufpy3sYp3NjxJ6oRowfKK8nhy7ZPMHDiTRbsXWcuzC7NZcXgFLw19if4R/QGYO3gu13xzDbtSdxEfEs9fZ//iaOZR3hv1HsHGYDoHduaBXg/w2rbXuD/+fvQ6PcsOLiPKO4rH+z4OQFv/tuxI2cGSxCV2JXVCCFEXlwf5cnkVExsUReG906k8Ehtuvdv2ZpdYuq/fy89pmYwLC6i27cn7TgDwzKEz1jINoJT8enZETwd8grqRpA4oLi5mx44dhIWFodXK3BHR/FgsFk6ePElcXBxubhf/Wbu7u+PuXvVwwvObnmdo1FAGRg60SeoS0xMpthQzIHKAtaytX1sivCLYlaImdbtSd9HBv4PNcOygyEHM3TiXwxmH6RLUhV0puxgQMcDmmoMiBzF/y3y7P9vGpI1sStrE+fzzWBSLzbm5g+fa3U5LJfFNuIK6xrjKnMwvJKWwmGEB3tYyXzcdvXw82ZqVW2NSt3lgXO0634gkqQN27NhBv379nN0NIRxu5syZzJo1q9JzPx37icT0RL78vy8rnEszpaHX6vE12H7TDfIIIi0/zVonyBhke77kOM2k1knPT6+0Tk5RDvnF+Xi4eVTb/3d2vsPC3QvpGtSVYGMwGjTV1hcVSXwTrqy6GFeVlMJiAEIMtrvVhBj01nPVcdbCwvaQpA4ICwsDYPPmzURERDi5N0LUXlJSEv369WPv3r3ExFzcXaGqb7Dncs/x4uYXWXTFItx1tfuW25iWHVzGvMHzGNNujLO70mxJfBOuoLYxrqEdzStgfUY2aYXFWMpNN320jfMWS5ekDqxDEhEREURHRzu5N0LUnZ+fH76+NS+QuS99H+fzz3PzDzdby8yKmW3J2/hi/xcsvGIhRZYisgqzbO7WpeenE+yhDrcGG4PZm7bXpt10U7r1HKh39krLytbx1nvXeJcO1G3Aeob0rLGeqJrEN+FK7I1x1Qk1qKlPamERYe4X79alFhbRzafmSQ6fnk1n+sFTBOrdCDW42YwgaJCkTgjRyAZEDGDF2BU2Zc+uf5Y2fm24q9tdhHuF46Z1Y1PSJq6IvQKAY5nHSMpNIj40HoD4kHje2/Me6aaLQ6wbkjbgrfemnX87tU5oPGtPr7W5zoakDcSHxNvVz+s6XMePx35kcvzken1eIYQo1crDQKjBjbUXcuhWskhwdrGZHdl53BkVXMO74bXj53iyTQQPxoY1dFdrTZI6IVogL70XHQI62JQZ3Yz4u/tby69rfx0vb3kZP4MfXgYvEjYlEB8Sb03IBkUOoq1fW55a9xTT+kwjzZTGf3b8h1s634JBpz5zclPHm/hy/5e8uvVVxnUYx+akzfxy/BfeuvytKvtWdhKFoih8cvATNiZtpGNAR5v17wCe6PuEQ34eQgjXklts5pipwHp8Mr+Qvdl5+OvdiPYwcE90CK+fSKatpzutPNQlTcIMeq4Mrnntucxis1P2dbWHJHVCiEo90e8JNFs0TF09lSJLEYMiB/HMgGes53VaHW9d/hZzN87l9pW3Y3QzMrbdWKb0nGKtE+0TzVuXv8X8LfP59O9PCfMMY9agWdUuZ7L//H6b486BnQE4nHHYplwmTQghqrIzO4/rdx6xHs88fBaAm8IDeKNLLA+0CiXPbOGxA6fIKjbTz8+LL+Lb1rhGHcCYUH9Wn89mYlTTex5ZdpQATp8+TUxMDKdOnWrWz5woioJiMlV5XmM0otHIf4SuyFX+DgvHc5W/GxLfWjZn/z1+/3Sq9fd5ZgsLT6UwMsiXLl5G9Frbv3eTokMau3tWcqfORSiKwonbxmPasaPKOsbevYn97FMJfKLJu+KrKxgRM4LhMcPpF96vwrCraFkkvglne/dUqs2xl07HhoxcNmTk2pRrkKROOIBiMlUb8ABM27ejmExoPD0bqVeuS+4aNKwXhrzA6lOreX7j81zIv8CgqEEMjxnOsOhhFdbOE65P4lvjkvhW0ZYmvOBwWZLUuaAO69ehNV6clm0xmTg0eIgTe+Ra5K5Bw+sb3pe+4X15vO/jHL5wmNWnV/PF318wc/1Meob2ZHjMcIbHDCfGJ6bmxoRLkfjWsCS+VW3c9kOMDvZjdLAfbT2b3vN0IEmdS9IajWjl22qDkbsGjat9QHvaB7RnUvdJpJnSWH1qNatPreaN7W8Q7RPN1D5TGRY9zNndFI1E4lvDkvhWtVsjgvglPZN/Hz9HpLueUcF+jA7ypa+fV5NJcCWpE6Ie5K5B4wo2BnNDxxu4oeMN5BXlseHsBnneTogGIvHN1s0RgdwcEUiBxcLaCzn8Ly2Te/Ydx6zAyCBfRgf7MjzQF6MdM2gbikRDIepB7ho0rJzCnErLNRoNBq2By2Mvb+QeCdFySHyrnLtWy8ggX0YG+fJypxi2Z+byv/QsXjp2jvsTTzA4wIeHWoXSz9+70fvm9KSuKDmZlH+/Qu6ff2LJz8fQqhURL7yAsXs3QB3fT3vzTS4sX44lKxtj715EzJyJoXVraxvmjAzOzXuenD/+AK0Wn1FXEP7UU2i9vJz0qYQQjjDoi0HVDmuEeYZxTftr+Ff8v9BqnPftuCoS34Rwfb39vOjt58WMthEcNxXwv7RMkguLndIXpyZ15sxMTtx6G579+xPz3iJ0gYEUHj+Bzq/MXpPvv8/5JZ8S+WIC+uhoUhe8wclJ99D2xx/Qlmzke+bxJyhOTaXVB4tRios5+9RTJD03k6hX/u2sjyaEcIB5Q+bxxvY3uKb9NXQP7g7AnrQ9fHfkO+7tcS8X8i/w0b6PMGgN3NPjHif31pbENyFantZGd+6LCXXa9Z2a1KW//z5uERFEJrxgLTOUWVRQURTOf/IJwZMn43O5OswS+dKLHBo8hOzffsPv6qspOHKE3LVrab18ufXbb/gzz3Dq3vsIfeIJ9GHO++EKIernu8Pf8Vjfx7iy9ZXWsuExw+kQ0IGvDnzF+6PfJ8IrgkW7FzW5pE7imxCuqdPaPZXuZ6NBHZptbTRwc0Qgt0YENXbXcOp4RfaqPzB268rphx/h4KDBHL32Oi4sW2Y9X3T6NObUNLwGDbSW6Xx8MPbogWnnLgBMO3ei9fW1BjwAr4EDQavFtHtXpdctKCggKyvL+srOzm6gTyiEqI+dqTvpEtilQnmXwC7sSlX/ffcK7cW53HON3bUaSXwTwjVNax2GVqNOjnisTTiPtQlnZJAvGg38MyqYdp7uPHnwNJ+eTW/0vjk1qSs6dYoLX3yJITaWVu+/R8Att5D8/AtkfP0NAMWpaQDogmyzXV1wMMVpqdY6boGBNuc1bm7o/Pwwp6VVet2EhAT8/Pysr7i45rGooBAtTbhXOCsOrahQvuLQCsK9wgHILMhskgsSS3wTwjVtzsxlepsI/hMXy6ToECZFh/CfuFiebBPB7pw8XuncimfbRdpsLdZYnDr8qigKxq5dCZ02FQCPuDgKDh0i48sv8b92XINdd8aMGUybNs16fObMGQl8QjRBj/Z5lEfXPMq6M+voFqzerdqXto9jmcd4dfirAOxN28voNqOd2c1KSXwTwjX9cT6bZ9pGVigfGuDDrCNnAfUu3vNHkhq7a869U+cWEoyhfTubMvd2bSlKSrKeBzCn297CNKel4RYcYq1TfP68zXmluBhzZia64OBKr+vu7o6vr6/15ePj45DPI4RwrBGtRvD9td8zNGoomQWZZBZkMiRqCN9d+x2XxlwKwM2db+aJvk84uacVSXwTwjUFuOn4JT2zQvkv6ZkEuOkAyDNb8HZr/BTLqXfqPHv1pvDYcZuywuPH0UeqGbA+OhpdSDC5Gzbi0UV9rsack4Np9278b70FAGPPnliysjDt3YexW1cAcjduAosFY4/4xvswQgiHK7IUEeUdxSN9Hqlw7kL+BQI8Ahq/U3aS+CaEa5raOpzpB0+x/kIOvXzVdfx2Zufxe3oW8zuqWxeuOZ/NQCesU+fUO3WBd07EtGsXaQvfpfDECTK//4ELy5YTMP42QF1gNHDCBNIWLiR71SryDxzk7PQncQsNxWfkSADc27XDa+hQkp57FtPu3eRt307y3Ln4XnWVzAwTopl7Ys0TKIpSoTzNlMZd/7vLCT2yn8Q3IVzT7ZFBfN2zPZ46LStTM1mZmolRq+XrXh24LVJ9RvZfrUJZ1LV1o/fNqXfqjN27E/3mG6S++hppb7+NPjqasBlP4jdmjLVO0KRJKCYTSc/NxJKVhbFPb2LeW2Rdwwkg6uX5nJs7j5N3/rNkcc5RhD/9lDM+khDCgZJyk5j510zmDJ5jLUvNS+XuX+6mvX97J/asZhLfhHBd/fy9K90xwmS2tOxtwnxGjMBnxIgqz2s0GkIeeoiQhx6qso7O318W4hTCBb098m3u/PlO5m+ZzxN9nyAlL4W7/3c3HQM68vKlLzu7ezWS+CaE63n64Gme7xhdoTzXbOaO3cdY0ct5XzidntQJIURVAj0CWXTFIib8NAGAP0//SZfALrw49MUmuS2YEML1/Zaehd+xJJ5oE2Etyy02c9vuo07slUqiohCiSQv3CmfRFYv48eiPdAvuxvxh89Fpdc7ulhCihVrasx2fnU1n0akUAHKKzdy86wga4PP4tk7tm9ypqydFUVBMpirPa4zGajckF0LYGvTFIDSVbMKTX5zPmlNrGPLlEGvZ+lvXN2bXWhyJb0JU1Nrozhfx7bh+x2G0Gg1fJ1/AoNXwaY+2eOmc+4VTkrp6UBSFE7eNx7RjR5V1jL17E/vZpxL4hLDT9L7Tnd0FgcQ3IaoT521kSY+23LTrCL19PFnSo61TJ0iUkqSuHhSTqdqAB2Davh3FZELj6dlIvRKiebum/TXO7oJA4ptovsyKwr+PneOr5AukFhYRZtBzc0QgU2PD6vwFZOSWA5WMH4C7RkNyYRFjtx+ylv3at1Mde15/ktQ5SIf169AajdZji8nEocFDqnmHEKIyeUV5eOrtTxJqW1/UnsQ30Zz850QKH59NY0HnVnTy8mBXtolH9p/E103HpOiQOrV5ZbCfg3vZMCSpcxCt0YhWvq0KUW9Xf30147uM55p21xDiWXkAVhSFDUkb+CTxEy4Ju4RJ3Sc1ci9bFolvojnZkpXL6GA/rihJxFoZ3fkm5QI7svLq3OZjbcId1b0GJUmdEKJJ+WD0B7yx/Q3e2fkOnQI7ERcUR6hnKO46dzILMjmaeZRdqbvQaXRM6j6JGzve6OwuCyEaSXZ2NllZWdZjd3d33Mss1g3Q19eLJUlpHMnLp52nB/tyTGzKyGV2+8g6X1dRlGbx7KgkdUKIJqWNXxteG/EaSTlJ/HLiF7Ylb2NX6i7yi/MJ8Aigc2BnZg2cxZCoIbK0iRAtTFxcnM3xzJkzmTVrlk3Zg7GhZJvNDNm0H50GzArMaBvB9eGBdb7usM37ebR1OFeF+GHQVj0h4mheAQtPpRDjYeDB2LA6X6+uJKkTQjRJEd4RTOw6kYldJzq7K0KIJiIxMZGoqCjrcfm7dADfpWSwIvkC78TF0snLg705Jp47dMY6YaIuXugQzdyjZ3ny4GmGBfoQ7+NJuMENd62WzGIzB3Pz2ZSZy4HcfO6KDmZiVHCdP2N9SFInhBBCiGbBx8cHX1/fauvMOXKWB1qFMi4sAIAu3kZO5xfy5snkOid1QwN9+CWwE5sycvg2JYMVyec5nV9EvsVCoN6Nbt5GbgwP4PqwAPz1zkutJKkTQgghhMswmS1oyz3/ptNosCj1b7u/vzf9/b3r31ADkaROCCGEEC7jimBfFpxIJspdbx1+XXgqhVsjgpzdtQYnSZ0QQgghXMYLHaJ56VgSTx48TXpRMWEGPRMig5nWuvEnLjQ2SeqEaIGW7l/K0oNLOZtzFoB2/u2Y3GMyQ6OHAlBgLuDlLS/z8/GfKTQXMjhyME8PeJpg48WHf5Nykpi7cS5bzm3BU+/J2HZjebj3w7hpL4aVLee28PKWlzmccZhwr3Du7XEv49qPa9TPKoRoWbzddMztEM3cDtHO7kqjc/5GZUKIRhfmFcYjvR9h6f8t5curv6R/eH8e+uMhDl84DMD8zfNZc3oNr1z6Ch9e+SEpphSm/jHV+n6zxcz9v99PkaWIJVctYd7geXx7+Fve2vmWtc7p7NNM+X0KfcP78tWYr7i9y+3M+msW68+sr1VftyVv48m1TzJ+5XiSc5MB+P7I92xP3u6An4QQQriOOiV1SlERRUlJFBw9hjkjw8FdEkI0tOExwxkWPYxY31ha+7Xmod4P4enmye603WQXZrPi8Aoev+Rx+kf0p2tQV+YOnsvO1J3sSt0FwF9n/+Jo5lEShibQObAzQ6OH8kCvB/hy/5cUmYsAWHZwGVHeUTze93Ha+rflti63cUXsFSxJXGJ3P3898SuTf52Mh86D/en7KbQUApBdmM17e95z/A8GiW9CiObL7uFXc04uWd9/R9aPKzHt2YNSVASKAhoNbuFheA8ejP9NN2Hs3r0h+yuEqIY9q62XZ7aY+eXEL5iKTcSHxJOYnkixpZgBkQOsddr6tSXCK4JdKbuID4lnV+ouOvh3sBmOHRQ5iLkb53I44zBdgrqwK2UXAyIG2FxrUOQg5m+Zb/fnWbR7Ec8OfJax7cby07GfrOW9QnuxaPciu9upicQ3IURtHDcV8GXSeY6bCpjbIYoQg57f07OI8tDT2ctYcwMNxK6kLv3Dj0hfuBB9q1Z4jxhO0H334RYaitbDHXNmJgWHDpG3dRsn756EsUcPwp95GkPr1g3bcyFEBfastl7q4IWD3L7ydgrNhXi6efL6iNdp59+O/ef3o9fq8TXYrgUV5BFEWn4aAGmmNIKMtjPJSo/TTGqd9Pz0SuvkFOWQX5yPh5tHjZ/neOZx+oT1qVDubfAmuzC7xvfbQ+KbEKI2/rqQw/jdR+jr58XGjFxmtI0AIDHHxOdJ6Szu1sZpfbMrqcvfs4fYT5fg3qFDpeeNPXrgf/31WAoLyVyxgrxt2yToCeEE9qy2XqqNbxu+GvMV2UXZ/Hr8V55Z9wwfXvlhY3TTbkHGIE5mnSTKO8qmfEfKDqJ9HPMQtMQ3IURtPH/0LNPbRDC5VSjt/txtLR8c4M0HZ9Kc2DM7k7qoV1+xqzGtwUDALbfUq0NC3ThYMZmqPK8xGpvFxsKioob+s7VntfVSep2eVr6tAOga1JW96Xv59O9PubL1lRRZisgqzLK5W5een06whzrcGmwMZm/aXpv20k3p1nOg3tkrLStbx1vvbdddOoAbOt7AS5tfYs7gOWg0GlLzUtmVuotXtr7CvT3utauNmkh8a1wS31xbS/jz/Ts3n7fj/CqUB+vdOF9U7IQeXSRLmjQxiqJw4rbxmHbsqLKOsXdvYj/7tNn/w2hpmvqfraIoFJoLiQuKw03rxqakTVwRewUAxzKPkZSbRHxoPADxIfG8t+c90k0Xh1g3JG3AW+9NO/92ap3QeNaeXmtzjQ1JG4gPibe7T3d3uxuLYmHSL5PIL87nzp/vxKAzMLHrRMZ3Ge+Ijy0aUVP/NyDqp6X8+fq56UgpLCbWaDsSsjfHRLhB76ReqWqd1Fny8kh77z3yNmyk+Px5sFhszrf/7VeHda4lUkymav9BAJi2b0cxmdB4ejZSr4QjNKU/29e3vc6QqCFEeEeQW5TLyqMr2XJuCwuvWIiPwYfr2l/Hy1texs/gh5fBi4RNCcSHxFsTskGRg2jr15an1j3FtD7TSDOl8Z8d/+GWzrdg0BkAuKnjTXy5/0te3foq4zqMY3PSZn45/gtvXf5WdV2zodFouLfHvfyz6z85mX2SvKI82vm3w1PfMD8fiW8Nqyn9GxCO11L+fK8J9WfekbO817U1GsCiwOaMHGYfPsuN4XXbW9ZRap3UJT3zLHlbtuB3zVjcQkKgGWfbTV2H9evQGi/OorGYTBwaPMSJPRKO4uw/2/P553l63dOkmlLxMfjQIaADC69YyKDIQQA80e8JNFs0TF09lSJLEYMiB/HMgGes79dpdbx1+VvM3TiX21fejtHNyNh2Y5nSc4q1TrRPNG9d/hbzt8zn078/JcwzjFmDZjE4anCt+6vX6a13ABuSxLfG4+x/A6JhufKf71NtI5hx8DS9N+zDrMCwzfsxKwrXhQUw1cm7VtQ6qctZu5aYdxfi2bt3Q/RHlKE1GtE2428zomrO/rOdM3hOtefdde48M+AZm0SuvEjvSN4Z+U617fQN78vyMcvr1EeAvKI8Fu9dzKakTZzPP49Fsb1z9vP1P9e57cpIfGs8zv43IBqWK//5GrRaXunciqmtw9mfm0+u2Ux3b0/aela/fFRjqHVSp/P1RedX8QFBIYRwtFl/zWJr8lb+r93/EWIMQUPD3jmT+CaEsFe0h4FoD4Ozu2Gj1kldyMMPkfrGm0S+mGBza1UIIRxt3Zl1vDXyLXqF9mqU60l8E0LUxKwoLE06z9oL2aQVFWNRbM//t1d753QMO5O6o9deR9kvyEUnTnJo8BD0UVGgt22i7YoVDu2gaLpawtR14Vy+7r74GRr2zpnEN1EZiW+iKs8cOsPSc+cZGeRLZy+PBh9BqA27kjqfyy9v6H6IZqalTF0XzjWl5xT+s/M/PD/keYxuDXPnTOKbKE/im6jOtykXWNS1NSOD7FsTtDHZldSFPDCl5kqiRWkpU9eFc32S+Amnsk8xfOlwIr0j0Wtt14BaNmZZva8h8U2UJ/FNVEev0dDG2LSepStl9zN1Z6c/iefAAXj164c+MrIh+ySaGVeeui6c67KYyxrlOhLfRFUkvonyJseE8t7pNBI6RDW5O7V2J3VFZ89ybuYslKIi9FFRePbvh1f//nj2748+NLQh+yiaOFeeui6c6189/9Uo15H4Jqoi8U2Utzkzl/UZ2axKz6KTlwf6condB93bOKlntUjqYpd8gqWwENP2HeRt3kze5s0kffc9SnExhthYNQgOGIDvlVc2ZH+FEMLhJL4JIezl66bjH8H+zu5GpWq1pInWYMBrQH+8BvQHwFJQgGnHDnL+XEvGsmVkLFsuQU+4jKpmv1mqmREn6m/wF4P54dofCPAIYNAXg6qdWbb+1vUOu67EN9GSSHyruwVdWjm7C1Wq9Tp1AEphIXk7d5K3eQt5mzZh2r0bt9BQfEaNcnT/hHAKe2a/iYbxRN8n8NJ7ATC97/RGv77EN+HqJL65LruTurwtW8jdvJm8TZsx7d6NPiICz7598b/pJiJfno8+PLxeHUlb9B6pr75KwIQ7CH/qKUD9ppzy0ktk/bgSS1ER3oMHEz7zOdyCg63vKzp7lqTZs8nbtBmtpyd+48YROm0qGrc65atCAPbNfjP27o1GFqh1uGvaX1Pp7xtSQ8c3kBgnmg6Jb7V3xZYDLO/ZDn+9GyO3HKh2Zbpf+3ZqtH6VZ3dUODFhIvqICILumUTUq6/YBJ36Mu3ZQ8bSpbh3sv1BJCckkLPmT6IWvI7W24fkuXM5/eBDtP7icwAUs5lT903GLSSY1l98TnFqKmenP4nGzY3QaVMd1j/RspWf/VZKFh9tGDmFOXbX9TZ4O+SaDRnfQGKcaLpcNb4lFRQy70gSq9KzMFkstDa683rnVvT0rdukl9HBfhi0WgCuDG66WwnandQFTbqb3M2bSX4hgQtffIln37549uuHZ7++uAUE1LkDltxczj72OBFz55D2zkJruTk7m4z/riDq5ZfxGjAAgIiEFzh61dWYdu7E2LMnuevXU3DkCK0+/EANwl26EPLwQ6T8+xVCHpiCxtA015ERzYvMfmtcg74YVON/JoqioNFo2DVhl0Ou2VDxDSTGiabNFeNbRlExY7YfYrC/D5/FtyVI78YxUwH+el2d23ysTXilv29q7E7qQh99FFADVN62beRt3kz64sWceewx3FvHlgTB/vheObpWHTg3Zy7ewy/Fa9Agm4CXv28fFBXhNWigtcy9bVvcIiPIKwl4pp07ce/Y0eZbtdeQIVhmzabg8GE84uIqvWZBQQEFBQXW4+zs7Fr1WQjRcBaPXtzo12yo+AaNH+MkvomW7j8nU4hyN9hMaIg1ujv8Ojuz8jiUlw9ARy8P4n2cnxzX+qEMrZcX3sOG4T1sGADmjAzSP/qIC59+xoUvl+J75T6728r88UfyExNp/dXyCueKU9PQ6PXofG234XALCsaclmat4xYUVO68elxcUqcyCQkJzJ492+5+CiEaT9/wvk67tiPjGzgnxkl8E64sOzubrKws67G7uzvu7rYJ2//SMhkR6MukvcfYkJFLhLueO6OCuT0yqHxzdXI2v5B/JZ5gc2Yufm7q3b/MYjN9/bxYGBdLpIfz7qDXOqlTLBby9+xRHyrevAXT9u1Y8vLQR0Tgc8UVdrdTlJRE8gsJtPpgMVp3x2fQ1ZkxYwbTpk2zHp85c4a4Ku7qCSGca1vyNpYfXM7p7NO8cukrhHmF8f2R74nyjqJ3WG+HXstR8Q2cF+MkvglXVv7v8syZM5k1a5ZN2cn8Qj4+m8Z90SE8HBvGzuw8njl0Gr1Gw80RgfXuw6MHTlGkKKzt35n2nh4AHM7L55G/T/LogVN8Ed+u3teoK7uTuvT33yd382ZM23dgyc3FLSwMz359CXtqBp79+2OIjq7VhfP37cOcns6x666/WGg2k7d1Kxc++5xW77+HUlSEOSvL5ptscXoaupKhCLeQYEx79ti0W5yerp6r5kHn8pl92axfCNF0/HriV55a+xRXt72av9P/ptBSCEB2YTbv7XmPd8Lecch1HB3fwHkxTuKbcGWJiYlERUVZj8vfpQOwKBDvY+SpduqWf919PNmfk88nZ9McktRtyMjh+94drAkdQHtPD57vGM247Yfq3X592J3Unf/4Ezz79SP0icfx6t8fQ2xsvS7sOWAgbb771qYs6amnMbRtQ9CkSegjIkCvJ3fDRnxHq+tDFRw9RvHZJDx79gTA2LMnaQvfpTg93Tokkbv+L7Te3hjat69X/4QQzrdo9yKeHfgsY9uN5adjP1nLe4X2YtHuRQ67jqPjG0iME6Ih+Pj44FvukYXyQg1udPTysCnr4OXBj6mZDulDpLuBIkWpUG5WFMLc9Q65Rl3ZndR1WPunQy+s8/ZC17GjTZnWaETn749HSbn/9deR/NKL6Pz80Hp7kzxvHsaePTGWBDyvwYNxb9eOs09MJ/TxxyhOTSN1wQICbrsNrcwKE6LZO555nD5hfSqUexu8yS503AQAR8c3kBgnhLP08/PiSF6BTdnRvAKiPRyTcD3XLpKnD54hoWO0dYmUnVl5PHvoDDNL7g46i91JXdHZs3bV00c67gOFzZiBRqvl9MMPoxQW4j1kMOHPPWc9r9HpiFn4DkmzZ3P8llvRGo34jRtHyEMPOqwPQgjnCTIGcTLrJFHeUTblO1J2EO1T+yHRqjgjvoHEOCEawr0xoYzZfpAFx5MZG+rPjuw8lpxN59+d6h4zOq3dY7PgcJ7ZwlXbDuJWsvxSsaLgptEwdf8p/hHiX78PUA92J3WHR5Z5SLj0tmPZtaQUBTQauiTWbnZYWbFLPrE51rq7E/7cczZBrjx9VBStFjluGEYI0XTc0PEGXtr8EnMGz0Gj0ZCal8qu1F28svUV7u1xr8Ou0xjxDSTGCdEYevl68kG3NrxwNIlXT5yjlYeBuR2iuD687s/TzWkfVXOlJsD+2a8aDfqwMPyuvRbvESPQuNV9ET8hhLDH3d3uxqJYmPTLJPKL87nz5zsx6AxM7DqR8V3GO+5CEt+EcCmjgv0Y5cCdH0onWBRbFFakXGBEoA8hBuc+P1cZ+5+pW/0HGd98Q+aKr7mwdCl+Y8bgf8P1uLdz3tRdIYRr02g03NvjXv7Z9Z+czD5JXlEe7fzb4al37CKfEt+EEPZw02qYfuAUf/bv4uyuVEprb0W3kBCC77mHdj+tJHrB65izMjl+080cu/lmLixbhmKxNGQ/hRAtmF6nx0vvRYhniMMTOpD4JoSwX09fT/Zm5zm7G5Wq9eLDAJ59+uDZpw/FU6dy5tHHODdrNr6jRqHz93dw94QQLVmxpZh3dr3D539/Tl6xGkQ93Ty5tfOt/Kvnv9BrHT/8IfFNCFGdO6OCmXX4LGcLioj38cRTZ3t/LM7b6KSe1TGpy9u+g4wV/yX75/9haNOG8OeeRVvDujFCCFFbCZsS+O3kb0ztM5X4kHgAdqXu4p1d75BZkMmzA591+DUlvgkhqjN53wkAnjl0xlqmAZSSX8+O6OmMbgG1WdIkJYXMb78lc8XXmLOy8Pu//yP288+s6y0JIYSjrTy2kvnD5jM0eqi1rFNgJ8K9wpn+53SHJXUS34QQ9to8sOluu2f/kiaXXY4+NBS/cePwvuwyNHo3UBTyDxywqefRqZPDOymEaJkMOkOFNeoAor2jHTr0KvFNCGGvGI+mu/C3/cOvZjNFSUmkvfMOaQsXqmXlt8lwwDpOQghR6pbOt7Bw90LmDZ6HQacG0kJzIYv2LOLWzrc67kIS34QQdlp27ny152+qx3p49WV3Utf+t18bsh+iBVEUBcVkqvK8xmhEU3bhV9Fi7U/fz6Zzmxi5fCQdA9Wh0IPnD1JkKaJ/RH8e+eMRa93XR7xe5+tIfBOOIvHN9T1b5lk6gCJFwWS2YNBqMGq1zSOpy924Ee/LLsMtIKAh+yNcnKIonLhtPKYdO6qsY+zdm9jPPpXAJ/Ax+DCy1UibsnDPcIdfR+KbcASJby3DgaHdK5QdzStg+sFT3B8T6oQeXWR3Upf53fecmz0Hj7g4vC+/DJ/LLpOFOUWtKSZTtQEPwLR9O4rJhMbT8euRCdX7e97ntxO/cSzzGB5uHsSHxDO1z1Ta+LWx1ikwF/Dylpf5+fjPFJoLGRw5mKcHPE2wMdhaJyknibkb57Ll3BY89Z6MbTeWh3s/jJv2YmjZcm4LL295mcMZhwn3CufeHvcyrv04u/o5b8g8h33m6kh8E44g8a3lauvpztNtI3ng7xOsC3LebHm7k7rYjz/CnJlJzpo1ZK/6g/SF76ILDsJnxGX4XH4Zxj590GjtXstYCDqsX4fWeHE9H4vJxKHBQ5zYo5Zj67mt3NL5FroFdcOsmFmwfQH3/Xof31zzjXVx3/mb5/PnmT955dJX8DZ488KmF5j6x1SWXLUEALPFzP2/30+wMZglVy0hNS+Vp9c9jZvWjYd7PwzA6ezTTPl9Cjd2vJEXh77IxqSNzPprFiHGEAZHDXba5y9P4ptwNIlvLY+bBs4VFDm3D7WprPPzw2/sWPzGjkUpLCR30yayV63izONPoOTn433pMLxHXIb3sKFo5VuIqIHWaJS/J06y8IqFNsfzhszj0qWXkpieyCXhl5BdmM2Kwyt4aehL9I/oD8DcwXO55ptr2JW6i/iQeP46+xdHM4/y3qj3CDYG0zmwMw/0eoDXtr3G/fH3o9fpWXZwGVHeUTze93EA2vq3ZUfKDpYkLqkyqbvp+5t4b9R7+Ln7ceP3N6Kh6mGqZWOWOegnIvFNOJbEN9f1v7RMm2NFgeTCIj44k0ZfPy8n9UpVp8WHATQGA95Dh+I9dCjMnIlpz15y/lhF2jvvUHD0CCH33+/Ifgoh7JCdnU1WVpb12N3dHXd39xrfl1OYA4Cfu7oBdmJ6IsWWYgZEDrDWaevXlgivCHalqEndrtRddPDvYDMcOyhyEHM3zuVwxmG6BHVhV8ouBkQMsLnWoMhBzN8yv8q+jIgZYZ3pelnMZXZ8aseT+CaEqMqde47ZHGuAIIMbQ/y9mdW+4hJMjanOSV15xu7dMHbvRshDD6EUOff2oxAtVVyc7aKYM2fOZNasWdW+x6JYeGnLS/QK7UWHgA4ApJnS0Gv1+Bpsnw0J8ggiLT/NWifIGGR7vuQ4zaTWSc9Pr7ROTlEO+cX5eLh5VOjPv3r+q9LfO5PENyFEqSQn7hhRk1oldUpxMVgsaAwXF967sHw5pq3b8OjWjYDbx6PRaNDoHb8foxCiZomJiURFXfymaM9duuc3Ps/hC4f5+B8fN2TX6mVf2j6OZh4F1CHcrkFdHX4NiW9CCHu8cuwc/2oVWmHPV5PZwtsnU3i0jeNn6NurVk/+nnn8cVLf/I/1+MKXS0l+IQGLyUTa22+T+uprDu+gEMJ+Pj4++Pr6Wl81JXXPb3yeNafXsHj0YsK9LgaiYGMwRZYisgqzbOqn56cT7BFsrZNuSrc9X3JcOiQb5BFUaR1vvXeld+nKO5d7jok/TeTWH2/lxc0v8uLmF7n1h1uZ8NMEzuWeq/H9tSHxTQhhj1eOnyPXbK5QbrJYeOW4Y+NSbdUqqctPTMRr6MXZOxeWLSVsxpNEv7GAqNdfJ/PHHxzeQSGE4ymKwvMbn2fVyVUsHr2YaJ9om/NxQXG4ad3YlLTJWnYs8xhJuUnEh8YDEB8Sz6GMQzZJ24akDXjrvWnnry4HEh8az8akjTZtb0jaQHxIvF39nPXXLIotxXw77lvW37qe9beu59tx32JRLMz6a1ZdPnqVJL4JIeyhQKUTuBJzTPjrdY3foTLsGn49O+MpAIrPJXNhyadkfvMtKAoF+w+Qu3Ytpp27wFxMcUoqZ596GoDIF55vuF4LIerl+U3Ps/LoShZctgAvvZf1GbjSO2g+Bh+ua38dL295GT+DH14GLxI2JRAfEm9NyAZFDqKtX1ueWvcU0/pMI82Uxn92/IdbOt9inehwU8eb+HL/l7y69VXGdRjH5qTN/HL8F966/C27+rk1eStL/rHEZv28Nn5tmNF/Bnf+dKdDfhYS34QQ9ui0dg8a1IkRgzf9bZPWmRWFXLOFCVHBVby7cdiV1EUmvABA7qaNBE6cgOcll5C9ejWm7duJfvNNAMzZ2WT/vkqCnRD1ZGmELYaWHlgKwF3/u8umfO7gudaFgZ/o9wSaLRqmrp5KkaWIQZGDeGbAM9a6Oq2Oty5/i7kb53L7ytsxuhkZ224sU3pOsdaJ9onmrcvfYv6W+Xz696eEeYYxa9Asu9eoC/cKp9hSXKHcYrEQ4hlS249dKYlvQjSuxohxDWFO+ygUFKbuP8XjbcLx0V28K2fQaojxMHBJc1rSxKtvP5Kem4nfNdeQuWIFPlf9w3quYP9+DLGxDu+gEC1NdQuUdtq+zSEr0e+ZuKfGOu46d54Z8IxNIldepHck74x8p9p2+ob3ZfmY5bXuI8C0PtNI2JzA0/2fpmuwOjliX9o+XtzyIo9e8mid2qyKxDchGkdjxLiGcHOEuqdrKw93+vl54aZteslnrZK60Cenk5yQQNYPP+A5YADB991nPZf92+/4jR3j8A4K0RJojEaMvXtj2r7d2V1pUp5Z/wz5xfnctvI2dBr1W7FZMaPT6Hhu/XM8t/45a931t66v17UkvgnRcFwpxg0K8HZ2F6pUq6TOLSCAqPmVLxoaNuNJh3RIiJZIo9EQ+9mnKNUMS4AaGFuS6X2nN9q1JL4J0XCcGePePJHM80eTuCc6mLkdomt+QzPmsMWHhRD1o9Fomuywg7Nc0/4aZ3dBCOEgzohxO7Ly+ORsOnFeNS+h5ArsWtIkaeYsis7Zt/ZK1sqVZH7/fb06JYQQjUXimxCuKbfYzJTEE7zSKQY/Jy810ljsulOnCwzg6P+Nwdi7Fz4jRuDRrRtuoaFoDAYsWVkUHDlC3rZtZK38CbfQECLmzGnofgshhENIfBOi+ajN/tZPHjrNyCBfhgX68NqJhlkU+Gx+IQCRHoYaajYOu5K60IcfJnD8eDK++ooLn39BwZEjNue1Xl54DRxIxJzZ6gbYQgjRTEh8E6L5sHd/62+SL7An28TPfTo6vA8WReG148ksPJVCrtkCgLeblskxoTwSG4bWiUuy2P1MnVtwMMGTJxM8eTLmzEyKkpJQ8vPRBQSgb9Wqya4rI4QQNZH4JkTzYM/+1mfyC3nm0BmW9WyHh65WG2fZJeFoEp8nnefpdpH0K1mXblNmLv8+do4Ci8KMthEOv6a96jRRQufnh87Pz9F9EUKIKpXu9Vp2j9qGIPFNiKardH/r6uzOziOtqJgrth6wlpkV2JiRywdn0jh5aTy6enxRW3buPK92jmF08MU4EedtJMKg58mDp5tfUieEEI3Bolh4d/e7fLLvE/KK8wDwcvNiQtcJ3NvjXrQax38LF0I0b0MDfPijbyebskf2n6SDpwdTWoXWK6EDyCg2096z4h3C9l7uZBRX3AGnMUlSJ4Rost7Y/gZfH/6aR3o/Qs/QngDsSNnBO7veodBcyEO9H3JuB4UQTY63m44u3rbr3XnqtAToK5bXRZyXkQ9Op/F8R9s17z44nUacA9qvD0nqhBBN1ndHvmPWwFmMaDXCWtYpsBOhnqE8v/F5SeqEEI3u2XaR3L7nKH9eyLbu9bo1M5ezBUV81qOtU/smSZ0QosnKLMikjV+bCuVt/NqQWZjphB4JIZqjr3t1cFhbgwK8+at/Fz48k8bhvHwArg7x586oYMLd9Q67Tl3UKqkz7dxJ9h+rUYqK8Bo4QKb3CyEaVKfATnyx/wtm9J9hU/7F/i/oFNCpinfVjcQ3IYQ9TucXEuWur3RCxOn8QqKduGad3Uld1s//48y0aWg8PNC4uXH+o48IffRRgu6+qyH7J4Rowab2mcqU36ewMWkj8SHx8P/t3Xl4FFW6+PFvdyeddPZ9J4QlhARCEpBdHRQU9DcqCFxUZsQRHa4CisCMoCKgCCNeZ0RxFDdABHFEcEHlXgVFQHZkl30JSxKykL2zddfvj0BDk4UsTaqX9/M8eZ706dNVb5fk9a2qU+cAe7L3kFmSyb8H/Ntm+5H8JoRoqB6bD7KnbydC9dZX5fIqq+ix+SDnb0tVJzAauEwYQO577xEwfDgJ27eRsG0roU8/Tc577zVr5zkL3uPksOEc7tqNI336cmbsOMpPnLTqYy4vJ/OllzjSsxeHunbj7PinqMrJsepTef486WPGcCg1jSN9+pI19zUUlZ9AEUI0X/eI7qwespr+sf0pqiiiqKKI/rH9+WbIN3QL72az/Uh+E0I0lAJoqPkEbYnJjIdW3SfyG3ylrvzUKaL/9U80uur104L/8gjZb71FVW4ubsHBTdp56fbtBD70EIbkzigmExf+9S/SHxtNu9Wr0V5a9DdrzhyK1/9C9Lw30Pr4kvXyy5wd/xRxny4DQDGZODPmv3ELDSHu02VUZWdz/tkpaNzcCJv4TJPiEkLYh4ziDCK8I2p9ICKjOINIH9vMByX5TQhxPdOPngNAA8w9mYHhqgLOhMKuwlI6q/z0a4NLSsVoROvjY3mt0evR6vWYS0ubvPPYD94n4P4heMTH49mxI1Fz5lB1PoOyAwcAMBUVkf/FSsKffRbvXr0wdO5E5JzZGH/7DePu3QCUbNpE+fHjRM2di2diIj633kro009xcdkylIqKJscmhFDfoJWDyCvLq9GeX5bPoJWDbLYfyW9CiOvZV2xkX7ERBfi9uMzyel+xkWMl5XTyMTAvMVbVGBv1oET+5yssZ5hQfRZZsGoVuoBAS1vQw39ucjDmoiIAtJdmcy87cAAqK/Hu09vSx6NtW9yiIindvRtDairG3bvx6NABt5AQSx/vm2/GPGMm5ceO4XnNOnFCCMehKEqtS3SVVpXioat9Ee+mkvwmhKjPyrT2ADz9ezqz4qPxddOpHFFNDS7q3CMjyf/8c+sPh4RQ8NXXVxo0miYnPcVsJmv2HAxdu+LZoXoB3qrsHDTu7uiuWRLELTgE06VxJ1XZOTVuj1x+fe3YlMvKy8spLy+3vC66lGyFEPZh7va5AGg0Gub/Nh9PN0/Le2bFzL7sfTZ9+lXymxCiodS+GlefBhd17detvZFxkPnSS5QfPUrrZUtv6H4A5syZw8yZM2/4foQQTXMo7xBQfaXu6MWjuOuuPGXmrnWnQ1AHHun0iM32J/lNCOEM7GLy4cyXXqb45/W0/mQJ7hFXFut2Cw1BqazEVFhodTZblZuD7tLtCLfQEIz79lltryo3t/q9q25ZXG3q1KlMnDjR8vrcuXMkyW0MIezGRwM/AuCFjS8wpccUfPQ+1/mE/ZL8JoRoKQ0u6vK//LJB/QIGD27wzhVFIevlWRT9+COtP16MPsZ6HTXPTp3A3Z2SzVvwG3gnAOUnTlJ1PgOv1FQADKmp5Ly7wOoptZJNv6L18UHfvn2t+/Xw8MDD48p4nMLCwgbHLNSjKAqK0Vjn+xqDodbxV8Jxzbp5VovsR/KbUJvkN2ELDS7qMqY+Vz2I2M0NFKX2ThpNo5Je5ksvUbj6W2Leno/W25uq7GwAtL6+aD090fn6EjD0frJe/Qc6f3+0Pj5kzZqFITUVw6Wk5923Lx7t2nH+788S9rfJVGXnkD1vHoEPPYRWr96szsK2FEXh9EMjMf72W519DF270nrpJ5L4RKNJfhNqkvwmbKXBRZ2+XVtMObn43XsPAUOH4pnQ/EHK+Z8uByD94VFW7ZGzZxNw/xAAwqdORaPVcvbpp1EqKvC5uS8RL75o6avR6Wj17jtkzJzJqQceRGsw4D94MKFPjW92fMJ+KEZjvQkPwLhrF4rRiOaqJxiFaAjJb0JNkt8cz4nScjblF5FTUYX5mvPASW0iav9QC2hwUddu9WqMe/aQ/8VKTv/pz+hjYwkYNhS/e+5B59O08S6Jh36/bh+thwcRL75oleiu5R4dTWwzZ38XjiN+00a0hisTPJqNRo72vVnFiISjk/wm7IXkN/v3yflcnj1yhiB3N8L0blarS2hwkKIOwJCSgiElhfDnplK4Zg0FK1eRNfc1fPv3J3L2K3I7QLQIrcFgNZ+YELYg+U3YA8lv9u9fpzKZ0iaS8a3D1Q6lhiY9/ar19CRg8GD00dFkvzWfwu++I2LaCyBJTwhhY6cLT7Mtcxt5xjzMmK3eeyLlCZvvT/KbEKI+BVUm7g0LUDuMWjW6qKvMyqJg1Zfkr1qJUmrE7957iJgxHd2lWdKFEMJWVhxZwawtswjwCCDEEGI1SFyDxuZFneQ3IcT13BMWwM95RYyKtu2qNrbQ4KKu8PvvyV+5itLt2/G+uS/hzz6Lzx/+YFkAWwghbO29ve8xPm08o5NH39D9SH4TQjRUG4MHr57MYGdhCYneBty11k8kPxYTqlJkjSjqzk2chHtkJEGjRuEWHEzl2XNcXLqsRr/mrI0ohBBXK6wo5M64O2/4fiS/CSEaasn5XLx1Ojbnl7A5v8TqPQ0OUtS5R0aCRkPh6tV1d2rG2ohCCHGtO1vfyebzm2mV0OqG7kfymxCiobb3tt8VWuxm7VchRMvZkbmDRQcWcTD3INnGbN647Q36x/a3vK8oCm/vfpsvjn5BUUURqWGpTOs1jdZ+rS19CsoLmL11NuvPrkeLlgGtBzClxxS83K88uXc47zCzt85mf85+Aj0DeSjxIR7t/GiD44z1i2X+b/PZk72HDoEdcNNap6yRiSObcRSukPwmhGisCrOZ9LIK4jw9cNPax6TQWlttqDIzk4xpdc+1JISwH8YqIx0CO/B8z+drff+j/R+x7PdlTOs1jaV3L8XgZmDMD2MoN5Vb+jy74VmO5x/nvTveY37/+ezM2smMzTMs7xdXFDPmhzFE+kTy2R8/Y9JNk3hn9zt8fuTzBse54sgKvNy92Jm1k08PfcqSg0usflqK5DchxGWlJjPPHEqnzS97+cO2Q5wrrwDguSNneet0lqqxNWlKk9qY8vPJ/+ILIl9+yVabFELcILfE3MItMbfU+p6iKHzy+yf8tctfuT32dgBm3zybfp/1Y136Ou5qcxcn8k+w6dwmlv+/5XQK6QTA1J5TefLHJ5l802TCvML49sS3VJorebnPy7jr3Gkf2J5DeYf4+MDHDO8wvEFxrhm6xjZfuJkkvwnhON48ncW32fkcKy3HU6ulu78XL7SLor2Xp022P/vEeQ4UG1mZ2p4H956wtN8a6Mv/nMpUdf46m12pE0I4h7PFZ8kx5tArqpelzVfvS3JoMnuy9wCwJ3sPvnpfS0EH0CuyF1qNln3Z+yx9uoV3w13nbunTN6ovpwpPUVBe0KiYKk2VnCw4SZW5qjlfTQjhAjbnF/OX6BC+7RbPf1LbUWmGEbuPU2Iy2WT732cXMCc+hp4BPlx90zXB25NTxvI6P9cSbHalTgihvqKiIgoLCy2vPTw88PBo3FxKucZcAII9g63agz2DyTHmAJBjzKnxvpvWDX8Pf6s+0b7R1tswBFv24e9x/bnfjFVG5mydw9fHvwbgmyHf0Mq3FbO3zibMK4zHkh9r1HcTQji/T1PaWb2elxhL50372VtkpHdA05b9u1peZRUh+prlU6nZjNoj6+RKnRBOJCkpCX9/f8vPnDlz1A6pWebtmsfhi4f5aOBH6HVXVnToFdmL/z31vypGJoRwFEVV1VfoAtxsM+9kiq8XP+QW1mhfej6Xm/y9bbKPpmrwlbqz48fX+76psKjZwQghmufgwYNER1+5OtbYq3Rw1dW0slxCva7Mt5RblkvHoI4AhBhCyC3LtfpclbmKgvICQgwhV/oYrftYrgIarK/y1WVd+jpe+8NrpISmWC2a3T6gPWeKzjTym9VN8psQjqGxdyPMisK0Y+fo4e9Noo/BJjFMbRvJQ3tPcKSkDJOi8MHZbI6UlLO9sIRVae1tso+mavCVOq2Pb70/7lFR+N93342MVQhxHb6+vvj5+Vl+mlLUxfjEEGIIYWvGVktbcUUx+7L3kRKaAkBKaApFFUUcyD1g6bMtYxtmxUxyaLKlz86snVSaKy19NmdsJs4vrkG3XgEull0kyDOoRruxymhV5DWX5DchHENj70ZMOXKWQyVG3k1qXW+/xugZ4MPa7gmYFIWO3gZ+zisiRO/Gt13jSfH1uv4GbqAGX6mLmjP7RsYhhCoURUExGmu0m2tpcyallaWkF6VbXp8rOsehvEP46/2J9InkT4l/YsHeBcT6xhLtG8383+YT6hVqeRq2bUBb+kb3ZeavM5nWaxpVShWzt81mUJtBhHmFAXB327t5Z887TN80nUc7P8qx/GMs/X0pf+v+twbHmRScxC9nf7HMR3e5kPvi6BeWAtMWJL8JZ+SM+a0xdyOmHjnLj7mFrEprT5Snvs5+TRFn8OD1jrE23aYtyIMSwmUpisLph0Zi/O03tUNpcQdyD/Do/16ZBPi1Ha8BcG+7e3nl5ld4tPOjGKuMzNw8k6KKItLC03h3wLt46K4k0FdveZVXtr7CY//3GFpN9eTDU3tMtbzvq/dlwR0LmL11NiNWjyDAM4AxXcY0eDoTgKe7Ps0TPz7BifwTmBQTS39fyvH84+zO3s3CQQttcCSEcE7Omt8u342oj6IoPHf0HN9nF7AyrT2tDY2/Y1Gfy2P0rqUB9FoNeq16jytIUSdclmI0XjfhGbp2RWOwzTgMe9I9ojv7Ru2r832NRsO4tHGMSxtXZx9/D3/m3jq33v0kBCWw+K7FTY6za3hXVtyzgg/3f0h8QDy/nv+VxOBEPrn7EzoEdmjydoVwdq6c36YcOcuqCxdZ1LktPjotF8qrh4D4uukw6JpfcHXYsK/ewR+RHu6MiAxiclwEWk3LPg8rRZ0QQPymjWhrSW4agwFNC/9RCmut/Foxo88MtcMQwmG5Wn5bfL76gaz7dx+zan+jYyseiGzYQ1r1mZcYyz9OZDAiIog0v+oxdL8VlvKfzDwmxIWTW1HFO2ey8dBoeTquZScilqLOQV07JsKRx0jYUl3H4XrJS2swoPVSd4CrqKm4orjWdo1Gg16rt5rYWDgPyW+1k/zWMJm3pd7Q7f8nI4/p7aO4LyzQ0nZniD8dfTxZci6XFWntifbUM+90lhR1omGO9r1Z7RDsUl3HxdC1K62XfuKUZ6XOrM+nfer9bxbuFc597e/jiZQn0Gpk2k1nIfmtdpLf7MOOwhLmJrSq0Z7s48XOwuoH0Hr4e3OurKKlQ5PJhx2JxmDA0LVrvX2cdYxEfRpyXIy7dmHKy8NcWnrlR87+7d6sm2cRagjlseTHmHfbPObdNo/Hkh8jzCuMF3q9wLAOw1j6+1I+3Peh2qGKZpL8VjvJb/YnykPPsozcGu3LMnKJ8qh+yvZipQl/t5a/biZX6hyIRqOh9dJPan1E3dLHScdI1Ke+42I2Gi1nt3L273i+PvY1k7tPZlDcIEtbv1b9iA+MZ8XhFXww8AMivSN5b+97PN7lcRUjFc0l+a12kt/sz/T2UTy+/xTrcgtJvTSmbk9RKcdKy3m/UxwAu4tKuS8soMVjk6LOwWg0GjQuNDaioeo6LpfPco27dtX5WVc8+3cUu7N3M633tBrtiUGJ7MneA0BaWBqZJZktHZq4ASS/1U7ym30ZGOLPhp4dWXI+lxOl5QDcHuTHws7BxF6aPuWR6BBVYpOiTjg1Oft3bBHeEaw8upJnuj1j1b7y6EoivCMAKCgvwE9f/7xVQjgjyW/qaW3w4IV2UWqHUYMUdcLpydm/45rUbRKT1k9i47mNdA7pDMCBnAOcLDjJP/v9E4D9OfsZ2GagmmEKoRrJb+ooqKxiWUYeR0vLAEjw9uTByGD83HSqxiVFnUqccfkWIWztttjb+Hrw13x+5HNOF54G4Obom5l3+zyifaqXChrRcYSaIYpaSH4Tzmx3YSkP7jmOp05L2qW1XhecyWbe6SyWp7Sji4rrv0pRpwI1l29p6jxHQqglxjemxu1XYb8kvwlnN/3YOe4M8ef1hFa4aav/XVWZFSYeTufFo+f4smu8arFJUacCNZdvkXmOhKMprChk1dFVnCg4AUA7/3YMiR+Cr95X5chEbSS/CWe3p6iU/7mqoANw02oYGxvOoB2HVYxMijrVtcTyLQ15Qsq4axeK0ShjM4RdOZBzgDE/jsFD50FySDIAHx/8mPf3vc+COxaQFJykcoSiPpLfhDPy0ek4V15BvLenVfv5sgq8dTKmzqW1xPItDZ3nSAh7M3f7XPrF9GNGnxm4aavTVZW5ium/TufVba+y+K7FKkco6iP5TTij+8ICmHjoDC+2i6K7vzcA2wtKeOn4eYaEB6gamxR1LkKekBKO6EDuAab3mW4p6ADctG482vlRHlj9gIqRCXsi+U20pOnto9Bo4Knf06lSFADctRpGRYXwfLtIVWOToq4FOMri1DLIWNgbb3dvMoszaevf1qo9syQTL3f5n7g9kPwmXIlJUdhZWMrkuAieaxvFaWP15MOtDR546dRfeVWKuhbgKJf/ZZCxsDeD4gbx4q8vMvmmyaSGpQLw24XfeH3H69zd5m51gxOA5DfhWnQaDQ/sOc4vPTrS2uBGoo99rdYhRV0DNGXOJUdZvsVeBxk7ytl/fZzhO6ht8k2T0Wg0PLfxOUyKCQA3jRv/lfBfMs2JjUh+k/zWFLXF7IjfoykSvD1JN1bQ+tKSYPZEirrraOqcS46yfIu9DjJ2lLP/+jjDd1CTyWxiT/Yenkh5gqe7Ps2ZojMAtPJthcHNvs6OHZXkN8lvTeUM36GpprSJZObx8/zdHEGKr1eN266+Kq4q4TRFXd7SpeR9+BFVOTl4dOxIxAvPY+jSpdnbbc6cS44yeNde4nSUs//6OMN3sBc6rY4xP4zhq8FfEeMbQ4fADmqHpKobkeMkv7VgHE6QGxryHcD+v0dzjdxbPWfmqH0nufq0RQE0wPnbUlWIqppTFHWF333HhX+8SsSMGRhSupC3+GPSH3ucdt9/h1twsM320xJzLrkyRzn7r48zfAd70j6wPWeLzxLjG6N2KKpqiRwn+e3Gcobc0JDvAPb/PZrri9T2aodQJ6co6nIXLSZg+HACht4PQMTMGRSvX0/+FysJ+evjNttPS8y5ZK9aagyIvZxVN4czfAd7MT5tPK/veJ1xqeNICk6qcdvVR++jUmQtqyVynOS3ul/bijPkBmf4Ds3VJ9B+847DF3VKRQVlBw5YJTaNVot3794Yd+9WLzAn48rjJ4R6nvzxSQDGrxtvdeavKAoajYY9D+9RK7QWIznuxpP8Jq7nYHHDC/0kFZ+IdfiirupiPphM6K65BaELCab85MlaP1NeXk55ebnldVFR0Y0M0WHZYgyIMzzlJdTz4cAP1Q5BdY3NcZLfGkbym2iM/tsPo+HKuLn6yJi6FjZnzhxmzpypdhh2zxZjQOQMWDRH94juaofgcCS/NYzkN+f30dls/n3mAtkVVSR5G3ilQzRd/bybtK1tva+sM72/qJSZx8/zZKswbrq0TNiOghLePZPNNFlRonncAgNAp8OUm2vVbsrJxS0kpNbPTJ06lYkTJ1penzt3jqQkWRi8Nk0ZP+EMT3kJ9RzOO9zgvglBCTcwEvvQ2Bwn+a3hJL85ry+zLjLj2HleTYihq58375/J5sE9J9jYsyOhevdGb6+Vp97y++P7TzErPoYBwX6WtiQfA1GeeuaeyOCu0ABbfIUmcfiiTqPX49mpEyWbt+A7YAAAitlMyZYtBI4cWetnPDw88PC4MmlgYWFhi8TqKpzhKS+hnuHfDEej0VjGzdXHFcbUNTbHSX67sSS/OYYFZ7IZGRXMg5HVwxbmJsTwY24hyzPyGN86vFnbPlRiJPaqIu+yWE89R0rLmrXt5nL4og4g+JFRnJ8yFc/OnTF0SSZv8ceYjUYC7h+idmguS56QEk21Zugay++/5/3O6zte55FOj5ASmgLAnuw9fHzwY5daUeJG5ThFUTDqqwvAUpMZjclki3Bdg0c9qwmYzS0Xh5Px0mqbXRBXmM3sLS7lqdZhljatRsMtQT7sKCxpbojEe3ny5uks/tmxFXqt1rLPN09nEe/l2eztN4dTFHV+d99NVd5Fst96E1N2Dh6JicS+/16dt1+FEPYryifK8vuknycxpccUbo251dKWEJRAhHcE83+bT//Y/mqE2OJuVI4zmhXunreo+sWOY80PVIhmOn5rMt66uldkKCoqsrr6fO2VaYC8ShMmhRq3WUPd3TlWUk5zvZoQw8N7T5L260GSfKqLuIPFZWiAj7u0afb2m8MpijqAoD+NJOhPtd9uFUI4pqP5R4nxqTnxcIxPDCcKTqgQkXokxwlBjfGh06dPZ8aMGS0aQ1c/b7b2TmRl1kVLkXhfWCBDwgPqLUhbgtMUdTeKxmAgYddOy+9CiJbT1r8tH+z7gJl9ZuKuqz7rrjRV8sG+D2jr31bl6Byfl7cXx26qnh1fY/AEGQcmVOal1db7/sGDB4mOjra8vvYqHUCQuw6dBrIrKq3asysrCfNoftlTYjLhrdPx5yj7uxsoRd11yNgwIdQzrdc0xq0bx4AVA4gPjAfg6MWjAMy/fb6aoTkFrVaLj6/9zo4vxLV8fX3x8/Ort49eq6WLjxcbLhZbnkQ1KwobLxbzaHTzC7HkTQe4NzSAByOD6BlgX38/UtQJ4cI+PfQpi/YvIseYQ0JQAlN7TCU5NFntsCySQ5P5/v7v+fbkt5wsqJ5od1DcIO5uczde7nKyJYSo3ZhWoTx9KJ0UXy/S/Lx4/2w2pSYzD0QGNXvbbyfG8llmHsN2H6eVp54HI4MYHhFEhEfjp0qxNSnqhHBRa06u4bXtrzGt1zS6hHZhycEljPlxDN8M/oZgg20WiW+u0spSvNy9GN5huNqhCCEcyODwQHIrq5h7MoPsiio6+Rj4tEvbJs1Rd627QgO4KzSAnIoqVmTm8VlmHq+ezKBfkB8PRgYxMNgfN606QxmkqBPCRX188GOGxg9lSHz1tBgv9n6RDWc3sOrYKh5Lfkzl6Kr1+08/BsYNZEj7IXQN76p2OEIIBzI6JpTRMaE3bPshejf+OzaM/44N44Oz2bx8/DxrcwsJcnfj4ahgxrcOx0tX/xhBW5Oi7joURcFYJev5CftgcLPNpKaVpkoO5h5kdPJoS5tWo6VXVC/2ZNvPhL5zbpnDV8e+YvT/jSbaJ5rB7Qdzb7t7CfMKu/6HhRDiBsquqOSzjOordWfLKvnjpXF2GeWVzE+/wK7CUj5LbdeiMUlRB5gvTRSZkZFR472yqjLuXXNvS4ckRK2+HvQ1nm41J7e8/G+3oKDAahBxbXM4AVwsv4hJMRHsaX2bNdgz2DJ2zR70j+1P/9j+5JXl8c3xb/jq+Fe8/dvb9Inuw5D2Q+jXqh9uWklj9akvvwnhKC7/+zXbwcTO32bnszwjj5/ziujg7cEj0SEMCw/E3/1KLuru780tWw+1eGySDYGsrCwAevTooXIkQtQvnvh63+/cubPVazXmcLoRgjyDGNVpFKM6jWLp70v5545/suHsBgI9AxneYTijk0djcJMph2oj+U04k6ysLGJjY1WNYcLv6QwOD+TrrvGk+dX+wFa43p2nm7kcWVNIUQekpaWxbt06br/9dg4ePIivr6/aIdmNoqIikpKS5Lhcw96Oi9lsJj09naSkJNzcrvxZ13aVDiDQIxCdRkdumfUi8blluXbzkMTVcow5fH38a7469hUZJRncEXcH97e/n6zSLD7a/xF7s/fy3p3vqR2mXZL8Vjd7+zu2F/Z4XMxmM1lZWaSlpakdCnv6dr7uWDmDTsvkNhEtFNEVUtQBbm5udOvWDYDo6OjrzoHjSi4vxyLHxZo9HpfGnL2669xJCk5ia8ZWy1JbZsXMlowtPNjxwRsVYqP9ePpHvjz2JZvOb6KdfztGJIzgj+3+iJ/+yjFPDU3l3q9kiERdJL/VzR7/ju2BvR4Xta/QFVWZav39Wr5u6q0qIUWdEC7q4aSHeX7j83QK7kRySDJLfl+CscrI4PaD1Q7NYtqmaQxqM4gldy2hc0jnWvuEeoXy1+S/tnBkQghX02HDPup7TE0BNMD521JbJqBaSFEnhIsa1GYQeWV5vL37bXKMOXQM6si7A94lxGA/S9+s+6911x0r5+nmyROpT7RQREIIV/VFanvL7woKf9p7gtc7xhJhg7nvbEWKuks8PDyYPn16nWOQXJUcl9o5y3F5KPEhHkp8SO0waiiuKK7192v56O1riR575Sz/Xm1Njkvt5LjUrk+gdb7RajR08/OitcF+jpNGURRF7SCEEOJqXRZ3qXc+PkVR0Gg07HnYfubUE0K4lna/7GVd9wS7KurkSp0Qwu58OPBDq9dP/vgkM/rMkEmHhRCiHlLUCSHsTveI7lavtRotXUK70Mq3lUoRCSGE/ZOiTgghhBDiOh7dZ73aTrnZzLOHz9aYs+6j5DYtGZYVKeqEEEIIIa7j2vnnhoYHqRRJ3eqfEtlFvP3228TFxeHp6UnPnj3Ztm2b2iG1uF9++YV77rmHqKgoNBoNX375pdX7iqLw4osvEhkZicFgYMCAARw9elSdYFvInDlz6N69O76+voSFhTF48GAOHz5s1aesrIyxY8cSHByMj48PQ4cOtSzLJGxLU+8MUaI+rp7jJL/VTnJc48xLjG3Qj5pcvqj77LPPmDhxItOnT2fXrl2kpKQwcOBALly4oHZoLaqkpISUlBTefvvtWt+fO3cub775Ju+++y5bt27F29ubgQMHUlZW1sKRtpz169czduxYtmzZwg8//EBlZSV33nknJSUllj7PPPMM33zzDZ9//jnr16/n/Pnz3H///SpG7Rwm/DTB6qfCVMHLW16u0S6uT3Kc5Le6SI5zPi4/pUnPnj3p3r078+fPB6rXl2vVqhXjx49nypQpKkenDo1Gw6pVqxg8eDBQfRYbFRXFpEmTmDx5MgAFBQWEh4ezaNEiHnjgARWjbTnZ2dmEhYWxfv16br31VgoKCggNDWXZsmUMGzYMgEOHDpGYmMjmzZvp1auXyhE7rhc2vtCgfrNunnWDI3F8kuOsSX6rm+Q4x+fSY+oqKirYuXMnU6dOtbRptVoGDBjA5s2bVYzMvpw8eZLMzEwGDBhgafP396dnz55s3rzZZZJeQUEBAEFB1eModu7cSWVlpdVx6dixI7GxsZLwmkmKNduQHHd9kt+ukBzn+Fz69mtOTg4mk4nw8HCr9vDwcDIzM1WKyv5cPhaufJzMZjMTJkygb9++dO5cvQZpZmYmer2egIAAq76udFyEfZMcd32S36pJjnMOLn2lToiGGjt2LPv372fjxo1qhyKEEDYnOc45uPSVupCQEHQ6XY0nebKysoiIiFApKvtz+Vi46nEaN24cq1ev5qeffiImJsbSHhERQUVFBfn5+Vb9XeW4CPsnOe76XD2/geQ4Z+LSRZ1er6dbt26sXbvW0mY2m1m7di29e/dWMTL70qZNGyIiIqyOU2FhIVu3bnXq46QoCuPGjWPVqlWsW7eONm2sJ5Ts1q0b7u7uVsfl8OHDpKenO/VxEY5Dctz1uWp+A8lxzsjlb79OnDiRUaNGcdNNN9GjRw/eeOMNSkpK+Mtf/qJ2aC2quLiYY8eOWV6fPHmS3bt3ExQURGxsLBMmTGDWrFnEx8fTpk0bpk2bRlRUlOUJMmc0duxYli1bxldffYWvr69lDIm/vz8GgwF/f39Gjx7NxIkTCQoKws/Pj/Hjx9O7d28ZQCzshuQ4yW91kRznhBShvPXWW0psbKyi1+uVHj16KFu2bFE7pBb3008/KUCNn1GjRimKoihms1mZNm2aEh4ernh4eCj9+/dXDh8+rG7QN1htxwNQFi5caOljNBqVJ598UgkMDFS8vLyUIUOGKBkZGeoFLUQtXD3HSX6rneQ45+Py89QJIYQQQjgDlx5TJ4QQQgjhLKSoE0IIIYRwAlLUCSGEEEI4ASnqhBBCCCGcgBR1QgghhBBOQIo6IYQQQggnIEWdEEIIIYQTkKJOCCGEEMIJSFEnAPj555/RaDQ1Fm5uKWvXriUxMRGTyQTAjBkzSE1NbfR2KioqiIuLY8eOHTaOUAjhqCS/CVchRZ0L6tevHxMmTLBq69OnDxkZGfj7+6sS09///ndeeOEFdDpds7aj1+uZPHkyzz77rI0iE0I4EslvwpVJUSeA6mQRERGBRqNp8X1v3LiR48ePM3To0GZtp6KiAoCRI0eyceNGDhw4YIvwhBAOTvKbcBVS1LmYRx55hPXr1zNv3jw0Gg0ajYZTp07VuD2xaNEiAgICWL16NQkJCXh5eTFs2DBKS0tZvHgxcXFxBAYG8tRTT1luKQCUl5czefJkoqOj8fb2pmfPnvz888/1xrR8+XLuuOMOPD09a7y3ZMkS4uLi8Pf354EHHqCoqMjyXr9+/Rg3bhwTJkwgJCSEgQMHAhAYGEjfvn1Zvnx58w+YEMJhSH4Trk6KOhczb948evfuzeOPP05GRgYZGRm0atWq1r6lpaW8+eabLF++nDVr1vDzzz8zZMgQvvvuO7777juWLFnCggULWLFiheUz48aNY/PmzSxfvpy9e/cyfPhwBg0axNGjR+uMacOGDdx000012o8fP86XX37J6tWrWb16NevXr+cf//iHVZ/Fixej1+vZtGkT7777rqW9R48ebNiwobGHRwjhwCS/CVfnpnYAomX5+/uj1+vx8vIiIiKi3r6VlZW88847tGvXDoBhw4axZMkSsrKy8PHxISkpidtuu42ffvqJESNGkJ6ezsKFC0lPTycqKgqAyZMns2bNGhYuXMjs2bNr3c/p06ct/a9mNptZtGgRvr6+APz5z39m7dq1vPLKK5Y+8fHxzJ07t8Zno6KiOH36dMMOihDCKUh+E65OijpRJy8vL0vCAwgPDycuLg4fHx+rtgsXLgCwb98+TCYTHTp0sNpOeXk5wcHBde7HaDTWemsiLi7OkvAAIiMjLfu6rFu3brVu02AwUFpaWs+3E0K4MslvwhlJUSfq5O7ubvVao9HU2mY2mwEoLi5Gp9Oxc+fOGk95XZ0orxUSEsLFixcbtP/L+7rM29u71m3m5eURGhpa5z6FEK5N8ptwRlLUuSC9Xm81+NdW0tLSMJlMXLhwgVtuuaVRnzt48KBNY9m/fz9paWk23aYQwv5JfhOuTB6UcEFxcXFs3bqVU6dOkZOTU+PssKk6dOjAyJEjefjhh1m5ciUnT55k27ZtzJkzh2+//bbOzw0cOJCNGzfaJIbLNmzYwJ133mnTbQoh7J/kN+HKpKhzQZMnT0an05GUlERoaCjp6ek22/bChQt5+OGHmTRpEgkJCQwePJjt27cTGxtb52dGjhzJgQMHOHz4sE1i2Lx5MwUFBQwbNswm2xNCOA7Jb8KVaRRFUdQOQoi//e1vFBYWsmDBgmZva8SIEaSkpPDcc8/ZIDIhhGgeyW+ipciVOmEXnn/+eVq3bt3sWyUVFRUkJyfzzDPP2CgyIYRoHslvoqXIlTohhBBCCCcgV+qEEEIIIZyAFHVCCCGEEE5AijohhBBCCCcgRZ0QQgghhBOQok4IIYQQwglIUSeEEEII4QSkqBNCCCGEcAJS1AkhhBBCOAEp6oQQQgghnMD/Byuth+ur1wvnAAAAAElFTkSuQmCC", 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", 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    " ] @@ -2183,13 +2322,13 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 62, "id": "brutal-sigma", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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    " ] @@ -2205,7 +2344,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 63, "id": "brilliant-prairie", "metadata": {}, "outputs": [], @@ -2231,7 +2370,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 64, "id": "previous-sending", "metadata": {}, "outputs": [ @@ -2239,64 +2378,64 @@ "name": "stdout", "output_type": "stream", "text": [ - "(393975.95 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", - "(393975.95 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", - "(393975.98 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", - "(393976.01 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", - "(393976.04 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", - "(393976.08 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", - "(393976.11 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", - "(393976.13 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", - "(393976.16 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", - "(393976.19 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", - "(393976.22 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", - "(393976.24 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", - "(393976.26 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", - "(393976.28 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", - "(393976.31 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", - "(393976.33 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", - "(393976.35 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", - "(393976.38 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", - "(393976.41 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", - "(393976.43 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", - "(393976.46 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", - "(393976.49 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", - "(393976.52 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", - "(393976.55 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", - "(393976.57 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", - "(393976.59 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", - "(393976.61 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", - "(393976.64 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", - "(393976.66 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n", - "(393976.69 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", - "(393976.69 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", - "(393976.72 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", - "(393976.75 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", - "(393976.77 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", - "(393976.79 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", - "(393976.82 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", - "(393976.86 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", - "(393976.88 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", - "(393976.91 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", - "(393976.94 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", - "(393976.96 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", - "(393976.98 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", - "(393977.00 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", - "(393977.03 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", - "(393977.05 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", - "(393977.07 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", - "(393977.09 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", - "(393977.12 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", - "(393977.14 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", - "(393977.17 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", - "(393977.20 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", - "(393977.22 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", - "(393977.25 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", - "(393977.27 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", - "(393977.30 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", - "(393977.32 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", - "(393977.34 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", - "(393977.36 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n" + "(405451.67 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", + "(405451.67 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", + "(405451.68 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", + "(405451.70 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", + "(405451.71 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", + "(405451.72 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", + "(405451.73 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", + "(405451.74 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", + "(405451.76 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", + "(405451.77 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", + "(405451.79 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", + "(405451.80 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", + "(405451.81 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", + "(405451.82 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", + "(405451.84 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", + "(405451.85 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", + "(405451.86 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", + "(405451.87 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", + "(405451.88 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", + "(405451.89 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", + "(405451.91 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", + "(405451.92 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", + "(405451.93 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", + "(405451.94 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", + "(405451.95 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", + "(405451.96 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", + "(405451.98 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", + "(405451.99 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", + "(405452.00 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n", + "(405452.01 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", + "(405452.02 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", + "(405452.03 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", + "(405452.04 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", + "(405452.05 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", + "(405452.06 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", + "(405452.07 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", + "(405452.09 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", + "(405452.10 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", + "(405452.11 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", + "(405452.12 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", + "(405452.14 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", + "(405452.15 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", + "(405452.16 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", + "(405452.17 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", + "(405452.18 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", + "(405452.20 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", + "(405452.21 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", + "(405452.22 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", + "(405452.23 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", + "(405452.24 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", + "(405452.26 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", + "(405452.27 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", + "(405452.28 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", + "(405452.29 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", + "(405452.31 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", + "(405452.32 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", + "(405452.33 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", + "(405452.34 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n" ] } ], @@ -2349,7 +2488,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 65, "id": "15f86638", "metadata": {}, "outputs": [ @@ -2358,11 +2497,11 @@ "output_type": "stream", "text": [ "[+ 0.00] Beginning the formulation of the multiperiod optimization problem.\n", - "[+ 701.79] Completed the formulation of the multiperiod optimization problem.\n", - "2023-02-28 06:39:55 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "[+ 4.01] Created an instance of the flowsheet and initialized it.\n", - "[+ 47.88] Initialized the entire multiperiod optimization model.\n", - "[+ 0.74] Unfixed the degrees of freedom from each period model.\n" + "[+ 389.71] Completed the formulation of the multiperiod optimization problem.\n", + "2023-02-28 09:45:58 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "[+ 3.61] Created an instance of the flowsheet and initialized it.\n", + "[+ 42.96] Initialized the entire multiperiod optimization model.\n", + "[+ 1.05] Unfixed the degrees of freedom from each period model.\n" ] } ], @@ -2397,7 +2536,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 66, "id": "lightweight-prediction", "metadata": {}, "outputs": [], @@ -2425,7 +2564,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 67, "id": "6f4290ba", "metadata": {}, "outputs": [], @@ -2449,7 +2588,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 68, "id": "elder-victoria", "metadata": {}, "outputs": [ @@ -2457,18 +2596,17 @@ "name": "stdout", "output_type": "stream", "text": [ + "Proposed amortization schedule cannot be longer than intended project life.\n", + "Returning a shortened schedule: 3 yrs\n", "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [ 0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059\n", - " 0.0591 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0.\n", - " 0. 0. 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", - " 0. 0. 0.]\n", + "DEBUGG amort alpha: [ 0. 0.3333 0.4445 0.1481 0.0741 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0.]\n", + "Proposed amortization schedule cannot be longer than intended project life.\n", + "Returning a shortened schedule: 7 yrs\n", "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [ 0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059\n", - " 0.0591 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0.\n", - " 0. 0. 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", - " 0. 0. 0.]\n", + "DEBUGG amort alpha: [ 0. 0.1429 0.2449 0.1749 0.1249 0.0893 0.0892 0.0893 0.0446\n", + " 0. 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. 0. 0.]\n", "DEBUGG amortizing cf: Cap\n", "DEBUGG amort alpha: [ 0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059\n", " 0.0591 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0.\n", @@ -2495,21 +2633,6 @@ "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", @@ -2522,22 +2645,7 @@ "CashFlow INFO (compLife): 2 , , , \n", "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", @@ -2550,22 +2658,7 @@ "CashFlow INFO (compLife): 2 , , , \n", "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", @@ -2635,16 +2728,6 @@ "CashFlow INFO (compLife): 8 , , , \n", "CashFlow INFO (compLife): 9 , , , \n", "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", @@ -2661,18 +2744,8 @@ "CashFlow INFO (compLife): 6 , , , \n", "CashFlow INFO (compLife): 7 , , , \n", "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", @@ -2689,18 +2762,8 @@ "CashFlow INFO (compLife): 6 , , , \n", "CashFlow INFO (compLife): 7 , , , \n", "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", @@ -2907,17 +2970,17 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 5: \n", "CashFlow INFO (proj comp): 6: \n", "CashFlow INFO (proj comp): 7: \n", "CashFlow INFO (proj comp): 8: \n", "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 10: \n", "CashFlow INFO (proj comp): 11: \n", "CashFlow INFO (proj comp): 12: \n", "CashFlow INFO (proj comp): 13: \n", "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", "CashFlow INFO (proj comp): 17: \n", "CashFlow INFO (proj comp): 18: \n", @@ -2934,21 +2997,21 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 5: \n", "CashFlow INFO (proj comp): 6: \n", "CashFlow INFO (proj comp): 7: \n", "CashFlow INFO (proj comp): 8: \n", "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 10: \n", "CashFlow INFO (proj comp): 11: \n", "CashFlow INFO (proj comp): 12: \n", "CashFlow INFO (proj comp): 13: \n", "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", @@ -2961,21 +3024,21 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 5: \n", "CashFlow INFO (proj comp): 6: \n", "CashFlow INFO (proj comp): 7: \n", "CashFlow INFO (proj comp): 8: \n", "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 10: \n", "CashFlow INFO (proj comp): 11: \n", "CashFlow INFO (proj comp): 12: \n", "CashFlow INFO (proj comp): 13: \n", "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", @@ -3051,7 +3114,7 @@ "CashFlow INFO (proj comp): 7: \n", "CashFlow INFO (proj comp): 8: \n", "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 10: \n", "CashFlow INFO (proj comp): 11: \n", "CashFlow INFO (proj comp): 12: \n", "CashFlow INFO (proj comp): 13: \n", @@ -3077,16 +3140,16 @@ "CashFlow INFO (proj comp): 6: \n", "CashFlow INFO (proj comp): 7: \n", "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", "CashFlow INFO (proj comp): 11: \n", "CashFlow INFO (proj comp): 12: \n", "CashFlow INFO (proj comp): 13: \n", "CashFlow INFO (proj comp): 14: \n", "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", "CashFlow INFO (proj comp): 19: \n", "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", @@ -3104,16 +3167,16 @@ "CashFlow INFO (proj comp): 6: \n", "CashFlow INFO (proj comp): 7: \n", "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", "CashFlow INFO (proj comp): 11: \n", "CashFlow INFO (proj comp): 12: \n", "CashFlow INFO (proj comp): 13: \n", "CashFlow INFO (proj comp): 14: \n", "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", "CashFlow INFO (proj comp): 19: \n", "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", @@ -3344,18 +3407,17 @@ "CashFlow INFO (FCFF): 19: \n", "CashFlow INFO (FCFF): 20: \n", "CashFlow INFO (NPV): ... NPV: \n", + "Proposed amortization schedule cannot be longer than intended project life.\n", + "Returning a shortened schedule: 3 yrs\n", "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [ 0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059\n", - " 0.0591 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0.\n", - " 0. 0. 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", - " 0. 0. 0.]\n", + "DEBUGG amort alpha: [ 0. 0.3333 0.4445 0.1481 0.0741 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. 0.]\n", + "Proposed amortization schedule cannot be longer than intended project life.\n", + "Returning a shortened schedule: 7 yrs\n", "DEBUGG amortizing cf: Cap\n", - "DEBUGG amort alpha: [ 0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059\n", - " 0.0591 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0.\n", - " 0. 0. 0. ]\n", - "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. -1. 0.\n", - " 0. 0. 0.]\n", + "DEBUGG amort alpha: [ 0. 0.1429 0.2449 0.1749 0.1249 0.0893 0.0892 0.0893 0.0446\n", + " 0. 0. ]\n", + "DEBUGG depre alpha: [ 0. -1. -1. -1. -1. -1. -1. -1. -1. 0. 0.]\n", "DEBUGG amortizing cf: Cap\n", "DEBUGG amort alpha: [ 0. 0.05 0.095 0.0855 0.077 0.0693 0.0623 0.059 0.059\n", " 0.0591 0.059 0.0591 0.059 0.0591 0.059 0.0591 0.0295 0.\n", @@ -3382,21 +3444,6 @@ "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", @@ -3409,22 +3456,7 @@ "CashFlow INFO (compLife): 2 , , , \n", "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"pem_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", @@ -3437,22 +3469,7 @@ "CashFlow INFO (compLife): 2 , , , \n", "CashFlow INFO (compLife): 3 , , , \n", "CashFlow INFO (compLife): 4 , , , \n", - "CashFlow INFO (compLife): 5 , , , \n", - "CashFlow INFO (compLife): 6 , , , \n", - "CashFlow INFO (compLife): 7 , , , \n", - "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 5 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"pem\" CashFlow \"FixedOM\" ...\n", "CashFlow INFO (compLife): LIFETIME cash flow summary by year:\n", @@ -3522,16 +3539,6 @@ "CashFlow INFO (compLife): 8 , , , \n", "CashFlow INFO (compLife): 9 , , , \n", "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_amortize_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", @@ -3548,18 +3555,8 @@ "CashFlow INFO (compLife): 6 , , , \n", "CashFlow INFO (compLife): 7 , , , \n", "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2tank\" CashFlow \"h2tank_depreciate_Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", @@ -3576,18 +3573,8 @@ "CashFlow INFO (compLife): 6 , , , \n", "CashFlow INFO (compLife): 7 , , , \n", "CashFlow INFO (compLife): 8 , , , \n", - "CashFlow INFO (compLife): 9 , , , \n", - "CashFlow INFO (compLife): 10 , , , \n", - "CashFlow INFO (compLife): 11 , , , \n", - "CashFlow INFO (compLife): 12 , , , \n", - "CashFlow INFO (compLife): 13 , , , \n", - "CashFlow INFO (compLife): 14 , , , \n", - "CashFlow INFO (compLife): 15 , , , \n", - "CashFlow INFO (compLife): 16 , , , \n", - "CashFlow INFO (compLife): 17 , , , \n", - "CashFlow INFO (compLife): 18 , , , \n", - "CashFlow INFO (compLife): 19 , , , \n", - "CashFlow INFO (compLife): 20 , , , \n", + "CashFlow INFO (compLife): 9 , , , \n", + "CashFlow INFO (compLife): 10 , , , \n", "CashFlow INFO (compLife): ---------------------------------------------------------------------------\n", "CashFlow INFO (compLife): Computing LIFETIME cash flow for Component \"h2turbine\" CashFlow \"Cap\" ...\n", "CashFlow INFO (compLife): ... reference : 1.000000000e+00\n", @@ -3794,17 +3781,17 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 5: \n", "CashFlow INFO (proj comp): 6: \n", "CashFlow INFO (proj comp): 7: \n", "CashFlow INFO (proj comp): 8: \n", "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 10: \n", "CashFlow INFO (proj comp): 11: \n", "CashFlow INFO (proj comp): 12: \n", "CashFlow INFO (proj comp): 13: \n", "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", "CashFlow INFO (proj comp): 17: \n", "CashFlow INFO (proj comp): 18: \n", @@ -3821,21 +3808,21 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 5: \n", "CashFlow INFO (proj comp): 6: \n", "CashFlow INFO (proj comp): 7: \n", "CashFlow INFO (proj comp): 8: \n", "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 10: \n", "CashFlow INFO (proj comp): 11: \n", "CashFlow INFO (proj comp): 12: \n", "CashFlow INFO (proj comp): 13: \n", "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", @@ -3848,21 +3835,21 @@ "CashFlow INFO (proj comp): 2: \n", "CashFlow INFO (proj comp): 3: \n", "CashFlow INFO (proj comp): 4: \n", - "CashFlow INFO (proj comp): 5: \n", + "CashFlow INFO (proj comp): 5: \n", "CashFlow INFO (proj comp): 6: \n", "CashFlow INFO (proj comp): 7: \n", "CashFlow INFO (proj comp): 8: \n", "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 10: \n", "CashFlow INFO (proj comp): 11: \n", "CashFlow INFO (proj comp): 12: \n", "CashFlow INFO (proj comp): 13: \n", "CashFlow INFO (proj comp): 14: \n", - "CashFlow INFO (proj comp): 15: \n", + "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", - "CashFlow INFO (proj comp): 19: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 19: \n", "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.0\n", "CashFlow INFO (proj comp): ... tax rate: 0.8\n", @@ -3938,7 +3925,7 @@ "CashFlow INFO (proj comp): 7: \n", "CashFlow INFO (proj comp): 8: \n", "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 10: \n", "CashFlow INFO (proj comp): 11: \n", "CashFlow INFO (proj comp): 12: \n", "CashFlow INFO (proj comp): 13: \n", @@ -3964,16 +3951,16 @@ "CashFlow INFO (proj comp): 6: \n", "CashFlow INFO (proj comp): 7: \n", "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", "CashFlow INFO (proj comp): 11: \n", "CashFlow INFO (proj comp): 12: \n", "CashFlow INFO (proj comp): 13: \n", "CashFlow INFO (proj comp): 14: \n", "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", "CashFlow INFO (proj comp): 19: \n", "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ... inflation rate: 1.02184\n", @@ -3991,16 +3978,16 @@ "CashFlow INFO (proj comp): 6: \n", "CashFlow INFO (proj comp): 7: \n", "CashFlow INFO (proj comp): 8: \n", - "CashFlow INFO (proj comp): 9: \n", - "CashFlow INFO (proj comp): 10: \n", + "CashFlow INFO (proj comp): 9: \n", + "CashFlow INFO (proj comp): 10: \n", "CashFlow INFO (proj comp): 11: \n", "CashFlow INFO (proj comp): 12: \n", "CashFlow INFO (proj comp): 13: \n", "CashFlow INFO (proj comp): 14: \n", "CashFlow INFO (proj comp): 15: \n", "CashFlow INFO (proj comp): 16: \n", - "CashFlow INFO (proj comp): 17: \n", - "CashFlow INFO (proj comp): 18: \n", + "CashFlow INFO (proj comp): 17: \n", + "CashFlow INFO (proj comp): 18: \n", "CashFlow INFO (proj comp): 19: \n", "CashFlow INFO (proj comp): 20: \n", "CashFlow INFO (proj comp): ---------------------------------------------------------------------------\n", @@ -4257,7 +4244,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 69, "id": "suburban-radar", "metadata": {}, "outputs": [], @@ -4285,7 +4272,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 70, "id": "liberal-riverside", "metadata": {}, "outputs": [ @@ -4332,211 +4319,106 @@ " inequality constraints with only upper bounds: 7680\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -4.8969775e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -5.9817795e+09 1.92e+05 2.05e+04 -1.0 2.80e+06 - 1.28e-03 8.90e-01f 1\n", - " 2 -6.0924888e+09 7.84e+03 1.21e+04 -1.0 5.02e+05 - 1.24e-03 9.90e-01f 1\n", - " 3 -6.0942116e+09 2.31e+02 5.67e+02 -1.0 1.01e+04 - 3.34e-01 9.71e-01f 1\n", - " 4 -6.0950166e+09 1.28e+02 4.07e+02 -1.0 4.31e+02 - 7.11e-02 4.39e-01f 1\n", - " 5 -6.0954979e+09 1.14e+02 1.56e+03 -1.0 1.12e+03 - 8.24e-02 2.53e-01f 1\n", - " 6 -6.0976921e+09 2.41e+01 2.27e+03 -1.0 6.61e+03 - 1.98e-03 7.75e-01f 1\n", - " 7 -6.0999139e+09 1.38e+01 1.09e+03 -1.0 8.26e+03 - 4.82e-02 4.27e-01f 1\n", - " 8 -6.1009456e+09 1.12e+01 5.74e+03 -1.0 7.47e+03 - 6.39e-02 1.88e-01f 1\n", - " 9 -6.1039402e+09 5.86e+00 2.07e+04 -1.0 7.40e+03 - 5.44e-02 4.81e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -6.1046930e+09 4.84e+00 1.92e+04 -1.0 6.03e+03 - 8.39e-02 1.73e-01f 1\n", - " 11 -6.1071851e+09 2.72e+00 2.14e+04 -1.0 6.45e+03 - 5.79e-02 4.40e-01f 1\n", - " 12 -6.1080494e+09 2.13e+00 2.18e+04 -1.0 5.11e+03 - 8.87e-02 2.16e-01f 1\n", - " 13 -6.1089415e+09 1.58e+00 2.25e+04 -1.0 5.16e+03 - 6.87e-02 2.59e-01f 1\n", - " 14 -6.1094265e+09 1.28e+00 2.15e+04 -1.0 4.47e+03 - 7.82e-02 1.90e-01f 1\n", - " 15 -6.1103183e+09 8.48e-01 2.10e+04 -1.0 5.03e+03 - 6.74e-02 3.38e-01f 1\n", - " 16 -6.1107192e+09 6.88e-01 1.90e+04 -1.0 4.45e+03 - 9.35e-02 1.89e-01f 1\n", - " 17 -6.1110606e+09 5.64e-01 1.77e+04 -1.0 4.70e+03 - 6.55e-02 1.80e-01f 1\n", - " 18 -6.1113606e+09 4.64e-01 1.62e+04 -1.0 4.39e+03 - 7.71e-02 1.77e-01f 1\n", - " 19 -6.1118890e+09 3.04e-01 1.53e+04 -1.0 4.40e+03 - 6.60e-02 3.46e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20 -6.1120977e+09 2.52e-01 1.38e+04 -1.0 3.79e+03 - 9.29e-02 1.71e-01f 1\n", - " 21 -6.1124264e+09 1.85e-01 1.30e+04 -1.0 3.92e+03 - 7.24e-02 2.65e-01f 1\n", - " 22 -6.1126477e+09 1.47e-01 1.19e+04 -1.0 3.30e+03 - 8.70e-02 2.10e-01f 1\n", - " 23 -6.1128109e+09 1.22e-01 1.07e+04 -1.0 3.51e+03 - 8.43e-02 1.66e-01f 1\n", - " 24 -6.1130826e+09 8.53e-02 8.71e+03 -1.0 3.32e+03 - 1.83e-01 3.03e-01f 1\n", - " 25 -6.1132296e+09 6.97e-02 8.42e+03 -1.0 3.53e+03 - 2.56e-02 1.83e-01f 1\n", - " 26 -6.1133212e+09 6.12e-02 7.71e+03 -1.0 3.09e+03 - 8.29e-02 1.21e-01f 1\n", - " 27 -6.1134538e+09 5.08e-02 7.15e+03 -1.0 3.23e+03 - 6.95e-02 1.71e-01f 1\n", - " 28 -6.1135675e+09 4.35e-02 6.52e+03 -1.0 3.19e+03 - 7.76e-02 1.43e-01f 1\n", - " 29 -6.1137117e+09 3.60e-02 6.03e+03 -1.0 3.12e+03 - 7.48e-02 1.72e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30 -6.1138859e+09 2.87e-02 5.74e+03 -1.0 3.00e+03 - 8.09e-02 2.03e-01f 1\n", - " 31 -6.1140022e+09 2.46e-02 5.24e+03 -1.0 2.78e+03 - 9.00e-02 1.42e-01f 1\n", - " 32 -6.1141230e+09 2.10e-02 4.81e+03 -1.0 2.79e+03 - 7.89e-02 1.46e-01f 1\n", - " 33 -6.1142765e+09 1.72e-02 4.34e+03 -1.0 2.76e+03 - 8.47e-02 1.83e-01f 1\n", - " 34 -6.1144055e+09 1.45e-02 4.02e+03 -1.0 2.46e+03 - 8.82e-02 1.55e-01f 1\n", - " 35 -6.1145333e+09 1.24e-02 3.70e+03 -1.0 2.58e+03 - 8.81e-02 1.49e-01f 1\n", - " 36 -6.1147292e+09 9.57e-03 3.38e+03 -1.0 2.52e+03 - 8.94e-02 2.27e-01f 1\n", - " 37 -6.1148444e+09 8.25e-03 3.09e+03 -1.0 2.32e+03 - 1.04e-01 1.38e-01f 1\n", - " 38 -6.1149635e+09 7.10e-03 3.05e+03 -1.0 2.48e+03 - 9.20e-02 1.40e-01f 1\n", - " 39 -6.1150884e+09 6.04e-03 3.02e+03 -1.0 2.67e+03 - 9.43e-02 1.48e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40 -6.1152264e+09 5.04e-03 3.03e+03 -1.0 2.86e+03 - 9.81e-02 1.67e-01f 1\n", - " 41 -6.1153734e+09 4.12e-03 3.03e+03 -1.0 3.07e+03 - 1.06e-01 1.83e-01f 1\n", - " 42 -6.1155044e+09 3.41e-03 2.87e+03 -1.0 3.29e+03 - 1.22e-01 1.71e-01f 1\n", - " 43 -6.1156573e+09 2.71e-03 3.00e+03 -1.0 3.59e+03 - 1.13e-01 2.05e-01f 1\n", - " 44 -6.1158053e+09 2.15e-03 2.92e+03 -1.0 3.83e+03 - 1.33e-01 2.08e-01f 1\n", - " 45 -6.1159133e+09 1.81e-03 2.56e+03 -1.0 4.14e+03 - 1.43e-01 1.58e-01f 1\n", - " 46 -6.1160488e+09 1.45e-03 2.38e+03 -1.0 4.52e+03 - 1.44e-01 2.01e-01f 1\n", - " 47 -6.1161778e+09 1.16e-03 2.09e+03 -1.0 4.84e+03 - 1.65e-01 2.00e-01f 1\n", - " 48 -6.1163121e+09 9.06e-04 1.73e+03 -1.0 5.21e+03 - 1.94e-01 2.17e-01f 1\n", - " 49 -6.1164935e+09 6.27e-04 1.50e+03 -1.0 5.65e+03 - 2.17e-01 3.09e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50 -6.1166430e+09 4.48e-04 1.03e+03 -1.0 5.91e+03 - 3.04e-01 2.86e-01f 1\n", - " 51 -6.1167413e+09 3.56e-04 8.96e+02 -1.0 6.42e+03 - 8.67e-02 2.04e-01f 1\n", - " 52 -6.1167996e+09 3.10e-04 4.83e+03 -1.0 8.21e+04 - 2.01e-02 1.33e-01f 1\n", - " 53 -6.1168409e+09 2.78e-04 7.48e+03 -1.0 4.62e+04 - 6.02e-02 1.02e-01f 1\n", - " 54 -6.1168858e+09 2.46e-04 1.22e+04 -1.0 5.82e+04 - 4.73e-02 1.17e-01f 1\n", - " 55 -6.1169302e+09 2.16e-04 1.53e+04 -1.0 6.51e+04 - 5.91e-02 1.23e-01f 1\n", - " 56 -6.1169713e+09 1.89e-04 1.82e+04 -1.0 4.41e+04 - 7.32e-02 1.25e-01f 1\n", - " 57 -6.1170135e+09 1.63e-04 2.25e+04 -1.0 7.66e+04 - 6.94e-02 1.39e-01f 1\n", - " 58 -6.1170544e+09 1.39e-04 2.59e+04 -1.0 7.35e+04 - 7.38e-02 1.47e-01f 1\n", - " 59 -6.1170925e+09 1.18e-04 2.85e+04 -1.0 5.50e+04 - 7.65e-02 1.53e-01f 1\n", + " 0 -2.3828146e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -2.9113988e+09 1.92e+05 2.05e+04 -1.0 2.80e+06 - 1.26e-03 8.90e-01f 1\n", + " 2 -2.9604003e+09 7.84e+03 1.23e+04 -1.0 5.02e+05 - 1.23e-03 9.90e-01f 1\n", + " 3 -2.9611070e+09 2.31e+02 5.67e+02 -1.0 1.01e+04 - 3.37e-01 9.71e-01h 1\n", + " 4 -2.9615376e+09 1.28e+02 4.07e+02 -1.0 3.19e+02 - 7.02e-02 4.40e-01f 1\n", + " 5 -2.9617930e+09 1.14e+02 1.47e+03 -1.0 1.13e+03 - 2.21e-01 2.51e-01f 1\n", + " 6 -2.9630621e+09 9.46e-01 2.30e+03 -1.0 4.15e+02 - 1.63e-01 1.00e+00f 1\n", + " 7 -2.9644425e+09 2.25e-01 2.14e+03 -1.0 4.52e+02 - 4.38e-01 1.00e+00f 1\n", + " 8 -2.9665439e+09 6.35e-02 8.25e+02 -1.0 1.17e+03 - 8.62e-03 1.00e+00f 1\n", + " 9 -2.9680091e+09 4.86e-03 6.15e+02 -1.0 4.29e+03 - 2.28e-01 7.81e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60 -6.1171286e+09 9.89e-05 3.03e+04 -1.0 6.14e+04 - 7.93e-02 1.58e-01f 1\n", - " 61 -6.1171607e+09 8.28e-05 3.16e+04 -1.0 5.30e+04 - 7.89e-02 1.63e-01f 1\n", - " 62 -6.1171841e+09 7.06e-05 2.93e+04 -1.0 5.80e+04 - 1.11e-01 1.47e-01f 1\n", - " 63 -6.1172105e+09 5.74e-05 3.12e+04 -1.0 7.59e+04 - 6.40e-02 1.88e-01f 1\n", - " 64 -6.1172430e+09 4.15e-05 3.28e+04 -1.0 7.02e+04 - 9.91e-02 2.78e-01f 1\n", - " 65 -6.1172494e+09 3.81e-05 2.84e+04 -1.0 5.36e+04 - 1.18e-01 8.52e-02f 1\n", - " 66 -6.1172643e+09 3.00e-05 4.10e+04 -1.0 7.04e+04 - 8.43e-02 2.11e-01f 1\n", - " 67 -6.1172854e+09 1.85e-05 4.89e+04 -1.0 6.39e+04 - 1.11e-01 3.82e-01f 1\n", - " 68 -6.1172913e+09 1.52e-05 4.43e+04 -1.0 5.55e+04 - 1.09e-01 1.87e-01f 1\n", - " 69 -6.1172975e+09 1.16e-05 4.19e+04 -1.0 6.00e+04 - 5.79e-02 2.34e-01f 1\n", + " 10 -2.9696504e+09 1.88e-04 2.31e+03 -1.0 3.42e+03 - 1.62e-02 8.40e-01f 1\n", + " 11 -2.9710256e+09 1.65e-07 2.56e+04 -1.0 8.99e+02 - 1.81e-01 8.33e-01f 1\n", + " 12 -2.9724581e+09 2.28e-08 1.29e+04 -1.0 2.35e+03 - 1.68e-01 8.70e-01f 1\n", + " 13 -2.9738029e+09 1.83e-09 1.63e+04 -1.0 9.74e+02 - 1.87e-01 8.95e-01f 1\n", + " 14 -2.9750402e+09 4.37e-10 1.61e+04 -1.0 1.16e+03 - 2.21e-01 9.09e-01f 1\n", + " 15 -2.9761197e+09 1.16e-10 7.42e+03 -1.0 8.63e+02 - 2.62e-01 9.28e-01f 1\n", + " 16 -2.9768881e+09 1.16e-10 7.46e+03 -1.0 9.18e+02 - 3.17e-01 8.28e-01f 1\n", + " 17 -2.9775173e+09 1.16e-10 4.88e+03 -1.0 1.32e+03 - 3.33e-01 8.53e-01f 1\n", + " 18 -2.9779385e+09 1.16e-10 4.66e+03 -1.0 1.92e+03 - 3.07e-01 8.60e-01f 1\n", + " 19 -2.9781870e+09 1.16e-10 4.17e+03 -1.0 2.62e+03 - 2.93e-01 9.62e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70 -6.1173010e+09 9.32e-06 3.37e+04 -1.0 4.33e+04 - 1.95e-01 1.98e-01f 1\n", - " 71 -6.1173017e+09 8.77e-06 3.08e+04 -1.0 7.32e+04 - 1.08e-01 5.92e-02f 1\n", - " 72 -6.1173019e+09 8.36e-06 2.85e+04 -1.0 8.22e+04 - 1.04e-01 4.60e-02f 1\n", - " 73 -6.1173026e+09 7.72e-06 2.67e+04 -1.0 8.17e+04 - 4.46e-02 7.65e-02f 1\n", - " 74 -6.1173065e+09 6.13e-06 2.33e+04 -1.0 6.75e+04 - 4.89e-02 2.06e-01f 1\n", - " 75 -6.1173088e+09 4.83e-06 1.92e+04 -1.0 5.14e+04 - 1.35e-01 2.13e-01f 1\n", - " 76 -6.1173089e+09 3.58e-06 1.48e+04 -1.0 5.26e+04 - 1.83e-01 2.58e-01f 1\n", - " 77 -6.1173074e+09 2.90e-06 1.24e+04 -1.0 5.23e+04 - 1.44e-01 1.90e-01f 1\n", - " 78 -6.1173061e+09 2.22e-06 1.19e+04 -1.0 4.30e+04 - 9.76e-02 2.33e-01f 1\n", - " 79 -6.1173062e+09 2.07e-06 1.09e+04 -1.0 3.80e+04 - 7.63e-02 7.00e-02f 1\n", + " 20 -2.9782474e+09 1.16e-10 3.09e+03 -1.0 3.34e+03 - 3.13e-01 7.28e-01f 1\n", + " 21 -2.9782647e+09 1.16e-10 1.53e+03 -1.0 4.23e+03 - 5.96e-01 7.16e-01f 1\n", + " 22 -2.9782511e+09 2.33e-10 8.01e+02 -1.0 7.04e+03 - 4.76e-01 4.74e-01f 1\n", + " 23 -2.9782446e+09 2.33e-10 9.65e+02 -1.0 7.73e+03 - 3.12e-01 1.20e-01f 1\n", + " 24 -2.9782318e+09 2.33e-10 6.22e+02 -1.0 8.33e+03 - 1.28e-01 2.09e-01f 1\n", + " 25 -2.9782075e+09 2.33e-10 1.66e+03 -1.0 7.60e+03 - 2.20e-01 4.33e-01f 1\n", + " 26 -2.9781963e+09 2.33e-10 5.02e+03 -1.0 2.34e+04 - 1.34e-01 2.72e-01f 1\n", + " 27 -2.9781903e+09 2.33e-10 6.02e+03 -1.0 2.51e+04 - 1.80e-01 2.17e-01f 1\n", + " 28 -2.9781785e+09 2.33e-10 2.21e+04 -1.0 1.97e+04 - 1.65e-01 4.39e-01f 1\n", + " 29 -2.9781635e+09 1.16e-10 9.88e+03 -1.0 1.76e+04 - 2.70e-01 6.28e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 80 -6.1173063e+09 1.94e-06 8.51e+03 -1.0 3.57e+04 - 1.81e-01 6.46e-02f 1\n", - " 81 -6.1173078e+09 1.47e-06 1.61e+04 -1.0 4.01e+04 - 6.08e-02 2.43e-01f 1\n", - " 82 -6.1173080e+09 1.32e-06 1.29e+04 -1.0 3.78e+04 - 2.30e-01 1.02e-01f 1\n", - " 83 -6.1173076e+09 9.89e-07 1.10e+04 -1.0 3.57e+04 - 1.26e-01 2.48e-01f 1\n", - " 84 -6.1173064e+09 7.82e-07 9.66e+03 -1.0 4.18e+04 - 1.05e-01 2.09e-01f 1\n", - " 85 -6.1173045e+09 5.55e-07 8.85e+03 -1.0 4.86e+04 - 1.08e-01 2.90e-01f 1\n", - " 86 -6.1173016e+09 3.43e-07 8.17e+03 -1.0 4.30e+04 - 1.70e-01 3.83e-01f 1\n", - " 87 -6.1172992e+09 2.47e-07 7.40e+03 -1.0 4.12e+04 - 1.28e-01 3.04e-01f 1\n", - " 88 -6.1172958e+09 1.49e-07 6.26e+03 -1.0 4.31e+04 - 2.10e-01 3.75e-01f 1\n", - " 89 -6.1172938e+09 1.24e-07 3.43e+03 -1.0 7.25e+04 - 4.21e-01 1.66e-01f 1\n", + " 30 -2.9781470e+09 1.16e-10 9.55e+03 -1.0 1.18e+04 - 3.70e-01 1.00e+00f 1\n", + " 31 -2.9781420e+09 1.16e-10 4.61e+03 -1.0 1.17e+04 - 4.98e-01 8.85e-01f 1\n", + " 32 -2.9781326e+09 1.16e-10 1.76e+03 -1.0 9.94e+03 - 4.83e-01 1.00e+00f 1\n", + " 33 -2.9781254e+09 1.16e-10 6.74e+02 -1.0 6.18e+03 - 7.26e-01 1.00e+00f 1\n", + " 34 -2.9781187e+09 1.16e-10 3.38e+01 -1.0 9.21e+03 - 9.26e-01 1.00e+00f 1\n", + " 35 -2.9781144e+09 1.16e-10 1.35e+01 -1.0 8.22e+03 - 9.91e-01 1.00e+00f 1\n", + " 36 -2.9781141e+09 1.16e-10 2.80e+00 -1.0 2.89e+03 - 1.00e+00 1.00e+00f 1\n", + " 37 -2.9781141e+09 1.16e-10 5.53e-02 -1.0 4.56e+02 - 1.00e+00 1.00e+00f 1\n", + " 38 -2.9784067e+09 2.03e-10 1.72e+02 -2.5 6.48e+04 - 1.00e+00 9.21e-01f 1\n", + " 39 -2.9784277e+09 1.16e-10 6.52e+03 -2.5 7.00e+03 - 1.00e+00 8.02e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 90 -6.1172888e+09 8.60e-08 2.39e+03 -1.0 5.31e+04 - 2.23e-01 3.09e-01f 1\n", - " 91 -6.1172826e+09 4.88e-08 2.82e+03 -1.0 4.83e+04 - 1.54e-01 4.32e-01f 1\n", - " 92 -6.1172740e+09 1.67e-08 7.43e+03 -1.0 2.66e+04 - 2.24e-01 6.58e-01f 1\n", - " 93 -6.1172709e+09 1.14e-08 5.04e+03 -1.0 1.90e+04 - 3.25e-01 3.19e-01f 1\n", - " 94 -6.1172679e+09 7.60e-09 3.35e+03 -1.0 3.88e+04 - 4.19e-01 3.34e-01f 1\n", - " 95 -6.1172605e+09 1.75e-10 5.11e+03 -1.0 1.80e+04 - 1.74e-01 1.00e+00f 1\n", - " 96 -6.1172585e+09 1.16e-10 9.55e+02 -1.0 7.28e+03 - 8.24e-01 1.00e+00f 1\n", - " 97 -6.1172576e+09 1.16e-10 1.39e+01 -1.0 4.60e+03 - 9.91e-01 1.00e+00f 1\n", - " 98 -6.1172575e+09 1.16e-10 9.19e-01 -1.0 2.50e+03 - 1.00e+00 1.00e+00f 1\n", - " 99 -6.1174874e+09 2.47e-10 4.20e+03 -1.7 1.07e+05 - 1.00e+00 8.85e-01f 1\n", + " 40 -2.9784327e+09 1.16e-10 1.68e+00 -2.5 1.39e+03 - 1.00e+00 1.00e+00f 1\n", + " 41 -2.9784326e+09 1.16e-10 2.31e-01 -2.5 2.46e+01 - 1.00e+00 1.00e+00f 1\n", + " 42 -2.9784326e+09 1.16e-10 2.81e-03 -2.5 2.73e+00 - 1.00e+00 1.00e+00f 1\n", + " 43 -2.9784375e+09 1.16e-10 2.52e+03 -3.8 1.88e+03 - 1.00e+00 5.71e-01f 1\n", + " 44 -2.9784385e+09 2.33e-10 1.77e+03 -3.8 8.37e+02 - 6.60e-01 3.41e-01f 1\n", + " 45 -2.9784386e+09 2.33e-10 1.56e+03 -3.8 1.04e+03 - 1.64e-01 1.21e-01f 1\n", + " 46 -2.9784389e+09 2.33e-10 1.27e+03 -3.8 5.35e+02 - 1.75e-01 1.85e-01f 1\n", + " 47 -2.9784390e+09 2.33e-10 1.06e+03 -3.8 6.79e+02 - 1.10e-01 1.62e-01f 1\n", + " 48 -2.9784391e+09 2.33e-10 9.78e+02 -3.8 3.65e+02 - 2.58e-01 8.98e-02f 1\n", + " 49 -2.9784391e+09 2.33e-10 8.03e+02 -3.8 2.45e+02 - 6.61e-02 1.73e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 100 -6.1175185e+09 1.16e-10 3.79e+00 -1.7 1.50e+04 - 1.00e+00 1.00e+00f 1\n", - " 101 -6.1175185e+09 1.16e-10 1.58e-01 -1.7 4.14e+01 - 1.00e+00 1.00e+00f 1\n", - " 102 -6.1175572e+09 2.33e-10 1.06e+04 -2.5 2.40e+04 - 1.00e+00 6.88e-01f 1\n", - " 103 -6.1175693e+09 1.16e-10 4.79e+03 -2.5 7.65e+03 - 1.00e+00 6.96e-01f 1\n", - " 104 -6.1175745e+09 1.16e-10 2.45e+00 -2.5 2.44e+03 - 1.00e+00 1.00e+00f 1\n", - " 105 -6.1175745e+09 1.16e-10 2.61e-01 -2.5 2.94e+02 - 1.00e+00 1.00e+00f 1\n", - " 106 -6.1175745e+09 1.16e-10 3.09e-03 -2.5 2.18e+01 - 1.00e+00 1.00e+00f 1\n", - " 107 -6.1175789e+09 1.16e-10 1.01e+02 -3.8 4.62e+03 - 5.35e-01 5.20e-01f 1\n", - " 108 -6.1175800e+09 2.33e-10 3.95e+02 -3.8 4.07e+03 - 1.28e-01 2.80e-01f 1\n", - " 109 -6.1175802e+09 2.33e-10 3.58e+02 -3.8 3.06e+03 - 8.83e-02 8.75e-02f 1\n", + " 50 -2.9784392e+09 3.49e-10 7.42e+02 -3.8 1.55e+02 - 1.75e-01 8.21e-02f 1\n", + " 51 -2.9784392e+09 2.33e-10 6.50e+02 -3.8 1.35e+02 - 5.96e-02 1.20e-01f 1\n", + " 52 -2.9784393e+09 3.49e-10 5.30e+02 -3.8 1.12e+02 - 9.78e-02 1.79e-01f 1\n", + " 53 -2.9784393e+09 3.49e-10 5.34e+02 -3.8 9.16e+01 - 2.36e-01 7.16e-02f 1\n", + " 54 -2.9784393e+09 3.49e-10 4.92e+02 -3.8 8.23e+01 - 9.90e-02 8.48e-02f 1\n", + " 55 -2.9784394e+09 2.33e-10 3.02e+02 -3.8 7.46e+01 - 2.99e-02 3.21e-01f 1\n", + " 56 -2.9784394e+09 3.49e-10 2.79e+02 -3.8 4.87e+01 - 2.91e-01 9.42e-02f 1\n", + " 57 -2.9784394e+09 3.49e-10 2.45e+02 -3.8 4.16e+01 - 3.86e-01 2.32e-01f 1\n", + " 58 -2.9784394e+09 3.49e-10 2.46e+02 -3.8 2.82e+01 - 1.22e-01 3.61e-02f 1\n", + " 59 -2.9784394e+09 2.33e-10 1.19e+02 -3.8 2.71e+01 - 8.77e-02 4.47e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 110 -6.1175803e+09 3.49e-10 3.19e+02 -3.8 3.48e+03 - 3.81e-02 2.55e-02f 1\n", - " 111 -6.1175805e+09 3.49e-10 2.17e+02 -3.8 3.88e+03 - 1.06e-01 7.28e-02f 1\n", - " 112 -6.1175807e+09 3.49e-10 1.81e+02 -3.8 3.68e+03 - 1.22e-01 1.04e-01f 1\n", - " 113 -6.1175807e+09 3.49e-10 2.85e+02 -3.8 2.25e+03 - 7.85e-02 2.22e-02f 1\n", - " 114 -6.1175809e+09 3.49e-10 7.21e+02 -3.8 1.24e+03 - 1.76e-02 1.02e-01f 1\n", - " 115 -6.1175809e+09 3.49e-10 7.23e+02 -3.8 1.31e+03 - 3.99e-02 4.37e-02f 1\n", - " 116 -6.1175810e+09 3.49e-10 7.97e+02 -3.8 1.41e+03 - 3.50e-02 6.28e-02f 1\n", - " 117 -6.1175811e+09 4.66e-10 7.49e+02 -3.8 2.13e+03 - 7.79e-02 8.22e-02f 1\n", - " 118 -6.1175812e+09 3.49e-10 3.93e+02 -3.8 2.32e+03 - 2.06e-01 9.45e-02f 1\n", - " 119 -6.1175812e+09 4.66e-10 3.85e+02 -3.8 2.32e+03 - 1.93e-02 1.93e-02f 1\n", + " 60 -2.9784394e+09 2.33e-10 1.01e+02 -3.8 1.62e+01 - 8.25e-01 4.85e-01f 1\n", + " 61 -2.9784395e+09 1.16e-10 4.51e+00 -3.8 7.74e+00 - 1.00e+00 9.53e-01f 1\n", + " 62 -2.9784395e+09 1.16e-10 3.46e-05 -3.8 1.56e+00 - 1.00e+00 1.00e+00f 1\n", + " 63 -2.9784395e+09 2.33e-10 4.57e+01 -5.7 4.77e+01 - 2.13e-01 1.12e-01f 1\n", + " 64 -2.9784395e+09 2.33e-10 6.28e+01 -5.7 3.72e+01 - 1.58e-01 9.77e-02f 1\n", + " 65 -2.9784395e+09 2.33e-10 3.97e+01 -5.7 3.55e+01 - 3.75e-02 9.70e-02f 1\n", + " 66 -2.9784395e+09 3.49e-10 4.27e+01 -5.7 2.91e+01 - 8.08e-02 5.78e-02f 1\n", + " 67 -2.9784395e+09 2.33e-10 9.09e+01 -5.7 3.06e+01 - 1.52e-01 4.15e-01f 1\n", + " 68 -2.9784396e+09 2.33e-10 7.36e+01 -5.7 1.62e+01 - 4.44e-01 6.39e-01f 1\n", + " 69 -2.9784396e+09 1.16e-10 6.85e+00 -5.7 4.26e+00 - 8.97e-01 9.66e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 120 -6.1175813e+09 4.66e-10 3.73e+02 -3.8 2.70e+03 - 4.68e-02 5.97e-02f 1\n", - " 121 -6.1175813e+09 4.66e-10 4.20e+02 -3.8 1.69e+03 - 2.16e-01 5.51e-03f 1\n", - " 122 -6.1175814e+09 4.66e-10 3.92e+02 -3.8 7.13e+02 - 1.23e-02 9.49e-02f 1\n", - " 123 -6.1175814e+09 5.82e-10 3.77e+02 -3.8 5.40e+02 - 5.13e-02 2.87e-02f 1\n", - " 124 -6.1175814e+09 4.66e-10 3.39e+02 -3.8 1.61e+03 - 1.07e-01 1.01e-01f 1\n", - " 125 -6.1175815e+09 4.66e-10 3.15e+02 -3.8 5.23e+02 - 2.87e-02 8.57e-02f 1\n", - " 126 -6.1175815e+09 4.66e-10 2.94e+02 -3.8 9.28e+02 - 2.92e-02 8.21e-02f 1\n", - " 127 -6.1175816e+09 3.49e-10 3.00e+02 -3.8 9.49e+02 - 3.08e-02 8.21e-02f 1\n", - " 128 -6.1175816e+09 4.66e-10 2.45e+02 -3.8 2.15e+03 - 1.38e-01 9.65e-02f 1\n", - " 129 -6.1175816e+09 4.66e-10 2.39e+02 -3.8 1.27e+03 - 7.09e-02 6.00e-03f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 130 -6.1175816e+09 4.66e-10 2.25e+02 -3.8 9.74e+02 - 2.96e-02 6.91e-02f 1\n", - " 131 -6.1175817e+09 4.66e-10 2.38e+02 -3.8 5.00e+02 - 2.98e-02 8.44e-02f 1\n", - " 132 -6.1175817e+09 5.82e-10 1.97e+02 -3.8 3.17e+02 - 1.46e-01 1.27e-01f 1\n", - " 133 -6.1175817e+09 4.66e-10 1.60e+02 -3.8 7.65e+02 - 1.37e-01 1.10e-01f 1\n", - " 134 -6.1175817e+09 4.66e-10 1.52e+02 -3.8 2.82e+02 - 5.92e-02 5.08e-02f 1\n", - " 135 -6.1175817e+09 4.66e-10 1.41e+02 -3.8 2.35e+02 - 5.38e-02 7.94e-02f 1\n", - " 136 -6.1175818e+09 4.66e-10 1.36e+02 -3.8 3.98e+02 - 4.94e-02 1.39e-01f 1\n", - " 137 -6.1175818e+09 4.66e-10 1.16e+02 -3.8 3.99e+02 - 1.40e-01 4.72e-02f 1\n", - " 138 -6.1175818e+09 4.66e-10 1.37e+02 -3.8 4.07e+02 - 2.79e-01 7.55e-02f 1\n", - " 139 -6.1175818e+09 3.49e-10 8.25e+01 -3.8 3.50e+02 - 7.62e-02 2.09e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 140 -6.1175818e+09 4.66e-10 1.41e+02 -3.8 2.45e+02 - 7.40e-02 1.87e-01f 1\n", - " 141 -6.1175818e+09 3.49e-10 1.07e+02 -3.8 6.54e+01 - 1.78e-01 1.40e-01f 1\n", - " 142 -6.1175819e+09 2.33e-10 1.80e+02 -3.8 6.85e+01 - 6.37e-02 3.52e-01f 1\n", - " 143 -6.1175819e+09 2.33e-10 9.34e+01 -3.8 7.62e+01 - 4.97e-01 1.33e-01f 1\n", - " 144 -6.1175819e+09 3.49e-10 1.32e+02 -3.8 3.04e+01 - 1.00e+00 1.08e-01f 1\n", - " 145 -6.1175819e+09 1.16e-10 9.76e-03 -3.8 2.55e+01 - 1.00e+00 1.00e+00f 1\n", - " 146 -6.1175819e+09 1.16e-10 1.96e-04 -3.8 4.87e+00 - 1.00e+00 1.00e+00f 1\n", - " 147 -6.1175819e+09 2.33e-10 5.06e+01 -5.7 1.46e+02 - 5.97e-02 1.62e-01f 1\n", - " 148 -6.1175819e+09 2.33e-10 2.62e+01 -5.7 1.59e+02 - 7.83e-02 3.25e-02f 1\n", - " 149 -6.1175819e+09 2.33e-10 1.13e+02 -5.7 1.47e+02 - 2.11e-01 9.52e-02f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 150 -6.1175819e+09 3.49e-10 9.61e+01 -5.7 9.57e+01 - 1.30e-01 1.37e-01f 1\n", - " 151 -6.1175819e+09 3.49e-10 7.52e+01 -5.7 7.52e+01 - 2.18e-02 1.55e-01f 1\n", - " 152 -6.1175820e+09 3.49e-10 8.36e+01 -5.7 6.26e+01 - 2.16e-01 1.42e-02f 1\n", - " 153 -6.1175820e+09 3.49e-10 7.50e+01 -5.7 5.70e+01 - 2.08e-01 1.31e-01f 1\n", - " 154 -6.1175820e+09 2.33e-10 4.50e+01 -5.7 4.90e+01 - 2.22e-01 3.57e-01f 1\n", - " 155 -6.1175820e+09 2.33e-10 2.96e+01 -5.7 2.89e+01 - 2.85e-01 3.25e-01f 1\n", - " 156 -6.1175820e+09 2.33e-10 1.79e+01 -5.7 1.82e+01 - 3.88e-01 3.93e-01f 1\n", - " 157 -6.1175820e+09 2.33e-10 1.62e+01 -5.7 1.01e+01 - 2.64e-01 1.48e-01f 1\n", - " 158 -6.1175820e+09 2.33e-10 7.72e+00 -5.7 8.50e+00 - 2.61e-01 4.97e-01f 1\n", - " 159 -6.1175820e+09 2.33e-10 6.65e+00 -5.7 4.11e+00 - 3.34e-01 4.11e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 160 -6.1175820e+09 2.33e-10 6.48e+00 -5.7 3.24e+00 - 4.06e-01 6.17e-01f 1\n", - " 161 -6.1175820e+09 1.16e-10 3.69e+00 -5.7 3.08e+00 - 4.87e-01 5.63e-01f 1\n", - " 162 -6.1175820e+09 1.16e-10 2.93e+00 -5.7 3.34e+00 - 4.98e-01 1.00e+00f 1\n", - " 163 -6.1175820e+09 1.16e-10 5.56e-09 -5.7 1.79e+00 - 1.00e+00 1.00e+00h 1\n", - " 164 -6.1175820e+09 1.16e-10 3.87e-01 -7.0 2.41e+00 - 3.52e-01 4.42e-01f 1\n", - " 165 -6.1175820e+09 1.16e-10 2.39e-01 -7.0 5.09e+00 - 5.44e-01 5.70e-01f 1\n", - " 166 -6.1175820e+09 2.33e-10 6.40e-01 -7.0 1.91e+00 - 9.20e-01 3.36e-01f 1\n", - " 167 -6.1175820e+09 1.16e-10 7.38e-02 -7.0 3.36e-01 - 1.00e+00 9.14e-01f 1\n", - " 168 -6.1175820e+09 1.16e-10 1.29e-08 -7.0 1.89e-01 - 1.00e+00 1.00e+00f 1\n", + " 70 -2.9784396e+09 1.16e-10 1.19e-05 -5.7 3.67e-01 - 1.00e+00 1.00e+00f 1\n", + " 71 -2.9784396e+09 1.16e-10 2.05e-05 -7.0 3.85e-01 - 1.00e+00 1.00e+00f 1\n", + " 72 -2.9784396e+09 1.16e-10 6.89e-09 -7.0 1.84e-03 - 1.00e+00 1.00e+00h 1\n", "\n", - "Number of Iterations....: 168\n", + "Number of Iterations....: 72\n", "\n", " (scaled) (unscaled)\n", - "Objective...............: -1.4954768548234174e+08 -6.1175819965721436e+09\n", - "Dual infeasibility......: 1.2901570389027509e-08 5.2776754441139380e-07\n", + "Objective...............: -7.2809607966117442e+07 -2.9784395889135299e+09\n", + "Dual infeasibility......: 6.8942340184760490e-09 2.8202403651753174e-07\n", "Constraint violation....: 1.1641532182693481e-10 1.1641532182693481e-10\n", - "Complementarity.........: 9.3788526406170319e-08 3.8366290910946047e-06\n", - "Overall NLP error.......: 9.3788526406170319e-08 3.8366290910946047e-06\n", + "Complementarity.........: 9.1220969742037112e-08 3.7315974527043550e-06\n", + "Overall NLP error.......: 9.1220969742037112e-08 3.7315974527043550e-06\n", "\n", "\n", - "Number of objective function evaluations = 169\n", - "Number of objective gradient evaluations = 169\n", - "Number of equality constraint evaluations = 169\n", - "Number of inequality constraint evaluations = 169\n", - "Number of equality constraint Jacobian evaluations = 169\n", - "Number of inequality constraint Jacobian evaluations = 169\n", - "Number of Lagrangian Hessian evaluations = 168\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 277.300\n", - "Total CPU secs in NLP function evaluations = 118.174\n", + "Number of objective function evaluations = 73\n", + "Number of objective gradient evaluations = 73\n", + "Number of equality constraint evaluations = 73\n", + "Number of inequality constraint evaluations = 73\n", + "Number of equality constraint Jacobian evaluations = 73\n", + "Number of inequality constraint Jacobian evaluations = 73\n", + "Number of Lagrangian Hessian evaluations = 72\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 65.449\n", + "Total CPU secs in NLP function evaluations = 31.332\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -4544,10 +4426,10 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 424246, 'Number of variables': 422329, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 407.5233008861542}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 424246, 'Number of variables': 422329, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 103.68753337860107}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, - "execution_count": 25, + "execution_count": 70, "metadata": {}, "output_type": "execute_result" } @@ -4569,7 +4451,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 71, "id": "civil-celebration", "metadata": {}, "outputs": [ @@ -4577,9 +4459,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "Optimal PEM capacity : 0.0012525737093756588 MW\n", - "Optimal tank capacity : 0.04354528393436322 kg\n", - "Optimal turbine capacity: 9.077081207425634e-05 MW\n" + "Optimal PEM capacity : 0.0007913396840620657 MW\n", + "Optimal tank capacity : 7.886671077145568e-06 kg\n", + "Optimal turbine capacity: 9.076514376699183e-05 MW\n" ] } ], @@ -4592,13 +4474,13 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 72, "id": "protecting-asthma", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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    " ] @@ -4610,35 +4492,6 @@ "source": [ "generate_plots(m.scenario[0], d=8, y=2022, set_time=m.set_time, lmp=m.LMP[0])" ] - }, - { - "cell_type": "code", - "execution_count": 49, - "id": "da70232c", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "LMP_array_2022_0 = [LMP[0][2022][1][d] for d in m.set_time]\n", - "LMP_array_2022_0 = [LMP[0][2022][8][d] for d in m.set_time]\n", - "LMP_dict = {}\n", - "LMP_dict[\"Year: 2022 \\n Cluster 1\"] = LMP_array_2022_0\n", - "\n", - "m.plot_lmp_signal(LMP_dict)\n", - "# import matplotlib.pyplot as plt\n", - "# plt.figure()\n", - "# plt.plot(LMP_array, 'r', linewidth=3)" - ] } ], "metadata": { diff --git a/dispatches/util/syn_hist_integration.py b/dispatches/util/syn_hist_integration.py index ae162d500..73d0d6c19 100644 --- a/dispatches/util/syn_hist_integration.py +++ b/dispatches/util/syn_hist_integration.py @@ -114,9 +114,11 @@ def generateSyntheticHistory(self, signal_name, set_years): cluster_ind = int(cluster-1) newSynHist['weights_days'][year][cluster] = len(cluster_map[cluster_ind]) - newSynHist['LMP'] = {year: {day: {hour: synHistData[y, int(day-1), int(hour-1)] + # generated synthetic histories span multiple years, must index for given set_years + year_index = [np.where(synHistYears == year)[0][0] for year in set_years] + newSynHist['LMP'] = {year: {day: {hour: synHistData[year_ind, int(day-1), int(hour-1)] for hour in synHistHours} for day in synHistDays} - for y, year in enumerate(set_years)} + for year_ind, year in zip(year_index, set_years)} return newSynHist From 105c427b42aeb8a26c3e916a9c4317e065d1413a Mon Sep 17 00:00:00 2001 From: Radhakrishna Date: Fri, 10 Mar 2023 17:06:28 -0500 Subject: [PATCH 21/29] Added function to generate synthetic histories --- dispatches/util/__init__.py | 1 + dispatches/util/syn_hist_generation.py | 57 +++++++++++++++++++++++++ dispatches/util/syn_hist_integration.py | 3 ++ 3 files changed, 61 insertions(+) create mode 100644 dispatches/util/syn_hist_generation.py diff --git a/dispatches/util/__init__.py b/dispatches/util/__init__.py index 43ec65e43..140795b86 100644 --- a/dispatches/util/__init__.py +++ b/dispatches/util/__init__.py @@ -20,3 +20,4 @@ calculate_TEAL_metrics, ) from .syn_hist_integration import SynHist_integration +from .syn_hist_generation import generate_syn_realizations diff --git a/dispatches/util/syn_hist_generation.py b/dispatches/util/syn_hist_generation.py new file mode 100644 index 000000000..ca4cc6fca --- /dev/null +++ b/dispatches/util/syn_hist_generation.py @@ -0,0 +1,57 @@ +import pandas as pd +from dispatches.util import SynHist_integration + + +def generate_syn_realizations( + pkl_filename, + set_years, + n_scenarios=1, + n_days=365, + result_filename="synthetic_lmps", + write_excel=False, +): + + syn_hist = SynHist_integration(pkl_filename) + + final_lmp_data = {} + for s in range(1, n_scenarios+1): + final_lmp_data[s] = {} + + # Generate synthetic history + syn_hist_dict = syn_hist.generateSyntheticHistory("price", set_years) + + # set of clusters + cluster_set = [i for i in syn_hist_dict["LMP"][set_years[0]].keys()] + + for y in set_years: + # Cluster map day -> cluster + cmap = [c for d in range(n_days) for c in cluster_set + if d in syn_hist_dict["cluster_map"][y][c]] + + # Clustered LMP signals + LMP = syn_hist_dict["LMP"][y] + lmp_list = [] + + for d in range(n_days): + _cluster_lmps = [v for v in LMP[cmap[d]].values()] + lmp_list.extend(_cluster_lmps) + + final_lmp_data[s][y] = lmp_list + + + if write_excel: + filename = result_filename + ".xlsx" + df_final_lmp_data = {} + + for s in range(1, n_scenarios+1): + df_final_lmp_data[s] = pd.DataFrame(final_lmp_data[s]) + + with pd.ExcelWriter(filename) as writer: + for s in range(1, n_scenarios+1): + df_final_lmp_data[s].to_excel(writer, sheet_name="Scenario" + str(s)) + + if n_scenarios == 1: + return final_lmp_data[1] + + else: + return final_lmp_data diff --git a/dispatches/util/syn_hist_integration.py b/dispatches/util/syn_hist_integration.py index 73d0d6c19..3f736ab13 100644 --- a/dispatches/util/syn_hist_integration.py +++ b/dispatches/util/syn_hist_integration.py @@ -103,16 +103,19 @@ def generateSyntheticHistory(self, signal_name, set_years): cluster_steps = operator.attrgetter("runner.rom._segmentROM._macroSteps")(self) newSynHist['weights_days'] = {} newSynHist['LMP'] = {} + newSynHist['cluster_map'] = {} # loop through ROM years to extract clusters per year for year in set_years: newSynHist['weights_days'][year] = {} + newSynHist['cluster_map'][year] = {} for cluster in synHistDays: # using attrgetter to extract protected members -> cluster_steps[year]._clusterInfo['map'] cluster_map = operator.attrgetter('_clusterInfo')(cluster_steps[year])['map'] cluster_ind = int(cluster-1) newSynHist['weights_days'][year][cluster] = len(cluster_map[cluster_ind]) + newSynHist['cluster_map'][year][cluster] = list(cluster_map[cluster_ind]) # generated synthetic histories span multiple years, must index for given set_years year_index = [np.where(synHistYears == year)[0][0] for year in set_years] From b8acdf04b31cacf06753e1709e4521fa84a955f0 Mon Sep 17 00:00:00 2001 From: Radhakrishna Date: Fri, 10 Mar 2023 17:48:46 -0500 Subject: [PATCH 22/29] Re-run notebook --- ...od_design_pricetaker_wTEALandSynhist.ipynb | 646 +++++++++--------- 1 file changed, 325 insertions(+), 321 deletions(-) diff --git a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb index ca0a8060d..62a0be412 100644 --- a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb +++ b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb @@ -88,12 +88,28 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 1, "id": "automated-antigua", "metadata": { "scrolled": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PluginFactory: No installed plugins detected.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "PySide2/__init__.py: Unable to import shiboken2 from c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\ray\\thirdparty_files, c:\\Users\\Radhakrishna\\Desktop\\code_repositories\\dispatches\\dispatches\\case_studies\\nuclear_case, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\python38.zip, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\DLLs, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test, , c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages, c:\\users\\radhakrishna\\desktop\\code_repositories\\dispatches, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\win32, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\win32\\lib, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\Pythonwin, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\IPython\\extensions, C:\\Users\\Radhakrishna\\.ipython, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\PySAM\\, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\PySAM\\\n", + "PySide2/__init__.py: Unable to import shiboken2 from c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\ray\\thirdparty_files, c:\\Users\\Radhakrishna\\Desktop\\code_repositories\\dispatches\\dispatches\\case_studies\\nuclear_case, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\python38.zip, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\DLLs, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test, , c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages, c:\\users\\radhakrishna\\desktop\\code_repositories\\dispatches, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\win32, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\win32\\lib, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\Pythonwin, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\IPython\\extensions, C:\\Users\\Radhakrishna\\.ipython, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\PySAM\\, c:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\PySAM\\\n" + ] + } + ], "source": [ "# General python imports\n", "import os\n", @@ -167,7 +183,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 2, "id": "annoying-myrtle", "metadata": { "scrolled": false @@ -177,7 +193,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "2023-02-28 09:33:32 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2023-03-10 17:30:56 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", "Degrees of freedom: 0\n", "Ipopt 3.13.2: nlp_scaling_method=gradient-based\n", "tol=1e-06\n", @@ -238,7 +254,7 @@ "Number of equality constraint Jacobian evaluations = 2\n", "Number of inequality constraint Jacobian evaluations = 0\n", "Number of Lagrangian Hessian evaluations = 1\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 0.001\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 0.008\n", "Total CPU secs in NLP function evaluations = 0.000\n", "\n", "EXIT: Optimal Solution Found.\n" @@ -247,10 +263,10 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.07123446464538574}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.16742944717407227}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, - "execution_count": 46, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -289,7 +305,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 3, "id": "animal-astronomy", "metadata": {}, "outputs": [ @@ -363,7 +379,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 4, "id": "guilty-appliance", "metadata": {}, "outputs": [], @@ -423,7 +439,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 5, "id": "0ada016c", "metadata": { "scrolled": true @@ -434,35 +450,35 @@ "output_type": "stream", "text": [ "InputData: Using param spec \"pickledROM\" to read XML node \"ROM.\n", - "(405099.95 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", - "(405099.95 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", - "(405099.97 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", - "(405099.98 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", - "(405099.99 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", - "(405100.01 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", - "(405100.02 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", - "(405100.03 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", - "(405100.04 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", - "(405100.05 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", - "(405100.06 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", - "(405100.07 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", - "(405100.09 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", - "(405100.10 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", - "(405100.11 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", - "(405100.12 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", - "(405100.13 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", - "(405100.14 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", - "(405100.15 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", - "(405100.17 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", - "(405100.18 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", - "(405100.19 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", - "(405100.20 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", - "(405100.22 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", - "(405100.23 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", - "(405100.24 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", - "(405100.25 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", - "(405100.27 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", - "(405100.28 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n" + "(3037678.70 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", + "(3037678.70 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", + "(3037679.46 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", + "(3037679.48 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", + "(3037679.51 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", + "(3037679.53 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", + "(3037679.54 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", + "(3037679.55 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", + "(3037679.57 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", + "(3037679.58 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", + "(3037679.61 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", + "(3037679.62 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", + "(3037679.66 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", + "(3037679.69 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", + "(3037679.71 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", + "(3037679.74 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", + "(3037679.76 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", + "(3037679.78 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", + "(3037679.81 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", + "(3037679.82 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", + "(3037679.84 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", + "(3037679.86 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", + "(3037679.87 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", + "(3037679.89 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", + "(3037679.90 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", + "(3037679.92 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", + "(3037679.94 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", + "(3037679.96 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", + "(3037679.97 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n" ] } ], @@ -477,11 +493,9 @@ "project_year_map = [[y]*n for y,n in zip(years_to_sample, years_per_set)]\n", "project_year_map = np.array(sum(project_year_map, [])) # some magic to flatten the list, had trouble when list of lists had more than 2 entries\n", "\n", - "set_years = np.arange(years_to_sample[0], years_to_sample[0] + plant_life) # Set of years\n", - "\n", "# location of trained ARMA model file\n", "cwd = os.getcwd()\n", - "targetFile = cwd + \"\\\\ARMA_Model_real\\\\output\\\\arma.pk\"\n", + "targetFile = cwd + \"\\\\ARMA_Model\\\\arma.pk\"\n", "synHistIntegration = SynHist_integration(targetFile) # this object used to generate histories\n", "\n", "# generate single synthetic history / sampled scenario\n", @@ -532,7 +546,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 6, "id": "aac88a5a", "metadata": {}, "outputs": [], @@ -573,7 +587,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 7, "id": "62ac5fa1", "metadata": {}, "outputs": [], @@ -592,7 +606,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 8, "id": "97f6bb19", "metadata": {}, "outputs": [], @@ -666,7 +680,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 9, "id": "9c21b065", "metadata": {}, "outputs": [ @@ -675,11 +689,11 @@ "output_type": "stream", "text": [ "[+ 0.00] Beginning the formulation of the multiperiod optimization problem.\n", - "[+ 224.86] Completed the formulation of the multiperiod optimization problem.\n", - "2023-02-28 09:37:21 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "[+ 3.36] Created an instance of the flowsheet and initialized it.\n", - "[+ 16.42] Initialized the entire multiperiod optimization model.\n", - "[+ 0.51] Unfixed the degrees of freedom from each period model.\n" + "[+ 183.81] Completed the formulation of the multiperiod optimization problem.\n", + "2023-03-10 17:34:08 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "[+ 6.91] Created an instance of the flowsheet and initialized it.\n", + "[+ 14.92] Initialized the entire multiperiod optimization model.\n", + "[+ 0.48] Unfixed the degrees of freedom from each period model.\n" ] } ], @@ -722,7 +736,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 10, "id": "22a22379", "metadata": {}, "outputs": [], @@ -794,7 +808,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 11, "id": "e7fcb9cb", "metadata": {}, "outputs": [], @@ -845,10 +859,9 @@ " \"Multiplier\": [-1],\n", " },\n", " \"Hourly\":{\n", - " \"Expressions\": ['fs.h2_turbine.turbine.work_mechanical',\n", - " 'fs.h2_turbine.compressor.work_mechanical'],\n", + " \"Expressions\": ['fs.h2_turbine.work_mechanical'],\n", " \"Value\": 4.25e-6, # $/MWh -> $/Wh\n", - " \"Multiplier\": [-1, -1], # these values come out with correct sign in expression\n", + " \"Multiplier\": [-1], # these values come out with correct sign in expression\n", " },\n", " },\n", " # Electricity Market: positive Cash flows\n", @@ -856,10 +869,9 @@ " \"Lifetime\": 20,\n", " \"Hourly\":{\n", " \"Expressions\": ['fs.np_power_split.np_to_grid_port.electricity',\n", - " 'fs.h2_turbine.turbine.work_mechanical',\n", - " 'fs.h2_turbine.compressor.work_mechanical'],\n", + " 'fs.h2_turbine.work_mechanical',],\n", " \"Value\": [], # this is LMP in $/MWh, should be path str to ROM\n", - " \"Multiplier\": [1e-3, -1e-6, -1e-6], # converting to $/kWh and $/Wh\n", + " \"Multiplier\": [1e-3, -1e-6], # converting to $/kWh and $/Wh\n", " },\n", " },\n", " # Hydrogen Market: positive Cash flows\n", @@ -886,7 +898,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 12, "id": "republican-diagnosis", "metadata": {}, "outputs": [], @@ -913,7 +925,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 13, "id": "c5844dcd", "metadata": {}, "outputs": [ @@ -1759,7 +1771,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 14, "id": "899d7df8", "metadata": {}, "outputs": [ @@ -2063,7 +2075,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 15, "id": "d7355a37", "metadata": {}, "outputs": [ @@ -2110,98 +2122,94 @@ " inequality constraints with only upper bounds: 3840\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -2.3394242e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -2.8588623e+09 1.91e+05 2.05e+04 -1.0 2.80e+06 - 8.39e-04 8.91e-01f 1\n", - " 2 -2.9064505e+09 7.78e+03 1.23e+04 -1.0 5.00e+05 - 1.83e-03 9.90e-01f 1\n", - " 3 -2.9071370e+09 2.28e+02 5.69e+02 -1.0 9.99e+03 - 2.52e-01 9.71e-01h 1\n", - " 4 -2.9074957e+09 1.30e+02 4.14e+02 -1.0 2.82e+02 - 1.48e-01 4.22e-01f 1\n", - " 5 -2.9078452e+09 9.87e+01 1.37e+03 -1.0 7.15e+02 - 2.36e-01 3.63e-01f 1\n", - " 6 -2.9090615e+09 1.09e+00 2.06e+03 -1.0 4.05e+02 - 1.66e-01 1.00e+00f 1\n", - " 7 -2.9103930e+09 4.00e-01 3.33e+03 -1.0 4.44e+02 - 4.42e-01 1.00e+00f 1\n", - " 8 -2.9124388e+09 1.74e-01 1.15e+03 -1.0 1.16e+03 - 8.72e-03 1.00e+00f 1\n", - " 9 -2.9138719e+09 5.34e-03 3.51e+02 -1.0 4.36e+03 - 3.60e-01 7.80e-01f 1\n", + " 0 -2.3956904e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -2.9275571e+09 1.91e+05 2.04e+04 -1.0 2.80e+06 - 8.58e-04 8.91e-01f 1\n", + " 2 -2.9767610e+09 7.78e+03 1.20e+04 -1.0 5.00e+05 - 1.84e-03 9.90e-01f 1\n", + " 3 -2.9779025e+09 2.28e+02 5.69e+02 -1.0 1.00e+04 - 2.60e-01 9.71e-01f 1\n", + " 4 -2.9784987e+09 1.31e+02 4.14e+02 -1.0 4.57e+02 - 1.38e-01 4.23e-01f 1\n", + " 5 -2.9790422e+09 1.01e+02 1.39e+03 -1.0 7.47e+02 - 2.38e-01 3.51e-01f 1\n", + " 6 -2.9809519e+09 1.05e+00 2.04e+03 -1.0 6.20e+02 - 1.63e-01 1.00e+00f 1\n", + " 7 -2.9829051e+09 3.49e-01 3.00e+03 -1.0 6.35e+02 - 4.60e-01 1.00e+00f 1\n", + " 8 -2.9856685e+09 1.46e-01 9.84e+02 -1.0 1.31e+03 - 9.53e-03 1.00e+00f 1\n", + " 9 -2.9873555e+09 3.89e-03 4.09e+02 -1.0 3.09e+03 - 2.64e-01 7.85e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -2.9157709e+09 9.93e-04 2.32e+03 -1.0 2.25e+03 - 1.06e-02 8.56e-01f 1\n", - " 11 -2.9173413e+09 1.14e-04 1.91e+04 -1.0 1.76e+03 - 2.85e-01 8.61e-01f 1\n", - " 12 -2.9191220e+09 3.26e-05 9.90e+03 -1.0 2.31e+03 - 4.31e-02 9.33e-01f 1\n", - " 13 -2.9204510e+09 5.69e-06 1.62e+04 -1.0 1.29e+03 - 2.09e-01 9.12e-01f 1\n", - " 14 -2.9216317e+09 1.22e-06 1.12e+04 -1.0 9.70e+02 - 2.55e-01 9.33e-01f 1\n", - " 15 -2.9225792e+09 2.89e-07 8.59e+03 -1.0 1.16e+03 - 2.96e-01 9.33e-01f 1\n", - " 16 -2.9232953e+09 8.61e-08 6.12e+03 -1.0 1.60e+03 - 3.75e-01 9.47e-01f 1\n", - " 17 -2.9237583e+09 2.91e-08 5.24e+03 -1.0 2.42e+03 - 2.93e-01 9.26e-01f 1\n", - " 18 -2.9239976e+09 1.22e-08 4.07e+03 -1.0 3.15e+03 - 2.62e-01 9.74e-01f 1\n", - " 19 -2.9240563e+09 2.20e-10 3.18e+03 -1.0 3.74e+03 - 2.82e-01 7.54e-01f 1\n", + " 10 -2.9891644e+09 4.06e-04 3.09e+03 -1.0 2.34e+03 - 1.96e-02 8.42e-01f 1\n", + " 11 -2.9905272e+09 2.30e-05 2.36e+04 -1.0 8.16e+02 - 1.91e-01 8.45e-01f 1\n", + " 12 -2.9917420e+09 2.60e-06 1.09e+04 -1.0 1.12e+03 - 1.90e-01 8.76e-01f 1\n", + " 13 -2.9927175e+09 3.85e-07 1.32e+04 -1.0 7.13e+02 - 2.53e-01 8.95e-01f 1\n", + " 14 -2.9934695e+09 7.96e-08 1.00e+04 -1.0 7.97e+02 - 3.13e-01 9.17e-01f 1\n", + " 15 -2.9939741e+09 2.06e-08 8.69e+03 -1.0 1.13e+03 - 3.64e-01 9.19e-01f 1\n", + " 16 -2.9942432e+09 5.03e-09 6.75e+03 -1.0 1.67e+03 - 2.81e-01 8.75e-01f 1\n", + " 17 -2.9943487e+09 3.18e-10 4.56e+03 -1.0 2.12e+03 - 2.81e-01 7.80e-01f 1\n", + " 18 -2.9943919e+09 1.16e-10 2.84e+03 -1.0 2.58e+03 - 3.78e-01 7.92e-01f 1\n", + " 19 -2.9943947e+09 1.16e-10 1.57e+03 -1.0 3.13e+03 - 4.42e-01 4.69e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20 -2.9240717e+09 1.16e-10 1.38e+03 -1.0 4.34e+03 - 6.29e-01 7.88e-01f 1\n", - " 21 -2.9240489e+09 1.16e-10 7.31e+02 -1.0 6.51e+03 - 4.80e-01 6.05e-01f 1\n", - " 22 -2.9240394e+09 2.33e-10 7.33e+02 -1.0 5.95e+03 - 3.23e-01 1.93e-01f 1\n", - " 23 -2.9239994e+09 1.16e-10 1.53e+03 -1.0 6.10e+03 - 3.15e-01 8.05e-01f 1\n", - " 24 -2.9239917e+09 1.16e-10 5.83e+03 -1.0 2.90e+04 - 1.38e-01 3.69e-01f 1\n", - " 25 -2.9239906e+09 2.33e-10 4.91e+03 -1.0 3.59e+04 - 1.62e-01 1.63e-01f 1\n", - " 26 -2.9239877e+09 2.33e-10 2.08e+04 -1.0 2.75e+04 - 1.45e-01 3.65e-01f 1\n", - " 27 -2.9239818e+09 2.33e-10 1.76e+04 -1.0 2.26e+04 - 2.82e-01 5.62e-01f 1\n", - " 28 -2.9239704e+09 1.16e-10 4.76e+03 -1.0 1.64e+04 - 3.22e-01 1.00e+00f 1\n", - " 29 -2.9239663e+09 1.16e-10 3.98e+03 -1.0 1.18e+04 - 4.63e-01 1.00e+00f 1\n", + " 20 -2.9943905e+09 2.33e-10 9.95e+02 -1.0 3.72e+03 - 5.17e-01 2.91e-01f 1\n", + " 21 -2.9943876e+09 2.33e-10 8.91e+02 -1.0 4.28e+03 - 1.67e-01 1.03e-01f 1\n", + " 22 -2.9943804e+09 2.33e-10 6.72e+02 -1.0 4.26e+03 - 2.34e-01 2.47e-01f 1\n", + " 23 -2.9943636e+09 2.33e-10 9.44e+02 -1.0 3.86e+03 - 3.02e-01 5.98e-01f 1\n", + " 24 -2.9943463e+09 1.16e-10 5.03e+03 -1.0 2.46e+03 - 2.07e-01 8.89e-01f 1\n", + " 25 -2.9943407e+09 1.16e-10 8.37e+03 -1.0 1.25e+04 - 2.86e-01 8.27e-01f 1\n", + " 26 -2.9943397e+09 1.16e-10 5.85e+03 -1.0 8.16e+03 - 3.79e-01 6.81e-01f 1\n", + " 27 -2.9943395e+09 1.16e-10 6.59e+03 -1.0 7.96e+03 - 3.89e-01 1.00e+00f 1\n", + " 28 -2.9943337e+09 1.16e-10 3.64e+03 -1.0 4.85e+03 - 5.26e-01 1.00e+00f 1\n", + " 29 -2.9943303e+09 1.16e-10 1.21e+03 -1.0 3.71e+03 - 6.61e-01 1.00e+00f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30 -2.9239568e+09 1.16e-10 4.33e+03 -1.0 1.14e+04 - 3.49e-01 1.00e+00f 1\n", - " 31 -2.9239506e+09 1.16e-10 1.58e+03 -1.0 7.38e+03 - 5.95e-01 1.00e+00f 1\n", - " 32 -2.9239453e+09 1.16e-10 2.62e+02 -1.0 6.40e+03 - 7.56e-01 1.00e+00f 1\n", - " 33 -2.9239398e+09 1.16e-10 1.91e+01 -1.0 8.46e+03 - 9.90e-01 1.00e+00f 1\n", - " 34 -2.9239376e+09 1.16e-10 3.79e+00 -1.0 4.88e+03 - 1.00e+00 1.00e+00f 1\n", - " 35 -2.9239376e+09 1.16e-10 3.75e-01 -1.0 1.14e+03 - 1.00e+00 1.00e+00f 1\n", - " 36 -2.9241993e+09 1.40e-10 1.69e+01 -1.7 5.39e+04 - 1.00e+00 1.00e+00f 1\n", - " 37 -2.9242000e+09 1.16e-10 2.61e-02 -1.7 1.24e+03 - 1.00e+00 1.00e+00f 1\n", - " 38 -2.9242472e+09 1.16e-10 3.00e+03 -3.8 1.40e+04 - 1.00e+00 7.25e-01f 1\n", - " 39 -2.9242574e+09 1.16e-10 8.14e+03 -3.8 3.94e+03 - 1.00e+00 5.75e-01f 1\n", + " 30 -2.9943260e+09 1.16e-10 4.73e+02 -1.0 4.52e+03 - 7.47e-01 1.00e+00f 1\n", + " 31 -2.9943227e+09 1.16e-10 1.93e+01 -1.0 4.53e+03 - 9.90e-01 1.00e+00f 1\n", + " 32 -2.9943217e+09 1.16e-10 3.45e+00 -1.0 1.89e+03 - 9.99e-01 1.00e+00f 1\n", + " 33 -2.9943217e+09 1.16e-10 5.01e-01 -1.0 7.60e+02 - 1.00e+00 1.00e+00f 1\n", + " 34 -2.9944792e+09 1.16e-10 1.03e+01 -1.7 2.96e+04 - 1.00e+00 1.00e+00f 1\n", + " 35 -2.9944794e+09 1.16e-10 4.36e-02 -1.7 4.05e+02 - 1.00e+00 1.00e+00f 1\n", + " 36 -2.9945097e+09 1.16e-10 4.03e+02 -2.5 6.54e+03 - 1.00e+00 8.96e-01f 1\n", + " 37 -2.9945129e+09 1.16e-10 2.15e+00 -2.5 6.98e+02 - 1.00e+00 1.00e+00f 1\n", + " 38 -2.9945128e+09 1.16e-10 5.69e-01 -2.5 4.27e+01 - 1.00e+00 1.00e+00f 1\n", + " 39 -2.9945128e+09 1.16e-10 3.15e-02 -2.5 9.59e+00 - 1.00e+00 1.00e+00f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40 -2.9242603e+09 2.33e-10 4.83e+03 -3.8 1.66e+03 - 1.00e+00 4.04e-01f 1\n", - " 41 -2.9242614e+09 2.33e-10 3.37e+03 -3.8 9.49e+02 - 5.88e-01 3.02e-01f 1\n", - " 42 -2.9242619e+09 2.33e-10 2.67e+03 -3.8 6.44e+02 - 1.85e-01 2.08e-01f 1\n", - " 43 -2.9242621e+09 2.33e-10 2.26e+03 -3.8 5.73e+02 - 1.96e-01 1.56e-01f 1\n", - " 44 -2.9242623e+09 2.33e-10 1.90e+03 -3.8 7.00e+02 - 1.62e-01 1.59e-01f 1\n", - " 45 -2.9242624e+09 2.33e-10 1.71e+03 -3.8 6.13e+02 - 2.64e-01 1.01e-01f 1\n", - " 46 -2.9242625e+09 2.33e-10 1.43e+03 -3.8 4.81e+02 - 1.72e-01 1.62e-01f 1\n", - " 47 -2.9242625e+09 2.33e-10 1.29e+03 -3.8 2.05e+02 - 5.45e-02 9.99e-02f 1\n", - " 48 -2.9242626e+09 3.49e-10 1.14e+03 -3.8 1.93e+02 - 2.75e-01 1.41e-01f 1\n", - " 49 -2.9242627e+09 3.49e-10 9.68e+02 -3.8 1.71e+02 - 1.51e-01 1.52e-01f 1\n", + " 40 -2.9945128e+09 1.16e-10 1.17e-04 -2.5 5.79e-01 - 1.00e+00 1.00e+00h 1\n", + " 41 -2.9945146e+09 2.33e-10 2.45e+03 -3.8 9.85e+02 - 8.08e-01 3.75e-01f 1\n", + " 42 -2.9945156e+09 2.33e-10 9.14e+02 -3.8 5.84e+02 - 1.76e-01 4.39e-01f 1\n", + " 43 -2.9945156e+09 2.33e-10 1.04e+03 -3.8 3.74e+02 - 2.02e-01 4.14e-02f 1\n", + " 44 -2.9945157e+09 2.33e-10 8.71e+02 -3.8 3.97e+02 - 1.41e-01 1.50e-01f 1\n", + " 45 -2.9945158e+09 2.33e-10 8.81e+02 -3.8 3.04e+02 - 1.80e-01 8.89e-02f 1\n", + " 46 -2.9945159e+09 2.33e-10 5.78e+02 -3.8 2.17e+02 - 1.36e-01 2.46e-01f 1\n", + " 47 -2.9945159e+09 2.33e-10 4.47e+02 -3.8 1.61e+02 - 2.53e-01 2.41e-01f 1\n", + " 48 -2.9945160e+09 2.33e-10 3.63e+02 -3.8 8.49e+01 - 2.44e-01 2.17e-01f 1\n", + " 49 -2.9945160e+09 2.33e-10 2.26e+02 -3.8 6.10e+01 - 1.52e-01 2.68e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50 -2.9242628e+09 2.33e-10 5.55e+02 -3.8 1.59e+02 - 1.36e-01 4.08e-01f 1\n", - " 51 -2.9242628e+09 2.33e-10 4.27e+02 -3.8 9.08e+01 - 9.33e-02 2.31e-01f 1\n", - " 52 -2.9242629e+09 2.33e-10 3.05e+02 -3.8 6.88e+01 - 5.22e-01 3.42e-01f 1\n", - " 53 -2.9242629e+09 2.33e-10 2.37e+02 -3.8 2.71e+01 - 2.43e-01 2.22e-01f 1\n", - " 54 -2.9242629e+09 2.33e-10 2.53e+02 -3.8 2.11e+01 - 1.00e+00 3.52e-01f 1\n", - " 55 -2.9242629e+09 1.16e-10 3.78e+01 -3.8 1.28e+01 - 6.21e-01 1.00e+00f 1\n", - " 56 -2.9242629e+09 1.16e-10 8.29e-05 -3.8 3.54e+00 - 1.00e+00 1.00e+00f 1\n", - " 57 -2.9242630e+09 2.33e-10 7.56e+01 -5.7 4.80e+01 - 2.72e-01 8.63e-02f 1\n", - " 58 -2.9242630e+09 2.33e-10 8.17e+01 -5.7 3.81e+01 - 1.53e-01 9.70e-02f 1\n", - " 59 -2.9242630e+09 2.33e-10 1.07e+02 -5.7 3.70e+01 - 2.88e-01 1.83e-01f 1\n", + " 50 -2.9945160e+09 2.33e-10 2.01e+02 -3.8 4.03e+01 - 4.67e-01 3.15e-01f 1\n", + " 51 -2.9945161e+09 2.33e-10 1.64e+02 -3.8 2.49e+01 - 4.81e-01 3.22e-01f 1\n", + " 52 -2.9945161e+09 2.33e-10 9.41e+01 -3.8 1.56e+01 - 3.31e-01 3.91e-01f 1\n", + " 53 -2.9945161e+09 2.33e-10 1.54e+02 -3.8 8.94e+00 - 9.24e-01 2.17e-01f 1\n", + " 54 -2.9945161e+09 1.16e-10 2.03e+01 -3.8 6.65e+00 - 4.17e-01 9.13e-01f 1\n", + " 55 -2.9945161e+09 1.16e-10 9.28e-05 -3.8 5.61e-01 - 1.00e+00 1.00e+00f 1\n", + " 56 -2.9945161e+09 2.33e-10 7.27e+01 -5.7 2.33e+01 - 1.71e-01 3.16e-01f 1\n", + " 57 -2.9945162e+09 1.16e-10 1.33e+02 -5.7 1.47e+01 - 4.12e-01 7.21e-01f 1\n", + " 58 -2.9945162e+09 1.16e-10 1.43e+01 -5.7 2.27e+00 - 8.73e-01 9.55e-01f 1\n", + " 59 -2.9945162e+09 1.16e-10 9.60e-06 -5.7 1.94e-01 - 1.00e+00 1.00e+00f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60 -2.9242630e+09 2.33e-10 6.82e+01 -5.7 2.73e+01 - 1.28e-01 2.24e-01f 1\n", - " 61 -2.9242631e+09 1.16e-10 1.37e+02 -5.7 2.22e+01 - 2.93e-01 8.28e-01f 1\n", - " 62 -2.9242631e+09 1.16e-10 4.65e+00 -5.7 1.78e+00 - 9.29e-01 1.00e+00f 1\n", - " 63 -2.9242631e+09 1.16e-10 1.95e-06 -5.7 2.44e-01 - 1.00e+00 1.00e+00f 1\n", - " 64 -2.9242631e+09 1.16e-10 1.96e-05 -7.0 3.68e-01 - 1.00e+00 1.00e+00f 1\n", - " 65 -2.9242631e+09 1.16e-10 4.33e-09 -7.0 1.86e-03 - 1.00e+00 1.00e+00h 1\n", + " 60 -2.9945162e+09 1.16e-10 1.01e-05 -7.0 1.90e-01 - 1.00e+00 1.00e+00f 1\n", + " 61 -2.9945162e+09 1.16e-10 3.79e-09 -7.0 5.40e-04 - 1.00e+00 1.00e+00h 1\n", "\n", - "Number of Iterations....: 65\n", + "Number of Iterations....: 61\n", "\n", " (scaled) (unscaled)\n", - "Objective...............: -3.5742616356175713e+07 -2.9242630619882684e+09\n", - "Dual infeasibility......: 4.3282692556504854e-09 3.5411503680958873e-07\n", + "Objective...............: -6.1002174214505367e+07 -2.9945161760766697e+09\n", + "Dual infeasibility......: 3.7918072759803806e-09 1.8613481192590852e-07\n", "Constraint violation....: 1.1641532182693481e-10 1.1641532182693481e-10\n", - "Complementarity.........: 9.1103223015435343e-08 7.4535615198769848e-06\n", - "Overall NLP error.......: 9.1103223015435343e-08 7.4535615198769848e-06\n", + "Complementarity.........: 9.1255044690767498e-08 4.4795896374808977e-06\n", + "Overall NLP error.......: 9.1255044690767498e-08 4.4795896374808977e-06\n", "\n", "\n", - "Number of objective function evaluations = 66\n", - "Number of objective gradient evaluations = 66\n", - "Number of equality constraint evaluations = 66\n", - "Number of inequality constraint evaluations = 66\n", - "Number of equality constraint Jacobian evaluations = 66\n", - "Number of inequality constraint Jacobian evaluations = 66\n", - "Number of Lagrangian Hessian evaluations = 65\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 30.893\n", - "Total CPU secs in NLP function evaluations = 15.194\n", + "Number of objective function evaluations = 62\n", + "Number of objective gradient evaluations = 62\n", + "Number of equality constraint evaluations = 62\n", + "Number of inequality constraint evaluations = 62\n", + "Number of equality constraint Jacobian evaluations = 62\n", + "Number of inequality constraint Jacobian evaluations = 62\n", + "Number of Lagrangian Hessian evaluations = 61\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 27.691\n", + "Total CPU secs in NLP function evaluations = 16.104\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -2209,10 +2217,10 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212120, 'Number of variables': 211163, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 48.36436223983765}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212120, 'Number of variables': 211163, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 46.825355529785156}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, - "execution_count": 59, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -2239,7 +2247,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 16, "id": "scientific-nudist", "metadata": {}, "outputs": [], @@ -2286,7 +2294,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 17, "id": "disabled-invitation", "metadata": {}, "outputs": [ @@ -2294,14 +2302,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "Optimal PEM capacity : 0.0007913403429428723 MW\n", - "Optimal tank capacity : 8.043560634008343e-06 kg\n", - "Optimal turbine capacity: 9.076514780189174e-05 MW\n" + "Optimal PEM capacity : 0.0007913308684398889 MW\n", + "Optimal tank capacity : 4.932728752195283e-06 kg\n", + "Optimal turbine capacity: 9.076111217417622e-05 MW\n" ] }, { "data": { - "image/png": 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", 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d5iJJ6oQQ9e7aCxKZ/N9tHDtdSFJiCABbjmXzzvKDXHtBonc7J4QQ3nBB2cuDJKlrhOx2O3azudr9KqMRlUpV7X4hGpunL+1MZJCB91ccIj2vGICoIAN3D2vDXUPbeLl3oiFJfBOi/khS18jY7XaO3jQe8+bN1dYx9u5Ny88/k8Anztunq4/w7vJDZOQX0zk2mJlju9Kz7EpaRaVWG2//eZD/bjpBam4RbSICePIfnRjeMarW86jVKu69sC33XtiWvKJSwHl0rGgeJL4JUb9koEQjYzebawx4AOZNm2r8piuEK37ceorZi3fz8Mj2/PTgELrEBnHr/LVk5hdXWf8/v+7li3VHmTm2K79NvJDxA1pyz4KN7DiZ49Z5g/x0ktA1UxLfhKhfcqWuEWu/aiVqo9GxbTOb2T94iBd7JHzJBysPc0O/RK4re6btuXHd+WNPOt9sOM59wyuvVvDdppM8cFE7RnRSrszdEt6SVfsz+WDFIV67oVel+pe9voIv7hyAyV/HpXNXUNOFl58eGuqZNyWaDIlvQnieJHWNmNpoRO3v7+1uiCYkLy/Paa3PiuuAnlVisbHjZA73DW/rKFOrVQxuF8Gmo9lVtl1itWHQOl/c99OpWX/kTJX1R3WJRl9Wf3TXaHffivBxEt9EvXmn7HWkbLsrMA34R9l2EfAo8BVQDIwB3gbKh6ljwL+BP4FAYAKQjHPWtAyYBOwEElGmKbnNs2/FXZLUCeFDunTp4rQ9ffp0ZsyYUanemcISrDY7EYHOCV9koIGDGQVVtj2sfSQfrDhMv9bhtAzzZ9XBTH7ZmYrNVnVfHhnZAVAmGR7YJpxOscGYjHLbVQhRzxKAF4D2gB34BLgC2IyS4E0EfgIWAibgAeAqYFXZ8VaUueRigL+BFJT54nTA82V1DpfVuRf4HPgdZULhWJQk0VW/l73SgYqx9EM32ikjSZ0QPmTXrl3Ex8c7tqu6SldX0y/vwpOLtnPxy8tQqVS0DPPn2j6JtU4erFGruOXDdfw+6UJJ6oQQ9e/yCtvPoVy5W4OS8M0HvgAuKtv/EdCZc0t4/YoySfBvKFfvegKzgMnADEAPzANaAy+XtdEZZc65V3E9qZsJPIsyrUks4IGxQXVK6uylpVgyM7GZi9CGhaIJCTn/ngghzltQUBDBwcG11gv116NRqyoNisjILyYysOpEMDzQwPu3XkBRqZXswlKigw288MseWoTVfgutY3QQx04XkuhCXW+T+CaED7GiXJErAAYCG4FSYGS5Op2AFsBqlKRuNdAd59uxY1Bux+4EepXVKd/G2TqPuNG3ecDHKEuHeYjLSZ01v4DcH/9H7k9LMG/fjr20VFmlW6VCGxNN4ODBhFx3Hcbu3T3XOyFEvdBr1XSLN/H3gUzGdI0BwGaz8/eBLG4d1LLGY/10GmJMGkqtNn7Zkcpl3WNrPd+jozvw3E+7eXR0B7rHmzDqNU77vT0aVuKbEE2Dq88Nsx0liStCeSbuO6ALsAXlSltIhfrRQGrZ76k4J3SU266tTi7K6hBGalcCDHKhnhtcSuqyPvqYrHnz0LVoQeCI4YTfcw/aqCjUfgasOTkU799P4YaNHPvXnRh79CBm6tPoW7XybE+FEB5155DWPLpwK90TQuiZaGL+yiMUlli4to8yGnbS11uINvkx+ZJOAGw+doa03CK6xJpIzS3itd/2YbPbuefCtjWdBoDbP16vnPPTDU53GOwodxwOJV/m4XfnOolvQjQdrj43TEeUBC4H+BZloMPy+u6dm+5EuQ38jOeadCmpK9q+nZafLcDQvn2V+409ehBy9dXYSkrIWbSIwo0bJegJ0chdnhTH6YISXl26j4y8YjrHBfPJHf2IDFK+9Z7MNjtNAFtssfGfX/dx7HQhAXoNIzpG8er1PV16Tu7LuwbU2/s4XxLfhGg6XH5uWA+cnZmpD7AemAtcj3KFLBvnq3VpKAMjKPu5rkJ7aeX2nf2ZVkWdYFy7SgfKVcT3UJ7d64EyEKO8V1xspxyXkrr4V16uvRKg1usJveEG93shhPCKCYNaMWFQqyr3fX3PQKftAW3C+W3ShXU6z4A24XU6riFIfBOi6XD1ueFKbCjTl/RBSZ5+B64u27cXZQqTsyFvIMrginTg7II5S1ESti7l6iypcI6l5dpwxTaUQRgAOyrsq+OgCRn9Kpo1WYeyYexOya2yXKUCg1ZDXIgfBq2myjpCiLpptvFtCsqcdC2APJRbnMuA/0OZwuRfKPPLhaEkag+iJGNnbyiMRknebgHmoDw/NxW4Hzh7YfBe4E3gCeAO4A/gG5SpUlz1Zx3eWy3cTupshYVkvv8+havXYDl9moqTVLX7banHOidEfZJ1KBvOpa+vqPGLp1aj5p89Ynn+yu746byX3El8E76iWce3dJR55VJQkrgeKAndqLL9r6Iskno1zpMPn6UBFqOMdh0IBKA8k/dsuTqtURK4iSi3dROAD3BvjrryTpT9TKjj8WXcTupSpj5D4fr1mK4YizYykhrX/hGiEXNnHUqVzHx/Xt69uQ8v/LKHe4a1ISkxBICtx7N5f8VhHr64PVabnRd/2cPLv+7l6cu61NxYPZL4JnxFs45v82vZ7we8VfaqTksq316taDjKhMZ1ZQNmo8x1l19WFoSy2sXTKImnm9xO6vJXrCDx3Xn49+7t/tmEaKRkHcr69dafB5h+eVcu7BDpKOsUE0yMycgrv+7lhweGYNRreO6n3V5N6iS+CV8k8a2ReholAX0BGFxWthJlguMilOf63OR2UqcJDkZjMrl/JiEaMU+uQ9lsn2OpwZ7UPOJDKg8Jiw8xsic1D4AuscGk5xU1dNecSHwTvqgh4xs0zxhXJ5+g3LIdW66sBxAP3EfDJHWRDz9ExutvEPdCslPmL4Ro5s+x1KBtZCDvLDtI8lXd0WuVewqlVhvvLDtI28hAANJyiyqtRdvQJL4JUT1X4hs0zxhXJ6dRVrOoqFPZvjpwKak7dOVVTsNrS48eY//gIeji40Hn3ESbRYvq1hPhNXJlyXOa9XMsNZg1rit3frKBgcnpdIoNAmBvah5Wm535t/UF4NjpQm4ZUPNqFvVB4ptvk/jmOa7EN2ieMa5OklBG0L5eofzNsn114FJSF3TxxXVrXTR6cmWp/shzLOf0aRnGiskX8f3mkxzOLADg0u6xXNEznkCDEoau6n2ew77qSOKb75L4Vn8qxjdo3jGuTuYAl6FMPnx2frvVwHFqH6RRDZeSusgH7q9b66LRkytL9ceTz7H4gkCDlpu9cCWuNhLffJfEt/oj8c0DLgT2oYzC3VNWdhXK83RxdWvS5WfqTk1+Ev+BAwjo1w9dXB3PJho1ubIkmiuJb75P4ptolOKo04CI6ric1JWeOkXq9BnYS0vRxcfj378fAf3749+/P7qoqNobqELh+vVkzf+Qop07sWRkkPDmGwSNHOnYf+rJKeR8/73TMQFDhtDig/cd29bsbFJnP0f+n3+CWk3Q6FHEPPUU6oCAOvWpOZNvXqK5qo/4BhLjGhOJb6JR2AZ0Q5mDblstdXu437zLSV3LBZ9iKynBvGkzhevWUbhuHSn/+xG7xYK+ZUslCA4YQPAll7h8cpvZjKFTR0xXX8XJBx+qsk7A0KHEPX8ujVXp9U77Tz7+BJaMDFp8OB+7xcKpp54iZdp04l/+j8v9EEI0b/UR30BinBCigp4oy45Flf2uAuxV1FMBVvebd2tKE7VeT8CA/gQM6A+ArbgY8+bN5P+1guxvviH7m4VuBb3AYcMIHDYMgJPV1FHp9crM7lUoPniQghUraLVwIcbu3QCImTqV43ffQ9QTT6CLrvs3bCFE8+Lp+AYS44QQFRwGIsv97mFuz1MHYC8poXDLFgrXradw7VrM27ahjYoiaPRoT/ePwnXr2DdoMJrgYPwH9Cfy4YfRhoYCYN6yBXVwsCPYAQQMHAhqNeZtW9GNGlVlm8XFxRQXFzu28/LyPN5vIURl20/kcCBD+XtrHxVEt/jGN9FvQ8Y38HyMk/gmRCNWfqzYUWAQlTMxC/B3hboucjmpK1y/noJ16yhcuw7ztm3oYmPx79uXkOuuI+6lOehiYtw/ey0Chg4haPQodPEJlB4/Rvqrr3H87nto9dWXqDQaLBmZaMPCnI5RabVoTCasmZnVtpucnMzMmTM93l8hRNUy84t58IvNrDmcRbCfDoDcolIGtgnnjRt7Ee7lSYe9Ed+gfmKcxDchmogRQArKrdjycsr21eft16O3TkAXG0v4XXcS/8rLaCMi3D+bm0yXXeb43a9jBwwdO3Jw1GgK161Tvq3W0ZQpU5g0aZJj++TJk3Tp4r31JoXwddP/t5OCEgtLJw6jXZQy+fD+tDweXbiVGT/u4o0be3m1f96Ib1A/MU7imxBNhB2nic8dsoA6joNyOakLv/NfFKxbR9rzyZz58iv8+/bFv18//Pv1ddwqqG/6xEQ0oaGUHD1GwMCBaCMjsJx2XkvDbrFgzclBU0NQNhgMGAznrgzk5ubWW5+FEPDX3gw+u7O/I6EDaB8dxLNXdOOW+Wu92DNFY4hv4JkYJ/FNiEbuqrKfKuA2oPyNCivKqNhBdWva5aQu6tFHAbAVFFC4cSOF69aRNX8+Jx97DEOrlmVBsD/Bl4ypW09cUJqaijU7G22U8pShsWdPbLm5mHfsxNitKwAFa9aCzYaxRx3X2BBCeJzNbkerqfyVVKtWYa9q5FcDawzxDSTGCdEsnH2U2A4EAeUX5tADA4C76ta02wMl1AEBTiO6rNnZZH38MWc++5wzX31N8CU7XW7LVlBAybFjju2SEyco2r0bjcmExmQi4623CR49Ck1EpPK8yUv/Qd+iBQFDlAkjDW3bEjB0KCnTniF2xgzsFgtps2YRfOmlMipMiEZkYNsIZpbdZo0O9gMgNaeIWYt3MahtuJd7d44n4xtIjBNCVOGjsp+tgMcBD06f6HZSZ7fZKNq+XXmoeN16zJs2YSssRBcbS1A1o02rY96xk2MTJji20194EQDTuHHEzJhO8d69HP/+e6x5eegiIwkYPJjIhx9CXW4ep/iX5pA6azbHbru9bGLO0cQ8/ZS7b0sIUY+evaIrd36ygSEv/kGsSflampJjpkN0EK/d0NO7nSvHk/ENJMYJIWpwK8pcR+0rlO8HdChJn5tcTuqyPviAgnXrMG/ajK2gAG10NP79+hL91BT8+/dHn+D+YtwB/fvRec/uave3mP9BrW1oQkJkEk4hGrm4ECM/PTSElQcyOZieD0C7qCCGtG+YAQm1qY/4BhLjhBA1uA24g8pJ3VrgA2CZ+026nNSd/uRT/Pv1I+qJxwno3x99y8a3MLcQonH678YT/DMplqHtIxna/txEuyUWGz9uPcXVfeqWNHmKxDchRIPbDAyuonwA8EDdmnQ5qWu/4q+6nUEI0Wh9uvoI7y4/REZ+MZ1jg5k5tis9E0OqrT9/5WE+X3OUk9lmwgL0/KNbLE9c0hE/nabG8zz+7VYu7BiJIdC5XkGxhce/3er1pE7imxCiwamAquYGz6FOc9SBG0ld6alTLtXTxcXVrSdCiAb149ZTzF68m9lXdqNXYggfrjrMrfPX8sdjw4moYjLgH7ac5MVf9vDSNT3o3SKUw5kFPLZwKyoVPPPPmudBq246ppScIoLKJiP2JolvQogGNwxIBr4Ezn7ftZaVDalbky4ndQdGlntI+OwcBCqVc5lKRedd7o0OE0J4xwcrD3NDv0SuuyARgOfGdeePPel8s+E49w1vV6n+xqNnuKBlKFf0jAcgMcyfsUlxbDmeXe05Lp27ApVKSejGf7AWjfpczLDa7Jw4Y+bCDlWve9qQJL4JIRrciyiJXUdgaFnZCiAX+KNuTbo++lWlQhcdjenKKwkcMQKVtubbLUKIhpeXl+c02WzFiWjPKrHY2HEyh/uGt3WUqdUqBreLYNPR7Crb7tMylO82n2TL8Wx6JoZwLKuQP/emc1Xv6m+dju4aDcCulFyGdYjEX38ubug0ahJCjfyjW6y7b9PzJL4JIRpaF5SJht8EtqLMV3cryvN0YTUcVwPXn6lb9ifZ339PzqLvOPP115guv5yQa67G0LZt7QcLIRpExeWgpk+fzowZMyrVO1NYgtVmr3SbNTLQwMGMgirbvqJnPKcLSrh23t/Y7WCx2RnfvwX3j6h8Ve+sR0Z2ACAh1J9/9oit9dk7b5H4JoTwijjgec8153JSp42MJOKuu4i46y4KN24ke9Eijlx3Pfp2bQm5+mpCrrkGlVrtuZ4JIdy2a9cu4uPjHdtVXaWrq9UHs3jrz4PMuqIbPVuEcCSzkGd/3Mnrv+/noYsrjsl3do2XB0LURuKbEKLB1TY+a5j7Tbo9+TCAf58++Pfpg2XiRE4++hipM2YSPHo0mpCQujQnhPCQoKAggoODa60X6q9Ho1aRmV/sVJ6RX0xkFYMkAF5ZuperesdzQ78WAHSKCcZcamHKou08MKIdanVVQyGaHolvQogGMbyKsvJhtA4jYOv01bNw02ZOTZ3KwUv+ga2wkJhpz6B24X8kQojGQa9V0y3exN8HMh1lNpudvw9k0btlSJXHmEutTmMHANRlBY1g+VaPkfgmhGgQZyq80oFfgL7Ar3Vr0vUpTdLTyfnhB3IWfYc1NxfTP/9Jyy8+x69Dh7qdWQjhVXcOac2jC7fSPSGEnokm5q88QmGJhWv7KKNhJ329hWiTH5Mv6QTAxZ2imb/yMF3jTPRKDOFIVgGvLN3HxZ2jnUa1NkUS34QQDc5URdkoQA9MAja636TrU5pcdDG6qChM48YReNFFqHRasNsp2rvXqZ5fx47u90II0eAuT4rjdEEJry7dR0ZeMZ3jgvnkjn5EBim3X09mm1GVuzT34EXtUKng5V/3kppTRHiAnos7R/PYmKb/Ny/xTQjRaEQDe2utVSXXn6mzWilNSSHznXfInDdPKbNXuOki8zgJ0aRMGNSKCYNaVbnv63sGOm1rNWoeGdnBMaLVHVabnW83HmfVgSyyCoqx2Zz3f3n3ALfb9CiJb0KIhratwrYdSAFeAHrWrUmXk7p2vy2t2xmEEM3ezB938u3GE4zoFEWH6CBUVa4v4T0S34QQDa4nysCIig8lDwA+rFuTLid1BWvWEHjRRWhDQ+t2JiFEs/Xj1lO8dVNvRnSK8nZXqiTxTQjR4A5X2FYDkYBf3Zt0efRrzv9+5MCFwzlyw41kvv8+xQcP1v2sQohmRadR0zLc39vdqJbENyF8SDLKCNIgIAoYR+Vn1IqA+4FwIBC4GkirUOcYcBngX9bO44ClQp1lQG/AALQDPnajny0rvBI5r4QO3LhS1/KTj7Hm5JC/fDl5f/xJ1rx30USEEzTiIoIuvghjnz4yOacQokp3DW3DR6uO8OwVXZ0GXzQWEt+E8CHLURK2vihJ2FPAaGAXEFBWZyLwE7AQZRTqA8BVwKqy/VaUhC4G+BvlWbdbAR3nVoA4XFbnXuBz4HfgTiAWGFNN315343085EbdMm5NPqwxmTCNHYtp7FjsJSUUrF1L3h9/cPLxJ7AXFRF44TACR1xE4LChqP0b77dyIUTDWn/kNKsPZbFsXzodooLQapwTu3dvucBLPTtH4psQPuKXCtsfo1xp24iySkMOMB/4AriorM5HQGdgDcozbb+iJIG/oYxG7QnMAiYDM1CmHZkHtAZeLmujM7ASeJXqk7pXK2xnAIVASNl2NueuDNZ3UleeSq8ncOhQAocOhenTMW/fQf6ff5D5zjsUHzpI5H331bVpIYSPCTbqGNM1xtvdcJnENyEap7y8PHJzcx3bBoOh9uUQc8p+hpX93AiUAiPL1ekEtABWoyR1q4HuKAndWWOAfwM7gV5ldcq3cbbOIzX0pfxzdF8Ab6MkmGdnS9oL3AXcU/Nbqk6dk7qKjN27YezejciHHsJeWuqpZoUQPuA/1yZ5uwvnReKbEI1Dly5dnLanT5/OjBkzqj/AhpJkDQa6lZWlolxpC6lQN7ps39k60VXsx4U6uYAZMFbfLQCeAb7lXEJH2e+vAtcA42s5vgpuJXV2iwVsNlR6vaPszMKFmDdsxK9bN0JvHo9KpUKl07nfEyGEz8vKL+ZQZgEAbSICCK9mnVlvkPgmROO3a9cu4uPjHdu1XqW7H9iBclu0sUmh8sALUJ7nqzhow0VuJXUnH38cfUIiUY9OAuDMV1+T9uKLBA4dSubbb2NJT3fsE0KIswpLLEz/YSeLNp/EVjapr0al4qre8cwc2w2jXuPlHkp8E6IpCAoKItjVtZgfABYDfwEJ5cpjgBKU59dCypWnle07W2ddhfbSyu07+7Ni8pUGBFP7VTqAi1Fus36AMoIWlFvD/6bybV0XuTWcq2jXLgKGDnFsn/nma6KnPEnC63OJf+01cn5aXLdeCCF82qzFu1l7+DQfTLiAbdNHs236aN6/9QLWHj7N7J92ebt7gMQ3IXyGHSWh+w74A2UwQ3l9UEax/l6ubC/KFCZnF9IZCGwH0svVWYqSsHUpV6d8G2frDMQ1H6IkhhegTIliAPqh3ML9wMU2KnDpSt2pKU8BYElN48yCz8j5/gew2ynes5eCFSswb9kKVguW9AxOPfU0AHHPP1e3HgkhfM4vO1J4e3wfBrYNd5SN6BSFQafmgS8289yV3b3WN4lvQviY+1EGIfyAMlfd2WfgTChX0EzAv4BJKIMngoEHUZKxsysWjkZJ3m4B5pS1MbWs7bN3fO8F3gSeAO5ASSC/QZkqxRWRwBJgH7AbZXWJToD7KzE6uJTUxSUrk7IUrF1D2IRb8b/gAvKWLcO8aRMJb7wBgDUvj7zf/5BgJ4SoxFxqJTJIX6k8ItCAucTqhR6dI/FNCB/zTtnP4RXKPwJuK/v9VZR7lVcDxSijVt8uV1eDcuv23yjJXgAwAXi2XJ3WKAncRGAuyi3eD6h+OpPqdADal/1+ntN4uvVMXUDffqRMm47piivIWbSIoEv/4dhXvGcP+pYtz683Qgif1LtFKK8u3c/L1yXhp1OenysqtTL3t/30bhni3c6VkfgmhI+ouJZqVfyAt8pe1WmJciWtJsOBza51q0qfAi8B+8u2O6CsXHFL3Zpz65m6qCcn49etK7mLF+M/YAAR95ybSCXvt98xjb3crZMXrl/P8Xv/zf6hw9jdqTN5v/3mtN9ut5Px+uvsGzqUPUk9OXr77ZQcOeJUx5qdzcnHHmdvnwvY27cfp55+GltBgVv9EELUr+mXd2XD0dMMTP6dm95fw03vr2Fg8u9sPHqG6Zd39Xb3AM/HN5AYJ4SowSsoVwIvRblt+w1wCcpt3YqTFLvIrSt12tBQ4ufMqXJf9JQn3T65zWzG0Kkjpquv4uSDladOzvrgA04v+Iy4F5LRJSSQMfd1jt15F21+Woy6bBjzycefwJKRQYsP52O3WDj11FOkTJtO/Mv/cbs/Qoj60TEmiGWPjeD7LSc5mJ4PwNikOMb1indcufM2T8c3kBgnhKjBGyi3im8tVzYW6IqyasVE95v02OTDdRE4bBiBw4YBcLLCPrvdzulPPyXi3nsJuvhiAOJefIH9g4eQ99tvmC67jOKDBylYsYJWCxdi7K7MKhgzdSrH776HqCeeQBcd1ZBvRwhRA6New439Wni7Gw1KYpwQolopwKAqygeV7asDl26/pkyfQWlqau0VgdwlS8j58ce69aac0hMnsGZkEjDo3NhgTVAQxh49lNFogHnLFtTBwY5gBxAwcCCo1Zi3ba227eLiYnJzcx2vvLy88+6vEMLZ0l1plFptjt9renmTN+Ib1F+Mk/gmRBPRDuWWa0Vfc27ghJtculKnCQvl0D8vx9i7F0EjRuDXrRvaqChUej223FyKDx6kcONGcpf8jDYqkthnn6290VpYMjKVc4eHO5VrIiKwZGY46mjDwpz2q7RaNCYT1szMattOTk5m5syZ591HIUT17l6wgfVPjyQi0MDdCzZUW08FHEq+rOE6VoE34hvUX4yT+CZEEzETuB5lcuTBZWWrUOa+qyrZc4FLSV3Uww8TNn482d9+y5kvvqT44EGn/eqAAAIGDiT22ZnKAtiN3JQpU5g06dzM8CdPnqy0npwQ4vwcLpeoHfZi0lYbiW9CCK+4GmXVileA78vKOpeV9apbky4/U6eNiCDi3nuJuPderDk5lKakYC8qQhMaiq5FC1Sq85xcpeL5IiMAsGZloYs699yINTMTQ+fOjjqW06edjrNbLFhzctBERFTbtsFgcFovLjc315NdF0JU8N+NJ/hnUiwGrfOgiBKLjR+3nuLqPgnVHNkwGjq+Qf3FOIlvQjQBpShLhD0DfOa5Zt2a0uQsjcmEX6dOGHv2RN+yZb0EPF1CAprICApWr3GUWfPzMW/bhrFnEgDGnj2x5eZi3rHTUadgzVqw2TD2SPJ4n4QQdfP4t1vJK6q8cnVBsYXHv63++VdvaIj4BhLjhGjWdMB/Pd+sV0e/2goKKDl2zLFdcuIERbt3ozGZ0MXFEXbrrWTOm4e+VUt08QlkvP462qgogkYqK90a2rYlYOhQUqY9Q+yMGdgtFtJmzSL40ktlVJgQLvh09RHeXX6IjPxiOscGM3NsV3omhlRZ9/p3V7P28OlK5SM6RvLR7f1qPI+dqidKT8kpIshP537HmwiJcUKIao1Due1ah6lLquPVpM68YyfHJkxwbKe/8CIApnHjiHshmfA778RuNpMybTq23FyMfXqT+P57jvmbAOJfmkPqrNkcu+12UKsJGj2amKefavD3IkRT8+PWU8xevJvZV3ajV2IIH646zK3z1/LHY8OJCDRUqv/uLX0oKRvNCpBdWMo/5q7g0u6x1Z7j0rkrUKmUhG78B2vRqM+ldlabnRNnzFzYIdKj76sxkRgnhKhWe5Rlx1YBfVCWIiuv8tSWtfJqUhfQvx+d9+yudr9KpSLyoYeIfKj6d6YJCZFJOIWogw9WHuaGfolcd0EiAM+N684fe9L5ZsNx7hverlL9EH/ntVt/3JqCUafhsh7VJ3Wju0YDsCsll2EdIvHXn3umTqdRkxBq5B/dqj++qZMYJ4So1nwgBNhY9ipPRdNL6oQQnpWXl+f0YHzFh+bPKrHY2HEyh/uGt3WUqdUqBreLYNPRbJfO9c3641yeFIu/vvow8sjIDgAkhPpzeRUDJYQQotk67Pkm3RooYd6yhfRXXyNtzkvkr1jh+d4IIc5Lly5dMJlMjldycnKV9c4UlmC12SvdZo0MNJCRX1zrebYcz2ZvWh7X93VthYj2UYHsOlV5FObmY2fYdiLbpTbqm8Q3IYTX2Mte58nlpC73l//jyE3jOb1gAdnffsvxe+4la/6H598DIYTH7Nq1i5ycHMdrypQp9XKer9cfp1NMULWDKiqa9sMOUnKKKpWn5RbxzA87qziiYUl8E0J4xXygG+BX9uoGfFD35lxO6rLee4+Qa6+l4/p1dFy3lsiHHybzvffqfmYhhMcFBQURHBzseFV16xUg1F+PRq0is8JVuYz8YiKrGCRRXmGJhcVbTzmexXPF/vR8usWZKpV3jTNxIM37y1hJfBNCNLhpwMPA5cDCstflKKNhp9WtSZeTuuIjRwi/43ZUGuWZmPDbb8NWUIAlK6tuZxZCeI1eq6ZbvIm/D5xbaspms/P3gSx6twyp8diftqVQbLVxZa94t85X1W3d9LwipxGx3iLxTQjR4N4B3geSgbFlr2TgPeDtujXpclJnN5tRBwY6tlV6PWq9HlthYd3OLITwqjuHtObL9cf5duMJDqTn8fT3OygssXBtH+UK3KSvt/DiL3sqHffNhuOM7hJNaIC+0r7qDG0fyZxf9pBbVOooyzGXMueXvQxt7/0pTSS+CSEaXClwQRXlfYDKc7W7xK3Rr9kLv0Xt7+/Ytlut5Hz3HZqQUEdZ2K231K0nQogGdXlSHKcLSnh16T4y8orpHBfMJ3f0IzJIuf16MttcaTWFgxn5rD9yhgX/qnmy4YqevrQz1727msEv/EHXuGAAdp3KJSLIwKvX9/TI+zlfEt+EEA3qFpSrda9UKH8PGF+3Jl1O6nSxsWQvXOh8cEQEOT/871yBSiVBT4gmZMKgVkwY1KrKfV/fM7BSWdvIQI68cJnb54kx+fHLI0P5fvMpdqfk4qdTc22fRMb2jEOnqdNqhR4l8U0I4RXzgV+BAWXba4FjwK3ApHL1KiZ+1XA5qWv3x++uVhVCiEr89Vpu6u/aFCgNTeKbEKLB7QB6l/1+sOxnRNlrR7l6bjx2LJMPCyEazP60PE5mmym1Ok/INKpLtJd6JIQQXvKn55t0OanL/v57l+qFjBtXx64IIXzVsaxC7l6wgb1peag4N8fm2S+gh5Ldv6XrSRLfhBC+wOWkLmXKU8pDxFot2KuZ9lilkqAnhKhk5o87SQzz54u7BjD0xT/44YHBnCksZfZPu3n60s7e7p7ENyGET3A5qdO3bYM1M4vgsZcTcvXV+HXsWJ/9EkL4kE3HzvDFXQMIC9CjVqlQqVT0bRXG5DEdmfG/nSx5eKhX+yfxTQjhC1wedtZ28WIS352HvaiYozffwuGrr+HMl19izc+vz/4JIXyA1WYn0KB8hwwN0JOWqywZFh9q5FCm92OIxDchhC9way4BY1ISsc/OpP2Kvwi95WZyf/6F/UOHcfKxx7GVlNRXH4UQTVzHmCB2peQC0DMxhHeXH2LDkdPM/X0/LcL8azm6YUh8E0I0dXUa/ar28yNk3Dj08fFkvPEmuUuWEPPMVNC7PsO8EDazucpyldFYadJb0bQ9cFF7zCXKFOmTRnXgjk/Wc+27qwn11/Pmjb283DtnEt+EJ0h8Ey7ZjzIKNh2wVdhXh/Vf3U7qStPSyPnue7K/W4S90Ezw2MuJmTEdjanyYt1C1GT/4CFVlht796bl559J4PMhF3Y4txRYq4gA/nh0ONmFJZiMukb131nim/AUiW+iVu8D/0aZly4G5/noVNRvUpf7889kL/qOwvXrCRgymOjJkwm88ELHAthCuEJlNGLs3Rvzpk3V1jFv2oTdbEbl3zhuy4nzU2q10emZX1jy0FA6xgQ5ykP8G8+VL4lvwhMkvgm3zAaeAyZ7rkmXk7qTkx5FFxtL2IQJaMPDKT1xkjOff1GpniyjI2qiUqlo+fln2Ku4NWEzm6v9dgtgt9urPM7RttzWaJR0GjVxIX5YbdVMFdIISHwTniDxTbjlDHCtZ5t0a+1XVCpyFy+uvpKsjShcoFKp3P6WarfbOXrTeMybN1dbR25rNF4PjGjHS/+3h1ev79mortCdJfFNeIrEN+Gya1HWfb3Xc03K2q+iSbCbzTUGPJDbGo3ZJ38f5WhWAf2e/52EECNGvfNtzZ8e8u48dRLfhDdJfKsHfwEvARuBFOA7YFy5/XZgOspzbdnAYOAdoH25OqeBB4EfUeYKuRqYCwSWq7MNuB9YD0SW1X/CxT62A54B1gDdAV2F/Q+52E45Hlv7tTQ1lcy33iZ21rOealKIKrVftRK10ejYru22hvC+0V2b9tquEt9EQ5H45iEFQBJwB3BVFfvnAK8DnwCtUZKrMcAuwK+szniUhHApUArcDtwNnH0yIxcYDYwE5gHby84XUlavNu+hJIjLy17lqfBuUmfNzib7v/+VoCfqndpoVJZ0Eo3aR6sOc2O/FvjpNFx7QSKxwX6o1U3z1pHEN9FQJL55yD/KXlWxA68BU4Eryso+BaKB74EbgN3ALyhX4C4oq/MGcCnwHyAO+BwoAT4E9EBXYAvwCq4ldYddfjcuc2vyYSGEcNXsn3aTX6zMTTf0xT84XSgT+Aohzk9eXh65ubmOV3FxsfuNHAZSUa6wnWUC+gOry7ZXo1xxu6BcnZEoWdPacnWGoSR0Z40B9qIMgnBVSdkxFjeOqYYkdUKIehEdZODnHamcOFOIHUjNKeJktrnKlxBCuKJLly6YTCbHKzk52f1GUst+VnwqJLrcvlQgqsJ+LRBWoU5VbZQ/R00KgX8B/ihX+Y6VlT8IvODC8VXw2O3X+pDxxptkvvWWU5m+dWva/rwEAFtxMekvvkjuT0uwlZYSOHgwMdOnoY2I8EZ3hRDlPHBRe2b8byfTf7ChAsa+ubJSHTvKoyOHki9r6O41ChLjhHDPrl27iI+Pd2wbDAYv9uY8TQG2AsuAS8qVjwRmAE+636TLSd2JBx+scb81N8/9s7vA0L4dLT788FyB9lyX05KTyV/+F/FzX0MdGETarFmcePAhWn1ZeX4pIUTDuql/C8b2jOPkGTOXzP2Lz//Vv1FOZwLei28gMU4IdwQFBREcHHx+jcSU/UwDYsuVpwE9y9VJr3CcBWVEbEy5OmkV6qSV21eb74GvgQE4rybRFTjowvFVcDmpUwcG1brfdMUVNdapE40WbWRkpWJrXh7Z/11E/EsvETBgAACxyc9z6NLLMG/ZgrFnT8/3RQjhlkCDlo4xQbx0TRJ9WoVi0DbOFRq8Ft9AYpwQDa01StL1O+eSuFyUZ+X+XbY9EGWqk41An7KyP1DWZ+1frs7TKCNjz05HshToCIS60I8MKt/iBWXkbh3HlLmc1MUlP1+3M5ynkqNH2T90GCqDAWPPnkRNmoguLo6inTuhtJSAQQMddQ1t2qCNi6WwloBXXFzs9HBlXl79fQsXQsA1fRK83YUaeSu+gedjnMQ3IYB84EC57cMoI1PDgBbAIyjLdLXn3JQmcZyby64zyi3Ru1CmKykFHkAZGRtXVucmYCbKc3GTgR0o89i96mIfLwB+QnmGDs4lch+gJIx10KifqTMm9SAu+Xn0rVtjSc8g8623OHLzzbT5349YMjJR6XRoKlyG1YZHYM3MrLHd5ORkZs6cWZ9dF6JJ+HT1Ed5dfoiM/GI6xwYzc2xXeiaGVFs/x1zKf/5vL7/sTCWnsJT4UCPT/tmFEZ2q+ropalMfMU7imxDABmBEue1JZT8nAB+jTBBcgDL1SDYwBGUKE79yx3yOkshdzLnJh18vt9+EsiLE/ShX8yKAabg2nQnA8yjTruxCubU7t+z3v6k8b52LGnVSFzhs2LmNjh0xJvXgwEUXk/fLz6gMftUfWIspU6YwadIkx/bJkyfp0qXL+XRViCbnx62nmL14N7Ov7EavxBA+XHWYW+ev5Y/HhhMRWPnh4xKLjVvmryU8QM8743sTHezHyWwzwX4Vp0EXrqqPGCfxTQhgOMpIrOqogGfLXtUJ49xEw9XpAaxwq2fnDEG5evgCyooSvwK9UaZK6V63Jht1UleRJjgYfatWlBw9RsDgQdhLS7Hm5jp9k7VkZaKpZWSYwWBwGjGTm5tbb30WorH6YOVhbuiXyHUXJALw3Lju/LEnnW82HOe+4e0q1f9mw3GyC0v5778HodMosyElhskkqZ7kiRgn8U2IJqQtylJlHtKk5qmzFRRQcvw42shI/Lp2BZ2OgtVrHPuLDx3GcioFf3mAWIgalVhs7DiZw+B255IDtVrF4HYRbDqaXeUxv+1Oo3eLEKb9sIMLZi9l9KvLeevPA1htNX0dVsz9bT/mEmul8qJSK3N/21/n9+FrJMYJ0YzkVvPKQ5mQuA4a9ZW6tBfnEDhiOLq4eCzp6WS++QYqtZrgf16GJiiIkKuvIu3FF9CYTKgDA0mbPRtjz54yKkw0W2dnWz+r4lWbs84UlmC12SvdZo0MNHAwo6DKto+dLuTvM2bG9Yzjo9v6cSSrgGd+2EGp1cYjIzvU2K+5v+9j/IAWGPXOo1/NJVbm/r6Ph0e2r+ZI3yYxTohmLISaR7kmALcB03H5ElyjTuosaamcevQxrNnZaMLC8O/Tm1Zff4U2LAyA6ClTUKnVnHj4YewlJQQOGUzMtGle7rUQ3lPx2anp06czY8YMj7Rtt0NEgJ7kq3qgUavonmAiLbeId/86VGtSd3aS4Yp2p+Q22rnrGoLEOCGasY9RpkS5DehXVrYO+ARlXdoMlHVmDcBTrjXZqJO6+FdeqXG/2mAgZto0CXKiybGZq14aS2U0olLVfdF7V2dbD/XXo1GryMx3XjcxI7+YyCoGSQBEBhnQaVRo1Of61zYqkIy8YkosNvTayl8le8z4P1QqFSpgxH+WOb03m81OQYmF8f1buvMWfYrEOOGr6ivG+ZRPgJeB68qVXY4ySOJdlHn0WgDP4RtJnRC+av/gIVWWG3v3puXnn9U56Lk627peq6ZbvIm/D2Qypqsy9bnNZufvA1ncOqjqJOuClqH8sOUUNpsddVlidzijgKggQ5UJHcC0y7tit9t54r/bmDiqA0HlRsrqNCoSQv3p09KVWTqFEE1JfcU4n/I3yhx4FfVCGQELygjZY1XUqYYkdU2UfAtqelRGI8bevTFv2lRtHfOmTdjNZlT+9T+q9M4hrXl04Va6J4TQM9HE/JVHKCyxcG0fZTTspK+3EG3yY/IlnQC4eUBLPl19lJk/7mTCoFYcySrg7WUHuG1Qq2rPcXbS4cQwJXk7O2pWiJpIfGuaGluMa/QSgfkoU5qUN79sH0AWrq1OUUaSuiZKvgU1PSqVipaff4a9iv9h2czmav+b1pfLk+I4XVDCq0v3kZFXTOe4YD65ox+RQcrt15PZZqd/R3EhRj65ox+zFu/ikrkriAn24/bBrbn3wrZVtp9XVOq4Mtc1LpiiUitFpZVHwAJOV/CEkPjWNDW2GNfo/Qe4FvgZ6FtWtgHYA3xbtr0euN71JiWpa0LkW1DTp1KpGtV/mwmDWjGhmittX99TeZ2aPi1D+f7+wS61nTTzV9Y9PZKIQAM9Zv5a5UCJswMoDiVf5nKfhW+S+OYbGluMa9TGoiRw7wL7ysr+AXwPtCrb/nelo2okSV0TIt+CRFPyxV0DCDEqV+C+vGuAl3sjGjuJb6JZak3l26/nQZK6Jka+BYmmYkCb8Cp/F6I6Et9Es5ON8gzd7rLtrsAdKOvK1oEkdUKIerE7xfXlqTrH1j5iVwghfMoGYAxg5Nw8da+gTGFydh1YN0lSJ3yKjJprPC59fQUqal5TG+SZOiFcJfHNx0xEea7ufc5lYxbgTuAR4C/3m5SkTvgUGTXXeKx4YoS3uyCET5H45mM24JzQUfb7E8AFdWtSkjoX2O32ah/eFd4no+Yap4RQ+aybAolvjZvENx8WjDKxcKcK5ceBoLo1KUldLex2O0dvGo958+Y6tyGXzN1X8TOr6X8w9T1qTv77ecbBjHw++fsIB9LzAWgXFciEQa1oGxno5Z41XxLfvEPimwCU+ef+hTJf3aCyslXA48CNdWtSkrpa2M3mWgOesXdvVEZjtfur+6MzdO5Mq88WQPn1MOXbMVD9Z1ad+hw1J7c8zt/P21N48MvNdE8w0buFMj365mNnGPPqX7xxYy/+0T3Wyz1sniS+eYfENwEoyZwKuBXlWToAHcrcdHWc5kSSOje0X7USdRXBrapvNK5cMi/evZu9fep449wHufKZ1fY/mIbsi9zycF3yz3u4b3hbJo3u6FT+ytJ9JP+8R5K6RkDiW/2S+CacWIE1wAwgGThYVt4WOI+PXJI6N6iNRtQu/gOv6ZI5djtHbr6F4t27K+8r01B/3OfD08/i1PiZna3TQLcEZCJUz0rPK+Kq3gmVyq/sFc97fx2s4gjR0CS+OZP4JuqVBhiNMj9da6C7Z5qVpK4e1XTJvPWi/zaKP+668sSzOFVpTJOPeqsvNT5f08j/XVRnQJtw1h05TauIAKfy9UdO07dVmJd6Jc6HxDf3SXxT+GKMq5NuwCGUpM5DJKmrhcpopOOmjY7fPdZuI/rjrgtPPIsjqlbTt+SOmzY2yX83IztH8+LPe9hxModeLUIA2HwsmyXbU3hkZAeW7kpz1B3VJdpLvWx+JL5VTeJb/fLFGFcns4HHgFlAHyCgwv46zMkuSV0tmnpwagjuPIsjqubKMy5N2TM/7ABgwZqjLFhztMp9IBMRNzSJb7WT+OYZvh7j6uTSsp9jUYLfWfaybav7TUpS54Maeoi6O8/ieJM70wg0NFeetwHPXk1pSIclURMeIvGtao05voHvx7g6+dPzTUpS54PqY4h6Yw8YrmjsD//KVRMhaifxrWqNPb6BxLhKLvR8k5LU+Yj6HqLeFAJGVRrTNALN0cajZ8guLOHizueek/vvxhO8+ts+zCVWRneNZsbYrhi0Gi/2UjR2Et+qJvGtCdrmRt0e7jcvSZ2PqI8h6r4QMBrTNALN0eu/72dAm3BHUrcnNZfJ/93GNX0SaBcVyLt/HSIqyI+Jozp4uaeiMZP4VjWJb01QT5Tn5c4+N1cTeaaueXPl0ranlqdx1GkCAaM+L/n7wm2b+rQrJZdHR59L2H7ceoqeiSG8cLXyFTTWZOTV3/ZJUidqJfGtahLfmpjD5X7fjDL69XFgYFnZauBlYE7dmpekrplpTMvT+IKmetumoeSYS4kINDi21x46zfCOkY7tHgkmUrLlfxTCMyS+eZbEt3rQstzv1wKvc24ULCi3XBOBZ4Bx7jevrnvPRFNx9jZDTRr7bYbGRD5P10UGGjh+uhCAEouNHady6FW29itAQYkFrUbCkKg7+Xv0LPk8G9B2qp54uDWwq25NypW6ZsBXbjM0FvJ5um54x0he/GUPT/6jM7/uTMWo0zitILEnJY+W4XKlRNSd/D16lnyeDagzyrqvHwD6srKSsrLOdWvSZ5K6059/zun5H2LJzMTQqRMxU5/G2KMOQ0d8lNxm8Cz5PF3z6OiO3LtgI9e/t5oAvZb/XJuEXnvuytw3G44ztH2EF3vYdEiMq578PXqWfJ4NZB5wOZDAuZGu21AGUPxYtyZ9IqnLXbKE9BdeJGbGDIxJPTj9yaccu/Mu2v68BG14uLe7J0Sj9enqI7y7/BAZ+cV0jg1m5tiu9EwMqbLuwg3Hefxb5/H4eq2afbP/UW37YQF6vrl3ILlFpQTotWjUzt/u3x7fG3+9T4SheiUxTog6eAt4CUgFkoA3gH5e7ZGzfihrv34O7Ckrux64icpLhrnIJ6Jp1sefEHLttYRcfRUAMTNnkL98Odn/XUTE3Xd5uXdCNE4/bj3F7MW7mX1lN3olhvDhqsPcOn8tfzw23GlwQ3lBBi2/P3ZuxkxVrWPyFcF+uirLQ/z1VZYLZxLjhHDT18AklKth/YHXgDHAXiDKe91yUoCSvN3tuSabfFJnLymhaOdOp8CmUqsJGDgQ85YtVR5TXFxMcXGxYzsvL6++uylEo/PBysPc0C+R6y5IBOC5cd35Y08632w4zn3D21V9kAqigvwasJfC3RjnVnyzA4Ue7KwQ58uf2udvc8UrwF3A7WXb84CfgA+BJz3QvidEA9cBdwAeGmjc5JM6y5lssFrRVLgFoYkIp/jw4SqPSU5OZubMmZXKU1JS6qOLQtS7s/92c3JyCA4OdpQbDAYMhspX3UosNnaczOG+4W0dZWq1isHtIth0NLva8xSWWBn8wh/Y7Ha6xpl44pKOdIgO8twbEZW4G+Pcim+FENwxuHK5EF6SuzdXSewqcCvGlQAbgSnlytTASJR54BqLz4CPgYuAVijJ3a1AXN2bbPJJXV1MmTKFSZMmObY3btzIRRddRL9+jelmuxDu69atm9P29OnTmTFjRqV6ZwpLsNrslW6zRgYaOJhRUGXbbSIDmXN1DzrFBpFXZOH9vw5x9dt/8+ukYcSaZHqDxkLim2jSOta826UYl4myGkO0czHRnHt2rTEYV/bKABagJHjPoNwmvgMYi9tZWpNP6rShIaDRYM3Kciq3Zmahjah6VF3FzH7o0KH88ccfXHTRRezatYugILnycFZeXh5dunSRz6WCxva52Gw2jh07RpcuXdBqz/1ZV3WVrq76tAylT8tQp+2Rryzni7XHeHR0LZFY1Jm7MU7im+sa299xY9EYP5eGiHFeE4ny/N8klMEcjwNLgAjgXpTbxS4ORm7ySZ1Kr8eva1cKVq8haORIAOw2GwVr1hA6frxLbWi1Wvr06QNAfHy806Xd5i43NxeQz6Wixvi5tGjRwuW6of56NGoVmfnFTuUZ+cVEVjNIoiKdRk3XuGCOZMlDWfXpfGOcxLfqNca/48agsX4uLse4CEADpFUoTwNiPNsnj0gDPkG5UncUuAb4F3ACeBFYA/zqWlM+MZV7+G0TyF64kOzvvqf44EFSZ8zEZjYTctWV3u6aEI2SXqumW7yJvw9kOspsNjt/H8iid8sQl9qw2uzsSc0jKsgHvik3chLjhHCDHugD/F6uzFa2PbDKI7xjEco8dYnAF8B9wEmUZ+1GALcAPwDLXG+yyV+pAwi+9FIsp8+Q8cbrWDMyMXTuTIv336v29qsQAu4c0ppHF26le0IIPRNNzF95hMISC9f2UUbDTvp6C9EmPyZf0gmAub/tp1eLEFqFB5BbVMq7fx3i5BkzN/RN9ObbaBYkxgnhpknABOAClPngXkOZQuT2Go5paLcDNwCrgL7V1IkDnna9SZ9I6gDCbh5P2M2u3W6tisFgYPr06b5xf96D5HOpmi98LpcnxXG6oIRXl+4jI6+YznHBfHJHPyLLrrydzDY7LQWUYy5lyqLtZOQVE2zU0T0+mP/+exDtZfRrgzifGOcL/17rg3wuVfOJz+V6lAEI01AmH+4J/ELlwRPelELtz8oZgemuN6my2+328+iSEEIIIYRwVa6L9erwOKMkdUIIIYQQDUVNzRMs28v2W91v2mduvwohhBBCNHp/lvvdDlwKfADEn3/TcqVOCCGEEMJbgoCtQJvzb8onpjQRQgghhGjuJKkD3nrrLVq1aoWfnx/9+/dn3bp13u5Sg/vrr7+4/PLLiYuLQ6VS8f333zvtt9vtTJs2jdjYWIxGIyNHjmT//v3e6WwDSU5Opm/fvgQFBREVFcW4cePYu3evU52ioiLuv/9+wsPDCQwM5OqrryYtreKMl0J4V3OPcRLfqiYxzvc0+6Tu66+/ZtKkSUyfPp1NmzaRlJTEmDFjSE9P93bXGlRBQQFJSUm89dZbVe6fM2cOr7/+OvPmzWPt2rUEBAQwZswYioqKGrinDWf58uXcf//9rFmzhqVLl1JaWsro0aMpKDi3NurEiRP58ccfWbhwIcuXL+fUqVNcddVVXuy1EM4kxkl8q47EuEakpoET7rA3c/369bPff//9jm2r1WqPi4uzJycne7FX3gXYv/vuO8e2zWazx8TE2F966SVHWXZ2tt1gMNi//PJLL/TQO9LT0+2Affny5Xa7XfkMdDqdfeHChY46u3fvtgP21atXe6ubQjiRGOdM4lv1JMY1kCsrvLR2u310FeV10Kyv1JWUlLBx40ZGlq2nCKBWqxk5ciSrV6/2Ys8al8OHD5Oamur0OZlMJvr379+sPqecnBwAwsLCANi4cSOlpaVOn0unTp1o0aJFs/pcROMlMa52Et/OkRjXQEwVXjejrBxRsbwOmvWUJpmZmVitVqKjnaeYjo6OZs+ePV7qVeOTmpoKUOXndHafr7PZbDzyyCMMHjyYbt26AcrnotfrCQkJcarbnD4X0bhJjKudxDeFxLgG9FH9Nd2skzohXHX//fezY8cOVq5c6e2uCCGEx0mM8w3N+vZrREQEGo2m0kietLQ0YmJivNSrxufsZ9FcP6cHHniAxYsX8+eff5KQkOAoj4mJoaSkhOzsbKf6zeVzEY2fxLjaNff4BhLjfEmzTur0ej19+vTh999/d5TZbDZ+//13Bg4c6MWeNS6tW7cmJibG6XPKzc1l7dq1Pv052e12HnjgAb777jv++OMPWrdu7bS/T58+6HQ6p89l7969HDt2zKc/F9F0SIyrXXONbyAxzhc1+9uvkyZNYsKECVxwwQX069eP1157jYKCAm6//XZvd61B5efnc+DAAcf24cOH2bJlC2FhYbRo0YJHHnmE2bNn0759e1q3bs0zzzxDXFwc48aN816n69n999/PF198wQ8//EBQUJDjGRKTyYTRaMRkMvGvf/2LSZMmERYWRnBwMA8++CADBw5kwIABXu69EAqJcRLfqiMxzgd5YHBuk/fGG2/YW7RoYdfr9fZ+/frZ16xZ4+0uNbg///zTjrIKndNrwoQJdrtdGfb/zDPP2KOjo+0Gg8F+8cUX2/fu3evdTtezqj4PwP7RRx856pjNZvt9991nDw0Ntfv7+9uvvPJKe0pKivc6LUQVmnuMk/hWNYlxvkfWfhVCCCGE8AHN+pk6IYQQQghfIUmdEEIIIYQPkKROCCGEEMIHSFInhBBCCOEDJKkTQgghhPABktQJIYQQQvgASeqEEEIIIXyAJHVCCCGEED5AkjoBwLJly1CpVJUWbm4ov//+O507d8ZqtQIwY8YMevbs6XY7JSUltGrVig0bNni4h0KIpkrim2guJKlrhoYPH84jjzziVDZo0CBSUlIwmUxe6dMTTzzB1KlT0Wg059WOXq/nscceY/LkyR7qmRCiKZH4JpozSeoEoASLmJgYVCpVg5975cqVHDx4kKuvvvq82ikpKQFg/PjxrFy5kp07d3qie0KIJk7im2guJKlrZm677TaWL1/O3LlzUalUqFQqjhw5Uun2xMcff0xISAiLFy+mY8eO+Pv7c80111BYWMgnn3xCq1atCA0N5aGHHnLcUgAoLi7mscceIz4+noCAAPr378+yZctq7NNXX33FqFGj8PPzq7RvwYIFtGrVCpPJxA033EBeXp5j3/Dhw3nggQd45JFHiIiIYMyYMQCEhoYyePBgvvrqq/P/wIQQTYbEN9HcSVLXzMydO5eBAwdy1113kZKSQkpKComJiVXWLSws5PXXX+err77il19+YdmyZVx55ZUsWbKEJUuWsGDBAt59912+/fZbxzEPPPAAq1ev5quvvmLbtm1ce+21XHLJJezfv7/aPq1YsYILLrigUvnBgwf5/vvvWbx4MYsXL2b58uW88MILTnU++eQT9Ho9q1atYt68eY7yfv36sWLFCnc/HiFEEybxTTR3Wm93QDQsk8mEXq/H39+fmJiYGuuWlpbyzjvv0LZtWwCuueYaFixYQFpaGoGBgXTp0oURI0bw559/cv3113Ps2DE++ugjjh07RlxcHACPPfYYv/zyCx999BHPP/98lec5evSoo355NpuNjz/+mKCgIABuueUWfv/9d5577jlHnfbt2zNnzpxKx8bFxXH06FHXPhQhhE+Q+CaaO0nqRLX8/f0dAQ8gOjqaVq1aERgY6FSWnp4OwPbt27FarXTo0MGpneLiYsLDw6s9j9lsrvLWRKtWrRwBDyA2NtZxrrP69OlTZZtGo5HCwsIa3p0QojmT+CZ8kSR1olo6nc5pW6VSVVlms9kAyM/PR6PRsHHjxkqjvMoHyooiIiI4c+aMS+c/e66zAgICqmzz9OnTREZGVntOIUTzJvFN+CJJ6pohvV7v9PCvp/Tq1Qur1Up6ejpDhw5167hdu3Z5tC87duygV69eHm1TCNH4SXwTzZkMlGiGWrVqxdq1azly5AiZmZmVvh3WVYcOHRg/fjy33norixYt4vDhw6xbt47k5GR++umnao8bM2YMK1eu9EgfzlqxYgWjR4/2aJtCiMZP4ptoziSpa4Yee+wxNBoNXbp0ITIykmPHjnms7Y8++ohbb72VRx99lI4dOzJu3DjWr19PixYtqj1m/Pjx7Ny5k71793qkD6tXryYnJ4drrrnGI+0JIZoOiW+iOVPZ7Xa7tzshxOOPP05ubi7vvvvuebd1/fXXk5SUxFNPPeWBngkhxPmR+CYailypE43C008/TcuWLc/7VklJSQndu3dn4sSJHuqZEEKcH4lvoqHIlTohhBBCCB8gV+qEEEIIIXyAJHVCCCGEED5AkjohhBBCCB8gSZ0QQgghhA+QpE4IIYQQwgdIUieEEEII4QMkqRNCCCGE8AGS1AkhhBBC+ACttzsghBBVsdltbEjdwMb0jaTkp1BkKSLUL5ROYZ0YGDeQmIAYb3dRCCEaFVlRQgjRqBRZivhk5yd8s/cbckpy6BjWkShjFAatgZziHA5kHyCjMIOBcQO5N+lekiKTvN1lIYRoFCSpE0I0KiMXjiQpMokr2l3BwLiB6NS6SnVO5Z9iyeElLNy7kLt63MU1Ha7xQk+FEM3RUXMxa3MKOFFUgtlqI1ynpVuQkQuCA/DTePepNknqhBCNyqHsQ7QJaeNS3VJbKan5qSQGJ9Zzr4QQzd1/U0/z/olMtuYVEqnXEqPX4adRc6bUwlFzCQa1iquiQ3mgZTSJfnqv9FGSOiFEo2SxWXh/+/tc2e5KeX5OCOFVI9fvRadScV1sGKPDg4mvkLQV22xsyCngh/RsFmdk80KHRMZGhTR4PyWpE0I0Wv0/78+iKxYRHxjv7a4IIZqxP7NyGREe7FLd06UWjheVkBTkX8+9qkymNBFCNFr9YvuxIXWDt7shhGjmziZ0Fpudb1JPk1FSWm3dMJ3WKwkdyJQmQohGbGj8UF7b9Br7z+ynS3gXjFqj0/4RLUZ4qWdCiOZIq1Yxee9x/urf2dtdqZLcfhVC8MH2D5i7aS43d76Zyf0mA1BsLeal9S/xy5FfKLGWMDhuME8PeJoIY4TjuJT8FGatmcX61PX46/wZ23YsD/d+GK363PfF9anreWn9SxzIPkBMQAx397ibce3GudSvHp/0qHafSqVi661b6/aGhRA+bXV2Pm8fS2dbXiFpJRY+6taKf0SGOPbb7XbmHE7l85Qsci1W+poCeLFDIm38DbW2feXm/dyTEMUlkaZ6fAd1I1fqhGjmdmTu4Nt939IhtINT+Zx1c/jr5F+8fOHLBOoDeX7t80z8cyILLl0AgNVm5b7f7yPCGMGCSxeQUZjB0yufRqvW8nDvhwE4kXeC+3+/n2s7XMsLQ19gTcoaZvw9g0hjJIPjB9fat20Ttnn+DQshfF6h1UbXQCM3xoZxx44jlfa/eSyd+SczeL1TS1oY9bx4OIUbth7kr36dap2W5Lb4CKYfOMnJYuW5Of8K9bsEGqs5sv5JUidEM1ZYWsiTK55k+sDpvLftPUd5Xkkeiw4s4sWhL9I/tj8AswbP4orvr2BrxlaSIpP4+9TfHMo5xPuj3yfCGEGnsE480OsBXt34Kvcl3YdOo+Obfd8QHxjP430fB6BNSBs2p29mwa4FLiV1QghRFxeHB3NxNQMb7HY775/I4JGWMY6rbW90bkn3VTv4JTOHcdGhNbZ9786jAEzdf9JRpgLsZT9PjejpgXdQN5LUARaLhc2bNxMdHY1aLWNHRNNjs9k4duwYXbp0Qas992dtMBgwGKq/nfDc2ucYGj+UgXEDnZK6XVm7sNgsDIgb4ChrY2pDbEAsW9OVpG5rxlbah7R3uh07KG4Qs9bM4kD2ATqHd2Zr+lYGxA5wOueguEHMWT/H5fe2JmUNa1PWcrroNDa7zWnfrMGzXG6nuZL4JnxBXWNcVY4VlZBeYmFYaKCjLFiroVeQPxtyC2pN6tYN7OJe5xuQJHXA5s2b6devn7e7IYTHTZ8+nRkzZlS57+fDP7Mraxdf/fOrSvsyzZno1DqC9c7fdMP9wsksynTUCTeGO+8v2840K3WyirKqrJNfmk+RpQg/rV+N/X9nyzvM2zaPruFdiTBGoEJVY31RmcQ34ctqinHVSS+xABCpd16tJlKvc+yribcmFnaFJHVAdHQ0AOvWrSM2NtbLvRHCfSkpKfTr148dO3aQmHhudYXqvsGmFqTywroXeG/Uexg07n3LbUjf7PuG2YNnc3nby73dlSZL4pvwBe7GuPp2qLCYVdl5ZJZYsFUYbvpoa+9Nli5JHThuScTGxpKQkODl3ghRdyaTieDg2ifI3Jm1k9NFp7l+8fWOMqvdysa0jXy550vmjZpHqa2U3JJcp6t1WUVZRPgpt1sjjBHsyNzh1G6WOcuxD5Qre2fLytcJ1AXWepUOlGXAekb2rLWeqJ7EN+FLXI1xNYnSK6lPRkkp0YZzV+sySkrpFlT7IIfPTmUxed9xwnRaovRapzsIKiSpE0I0sAGxA1g0dpFT2TOrnqG1qTV3dLuDmIAYtGota1PWMqrlKAAO5xwmpSCFpKgkAJIik3h/+/tkmc/dYl2dsppAXSBtQ9oqdaKSWHFihdN5VqesJikyyaV+XtX+Kn46/BP3Jt17Xu9XCCHOauGnJ0qvZcWZfLqVTRKcZ7GyOa+Q2+IjajkaXj2SypOtY3mwZXR9d9VtktQJ0QwF6AJoH9reqcyoNRJiCHGUX9XuKl5a/xImvYkAfQDJa5NJikxyJGSD4gbRxtSGp1Y+xaQ+k8g0Z/Lm5je5odMN6DXKMyfXdbiOr/Z8xSsbXmFc+3GsS1nHr0d+5a2L36q2b+UHUdjtdj7d9ylrUtbQIbSD0/x3AE/0fcIjn4cQwrcUWKwcNhc7to8VlbAjr5AQnZYEPz13JUTy2tE02vgbaOGnTGkSrddxSUTtc8/lWKxeWdfVFZLUCSGq9ES/J1CtVzFx2URKbaUMihvE1AFTHfs1ag1vXfwWs9bM4uYlN2PUGhnbdiz397zfUSchKIG3Ln6LOevn8Nnuz4j2j2bGoBk1Tmey5/Qep+1OYZ0AOJB9wKlcBk0IIaqzJa+Qq7ccdGxPP3AKgOtiQnm9c0seaBFFodXGY3uPk2ux0s8UwJdJbWqdow7g8qgQlp3OY0J843seWVaUAE6cOEFiYiLHjx93+5kTu92O3Wyudr/KaESlkv/5iPp1Pv+GhW+T+CZ8gbdj3AcnMhy/F1ptzDuezsjwYDoHGNGpnf8G7kyIbOjuOciVuvNgt9s5etN4zJs3V1vH2Ls3LT//TAKfEG4Y9e0oRiSOYHjicPrF9Kt021XUP4lvQpzz7vEMp+0AjYbV2QWszi5wKlchSV2TZTebawx4AOZNm7Cbzaj8/RuoV0I0fc8PeZ5lx5fx3JrnOFN0hkHxgxieOJxhCcMqzZ0n6ofENyHOWd+IJxwuT5I6D2m/aiVq47mh0Dazmf2Dh3ixR0I0XX1j+tI3pi+P932cA2cOsOzEMr7c/SXTV02nZ1RPhicOZ3jicBKDEmtvTJw3iW9CwLhN+xkTYWJMhIk2/o3veTqQpM5j1EYjavm2KoTHtQttR7vQdtzZ/U4yzZksO76MZceX8fqm10kISmBin4kMSxjm7W76NIlvQsCNseH8mpXDf46kEmfQMTrCxJjwYPqaAhrNIwiS1AkhmowIYwTXdLiGazpcQ2FpIatPrZbn7YQQDeL62DCujw2j2GZjxZl8/i8zh7t2HsFqh5HhwYyJCGZ4WDBGF0bQ1heJhkKIRiu/JL/KcpVKhV6t5+KWFzdwj4QQzZ1BrWZkeDAjw4N5qWMim3IK+L+sXF48nMp9u44yODSIh1pE0S8ksMH7JkmdEKLRGvTloBpva0T7R3NFuyv4d9K/Uau89+1YCNF89TYF0NsUwJQ2sRwxF/N/mTmklVi80hdJ6oQQjdbsIbN5fdPrXNHuCrpHdAdge+Z2/nfwf9zd427OFJ3h450fo1fruavHXV7urRCiuWtlNHBPYpTXzi9JnRCi0frfgf/xWN/HuKTVJY6y4YnDaR/anm/3fssHYz4gNiCW97a9J0mdEKJBdFyxvcr1bFQot2ZbGfVcHxvGjbHhDd015H6FEKLR2pKxhc5hnSuVdw7rzNaMrQD0iupFakFqQ3dNCNFMTWoVjVqlDI54rHUMj7WOYWR4MCoV3B4fQVt/A0/uO8Fnp7IavG9ypU7UC1leSHhCTEAMi/YvYmKfiU7li/YvIiYgBoCc4hyZkFg0KIlvzdu6nAImt45lQnyEU/mnJzNZfiaP+d1a0znQyAcnMrg5rmGv1klSJzxOlhcSnvJon0d5dPmjrDy5km4R3QDYmbmTwzmHeWX4KwDsyNzBmNZjvNlN0YxIfBN/ns5japu4SuVDQ4OYcfAUoFzFe+5gSkN3zbtJXea775G3dCklhw6h8vPD2KsXUY8+iqFNa0cdW3Ex6S++SO5PS7CVlhI4eDAx06ehjTiXIZeeOkXKzJkUrl2H2t8f07hxRE2aiEorOas3yPJCwlNGtBjBj1f+yMK9CzmSewSAIfFDmHvRXOID4wG4vtP1Xuxh9SS++SaJbyJUq+HXrBzu8XceEPFrVg6hWg0AhVYbgdqGf8LNq1GhcP16Qm+6CWP3btitVtJffZVjd/6LtosXO2YvT0tOJn/5X8TPfQ11YBBps2Zx4sGHaPXlFwDYrVaO33Mv2sgIWn35BZaMDE5NfhKVVkvUpIk1nV40AFleSJyPUlsp8YHxPNLnkUr7zhSdIdQvtOE75SKJb75P4lvzNLFVDJP3HWfVmXx6BSt/y1vyCvk9K5c5HZSlC5efzmOgF+ap8+pAiRYfvE/IVVdiaN8ev06diEtOxnIqhaKdOwGw5uWR/d9FRE+eTMCAARi7dSU2+XnMmzdj3rIFgIJVqyg+eJC4OXPw69yZwGHDiHz4Ic588QX2khIvvjsB55YXcrzKBUAhavPE8iew2+2VyjPNmdzxf3d4oUeuk/jm+yS+NU83x4XzXc92+GvULMnIYUlGDka1mu96teemsmfo/t0iive6tmrwvjWq0a+2vDwA1CYTgBL8SksJGDTQUcfQpg3auFgKy4KeecsWDB06ON2uCBgyBFt+PsUHDlR5nuLiYnJzcx2vvLLzCiEal5SCFKb/Pd2pLKMwgzv+7w5am1pXc1TjJPFNCN/RLySQeV1bsbRvR5b27ci8rq3oawrAbLV5tV+NJqmz22ykPZ+MsXdv/Dp0AMCSkYlKp0MT7DyyTRsegTUz01FHGx5eYb+ybSmrU1FycjImk8nx6tKli6ffjhDCA94e+TZbMrYwZ/0cANIL07nj/+6gfUh7/nPhf7zcO9dJfBPCdzy970SV5QVWK+O3HWrg3jhrNEld6rPPUrx/P/GvvFzv55oyZQo5OTmO165du+r9nEII94X5hfHeqPf47ehvzFk/hzv+7w46hXVizrA5TWpZMIlvQviO37JymXPYeWRrgcXKTVsPYa3icZGG1CiiYuqzs8hftpwWn36CLibGUa6NjMBeWoo1N9epviUrE03Z7QhtZASWrKwK+5Xt8rcsyjMYDAQHBzteQUFBnnw7QggPigmI4b1R7/HToZ/oFtGNOcPmoFFrvN0tl0l8E8K3fN2zLZ+fyuK94+kA5FusXL/1ICrgi6Q2Xu2bV0e/2u120mbNJu+332j56SfoExKc9vt17Qo6HQWr1xA8ZjQAxYcOYzmVgn/PngAYe/Ykc967WLKyHLclClb9jTowEH27dg36foQQ52/Ql4NQVbEIT5GliOXHlzPkq3OjC1fduKohu+YWiW9C+KZWRgNfJrXl6s0HUKtUfJd2Br1axWc92hCg8e4XTq8mdanPPkvu4p9IeOtN1AEBWDIyAFAHBaH280MTFETI1VeR9uILaEwm1IGBpM2ejbFnT4xlQS9g8GAMbdty6onJRD3+GJaMTDLmziX0pptQ6/VefHdCiLqY3Heyt7vgERLfhPBdXQKNLOjRhuu2HqR3kD8LerTBqPH+zU+vJnXZX34FwLFbJziVxz7/PCFXXQlA9JQpqNRqTjz8MPaSEgKHDCZm2jRHXZVGQ+K8d0iZOZMjN9yI2mjENG4ckQ892HBvRAjhMVe0u8LbXfAIiW9CeIfVbuc/h1P5Nu0MGSWlROt1XB8bxsSW0XVe5WPk+r1V3D8Ag0pFWkkpYzftd5Qt7duxjj0/f15N6jrv2V1rHbXBQMy0aU6BriJdfDwt3nvPk10TQnhJYWkh/jrXZ+J3t35DkfgmhHe8eTSdT05lMrdTCzoG+LE1z8wje44RrNVwZ0Jkndq8JMLk4V7WD1lnRgjRqFz23WWM7zyeK9peQaR/1QHYbrezOmU1n+76lAuiL+DO7nc2cC+FEI3V+twCxkSYGFWWiLUwGvg+/Qybcwvr3OZjrWNqr9QISFInhGhUPhzzIa9vep13trxDx7COdAnvQpR/FAaNgZziHA7lHGJrxlY0Kg13dr+Taztc6+0uCyEaSF5eHrnlRowbDAYMBoNTnb7BASxIyeRgYRFt/f3YmW9mbXYBM9vF1fm8dru9zrduG5IkdUKIRqW1qTWvjniVlPwUfj36KxvTNrI1YytFliJC/ULpFNaJGQNnMCR+SJOa2kQIcf4qTqY9ffp0ZsyY4VT2YMso8qxWhqzdg0YFVjtMaRPL1TFhdT7vsHV7eLRVDJdGmtCrqx8QcaiwmHnH00n00/Ngy+g6n6+uJKlrhOx2O3azudr9KqOxSXxjEOJ8xAbGMqHrBCZ0nVB7ZdFkSHwT52PXrl3Ex8c7titepQP4X3o2i9LO8E6XlnQM8GNHvplp+086BkzUxfPtE5h16BRP7jvBsLAgkoL8idFrMajV5Fis7CsoYm1OAXsLirgjIYIJ8VXPI1nfJKlrZOx2O0dvGo958+Zq6xh796bl559J4BNCNCkS38T5CgoKIrjC0noVPXvwFA+0iGJcdCgAnQONnCgq4Y1jaXVO6oaGBfFrWEfWZufzQ3o2i9JOc6KolCKbjTCdlm6BRq6NCeXq6FBCdN5LrSSpa2TsZnONAQ/AvGkTdrMZlX/jG/EnhBDVkfgmGoLZakNd4UuBRqXC5oEVvPqHBNI/JPD8G6onktQ1Yu1XrURtNDq2bWYz+wcPqeEIIYRoGiS+ifoyKiKYuUfTiDfoHLdf5x1P58bYcG93rd5JUteIqY1G1PJtVQjhgyS+ifryfPsEXjycwpP7TpBVaiFar+PWuAgmtWr4gQsNTZI6IZqhr/d8zdf7vuZU/ikA2oa05d4e9zI0YSgAxdZiXlr/Er8c+YUSawmD4wbz9ICniTCee/g3JT+FWWtmsT51Pf46f8a2HcvDvR9Gqz4XVtanruel9S9xIPsAMQEx3N3jbsa1G9eg71UI0bwEajXMap/ArPYJtVf2Md5fqEwI0eCiA6J5pPcjfP3Pr/nqsq/oH9Ofh/58iANnDgAwZ90clp9YzssXvsxHl3xEujmdiX9OdBxvtVm57/f7KLWVsuDSBcwePJsfDvzAW1vectQ5kXeC+3+/n74xffn28m+5ufPNzPh7BqtOrnKrrxvTNvLkiicZv2Q8aQVpAPx48Ec2pW3ywCchhBC+o05Jnb20lNKUFIoPHcaane3hLgkh6tvwxOEMSxhGy+CWtDK14qHeD+Gv9Wdb5jbySvJYdGARj1/wOP1j+9M1vCuzBs9iS8YWtmZsBeDvU39zKOcQyUOT6RTWiaEJQ3mg1wN8tecrSq2lAHyz7xviA+N5vO/jtAlpw02db2JUy1Es2LXA5X4uPbqUe5fei5/Gjz1ZeyixlQCQV5LH+9vf9/wHg8Q3IUTT5fLtV2t+Abk//o/cn5Zg3r4de2kp2O2gUqGNiSZw8GBCrrsOY/fu9dlfIUQNXJltvSKrzcqvR3/FbDGTFJnErqxdWGwWBsQNcNRpY2pDbEAsW9O3khSZxNaMrbQPae90O3ZQ3CBmrZnFgewDdA7vzNb0rQyIHeB0rkFxg5izfo7L7+e9be/xzMBnGNt2LD8f/tlR3iuqF+9t89x6qBLfhBDuOGIu5quU0xwxFzOrfTyReh2/Z+US76ejU4Cx9gbqiUtJXdZHH5M1bx66Fi0IHDGc8HvuQRsVhdrPgDUnh+L9+yncsJFj/7oTY48exEx9Gn2rVvXbcyFEJa7Mtn7WvjP7uHnJzZRYS/DX+vPaiNdoG9KWPaf3oFPrCNY7zwUV7hdOZlEmAJnmTMKNziPJzm5nmpU6WUVZVdbJL82nyFKEn9av1vdzJOcIfaL7VCoP1AeSV5JX6/GukPgmhHDH32fyGb/tIH1NAazJLmBKm1gAduWb+SIli/ndWnutby4ldUXbt9PyswUY2revcr+xRw9Crr4aW0kJOYsWUbhxowQ9IbzAldnWz2od3JpvL/+WvNI8lh5ZytSVU/noko8aopsuCzeGcyz3GPGB8U7lm9M3kxDkmYegJb4JIdzx3KFTTG4dy70tomj71zZH+eDQQD48menFnrmY1MW/8rJLjan1ekJvuOG8OiSEqDtXZls/S6fR0SK4BQBdw7uyI2sHn+3+jEtaXUKprZTcklynq3VZRVlE+Cm3WyOMEezI3OHUXpY5y7EPlCt7Z8vK1wnUBbp0lQ7gmg7X8OK6F3l28LOoVCoyCjPYmrGVlze8zN097napjdpIfBNCuGN3QRFvdzFVKo/QaTldavFCj86RKU2EEICyhFOJtYQu4V3QqrWsTVnLqJajADicc5iUghSSopIASIpM4v3t75NlPneLdXXKagJ1gbQNaavUiUpixYkVTudYnbKapMgkl/v0r27/wma3ceevd1JkKeK2X25Dr9EzoesExnce74m3LYQQbjFpNaSXWGhpdL4TsiPfTIxe56VeKdxO6myFhWS+/z6Fq9dgOX0abDan/e1+W+qxzglR35rr4uKvbXyNIfFDiA2MpaC0gCWHlrA+dT3zRs0jSB/EVe2u4qX1L2HSmwjQB5C8NpmkyCRHQjYobhBtTG14auVTTOoziUxzJm9ufpMbOt2AXqMH4LoO1/HVnq94ZcMrjGs/jnUp6/j1yK+8dfFbNXXNiUql4u4ed3N719s5lneMwtJC2oa0xV9XP5PWSnwTvqS5xrf6dkVUCLMPnuL9rq1QATY7rMvOZ+aBU1wbU7e1ZT3F7aQuZeozFK5fj+mKsWgjI0H+QYgmqjkvLn666DRPr3yaDHMGQfog2oe2Z96oeQyKGwTAE/2eQLVexcRlEym1lTIobhBTB0x1HK9Ra3jr4reYtWYWNy+5GaPWyNi2Y7m/5/2OOglBCbx18VvMWT+Hz3Z/RrR/NDMGzWBw/GC3+6vT6BxXAOuTxDfhK5pzfKtvT7WJZcq+E/RevROrHYat24PVbueq6FAmennVCreTuvwVK0h8dx7+vXvXR3+EaDDNeXHxZwc/W+N+g8bA1AFTnRK5iuIC43hn5Ds1ttM3pi8LL19Ypz4CFJYWMn/HfNamrOV00WlsducrZ79c/Uud266KxDfhK5pzfKtverWalzu1YGKrGPYUFFFgtdI90J82/jVPH9UQ3E7qNMHBaEyVHxAUoinz5OLicsvDc2b8PYMNaRv4Z9t/EmmMREX9fm4S34Qvasj4Bs0nxiX46Unw03u7G07cTuoiH36IjNffIO6FZKd/JEI0ZZ5aXFxueXjWypMreWvkW/SK6tUg55P4JnxRQ8Y38P0YZ7Xb+TrlNCvO5JFZasFmd97/317tvNMxXEzqDl15FeW/IJcePcb+wUPQxceDzrmJNosWebSDov7JlSXPkVsenhVsCMakr98rZxLffJvEN89xJb6B78e4qftP8nXqaUaGB9MpwK/e7yC4w6WkLujii+u7H8JL5MpS/fHkLY/m6v6e9/Pmljd5bshzGLX1c+VM4pvvkvhWfyrGN2g+Me6H9DO817UVI8NdmxO0IbmU1EU+cH/tlUSTJFeW6o+nbnk0Z5/u+pTjeccZ/vVw4gLj0Kmd54D65vJvzvscEt98l8S3+tOc45tOpaK1sXE9S3eWy8/UnZr8JP4DBxDQrx+6uLj67JPwErmyJBqbixIvapDzSHzzfRLfhKfcmxjF+ycySW4f3+iu8Lqc1JWeOkXq9BnYS0vRxcfj378fAf3749+/P7qoqDqdvHD9erLmf0jRzp1YMjJIePMNgkaOdOw/9eQUcr7/3umYgCFDaPHB+45ta3Y2qbOfI//PP0GtJmj0KGKeegp1QECd+tScNedvXqJx+nfPfzfIeeojvoHEuMZE4pvwlHU5BazKzuOPrFw6Bvihq5DYfdi9tZd65kZS13LBp9hKSjBv2kzhunUUrltHyv9+xG6xoG/ZUgmCAwYQfMklLp/cZjZj6NQR09VXcfLBh6qsEzB0KHHPP+fYVumdL3mefPwJLBkZtPhwPnaLhVNPPUXKtOnEv/wfl/shhGje6iO+gcQ4IXxRsFbDPyJCvN2NKrk1pYlarydgQH8CBvQHwFZcjHnzZvL/WkH2N9+Q/c1Ct4Je4LBhBA4bBsDJauqo9HplZvcqFB88SMGKFbRauBBj924AxEydyvG77yHqiSfQRdf9G7YQwjsGfzmYxVcuJtQvlEFfDqpxZNmqG1d57Lyejm8gMU4IXzS3cwtvd6Fabs9TB2AvKaFwyxYK162ncO1azNu2oY2KImj0aE/3j8J169g3aDCa4GD8B/Qn8uGH0YaGAmDesgV1cLAj2AEEDBwIajXmbVvRjRpVZZvFxcUUFxc7tvPy8jzebyFE3TzR9wkCdMqtxcl9Jzf4+RsyvoHnY5zENyGaL5eTusL16ylYt47Cteswb9uGLjYW/759CbnuOuJemoMuJsbjnQsYOoSg0aPQxSdQevwY6a++xvG776HVV1+i0miwZGSiDXNePFel1aIxmbBmZlbbbnJyMjNnzvR4f4UQ5++KdldU+Xt98kZ8g/qJcRLfhPC8Uev3srBnW0J0Wkau31vjzHRL+3ZssH5V5HJSd/TWCehiYwm/607iX3kZbUREffYLANNllzl+9+vYAUPHjhwcNZrCdeuUb6t1NGXKFCZNmuTYPnnyJF26dDmvvgohPCO/JN/luoH6QI+c0xvxDeonxkl8EwJSikuYfTCFP7JyMdtstDIaeK1TC3oG122wzJgIE3q1GoBLIhrvUoIuJ3Xhd/6LgnXrSHs+mTNffoV/37749+uHf7++jlsF9U2fmIgmNJSSo8cIGDgQbWQEltOnnerYLRasOTloagjKBoMBg+Hcwru5ubn11mchhHsGfTmo1mkC7HY7KpWKrbdu9cg5G0N8A8/EOIlvornLLrVw+ab9DA4J4vOkNoTrtBw2FxOi09S5zcdax1T5e2PjclIX9eijANgKCijcuJHCdevImj+fk489hqFVy7Ig2J/gS8bUW2dLU1OxZmejjVIeKjb27IktNxfzjp0Yu3UFoGDNWrDZMPZIqrd+CCHqz/wx8xv8nI0hvoHEOCE84c1j6cQb9E4DGloaDTUcUTdbcgvZX1gEQIcAP5KCvD9ljtsDJdQBAU4juqzZ2WR9/DFnPvucM199TfAlO11uy1ZQQMmxY47tkhMnKNq9G43JhMZkIuOttwkePQpNRKTyvMlL/0HfogUBQ5QJIw1t2xIwdCgp054hdsYM7BYLabNmEXzppTIqTIgmqm9MX6+d25PxDSTGCeFpeXl5TlefK16ZBvi/zBxGhAVz547DrM4uINag47b4CG6OC/dIH04VlfDvXUdZl1OASatc/cuxWOlrCmBel5bE+XlvtQm3kzq7zUbR9u3KQ8Xr1mPetAlbYSG62FiCqhltWh3zjp0cmzDBsZ3+wosAmMaNI2bGdIr37uX4999jzctDFxlJwODBRD78EOpy8zjFvzSH1FmzOXbb7WUTc44m5umn3H1bQohGamPaRhbuW8iJvBO8fOHLRAdE8+PBH4kPjKd3dG+PnsuT8Q0kxgnhaRWfD50+fTozZsxwKjtWVMInpzK5JyGSh1tGsyWvkKn7T6BTqbg+1nngUV08uvc4pXY7K/p3op2/HwAHCot4ZPcxHt17nC+T2p73OerK5aQu64MPKFi3DvOmzdgKCtBGR+Pfry/RT03Bv39/9AkJbp88oH8/Ou/ZXe3+FvM/qLUNTUiITMIphI9aenQpT614isvaXMburN2U2EoAyCvJ4/3t7/NO9DseOU99xDeQGCeEp+3atYv4+HjHdsWrdAA2OyQFGXmqrbLkX/cgf/bkF/HpqUyPJHWrs/P5sXd7R0IH0M7fj+c6JDBu0/7zbv98uJzUnf7kU/z79SPqiccJ6N8ffcuW9dkvIYTgvW3v8czAZxjbdiw/H/7ZUd4rqhfvbXvPY+eR+CZE0xAUFERwcHCNdaL0WjoE+DmVtQ/w46eMHI/0Ic6gp9Rur1RutduJNug8co66cjmpa7/ir/rshxBCVHIk5wh9ovtUKg/UB5JX4rlJdSW+CeE7+pkCOFhY7FR2qLCYBD/PJFzT2sbx9L6TJHdIcEyRsiW3kGf2n2R62dVBb3E5qSs9dcqlero4774hIYTvCDeGcyz3GPGB8U7lm9M3kxBUt1uiVZH4JoTvuDsxiss37WPukTTGRoWwOa+QBaey+E/HuseMjiu2O004XGi1cenGfWjLpl+y2O1oVSom7jnOPyJDzu8NnAeXk7oDI8s9JHz2smP5uaTsdlCp6LzLvdFhQghRnWs6XMOL617k2cHPolKpyCjMYGvGVl7e8DJ397jbY+eR+CaE7+gV7M+H3Vrz/KEUXjmaSgs/PbPax3N1TN2fp3u2XXztlRoB10e/qlTooqMxXXklgSNGoNLWfRI/IYRwxb+6/Qub3cadv95JkaWI2365Db1Gz4SuExjfebznTiTxTQifMjrCxGgPrvxwdoCFxWZnUfoZRoQFEan37vNzVXH9mbplf5L9/ffkLPqOM19/jenyywm55moMbb03dFcI4dtUKhV397ib27vezrG8YxSWFtI2pC3+Os9O8inxTQjhCq1axeS9x/mrf2dvd6VKalcraiMjibjrLtr+vISEua9hzc3hyHXXc/j66znzzTfYbbb67KcQohnTaXQE6AKI9I/0eEIHEt+EEK7rGezPjrxCb3ejSm5PPgzg36cP/n36YJk4kZOPPkbqjJkEjx6NJiTEw90TQjRnFpuFd7a+wxe7v6DQogRRf60/N3a6kX/3/Dc6tedvf0h8E0LU5Lb4CGYcOMWp4lKSgvzx1zhfH+sSaPRSz+qY1BVu2kz2ov+S98v/oW/dmphpz6CuZd4YIYRwV/LaZH479hsT+0wkKVJZ63Rrxlbe2foOOcU5PDPwGY+fU+KbEKIm9+48CsDU/ScdZSrAXvbz1Iie3ugW4M6UJunp5PzwAzmLvsOam4vpn/+k5Ref49ehQ332TwjRjC05vIQ5w+YwNGGoo6xjWEdiAmKY/NdkjyV1Et+EEK5aN7BL7ZW8xPUpTS66GF1UFKZx4wi86CJUOi3Y7RTt3etUz69jR493UgjRPOk1+kpz1AEkBCZ49NarxDchhKsS/fS1V/IS12+/Wq2UpqSQ+c47ZM6bp5RVXCZD5nESQnjQDZ1uYN62ecwePBu9RgmkJdYS3tv+Hjd2utFzJ5L4JoRw0Tepp2vcf915zId3vlxO6tr9trQ++yGEEJXsydrD2tS1jFw4kg5hyq3Qfaf3UWorpX9sfx758xFH3ddGvFbn80h8E0K46plyz9IBlNrtmK029GoVRrW6aSR1BWvWEHjRRWhDQ+uzP0II4RCkD2Jki5FOZTH+MR4/j8Q3IYSr9g7tXqnsUGExk/cd577EKC/06ByXk7qc//1I6sxn8evShcCLLyLoootkYk4hmqgPtn/Ab0d/43DOYfy0fiRFJjGxz0Ram1o76hRbi3lp/Uv8cuQXSqwlDI4bzNMDnibCGOGok5Kfwqw1s1ifuh5/nT9j247l4d4Po1WfCy3rU9fz0vqXOJB9gJiAGO7ucTfj2o1zqZ+zh8z22HuuicQ3IcT5aONv4Ok2cTyw+ygrw703Wt7lpK7lJx9jzckhf/ly8v74k6x576KJCCdoxEUEXXwRxj59UKldnstYCOFFG1I3cEOnG+gW3g2r3crcTXO5Z+k9fH/F947Jfeesm8NfJ//i5QtfJlAfyPNrn2finxNZcOkCAKw2K/f9fh8RxggWXLqAjMIMnl75NFq1lod7PwzAibwT3P/7/Vzb4VpeGPoCa1LWMOPvGUQaIxkcP9hr778iiW9CiPOlVUFqcal3++BOZY3JhGnsWExjx2IvKaFg7Vry/viDk48/gb2oiMALhxE44iIChw1F7e/5Wd+FEJ4xb9Q8p+3ZQ2Zz4dcXsitrFxfEXEBeSR6LDizixaEv0j+2PwCzBs/iiu+vYGvGVpIik/j71N8cyjnE+6PfJ8IYQaewTjzQ6wFe3fgq9yXdh06j45t93xAfGM/jfR8HoE1IGzanb2bBrgXVJnXX/Xgd749+H5PBxLU/XosKVbXv45vLv/HQJyLxTQjhmv/LzHHattshraSUD09m0tcU4KVeKeo0+TCASq8ncOhQAocOhenTMW/fQf6ff5D5zjsUHzpI5H33ebKfQggX5OXlkZub69g2GAwYDIZaj8svyQfAZFAWwN6VtQuLzcKAuAGOOm1MbYgNiGVrupLUbc3YSvuQ9k63YwfFDWLWmlkcyD5A5/DObE3fyoDYAU7nGhQ3iDnr51TblxGJIxwjXS9KvMiFd+15Et+EENW5bfthp20VEK7XMiQkkBntKk/B1JDqnNRVZOzeDWP3bkQ+9BD2Uu9efhSiuerSxXlSzOnTpzNjxowaj7HZbby4/kV6RfWifWh7ADLNmejUOoL1zs+GhPuFk1mU6agTbgx33l+2nWlW6mQVZVVZJ780nyJLEX5av0r9+XfPf1f5uzdJfBNCnJXixRUjauNWUme3WMBmQ6U/N/HemYULMW/YiF+3boTePB6VSoVK5/n1GIUQtdu1axfx8ee+Kbpyle65Nc9x4MwBPvnHJ/XZtfOyM3Mnh3IOAcot3K7hXT1+DolvQghXvHw4lX+3iKq05qvZauPtY+k82trzI/Rd5daTvycff5yMN950bJ/56mvSnk/GZjaT+fbbZLzyqsc7KIRwXVBQEMHBwY5XbUndc2ueY/mJ5cwfM5+YgHOBKMIYQamtlNySXKf6WUVZRPhFOOpkmbOc95dtn70lG+4XXmWdQF1glVfpKkotSGXCzxO48acbeWHdC7yw7gVuXHwjt/58K6kFqbUe7w6Jb0IIV7x8JJUCq7VSudlm4+Ujno1L7nIrqSvatYuAoUMc22e++ZroKU+S8Ppc4l97jZyfFnu8g0IIz7Pb7Ty35jn+OPYH88fMJyEowWl/l/AuaNVa1qasdZQdzjlMSkEKSVFJACRFJrE/e79T0rY6ZTWBukDahijTgSRFJbEmZY1T26tTVpMUmeRSP2f8PQOLzcIP435g1Y2rWHXjKn4Y9wM2u40Zf8+oy1uvlsQ3IYQr7FDlAK5d+WZCdJqG71A5Lt1+PTXlKQAsqWmcWfAZOd//AHY7xXv2UrBiBeYtW8FqwZKewamnngYg7vnn6q/XQojz8tza51hyaAlzL5pLgC7A8Qzc2StoQfogrmp3FS+tfwmT3kSAPoDktckkRSY5ErJBcYNoY2rDUyufYlKfSWSaM3lz85vc0OkGx0CH6zpcx1d7vuKVDa8wrv041qWs49cjv/LWxW+51M8NaRtY8I8FTvPntTa1Zkr/Kdz2820e+SwkvgkhXNFxxXZUKAMjBq/d7ZTWWe12Cqw2bo2PqObohuFSUheX/DwABWvXEDbhVvwvuIC8Zcswb9pEwhtvAGDNyyPv9z8k2AnRBHy992sA7vi/O5zKZw2e5ZgY+Il+T6Bar2LisomU2koZFDeIqQOmOupq1BreuvgtZq2Zxc1LbsaoNTK27Vju73m/o05CUAJvXfwWc9bP4bPdnxHtH82MQTNcnqMuJiAGi81SqdxmsxHpH+nu266SxDchhCuebRePHTsT9xzn8dYxBGnOXZXTq1Uk+um5oClNaRLQtx8p06ZjuuIKchYtIujSfzj2Fe/Zg75lS493UAjhedsnbK+1jkFjYOqAqU6JXEVxgXG8M/KdGtvpG9OXhZcvdLuPAJP6TCJ5XTJP93+arhHK4IidmTt5Yf0LPHrBo3VqszoS34QQNbk+VlnTtYWfgX6mALTq6ufQ9Ba3krqoJyeTlpxM7uLF+A8YQMQ99zj25f32O6axl7t18sL168ma/yFFO3diycgg4c03CBp5bp1Hu91O5htvcGbhQmy5eRh79yJ2+nT0rVo56lizs0md/Rz5f/4JajVBo0cR89RTqAO8my0LIc7f1FVTKbIUcdOSm9ColG/FVrsVjUrDtFXTmLZqmqPuqhtXnde5PB3fQGKcEL5oUGigt7tQLbeSOm1oKPFzqp40NHrKk26f3GY2Y+jUEdPVV3HywYcq7c/64ANOL/iMuBeS0SUkkDH3dY7deRdtflqMumxU38nHn8CSkUGLD+djt1g49dRTpEybTvzL/3G7P0KIxmVy38kNdi5PxzeQGCdEY/DG0TSeO5TCXQkRzGqfUPsBTZjHJh+ui8BhwwgcNgyAkxX22e12Tn/6KRH33kvQxRcDEPfiC+wfPIS8337DdNllFB88SMGKFbRauBBj924AxEydyvG77yHqiSfQRUc15NsRQnjYFe2u8HYXzovEOCG8a3NuIZ+eyqJLQO1TKPkCl6Y0SZk+g9JU1+ZeyV2yhJwffzyvTgGUnjiBNSOTgEEDHWWaoCCMPXooo9EA85YtqIODHcEOIGDgQFCrMW/bWm3bxcXF5ObmOl55eXnn3V8hRNPkjfgG9RfjJL4JoSiwWLl/11Fe7piIyctTjTQUl67UacJCOfTPyzH27kXQiBH4deuGNioKlV6PLTeX4oMHKdy4kdwlP6ONiiT22WfPu2OWDGWKBU248xJDmogILJkZjjrasDCn/SqtFo3JhDUzs9q2k5OTmTlz5nn3UQjR9HkjvkH9xTiJb8KXubO+9ZP7TzAyPJhhYUG8erR+JgU+VVQCQJyfvpaaDcOlpC7q4YcJGz+e7G+/5cwXX1J88KDTfnVAAAEDBxL77ExlAexGbsqUKUyaNMmxffLkyUprZgohmgeJb0I0Ha6ub/192hm255n5pU8Hj/fBZrfz6pE05h1Pp8BqAyBQq+bexCgeaRmNWuW9UbEuP1OnjYgg4t57ibj3Xqw5OZSmpGAvKkITGoquRQtUHn4T2khlAj9rVha6qHPPjVgzMzF07uyoYzl92uk4u8WCNScHTUT1EwBWzOzLZ/1CiOanoeMb1F+Mk/gmfJkr61ufLCph6v6TfNOzLX4atxbOcknyoRS+SDnN023j6Fc2L93anAL+cziVYpudKW1iPX5OV9VpoITGZEJjMnm6L050CQloIiMoWL0Gv7IAZ83Px7xtGyE33gCAsWdPbLm5mHfsxNhNmcOqYM1asNkw9nBtGSIhRNNwdq3X8mvU1oeGiG8gMU6Iuji7vnVNtuUVkllqYdSGvY4yqx3WZBfw4clMjl2YhOY8vqh9k3qaVzolMibiXJzoEmgkVq/jyX0nml5S5ym2ggJKjh1zbJecOEHR7t1oTCZ0cXGE3XormfPmoW/VEl18Ahmvv442Ksoxz5OhbVsChg4lZdozxM6Ygf3/27vz8CiqdPHj3+pOOulsnX2FEJYQEpawyC5eFBT0jgoCFxVHHNefAorAXEFlcURQvM4dFMdlZlhFcUQQRGXuCIKAgLLvyB6BJGQhe2frrt8fkcYmCwnppHp5P8+Th/Tp6qq3D8mbt0/VOVVZSearrxJ0110yK0wIN2BVrXxw4AOWHl5KSWUJAP5e/jzc8WGe7PIkOsXxn8IdSXKcEM1vQEgg3/VMsmubeCyNRD9fxsVHNqqgA8irtNDOr/oIYTt/H/Iqq98BpzlpWtSZDx0mbexY2+NLr78BgGnYMGJfn0vY44+jms2kz5iJtaAAY4/utPzbh7b1mwDi3pxHxquzSXvkD78uzHkH0S+92OzvRQjheG/veZvVJ1czsftEukZ2BWDvpb28t/89yi3lPNu9+tpvzkRynBDNL8BLT3KA0a7NT68jxLt6+41I8Tey8Hw2r7W3X/Nu4flsUhyw/8bQtKjz792L5GNHa31eURQinn2WiGdrT9z64GBZhFMIN7X21Fpm9Z3FrfG32tqSQpOI9IvktR2vOX1RJzlOCPczvW0sDx08zfeXC233et2VX8zFsgqWd2mjaWyaFnVCCFGX/LJ8WptaV2tvbWpNfnm+BhEJIVzR6m6JDttXv5AAfuidzKIL2ZwsKQXgPyOCeSQunGgfb4cd50Y0qKgz79tH4XebUCsq8O/bxyWm9wshXFdSaBKfHPuEab2n2bV/cuwTkkKSannVjZH8JoSoj/Ol5cT5eNc4IeJ8aTktNFyzrt5FXcH6f3Fh0iQUX18ULy9yFy8mcvJkwh57tCnjE0J4sOd7PM+4DePYkb6D1Iiq2Z77s/aTUZzBXwf/1WHHkfwmhKivXtuPsL9/RyIM9qNyuRWV9Np+hIu3dtUmMOp5mzCAnA8/JHjUKJJ++pGkH3cS8dxzZH/4YVPGJoTwcD2je7Ju+DoGxQ+isLyQwvJCBsUP4svhX9IjqofDjiP5TQhRXyqgUH0GbbHFio9O2xn59R6pKzt7lrj//TOKvur+aWF/eISsd96hMicHr2tucyOEEI6QXpROtH90jRMi0ovSiQlwzHpQkt+EENcz88QFABRg3pl0jL8p4Cyo7CkooZPGs1/rXVKqZjO6gADbY8VgQGcwYC0paZLAhBBi6Kqh5JbmVmvPK81j6KqhDjuO5DchxPUcLDJzsMiMChwtKrU9Plhk5mRxGR0DjMxPjtc0xgZNlMj7bCU6Pz/bY9ViIX/1avTBIba20Id/77johBAeTVXVGm/RVVJZgo++5pt43yjJb0KIuqzq1g6A546mMTsxjkAvvcYRVVfvos47Joa8zz6zf3F4OPlr1l5tUBRJekKIRpv30zygah23BXsX4Ovla3vOqlo5mHXQobNfJb8JIepL69G4utS7qGu3cUNTxiGEEDbHco8BVSN1Jy6fwFt/dZaZt86b9qHteaTjIw47nuQ3IYQ7kMWHhRBOZ+GQhQC8vPVlpvaaSoAh4DqvEEIIUe+iLu+LL+q1XfCwYTcYihBC2Jt98+xmOY7kNyGEO6h3UZc+7cWqi4i9vEBVa95IUSTpCSFcjuQ3IYQ7qHdRZ2jbBkt2DkH33E3wiBH4Jjn2Fj1CCKEVyW9CiIY4XVLGtrxCsssrsV7zOXBy62htgqIBRV3bdesw799P3uerOPfQ7zHExxM8cgRBd9+NPkCudxFCuC7Jb0KI+vroYg4v/PwLod5eRBq87O4uoeAiRR2AMTUVY2oqUS9Oo2D9evJXrSZz3psEDhpEzJzX0Bm0u4mtEEI0huQ3IUR9/O/ZDKa2jmFCqyitQ6nmhma/6nx9CR42DENcHFnvLKDg66+Jnv4ySNITDWA1m2tsV4zGGhecFZ7pXME5fsz4kVxzLlasds89nfq0w48n+U04guQ395VfaeGeyGCtw6hRg4u6isxM8ld/Qd7qVaglZoLuuZvoWTPRm0xNEZ9wYyf631xju7F7d1ot/0gSn2DlzyuZvWM2wT7BhBvD7X4mFBSHF3WS34SjSH5zX3dHBrMpt5CxcY69q40j1LuoK/jmG/JWrabkp5/wv7k/US+8QMB//IftBthC1IdiNGLs3h3znj21bmPeswfVbEb5zS2bhGf68MCHTOg2gcc6P9akx5H8JhxB8ptnaG304Y0z6ewuKCbZ34i3zr5Af7xFhEaRNaCouzBpMt4xMYSOHYtXWBgV5y9wefnH1baT2+iIuiiKQqvlH6HWcGrCajbX+ukWqu4uUNPrbPuW0xpup6C8gDsS7mjy40h+E44g+c0zLLuYg79ez/a8YrbnFds9p+AiRZ13TAwoCgXr1tW+kdwbUdSDoigN/pSqqirnHhyDee/eWreR0xru545Wd7D94nZaJrVs0uNIfhOOIvnN/f3UN0XrEGol934VLkE1m+tMeCCnNRpiV8YuFh9ezJGcI2SZs/jLrX9hUPwg2/OqqvLuvnf5/MTnFJYX0jWyK9P7TKdVUCvbNvll+czZOYfN5zejQ8fgVoOZ2msqft5X+/947nHm7JzDoexDhPiG8GDygzza6dF6xxkfFM+CvQvYn7Wf9iHt8dLZp6wxyWMa0QtXSX4TWpL85prKrVbSSstJ8PXBS+ccxbbD7v1akZFB9rt/JebVPzlql0LUKHHbVnRGo+3x9U5riOrMlWbah7RneLvhTNw0sdrzCw8t5OOjHzP75tnEBcSxYN8Cnvr3U6wZtgYffdXFwS9seYHskmw+vP1DKq2VTN82nVnbZzHvlnkAFJUX8dS/n6JPbB+m95nOibwTzNg2g0BDIKPaj6pXnCt/Xomftx+7M3ezO3N3tecdVdRdj+Q30Vwkvzm/EouVl06c558ZuQD80DuZVkYfXvz5PDE+3poudeKwos6Sl0fe559L0hNNTmc0Vt3SSdywAS0GMKDFgBqfU1WVj45+xJNdnuS2+NsAmHPzHAZ+OpCNaRu5s/WdnM47zbYL21jxnyvoGN4RgGm9p/HMt88w5aYpRPpF8tXpr6iwVvBqv1fx1nvTLqQdx3KPsfTw0noXdetHrHfMG24kyW+iuUh+a7y3z2XyVVYeJ0vK8NXp6Gny4+W2sbTz83XI/uecvsjhIjOrurbjgQOnbe23hATyP2czNC3qdJodWQjhlM4XnSfbnE2f2D62tkBDIJ0jOrM/az8A+7P2E2gItBV0AH1i+qBTdBzMOmjbpkdUD7z13rZt+sf252zBWfLL8hsUU4WlgjP5Z6i0VjbmrQkhPMD2vCL+EBfOVz0S+WfXtlRYYfS+UxRbLA7Z/zdZ+cxNbEHv4AB+e9I1yd+Xs+YyhxzjRjlspE4Iob3CwkIKCgpsj318fPDxadhaSjnmHADCfMPs2sN8w8g2ZwOQbc6u9ryXzguTj8lum7jAOPt9GMNsxzD5XH/tN3Olmbk757L21FoAvhz+JS0DWzJn5xwi/SJ5vPPjDXpvQgj390lqW7vH85Pj6bTtEAcKzfQNbvxt/3IrKgk3VC+fSqxWtL6yzqlH6rLeWcDRDsl2X6fuvMv2vLWsjIw//Ymfe/fhWPcenJ/wLJXZ2RpGLIS2UlJSMJlMtq+5c+dqHVKjzN8zn+OXj7NwyEIM+qt3dOgT04d/nf2XhpE5huQ4IZpeYWXVCF2wl2PWnUwN9OPfOQXV2pdfzOEmk79DjnGj6j1Sd37ChDqftxQUNjqYmvgktiN+4cKrDV5XQ86cO5eizd8TN/8v6AICyXz1Vc5PeJaET6qvLyWEJzhy5AhxcVdHxxo6Sge/GU0rzSHC7+p6SzmlOXQI7QBAuDGcnNIcu9dVWivJL8sn3Bh+dRuz/Ta2UUCj/ShfbTambeTN/3iT1IhUu5tmtwtuxy+FvzTwndVOq/wGkuOEaIiGno2wqirTT16gl8mf5ABjrds1xLQ2MTx44DQ/F5diUVX+fj6Ln4vL+KmgmNXd2jnkGDeq3iN1uoDAOr+8Y2Mx3Xuv4yPUe+EVEXH1KyQEAEthIXmfryLqhRfw79MHY6eOxMydg3nvXsz79jk+DiFcQGBgIEFBQbavGynqWgS0INwYzs70nba2ovIiDmYdJDUiFYDUiFQKyws5nHPYts2P6T9iVa10juhs22Z35m4qrBW2bbanbychKKFep14BLpdeJtQ3tFq7udJsV+Q1lmb5DSTHCdEADT0bMfXn8xwrNvN+Sqs6t2uI3sEBbOiZhEVV6eBvZFNuIeEGL77qnkhqoLaTXOo9Uhc7d05TxlGr8nPnODHgFhQfH4xduxI56Xm8Y2MpPXwYKirw79fXtq1PmzZ4xcZQsm8fxq5da91nWVkZZWVXL2YsLGy6T+FCOKOSihLSCtNsjy8UXuBY7jFMBhMxATE8lPwQHxz4gPjAeOIC41iwdwERfhG22bBtgtvQP64/r/zwCtP7TKdSrWTOj3MY2nookX6RANzV5i7e2/8eM7fN5NFOj3Iy7yTLjy7njz3/WO84U8JS+P7897alS64Ucp+f+NxWYDqCVvkNHJ/jJL8Jd9aQsxHTfj7PtzkFrO7WjlhfQ63b3YgEow9vdYh36D4dwaknShhTuxA7dw6G1q2pvJRF9rvvcvahh2iz9ksqs7JRvL3RBwXZvcYrLBzLda45mTt3Lq+88kpThi6EUzucc5hH/3V1EeA3d70JwD1t7+G1m1/j0U6PYq4088r2VygsL6RbVDfeH/y+bY06gDcGvMFrO1/j8f97HJ1StfjwtF7TbM8HGgL54PYPmLNzDqPXjSbYN5inujxV7+VMAJ7r/hxPf/s0p/NOY1EtLD+6nFN5p9iXtY9FQxc5oCe01RQ5TvKbcGdXzkbURVVVXjxxgW+y8lnVrR2tjA0/Y1GXK9foXUsBDDoFg0676QpOXdQF3HLL1QdJSRhTu3DytkEUrv8GxefG15uZNm0akyZNsj2+cOECKSnOe9sPIRytZ3RPDo49WOvziqIwvtt4xncbX+s2Jh+TbaHh2iSFJrHkziU3HGf3qO6svHsl/zj0DxKDE/nh4g8khyXz0V0f0T6k/Q3v11k0RY6T/CY83dSfz7P60mUWd2pDgF7HpbKqS0ACvfQY9Y0vuNpvOVjnxR8xPt6MjgllSkI0uma+rZtTF3XX0gcFYUhIoPxcGv79+6FWVGApKLD7JFuZk40+PLzO/Vx7YeVvL7oUQjiXlkEtmdVvltZhNAtH5DjJb8LTLblYNSHrvn0n7dr/0qEl98fUb5JWXeYnx/P66XRGR4fSLajqGrq9BSX8MyOXiQlR5JRX8t4vWfgoOp5LaN6FiF2qqLMWF1P+yy+Y7rkH344dwdub4u07CBpyBwBlp89QeTEdvzqupxNCuI6i8qIa2xVFwaAz2C1s7A4kxwnReBm3dm3S/f8zPZeZ7WK5NzLE1nZHuIkOAb4su5DDym7tiPM1MP9cphR1v5X5xjwCbh2Id2wclZcukb3gHRSdjqDf/Sf6wECCR9xH5huvozeZ0AUEkDl7NsauXeucJCGEcB39PumHUsfpiyi/KO5tdy9Ppz6NTnHqZTdrJDlOCNezq6CYeUktq7V3DvBjd0HVBLReJn8ulJY3d2jOXdRVZmZwcfIULHl56END8evRnYRPV+AVWrXEQdS0aSg6Heefew61vJyAm/sTPWOGxlELIRxl9s2zeXvP29zb7l46h1ctlXIw+yBrT63lyS5Pcrn0MosPL8agM/BElyc0jrbhJMcJ4XpifQx8nJ7Dy21j7do/Ts8h1qdqlu3lCgsmr+YvsZy6qIv785/rfF7n40P0jBmS5ITLsZrNNbYrRmOdI1OeZu3JtUzpOYWhCUNtbQNbDiQxJJGVx1fy9yF/J8Y/hg8PfOiSRZ3kOOGu3DnHzWwXyxOHzrIxp4Cuv15Tt7+whJMlZfytYwIA+wpLuDcyuNljc+qiTgh3daL/zTW2G7t3p9Xyj1w+6TnKvqx9TO87vVp7cmgy+7P2A9AtshsZxRnNHZoQog7unOOGhJvY0rsDyy7mcLqkak3I20KDWNQpjPhfl095JK7uCZtNRYo6F+XOn4LclWI0YuzeHfOePbVuY96zB9VsRvHTdlVyZxHtH82qE6t4vsfzdu2rTqwi2j8agPyyfIIMda9bJVyL5DfX5Ek5rpXRp9rpV2cgRZ2LcudPQe5KURRaLf8ItYY/WFazudb/U082ucdkJm+ezNYLW+kU3gmAw9mHOZN/hj8PrDp1eSj7EENaD9EyTOFgkt9ckyfluPyKSj5Oz+VESSkASf6+PBATRpCXXtO4pKhzIZ70KchdKYoi/zcNcGv8rawdtpbPfv6McwXnALg57mbm3zafuICqWwWN7jBayxCFg0h+cw+ekOP2FZTwwP5T+Op1dPv1Xq8f/JLF/HOZrEhtSxcN7/8qRZ0L8aRPQUJc0SKwRbXTr8L9SH4TrmLmyQvcEW7iraSWeOmqRo0rrSqTjqcx48QFvuieqFlsUtS5GE/4FCTEbxWUF7D6xGpO558GoK2pLcMThxNoCNQ4MuFokt+EK9hfWML//KagA/DSKYyLj2LoruMaRgaut1qnEMJjHM4+zF2r7mLpkaXkl+WTX5bP0iNLuWvVXRzJOaJ1eEIIDxSg13OhrPrCwhdLy/HXyzV1QjiMzJpzL/N+msfAFgOZ1W8WXrqqdFVprWTmDzN548c3WHLnEo0jFKL5SH5zDvdGBjPp2C/MaBtLT5M/AD/lF/OnUxcZHhWsaWxS1Am3IrPm3MvhnMPM7DfTVtABeOm8eLTTo9y/7n4NIxOi+Ul+cw4z28WiKPDs0TQqVRUAb53C2NhwXmobo2lsUtTVg6qqtV68K7Qns+bcl7+3PxlFGbQxtbFrzyjOwM9b/i8dQfKbc5P85lwsqsrughKmJETzYptYzpmrFh9uZfTBT6/9FW1S1F2Hqqqce3AM5r17b3gfMmTetGTWnPsamjCUGT/MYMpNU+ga2RWAvZf28taut7ir9V3aBucGJL85P8lvzkWvKNy//xTf9+pAK6MXyQFGrUOyI0Xddahm83UTnrF7dxRj7f+xtf3S+SQnk/DRMvhN4pNPx1Wu7Yfr9UtTzpqTP1ramXLTFBRF4cWtL2JRLQB4KV78V9J/yTInDiD5TRuS31xbkr8vaeZyWv16SzBnIkVdAyRu24quhuRW0w9/fYbMy44e5XiPmxwepztwpk+fch2LNixWC/uz9vN06tM81/05fin8BYCWgS0xejnXp2N3IPmt+Uh+c21TW8fwyqmL/Lc1mtRAv2qnXQM1vKuEFHUNoDMa0dXz01JdQ+aoKmcf+j1lR4/W+vrrfTp2R/X5Q9Fc/SLXsWhPr9Pz1L+fYs2wNbQIbEH7kPZah+TWJL81Lclv7mPMgao1M8cePMNvS14VUICLt3bVIKoqUtQ1obqGzFuv+rzmhHjltS4w9O3oC6zr/ENxZZtm6he5jsU5tAtpx/mi87QIbKF1KOIakt8aRvKb+/i8azutQ6iVFHXXoRiNJO3ZbfveYft18ZXTHXGBdU2cqV+0iqWuPxqu8MfQkSZ0m8Bbu95ifNfxpISlVDvtGmAI0Cgy9yD5rWaS35qWq+e4fiHOm3ekqLsOZ/oldCaOuMBa1KyuT8lJe3Z71M/jM98+A8CEjRPsEr2qqiiKwv6H92sVmluQ/FYzyW9NyxVz3JGi+o/Qpmg4I1aKOtFoDbnAWtSsPte4eKJ/DPmH1iEIDyf5zTFcPccN+uk4Clevm6uLXFMnHKoppqjXNQW/IRdYa6mhywg0p/pcbwOOPUXmCnpG99Q6BOFkJL/VzJnzG2iT4xaez+Kvv1wiq7ySFH8jr7WPo3uQ/w3t68e+KbbvDxWW8MqpizzTMpKbfr1N2K78Yt7/JYvpckcJ4WhNMUXdHS6cdfb3IKfCqhzPPV7vbZNCk5owEuGMJL/VzBXeQ3PmuC8yLzPr5EXeSGpB9yB//vZLFg/sP83W3h2IMHg3eH8tfQ227584dJbZiS0YHBZka0sJMBLra2De6XTujAh2xFu4IVLUuYmmmKLuTFPwb5Q7vAdPM+rLUSiKYrturi5yTZ1nkPxWM3d4D03lg1+yGBMbxgMxYQDMS2rBtzkFrEjPZUKrqEbt+1ixmfjfFHlXxPsa+LmktFH7biwp6txEfaeoN2SI3pmm4N+opn4Pzn7KwxWtH7He9v3R3KO8testHun4CKkRqQDsz9rP0iNL5Y4SDqCqKiVWq9Zh1EvE0iWo5up/MK2lZk4Ouh2AouJidBar3XNmQ9Wq/yUWK4rFUq99XqEYfZ2+fxz9HlSL1dZnDe1PR/DT6Rr9N6XcauVAUQnPtoq0tekUhQGhAewqKG5siCT6+fL2uUz+3KElBp3Odsy3z2WS6Ofb6P03hhR1bqQ+Q9sNHaJ3h1OCTfkeXOGUh6uJDYi1fT9502Sm9prKLS1usbUlhSYR7R/Ngr0LGBQ/SIsQ3UaJ1Urb7w9qHUbjzV9c9e+hC7U/t+tkc0Xj+jTsz1O3dMZfX/sdGQoLCykoKLA99vHxwcfH/nZduRUWLCrVTrNGeHtzsris0TG+kdSChw+codsPR0gJqCrijhSVogBLu7Ru9P4bQ3f9TYSruzJEXxdPHaK/EdKfzedE3glaBFRfeLhFQAtO55/WICIhhJZSUlIwmUy2r7lz5zZ7DN2D/NnZN5mpbaJJ8TeS4m9kWpsYdvZNvuGJGI4iI3UewB1OozoT6c/m08bUhr8f/Duv9HsFb33Vp+4KSwV/P/h32pjaaByd6/PT6Th1S2etw2g8Vb3uKUjk97H+NOxPP13dY01HjhwhLi7O9vjaUTqAUG89egWyyivs2rMqKoj0aXzZU2yx4K/X8/vY8Ebvy9HcpqjLXb6c3H8spDI7G58OHYh++SWMXbpoHZbTcIfTqM5E+rN5TO8znfEbxzN45WASQxIBOHH5BAALblugZWjNrilynKIodZ7qcimBzrvKv0ty0v4MDAwkKCiozm0MOh1dAvzYcrnINhPVqqpsvVzEo3GNL8Q6bzvMPRHBPBATSu9g5+ontzj9WvD111x6/Q3Cx42j9arP8U1KIu3xJ6jMydE6NCGc2ifHPmHIyiH0WNaDB796kINZznV9VeeIznxz3zeM7zae9iHtaR/SngndJvDNfd/QOcINRpjqSXKcEA3zVMsIlqfn8Gl6Lj8Xl/LCz+cpsVi5Pya00ft+NzmevMpKRu47Rb8dR3nnXCYZZRXXf2EzcIuRupzFSwgeNYrgEfcBEP3KLIo2bybv81WEP/mExtEJ4ZzWn1nPmz+9yfQ+0+kS0YVlR5bx1LdP8eWwLwkzhmkdHgAlFSX4efsxqv0orUPRlOQ4IRpmWFQIORWVzDuTTlZ5JR0DjHzSpc0NrVF3rTsjgrkzIpjs8kpWZuTyaUYub5xJZ2BoEA/EhDIkzISXTpvT/S4/UqeWl1N6+DD+/fra2hSdDv++fTHv26ddYEI4uaVHljIicQTDE4fTNrgtM/rOwKg3svrkaq1Dsxn4z4FM3zadPZmueWshR5AcJ8SNeaxFBLv7dSRtYCrf3NSe7ibHTmIIN3jx/+Ij+a5XB2a1i2PL5UIeP3SW1B8O88bpdEoszb8cjsuP1FVezgOLBX2Y/ciCPjyMsjNnanxNWVkZZWVXpzUXFhbWun9VVTFXytpjwjkYvRwzAaPCUsGRnCM81vkxW5tO0dEntg/7s5xnQd+5A+ay5uQaHvu/x4gLiGNYu2Hc0/YeIv0ir/9iN9HQHNeQ/CaEuHFZ5RV8ml41Une+tILf/XqdXXpZBQvSLrGnoIRPu7Zt1phcvqi7EXPnzuWVV16p1p6enl6trbSylHvW39McYQlxXWuHrsXXq/rilld+dvPz8+0uIq5pDSeAy2WXsagWwnztC4Uw3zDO5Nf8YUgLg+IHMSh+ELmluXx56kvWnFrDu3vfpV9cP4a3G87AlgPx0nlkGqtVQ/KbEK7iys+v1QkWg/4qK48V6blsyi2kvb8Pj8SFMzIqBJP31VzU0+TPgJ3Hmj02l8+GXiHBoNdjueaCYUt2Dl7hNc9ymTZtGpMmTbI93r17N7fddhu9evVqylCFaLREEut8vlOnTnaPZ86cyaxZs5owouYR6hvK2I5jGdtxLMuPLufPu/7MlvNbCPENYVT7UTzW+TGMXu65LmBDc5zkN+HOMjMziY+P1zSGiUfTGBYVwtruiXQLqnkVhCiDN8818nZkN8LlizrFYMC3Y0eKt+8gcPBgAFSrleIdOwgZM6bG11w7ejFgwAA2btzIbbfdxpEjRwgMDGyW2F1BYWEhKSkp0i/XcLZ+sVqtpKWlkZKSgpfX1V/rmkbpAEJ8QtArenJK7QuFnNIcp5kk8VvZ5mzWnlrLmpNrSC9O5/aE27mv3X1klmSy8NBCDmQd4MM7PtQ6zCbR0Bwn+a3+nO332Fk4Y79YrVYyMzPp1q2b1qGwv38n/PR1T0kw6nVMaR3dTBFd5fJFHUDYI2O5OHUavp06YezSmdwlS7GazQTfN7xer/fy8qJHjx4AxMXFXXcNHE9y5XYs0i/2nLFfGvLp1VvvTUpYCjvTd9putWVVrexI38EDHR5oqhAb7Ntz3/LFyS/YdnEbbU1tGZ00mt+1/R1Bhqt93jWiK/esce9LJBqT4yS/1c4Zf4+dgbP2i9YjdIWVlhq/v1agl3ZrP7pFURd0111U5l4m6523sWRl45OcTPzfPqz19KsQAh5OeZiXtr5Ex7COdA7vzLKjyzBXmhnWbpjWodlM3zadoa2HsuzOZXQK71TjNhF+ETzZ+clmjqx5SY4TQnvttxykrmlqKqAAF2/t2jwB1UBRVVXV7OhOpKCgAJPJVO1Cc08n/VIzd+mXj49+zOLDi8k2Z9MhtANTe02lS4Tz3InFXGl222vlmpO7/Lw6mvRLzaRfavbD5SLb9yoqDx04zVsd4om+Zu27fiHa3WXCLUbqHMHHx4eZM2fWeg2Sp5J+qZm79MuDyQ/yYPKDWodRTVF5UY3fXyvA4Fy36HFW7vLz6mjSLzWTfqnZtcWaTlHoEeRHK6Pz9JOM1AkhnE6XJV3qXI9PVVUURWH/w86zpp4QwrO0/f4AG3smOVVRJyN1Qgin848h/7B7/My3zzCr3yyPWnRYCCEaSoo6IYTT6Rnd0+6xTtHRJaILLQNbahSREEI4PynqhBBCCCGu49GD9nfbKbNaeeH4+Wpr1i3s3Lo5w7IjRZ0QQgghxHVcu/7ciKhQjSKpXd1LInuId999l4SEBHx9fenduzc//vij1iE1u++//567776b2NhYFEXhiy++sHteVVVmzJhBTEwMRqORwYMHc+LECW2CbSZz586lZ8+eBAYGEhkZybBhwzh+/LjdNqWlpYwbN46wsDACAgIYMWIEmZmZGkXs3pQ6V4gSdfH0HCf5rWaS4xpmfnJ8vb605PFF3aeffsqkSZOYOXMme/bsITU1lSFDhnDp0iWtQ2tWxcXFpKam8u6779b4/Lx583j77bd5//332blzJ/7+/gwZMoTS0tJmjrT5bN68mXHjxrFjxw7+/e9/U1FRwR133EFxcbFtm+eff54vv/ySzz77jM2bN3Px4kXuu+8+DaN2DxO/m2j3VW4p59Udr1ZrF9cnOU7yW20kx7kfj1/SpHfv3vTs2ZMFCxYAVfeXa9myJRMmTGDq1KkaR6cNRVFYvXo1w4YNA6o+xcbGxjJ58mSmTJkCQH5+PlFRUSxevJj7779fw2ibT1ZWFpGRkWzevJlbbrmF/Px8IiIi+Pjjjxk5ciQAx44dIzk5me3bt9OnTx+NI3ZdL299uV7bzb55dhNH4vokx9mT/FY7yXGuz6OvqSsvL2f37t1MmzbN1qbT6Rg8eDDbt2/XMDLncubMGTIyMhj8683EAUwmE71792b79u0ek/Ty8/MBCA2tuo5i9+7dVFRU2PVLhw4diI+Pl4TXSFKsOYbkuOuT/HaV5DjX59GnX7Ozs7FYLERFRdm1R0VFkZGRoVFUzudKX3hyP1mtViZOnEj//v3p1KnqHqQZGRkYDAaCg4PttvWkfhHOTXLc9Ul+qyI5zj149EidEPU1btw4Dh06xNatW7UORQghHE5ynHvw6JG68PBw9Hp9tZk8mZmZREdHaxSV87nSF57aT+PHj2fdunV89913tGjRwtYeHR1NeXk5eXl5dtt7Sr8I5yc57vo8Pb+B5Dh34tFFncFgoEePHmzYsMHWZrVa2bBhA3379tUwMufSunVroqOj7fqpoKCAnTt3unU/qarK+PHjWb16NRs3bqR1a/sFJXv06IG3t7ddvxw/fpy0tDS37hfhOiTHXZ+n5jeQHOeOPP7066RJkxg7diw33XQTvXr14i9/+QvFxcX84Q9/0Dq0ZlVUVMTJkydtj8+cOcO+ffsIDQ0lPj6eiRMnMnv2bBITE2ndujXTp08nNjbWNoPMHY0bN46PP/6YNWvWEBgYaLuGxGQyYTQaMZlMPPbYY0yaNInQ0FCCgoKYMGECffv2lQuIhdOQHCf5rTaS49yQKtR33nlHjY+PVw0Gg9qrVy91x44dWofU7L777jsVqPY1duxYVVVV1Wq1qtOnT1ejoqJUHx8fddCgQerx48e1DbqJ1dQfgLpo0SLbNmazWX3mmWfUkJAQ1c/PTx0+fLianp6uXdBC1MDTc5zkt5pJjnM/Hr9OnRBCCCGEO/Doa+qEEEIIIdyFFHVCCCGEEG5AijohhBBCCDcgRZ0QQgghhBuQok4IIYQQwg1IUSeEEEII4QakqBNCCCGEcANS1AkhhBBCuAEp6gQAmzZtQlGUajdubi4bNmwgOTkZi8UCwKxZs+jatWuD91NeXk5CQgK7du1ycIRCCFcl+U14CinqPNDAgQOZOHGiXVu/fv1IT0/HZDJpEtN///d/8/LLL6PX6xu1H4PBwJQpU3jhhRccFJkQwpVIfhOeTIo6AVQli+joaBRFafZjb926lVOnTjFixIhG7ae8vByAMWPGsHXrVg4fPuyI8IQQLk7ym/AUUtR5mEceeYTNmzczf/58FEVBURTOnj1b7fTE4sWLCQ4OZt26dSQlJeHn58fIkSMpKSlhyZIlJCQkEBISwrPPPms7pQBQVlbGlClTiIuLw9/fn969e7Np06Y6Y1qxYgW33347vr6+1Z5btmwZCQkJmEwm7r//fgoLC23PDRw4kPHjxzNx4kTCw8MZMmQIACEhIfTv358VK1Y0vsOEEC5D8pvwdFLUeZj58+fTt29fnnjiCdLT00lPT6dly5Y1bltSUsLbb7/NihUrWL9+PZs2bWL48OF8/fXXfP311yxbtowPPviAlStX2l4zfvx4tm/fzooVKzhw4ACjRo1i6NChnDhxotaYtmzZwk033VSt/dSpU3zxxResW7eOdevWsXnzZl5//XW7bZYsWYLBYGDbtm28//77tvZevXqxZcuWhnaPEMKFSX4Tns5L6wBE8zKZTBgMBvz8/IiOjq5z24qKCt577z3atm0LwMiRI1m2bBmZmZkEBASQkpLCrbfeynfffcfo0aNJS0tj0aJFpKWlERsbC8CUKVNYv349ixYtYs6cOTUe59y5c7btf8tqtbJ48WICAwMB+P3vf8+GDRt47bXXbNskJiYyb968aq+NjY3l3Llz9esUIYRbkPwmPJ0UdaJWfn5+toQHEBUVRUJCAgEBAXZtly5dAuDgwYNYLBbat29vt5+ysjLCwsJqPY7ZbK7x1ERCQoIt4QHExMTYjnVFjx49atyn0WikpKSkjncnhPBkkt+EO5KiTtTK29vb7rGiKDW2Wa1WAIqKitDr9ezevbvaLK/fJsprhYeHc/ny5Xod/8qxrvD3969xn7m5uURERNR6TCGEZ5P8JtyRFHUeyGAw2F386yjdunXDYrFw6dIlBgwY0KDXHTlyxKGxHDp0iG7dujl0n0II5yf5TXgymSjhgRISEti5cydnz54lOzu72qfDG9W+fXvGjBnDww8/zKpVqzhz5gw//vgjc+fO5auvvqr1dUOGDGHr1q0OieGKLVu2cMcddzh0n0II5yf5TXgyKeo80JQpU9Dr9aSkpBAREUFaWprD9r1o0SIefvhhJk+eTFJSEsOGDeOnn34iPj6+1teMGTOGw4cPc/z4cYfEsH37dvLz8xk5cqRD9ieEcB2S34QnU1RVVbUOQog//vGPFBQU8MEHHzR6X6NHjyY1NZUXX3zRAZEJIUTjSH4TzUVG6oRTeOmll2jVqlWjT5WUl5fTuXNnnn/+eQdFJoQQjSP5TTQXGakTQgghhHADMlInhBBCCOEGpKgTQgghhHADUtQJIYQQQrgBKeqEEEIIIdyAFHVCCCGEEG5AijohhBBCCDcgRZ0QQgghhBuQok4IIYQQwg1IUSeEEEII4Qb+P8Kh4jHD1AnzAAAAAElFTkSuQmCC", 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    " ] @@ -2322,13 +2330,13 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 18, "id": "brutal-sigma", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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    " ] @@ -2344,7 +2352,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 19, "id": "brilliant-prairie", "metadata": {}, "outputs": [], @@ -2370,7 +2378,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 20, "id": "previous-sending", "metadata": {}, "outputs": [ @@ -2378,64 +2386,64 @@ "name": "stdout", "output_type": "stream", "text": [ - "(405451.67 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", - "(405451.67 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", - "(405451.68 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", - "(405451.70 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", - "(405451.71 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", - "(405451.72 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", - "(405451.73 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", - "(405451.74 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", - "(405451.76 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", - "(405451.77 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", - "(405451.79 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", - "(405451.80 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", - "(405451.81 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", - "(405451.82 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", - "(405451.84 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", - "(405451.85 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", - "(405451.86 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", - "(405451.87 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", - "(405451.88 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", - "(405451.89 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", - "(405451.91 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", - "(405451.92 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", - "(405451.93 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", - "(405451.94 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", - "(405451.95 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", - "(405451.96 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", - "(405451.98 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", - "(405451.99 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", - "(405452.00 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n", - "(405452.01 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", - "(405452.02 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", - "(405452.03 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", - "(405452.04 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", - "(405452.05 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", - "(405452.06 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", - "(405452.07 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", - "(405452.09 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", - "(405452.10 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", - "(405452.11 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", - "(405452.12 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", - "(405452.14 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", - "(405452.15 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", - "(405452.16 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", - "(405452.17 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", - "(405452.18 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", - "(405452.20 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", - "(405452.21 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", - "(405452.22 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", - "(405452.23 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", - "(405452.24 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", - "(405452.26 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", - "(405452.27 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", - "(405452.28 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", - "(405452.29 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", - "(405452.31 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", - "(405452.32 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", - "(405452.33 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", - "(405452.34 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n" + "(3037993.60 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", + "(3037993.60 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", + "(3037993.62 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", + "(3037993.64 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", + "(3037993.65 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", + "(3037993.68 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", + "(3037993.70 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", + "(3037993.73 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", + "(3037993.74 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", + "(3037993.77 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", + "(3037993.79 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", + "(3037993.81 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", + "(3037993.82 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", + "(3037993.84 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", + "(3037993.86 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", + "(3037993.87 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", + "(3037993.90 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", + "(3037993.91 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", + "(3037993.94 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", + "(3037993.95 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", + "(3037993.97 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", + "(3037993.97 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", + "(3037993.99 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", + "(3037994.01 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", + "(3037994.02 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", + "(3037994.04 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", + "(3037994.05 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", + "(3037994.06 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", + "(3037994.08 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n", + "(3037994.10 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", + "(3037994.10 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", + "(3037994.11 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", + "(3037994.12 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", + "(3037994.14 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", + "(3037994.16 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", + "(3037994.17 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", + "(3037994.19 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", + "(3037994.21 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", + "(3037994.21 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", + "(3037994.23 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", + "(3037994.25 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", + "(3037994.26 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", + "(3037994.28 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", + "(3037994.30 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", + "(3037994.32 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", + "(3037994.33 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", + "(3037994.34 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", + "(3037994.36 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", + "(3037994.38 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", + "(3037994.41 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", + "(3037994.42 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", + "(3037994.44 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", + "(3037994.46 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", + "(3037994.47 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", + "(3037994.48 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", + "(3037994.50 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", + "(3037994.51 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", + "(3037994.52 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n" ] } ], @@ -2488,7 +2496,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 21, "id": "15f86638", "metadata": {}, "outputs": [ @@ -2497,11 +2505,11 @@ "output_type": "stream", "text": [ "[+ 0.00] Beginning the formulation of the multiperiod optimization problem.\n", - "[+ 389.71] Completed the formulation of the multiperiod optimization problem.\n", - "2023-02-28 09:45:58 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "[+ 3.61] Created an instance of the flowsheet and initialized it.\n", - "[+ 42.96] Initialized the entire multiperiod optimization model.\n", - "[+ 1.05] Unfixed the degrees of freedom from each period model.\n" + "[+ 395.96] Completed the formulation of the multiperiod optimization problem.\n", + "2023-03-10 17:42:54 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "[+ 7.00] Created an instance of the flowsheet and initialized it.\n", + "[+ 30.23] Initialized the entire multiperiod optimization model.\n", + "[+ 0.88] Unfixed the degrees of freedom from each period model.\n" ] } ], @@ -2536,7 +2544,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 22, "id": "lightweight-prediction", "metadata": {}, "outputs": [], @@ -2564,7 +2572,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 23, "id": "6f4290ba", "metadata": {}, "outputs": [], @@ -2588,7 +2596,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 24, "id": "elder-victoria", "metadata": {}, "outputs": [ @@ -4244,7 +4252,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 25, "id": "suburban-radar", "metadata": {}, "outputs": [], @@ -4272,7 +4280,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 26, "id": "liberal-riverside", "metadata": {}, "outputs": [ @@ -4319,106 +4327,102 @@ " inequality constraints with only upper bounds: 7680\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -2.3828146e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -2.9113988e+09 1.92e+05 2.05e+04 -1.0 2.80e+06 - 1.26e-03 8.90e-01f 1\n", - " 2 -2.9604003e+09 7.84e+03 1.23e+04 -1.0 5.02e+05 - 1.23e-03 9.90e-01f 1\n", - " 3 -2.9611070e+09 2.31e+02 5.67e+02 -1.0 1.01e+04 - 3.37e-01 9.71e-01h 1\n", - " 4 -2.9615376e+09 1.28e+02 4.07e+02 -1.0 3.19e+02 - 7.02e-02 4.40e-01f 1\n", - " 5 -2.9617930e+09 1.14e+02 1.47e+03 -1.0 1.13e+03 - 2.21e-01 2.51e-01f 1\n", - " 6 -2.9630621e+09 9.46e-01 2.30e+03 -1.0 4.15e+02 - 1.63e-01 1.00e+00f 1\n", - " 7 -2.9644425e+09 2.25e-01 2.14e+03 -1.0 4.52e+02 - 4.38e-01 1.00e+00f 1\n", - " 8 -2.9665439e+09 6.35e-02 8.25e+02 -1.0 1.17e+03 - 8.62e-03 1.00e+00f 1\n", - " 9 -2.9680091e+09 4.86e-03 6.15e+02 -1.0 4.29e+03 - 2.28e-01 7.81e-01f 1\n", - "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -2.9696504e+09 1.88e-04 2.31e+03 -1.0 3.42e+03 - 1.62e-02 8.40e-01f 1\n", - " 11 -2.9710256e+09 1.65e-07 2.56e+04 -1.0 8.99e+02 - 1.81e-01 8.33e-01f 1\n", - " 12 -2.9724581e+09 2.28e-08 1.29e+04 -1.0 2.35e+03 - 1.68e-01 8.70e-01f 1\n", - " 13 -2.9738029e+09 1.83e-09 1.63e+04 -1.0 9.74e+02 - 1.87e-01 8.95e-01f 1\n", - " 14 -2.9750402e+09 4.37e-10 1.61e+04 -1.0 1.16e+03 - 2.21e-01 9.09e-01f 1\n", - " 15 -2.9761197e+09 1.16e-10 7.42e+03 -1.0 8.63e+02 - 2.62e-01 9.28e-01f 1\n", - " 16 -2.9768881e+09 1.16e-10 7.46e+03 -1.0 9.18e+02 - 3.17e-01 8.28e-01f 1\n", - " 17 -2.9775173e+09 1.16e-10 4.88e+03 -1.0 1.32e+03 - 3.33e-01 8.53e-01f 1\n", - " 18 -2.9779385e+09 1.16e-10 4.66e+03 -1.0 1.92e+03 - 3.07e-01 8.60e-01f 1\n", - " 19 -2.9781870e+09 1.16e-10 4.17e+03 -1.0 2.62e+03 - 2.93e-01 9.62e-01f 1\n", + " 0 -2.3999176e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -2.9322656e+09 1.92e+05 2.04e+04 -1.0 2.80e+06 - 1.29e-03 8.90e-01f 1\n", + " 2 -2.9820927e+09 7.84e+03 1.20e+04 -1.0 5.02e+05 - 1.24e-03 9.90e-01f 1\n", + " 3 -2.9832326e+09 2.31e+02 5.66e+02 -1.0 1.01e+04 - 3.46e-01 9.71e-01f 1\n", + " 4 -2.9839263e+09 1.28e+02 4.07e+02 -1.0 5.09e+02 - 6.59e-02 4.41e-01f 1\n", + " 5 -2.9843148e+09 1.15e+02 1.46e+03 -1.0 1.17e+03 - 2.15e-01 2.43e-01f 1\n", + " 6 -2.9862524e+09 9.57e-01 2.28e+03 -1.0 6.28e+02 - 1.67e-01 1.00e+00f 1\n", + " 7 -2.9882392e+09 2.30e-01 2.17e+03 -1.0 6.45e+02 - 4.97e-01 1.00e+00f 1\n", + " 8 -2.9911854e+09 7.91e-02 6.87e+02 -1.0 1.27e+03 - 1.08e-02 1.00e+00f 1\n", + " 9 -2.9929795e+09 1.52e-03 6.12e+02 -1.0 3.03e+03 - 6.11e-02 8.04e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20 -2.9782474e+09 1.16e-10 3.09e+03 -1.0 3.34e+03 - 3.13e-01 7.28e-01f 1\n", - " 21 -2.9782647e+09 1.16e-10 1.53e+03 -1.0 4.23e+03 - 5.96e-01 7.16e-01f 1\n", - " 22 -2.9782511e+09 2.33e-10 8.01e+02 -1.0 7.04e+03 - 4.76e-01 4.74e-01f 1\n", - " 23 -2.9782446e+09 2.33e-10 9.65e+02 -1.0 7.73e+03 - 3.12e-01 1.20e-01f 1\n", - " 24 -2.9782318e+09 2.33e-10 6.22e+02 -1.0 8.33e+03 - 1.28e-01 2.09e-01f 1\n", - " 25 -2.9782075e+09 2.33e-10 1.66e+03 -1.0 7.60e+03 - 2.20e-01 4.33e-01f 1\n", - " 26 -2.9781963e+09 2.33e-10 5.02e+03 -1.0 2.34e+04 - 1.34e-01 2.72e-01f 1\n", - " 27 -2.9781903e+09 2.33e-10 6.02e+03 -1.0 2.51e+04 - 1.80e-01 2.17e-01f 1\n", - " 28 -2.9781785e+09 2.33e-10 2.21e+04 -1.0 1.97e+04 - 1.65e-01 4.39e-01f 1\n", - " 29 -2.9781635e+09 1.16e-10 9.88e+03 -1.0 1.76e+04 - 2.70e-01 6.28e-01f 1\n", + " 10 -2.9944808e+09 2.71e-05 2.56e+03 -1.0 1.58e+03 - 1.35e-01 8.16e-01f 1\n", + " 11 -2.9958140e+09 5.35e-07 2.09e+04 -1.0 1.28e+03 - 1.83e-01 8.41e-01f 1\n", + " 12 -2.9969968e+09 4.04e-08 1.98e+04 -1.0 1.11e+03 - 1.98e-01 8.70e-01f 1\n", + " 13 -2.9979719e+09 5.98e-09 1.69e+04 -1.0 7.38e+02 - 2.51e-01 8.95e-01f 1\n", + " 14 -2.9987075e+09 8.12e-10 1.29e+04 -1.0 6.33e+02 - 3.07e-01 8.98e-01f 1\n", + " 15 -2.9991734e+09 1.43e-10 7.03e+03 -1.0 9.01e+02 - 4.05e-01 8.30e-01f 1\n", + " 16 -2.9995077e+09 1.16e-10 6.29e+03 -1.0 1.46e+03 - 3.45e-01 9.11e-01f 1\n", + " 17 -2.9996177e+09 1.16e-10 3.97e+03 -1.0 2.05e+03 - 3.62e-01 7.16e-01f 1\n", + " 18 -2.9996650e+09 1.16e-10 2.33e+03 -1.0 2.84e+03 - 3.93e-01 6.83e-01f 1\n", + " 19 -2.9996732e+09 1.16e-10 1.34e+03 -1.0 3.73e+03 - 4.36e-01 4.67e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30 -2.9781470e+09 1.16e-10 9.55e+03 -1.0 1.18e+04 - 3.70e-01 1.00e+00f 1\n", - " 31 -2.9781420e+09 1.16e-10 4.61e+03 -1.0 1.17e+04 - 4.98e-01 8.85e-01f 1\n", - " 32 -2.9781326e+09 1.16e-10 1.76e+03 -1.0 9.94e+03 - 4.83e-01 1.00e+00f 1\n", - " 33 -2.9781254e+09 1.16e-10 6.74e+02 -1.0 6.18e+03 - 7.26e-01 1.00e+00f 1\n", - " 34 -2.9781187e+09 1.16e-10 3.38e+01 -1.0 9.21e+03 - 9.26e-01 1.00e+00f 1\n", - " 35 -2.9781144e+09 1.16e-10 1.35e+01 -1.0 8.22e+03 - 9.91e-01 1.00e+00f 1\n", - " 36 -2.9781141e+09 1.16e-10 2.80e+00 -1.0 2.89e+03 - 1.00e+00 1.00e+00f 1\n", - " 37 -2.9781141e+09 1.16e-10 5.53e-02 -1.0 4.56e+02 - 1.00e+00 1.00e+00f 1\n", - " 38 -2.9784067e+09 2.03e-10 1.72e+02 -2.5 6.48e+04 - 1.00e+00 9.21e-01f 1\n", - " 39 -2.9784277e+09 1.16e-10 6.52e+03 -2.5 7.00e+03 - 1.00e+00 8.02e-01f 1\n", + " 20 -2.9996702e+09 2.33e-10 9.13e+02 -1.0 4.57e+03 - 5.05e-01 3.52e-01f 1\n", + " 21 -2.9996667e+09 2.33e-10 7.93e+02 -1.0 4.95e+03 - 1.30e-01 1.31e-01f 1\n", + " 22 -2.9996590e+09 2.33e-10 6.77e+02 -1.0 4.68e+03 - 3.58e-01 2.76e-01f 1\n", + " 23 -2.9996459e+09 2.33e-10 2.68e+03 -1.0 4.25e+03 - 2.96e-01 4.43e-01f 1\n", + " 24 -2.9996382e+09 2.33e-10 9.76e+03 -1.0 3.65e+03 - 1.82e-01 3.26e-01f 1\n", + " 25 -2.9996233e+09 1.16e-10 1.57e+04 -1.0 7.87e+03 - 2.09e-01 8.65e-01f 1\n", + " 26 -2.9996209e+09 1.16e-10 8.11e+03 -1.0 6.93e+03 - 3.10e-01 5.27e-01f 1\n", + " 27 -2.9996168e+09 1.16e-10 7.26e+03 -1.0 5.62e+03 - 3.91e-01 9.72e-01f 1\n", + " 28 -2.9996111e+09 1.16e-10 4.65e+03 -1.0 4.91e+03 - 4.07e-01 1.00e+00f 1\n", + " 29 -2.9996080e+09 1.16e-10 2.22e+03 -1.0 3.02e+03 - 5.32e-01 1.00e+00f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40 -2.9784327e+09 1.16e-10 1.68e+00 -2.5 1.39e+03 - 1.00e+00 1.00e+00f 1\n", - " 41 -2.9784326e+09 1.16e-10 2.31e-01 -2.5 2.46e+01 - 1.00e+00 1.00e+00f 1\n", - " 42 -2.9784326e+09 1.16e-10 2.81e-03 -2.5 2.73e+00 - 1.00e+00 1.00e+00f 1\n", - " 43 -2.9784375e+09 1.16e-10 2.52e+03 -3.8 1.88e+03 - 1.00e+00 5.71e-01f 1\n", - " 44 -2.9784385e+09 2.33e-10 1.77e+03 -3.8 8.37e+02 - 6.60e-01 3.41e-01f 1\n", - " 45 -2.9784386e+09 2.33e-10 1.56e+03 -3.8 1.04e+03 - 1.64e-01 1.21e-01f 1\n", - " 46 -2.9784389e+09 2.33e-10 1.27e+03 -3.8 5.35e+02 - 1.75e-01 1.85e-01f 1\n", - " 47 -2.9784390e+09 2.33e-10 1.06e+03 -3.8 6.79e+02 - 1.10e-01 1.62e-01f 1\n", - " 48 -2.9784391e+09 2.33e-10 9.78e+02 -3.8 3.65e+02 - 2.58e-01 8.98e-02f 1\n", - " 49 -2.9784391e+09 2.33e-10 8.03e+02 -3.8 2.45e+02 - 6.61e-02 1.73e-01f 1\n", + " 30 -2.9996047e+09 1.16e-10 3.89e+02 -1.0 3.51e+03 - 7.75e-01 1.00e+00f 1\n", + " 31 -2.9996013e+09 1.16e-10 2.76e+01 -1.0 5.50e+03 - 9.90e-01 1.00e+00f 1\n", + " 32 -2.9995998e+09 1.16e-10 8.77e+00 -1.0 3.41e+03 - 9.96e-01 1.00e+00f 1\n", + " 33 -2.9995997e+09 1.16e-10 1.39e+00 -1.0 1.21e+03 - 1.00e+00 1.00e+00f 1\n", + " 34 -2.9995997e+09 1.16e-10 2.15e-02 -1.0 1.69e+02 - 1.00e+00 1.00e+00f 1\n", + " 35 -2.9997732e+09 1.16e-10 1.86e+02 -2.5 3.73e+04 - 1.00e+00 9.07e-01f 1\n", + " 36 -2.9997868e+09 1.16e-10 5.98e+03 -2.5 4.17e+03 - 1.00e+00 7.57e-01f 1\n", + " 37 -2.9997909e+09 1.16e-10 2.66e+00 -2.5 1.00e+03 - 1.00e+00 1.00e+00f 1\n", + " 38 -2.9997908e+09 1.16e-10 8.12e-01 -2.5 4.54e+01 - 1.00e+00 1.00e+00f 1\n", + " 39 -2.9997908e+09 1.16e-10 3.97e-02 -2.5 1.03e+01 - 1.00e+00 1.00e+00f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50 -2.9784392e+09 3.49e-10 7.42e+02 -3.8 1.55e+02 - 1.75e-01 8.21e-02f 1\n", - " 51 -2.9784392e+09 2.33e-10 6.50e+02 -3.8 1.35e+02 - 5.96e-02 1.20e-01f 1\n", - " 52 -2.9784393e+09 3.49e-10 5.30e+02 -3.8 1.12e+02 - 9.78e-02 1.79e-01f 1\n", - " 53 -2.9784393e+09 3.49e-10 5.34e+02 -3.8 9.16e+01 - 2.36e-01 7.16e-02f 1\n", - " 54 -2.9784393e+09 3.49e-10 4.92e+02 -3.8 8.23e+01 - 9.90e-02 8.48e-02f 1\n", - " 55 -2.9784394e+09 2.33e-10 3.02e+02 -3.8 7.46e+01 - 2.99e-02 3.21e-01f 1\n", - " 56 -2.9784394e+09 3.49e-10 2.79e+02 -3.8 4.87e+01 - 2.91e-01 9.42e-02f 1\n", - " 57 -2.9784394e+09 3.49e-10 2.45e+02 -3.8 4.16e+01 - 3.86e-01 2.32e-01f 1\n", - " 58 -2.9784394e+09 3.49e-10 2.46e+02 -3.8 2.82e+01 - 1.22e-01 3.61e-02f 1\n", - " 59 -2.9784394e+09 2.33e-10 1.19e+02 -3.8 2.71e+01 - 8.77e-02 4.47e-01f 1\n", + " 40 -2.9997908e+09 1.16e-10 1.09e-04 -2.5 5.32e-01 - 1.00e+00 1.00e+00h 1\n", + " 41 -2.9997929e+09 1.16e-10 3.30e+03 -3.8 1.03e+03 - 1.00e+00 4.35e-01f 1\n", + " 42 -2.9997931e+09 2.33e-10 2.95e+03 -3.8 6.18e+02 - 2.07e-01 1.15e-01f 1\n", + " 43 -2.9997933e+09 2.33e-10 2.48e+03 -3.8 5.61e+02 - 1.14e-01 1.56e-01f 1\n", + " 44 -2.9997935e+09 2.33e-10 1.96e+03 -3.8 4.79e+02 - 1.25e-01 2.01e-01f 1\n", + " 45 -2.9997936e+09 3.49e-10 1.86e+03 -3.8 3.36e+02 - 2.29e-01 6.99e-02f 1\n", + " 46 -2.9997937e+09 2.33e-10 1.47e+03 -3.8 3.06e+02 - 1.27e-01 2.04e-01f 1\n", + " 47 -2.9997938e+09 3.49e-10 1.26e+03 -3.8 3.12e+02 - 6.95e-02 1.36e-01f 1\n", + " 48 -2.9997938e+09 3.49e-10 1.13e+03 -3.8 2.84e+02 - 2.50e-01 1.13e-01f 1\n", + " 49 -2.9997939e+09 3.49e-10 1.01e+03 -3.8 1.96e+02 - 1.66e-01 1.16e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60 -2.9784394e+09 2.33e-10 1.01e+02 -3.8 1.62e+01 - 8.25e-01 4.85e-01f 1\n", - " 61 -2.9784395e+09 1.16e-10 4.51e+00 -3.8 7.74e+00 - 1.00e+00 9.53e-01f 1\n", - " 62 -2.9784395e+09 1.16e-10 3.46e-05 -3.8 1.56e+00 - 1.00e+00 1.00e+00f 1\n", - " 63 -2.9784395e+09 2.33e-10 4.57e+01 -5.7 4.77e+01 - 2.13e-01 1.12e-01f 1\n", - " 64 -2.9784395e+09 2.33e-10 6.28e+01 -5.7 3.72e+01 - 1.58e-01 9.77e-02f 1\n", - " 65 -2.9784395e+09 2.33e-10 3.97e+01 -5.7 3.55e+01 - 3.75e-02 9.70e-02f 1\n", - " 66 -2.9784395e+09 3.49e-10 4.27e+01 -5.7 2.91e+01 - 8.08e-02 5.78e-02f 1\n", - " 67 -2.9784395e+09 2.33e-10 9.09e+01 -5.7 3.06e+01 - 1.52e-01 4.15e-01f 1\n", - " 68 -2.9784396e+09 2.33e-10 7.36e+01 -5.7 1.62e+01 - 4.44e-01 6.39e-01f 1\n", - " 69 -2.9784396e+09 1.16e-10 6.85e+00 -5.7 4.26e+00 - 8.97e-01 9.66e-01f 1\n", + " 50 -2.9997939e+09 3.49e-10 8.78e+02 -3.8 1.23e+02 - 1.26e-01 1.29e-01f 1\n", + " 51 -2.9997939e+09 3.49e-10 9.27e+02 -3.8 1.08e+02 - 3.06e-01 6.97e-02f 1\n", + " 52 -2.9997940e+09 3.49e-10 7.62e+02 -3.8 7.76e+01 - 4.92e-02 1.60e-01f 1\n", + " 53 -2.9997940e+09 3.49e-10 7.22e+02 -3.8 6.35e+01 - 1.54e-01 6.33e-02f 1\n", + " 54 -2.9997940e+09 3.49e-10 5.07e+02 -3.8 5.98e+01 - 2.77e-01 2.96e-01f 1\n", + " 55 -2.9997940e+09 2.33e-10 4.24e+02 -3.8 3.90e+01 - 2.63e-01 1.65e-01f 1\n", + " 56 -2.9997940e+09 3.49e-10 3.52e+02 -3.8 3.11e+01 - 2.39e-01 1.64e-01f 1\n", + " 57 -2.9997941e+09 3.49e-10 2.22e+02 -3.8 2.43e+01 - 1.74e-01 3.84e-01f 1\n", + " 58 -2.9997941e+09 2.33e-10 1.59e+02 -3.8 1.46e+01 - 1.48e-01 2.98e-01f 1\n", + " 59 -2.9997941e+09 2.33e-10 9.66e+01 -3.8 1.01e+01 - 4.81e-01 3.81e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 70 -2.9784396e+09 1.16e-10 1.19e-05 -5.7 3.67e-01 - 1.00e+00 1.00e+00f 1\n", - " 71 -2.9784396e+09 1.16e-10 2.05e-05 -7.0 3.85e-01 - 1.00e+00 1.00e+00f 1\n", - " 72 -2.9784396e+09 1.16e-10 6.89e-09 -7.0 1.84e-03 - 1.00e+00 1.00e+00h 1\n", + " 60 -2.9997941e+09 1.16e-10 3.65e+01 -3.8 5.97e+00 - 4.69e-01 9.25e-01f 1\n", + " 61 -2.9997941e+09 1.16e-10 4.55e-05 -3.8 4.48e-01 - 1.00e+00 1.00e+00f 1\n", + " 62 -2.9997941e+09 2.33e-10 3.64e+01 -5.7 2.31e+01 - 2.22e-01 1.42e-01f 1\n", + " 63 -2.9997941e+09 2.33e-10 6.87e+01 -5.7 1.86e+01 - 4.19e-02 2.45e-01f 1\n", + " 64 -2.9997942e+09 2.33e-10 1.53e+02 -5.7 1.36e+01 - 3.98e-01 7.03e-01f 1\n", + " 65 -2.9997942e+09 1.16e-10 2.58e+01 -5.7 2.46e+00 - 8.46e-01 8.05e-01f 1\n", + " 66 -2.9997942e+09 1.16e-10 4.41e-05 -5.7 3.20e-01 - 1.00e+00 1.00e+00f 1\n", + " 67 -2.9997942e+09 1.16e-10 2.96e-08 -5.7 6.00e-03 - 1.00e+00 1.00e+00h 1\n", + " 68 -2.9997942e+09 1.16e-10 9.89e-06 -7.0 1.86e-01 - 1.00e+00 1.00e+00f 1\n", + " 69 -2.9997942e+09 1.16e-10 3.54e-11 -7.0 5.35e-04 - 1.00e+00 1.00e+00h 1\n", "\n", - "Number of Iterations....: 72\n", + "Number of Iterations....: 69\n", "\n", " (scaled) (unscaled)\n", - "Objective...............: -7.2809607966117442e+07 -2.9784395889135299e+09\n", - "Dual infeasibility......: 6.8942340184760490e-09 2.8202403651753174e-07\n", + "Objective...............: -1.2221938796853948e+08 -2.9997941795897131e+09\n", + "Dual infeasibility......: 3.5362247101907029e-11 8.6794300639780532e-10\n", "Constraint violation....: 1.1641532182693481e-10 1.1641532182693481e-10\n", - "Complementarity.........: 9.1220969742037112e-08 3.7315974527043550e-06\n", - "Overall NLP error.......: 9.1220969742037112e-08 3.7315974527043550e-06\n", + "Complementarity.........: 9.8438283211592237e-08 2.4161026653393979e-06\n", + "Overall NLP error.......: 9.8438283211592237e-08 2.4161026653393979e-06\n", "\n", "\n", - "Number of objective function evaluations = 73\n", - "Number of objective gradient evaluations = 73\n", - "Number of equality constraint evaluations = 73\n", - "Number of inequality constraint evaluations = 73\n", - "Number of equality constraint Jacobian evaluations = 73\n", - "Number of inequality constraint Jacobian evaluations = 73\n", - "Number of Lagrangian Hessian evaluations = 72\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 65.449\n", - "Total CPU secs in NLP function evaluations = 31.332\n", + "Number of objective function evaluations = 70\n", + "Number of objective gradient evaluations = 70\n", + "Number of equality constraint evaluations = 70\n", + "Number of inequality constraint evaluations = 70\n", + "Number of equality constraint Jacobian evaluations = 70\n", + "Number of inequality constraint Jacobian evaluations = 70\n", + "Number of Lagrangian Hessian evaluations = 69\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 65.950\n", + "Total CPU secs in NLP function evaluations = 36.593\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -4426,10 +4430,10 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 424246, 'Number of variables': 422329, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 103.68753337860107}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 424246, 'Number of variables': 422329, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 110.95537257194519}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, - "execution_count": 70, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -4451,7 +4455,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 27, "id": "civil-celebration", "metadata": {}, "outputs": [ @@ -4459,9 +4463,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "Optimal PEM capacity : 0.0007913396840620657 MW\n", - "Optimal tank capacity : 7.886671077145568e-06 kg\n", - "Optimal turbine capacity: 9.076514376699183e-05 MW\n" + "Optimal PEM capacity : 0.0007913315424667681 MW\n", + "Optimal tank capacity : 5.053569403508419e-06 kg\n", + "Optimal turbine capacity: 9.076112854379217e-05 MW\n" ] } ], @@ -4474,13 +4478,13 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 28, "id": "protecting-asthma", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", "text/plain": [ "
    " ] @@ -4510,7 +4514,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.15" + "version": "3.8.0" }, "vscode": { "interpreter": { From f6fe206d01b1a05827e40506acc6ae6e64fd7f9d Mon Sep 17 00:00:00 2001 From: Radhakrishna Date: Wed, 15 Mar 2023 21:41:10 -0400 Subject: [PATCH 23/29] Run Raven within Jupyter notebook --- ...od_design_pricetaker_wTEALandSynhist.ipynb | 29788 +++++++++++++++- dispatches/util/syn_hist_generation.py | 16 + dispatches/util/syn_hist_integration.py | 8 +- dispatches/util/teal_integration.py | 8 +- 4 files changed, 29501 insertions(+), 319 deletions(-) diff --git a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb index 62a0be412..5c18cb600 100644 --- a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb +++ b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb @@ -63,20 +63,7 @@ " pip install -r requirements-dev.txt\n", " pip install -r requirements-raven.txt\n", " ```\n", - "\n", - "### Training an ARMA Model\n", - "To train an ARMA model three things are needed:\n", - " 1. Training data sets (in the form of CSV files)\n", - " 2. a pointer to all the data sets (also a CSV with each requisite data file as a new row)\n", - " 3. a RAVEN XML input script with requirements for the model and a pointer to the training data sets\n", - "\n", - "(1) and (2) are provided in the dispatches sample-data repository. An example of (3) is found within this directory (#FIXME). To create the ARMA model, run the following steps in an open terminal:\n", - "\n", - " ```bash\n", - " # run RAVEN\n", - " raven_framework ARMA_train.xml\n", - " ```\n", - "\n", + " \n", "### Helpful Intermediate Classes\n", "In addition to RAVEN and TEAL, we have added two file to help interface between DISPATCHES and the RAVEN/TEAL toolset.\n", "These are found in the `dispatches/util` directory under:\n", @@ -193,7 +180,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "2023-03-10 17:30:56 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "2023-03-15 21:23:52 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", "Degrees of freedom: 0\n", "Ipopt 3.13.2: nlp_scaling_method=gradient-based\n", "tol=1e-06\n", @@ -263,7 +250,7 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.16742944717407227}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 215, 'Number of variables': 215, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 0.15090703964233398}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, "execution_count": 2, @@ -429,6 +416,29182 @@ "Also note that ARMA models occasionally go through minor structural changes; be sure to update RAVEN and retrain the ARMA model when such changes are implemented. Details and workshop examples on how to train an ARMA model can be found at: https://github.com/idaholab/raven/tree/devel/doc/workshop/ARMA. \n", "\n", "\n", + "### Training an ARMA Model\n", + "To train an ARMA model three things are needed:\n", + " 1. Training data sets (in the form of CSV files)\n", + " 2. a pointer to all the data sets (also a CSV with each requisite data file as a new row)\n", + " 3. a RAVEN XML input script with requirements for the model and a pointer to the training data sets\n", + "\n", + "An example of all the above three can be found within the ```\\ARMA_Model``` subdirectory. To create the ARMA model, run the following steps in an open terminal:\n", + "\n", + " ```bash\n", + " # run RAVEN\n", + " cd \n", + " raven_framework ARMA_train.xml\n", + " ```\n", + "\n", + "Alternatively, run the cell below." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "ba8bf390", + "metadata": {}, + "outputs": [], + "source": [ + "# Get the path to the ARMA_train.xml file\n", + "cwd = os.getcwd()\n", + "arma_xml_file = cwd + \"\\\\ARMA_Model\\\\ARMA_train.xml\"" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "1b805d86", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\matplotlib\\__init__.py:169: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n", + " if LooseVersion(module.__version__) < minver:\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\setuptools\\_distutils\\version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n", + " other = LooseVersion(other)\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\xarray\\core\\pycompat.py:37: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n", + " duck_array_version = LooseVersion(\"0.0.0\")\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\setuptools\\_distutils\\version.py:346: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n", + " other = LooseVersion(other)\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\xarray\\core\\npcompat.py:89: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n", + " if LooseVersion(np.__version__) >= \"1.20.0\":\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\xarray\\core\\pdcompat.py:45: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n", + " if LooseVersion(pd.__version__) < \"0.25.0\":\n", + "PySide2/__init__.py: Unable to import shiboken2 from C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\ray\\thirdparty_files, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\Scripts\\raven_framework.exe, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\python38.zip, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\DLLs, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages, c:\\users\\radhakrishna\\desktop\\code_repositories\\dispatches, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\win32, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\win32\\lib, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\Pythonwin, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\ravenframework, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\IPython\\extensions\n", + "PySide2/__init__.py: Unable to import shiboken2 from C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\ray\\thirdparty_files, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\Scripts\\raven_framework.exe, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\python38.zip, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\DLLs, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages, c:\\users\\radhakrishna\\desktop\\code_repositories\\dispatches, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\win32, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\win32\\lib, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\Pythonwin, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\ravenframework, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\IPython\\extensions\n", + "PySide2/__init__.py: Unable to import shiboken2 from C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\Lib\\site-packages\\AMSC, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\ray\\thirdparty_files, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\Scripts\\raven_framework.exe, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\python38.zip, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\DLLs, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages, c:\\users\\radhakrishna\\desktop\\code_repositories\\dispatches, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\win32, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\win32\\lib, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\Pythonwin, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\ravenframework, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\IPython\\extensions\n", + "PySide2/__init__.py: Unable to import shiboken2 from C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\Lib\\site-packages\\AMSC, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\ray\\thirdparty_files, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\Scripts\\raven_framework.exe, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\python38.zip, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\DLLs, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages, c:\\users\\radhakrishna\\desktop\\code_repositories\\dispatches, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\win32, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\win32\\lib, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\Pythonwin, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\ravenframework, C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\IPython\\extensions\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\xarray\\core\\pycompat.py:37: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead.\n", + " duck_array_version = LooseVersion(\"0.0.0\")\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\statsmodels\\tsa\\statespace\\sarimax.py:978: UserWarning: Non-invertible starting MA parameters found. Using zeros as starting parameters.\n", + " warn('Non-invertible starting MA parameters found.'\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\statsmodels\\tsa\\statespace\\sarimax.py:978: UserWarning: Non-invertible starting MA parameters found. Using zeros as starting parameters.\n", + " warn('Non-invertible starting MA parameters found.'\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n", + "C:\\Users\\Radhakrishna\\.conda\\envs\\teal-int-test\\lib\\site-packages\\sklearn\\linear_model\\_base.py:148: FutureWarning: 'normalize' was deprecated in version 1.0 and will be removed in 1.2. Please leave the normalize parameter to its default value to silence this warning. The default behavior of this estimator is to not do any normalization. If normalization is needed please use sklearn.preprocessing.StandardScaler instead.\n", + " warnings.warn(\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Copyright 2017 Battelle Energy Alliance, LLC\n", + "\n", + "Licensed under the Apache License, Version 2.0 (the \"License\");\n", + "you may not use this file except in compliance with the License.\n", + "You may obtain a copy of the License at\n", + "\n", + "http://www.apache.org/licenses/LICENSE-2.0\n", + "\n", + "Unless required by applicable law or agreed to in writing, software\n", + "distributed under the License is distributed on an \"AS IS\" BASIS,\n", + "WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n", + "See the License for the specific language governing permissions and\n", + "limitations under the License.\n", + " \n", + "\n", + "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n", + "\n", + " .---. .------###### ##### ### ### ######## ### ###\n", + " / \\ __ / --### ### ### ### ### ### ### ##### ###\n", + " / / \\( )/ --### ### ### ### ### ### ###### ### ######\n", + " ////// ' \\/ ` --####### ######### ### ### ### ### #####\n", + " //// / // : : -### ### ### ### ###### #### ### ####\n", + " // / / /` '---### ### ### ### ### ######## ### ###\n", + "// //..\\\\\n", + "===========UU====UU=============================================================\n", + " '//||\\\\`\n", + " ''``\n", + " \n", + "PluginFactory: No installed plugins detected.\n", + "( 0.01 sec) SIMULATION : Message -> Global verbosity level is \"debug\"\n", + "( 0.01 sec) SIMULATION : DEBUG -> -- Reading the block: Files --\n", + "( 0.01 sec) SIMULATION : DEBUG -> Reading class \"Input\" named \"input\" ...\n", + "( 0.01 sec) UserGenerated File : DEBUG -> ------Reading Completed for:\n", + "( 0.01 sec) UserGenerated File : DEBUG -> Class : UserGenerated from \n", + "( 0.01 sec) UserGenerated File : DEBUG -> Type : UserGenerated\n", + "( 0.01 sec) UserGenerated File : DEBUG -> Name : input\n", + "( 0.01 sec) UserGenerated File : DEBUG -> Initialization Parameters:\n", + "( 0.01 sec) UserGenerated File : DEBUG -> Current Setting:\n", + "( 0.01 sec) SIMULATION : DEBUG -> Reading class \"Input\" named \"pk\" ...\n", + "( 0.01 sec) UserGenerated File : DEBUG -> ------Reading Completed for:\n", + "( 0.01 sec) UserGenerated File : DEBUG -> Class : UserGenerated from \n", + "( 0.01 sec) UserGenerated File : DEBUG -> Type : UserGenerated\n", + "( 0.01 sec) UserGenerated File : DEBUG -> Name : pk\n", + "( 0.01 sec) UserGenerated File : DEBUG -> Initialization Parameters:\n", + "( 0.01 sec) UserGenerated File : DEBUG -> Current Setting:\n", + "( 0.01 sec) SIMULATION : DEBUG -> -- Reading the block: Steps --\n", + "( 0.01 sec) SIMULATION : DEBUG -> Reading class \"IOStep\" named \"load\" ...\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> move this tests to base class when it is ready for all the classes\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> ------Reading Completed for:\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Class : IOStep from \n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Type : IOStep\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Name : load\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Initialization Parameters:\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Sleep time : 0.005\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Initial seed : None\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Input : Class: Files Type: Global name: input\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Output : Class: OutStreams Type: Print Global name: test1\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Current Setting:\n", + "( 0.01 sec) SIMULATION : DEBUG -> Reading class \"RomTrainer\" named \"train\" ...\n", + "( 0.01 sec) STEP ROM TRAINER : DEBUG -> move this tests to base class when it is ready for all the classes\n", + "( 0.01 sec) STEP ROM TRAINER : DEBUG -> ------Reading Completed for:\n", + "( 0.01 sec) STEP ROM TRAINER : DEBUG -> Class : RomTrainer from \n", + "( 0.01 sec) STEP ROM TRAINER : DEBUG -> Type : RomTrainer\n", + "( 0.01 sec) STEP ROM TRAINER : DEBUG -> Name : train\n", + "( 0.01 sec) STEP ROM TRAINER : DEBUG -> Initialization Parameters:\n", + "( 0.01 sec) STEP ROM TRAINER : DEBUG -> Sleep time : 0.005\n", + "( 0.01 sec) STEP ROM TRAINER : DEBUG -> Initial seed : None\n", + "( 0.01 sec) STEP ROM TRAINER : DEBUG -> Input : Class: DataObjects Type: HistorySet Global name: input\n", + "( 0.01 sec) STEP ROM TRAINER : DEBUG -> Output : Class: Models Type: ROM Global name: arma\n", + "( 0.01 sec) STEP ROM TRAINER : DEBUG -> Current Setting:\n", + "( 0.01 sec) SIMULATION : DEBUG -> Reading class \"IOStep\" named \"meta\" ...\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> move this tests to base class when it is ready for all the classes\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> ------Reading Completed for:\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Class : IOStep from \n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Type : IOStep\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Name : meta\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Initialization Parameters:\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Sleep time : 0.005\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Initial seed : None\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Input : Class: Models Type: ROM Global name: arma\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Output : Class: OutStreams Type: Print Global name: romMeta\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Current Setting:\n", + "( 0.01 sec) SIMULATION : DEBUG -> Reading class \"IOStep\" named \"serialize\" ...\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> move this tests to base class when it is ready for all the classes\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> ------Reading Completed for:\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Class : IOStep from \n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Type : IOStep\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Name : serialize\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Initialization Parameters:\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Sleep time : 0.005\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Initial seed : None\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Input : Class: Models Type: ROM Global name: arma\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Output : Class: Files Type: Global name: pk\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Current Setting:\n", + "( 0.01 sec) SIMULATION : DEBUG -> Reading class \"MultiRun\" named \"sample\" ...\n", + "( 0.01 sec) STEP MULTIRUN : DEBUG -> move this tests to base class when it is ready for all the classes\n", + "( 0.01 sec) STEP MULTIRUN : DEBUG -> the mapping used in the model for checking the compatibility of usage should be more similar to self.parList to avoid the double mapping below FIXME\n", + "( 0.01 sec) STEP MULTIRUN : DEBUG -> reactivate check on Input as soon as loadCsv gets out from the PostProcessor models!\n", + "( 0.01 sec) STEP MULTIRUN : DEBUG -> ------Reading Completed for:\n", + "( 0.01 sec) STEP MULTIRUN : DEBUG -> Class : MultiRun from \n", + "( 0.01 sec) STEP MULTIRUN : DEBUG -> Type : MultiRun\n", + "( 0.01 sec) STEP MULTIRUN : DEBUG -> Name : sample\n", + "( 0.01 sec) STEP MULTIRUN : DEBUG -> Initialization Parameters:\n", + "( 0.01 sec) STEP MULTIRUN : DEBUG -> Sleep time : 0.005\n", + "( 0.01 sec) STEP MULTIRUN : DEBUG -> Initial seed : None\n", + "( 0.01 sec) STEP MULTIRUN : DEBUG -> Input : Class: DataObjects Type: PointSet Global name: placeholder\n", + "( 0.01 sec) STEP MULTIRUN : DEBUG -> Model : Class: Models Type: ROM Global name: arma\n", + "( 0.01 sec) STEP MULTIRUN : DEBUG -> Sampler : Class: Samplers Type: MonteCarlo Global name: mc\n", + "( 0.01 sec) STEP MULTIRUN : DEBUG -> Output : Class: OutStreams Type: Print Global name: synthetic\n", + "( 0.01 sec) STEP MULTIRUN : DEBUG -> Current Setting:\n", + "( 0.01 sec) SIMULATION : DEBUG -> Reading class \"IOStep\" named \"plotting\" ...\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> move this tests to base class when it is ready for all the classes\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> ------Reading Completed for:\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Class : IOStep from \n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Type : IOStep\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Name : plotting\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Initialization Parameters:\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Sleep time : 0.005\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Initial seed : None\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Input : Class: DataObjects Type: HistorySet Global name: synthetic\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Output : Class: OutStreams Type: Plot Global name: plotters\n", + "( 0.01 sec) STEP IOCOMBINED : DEBUG -> Current Setting:\n", + "( 0.01 sec) SIMULATION : DEBUG -> -- Reading the block: DataObjects --\n", + "( 0.01 sec) SIMULATION : DEBUG -> Reading class \"PointSet\" named \"placeholder\" ...\n", + "InputData: Using param spec \"DataSet\" to read XML node \"PointSet.\n", + "( 0.01 sec) PointSet : DEBUG -> ------Reading Completed for:\n", + "( 0.01 sec) PointSet : DEBUG -> Class : PointSet from \n", + "( 0.01 sec) PointSet : DEBUG -> Type : PointSet\n", + "( 0.01 sec) PointSet : DEBUG -> Name : placeholder\n", + "( 0.01 sec) PointSet : DEBUG -> Initialization Parameters:\n", + "( 0.01 sec) PointSet : DEBUG -> Current Setting:\n", + "( 0.01 sec) SIMULATION : DEBUG -> Reading class \"HistorySet\" named \"input\" ...\n", + "InputData: Using param spec \"DataSet\" to read XML node \"HistorySet.\n", + "( 0.01 sec) HistorySet : DEBUG -> ------Reading Completed for:\n", + "( 0.01 sec) HistorySet : DEBUG -> Class : HistorySet from \n", + "( 0.01 sec) HistorySet : DEBUG -> Type : HistorySet\n", + "( 0.01 sec) HistorySet : DEBUG -> Name : input\n", + "( 0.01 sec) HistorySet : DEBUG -> Initialization Parameters:\n", + "( 0.01 sec) HistorySet : DEBUG -> Current Setting:\n", + "( 0.01 sec) SIMULATION : DEBUG -> Reading class \"DataSet\" named \"synthetic\" ...\n", + "( 0.01 sec) DataSet : DEBUG -> ------Reading Completed for:\n", + "( 0.01 sec) DataSet : DEBUG -> Class : DataSet from \n", + "( 0.01 sec) DataSet : DEBUG -> Type : DataSet\n", + "( 0.01 sec) DataSet : DEBUG -> Name : synthetic\n", + "( 0.01 sec) DataSet : DEBUG -> Initialization Parameters:\n", + "( 0.01 sec) DataSet : DEBUG -> Current Setting:\n", + "( 0.01 sec) SIMULATION : DEBUG -> Reading class \"DataSet\" named \"meta\" ...\n", + "( 0.01 sec) DataSet : DEBUG -> ------Reading Completed for:\n", + "( 0.01 sec) DataSet : DEBUG -> Class : DataSet from \n", + "( 0.01 sec) DataSet : DEBUG -> Type : DataSet\n", + "( 0.01 sec) DataSet : DEBUG -> Name : meta\n", + "( 0.01 sec) DataSet : DEBUG -> Initialization Parameters:\n", + "( 0.01 sec) DataSet : DEBUG -> Current Setting:\n", + "( 0.01 sec) SIMULATION : DEBUG -> -- Reading the block: Models --\n", + "( 0.01 sec) SIMULATION : DEBUG -> Reading class \"ROM\" named \"arma\" ...\n", + "INPUT SPEC ERROR adding checked and unchecked to pivotParameter in ARMA len 1\n", + "INPUT SPEC ERROR adding checked and unchecked to alias in ROM len 1\n", + "INPUT SPEC ERROR adding checked and unchecked to pivotParameter in ROM len 1\n", + "INPUT SPEC ERROR adding checked and unchecked to Features in ROM len 1\n", + "INPUT SPEC ERROR adding checked and unchecked to Target in ROM len 1\n", + "INPUT SPEC ERROR adding checked and unchecked to CV in ROM len 1\n", + "INPUT SPEC ERROR adding checked and unchecked to pivotParameter in ARMA len 1\n", + "InputData: Using param spec \"ARMA\" to read XML node \"ROM.\n", + "( 0.01 sec) ARMA : DEBUG -> Setting ARMA seed to 42\n", + "( 0.01 sec) ARMA : DEBUG -> setting general Fourier settings for \"hour\"\n", + "( 0.01 sec) ARMA : DEBUG -> setting general Fourier settings for \"price\"\n", + "( 0.01 sec) Clustered ROM : DEBUG -> Clustered ROM evaluation mode set to \"full\"\n", + "( 0.01 sec) Clustered ROM : Message -> No evaluationClusterChoice specified for clustered ROM, so defaulting to \"first\".\n", + "( 0.01 sec) ROM MODEL : DEBUG -> ------Reading Completed for:\n", + "( 0.01 sec) ROM MODEL : DEBUG -> Class : ROM from \n", + "( 0.01 sec) ROM MODEL : DEBUG -> Type : ROM\n", + "( 0.01 sec) ROM MODEL : DEBUG -> Name : arma\n", + "( 0.01 sec) ROM MODEL : DEBUG -> Initialization Parameters:\n", + "( 0.01 sec) ROM MODEL : DEBUG -> returnType : \n", + "( 0.01 sec) ROM MODEL : DEBUG -> qualityEstType : []\n", + "( 0.01 sec) ROM MODEL : DEBUG -> Features : ['scaling']\n", + "( 0.01 sec) ROM MODEL : DEBUG -> Target : ['price', 'hour']\n", + "( 0.01 sec) ROM MODEL : DEBUG -> Current Setting:\n", + "( 0.01 sec) SIMULATION : DEBUG -> Reading class \"PostProcessor\" named \"classifier\" ...\n", + "InputData: Using param spec \"DataMining\" to read XML node \"PostProcessor.\n", + "( 0.17 sec) POSTPROCESSOR MODEL : DEBUG -> ------Reading Completed for:\n", + "( 0.17 sec) POSTPROCESSOR MODEL : DEBUG -> Class : PostProcessor from \n", + "( 0.17 sec) POSTPROCESSOR MODEL : DEBUG -> Type : PostProcessor\n", + "( 0.17 sec) POSTPROCESSOR MODEL : DEBUG -> Name : classifier\n", + "( 0.17 sec) POSTPROCESSOR MODEL : DEBUG -> Initialization Parameters:\n", + "( 0.17 sec) POSTPROCESSOR MODEL : DEBUG -> subType : DataMining\n", + "( 0.17 sec) POSTPROCESSOR MODEL : DEBUG -> Current Setting:\n", + "( 0.17 sec) SIMULATION : DEBUG -> -- Reading the block: OutStreams --\n", + "( 0.17 sec) SIMULATION : DEBUG -> Reading class \"Print\" named \"romMeta\" ...\n", + "( 0.17 sec) OUTSTREAM PRINT : DEBUG -> ------Reading Completed for:\n", + "( 0.17 sec) OUTSTREAM PRINT : DEBUG -> Class : FilePrint from \n", + "( 0.17 sec) OUTSTREAM PRINT : DEBUG -> Type : OutStreamFilePrint\n", + "( 0.17 sec) OUTSTREAM PRINT : DEBUG -> Name : romMeta\n", + "( 0.17 sec) OUTSTREAM PRINT : DEBUG -> Initialization Parameters:\n", + "( 0.17 sec) OUTSTREAM PRINT : DEBUG -> Current Setting:\n", + "( 0.17 sec) PrintEntity : DEBUG -> ------Reading Completed for:\n", + "( 0.17 sec) PrintEntity : DEBUG -> Class : Print from \n", + "( 0.17 sec) PrintEntity : DEBUG -> Type : Print\n", + "( 0.17 sec) PrintEntity : DEBUG -> Name : romMeta\n", + "( 0.17 sec) PrintEntity : DEBUG -> Initialization Parameters:\n", + "( 0.17 sec) PrintEntity : DEBUG -> Source Name 0 :: meta\n", + "( 0.17 sec) PrintEntity : DEBUG -> Current Setting:\n", + "( 0.17 sec) PrintEntity : DEBUG -> ------Reading Completed for:\n", + "( 0.17 sec) PrintEntity : DEBUG -> Class : Print from \n", + "( 0.17 sec) PrintEntity : DEBUG -> Type : Print\n", + "( 0.17 sec) PrintEntity : DEBUG -> Name : romMeta\n", + "( 0.17 sec) PrintEntity : DEBUG -> Initialization Parameters:\n", + "( 0.17 sec) PrintEntity : DEBUG -> Source Name 0 :: meta\n", + "( 0.17 sec) PrintEntity : DEBUG -> Current Setting:\n", + "( 0.17 sec) SIMULATION : DEBUG -> Reading class \"Print\" named \"test1\" ...\n", + "( 0.17 sec) OUTSTREAM PRINT : DEBUG -> ------Reading Completed for:\n", + "( 0.17 sec) OUTSTREAM PRINT : DEBUG -> Class : FilePrint from \n", + "( 0.17 sec) OUTSTREAM PRINT : DEBUG -> Type : OutStreamFilePrint\n", + "( 0.17 sec) OUTSTREAM PRINT : DEBUG -> Name : test1\n", + "( 0.17 sec) OUTSTREAM PRINT : DEBUG -> Initialization Parameters:\n", + "( 0.17 sec) OUTSTREAM PRINT : DEBUG -> Current Setting:\n", + "( 0.17 sec) PrintEntity : DEBUG -> ------Reading Completed for:\n", + "( 0.17 sec) PrintEntity : DEBUG -> Class : Print from \n", + "( 0.17 sec) PrintEntity : DEBUG -> Type : Print\n", + "( 0.17 sec) PrintEntity : DEBUG -> Name : test1\n", + "( 0.17 sec) PrintEntity : DEBUG -> Initialization Parameters:\n", + "( 0.17 sec) PrintEntity : DEBUG -> Source Name 0 :: input\n", + "( 0.17 sec) PrintEntity : DEBUG -> Current Setting:\n", + "( 0.17 sec) PrintEntity : DEBUG -> ------Reading Completed for:\n", + "( 0.17 sec) PrintEntity : DEBUG -> Class : Print from \n", + "( 0.17 sec) PrintEntity : DEBUG -> Type : Print\n", + "( 0.17 sec) PrintEntity : DEBUG -> Name : test1\n", + "( 0.17 sec) PrintEntity : DEBUG -> Initialization Parameters:\n", + "( 0.17 sec) PrintEntity : DEBUG -> Source Name 0 :: input\n", + "( 0.17 sec) PrintEntity : DEBUG -> Current Setting:\n", + "( 0.17 sec) SIMULATION : DEBUG -> Reading class \"Print\" named \"test2\" ...\n", + "( 0.17 sec) OUTSTREAM PRINT : DEBUG -> ------Reading Completed for:\n", + "( 0.17 sec) OUTSTREAM PRINT : DEBUG -> Class : FilePrint from \n", + "( 0.17 sec) OUTSTREAM PRINT : DEBUG -> Type : OutStreamFilePrint\n", + "( 0.17 sec) OUTSTREAM PRINT : DEBUG -> Name : test2\n", + "( 0.17 sec) OUTSTREAM PRINT : DEBUG -> Initialization Parameters:\n", + "( 0.17 sec) OUTSTREAM PRINT : DEBUG -> Current Setting:\n", + "( 0.17 sec) PrintEntity : DEBUG -> ------Reading Completed for:\n", + "( 0.17 sec) PrintEntity : DEBUG -> Class : Print from \n", + "( 0.17 sec) PrintEntity : DEBUG -> Type : Print\n", + "( 0.17 sec) PrintEntity : DEBUG -> Name : test2\n", + "( 0.17 sec) PrintEntity : DEBUG -> Initialization Parameters:\n", + "( 0.17 sec) PrintEntity : DEBUG -> Source Name 0 :: placeholder\n", + "( 0.17 sec) PrintEntity : DEBUG -> Current Setting:\n", + "( 0.17 sec) PrintEntity : DEBUG -> ------Reading Completed for:\n", + "( 0.17 sec) PrintEntity : DEBUG -> Class : Print from \n", + "( 0.17 sec) PrintEntity : DEBUG -> Type : Print\n", + "( 0.17 sec) PrintEntity : DEBUG -> Name : test2\n", + "( 0.17 sec) PrintEntity : DEBUG -> Initialization Parameters:\n", + "( 0.17 sec) PrintEntity : DEBUG -> Source Name 0 :: placeholder\n", + "( 0.17 sec) PrintEntity : DEBUG -> Current Setting:\n", + "( 0.17 sec) SIMULATION : DEBUG -> Reading class \"Print\" named \"synthetic\" ...\n", + "( 0.17 sec) OUTSTREAM PRINT : DEBUG -> ------Reading Completed for:\n", + "( 0.17 sec) OUTSTREAM PRINT : DEBUG -> Class : FilePrint from \n", + "( 0.17 sec) OUTSTREAM PRINT : DEBUG -> Type : OutStreamFilePrint\n", + "( 0.17 sec) OUTSTREAM PRINT : DEBUG -> Name : synthetic\n", + "( 0.17 sec) OUTSTREAM PRINT : DEBUG -> Initialization Parameters:\n", + "( 0.17 sec) OUTSTREAM PRINT : DEBUG -> Current Setting:\n", + "( 0.17 sec) PrintEntity : DEBUG -> ------Reading Completed for:\n", + "( 0.17 sec) PrintEntity : DEBUG -> Class : Print from \n", + "( 0.17 sec) PrintEntity : DEBUG -> Type : Print\n", + "( 0.17 sec) PrintEntity : DEBUG -> Name : synthetic\n", + "( 0.17 sec) PrintEntity : DEBUG -> Initialization Parameters:\n", + "( 0.17 sec) PrintEntity : DEBUG -> Source Name 0 :: synthetic\n", + "( 0.17 sec) PrintEntity : DEBUG -> Current Setting:\n", + "( 0.17 sec) PrintEntity : DEBUG -> ------Reading Completed for:\n", + "( 0.17 sec) PrintEntity : DEBUG -> Class : Print from \n", + "( 0.17 sec) PrintEntity : DEBUG -> Type : Print\n", + "( 0.17 sec) PrintEntity : DEBUG -> Name : synthetic\n", + "( 0.17 sec) PrintEntity : DEBUG -> Initialization Parameters:\n", + "( 0.17 sec) PrintEntity : DEBUG -> Source Name 0 :: synthetic\n", + "( 0.17 sec) PrintEntity : DEBUG -> Current Setting:\n", + "( 0.17 sec) SIMULATION : DEBUG -> Reading class \"Plot\" named \"plotters\" ...\n", + "( 0.17 sec) OptPath Plot : DEBUG -> ------Reading Completed for:\n", + "( 0.17 sec) OptPath Plot : DEBUG -> Class : SyntheticCloud from \n", + "( 0.17 sec) OptPath Plot : DEBUG -> Type : SyntheticCloud\n", + "( 0.17 sec) OptPath Plot : DEBUG -> Name : plotters\n", + "( 0.17 sec) OptPath Plot : DEBUG -> Initialization Parameters:\n", + "( 0.17 sec) OptPath Plot : DEBUG -> Global Class Type : Plotter\n", + "( 0.17 sec) OptPath Plot : DEBUG -> Specialized Class Type : SyntheticCloud\n", + "( 0.17 sec) OptPath Plot : DEBUG -> Overwrite output everytime called: True\n", + "( 0.17 sec) OptPath Plot : DEBUG -> Current Setting:\n", + "( 0.17 sec) PlotEntity : DEBUG -> ------Reading Completed for:\n", + "( 0.17 sec) PlotEntity : DEBUG -> Class : Plot from \n", + "( 0.17 sec) PlotEntity : DEBUG -> Type : Plot\n", + "( 0.17 sec) PlotEntity : DEBUG -> Name : plotters\n", + "( 0.17 sec) PlotEntity : DEBUG -> Initialization Parameters:\n", + "( 0.17 sec) PlotEntity : DEBUG -> Global Class Type : Plotter\n", + "( 0.17 sec) PlotEntity : DEBUG -> Specialized Class Type : SyntheticCloud\n", + "( 0.17 sec) PlotEntity : DEBUG -> Overwrite output everytime called: False\n", + "( 0.17 sec) PlotEntity : DEBUG -> Current Setting:\n", + "( 0.17 sec) PlotEntity : DEBUG -> ------Reading Completed for:\n", + "( 0.17 sec) PlotEntity : DEBUG -> Class : Plot from \n", + "( 0.17 sec) PlotEntity : DEBUG -> Type : Plot\n", + "( 0.17 sec) PlotEntity : DEBUG -> Name : plotters\n", + "( 0.17 sec) PlotEntity : DEBUG -> Initialization Parameters:\n", + "( 0.17 sec) PlotEntity : DEBUG -> Global Class Type : Plotter\n", + "( 0.17 sec) PlotEntity : DEBUG -> Specialized Class Type : SyntheticCloud\n", + "( 0.17 sec) PlotEntity : DEBUG -> Overwrite output everytime called: False\n", + "( 0.17 sec) PlotEntity : DEBUG -> Current Setting:\n", + "( 0.17 sec) SIMULATION : DEBUG -> -- Reading the block: Samplers --\n", + "( 0.17 sec) SIMULATION : DEBUG -> Reading class \"MonteCarlo\" named \"mc\" ...\n", + "( 0.17 sec) SAMPLER MONTECARLO : DEBUG -> ------Reading Completed for:\n", + "( 0.17 sec) SAMPLER MONTECARLO : DEBUG -> Class : MonteCarlo from \n", + "( 0.17 sec) SAMPLER MONTECARLO : DEBUG -> Type : MonteCarlo\n", + "( 0.17 sec) SAMPLER MONTECARLO : DEBUG -> Name : mc\n", + "( 0.17 sec) SAMPLER MONTECARLO : DEBUG -> Initialization Parameters:\n", + "( 0.17 sec) SAMPLER MONTECARLO : DEBUG -> limit : 1\n", + "( 0.17 sec) SAMPLER MONTECARLO : DEBUG -> initial seed : 42\n", + "( 0.17 sec) SAMPLER MONTECARLO : DEBUG -> Current Setting:\n", + "( 0.17 sec) SAMPLER MONTECARLO : DEBUG -> counter : 0\n", + "( 0.17 sec) SAMPLER MONTECARLO : DEBUG -> initial seed : 42\n", + "( 0.17 sec) SAMPLER MONTECARLO : DEBUG -> SampledVarsPb : {}\n", + "( 0.17 sec) SAMPLER MONTECARLO : DEBUG -> crowDist : {}\n", + "( 0.17 sec) SIMULATION : DEBUG -> Moving to working directory: c:\\Users\\Radhakrishna\\Desktop\\code_repositories\\dispatches\\dispatches\\case_studies\\nuclear_case\\ARMA_Model\\output\n", + "( 0.17 sec) Job Handler : DEBUG -> Setting maxQueueSize to 1\n", + "( 0.17 sec) Job Handler : DEBUG -> JobHandler initialized with threading\n", + "( 0.00 sec) SIMULATION : Message -> Simulation started at 2023-03-15 21:24:02\n", + "( 0.00 sec) SIMULATION : DEBUG -> entering the run\n", + "( 0.00 sec) SIMULATION : Message -> -- Beginning IOStep step \"load\" ... --\n", + "( 0.00 sec) STEP IOCOMBINED : Message -> *** Beginning initialization ***\n", + "( 0.00 sec) STEP IOCOMBINED : DEBUG -> jobHandler initialized\n", + "( 0.00 sec) STEP IOCOMBINED : DEBUG -> for the role Output the item of class Print and name test1 has been initialized\n", + "( 0.00 sec) STEP IOCOMBINED : Message -> *** Initialization done ***\n", + "( 0.00 sec) STEP IOCOMBINED : Message -> *** Beginning run ***\n", + "( 0.03 sec) CsvLoader : DEBUG -> Reading data from \"c:\\Users\\Radhakrishna\\Desktop\\code_repositories\\dispatches\\dispatches\\case_studies\\nuclear_case\\ARMA_Model\\ARMA_pointer_2018_2021_to2045.csv\"\n", + "( 0.04 sec) CsvLoader : DEBUG -> Reading data from \"c:\\Users\\Radhakrishna\\Desktop\\code_repositories\\dispatches\\dispatches\\case_studies\\nuclear_case\\ARMA_Model\\Price_2018.csv\"\n", + "( 0.05 sec) CsvLoader : DEBUG -> Reading data from \"c:\\Users\\Radhakrishna\\Desktop\\code_repositories\\dispatches\\dispatches\\case_studies\\nuclear_case\\ARMA_Model\\Price_2019.csv\"\n", + "( 0.05 sec) CsvLoader : DEBUG -> Reading data from \"c:\\Users\\Radhakrishna\\Desktop\\code_repositories\\dispatches\\dispatches\\case_studies\\nuclear_case\\ARMA_Model\\Price_2020.csv\"\n", + "( 0.05 sec) CsvLoader : DEBUG -> Reading data from \"c:\\Users\\Radhakrishna\\Desktop\\code_repositories\\dispatches\\dispatches\\case_studies\\nuclear_case\\ARMA_Model\\Price_2021.csv\"\n", + "( 0.06 sec) CsvLoader : DEBUG -> Reading data from \"c:\\Users\\Radhakrishna\\Desktop\\code_repositories\\dispatches\\dispatches\\case_studies\\nuclear_case\\ARMA_Model\\Price_2021.csv\"\n", + "( 0.07 sec) HistorySet : DEBUG -> Printing data to CSV: \"test1.csv\"\n", + "( 0.18 sec) HistorySet : DEBUG -> Printing metadata XML: \"test1.xml\"\n", + "( 0.18 sec) STEP IOCOMBINED : Message -> *** Run finished ***\n", + "( 0.18 sec) STEP IOCOMBINED : Message -> *** Closing the step ***\n", + "( 0.18 sec) STEP IOCOMBINED : Message -> *** Step closed ***\n", + "( 0.18 sec) SIMULATION : Message -> -- End step load of type: IOStep --\n", + "\n", + "( 0.18 sec) SIMULATION : Message -> -- Beginning RomTrainer step \"train\" ... --\n", + "( 0.18 sec) STEP ROM TRAINER : Message -> *** Beginning initialization ***\n", + "( 0.18 sec) STEP ROM TRAINER : DEBUG -> jobHandler initialized\n", + "( 0.18 sec) STEP ROM TRAINER : Message -> *** Initialization done ***\n", + "( 0.18 sec) STEP ROM TRAINER : Message -> *** Beginning run ***\n", + "( 0.18 sec) Interp. Cluster ROM : DEBUG -> Training Statepoint Year 0 ...\n", + "( 0.18 sec) Clustered ROM : DEBUG -> Training segmented subspaces for \"arma\" ...\n", + "( 0.19 sec) Clustered ROM : DEBUG -> Dividing hour into 365 divisions for training ...\n", + "DEBUGG no ZF here!\n", + "( 0.19 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 0.20 sec) Clustered ROM : DEBUG -> Training segment 0 slice(0, 24, None)\n", + "( 0.20 sec) ARMA : DEBUG -> Training...\n", + "( 0.20 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 0.20 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 0.20 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 0.20 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 0.20 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.12 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.12 sec) Clustered ROM : DEBUG -> Training segment 1 slice(24, 48, None)\n", + "( 1.12 sec) ARMA : DEBUG -> Training...\n", + "( 1.12 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.12 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.12 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.12 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.12 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.14 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.14 sec) Clustered ROM : DEBUG -> Training segment 2 slice(48, 72, None)\n", + "( 1.14 sec) ARMA : DEBUG -> Training...\n", + "( 1.14 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.14 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.14 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.14 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.14 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.17 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.17 sec) Clustered ROM : DEBUG -> Training segment 3 slice(72, 96, None)\n", + "( 1.17 sec) ARMA : DEBUG -> Training...\n", + "( 1.17 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.17 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.17 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.17 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.17 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.18 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.18 sec) Clustered ROM : DEBUG -> Training segment 4 slice(96, 120, None)\n", + "( 1.18 sec) ARMA : DEBUG -> Training...\n", + "( 1.18 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.18 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.18 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.18 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.18 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.20 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.20 sec) Clustered ROM : DEBUG -> Training segment 5 slice(120, 144, None)\n", + "( 1.20 sec) ARMA : DEBUG -> Training...\n", + "( 1.20 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.20 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.20 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.20 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.20 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.21 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.21 sec) Clustered ROM : DEBUG -> Training segment 6 slice(144, 168, None)\n", + "( 1.21 sec) ARMA : DEBUG -> Training...\n", + "( 1.21 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.21 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.21 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.21 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.21 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.22 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.22 sec) Clustered ROM : DEBUG -> Training segment 7 slice(168, 192, None)\n", + "( 1.22 sec) ARMA : DEBUG -> Training...\n", + "( 1.22 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.22 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.22 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.22 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.22 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.24 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.24 sec) Clustered ROM : DEBUG -> Training segment 8 slice(192, 216, None)\n", + "( 1.24 sec) ARMA : DEBUG -> Training...\n", + "( 1.24 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.24 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.24 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.24 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.24 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.27 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.27 sec) Clustered ROM : DEBUG -> Training segment 9 slice(216, 240, None)\n", + "( 1.27 sec) ARMA : DEBUG -> Training...\n", + "( 1.27 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.27 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.27 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.27 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.27 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.29 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.29 sec) Clustered ROM : DEBUG -> Training segment 10 slice(240, 264, None)\n", + "( 1.29 sec) ARMA : DEBUG -> Training...\n", + "( 1.29 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.29 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.29 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.29 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.29 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.33 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.33 sec) Clustered ROM : DEBUG -> Training segment 11 slice(264, 288, None)\n", + "( 1.33 sec) ARMA : DEBUG -> Training...\n", + "( 1.33 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.33 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.33 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.33 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.33 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.34 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.34 sec) Clustered ROM : DEBUG -> Training segment 12 slice(288, 312, None)\n", + "( 1.34 sec) ARMA : DEBUG -> Training...\n", + "( 1.34 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.34 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.34 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.34 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.34 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.38 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.38 sec) Clustered ROM : DEBUG -> Training segment 13 slice(312, 336, None)\n", + "( 1.38 sec) ARMA : DEBUG -> Training...\n", + "( 1.38 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.38 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.38 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.38 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.38 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.38 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.38 sec) Clustered ROM : DEBUG -> Training segment 14 slice(336, 360, None)\n", + "( 1.38 sec) ARMA : DEBUG -> Training...\n", + "( 1.38 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.38 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.38 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.38 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.38 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.40 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.40 sec) Clustered ROM : DEBUG -> Training segment 15 slice(360, 384, None)\n", + "( 1.40 sec) ARMA : DEBUG -> Training...\n", + "( 1.40 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.40 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.40 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.40 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.40 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.41 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.41 sec) Clustered ROM : DEBUG -> Training segment 16 slice(384, 408, None)\n", + "( 1.41 sec) ARMA : DEBUG -> Training...\n", + "( 1.41 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.41 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.41 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.41 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.41 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.42 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.42 sec) Clustered ROM : DEBUG -> Training segment 17 slice(408, 432, None)\n", + "( 1.42 sec) ARMA : DEBUG -> Training...\n", + "( 1.42 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.42 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.42 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.42 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.43 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.44 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.44 sec) Clustered ROM : DEBUG -> Training segment 18 slice(432, 456, None)\n", + "( 1.44 sec) ARMA : DEBUG -> Training...\n", + "( 1.44 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.44 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.44 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.44 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.44 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.45 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.45 sec) Clustered ROM : DEBUG -> Training segment 19 slice(456, 480, None)\n", + "( 1.45 sec) ARMA : DEBUG -> Training...\n", + "( 1.45 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.45 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.45 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.45 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.45 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.46 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.46 sec) Clustered ROM : DEBUG -> Training segment 20 slice(480, 504, None)\n", + "( 1.46 sec) ARMA : DEBUG -> Training...\n", + "( 1.46 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.46 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.46 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.47 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.47 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.47 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.47 sec) Clustered ROM : DEBUG -> Training segment 21 slice(504, 528, None)\n", + "( 1.47 sec) ARMA : DEBUG -> Training...\n", + "( 1.47 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.47 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.47 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.48 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.48 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.49 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.49 sec) Clustered ROM : DEBUG -> Training segment 22 slice(528, 552, None)\n", + "( 1.49 sec) ARMA : DEBUG -> Training...\n", + "( 1.49 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.49 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.49 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.49 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.49 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.50 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.50 sec) Clustered ROM : DEBUG -> Training segment 23 slice(552, 576, None)\n", + "( 1.50 sec) ARMA : DEBUG -> Training...\n", + "( 1.50 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.50 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.50 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.50 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.50 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.54 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.54 sec) Clustered ROM : DEBUG -> Training segment 24 slice(576, 600, None)\n", + "( 1.54 sec) ARMA : DEBUG -> Training...\n", + "( 1.54 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.54 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.54 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.54 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.54 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.55 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.55 sec) Clustered ROM : DEBUG -> Training segment 25 slice(600, 624, None)\n", + "( 1.55 sec) ARMA : DEBUG -> Training...\n", + "( 1.55 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.55 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.55 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.55 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.55 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.57 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.57 sec) Clustered ROM : DEBUG -> Training segment 26 slice(624, 648, None)\n", + "( 1.57 sec) ARMA : DEBUG -> Training...\n", + "( 1.57 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.57 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.57 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.57 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.57 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.58 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.58 sec) Clustered ROM : DEBUG -> Training segment 27 slice(648, 672, None)\n", + "( 1.58 sec) ARMA : DEBUG -> Training...\n", + "( 1.58 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.58 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.58 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.58 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.58 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.59 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.59 sec) Clustered ROM : DEBUG -> Training segment 28 slice(672, 696, None)\n", + "( 1.59 sec) ARMA : DEBUG -> Training...\n", + "( 1.59 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.59 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.59 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.59 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.59 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.60 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.60 sec) Clustered ROM : DEBUG -> Training segment 29 slice(696, 720, None)\n", + "( 1.60 sec) ARMA : DEBUG -> Training...\n", + "( 1.60 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.60 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.60 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.60 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.60 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.62 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.62 sec) Clustered ROM : DEBUG -> Training segment 30 slice(720, 744, None)\n", + "( 1.62 sec) ARMA : DEBUG -> Training...\n", + "( 1.62 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.62 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.62 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.62 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.62 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.62 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.62 sec) Clustered ROM : DEBUG -> Training segment 31 slice(744, 768, None)\n", + "( 1.62 sec) ARMA : DEBUG -> Training...\n", + "( 1.62 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.62 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.62 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.62 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.62 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.64 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.64 sec) Clustered ROM : DEBUG -> Training segment 32 slice(768, 792, None)\n", + "( 1.64 sec) ARMA : DEBUG -> Training...\n", + "( 1.64 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.64 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.64 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.64 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.64 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.66 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.66 sec) Clustered ROM : DEBUG -> Training segment 33 slice(792, 816, None)\n", + "( 1.66 sec) ARMA : DEBUG -> Training...\n", + "( 1.66 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.66 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.66 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.66 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.66 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.67 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.67 sec) Clustered ROM : DEBUG -> Training segment 34 slice(816, 840, None)\n", + "( 1.67 sec) ARMA : DEBUG -> Training...\n", + "( 1.67 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.67 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.67 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.67 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.67 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.68 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.68 sec) Clustered ROM : DEBUG -> Training segment 35 slice(840, 864, None)\n", + "( 1.68 sec) ARMA : DEBUG -> Training...\n", + "( 1.68 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.68 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.68 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.68 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.68 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.68 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.68 sec) Clustered ROM : DEBUG -> Training segment 36 slice(864, 888, None)\n", + "( 1.68 sec) ARMA : DEBUG -> Training...\n", + "( 1.68 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.68 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.68 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.68 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.69 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.70 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.70 sec) Clustered ROM : DEBUG -> Training segment 37 slice(888, 912, None)\n", + "( 1.70 sec) ARMA : DEBUG -> Training...\n", + "( 1.70 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.70 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.70 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.70 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.70 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.72 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.72 sec) Clustered ROM : DEBUG -> Training segment 38 slice(912, 936, None)\n", + "( 1.72 sec) ARMA : DEBUG -> Training...\n", + "( 1.72 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.72 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.72 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.72 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.72 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.74 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.74 sec) Clustered ROM : DEBUG -> Training segment 39 slice(936, 960, None)\n", + "( 1.74 sec) ARMA : DEBUG -> Training...\n", + "( 1.74 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.74 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.74 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.74 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.74 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.75 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.75 sec) Clustered ROM : DEBUG -> Training segment 40 slice(960, 984, None)\n", + "( 1.75 sec) ARMA : DEBUG -> Training...\n", + "( 1.75 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.75 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.75 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.75 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.75 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.76 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.76 sec) Clustered ROM : DEBUG -> Training segment 41 slice(984, 1008, None)\n", + "( 1.76 sec) ARMA : DEBUG -> Training...\n", + "( 1.76 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.76 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.76 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.77 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.77 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.78 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.78 sec) Clustered ROM : DEBUG -> Training segment 42 slice(1008, 1032, None)\n", + "( 1.78 sec) ARMA : DEBUG -> Training...\n", + "( 1.78 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.78 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.78 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.78 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.78 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.82 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.82 sec) Clustered ROM : DEBUG -> Training segment 43 slice(1032, 1056, None)\n", + "( 1.82 sec) ARMA : DEBUG -> Training...\n", + "( 1.82 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.82 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.82 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.83 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.83 sec) Clustered ROM : DEBUG -> Training segment 44 slice(1056, 1080, None)\n", + "( 1.83 sec) ARMA : DEBUG -> Training...\n", + "( 1.83 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.83 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.83 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.83 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.83 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.84 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.84 sec) Clustered ROM : DEBUG -> Training segment 45 slice(1080, 1104, None)\n", + "( 1.84 sec) ARMA : DEBUG -> Training...\n", + "( 1.84 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.84 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.84 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.84 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.84 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.86 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.86 sec) Clustered ROM : DEBUG -> Training segment 46 slice(1104, 1128, None)\n", + "( 1.86 sec) ARMA : DEBUG -> Training...\n", + "( 1.86 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.86 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.86 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.86 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.86 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.87 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.87 sec) Clustered ROM : DEBUG -> Training segment 47 slice(1128, 1152, None)\n", + "( 1.87 sec) ARMA : DEBUG -> Training...\n", + "( 1.87 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.87 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.87 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.87 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.87 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.88 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.88 sec) Clustered ROM : DEBUG -> Training segment 48 slice(1152, 1176, None)\n", + "( 1.88 sec) ARMA : DEBUG -> Training...\n", + "( 1.88 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.88 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.88 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.89 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.89 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.90 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.90 sec) Clustered ROM : DEBUG -> Training segment 49 slice(1176, 1200, None)\n", + "( 1.90 sec) ARMA : DEBUG -> Training...\n", + "( 1.90 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.90 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.90 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.90 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.90 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.91 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.91 sec) Clustered ROM : DEBUG -> Training segment 50 slice(1200, 1224, None)\n", + "( 1.91 sec) ARMA : DEBUG -> Training...\n", + "( 1.91 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.91 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.91 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.91 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.91 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.91 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.92 sec) Clustered ROM : DEBUG -> Training segment 51 slice(1224, 1248, None)\n", + "( 1.92 sec) ARMA : DEBUG -> Training...\n", + "( 1.92 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.92 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.92 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.92 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.92 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.95 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.95 sec) Clustered ROM : DEBUG -> Training segment 52 slice(1248, 1272, None)\n", + "( 1.95 sec) ARMA : DEBUG -> Training...\n", + "( 1.95 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.95 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.95 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.95 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.95 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.96 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.97 sec) Clustered ROM : DEBUG -> Training segment 53 slice(1272, 1296, None)\n", + "( 1.97 sec) ARMA : DEBUG -> Training...\n", + "( 1.97 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.97 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.97 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.97 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.97 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.97 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.97 sec) Clustered ROM : DEBUG -> Training segment 54 slice(1296, 1320, None)\n", + "( 1.97 sec) ARMA : DEBUG -> Training...\n", + "( 1.97 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.97 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.97 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.97 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.97 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.98 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.98 sec) Clustered ROM : DEBUG -> Training segment 55 slice(1320, 1344, None)\n", + "( 1.98 sec) ARMA : DEBUG -> Training...\n", + "( 1.98 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.98 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.98 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.98 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.98 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 1.99 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 1.99 sec) Clustered ROM : DEBUG -> Training segment 56 slice(1344, 1368, None)\n", + "( 1.99 sec) ARMA : DEBUG -> Training...\n", + "( 1.99 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 1.99 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 1.99 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 1.99 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 1.99 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.03 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.03 sec) Clustered ROM : DEBUG -> Training segment 57 slice(1368, 1392, None)\n", + "( 2.03 sec) ARMA : DEBUG -> Training...\n", + "( 2.03 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.03 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.03 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.03 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.03 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.07 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.07 sec) Clustered ROM : DEBUG -> Training segment 58 slice(1392, 1416, None)\n", + "( 2.07 sec) ARMA : DEBUG -> Training...\n", + "( 2.07 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.07 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.07 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.07 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.07 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.08 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.08 sec) Clustered ROM : DEBUG -> Training segment 59 slice(1416, 1440, None)\n", + "( 2.08 sec) ARMA : DEBUG -> Training...\n", + "( 2.08 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.08 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.08 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.08 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.08 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.11 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.11 sec) Clustered ROM : DEBUG -> Training segment 60 slice(1440, 1464, None)\n", + "( 2.11 sec) ARMA : DEBUG -> Training...\n", + "( 2.11 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.11 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.11 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.11 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.11 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.13 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.13 sec) Clustered ROM : DEBUG -> Training segment 61 slice(1464, 1488, None)\n", + "( 2.13 sec) ARMA : DEBUG -> Training...\n", + "( 2.13 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.13 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.13 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.13 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.13 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.14 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.14 sec) Clustered ROM : DEBUG -> Training segment 62 slice(1488, 1512, None)\n", + "( 2.14 sec) ARMA : DEBUG -> Training...\n", + "( 2.14 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.14 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.14 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.14 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.14 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.15 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.15 sec) Clustered ROM : DEBUG -> Training segment 63 slice(1512, 1536, None)\n", + "( 2.15 sec) ARMA : DEBUG -> Training...\n", + "( 2.15 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.15 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.15 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.15 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.16 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.16 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.16 sec) Clustered ROM : DEBUG -> Training segment 64 slice(1536, 1560, None)\n", + "( 2.16 sec) ARMA : DEBUG -> Training...\n", + "( 2.16 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.16 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.16 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.16 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.16 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.18 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.19 sec) Clustered ROM : DEBUG -> Training segment 65 slice(1560, 1584, None)\n", + "( 2.19 sec) ARMA : DEBUG -> Training...\n", + "( 2.19 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.19 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.19 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.19 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.19 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.22 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.22 sec) Clustered ROM : DEBUG -> Training segment 66 slice(1584, 1608, None)\n", + "( 2.22 sec) ARMA : DEBUG -> Training...\n", + "( 2.22 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.22 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.22 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.22 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.22 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.24 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.24 sec) Clustered ROM : DEBUG -> Training segment 67 slice(1608, 1632, None)\n", + "( 2.24 sec) ARMA : DEBUG -> Training...\n", + "( 2.24 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.24 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.24 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.24 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.24 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.25 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.25 sec) Clustered ROM : DEBUG -> Training segment 68 slice(1632, 1656, None)\n", + "( 2.25 sec) ARMA : DEBUG -> Training...\n", + "( 2.25 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.25 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.25 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.25 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.25 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.30 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.30 sec) Clustered ROM : DEBUG -> Training segment 69 slice(1656, 1680, None)\n", + "( 2.30 sec) ARMA : DEBUG -> Training...\n", + "( 2.30 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.30 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.30 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.30 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.30 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.31 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.31 sec) Clustered ROM : DEBUG -> Training segment 70 slice(1680, 1704, None)\n", + "( 2.31 sec) ARMA : DEBUG -> Training...\n", + "( 2.31 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.31 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.31 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.31 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.31 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.32 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.33 sec) Clustered ROM : DEBUG -> Training segment 71 slice(1704, 1728, None)\n", + "( 2.33 sec) ARMA : DEBUG -> Training...\n", + "( 2.33 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.33 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.33 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.33 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.33 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.34 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.34 sec) Clustered ROM : DEBUG -> Training segment 72 slice(1728, 1752, None)\n", + "( 2.34 sec) ARMA : DEBUG -> Training...\n", + "( 2.34 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.34 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.34 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.34 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.34 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.35 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.35 sec) Clustered ROM : DEBUG -> Training segment 73 slice(1752, 1776, None)\n", + "( 2.35 sec) ARMA : DEBUG -> Training...\n", + "( 2.35 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.35 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.35 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.35 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.35 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.37 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.37 sec) Clustered ROM : DEBUG -> Training segment 74 slice(1776, 1800, None)\n", + "( 2.37 sec) ARMA : DEBUG -> Training...\n", + "( 2.37 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.37 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.37 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.37 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.37 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.38 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.39 sec) Clustered ROM : DEBUG -> Training segment 75 slice(1800, 1824, None)\n", + "( 2.39 sec) ARMA : DEBUG -> Training...\n", + "( 2.39 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.39 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.39 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.39 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.39 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.39 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.40 sec) Clustered ROM : DEBUG -> Training segment 76 slice(1824, 1848, None)\n", + "( 2.40 sec) ARMA : DEBUG -> Training...\n", + "( 2.40 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.40 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.40 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.40 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.40 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.41 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.41 sec) Clustered ROM : DEBUG -> Training segment 77 slice(1848, 1872, None)\n", + "( 2.41 sec) ARMA : DEBUG -> Training...\n", + "( 2.41 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.41 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.41 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.41 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.41 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.43 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.43 sec) Clustered ROM : DEBUG -> Training segment 78 slice(1872, 1896, None)\n", + "( 2.43 sec) ARMA : DEBUG -> Training...\n", + "( 2.43 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.43 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.43 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.43 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.43 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.44 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.44 sec) Clustered ROM : DEBUG -> Training segment 79 slice(1896, 1920, None)\n", + "( 2.44 sec) ARMA : DEBUG -> Training...\n", + "( 2.44 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.44 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.44 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.44 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.44 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.45 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.45 sec) Clustered ROM : DEBUG -> Training segment 80 slice(1920, 1944, None)\n", + "( 2.45 sec) ARMA : DEBUG -> Training...\n", + "( 2.45 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.45 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.45 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.45 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.45 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.46 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.46 sec) Clustered ROM : DEBUG -> Training segment 81 slice(1944, 1968, None)\n", + "( 2.46 sec) ARMA : DEBUG -> Training...\n", + "( 2.46 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.46 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.46 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.46 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.46 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.47 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.47 sec) Clustered ROM : DEBUG -> Training segment 82 slice(1968, 1992, None)\n", + "( 2.47 sec) ARMA : DEBUG -> Training...\n", + "( 2.47 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.47 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.47 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.47 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.47 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.49 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.49 sec) Clustered ROM : DEBUG -> Training segment 83 slice(1992, 2016, None)\n", + "( 2.49 sec) ARMA : DEBUG -> Training...\n", + "( 2.49 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.49 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.49 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.49 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.49 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.50 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.50 sec) Clustered ROM : DEBUG -> Training segment 84 slice(2016, 2040, None)\n", + "( 2.50 sec) ARMA : DEBUG -> Training...\n", + "( 2.50 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.50 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.50 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.50 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.50 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.50 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.50 sec) Clustered ROM : DEBUG -> Training segment 85 slice(2040, 2064, None)\n", + "( 2.50 sec) ARMA : DEBUG -> Training...\n", + "( 2.50 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.50 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.50 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.50 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.50 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.51 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.51 sec) Clustered ROM : DEBUG -> Training segment 86 slice(2064, 2088, None)\n", + "( 2.51 sec) ARMA : DEBUG -> Training...\n", + "( 2.51 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.51 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.51 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.51 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.52 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.53 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.53 sec) Clustered ROM : DEBUG -> Training segment 87 slice(2088, 2112, None)\n", + "( 2.53 sec) ARMA : DEBUG -> Training...\n", + "( 2.53 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.53 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.53 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.53 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.53 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.54 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.55 sec) Clustered ROM : DEBUG -> Training segment 88 slice(2112, 2136, None)\n", + "( 2.55 sec) ARMA : DEBUG -> Training...\n", + "( 2.55 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.55 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.55 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.55 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.55 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.57 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.57 sec) Clustered ROM : DEBUG -> Training segment 89 slice(2136, 2160, None)\n", + "( 2.57 sec) ARMA : DEBUG -> Training...\n", + "( 2.57 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.57 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.57 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.57 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.57 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.57 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.57 sec) Clustered ROM : DEBUG -> Training segment 90 slice(2160, 2184, None)\n", + "( 2.57 sec) ARMA : DEBUG -> Training...\n", + "( 2.57 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.57 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.57 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.57 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.57 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.59 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.59 sec) Clustered ROM : DEBUG -> Training segment 91 slice(2184, 2208, None)\n", + "( 2.59 sec) ARMA : DEBUG -> Training...\n", + "( 2.59 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.59 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.59 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.59 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.59 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.60 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.60 sec) Clustered ROM : DEBUG -> Training segment 92 slice(2208, 2232, None)\n", + "( 2.60 sec) ARMA : DEBUG -> Training...\n", + "( 2.60 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.60 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.60 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.60 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.60 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.61 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.62 sec) Clustered ROM : DEBUG -> Training segment 93 slice(2232, 2256, None)\n", + "( 2.62 sec) ARMA : DEBUG -> Training...\n", + "( 2.62 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.62 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.62 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.62 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.62 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.64 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.64 sec) Clustered ROM : DEBUG -> Training segment 94 slice(2256, 2280, None)\n", + "( 2.64 sec) ARMA : DEBUG -> Training...\n", + "( 2.64 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.64 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.65 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.65 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.65 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.66 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.66 sec) Clustered ROM : DEBUG -> Training segment 95 slice(2280, 2304, None)\n", + "( 2.66 sec) ARMA : DEBUG -> Training...\n", + "( 2.66 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.66 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.66 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.66 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.66 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.67 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.67 sec) Clustered ROM : DEBUG -> Training segment 96 slice(2304, 2328, None)\n", + "( 2.67 sec) ARMA : DEBUG -> Training...\n", + "( 2.67 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.67 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.67 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.67 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.67 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.68 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.68 sec) Clustered ROM : DEBUG -> Training segment 97 slice(2328, 2352, None)\n", + "( 2.68 sec) ARMA : DEBUG -> Training...\n", + "( 2.68 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.68 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.68 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.68 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.68 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.69 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.69 sec) Clustered ROM : DEBUG -> Training segment 98 slice(2352, 2376, None)\n", + "( 2.69 sec) ARMA : DEBUG -> Training...\n", + "( 2.69 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.69 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.69 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.70 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.70 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.71 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.71 sec) Clustered ROM : DEBUG -> Training segment 99 slice(2376, 2400, None)\n", + "( 2.71 sec) ARMA : DEBUG -> Training...\n", + "( 2.71 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.71 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.71 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.71 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.71 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.72 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.72 sec) Clustered ROM : DEBUG -> Training segment 100 slice(2400, 2424, None)\n", + "( 2.72 sec) ARMA : DEBUG -> Training...\n", + "( 2.72 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.72 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.72 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.72 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.72 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.75 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.75 sec) Clustered ROM : DEBUG -> Training segment 101 slice(2424, 2448, None)\n", + "( 2.75 sec) ARMA : DEBUG -> Training...\n", + "( 2.75 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.75 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.75 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.75 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.75 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.76 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.76 sec) Clustered ROM : DEBUG -> Training segment 102 slice(2448, 2472, None)\n", + "( 2.76 sec) ARMA : DEBUG -> Training...\n", + "( 2.76 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.76 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.76 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.76 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.76 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.77 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.77 sec) Clustered ROM : DEBUG -> Training segment 103 slice(2472, 2496, None)\n", + "( 2.77 sec) ARMA : DEBUG -> Training...\n", + "( 2.77 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.77 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.77 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.77 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.77 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.78 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.79 sec) Clustered ROM : DEBUG -> Training segment 104 slice(2496, 2520, None)\n", + "( 2.79 sec) ARMA : DEBUG -> Training...\n", + "( 2.79 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.79 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.79 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.79 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.79 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.79 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.80 sec) Clustered ROM : DEBUG -> Training segment 105 slice(2520, 2544, None)\n", + "( 2.80 sec) ARMA : DEBUG -> Training...\n", + "( 2.80 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.80 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.80 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.80 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.80 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.81 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.81 sec) Clustered ROM : DEBUG -> Training segment 106 slice(2544, 2568, None)\n", + "( 2.81 sec) ARMA : DEBUG -> Training...\n", + "( 2.81 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.81 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.81 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.81 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.81 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.82 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.82 sec) Clustered ROM : DEBUG -> Training segment 107 slice(2568, 2592, None)\n", + "( 2.82 sec) ARMA : DEBUG -> Training...\n", + "( 2.82 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.82 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.82 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.84 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.84 sec) Clustered ROM : DEBUG -> Training segment 108 slice(2592, 2616, None)\n", + "( 2.84 sec) ARMA : DEBUG -> Training...\n", + "( 2.84 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.84 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.84 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.84 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.84 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.85 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.85 sec) Clustered ROM : DEBUG -> Training segment 109 slice(2616, 2640, None)\n", + "( 2.85 sec) ARMA : DEBUG -> Training...\n", + "( 2.85 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.85 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.85 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.85 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.85 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.86 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.86 sec) Clustered ROM : DEBUG -> Training segment 110 slice(2640, 2664, None)\n", + "( 2.86 sec) ARMA : DEBUG -> Training...\n", + "( 2.86 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.86 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.86 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.86 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.86 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.87 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.87 sec) Clustered ROM : DEBUG -> Training segment 111 slice(2664, 2688, None)\n", + "( 2.87 sec) ARMA : DEBUG -> Training...\n", + "( 2.87 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.87 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.87 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.87 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.87 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.89 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.89 sec) Clustered ROM : DEBUG -> Training segment 112 slice(2688, 2712, None)\n", + "( 2.89 sec) ARMA : DEBUG -> Training...\n", + "( 2.89 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.89 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.89 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.89 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.89 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.90 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.90 sec) Clustered ROM : DEBUG -> Training segment 113 slice(2712, 2736, None)\n", + "( 2.90 sec) ARMA : DEBUG -> Training...\n", + "( 2.90 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.90 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.90 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.90 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.90 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.92 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.92 sec) Clustered ROM : DEBUG -> Training segment 114 slice(2736, 2760, None)\n", + "( 2.92 sec) ARMA : DEBUG -> Training...\n", + "( 2.92 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.92 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.92 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.92 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.92 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.93 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.93 sec) Clustered ROM : DEBUG -> Training segment 115 slice(2760, 2784, None)\n", + "( 2.93 sec) ARMA : DEBUG -> Training...\n", + "( 2.93 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.93 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.93 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.93 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.93 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.94 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.94 sec) Clustered ROM : DEBUG -> Training segment 116 slice(2784, 2808, None)\n", + "( 2.94 sec) ARMA : DEBUG -> Training...\n", + "( 2.94 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.94 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.94 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.94 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.94 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.95 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.95 sec) Clustered ROM : DEBUG -> Training segment 117 slice(2808, 2832, None)\n", + "( 2.95 sec) ARMA : DEBUG -> Training...\n", + "( 2.95 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.95 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.95 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.96 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.96 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.97 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.97 sec) Clustered ROM : DEBUG -> Training segment 118 slice(2832, 2856, None)\n", + "( 2.97 sec) ARMA : DEBUG -> Training...\n", + "( 2.97 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.97 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.97 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.97 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.97 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 2.99 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 2.99 sec) Clustered ROM : DEBUG -> Training segment 119 slice(2856, 2880, None)\n", + "( 2.99 sec) ARMA : DEBUG -> Training...\n", + "( 2.99 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 2.99 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 2.99 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 2.99 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 2.99 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.00 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.00 sec) Clustered ROM : DEBUG -> Training segment 120 slice(2880, 2904, None)\n", + "( 3.00 sec) ARMA : DEBUG -> Training...\n", + "( 3.00 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.00 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.00 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.00 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.00 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.01 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.01 sec) Clustered ROM : DEBUG -> Training segment 121 slice(2904, 2928, None)\n", + "( 3.01 sec) ARMA : DEBUG -> Training...\n", + "( 3.01 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.01 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.01 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.01 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.01 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.02 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.02 sec) Clustered ROM : DEBUG -> Training segment 122 slice(2928, 2952, None)\n", + "( 3.02 sec) ARMA : DEBUG -> Training...\n", + "( 3.02 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.02 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.02 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.02 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.02 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.03 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.03 sec) Clustered ROM : DEBUG -> Training segment 123 slice(2952, 2976, None)\n", + "( 3.03 sec) ARMA : DEBUG -> Training...\n", + "( 3.03 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.03 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.03 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.03 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.03 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.05 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.05 sec) Clustered ROM : DEBUG -> Training segment 124 slice(2976, 3000, None)\n", + "( 3.05 sec) ARMA : DEBUG -> Training...\n", + "( 3.05 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.05 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.05 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.05 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.05 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.07 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.07 sec) Clustered ROM : DEBUG -> Training segment 125 slice(3000, 3024, None)\n", + "( 3.07 sec) ARMA : DEBUG -> Training...\n", + "( 3.07 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.07 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.07 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.07 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.07 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.07 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.07 sec) Clustered ROM : DEBUG -> Training segment 126 slice(3024, 3048, None)\n", + "( 3.07 sec) ARMA : DEBUG -> Training...\n", + "( 3.07 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.07 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.07 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.07 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.07 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.08 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.08 sec) Clustered ROM : DEBUG -> Training segment 127 slice(3048, 3072, None)\n", + "( 3.08 sec) ARMA : DEBUG -> Training...\n", + "( 3.08 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.08 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.08 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.08 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.08 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.10 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.10 sec) Clustered ROM : DEBUG -> Training segment 128 slice(3072, 3096, None)\n", + "( 3.10 sec) ARMA : DEBUG -> Training...\n", + "( 3.10 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.10 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.10 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.10 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.10 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.13 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.13 sec) Clustered ROM : DEBUG -> Training segment 129 slice(3096, 3120, None)\n", + "( 3.13 sec) ARMA : DEBUG -> Training...\n", + "( 3.13 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.13 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.13 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.13 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.13 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.15 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.15 sec) Clustered ROM : DEBUG -> Training segment 130 slice(3120, 3144, None)\n", + "( 3.15 sec) ARMA : DEBUG -> Training...\n", + "( 3.15 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.15 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.15 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.15 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.15 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.16 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.17 sec) Clustered ROM : DEBUG -> Training segment 131 slice(3144, 3168, None)\n", + "( 3.17 sec) ARMA : DEBUG -> Training...\n", + "( 3.17 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.17 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.17 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.17 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.17 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.17 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.18 sec) Clustered ROM : DEBUG -> Training segment 132 slice(3168, 3192, None)\n", + "( 3.18 sec) ARMA : DEBUG -> Training...\n", + "( 3.18 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.18 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.18 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.18 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.18 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.20 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.21 sec) Clustered ROM : DEBUG -> Training segment 133 slice(3192, 3216, None)\n", + "( 3.21 sec) ARMA : DEBUG -> Training...\n", + "( 3.21 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.21 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.21 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.21 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.21 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.22 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.22 sec) Clustered ROM : DEBUG -> Training segment 134 slice(3216, 3240, None)\n", + "( 3.22 sec) ARMA : DEBUG -> Training...\n", + "( 3.22 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.22 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.22 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.22 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.22 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.24 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.24 sec) Clustered ROM : DEBUG -> Training segment 135 slice(3240, 3264, None)\n", + "( 3.24 sec) ARMA : DEBUG -> Training...\n", + "( 3.24 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.24 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.24 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.24 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.24 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.25 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.25 sec) Clustered ROM : DEBUG -> Training segment 136 slice(3264, 3288, None)\n", + "( 3.25 sec) ARMA : DEBUG -> Training...\n", + "( 3.25 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.25 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.25 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.25 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.25 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.26 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.26 sec) Clustered ROM : DEBUG -> Training segment 137 slice(3288, 3312, None)\n", + "( 3.26 sec) ARMA : DEBUG -> Training...\n", + "( 3.26 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.26 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.26 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.26 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.26 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.28 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.28 sec) Clustered ROM : DEBUG -> Training segment 138 slice(3312, 3336, None)\n", + "( 3.28 sec) ARMA : DEBUG -> Training...\n", + "( 3.28 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.28 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.28 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.28 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.28 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.29 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.29 sec) Clustered ROM : DEBUG -> Training segment 139 slice(3336, 3360, None)\n", + "( 3.29 sec) ARMA : DEBUG -> Training...\n", + "( 3.29 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.29 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.29 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.29 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.29 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.30 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.30 sec) Clustered ROM : DEBUG -> Training segment 140 slice(3360, 3384, None)\n", + "( 3.30 sec) ARMA : DEBUG -> Training...\n", + "( 3.30 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.30 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.30 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.31 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.31 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.32 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.32 sec) Clustered ROM : DEBUG -> Training segment 141 slice(3384, 3408, None)\n", + "( 3.32 sec) ARMA : DEBUG -> Training...\n", + "( 3.32 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.32 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.32 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.32 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.32 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.33 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.33 sec) Clustered ROM : DEBUG -> Training segment 142 slice(3408, 3432, None)\n", + "( 3.33 sec) ARMA : DEBUG -> Training...\n", + "( 3.33 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.33 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.33 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.33 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.33 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.34 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.34 sec) Clustered ROM : DEBUG -> Training segment 143 slice(3432, 3456, None)\n", + "( 3.34 sec) ARMA : DEBUG -> Training...\n", + "( 3.34 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.34 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.34 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.34 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.34 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.36 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.36 sec) Clustered ROM : DEBUG -> Training segment 144 slice(3456, 3480, None)\n", + "( 3.36 sec) ARMA : DEBUG -> Training...\n", + "( 3.36 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.36 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.36 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.36 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.36 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.37 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.37 sec) Clustered ROM : DEBUG -> Training segment 145 slice(3480, 3504, None)\n", + "( 3.37 sec) ARMA : DEBUG -> Training...\n", + "( 3.37 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.37 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.37 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.37 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.37 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.38 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.38 sec) Clustered ROM : DEBUG -> Training segment 146 slice(3504, 3528, None)\n", + "( 3.38 sec) ARMA : DEBUG -> Training...\n", + "( 3.38 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.38 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.38 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.38 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.38 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.39 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.39 sec) Clustered ROM : DEBUG -> Training segment 147 slice(3528, 3552, None)\n", + "( 3.39 sec) ARMA : DEBUG -> Training...\n", + "( 3.39 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.39 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.39 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.39 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.39 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.42 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.42 sec) Clustered ROM : DEBUG -> Training segment 148 slice(3552, 3576, None)\n", + "( 3.42 sec) ARMA : DEBUG -> Training...\n", + "( 3.42 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.42 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.42 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.43 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.43 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.44 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.44 sec) Clustered ROM : DEBUG -> Training segment 149 slice(3576, 3600, None)\n", + "( 3.44 sec) ARMA : DEBUG -> Training...\n", + "( 3.44 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.44 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.44 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.44 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.44 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.45 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.45 sec) Clustered ROM : DEBUG -> Training segment 150 slice(3600, 3624, None)\n", + "( 3.45 sec) ARMA : DEBUG -> Training...\n", + "( 3.45 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.45 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.45 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.45 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.45 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.49 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.49 sec) Clustered ROM : DEBUG -> Training segment 151 slice(3624, 3648, None)\n", + "( 3.49 sec) ARMA : DEBUG -> Training...\n", + "( 3.49 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.49 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.49 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.49 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.49 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.50 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.50 sec) Clustered ROM : DEBUG -> Training segment 152 slice(3648, 3672, None)\n", + "( 3.50 sec) ARMA : DEBUG -> Training...\n", + "( 3.50 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.50 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.50 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.50 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.50 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.51 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.51 sec) Clustered ROM : DEBUG -> Training segment 153 slice(3672, 3696, None)\n", + "( 3.51 sec) ARMA : DEBUG -> Training...\n", + "( 3.51 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.51 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.51 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.51 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.51 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.53 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.53 sec) Clustered ROM : DEBUG -> Training segment 154 slice(3696, 3720, None)\n", + "( 3.53 sec) ARMA : DEBUG -> Training...\n", + "( 3.53 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.53 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.53 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.53 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.53 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.53 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.53 sec) Clustered ROM : DEBUG -> Training segment 155 slice(3720, 3744, None)\n", + "( 3.53 sec) ARMA : DEBUG -> Training...\n", + "( 3.53 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.53 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.53 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.53 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.53 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.57 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.57 sec) Clustered ROM : DEBUG -> Training segment 156 slice(3744, 3768, None)\n", + "( 3.57 sec) ARMA : DEBUG -> Training...\n", + "( 3.57 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.57 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.57 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.57 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.57 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.58 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.58 sec) Clustered ROM : DEBUG -> Training segment 157 slice(3768, 3792, None)\n", + "( 3.58 sec) ARMA : DEBUG -> Training...\n", + "( 3.58 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.58 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.58 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.58 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.58 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.60 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.60 sec) Clustered ROM : DEBUG -> Training segment 158 slice(3792, 3816, None)\n", + "( 3.60 sec) ARMA : DEBUG -> Training...\n", + "( 3.60 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.60 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.60 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.60 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.60 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.61 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.61 sec) Clustered ROM : DEBUG -> Training segment 159 slice(3816, 3840, None)\n", + "( 3.61 sec) ARMA : DEBUG -> Training...\n", + "( 3.61 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.61 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.61 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.62 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.62 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.65 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.65 sec) Clustered ROM : DEBUG -> Training segment 160 slice(3840, 3864, None)\n", + "( 3.65 sec) ARMA : DEBUG -> Training...\n", + "( 3.65 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.65 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.65 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.65 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.65 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.66 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.66 sec) Clustered ROM : DEBUG -> Training segment 161 slice(3864, 3888, None)\n", + "( 3.66 sec) ARMA : DEBUG -> Training...\n", + "( 3.66 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.66 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.66 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.66 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.66 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.68 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.68 sec) Clustered ROM : DEBUG -> Training segment 162 slice(3888, 3912, None)\n", + "( 3.68 sec) ARMA : DEBUG -> Training...\n", + "( 3.68 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.68 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.68 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.68 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.68 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.69 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.69 sec) Clustered ROM : DEBUG -> Training segment 163 slice(3912, 3936, None)\n", + "( 3.69 sec) ARMA : DEBUG -> Training...\n", + "( 3.69 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.69 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.69 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.69 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.69 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.72 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.72 sec) Clustered ROM : DEBUG -> Training segment 164 slice(3936, 3960, None)\n", + "( 3.72 sec) ARMA : DEBUG -> Training...\n", + "( 3.72 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.72 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.72 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.72 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.72 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.73 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.73 sec) Clustered ROM : DEBUG -> Training segment 165 slice(3960, 3984, None)\n", + "( 3.73 sec) ARMA : DEBUG -> Training...\n", + "( 3.73 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.73 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.73 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.73 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.73 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.74 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.74 sec) Clustered ROM : DEBUG -> Training segment 166 slice(3984, 4008, None)\n", + "( 3.74 sec) ARMA : DEBUG -> Training...\n", + "( 3.74 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.74 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.74 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.74 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.74 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.75 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.75 sec) Clustered ROM : DEBUG -> Training segment 167 slice(4008, 4032, None)\n", + "( 3.75 sec) ARMA : DEBUG -> Training...\n", + "( 3.75 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.75 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.75 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.75 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.75 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.77 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.77 sec) Clustered ROM : DEBUG -> Training segment 168 slice(4032, 4056, None)\n", + "( 3.77 sec) ARMA : DEBUG -> Training...\n", + "( 3.77 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.77 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.77 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.77 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.77 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.79 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.79 sec) Clustered ROM : DEBUG -> Training segment 169 slice(4056, 4080, None)\n", + "( 3.79 sec) ARMA : DEBUG -> Training...\n", + "( 3.79 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.79 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.79 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.79 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.79 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.82 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.82 sec) Clustered ROM : DEBUG -> Training segment 170 slice(4080, 4104, None)\n", + "( 3.82 sec) ARMA : DEBUG -> Training...\n", + "( 3.82 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.82 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.82 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.83 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.83 sec) Clustered ROM : DEBUG -> Training segment 171 slice(4104, 4128, None)\n", + "( 3.83 sec) ARMA : DEBUG -> Training...\n", + "( 3.83 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.83 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.83 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.83 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.83 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.84 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.84 sec) Clustered ROM : DEBUG -> Training segment 172 slice(4128, 4152, None)\n", + "( 3.84 sec) ARMA : DEBUG -> Training...\n", + "( 3.84 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.84 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.84 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.84 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.84 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.85 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.85 sec) Clustered ROM : DEBUG -> Training segment 173 slice(4152, 4176, None)\n", + "( 3.85 sec) ARMA : DEBUG -> Training...\n", + "( 3.85 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.85 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.86 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.86 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.86 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.87 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.87 sec) Clustered ROM : DEBUG -> Training segment 174 slice(4176, 4200, None)\n", + "( 3.87 sec) ARMA : DEBUG -> Training...\n", + "( 3.87 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.87 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.87 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.87 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.87 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.88 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.88 sec) Clustered ROM : DEBUG -> Training segment 175 slice(4200, 4224, None)\n", + "( 3.88 sec) ARMA : DEBUG -> Training...\n", + "( 3.88 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.88 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.88 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.88 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.88 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.90 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.90 sec) Clustered ROM : DEBUG -> Training segment 176 slice(4224, 4248, None)\n", + "( 3.90 sec) ARMA : DEBUG -> Training...\n", + "( 3.90 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.90 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.90 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.90 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.90 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.94 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.94 sec) Clustered ROM : DEBUG -> Training segment 177 slice(4248, 4272, None)\n", + "( 3.94 sec) ARMA : DEBUG -> Training...\n", + "( 3.94 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.94 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.94 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.94 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.94 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.98 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.98 sec) Clustered ROM : DEBUG -> Training segment 178 slice(4272, 4296, None)\n", + "( 3.98 sec) ARMA : DEBUG -> Training...\n", + "( 3.98 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.98 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.98 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.98 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.98 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 3.99 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 3.99 sec) Clustered ROM : DEBUG -> Training segment 179 slice(4296, 4320, None)\n", + "( 3.99 sec) ARMA : DEBUG -> Training...\n", + "( 3.99 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 3.99 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 3.99 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 3.99 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 3.99 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.00 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.00 sec) Clustered ROM : DEBUG -> Training segment 180 slice(4320, 4344, None)\n", + "( 4.00 sec) ARMA : DEBUG -> Training...\n", + "( 4.00 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.00 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.00 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.00 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.00 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.04 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.04 sec) Clustered ROM : DEBUG -> Training segment 181 slice(4344, 4368, None)\n", + "( 4.04 sec) ARMA : DEBUG -> Training...\n", + "( 4.04 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.04 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.04 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.04 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.04 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.05 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.05 sec) Clustered ROM : DEBUG -> Training segment 182 slice(4368, 4392, None)\n", + "( 4.05 sec) ARMA : DEBUG -> Training...\n", + "( 4.05 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.05 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.05 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.05 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.05 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.06 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.06 sec) Clustered ROM : DEBUG -> Training segment 183 slice(4392, 4416, None)\n", + "( 4.06 sec) ARMA : DEBUG -> Training...\n", + "( 4.06 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.06 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.06 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.06 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.06 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.08 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.08 sec) Clustered ROM : DEBUG -> Training segment 184 slice(4416, 4440, None)\n", + "( 4.08 sec) ARMA : DEBUG -> Training...\n", + "( 4.08 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.08 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.08 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.08 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.08 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.09 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.09 sec) Clustered ROM : DEBUG -> Training segment 185 slice(4440, 4464, None)\n", + "( 4.09 sec) ARMA : DEBUG -> Training...\n", + "( 4.09 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.09 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.09 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.09 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.09 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.11 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.11 sec) Clustered ROM : DEBUG -> Training segment 186 slice(4464, 4488, None)\n", + "( 4.11 sec) ARMA : DEBUG -> Training...\n", + "( 4.11 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.11 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.11 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.11 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.11 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.12 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.12 sec) Clustered ROM : DEBUG -> Training segment 187 slice(4488, 4512, None)\n", + "( 4.12 sec) ARMA : DEBUG -> Training...\n", + "( 4.12 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.12 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.13 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.13 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.13 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.16 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.16 sec) Clustered ROM : DEBUG -> Training segment 188 slice(4512, 4536, None)\n", + "( 4.16 sec) ARMA : DEBUG -> Training...\n", + "( 4.16 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.16 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.16 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.16 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.16 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.17 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.17 sec) Clustered ROM : DEBUG -> Training segment 189 slice(4536, 4560, None)\n", + "( 4.17 sec) ARMA : DEBUG -> Training...\n", + "( 4.17 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.17 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.17 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.17 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.17 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.18 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.18 sec) Clustered ROM : DEBUG -> Training segment 190 slice(4560, 4584, None)\n", + "( 4.18 sec) ARMA : DEBUG -> Training...\n", + "( 4.18 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.18 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.18 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.18 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.18 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.19 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.19 sec) Clustered ROM : DEBUG -> Training segment 191 slice(4584, 4608, None)\n", + "( 4.19 sec) ARMA : DEBUG -> Training...\n", + "( 4.19 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.19 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.19 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.19 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.19 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.20 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.20 sec) Clustered ROM : DEBUG -> Training segment 192 slice(4608, 4632, None)\n", + "( 4.20 sec) ARMA : DEBUG -> Training...\n", + "( 4.20 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.20 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.20 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.20 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.20 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.22 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.22 sec) Clustered ROM : DEBUG -> Training segment 193 slice(4632, 4656, None)\n", + "( 4.22 sec) ARMA : DEBUG -> Training...\n", + "( 4.22 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.22 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.22 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.22 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.22 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.25 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.25 sec) Clustered ROM : DEBUG -> Training segment 194 slice(4656, 4680, None)\n", + "( 4.25 sec) ARMA : DEBUG -> Training...\n", + "( 4.25 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.25 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.25 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.25 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.25 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.27 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.27 sec) Clustered ROM : DEBUG -> Training segment 195 slice(4680, 4704, None)\n", + "( 4.27 sec) ARMA : DEBUG -> Training...\n", + "( 4.27 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.27 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.27 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.27 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.27 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.29 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.29 sec) Clustered ROM : DEBUG -> Training segment 196 slice(4704, 4728, None)\n", + "( 4.29 sec) ARMA : DEBUG -> Training...\n", + "( 4.29 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.29 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.29 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.29 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.29 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.29 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.30 sec) Clustered ROM : DEBUG -> Training segment 197 slice(4728, 4752, None)\n", + "( 4.30 sec) ARMA : DEBUG -> Training...\n", + "( 4.30 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.30 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.30 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.30 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.30 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.32 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.32 sec) Clustered ROM : DEBUG -> Training segment 198 slice(4752, 4776, None)\n", + "( 4.32 sec) ARMA : DEBUG -> Training...\n", + "( 4.32 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.32 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.32 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.32 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.32 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.33 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.33 sec) Clustered ROM : DEBUG -> Training segment 199 slice(4776, 4800, None)\n", + "( 4.33 sec) ARMA : DEBUG -> Training...\n", + "( 4.33 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.33 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.33 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.33 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.33 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.36 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.36 sec) Clustered ROM : DEBUG -> Training segment 200 slice(4800, 4824, None)\n", + "( 4.36 sec) ARMA : DEBUG -> Training...\n", + "( 4.36 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.36 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.36 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.36 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.36 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.37 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.37 sec) Clustered ROM : DEBUG -> Training segment 201 slice(4824, 4848, None)\n", + "( 4.37 sec) ARMA : DEBUG -> Training...\n", + "( 4.37 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.37 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.37 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.37 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.37 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.38 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.38 sec) Clustered ROM : DEBUG -> Training segment 202 slice(4848, 4872, None)\n", + "( 4.38 sec) ARMA : DEBUG -> Training...\n", + "( 4.38 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.38 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.38 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.38 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.39 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.40 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.40 sec) Clustered ROM : DEBUG -> Training segment 203 slice(4872, 4896, None)\n", + "( 4.40 sec) ARMA : DEBUG -> Training...\n", + "( 4.40 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.40 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.40 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.40 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.40 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.41 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.41 sec) Clustered ROM : DEBUG -> Training segment 204 slice(4896, 4920, None)\n", + "( 4.41 sec) ARMA : DEBUG -> Training...\n", + "( 4.41 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.41 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.41 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.41 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.41 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.44 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.44 sec) Clustered ROM : DEBUG -> Training segment 205 slice(4920, 4944, None)\n", + "( 4.44 sec) ARMA : DEBUG -> Training...\n", + "( 4.44 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.44 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.44 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.44 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.44 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.45 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.45 sec) Clustered ROM : DEBUG -> Training segment 206 slice(4944, 4968, None)\n", + "( 4.45 sec) ARMA : DEBUG -> Training...\n", + "( 4.45 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.45 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.45 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.45 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.45 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.46 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.46 sec) Clustered ROM : DEBUG -> Training segment 207 slice(4968, 4992, None)\n", + "( 4.46 sec) ARMA : DEBUG -> Training...\n", + "( 4.46 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.46 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.46 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.46 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.47 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.52 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.52 sec) Clustered ROM : DEBUG -> Training segment 208 slice(4992, 5016, None)\n", + "( 4.52 sec) ARMA : DEBUG -> Training...\n", + "( 4.52 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.52 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.52 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.52 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.52 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.53 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.53 sec) Clustered ROM : DEBUG -> Training segment 209 slice(5016, 5040, None)\n", + "( 4.53 sec) ARMA : DEBUG -> Training...\n", + "( 4.53 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.53 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.53 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.53 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.53 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.55 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.55 sec) Clustered ROM : DEBUG -> Training segment 210 slice(5040, 5064, None)\n", + "( 4.55 sec) ARMA : DEBUG -> Training...\n", + "( 4.55 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.55 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.55 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.55 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.55 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.59 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.59 sec) Clustered ROM : DEBUG -> Training segment 211 slice(5064, 5088, None)\n", + "( 4.59 sec) ARMA : DEBUG -> Training...\n", + "( 4.59 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.59 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.59 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.59 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.59 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.61 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.61 sec) Clustered ROM : DEBUG -> Training segment 212 slice(5088, 5112, None)\n", + "( 4.61 sec) ARMA : DEBUG -> Training...\n", + "( 4.61 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.61 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.61 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.61 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.61 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.62 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.62 sec) Clustered ROM : DEBUG -> Training segment 213 slice(5112, 5136, None)\n", + "( 4.62 sec) ARMA : DEBUG -> Training...\n", + "( 4.62 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.62 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.62 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.62 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.62 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.63 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.63 sec) Clustered ROM : DEBUG -> Training segment 214 slice(5136, 5160, None)\n", + "( 4.63 sec) ARMA : DEBUG -> Training...\n", + "( 4.63 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.63 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.63 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.63 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.63 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.64 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.64 sec) Clustered ROM : DEBUG -> Training segment 215 slice(5160, 5184, None)\n", + "( 4.64 sec) ARMA : DEBUG -> Training...\n", + "( 4.64 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.64 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.64 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.64 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.65 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.66 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.66 sec) Clustered ROM : DEBUG -> Training segment 216 slice(5184, 5208, None)\n", + "( 4.66 sec) ARMA : DEBUG -> Training...\n", + "( 4.66 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.66 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.66 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.66 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.66 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.67 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.67 sec) Clustered ROM : DEBUG -> Training segment 217 slice(5208, 5232, None)\n", + "( 4.67 sec) ARMA : DEBUG -> Training...\n", + "( 4.67 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.67 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.67 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.67 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.67 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.68 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.68 sec) Clustered ROM : DEBUG -> Training segment 218 slice(5232, 5256, None)\n", + "( 4.68 sec) ARMA : DEBUG -> Training...\n", + "( 4.68 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.68 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.68 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.68 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.68 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.69 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.69 sec) Clustered ROM : DEBUG -> Training segment 219 slice(5256, 5280, None)\n", + "( 4.69 sec) ARMA : DEBUG -> Training...\n", + "( 4.69 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.69 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.69 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.69 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.69 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.71 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.71 sec) Clustered ROM : DEBUG -> Training segment 220 slice(5280, 5304, None)\n", + "( 4.71 sec) ARMA : DEBUG -> Training...\n", + "( 4.71 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.71 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.71 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.71 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.71 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.73 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.73 sec) Clustered ROM : DEBUG -> Training segment 221 slice(5304, 5328, None)\n", + "( 4.73 sec) ARMA : DEBUG -> Training...\n", + "( 4.73 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.73 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.73 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.73 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.73 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.75 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.75 sec) Clustered ROM : DEBUG -> Training segment 222 slice(5328, 5352, None)\n", + "( 4.75 sec) ARMA : DEBUG -> Training...\n", + "( 4.75 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.75 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.75 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.75 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.75 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.76 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.76 sec) Clustered ROM : DEBUG -> Training segment 223 slice(5352, 5376, None)\n", + "( 4.76 sec) ARMA : DEBUG -> Training...\n", + "( 4.76 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.76 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.76 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.76 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.76 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.77 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.77 sec) Clustered ROM : DEBUG -> Training segment 224 slice(5376, 5400, None)\n", + "( 4.77 sec) ARMA : DEBUG -> Training...\n", + "( 4.77 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.77 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.77 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.77 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.77 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.79 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.79 sec) Clustered ROM : DEBUG -> Training segment 225 slice(5400, 5424, None)\n", + "( 4.79 sec) ARMA : DEBUG -> Training...\n", + "( 4.79 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.79 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.79 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.79 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.79 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.80 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.80 sec) Clustered ROM : DEBUG -> Training segment 226 slice(5424, 5448, None)\n", + "( 4.80 sec) ARMA : DEBUG -> Training...\n", + "( 4.80 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.80 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.80 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.80 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.80 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.81 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.81 sec) Clustered ROM : DEBUG -> Training segment 227 slice(5448, 5472, None)\n", + "( 4.81 sec) ARMA : DEBUG -> Training...\n", + "( 4.81 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.81 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.81 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.81 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.83 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.83 sec) Clustered ROM : DEBUG -> Training segment 228 slice(5472, 5496, None)\n", + "( 4.83 sec) ARMA : DEBUG -> Training...\n", + "( 4.83 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.83 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.83 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.83 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.83 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.83 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.83 sec) Clustered ROM : DEBUG -> Training segment 229 slice(5496, 5520, None)\n", + "( 4.83 sec) ARMA : DEBUG -> Training...\n", + "( 4.83 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.83 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.83 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.83 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.83 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.85 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.85 sec) Clustered ROM : DEBUG -> Training segment 230 slice(5520, 5544, None)\n", + "( 4.85 sec) ARMA : DEBUG -> Training...\n", + "( 4.85 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.85 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.85 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.85 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.85 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.86 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.87 sec) Clustered ROM : DEBUG -> Training segment 231 slice(5544, 5568, None)\n", + "( 4.87 sec) ARMA : DEBUG -> Training...\n", + "( 4.87 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.87 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.87 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.87 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.87 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.87 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.87 sec) Clustered ROM : DEBUG -> Training segment 232 slice(5568, 5592, None)\n", + "( 4.87 sec) ARMA : DEBUG -> Training...\n", + "( 4.87 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.87 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.87 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.87 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.87 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.88 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.88 sec) Clustered ROM : DEBUG -> Training segment 233 slice(5592, 5616, None)\n", + "( 4.88 sec) ARMA : DEBUG -> Training...\n", + "( 4.88 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.88 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.88 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.88 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.88 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.92 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.92 sec) Clustered ROM : DEBUG -> Training segment 234 slice(5616, 5640, None)\n", + "( 4.92 sec) ARMA : DEBUG -> Training...\n", + "( 4.92 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.92 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.92 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.92 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.92 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.93 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.93 sec) Clustered ROM : DEBUG -> Training segment 235 slice(5640, 5664, None)\n", + "( 4.93 sec) ARMA : DEBUG -> Training...\n", + "( 4.93 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.93 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.93 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.93 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.93 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.94 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.94 sec) Clustered ROM : DEBUG -> Training segment 236 slice(5664, 5688, None)\n", + "( 4.94 sec) ARMA : DEBUG -> Training...\n", + "( 4.94 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.94 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.94 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.94 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.94 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.96 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.96 sec) Clustered ROM : DEBUG -> Training segment 237 slice(5688, 5712, None)\n", + "( 4.96 sec) ARMA : DEBUG -> Training...\n", + "( 4.96 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.96 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.96 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.96 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.96 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 4.97 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 4.97 sec) Clustered ROM : DEBUG -> Training segment 238 slice(5712, 5736, None)\n", + "( 4.97 sec) ARMA : DEBUG -> Training...\n", + "( 4.97 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 4.97 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 4.97 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 4.97 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 4.97 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.01 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.01 sec) Clustered ROM : DEBUG -> Training segment 239 slice(5736, 5760, None)\n", + "( 5.01 sec) ARMA : DEBUG -> Training...\n", + "( 5.01 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.01 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.01 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.01 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.01 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.05 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.05 sec) Clustered ROM : DEBUG -> Training segment 240 slice(5760, 5784, None)\n", + "( 5.05 sec) ARMA : DEBUG -> Training...\n", + "( 5.05 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.05 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.05 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.05 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.05 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.06 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.06 sec) Clustered ROM : DEBUG -> Training segment 241 slice(5784, 5808, None)\n", + "( 5.06 sec) ARMA : DEBUG -> Training...\n", + "( 5.06 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.06 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.06 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.06 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.06 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.09 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.09 sec) Clustered ROM : DEBUG -> Training segment 242 slice(5808, 5832, None)\n", + "( 5.09 sec) ARMA : DEBUG -> Training...\n", + "( 5.09 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.09 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.09 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.09 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.09 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.10 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.10 sec) Clustered ROM : DEBUG -> Training segment 243 slice(5832, 5856, None)\n", + "( 5.11 sec) ARMA : DEBUG -> Training...\n", + "( 5.11 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.11 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.11 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.11 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.11 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.12 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.12 sec) Clustered ROM : DEBUG -> Training segment 244 slice(5856, 5880, None)\n", + "( 5.12 sec) ARMA : DEBUG -> Training...\n", + "( 5.12 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.12 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.12 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.12 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.12 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.14 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.14 sec) Clustered ROM : DEBUG -> Training segment 245 slice(5880, 5904, None)\n", + "( 5.14 sec) ARMA : DEBUG -> Training...\n", + "( 5.14 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.14 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.14 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.14 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.14 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.18 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.18 sec) Clustered ROM : DEBUG -> Training segment 246 slice(5904, 5928, None)\n", + "( 5.18 sec) ARMA : DEBUG -> Training...\n", + "( 5.18 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.18 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.18 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.18 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.18 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.19 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.19 sec) Clustered ROM : DEBUG -> Training segment 247 slice(5928, 5952, None)\n", + "( 5.19 sec) ARMA : DEBUG -> Training...\n", + "( 5.19 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.19 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.19 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.19 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.19 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.20 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.20 sec) Clustered ROM : DEBUG -> Training segment 248 slice(5952, 5976, None)\n", + "( 5.20 sec) ARMA : DEBUG -> Training...\n", + "( 5.20 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.20 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.20 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.20 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.20 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.25 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.25 sec) Clustered ROM : DEBUG -> Training segment 249 slice(5976, 6000, None)\n", + "( 5.25 sec) ARMA : DEBUG -> Training...\n", + "( 5.25 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.25 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.25 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.25 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.25 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.27 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.27 sec) Clustered ROM : DEBUG -> Training segment 250 slice(6000, 6024, None)\n", + "( 5.27 sec) ARMA : DEBUG -> Training...\n", + "( 5.27 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.27 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.27 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.27 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.27 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.29 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.29 sec) Clustered ROM : DEBUG -> Training segment 251 slice(6024, 6048, None)\n", + "( 5.29 sec) ARMA : DEBUG -> Training...\n", + "( 5.29 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.29 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.29 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.29 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.29 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.30 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.30 sec) Clustered ROM : DEBUG -> Training segment 252 slice(6048, 6072, None)\n", + "( 5.30 sec) ARMA : DEBUG -> Training...\n", + "( 5.30 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.30 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.30 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.30 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.30 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.31 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.31 sec) Clustered ROM : DEBUG -> Training segment 253 slice(6072, 6096, None)\n", + "( 5.31 sec) ARMA : DEBUG -> Training...\n", + "( 5.31 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.31 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.31 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.31 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.31 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.32 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.32 sec) Clustered ROM : DEBUG -> Training segment 254 slice(6096, 6120, None)\n", + "( 5.32 sec) ARMA : DEBUG -> Training...\n", + "( 5.32 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.32 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.32 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.32 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.32 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.35 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.35 sec) Clustered ROM : DEBUG -> Training segment 255 slice(6120, 6144, None)\n", + "( 5.35 sec) ARMA : DEBUG -> Training...\n", + "( 5.35 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.35 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.35 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.35 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.35 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.36 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.36 sec) Clustered ROM : DEBUG -> Training segment 256 slice(6144, 6168, None)\n", + "( 5.36 sec) ARMA : DEBUG -> Training...\n", + "( 5.36 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.36 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.36 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.36 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.37 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.38 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.38 sec) Clustered ROM : DEBUG -> Training segment 257 slice(6168, 6192, None)\n", + "( 5.38 sec) ARMA : DEBUG -> Training...\n", + "( 5.38 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.38 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.38 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.38 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.38 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.42 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.42 sec) Clustered ROM : DEBUG -> Training segment 258 slice(6192, 6216, None)\n", + "( 5.42 sec) ARMA : DEBUG -> Training...\n", + "( 5.42 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.42 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.42 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.42 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.42 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.44 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.44 sec) Clustered ROM : DEBUG -> Training segment 259 slice(6216, 6240, None)\n", + "( 5.44 sec) ARMA : DEBUG -> Training...\n", + "( 5.44 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.44 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.44 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.44 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.44 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.44 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.44 sec) Clustered ROM : DEBUG -> Training segment 260 slice(6240, 6264, None)\n", + "( 5.44 sec) ARMA : DEBUG -> Training...\n", + "( 5.44 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.44 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.44 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.44 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.44 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.45 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.45 sec) Clustered ROM : DEBUG -> Training segment 261 slice(6264, 6288, None)\n", + "( 5.45 sec) ARMA : DEBUG -> Training...\n", + "( 5.45 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.45 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.45 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.46 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.46 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.47 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.47 sec) Clustered ROM : DEBUG -> Training segment 262 slice(6288, 6312, None)\n", + "( 5.47 sec) ARMA : DEBUG -> Training...\n", + "( 5.47 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.47 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.47 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.47 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.47 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.48 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.48 sec) Clustered ROM : DEBUG -> Training segment 263 slice(6312, 6336, None)\n", + "( 5.48 sec) ARMA : DEBUG -> Training...\n", + "( 5.48 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.48 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.48 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.49 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.49 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.49 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.50 sec) Clustered ROM : DEBUG -> Training segment 264 slice(6336, 6360, None)\n", + "( 5.50 sec) ARMA : DEBUG -> Training...\n", + "( 5.50 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.50 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.50 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.50 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.50 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.51 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.51 sec) Clustered ROM : DEBUG -> Training segment 265 slice(6360, 6384, None)\n", + "( 5.51 sec) ARMA : DEBUG -> Training...\n", + "( 5.51 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.51 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.51 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.51 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.51 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.51 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.51 sec) Clustered ROM : DEBUG -> Training segment 266 slice(6384, 6408, None)\n", + "( 5.51 sec) ARMA : DEBUG -> Training...\n", + "( 5.51 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.51 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.52 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.52 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.52 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.53 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.53 sec) Clustered ROM : DEBUG -> Training segment 267 slice(6408, 6432, None)\n", + "( 5.53 sec) ARMA : DEBUG -> Training...\n", + "( 5.53 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.53 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.53 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.53 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.53 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.56 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.56 sec) Clustered ROM : DEBUG -> Training segment 268 slice(6432, 6456, None)\n", + "( 5.56 sec) ARMA : DEBUG -> Training...\n", + "( 5.56 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.56 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.56 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.56 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.56 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.57 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.57 sec) Clustered ROM : DEBUG -> Training segment 269 slice(6456, 6480, None)\n", + "( 5.57 sec) ARMA : DEBUG -> Training...\n", + "( 5.57 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.57 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.57 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.57 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.57 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.59 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.59 sec) Clustered ROM : DEBUG -> Training segment 270 slice(6480, 6504, None)\n", + "( 5.59 sec) ARMA : DEBUG -> Training...\n", + "( 5.59 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.59 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.59 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.59 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.59 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.59 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.59 sec) Clustered ROM : DEBUG -> Training segment 271 slice(6504, 6528, None)\n", + "( 5.59 sec) ARMA : DEBUG -> Training...\n", + "( 5.59 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.59 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.59 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.59 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.59 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.60 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.60 sec) Clustered ROM : DEBUG -> Training segment 272 slice(6528, 6552, None)\n", + "( 5.60 sec) ARMA : DEBUG -> Training...\n", + "( 5.60 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.60 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.60 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.61 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.61 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.62 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.62 sec) Clustered ROM : DEBUG -> Training segment 273 slice(6552, 6576, None)\n", + "( 5.62 sec) ARMA : DEBUG -> Training...\n", + "( 5.62 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.62 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.62 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.62 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.62 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.63 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.63 sec) Clustered ROM : DEBUG -> Training segment 274 slice(6576, 6600, None)\n", + "( 5.63 sec) ARMA : DEBUG -> Training...\n", + "( 5.63 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.63 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.63 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.63 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.63 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.64 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.64 sec) Clustered ROM : DEBUG -> Training segment 275 slice(6600, 6624, None)\n", + "( 5.64 sec) ARMA : DEBUG -> Training...\n", + "( 5.64 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.64 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.64 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.64 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.64 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.65 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.65 sec) Clustered ROM : DEBUG -> Training segment 276 slice(6624, 6648, None)\n", + "( 5.65 sec) ARMA : DEBUG -> Training...\n", + "( 5.65 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.65 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.66 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.66 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.66 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.67 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.67 sec) Clustered ROM : DEBUG -> Training segment 277 slice(6648, 6672, None)\n", + "( 5.67 sec) ARMA : DEBUG -> Training...\n", + "( 5.67 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.67 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.67 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.68 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.68 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.69 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.69 sec) Clustered ROM : DEBUG -> Training segment 278 slice(6672, 6696, None)\n", + "( 5.69 sec) ARMA : DEBUG -> Training...\n", + "( 5.69 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.69 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.69 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.69 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.69 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.70 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.70 sec) Clustered ROM : DEBUG -> Training segment 279 slice(6696, 6720, None)\n", + "( 5.70 sec) ARMA : DEBUG -> Training...\n", + "( 5.70 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.70 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.70 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.70 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.70 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.71 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.71 sec) Clustered ROM : DEBUG -> Training segment 280 slice(6720, 6744, None)\n", + "( 5.71 sec) ARMA : DEBUG -> Training...\n", + "( 5.71 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.71 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.71 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.71 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.71 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.73 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.73 sec) Clustered ROM : DEBUG -> Training segment 281 slice(6744, 6768, None)\n", + "( 5.73 sec) ARMA : DEBUG -> Training...\n", + "( 5.73 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.73 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.73 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.73 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.73 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.77 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.77 sec) Clustered ROM : DEBUG -> Training segment 282 slice(6768, 6792, None)\n", + "( 5.77 sec) ARMA : DEBUG -> Training...\n", + "( 5.77 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.77 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.77 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.77 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.77 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.77 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.77 sec) Clustered ROM : DEBUG -> Training segment 283 slice(6792, 6816, None)\n", + "( 5.77 sec) ARMA : DEBUG -> Training...\n", + "( 5.77 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.77 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.77 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.77 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.77 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.79 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.79 sec) Clustered ROM : DEBUG -> Training segment 284 slice(6816, 6840, None)\n", + "( 5.79 sec) ARMA : DEBUG -> Training...\n", + "( 5.79 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.79 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.79 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.79 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.79 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.81 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.81 sec) Clustered ROM : DEBUG -> Training segment 285 slice(6840, 6864, None)\n", + "( 5.81 sec) ARMA : DEBUG -> Training...\n", + "( 5.81 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.81 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.81 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.81 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.81 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.81 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.81 sec) Clustered ROM : DEBUG -> Training segment 286 slice(6864, 6888, None)\n", + "( 5.81 sec) ARMA : DEBUG -> Training...\n", + "( 5.81 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.81 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.81 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.81 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.81 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.82 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.83 sec) Clustered ROM : DEBUG -> Training segment 287 slice(6888, 6912, None)\n", + "( 5.83 sec) ARMA : DEBUG -> Training...\n", + "( 5.83 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.83 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.83 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.83 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.83 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.84 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.84 sec) Clustered ROM : DEBUG -> Training segment 288 slice(6912, 6936, None)\n", + "( 5.84 sec) ARMA : DEBUG -> Training...\n", + "( 5.84 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.84 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.84 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.84 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.84 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.85 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.85 sec) Clustered ROM : DEBUG -> Training segment 289 slice(6936, 6960, None)\n", + "( 5.85 sec) ARMA : DEBUG -> Training...\n", + "( 5.85 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.85 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.85 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.85 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.85 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.87 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.87 sec) Clustered ROM : DEBUG -> Training segment 290 slice(6960, 6984, None)\n", + "( 5.87 sec) ARMA : DEBUG -> Training...\n", + "( 5.87 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.87 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.87 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.87 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.87 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.89 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.89 sec) Clustered ROM : DEBUG -> Training segment 291 slice(6984, 7008, None)\n", + "( 5.89 sec) ARMA : DEBUG -> Training...\n", + "( 5.89 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.89 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.89 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.89 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.89 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.90 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.90 sec) Clustered ROM : DEBUG -> Training segment 292 slice(7008, 7032, None)\n", + "( 5.90 sec) ARMA : DEBUG -> Training...\n", + "( 5.90 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.90 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.90 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.90 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.90 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.92 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.92 sec) Clustered ROM : DEBUG -> Training segment 293 slice(7032, 7056, None)\n", + "( 5.92 sec) ARMA : DEBUG -> Training...\n", + "( 5.92 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.92 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.92 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.92 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.92 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.93 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.94 sec) Clustered ROM : DEBUG -> Training segment 294 slice(7056, 7080, None)\n", + "( 5.94 sec) ARMA : DEBUG -> Training...\n", + "( 5.94 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.94 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.94 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.94 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.94 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.95 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.95 sec) Clustered ROM : DEBUG -> Training segment 295 slice(7080, 7104, None)\n", + "( 5.95 sec) ARMA : DEBUG -> Training...\n", + "( 5.95 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.95 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.95 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.95 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.95 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.95 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.95 sec) Clustered ROM : DEBUG -> Training segment 296 slice(7104, 7128, None)\n", + "( 5.95 sec) ARMA : DEBUG -> Training...\n", + "( 5.95 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.95 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.95 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.95 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.96 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.97 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.97 sec) Clustered ROM : DEBUG -> Training segment 297 slice(7128, 7152, None)\n", + "( 5.97 sec) ARMA : DEBUG -> Training...\n", + "( 5.97 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.97 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.97 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.97 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 5.97 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 5.99 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 5.99 sec) Clustered ROM : DEBUG -> Training segment 298 slice(7152, 7176, None)\n", + "( 5.99 sec) ARMA : DEBUG -> Training...\n", + "( 5.99 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 5.99 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 5.99 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 5.99 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.00 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.00 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.00 sec) Clustered ROM : DEBUG -> Training segment 299 slice(7176, 7200, None)\n", + "( 6.00 sec) ARMA : DEBUG -> Training...\n", + "( 6.00 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.00 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.00 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.00 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.00 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.02 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.02 sec) Clustered ROM : DEBUG -> Training segment 300 slice(7200, 7224, None)\n", + "( 6.02 sec) ARMA : DEBUG -> Training...\n", + "( 6.02 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.02 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.02 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.02 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.02 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.06 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.06 sec) Clustered ROM : DEBUG -> Training segment 301 slice(7224, 7248, None)\n", + "( 6.06 sec) ARMA : DEBUG -> Training...\n", + "( 6.06 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.06 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.06 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.06 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.06 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.07 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.07 sec) Clustered ROM : DEBUG -> Training segment 302 slice(7248, 7272, None)\n", + "( 6.07 sec) ARMA : DEBUG -> Training...\n", + "( 6.07 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.07 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.07 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.07 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.07 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.08 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.08 sec) Clustered ROM : DEBUG -> Training segment 303 slice(7272, 7296, None)\n", + "( 6.08 sec) ARMA : DEBUG -> Training...\n", + "( 6.08 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.08 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.08 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.08 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.08 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.09 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.09 sec) Clustered ROM : DEBUG -> Training segment 304 slice(7296, 7320, None)\n", + "( 6.09 sec) ARMA : DEBUG -> Training...\n", + "( 6.09 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.09 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.09 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.09 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.09 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.10 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.10 sec) Clustered ROM : DEBUG -> Training segment 305 slice(7320, 7344, None)\n", + "( 6.10 sec) ARMA : DEBUG -> Training...\n", + "( 6.10 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.10 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.10 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.10 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.10 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.12 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.12 sec) Clustered ROM : DEBUG -> Training segment 306 slice(7344, 7368, None)\n", + "( 6.12 sec) ARMA : DEBUG -> Training...\n", + "( 6.12 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.12 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.12 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.12 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.12 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.12 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.12 sec) Clustered ROM : DEBUG -> Training segment 307 slice(7368, 7392, None)\n", + "( 6.12 sec) ARMA : DEBUG -> Training...\n", + "( 6.12 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.12 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.12 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.12 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.12 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.14 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.14 sec) Clustered ROM : DEBUG -> Training segment 308 slice(7392, 7416, None)\n", + "( 6.14 sec) ARMA : DEBUG -> Training...\n", + "( 6.14 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.14 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.14 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.14 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.14 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.18 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.18 sec) Clustered ROM : DEBUG -> Training segment 309 slice(7416, 7440, None)\n", + "( 6.18 sec) ARMA : DEBUG -> Training...\n", + "( 6.18 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.18 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.18 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.18 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.18 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.18 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.18 sec) Clustered ROM : DEBUG -> Training segment 310 slice(7440, 7464, None)\n", + "( 6.18 sec) ARMA : DEBUG -> Training...\n", + "( 6.18 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.18 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.18 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.18 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.19 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.20 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.20 sec) Clustered ROM : DEBUG -> Training segment 311 slice(7464, 7488, None)\n", + "( 6.20 sec) ARMA : DEBUG -> Training...\n", + "( 6.20 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.20 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.20 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.20 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.20 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.22 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.22 sec) Clustered ROM : DEBUG -> Training segment 312 slice(7488, 7512, None)\n", + "( 6.22 sec) ARMA : DEBUG -> Training...\n", + "( 6.22 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.22 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.22 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.22 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.22 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.23 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.23 sec) Clustered ROM : DEBUG -> Training segment 313 slice(7512, 7536, None)\n", + "( 6.23 sec) ARMA : DEBUG -> Training...\n", + "( 6.23 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.23 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.23 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.23 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.23 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.25 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.25 sec) Clustered ROM : DEBUG -> Training segment 314 slice(7536, 7560, None)\n", + "( 6.25 sec) ARMA : DEBUG -> Training...\n", + "( 6.25 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.25 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.25 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.25 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.25 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.27 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.27 sec) Clustered ROM : DEBUG -> Training segment 315 slice(7560, 7584, None)\n", + "( 6.27 sec) ARMA : DEBUG -> Training...\n", + "( 6.27 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.27 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.27 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.28 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.28 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.29 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.29 sec) Clustered ROM : DEBUG -> Training segment 316 slice(7584, 7608, None)\n", + "( 6.29 sec) ARMA : DEBUG -> Training...\n", + "( 6.29 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.29 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.29 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.29 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.29 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.30 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.30 sec) Clustered ROM : DEBUG -> Training segment 317 slice(7608, 7632, None)\n", + "( 6.30 sec) ARMA : DEBUG -> Training...\n", + "( 6.30 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.30 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.30 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.30 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.30 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.31 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.31 sec) Clustered ROM : DEBUG -> Training segment 318 slice(7632, 7656, None)\n", + "( 6.31 sec) ARMA : DEBUG -> Training...\n", + "( 6.31 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.31 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.31 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.31 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.31 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.32 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.32 sec) Clustered ROM : DEBUG -> Training segment 319 slice(7656, 7680, None)\n", + "( 6.32 sec) ARMA : DEBUG -> Training...\n", + "( 6.32 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.32 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.32 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.33 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.33 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.34 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.34 sec) Clustered ROM : DEBUG -> Training segment 320 slice(7680, 7704, None)\n", + "( 6.34 sec) ARMA : DEBUG -> Training...\n", + "( 6.34 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.34 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.34 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.34 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.34 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.35 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.35 sec) Clustered ROM : DEBUG -> Training segment 321 slice(7704, 7728, None)\n", + "( 6.35 sec) ARMA : DEBUG -> Training...\n", + "( 6.35 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.35 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.35 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.35 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.35 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.36 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.36 sec) Clustered ROM : DEBUG -> Training segment 322 slice(7728, 7752, None)\n", + "( 6.36 sec) ARMA : DEBUG -> Training...\n", + "( 6.36 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.36 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.36 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.36 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.36 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.37 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.37 sec) Clustered ROM : DEBUG -> Training segment 323 slice(7752, 7776, None)\n", + "( 6.37 sec) ARMA : DEBUG -> Training...\n", + "( 6.37 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.37 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.37 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.37 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.37 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.39 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.39 sec) Clustered ROM : DEBUG -> Training segment 324 slice(7776, 7800, None)\n", + "( 6.39 sec) ARMA : DEBUG -> Training...\n", + "( 6.39 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.39 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.39 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.39 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.39 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.40 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.40 sec) Clustered ROM : DEBUG -> Training segment 325 slice(7800, 7824, None)\n", + "( 6.40 sec) ARMA : DEBUG -> Training...\n", + "( 6.40 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.40 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.40 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.40 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.40 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.41 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.41 sec) Clustered ROM : DEBUG -> Training segment 326 slice(7824, 7848, None)\n", + "( 6.41 sec) ARMA : DEBUG -> Training...\n", + "( 6.41 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.41 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.41 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.41 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.41 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.43 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.43 sec) Clustered ROM : DEBUG -> Training segment 327 slice(7848, 7872, None)\n", + "( 6.43 sec) ARMA : DEBUG -> Training...\n", + "( 6.43 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.43 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.43 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.43 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.43 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.43 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.43 sec) Clustered ROM : DEBUG -> Training segment 328 slice(7872, 7896, None)\n", + "( 6.43 sec) ARMA : DEBUG -> Training...\n", + "( 6.43 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.43 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.43 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.43 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.43 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.45 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.45 sec) Clustered ROM : DEBUG -> Training segment 329 slice(7896, 7920, None)\n", + "( 6.45 sec) ARMA : DEBUG -> Training...\n", + "( 6.45 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.45 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.45 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.45 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.45 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.46 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.46 sec) Clustered ROM : DEBUG -> Training segment 330 slice(7920, 7944, None)\n", + "( 6.46 sec) ARMA : DEBUG -> Training...\n", + "( 6.46 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.46 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.46 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.46 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.46 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.47 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.47 sec) Clustered ROM : DEBUG -> Training segment 331 slice(7944, 7968, None)\n", + "( 6.47 sec) ARMA : DEBUG -> Training...\n", + "( 6.47 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.47 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.47 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.47 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.47 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.47 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.48 sec) Clustered ROM : DEBUG -> Training segment 332 slice(7968, 7992, None)\n", + "( 6.48 sec) ARMA : DEBUG -> Training...\n", + "( 6.48 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.48 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.48 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.48 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.48 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.50 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.50 sec) Clustered ROM : DEBUG -> Training segment 333 slice(7992, 8016, None)\n", + "( 6.50 sec) ARMA : DEBUG -> Training...\n", + "( 6.50 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.50 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.50 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.50 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.50 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.51 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.51 sec) Clustered ROM : DEBUG -> Training segment 334 slice(8016, 8040, None)\n", + "( 6.51 sec) ARMA : DEBUG -> Training...\n", + "( 6.51 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.51 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.51 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.51 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.51 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.52 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.52 sec) Clustered ROM : DEBUG -> Training segment 335 slice(8040, 8064, None)\n", + "( 6.52 sec) ARMA : DEBUG -> Training...\n", + "( 6.52 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.52 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.52 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.52 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.52 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.53 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.53 sec) Clustered ROM : DEBUG -> Training segment 336 slice(8064, 8088, None)\n", + "( 6.53 sec) ARMA : DEBUG -> Training...\n", + "( 6.53 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.53 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.53 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.53 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.53 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.54 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.54 sec) Clustered ROM : DEBUG -> Training segment 337 slice(8088, 8112, None)\n", + "( 6.55 sec) ARMA : DEBUG -> Training...\n", + "( 6.55 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.55 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.55 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.55 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.55 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.58 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.58 sec) Clustered ROM : DEBUG -> Training segment 338 slice(8112, 8136, None)\n", + "( 6.58 sec) ARMA : DEBUG -> Training...\n", + "( 6.58 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.58 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.58 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.58 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.59 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.60 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.60 sec) Clustered ROM : DEBUG -> Training segment 339 slice(8136, 8160, None)\n", + "( 6.60 sec) ARMA : DEBUG -> Training...\n", + "( 6.60 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.60 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.60 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.60 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.60 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.62 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.62 sec) Clustered ROM : DEBUG -> Training segment 340 slice(8160, 8184, None)\n", + "( 6.62 sec) ARMA : DEBUG -> Training...\n", + "( 6.62 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.62 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.62 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.62 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.62 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.63 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.63 sec) Clustered ROM : DEBUG -> Training segment 341 slice(8184, 8208, None)\n", + "( 6.63 sec) ARMA : DEBUG -> Training...\n", + "( 6.63 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.63 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.63 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.63 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.63 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.64 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.64 sec) Clustered ROM : DEBUG -> Training segment 342 slice(8208, 8232, None)\n", + "( 6.64 sec) ARMA : DEBUG -> Training...\n", + "( 6.64 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.64 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.64 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.64 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.65 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.66 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.66 sec) Clustered ROM : DEBUG -> Training segment 343 slice(8232, 8256, None)\n", + "( 6.66 sec) ARMA : DEBUG -> Training...\n", + "( 6.66 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.66 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.66 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.66 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.66 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.68 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.68 sec) Clustered ROM : DEBUG -> Training segment 344 slice(8256, 8280, None)\n", + "( 6.69 sec) ARMA : DEBUG -> Training...\n", + "( 6.69 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.69 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.69 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.69 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.69 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.70 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.70 sec) Clustered ROM : DEBUG -> Training segment 345 slice(8280, 8304, None)\n", + "( 6.70 sec) ARMA : DEBUG -> Training...\n", + "( 6.70 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.70 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.70 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.70 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.70 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.71 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.71 sec) Clustered ROM : DEBUG -> Training segment 346 slice(8304, 8328, None)\n", + "( 6.71 sec) ARMA : DEBUG -> Training...\n", + "( 6.71 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.71 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.71 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.71 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.71 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.72 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.72 sec) Clustered ROM : DEBUG -> Training segment 347 slice(8328, 8352, None)\n", + "( 6.72 sec) ARMA : DEBUG -> Training...\n", + "( 6.72 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.72 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.72 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.72 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.72 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.73 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.73 sec) Clustered ROM : DEBUG -> Training segment 348 slice(8352, 8376, None)\n", + "( 6.73 sec) ARMA : DEBUG -> Training...\n", + "( 6.73 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.73 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.73 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.73 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.73 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.74 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.74 sec) Clustered ROM : DEBUG -> Training segment 349 slice(8376, 8400, None)\n", + "( 6.74 sec) ARMA : DEBUG -> Training...\n", + "( 6.74 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.74 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.74 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.74 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.74 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.75 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.75 sec) Clustered ROM : DEBUG -> Training segment 350 slice(8400, 8424, None)\n", + "( 6.75 sec) ARMA : DEBUG -> Training...\n", + "( 6.75 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.75 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.75 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.75 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.76 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.77 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.77 sec) Clustered ROM : DEBUG -> Training segment 351 slice(8424, 8448, None)\n", + "( 6.77 sec) ARMA : DEBUG -> Training...\n", + "( 6.77 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.77 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.77 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.77 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.77 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.79 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.79 sec) Clustered ROM : DEBUG -> Training segment 352 slice(8448, 8472, None)\n", + "( 6.79 sec) ARMA : DEBUG -> Training...\n", + "( 6.79 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.79 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.79 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.79 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.79 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.82 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.82 sec) Clustered ROM : DEBUG -> Training segment 353 slice(8472, 8496, None)\n", + "( 6.82 sec) ARMA : DEBUG -> Training...\n", + "( 6.82 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.82 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.82 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.84 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.84 sec) Clustered ROM : DEBUG -> Training segment 354 slice(8496, 8520, None)\n", + "( 6.84 sec) ARMA : DEBUG -> Training...\n", + "( 6.84 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.84 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.84 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.85 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.85 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.86 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.86 sec) Clustered ROM : DEBUG -> Training segment 355 slice(8520, 8544, None)\n", + "( 6.86 sec) ARMA : DEBUG -> Training...\n", + "( 6.86 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.86 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.86 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.86 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.86 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.87 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.87 sec) Clustered ROM : DEBUG -> Training segment 356 slice(8544, 8568, None)\n", + "( 6.87 sec) ARMA : DEBUG -> Training...\n", + "( 6.87 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.87 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.87 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.87 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.87 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.89 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.89 sec) Clustered ROM : DEBUG -> Training segment 357 slice(8568, 8592, None)\n", + "( 6.89 sec) ARMA : DEBUG -> Training...\n", + "( 6.89 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.89 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.89 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.89 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.89 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.90 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.90 sec) Clustered ROM : DEBUG -> Training segment 358 slice(8592, 8616, None)\n", + "( 6.90 sec) ARMA : DEBUG -> Training...\n", + "( 6.90 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.90 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.90 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.90 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.90 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.91 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.91 sec) Clustered ROM : DEBUG -> Training segment 359 slice(8616, 8640, None)\n", + "( 6.91 sec) ARMA : DEBUG -> Training...\n", + "( 6.91 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.91 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.91 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.91 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.91 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.94 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.94 sec) Clustered ROM : DEBUG -> Training segment 360 slice(8640, 8664, None)\n", + "( 6.94 sec) ARMA : DEBUG -> Training...\n", + "( 6.94 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.94 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.94 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.94 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.94 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.96 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.96 sec) Clustered ROM : DEBUG -> Training segment 361 slice(8664, 8688, None)\n", + "( 6.96 sec) ARMA : DEBUG -> Training...\n", + "( 6.96 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.96 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.96 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.96 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.96 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.97 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.97 sec) Clustered ROM : DEBUG -> Training segment 362 slice(8688, 8712, None)\n", + "( 6.97 sec) ARMA : DEBUG -> Training...\n", + "( 6.97 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.97 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.97 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.97 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.98 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.98 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.98 sec) Clustered ROM : DEBUG -> Training segment 363 slice(8712, 8736, None)\n", + "( 6.98 sec) ARMA : DEBUG -> Training...\n", + "( 6.98 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.98 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.98 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 6.98 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 6.98 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 6.99 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 6.99 sec) Clustered ROM : DEBUG -> Training segment 364 slice(8736, 8760, None)\n", + "( 6.99 sec) ARMA : DEBUG -> Training...\n", + "( 6.99 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 6.99 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 6.99 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.00 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.00 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.01 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.06 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 7.06 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 7.17 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 7.17 sec) Interp. Cluster ROM : DEBUG -> Training Statepoint Year 1 ...\n", + "( 7.17 sec) Clustered ROM : DEBUG -> Training segmented subspaces for \"arma\" ...\n", + "( 7.18 sec) Clustered ROM : DEBUG -> Dividing hour into 365 divisions for training ...\n", + "DEBUGG no ZF here!\n", + "( 7.18 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.18 sec) Clustered ROM : DEBUG -> Training segment 0 slice(0, 24, None)\n", + "( 7.18 sec) ARMA : DEBUG -> Training...\n", + "( 7.18 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.18 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.18 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.18 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.18 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.20 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.20 sec) Clustered ROM : DEBUG -> Training segment 1 slice(24, 48, None)\n", + "( 7.20 sec) ARMA : DEBUG -> Training...\n", + "( 7.20 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.20 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.20 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.20 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.20 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.21 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.21 sec) Clustered ROM : DEBUG -> Training segment 2 slice(48, 72, None)\n", + "( 7.21 sec) ARMA : DEBUG -> Training...\n", + "( 7.21 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.21 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.21 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.21 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.21 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.22 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.22 sec) Clustered ROM : DEBUG -> Training segment 3 slice(72, 96, None)\n", + "( 7.22 sec) ARMA : DEBUG -> Training...\n", + "( 7.22 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.22 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.22 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.22 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.22 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.23 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.23 sec) Clustered ROM : DEBUG -> Training segment 4 slice(96, 120, None)\n", + "( 7.23 sec) ARMA : DEBUG -> Training...\n", + "( 7.23 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.23 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.23 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.23 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.23 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.24 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.24 sec) Clustered ROM : DEBUG -> Training segment 5 slice(120, 144, None)\n", + "( 7.24 sec) ARMA : DEBUG -> Training...\n", + "( 7.24 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.24 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.24 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.25 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.25 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.26 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.26 sec) Clustered ROM : DEBUG -> Training segment 6 slice(144, 168, None)\n", + "( 7.26 sec) ARMA : DEBUG -> Training...\n", + "( 7.26 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.26 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.26 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.26 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.26 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.27 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.27 sec) Clustered ROM : DEBUG -> Training segment 7 slice(168, 192, None)\n", + "( 7.27 sec) ARMA : DEBUG -> Training...\n", + "( 7.27 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.27 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.27 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.27 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.27 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.28 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.28 sec) Clustered ROM : DEBUG -> Training segment 8 slice(192, 216, None)\n", + "( 7.28 sec) ARMA : DEBUG -> Training...\n", + "( 7.28 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.28 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.28 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.29 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.29 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.30 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.30 sec) Clustered ROM : DEBUG -> Training segment 9 slice(216, 240, None)\n", + "( 7.30 sec) ARMA : DEBUG -> Training...\n", + "( 7.30 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.30 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.30 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.30 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.31 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.31 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.31 sec) Clustered ROM : DEBUG -> Training segment 10 slice(240, 264, None)\n", + "( 7.31 sec) ARMA : DEBUG -> Training...\n", + "( 7.31 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.31 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.31 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.32 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.32 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.34 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.34 sec) Clustered ROM : DEBUG -> Training segment 11 slice(264, 288, None)\n", + "( 7.34 sec) ARMA : DEBUG -> Training...\n", + "( 7.34 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.34 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.34 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.34 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.34 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.35 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.35 sec) Clustered ROM : DEBUG -> Training segment 12 slice(288, 312, None)\n", + "( 7.35 sec) ARMA : DEBUG -> Training...\n", + "( 7.35 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.35 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.35 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.35 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.35 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.39 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.39 sec) Clustered ROM : DEBUG -> Training segment 13 slice(312, 336, None)\n", + "( 7.39 sec) ARMA : DEBUG -> Training...\n", + "( 7.39 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.39 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.39 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.39 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.39 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.40 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.40 sec) Clustered ROM : DEBUG -> Training segment 14 slice(336, 360, None)\n", + "( 7.40 sec) ARMA : DEBUG -> Training...\n", + "( 7.40 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.40 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.40 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.40 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.40 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.41 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.41 sec) Clustered ROM : DEBUG -> Training segment 15 slice(360, 384, None)\n", + "( 7.41 sec) ARMA : DEBUG -> Training...\n", + "( 7.41 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.41 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.41 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.41 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.41 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.41 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.41 sec) Clustered ROM : DEBUG -> Training segment 16 slice(384, 408, None)\n", + "( 7.41 sec) ARMA : DEBUG -> Training...\n", + "( 7.41 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.41 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.41 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.41 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.41 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.42 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.42 sec) Clustered ROM : DEBUG -> Training segment 17 slice(408, 432, None)\n", + "( 7.42 sec) ARMA : DEBUG -> Training...\n", + "( 7.42 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.42 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.42 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.43 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.43 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.44 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.44 sec) Clustered ROM : DEBUG -> Training segment 18 slice(432, 456, None)\n", + "( 7.44 sec) ARMA : DEBUG -> Training...\n", + "( 7.44 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.44 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.44 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.44 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.44 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.46 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.46 sec) Clustered ROM : DEBUG -> Training segment 19 slice(456, 480, None)\n", + "( 7.46 sec) ARMA : DEBUG -> Training...\n", + "( 7.46 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.46 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.46 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.46 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.46 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.46 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.46 sec) Clustered ROM : DEBUG -> Training segment 20 slice(480, 504, None)\n", + "( 7.46 sec) ARMA : DEBUG -> Training...\n", + "( 7.46 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.46 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.46 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.46 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.46 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.50 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.50 sec) Clustered ROM : DEBUG -> Training segment 21 slice(504, 528, None)\n", + "( 7.50 sec) ARMA : DEBUG -> Training...\n", + "( 7.50 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.50 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.50 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.50 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.50 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.52 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.52 sec) Clustered ROM : DEBUG -> Training segment 22 slice(528, 552, None)\n", + "( 7.52 sec) ARMA : DEBUG -> Training...\n", + "( 7.52 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.52 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.52 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.52 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.52 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.53 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.53 sec) Clustered ROM : DEBUG -> Training segment 23 slice(552, 576, None)\n", + "( 7.53 sec) ARMA : DEBUG -> Training...\n", + "( 7.53 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.53 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.53 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.53 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.53 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.54 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.54 sec) Clustered ROM : DEBUG -> Training segment 24 slice(576, 600, None)\n", + "( 7.54 sec) ARMA : DEBUG -> Training...\n", + "( 7.54 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.54 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.54 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.54 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.54 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.56 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.56 sec) Clustered ROM : DEBUG -> Training segment 25 slice(600, 624, None)\n", + "( 7.56 sec) ARMA : DEBUG -> Training...\n", + "( 7.56 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.56 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.56 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.56 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.56 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.57 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.57 sec) Clustered ROM : DEBUG -> Training segment 26 slice(624, 648, None)\n", + "( 7.58 sec) ARMA : DEBUG -> Training...\n", + "( 7.58 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.58 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.58 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.58 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.58 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.59 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.59 sec) Clustered ROM : DEBUG -> Training segment 27 slice(648, 672, None)\n", + "( 7.59 sec) ARMA : DEBUG -> Training...\n", + "( 7.59 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.59 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.59 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.59 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.59 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.60 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.60 sec) Clustered ROM : DEBUG -> Training segment 28 slice(672, 696, None)\n", + "( 7.60 sec) ARMA : DEBUG -> Training...\n", + "( 7.60 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.60 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.60 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.60 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.60 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.61 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.61 sec) Clustered ROM : DEBUG -> Training segment 29 slice(696, 720, None)\n", + "( 7.61 sec) ARMA : DEBUG -> Training...\n", + "( 7.61 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.61 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.61 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.61 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.61 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.63 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.63 sec) Clustered ROM : DEBUG -> Training segment 30 slice(720, 744, None)\n", + "( 7.63 sec) ARMA : DEBUG -> Training...\n", + "( 7.63 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.63 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.63 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.63 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.63 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.63 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.63 sec) Clustered ROM : DEBUG -> Training segment 31 slice(744, 768, None)\n", + "( 7.63 sec) ARMA : DEBUG -> Training...\n", + "( 7.63 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.63 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.63 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.64 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.64 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.67 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.67 sec) Clustered ROM : DEBUG -> Training segment 32 slice(768, 792, None)\n", + "( 7.67 sec) ARMA : DEBUG -> Training...\n", + "( 7.67 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.67 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.67 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.67 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.67 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.67 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.67 sec) Clustered ROM : DEBUG -> Training segment 33 slice(792, 816, None)\n", + "( 7.67 sec) ARMA : DEBUG -> Training...\n", + "( 7.67 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.67 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.67 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.67 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.67 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.71 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.71 sec) Clustered ROM : DEBUG -> Training segment 34 slice(816, 840, None)\n", + "( 7.71 sec) ARMA : DEBUG -> Training...\n", + "( 7.71 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.71 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.71 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.71 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.71 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.72 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.72 sec) Clustered ROM : DEBUG -> Training segment 35 slice(840, 864, None)\n", + "( 7.72 sec) ARMA : DEBUG -> Training...\n", + "( 7.72 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.72 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.72 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.72 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.72 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.75 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.75 sec) Clustered ROM : DEBUG -> Training segment 36 slice(864, 888, None)\n", + "( 7.75 sec) ARMA : DEBUG -> Training...\n", + "( 7.75 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.75 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.75 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.75 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.75 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.76 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.76 sec) Clustered ROM : DEBUG -> Training segment 37 slice(888, 912, None)\n", + "( 7.76 sec) ARMA : DEBUG -> Training...\n", + "( 7.76 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.76 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.76 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.76 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.76 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.78 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.78 sec) Clustered ROM : DEBUG -> Training segment 38 slice(912, 936, None)\n", + "( 7.78 sec) ARMA : DEBUG -> Training...\n", + "( 7.78 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.78 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.78 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.78 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.78 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.79 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.79 sec) Clustered ROM : DEBUG -> Training segment 39 slice(936, 960, None)\n", + "( 7.79 sec) ARMA : DEBUG -> Training...\n", + "( 7.79 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.79 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.79 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.79 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.79 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.80 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.80 sec) Clustered ROM : DEBUG -> Training segment 40 slice(960, 984, None)\n", + "( 7.80 sec) ARMA : DEBUG -> Training...\n", + "( 7.80 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.80 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.80 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.80 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.80 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.81 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.81 sec) Clustered ROM : DEBUG -> Training segment 41 slice(984, 1008, None)\n", + "( 7.81 sec) ARMA : DEBUG -> Training...\n", + "( 7.81 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.81 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.81 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.81 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.81 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.82 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.82 sec) Clustered ROM : DEBUG -> Training segment 42 slice(1008, 1032, None)\n", + "( 7.82 sec) ARMA : DEBUG -> Training...\n", + "( 7.82 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.82 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.82 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.83 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.83 sec) Clustered ROM : DEBUG -> Training segment 43 slice(1032, 1056, None)\n", + "( 7.83 sec) ARMA : DEBUG -> Training...\n", + "( 7.83 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.83 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.83 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.84 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.84 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.85 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.85 sec) Clustered ROM : DEBUG -> Training segment 44 slice(1056, 1080, None)\n", + "( 7.85 sec) ARMA : DEBUG -> Training...\n", + "( 7.85 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.85 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.85 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.85 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.85 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.85 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.85 sec) Clustered ROM : DEBUG -> Training segment 45 slice(1080, 1104, None)\n", + "( 7.85 sec) ARMA : DEBUG -> Training...\n", + "( 7.85 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.85 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.85 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.85 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.85 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.87 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.87 sec) Clustered ROM : DEBUG -> Training segment 46 slice(1104, 1128, None)\n", + "( 7.87 sec) ARMA : DEBUG -> Training...\n", + "( 7.87 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.87 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.87 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.87 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.87 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.89 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.89 sec) Clustered ROM : DEBUG -> Training segment 47 slice(1128, 1152, None)\n", + "( 7.89 sec) ARMA : DEBUG -> Training...\n", + "( 7.89 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.89 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.89 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.89 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.89 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.92 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.92 sec) Clustered ROM : DEBUG -> Training segment 48 slice(1152, 1176, None)\n", + "( 7.92 sec) ARMA : DEBUG -> Training...\n", + "( 7.92 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.92 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.92 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.92 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.92 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.93 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.93 sec) Clustered ROM : DEBUG -> Training segment 49 slice(1176, 1200, None)\n", + "( 7.93 sec) ARMA : DEBUG -> Training...\n", + "( 7.93 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.93 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.93 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.93 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.93 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.94 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.94 sec) Clustered ROM : DEBUG -> Training segment 50 slice(1200, 1224, None)\n", + "( 7.94 sec) ARMA : DEBUG -> Training...\n", + "( 7.94 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.94 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.94 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.94 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.94 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.95 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.95 sec) Clustered ROM : DEBUG -> Training segment 51 slice(1224, 1248, None)\n", + "( 7.95 sec) ARMA : DEBUG -> Training...\n", + "( 7.95 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.95 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.95 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.95 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.95 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.97 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.97 sec) Clustered ROM : DEBUG -> Training segment 52 slice(1248, 1272, None)\n", + "( 7.97 sec) ARMA : DEBUG -> Training...\n", + "( 7.97 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 7.97 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 7.97 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 7.97 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 7.97 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 7.99 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 7.99 sec) Clustered ROM : DEBUG -> Training segment 53 slice(1272, 1296, None)\n", + "( 7.99 sec) ARMA : DEBUG -> Training...\n", + "( 8.00 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.00 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.00 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.00 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.00 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.01 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.01 sec) Clustered ROM : DEBUG -> Training segment 54 slice(1296, 1320, None)\n", + "( 8.01 sec) ARMA : DEBUG -> Training...\n", + "( 8.01 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.01 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.01 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.01 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.01 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.02 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.02 sec) Clustered ROM : DEBUG -> Training segment 55 slice(1320, 1344, None)\n", + "( 8.02 sec) ARMA : DEBUG -> Training...\n", + "( 8.02 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.02 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.02 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.02 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.02 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.03 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.03 sec) Clustered ROM : DEBUG -> Training segment 56 slice(1344, 1368, None)\n", + "( 8.03 sec) ARMA : DEBUG -> Training...\n", + "( 8.03 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.03 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.03 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.03 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.03 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.04 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.04 sec) Clustered ROM : DEBUG -> Training segment 57 slice(1368, 1392, None)\n", + "( 8.04 sec) ARMA : DEBUG -> Training...\n", + "( 8.04 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.04 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.04 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.04 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.04 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.05 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.05 sec) Clustered ROM : DEBUG -> Training segment 58 slice(1392, 1416, None)\n", + "( 8.05 sec) ARMA : DEBUG -> Training...\n", + "( 8.05 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.05 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.05 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.05 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.05 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.06 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.06 sec) Clustered ROM : DEBUG -> Training segment 59 slice(1416, 1440, None)\n", + "( 8.06 sec) ARMA : DEBUG -> Training...\n", + "( 8.06 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.06 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.06 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.06 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.06 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.07 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.08 sec) Clustered ROM : DEBUG -> Training segment 60 slice(1440, 1464, None)\n", + "( 8.08 sec) ARMA : DEBUG -> Training...\n", + "( 8.08 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.08 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.08 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.08 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.08 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.08 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.08 sec) Clustered ROM : DEBUG -> Training segment 61 slice(1464, 1488, None)\n", + "( 8.08 sec) ARMA : DEBUG -> Training...\n", + "( 8.08 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.08 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.08 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.08 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.08 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.09 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.09 sec) Clustered ROM : DEBUG -> Training segment 62 slice(1488, 1512, None)\n", + "( 8.09 sec) ARMA : DEBUG -> Training...\n", + "( 8.09 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.09 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.09 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.09 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.09 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.10 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.10 sec) Clustered ROM : DEBUG -> Training segment 63 slice(1512, 1536, None)\n", + "( 8.10 sec) ARMA : DEBUG -> Training...\n", + "( 8.10 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.10 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.10 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.10 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.10 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.11 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.11 sec) Clustered ROM : DEBUG -> Training segment 64 slice(1536, 1560, None)\n", + "( 8.11 sec) ARMA : DEBUG -> Training...\n", + "( 8.11 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.11 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.11 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.11 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.12 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.12 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.12 sec) Clustered ROM : DEBUG -> Training segment 65 slice(1560, 1584, None)\n", + "( 8.12 sec) ARMA : DEBUG -> Training...\n", + "( 8.12 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.12 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.12 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.12 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.12 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.14 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.14 sec) Clustered ROM : DEBUG -> Training segment 66 slice(1584, 1608, None)\n", + "( 8.14 sec) ARMA : DEBUG -> Training...\n", + "( 8.14 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.14 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.14 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.14 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.14 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.15 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.15 sec) Clustered ROM : DEBUG -> Training segment 67 slice(1608, 1632, None)\n", + "( 8.15 sec) ARMA : DEBUG -> Training...\n", + "( 8.15 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.15 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.15 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.15 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.15 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.17 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.17 sec) Clustered ROM : DEBUG -> Training segment 68 slice(1632, 1656, None)\n", + "( 8.17 sec) ARMA : DEBUG -> Training...\n", + "( 8.17 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.17 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.17 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.17 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.18 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.19 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.19 sec) Clustered ROM : DEBUG -> Training segment 69 slice(1656, 1680, None)\n", + "( 8.19 sec) ARMA : DEBUG -> Training...\n", + "( 8.19 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.19 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.19 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.19 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.19 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.20 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.20 sec) Clustered ROM : DEBUG -> Training segment 70 slice(1680, 1704, None)\n", + "( 8.20 sec) ARMA : DEBUG -> Training...\n", + "( 8.20 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.20 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.20 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.20 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.20 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.21 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.21 sec) Clustered ROM : DEBUG -> Training segment 71 slice(1704, 1728, None)\n", + "( 8.21 sec) ARMA : DEBUG -> Training...\n", + "( 8.21 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.21 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.21 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.21 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.21 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.22 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.22 sec) Clustered ROM : DEBUG -> Training segment 72 slice(1728, 1752, None)\n", + "( 8.22 sec) ARMA : DEBUG -> Training...\n", + "( 8.22 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.22 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.22 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.23 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.23 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.24 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.24 sec) Clustered ROM : DEBUG -> Training segment 73 slice(1752, 1776, None)\n", + "( 8.24 sec) ARMA : DEBUG -> Training...\n", + "( 8.24 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.24 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.24 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.24 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.24 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.25 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.25 sec) Clustered ROM : DEBUG -> Training segment 74 slice(1776, 1800, None)\n", + "( 8.25 sec) ARMA : DEBUG -> Training...\n", + "( 8.25 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.25 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.25 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.25 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.25 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.26 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.26 sec) Clustered ROM : DEBUG -> Training segment 75 slice(1800, 1824, None)\n", + "( 8.26 sec) ARMA : DEBUG -> Training...\n", + "( 8.26 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.26 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.26 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.26 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.26 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.27 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.27 sec) Clustered ROM : DEBUG -> Training segment 76 slice(1824, 1848, None)\n", + "( 8.27 sec) ARMA : DEBUG -> Training...\n", + "( 8.27 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.27 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.27 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.27 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.27 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.29 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.29 sec) Clustered ROM : DEBUG -> Training segment 77 slice(1848, 1872, None)\n", + "( 8.29 sec) ARMA : DEBUG -> Training...\n", + "( 8.29 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.29 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.29 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.29 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.29 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.30 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.30 sec) Clustered ROM : DEBUG -> Training segment 78 slice(1872, 1896, None)\n", + "( 8.30 sec) ARMA : DEBUG -> Training...\n", + "( 8.30 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.30 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.30 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.30 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.30 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.30 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.30 sec) Clustered ROM : DEBUG -> Training segment 79 slice(1896, 1920, None)\n", + "( 8.30 sec) ARMA : DEBUG -> Training...\n", + "( 8.30 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.30 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.30 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.30 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.30 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.32 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.32 sec) Clustered ROM : DEBUG -> Training segment 80 slice(1920, 1944, None)\n", + "( 8.32 sec) ARMA : DEBUG -> Training...\n", + "( 8.32 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.32 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.32 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.32 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.32 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.33 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.33 sec) Clustered ROM : DEBUG -> Training segment 81 slice(1944, 1968, None)\n", + "( 8.33 sec) ARMA : DEBUG -> Training...\n", + "( 8.33 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.33 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.33 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.33 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.33 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.34 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.34 sec) Clustered ROM : DEBUG -> Training segment 82 slice(1968, 1992, None)\n", + "( 8.34 sec) ARMA : DEBUG -> Training...\n", + "( 8.34 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.34 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.34 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.34 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.35 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.35 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.35 sec) Clustered ROM : DEBUG -> Training segment 83 slice(1992, 2016, None)\n", + "( 8.35 sec) ARMA : DEBUG -> Training...\n", + "( 8.35 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.35 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.35 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.35 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.35 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.36 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.36 sec) Clustered ROM : DEBUG -> Training segment 84 slice(2016, 2040, None)\n", + "( 8.36 sec) ARMA : DEBUG -> Training...\n", + "( 8.36 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.36 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.36 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.36 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.36 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.37 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.37 sec) Clustered ROM : DEBUG -> Training segment 85 slice(2040, 2064, None)\n", + "( 8.37 sec) ARMA : DEBUG -> Training...\n", + "( 8.37 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.37 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.37 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.37 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.37 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.38 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.38 sec) Clustered ROM : DEBUG -> Training segment 86 slice(2064, 2088, None)\n", + "( 8.38 sec) ARMA : DEBUG -> Training...\n", + "( 8.38 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.38 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.38 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.38 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.38 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.39 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.40 sec) Clustered ROM : DEBUG -> Training segment 87 slice(2088, 2112, None)\n", + "( 8.40 sec) ARMA : DEBUG -> Training...\n", + "( 8.40 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.40 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.40 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.40 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.40 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.41 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.41 sec) Clustered ROM : DEBUG -> Training segment 88 slice(2112, 2136, None)\n", + "( 8.41 sec) ARMA : DEBUG -> Training...\n", + "( 8.41 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.41 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.41 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.41 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.41 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.42 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.42 sec) Clustered ROM : DEBUG -> Training segment 89 slice(2136, 2160, None)\n", + "( 8.42 sec) ARMA : DEBUG -> Training...\n", + "( 8.42 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.42 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.42 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.42 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.42 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.43 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.43 sec) Clustered ROM : DEBUG -> Training segment 90 slice(2160, 2184, None)\n", + "( 8.43 sec) ARMA : DEBUG -> Training...\n", + "( 8.43 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.43 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.43 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.43 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.43 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.44 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.44 sec) Clustered ROM : DEBUG -> Training segment 91 slice(2184, 2208, None)\n", + "( 8.44 sec) ARMA : DEBUG -> Training...\n", + "( 8.44 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.44 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.44 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.44 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.44 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.45 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.46 sec) Clustered ROM : DEBUG -> Training segment 92 slice(2208, 2232, None)\n", + "( 8.46 sec) ARMA : DEBUG -> Training...\n", + "( 8.46 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.46 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.46 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.46 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.46 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.46 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.46 sec) Clustered ROM : DEBUG -> Training segment 93 slice(2232, 2256, None)\n", + "( 8.46 sec) ARMA : DEBUG -> Training...\n", + "( 8.46 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.46 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.46 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.46 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.46 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.47 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.47 sec) Clustered ROM : DEBUG -> Training segment 94 slice(2256, 2280, None)\n", + "( 8.47 sec) ARMA : DEBUG -> Training...\n", + "( 8.47 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.47 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.47 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.48 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.48 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.49 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.49 sec) Clustered ROM : DEBUG -> Training segment 95 slice(2280, 2304, None)\n", + "( 8.49 sec) ARMA : DEBUG -> Training...\n", + "( 8.49 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.49 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.49 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.49 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.49 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.50 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.50 sec) Clustered ROM : DEBUG -> Training segment 96 slice(2304, 2328, None)\n", + "( 8.50 sec) ARMA : DEBUG -> Training...\n", + "( 8.50 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.50 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.50 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.50 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.50 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.54 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.54 sec) Clustered ROM : DEBUG -> Training segment 97 slice(2328, 2352, None)\n", + "( 8.54 sec) ARMA : DEBUG -> Training...\n", + "( 8.54 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.54 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.54 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.54 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.54 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.55 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.55 sec) Clustered ROM : DEBUG -> Training segment 98 slice(2352, 2376, None)\n", + "( 8.55 sec) ARMA : DEBUG -> Training...\n", + "( 8.55 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.55 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.55 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.55 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.55 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.56 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.56 sec) Clustered ROM : DEBUG -> Training segment 99 slice(2376, 2400, None)\n", + "( 8.56 sec) ARMA : DEBUG -> Training...\n", + "( 8.56 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.56 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.56 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.56 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.56 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.56 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.56 sec) Clustered ROM : DEBUG -> Training segment 100 slice(2400, 2424, None)\n", + "( 8.56 sec) ARMA : DEBUG -> Training...\n", + "( 8.56 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.56 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.56 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.56 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.56 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.57 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.58 sec) Clustered ROM : DEBUG -> Training segment 101 slice(2424, 2448, None)\n", + "( 8.58 sec) ARMA : DEBUG -> Training...\n", + "( 8.58 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.58 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.58 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.58 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.58 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.60 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.60 sec) Clustered ROM : DEBUG -> Training segment 102 slice(2448, 2472, None)\n", + "( 8.60 sec) ARMA : DEBUG -> Training...\n", + "( 8.60 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.60 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.60 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.61 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.61 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.62 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.62 sec) Clustered ROM : DEBUG -> Training segment 103 slice(2472, 2496, None)\n", + "( 8.62 sec) ARMA : DEBUG -> Training...\n", + "( 8.62 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.62 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.62 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.62 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.62 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.63 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.63 sec) Clustered ROM : DEBUG -> Training segment 104 slice(2496, 2520, None)\n", + "( 8.63 sec) ARMA : DEBUG -> Training...\n", + "( 8.63 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.63 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.63 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.63 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.63 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.64 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.64 sec) Clustered ROM : DEBUG -> Training segment 105 slice(2520, 2544, None)\n", + "( 8.64 sec) ARMA : DEBUG -> Training...\n", + "( 8.64 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.64 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.65 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.65 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.65 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.65 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.65 sec) Clustered ROM : DEBUG -> Training segment 106 slice(2544, 2568, None)\n", + "( 8.65 sec) ARMA : DEBUG -> Training...\n", + "( 8.65 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.65 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.65 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.65 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.65 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.67 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.67 sec) Clustered ROM : DEBUG -> Training segment 107 slice(2568, 2592, None)\n", + "( 8.67 sec) ARMA : DEBUG -> Training...\n", + "( 8.67 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.67 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.67 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.67 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.67 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.69 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.69 sec) Clustered ROM : DEBUG -> Training segment 108 slice(2592, 2616, None)\n", + "( 8.69 sec) ARMA : DEBUG -> Training...\n", + "( 8.69 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.69 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.69 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.69 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.69 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.70 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.70 sec) Clustered ROM : DEBUG -> Training segment 109 slice(2616, 2640, None)\n", + "( 8.70 sec) ARMA : DEBUG -> Training...\n", + "( 8.70 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.70 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.70 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.70 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.70 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.71 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.71 sec) Clustered ROM : DEBUG -> Training segment 110 slice(2640, 2664, None)\n", + "( 8.71 sec) ARMA : DEBUG -> Training...\n", + "( 8.71 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.71 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.71 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.71 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.71 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.73 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.73 sec) Clustered ROM : DEBUG -> Training segment 111 slice(2664, 2688, None)\n", + "( 8.73 sec) ARMA : DEBUG -> Training...\n", + "( 8.73 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.73 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.73 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.73 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.73 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.74 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.74 sec) Clustered ROM : DEBUG -> Training segment 112 slice(2688, 2712, None)\n", + "( 8.74 sec) ARMA : DEBUG -> Training...\n", + "( 8.74 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.74 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.74 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.74 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.74 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.75 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.75 sec) Clustered ROM : DEBUG -> Training segment 113 slice(2712, 2736, None)\n", + "( 8.75 sec) ARMA : DEBUG -> Training...\n", + "( 8.75 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.75 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.75 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.75 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.75 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.76 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.76 sec) Clustered ROM : DEBUG -> Training segment 114 slice(2736, 2760, None)\n", + "( 8.76 sec) ARMA : DEBUG -> Training...\n", + "( 8.76 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.76 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.76 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.76 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.76 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.78 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.78 sec) Clustered ROM : DEBUG -> Training segment 115 slice(2760, 2784, None)\n", + "( 8.78 sec) ARMA : DEBUG -> Training...\n", + "( 8.78 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.78 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.78 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.78 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.78 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.79 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.79 sec) Clustered ROM : DEBUG -> Training segment 116 slice(2784, 2808, None)\n", + "( 8.79 sec) ARMA : DEBUG -> Training...\n", + "( 8.79 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.79 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.79 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.79 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.79 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.80 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.80 sec) Clustered ROM : DEBUG -> Training segment 117 slice(2808, 2832, None)\n", + "( 8.80 sec) ARMA : DEBUG -> Training...\n", + "( 8.80 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.80 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.80 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.80 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.80 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.84 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.84 sec) Clustered ROM : DEBUG -> Training segment 118 slice(2832, 2856, None)\n", + "( 8.84 sec) ARMA : DEBUG -> Training...\n", + "( 8.84 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.84 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.84 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.84 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.84 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.85 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.85 sec) Clustered ROM : DEBUG -> Training segment 119 slice(2856, 2880, None)\n", + "( 8.85 sec) ARMA : DEBUG -> Training...\n", + "( 8.85 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.85 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.85 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.85 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.85 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.89 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.89 sec) Clustered ROM : DEBUG -> Training segment 120 slice(2880, 2904, None)\n", + "( 8.89 sec) ARMA : DEBUG -> Training...\n", + "( 8.89 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.89 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.89 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.89 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.89 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.89 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.89 sec) Clustered ROM : DEBUG -> Training segment 121 slice(2904, 2928, None)\n", + "( 8.89 sec) ARMA : DEBUG -> Training...\n", + "( 8.89 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.89 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.89 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.89 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.89 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.91 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.91 sec) Clustered ROM : DEBUG -> Training segment 122 slice(2928, 2952, None)\n", + "( 8.91 sec) ARMA : DEBUG -> Training...\n", + "( 8.91 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.91 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.91 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.91 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.91 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.92 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.92 sec) Clustered ROM : DEBUG -> Training segment 123 slice(2952, 2976, None)\n", + "( 8.92 sec) ARMA : DEBUG -> Training...\n", + "( 8.92 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.92 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.92 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.92 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.92 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.93 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.93 sec) Clustered ROM : DEBUG -> Training segment 124 slice(2976, 3000, None)\n", + "( 8.93 sec) ARMA : DEBUG -> Training...\n", + "( 8.93 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.93 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.93 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.93 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.93 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.94 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.94 sec) Clustered ROM : DEBUG -> Training segment 125 slice(3000, 3024, None)\n", + "( 8.94 sec) ARMA : DEBUG -> Training...\n", + "( 8.94 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.94 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.94 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.94 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.94 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.95 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.95 sec) Clustered ROM : DEBUG -> Training segment 126 slice(3024, 3048, None)\n", + "( 8.95 sec) ARMA : DEBUG -> Training...\n", + "( 8.95 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.95 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.95 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.95 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.95 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.96 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.96 sec) Clustered ROM : DEBUG -> Training segment 127 slice(3048, 3072, None)\n", + "( 8.96 sec) ARMA : DEBUG -> Training...\n", + "( 8.96 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.96 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.96 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.96 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.97 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.98 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.98 sec) Clustered ROM : DEBUG -> Training segment 128 slice(3072, 3096, None)\n", + "( 8.98 sec) ARMA : DEBUG -> Training...\n", + "( 8.98 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.98 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.98 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.98 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.98 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 8.99 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 8.99 sec) Clustered ROM : DEBUG -> Training segment 129 slice(3096, 3120, None)\n", + "( 8.99 sec) ARMA : DEBUG -> Training...\n", + "( 8.99 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 8.99 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 8.99 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 8.99 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 8.99 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.00 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.00 sec) Clustered ROM : DEBUG -> Training segment 130 slice(3120, 3144, None)\n", + "( 9.00 sec) ARMA : DEBUG -> Training...\n", + "( 9.00 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.00 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.00 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.00 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.00 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.01 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.01 sec) Clustered ROM : DEBUG -> Training segment 131 slice(3144, 3168, None)\n", + "( 9.01 sec) ARMA : DEBUG -> Training...\n", + "( 9.01 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.01 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.01 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.01 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.01 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.02 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.02 sec) Clustered ROM : DEBUG -> Training segment 132 slice(3168, 3192, None)\n", + "( 9.02 sec) ARMA : DEBUG -> Training...\n", + "( 9.02 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.02 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.02 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.02 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.02 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.03 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.03 sec) Clustered ROM : DEBUG -> Training segment 133 slice(3192, 3216, None)\n", + "( 9.03 sec) ARMA : DEBUG -> Training...\n", + "( 9.03 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.03 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.03 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.04 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.04 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.04 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.04 sec) Clustered ROM : DEBUG -> Training segment 134 slice(3216, 3240, None)\n", + "( 9.04 sec) ARMA : DEBUG -> Training...\n", + "( 9.04 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.04 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.04 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.04 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.04 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.05 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.05 sec) Clustered ROM : DEBUG -> Training segment 135 slice(3240, 3264, None)\n", + "( 9.05 sec) ARMA : DEBUG -> Training...\n", + "( 9.05 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.05 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.05 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.05 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.05 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.07 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.07 sec) Clustered ROM : DEBUG -> Training segment 136 slice(3264, 3288, None)\n", + "( 9.07 sec) ARMA : DEBUG -> Training...\n", + "( 9.07 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.07 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.07 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.07 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.07 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.09 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.09 sec) Clustered ROM : DEBUG -> Training segment 137 slice(3288, 3312, None)\n", + "( 9.09 sec) ARMA : DEBUG -> Training...\n", + "( 9.09 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.09 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.09 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.09 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.09 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.09 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.09 sec) Clustered ROM : DEBUG -> Training segment 138 slice(3312, 3336, None)\n", + "( 9.09 sec) ARMA : DEBUG -> Training...\n", + "( 9.09 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.09 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.09 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.09 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.09 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.11 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.11 sec) Clustered ROM : DEBUG -> Training segment 139 slice(3336, 3360, None)\n", + "( 9.11 sec) ARMA : DEBUG -> Training...\n", + "( 9.11 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.11 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.11 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.11 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.11 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.13 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.13 sec) Clustered ROM : DEBUG -> Training segment 140 slice(3360, 3384, None)\n", + "( 9.13 sec) ARMA : DEBUG -> Training...\n", + "( 9.13 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.13 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.13 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.13 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.13 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.14 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.14 sec) Clustered ROM : DEBUG -> Training segment 141 slice(3384, 3408, None)\n", + "( 9.14 sec) ARMA : DEBUG -> Training...\n", + "( 9.14 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.14 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.14 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.14 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.14 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.15 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.15 sec) Clustered ROM : DEBUG -> Training segment 142 slice(3408, 3432, None)\n", + "( 9.15 sec) ARMA : DEBUG -> Training...\n", + "( 9.15 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.15 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.15 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.15 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.15 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.16 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.16 sec) Clustered ROM : DEBUG -> Training segment 143 slice(3432, 3456, None)\n", + "( 9.16 sec) ARMA : DEBUG -> Training...\n", + "( 9.16 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.16 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.16 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.16 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.16 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.17 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.17 sec) Clustered ROM : DEBUG -> Training segment 144 slice(3456, 3480, None)\n", + "( 9.18 sec) ARMA : DEBUG -> Training...\n", + "( 9.18 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.18 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.18 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.18 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.18 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.19 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.19 sec) Clustered ROM : DEBUG -> Training segment 145 slice(3480, 3504, None)\n", + "( 9.19 sec) ARMA : DEBUG -> Training...\n", + "( 9.19 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.19 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.19 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.19 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.19 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.19 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.19 sec) Clustered ROM : DEBUG -> Training segment 146 slice(3504, 3528, None)\n", + "( 9.19 sec) ARMA : DEBUG -> Training...\n", + "( 9.19 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.19 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.19 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.19 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.19 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.21 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.21 sec) Clustered ROM : DEBUG -> Training segment 147 slice(3528, 3552, None)\n", + "( 9.21 sec) ARMA : DEBUG -> Training...\n", + "( 9.21 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.21 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.21 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.21 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.21 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.22 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.22 sec) Clustered ROM : DEBUG -> Training segment 148 slice(3552, 3576, None)\n", + "( 9.22 sec) ARMA : DEBUG -> Training...\n", + "( 9.22 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.22 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.22 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.22 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.22 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.23 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.23 sec) Clustered ROM : DEBUG -> Training segment 149 slice(3576, 3600, None)\n", + "( 9.23 sec) ARMA : DEBUG -> Training...\n", + "( 9.23 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.23 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.23 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.23 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.23 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.24 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.24 sec) Clustered ROM : DEBUG -> Training segment 150 slice(3600, 3624, None)\n", + "( 9.24 sec) ARMA : DEBUG -> Training...\n", + "( 9.24 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.24 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.24 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.24 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.24 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.25 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.26 sec) Clustered ROM : DEBUG -> Training segment 151 slice(3624, 3648, None)\n", + "( 9.26 sec) ARMA : DEBUG -> Training...\n", + "( 9.26 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.26 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.26 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.26 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.26 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.27 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.27 sec) Clustered ROM : DEBUG -> Training segment 152 slice(3648, 3672, None)\n", + "( 9.27 sec) ARMA : DEBUG -> Training...\n", + "( 9.27 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.27 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.27 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.27 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.27 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.28 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.28 sec) Clustered ROM : DEBUG -> Training segment 153 slice(3672, 3696, None)\n", + "( 9.28 sec) ARMA : DEBUG -> Training...\n", + "( 9.28 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.28 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.28 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.28 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.28 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.29 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.29 sec) Clustered ROM : DEBUG -> Training segment 154 slice(3696, 3720, None)\n", + "( 9.29 sec) ARMA : DEBUG -> Training...\n", + "( 9.29 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.29 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.29 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.30 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.30 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.30 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.30 sec) Clustered ROM : DEBUG -> Training segment 155 slice(3720, 3744, None)\n", + "( 9.30 sec) ARMA : DEBUG -> Training...\n", + "( 9.30 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.30 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.30 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.30 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.30 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.31 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.31 sec) Clustered ROM : DEBUG -> Training segment 156 slice(3744, 3768, None)\n", + "( 9.31 sec) ARMA : DEBUG -> Training...\n", + "( 9.31 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.31 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.31 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.31 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.31 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.34 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.34 sec) Clustered ROM : DEBUG -> Training segment 157 slice(3768, 3792, None)\n", + "( 9.34 sec) ARMA : DEBUG -> Training...\n", + "( 9.34 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.34 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.34 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.34 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.34 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.35 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.35 sec) Clustered ROM : DEBUG -> Training segment 158 slice(3792, 3816, None)\n", + "( 9.35 sec) ARMA : DEBUG -> Training...\n", + "( 9.35 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.35 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.35 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.35 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.35 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.37 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.37 sec) Clustered ROM : DEBUG -> Training segment 159 slice(3816, 3840, None)\n", + "( 9.37 sec) ARMA : DEBUG -> Training...\n", + "( 9.37 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.37 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.37 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.37 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.37 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.38 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.38 sec) Clustered ROM : DEBUG -> Training segment 160 slice(3840, 3864, None)\n", + "( 9.38 sec) ARMA : DEBUG -> Training...\n", + "( 9.38 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.38 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.38 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.38 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.39 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.39 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.39 sec) Clustered ROM : DEBUG -> Training segment 161 slice(3864, 3888, None)\n", + "( 9.39 sec) ARMA : DEBUG -> Training...\n", + "( 9.39 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.39 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.39 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.39 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.39 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.40 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.40 sec) Clustered ROM : DEBUG -> Training segment 162 slice(3888, 3912, None)\n", + "( 9.40 sec) ARMA : DEBUG -> Training...\n", + "( 9.40 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.40 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.40 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.40 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.40 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.42 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.42 sec) Clustered ROM : DEBUG -> Training segment 163 slice(3912, 3936, None)\n", + "( 9.42 sec) ARMA : DEBUG -> Training...\n", + "( 9.42 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.42 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.42 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.42 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.42 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.43 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.43 sec) Clustered ROM : DEBUG -> Training segment 164 slice(3936, 3960, None)\n", + "( 9.43 sec) ARMA : DEBUG -> Training...\n", + "( 9.43 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.43 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.43 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.43 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.43 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.43 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.43 sec) Clustered ROM : DEBUG -> Training segment 165 slice(3960, 3984, None)\n", + "( 9.43 sec) ARMA : DEBUG -> Training...\n", + "( 9.43 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.43 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.43 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.43 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.43 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.44 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.44 sec) Clustered ROM : DEBUG -> Training segment 166 slice(3984, 4008, None)\n", + "( 9.44 sec) ARMA : DEBUG -> Training...\n", + "( 9.44 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.44 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.44 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.44 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.45 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.45 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.45 sec) Clustered ROM : DEBUG -> Training segment 167 slice(4008, 4032, None)\n", + "( 9.45 sec) ARMA : DEBUG -> Training...\n", + "( 9.45 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.45 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.45 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.45 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.45 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.47 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.47 sec) Clustered ROM : DEBUG -> Training segment 168 slice(4032, 4056, None)\n", + "( 9.47 sec) ARMA : DEBUG -> Training...\n", + "( 9.47 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.47 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.47 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.47 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.47 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.48 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.48 sec) Clustered ROM : DEBUG -> Training segment 169 slice(4056, 4080, None)\n", + "( 9.48 sec) ARMA : DEBUG -> Training...\n", + "( 9.48 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.48 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.48 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.48 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.48 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.49 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.49 sec) Clustered ROM : DEBUG -> Training segment 170 slice(4080, 4104, None)\n", + "( 9.49 sec) ARMA : DEBUG -> Training...\n", + "( 9.49 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.49 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.49 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.49 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.49 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.50 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.50 sec) Clustered ROM : DEBUG -> Training segment 171 slice(4104, 4128, None)\n", + "( 9.50 sec) ARMA : DEBUG -> Training...\n", + "( 9.50 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.50 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.50 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.50 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.50 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.51 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.51 sec) Clustered ROM : DEBUG -> Training segment 172 slice(4128, 4152, None)\n", + "( 9.51 sec) ARMA : DEBUG -> Training...\n", + "( 9.51 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.51 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.51 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.51 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.52 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.53 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.53 sec) Clustered ROM : DEBUG -> Training segment 173 slice(4152, 4176, None)\n", + "( 9.53 sec) ARMA : DEBUG -> Training...\n", + "( 9.53 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.53 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.53 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.53 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.53 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.54 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.54 sec) Clustered ROM : DEBUG -> Training segment 174 slice(4176, 4200, None)\n", + "( 9.54 sec) ARMA : DEBUG -> Training...\n", + "( 9.54 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.54 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.54 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.54 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.54 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.54 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.54 sec) Clustered ROM : DEBUG -> Training segment 175 slice(4200, 4224, None)\n", + "( 9.54 sec) ARMA : DEBUG -> Training...\n", + "( 9.54 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.54 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.54 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.54 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.54 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.55 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.56 sec) Clustered ROM : DEBUG -> Training segment 176 slice(4224, 4248, None)\n", + "( 9.56 sec) ARMA : DEBUG -> Training...\n", + "( 9.56 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.56 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.56 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.56 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.56 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.57 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.57 sec) Clustered ROM : DEBUG -> Training segment 177 slice(4248, 4272, None)\n", + "( 9.57 sec) ARMA : DEBUG -> Training...\n", + "( 9.57 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.57 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.57 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.57 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.57 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.58 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.58 sec) Clustered ROM : DEBUG -> Training segment 178 slice(4272, 4296, None)\n", + "( 9.58 sec) ARMA : DEBUG -> Training...\n", + "( 9.58 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.58 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.58 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.58 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.58 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.59 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.59 sec) Clustered ROM : DEBUG -> Training segment 179 slice(4296, 4320, None)\n", + "( 9.59 sec) ARMA : DEBUG -> Training...\n", + "( 9.59 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.59 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.59 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.59 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.59 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.60 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.60 sec) Clustered ROM : DEBUG -> Training segment 180 slice(4320, 4344, None)\n", + "( 9.60 sec) ARMA : DEBUG -> Training...\n", + "( 9.60 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.60 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.60 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.60 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.60 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.61 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.61 sec) Clustered ROM : DEBUG -> Training segment 181 slice(4344, 4368, None)\n", + "( 9.61 sec) ARMA : DEBUG -> Training...\n", + "( 9.61 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.61 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.61 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.61 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.61 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.62 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.62 sec) Clustered ROM : DEBUG -> Training segment 182 slice(4368, 4392, None)\n", + "( 9.62 sec) ARMA : DEBUG -> Training...\n", + "( 9.62 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.62 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.62 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.62 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.63 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.64 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.64 sec) Clustered ROM : DEBUG -> Training segment 183 slice(4392, 4416, None)\n", + "( 9.64 sec) ARMA : DEBUG -> Training...\n", + "( 9.64 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.64 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.64 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.64 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.64 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.64 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.64 sec) Clustered ROM : DEBUG -> Training segment 184 slice(4416, 4440, None)\n", + "( 9.64 sec) ARMA : DEBUG -> Training...\n", + "( 9.64 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.64 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.64 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.64 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.64 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.65 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.65 sec) Clustered ROM : DEBUG -> Training segment 185 slice(4440, 4464, None)\n", + "( 9.65 sec) ARMA : DEBUG -> Training...\n", + "( 9.65 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.65 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.65 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.66 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.66 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.67 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.67 sec) Clustered ROM : DEBUG -> Training segment 186 slice(4464, 4488, None)\n", + "( 9.67 sec) ARMA : DEBUG -> Training...\n", + "( 9.67 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.67 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.67 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.67 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.67 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.68 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.68 sec) Clustered ROM : DEBUG -> Training segment 187 slice(4488, 4512, None)\n", + "( 9.68 sec) ARMA : DEBUG -> Training...\n", + "( 9.68 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.68 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.69 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.69 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.69 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.69 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.69 sec) Clustered ROM : DEBUG -> Training segment 188 slice(4512, 4536, None)\n", + "( 9.69 sec) ARMA : DEBUG -> Training...\n", + "( 9.69 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.69 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.69 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.70 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.70 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.71 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.71 sec) Clustered ROM : DEBUG -> Training segment 189 slice(4536, 4560, None)\n", + "( 9.71 sec) ARMA : DEBUG -> Training...\n", + "( 9.71 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.71 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.71 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.71 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.71 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.72 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.72 sec) Clustered ROM : DEBUG -> Training segment 190 slice(4560, 4584, None)\n", + "( 9.72 sec) ARMA : DEBUG -> Training...\n", + "( 9.72 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.72 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.72 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.72 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.72 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.74 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.74 sec) Clustered ROM : DEBUG -> Training segment 191 slice(4584, 4608, None)\n", + "( 9.74 sec) ARMA : DEBUG -> Training...\n", + "( 9.74 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.74 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.74 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.74 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.74 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.76 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.76 sec) Clustered ROM : DEBUG -> Training segment 192 slice(4608, 4632, None)\n", + "( 9.76 sec) ARMA : DEBUG -> Training...\n", + "( 9.76 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.76 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.76 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.76 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.76 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.78 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.78 sec) Clustered ROM : DEBUG -> Training segment 193 slice(4632, 4656, None)\n", + "( 9.78 sec) ARMA : DEBUG -> Training...\n", + "( 9.78 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.78 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.78 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.78 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.78 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.79 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.79 sec) Clustered ROM : DEBUG -> Training segment 194 slice(4656, 4680, None)\n", + "( 9.79 sec) ARMA : DEBUG -> Training...\n", + "( 9.79 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.79 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.79 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.79 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.79 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.80 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.80 sec) Clustered ROM : DEBUG -> Training segment 195 slice(4680, 4704, None)\n", + "( 9.80 sec) ARMA : DEBUG -> Training...\n", + "( 9.80 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.80 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.80 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.80 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.80 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.82 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.82 sec) Clustered ROM : DEBUG -> Training segment 196 slice(4704, 4728, None)\n", + "( 9.82 sec) ARMA : DEBUG -> Training...\n", + "( 9.82 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.82 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.82 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.83 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.83 sec) Clustered ROM : DEBUG -> Training segment 197 slice(4728, 4752, None)\n", + "( 9.83 sec) ARMA : DEBUG -> Training...\n", + "( 9.83 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.83 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.83 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.83 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.83 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.84 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.84 sec) Clustered ROM : DEBUG -> Training segment 198 slice(4752, 4776, None)\n", + "( 9.84 sec) ARMA : DEBUG -> Training...\n", + "( 9.84 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.84 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.84 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.84 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.84 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.85 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.85 sec) Clustered ROM : DEBUG -> Training segment 199 slice(4776, 4800, None)\n", + "( 9.85 sec) ARMA : DEBUG -> Training...\n", + "( 9.85 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.85 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.85 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.85 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.85 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.86 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.86 sec) Clustered ROM : DEBUG -> Training segment 200 slice(4800, 4824, None)\n", + "( 9.86 sec) ARMA : DEBUG -> Training...\n", + "( 9.86 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.86 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.86 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.86 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.86 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.88 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.88 sec) Clustered ROM : DEBUG -> Training segment 201 slice(4824, 4848, None)\n", + "( 9.88 sec) ARMA : DEBUG -> Training...\n", + "( 9.88 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.88 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.88 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.88 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.88 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.89 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.89 sec) Clustered ROM : DEBUG -> Training segment 202 slice(4848, 4872, None)\n", + "( 9.89 sec) ARMA : DEBUG -> Training...\n", + "( 9.89 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.89 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.89 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.89 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.89 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.89 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.89 sec) Clustered ROM : DEBUG -> Training segment 203 slice(4872, 4896, None)\n", + "( 9.89 sec) ARMA : DEBUG -> Training...\n", + "( 9.89 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.89 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.89 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.89 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.89 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.90 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.90 sec) Clustered ROM : DEBUG -> Training segment 204 slice(4896, 4920, None)\n", + "( 9.90 sec) ARMA : DEBUG -> Training...\n", + "( 9.90 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.90 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.90 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.91 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.91 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.92 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.92 sec) Clustered ROM : DEBUG -> Training segment 205 slice(4920, 4944, None)\n", + "( 9.92 sec) ARMA : DEBUG -> Training...\n", + "( 9.92 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.92 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.92 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.92 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.92 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.93 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.93 sec) Clustered ROM : DEBUG -> Training segment 206 slice(4944, 4968, None)\n", + "( 9.93 sec) ARMA : DEBUG -> Training...\n", + "( 9.93 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.93 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.93 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.93 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.93 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.94 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.94 sec) Clustered ROM : DEBUG -> Training segment 207 slice(4968, 4992, None)\n", + "( 9.94 sec) ARMA : DEBUG -> Training...\n", + "( 9.94 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.94 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.94 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.94 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.94 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.95 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.95 sec) Clustered ROM : DEBUG -> Training segment 208 slice(4992, 5016, None)\n", + "( 9.95 sec) ARMA : DEBUG -> Training...\n", + "( 9.95 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.95 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.95 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.95 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.95 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.96 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.97 sec) Clustered ROM : DEBUG -> Training segment 209 slice(5016, 5040, None)\n", + "( 9.97 sec) ARMA : DEBUG -> Training...\n", + "( 9.97 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.97 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.97 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.97 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.97 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 9.98 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 9.98 sec) Clustered ROM : DEBUG -> Training segment 210 slice(5040, 5064, None)\n", + "( 9.98 sec) ARMA : DEBUG -> Training...\n", + "( 9.98 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 9.98 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 9.98 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 9.98 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 9.98 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.02 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.02 sec) Clustered ROM : DEBUG -> Training segment 211 slice(5064, 5088, None)\n", + "( 10.02 sec) ARMA : DEBUG -> Training...\n", + "( 10.02 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.02 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.02 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.02 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.02 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.03 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.03 sec) Clustered ROM : DEBUG -> Training segment 212 slice(5088, 5112, None)\n", + "( 10.03 sec) ARMA : DEBUG -> Training...\n", + "( 10.03 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.03 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.03 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.04 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.04 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.05 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.05 sec) Clustered ROM : DEBUG -> Training segment 213 slice(5112, 5136, None)\n", + "( 10.05 sec) ARMA : DEBUG -> Training...\n", + "( 10.05 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.05 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.05 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.05 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.05 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.08 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.08 sec) Clustered ROM : DEBUG -> Training segment 214 slice(5136, 5160, None)\n", + "( 10.08 sec) ARMA : DEBUG -> Training...\n", + "( 10.08 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.08 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.08 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.08 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.08 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.09 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.09 sec) Clustered ROM : DEBUG -> Training segment 215 slice(5160, 5184, None)\n", + "( 10.09 sec) ARMA : DEBUG -> Training...\n", + "( 10.09 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.09 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.09 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.09 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.09 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.10 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.10 sec) Clustered ROM : DEBUG -> Training segment 216 slice(5184, 5208, None)\n", + "( 10.10 sec) ARMA : DEBUG -> Training...\n", + "( 10.10 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.10 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.10 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.10 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.10 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.11 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.11 sec) Clustered ROM : DEBUG -> Training segment 217 slice(5208, 5232, None)\n", + "( 10.11 sec) ARMA : DEBUG -> Training...\n", + "( 10.11 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.11 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.11 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.11 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.11 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.13 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.13 sec) Clustered ROM : DEBUG -> Training segment 218 slice(5232, 5256, None)\n", + "( 10.13 sec) ARMA : DEBUG -> Training...\n", + "( 10.13 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.13 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.13 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.13 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.13 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.14 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.14 sec) Clustered ROM : DEBUG -> Training segment 219 slice(5256, 5280, None)\n", + "( 10.14 sec) ARMA : DEBUG -> Training...\n", + "( 10.14 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.14 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.14 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.14 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.14 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.16 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.16 sec) Clustered ROM : DEBUG -> Training segment 220 slice(5280, 5304, None)\n", + "( 10.16 sec) ARMA : DEBUG -> Training...\n", + "( 10.16 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.16 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.16 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.16 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.17 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.19 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.19 sec) Clustered ROM : DEBUG -> Training segment 221 slice(5304, 5328, None)\n", + "( 10.19 sec) ARMA : DEBUG -> Training...\n", + "( 10.19 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.19 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.19 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.19 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.19 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.20 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.20 sec) Clustered ROM : DEBUG -> Training segment 222 slice(5328, 5352, None)\n", + "( 10.20 sec) ARMA : DEBUG -> Training...\n", + "( 10.20 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.20 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.20 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.20 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.20 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.21 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.21 sec) Clustered ROM : DEBUG -> Training segment 223 slice(5352, 5376, None)\n", + "( 10.21 sec) ARMA : DEBUG -> Training...\n", + "( 10.21 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.21 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.21 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.22 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.22 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.23 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.23 sec) Clustered ROM : DEBUG -> Training segment 224 slice(5376, 5400, None)\n", + "( 10.23 sec) ARMA : DEBUG -> Training...\n", + "( 10.23 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.23 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.23 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.23 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.23 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.24 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.24 sec) Clustered ROM : DEBUG -> Training segment 225 slice(5400, 5424, None)\n", + "( 10.24 sec) ARMA : DEBUG -> Training...\n", + "( 10.24 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.24 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.24 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.24 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.24 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.24 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.24 sec) Clustered ROM : DEBUG -> Training segment 226 slice(5424, 5448, None)\n", + "( 10.24 sec) ARMA : DEBUG -> Training...\n", + "( 10.24 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.24 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.24 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.25 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.25 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.25 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.25 sec) Clustered ROM : DEBUG -> Training segment 227 slice(5448, 5472, None)\n", + "( 10.25 sec) ARMA : DEBUG -> Training...\n", + "( 10.25 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.25 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.25 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.25 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.25 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.27 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.27 sec) Clustered ROM : DEBUG -> Training segment 228 slice(5472, 5496, None)\n", + "( 10.27 sec) ARMA : DEBUG -> Training...\n", + "( 10.27 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.27 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.27 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.28 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.28 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.29 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.29 sec) Clustered ROM : DEBUG -> Training segment 229 slice(5496, 5520, None)\n", + "( 10.29 sec) ARMA : DEBUG -> Training...\n", + "( 10.29 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.29 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.29 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.29 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.29 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.38 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.38 sec) Clustered ROM : DEBUG -> Training segment 230 slice(5520, 5544, None)\n", + "( 10.38 sec) ARMA : DEBUG -> Training...\n", + "( 10.38 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.38 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.38 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.38 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.38 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.39 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.39 sec) Clustered ROM : DEBUG -> Training segment 231 slice(5544, 5568, None)\n", + "( 10.39 sec) ARMA : DEBUG -> Training...\n", + "( 10.39 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.39 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.39 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.39 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.39 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.40 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.40 sec) Clustered ROM : DEBUG -> Training segment 232 slice(5568, 5592, None)\n", + "( 10.40 sec) ARMA : DEBUG -> Training...\n", + "( 10.40 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.40 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.40 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.40 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.40 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.41 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.41 sec) Clustered ROM : DEBUG -> Training segment 233 slice(5592, 5616, None)\n", + "( 10.41 sec) ARMA : DEBUG -> Training...\n", + "( 10.41 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.41 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.41 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.41 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.41 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.41 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.41 sec) Clustered ROM : DEBUG -> Training segment 234 slice(5616, 5640, None)\n", + "( 10.41 sec) ARMA : DEBUG -> Training...\n", + "( 10.41 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.41 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.42 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.42 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.42 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.42 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.42 sec) Clustered ROM : DEBUG -> Training segment 235 slice(5640, 5664, None)\n", + "( 10.42 sec) ARMA : DEBUG -> Training...\n", + "( 10.42 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.42 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.42 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.42 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.42 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.44 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.44 sec) Clustered ROM : DEBUG -> Training segment 236 slice(5664, 5688, None)\n", + "( 10.44 sec) ARMA : DEBUG -> Training...\n", + "( 10.44 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.44 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.44 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.44 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.44 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.48 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.48 sec) Clustered ROM : DEBUG -> Training segment 237 slice(5688, 5712, None)\n", + "( 10.48 sec) ARMA : DEBUG -> Training...\n", + "( 10.48 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.48 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.48 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.48 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.48 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.51 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.51 sec) Clustered ROM : DEBUG -> Training segment 238 slice(5712, 5736, None)\n", + "( 10.51 sec) ARMA : DEBUG -> Training...\n", + "( 10.51 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.51 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.51 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.51 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.51 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.53 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.53 sec) Clustered ROM : DEBUG -> Training segment 239 slice(5736, 5760, None)\n", + "( 10.53 sec) ARMA : DEBUG -> Training...\n", + "( 10.53 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.53 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.53 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.53 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.53 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.54 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.54 sec) Clustered ROM : DEBUG -> Training segment 240 slice(5760, 5784, None)\n", + "( 10.54 sec) ARMA : DEBUG -> Training...\n", + "( 10.54 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.54 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.54 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.54 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.54 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.56 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.56 sec) Clustered ROM : DEBUG -> Training segment 241 slice(5784, 5808, None)\n", + "( 10.56 sec) ARMA : DEBUG -> Training...\n", + "( 10.56 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.56 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.56 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.56 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.56 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.57 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.57 sec) Clustered ROM : DEBUG -> Training segment 242 slice(5808, 5832, None)\n", + "( 10.57 sec) ARMA : DEBUG -> Training...\n", + "( 10.57 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.57 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.57 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.57 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.57 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.58 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.58 sec) Clustered ROM : DEBUG -> Training segment 243 slice(5832, 5856, None)\n", + "( 10.58 sec) ARMA : DEBUG -> Training...\n", + "( 10.58 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.58 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.58 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.58 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.58 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.59 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.59 sec) Clustered ROM : DEBUG -> Training segment 244 slice(5856, 5880, None)\n", + "( 10.59 sec) ARMA : DEBUG -> Training...\n", + "( 10.59 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.59 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.59 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.59 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.59 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.60 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.60 sec) Clustered ROM : DEBUG -> Training segment 245 slice(5880, 5904, None)\n", + "( 10.61 sec) ARMA : DEBUG -> Training...\n", + "( 10.61 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.61 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.61 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.61 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.61 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.63 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.64 sec) Clustered ROM : DEBUG -> Training segment 246 slice(5904, 5928, None)\n", + "( 10.64 sec) ARMA : DEBUG -> Training...\n", + "( 10.64 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.64 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.64 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.64 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.64 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.65 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.65 sec) Clustered ROM : DEBUG -> Training segment 247 slice(5928, 5952, None)\n", + "( 10.65 sec) ARMA : DEBUG -> Training...\n", + "( 10.65 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.65 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.65 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.65 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.65 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.66 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.66 sec) Clustered ROM : DEBUG -> Training segment 248 slice(5952, 5976, None)\n", + "( 10.66 sec) ARMA : DEBUG -> Training...\n", + "( 10.66 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.66 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.66 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.66 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.66 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.67 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.67 sec) Clustered ROM : DEBUG -> Training segment 249 slice(5976, 6000, None)\n", + "( 10.67 sec) ARMA : DEBUG -> Training...\n", + "( 10.67 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.67 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.67 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.67 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.67 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.68 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.68 sec) Clustered ROM : DEBUG -> Training segment 250 slice(6000, 6024, None)\n", + "( 10.68 sec) ARMA : DEBUG -> Training...\n", + "( 10.68 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.68 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.68 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.69 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.69 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.70 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.70 sec) Clustered ROM : DEBUG -> Training segment 251 slice(6024, 6048, None)\n", + "( 10.70 sec) ARMA : DEBUG -> Training...\n", + "( 10.70 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.70 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.70 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.70 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.70 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.70 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.70 sec) Clustered ROM : DEBUG -> Training segment 252 slice(6048, 6072, None)\n", + "( 10.70 sec) ARMA : DEBUG -> Training...\n", + "( 10.70 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.70 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.70 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.70 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.71 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.72 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.72 sec) Clustered ROM : DEBUG -> Training segment 253 slice(6072, 6096, None)\n", + "( 10.72 sec) ARMA : DEBUG -> Training...\n", + "( 10.72 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.72 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.72 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.72 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.72 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.73 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.73 sec) Clustered ROM : DEBUG -> Training segment 254 slice(6096, 6120, None)\n", + "( 10.73 sec) ARMA : DEBUG -> Training...\n", + "( 10.73 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.73 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.73 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.73 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.73 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.75 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.75 sec) Clustered ROM : DEBUG -> Training segment 255 slice(6120, 6144, None)\n", + "( 10.75 sec) ARMA : DEBUG -> Training...\n", + "( 10.75 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.75 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.75 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.75 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.75 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.75 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.75 sec) Clustered ROM : DEBUG -> Training segment 256 slice(6144, 6168, None)\n", + "( 10.75 sec) ARMA : DEBUG -> Training...\n", + "( 10.75 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.75 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.75 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.75 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.75 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.79 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.79 sec) Clustered ROM : DEBUG -> Training segment 257 slice(6168, 6192, None)\n", + "( 10.79 sec) ARMA : DEBUG -> Training...\n", + "( 10.79 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.79 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.79 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.79 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.79 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.80 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.80 sec) Clustered ROM : DEBUG -> Training segment 258 slice(6192, 6216, None)\n", + "( 10.80 sec) ARMA : DEBUG -> Training...\n", + "( 10.80 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.80 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.80 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.80 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.80 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.81 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.82 sec) Clustered ROM : DEBUG -> Training segment 259 slice(6216, 6240, None)\n", + "( 10.82 sec) ARMA : DEBUG -> Training...\n", + "( 10.82 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.82 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.82 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.82 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.83 sec) Clustered ROM : DEBUG -> Training segment 260 slice(6240, 6264, None)\n", + "( 10.83 sec) ARMA : DEBUG -> Training...\n", + "( 10.83 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.83 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.83 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.83 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.83 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.84 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.84 sec) Clustered ROM : DEBUG -> Training segment 261 slice(6264, 6288, None)\n", + "( 10.84 sec) ARMA : DEBUG -> Training...\n", + "( 10.84 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.84 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.84 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.84 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.84 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.85 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.85 sec) Clustered ROM : DEBUG -> Training segment 262 slice(6288, 6312, None)\n", + "( 10.85 sec) ARMA : DEBUG -> Training...\n", + "( 10.85 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.85 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.85 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.85 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.85 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.86 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.86 sec) Clustered ROM : DEBUG -> Training segment 263 slice(6312, 6336, None)\n", + "( 10.86 sec) ARMA : DEBUG -> Training...\n", + "( 10.86 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.86 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.86 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.86 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.86 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.88 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.88 sec) Clustered ROM : DEBUG -> Training segment 264 slice(6336, 6360, None)\n", + "( 10.88 sec) ARMA : DEBUG -> Training...\n", + "( 10.88 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.88 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.88 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.89 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.89 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.91 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.91 sec) Clustered ROM : DEBUG -> Training segment 265 slice(6360, 6384, None)\n", + "( 10.91 sec) ARMA : DEBUG -> Training...\n", + "( 10.91 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.91 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.91 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.91 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.91 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.93 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.93 sec) Clustered ROM : DEBUG -> Training segment 266 slice(6384, 6408, None)\n", + "( 10.93 sec) ARMA : DEBUG -> Training...\n", + "( 10.93 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.93 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.93 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.93 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.93 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.94 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.94 sec) Clustered ROM : DEBUG -> Training segment 267 slice(6408, 6432, None)\n", + "( 10.94 sec) ARMA : DEBUG -> Training...\n", + "( 10.94 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.94 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.94 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.94 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.94 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.95 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.95 sec) Clustered ROM : DEBUG -> Training segment 268 slice(6432, 6456, None)\n", + "( 10.95 sec) ARMA : DEBUG -> Training...\n", + "( 10.95 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.95 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.95 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.96 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.96 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 10.97 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 10.97 sec) Clustered ROM : DEBUG -> Training segment 269 slice(6456, 6480, None)\n", + "( 10.97 sec) ARMA : DEBUG -> Training...\n", + "( 10.97 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 10.97 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 10.97 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 10.97 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 10.97 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.00 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.00 sec) Clustered ROM : DEBUG -> Training segment 270 slice(6480, 6504, None)\n", + "( 11.00 sec) ARMA : DEBUG -> Training...\n", + "( 11.00 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.00 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.00 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.00 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.00 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.00 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.00 sec) Clustered ROM : DEBUG -> Training segment 271 slice(6504, 6528, None)\n", + "( 11.00 sec) ARMA : DEBUG -> Training...\n", + "( 11.00 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.00 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.00 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.00 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.00 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.02 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.02 sec) Clustered ROM : DEBUG -> Training segment 272 slice(6528, 6552, None)\n", + "( 11.02 sec) ARMA : DEBUG -> Training...\n", + "( 11.02 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.02 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.02 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.02 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.02 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.03 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.03 sec) Clustered ROM : DEBUG -> Training segment 273 slice(6552, 6576, None)\n", + "( 11.03 sec) ARMA : DEBUG -> Training...\n", + "( 11.03 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.03 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.03 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.03 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.03 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.04 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.04 sec) Clustered ROM : DEBUG -> Training segment 274 slice(6576, 6600, None)\n", + "( 11.04 sec) ARMA : DEBUG -> Training...\n", + "( 11.04 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.04 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.04 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.04 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.04 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.06 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.06 sec) Clustered ROM : DEBUG -> Training segment 275 slice(6600, 6624, None)\n", + "( 11.06 sec) ARMA : DEBUG -> Training...\n", + "( 11.06 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.06 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.06 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.06 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.06 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.07 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.07 sec) Clustered ROM : DEBUG -> Training segment 276 slice(6624, 6648, None)\n", + "( 11.07 sec) ARMA : DEBUG -> Training...\n", + "( 11.07 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.07 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.07 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.07 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.07 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.08 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.08 sec) Clustered ROM : DEBUG -> Training segment 277 slice(6648, 6672, None)\n", + "( 11.08 sec) ARMA : DEBUG -> Training...\n", + "( 11.08 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.08 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.08 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.08 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.08 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.09 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.09 sec) Clustered ROM : DEBUG -> Training segment 278 slice(6672, 6696, None)\n", + "( 11.09 sec) ARMA : DEBUG -> Training...\n", + "( 11.09 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.09 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.10 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.10 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.10 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.11 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.11 sec) Clustered ROM : DEBUG -> Training segment 279 slice(6696, 6720, None)\n", + "( 11.11 sec) ARMA : DEBUG -> Training...\n", + "( 11.11 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.11 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.11 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.11 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.11 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.14 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.14 sec) Clustered ROM : DEBUG -> Training segment 280 slice(6720, 6744, None)\n", + "( 11.14 sec) ARMA : DEBUG -> Training...\n", + "( 11.14 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.14 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.14 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.14 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.14 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.16 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.16 sec) Clustered ROM : DEBUG -> Training segment 281 slice(6744, 6768, None)\n", + "( 11.16 sec) ARMA : DEBUG -> Training...\n", + "( 11.16 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.16 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.16 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.16 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.16 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.17 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.17 sec) Clustered ROM : DEBUG -> Training segment 282 slice(6768, 6792, None)\n", + "( 11.17 sec) ARMA : DEBUG -> Training...\n", + "( 11.17 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.17 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.17 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.17 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.17 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.19 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.19 sec) Clustered ROM : DEBUG -> Training segment 283 slice(6792, 6816, None)\n", + "( 11.19 sec) ARMA : DEBUG -> Training...\n", + "( 11.19 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.19 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.19 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.19 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.19 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.19 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.19 sec) Clustered ROM : DEBUG -> Training segment 284 slice(6816, 6840, None)\n", + "( 11.19 sec) ARMA : DEBUG -> Training...\n", + "( 11.19 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.19 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.19 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.19 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.19 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.21 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.21 sec) Clustered ROM : DEBUG -> Training segment 285 slice(6840, 6864, None)\n", + "( 11.21 sec) ARMA : DEBUG -> Training...\n", + "( 11.21 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.21 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.21 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.21 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.21 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.23 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.23 sec) Clustered ROM : DEBUG -> Training segment 286 slice(6864, 6888, None)\n", + "( 11.23 sec) ARMA : DEBUG -> Training...\n", + "( 11.23 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.23 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.23 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.23 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.23 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.24 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.24 sec) Clustered ROM : DEBUG -> Training segment 287 slice(6888, 6912, None)\n", + "( 11.24 sec) ARMA : DEBUG -> Training...\n", + "( 11.24 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.24 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.24 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.24 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.24 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.26 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.26 sec) Clustered ROM : DEBUG -> Training segment 288 slice(6912, 6936, None)\n", + "( 11.26 sec) ARMA : DEBUG -> Training...\n", + "( 11.26 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.26 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.26 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.26 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.26 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.27 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.27 sec) Clustered ROM : DEBUG -> Training segment 289 slice(6936, 6960, None)\n", + "( 11.27 sec) ARMA : DEBUG -> Training...\n", + "( 11.27 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.27 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.27 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.27 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.27 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.28 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.28 sec) Clustered ROM : DEBUG -> Training segment 290 slice(6960, 6984, None)\n", + "( 11.28 sec) ARMA : DEBUG -> Training...\n", + "( 11.28 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.28 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.28 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.29 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.29 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.30 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.30 sec) Clustered ROM : DEBUG -> Training segment 291 slice(6984, 7008, None)\n", + "( 11.30 sec) ARMA : DEBUG -> Training...\n", + "( 11.30 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.30 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.30 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.30 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.30 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.31 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.32 sec) Clustered ROM : DEBUG -> Training segment 292 slice(7008, 7032, None)\n", + "( 11.32 sec) ARMA : DEBUG -> Training...\n", + "( 11.32 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.32 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.32 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.32 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.32 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.33 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.33 sec) Clustered ROM : DEBUG -> Training segment 293 slice(7032, 7056, None)\n", + "( 11.33 sec) ARMA : DEBUG -> Training...\n", + "( 11.33 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.33 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.33 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.33 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.33 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.36 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.36 sec) Clustered ROM : DEBUG -> Training segment 294 slice(7056, 7080, None)\n", + "( 11.36 sec) ARMA : DEBUG -> Training...\n", + "( 11.36 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.36 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.36 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.36 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.36 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.39 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.39 sec) Clustered ROM : DEBUG -> Training segment 295 slice(7080, 7104, None)\n", + "( 11.39 sec) ARMA : DEBUG -> Training...\n", + "( 11.39 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.39 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.39 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.39 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.39 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.40 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.40 sec) Clustered ROM : DEBUG -> Training segment 296 slice(7104, 7128, None)\n", + "( 11.40 sec) ARMA : DEBUG -> Training...\n", + "( 11.40 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.40 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.40 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.40 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.40 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.41 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.41 sec) Clustered ROM : DEBUG -> Training segment 297 slice(7128, 7152, None)\n", + "( 11.41 sec) ARMA : DEBUG -> Training...\n", + "( 11.41 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.41 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.41 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.41 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.41 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.44 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.45 sec) Clustered ROM : DEBUG -> Training segment 298 slice(7152, 7176, None)\n", + "( 11.45 sec) ARMA : DEBUG -> Training...\n", + "( 11.45 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.45 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.45 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.45 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.45 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.47 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.47 sec) Clustered ROM : DEBUG -> Training segment 299 slice(7176, 7200, None)\n", + "( 11.47 sec) ARMA : DEBUG -> Training...\n", + "( 11.47 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.47 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.47 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.47 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.47 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.48 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.48 sec) Clustered ROM : DEBUG -> Training segment 300 slice(7200, 7224, None)\n", + "( 11.48 sec) ARMA : DEBUG -> Training...\n", + "( 11.49 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.49 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.49 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.49 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.49 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.50 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.50 sec) Clustered ROM : DEBUG -> Training segment 301 slice(7224, 7248, None)\n", + "( 11.50 sec) ARMA : DEBUG -> Training...\n", + "( 11.50 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.50 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.50 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.50 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.50 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.50 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.50 sec) Clustered ROM : DEBUG -> Training segment 302 slice(7248, 7272, None)\n", + "( 11.50 sec) ARMA : DEBUG -> Training...\n", + "( 11.50 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.50 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.50 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.50 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.50 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.51 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.51 sec) Clustered ROM : DEBUG -> Training segment 303 slice(7272, 7296, None)\n", + "( 11.51 sec) ARMA : DEBUG -> Training...\n", + "( 11.51 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.51 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.51 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.51 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.52 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.53 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.53 sec) Clustered ROM : DEBUG -> Training segment 304 slice(7296, 7320, None)\n", + "( 11.53 sec) ARMA : DEBUG -> Training...\n", + "( 11.53 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.53 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.53 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.53 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.53 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.54 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.54 sec) Clustered ROM : DEBUG -> Training segment 305 slice(7320, 7344, None)\n", + "( 11.54 sec) ARMA : DEBUG -> Training...\n", + "( 11.54 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.54 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.54 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.54 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.54 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.55 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.55 sec) Clustered ROM : DEBUG -> Training segment 306 slice(7344, 7368, None)\n", + "( 11.55 sec) ARMA : DEBUG -> Training...\n", + "( 11.55 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.55 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.55 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.55 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.55 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.56 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.56 sec) Clustered ROM : DEBUG -> Training segment 307 slice(7368, 7392, None)\n", + "( 11.56 sec) ARMA : DEBUG -> Training...\n", + "( 11.56 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.56 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.56 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.56 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.56 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.57 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.57 sec) Clustered ROM : DEBUG -> Training segment 308 slice(7392, 7416, None)\n", + "( 11.57 sec) ARMA : DEBUG -> Training...\n", + "( 11.57 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.57 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.57 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.57 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.57 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.58 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.58 sec) Clustered ROM : DEBUG -> Training segment 309 slice(7416, 7440, None)\n", + "( 11.58 sec) ARMA : DEBUG -> Training...\n", + "( 11.58 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.58 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.58 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.58 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.58 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.60 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.60 sec) Clustered ROM : DEBUG -> Training segment 310 slice(7440, 7464, None)\n", + "( 11.60 sec) ARMA : DEBUG -> Training...\n", + "( 11.60 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.60 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.60 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.60 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.60 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.61 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.61 sec) Clustered ROM : DEBUG -> Training segment 311 slice(7464, 7488, None)\n", + "( 11.61 sec) ARMA : DEBUG -> Training...\n", + "( 11.61 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.61 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.61 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.61 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.61 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.65 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.65 sec) Clustered ROM : DEBUG -> Training segment 312 slice(7488, 7512, None)\n", + "( 11.65 sec) ARMA : DEBUG -> Training...\n", + "( 11.65 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.65 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.65 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.65 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.65 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.65 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.65 sec) Clustered ROM : DEBUG -> Training segment 313 slice(7512, 7536, None)\n", + "( 11.65 sec) ARMA : DEBUG -> Training...\n", + "( 11.65 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.65 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.65 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.65 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.65 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.67 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.67 sec) Clustered ROM : DEBUG -> Training segment 314 slice(7536, 7560, None)\n", + "( 11.67 sec) ARMA : DEBUG -> Training...\n", + "( 11.67 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.67 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.67 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.67 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.67 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.69 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.69 sec) Clustered ROM : DEBUG -> Training segment 315 slice(7560, 7584, None)\n", + "( 11.69 sec) ARMA : DEBUG -> Training...\n", + "( 11.69 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.69 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.69 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.69 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.69 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.72 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.72 sec) Clustered ROM : DEBUG -> Training segment 316 slice(7584, 7608, None)\n", + "( 11.72 sec) ARMA : DEBUG -> Training...\n", + "( 11.72 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.72 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.72 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.72 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.72 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.73 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.73 sec) Clustered ROM : DEBUG -> Training segment 317 slice(7608, 7632, None)\n", + "( 11.73 sec) ARMA : DEBUG -> Training...\n", + "( 11.73 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.73 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.73 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.73 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.73 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.75 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.75 sec) Clustered ROM : DEBUG -> Training segment 318 slice(7632, 7656, None)\n", + "( 11.75 sec) ARMA : DEBUG -> Training...\n", + "( 11.75 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.75 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.75 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.75 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.75 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.76 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.76 sec) Clustered ROM : DEBUG -> Training segment 319 slice(7656, 7680, None)\n", + "( 11.76 sec) ARMA : DEBUG -> Training...\n", + "( 11.76 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.76 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.76 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.76 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.76 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.78 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.78 sec) Clustered ROM : DEBUG -> Training segment 320 slice(7680, 7704, None)\n", + "( 11.78 sec) ARMA : DEBUG -> Training...\n", + "( 11.78 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.78 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.78 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.78 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.78 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.79 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.79 sec) Clustered ROM : DEBUG -> Training segment 321 slice(7704, 7728, None)\n", + "( 11.79 sec) ARMA : DEBUG -> Training...\n", + "( 11.79 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.79 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.79 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.79 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.79 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.80 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.80 sec) Clustered ROM : DEBUG -> Training segment 322 slice(7728, 7752, None)\n", + "( 11.80 sec) ARMA : DEBUG -> Training...\n", + "( 11.80 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.80 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.80 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.80 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.80 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.81 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.81 sec) Clustered ROM : DEBUG -> Training segment 323 slice(7752, 7776, None)\n", + "( 11.81 sec) ARMA : DEBUG -> Training...\n", + "( 11.81 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.81 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.81 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.81 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.81 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.81 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.81 sec) Clustered ROM : DEBUG -> Training segment 324 slice(7776, 7800, None)\n", + "( 11.81 sec) ARMA : DEBUG -> Training...\n", + "( 11.81 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.81 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.81 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.83 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.83 sec) Clustered ROM : DEBUG -> Training segment 325 slice(7800, 7824, None)\n", + "( 11.83 sec) ARMA : DEBUG -> Training...\n", + "( 11.83 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.83 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.83 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.83 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.83 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.86 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.86 sec) Clustered ROM : DEBUG -> Training segment 326 slice(7824, 7848, None)\n", + "( 11.86 sec) ARMA : DEBUG -> Training...\n", + "( 11.86 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.86 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.86 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.86 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.86 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.90 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.90 sec) Clustered ROM : DEBUG -> Training segment 327 slice(7848, 7872, None)\n", + "( 11.90 sec) ARMA : DEBUG -> Training...\n", + "( 11.90 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.90 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.90 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.90 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.90 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.93 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.93 sec) Clustered ROM : DEBUG -> Training segment 328 slice(7872, 7896, None)\n", + "( 11.93 sec) ARMA : DEBUG -> Training...\n", + "( 11.93 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.93 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.93 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.93 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.93 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.94 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.94 sec) Clustered ROM : DEBUG -> Training segment 329 slice(7896, 7920, None)\n", + "( 11.94 sec) ARMA : DEBUG -> Training...\n", + "( 11.94 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.94 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.94 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.94 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.94 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.96 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.96 sec) Clustered ROM : DEBUG -> Training segment 330 slice(7920, 7944, None)\n", + "( 11.96 sec) ARMA : DEBUG -> Training...\n", + "( 11.96 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.96 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.96 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.96 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.96 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.97 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.97 sec) Clustered ROM : DEBUG -> Training segment 331 slice(7944, 7968, None)\n", + "( 11.97 sec) ARMA : DEBUG -> Training...\n", + "( 11.97 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.97 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.97 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.97 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.97 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 11.98 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 11.98 sec) Clustered ROM : DEBUG -> Training segment 332 slice(7968, 7992, None)\n", + "( 11.98 sec) ARMA : DEBUG -> Training...\n", + "( 11.98 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 11.98 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 11.98 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 11.98 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 11.98 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.00 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.00 sec) Clustered ROM : DEBUG -> Training segment 333 slice(7992, 8016, None)\n", + "( 12.00 sec) ARMA : DEBUG -> Training...\n", + "( 12.00 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.00 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.00 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.00 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.00 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.00 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.00 sec) Clustered ROM : DEBUG -> Training segment 334 slice(8016, 8040, None)\n", + "( 12.00 sec) ARMA : DEBUG -> Training...\n", + "( 12.00 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.00 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.00 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.00 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.00 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.01 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.02 sec) Clustered ROM : DEBUG -> Training segment 335 slice(8040, 8064, None)\n", + "( 12.02 sec) ARMA : DEBUG -> Training...\n", + "( 12.02 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.02 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.02 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.02 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.02 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.03 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.03 sec) Clustered ROM : DEBUG -> Training segment 336 slice(8064, 8088, None)\n", + "( 12.03 sec) ARMA : DEBUG -> Training...\n", + "( 12.03 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.03 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.03 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.03 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.03 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.04 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.04 sec) Clustered ROM : DEBUG -> Training segment 337 slice(8088, 8112, None)\n", + "( 12.04 sec) ARMA : DEBUG -> Training...\n", + "( 12.04 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.04 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.04 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.04 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.04 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.05 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.05 sec) Clustered ROM : DEBUG -> Training segment 338 slice(8112, 8136, None)\n", + "( 12.05 sec) ARMA : DEBUG -> Training...\n", + "( 12.05 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.05 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.05 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.05 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.05 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.06 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.06 sec) Clustered ROM : DEBUG -> Training segment 339 slice(8136, 8160, None)\n", + "( 12.06 sec) ARMA : DEBUG -> Training...\n", + "( 12.06 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.06 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.06 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.06 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.06 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.07 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.07 sec) Clustered ROM : DEBUG -> Training segment 340 slice(8160, 8184, None)\n", + "( 12.07 sec) ARMA : DEBUG -> Training...\n", + "( 12.07 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.07 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.07 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.07 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.07 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.08 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.09 sec) Clustered ROM : DEBUG -> Training segment 341 slice(8184, 8208, None)\n", + "( 12.09 sec) ARMA : DEBUG -> Training...\n", + "( 12.09 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.09 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.09 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.09 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.09 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.09 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.09 sec) Clustered ROM : DEBUG -> Training segment 342 slice(8208, 8232, None)\n", + "( 12.09 sec) ARMA : DEBUG -> Training...\n", + "( 12.09 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.09 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.09 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.09 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.09 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.10 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.10 sec) Clustered ROM : DEBUG -> Training segment 343 slice(8232, 8256, None)\n", + "( 12.10 sec) ARMA : DEBUG -> Training...\n", + "( 12.10 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.10 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.10 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.10 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.10 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.11 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.12 sec) Clustered ROM : DEBUG -> Training segment 344 slice(8256, 8280, None)\n", + "( 12.12 sec) ARMA : DEBUG -> Training...\n", + "( 12.12 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.12 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.12 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.12 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.12 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.13 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.13 sec) Clustered ROM : DEBUG -> Training segment 345 slice(8280, 8304, None)\n", + "( 12.13 sec) ARMA : DEBUG -> Training...\n", + "( 12.13 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.13 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.13 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.13 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.13 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.15 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.15 sec) Clustered ROM : DEBUG -> Training segment 346 slice(8304, 8328, None)\n", + "( 12.15 sec) ARMA : DEBUG -> Training...\n", + "( 12.15 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.15 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.15 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.15 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.15 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.17 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.17 sec) Clustered ROM : DEBUG -> Training segment 347 slice(8328, 8352, None)\n", + "( 12.17 sec) ARMA : DEBUG -> Training...\n", + "( 12.17 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.17 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.17 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.17 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.17 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.18 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.18 sec) Clustered ROM : DEBUG -> Training segment 348 slice(8352, 8376, None)\n", + "( 12.18 sec) ARMA : DEBUG -> Training...\n", + "( 12.18 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.18 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.18 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.18 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.18 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.21 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.21 sec) Clustered ROM : DEBUG -> Training segment 349 slice(8376, 8400, None)\n", + "( 12.21 sec) ARMA : DEBUG -> Training...\n", + "( 12.21 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.21 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.21 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.21 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.21 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.22 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.22 sec) Clustered ROM : DEBUG -> Training segment 350 slice(8400, 8424, None)\n", + "( 12.22 sec) ARMA : DEBUG -> Training...\n", + "( 12.22 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.22 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.22 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.22 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.22 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.24 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.24 sec) Clustered ROM : DEBUG -> Training segment 351 slice(8424, 8448, None)\n", + "( 12.24 sec) ARMA : DEBUG -> Training...\n", + "( 12.24 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.24 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.24 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.24 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.24 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.25 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.25 sec) Clustered ROM : DEBUG -> Training segment 352 slice(8448, 8472, None)\n", + "( 12.25 sec) ARMA : DEBUG -> Training...\n", + "( 12.25 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.25 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.25 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.25 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.25 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.26 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.26 sec) Clustered ROM : DEBUG -> Training segment 353 slice(8472, 8496, None)\n", + "( 12.26 sec) ARMA : DEBUG -> Training...\n", + "( 12.26 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.26 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.26 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.26 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.26 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.27 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.27 sec) Clustered ROM : DEBUG -> Training segment 354 slice(8496, 8520, None)\n", + "( 12.27 sec) ARMA : DEBUG -> Training...\n", + "( 12.27 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.27 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.27 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.27 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.27 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.28 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.29 sec) Clustered ROM : DEBUG -> Training segment 355 slice(8520, 8544, None)\n", + "( 12.29 sec) ARMA : DEBUG -> Training...\n", + "( 12.29 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.29 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.29 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.29 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.29 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.30 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.30 sec) Clustered ROM : DEBUG -> Training segment 356 slice(8544, 8568, None)\n", + "( 12.30 sec) ARMA : DEBUG -> Training...\n", + "( 12.30 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.30 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.30 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.30 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.30 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.31 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.31 sec) Clustered ROM : DEBUG -> Training segment 357 slice(8568, 8592, None)\n", + "( 12.31 sec) ARMA : DEBUG -> Training...\n", + "( 12.31 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.31 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.31 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.31 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.31 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.32 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.32 sec) Clustered ROM : DEBUG -> Training segment 358 slice(8592, 8616, None)\n", + "( 12.32 sec) ARMA : DEBUG -> Training...\n", + "( 12.32 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.32 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.32 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.32 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.32 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.33 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.33 sec) Clustered ROM : DEBUG -> Training segment 359 slice(8616, 8640, None)\n", + "( 12.33 sec) ARMA : DEBUG -> Training...\n", + "( 12.33 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.33 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.33 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.33 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.33 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.35 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.35 sec) Clustered ROM : DEBUG -> Training segment 360 slice(8640, 8664, None)\n", + "( 12.35 sec) ARMA : DEBUG -> Training...\n", + "( 12.35 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.35 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.35 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.35 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.35 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.36 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.36 sec) Clustered ROM : DEBUG -> Training segment 361 slice(8664, 8688, None)\n", + "( 12.36 sec) ARMA : DEBUG -> Training...\n", + "( 12.36 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.36 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.36 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.36 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.36 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.37 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.37 sec) Clustered ROM : DEBUG -> Training segment 362 slice(8688, 8712, None)\n", + "( 12.37 sec) ARMA : DEBUG -> Training...\n", + "( 12.37 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.37 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.37 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.37 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.37 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.38 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.38 sec) Clustered ROM : DEBUG -> Training segment 363 slice(8712, 8736, None)\n", + "( 12.38 sec) ARMA : DEBUG -> Training...\n", + "( 12.38 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.38 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.38 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.38 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.38 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.39 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.39 sec) Clustered ROM : DEBUG -> Training segment 364 slice(8736, 8760, None)\n", + "( 12.39 sec) ARMA : DEBUG -> Training...\n", + "( 12.39 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.40 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.40 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.40 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.40 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.40 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.46 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 12.46 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 12.51 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 12.51 sec) Interp. Cluster ROM : DEBUG -> Training Statepoint Year 2 ...\n", + "( 12.51 sec) Clustered ROM : DEBUG -> Training segmented subspaces for \"arma\" ...\n", + "( 12.51 sec) Clustered ROM : DEBUG -> Dividing hour into 365 divisions for training ...\n", + "DEBUGG no ZF here!\n", + "( 12.52 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.52 sec) Clustered ROM : DEBUG -> Training segment 0 slice(0, 24, None)\n", + "( 12.52 sec) ARMA : DEBUG -> Training...\n", + "( 12.52 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.52 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.52 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.52 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.52 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.53 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.54 sec) Clustered ROM : DEBUG -> Training segment 1 slice(24, 48, None)\n", + "( 12.54 sec) ARMA : DEBUG -> Training...\n", + "( 12.54 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.54 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.54 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.54 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.54 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.55 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.55 sec) Clustered ROM : DEBUG -> Training segment 2 slice(48, 72, None)\n", + "( 12.55 sec) ARMA : DEBUG -> Training...\n", + "( 12.55 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.55 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.55 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.55 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.55 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.56 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.56 sec) Clustered ROM : DEBUG -> Training segment 3 slice(72, 96, None)\n", + "( 12.56 sec) ARMA : DEBUG -> Training...\n", + "( 12.56 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.56 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.56 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.56 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.56 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.57 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.57 sec) Clustered ROM : DEBUG -> Training segment 4 slice(96, 120, None)\n", + "( 12.57 sec) ARMA : DEBUG -> Training...\n", + "( 12.57 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.57 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.57 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.57 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.57 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.60 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.60 sec) Clustered ROM : DEBUG -> Training segment 5 slice(120, 144, None)\n", + "( 12.60 sec) ARMA : DEBUG -> Training...\n", + "( 12.60 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.60 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.60 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.60 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.60 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.62 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.62 sec) Clustered ROM : DEBUG -> Training segment 6 slice(144, 168, None)\n", + "( 12.62 sec) ARMA : DEBUG -> Training...\n", + "( 12.62 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.62 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.62 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.62 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.62 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.63 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.63 sec) Clustered ROM : DEBUG -> Training segment 7 slice(168, 192, None)\n", + "( 12.63 sec) ARMA : DEBUG -> Training...\n", + "( 12.63 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.63 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.63 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.63 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.63 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.64 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.64 sec) Clustered ROM : DEBUG -> Training segment 8 slice(192, 216, None)\n", + "( 12.64 sec) ARMA : DEBUG -> Training...\n", + "( 12.64 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.64 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.64 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.64 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.64 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.66 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.66 sec) Clustered ROM : DEBUG -> Training segment 9 slice(216, 240, None)\n", + "( 12.66 sec) ARMA : DEBUG -> Training...\n", + "( 12.66 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.66 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.66 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.66 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.66 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.66 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.66 sec) Clustered ROM : DEBUG -> Training segment 10 slice(240, 264, None)\n", + "( 12.66 sec) ARMA : DEBUG -> Training...\n", + "( 12.66 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.66 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.66 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.66 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.66 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.69 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.69 sec) Clustered ROM : DEBUG -> Training segment 11 slice(264, 288, None)\n", + "( 12.69 sec) ARMA : DEBUG -> Training...\n", + "( 12.69 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.69 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.69 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.69 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.69 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.72 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.72 sec) Clustered ROM : DEBUG -> Training segment 12 slice(288, 312, None)\n", + "( 12.72 sec) ARMA : DEBUG -> Training...\n", + "( 12.72 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.72 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.72 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.73 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.73 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.74 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.74 sec) Clustered ROM : DEBUG -> Training segment 13 slice(312, 336, None)\n", + "( 12.74 sec) ARMA : DEBUG -> Training...\n", + "( 12.74 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.74 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.74 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.74 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.74 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.75 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.76 sec) Clustered ROM : DEBUG -> Training segment 14 slice(336, 360, None)\n", + "( 12.76 sec) ARMA : DEBUG -> Training...\n", + "( 12.76 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.76 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.76 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.76 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.76 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.76 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.76 sec) Clustered ROM : DEBUG -> Training segment 15 slice(360, 384, None)\n", + "( 12.76 sec) ARMA : DEBUG -> Training...\n", + "( 12.76 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.76 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.76 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.76 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.76 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.82 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.82 sec) Clustered ROM : DEBUG -> Training segment 16 slice(384, 408, None)\n", + "( 12.82 sec) ARMA : DEBUG -> Training...\n", + "( 12.82 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.82 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.82 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.83 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.83 sec) Clustered ROM : DEBUG -> Training segment 17 slice(408, 432, None)\n", + "( 12.83 sec) ARMA : DEBUG -> Training...\n", + "( 12.83 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.83 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.83 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.83 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.83 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.84 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.84 sec) Clustered ROM : DEBUG -> Training segment 18 slice(432, 456, None)\n", + "( 12.84 sec) ARMA : DEBUG -> Training...\n", + "( 12.84 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.84 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.84 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.84 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.84 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.85 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.85 sec) Clustered ROM : DEBUG -> Training segment 19 slice(456, 480, None)\n", + "( 12.85 sec) ARMA : DEBUG -> Training...\n", + "( 12.85 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.85 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.85 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.85 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.85 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.89 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.89 sec) Clustered ROM : DEBUG -> Training segment 20 slice(480, 504, None)\n", + "( 12.89 sec) ARMA : DEBUG -> Training...\n", + "( 12.89 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.89 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.89 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.89 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.89 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.90 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.90 sec) Clustered ROM : DEBUG -> Training segment 21 slice(504, 528, None)\n", + "( 12.90 sec) ARMA : DEBUG -> Training...\n", + "( 12.90 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.90 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.90 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.90 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.90 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.91 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.91 sec) Clustered ROM : DEBUG -> Training segment 22 slice(528, 552, None)\n", + "( 12.91 sec) ARMA : DEBUG -> Training...\n", + "( 12.91 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.91 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.91 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.91 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.91 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.92 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.92 sec) Clustered ROM : DEBUG -> Training segment 23 slice(552, 576, None)\n", + "( 12.92 sec) ARMA : DEBUG -> Training...\n", + "( 12.92 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.92 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.92 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.92 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.92 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.93 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.93 sec) Clustered ROM : DEBUG -> Training segment 24 slice(576, 600, None)\n", + "( 12.93 sec) ARMA : DEBUG -> Training...\n", + "( 12.93 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.93 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.93 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.93 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.93 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.94 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.94 sec) Clustered ROM : DEBUG -> Training segment 25 slice(600, 624, None)\n", + "( 12.94 sec) ARMA : DEBUG -> Training...\n", + "( 12.94 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.94 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.95 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.95 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.95 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.97 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.97 sec) Clustered ROM : DEBUG -> Training segment 26 slice(624, 648, None)\n", + "( 12.97 sec) ARMA : DEBUG -> Training...\n", + "( 12.97 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.97 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.97 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.97 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.97 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 12.98 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 12.98 sec) Clustered ROM : DEBUG -> Training segment 27 slice(648, 672, None)\n", + "( 12.98 sec) ARMA : DEBUG -> Training...\n", + "( 12.98 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 12.98 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 12.98 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 12.98 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 12.98 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.01 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.01 sec) Clustered ROM : DEBUG -> Training segment 28 slice(672, 696, None)\n", + "( 13.01 sec) ARMA : DEBUG -> Training...\n", + "( 13.01 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.01 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.01 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.01 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.01 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.03 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.03 sec) Clustered ROM : DEBUG -> Training segment 29 slice(696, 720, None)\n", + "( 13.03 sec) ARMA : DEBUG -> Training...\n", + "( 13.03 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.03 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.03 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.03 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.03 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.04 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.04 sec) Clustered ROM : DEBUG -> Training segment 30 slice(720, 744, None)\n", + "( 13.04 sec) ARMA : DEBUG -> Training...\n", + "( 13.04 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.04 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.04 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.04 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.04 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.05 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.05 sec) Clustered ROM : DEBUG -> Training segment 31 slice(744, 768, None)\n", + "( 13.05 sec) ARMA : DEBUG -> Training...\n", + "( 13.05 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.05 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.05 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.05 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.05 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.06 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.06 sec) Clustered ROM : DEBUG -> Training segment 32 slice(768, 792, None)\n", + "( 13.06 sec) ARMA : DEBUG -> Training...\n", + "( 13.06 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.06 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.06 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.06 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.06 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.08 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.08 sec) Clustered ROM : DEBUG -> Training segment 33 slice(792, 816, None)\n", + "( 13.08 sec) ARMA : DEBUG -> Training...\n", + "( 13.08 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.08 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.08 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.08 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.08 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.09 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.09 sec) Clustered ROM : DEBUG -> Training segment 34 slice(816, 840, None)\n", + "( 13.09 sec) ARMA : DEBUG -> Training...\n", + "( 13.09 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.09 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.09 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.09 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.09 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.10 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.10 sec) Clustered ROM : DEBUG -> Training segment 35 slice(840, 864, None)\n", + "( 13.10 sec) ARMA : DEBUG -> Training...\n", + "( 13.10 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.10 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.10 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.10 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.10 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.11 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.11 sec) Clustered ROM : DEBUG -> Training segment 36 slice(864, 888, None)\n", + "( 13.11 sec) ARMA : DEBUG -> Training...\n", + "( 13.11 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.11 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.11 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.11 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.11 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.12 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.13 sec) Clustered ROM : DEBUG -> Training segment 37 slice(888, 912, None)\n", + "( 13.13 sec) ARMA : DEBUG -> Training...\n", + "( 13.13 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.13 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.13 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.13 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.13 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.14 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.14 sec) Clustered ROM : DEBUG -> Training segment 38 slice(912, 936, None)\n", + "( 13.14 sec) ARMA : DEBUG -> Training...\n", + "( 13.14 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.14 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.14 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.14 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.14 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.17 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.17 sec) Clustered ROM : DEBUG -> Training segment 39 slice(936, 960, None)\n", + "( 13.17 sec) ARMA : DEBUG -> Training...\n", + "( 13.17 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.17 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.17 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.17 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.17 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.18 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.18 sec) Clustered ROM : DEBUG -> Training segment 40 slice(960, 984, None)\n", + "( 13.18 sec) ARMA : DEBUG -> Training...\n", + "( 13.18 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.18 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.18 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.18 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.19 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.20 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.20 sec) Clustered ROM : DEBUG -> Training segment 41 slice(984, 1008, None)\n", + "( 13.20 sec) ARMA : DEBUG -> Training...\n", + "( 13.20 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.20 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.20 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.20 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.20 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.21 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.21 sec) Clustered ROM : DEBUG -> Training segment 42 slice(1008, 1032, None)\n", + "( 13.21 sec) ARMA : DEBUG -> Training...\n", + "( 13.21 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.21 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.21 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.21 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.21 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.21 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.22 sec) Clustered ROM : DEBUG -> Training segment 43 slice(1032, 1056, None)\n", + "( 13.22 sec) ARMA : DEBUG -> Training...\n", + "( 13.22 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.22 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.22 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.22 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.22 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.23 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.23 sec) Clustered ROM : DEBUG -> Training segment 44 slice(1056, 1080, None)\n", + "( 13.23 sec) ARMA : DEBUG -> Training...\n", + "( 13.23 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.23 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.23 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.23 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.23 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.26 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.26 sec) Clustered ROM : DEBUG -> Training segment 45 slice(1080, 1104, None)\n", + "( 13.26 sec) ARMA : DEBUG -> Training...\n", + "( 13.26 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.26 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.26 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.26 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.26 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.27 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.27 sec) Clustered ROM : DEBUG -> Training segment 46 slice(1104, 1128, None)\n", + "( 13.27 sec) ARMA : DEBUG -> Training...\n", + "( 13.27 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.27 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.27 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.27 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.27 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.30 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.30 sec) Clustered ROM : DEBUG -> Training segment 47 slice(1128, 1152, None)\n", + "( 13.30 sec) ARMA : DEBUG -> Training...\n", + "( 13.30 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.30 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.30 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.30 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.30 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.31 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.31 sec) Clustered ROM : DEBUG -> Training segment 48 slice(1152, 1176, None)\n", + "( 13.31 sec) ARMA : DEBUG -> Training...\n", + "( 13.31 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.31 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.31 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.31 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.31 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.32 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.32 sec) Clustered ROM : DEBUG -> Training segment 49 slice(1176, 1200, None)\n", + "( 13.32 sec) ARMA : DEBUG -> Training...\n", + "( 13.32 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.32 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.32 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.32 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.32 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.33 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.33 sec) Clustered ROM : DEBUG -> Training segment 50 slice(1200, 1224, None)\n", + "( 13.33 sec) ARMA : DEBUG -> Training...\n", + "( 13.33 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.33 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.33 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.33 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.33 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.36 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.36 sec) Clustered ROM : DEBUG -> Training segment 51 slice(1224, 1248, None)\n", + "( 13.36 sec) ARMA : DEBUG -> Training...\n", + "( 13.36 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.36 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.36 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.36 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.37 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.41 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.41 sec) Clustered ROM : DEBUG -> Training segment 52 slice(1248, 1272, None)\n", + "( 13.41 sec) ARMA : DEBUG -> Training...\n", + "( 13.41 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.41 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.41 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.41 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.41 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.42 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.42 sec) Clustered ROM : DEBUG -> Training segment 53 slice(1272, 1296, None)\n", + "( 13.42 sec) ARMA : DEBUG -> Training...\n", + "( 13.42 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.42 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.42 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.42 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.42 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.45 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.45 sec) Clustered ROM : DEBUG -> Training segment 54 slice(1296, 1320, None)\n", + "( 13.45 sec) ARMA : DEBUG -> Training...\n", + "( 13.45 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.45 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.45 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.45 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.45 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.47 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.47 sec) Clustered ROM : DEBUG -> Training segment 55 slice(1320, 1344, None)\n", + "( 13.47 sec) ARMA : DEBUG -> Training...\n", + "( 13.47 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.47 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.47 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.47 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.47 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.48 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.48 sec) Clustered ROM : DEBUG -> Training segment 56 slice(1344, 1368, None)\n", + "( 13.48 sec) ARMA : DEBUG -> Training...\n", + "( 13.48 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.48 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.48 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.48 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.48 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.49 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.49 sec) Clustered ROM : DEBUG -> Training segment 57 slice(1368, 1392, None)\n", + "( 13.49 sec) ARMA : DEBUG -> Training...\n", + "( 13.49 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.49 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.49 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.49 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.49 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.52 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.52 sec) Clustered ROM : DEBUG -> Training segment 58 slice(1392, 1416, None)\n", + "( 13.52 sec) ARMA : DEBUG -> Training...\n", + "( 13.52 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.52 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.52 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.52 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.52 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.53 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.54 sec) Clustered ROM : DEBUG -> Training segment 59 slice(1416, 1440, None)\n", + "( 13.54 sec) ARMA : DEBUG -> Training...\n", + "( 13.54 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.54 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.54 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.54 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.54 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.56 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.56 sec) Clustered ROM : DEBUG -> Training segment 60 slice(1440, 1464, None)\n", + "( 13.56 sec) ARMA : DEBUG -> Training...\n", + "( 13.56 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.56 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.56 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.56 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.56 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.57 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.57 sec) Clustered ROM : DEBUG -> Training segment 61 slice(1464, 1488, None)\n", + "( 13.57 sec) ARMA : DEBUG -> Training...\n", + "( 13.57 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.57 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.57 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.58 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.58 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.59 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.59 sec) Clustered ROM : DEBUG -> Training segment 62 slice(1488, 1512, None)\n", + "( 13.59 sec) ARMA : DEBUG -> Training...\n", + "( 13.59 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.59 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.59 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.59 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.59 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.60 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.60 sec) Clustered ROM : DEBUG -> Training segment 63 slice(1512, 1536, None)\n", + "( 13.60 sec) ARMA : DEBUG -> Training...\n", + "( 13.60 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.60 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.60 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.60 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.60 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.61 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.61 sec) Clustered ROM : DEBUG -> Training segment 64 slice(1536, 1560, None)\n", + "( 13.61 sec) ARMA : DEBUG -> Training...\n", + "( 13.61 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.61 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.61 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.61 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.61 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.62 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.62 sec) Clustered ROM : DEBUG -> Training segment 65 slice(1560, 1584, None)\n", + "( 13.62 sec) ARMA : DEBUG -> Training...\n", + "( 13.62 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.62 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.62 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.62 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.62 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.66 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.66 sec) Clustered ROM : DEBUG -> Training segment 66 slice(1584, 1608, None)\n", + "( 13.66 sec) ARMA : DEBUG -> Training...\n", + "( 13.66 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.66 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.66 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.66 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.66 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.69 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.69 sec) Clustered ROM : DEBUG -> Training segment 67 slice(1608, 1632, None)\n", + "( 13.69 sec) ARMA : DEBUG -> Training...\n", + "( 13.69 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.69 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.69 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.69 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.69 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.70 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.70 sec) Clustered ROM : DEBUG -> Training segment 68 slice(1632, 1656, None)\n", + "( 13.70 sec) ARMA : DEBUG -> Training...\n", + "( 13.70 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.70 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.70 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.70 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.70 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.71 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.71 sec) Clustered ROM : DEBUG -> Training segment 69 slice(1656, 1680, None)\n", + "( 13.71 sec) ARMA : DEBUG -> Training...\n", + "( 13.71 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.71 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.71 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.71 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.71 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.71 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.71 sec) Clustered ROM : DEBUG -> Training segment 70 slice(1680, 1704, None)\n", + "( 13.71 sec) ARMA : DEBUG -> Training...\n", + "( 13.71 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.71 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.71 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.71 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.72 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.72 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.72 sec) Clustered ROM : DEBUG -> Training segment 71 slice(1704, 1728, None)\n", + "( 13.72 sec) ARMA : DEBUG -> Training...\n", + "( 13.72 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.72 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.72 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.73 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.73 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.74 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.74 sec) Clustered ROM : DEBUG -> Training segment 72 slice(1728, 1752, None)\n", + "( 13.74 sec) ARMA : DEBUG -> Training...\n", + "( 13.74 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.74 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.74 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.74 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.74 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.75 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.75 sec) Clustered ROM : DEBUG -> Training segment 73 slice(1752, 1776, None)\n", + "( 13.75 sec) ARMA : DEBUG -> Training...\n", + "( 13.75 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.75 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.75 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.75 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.75 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.78 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.78 sec) Clustered ROM : DEBUG -> Training segment 74 slice(1776, 1800, None)\n", + "( 13.78 sec) ARMA : DEBUG -> Training...\n", + "( 13.78 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.78 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.78 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.78 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.78 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.82 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.82 sec) Clustered ROM : DEBUG -> Training segment 75 slice(1800, 1824, None)\n", + "( 13.82 sec) ARMA : DEBUG -> Training...\n", + "( 13.82 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.82 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.82 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.83 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.83 sec) Clustered ROM : DEBUG -> Training segment 76 slice(1824, 1848, None)\n", + "( 13.83 sec) ARMA : DEBUG -> Training...\n", + "( 13.83 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.83 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.83 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.84 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.84 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.85 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.85 sec) Clustered ROM : DEBUG -> Training segment 77 slice(1848, 1872, None)\n", + "( 13.85 sec) ARMA : DEBUG -> Training...\n", + "( 13.85 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.85 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.85 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.85 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.85 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.86 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.86 sec) Clustered ROM : DEBUG -> Training segment 78 slice(1872, 1896, None)\n", + "( 13.86 sec) ARMA : DEBUG -> Training...\n", + "( 13.86 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.86 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.86 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.86 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.86 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.87 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.87 sec) Clustered ROM : DEBUG -> Training segment 79 slice(1896, 1920, None)\n", + "( 13.87 sec) ARMA : DEBUG -> Training...\n", + "( 13.87 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.87 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.87 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.87 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.87 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.88 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.89 sec) Clustered ROM : DEBUG -> Training segment 80 slice(1920, 1944, None)\n", + "( 13.89 sec) ARMA : DEBUG -> Training...\n", + "( 13.89 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.89 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.89 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.89 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.89 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.90 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.90 sec) Clustered ROM : DEBUG -> Training segment 81 slice(1944, 1968, None)\n", + "( 13.90 sec) ARMA : DEBUG -> Training...\n", + "( 13.90 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.90 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.90 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.90 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.90 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.91 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.91 sec) Clustered ROM : DEBUG -> Training segment 82 slice(1968, 1992, None)\n", + "( 13.91 sec) ARMA : DEBUG -> Training...\n", + "( 13.91 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.91 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.91 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.91 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.91 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.91 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.91 sec) Clustered ROM : DEBUG -> Training segment 83 slice(1992, 2016, None)\n", + "( 13.91 sec) ARMA : DEBUG -> Training...\n", + "( 13.91 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.91 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.92 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.92 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.92 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.93 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.93 sec) Clustered ROM : DEBUG -> Training segment 84 slice(2016, 2040, None)\n", + "( 13.93 sec) ARMA : DEBUG -> Training...\n", + "( 13.93 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.93 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.93 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.93 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.93 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.94 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.94 sec) Clustered ROM : DEBUG -> Training segment 85 slice(2040, 2064, None)\n", + "( 13.94 sec) ARMA : DEBUG -> Training...\n", + "( 13.94 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.94 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.94 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.94 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.94 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 13.97 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 13.97 sec) Clustered ROM : DEBUG -> Training segment 86 slice(2064, 2088, None)\n", + "( 13.97 sec) ARMA : DEBUG -> Training...\n", + "( 13.97 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 13.97 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 13.97 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 13.97 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 13.97 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.01 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.01 sec) Clustered ROM : DEBUG -> Training segment 87 slice(2088, 2112, None)\n", + "( 14.01 sec) ARMA : DEBUG -> Training...\n", + "( 14.01 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.01 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.01 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.01 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.01 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.04 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.04 sec) Clustered ROM : DEBUG -> Training segment 88 slice(2112, 2136, None)\n", + "( 14.04 sec) ARMA : DEBUG -> Training...\n", + "( 14.04 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.04 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.04 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.04 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.04 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.06 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.06 sec) Clustered ROM : DEBUG -> Training segment 89 slice(2136, 2160, None)\n", + "( 14.06 sec) ARMA : DEBUG -> Training...\n", + "( 14.06 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.06 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.06 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.06 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.06 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.06 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.06 sec) Clustered ROM : DEBUG -> Training segment 90 slice(2160, 2184, None)\n", + "( 14.06 sec) ARMA : DEBUG -> Training...\n", + "( 14.06 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.06 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.06 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.06 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.06 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.07 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.08 sec) Clustered ROM : DEBUG -> Training segment 91 slice(2184, 2208, None)\n", + "( 14.08 sec) ARMA : DEBUG -> Training...\n", + "( 14.08 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.08 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.08 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.08 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.08 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.09 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.09 sec) Clustered ROM : DEBUG -> Training segment 92 slice(2208, 2232, None)\n", + "( 14.09 sec) ARMA : DEBUG -> Training...\n", + "( 14.09 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.09 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.09 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.09 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.09 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.10 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.10 sec) Clustered ROM : DEBUG -> Training segment 93 slice(2232, 2256, None)\n", + "( 14.10 sec) ARMA : DEBUG -> Training...\n", + "( 14.10 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.10 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.10 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.11 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.11 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.11 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.11 sec) Clustered ROM : DEBUG -> Training segment 94 slice(2256, 2280, None)\n", + "( 14.11 sec) ARMA : DEBUG -> Training...\n", + "( 14.11 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.11 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.11 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.11 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.11 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.12 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.12 sec) Clustered ROM : DEBUG -> Training segment 95 slice(2280, 2304, None)\n", + "( 14.12 sec) ARMA : DEBUG -> Training...\n", + "( 14.12 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.12 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.12 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.12 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.12 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.14 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.14 sec) Clustered ROM : DEBUG -> Training segment 96 slice(2304, 2328, None)\n", + "( 14.14 sec) ARMA : DEBUG -> Training...\n", + "( 14.14 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.14 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.14 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.14 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.14 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.15 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.15 sec) Clustered ROM : DEBUG -> Training segment 97 slice(2328, 2352, None)\n", + "( 14.15 sec) ARMA : DEBUG -> Training...\n", + "( 14.15 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.15 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.15 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.15 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.15 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.16 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.16 sec) Clustered ROM : DEBUG -> Training segment 98 slice(2352, 2376, None)\n", + "( 14.16 sec) ARMA : DEBUG -> Training...\n", + "( 14.16 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.16 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.16 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.16 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.16 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.18 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.18 sec) Clustered ROM : DEBUG -> Training segment 99 slice(2376, 2400, None)\n", + "( 14.18 sec) ARMA : DEBUG -> Training...\n", + "( 14.18 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.18 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.18 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.18 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.18 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.19 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.19 sec) Clustered ROM : DEBUG -> Training segment 100 slice(2400, 2424, None)\n", + "( 14.19 sec) ARMA : DEBUG -> Training...\n", + "( 14.19 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.19 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.19 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.19 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.19 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.22 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.22 sec) Clustered ROM : DEBUG -> Training segment 101 slice(2424, 2448, None)\n", + "( 14.22 sec) ARMA : DEBUG -> Training...\n", + "( 14.22 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.22 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.22 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.23 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.23 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.24 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.24 sec) Clustered ROM : DEBUG -> Training segment 102 slice(2448, 2472, None)\n", + "( 14.24 sec) ARMA : DEBUG -> Training...\n", + "( 14.24 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.24 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.24 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.24 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.24 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.25 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.25 sec) Clustered ROM : DEBUG -> Training segment 103 slice(2472, 2496, None)\n", + "( 14.25 sec) ARMA : DEBUG -> Training...\n", + "( 14.25 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.25 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.25 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.25 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.25 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.26 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.26 sec) Clustered ROM : DEBUG -> Training segment 104 slice(2496, 2520, None)\n", + "( 14.26 sec) ARMA : DEBUG -> Training...\n", + "( 14.26 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.26 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.26 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.26 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.26 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.27 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.27 sec) Clustered ROM : DEBUG -> Training segment 105 slice(2520, 2544, None)\n", + "( 14.27 sec) ARMA : DEBUG -> Training...\n", + "( 14.27 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.27 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.27 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.27 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.27 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.28 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.29 sec) Clustered ROM : DEBUG -> Training segment 106 slice(2544, 2568, None)\n", + "( 14.29 sec) ARMA : DEBUG -> Training...\n", + "( 14.29 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.29 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.29 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.29 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.29 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.30 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.30 sec) Clustered ROM : DEBUG -> Training segment 107 slice(2568, 2592, None)\n", + "( 14.30 sec) ARMA : DEBUG -> Training...\n", + "( 14.30 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.30 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.30 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.30 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.30 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.31 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.31 sec) Clustered ROM : DEBUG -> Training segment 108 slice(2592, 2616, None)\n", + "( 14.31 sec) ARMA : DEBUG -> Training...\n", + "( 14.31 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.31 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.31 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.31 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.31 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.32 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.32 sec) Clustered ROM : DEBUG -> Training segment 109 slice(2616, 2640, None)\n", + "( 14.32 sec) ARMA : DEBUG -> Training...\n", + "( 14.32 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.32 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.32 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.32 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.32 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.33 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.33 sec) Clustered ROM : DEBUG -> Training segment 110 slice(2640, 2664, None)\n", + "( 14.33 sec) ARMA : DEBUG -> Training...\n", + "( 14.33 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.33 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.33 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.33 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.34 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.34 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.35 sec) Clustered ROM : DEBUG -> Training segment 111 slice(2664, 2688, None)\n", + "( 14.35 sec) ARMA : DEBUG -> Training...\n", + "( 14.35 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.35 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.35 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.35 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.35 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.36 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.36 sec) Clustered ROM : DEBUG -> Training segment 112 slice(2688, 2712, None)\n", + "( 14.36 sec) ARMA : DEBUG -> Training...\n", + "( 14.36 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.36 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.36 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.36 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.36 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.36 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.36 sec) Clustered ROM : DEBUG -> Training segment 113 slice(2712, 2736, None)\n", + "( 14.36 sec) ARMA : DEBUG -> Training...\n", + "( 14.36 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.36 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.36 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.36 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.36 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.37 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.37 sec) Clustered ROM : DEBUG -> Training segment 114 slice(2736, 2760, None)\n", + "( 14.37 sec) ARMA : DEBUG -> Training...\n", + "( 14.37 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.37 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.37 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.37 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.38 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.40 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.40 sec) Clustered ROM : DEBUG -> Training segment 115 slice(2760, 2784, None)\n", + "( 14.40 sec) ARMA : DEBUG -> Training...\n", + "( 14.40 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.40 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.40 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.40 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.40 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.41 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.41 sec) Clustered ROM : DEBUG -> Training segment 116 slice(2784, 2808, None)\n", + "( 14.41 sec) ARMA : DEBUG -> Training...\n", + "( 14.41 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.41 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.41 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.41 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.41 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.41 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.42 sec) Clustered ROM : DEBUG -> Training segment 117 slice(2808, 2832, None)\n", + "( 14.42 sec) ARMA : DEBUG -> Training...\n", + "( 14.42 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.42 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.42 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.42 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.42 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.43 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.43 sec) Clustered ROM : DEBUG -> Training segment 118 slice(2832, 2856, None)\n", + "( 14.43 sec) ARMA : DEBUG -> Training...\n", + "( 14.43 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.43 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.43 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.43 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.43 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.44 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.44 sec) Clustered ROM : DEBUG -> Training segment 119 slice(2856, 2880, None)\n", + "( 14.44 sec) ARMA : DEBUG -> Training...\n", + "( 14.44 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.44 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.44 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.44 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.45 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.46 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.46 sec) Clustered ROM : DEBUG -> Training segment 120 slice(2880, 2904, None)\n", + "( 14.46 sec) ARMA : DEBUG -> Training...\n", + "( 14.46 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.46 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.46 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.46 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.46 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.46 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.46 sec) Clustered ROM : DEBUG -> Training segment 121 slice(2904, 2928, None)\n", + "( 14.46 sec) ARMA : DEBUG -> Training...\n", + "( 14.46 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.46 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.46 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.46 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.46 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.47 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.47 sec) Clustered ROM : DEBUG -> Training segment 122 slice(2928, 2952, None)\n", + "( 14.47 sec) ARMA : DEBUG -> Training...\n", + "( 14.47 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.47 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.47 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.48 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.48 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.51 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.51 sec) Clustered ROM : DEBUG -> Training segment 123 slice(2952, 2976, None)\n", + "( 14.51 sec) ARMA : DEBUG -> Training...\n", + "( 14.51 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.51 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.51 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.51 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.51 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.51 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.52 sec) Clustered ROM : DEBUG -> Training segment 124 slice(2976, 3000, None)\n", + "( 14.52 sec) ARMA : DEBUG -> Training...\n", + "( 14.52 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.52 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.52 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.52 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.52 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.53 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.53 sec) Clustered ROM : DEBUG -> Training segment 125 slice(3000, 3024, None)\n", + "( 14.53 sec) ARMA : DEBUG -> Training...\n", + "( 14.53 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.53 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.53 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.53 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.53 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.54 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.54 sec) Clustered ROM : DEBUG -> Training segment 126 slice(3024, 3048, None)\n", + "( 14.54 sec) ARMA : DEBUG -> Training...\n", + "( 14.54 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.54 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.54 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.54 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.54 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.57 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.57 sec) Clustered ROM : DEBUG -> Training segment 127 slice(3048, 3072, None)\n", + "( 14.57 sec) ARMA : DEBUG -> Training...\n", + "( 14.57 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.57 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.57 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.57 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.57 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.58 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.58 sec) Clustered ROM : DEBUG -> Training segment 128 slice(3072, 3096, None)\n", + "( 14.58 sec) ARMA : DEBUG -> Training...\n", + "( 14.58 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.58 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.58 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.58 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.58 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.59 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.60 sec) Clustered ROM : DEBUG -> Training segment 129 slice(3096, 3120, None)\n", + "( 14.60 sec) ARMA : DEBUG -> Training...\n", + "( 14.60 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.60 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.60 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.60 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.60 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.61 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.61 sec) Clustered ROM : DEBUG -> Training segment 130 slice(3120, 3144, None)\n", + "( 14.61 sec) ARMA : DEBUG -> Training...\n", + "( 14.61 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.61 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.61 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.61 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.61 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.61 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.61 sec) Clustered ROM : DEBUG -> Training segment 131 slice(3144, 3168, None)\n", + "( 14.61 sec) ARMA : DEBUG -> Training...\n", + "( 14.61 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.61 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.61 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.61 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.61 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.62 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.63 sec) Clustered ROM : DEBUG -> Training segment 132 slice(3168, 3192, None)\n", + "( 14.63 sec) ARMA : DEBUG -> Training...\n", + "( 14.63 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.63 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.63 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.63 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.63 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.64 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.64 sec) Clustered ROM : DEBUG -> Training segment 133 slice(3192, 3216, None)\n", + "( 14.64 sec) ARMA : DEBUG -> Training...\n", + "( 14.64 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.64 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.64 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.64 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.64 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.65 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.65 sec) Clustered ROM : DEBUG -> Training segment 134 slice(3216, 3240, None)\n", + "( 14.65 sec) ARMA : DEBUG -> Training...\n", + "( 14.65 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.65 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.65 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.65 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.65 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.66 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.66 sec) Clustered ROM : DEBUG -> Training segment 135 slice(3240, 3264, None)\n", + "( 14.66 sec) ARMA : DEBUG -> Training...\n", + "( 14.66 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.67 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.67 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.67 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.67 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.67 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.67 sec) Clustered ROM : DEBUG -> Training segment 136 slice(3264, 3288, None)\n", + "( 14.67 sec) ARMA : DEBUG -> Training...\n", + "( 14.67 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.67 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.67 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.67 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.67 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.68 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.69 sec) Clustered ROM : DEBUG -> Training segment 137 slice(3288, 3312, None)\n", + "( 14.69 sec) ARMA : DEBUG -> Training...\n", + "( 14.69 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.69 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.69 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.69 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.69 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.70 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.70 sec) Clustered ROM : DEBUG -> Training segment 138 slice(3312, 3336, None)\n", + "( 14.70 sec) ARMA : DEBUG -> Training...\n", + "( 14.70 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.70 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.70 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.70 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.70 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.71 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.71 sec) Clustered ROM : DEBUG -> Training segment 139 slice(3336, 3360, None)\n", + "( 14.71 sec) ARMA : DEBUG -> Training...\n", + "( 14.71 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.71 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.71 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.71 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.71 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.72 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.72 sec) Clustered ROM : DEBUG -> Training segment 140 slice(3360, 3384, None)\n", + "( 14.72 sec) ARMA : DEBUG -> Training...\n", + "( 14.72 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.72 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.72 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.72 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.72 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.74 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.74 sec) Clustered ROM : DEBUG -> Training segment 141 slice(3384, 3408, None)\n", + "( 14.74 sec) ARMA : DEBUG -> Training...\n", + "( 14.74 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.74 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.74 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.74 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.74 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.77 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.77 sec) Clustered ROM : DEBUG -> Training segment 142 slice(3408, 3432, None)\n", + "( 14.77 sec) ARMA : DEBUG -> Training...\n", + "( 14.77 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.77 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.77 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.77 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.77 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.78 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.78 sec) Clustered ROM : DEBUG -> Training segment 143 slice(3432, 3456, None)\n", + "( 14.78 sec) ARMA : DEBUG -> Training...\n", + "( 14.78 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.78 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.78 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.78 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.78 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.79 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.79 sec) Clustered ROM : DEBUG -> Training segment 144 slice(3456, 3480, None)\n", + "( 14.79 sec) ARMA : DEBUG -> Training...\n", + "( 14.79 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.79 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.79 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.79 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.80 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.81 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.81 sec) Clustered ROM : DEBUG -> Training segment 145 slice(3480, 3504, None)\n", + "( 14.81 sec) ARMA : DEBUG -> Training...\n", + "( 14.81 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.81 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.81 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.81 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.81 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.83 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.83 sec) Clustered ROM : DEBUG -> Training segment 146 slice(3504, 3528, None)\n", + "( 14.83 sec) ARMA : DEBUG -> Training...\n", + "( 14.83 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.83 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.83 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.83 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.83 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.85 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.85 sec) Clustered ROM : DEBUG -> Training segment 147 slice(3528, 3552, None)\n", + "( 14.85 sec) ARMA : DEBUG -> Training...\n", + "( 14.85 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.85 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.85 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.85 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.85 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.85 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.85 sec) Clustered ROM : DEBUG -> Training segment 148 slice(3552, 3576, None)\n", + "( 14.85 sec) ARMA : DEBUG -> Training...\n", + "( 14.85 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.85 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.85 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.85 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.86 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.87 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.87 sec) Clustered ROM : DEBUG -> Training segment 149 slice(3576, 3600, None)\n", + "( 14.87 sec) ARMA : DEBUG -> Training...\n", + "( 14.87 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.87 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.87 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.87 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.87 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.90 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.91 sec) Clustered ROM : DEBUG -> Training segment 150 slice(3600, 3624, None)\n", + "( 14.91 sec) ARMA : DEBUG -> Training...\n", + "( 14.91 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.91 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.91 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.91 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.91 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.93 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.93 sec) Clustered ROM : DEBUG -> Training segment 151 slice(3624, 3648, None)\n", + "( 14.93 sec) ARMA : DEBUG -> Training...\n", + "( 14.93 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.93 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.93 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.93 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.93 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.94 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.94 sec) Clustered ROM : DEBUG -> Training segment 152 slice(3648, 3672, None)\n", + "( 14.94 sec) ARMA : DEBUG -> Training...\n", + "( 14.94 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.94 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.94 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.94 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.94 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.95 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.96 sec) Clustered ROM : DEBUG -> Training segment 153 slice(3672, 3696, None)\n", + "( 14.96 sec) ARMA : DEBUG -> Training...\n", + "( 14.96 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.96 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.96 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.96 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.96 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.97 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.97 sec) Clustered ROM : DEBUG -> Training segment 154 slice(3696, 3720, None)\n", + "( 14.97 sec) ARMA : DEBUG -> Training...\n", + "( 14.97 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.97 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.97 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.97 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.97 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.98 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.98 sec) Clustered ROM : DEBUG -> Training segment 155 slice(3720, 3744, None)\n", + "( 14.98 sec) ARMA : DEBUG -> Training...\n", + "( 14.98 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.98 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.98 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.98 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.98 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.98 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.98 sec) Clustered ROM : DEBUG -> Training segment 156 slice(3744, 3768, None)\n", + "( 14.98 sec) ARMA : DEBUG -> Training...\n", + "( 14.98 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.98 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 14.98 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 14.98 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 14.98 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 14.99 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 14.99 sec) Clustered ROM : DEBUG -> Training segment 157 slice(3768, 3792, None)\n", + "( 14.99 sec) ARMA : DEBUG -> Training...\n", + "( 14.99 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 14.99 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.00 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.00 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.00 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.02 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.02 sec) Clustered ROM : DEBUG -> Training segment 158 slice(3792, 3816, None)\n", + "( 15.02 sec) ARMA : DEBUG -> Training...\n", + "( 15.02 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.02 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.02 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.02 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.02 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.03 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.03 sec) Clustered ROM : DEBUG -> Training segment 159 slice(3816, 3840, None)\n", + "( 15.03 sec) ARMA : DEBUG -> Training...\n", + "( 15.03 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.03 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.03 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.03 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.04 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.05 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.05 sec) Clustered ROM : DEBUG -> Training segment 160 slice(3840, 3864, None)\n", + "( 15.05 sec) ARMA : DEBUG -> Training...\n", + "( 15.05 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.05 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.05 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.05 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.05 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.06 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.06 sec) Clustered ROM : DEBUG -> Training segment 161 slice(3864, 3888, None)\n", + "( 15.06 sec) ARMA : DEBUG -> Training...\n", + "( 15.06 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.06 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.06 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.06 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.06 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.07 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.07 sec) Clustered ROM : DEBUG -> Training segment 162 slice(3888, 3912, None)\n", + "( 15.07 sec) ARMA : DEBUG -> Training...\n", + "( 15.07 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.07 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.07 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.07 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.07 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.08 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.08 sec) Clustered ROM : DEBUG -> Training segment 163 slice(3912, 3936, None)\n", + "( 15.08 sec) ARMA : DEBUG -> Training...\n", + "( 15.08 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.08 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.08 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.08 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.08 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.09 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.09 sec) Clustered ROM : DEBUG -> Training segment 164 slice(3936, 3960, None)\n", + "( 15.09 sec) ARMA : DEBUG -> Training...\n", + "( 15.09 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.09 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.09 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.09 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.09 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.10 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.10 sec) Clustered ROM : DEBUG -> Training segment 165 slice(3960, 3984, None)\n", + "( 15.10 sec) ARMA : DEBUG -> Training...\n", + "( 15.10 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.10 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.10 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.10 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.10 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.11 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.11 sec) Clustered ROM : DEBUG -> Training segment 166 slice(3984, 4008, None)\n", + "( 15.11 sec) ARMA : DEBUG -> Training...\n", + "( 15.11 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.11 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.11 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.11 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.11 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.12 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.12 sec) Clustered ROM : DEBUG -> Training segment 167 slice(4008, 4032, None)\n", + "( 15.12 sec) ARMA : DEBUG -> Training...\n", + "( 15.12 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.12 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.12 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.12 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.12 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.14 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.14 sec) Clustered ROM : DEBUG -> Training segment 168 slice(4032, 4056, None)\n", + "( 15.14 sec) ARMA : DEBUG -> Training...\n", + "( 15.14 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.14 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.14 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.14 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.14 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.15 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.15 sec) Clustered ROM : DEBUG -> Training segment 169 slice(4056, 4080, None)\n", + "( 15.15 sec) ARMA : DEBUG -> Training...\n", + "( 15.15 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.15 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.15 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.15 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.15 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.16 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.16 sec) Clustered ROM : DEBUG -> Training segment 170 slice(4080, 4104, None)\n", + "( 15.16 sec) ARMA : DEBUG -> Training...\n", + "( 15.16 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.16 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.16 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.16 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.16 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.17 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.17 sec) Clustered ROM : DEBUG -> Training segment 171 slice(4104, 4128, None)\n", + "( 15.17 sec) ARMA : DEBUG -> Training...\n", + "( 15.17 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.17 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.17 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.17 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.17 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.18 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.18 sec) Clustered ROM : DEBUG -> Training segment 172 slice(4128, 4152, None)\n", + "( 15.18 sec) ARMA : DEBUG -> Training...\n", + "( 15.18 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.18 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.18 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.18 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.18 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.19 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.19 sec) Clustered ROM : DEBUG -> Training segment 173 slice(4152, 4176, None)\n", + "( 15.19 sec) ARMA : DEBUG -> Training...\n", + "( 15.19 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.19 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.19 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.19 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.19 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.20 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.21 sec) Clustered ROM : DEBUG -> Training segment 174 slice(4176, 4200, None)\n", + "( 15.21 sec) ARMA : DEBUG -> Training...\n", + "( 15.21 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.21 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.21 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.21 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.21 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.21 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.21 sec) Clustered ROM : DEBUG -> Training segment 175 slice(4200, 4224, None)\n", + "( 15.21 sec) ARMA : DEBUG -> Training...\n", + "( 15.21 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.21 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.21 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.21 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.21 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.22 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.22 sec) Clustered ROM : DEBUG -> Training segment 176 slice(4224, 4248, None)\n", + "( 15.22 sec) ARMA : DEBUG -> Training...\n", + "( 15.22 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.22 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.22 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.22 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.23 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.24 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.24 sec) Clustered ROM : DEBUG -> Training segment 177 slice(4248, 4272, None)\n", + "( 15.24 sec) ARMA : DEBUG -> Training...\n", + "( 15.24 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.24 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.24 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.24 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.24 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.26 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.26 sec) Clustered ROM : DEBUG -> Training segment 178 slice(4272, 4296, None)\n", + "( 15.26 sec) ARMA : DEBUG -> Training...\n", + "( 15.26 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.26 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.26 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.26 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.26 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.27 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.27 sec) Clustered ROM : DEBUG -> Training segment 179 slice(4296, 4320, None)\n", + "( 15.27 sec) ARMA : DEBUG -> Training...\n", + "( 15.27 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.27 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.27 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.27 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.27 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.28 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.28 sec) Clustered ROM : DEBUG -> Training segment 180 slice(4320, 4344, None)\n", + "( 15.28 sec) ARMA : DEBUG -> Training...\n", + "( 15.28 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.28 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.28 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.28 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.28 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.28 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.28 sec) Clustered ROM : DEBUG -> Training segment 181 slice(4344, 4368, None)\n", + "( 15.28 sec) ARMA : DEBUG -> Training...\n", + "( 15.28 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.28 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.28 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.29 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.29 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.30 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.30 sec) Clustered ROM : DEBUG -> Training segment 182 slice(4368, 4392, None)\n", + "( 15.30 sec) ARMA : DEBUG -> Training...\n", + "( 15.30 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.30 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.30 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.30 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.30 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.31 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.31 sec) Clustered ROM : DEBUG -> Training segment 183 slice(4392, 4416, None)\n", + "( 15.31 sec) ARMA : DEBUG -> Training...\n", + "( 15.31 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.31 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.31 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.31 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.31 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.32 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.32 sec) Clustered ROM : DEBUG -> Training segment 184 slice(4416, 4440, None)\n", + "( 15.32 sec) ARMA : DEBUG -> Training...\n", + "( 15.32 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.32 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.32 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.32 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.32 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.33 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.33 sec) Clustered ROM : DEBUG -> Training segment 185 slice(4440, 4464, None)\n", + "( 15.33 sec) ARMA : DEBUG -> Training...\n", + "( 15.33 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.33 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.33 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.33 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.33 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.34 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.34 sec) Clustered ROM : DEBUG -> Training segment 186 slice(4464, 4488, None)\n", + "( 15.34 sec) ARMA : DEBUG -> Training...\n", + "( 15.34 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.34 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.34 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.34 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.34 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.35 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.35 sec) Clustered ROM : DEBUG -> Training segment 187 slice(4488, 4512, None)\n", + "( 15.35 sec) ARMA : DEBUG -> Training...\n", + "( 15.35 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.35 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.35 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.35 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.35 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.37 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.37 sec) Clustered ROM : DEBUG -> Training segment 188 slice(4512, 4536, None)\n", + "( 15.37 sec) ARMA : DEBUG -> Training...\n", + "( 15.37 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.37 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.37 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.37 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.37 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.37 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.37 sec) Clustered ROM : DEBUG -> Training segment 189 slice(4536, 4560, None)\n", + "( 15.37 sec) ARMA : DEBUG -> Training...\n", + "( 15.37 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.37 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.37 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.37 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.37 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.38 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.38 sec) Clustered ROM : DEBUG -> Training segment 190 slice(4560, 4584, None)\n", + "( 15.38 sec) ARMA : DEBUG -> Training...\n", + "( 15.38 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.38 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.38 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.38 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.38 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.40 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.40 sec) Clustered ROM : DEBUG -> Training segment 191 slice(4584, 4608, None)\n", + "( 15.40 sec) ARMA : DEBUG -> Training...\n", + "( 15.40 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.40 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.40 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.40 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.40 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.41 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.41 sec) Clustered ROM : DEBUG -> Training segment 192 slice(4608, 4632, None)\n", + "( 15.41 sec) ARMA : DEBUG -> Training...\n", + "( 15.41 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.41 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.41 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.41 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.41 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.42 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.42 sec) Clustered ROM : DEBUG -> Training segment 193 slice(4632, 4656, None)\n", + "( 15.42 sec) ARMA : DEBUG -> Training...\n", + "( 15.42 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.42 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.42 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.42 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.42 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.43 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.44 sec) Clustered ROM : DEBUG -> Training segment 194 slice(4656, 4680, None)\n", + "( 15.44 sec) ARMA : DEBUG -> Training...\n", + "( 15.44 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.44 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.44 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.44 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.44 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.45 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.45 sec) Clustered ROM : DEBUG -> Training segment 195 slice(4680, 4704, None)\n", + "( 15.45 sec) ARMA : DEBUG -> Training...\n", + "( 15.45 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.45 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.45 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.45 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.45 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.48 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.48 sec) Clustered ROM : DEBUG -> Training segment 196 slice(4704, 4728, None)\n", + "( 15.48 sec) ARMA : DEBUG -> Training...\n", + "( 15.48 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.48 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.48 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.48 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.48 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.49 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.49 sec) Clustered ROM : DEBUG -> Training segment 197 slice(4728, 4752, None)\n", + "( 15.49 sec) ARMA : DEBUG -> Training...\n", + "( 15.49 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.49 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.49 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.49 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.49 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.50 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.50 sec) Clustered ROM : DEBUG -> Training segment 198 slice(4752, 4776, None)\n", + "( 15.50 sec) ARMA : DEBUG -> Training...\n", + "( 15.50 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.50 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.50 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.50 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.50 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.51 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.51 sec) Clustered ROM : DEBUG -> Training segment 199 slice(4776, 4800, None)\n", + "( 15.51 sec) ARMA : DEBUG -> Training...\n", + "( 15.51 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.51 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.51 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.51 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.51 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.53 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.53 sec) Clustered ROM : DEBUG -> Training segment 200 slice(4800, 4824, None)\n", + "( 15.53 sec) ARMA : DEBUG -> Training...\n", + "( 15.53 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.53 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.53 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.53 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.53 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.54 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.54 sec) Clustered ROM : DEBUG -> Training segment 201 slice(4824, 4848, None)\n", + "( 15.54 sec) ARMA : DEBUG -> Training...\n", + "( 15.54 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.54 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.54 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.54 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.54 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.54 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.54 sec) Clustered ROM : DEBUG -> Training segment 202 slice(4848, 4872, None)\n", + "( 15.54 sec) ARMA : DEBUG -> Training...\n", + "( 15.54 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.54 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.54 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.54 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.54 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.55 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.55 sec) Clustered ROM : DEBUG -> Training segment 203 slice(4872, 4896, None)\n", + "( 15.55 sec) ARMA : DEBUG -> Training...\n", + "( 15.55 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.55 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.55 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.56 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.56 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.57 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.57 sec) Clustered ROM : DEBUG -> Training segment 204 slice(4896, 4920, None)\n", + "( 15.57 sec) ARMA : DEBUG -> Training...\n", + "( 15.57 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.57 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.57 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.57 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.57 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.58 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.58 sec) Clustered ROM : DEBUG -> Training segment 205 slice(4920, 4944, None)\n", + "( 15.58 sec) ARMA : DEBUG -> Training...\n", + "( 15.58 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.58 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.58 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.58 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.58 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.58 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.58 sec) Clustered ROM : DEBUG -> Training segment 206 slice(4944, 4968, None)\n", + "( 15.59 sec) ARMA : DEBUG -> Training...\n", + "( 15.59 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.59 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.59 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.59 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.59 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.62 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.62 sec) Clustered ROM : DEBUG -> Training segment 207 slice(4968, 4992, None)\n", + "( 15.62 sec) ARMA : DEBUG -> Training...\n", + "( 15.62 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.62 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.62 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.62 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.62 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.62 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.62 sec) Clustered ROM : DEBUG -> Training segment 208 slice(4992, 5016, None)\n", + "( 15.62 sec) ARMA : DEBUG -> Training...\n", + "( 15.62 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.62 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.62 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.62 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.62 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.63 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.64 sec) Clustered ROM : DEBUG -> Training segment 209 slice(5016, 5040, None)\n", + "( 15.64 sec) ARMA : DEBUG -> Training...\n", + "( 15.64 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.64 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.64 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.64 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.64 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.65 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.65 sec) Clustered ROM : DEBUG -> Training segment 210 slice(5040, 5064, None)\n", + "( 15.65 sec) ARMA : DEBUG -> Training...\n", + "( 15.65 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.65 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.65 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.65 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.65 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.66 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.66 sec) Clustered ROM : DEBUG -> Training segment 211 slice(5064, 5088, None)\n", + "( 15.66 sec) ARMA : DEBUG -> Training...\n", + "( 15.66 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.66 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.66 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.66 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.66 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.67 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.67 sec) Clustered ROM : DEBUG -> Training segment 212 slice(5088, 5112, None)\n", + "( 15.67 sec) ARMA : DEBUG -> Training...\n", + "( 15.67 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.67 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.67 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.67 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.67 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.67 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.68 sec) Clustered ROM : DEBUG -> Training segment 213 slice(5112, 5136, None)\n", + "( 15.68 sec) ARMA : DEBUG -> Training...\n", + "( 15.68 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.68 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.68 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.68 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.68 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.69 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.69 sec) Clustered ROM : DEBUG -> Training segment 214 slice(5136, 5160, None)\n", + "( 15.69 sec) ARMA : DEBUG -> Training...\n", + "( 15.69 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.69 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.69 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.69 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.69 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.71 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.71 sec) Clustered ROM : DEBUG -> Training segment 215 slice(5160, 5184, None)\n", + "( 15.71 sec) ARMA : DEBUG -> Training...\n", + "( 15.71 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.71 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.71 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.71 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.71 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.71 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.71 sec) Clustered ROM : DEBUG -> Training segment 216 slice(5184, 5208, None)\n", + "( 15.71 sec) ARMA : DEBUG -> Training...\n", + "( 15.71 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.71 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.71 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.71 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.71 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.74 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.74 sec) Clustered ROM : DEBUG -> Training segment 217 slice(5208, 5232, None)\n", + "( 15.74 sec) ARMA : DEBUG -> Training...\n", + "( 15.74 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.74 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.74 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.74 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.74 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.76 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.76 sec) Clustered ROM : DEBUG -> Training segment 218 slice(5232, 5256, None)\n", + "( 15.76 sec) ARMA : DEBUG -> Training...\n", + "( 15.76 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.76 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.76 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.76 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.76 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.79 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.79 sec) Clustered ROM : DEBUG -> Training segment 219 slice(5256, 5280, None)\n", + "( 15.79 sec) ARMA : DEBUG -> Training...\n", + "( 15.79 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.79 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.79 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.79 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.79 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.80 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.80 sec) Clustered ROM : DEBUG -> Training segment 220 slice(5280, 5304, None)\n", + "( 15.80 sec) ARMA : DEBUG -> Training...\n", + "( 15.80 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.80 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.80 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.81 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.81 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.81 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.81 sec) Clustered ROM : DEBUG -> Training segment 221 slice(5304, 5328, None)\n", + "( 15.81 sec) ARMA : DEBUG -> Training...\n", + "( 15.81 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.81 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.81 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.81 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.81 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.83 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.83 sec) Clustered ROM : DEBUG -> Training segment 222 slice(5328, 5352, None)\n", + "( 15.83 sec) ARMA : DEBUG -> Training...\n", + "( 15.83 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.83 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.83 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.83 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.83 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.85 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.85 sec) Clustered ROM : DEBUG -> Training segment 223 slice(5352, 5376, None)\n", + "( 15.85 sec) ARMA : DEBUG -> Training...\n", + "( 15.85 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.85 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.85 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.85 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.85 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.86 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.86 sec) Clustered ROM : DEBUG -> Training segment 224 slice(5376, 5400, None)\n", + "( 15.86 sec) ARMA : DEBUG -> Training...\n", + "( 15.86 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.86 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.86 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.86 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.86 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.87 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.87 sec) Clustered ROM : DEBUG -> Training segment 225 slice(5400, 5424, None)\n", + "( 15.87 sec) ARMA : DEBUG -> Training...\n", + "( 15.87 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.87 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.87 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.87 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.87 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.88 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.88 sec) Clustered ROM : DEBUG -> Training segment 226 slice(5424, 5448, None)\n", + "( 15.88 sec) ARMA : DEBUG -> Training...\n", + "( 15.88 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.88 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.88 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.88 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.88 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.92 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.92 sec) Clustered ROM : DEBUG -> Training segment 227 slice(5448, 5472, None)\n", + "( 15.92 sec) ARMA : DEBUG -> Training...\n", + "( 15.92 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.92 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.92 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.92 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.92 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.93 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.93 sec) Clustered ROM : DEBUG -> Training segment 228 slice(5472, 5496, None)\n", + "( 15.93 sec) ARMA : DEBUG -> Training...\n", + "( 15.93 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.93 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.93 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.93 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.93 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.94 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.94 sec) Clustered ROM : DEBUG -> Training segment 229 slice(5496, 5520, None)\n", + "( 15.94 sec) ARMA : DEBUG -> Training...\n", + "( 15.94 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.94 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.94 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.94 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.94 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.94 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.94 sec) Clustered ROM : DEBUG -> Training segment 230 slice(5520, 5544, None)\n", + "( 15.94 sec) ARMA : DEBUG -> Training...\n", + "( 15.94 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.95 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.95 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.95 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.95 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.96 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.96 sec) Clustered ROM : DEBUG -> Training segment 231 slice(5544, 5568, None)\n", + "( 15.96 sec) ARMA : DEBUG -> Training...\n", + "( 15.96 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.96 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.96 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.96 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.96 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.97 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.97 sec) Clustered ROM : DEBUG -> Training segment 232 slice(5568, 5592, None)\n", + "( 15.97 sec) ARMA : DEBUG -> Training...\n", + "( 15.97 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.97 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.97 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.97 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.97 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.98 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.98 sec) Clustered ROM : DEBUG -> Training segment 233 slice(5592, 5616, None)\n", + "( 15.98 sec) ARMA : DEBUG -> Training...\n", + "( 15.98 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.98 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.98 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.98 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.99 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 15.99 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 15.99 sec) Clustered ROM : DEBUG -> Training segment 234 slice(5616, 5640, None)\n", + "( 15.99 sec) ARMA : DEBUG -> Training...\n", + "( 15.99 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 15.99 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 15.99 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 15.99 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 15.99 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.00 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.00 sec) Clustered ROM : DEBUG -> Training segment 235 slice(5640, 5664, None)\n", + "( 16.00 sec) ARMA : DEBUG -> Training...\n", + "( 16.00 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.00 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.00 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.00 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.00 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.01 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.02 sec) Clustered ROM : DEBUG -> Training segment 236 slice(5664, 5688, None)\n", + "( 16.02 sec) ARMA : DEBUG -> Training...\n", + "( 16.02 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.02 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.02 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.02 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.02 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.03 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.03 sec) Clustered ROM : DEBUG -> Training segment 237 slice(5688, 5712, None)\n", + "( 16.03 sec) ARMA : DEBUG -> Training...\n", + "( 16.03 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.03 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.03 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.03 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.03 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.03 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.03 sec) Clustered ROM : DEBUG -> Training segment 238 slice(5712, 5736, None)\n", + "( 16.03 sec) ARMA : DEBUG -> Training...\n", + "( 16.03 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.03 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.03 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.03 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.03 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.04 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.04 sec) Clustered ROM : DEBUG -> Training segment 239 slice(5736, 5760, None)\n", + "( 16.04 sec) ARMA : DEBUG -> Training...\n", + "( 16.04 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.04 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.04 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.04 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.04 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.05 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.05 sec) Clustered ROM : DEBUG -> Training segment 240 slice(5760, 5784, None)\n", + "( 16.05 sec) ARMA : DEBUG -> Training...\n", + "( 16.05 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.05 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.05 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.05 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.05 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.07 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.07 sec) Clustered ROM : DEBUG -> Training segment 241 slice(5784, 5808, None)\n", + "( 16.07 sec) ARMA : DEBUG -> Training...\n", + "( 16.07 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.07 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.07 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.07 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.07 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.08 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.08 sec) Clustered ROM : DEBUG -> Training segment 242 slice(5808, 5832, None)\n", + "( 16.08 sec) ARMA : DEBUG -> Training...\n", + "( 16.08 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.08 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.08 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.08 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.08 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.09 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.09 sec) Clustered ROM : DEBUG -> Training segment 243 slice(5832, 5856, None)\n", + "( 16.09 sec) ARMA : DEBUG -> Training...\n", + "( 16.09 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.09 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.09 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.09 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.09 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.10 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.10 sec) Clustered ROM : DEBUG -> Training segment 244 slice(5856, 5880, None)\n", + "( 16.10 sec) ARMA : DEBUG -> Training...\n", + "( 16.10 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.10 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.10 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.10 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.10 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.11 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.11 sec) Clustered ROM : DEBUG -> Training segment 245 slice(5880, 5904, None)\n", + "( 16.11 sec) ARMA : DEBUG -> Training...\n", + "( 16.11 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.11 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.11 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.11 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.11 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.14 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.14 sec) Clustered ROM : DEBUG -> Training segment 246 slice(5904, 5928, None)\n", + "( 16.14 sec) ARMA : DEBUG -> Training...\n", + "( 16.14 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.14 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.14 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.14 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.14 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.15 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.15 sec) Clustered ROM : DEBUG -> Training segment 247 slice(5928, 5952, None)\n", + "( 16.15 sec) ARMA : DEBUG -> Training...\n", + "( 16.15 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.15 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.15 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.15 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.15 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.17 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.17 sec) Clustered ROM : DEBUG -> Training segment 248 slice(5952, 5976, None)\n", + "( 16.17 sec) ARMA : DEBUG -> Training...\n", + "( 16.17 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.17 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.17 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.17 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.17 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.18 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.18 sec) Clustered ROM : DEBUG -> Training segment 249 slice(5976, 6000, None)\n", + "( 16.18 sec) ARMA : DEBUG -> Training...\n", + "( 16.18 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.18 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.18 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.18 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.18 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.19 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.19 sec) Clustered ROM : DEBUG -> Training segment 250 slice(6000, 6024, None)\n", + "( 16.19 sec) ARMA : DEBUG -> Training...\n", + "( 16.19 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.19 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.19 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.19 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.19 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.20 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.20 sec) Clustered ROM : DEBUG -> Training segment 251 slice(6024, 6048, None)\n", + "( 16.20 sec) ARMA : DEBUG -> Training...\n", + "( 16.20 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.20 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.20 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.21 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.21 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.22 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.22 sec) Clustered ROM : DEBUG -> Training segment 252 slice(6048, 6072, None)\n", + "( 16.22 sec) ARMA : DEBUG -> Training...\n", + "( 16.22 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.22 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.22 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.22 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.22 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.23 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.23 sec) Clustered ROM : DEBUG -> Training segment 253 slice(6072, 6096, None)\n", + "( 16.23 sec) ARMA : DEBUG -> Training...\n", + "( 16.23 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.23 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.23 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.23 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.23 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.24 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.24 sec) Clustered ROM : DEBUG -> Training segment 254 slice(6096, 6120, None)\n", + "( 16.24 sec) ARMA : DEBUG -> Training...\n", + "( 16.24 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.24 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.24 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.25 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.25 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.26 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.26 sec) Clustered ROM : DEBUG -> Training segment 255 slice(6120, 6144, None)\n", + "( 16.26 sec) ARMA : DEBUG -> Training...\n", + "( 16.26 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.26 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.26 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.26 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.26 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.26 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.26 sec) Clustered ROM : DEBUG -> Training segment 256 slice(6144, 6168, None)\n", + "( 16.26 sec) ARMA : DEBUG -> Training...\n", + "( 16.26 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.26 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.26 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.26 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.26 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.30 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.30 sec) Clustered ROM : DEBUG -> Training segment 257 slice(6168, 6192, None)\n", + "( 16.30 sec) ARMA : DEBUG -> Training...\n", + "( 16.30 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.30 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.30 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.30 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.30 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.31 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.31 sec) Clustered ROM : DEBUG -> Training segment 258 slice(6192, 6216, None)\n", + "( 16.31 sec) ARMA : DEBUG -> Training...\n", + "( 16.31 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.31 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.31 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.31 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.31 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.32 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.32 sec) Clustered ROM : DEBUG -> Training segment 259 slice(6216, 6240, None)\n", + "( 16.32 sec) ARMA : DEBUG -> Training...\n", + "( 16.32 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.32 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.32 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.32 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.32 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.33 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.33 sec) Clustered ROM : DEBUG -> Training segment 260 slice(6240, 6264, None)\n", + "( 16.33 sec) ARMA : DEBUG -> Training...\n", + "( 16.33 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.33 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.33 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.33 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.33 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.35 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.35 sec) Clustered ROM : DEBUG -> Training segment 261 slice(6264, 6288, None)\n", + "( 16.35 sec) ARMA : DEBUG -> Training...\n", + "( 16.35 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.35 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.35 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.35 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.35 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.37 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.38 sec) Clustered ROM : DEBUG -> Training segment 262 slice(6288, 6312, None)\n", + "( 16.38 sec) ARMA : DEBUG -> Training...\n", + "( 16.38 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.38 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.38 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.38 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.38 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.39 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.39 sec) Clustered ROM : DEBUG -> Training segment 263 slice(6312, 6336, None)\n", + "( 16.39 sec) ARMA : DEBUG -> Training...\n", + "( 16.39 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.39 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.39 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.39 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.39 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.40 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.40 sec) Clustered ROM : DEBUG -> Training segment 264 slice(6336, 6360, None)\n", + "( 16.40 sec) ARMA : DEBUG -> Training...\n", + "( 16.40 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.40 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.40 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.41 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.41 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.41 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.41 sec) Clustered ROM : DEBUG -> Training segment 265 slice(6360, 6384, None)\n", + "( 16.41 sec) ARMA : DEBUG -> Training...\n", + "( 16.41 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.41 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.41 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.41 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.41 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.42 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.42 sec) Clustered ROM : DEBUG -> Training segment 266 slice(6384, 6408, None)\n", + "( 16.42 sec) ARMA : DEBUG -> Training...\n", + "( 16.42 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.42 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.42 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.42 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.42 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.43 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.43 sec) Clustered ROM : DEBUG -> Training segment 267 slice(6408, 6432, None)\n", + "( 16.43 sec) ARMA : DEBUG -> Training...\n", + "( 16.43 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.43 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.43 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.43 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.43 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.45 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.45 sec) Clustered ROM : DEBUG -> Training segment 268 slice(6432, 6456, None)\n", + "( 16.45 sec) ARMA : DEBUG -> Training...\n", + "( 16.45 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.45 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.45 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.45 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.45 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.45 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.45 sec) Clustered ROM : DEBUG -> Training segment 269 slice(6456, 6480, None)\n", + "( 16.45 sec) ARMA : DEBUG -> Training...\n", + "( 16.45 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.45 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.45 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.46 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.46 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.49 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.49 sec) Clustered ROM : DEBUG -> Training segment 270 slice(6480, 6504, None)\n", + "( 16.49 sec) ARMA : DEBUG -> Training...\n", + "( 16.49 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.49 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.49 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.49 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.49 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.50 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.50 sec) Clustered ROM : DEBUG -> Training segment 271 slice(6504, 6528, None)\n", + "( 16.50 sec) ARMA : DEBUG -> Training...\n", + "( 16.50 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.50 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.50 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.50 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.50 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.51 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.51 sec) Clustered ROM : DEBUG -> Training segment 272 slice(6528, 6552, None)\n", + "( 16.51 sec) ARMA : DEBUG -> Training...\n", + "( 16.51 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.51 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.51 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.51 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.51 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.53 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.53 sec) Clustered ROM : DEBUG -> Training segment 273 slice(6552, 6576, None)\n", + "( 16.53 sec) ARMA : DEBUG -> Training...\n", + "( 16.53 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.53 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.53 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.53 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.53 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.54 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.54 sec) Clustered ROM : DEBUG -> Training segment 274 slice(6576, 6600, None)\n", + "( 16.54 sec) ARMA : DEBUG -> Training...\n", + "( 16.54 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.54 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.54 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.54 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.54 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.54 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.54 sec) Clustered ROM : DEBUG -> Training segment 275 slice(6600, 6624, None)\n", + "( 16.54 sec) ARMA : DEBUG -> Training...\n", + "( 16.54 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.54 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.54 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.54 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.54 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.58 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.58 sec) Clustered ROM : DEBUG -> Training segment 276 slice(6624, 6648, None)\n", + "( 16.58 sec) ARMA : DEBUG -> Training...\n", + "( 16.58 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.58 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.58 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.58 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.58 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.58 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.58 sec) Clustered ROM : DEBUG -> Training segment 277 slice(6648, 6672, None)\n", + "( 16.58 sec) ARMA : DEBUG -> Training...\n", + "( 16.58 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.58 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.58 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.58 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.58 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.60 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.60 sec) Clustered ROM : DEBUG -> Training segment 278 slice(6672, 6696, None)\n", + "( 16.60 sec) ARMA : DEBUG -> Training...\n", + "( 16.60 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.60 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.60 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.60 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.60 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.61 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.61 sec) Clustered ROM : DEBUG -> Training segment 279 slice(6696, 6720, None)\n", + "( 16.61 sec) ARMA : DEBUG -> Training...\n", + "( 16.61 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.61 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.61 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.61 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.61 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.65 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.65 sec) Clustered ROM : DEBUG -> Training segment 280 slice(6720, 6744, None)\n", + "( 16.65 sec) ARMA : DEBUG -> Training...\n", + "( 16.65 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.65 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.65 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.65 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.65 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.66 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.66 sec) Clustered ROM : DEBUG -> Training segment 281 slice(6744, 6768, None)\n", + "( 16.66 sec) ARMA : DEBUG -> Training...\n", + "( 16.66 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.66 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.66 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.66 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.66 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.67 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.67 sec) Clustered ROM : DEBUG -> Training segment 282 slice(6768, 6792, None)\n", + "( 16.67 sec) ARMA : DEBUG -> Training...\n", + "( 16.67 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.67 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.67 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.67 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.67 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.68 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.68 sec) Clustered ROM : DEBUG -> Training segment 283 slice(6792, 6816, None)\n", + "( 16.68 sec) ARMA : DEBUG -> Training...\n", + "( 16.68 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.68 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.68 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.69 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.69 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.70 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.70 sec) Clustered ROM : DEBUG -> Training segment 284 slice(6816, 6840, None)\n", + "( 16.70 sec) ARMA : DEBUG -> Training...\n", + "( 16.70 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.70 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.70 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.70 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.70 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.73 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.73 sec) Clustered ROM : DEBUG -> Training segment 285 slice(6840, 6864, None)\n", + "( 16.73 sec) ARMA : DEBUG -> Training...\n", + "( 16.73 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.73 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.73 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.73 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.73 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.75 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.75 sec) Clustered ROM : DEBUG -> Training segment 286 slice(6864, 6888, None)\n", + "( 16.75 sec) ARMA : DEBUG -> Training...\n", + "( 16.75 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.75 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.75 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.75 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.75 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.76 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.76 sec) Clustered ROM : DEBUG -> Training segment 287 slice(6888, 6912, None)\n", + "( 16.76 sec) ARMA : DEBUG -> Training...\n", + "( 16.76 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.76 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.76 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.76 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.76 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.78 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.78 sec) Clustered ROM : DEBUG -> Training segment 288 slice(6912, 6936, None)\n", + "( 16.78 sec) ARMA : DEBUG -> Training...\n", + "( 16.78 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.78 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.78 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.78 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.78 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.79 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.79 sec) Clustered ROM : DEBUG -> Training segment 289 slice(6936, 6960, None)\n", + "( 16.79 sec) ARMA : DEBUG -> Training...\n", + "( 16.79 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.79 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.79 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.79 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.79 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.81 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.81 sec) Clustered ROM : DEBUG -> Training segment 290 slice(6960, 6984, None)\n", + "( 16.81 sec) ARMA : DEBUG -> Training...\n", + "( 16.81 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.81 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.81 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.81 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.81 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.82 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.82 sec) Clustered ROM : DEBUG -> Training segment 291 slice(6984, 7008, None)\n", + "( 16.82 sec) ARMA : DEBUG -> Training...\n", + "( 16.82 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.82 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.82 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.82 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.82 sec) Clustered ROM : DEBUG -> Training segment 292 slice(7008, 7032, None)\n", + "( 16.82 sec) ARMA : DEBUG -> Training...\n", + "( 16.82 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.82 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.82 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.84 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.84 sec) Clustered ROM : DEBUG -> Training segment 293 slice(7032, 7056, None)\n", + "( 16.84 sec) ARMA : DEBUG -> Training...\n", + "( 16.84 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.84 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.84 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.84 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.84 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.85 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.85 sec) Clustered ROM : DEBUG -> Training segment 294 slice(7056, 7080, None)\n", + "( 16.85 sec) ARMA : DEBUG -> Training...\n", + "( 16.85 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.85 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.86 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.86 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.86 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.87 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.87 sec) Clustered ROM : DEBUG -> Training segment 295 slice(7080, 7104, None)\n", + "( 16.87 sec) ARMA : DEBUG -> Training...\n", + "( 16.87 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.87 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.87 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.87 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.87 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.88 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.88 sec) Clustered ROM : DEBUG -> Training segment 296 slice(7104, 7128, None)\n", + "( 16.89 sec) ARMA : DEBUG -> Training...\n", + "( 16.89 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.89 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.89 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.89 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.89 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.90 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.90 sec) Clustered ROM : DEBUG -> Training segment 297 slice(7128, 7152, None)\n", + "( 16.90 sec) ARMA : DEBUG -> Training...\n", + "( 16.90 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.90 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.90 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.90 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.90 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.94 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.94 sec) Clustered ROM : DEBUG -> Training segment 298 slice(7152, 7176, None)\n", + "( 16.94 sec) ARMA : DEBUG -> Training...\n", + "( 16.94 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.94 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.94 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.94 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.94 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.96 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.96 sec) Clustered ROM : DEBUG -> Training segment 299 slice(7176, 7200, None)\n", + "( 16.96 sec) ARMA : DEBUG -> Training...\n", + "( 16.96 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.96 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.96 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.96 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.96 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.98 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.98 sec) Clustered ROM : DEBUG -> Training segment 300 slice(7200, 7224, None)\n", + "( 16.98 sec) ARMA : DEBUG -> Training...\n", + "( 16.98 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.98 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.98 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.98 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.98 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 16.99 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 16.99 sec) Clustered ROM : DEBUG -> Training segment 301 slice(7224, 7248, None)\n", + "( 16.99 sec) ARMA : DEBUG -> Training...\n", + "( 16.99 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 16.99 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 16.99 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 16.99 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 16.99 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.00 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.00 sec) Clustered ROM : DEBUG -> Training segment 302 slice(7248, 7272, None)\n", + "( 17.00 sec) ARMA : DEBUG -> Training...\n", + "( 17.00 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.00 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.00 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.00 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.00 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.00 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.00 sec) Clustered ROM : DEBUG -> Training segment 303 slice(7272, 7296, None)\n", + "( 17.00 sec) ARMA : DEBUG -> Training...\n", + "( 17.00 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.00 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.00 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.01 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.01 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.01 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.01 sec) Clustered ROM : DEBUG -> Training segment 304 slice(7296, 7320, None)\n", + "( 17.01 sec) ARMA : DEBUG -> Training...\n", + "( 17.01 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.01 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.01 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.02 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.02 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.03 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.03 sec) Clustered ROM : DEBUG -> Training segment 305 slice(7320, 7344, None)\n", + "( 17.03 sec) ARMA : DEBUG -> Training...\n", + "( 17.03 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.03 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.03 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.03 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.03 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.04 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.04 sec) Clustered ROM : DEBUG -> Training segment 306 slice(7344, 7368, None)\n", + "( 17.04 sec) ARMA : DEBUG -> Training...\n", + "( 17.04 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.04 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.04 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.04 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.04 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.05 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.05 sec) Clustered ROM : DEBUG -> Training segment 307 slice(7368, 7392, None)\n", + "( 17.05 sec) ARMA : DEBUG -> Training...\n", + "( 17.05 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.05 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.05 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.05 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.05 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.07 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.07 sec) Clustered ROM : DEBUG -> Training segment 308 slice(7392, 7416, None)\n", + "( 17.07 sec) ARMA : DEBUG -> Training...\n", + "( 17.07 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.07 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.07 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.07 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.07 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.08 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.08 sec) Clustered ROM : DEBUG -> Training segment 309 slice(7416, 7440, None)\n", + "( 17.08 sec) ARMA : DEBUG -> Training...\n", + "( 17.08 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.08 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.08 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.08 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.08 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.08 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.08 sec) Clustered ROM : DEBUG -> Training segment 310 slice(7440, 7464, None)\n", + "( 17.08 sec) ARMA : DEBUG -> Training...\n", + "( 17.08 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.08 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.08 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.08 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.08 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.12 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.12 sec) Clustered ROM : DEBUG -> Training segment 311 slice(7464, 7488, None)\n", + "( 17.12 sec) ARMA : DEBUG -> Training...\n", + "( 17.12 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.12 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.12 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.12 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.12 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.15 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.15 sec) Clustered ROM : DEBUG -> Training segment 312 slice(7488, 7512, None)\n", + "( 17.15 sec) ARMA : DEBUG -> Training...\n", + "( 17.15 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.15 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.15 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.15 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.15 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.16 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.16 sec) Clustered ROM : DEBUG -> Training segment 313 slice(7512, 7536, None)\n", + "( 17.16 sec) ARMA : DEBUG -> Training...\n", + "( 17.16 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.16 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.16 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.16 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.16 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.17 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.17 sec) Clustered ROM : DEBUG -> Training segment 314 slice(7536, 7560, None)\n", + "( 17.17 sec) ARMA : DEBUG -> Training...\n", + "( 17.17 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.17 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.17 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.17 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.17 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.21 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.21 sec) Clustered ROM : DEBUG -> Training segment 315 slice(7560, 7584, None)\n", + "( 17.21 sec) ARMA : DEBUG -> Training...\n", + "( 17.21 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.21 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.21 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.21 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.21 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.21 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.21 sec) Clustered ROM : DEBUG -> Training segment 316 slice(7584, 7608, None)\n", + "( 17.21 sec) ARMA : DEBUG -> Training...\n", + "( 17.21 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.21 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.21 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.21 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.21 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.23 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.23 sec) Clustered ROM : DEBUG -> Training segment 317 slice(7608, 7632, None)\n", + "( 17.23 sec) ARMA : DEBUG -> Training...\n", + "( 17.23 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.23 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.23 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.23 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.23 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.24 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.24 sec) Clustered ROM : DEBUG -> Training segment 318 slice(7632, 7656, None)\n", + "( 17.24 sec) ARMA : DEBUG -> Training...\n", + "( 17.24 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.24 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.25 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.25 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.25 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.26 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.26 sec) Clustered ROM : DEBUG -> Training segment 319 slice(7656, 7680, None)\n", + "( 17.26 sec) ARMA : DEBUG -> Training...\n", + "( 17.26 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.26 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.26 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.26 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.26 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.26 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.26 sec) Clustered ROM : DEBUG -> Training segment 320 slice(7680, 7704, None)\n", + "( 17.26 sec) ARMA : DEBUG -> Training...\n", + "( 17.26 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.26 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.26 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.26 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.26 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.29 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.30 sec) Clustered ROM : DEBUG -> Training segment 321 slice(7704, 7728, None)\n", + "( 17.30 sec) ARMA : DEBUG -> Training...\n", + "( 17.30 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.30 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.30 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.30 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.30 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.30 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.31 sec) Clustered ROM : DEBUG -> Training segment 322 slice(7728, 7752, None)\n", + "( 17.31 sec) ARMA : DEBUG -> Training...\n", + "( 17.31 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.31 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.31 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.31 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.31 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.33 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.33 sec) Clustered ROM : DEBUG -> Training segment 323 slice(7752, 7776, None)\n", + "( 17.33 sec) ARMA : DEBUG -> Training...\n", + "( 17.33 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.33 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.33 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.33 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.34 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.35 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.35 sec) Clustered ROM : DEBUG -> Training segment 324 slice(7776, 7800, None)\n", + "( 17.35 sec) ARMA : DEBUG -> Training...\n", + "( 17.35 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.35 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.35 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.35 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.35 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.36 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.36 sec) Clustered ROM : DEBUG -> Training segment 325 slice(7800, 7824, None)\n", + "( 17.36 sec) ARMA : DEBUG -> Training...\n", + "( 17.36 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.36 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.36 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.36 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.36 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.37 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.37 sec) Clustered ROM : DEBUG -> Training segment 326 slice(7824, 7848, None)\n", + "( 17.37 sec) ARMA : DEBUG -> Training...\n", + "( 17.37 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.37 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.37 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.37 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.37 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.38 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.38 sec) Clustered ROM : DEBUG -> Training segment 327 slice(7848, 7872, None)\n", + "( 17.38 sec) ARMA : DEBUG -> Training...\n", + "( 17.38 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.38 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.38 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.38 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.38 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.39 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.39 sec) Clustered ROM : DEBUG -> Training segment 328 slice(7872, 7896, None)\n", + "( 17.39 sec) ARMA : DEBUG -> Training...\n", + "( 17.39 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.39 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.39 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.39 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.39 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.40 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.40 sec) Clustered ROM : DEBUG -> Training segment 329 slice(7896, 7920, None)\n", + "( 17.40 sec) ARMA : DEBUG -> Training...\n", + "( 17.40 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.40 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.40 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.40 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.40 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.41 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.41 sec) Clustered ROM : DEBUG -> Training segment 330 slice(7920, 7944, None)\n", + "( 17.41 sec) ARMA : DEBUG -> Training...\n", + "( 17.41 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.41 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.41 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.41 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.41 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.42 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.42 sec) Clustered ROM : DEBUG -> Training segment 331 slice(7944, 7968, None)\n", + "( 17.42 sec) ARMA : DEBUG -> Training...\n", + "( 17.42 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.42 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.42 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.42 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.42 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.43 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.43 sec) Clustered ROM : DEBUG -> Training segment 332 slice(7968, 7992, None)\n", + "( 17.43 sec) ARMA : DEBUG -> Training...\n", + "( 17.43 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.43 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.43 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.43 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.43 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.44 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.44 sec) Clustered ROM : DEBUG -> Training segment 333 slice(7992, 8016, None)\n", + "( 17.44 sec) ARMA : DEBUG -> Training...\n", + "( 17.44 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.44 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.44 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.44 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.44 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.45 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.45 sec) Clustered ROM : DEBUG -> Training segment 334 slice(8016, 8040, None)\n", + "( 17.45 sec) ARMA : DEBUG -> Training...\n", + "( 17.45 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.45 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.45 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.45 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.45 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.46 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.46 sec) Clustered ROM : DEBUG -> Training segment 335 slice(8040, 8064, None)\n", + "( 17.46 sec) ARMA : DEBUG -> Training...\n", + "( 17.46 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.46 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.47 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.47 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.47 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.50 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.50 sec) Clustered ROM : DEBUG -> Training segment 336 slice(8064, 8088, None)\n", + "( 17.50 sec) ARMA : DEBUG -> Training...\n", + "( 17.50 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.50 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.50 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.50 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.50 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.51 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.51 sec) Clustered ROM : DEBUG -> Training segment 337 slice(8088, 8112, None)\n", + "( 17.51 sec) ARMA : DEBUG -> Training...\n", + "( 17.51 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.52 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.52 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.52 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.52 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.53 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.53 sec) Clustered ROM : DEBUG -> Training segment 338 slice(8112, 8136, None)\n", + "( 17.53 sec) ARMA : DEBUG -> Training...\n", + "( 17.53 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.53 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.53 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.53 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.53 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.53 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.53 sec) Clustered ROM : DEBUG -> Training segment 339 slice(8136, 8160, None)\n", + "( 17.53 sec) ARMA : DEBUG -> Training...\n", + "( 17.53 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.53 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.53 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.53 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.53 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.54 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.54 sec) Clustered ROM : DEBUG -> Training segment 340 slice(8160, 8184, None)\n", + "( 17.54 sec) ARMA : DEBUG -> Training...\n", + "( 17.54 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.54 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.54 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.54 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.54 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.56 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.56 sec) Clustered ROM : DEBUG -> Training segment 341 slice(8184, 8208, None)\n", + "( 17.56 sec) ARMA : DEBUG -> Training...\n", + "( 17.56 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.56 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.56 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.56 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.56 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.57 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.57 sec) Clustered ROM : DEBUG -> Training segment 342 slice(8208, 8232, None)\n", + "( 17.57 sec) ARMA : DEBUG -> Training...\n", + "( 17.57 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.57 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.57 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.57 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.57 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.58 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.58 sec) Clustered ROM : DEBUG -> Training segment 343 slice(8232, 8256, None)\n", + "( 17.58 sec) ARMA : DEBUG -> Training...\n", + "( 17.58 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.58 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.58 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.58 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.58 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.59 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.59 sec) Clustered ROM : DEBUG -> Training segment 344 slice(8256, 8280, None)\n", + "( 17.59 sec) ARMA : DEBUG -> Training...\n", + "( 17.59 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.59 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.59 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.59 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.59 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.60 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.60 sec) Clustered ROM : DEBUG -> Training segment 345 slice(8280, 8304, None)\n", + "( 17.60 sec) ARMA : DEBUG -> Training...\n", + "( 17.60 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.60 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.60 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.60 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.60 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.62 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.62 sec) Clustered ROM : DEBUG -> Training segment 346 slice(8304, 8328, None)\n", + "( 17.62 sec) ARMA : DEBUG -> Training...\n", + "( 17.62 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.62 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.62 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.62 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.62 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.63 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.63 sec) Clustered ROM : DEBUG -> Training segment 347 slice(8328, 8352, None)\n", + "( 17.63 sec) ARMA : DEBUG -> Training...\n", + "( 17.63 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.63 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.63 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.63 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.63 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.66 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.66 sec) Clustered ROM : DEBUG -> Training segment 348 slice(8352, 8376, None)\n", + "( 17.66 sec) ARMA : DEBUG -> Training...\n", + "( 17.66 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.66 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.66 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.66 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.66 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.67 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.67 sec) Clustered ROM : DEBUG -> Training segment 349 slice(8376, 8400, None)\n", + "( 17.67 sec) ARMA : DEBUG -> Training...\n", + "( 17.67 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.67 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.67 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.67 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.67 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.67 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.67 sec) Clustered ROM : DEBUG -> Training segment 350 slice(8400, 8424, None)\n", + "( 17.67 sec) ARMA : DEBUG -> Training...\n", + "( 17.67 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.67 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.67 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.68 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.68 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.69 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.69 sec) Clustered ROM : DEBUG -> Training segment 351 slice(8424, 8448, None)\n", + "( 17.69 sec) ARMA : DEBUG -> Training...\n", + "( 17.69 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.69 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.69 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.69 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.69 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.70 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.70 sec) Clustered ROM : DEBUG -> Training segment 352 slice(8448, 8472, None)\n", + "( 17.70 sec) ARMA : DEBUG -> Training...\n", + "( 17.70 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.70 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.70 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.70 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.71 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.71 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.71 sec) Clustered ROM : DEBUG -> Training segment 353 slice(8472, 8496, None)\n", + "( 17.71 sec) ARMA : DEBUG -> Training...\n", + "( 17.71 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.71 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.71 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.71 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.72 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.72 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.72 sec) Clustered ROM : DEBUG -> Training segment 354 slice(8496, 8520, None)\n", + "( 17.72 sec) ARMA : DEBUG -> Training...\n", + "( 17.72 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.72 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.72 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.72 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.72 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.73 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.73 sec) Clustered ROM : DEBUG -> Training segment 355 slice(8520, 8544, None)\n", + "( 17.73 sec) ARMA : DEBUG -> Training...\n", + "( 17.73 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.73 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.73 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.73 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.73 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.74 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.74 sec) Clustered ROM : DEBUG -> Training segment 356 slice(8544, 8568, None)\n", + "( 17.74 sec) ARMA : DEBUG -> Training...\n", + "( 17.74 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.74 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.74 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.74 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.74 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.75 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.75 sec) Clustered ROM : DEBUG -> Training segment 357 slice(8568, 8592, None)\n", + "( 17.75 sec) ARMA : DEBUG -> Training...\n", + "( 17.75 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.75 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.75 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.75 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.75 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.76 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.76 sec) Clustered ROM : DEBUG -> Training segment 358 slice(8592, 8616, None)\n", + "( 17.76 sec) ARMA : DEBUG -> Training...\n", + "( 17.76 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.76 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.76 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.76 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.76 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.77 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.77 sec) Clustered ROM : DEBUG -> Training segment 359 slice(8616, 8640, None)\n", + "( 17.77 sec) ARMA : DEBUG -> Training...\n", + "( 17.77 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.77 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.77 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.77 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.77 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.78 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.78 sec) Clustered ROM : DEBUG -> Training segment 360 slice(8640, 8664, None)\n", + "( 17.78 sec) ARMA : DEBUG -> Training...\n", + "( 17.78 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.78 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.78 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.79 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.79 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.80 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.80 sec) Clustered ROM : DEBUG -> Training segment 361 slice(8664, 8688, None)\n", + "( 17.80 sec) ARMA : DEBUG -> Training...\n", + "( 17.80 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.80 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.80 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.80 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.80 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.81 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.81 sec) Clustered ROM : DEBUG -> Training segment 362 slice(8688, 8712, None)\n", + "( 17.81 sec) ARMA : DEBUG -> Training...\n", + "( 17.81 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.81 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.81 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.81 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.81 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.81 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.82 sec) Clustered ROM : DEBUG -> Training segment 363 slice(8712, 8736, None)\n", + "( 17.82 sec) ARMA : DEBUG -> Training...\n", + "( 17.82 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.82 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.82 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.83 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.83 sec) Clustered ROM : DEBUG -> Training segment 364 slice(8736, 8760, None)\n", + "( 17.83 sec) ARMA : DEBUG -> Training...\n", + "( 17.83 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.83 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.83 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.83 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.83 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.84 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.88 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 17.88 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 17.93 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 17.94 sec) Interp. Cluster ROM : DEBUG -> Training Statepoint Year 3 ...\n", + "( 17.94 sec) Clustered ROM : DEBUG -> Training segmented subspaces for \"arma\" ...\n", + "( 17.94 sec) Clustered ROM : DEBUG -> Dividing hour into 365 divisions for training ...\n", + "DEBUGG no ZF here!\n", + "( 17.94 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.94 sec) Clustered ROM : DEBUG -> Training segment 0 slice(0, 24, None)\n", + "( 17.94 sec) ARMA : DEBUG -> Training...\n", + "( 17.94 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.94 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.94 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.94 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.94 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 17.99 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 17.99 sec) Clustered ROM : DEBUG -> Training segment 1 slice(24, 48, None)\n", + "( 17.99 sec) ARMA : DEBUG -> Training...\n", + "( 17.99 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 17.99 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 17.99 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 17.99 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 17.99 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.01 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.01 sec) Clustered ROM : DEBUG -> Training segment 2 slice(48, 72, None)\n", + "( 18.01 sec) ARMA : DEBUG -> Training...\n", + "( 18.01 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.01 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.01 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.01 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.01 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.02 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.02 sec) Clustered ROM : DEBUG -> Training segment 3 slice(72, 96, None)\n", + "( 18.02 sec) ARMA : DEBUG -> Training...\n", + "( 18.02 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.02 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.02 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.02 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.02 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.04 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.04 sec) Clustered ROM : DEBUG -> Training segment 4 slice(96, 120, None)\n", + "( 18.04 sec) ARMA : DEBUG -> Training...\n", + "( 18.04 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.04 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.04 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.04 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.04 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.05 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.05 sec) Clustered ROM : DEBUG -> Training segment 5 slice(120, 144, None)\n", + "( 18.05 sec) ARMA : DEBUG -> Training...\n", + "( 18.05 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.05 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.05 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.05 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.05 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.05 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.05 sec) Clustered ROM : DEBUG -> Training segment 6 slice(144, 168, None)\n", + "( 18.05 sec) ARMA : DEBUG -> Training...\n", + "( 18.05 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.05 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.05 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.05 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.05 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.07 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.07 sec) Clustered ROM : DEBUG -> Training segment 7 slice(168, 192, None)\n", + "( 18.07 sec) ARMA : DEBUG -> Training...\n", + "( 18.07 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.07 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.07 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.07 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.07 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.08 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.08 sec) Clustered ROM : DEBUG -> Training segment 8 slice(192, 216, None)\n", + "( 18.08 sec) ARMA : DEBUG -> Training...\n", + "( 18.08 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.08 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.08 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.08 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.08 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.09 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.09 sec) Clustered ROM : DEBUG -> Training segment 9 slice(216, 240, None)\n", + "( 18.09 sec) ARMA : DEBUG -> Training...\n", + "( 18.09 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.09 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.09 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.09 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.09 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.09 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.09 sec) Clustered ROM : DEBUG -> Training segment 10 slice(240, 264, None)\n", + "( 18.09 sec) ARMA : DEBUG -> Training...\n", + "( 18.09 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.09 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.09 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.09 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.09 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.10 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.10 sec) Clustered ROM : DEBUG -> Training segment 11 slice(264, 288, None)\n", + "( 18.10 sec) ARMA : DEBUG -> Training...\n", + "( 18.10 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.10 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.10 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.10 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.11 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.12 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.12 sec) Clustered ROM : DEBUG -> Training segment 12 slice(288, 312, None)\n", + "( 18.12 sec) ARMA : DEBUG -> Training...\n", + "( 18.12 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.12 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.12 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.12 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.12 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.13 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.13 sec) Clustered ROM : DEBUG -> Training segment 13 slice(312, 336, None)\n", + "( 18.13 sec) ARMA : DEBUG -> Training...\n", + "( 18.13 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.13 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.13 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.13 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.13 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.14 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.14 sec) Clustered ROM : DEBUG -> Training segment 14 slice(336, 360, None)\n", + "( 18.14 sec) ARMA : DEBUG -> Training...\n", + "( 18.14 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.14 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.14 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.14 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.14 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.14 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.14 sec) Clustered ROM : DEBUG -> Training segment 15 slice(360, 384, None)\n", + "( 18.14 sec) ARMA : DEBUG -> Training...\n", + "( 18.14 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.14 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.14 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.14 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.14 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.15 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.15 sec) Clustered ROM : DEBUG -> Training segment 16 slice(384, 408, None)\n", + "( 18.15 sec) ARMA : DEBUG -> Training...\n", + "( 18.15 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.15 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.15 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.15 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.15 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.17 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.17 sec) Clustered ROM : DEBUG -> Training segment 17 slice(408, 432, None)\n", + "( 18.17 sec) ARMA : DEBUG -> Training...\n", + "( 18.17 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.17 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.17 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.17 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.17 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.19 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.19 sec) Clustered ROM : DEBUG -> Training segment 18 slice(432, 456, None)\n", + "( 18.19 sec) ARMA : DEBUG -> Training...\n", + "( 18.19 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.19 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.19 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.19 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.19 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.20 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.21 sec) Clustered ROM : DEBUG -> Training segment 19 slice(456, 480, None)\n", + "( 18.21 sec) ARMA : DEBUG -> Training...\n", + "( 18.21 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.21 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.21 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.21 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.21 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.22 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.22 sec) Clustered ROM : DEBUG -> Training segment 20 slice(480, 504, None)\n", + "( 18.22 sec) ARMA : DEBUG -> Training...\n", + "( 18.22 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.22 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.22 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.22 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.22 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.23 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.23 sec) Clustered ROM : DEBUG -> Training segment 21 slice(504, 528, None)\n", + "( 18.23 sec) ARMA : DEBUG -> Training...\n", + "( 18.23 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.23 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.23 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.23 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.23 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.24 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.24 sec) Clustered ROM : DEBUG -> Training segment 22 slice(528, 552, None)\n", + "( 18.24 sec) ARMA : DEBUG -> Training...\n", + "( 18.24 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.24 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.24 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.24 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.24 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.25 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.25 sec) Clustered ROM : DEBUG -> Training segment 23 slice(552, 576, None)\n", + "( 18.25 sec) ARMA : DEBUG -> Training...\n", + "( 18.25 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.25 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.25 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.25 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.25 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.26 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.26 sec) Clustered ROM : DEBUG -> Training segment 24 slice(576, 600, None)\n", + "( 18.26 sec) ARMA : DEBUG -> Training...\n", + "( 18.26 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.26 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.26 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.26 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.26 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.27 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.27 sec) Clustered ROM : DEBUG -> Training segment 25 slice(600, 624, None)\n", + "( 18.27 sec) ARMA : DEBUG -> Training...\n", + "( 18.27 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.27 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.27 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.27 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.27 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.28 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.28 sec) Clustered ROM : DEBUG -> Training segment 26 slice(624, 648, None)\n", + "( 18.28 sec) ARMA : DEBUG -> Training...\n", + "( 18.28 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.28 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.28 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.28 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.28 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.29 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.29 sec) Clustered ROM : DEBUG -> Training segment 27 slice(648, 672, None)\n", + "( 18.29 sec) ARMA : DEBUG -> Training...\n", + "( 18.29 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.29 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.29 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.29 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.29 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.30 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.30 sec) Clustered ROM : DEBUG -> Training segment 28 slice(672, 696, None)\n", + "( 18.30 sec) ARMA : DEBUG -> Training...\n", + "( 18.30 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.30 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.30 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.30 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.30 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.34 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.34 sec) Clustered ROM : DEBUG -> Training segment 29 slice(696, 720, None)\n", + "( 18.34 sec) ARMA : DEBUG -> Training...\n", + "( 18.34 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.34 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.34 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.34 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.34 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.37 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.37 sec) Clustered ROM : DEBUG -> Training segment 30 slice(720, 744, None)\n", + "( 18.37 sec) ARMA : DEBUG -> Training...\n", + "( 18.37 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.37 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.38 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.38 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.38 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.41 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.41 sec) Clustered ROM : DEBUG -> Training segment 31 slice(744, 768, None)\n", + "( 18.41 sec) ARMA : DEBUG -> Training...\n", + "( 18.41 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.41 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.41 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.41 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.41 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.42 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.42 sec) Clustered ROM : DEBUG -> Training segment 32 slice(768, 792, None)\n", + "( 18.42 sec) ARMA : DEBUG -> Training...\n", + "( 18.42 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.42 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.42 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.42 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.42 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.45 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.45 sec) Clustered ROM : DEBUG -> Training segment 33 slice(792, 816, None)\n", + "( 18.45 sec) ARMA : DEBUG -> Training...\n", + "( 18.45 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.45 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.45 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.45 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.45 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.46 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.46 sec) Clustered ROM : DEBUG -> Training segment 34 slice(816, 840, None)\n", + "( 18.46 sec) ARMA : DEBUG -> Training...\n", + "( 18.46 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.46 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.46 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.46 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.46 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.47 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.47 sec) Clustered ROM : DEBUG -> Training segment 35 slice(840, 864, None)\n", + "( 18.47 sec) ARMA : DEBUG -> Training...\n", + "( 18.47 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.47 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.47 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.47 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.47 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.49 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.49 sec) Clustered ROM : DEBUG -> Training segment 36 slice(864, 888, None)\n", + "( 18.49 sec) ARMA : DEBUG -> Training...\n", + "( 18.49 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.49 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.49 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.49 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.49 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.50 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.50 sec) Clustered ROM : DEBUG -> Training segment 37 slice(888, 912, None)\n", + "( 18.50 sec) ARMA : DEBUG -> Training...\n", + "( 18.50 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.50 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.50 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.50 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.50 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.51 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.51 sec) Clustered ROM : DEBUG -> Training segment 38 slice(912, 936, None)\n", + "( 18.51 sec) ARMA : DEBUG -> Training...\n", + "( 18.51 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.51 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.51 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.51 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.51 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.54 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.54 sec) Clustered ROM : DEBUG -> Training segment 39 slice(936, 960, None)\n", + "( 18.54 sec) ARMA : DEBUG -> Training...\n", + "( 18.54 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.54 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.54 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.54 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.54 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.58 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.58 sec) Clustered ROM : DEBUG -> Training segment 40 slice(960, 984, None)\n", + "( 18.58 sec) ARMA : DEBUG -> Training...\n", + "( 18.58 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.58 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.58 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.58 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.58 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.60 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.60 sec) Clustered ROM : DEBUG -> Training segment 41 slice(984, 1008, None)\n", + "( 18.60 sec) ARMA : DEBUG -> Training...\n", + "( 18.60 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.60 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.60 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.60 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.60 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.61 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.61 sec) Clustered ROM : DEBUG -> Training segment 42 slice(1008, 1032, None)\n", + "( 18.61 sec) ARMA : DEBUG -> Training...\n", + "( 18.61 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.61 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.61 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.61 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.61 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.63 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.63 sec) Clustered ROM : DEBUG -> Training segment 43 slice(1032, 1056, None)\n", + "( 18.63 sec) ARMA : DEBUG -> Training...\n", + "( 18.63 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.63 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.63 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.63 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.63 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.65 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.65 sec) Clustered ROM : DEBUG -> Training segment 44 slice(1056, 1080, None)\n", + "( 18.65 sec) ARMA : DEBUG -> Training...\n", + "( 18.65 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.65 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.65 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.65 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.66 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.66 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.67 sec) Clustered ROM : DEBUG -> Training segment 45 slice(1080, 1104, None)\n", + "( 18.67 sec) ARMA : DEBUG -> Training...\n", + "( 18.67 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.67 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.67 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.67 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.67 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.68 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.68 sec) Clustered ROM : DEBUG -> Training segment 46 slice(1104, 1128, None)\n", + "( 18.68 sec) ARMA : DEBUG -> Training...\n", + "( 18.68 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.68 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.68 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.68 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.68 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.69 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.69 sec) Clustered ROM : DEBUG -> Training segment 47 slice(1128, 1152, None)\n", + "( 18.69 sec) ARMA : DEBUG -> Training...\n", + "( 18.69 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.69 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.69 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.69 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.69 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.70 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.70 sec) Clustered ROM : DEBUG -> Training segment 48 slice(1152, 1176, None)\n", + "( 18.70 sec) ARMA : DEBUG -> Training...\n", + "( 18.70 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.70 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.70 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.70 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.70 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.71 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.72 sec) Clustered ROM : DEBUG -> Training segment 49 slice(1176, 1200, None)\n", + "( 18.72 sec) ARMA : DEBUG -> Training...\n", + "( 18.72 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.72 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.72 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.72 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.72 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.73 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.73 sec) Clustered ROM : DEBUG -> Training segment 50 slice(1200, 1224, None)\n", + "( 18.73 sec) ARMA : DEBUG -> Training...\n", + "( 18.73 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.73 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.73 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.73 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.73 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.73 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.73 sec) Clustered ROM : DEBUG -> Training segment 51 slice(1224, 1248, None)\n", + "( 18.73 sec) ARMA : DEBUG -> Training...\n", + "( 18.73 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.73 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.73 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.73 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.73 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.75 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.75 sec) Clustered ROM : DEBUG -> Training segment 52 slice(1248, 1272, None)\n", + "( 18.75 sec) ARMA : DEBUG -> Training...\n", + "( 18.75 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.75 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.75 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.75 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.75 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.77 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.77 sec) Clustered ROM : DEBUG -> Training segment 53 slice(1272, 1296, None)\n", + "( 18.77 sec) ARMA : DEBUG -> Training...\n", + "( 18.77 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.77 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.77 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.77 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.77 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.78 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.78 sec) Clustered ROM : DEBUG -> Training segment 54 slice(1296, 1320, None)\n", + "( 18.78 sec) ARMA : DEBUG -> Training...\n", + "( 18.78 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.78 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.78 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.78 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.78 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.80 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.80 sec) Clustered ROM : DEBUG -> Training segment 55 slice(1320, 1344, None)\n", + "( 18.80 sec) ARMA : DEBUG -> Training...\n", + "( 18.80 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.80 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.80 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.80 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.80 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.81 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.81 sec) Clustered ROM : DEBUG -> Training segment 56 slice(1344, 1368, None)\n", + "( 18.81 sec) ARMA : DEBUG -> Training...\n", + "( 18.81 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.81 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.81 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.81 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.81 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.82 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.82 sec) Clustered ROM : DEBUG -> Training segment 57 slice(1368, 1392, None)\n", + "( 18.82 sec) ARMA : DEBUG -> Training...\n", + "( 18.82 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.82 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.82 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.83 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.83 sec) Clustered ROM : DEBUG -> Training segment 58 slice(1392, 1416, None)\n", + "( 18.83 sec) ARMA : DEBUG -> Training...\n", + "( 18.83 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.83 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.83 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.83 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.83 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.84 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.84 sec) Clustered ROM : DEBUG -> Training segment 59 slice(1416, 1440, None)\n", + "( 18.84 sec) ARMA : DEBUG -> Training...\n", + "( 18.84 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.84 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.84 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.84 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.84 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.86 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.86 sec) Clustered ROM : DEBUG -> Training segment 60 slice(1440, 1464, None)\n", + "( 18.86 sec) ARMA : DEBUG -> Training...\n", + "( 18.86 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.86 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.86 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.86 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.86 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.88 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.88 sec) Clustered ROM : DEBUG -> Training segment 61 slice(1464, 1488, None)\n", + "( 18.88 sec) ARMA : DEBUG -> Training...\n", + "( 18.88 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.88 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.88 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.88 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.88 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.92 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.92 sec) Clustered ROM : DEBUG -> Training segment 62 slice(1488, 1512, None)\n", + "( 18.92 sec) ARMA : DEBUG -> Training...\n", + "( 18.92 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.92 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.92 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.92 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.92 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.92 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.92 sec) Clustered ROM : DEBUG -> Training segment 63 slice(1512, 1536, None)\n", + "( 18.92 sec) ARMA : DEBUG -> Training...\n", + "( 18.92 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.92 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.92 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.92 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.92 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.93 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.93 sec) Clustered ROM : DEBUG -> Training segment 64 slice(1536, 1560, None)\n", + "( 18.93 sec) ARMA : DEBUG -> Training...\n", + "( 18.93 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.93 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.93 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.93 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.93 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.95 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.95 sec) Clustered ROM : DEBUG -> Training segment 65 slice(1560, 1584, None)\n", + "( 18.95 sec) ARMA : DEBUG -> Training...\n", + "( 18.95 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.95 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.95 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.95 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.95 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.98 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.98 sec) Clustered ROM : DEBUG -> Training segment 66 slice(1584, 1608, None)\n", + "( 18.98 sec) ARMA : DEBUG -> Training...\n", + "( 18.98 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.98 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.98 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.98 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.98 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 18.99 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 18.99 sec) Clustered ROM : DEBUG -> Training segment 67 slice(1608, 1632, None)\n", + "( 18.99 sec) ARMA : DEBUG -> Training...\n", + "( 18.99 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 18.99 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 18.99 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 18.99 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 18.99 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.00 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.00 sec) Clustered ROM : DEBUG -> Training segment 68 slice(1632, 1656, None)\n", + "( 19.00 sec) ARMA : DEBUG -> Training...\n", + "( 19.00 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.00 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.00 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.00 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.00 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.01 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.01 sec) Clustered ROM : DEBUG -> Training segment 69 slice(1656, 1680, None)\n", + "( 19.01 sec) ARMA : DEBUG -> Training...\n", + "( 19.01 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.01 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.01 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.01 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.02 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.03 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.03 sec) Clustered ROM : DEBUG -> Training segment 70 slice(1680, 1704, None)\n", + "( 19.03 sec) ARMA : DEBUG -> Training...\n", + "( 19.03 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.03 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.03 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.03 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.03 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.03 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.03 sec) Clustered ROM : DEBUG -> Training segment 71 slice(1704, 1728, None)\n", + "( 19.03 sec) ARMA : DEBUG -> Training...\n", + "( 19.03 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.03 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.04 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.04 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.04 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.05 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.05 sec) Clustered ROM : DEBUG -> Training segment 72 slice(1728, 1752, None)\n", + "( 19.05 sec) ARMA : DEBUG -> Training...\n", + "( 19.05 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.05 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.05 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.05 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.05 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.07 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.07 sec) Clustered ROM : DEBUG -> Training segment 73 slice(1752, 1776, None)\n", + "( 19.07 sec) ARMA : DEBUG -> Training...\n", + "( 19.07 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.07 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.07 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.07 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.07 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.08 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.08 sec) Clustered ROM : DEBUG -> Training segment 74 slice(1776, 1800, None)\n", + "( 19.08 sec) ARMA : DEBUG -> Training...\n", + "( 19.08 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.08 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.08 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.08 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.08 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.08 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.08 sec) Clustered ROM : DEBUG -> Training segment 75 slice(1800, 1824, None)\n", + "( 19.09 sec) ARMA : DEBUG -> Training...\n", + "( 19.09 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.09 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.09 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.09 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.09 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.10 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.10 sec) Clustered ROM : DEBUG -> Training segment 76 slice(1824, 1848, None)\n", + "( 19.10 sec) ARMA : DEBUG -> Training...\n", + "( 19.10 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.10 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.10 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.10 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.10 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.14 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.14 sec) Clustered ROM : DEBUG -> Training segment 77 slice(1848, 1872, None)\n", + "( 19.14 sec) ARMA : DEBUG -> Training...\n", + "( 19.14 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.14 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.14 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.14 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.14 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.15 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.15 sec) Clustered ROM : DEBUG -> Training segment 78 slice(1872, 1896, None)\n", + "( 19.15 sec) ARMA : DEBUG -> Training...\n", + "( 19.15 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.15 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.15 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.15 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.15 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.17 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.17 sec) Clustered ROM : DEBUG -> Training segment 79 slice(1896, 1920, None)\n", + "( 19.17 sec) ARMA : DEBUG -> Training...\n", + "( 19.17 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.17 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.17 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.17 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.17 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.18 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.18 sec) Clustered ROM : DEBUG -> Training segment 80 slice(1920, 1944, None)\n", + "( 19.18 sec) ARMA : DEBUG -> Training...\n", + "( 19.18 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.18 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.18 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.18 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.18 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.18 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.18 sec) Clustered ROM : DEBUG -> Training segment 81 slice(1944, 1968, None)\n", + "( 19.18 sec) ARMA : DEBUG -> Training...\n", + "( 19.18 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.18 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.18 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.18 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.18 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.19 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.20 sec) Clustered ROM : DEBUG -> Training segment 82 slice(1968, 1992, None)\n", + "( 19.20 sec) ARMA : DEBUG -> Training...\n", + "( 19.20 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.20 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.20 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.20 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.20 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.21 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.21 sec) Clustered ROM : DEBUG -> Training segment 83 slice(1992, 2016, None)\n", + "( 19.21 sec) ARMA : DEBUG -> Training...\n", + "( 19.21 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.21 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.21 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.21 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.21 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.22 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.22 sec) Clustered ROM : DEBUG -> Training segment 84 slice(2016, 2040, None)\n", + "( 19.22 sec) ARMA : DEBUG -> Training...\n", + "( 19.22 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.22 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.22 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.22 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.22 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.23 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.23 sec) Clustered ROM : DEBUG -> Training segment 85 slice(2040, 2064, None)\n", + "( 19.23 sec) ARMA : DEBUG -> Training...\n", + "( 19.23 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.23 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.23 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.23 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.23 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.24 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.24 sec) Clustered ROM : DEBUG -> Training segment 86 slice(2064, 2088, None)\n", + "( 19.24 sec) ARMA : DEBUG -> Training...\n", + "( 19.24 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.24 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.24 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.24 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.24 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.28 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.28 sec) Clustered ROM : DEBUG -> Training segment 87 slice(2088, 2112, None)\n", + "( 19.28 sec) ARMA : DEBUG -> Training...\n", + "( 19.28 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.28 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.28 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.28 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.28 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.31 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.31 sec) Clustered ROM : DEBUG -> Training segment 88 slice(2112, 2136, None)\n", + "( 19.31 sec) ARMA : DEBUG -> Training...\n", + "( 19.31 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.31 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.31 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.31 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.31 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.32 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.32 sec) Clustered ROM : DEBUG -> Training segment 89 slice(2136, 2160, None)\n", + "( 19.32 sec) ARMA : DEBUG -> Training...\n", + "( 19.32 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.32 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.32 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.32 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.32 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.34 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.34 sec) Clustered ROM : DEBUG -> Training segment 90 slice(2160, 2184, None)\n", + "( 19.34 sec) ARMA : DEBUG -> Training...\n", + "( 19.34 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.34 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.34 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.34 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.34 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.34 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.35 sec) Clustered ROM : DEBUG -> Training segment 91 slice(2184, 2208, None)\n", + "( 19.35 sec) ARMA : DEBUG -> Training...\n", + "( 19.35 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.35 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.35 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.35 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.35 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.36 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.36 sec) Clustered ROM : DEBUG -> Training segment 92 slice(2208, 2232, None)\n", + "( 19.36 sec) ARMA : DEBUG -> Training...\n", + "( 19.36 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.36 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.36 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.36 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.36 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.37 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.37 sec) Clustered ROM : DEBUG -> Training segment 93 slice(2232, 2256, None)\n", + "( 19.37 sec) ARMA : DEBUG -> Training...\n", + "( 19.37 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.37 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.37 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.37 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.37 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.37 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.37 sec) Clustered ROM : DEBUG -> Training segment 94 slice(2256, 2280, None)\n", + "( 19.37 sec) ARMA : DEBUG -> Training...\n", + "( 19.37 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.37 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.37 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.37 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.37 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.39 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.39 sec) Clustered ROM : DEBUG -> Training segment 95 slice(2280, 2304, None)\n", + "( 19.39 sec) ARMA : DEBUG -> Training...\n", + "( 19.39 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.39 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.39 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.39 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.39 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.40 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.40 sec) Clustered ROM : DEBUG -> Training segment 96 slice(2304, 2328, None)\n", + "( 19.40 sec) ARMA : DEBUG -> Training...\n", + "( 19.40 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.40 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.40 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.40 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.40 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.41 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.41 sec) Clustered ROM : DEBUG -> Training segment 97 slice(2328, 2352, None)\n", + "( 19.41 sec) ARMA : DEBUG -> Training...\n", + "( 19.41 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.41 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.41 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.41 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.41 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.42 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.42 sec) Clustered ROM : DEBUG -> Training segment 98 slice(2352, 2376, None)\n", + "( 19.42 sec) ARMA : DEBUG -> Training...\n", + "( 19.42 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.42 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.42 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.42 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.42 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.43 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.43 sec) Clustered ROM : DEBUG -> Training segment 99 slice(2376, 2400, None)\n", + "( 19.43 sec) ARMA : DEBUG -> Training...\n", + "( 19.43 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.43 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.43 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.43 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.44 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.44 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.44 sec) Clustered ROM : DEBUG -> Training segment 100 slice(2400, 2424, None)\n", + "( 19.44 sec) ARMA : DEBUG -> Training...\n", + "( 19.44 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.44 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.44 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.44 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.44 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.47 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.47 sec) Clustered ROM : DEBUG -> Training segment 101 slice(2424, 2448, None)\n", + "( 19.47 sec) ARMA : DEBUG -> Training...\n", + "( 19.47 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.47 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.47 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.47 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.47 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.49 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.49 sec) Clustered ROM : DEBUG -> Training segment 102 slice(2448, 2472, None)\n", + "( 19.49 sec) ARMA : DEBUG -> Training...\n", + "( 19.49 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.49 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.49 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.49 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.49 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.50 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.50 sec) Clustered ROM : DEBUG -> Training segment 103 slice(2472, 2496, None)\n", + "( 19.50 sec) ARMA : DEBUG -> Training...\n", + "( 19.50 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.50 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.50 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.50 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.50 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.51 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.51 sec) Clustered ROM : DEBUG -> Training segment 104 slice(2496, 2520, None)\n", + "( 19.51 sec) ARMA : DEBUG -> Training...\n", + "( 19.51 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.51 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.51 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.51 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.51 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.52 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.52 sec) Clustered ROM : DEBUG -> Training segment 105 slice(2520, 2544, None)\n", + "( 19.52 sec) ARMA : DEBUG -> Training...\n", + "( 19.52 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.52 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.52 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.52 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.52 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.55 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.55 sec) Clustered ROM : DEBUG -> Training segment 106 slice(2544, 2568, None)\n", + "( 19.55 sec) ARMA : DEBUG -> Training...\n", + "( 19.55 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.55 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.55 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.55 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.55 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.56 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.56 sec) Clustered ROM : DEBUG -> Training segment 107 slice(2568, 2592, None)\n", + "( 19.56 sec) ARMA : DEBUG -> Training...\n", + "( 19.56 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.56 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.56 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.56 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.56 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.58 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.58 sec) Clustered ROM : DEBUG -> Training segment 108 slice(2592, 2616, None)\n", + "( 19.58 sec) ARMA : DEBUG -> Training...\n", + "( 19.58 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.58 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.58 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.58 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.58 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.59 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.59 sec) Clustered ROM : DEBUG -> Training segment 109 slice(2616, 2640, None)\n", + "( 19.59 sec) ARMA : DEBUG -> Training...\n", + "( 19.59 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.59 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.59 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.59 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.59 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.59 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.59 sec) Clustered ROM : DEBUG -> Training segment 110 slice(2640, 2664, None)\n", + "( 19.59 sec) ARMA : DEBUG -> Training...\n", + "( 19.59 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.60 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.60 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.60 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.60 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.61 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.61 sec) Clustered ROM : DEBUG -> Training segment 111 slice(2664, 2688, None)\n", + "( 19.61 sec) ARMA : DEBUG -> Training...\n", + "( 19.61 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.61 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.61 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.61 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.61 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.62 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.63 sec) Clustered ROM : DEBUG -> Training segment 112 slice(2688, 2712, None)\n", + "( 19.63 sec) ARMA : DEBUG -> Training...\n", + "( 19.63 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.63 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.63 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.63 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.63 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.64 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.64 sec) Clustered ROM : DEBUG -> Training segment 113 slice(2712, 2736, None)\n", + "( 19.64 sec) ARMA : DEBUG -> Training...\n", + "( 19.64 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.64 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.64 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.64 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.64 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.65 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.65 sec) Clustered ROM : DEBUG -> Training segment 114 slice(2736, 2760, None)\n", + "( 19.65 sec) ARMA : DEBUG -> Training...\n", + "( 19.65 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.65 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.65 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.65 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.65 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.66 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.66 sec) Clustered ROM : DEBUG -> Training segment 115 slice(2760, 2784, None)\n", + "( 19.66 sec) ARMA : DEBUG -> Training...\n", + "( 19.66 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.66 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.66 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.66 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.66 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.70 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.70 sec) Clustered ROM : DEBUG -> Training segment 116 slice(2784, 2808, None)\n", + "( 19.70 sec) ARMA : DEBUG -> Training...\n", + "( 19.70 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.70 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.70 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.70 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.70 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.70 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.70 sec) Clustered ROM : DEBUG -> Training segment 117 slice(2808, 2832, None)\n", + "( 19.70 sec) ARMA : DEBUG -> Training...\n", + "( 19.70 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.70 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.70 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.70 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.70 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.74 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.74 sec) Clustered ROM : DEBUG -> Training segment 118 slice(2832, 2856, None)\n", + "( 19.74 sec) ARMA : DEBUG -> Training...\n", + "( 19.74 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.74 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.74 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.74 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.74 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.76 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.76 sec) Clustered ROM : DEBUG -> Training segment 119 slice(2856, 2880, None)\n", + "( 19.76 sec) ARMA : DEBUG -> Training...\n", + "( 19.76 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.76 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.76 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.76 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.76 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.77 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.77 sec) Clustered ROM : DEBUG -> Training segment 120 slice(2880, 2904, None)\n", + "( 19.77 sec) ARMA : DEBUG -> Training...\n", + "( 19.77 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.77 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.77 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.77 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.77 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.78 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.78 sec) Clustered ROM : DEBUG -> Training segment 121 slice(2904, 2928, None)\n", + "( 19.78 sec) ARMA : DEBUG -> Training...\n", + "( 19.78 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.78 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.78 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.78 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.78 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.79 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.79 sec) Clustered ROM : DEBUG -> Training segment 122 slice(2928, 2952, None)\n", + "( 19.79 sec) ARMA : DEBUG -> Training...\n", + "( 19.79 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.79 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.79 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.79 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.79 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.80 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.80 sec) Clustered ROM : DEBUG -> Training segment 123 slice(2952, 2976, None)\n", + "( 19.80 sec) ARMA : DEBUG -> Training...\n", + "( 19.80 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.80 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.80 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.80 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.80 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.82 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.82 sec) Clustered ROM : DEBUG -> Training segment 124 slice(2976, 3000, None)\n", + "( 19.82 sec) ARMA : DEBUG -> Training...\n", + "( 19.82 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.82 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.82 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.82 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.82 sec) Clustered ROM : DEBUG -> Training segment 125 slice(3000, 3024, None)\n", + "( 19.82 sec) ARMA : DEBUG -> Training...\n", + "( 19.82 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.82 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.82 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.83 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.84 sec) Clustered ROM : DEBUG -> Training segment 126 slice(3024, 3048, None)\n", + "( 19.84 sec) ARMA : DEBUG -> Training...\n", + "( 19.84 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.84 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.84 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.84 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.84 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.85 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.85 sec) Clustered ROM : DEBUG -> Training segment 127 slice(3048, 3072, None)\n", + "( 19.85 sec) ARMA : DEBUG -> Training...\n", + "( 19.85 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.85 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.85 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.85 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.85 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.86 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.86 sec) Clustered ROM : DEBUG -> Training segment 128 slice(3072, 3096, None)\n", + "( 19.86 sec) ARMA : DEBUG -> Training...\n", + "( 19.86 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.86 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.86 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.86 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.86 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.87 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.87 sec) Clustered ROM : DEBUG -> Training segment 129 slice(3096, 3120, None)\n", + "( 19.87 sec) ARMA : DEBUG -> Training...\n", + "( 19.87 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.87 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.87 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.87 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.87 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.90 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.90 sec) Clustered ROM : DEBUG -> Training segment 130 slice(3120, 3144, None)\n", + "( 19.90 sec) ARMA : DEBUG -> Training...\n", + "( 19.90 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.90 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.90 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.90 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.90 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.91 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.91 sec) Clustered ROM : DEBUG -> Training segment 131 slice(3144, 3168, None)\n", + "( 19.91 sec) ARMA : DEBUG -> Training...\n", + "( 19.91 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.91 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.91 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.91 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.91 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.92 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.92 sec) Clustered ROM : DEBUG -> Training segment 132 slice(3168, 3192, None)\n", + "( 19.92 sec) ARMA : DEBUG -> Training...\n", + "( 19.92 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.92 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.92 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.92 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.92 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.93 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.93 sec) Clustered ROM : DEBUG -> Training segment 133 slice(3192, 3216, None)\n", + "( 19.93 sec) ARMA : DEBUG -> Training...\n", + "( 19.93 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.93 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.93 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.93 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.93 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.94 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.94 sec) Clustered ROM : DEBUG -> Training segment 134 slice(3216, 3240, None)\n", + "( 19.94 sec) ARMA : DEBUG -> Training...\n", + "( 19.94 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.94 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.94 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.94 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.94 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.95 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.95 sec) Clustered ROM : DEBUG -> Training segment 135 slice(3240, 3264, None)\n", + "( 19.95 sec) ARMA : DEBUG -> Training...\n", + "( 19.95 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.95 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.95 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.96 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.96 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.97 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.98 sec) Clustered ROM : DEBUG -> Training segment 136 slice(3264, 3288, None)\n", + "( 19.98 sec) ARMA : DEBUG -> Training...\n", + "( 19.98 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.98 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.98 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.98 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.98 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 19.99 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 19.99 sec) Clustered ROM : DEBUG -> Training segment 137 slice(3288, 3312, None)\n", + "( 19.99 sec) ARMA : DEBUG -> Training...\n", + "( 19.99 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 19.99 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 19.99 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 19.99 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 19.99 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.00 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.00 sec) Clustered ROM : DEBUG -> Training segment 138 slice(3312, 3336, None)\n", + "( 20.00 sec) ARMA : DEBUG -> Training...\n", + "( 20.00 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.00 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.00 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.00 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.00 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.01 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.01 sec) Clustered ROM : DEBUG -> Training segment 139 slice(3336, 3360, None)\n", + "( 20.01 sec) ARMA : DEBUG -> Training...\n", + "( 20.01 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.01 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.01 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.01 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.01 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.02 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.03 sec) Clustered ROM : DEBUG -> Training segment 140 slice(3360, 3384, None)\n", + "( 20.03 sec) ARMA : DEBUG -> Training...\n", + "( 20.03 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.03 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.03 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.03 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.03 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.06 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.06 sec) Clustered ROM : DEBUG -> Training segment 141 slice(3384, 3408, None)\n", + "( 20.06 sec) ARMA : DEBUG -> Training...\n", + "( 20.06 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.06 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.06 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.06 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.06 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.07 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.07 sec) Clustered ROM : DEBUG -> Training segment 142 slice(3408, 3432, None)\n", + "( 20.07 sec) ARMA : DEBUG -> Training...\n", + "( 20.07 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.07 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.07 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.07 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.07 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.08 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.08 sec) Clustered ROM : DEBUG -> Training segment 143 slice(3432, 3456, None)\n", + "( 20.08 sec) ARMA : DEBUG -> Training...\n", + "( 20.08 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.08 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.09 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.09 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.09 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.11 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.11 sec) Clustered ROM : DEBUG -> Training segment 144 slice(3456, 3480, None)\n", + "( 20.11 sec) ARMA : DEBUG -> Training...\n", + "( 20.11 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.11 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.11 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.11 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.11 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.14 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.14 sec) Clustered ROM : DEBUG -> Training segment 145 slice(3480, 3504, None)\n", + "( 20.14 sec) ARMA : DEBUG -> Training...\n", + "( 20.14 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.14 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.14 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.14 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.14 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.15 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.15 sec) Clustered ROM : DEBUG -> Training segment 146 slice(3504, 3528, None)\n", + "( 20.15 sec) ARMA : DEBUG -> Training...\n", + "( 20.15 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.15 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.15 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.15 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.15 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.16 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.16 sec) Clustered ROM : DEBUG -> Training segment 147 slice(3528, 3552, None)\n", + "( 20.16 sec) ARMA : DEBUG -> Training...\n", + "( 20.16 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.16 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.16 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.16 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.16 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.16 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.16 sec) Clustered ROM : DEBUG -> Training segment 148 slice(3552, 3576, None)\n", + "( 20.16 sec) ARMA : DEBUG -> Training...\n", + "( 20.16 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.16 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.16 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.16 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.16 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.20 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.20 sec) Clustered ROM : DEBUG -> Training segment 149 slice(3576, 3600, None)\n", + "( 20.20 sec) ARMA : DEBUG -> Training...\n", + "( 20.20 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.20 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.20 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.20 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.20 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.21 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.21 sec) Clustered ROM : DEBUG -> Training segment 150 slice(3600, 3624, None)\n", + "( 20.21 sec) ARMA : DEBUG -> Training...\n", + "( 20.21 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.21 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.21 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.21 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.22 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.23 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.23 sec) Clustered ROM : DEBUG -> Training segment 151 slice(3624, 3648, None)\n", + "( 20.23 sec) ARMA : DEBUG -> Training...\n", + "( 20.23 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.23 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.23 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.23 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.23 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.24 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.24 sec) Clustered ROM : DEBUG -> Training segment 152 slice(3648, 3672, None)\n", + "( 20.24 sec) ARMA : DEBUG -> Training...\n", + "( 20.24 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.24 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.24 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.24 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.24 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.24 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.25 sec) Clustered ROM : DEBUG -> Training segment 153 slice(3672, 3696, None)\n", + "( 20.25 sec) ARMA : DEBUG -> Training...\n", + "( 20.25 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.25 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.25 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.25 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.25 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.26 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.26 sec) Clustered ROM : DEBUG -> Training segment 154 slice(3696, 3720, None)\n", + "( 20.26 sec) ARMA : DEBUG -> Training...\n", + "( 20.26 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.26 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.26 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.26 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.26 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.27 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.27 sec) Clustered ROM : DEBUG -> Training segment 155 slice(3720, 3744, None)\n", + "( 20.27 sec) ARMA : DEBUG -> Training...\n", + "( 20.27 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.27 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.27 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.27 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.27 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.28 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.28 sec) Clustered ROM : DEBUG -> Training segment 156 slice(3744, 3768, None)\n", + "( 20.28 sec) ARMA : DEBUG -> Training...\n", + "( 20.28 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.28 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.28 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.29 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.29 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.30 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.30 sec) Clustered ROM : DEBUG -> Training segment 157 slice(3768, 3792, None)\n", + "( 20.30 sec) ARMA : DEBUG -> Training...\n", + "( 20.30 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.30 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.30 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.30 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.30 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.30 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.30 sec) Clustered ROM : DEBUG -> Training segment 158 slice(3792, 3816, None)\n", + "( 20.30 sec) ARMA : DEBUG -> Training...\n", + "( 20.30 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.30 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.30 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.30 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.30 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.31 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.31 sec) Clustered ROM : DEBUG -> Training segment 159 slice(3816, 3840, None)\n", + "( 20.31 sec) ARMA : DEBUG -> Training...\n", + "( 20.31 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.31 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.31 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.31 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.31 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.33 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.33 sec) Clustered ROM : DEBUG -> Training segment 160 slice(3840, 3864, None)\n", + "( 20.33 sec) ARMA : DEBUG -> Training...\n", + "( 20.33 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.33 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.33 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.33 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.33 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.34 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.34 sec) Clustered ROM : DEBUG -> Training segment 161 slice(3864, 3888, None)\n", + "( 20.34 sec) ARMA : DEBUG -> Training...\n", + "( 20.34 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.34 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.34 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.34 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.34 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.35 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.35 sec) Clustered ROM : DEBUG -> Training segment 162 slice(3888, 3912, None)\n", + "( 20.35 sec) ARMA : DEBUG -> Training...\n", + "( 20.35 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.35 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.35 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.35 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.35 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.36 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.36 sec) Clustered ROM : DEBUG -> Training segment 163 slice(3912, 3936, None)\n", + "( 20.36 sec) ARMA : DEBUG -> Training...\n", + "( 20.36 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.36 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.36 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.36 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.36 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.37 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.37 sec) Clustered ROM : DEBUG -> Training segment 164 slice(3936, 3960, None)\n", + "( 20.37 sec) ARMA : DEBUG -> Training...\n", + "( 20.37 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.37 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.37 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.37 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.37 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.38 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.38 sec) Clustered ROM : DEBUG -> Training segment 165 slice(3960, 3984, None)\n", + "( 20.38 sec) ARMA : DEBUG -> Training...\n", + "( 20.38 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.38 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.38 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.38 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.38 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.40 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.40 sec) Clustered ROM : DEBUG -> Training segment 166 slice(3984, 4008, None)\n", + "( 20.40 sec) ARMA : DEBUG -> Training...\n", + "( 20.40 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.40 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.40 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.40 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.40 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.40 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.40 sec) Clustered ROM : DEBUG -> Training segment 167 slice(4008, 4032, None)\n", + "( 20.40 sec) ARMA : DEBUG -> Training...\n", + "( 20.40 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.40 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.40 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.40 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.40 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.44 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.44 sec) Clustered ROM : DEBUG -> Training segment 168 slice(4032, 4056, None)\n", + "( 20.44 sec) ARMA : DEBUG -> Training...\n", + "( 20.44 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.44 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.44 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.44 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.44 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.45 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.45 sec) Clustered ROM : DEBUG -> Training segment 169 slice(4056, 4080, None)\n", + "( 20.45 sec) ARMA : DEBUG -> Training...\n", + "( 20.45 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.45 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.45 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.45 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.45 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.49 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.49 sec) Clustered ROM : DEBUG -> Training segment 170 slice(4080, 4104, None)\n", + "( 20.49 sec) ARMA : DEBUG -> Training...\n", + "( 20.49 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.49 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.49 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.49 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.49 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.49 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.49 sec) Clustered ROM : DEBUG -> Training segment 171 slice(4104, 4128, None)\n", + "( 20.49 sec) ARMA : DEBUG -> Training...\n", + "( 20.49 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.49 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.49 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.49 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.49 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.53 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.53 sec) Clustered ROM : DEBUG -> Training segment 172 slice(4128, 4152, None)\n", + "( 20.53 sec) ARMA : DEBUG -> Training...\n", + "( 20.53 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.53 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.53 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.53 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.53 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.54 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.54 sec) Clustered ROM : DEBUG -> Training segment 173 slice(4152, 4176, None)\n", + "( 20.54 sec) ARMA : DEBUG -> Training...\n", + "( 20.54 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.54 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.54 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.54 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.54 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.55 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.55 sec) Clustered ROM : DEBUG -> Training segment 174 slice(4176, 4200, None)\n", + "( 20.55 sec) ARMA : DEBUG -> Training...\n", + "( 20.55 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.55 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.55 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.55 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.55 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.57 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.57 sec) Clustered ROM : DEBUG -> Training segment 175 slice(4200, 4224, None)\n", + "( 20.57 sec) ARMA : DEBUG -> Training...\n", + "( 20.57 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.57 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.57 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.57 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.57 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.57 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.58 sec) Clustered ROM : DEBUG -> Training segment 176 slice(4224, 4248, None)\n", + "( 20.58 sec) ARMA : DEBUG -> Training...\n", + "( 20.58 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.58 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.58 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.58 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.58 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.59 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.59 sec) Clustered ROM : DEBUG -> Training segment 177 slice(4248, 4272, None)\n", + "( 20.59 sec) ARMA : DEBUG -> Training...\n", + "( 20.59 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.59 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.59 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.59 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.59 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.60 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.60 sec) Clustered ROM : DEBUG -> Training segment 178 slice(4272, 4296, None)\n", + "( 20.60 sec) ARMA : DEBUG -> Training...\n", + "( 20.60 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.60 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.60 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.60 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.60 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.62 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.62 sec) Clustered ROM : DEBUG -> Training segment 179 slice(4296, 4320, None)\n", + "( 20.62 sec) ARMA : DEBUG -> Training...\n", + "( 20.62 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.62 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.62 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.62 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.62 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.62 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.62 sec) Clustered ROM : DEBUG -> Training segment 180 slice(4320, 4344, None)\n", + "( 20.62 sec) ARMA : DEBUG -> Training...\n", + "( 20.62 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.62 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.62 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.62 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.62 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.63 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.63 sec) Clustered ROM : DEBUG -> Training segment 181 slice(4344, 4368, None)\n", + "( 20.63 sec) ARMA : DEBUG -> Training...\n", + "( 20.63 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.63 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.63 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.63 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.63 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.65 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.65 sec) Clustered ROM : DEBUG -> Training segment 182 slice(4368, 4392, None)\n", + "( 20.65 sec) ARMA : DEBUG -> Training...\n", + "( 20.65 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.65 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.65 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.65 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.65 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.67 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.67 sec) Clustered ROM : DEBUG -> Training segment 183 slice(4392, 4416, None)\n", + "( 20.67 sec) ARMA : DEBUG -> Training...\n", + "( 20.67 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.67 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.67 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.67 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.67 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.67 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.67 sec) Clustered ROM : DEBUG -> Training segment 184 slice(4416, 4440, None)\n", + "( 20.67 sec) ARMA : DEBUG -> Training...\n", + "( 20.67 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.67 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.67 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.67 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.67 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.68 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.68 sec) Clustered ROM : DEBUG -> Training segment 185 slice(4440, 4464, None)\n", + "( 20.68 sec) ARMA : DEBUG -> Training...\n", + "( 20.68 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.68 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.68 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.68 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.68 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.70 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.70 sec) Clustered ROM : DEBUG -> Training segment 186 slice(4464, 4488, None)\n", + "( 20.70 sec) ARMA : DEBUG -> Training...\n", + "( 20.70 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.70 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.70 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.70 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.70 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.71 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.71 sec) Clustered ROM : DEBUG -> Training segment 187 slice(4488, 4512, None)\n", + "( 20.71 sec) ARMA : DEBUG -> Training...\n", + "( 20.71 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.71 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.71 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.71 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.71 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.76 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.76 sec) Clustered ROM : DEBUG -> Training segment 188 slice(4512, 4536, None)\n", + "( 20.76 sec) ARMA : DEBUG -> Training...\n", + "( 20.76 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.76 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.76 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.76 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.76 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.79 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.79 sec) Clustered ROM : DEBUG -> Training segment 189 slice(4536, 4560, None)\n", + "( 20.79 sec) ARMA : DEBUG -> Training...\n", + "( 20.79 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.79 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.79 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.79 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.79 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.82 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.82 sec) Clustered ROM : DEBUG -> Training segment 190 slice(4560, 4584, None)\n", + "( 20.82 sec) ARMA : DEBUG -> Training...\n", + "( 20.82 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.82 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.82 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.83 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.83 sec) Clustered ROM : DEBUG -> Training segment 191 slice(4584, 4608, None)\n", + "( 20.83 sec) ARMA : DEBUG -> Training...\n", + "( 20.83 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.83 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.83 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.83 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.83 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.86 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.86 sec) Clustered ROM : DEBUG -> Training segment 192 slice(4608, 4632, None)\n", + "( 20.86 sec) ARMA : DEBUG -> Training...\n", + "( 20.86 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.86 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.86 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.86 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.86 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.87 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.88 sec) Clustered ROM : DEBUG -> Training segment 193 slice(4632, 4656, None)\n", + "( 20.88 sec) ARMA : DEBUG -> Training...\n", + "( 20.88 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.88 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.88 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.88 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.88 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.89 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.89 sec) Clustered ROM : DEBUG -> Training segment 194 slice(4656, 4680, None)\n", + "( 20.89 sec) ARMA : DEBUG -> Training...\n", + "( 20.89 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.89 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.89 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.89 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.89 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.90 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.90 sec) Clustered ROM : DEBUG -> Training segment 195 slice(4680, 4704, None)\n", + "( 20.90 sec) ARMA : DEBUG -> Training...\n", + "( 20.90 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.90 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.90 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.90 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.90 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.90 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.90 sec) Clustered ROM : DEBUG -> Training segment 196 slice(4704, 4728, None)\n", + "( 20.90 sec) ARMA : DEBUG -> Training...\n", + "( 20.90 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.90 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.90 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.90 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.91 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.92 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.92 sec) Clustered ROM : DEBUG -> Training segment 197 slice(4728, 4752, None)\n", + "( 20.92 sec) ARMA : DEBUG -> Training...\n", + "( 20.92 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.92 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.92 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.92 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.92 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.93 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.93 sec) Clustered ROM : DEBUG -> Training segment 198 slice(4752, 4776, None)\n", + "( 20.93 sec) ARMA : DEBUG -> Training...\n", + "( 20.93 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.93 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.93 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.93 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.94 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.96 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.96 sec) Clustered ROM : DEBUG -> Training segment 199 slice(4776, 4800, None)\n", + "( 20.96 sec) ARMA : DEBUG -> Training...\n", + "( 20.96 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.96 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.96 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.96 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.96 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.97 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.97 sec) Clustered ROM : DEBUG -> Training segment 200 slice(4800, 4824, None)\n", + "( 20.97 sec) ARMA : DEBUG -> Training...\n", + "( 20.97 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.97 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.97 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.97 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.98 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 20.99 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 20.99 sec) Clustered ROM : DEBUG -> Training segment 201 slice(4824, 4848, None)\n", + "( 20.99 sec) ARMA : DEBUG -> Training...\n", + "( 20.99 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 20.99 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 20.99 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 20.99 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 20.99 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.00 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.00 sec) Clustered ROM : DEBUG -> Training segment 202 slice(4848, 4872, None)\n", + "( 21.00 sec) ARMA : DEBUG -> Training...\n", + "( 21.00 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.00 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.00 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.00 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.00 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.02 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.02 sec) Clustered ROM : DEBUG -> Training segment 203 slice(4872, 4896, None)\n", + "( 21.02 sec) ARMA : DEBUG -> Training...\n", + "( 21.02 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.02 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.02 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.03 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.03 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.05 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.05 sec) Clustered ROM : DEBUG -> Training segment 204 slice(4896, 4920, None)\n", + "( 21.05 sec) ARMA : DEBUG -> Training...\n", + "( 21.05 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.05 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.05 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.05 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.06 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.07 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.07 sec) Clustered ROM : DEBUG -> Training segment 205 slice(4920, 4944, None)\n", + "( 21.07 sec) ARMA : DEBUG -> Training...\n", + "( 21.07 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.07 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.07 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.07 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.07 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.08 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.08 sec) Clustered ROM : DEBUG -> Training segment 206 slice(4944, 4968, None)\n", + "( 21.08 sec) ARMA : DEBUG -> Training...\n", + "( 21.08 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.08 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.08 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.08 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.08 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.09 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.10 sec) Clustered ROM : DEBUG -> Training segment 207 slice(4968, 4992, None)\n", + "( 21.10 sec) ARMA : DEBUG -> Training...\n", + "( 21.10 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.10 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.10 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.10 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.10 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.13 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.13 sec) Clustered ROM : DEBUG -> Training segment 208 slice(4992, 5016, None)\n", + "( 21.13 sec) ARMA : DEBUG -> Training...\n", + "( 21.13 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.13 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.13 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.13 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.13 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.14 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.14 sec) Clustered ROM : DEBUG -> Training segment 209 slice(5016, 5040, None)\n", + "( 21.14 sec) ARMA : DEBUG -> Training...\n", + "( 21.14 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.14 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.14 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.14 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.14 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.16 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.16 sec) Clustered ROM : DEBUG -> Training segment 210 slice(5040, 5064, None)\n", + "( 21.16 sec) ARMA : DEBUG -> Training...\n", + "( 21.16 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.16 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.16 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.17 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.17 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.20 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.20 sec) Clustered ROM : DEBUG -> Training segment 211 slice(5064, 5088, None)\n", + "( 21.20 sec) ARMA : DEBUG -> Training...\n", + "( 21.20 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.20 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.20 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.20 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.20 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.21 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.21 sec) Clustered ROM : DEBUG -> Training segment 212 slice(5088, 5112, None)\n", + "( 21.21 sec) ARMA : DEBUG -> Training...\n", + "( 21.21 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.21 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.21 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.21 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.21 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.24 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.24 sec) Clustered ROM : DEBUG -> Training segment 213 slice(5112, 5136, None)\n", + "( 21.24 sec) ARMA : DEBUG -> Training...\n", + "( 21.24 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.24 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.24 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.24 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.24 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.25 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.25 sec) Clustered ROM : DEBUG -> Training segment 214 slice(5136, 5160, None)\n", + "( 21.25 sec) ARMA : DEBUG -> Training...\n", + "( 21.25 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.25 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.25 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.25 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.25 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.27 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.27 sec) Clustered ROM : DEBUG -> Training segment 215 slice(5160, 5184, None)\n", + "( 21.27 sec) ARMA : DEBUG -> Training...\n", + "( 21.27 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.27 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.27 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.27 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.27 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.31 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.31 sec) Clustered ROM : DEBUG -> Training segment 216 slice(5184, 5208, None)\n", + "( 21.31 sec) ARMA : DEBUG -> Training...\n", + "( 21.31 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.31 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.31 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.31 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.31 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.32 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.32 sec) Clustered ROM : DEBUG -> Training segment 217 slice(5208, 5232, None)\n", + "( 21.32 sec) ARMA : DEBUG -> Training...\n", + "( 21.32 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.32 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.32 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.32 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.32 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.33 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.34 sec) Clustered ROM : DEBUG -> Training segment 218 slice(5232, 5256, None)\n", + "( 21.34 sec) ARMA : DEBUG -> Training...\n", + "( 21.34 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.34 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.34 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.34 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.34 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.37 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.37 sec) Clustered ROM : DEBUG -> Training segment 219 slice(5256, 5280, None)\n", + "( 21.37 sec) ARMA : DEBUG -> Training...\n", + "( 21.37 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.37 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.37 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.37 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.37 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.38 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.38 sec) Clustered ROM : DEBUG -> Training segment 220 slice(5280, 5304, None)\n", + "( 21.38 sec) ARMA : DEBUG -> Training...\n", + "( 21.38 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.38 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.38 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.38 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.38 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.41 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.41 sec) Clustered ROM : DEBUG -> Training segment 221 slice(5304, 5328, None)\n", + "( 21.41 sec) ARMA : DEBUG -> Training...\n", + "( 21.41 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.41 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.41 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.41 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.41 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.42 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.42 sec) Clustered ROM : DEBUG -> Training segment 222 slice(5328, 5352, None)\n", + "( 21.42 sec) ARMA : DEBUG -> Training...\n", + "( 21.42 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.42 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.43 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.43 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.43 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.44 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.44 sec) Clustered ROM : DEBUG -> Training segment 223 slice(5352, 5376, None)\n", + "( 21.44 sec) ARMA : DEBUG -> Training...\n", + "( 21.44 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.44 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.44 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.44 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.44 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.45 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.45 sec) Clustered ROM : DEBUG -> Training segment 224 slice(5376, 5400, None)\n", + "( 21.45 sec) ARMA : DEBUG -> Training...\n", + "( 21.45 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.45 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.45 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.45 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.45 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.45 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.45 sec) Clustered ROM : DEBUG -> Training segment 225 slice(5400, 5424, None)\n", + "( 21.45 sec) ARMA : DEBUG -> Training...\n", + "( 21.45 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.45 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.45 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.45 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.45 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.47 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.48 sec) Clustered ROM : DEBUG -> Training segment 226 slice(5424, 5448, None)\n", + "( 21.48 sec) ARMA : DEBUG -> Training...\n", + "( 21.48 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.48 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.48 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.48 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.48 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.49 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.49 sec) Clustered ROM : DEBUG -> Training segment 227 slice(5448, 5472, None)\n", + "( 21.49 sec) ARMA : DEBUG -> Training...\n", + "( 21.49 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.49 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.49 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.49 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.49 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.53 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.53 sec) Clustered ROM : DEBUG -> Training segment 228 slice(5472, 5496, None)\n", + "( 21.53 sec) ARMA : DEBUG -> Training...\n", + "( 21.53 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.53 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.53 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.53 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.53 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.54 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.54 sec) Clustered ROM : DEBUG -> Training segment 229 slice(5496, 5520, None)\n", + "( 21.54 sec) ARMA : DEBUG -> Training...\n", + "( 21.54 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.54 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.54 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.54 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.54 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.55 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.55 sec) Clustered ROM : DEBUG -> Training segment 230 slice(5520, 5544, None)\n", + "( 21.55 sec) ARMA : DEBUG -> Training...\n", + "( 21.55 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.55 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.55 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.55 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.55 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.56 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.56 sec) Clustered ROM : DEBUG -> Training segment 231 slice(5544, 5568, None)\n", + "( 21.56 sec) ARMA : DEBUG -> Training...\n", + "( 21.56 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.56 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.56 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.56 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.56 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.64 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.64 sec) Clustered ROM : DEBUG -> Training segment 232 slice(5568, 5592, None)\n", + "( 21.64 sec) ARMA : DEBUG -> Training...\n", + "( 21.64 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.65 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.65 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.65 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.65 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.66 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.66 sec) Clustered ROM : DEBUG -> Training segment 233 slice(5592, 5616, None)\n", + "( 21.66 sec) ARMA : DEBUG -> Training...\n", + "( 21.66 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.66 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.66 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.66 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.66 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.67 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.67 sec) Clustered ROM : DEBUG -> Training segment 234 slice(5616, 5640, None)\n", + "( 21.67 sec) ARMA : DEBUG -> Training...\n", + "( 21.67 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.67 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.67 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.67 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.67 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.68 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.68 sec) Clustered ROM : DEBUG -> Training segment 235 slice(5640, 5664, None)\n", + "( 21.68 sec) ARMA : DEBUG -> Training...\n", + "( 21.68 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.68 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.68 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.68 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.68 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.69 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.69 sec) Clustered ROM : DEBUG -> Training segment 236 slice(5664, 5688, None)\n", + "( 21.69 sec) ARMA : DEBUG -> Training...\n", + "( 21.69 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.69 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.69 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.69 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.69 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.70 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.70 sec) Clustered ROM : DEBUG -> Training segment 237 slice(5688, 5712, None)\n", + "( 21.70 sec) ARMA : DEBUG -> Training...\n", + "( 21.70 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.70 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.70 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.70 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.70 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.72 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.72 sec) Clustered ROM : DEBUG -> Training segment 238 slice(5712, 5736, None)\n", + "( 21.72 sec) ARMA : DEBUG -> Training...\n", + "( 21.72 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.72 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.72 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.72 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.72 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.72 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.72 sec) Clustered ROM : DEBUG -> Training segment 239 slice(5736, 5760, None)\n", + "( 21.72 sec) ARMA : DEBUG -> Training...\n", + "( 21.72 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.72 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.72 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.73 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.73 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.74 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.74 sec) Clustered ROM : DEBUG -> Training segment 240 slice(5760, 5784, None)\n", + "( 21.74 sec) ARMA : DEBUG -> Training...\n", + "( 21.74 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.74 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.74 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.74 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.74 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.75 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.75 sec) Clustered ROM : DEBUG -> Training segment 241 slice(5784, 5808, None)\n", + "( 21.75 sec) ARMA : DEBUG -> Training...\n", + "( 21.75 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.75 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.75 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.75 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.75 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.76 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.76 sec) Clustered ROM : DEBUG -> Training segment 242 slice(5808, 5832, None)\n", + "( 21.76 sec) ARMA : DEBUG -> Training...\n", + "( 21.76 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.76 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.76 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.76 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.76 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.80 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.80 sec) Clustered ROM : DEBUG -> Training segment 243 slice(5832, 5856, None)\n", + "( 21.80 sec) ARMA : DEBUG -> Training...\n", + "( 21.80 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.80 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.80 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.80 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.80 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.81 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.82 sec) Clustered ROM : DEBUG -> Training segment 244 slice(5856, 5880, None)\n", + "( 21.82 sec) ARMA : DEBUG -> Training...\n", + "( 21.82 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.82 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.82 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.82 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.82 sec) Clustered ROM : DEBUG -> Training segment 245 slice(5880, 5904, None)\n", + "( 21.82 sec) ARMA : DEBUG -> Training...\n", + "( 21.82 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.82 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.83 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.83 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.83 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.83 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.84 sec) Clustered ROM : DEBUG -> Training segment 246 slice(5904, 5928, None)\n", + "( 21.84 sec) ARMA : DEBUG -> Training...\n", + "( 21.84 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.84 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.84 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.84 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.84 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.85 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.85 sec) Clustered ROM : DEBUG -> Training segment 247 slice(5928, 5952, None)\n", + "( 21.85 sec) ARMA : DEBUG -> Training...\n", + "( 21.85 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.85 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.85 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.85 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.85 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.86 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.86 sec) Clustered ROM : DEBUG -> Training segment 248 slice(5952, 5976, None)\n", + "( 21.86 sec) ARMA : DEBUG -> Training...\n", + "( 21.86 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.86 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.86 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.86 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.86 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.87 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.87 sec) Clustered ROM : DEBUG -> Training segment 249 slice(5976, 6000, None)\n", + "( 21.87 sec) ARMA : DEBUG -> Training...\n", + "( 21.87 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.87 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.87 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.87 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.87 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.89 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.89 sec) Clustered ROM : DEBUG -> Training segment 250 slice(6000, 6024, None)\n", + "( 21.89 sec) ARMA : DEBUG -> Training...\n", + "( 21.89 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.89 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.89 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.89 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.89 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.90 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.90 sec) Clustered ROM : DEBUG -> Training segment 251 slice(6024, 6048, None)\n", + "( 21.90 sec) ARMA : DEBUG -> Training...\n", + "( 21.90 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.90 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.90 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.90 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.90 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.91 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.91 sec) Clustered ROM : DEBUG -> Training segment 252 slice(6048, 6072, None)\n", + "( 21.91 sec) ARMA : DEBUG -> Training...\n", + "( 21.91 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.91 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.91 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.91 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.91 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.94 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.94 sec) Clustered ROM : DEBUG -> Training segment 253 slice(6072, 6096, None)\n", + "( 21.94 sec) ARMA : DEBUG -> Training...\n", + "( 21.94 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.94 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.94 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.94 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.94 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.95 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.96 sec) Clustered ROM : DEBUG -> Training segment 254 slice(6096, 6120, None)\n", + "( 21.96 sec) ARMA : DEBUG -> Training...\n", + "( 21.96 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.96 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.96 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.96 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.96 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.97 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.97 sec) Clustered ROM : DEBUG -> Training segment 255 slice(6120, 6144, None)\n", + "( 21.97 sec) ARMA : DEBUG -> Training...\n", + "( 21.97 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.97 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.97 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.97 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.97 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.97 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.97 sec) Clustered ROM : DEBUG -> Training segment 256 slice(6144, 6168, None)\n", + "( 21.97 sec) ARMA : DEBUG -> Training...\n", + "( 21.97 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.97 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.97 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.97 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.97 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 21.98 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 21.98 sec) Clustered ROM : DEBUG -> Training segment 257 slice(6168, 6192, None)\n", + "( 21.98 sec) ARMA : DEBUG -> Training...\n", + "( 21.98 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 21.98 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 21.98 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 21.98 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 21.98 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.00 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.00 sec) Clustered ROM : DEBUG -> Training segment 258 slice(6192, 6216, None)\n", + "( 22.00 sec) ARMA : DEBUG -> Training...\n", + "( 22.00 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.00 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.00 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.00 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.00 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.01 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.01 sec) Clustered ROM : DEBUG -> Training segment 259 slice(6216, 6240, None)\n", + "( 22.01 sec) ARMA : DEBUG -> Training...\n", + "( 22.01 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.01 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.01 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.01 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.01 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.02 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.02 sec) Clustered ROM : DEBUG -> Training segment 260 slice(6240, 6264, None)\n", + "( 22.02 sec) ARMA : DEBUG -> Training...\n", + "( 22.02 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.02 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.02 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.02 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.02 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.03 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.03 sec) Clustered ROM : DEBUG -> Training segment 261 slice(6264, 6288, None)\n", + "( 22.03 sec) ARMA : DEBUG -> Training...\n", + "( 22.03 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.03 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.03 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.03 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.03 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.04 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.04 sec) Clustered ROM : DEBUG -> Training segment 262 slice(6288, 6312, None)\n", + "( 22.04 sec) ARMA : DEBUG -> Training...\n", + "( 22.04 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.04 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.04 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.04 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.04 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.09 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.09 sec) Clustered ROM : DEBUG -> Training segment 263 slice(6312, 6336, None)\n", + "( 22.09 sec) ARMA : DEBUG -> Training...\n", + "( 22.09 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.09 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.09 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.09 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.09 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.12 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.12 sec) Clustered ROM : DEBUG -> Training segment 264 slice(6336, 6360, None)\n", + "( 22.12 sec) ARMA : DEBUG -> Training...\n", + "( 22.12 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.12 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.12 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.12 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.12 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.15 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.15 sec) Clustered ROM : DEBUG -> Training segment 265 slice(6360, 6384, None)\n", + "( 22.15 sec) ARMA : DEBUG -> Training...\n", + "( 22.15 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.15 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.15 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.15 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.15 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.16 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.16 sec) Clustered ROM : DEBUG -> Training segment 266 slice(6384, 6408, None)\n", + "( 22.16 sec) ARMA : DEBUG -> Training...\n", + "( 22.17 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.17 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.17 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.17 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.17 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.19 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.19 sec) Clustered ROM : DEBUG -> Training segment 267 slice(6408, 6432, None)\n", + "( 22.19 sec) ARMA : DEBUG -> Training...\n", + "( 22.19 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.19 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.19 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.19 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.19 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.20 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.21 sec) Clustered ROM : DEBUG -> Training segment 268 slice(6432, 6456, None)\n", + "( 22.21 sec) ARMA : DEBUG -> Training...\n", + "( 22.21 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.21 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.21 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.21 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.21 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.22 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.22 sec) Clustered ROM : DEBUG -> Training segment 269 slice(6456, 6480, None)\n", + "( 22.22 sec) ARMA : DEBUG -> Training...\n", + "( 22.22 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.22 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.22 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.22 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.22 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.25 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.25 sec) Clustered ROM : DEBUG -> Training segment 270 slice(6480, 6504, None)\n", + "( 22.25 sec) ARMA : DEBUG -> Training...\n", + "( 22.25 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.25 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.25 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.25 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.25 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.26 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.26 sec) Clustered ROM : DEBUG -> Training segment 271 slice(6504, 6528, None)\n", + "( 22.26 sec) ARMA : DEBUG -> Training...\n", + "( 22.26 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.26 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.26 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.26 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.26 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.26 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.26 sec) Clustered ROM : DEBUG -> Training segment 272 slice(6528, 6552, None)\n", + "( 22.26 sec) ARMA : DEBUG -> Training...\n", + "( 22.26 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.26 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.26 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.26 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.27 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.28 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.28 sec) Clustered ROM : DEBUG -> Training segment 273 slice(6552, 6576, None)\n", + "( 22.28 sec) ARMA : DEBUG -> Training...\n", + "( 22.28 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.28 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.28 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.28 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.28 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.29 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.29 sec) Clustered ROM : DEBUG -> Training segment 274 slice(6576, 6600, None)\n", + "( 22.29 sec) ARMA : DEBUG -> Training...\n", + "( 22.29 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.29 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.29 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.29 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.29 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.30 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.30 sec) Clustered ROM : DEBUG -> Training segment 275 slice(6600, 6624, None)\n", + "( 22.30 sec) ARMA : DEBUG -> Training...\n", + "( 22.30 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.30 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.30 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.30 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.30 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.31 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.31 sec) Clustered ROM : DEBUG -> Training segment 276 slice(6624, 6648, None)\n", + "( 22.31 sec) ARMA : DEBUG -> Training...\n", + "( 22.31 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.31 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.31 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.31 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.31 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.32 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.32 sec) Clustered ROM : DEBUG -> Training segment 277 slice(6648, 6672, None)\n", + "( 22.32 sec) ARMA : DEBUG -> Training...\n", + "( 22.32 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.32 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.32 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.32 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.32 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.33 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.33 sec) Clustered ROM : DEBUG -> Training segment 278 slice(6672, 6696, None)\n", + "( 22.33 sec) ARMA : DEBUG -> Training...\n", + "( 22.33 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.33 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.33 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.33 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.33 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.35 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.35 sec) Clustered ROM : DEBUG -> Training segment 279 slice(6696, 6720, None)\n", + "( 22.35 sec) ARMA : DEBUG -> Training...\n", + "( 22.35 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.35 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.35 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.35 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.35 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.38 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.38 sec) Clustered ROM : DEBUG -> Training segment 280 slice(6720, 6744, None)\n", + "( 22.38 sec) ARMA : DEBUG -> Training...\n", + "( 22.38 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.38 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.38 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.38 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.38 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.39 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.39 sec) Clustered ROM : DEBUG -> Training segment 281 slice(6744, 6768, None)\n", + "( 22.39 sec) ARMA : DEBUG -> Training...\n", + "( 22.39 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.39 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.39 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.39 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.39 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.40 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.40 sec) Clustered ROM : DEBUG -> Training segment 282 slice(6768, 6792, None)\n", + "( 22.40 sec) ARMA : DEBUG -> Training...\n", + "( 22.40 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.40 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.40 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.40 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.40 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.41 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.41 sec) Clustered ROM : DEBUG -> Training segment 283 slice(6792, 6816, None)\n", + "( 22.41 sec) ARMA : DEBUG -> Training...\n", + "( 22.41 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.41 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.41 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.41 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.41 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.42 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.42 sec) Clustered ROM : DEBUG -> Training segment 284 slice(6816, 6840, None)\n", + "( 22.42 sec) ARMA : DEBUG -> Training...\n", + "( 22.42 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.42 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.42 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.42 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.42 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.45 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.45 sec) Clustered ROM : DEBUG -> Training segment 285 slice(6840, 6864, None)\n", + "( 22.45 sec) ARMA : DEBUG -> Training...\n", + "( 22.45 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.45 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.45 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.45 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.45 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.46 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.46 sec) Clustered ROM : DEBUG -> Training segment 286 slice(6864, 6888, None)\n", + "( 22.46 sec) ARMA : DEBUG -> Training...\n", + "( 22.46 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.46 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.46 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.46 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.46 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.50 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.50 sec) Clustered ROM : DEBUG -> Training segment 287 slice(6888, 6912, None)\n", + "( 22.50 sec) ARMA : DEBUG -> Training...\n", + "( 22.50 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.50 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.50 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.50 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.50 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.50 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.51 sec) Clustered ROM : DEBUG -> Training segment 288 slice(6912, 6936, None)\n", + "( 22.51 sec) ARMA : DEBUG -> Training...\n", + "( 22.51 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.51 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.51 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.51 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.51 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.52 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.52 sec) Clustered ROM : DEBUG -> Training segment 289 slice(6936, 6960, None)\n", + "( 22.52 sec) ARMA : DEBUG -> Training...\n", + "( 22.52 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.52 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.52 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.52 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.52 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.53 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.53 sec) Clustered ROM : DEBUG -> Training segment 290 slice(6960, 6984, None)\n", + "( 22.53 sec) ARMA : DEBUG -> Training...\n", + "( 22.53 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.53 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.53 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.53 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.53 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.54 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.54 sec) Clustered ROM : DEBUG -> Training segment 291 slice(6984, 7008, None)\n", + "( 22.55 sec) ARMA : DEBUG -> Training...\n", + "( 22.55 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.55 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.55 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.55 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.55 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.55 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.55 sec) Clustered ROM : DEBUG -> Training segment 292 slice(7008, 7032, None)\n", + "( 22.55 sec) ARMA : DEBUG -> Training...\n", + "( 22.55 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.55 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.55 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.55 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.55 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.57 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.57 sec) Clustered ROM : DEBUG -> Training segment 293 slice(7032, 7056, None)\n", + "( 22.57 sec) ARMA : DEBUG -> Training...\n", + "( 22.57 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.57 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.57 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.57 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.57 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.58 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.59 sec) Clustered ROM : DEBUG -> Training segment 294 slice(7056, 7080, None)\n", + "( 22.59 sec) ARMA : DEBUG -> Training...\n", + "( 22.59 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.59 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.59 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.59 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.59 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.59 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.59 sec) Clustered ROM : DEBUG -> Training segment 295 slice(7080, 7104, None)\n", + "( 22.59 sec) ARMA : DEBUG -> Training...\n", + "( 22.59 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.59 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.59 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.59 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.59 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.60 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.60 sec) Clustered ROM : DEBUG -> Training segment 296 slice(7104, 7128, None)\n", + "( 22.60 sec) ARMA : DEBUG -> Training...\n", + "( 22.60 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.60 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.61 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.61 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.61 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.62 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.62 sec) Clustered ROM : DEBUG -> Training segment 297 slice(7128, 7152, None)\n", + "( 22.62 sec) ARMA : DEBUG -> Training...\n", + "( 22.62 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.62 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.62 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.62 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.62 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.63 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.63 sec) Clustered ROM : DEBUG -> Training segment 298 slice(7152, 7176, None)\n", + "( 22.63 sec) ARMA : DEBUG -> Training...\n", + "( 22.63 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.63 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.63 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.63 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.63 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.64 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.64 sec) Clustered ROM : DEBUG -> Training segment 299 slice(7176, 7200, None)\n", + "( 22.64 sec) ARMA : DEBUG -> Training...\n", + "( 22.64 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.64 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.64 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.64 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.64 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.65 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.65 sec) Clustered ROM : DEBUG -> Training segment 300 slice(7200, 7224, None)\n", + "( 22.65 sec) ARMA : DEBUG -> Training...\n", + "( 22.65 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.65 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.65 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.65 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.65 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.67 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.67 sec) Clustered ROM : DEBUG -> Training segment 301 slice(7224, 7248, None)\n", + "( 22.67 sec) ARMA : DEBUG -> Training...\n", + "( 22.67 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.67 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.67 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.67 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.67 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.68 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.68 sec) Clustered ROM : DEBUG -> Training segment 302 slice(7248, 7272, None)\n", + "( 22.68 sec) ARMA : DEBUG -> Training...\n", + "( 22.68 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.68 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.68 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.68 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.68 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.69 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.69 sec) Clustered ROM : DEBUG -> Training segment 303 slice(7272, 7296, None)\n", + "( 22.69 sec) ARMA : DEBUG -> Training...\n", + "( 22.69 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.69 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.69 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.69 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.69 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.70 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.70 sec) Clustered ROM : DEBUG -> Training segment 304 slice(7296, 7320, None)\n", + "( 22.70 sec) ARMA : DEBUG -> Training...\n", + "( 22.70 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.70 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.70 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.71 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.71 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.72 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.72 sec) Clustered ROM : DEBUG -> Training segment 305 slice(7320, 7344, None)\n", + "( 22.72 sec) ARMA : DEBUG -> Training...\n", + "( 22.72 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.72 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.72 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.72 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.72 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.75 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.75 sec) Clustered ROM : DEBUG -> Training segment 306 slice(7344, 7368, None)\n", + "( 22.75 sec) ARMA : DEBUG -> Training...\n", + "( 22.75 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.75 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.75 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.75 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.75 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.76 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.76 sec) Clustered ROM : DEBUG -> Training segment 307 slice(7368, 7392, None)\n", + "( 22.76 sec) ARMA : DEBUG -> Training...\n", + "( 22.76 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.76 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.76 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.76 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.77 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.78 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.78 sec) Clustered ROM : DEBUG -> Training segment 308 slice(7392, 7416, None)\n", + "( 22.78 sec) ARMA : DEBUG -> Training...\n", + "( 22.78 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.78 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.78 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.78 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.78 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.78 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.78 sec) Clustered ROM : DEBUG -> Training segment 309 slice(7416, 7440, None)\n", + "( 22.78 sec) ARMA : DEBUG -> Training...\n", + "( 22.78 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.78 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.78 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.78 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.78 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.82 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.82 sec) Clustered ROM : DEBUG -> Training segment 310 slice(7440, 7464, None)\n", + "( 22.82 sec) ARMA : DEBUG -> Training...\n", + "( 22.82 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.82 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.82 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.82 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.82 sec) Clustered ROM : DEBUG -> Training segment 311 slice(7464, 7488, None)\n", + "( 22.82 sec) ARMA : DEBUG -> Training...\n", + "( 22.82 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.82 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.82 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.84 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.84 sec) Clustered ROM : DEBUG -> Training segment 312 slice(7488, 7512, None)\n", + "( 22.84 sec) ARMA : DEBUG -> Training...\n", + "( 22.84 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.84 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.84 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.84 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.84 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.85 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.85 sec) Clustered ROM : DEBUG -> Training segment 313 slice(7512, 7536, None)\n", + "( 22.85 sec) ARMA : DEBUG -> Training...\n", + "( 22.85 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.85 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.85 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.85 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.85 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.89 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.89 sec) Clustered ROM : DEBUG -> Training segment 314 slice(7536, 7560, None)\n", + "( 22.89 sec) ARMA : DEBUG -> Training...\n", + "( 22.89 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.89 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.89 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.89 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.89 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.91 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.91 sec) Clustered ROM : DEBUG -> Training segment 315 slice(7560, 7584, None)\n", + "( 22.91 sec) ARMA : DEBUG -> Training...\n", + "( 22.91 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.91 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.91 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.91 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.91 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.93 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.93 sec) Clustered ROM : DEBUG -> Training segment 316 slice(7584, 7608, None)\n", + "( 22.93 sec) ARMA : DEBUG -> Training...\n", + "( 22.93 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.93 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.93 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.93 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.93 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.94 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.94 sec) Clustered ROM : DEBUG -> Training segment 317 slice(7608, 7632, None)\n", + "( 22.94 sec) ARMA : DEBUG -> Training...\n", + "( 22.94 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.94 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.94 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.94 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.94 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.95 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.95 sec) Clustered ROM : DEBUG -> Training segment 318 slice(7632, 7656, None)\n", + "( 22.95 sec) ARMA : DEBUG -> Training...\n", + "( 22.95 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.95 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.95 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.95 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.96 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.96 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.96 sec) Clustered ROM : DEBUG -> Training segment 319 slice(7656, 7680, None)\n", + "( 22.96 sec) ARMA : DEBUG -> Training...\n", + "( 22.96 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.96 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.96 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.96 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.96 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.97 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.97 sec) Clustered ROM : DEBUG -> Training segment 320 slice(7680, 7704, None)\n", + "( 22.97 sec) ARMA : DEBUG -> Training...\n", + "( 22.97 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.97 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.97 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.97 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.97 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.98 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.98 sec) Clustered ROM : DEBUG -> Training segment 321 slice(7704, 7728, None)\n", + "( 22.98 sec) ARMA : DEBUG -> Training...\n", + "( 22.98 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.98 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.98 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.98 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 22.98 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 22.99 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 22.99 sec) Clustered ROM : DEBUG -> Training segment 322 slice(7728, 7752, None)\n", + "( 22.99 sec) ARMA : DEBUG -> Training...\n", + "( 22.99 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 22.99 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 22.99 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 22.99 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.00 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.00 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.00 sec) Clustered ROM : DEBUG -> Training segment 323 slice(7752, 7776, None)\n", + "( 23.00 sec) ARMA : DEBUG -> Training...\n", + "( 23.00 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.00 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.00 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.00 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.00 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.01 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.01 sec) Clustered ROM : DEBUG -> Training segment 324 slice(7776, 7800, None)\n", + "( 23.01 sec) ARMA : DEBUG -> Training...\n", + "( 23.01 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.01 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.01 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.01 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.01 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.02 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.03 sec) Clustered ROM : DEBUG -> Training segment 325 slice(7800, 7824, None)\n", + "( 23.03 sec) ARMA : DEBUG -> Training...\n", + "( 23.03 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.03 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.03 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.03 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.03 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.04 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.04 sec) Clustered ROM : DEBUG -> Training segment 326 slice(7824, 7848, None)\n", + "( 23.04 sec) ARMA : DEBUG -> Training...\n", + "( 23.04 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.04 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.04 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.04 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.04 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.05 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.05 sec) Clustered ROM : DEBUG -> Training segment 327 slice(7848, 7872, None)\n", + "( 23.05 sec) ARMA : DEBUG -> Training...\n", + "( 23.05 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.05 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.05 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.05 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.05 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.08 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.08 sec) Clustered ROM : DEBUG -> Training segment 328 slice(7872, 7896, None)\n", + "( 23.08 sec) ARMA : DEBUG -> Training...\n", + "( 23.08 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.08 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.08 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.08 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.08 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.10 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.10 sec) Clustered ROM : DEBUG -> Training segment 329 slice(7896, 7920, None)\n", + "( 23.10 sec) ARMA : DEBUG -> Training...\n", + "( 23.10 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.10 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.10 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.10 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.10 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.11 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.11 sec) Clustered ROM : DEBUG -> Training segment 330 slice(7920, 7944, None)\n", + "( 23.11 sec) ARMA : DEBUG -> Training...\n", + "( 23.11 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.11 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.11 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.11 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.11 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.12 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.12 sec) Clustered ROM : DEBUG -> Training segment 331 slice(7944, 7968, None)\n", + "( 23.12 sec) ARMA : DEBUG -> Training...\n", + "( 23.12 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.12 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.12 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.12 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.12 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.13 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.13 sec) Clustered ROM : DEBUG -> Training segment 332 slice(7968, 7992, None)\n", + "( 23.13 sec) ARMA : DEBUG -> Training...\n", + "( 23.13 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.13 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.13 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.13 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.13 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.15 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.15 sec) Clustered ROM : DEBUG -> Training segment 333 slice(7992, 8016, None)\n", + "( 23.15 sec) ARMA : DEBUG -> Training...\n", + "( 23.15 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.15 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.15 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.15 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.15 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.16 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.16 sec) Clustered ROM : DEBUG -> Training segment 334 slice(8016, 8040, None)\n", + "( 23.16 sec) ARMA : DEBUG -> Training...\n", + "( 23.16 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.16 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.16 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.16 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.16 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.20 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.20 sec) Clustered ROM : DEBUG -> Training segment 335 slice(8040, 8064, None)\n", + "( 23.20 sec) ARMA : DEBUG -> Training...\n", + "( 23.20 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.20 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.20 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.20 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.21 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.22 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.22 sec) Clustered ROM : DEBUG -> Training segment 336 slice(8064, 8088, None)\n", + "( 23.22 sec) ARMA : DEBUG -> Training...\n", + "( 23.22 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.22 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.22 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.22 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.22 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.24 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.24 sec) Clustered ROM : DEBUG -> Training segment 337 slice(8088, 8112, None)\n", + "( 23.24 sec) ARMA : DEBUG -> Training...\n", + "( 23.24 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.24 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.24 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.24 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.24 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.26 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.26 sec) Clustered ROM : DEBUG -> Training segment 338 slice(8112, 8136, None)\n", + "( 23.26 sec) ARMA : DEBUG -> Training...\n", + "( 23.26 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.26 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.26 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.26 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.26 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.28 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.28 sec) Clustered ROM : DEBUG -> Training segment 339 slice(8136, 8160, None)\n", + "( 23.28 sec) ARMA : DEBUG -> Training...\n", + "( 23.28 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.28 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.28 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.28 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.28 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.29 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.29 sec) Clustered ROM : DEBUG -> Training segment 340 slice(8160, 8184, None)\n", + "( 23.29 sec) ARMA : DEBUG -> Training...\n", + "( 23.29 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.29 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.29 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.29 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.29 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.30 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.31 sec) Clustered ROM : DEBUG -> Training segment 341 slice(8184, 8208, None)\n", + "( 23.31 sec) ARMA : DEBUG -> Training...\n", + "( 23.31 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.31 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.31 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.31 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.31 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.31 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.31 sec) Clustered ROM : DEBUG -> Training segment 342 slice(8208, 8232, None)\n", + "( 23.31 sec) ARMA : DEBUG -> Training...\n", + "( 23.31 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.31 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.31 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.31 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.32 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.35 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.35 sec) Clustered ROM : DEBUG -> Training segment 343 slice(8232, 8256, None)\n", + "( 23.35 sec) ARMA : DEBUG -> Training...\n", + "( 23.35 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.35 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.35 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.35 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.35 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.35 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.35 sec) Clustered ROM : DEBUG -> Training segment 344 slice(8256, 8280, None)\n", + "( 23.35 sec) ARMA : DEBUG -> Training...\n", + "( 23.35 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.35 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.35 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.35 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.35 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.36 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.36 sec) Clustered ROM : DEBUG -> Training segment 345 slice(8280, 8304, None)\n", + "( 23.36 sec) ARMA : DEBUG -> Training...\n", + "( 23.36 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.36 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.36 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.36 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.36 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.37 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.38 sec) Clustered ROM : DEBUG -> Training segment 346 slice(8304, 8328, None)\n", + "( 23.38 sec) ARMA : DEBUG -> Training...\n", + "( 23.38 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.38 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.38 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.38 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.38 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.39 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.39 sec) Clustered ROM : DEBUG -> Training segment 347 slice(8328, 8352, None)\n", + "( 23.39 sec) ARMA : DEBUG -> Training...\n", + "( 23.39 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.39 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.39 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.39 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.39 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.39 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.39 sec) Clustered ROM : DEBUG -> Training segment 348 slice(8352, 8376, None)\n", + "( 23.39 sec) ARMA : DEBUG -> Training...\n", + "( 23.39 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.39 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.39 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.39 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.39 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.40 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.40 sec) Clustered ROM : DEBUG -> Training segment 349 slice(8376, 8400, None)\n", + "( 23.40 sec) ARMA : DEBUG -> Training...\n", + "( 23.40 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.40 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.40 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.40 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.41 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.42 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.42 sec) Clustered ROM : DEBUG -> Training segment 350 slice(8400, 8424, None)\n", + "( 23.42 sec) ARMA : DEBUG -> Training...\n", + "( 23.42 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.42 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.42 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.42 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.42 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.43 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.43 sec) Clustered ROM : DEBUG -> Training segment 351 slice(8424, 8448, None)\n", + "( 23.43 sec) ARMA : DEBUG -> Training...\n", + "( 23.43 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.43 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.43 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.43 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.43 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.44 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.44 sec) Clustered ROM : DEBUG -> Training segment 352 slice(8448, 8472, None)\n", + "( 23.44 sec) ARMA : DEBUG -> Training...\n", + "( 23.44 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.44 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.44 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.44 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.44 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.46 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.46 sec) Clustered ROM : DEBUG -> Training segment 353 slice(8472, 8496, None)\n", + "( 23.46 sec) ARMA : DEBUG -> Training...\n", + "( 23.46 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.46 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.46 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.46 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.46 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.46 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.46 sec) Clustered ROM : DEBUG -> Training segment 354 slice(8496, 8520, None)\n", + "( 23.46 sec) ARMA : DEBUG -> Training...\n", + "( 23.46 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.46 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.46 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.46 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.46 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.47 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.47 sec) Clustered ROM : DEBUG -> Training segment 355 slice(8520, 8544, None)\n", + "( 23.47 sec) ARMA : DEBUG -> Training...\n", + "( 23.47 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.47 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.47 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.47 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.47 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.48 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.48 sec) Clustered ROM : DEBUG -> Training segment 356 slice(8544, 8568, None)\n", + "( 23.48 sec) ARMA : DEBUG -> Training...\n", + "( 23.48 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.48 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.48 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.48 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.49 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.50 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.50 sec) Clustered ROM : DEBUG -> Training segment 357 slice(8568, 8592, None)\n", + "( 23.50 sec) ARMA : DEBUG -> Training...\n", + "( 23.50 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.50 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.50 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.50 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.50 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.51 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.51 sec) Clustered ROM : DEBUG -> Training segment 358 slice(8592, 8616, None)\n", + "( 23.51 sec) ARMA : DEBUG -> Training...\n", + "( 23.51 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.51 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.51 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.51 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.51 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.51 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.51 sec) Clustered ROM : DEBUG -> Training segment 359 slice(8616, 8640, None)\n", + "( 23.51 sec) ARMA : DEBUG -> Training...\n", + "( 23.51 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.51 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.51 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.52 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.52 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.53 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.53 sec) Clustered ROM : DEBUG -> Training segment 360 slice(8640, 8664, None)\n", + "( 23.53 sec) ARMA : DEBUG -> Training...\n", + "( 23.53 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.53 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.53 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.53 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.53 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.56 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.56 sec) Clustered ROM : DEBUG -> Training segment 361 slice(8664, 8688, None)\n", + "( 23.56 sec) ARMA : DEBUG -> Training...\n", + "( 23.56 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.56 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.56 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.56 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.56 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.59 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.59 sec) Clustered ROM : DEBUG -> Training segment 362 slice(8688, 8712, None)\n", + "( 23.59 sec) ARMA : DEBUG -> Training...\n", + "( 23.59 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.59 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.59 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.59 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.59 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.60 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.60 sec) Clustered ROM : DEBUG -> Training segment 363 slice(8712, 8736, None)\n", + "( 23.60 sec) ARMA : DEBUG -> Training...\n", + "( 23.60 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.60 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.60 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.60 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.60 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.61 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.61 sec) Clustered ROM : DEBUG -> Training segment 364 slice(8736, 8760, None)\n", + "( 23.61 sec) ARMA : DEBUG -> Training...\n", + "( 23.61 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.61 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.61 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.61 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.61 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.62 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.67 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 23.67 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 23.72 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 23.72 sec) Interp. Cluster ROM : DEBUG -> Training Statepoint Year 4 ...\n", + "( 23.72 sec) Clustered ROM : DEBUG -> Training segmented subspaces for \"arma\" ...\n", + "( 23.72 sec) Clustered ROM : DEBUG -> Dividing hour into 365 divisions for training ...\n", + "DEBUGG no ZF here!\n", + "( 23.73 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.73 sec) Clustered ROM : DEBUG -> Training segment 0 slice(0, 24, None)\n", + "( 23.73 sec) ARMA : DEBUG -> Training...\n", + "( 23.73 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.73 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.73 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.74 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.74 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.77 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.77 sec) Clustered ROM : DEBUG -> Training segment 1 slice(24, 48, None)\n", + "( 23.77 sec) ARMA : DEBUG -> Training...\n", + "( 23.77 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.77 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.77 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.77 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.77 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.78 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.78 sec) Clustered ROM : DEBUG -> Training segment 2 slice(48, 72, None)\n", + "( 23.78 sec) ARMA : DEBUG -> Training...\n", + "( 23.78 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.78 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.78 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.78 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.78 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.79 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.79 sec) Clustered ROM : DEBUG -> Training segment 3 slice(72, 96, None)\n", + "( 23.79 sec) ARMA : DEBUG -> Training...\n", + "( 23.79 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.79 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.80 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.80 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.80 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.81 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.81 sec) Clustered ROM : DEBUG -> Training segment 4 slice(96, 120, None)\n", + "( 23.81 sec) ARMA : DEBUG -> Training...\n", + "( 23.81 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.81 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.81 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.81 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.81 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.82 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.82 sec) Clustered ROM : DEBUG -> Training segment 5 slice(120, 144, None)\n", + "( 23.82 sec) ARMA : DEBUG -> Training...\n", + "( 23.82 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.82 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.82 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.83 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.83 sec) Clustered ROM : DEBUG -> Training segment 6 slice(144, 168, None)\n", + "( 23.83 sec) ARMA : DEBUG -> Training...\n", + "( 23.83 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.83 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.83 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.83 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.83 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.83 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.84 sec) Clustered ROM : DEBUG -> Training segment 7 slice(168, 192, None)\n", + "( 23.84 sec) ARMA : DEBUG -> Training...\n", + "( 23.84 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.84 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.84 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.84 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.84 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.85 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.85 sec) Clustered ROM : DEBUG -> Training segment 8 slice(192, 216, None)\n", + "( 23.85 sec) ARMA : DEBUG -> Training...\n", + "( 23.85 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.85 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.85 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.85 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.85 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.86 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.86 sec) Clustered ROM : DEBUG -> Training segment 9 slice(216, 240, None)\n", + "( 23.86 sec) ARMA : DEBUG -> Training...\n", + "( 23.86 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.86 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.86 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.86 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.86 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.87 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.87 sec) Clustered ROM : DEBUG -> Training segment 10 slice(240, 264, None)\n", + "( 23.87 sec) ARMA : DEBUG -> Training...\n", + "( 23.87 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.87 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.87 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.87 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.87 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.88 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.88 sec) Clustered ROM : DEBUG -> Training segment 11 slice(264, 288, None)\n", + "( 23.88 sec) ARMA : DEBUG -> Training...\n", + "( 23.88 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.88 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.88 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.88 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.88 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.89 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.89 sec) Clustered ROM : DEBUG -> Training segment 12 slice(288, 312, None)\n", + "( 23.89 sec) ARMA : DEBUG -> Training...\n", + "( 23.89 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.89 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.90 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.90 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.90 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.91 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.91 sec) Clustered ROM : DEBUG -> Training segment 13 slice(312, 336, None)\n", + "( 23.91 sec) ARMA : DEBUG -> Training...\n", + "( 23.91 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.91 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.91 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.91 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.91 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.91 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.91 sec) Clustered ROM : DEBUG -> Training segment 14 slice(336, 360, None)\n", + "( 23.91 sec) ARMA : DEBUG -> Training...\n", + "( 23.91 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.91 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.91 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.91 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.91 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.92 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.92 sec) Clustered ROM : DEBUG -> Training segment 15 slice(360, 384, None)\n", + "( 23.92 sec) ARMA : DEBUG -> Training...\n", + "( 23.92 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.92 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.92 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.92 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.92 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.94 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.94 sec) Clustered ROM : DEBUG -> Training segment 16 slice(384, 408, None)\n", + "( 23.94 sec) ARMA : DEBUG -> Training...\n", + "( 23.94 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.94 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.94 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.94 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.94 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.95 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.95 sec) Clustered ROM : DEBUG -> Training segment 17 slice(408, 432, None)\n", + "( 23.95 sec) ARMA : DEBUG -> Training...\n", + "( 23.95 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.95 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.95 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.95 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.96 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 23.98 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 23.98 sec) Clustered ROM : DEBUG -> Training segment 18 slice(432, 456, None)\n", + "( 23.98 sec) ARMA : DEBUG -> Training...\n", + "( 23.98 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 23.98 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 23.98 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 23.98 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 23.98 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.00 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.00 sec) Clustered ROM : DEBUG -> Training segment 19 slice(456, 480, None)\n", + "( 24.00 sec) ARMA : DEBUG -> Training...\n", + "( 24.00 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.00 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.00 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.00 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.00 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.00 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.00 sec) Clustered ROM : DEBUG -> Training segment 20 slice(480, 504, None)\n", + "( 24.00 sec) ARMA : DEBUG -> Training...\n", + "( 24.00 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.00 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.00 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.00 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.00 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.01 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.01 sec) Clustered ROM : DEBUG -> Training segment 21 slice(504, 528, None)\n", + "( 24.01 sec) ARMA : DEBUG -> Training...\n", + "( 24.01 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.01 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.01 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.01 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.01 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.02 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.02 sec) Clustered ROM : DEBUG -> Training segment 22 slice(528, 552, None)\n", + "( 24.02 sec) ARMA : DEBUG -> Training...\n", + "( 24.02 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.02 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.02 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.02 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.02 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.04 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.04 sec) Clustered ROM : DEBUG -> Training segment 23 slice(552, 576, None)\n", + "( 24.04 sec) ARMA : DEBUG -> Training...\n", + "( 24.04 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.04 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.04 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.04 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.04 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.04 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.05 sec) Clustered ROM : DEBUG -> Training segment 24 slice(576, 600, None)\n", + "( 24.05 sec) ARMA : DEBUG -> Training...\n", + "( 24.05 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.05 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.05 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.05 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.05 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.06 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.06 sec) Clustered ROM : DEBUG -> Training segment 25 slice(600, 624, None)\n", + "( 24.06 sec) ARMA : DEBUG -> Training...\n", + "( 24.06 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.06 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.06 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.06 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.06 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.07 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.07 sec) Clustered ROM : DEBUG -> Training segment 26 slice(624, 648, None)\n", + "( 24.07 sec) ARMA : DEBUG -> Training...\n", + "( 24.07 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.07 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.07 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.07 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.07 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.08 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.08 sec) Clustered ROM : DEBUG -> Training segment 27 slice(648, 672, None)\n", + "( 24.08 sec) ARMA : DEBUG -> Training...\n", + "( 24.08 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.08 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.08 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.08 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.08 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.09 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.09 sec) Clustered ROM : DEBUG -> Training segment 28 slice(672, 696, None)\n", + "( 24.09 sec) ARMA : DEBUG -> Training...\n", + "( 24.09 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.09 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.09 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.09 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.09 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.13 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.13 sec) Clustered ROM : DEBUG -> Training segment 29 slice(696, 720, None)\n", + "( 24.13 sec) ARMA : DEBUG -> Training...\n", + "( 24.13 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.13 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.13 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.13 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.13 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.17 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.17 sec) Clustered ROM : DEBUG -> Training segment 30 slice(720, 744, None)\n", + "( 24.17 sec) ARMA : DEBUG -> Training...\n", + "( 24.17 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.17 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.17 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.17 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.17 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.20 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.20 sec) Clustered ROM : DEBUG -> Training segment 31 slice(744, 768, None)\n", + "( 24.20 sec) ARMA : DEBUG -> Training...\n", + "( 24.20 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.20 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.20 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.20 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.21 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.22 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.22 sec) Clustered ROM : DEBUG -> Training segment 32 slice(768, 792, None)\n", + "( 24.22 sec) ARMA : DEBUG -> Training...\n", + "( 24.22 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.22 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.22 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.22 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.22 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.24 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.24 sec) Clustered ROM : DEBUG -> Training segment 33 slice(792, 816, None)\n", + "( 24.24 sec) ARMA : DEBUG -> Training...\n", + "( 24.24 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.24 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.24 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.24 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.24 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.25 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.26 sec) Clustered ROM : DEBUG -> Training segment 34 slice(816, 840, None)\n", + "( 24.26 sec) ARMA : DEBUG -> Training...\n", + "( 24.26 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.26 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.26 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.26 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.26 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.27 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.27 sec) Clustered ROM : DEBUG -> Training segment 35 slice(840, 864, None)\n", + "( 24.27 sec) ARMA : DEBUG -> Training...\n", + "( 24.27 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.27 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.27 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.27 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.27 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.28 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.28 sec) Clustered ROM : DEBUG -> Training segment 36 slice(864, 888, None)\n", + "( 24.28 sec) ARMA : DEBUG -> Training...\n", + "( 24.28 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.28 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.28 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.28 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.28 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.29 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.29 sec) Clustered ROM : DEBUG -> Training segment 37 slice(888, 912, None)\n", + "( 24.29 sec) ARMA : DEBUG -> Training...\n", + "( 24.29 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.29 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.29 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.29 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.29 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.31 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.31 sec) Clustered ROM : DEBUG -> Training segment 38 slice(912, 936, None)\n", + "( 24.31 sec) ARMA : DEBUG -> Training...\n", + "( 24.31 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.31 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.31 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.31 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.31 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.33 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.33 sec) Clustered ROM : DEBUG -> Training segment 39 slice(936, 960, None)\n", + "( 24.33 sec) ARMA : DEBUG -> Training...\n", + "( 24.33 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.33 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.33 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.33 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.33 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.37 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.37 sec) Clustered ROM : DEBUG -> Training segment 40 slice(960, 984, None)\n", + "( 24.37 sec) ARMA : DEBUG -> Training...\n", + "( 24.37 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.37 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.37 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.37 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.37 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.39 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.39 sec) Clustered ROM : DEBUG -> Training segment 41 slice(984, 1008, None)\n", + "( 24.39 sec) ARMA : DEBUG -> Training...\n", + "( 24.39 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.39 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.39 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.39 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.39 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.40 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.40 sec) Clustered ROM : DEBUG -> Training segment 42 slice(1008, 1032, None)\n", + "( 24.40 sec) ARMA : DEBUG -> Training...\n", + "( 24.40 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.40 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.40 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.40 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.40 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.40 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.40 sec) Clustered ROM : DEBUG -> Training segment 43 slice(1032, 1056, None)\n", + "( 24.40 sec) ARMA : DEBUG -> Training...\n", + "( 24.40 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.40 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.40 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.40 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.40 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.44 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.44 sec) Clustered ROM : DEBUG -> Training segment 44 slice(1056, 1080, None)\n", + "( 24.44 sec) ARMA : DEBUG -> Training...\n", + "( 24.44 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.44 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.44 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.44 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.44 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.45 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.45 sec) Clustered ROM : DEBUG -> Training segment 45 slice(1080, 1104, None)\n", + "( 24.45 sec) ARMA : DEBUG -> Training...\n", + "( 24.45 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.45 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.45 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.45 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.45 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.45 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.45 sec) Clustered ROM : DEBUG -> Training segment 46 slice(1104, 1128, None)\n", + "( 24.45 sec) ARMA : DEBUG -> Training...\n", + "( 24.45 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.45 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.45 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.46 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.46 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.47 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.47 sec) Clustered ROM : DEBUG -> Training segment 47 slice(1128, 1152, None)\n", + "( 24.47 sec) ARMA : DEBUG -> Training...\n", + "( 24.47 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.47 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.47 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.47 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.47 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.48 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.48 sec) Clustered ROM : DEBUG -> Training segment 48 slice(1152, 1176, None)\n", + "( 24.48 sec) ARMA : DEBUG -> Training...\n", + "( 24.48 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.48 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.48 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.48 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.49 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.49 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.49 sec) Clustered ROM : DEBUG -> Training segment 49 slice(1176, 1200, None)\n", + "( 24.49 sec) ARMA : DEBUG -> Training...\n", + "( 24.49 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.49 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.49 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.49 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.49 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.50 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.50 sec) Clustered ROM : DEBUG -> Training segment 50 slice(1200, 1224, None)\n", + "( 24.50 sec) ARMA : DEBUG -> Training...\n", + "( 24.50 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.50 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.50 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.50 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.50 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.52 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.52 sec) Clustered ROM : DEBUG -> Training segment 51 slice(1224, 1248, None)\n", + "( 24.52 sec) ARMA : DEBUG -> Training...\n", + "( 24.52 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.52 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.52 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.52 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.52 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.53 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.53 sec) Clustered ROM : DEBUG -> Training segment 52 slice(1248, 1272, None)\n", + "( 24.53 sec) ARMA : DEBUG -> Training...\n", + "( 24.53 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.53 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.53 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.53 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.53 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.54 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.54 sec) Clustered ROM : DEBUG -> Training segment 53 slice(1272, 1296, None)\n", + "( 24.54 sec) ARMA : DEBUG -> Training...\n", + "( 24.54 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.54 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.54 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.54 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.54 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.55 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.55 sec) Clustered ROM : DEBUG -> Training segment 54 slice(1296, 1320, None)\n", + "( 24.55 sec) ARMA : DEBUG -> Training...\n", + "( 24.55 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.55 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.55 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.55 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.55 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.56 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.56 sec) Clustered ROM : DEBUG -> Training segment 55 slice(1320, 1344, None)\n", + "( 24.56 sec) ARMA : DEBUG -> Training...\n", + "( 24.56 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.56 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.56 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.56 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.56 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.57 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.57 sec) Clustered ROM : DEBUG -> Training segment 56 slice(1344, 1368, None)\n", + "( 24.57 sec) ARMA : DEBUG -> Training...\n", + "( 24.57 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.57 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.57 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.57 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.57 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.58 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.58 sec) Clustered ROM : DEBUG -> Training segment 57 slice(1368, 1392, None)\n", + "( 24.58 sec) ARMA : DEBUG -> Training...\n", + "( 24.58 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.58 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.58 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.58 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.58 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.59 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.59 sec) Clustered ROM : DEBUG -> Training segment 58 slice(1392, 1416, None)\n", + "( 24.59 sec) ARMA : DEBUG -> Training...\n", + "( 24.59 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.59 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.59 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.59 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.59 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.60 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.60 sec) Clustered ROM : DEBUG -> Training segment 59 slice(1416, 1440, None)\n", + "( 24.60 sec) ARMA : DEBUG -> Training...\n", + "( 24.60 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.60 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.60 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.60 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.60 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.62 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.62 sec) Clustered ROM : DEBUG -> Training segment 60 slice(1440, 1464, None)\n", + "( 24.62 sec) ARMA : DEBUG -> Training...\n", + "( 24.62 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.62 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.62 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.62 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.62 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.65 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.65 sec) Clustered ROM : DEBUG -> Training segment 61 slice(1464, 1488, None)\n", + "( 24.65 sec) ARMA : DEBUG -> Training...\n", + "( 24.65 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.65 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.65 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.65 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.65 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.68 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.68 sec) Clustered ROM : DEBUG -> Training segment 62 slice(1488, 1512, None)\n", + "( 24.68 sec) ARMA : DEBUG -> Training...\n", + "( 24.68 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.68 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.68 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.68 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.68 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.69 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.69 sec) Clustered ROM : DEBUG -> Training segment 63 slice(1512, 1536, None)\n", + "( 24.69 sec) ARMA : DEBUG -> Training...\n", + "( 24.69 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.69 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.69 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.69 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.69 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.70 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.71 sec) Clustered ROM : DEBUG -> Training segment 64 slice(1536, 1560, None)\n", + "( 24.71 sec) ARMA : DEBUG -> Training...\n", + "( 24.71 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.71 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.71 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.71 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.71 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.72 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.72 sec) Clustered ROM : DEBUG -> Training segment 65 slice(1560, 1584, None)\n", + "( 24.72 sec) ARMA : DEBUG -> Training...\n", + "( 24.72 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.72 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.72 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.72 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.72 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.75 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.76 sec) Clustered ROM : DEBUG -> Training segment 66 slice(1584, 1608, None)\n", + "( 24.76 sec) ARMA : DEBUG -> Training...\n", + "( 24.76 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.76 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.76 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.76 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.76 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.76 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.76 sec) Clustered ROM : DEBUG -> Training segment 67 slice(1608, 1632, None)\n", + "( 24.76 sec) ARMA : DEBUG -> Training...\n", + "( 24.76 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.76 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.76 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.76 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.76 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.77 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.77 sec) Clustered ROM : DEBUG -> Training segment 68 slice(1632, 1656, None)\n", + "( 24.78 sec) ARMA : DEBUG -> Training...\n", + "( 24.78 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.78 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.78 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.78 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.78 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.79 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.79 sec) Clustered ROM : DEBUG -> Training segment 69 slice(1656, 1680, None)\n", + "( 24.79 sec) ARMA : DEBUG -> Training...\n", + "( 24.79 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.79 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.79 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.79 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.79 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.81 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.81 sec) Clustered ROM : DEBUG -> Training segment 70 slice(1680, 1704, None)\n", + "( 24.81 sec) ARMA : DEBUG -> Training...\n", + "( 24.81 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.81 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.81 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.81 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.81 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.81 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.81 sec) Clustered ROM : DEBUG -> Training segment 71 slice(1704, 1728, None)\n", + "( 24.81 sec) ARMA : DEBUG -> Training...\n", + "( 24.81 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.81 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.81 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.83 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.83 sec) Clustered ROM : DEBUG -> Training segment 72 slice(1728, 1752, None)\n", + "( 24.83 sec) ARMA : DEBUG -> Training...\n", + "( 24.83 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.83 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.83 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.83 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.83 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.85 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.85 sec) Clustered ROM : DEBUG -> Training segment 73 slice(1752, 1776, None)\n", + "( 24.85 sec) ARMA : DEBUG -> Training...\n", + "( 24.85 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.85 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.85 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.85 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.85 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.86 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.86 sec) Clustered ROM : DEBUG -> Training segment 74 slice(1776, 1800, None)\n", + "( 24.86 sec) ARMA : DEBUG -> Training...\n", + "( 24.86 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.86 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.86 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.86 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.86 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.87 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.87 sec) Clustered ROM : DEBUG -> Training segment 75 slice(1800, 1824, None)\n", + "( 24.87 sec) ARMA : DEBUG -> Training...\n", + "( 24.87 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.87 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.87 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.87 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.87 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.89 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.89 sec) Clustered ROM : DEBUG -> Training segment 76 slice(1824, 1848, None)\n", + "( 24.89 sec) ARMA : DEBUG -> Training...\n", + "( 24.89 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.89 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.89 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.89 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.89 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.93 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.93 sec) Clustered ROM : DEBUG -> Training segment 77 slice(1848, 1872, None)\n", + "( 24.93 sec) ARMA : DEBUG -> Training...\n", + "( 24.93 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.93 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.93 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.93 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.93 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.93 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.93 sec) Clustered ROM : DEBUG -> Training segment 78 slice(1872, 1896, None)\n", + "( 24.93 sec) ARMA : DEBUG -> Training...\n", + "( 24.93 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.93 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.93 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.93 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.93 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.95 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.95 sec) Clustered ROM : DEBUG -> Training segment 79 slice(1896, 1920, None)\n", + "( 24.95 sec) ARMA : DEBUG -> Training...\n", + "( 24.95 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.95 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.95 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.95 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.95 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.96 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.96 sec) Clustered ROM : DEBUG -> Training segment 80 slice(1920, 1944, None)\n", + "( 24.96 sec) ARMA : DEBUG -> Training...\n", + "( 24.96 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.96 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.96 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.96 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.96 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.97 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.97 sec) Clustered ROM : DEBUG -> Training segment 81 slice(1944, 1968, None)\n", + "( 24.97 sec) ARMA : DEBUG -> Training...\n", + "( 24.97 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.97 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.97 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.97 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.97 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.98 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.98 sec) Clustered ROM : DEBUG -> Training segment 82 slice(1968, 1992, None)\n", + "( 24.98 sec) ARMA : DEBUG -> Training...\n", + "( 24.98 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.98 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.98 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.98 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.98 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 24.99 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 24.99 sec) Clustered ROM : DEBUG -> Training segment 83 slice(1992, 2016, None)\n", + "( 24.99 sec) ARMA : DEBUG -> Training...\n", + "( 24.99 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 24.99 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 24.99 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 24.99 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 24.99 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.00 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.00 sec) Clustered ROM : DEBUG -> Training segment 84 slice(2016, 2040, None)\n", + "( 25.00 sec) ARMA : DEBUG -> Training...\n", + "( 25.00 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.00 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.00 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.00 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.01 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.02 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.02 sec) Clustered ROM : DEBUG -> Training segment 85 slice(2040, 2064, None)\n", + "( 25.02 sec) ARMA : DEBUG -> Training...\n", + "( 25.02 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.02 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.02 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.02 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.02 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.02 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.02 sec) Clustered ROM : DEBUG -> Training segment 86 slice(2064, 2088, None)\n", + "( 25.02 sec) ARMA : DEBUG -> Training...\n", + "( 25.02 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.02 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.02 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.02 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.02 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.06 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.06 sec) Clustered ROM : DEBUG -> Training segment 87 slice(2088, 2112, None)\n", + "( 25.06 sec) ARMA : DEBUG -> Training...\n", + "( 25.06 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.06 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.07 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.07 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.07 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.10 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.10 sec) Clustered ROM : DEBUG -> Training segment 88 slice(2112, 2136, None)\n", + "( 25.10 sec) ARMA : DEBUG -> Training...\n", + "( 25.10 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.10 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.10 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.10 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.10 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.11 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.11 sec) Clustered ROM : DEBUG -> Training segment 89 slice(2136, 2160, None)\n", + "( 25.11 sec) ARMA : DEBUG -> Training...\n", + "( 25.11 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.11 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.11 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.11 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.11 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.12 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.12 sec) Clustered ROM : DEBUG -> Training segment 90 slice(2160, 2184, None)\n", + "( 25.12 sec) ARMA : DEBUG -> Training...\n", + "( 25.12 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.12 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.12 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.12 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.12 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.13 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.13 sec) Clustered ROM : DEBUG -> Training segment 91 slice(2184, 2208, None)\n", + "( 25.13 sec) ARMA : DEBUG -> Training...\n", + "( 25.13 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.13 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.13 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.13 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.13 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.14 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.14 sec) Clustered ROM : DEBUG -> Training segment 92 slice(2208, 2232, None)\n", + "( 25.14 sec) ARMA : DEBUG -> Training...\n", + "( 25.14 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.14 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.14 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.14 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.15 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.15 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.16 sec) Clustered ROM : DEBUG -> Training segment 93 slice(2232, 2256, None)\n", + "( 25.16 sec) ARMA : DEBUG -> Training...\n", + "( 25.16 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.16 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.16 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.16 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.16 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.16 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.16 sec) Clustered ROM : DEBUG -> Training segment 94 slice(2256, 2280, None)\n", + "( 25.16 sec) ARMA : DEBUG -> Training...\n", + "( 25.16 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.16 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.16 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.16 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.16 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.17 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.17 sec) Clustered ROM : DEBUG -> Training segment 95 slice(2280, 2304, None)\n", + "( 25.17 sec) ARMA : DEBUG -> Training...\n", + "( 25.17 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.17 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.17 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.17 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.17 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.18 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.18 sec) Clustered ROM : DEBUG -> Training segment 96 slice(2304, 2328, None)\n", + "( 25.18 sec) ARMA : DEBUG -> Training...\n", + "( 25.18 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.18 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.18 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.18 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.18 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.19 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.20 sec) Clustered ROM : DEBUG -> Training segment 97 slice(2328, 2352, None)\n", + "( 25.20 sec) ARMA : DEBUG -> Training...\n", + "( 25.20 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.20 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.20 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.20 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.20 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.20 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.20 sec) Clustered ROM : DEBUG -> Training segment 98 slice(2352, 2376, None)\n", + "( 25.20 sec) ARMA : DEBUG -> Training...\n", + "( 25.20 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.20 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.20 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.20 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.20 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.22 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.22 sec) Clustered ROM : DEBUG -> Training segment 99 slice(2376, 2400, None)\n", + "( 25.22 sec) ARMA : DEBUG -> Training...\n", + "( 25.22 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.22 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.22 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.22 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.22 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.23 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.23 sec) Clustered ROM : DEBUG -> Training segment 100 slice(2400, 2424, None)\n", + "( 25.23 sec) ARMA : DEBUG -> Training...\n", + "( 25.23 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.23 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.23 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.23 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.23 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.26 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.26 sec) Clustered ROM : DEBUG -> Training segment 101 slice(2424, 2448, None)\n", + "( 25.26 sec) ARMA : DEBUG -> Training...\n", + "( 25.26 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.26 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.26 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.26 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.26 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.27 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.27 sec) Clustered ROM : DEBUG -> Training segment 102 slice(2448, 2472, None)\n", + "( 25.27 sec) ARMA : DEBUG -> Training...\n", + "( 25.27 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.27 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.27 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.27 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.27 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.29 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.29 sec) Clustered ROM : DEBUG -> Training segment 103 slice(2472, 2496, None)\n", + "( 25.29 sec) ARMA : DEBUG -> Training...\n", + "( 25.29 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.29 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.29 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.29 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.29 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.29 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.29 sec) Clustered ROM : DEBUG -> Training segment 104 slice(2496, 2520, None)\n", + "( 25.29 sec) ARMA : DEBUG -> Training...\n", + "( 25.29 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.29 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.29 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.29 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.29 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.30 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.30 sec) Clustered ROM : DEBUG -> Training segment 105 slice(2520, 2544, None)\n", + "( 25.30 sec) ARMA : DEBUG -> Training...\n", + "( 25.30 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.30 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.30 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.30 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.31 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.33 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.33 sec) Clustered ROM : DEBUG -> Training segment 106 slice(2544, 2568, None)\n", + "( 25.33 sec) ARMA : DEBUG -> Training...\n", + "( 25.33 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.33 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.33 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.33 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.33 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.35 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.35 sec) Clustered ROM : DEBUG -> Training segment 107 slice(2568, 2592, None)\n", + "( 25.35 sec) ARMA : DEBUG -> Training...\n", + "( 25.35 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.35 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.35 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.35 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.35 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.36 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.36 sec) Clustered ROM : DEBUG -> Training segment 108 slice(2592, 2616, None)\n", + "( 25.36 sec) ARMA : DEBUG -> Training...\n", + "( 25.36 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.36 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.36 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.36 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.36 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.37 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.37 sec) Clustered ROM : DEBUG -> Training segment 109 slice(2616, 2640, None)\n", + "( 25.37 sec) ARMA : DEBUG -> Training...\n", + "( 25.37 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.37 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.37 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.37 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.37 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.37 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.38 sec) Clustered ROM : DEBUG -> Training segment 110 slice(2640, 2664, None)\n", + "( 25.38 sec) ARMA : DEBUG -> Training...\n", + "( 25.38 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.38 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.38 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.38 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.38 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.39 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.39 sec) Clustered ROM : DEBUG -> Training segment 111 slice(2664, 2688, None)\n", + "( 25.39 sec) ARMA : DEBUG -> Training...\n", + "( 25.39 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.39 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.39 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.39 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.39 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.40 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.40 sec) Clustered ROM : DEBUG -> Training segment 112 slice(2688, 2712, None)\n", + "( 25.40 sec) ARMA : DEBUG -> Training...\n", + "( 25.40 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.40 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.40 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.40 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.40 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.42 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.42 sec) Clustered ROM : DEBUG -> Training segment 113 slice(2712, 2736, None)\n", + "( 25.42 sec) ARMA : DEBUG -> Training...\n", + "( 25.42 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.42 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.42 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.42 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.42 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.42 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.42 sec) Clustered ROM : DEBUG -> Training segment 114 slice(2736, 2760, None)\n", + "( 25.42 sec) ARMA : DEBUG -> Training...\n", + "( 25.42 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.42 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.42 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.42 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.42 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.44 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.44 sec) Clustered ROM : DEBUG -> Training segment 115 slice(2760, 2784, None)\n", + "( 25.44 sec) ARMA : DEBUG -> Training...\n", + "( 25.44 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.44 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.44 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.44 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.44 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.47 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.47 sec) Clustered ROM : DEBUG -> Training segment 116 slice(2784, 2808, None)\n", + "( 25.47 sec) ARMA : DEBUG -> Training...\n", + "( 25.47 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.47 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.47 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.47 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.47 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.48 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.48 sec) Clustered ROM : DEBUG -> Training segment 117 slice(2808, 2832, None)\n", + "( 25.48 sec) ARMA : DEBUG -> Training...\n", + "( 25.48 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.48 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.48 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.48 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.48 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.52 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.52 sec) Clustered ROM : DEBUG -> Training segment 118 slice(2832, 2856, None)\n", + "( 25.52 sec) ARMA : DEBUG -> Training...\n", + "( 25.52 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.52 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.52 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.52 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.52 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.54 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.54 sec) Clustered ROM : DEBUG -> Training segment 119 slice(2856, 2880, None)\n", + "( 25.54 sec) ARMA : DEBUG -> Training...\n", + "( 25.54 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.54 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.54 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.54 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.54 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.55 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.55 sec) Clustered ROM : DEBUG -> Training segment 120 slice(2880, 2904, None)\n", + "( 25.55 sec) ARMA : DEBUG -> Training...\n", + "( 25.55 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.55 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.55 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.55 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.55 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.56 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.56 sec) Clustered ROM : DEBUG -> Training segment 121 slice(2904, 2928, None)\n", + "( 25.56 sec) ARMA : DEBUG -> Training...\n", + "( 25.56 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.56 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.56 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.56 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.56 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.56 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.57 sec) Clustered ROM : DEBUG -> Training segment 122 slice(2928, 2952, None)\n", + "( 25.57 sec) ARMA : DEBUG -> Training...\n", + "( 25.57 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.57 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.57 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.57 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.57 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.58 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.58 sec) Clustered ROM : DEBUG -> Training segment 123 slice(2952, 2976, None)\n", + "( 25.58 sec) ARMA : DEBUG -> Training...\n", + "( 25.58 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.58 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.58 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.58 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.58 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.59 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.59 sec) Clustered ROM : DEBUG -> Training segment 124 slice(2976, 3000, None)\n", + "( 25.59 sec) ARMA : DEBUG -> Training...\n", + "( 25.59 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.59 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.59 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.59 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.59 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.61 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.61 sec) Clustered ROM : DEBUG -> Training segment 125 slice(3000, 3024, None)\n", + "( 25.61 sec) ARMA : DEBUG -> Training...\n", + "( 25.61 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.61 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.61 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.61 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.61 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.61 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.61 sec) Clustered ROM : DEBUG -> Training segment 126 slice(3024, 3048, None)\n", + "( 25.61 sec) ARMA : DEBUG -> Training...\n", + "( 25.61 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.61 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.61 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.61 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.61 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.62 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.62 sec) Clustered ROM : DEBUG -> Training segment 127 slice(3048, 3072, None)\n", + "( 25.62 sec) ARMA : DEBUG -> Training...\n", + "( 25.62 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.62 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.62 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.62 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.62 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.63 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.63 sec) Clustered ROM : DEBUG -> Training segment 128 slice(3072, 3096, None)\n", + "( 25.63 sec) ARMA : DEBUG -> Training...\n", + "( 25.63 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.63 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.64 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.64 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.64 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.65 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.65 sec) Clustered ROM : DEBUG -> Training segment 129 slice(3096, 3120, None)\n", + "( 25.65 sec) ARMA : DEBUG -> Training...\n", + "( 25.65 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.65 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.65 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.65 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.65 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.69 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.69 sec) Clustered ROM : DEBUG -> Training segment 130 slice(3120, 3144, None)\n", + "( 25.69 sec) ARMA : DEBUG -> Training...\n", + "( 25.69 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.69 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.69 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.70 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.70 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.70 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.70 sec) Clustered ROM : DEBUG -> Training segment 131 slice(3144, 3168, None)\n", + "( 25.70 sec) ARMA : DEBUG -> Training...\n", + "( 25.70 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.70 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.70 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.70 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.70 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.71 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.71 sec) Clustered ROM : DEBUG -> Training segment 132 slice(3168, 3192, None)\n", + "( 25.71 sec) ARMA : DEBUG -> Training...\n", + "( 25.71 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.71 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.71 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.71 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.71 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.72 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.72 sec) Clustered ROM : DEBUG -> Training segment 133 slice(3192, 3216, None)\n", + "( 25.72 sec) ARMA : DEBUG -> Training...\n", + "( 25.72 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.72 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.72 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.72 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.72 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.73 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.74 sec) Clustered ROM : DEBUG -> Training segment 134 slice(3216, 3240, None)\n", + "( 25.74 sec) ARMA : DEBUG -> Training...\n", + "( 25.74 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.74 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.74 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.74 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.74 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.75 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.75 sec) Clustered ROM : DEBUG -> Training segment 135 slice(3240, 3264, None)\n", + "( 25.75 sec) ARMA : DEBUG -> Training...\n", + "( 25.75 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.75 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.75 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.75 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.75 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.77 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.77 sec) Clustered ROM : DEBUG -> Training segment 136 slice(3264, 3288, None)\n", + "( 25.77 sec) ARMA : DEBUG -> Training...\n", + "( 25.77 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.77 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.77 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.77 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.77 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.79 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.79 sec) Clustered ROM : DEBUG -> Training segment 137 slice(3288, 3312, None)\n", + "( 25.79 sec) ARMA : DEBUG -> Training...\n", + "( 25.79 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.79 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.79 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.79 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.79 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.80 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.80 sec) Clustered ROM : DEBUG -> Training segment 138 slice(3312, 3336, None)\n", + "( 25.80 sec) ARMA : DEBUG -> Training...\n", + "( 25.80 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.80 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.80 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.80 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.80 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.81 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.81 sec) Clustered ROM : DEBUG -> Training segment 139 slice(3336, 3360, None)\n", + "( 25.81 sec) ARMA : DEBUG -> Training...\n", + "( 25.81 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.81 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.81 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.81 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.81 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.82 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.83 sec) Clustered ROM : DEBUG -> Training segment 140 slice(3360, 3384, None)\n", + "( 25.83 sec) ARMA : DEBUG -> Training...\n", + "( 25.83 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.83 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.83 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.83 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.83 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.86 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.86 sec) Clustered ROM : DEBUG -> Training segment 141 slice(3384, 3408, None)\n", + "( 25.86 sec) ARMA : DEBUG -> Training...\n", + "( 25.86 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.86 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.86 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.86 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.86 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.88 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.88 sec) Clustered ROM : DEBUG -> Training segment 142 slice(3408, 3432, None)\n", + "( 25.88 sec) ARMA : DEBUG -> Training...\n", + "( 25.88 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.88 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.88 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.88 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.88 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.89 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.89 sec) Clustered ROM : DEBUG -> Training segment 143 slice(3432, 3456, None)\n", + "( 25.89 sec) ARMA : DEBUG -> Training...\n", + "( 25.89 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.89 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.89 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.89 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.89 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.92 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.92 sec) Clustered ROM : DEBUG -> Training segment 144 slice(3456, 3480, None)\n", + "( 25.92 sec) ARMA : DEBUG -> Training...\n", + "( 25.92 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.92 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.92 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.92 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.92 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.94 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.94 sec) Clustered ROM : DEBUG -> Training segment 145 slice(3480, 3504, None)\n", + "( 25.94 sec) ARMA : DEBUG -> Training...\n", + "( 25.94 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.94 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.94 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.94 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.94 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.95 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.95 sec) Clustered ROM : DEBUG -> Training segment 146 slice(3504, 3528, None)\n", + "( 25.95 sec) ARMA : DEBUG -> Training...\n", + "( 25.95 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.95 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.95 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.95 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.95 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.96 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.96 sec) Clustered ROM : DEBUG -> Training segment 147 slice(3528, 3552, None)\n", + "( 25.96 sec) ARMA : DEBUG -> Training...\n", + "( 25.96 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.96 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.96 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.96 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.96 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 25.97 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 25.97 sec) Clustered ROM : DEBUG -> Training segment 148 slice(3552, 3576, None)\n", + "( 25.97 sec) ARMA : DEBUG -> Training...\n", + "( 25.97 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 25.97 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 25.98 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 25.98 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 25.98 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.00 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.00 sec) Clustered ROM : DEBUG -> Training segment 149 slice(3576, 3600, None)\n", + "( 26.00 sec) ARMA : DEBUG -> Training...\n", + "( 26.00 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.00 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.00 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.00 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.00 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.02 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.02 sec) Clustered ROM : DEBUG -> Training segment 150 slice(3600, 3624, None)\n", + "( 26.02 sec) ARMA : DEBUG -> Training...\n", + "( 26.02 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.02 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.02 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.02 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.02 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.03 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.03 sec) Clustered ROM : DEBUG -> Training segment 151 slice(3624, 3648, None)\n", + "( 26.03 sec) ARMA : DEBUG -> Training...\n", + "( 26.03 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.03 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.03 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.03 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.03 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.04 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.04 sec) Clustered ROM : DEBUG -> Training segment 152 slice(3648, 3672, None)\n", + "( 26.04 sec) ARMA : DEBUG -> Training...\n", + "( 26.04 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.04 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.04 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.04 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.04 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.05 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.05 sec) Clustered ROM : DEBUG -> Training segment 153 slice(3672, 3696, None)\n", + "( 26.05 sec) ARMA : DEBUG -> Training...\n", + "( 26.05 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.05 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.05 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.05 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.05 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.07 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.07 sec) Clustered ROM : DEBUG -> Training segment 154 slice(3696, 3720, None)\n", + "( 26.07 sec) ARMA : DEBUG -> Training...\n", + "( 26.07 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.07 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.07 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.07 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.07 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.08 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.08 sec) Clustered ROM : DEBUG -> Training segment 155 slice(3720, 3744, None)\n", + "( 26.08 sec) ARMA : DEBUG -> Training...\n", + "( 26.08 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.08 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.08 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.08 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.08 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.09 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.09 sec) Clustered ROM : DEBUG -> Training segment 156 slice(3744, 3768, None)\n", + "( 26.09 sec) ARMA : DEBUG -> Training...\n", + "( 26.09 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.09 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.09 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.09 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.09 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.11 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.11 sec) Clustered ROM : DEBUG -> Training segment 157 slice(3768, 3792, None)\n", + "( 26.11 sec) ARMA : DEBUG -> Training...\n", + "( 26.11 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.11 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.11 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.11 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.11 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.12 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.12 sec) Clustered ROM : DEBUG -> Training segment 158 slice(3792, 3816, None)\n", + "( 26.12 sec) ARMA : DEBUG -> Training...\n", + "( 26.12 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.12 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.12 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.12 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.12 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.12 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.13 sec) Clustered ROM : DEBUG -> Training segment 159 slice(3816, 3840, None)\n", + "( 26.13 sec) ARMA : DEBUG -> Training...\n", + "( 26.13 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.13 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.13 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.13 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.13 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.14 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.14 sec) Clustered ROM : DEBUG -> Training segment 160 slice(3840, 3864, None)\n", + "( 26.14 sec) ARMA : DEBUG -> Training...\n", + "( 26.14 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.14 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.14 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.14 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.14 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.15 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.15 sec) Clustered ROM : DEBUG -> Training segment 161 slice(3864, 3888, None)\n", + "( 26.15 sec) ARMA : DEBUG -> Training...\n", + "( 26.15 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.15 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.15 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.15 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.15 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.16 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.17 sec) Clustered ROM : DEBUG -> Training segment 162 slice(3888, 3912, None)\n", + "( 26.17 sec) ARMA : DEBUG -> Training...\n", + "( 26.17 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.17 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.17 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.17 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.17 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.17 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.17 sec) Clustered ROM : DEBUG -> Training segment 163 slice(3912, 3936, None)\n", + "( 26.17 sec) ARMA : DEBUG -> Training...\n", + "( 26.17 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.17 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.17 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.17 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.17 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.18 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.18 sec) Clustered ROM : DEBUG -> Training segment 164 slice(3936, 3960, None)\n", + "( 26.18 sec) ARMA : DEBUG -> Training...\n", + "( 26.18 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.18 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.18 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.18 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.18 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.20 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.20 sec) Clustered ROM : DEBUG -> Training segment 165 slice(3960, 3984, None)\n", + "( 26.20 sec) ARMA : DEBUG -> Training...\n", + "( 26.20 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.20 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.20 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.20 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.20 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.21 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.21 sec) Clustered ROM : DEBUG -> Training segment 166 slice(3984, 4008, None)\n", + "( 26.21 sec) ARMA : DEBUG -> Training...\n", + "( 26.21 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.21 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.21 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.21 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.21 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.21 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.21 sec) Clustered ROM : DEBUG -> Training segment 167 slice(4008, 4032, None)\n", + "( 26.21 sec) ARMA : DEBUG -> Training...\n", + "( 26.21 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.21 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.21 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.22 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.22 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.26 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.26 sec) Clustered ROM : DEBUG -> Training segment 168 slice(4032, 4056, None)\n", + "( 26.26 sec) ARMA : DEBUG -> Training...\n", + "( 26.26 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.26 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.26 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.26 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.26 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.27 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.27 sec) Clustered ROM : DEBUG -> Training segment 169 slice(4056, 4080, None)\n", + "( 26.27 sec) ARMA : DEBUG -> Training...\n", + "( 26.27 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.27 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.27 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.27 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.27 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.31 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.31 sec) Clustered ROM : DEBUG -> Training segment 170 slice(4080, 4104, None)\n", + "( 26.31 sec) ARMA : DEBUG -> Training...\n", + "( 26.31 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.31 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.31 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.31 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.31 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.31 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.31 sec) Clustered ROM : DEBUG -> Training segment 171 slice(4104, 4128, None)\n", + "( 26.31 sec) ARMA : DEBUG -> Training...\n", + "( 26.31 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.31 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.31 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.31 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.31 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.35 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.35 sec) Clustered ROM : DEBUG -> Training segment 172 slice(4128, 4152, None)\n", + "( 26.35 sec) ARMA : DEBUG -> Training...\n", + "( 26.35 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.35 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.35 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.35 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.35 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.35 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.35 sec) Clustered ROM : DEBUG -> Training segment 173 slice(4152, 4176, None)\n", + "( 26.35 sec) ARMA : DEBUG -> Training...\n", + "( 26.35 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.35 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.35 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.35 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.35 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.37 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.37 sec) Clustered ROM : DEBUG -> Training segment 174 slice(4176, 4200, None)\n", + "( 26.37 sec) ARMA : DEBUG -> Training...\n", + "( 26.37 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.37 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.37 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.37 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.37 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.39 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.39 sec) Clustered ROM : DEBUG -> Training segment 175 slice(4200, 4224, None)\n", + "( 26.39 sec) ARMA : DEBUG -> Training...\n", + "( 26.39 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.39 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.39 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.39 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.39 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.39 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.39 sec) Clustered ROM : DEBUG -> Training segment 176 slice(4224, 4248, None)\n", + "( 26.39 sec) ARMA : DEBUG -> Training...\n", + "( 26.39 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.39 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.39 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.39 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.39 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.40 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.40 sec) Clustered ROM : DEBUG -> Training segment 177 slice(4248, 4272, None)\n", + "( 26.40 sec) ARMA : DEBUG -> Training...\n", + "( 26.40 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.40 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.40 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.40 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.40 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.42 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.42 sec) Clustered ROM : DEBUG -> Training segment 178 slice(4272, 4296, None)\n", + "( 26.42 sec) ARMA : DEBUG -> Training...\n", + "( 26.42 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.42 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.42 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.42 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.42 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.43 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.43 sec) Clustered ROM : DEBUG -> Training segment 179 slice(4296, 4320, None)\n", + "( 26.43 sec) ARMA : DEBUG -> Training...\n", + "( 26.43 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.43 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.43 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.43 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.43 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.43 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.43 sec) Clustered ROM : DEBUG -> Training segment 180 slice(4320, 4344, None)\n", + "( 26.43 sec) ARMA : DEBUG -> Training...\n", + "( 26.43 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.43 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.43 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.43 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.43 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.46 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.46 sec) Clustered ROM : DEBUG -> Training segment 181 slice(4344, 4368, None)\n", + "( 26.46 sec) ARMA : DEBUG -> Training...\n", + "( 26.46 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.46 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.46 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.46 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.46 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.47 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.47 sec) Clustered ROM : DEBUG -> Training segment 182 slice(4368, 4392, None)\n", + "( 26.47 sec) ARMA : DEBUG -> Training...\n", + "( 26.47 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.47 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.47 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.47 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.47 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.48 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.48 sec) Clustered ROM : DEBUG -> Training segment 183 slice(4392, 4416, None)\n", + "( 26.48 sec) ARMA : DEBUG -> Training...\n", + "( 26.48 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.48 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.48 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.48 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.49 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.50 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.50 sec) Clustered ROM : DEBUG -> Training segment 184 slice(4416, 4440, None)\n", + "( 26.50 sec) ARMA : DEBUG -> Training...\n", + "( 26.50 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.50 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.50 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.50 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.50 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.50 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.50 sec) Clustered ROM : DEBUG -> Training segment 185 slice(4440, 4464, None)\n", + "( 26.50 sec) ARMA : DEBUG -> Training...\n", + "( 26.50 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.50 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.50 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.50 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.50 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.51 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.51 sec) Clustered ROM : DEBUG -> Training segment 186 slice(4464, 4488, None)\n", + "( 26.51 sec) ARMA : DEBUG -> Training...\n", + "( 26.51 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.51 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.51 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.51 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.51 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.52 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.53 sec) Clustered ROM : DEBUG -> Training segment 187 slice(4488, 4512, None)\n", + "( 26.53 sec) ARMA : DEBUG -> Training...\n", + "( 26.53 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.53 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.53 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.53 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.53 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.57 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.57 sec) Clustered ROM : DEBUG -> Training segment 188 slice(4512, 4536, None)\n", + "( 26.57 sec) ARMA : DEBUG -> Training...\n", + "( 26.57 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.57 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.57 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.58 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.58 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.60 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.60 sec) Clustered ROM : DEBUG -> Training segment 189 slice(4536, 4560, None)\n", + "( 26.60 sec) ARMA : DEBUG -> Training...\n", + "( 26.60 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.60 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.60 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.60 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.60 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.64 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.64 sec) Clustered ROM : DEBUG -> Training segment 190 slice(4560, 4584, None)\n", + "( 26.64 sec) ARMA : DEBUG -> Training...\n", + "( 26.64 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.64 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.64 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.64 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.64 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.66 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.66 sec) Clustered ROM : DEBUG -> Training segment 191 slice(4584, 4608, None)\n", + "( 26.66 sec) ARMA : DEBUG -> Training...\n", + "( 26.66 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.66 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.66 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.66 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.66 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.68 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.68 sec) Clustered ROM : DEBUG -> Training segment 192 slice(4608, 4632, None)\n", + "( 26.68 sec) ARMA : DEBUG -> Training...\n", + "( 26.68 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.68 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.68 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.68 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.68 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.70 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.70 sec) Clustered ROM : DEBUG -> Training segment 193 slice(4632, 4656, None)\n", + "( 26.70 sec) ARMA : DEBUG -> Training...\n", + "( 26.70 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.70 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.70 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.70 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.70 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.71 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.71 sec) Clustered ROM : DEBUG -> Training segment 194 slice(4656, 4680, None)\n", + "( 26.71 sec) ARMA : DEBUG -> Training...\n", + "( 26.71 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.71 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.71 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.71 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.71 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.72 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.72 sec) Clustered ROM : DEBUG -> Training segment 195 slice(4680, 4704, None)\n", + "( 26.72 sec) ARMA : DEBUG -> Training...\n", + "( 26.72 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.72 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.72 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.72 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.72 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.74 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.74 sec) Clustered ROM : DEBUG -> Training segment 196 slice(4704, 4728, None)\n", + "( 26.74 sec) ARMA : DEBUG -> Training...\n", + "( 26.74 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.74 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.74 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.74 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.74 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.75 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.75 sec) Clustered ROM : DEBUG -> Training segment 197 slice(4728, 4752, None)\n", + "( 26.75 sec) ARMA : DEBUG -> Training...\n", + "( 26.75 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.75 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.75 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.75 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.75 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.76 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.76 sec) Clustered ROM : DEBUG -> Training segment 198 slice(4752, 4776, None)\n", + "( 26.76 sec) ARMA : DEBUG -> Training...\n", + "( 26.76 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.76 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.76 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.76 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.76 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.78 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.78 sec) Clustered ROM : DEBUG -> Training segment 199 slice(4776, 4800, None)\n", + "( 26.78 sec) ARMA : DEBUG -> Training...\n", + "( 26.78 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.78 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.78 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.78 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.78 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.80 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.80 sec) Clustered ROM : DEBUG -> Training segment 200 slice(4800, 4824, None)\n", + "( 26.80 sec) ARMA : DEBUG -> Training...\n", + "( 26.80 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.80 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.80 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.80 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.80 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.81 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.81 sec) Clustered ROM : DEBUG -> Training segment 201 slice(4824, 4848, None)\n", + "( 26.81 sec) ARMA : DEBUG -> Training...\n", + "( 26.81 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.81 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.81 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.81 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.81 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.82 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.82 sec) Clustered ROM : DEBUG -> Training segment 202 slice(4848, 4872, None)\n", + "( 26.82 sec) ARMA : DEBUG -> Training...\n", + "( 26.82 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.82 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.82 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.85 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.85 sec) Clustered ROM : DEBUG -> Training segment 203 slice(4872, 4896, None)\n", + "( 26.85 sec) ARMA : DEBUG -> Training...\n", + "( 26.85 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.85 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.85 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.85 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.85 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.89 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.89 sec) Clustered ROM : DEBUG -> Training segment 204 slice(4896, 4920, None)\n", + "( 26.89 sec) ARMA : DEBUG -> Training...\n", + "( 26.89 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.89 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.89 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.89 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.89 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.90 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.90 sec) Clustered ROM : DEBUG -> Training segment 205 slice(4920, 4944, None)\n", + "( 26.90 sec) ARMA : DEBUG -> Training...\n", + "( 26.90 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.90 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.90 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.90 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.91 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.91 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.92 sec) Clustered ROM : DEBUG -> Training segment 206 slice(4944, 4968, None)\n", + "( 26.92 sec) ARMA : DEBUG -> Training...\n", + "( 26.92 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.92 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.92 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.92 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.92 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.93 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.93 sec) Clustered ROM : DEBUG -> Training segment 207 slice(4968, 4992, None)\n", + "( 26.93 sec) ARMA : DEBUG -> Training...\n", + "( 26.93 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.94 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.94 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.94 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.94 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.98 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.98 sec) Clustered ROM : DEBUG -> Training segment 208 slice(4992, 5016, None)\n", + "( 26.98 sec) ARMA : DEBUG -> Training...\n", + "( 26.98 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.98 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.98 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.98 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.98 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 26.99 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 26.99 sec) Clustered ROM : DEBUG -> Training segment 209 slice(5016, 5040, None)\n", + "( 26.99 sec) ARMA : DEBUG -> Training...\n", + "( 26.99 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 26.99 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 26.99 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 26.99 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 26.99 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.03 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.03 sec) Clustered ROM : DEBUG -> Training segment 210 slice(5040, 5064, None)\n", + "( 27.03 sec) ARMA : DEBUG -> Training...\n", + "( 27.03 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.03 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.03 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.03 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.03 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.07 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.07 sec) Clustered ROM : DEBUG -> Training segment 211 slice(5064, 5088, None)\n", + "( 27.07 sec) ARMA : DEBUG -> Training...\n", + "( 27.07 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.07 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.07 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.08 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.08 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.09 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.09 sec) Clustered ROM : DEBUG -> Training segment 212 slice(5088, 5112, None)\n", + "( 27.09 sec) ARMA : DEBUG -> Training...\n", + "( 27.09 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.09 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.09 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.09 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.09 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.12 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.12 sec) Clustered ROM : DEBUG -> Training segment 213 slice(5112, 5136, None)\n", + "( 27.12 sec) ARMA : DEBUG -> Training...\n", + "( 27.12 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.12 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.12 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.12 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.12 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.13 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.13 sec) Clustered ROM : DEBUG -> Training segment 214 slice(5136, 5160, None)\n", + "( 27.13 sec) ARMA : DEBUG -> Training...\n", + "( 27.13 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.13 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.13 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.13 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.14 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.14 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.14 sec) Clustered ROM : DEBUG -> Training segment 215 slice(5160, 5184, None)\n", + "( 27.14 sec) ARMA : DEBUG -> Training...\n", + "( 27.14 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.14 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.14 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.14 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.14 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.18 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.18 sec) Clustered ROM : DEBUG -> Training segment 216 slice(5184, 5208, None)\n", + "( 27.18 sec) ARMA : DEBUG -> Training...\n", + "( 27.18 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.18 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.18 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.18 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.18 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.19 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.19 sec) Clustered ROM : DEBUG -> Training segment 217 slice(5208, 5232, None)\n", + "( 27.19 sec) ARMA : DEBUG -> Training...\n", + "( 27.19 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.19 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.19 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.19 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.19 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.21 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.21 sec) Clustered ROM : DEBUG -> Training segment 218 slice(5232, 5256, None)\n", + "( 27.21 sec) ARMA : DEBUG -> Training...\n", + "( 27.21 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.21 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.21 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.21 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.21 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.24 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.24 sec) Clustered ROM : DEBUG -> Training segment 219 slice(5256, 5280, None)\n", + "( 27.24 sec) ARMA : DEBUG -> Training...\n", + "( 27.24 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.24 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.24 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.24 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.24 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.25 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.25 sec) Clustered ROM : DEBUG -> Training segment 220 slice(5280, 5304, None)\n", + "( 27.25 sec) ARMA : DEBUG -> Training...\n", + "( 27.25 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.25 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.25 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.25 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.25 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.28 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.28 sec) Clustered ROM : DEBUG -> Training segment 221 slice(5304, 5328, None)\n", + "( 27.28 sec) ARMA : DEBUG -> Training...\n", + "( 27.28 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.28 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.28 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.28 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.28 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.29 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.29 sec) Clustered ROM : DEBUG -> Training segment 222 slice(5328, 5352, None)\n", + "( 27.29 sec) ARMA : DEBUG -> Training...\n", + "( 27.29 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.29 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.29 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.29 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.29 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.31 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.31 sec) Clustered ROM : DEBUG -> Training segment 223 slice(5352, 5376, None)\n", + "( 27.31 sec) ARMA : DEBUG -> Training...\n", + "( 27.31 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.31 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.31 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.31 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.31 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.32 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.32 sec) Clustered ROM : DEBUG -> Training segment 224 slice(5376, 5400, None)\n", + "( 27.32 sec) ARMA : DEBUG -> Training...\n", + "( 27.32 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.32 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.32 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.32 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.32 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.34 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.34 sec) Clustered ROM : DEBUG -> Training segment 225 slice(5400, 5424, None)\n", + "( 27.34 sec) ARMA : DEBUG -> Training...\n", + "( 27.34 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.34 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.34 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.34 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.34 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.35 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.35 sec) Clustered ROM : DEBUG -> Training segment 226 slice(5424, 5448, None)\n", + "( 27.35 sec) ARMA : DEBUG -> Training...\n", + "( 27.35 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.35 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.35 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.35 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.35 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.36 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.36 sec) Clustered ROM : DEBUG -> Training segment 227 slice(5448, 5472, None)\n", + "( 27.36 sec) ARMA : DEBUG -> Training...\n", + "( 27.36 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.36 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.36 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.36 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.36 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.39 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.40 sec) Clustered ROM : DEBUG -> Training segment 228 slice(5472, 5496, None)\n", + "( 27.40 sec) ARMA : DEBUG -> Training...\n", + "( 27.40 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.40 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.40 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.40 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.40 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.41 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.41 sec) Clustered ROM : DEBUG -> Training segment 229 slice(5496, 5520, None)\n", + "( 27.41 sec) ARMA : DEBUG -> Training...\n", + "( 27.41 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.41 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.41 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.41 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.41 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.43 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.43 sec) Clustered ROM : DEBUG -> Training segment 230 slice(5520, 5544, None)\n", + "( 27.43 sec) ARMA : DEBUG -> Training...\n", + "( 27.43 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.43 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.43 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.43 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.43 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.44 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.44 sec) Clustered ROM : DEBUG -> Training segment 231 slice(5544, 5568, None)\n", + "( 27.44 sec) ARMA : DEBUG -> Training...\n", + "( 27.44 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.44 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.44 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.45 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.45 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.46 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.46 sec) Clustered ROM : DEBUG -> Training segment 232 slice(5568, 5592, None)\n", + "( 27.46 sec) ARMA : DEBUG -> Training...\n", + "( 27.46 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.46 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.46 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.46 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.46 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.47 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.47 sec) Clustered ROM : DEBUG -> Training segment 233 slice(5592, 5616, None)\n", + "( 27.47 sec) ARMA : DEBUG -> Training...\n", + "( 27.47 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.47 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.47 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.47 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.47 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.48 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.48 sec) Clustered ROM : DEBUG -> Training segment 234 slice(5616, 5640, None)\n", + "( 27.48 sec) ARMA : DEBUG -> Training...\n", + "( 27.48 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.48 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.48 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.48 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.48 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.49 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.49 sec) Clustered ROM : DEBUG -> Training segment 235 slice(5640, 5664, None)\n", + "( 27.49 sec) ARMA : DEBUG -> Training...\n", + "( 27.49 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.49 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.49 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.49 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.49 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.50 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.50 sec) Clustered ROM : DEBUG -> Training segment 236 slice(5664, 5688, None)\n", + "( 27.50 sec) ARMA : DEBUG -> Training...\n", + "( 27.50 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.50 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.50 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.50 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.50 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.51 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.51 sec) Clustered ROM : DEBUG -> Training segment 237 slice(5688, 5712, None)\n", + "( 27.51 sec) ARMA : DEBUG -> Training...\n", + "( 27.51 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.51 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.51 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.51 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.52 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.53 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.53 sec) Clustered ROM : DEBUG -> Training segment 238 slice(5712, 5736, None)\n", + "( 27.53 sec) ARMA : DEBUG -> Training...\n", + "( 27.53 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.53 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.53 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.53 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.53 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.54 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.54 sec) Clustered ROM : DEBUG -> Training segment 239 slice(5736, 5760, None)\n", + "( 27.54 sec) ARMA : DEBUG -> Training...\n", + "( 27.54 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.54 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.54 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.54 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.54 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.55 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.55 sec) Clustered ROM : DEBUG -> Training segment 240 slice(5760, 5784, None)\n", + "( 27.55 sec) ARMA : DEBUG -> Training...\n", + "( 27.55 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.55 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.55 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.55 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.55 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.56 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.56 sec) Clustered ROM : DEBUG -> Training segment 241 slice(5784, 5808, None)\n", + "( 27.56 sec) ARMA : DEBUG -> Training...\n", + "( 27.56 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.56 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.56 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.56 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.56 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.57 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.57 sec) Clustered ROM : DEBUG -> Training segment 242 slice(5808, 5832, None)\n", + "( 27.57 sec) ARMA : DEBUG -> Training...\n", + "( 27.57 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.57 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.57 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.57 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.57 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.61 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.61 sec) Clustered ROM : DEBUG -> Training segment 243 slice(5832, 5856, None)\n", + "( 27.61 sec) ARMA : DEBUG -> Training...\n", + "( 27.61 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.61 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.61 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.61 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.61 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.62 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.62 sec) Clustered ROM : DEBUG -> Training segment 244 slice(5856, 5880, None)\n", + "( 27.62 sec) ARMA : DEBUG -> Training...\n", + "( 27.62 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.62 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.62 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.62 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.62 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.63 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.63 sec) Clustered ROM : DEBUG -> Training segment 245 slice(5880, 5904, None)\n", + "( 27.63 sec) ARMA : DEBUG -> Training...\n", + "( 27.63 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.63 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.63 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.63 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.63 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.63 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.63 sec) Clustered ROM : DEBUG -> Training segment 246 slice(5904, 5928, None)\n", + "( 27.63 sec) ARMA : DEBUG -> Training...\n", + "( 27.63 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.64 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.64 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.64 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.64 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.65 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.65 sec) Clustered ROM : DEBUG -> Training segment 247 slice(5928, 5952, None)\n", + "( 27.65 sec) ARMA : DEBUG -> Training...\n", + "( 27.65 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.65 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.65 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.65 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.65 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.66 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.66 sec) Clustered ROM : DEBUG -> Training segment 248 slice(5952, 5976, None)\n", + "( 27.66 sec) ARMA : DEBUG -> Training...\n", + "( 27.66 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.66 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.66 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.66 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.66 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.68 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.68 sec) Clustered ROM : DEBUG -> Training segment 249 slice(5976, 6000, None)\n", + "( 27.68 sec) ARMA : DEBUG -> Training...\n", + "( 27.68 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.68 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.68 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.68 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.68 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.69 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.69 sec) Clustered ROM : DEBUG -> Training segment 250 slice(6000, 6024, None)\n", + "( 27.69 sec) ARMA : DEBUG -> Training...\n", + "( 27.69 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.69 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.69 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.69 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.69 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.70 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.70 sec) Clustered ROM : DEBUG -> Training segment 251 slice(6024, 6048, None)\n", + "( 27.70 sec) ARMA : DEBUG -> Training...\n", + "( 27.70 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.70 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.70 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.70 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.70 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.71 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.71 sec) Clustered ROM : DEBUG -> Training segment 252 slice(6048, 6072, None)\n", + "( 27.71 sec) ARMA : DEBUG -> Training...\n", + "( 27.71 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.71 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.71 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.71 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.71 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.74 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.74 sec) Clustered ROM : DEBUG -> Training segment 253 slice(6072, 6096, None)\n", + "( 27.74 sec) ARMA : DEBUG -> Training...\n", + "( 27.74 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.74 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.74 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.74 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.74 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.75 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.75 sec) Clustered ROM : DEBUG -> Training segment 254 slice(6096, 6120, None)\n", + "( 27.75 sec) ARMA : DEBUG -> Training...\n", + "( 27.75 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.75 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.75 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.75 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.75 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.77 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.77 sec) Clustered ROM : DEBUG -> Training segment 255 slice(6120, 6144, None)\n", + "( 27.77 sec) ARMA : DEBUG -> Training...\n", + "( 27.77 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.77 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.77 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.77 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.77 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.78 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.78 sec) Clustered ROM : DEBUG -> Training segment 256 slice(6144, 6168, None)\n", + "( 27.78 sec) ARMA : DEBUG -> Training...\n", + "( 27.78 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.78 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.78 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.78 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.78 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.79 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.79 sec) Clustered ROM : DEBUG -> Training segment 257 slice(6168, 6192, None)\n", + "( 27.79 sec) ARMA : DEBUG -> Training...\n", + "( 27.79 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.79 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.79 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.79 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.79 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.81 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.81 sec) Clustered ROM : DEBUG -> Training segment 258 slice(6192, 6216, None)\n", + "( 27.81 sec) ARMA : DEBUG -> Training...\n", + "( 27.81 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.81 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.81 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.81 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.81 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.82 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.82 sec) Clustered ROM : DEBUG -> Training segment 259 slice(6216, 6240, None)\n", + "( 27.82 sec) ARMA : DEBUG -> Training...\n", + "( 27.82 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.82 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.82 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.82 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.82 sec) Clustered ROM : DEBUG -> Training segment 260 slice(6240, 6264, None)\n", + "( 27.82 sec) ARMA : DEBUG -> Training...\n", + "( 27.82 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.82 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.82 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.83 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.83 sec) Clustered ROM : DEBUG -> Training segment 261 slice(6264, 6288, None)\n", + "( 27.83 sec) ARMA : DEBUG -> Training...\n", + "( 27.83 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.83 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.83 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.83 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.84 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.85 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.85 sec) Clustered ROM : DEBUG -> Training segment 262 slice(6288, 6312, None)\n", + "( 27.85 sec) ARMA : DEBUG -> Training...\n", + "( 27.85 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.85 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.85 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.85 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.85 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.88 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.88 sec) Clustered ROM : DEBUG -> Training segment 263 slice(6312, 6336, None)\n", + "( 27.88 sec) ARMA : DEBUG -> Training...\n", + "( 27.88 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.88 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.88 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.88 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.88 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.91 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.91 sec) Clustered ROM : DEBUG -> Training segment 264 slice(6336, 6360, None)\n", + "( 27.91 sec) ARMA : DEBUG -> Training...\n", + "( 27.91 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.91 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.91 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.91 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.91 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.94 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.94 sec) Clustered ROM : DEBUG -> Training segment 265 slice(6360, 6384, None)\n", + "( 27.94 sec) ARMA : DEBUG -> Training...\n", + "( 27.94 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.94 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.94 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.94 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.94 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.95 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.95 sec) Clustered ROM : DEBUG -> Training segment 266 slice(6384, 6408, None)\n", + "( 27.95 sec) ARMA : DEBUG -> Training...\n", + "( 27.95 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.95 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.95 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.95 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.95 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.96 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.97 sec) Clustered ROM : DEBUG -> Training segment 267 slice(6408, 6432, None)\n", + "( 27.97 sec) ARMA : DEBUG -> Training...\n", + "( 27.97 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.97 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.97 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.97 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.97 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.98 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.98 sec) Clustered ROM : DEBUG -> Training segment 268 slice(6432, 6456, None)\n", + "( 27.98 sec) ARMA : DEBUG -> Training...\n", + "( 27.98 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.98 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.98 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.98 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.98 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 27.99 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 27.99 sec) Clustered ROM : DEBUG -> Training segment 269 slice(6456, 6480, None)\n", + "( 27.99 sec) ARMA : DEBUG -> Training...\n", + "( 27.99 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 27.99 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 27.99 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 27.99 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 27.99 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.03 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.03 sec) Clustered ROM : DEBUG -> Training segment 270 slice(6480, 6504, None)\n", + "( 28.03 sec) ARMA : DEBUG -> Training...\n", + "( 28.03 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.03 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.03 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.03 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.03 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.04 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.04 sec) Clustered ROM : DEBUG -> Training segment 271 slice(6504, 6528, None)\n", + "( 28.04 sec) ARMA : DEBUG -> Training...\n", + "( 28.04 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.04 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.04 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.04 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.04 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.05 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.05 sec) Clustered ROM : DEBUG -> Training segment 272 slice(6528, 6552, None)\n", + "( 28.05 sec) ARMA : DEBUG -> Training...\n", + "( 28.05 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.05 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.05 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.05 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.05 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.07 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.07 sec) Clustered ROM : DEBUG -> Training segment 273 slice(6552, 6576, None)\n", + "( 28.07 sec) ARMA : DEBUG -> Training...\n", + "( 28.07 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.07 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.07 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.07 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.07 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.08 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.08 sec) Clustered ROM : DEBUG -> Training segment 274 slice(6576, 6600, None)\n", + "( 28.08 sec) ARMA : DEBUG -> Training...\n", + "( 28.08 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.08 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.08 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.08 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.08 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.09 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.09 sec) Clustered ROM : DEBUG -> Training segment 275 slice(6600, 6624, None)\n", + "( 28.09 sec) ARMA : DEBUG -> Training...\n", + "( 28.09 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.09 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.09 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.09 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.09 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.10 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.10 sec) Clustered ROM : DEBUG -> Training segment 276 slice(6624, 6648, None)\n", + "( 28.10 sec) ARMA : DEBUG -> Training...\n", + "( 28.10 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.10 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.10 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.10 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.10 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.12 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.12 sec) Clustered ROM : DEBUG -> Training segment 277 slice(6648, 6672, None)\n", + "( 28.12 sec) ARMA : DEBUG -> Training...\n", + "( 28.12 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.12 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.12 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.12 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.12 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.13 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.13 sec) Clustered ROM : DEBUG -> Training segment 278 slice(6672, 6696, None)\n", + "( 28.13 sec) ARMA : DEBUG -> Training...\n", + "( 28.13 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.13 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.13 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.13 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.13 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.14 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.14 sec) Clustered ROM : DEBUG -> Training segment 279 slice(6696, 6720, None)\n", + "( 28.14 sec) ARMA : DEBUG -> Training...\n", + "( 28.14 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.14 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.14 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.14 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.14 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.18 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.18 sec) Clustered ROM : DEBUG -> Training segment 280 slice(6720, 6744, None)\n", + "( 28.18 sec) ARMA : DEBUG -> Training...\n", + "( 28.18 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.18 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.18 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.18 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.18 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.19 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.19 sec) Clustered ROM : DEBUG -> Training segment 281 slice(6744, 6768, None)\n", + "( 28.19 sec) ARMA : DEBUG -> Training...\n", + "( 28.19 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.19 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.19 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.19 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.19 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.20 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.20 sec) Clustered ROM : DEBUG -> Training segment 282 slice(6768, 6792, None)\n", + "( 28.20 sec) ARMA : DEBUG -> Training...\n", + "( 28.20 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.20 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.20 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.20 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.20 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.20 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.20 sec) Clustered ROM : DEBUG -> Training segment 283 slice(6792, 6816, None)\n", + "( 28.20 sec) ARMA : DEBUG -> Training...\n", + "( 28.20 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.20 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.20 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.20 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.20 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.21 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.21 sec) Clustered ROM : DEBUG -> Training segment 284 slice(6816, 6840, None)\n", + "( 28.21 sec) ARMA : DEBUG -> Training...\n", + "( 28.21 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.21 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.21 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.21 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.22 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.25 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.25 sec) Clustered ROM : DEBUG -> Training segment 285 slice(6840, 6864, None)\n", + "( 28.25 sec) ARMA : DEBUG -> Training...\n", + "( 28.25 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.25 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.25 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.25 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.25 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.26 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.27 sec) Clustered ROM : DEBUG -> Training segment 286 slice(6864, 6888, None)\n", + "( 28.27 sec) ARMA : DEBUG -> Training...\n", + "( 28.27 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.27 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.27 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.27 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.27 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.30 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.30 sec) Clustered ROM : DEBUG -> Training segment 287 slice(6888, 6912, None)\n", + "( 28.30 sec) ARMA : DEBUG -> Training...\n", + "( 28.30 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.30 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.30 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.30 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.30 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.30 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.31 sec) Clustered ROM : DEBUG -> Training segment 288 slice(6912, 6936, None)\n", + "( 28.31 sec) ARMA : DEBUG -> Training...\n", + "( 28.31 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.31 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.31 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.31 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.31 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.32 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.32 sec) Clustered ROM : DEBUG -> Training segment 289 slice(6936, 6960, None)\n", + "( 28.32 sec) ARMA : DEBUG -> Training...\n", + "( 28.32 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.32 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.32 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.32 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.32 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.33 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.33 sec) Clustered ROM : DEBUG -> Training segment 290 slice(6960, 6984, None)\n", + "( 28.33 sec) ARMA : DEBUG -> Training...\n", + "( 28.33 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.33 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.33 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.33 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.33 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.35 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.35 sec) Clustered ROM : DEBUG -> Training segment 291 slice(6984, 7008, None)\n", + "( 28.35 sec) ARMA : DEBUG -> Training...\n", + "( 28.35 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.35 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.35 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.35 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.35 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.35 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.36 sec) Clustered ROM : DEBUG -> Training segment 292 slice(7008, 7032, None)\n", + "( 28.36 sec) ARMA : DEBUG -> Training...\n", + "( 28.36 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.36 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.36 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.36 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.36 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.37 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.37 sec) Clustered ROM : DEBUG -> Training segment 293 slice(7032, 7056, None)\n", + "( 28.37 sec) ARMA : DEBUG -> Training...\n", + "( 28.37 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.37 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.37 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.37 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.37 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.38 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.38 sec) Clustered ROM : DEBUG -> Training segment 294 slice(7056, 7080, None)\n", + "( 28.38 sec) ARMA : DEBUG -> Training...\n", + "( 28.38 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.38 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.38 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.38 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.38 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.40 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.40 sec) Clustered ROM : DEBUG -> Training segment 295 slice(7080, 7104, None)\n", + "( 28.40 sec) ARMA : DEBUG -> Training...\n", + "( 28.40 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.40 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.40 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.40 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.40 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.41 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.41 sec) Clustered ROM : DEBUG -> Training segment 296 slice(7104, 7128, None)\n", + "( 28.41 sec) ARMA : DEBUG -> Training...\n", + "( 28.41 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.41 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.41 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.41 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.41 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.43 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.43 sec) Clustered ROM : DEBUG -> Training segment 297 slice(7128, 7152, None)\n", + "( 28.43 sec) ARMA : DEBUG -> Training...\n", + "( 28.43 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.43 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.43 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.43 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.43 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.44 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.44 sec) Clustered ROM : DEBUG -> Training segment 298 slice(7152, 7176, None)\n", + "( 28.44 sec) ARMA : DEBUG -> Training...\n", + "( 28.44 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.44 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.44 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.44 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.44 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.46 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.46 sec) Clustered ROM : DEBUG -> Training segment 299 slice(7176, 7200, None)\n", + "( 28.46 sec) ARMA : DEBUG -> Training...\n", + "( 28.46 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.46 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.46 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.46 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.46 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.47 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.47 sec) Clustered ROM : DEBUG -> Training segment 300 slice(7200, 7224, None)\n", + "( 28.47 sec) ARMA : DEBUG -> Training...\n", + "( 28.47 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.47 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.47 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.47 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.47 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.48 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.48 sec) Clustered ROM : DEBUG -> Training segment 301 slice(7224, 7248, None)\n", + "( 28.48 sec) ARMA : DEBUG -> Training...\n", + "( 28.48 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.48 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.48 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.48 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.49 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.50 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.50 sec) Clustered ROM : DEBUG -> Training segment 302 slice(7248, 7272, None)\n", + "( 28.50 sec) ARMA : DEBUG -> Training...\n", + "( 28.50 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.50 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.50 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.50 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.50 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.50 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.50 sec) Clustered ROM : DEBUG -> Training segment 303 slice(7272, 7296, None)\n", + "( 28.50 sec) ARMA : DEBUG -> Training...\n", + "( 28.50 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.50 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.50 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.50 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.50 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.51 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.51 sec) Clustered ROM : DEBUG -> Training segment 304 slice(7296, 7320, None)\n", + "( 28.51 sec) ARMA : DEBUG -> Training...\n", + "( 28.51 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.51 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.51 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.51 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.51 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.53 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.53 sec) Clustered ROM : DEBUG -> Training segment 305 slice(7320, 7344, None)\n", + "( 28.53 sec) ARMA : DEBUG -> Training...\n", + "( 28.53 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.53 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.53 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.53 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.53 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.56 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.56 sec) Clustered ROM : DEBUG -> Training segment 306 slice(7344, 7368, None)\n", + "( 28.56 sec) ARMA : DEBUG -> Training...\n", + "( 28.56 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.56 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.56 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.56 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.56 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.57 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.57 sec) Clustered ROM : DEBUG -> Training segment 307 slice(7368, 7392, None)\n", + "( 28.57 sec) ARMA : DEBUG -> Training...\n", + "( 28.57 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.57 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.57 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.57 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.57 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.58 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.59 sec) Clustered ROM : DEBUG -> Training segment 308 slice(7392, 7416, None)\n", + "( 28.59 sec) ARMA : DEBUG -> Training...\n", + "( 28.59 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.59 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.59 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.59 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.59 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.59 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.59 sec) Clustered ROM : DEBUG -> Training segment 309 slice(7416, 7440, None)\n", + "( 28.59 sec) ARMA : DEBUG -> Training...\n", + "( 28.59 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.59 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.59 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.59 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.60 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.62 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.62 sec) Clustered ROM : DEBUG -> Training segment 310 slice(7440, 7464, None)\n", + "( 28.62 sec) ARMA : DEBUG -> Training...\n", + "( 28.62 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.62 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.62 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.62 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.62 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.64 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.64 sec) Clustered ROM : DEBUG -> Training segment 311 slice(7464, 7488, None)\n", + "( 28.64 sec) ARMA : DEBUG -> Training...\n", + "( 28.64 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.64 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.64 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.64 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.64 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.65 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.65 sec) Clustered ROM : DEBUG -> Training segment 312 slice(7488, 7512, None)\n", + "( 28.65 sec) ARMA : DEBUG -> Training...\n", + "( 28.65 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.65 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.65 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.66 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.66 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.66 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.66 sec) Clustered ROM : DEBUG -> Training segment 313 slice(7512, 7536, None)\n", + "( 28.66 sec) ARMA : DEBUG -> Training...\n", + "( 28.66 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.66 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.66 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.66 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.66 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.70 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.70 sec) Clustered ROM : DEBUG -> Training segment 314 slice(7536, 7560, None)\n", + "( 28.70 sec) ARMA : DEBUG -> Training...\n", + "( 28.70 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.70 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.70 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.70 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.70 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.73 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.73 sec) Clustered ROM : DEBUG -> Training segment 315 slice(7560, 7584, None)\n", + "( 28.73 sec) ARMA : DEBUG -> Training...\n", + "( 28.73 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.73 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.73 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.73 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.73 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.74 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.74 sec) Clustered ROM : DEBUG -> Training segment 316 slice(7584, 7608, None)\n", + "( 28.74 sec) ARMA : DEBUG -> Training...\n", + "( 28.74 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.74 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.74 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.74 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.74 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.75 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.75 sec) Clustered ROM : DEBUG -> Training segment 317 slice(7608, 7632, None)\n", + "( 28.75 sec) ARMA : DEBUG -> Training...\n", + "( 28.75 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.75 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.75 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.75 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.75 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.76 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.76 sec) Clustered ROM : DEBUG -> Training segment 318 slice(7632, 7656, None)\n", + "( 28.76 sec) ARMA : DEBUG -> Training...\n", + "( 28.76 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.76 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.76 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.76 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.76 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.77 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.77 sec) Clustered ROM : DEBUG -> Training segment 319 slice(7656, 7680, None)\n", + "( 28.77 sec) ARMA : DEBUG -> Training...\n", + "( 28.77 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.77 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.77 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.77 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.77 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.78 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.78 sec) Clustered ROM : DEBUG -> Training segment 320 slice(7680, 7704, None)\n", + "( 28.78 sec) ARMA : DEBUG -> Training...\n", + "( 28.78 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.78 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.78 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.78 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.79 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.80 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.80 sec) Clustered ROM : DEBUG -> Training segment 321 slice(7704, 7728, None)\n", + "( 28.80 sec) ARMA : DEBUG -> Training...\n", + "( 28.80 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.80 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.80 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.80 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.80 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.81 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.81 sec) Clustered ROM : DEBUG -> Training segment 322 slice(7728, 7752, None)\n", + "( 28.81 sec) ARMA : DEBUG -> Training...\n", + "( 28.81 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.81 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.81 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.81 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.81 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.82 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.82 sec) Clustered ROM : DEBUG -> Training segment 323 slice(7752, 7776, None)\n", + "( 28.82 sec) ARMA : DEBUG -> Training...\n", + "( 28.82 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.82 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.82 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.82 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.82 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.83 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.83 sec) Clustered ROM : DEBUG -> Training segment 324 slice(7776, 7800, None)\n", + "( 28.83 sec) ARMA : DEBUG -> Training...\n", + "( 28.83 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.83 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.83 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.83 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.83 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.84 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.84 sec) Clustered ROM : DEBUG -> Training segment 325 slice(7800, 7824, None)\n", + "( 28.84 sec) ARMA : DEBUG -> Training...\n", + "( 28.84 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.84 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.84 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.84 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.84 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.85 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.85 sec) Clustered ROM : DEBUG -> Training segment 326 slice(7824, 7848, None)\n", + "( 28.85 sec) ARMA : DEBUG -> Training...\n", + "( 28.85 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.85 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.85 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.85 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.85 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.86 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.86 sec) Clustered ROM : DEBUG -> Training segment 327 slice(7848, 7872, None)\n", + "( 28.86 sec) ARMA : DEBUG -> Training...\n", + "( 28.86 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.86 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.86 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.86 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.86 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.90 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.90 sec) Clustered ROM : DEBUG -> Training segment 328 slice(7872, 7896, None)\n", + "( 28.90 sec) ARMA : DEBUG -> Training...\n", + "( 28.90 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.90 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.90 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.90 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.90 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.91 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.91 sec) Clustered ROM : DEBUG -> Training segment 329 slice(7896, 7920, None)\n", + "( 28.91 sec) ARMA : DEBUG -> Training...\n", + "( 28.91 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.91 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.91 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.91 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.91 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.92 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.92 sec) Clustered ROM : DEBUG -> Training segment 330 slice(7920, 7944, None)\n", + "( 28.92 sec) ARMA : DEBUG -> Training...\n", + "( 28.92 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.92 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.92 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.92 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.92 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.94 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.94 sec) Clustered ROM : DEBUG -> Training segment 331 slice(7944, 7968, None)\n", + "( 28.94 sec) ARMA : DEBUG -> Training...\n", + "( 28.94 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.94 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.94 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.94 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.94 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.95 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.95 sec) Clustered ROM : DEBUG -> Training segment 332 slice(7968, 7992, None)\n", + "( 28.95 sec) ARMA : DEBUG -> Training...\n", + "( 28.95 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.95 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.95 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.95 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.95 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.96 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.96 sec) Clustered ROM : DEBUG -> Training segment 333 slice(7992, 8016, None)\n", + "( 28.96 sec) ARMA : DEBUG -> Training...\n", + "( 28.96 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.96 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.96 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.96 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.96 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 28.97 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 28.97 sec) Clustered ROM : DEBUG -> Training segment 334 slice(8016, 8040, None)\n", + "( 28.97 sec) ARMA : DEBUG -> Training...\n", + "( 28.97 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 28.97 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 28.97 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 28.97 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 28.97 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.00 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.00 sec) Clustered ROM : DEBUG -> Training segment 335 slice(8040, 8064, None)\n", + "( 29.00 sec) ARMA : DEBUG -> Training...\n", + "( 29.00 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.00 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.00 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.00 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.00 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.01 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.01 sec) Clustered ROM : DEBUG -> Training segment 336 slice(8064, 8088, None)\n", + "( 29.01 sec) ARMA : DEBUG -> Training...\n", + "( 29.01 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.01 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.01 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.01 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.01 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.02 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.02 sec) Clustered ROM : DEBUG -> Training segment 337 slice(8088, 8112, None)\n", + "( 29.02 sec) ARMA : DEBUG -> Training...\n", + "( 29.02 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.02 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.02 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.02 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.03 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.05 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.05 sec) Clustered ROM : DEBUG -> Training segment 338 slice(8112, 8136, None)\n", + "( 29.05 sec) ARMA : DEBUG -> Training...\n", + "( 29.05 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.05 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.05 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.05 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.05 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.07 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.07 sec) Clustered ROM : DEBUG -> Training segment 339 slice(8136, 8160, None)\n", + "( 29.07 sec) ARMA : DEBUG -> Training...\n", + "( 29.07 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.07 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.07 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.07 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.07 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.09 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.09 sec) Clustered ROM : DEBUG -> Training segment 340 slice(8160, 8184, None)\n", + "( 29.09 sec) ARMA : DEBUG -> Training...\n", + "( 29.09 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.09 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.09 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.09 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.09 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.10 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.10 sec) Clustered ROM : DEBUG -> Training segment 341 slice(8184, 8208, None)\n", + "( 29.10 sec) ARMA : DEBUG -> Training...\n", + "( 29.10 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.10 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.10 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.10 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.10 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.11 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.11 sec) Clustered ROM : DEBUG -> Training segment 342 slice(8208, 8232, None)\n", + "( 29.11 sec) ARMA : DEBUG -> Training...\n", + "( 29.11 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.11 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.11 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.11 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.11 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.14 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.14 sec) Clustered ROM : DEBUG -> Training segment 343 slice(8232, 8256, None)\n", + "( 29.14 sec) ARMA : DEBUG -> Training...\n", + "( 29.14 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.14 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.14 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.14 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.14 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.14 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.14 sec) Clustered ROM : DEBUG -> Training segment 344 slice(8256, 8280, None)\n", + "( 29.14 sec) ARMA : DEBUG -> Training...\n", + "( 29.14 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.14 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.14 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.14 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.14 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.16 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.16 sec) Clustered ROM : DEBUG -> Training segment 345 slice(8280, 8304, None)\n", + "( 29.16 sec) ARMA : DEBUG -> Training...\n", + "( 29.16 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.16 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.16 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.16 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.16 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.17 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.17 sec) Clustered ROM : DEBUG -> Training segment 346 slice(8304, 8328, None)\n", + "( 29.17 sec) ARMA : DEBUG -> Training...\n", + "( 29.17 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.17 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.17 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.17 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.17 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.18 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.18 sec) Clustered ROM : DEBUG -> Training segment 347 slice(8328, 8352, None)\n", + "( 29.18 sec) ARMA : DEBUG -> Training...\n", + "( 29.18 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.18 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.18 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.18 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.18 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.18 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.18 sec) Clustered ROM : DEBUG -> Training segment 348 slice(8352, 8376, None)\n", + "( 29.18 sec) ARMA : DEBUG -> Training...\n", + "( 29.18 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.18 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.18 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.18 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.18 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.20 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.20 sec) Clustered ROM : DEBUG -> Training segment 349 slice(8376, 8400, None)\n", + "( 29.20 sec) ARMA : DEBUG -> Training...\n", + "( 29.20 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.20 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.20 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.20 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.20 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.21 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.21 sec) Clustered ROM : DEBUG -> Training segment 350 slice(8400, 8424, None)\n", + "( 29.21 sec) ARMA : DEBUG -> Training...\n", + "( 29.21 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.21 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.21 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.21 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.21 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.22 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.22 sec) Clustered ROM : DEBUG -> Training segment 351 slice(8424, 8448, None)\n", + "( 29.22 sec) ARMA : DEBUG -> Training...\n", + "( 29.22 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.22 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.22 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.22 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.22 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.22 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.23 sec) Clustered ROM : DEBUG -> Training segment 352 slice(8448, 8472, None)\n", + "( 29.23 sec) ARMA : DEBUG -> Training...\n", + "( 29.23 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.23 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.23 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.23 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.23 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.23 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.23 sec) Clustered ROM : DEBUG -> Training segment 353 slice(8472, 8496, None)\n", + "( 29.23 sec) ARMA : DEBUG -> Training...\n", + "( 29.23 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.23 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.24 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.24 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.24 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.25 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.25 sec) Clustered ROM : DEBUG -> Training segment 354 slice(8496, 8520, None)\n", + "( 29.25 sec) ARMA : DEBUG -> Training...\n", + "( 29.25 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.25 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.25 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.25 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.25 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.26 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.26 sec) Clustered ROM : DEBUG -> Training segment 355 slice(8520, 8544, None)\n", + "( 29.26 sec) ARMA : DEBUG -> Training...\n", + "( 29.26 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.26 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.26 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.26 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.26 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.27 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.27 sec) Clustered ROM : DEBUG -> Training segment 356 slice(8544, 8568, None)\n", + "( 29.27 sec) ARMA : DEBUG -> Training...\n", + "( 29.27 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.27 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.27 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.27 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.27 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.28 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.28 sec) Clustered ROM : DEBUG -> Training segment 357 slice(8568, 8592, None)\n", + "( 29.28 sec) ARMA : DEBUG -> Training...\n", + "( 29.28 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.28 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.28 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.28 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.28 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.29 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.29 sec) Clustered ROM : DEBUG -> Training segment 358 slice(8592, 8616, None)\n", + "( 29.29 sec) ARMA : DEBUG -> Training...\n", + "( 29.29 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.29 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.29 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.29 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.29 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.30 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.30 sec) Clustered ROM : DEBUG -> Training segment 359 slice(8616, 8640, None)\n", + "( 29.30 sec) ARMA : DEBUG -> Training...\n", + "( 29.30 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.30 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.30 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.30 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.31 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.31 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.32 sec) Clustered ROM : DEBUG -> Training segment 360 slice(8640, 8664, None)\n", + "( 29.32 sec) ARMA : DEBUG -> Training...\n", + "( 29.32 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.32 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.32 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.32 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.32 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.34 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.34 sec) Clustered ROM : DEBUG -> Training segment 361 slice(8664, 8688, None)\n", + "( 29.34 sec) ARMA : DEBUG -> Training...\n", + "( 29.34 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.34 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.34 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.34 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.34 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.37 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.37 sec) Clustered ROM : DEBUG -> Training segment 362 slice(8688, 8712, None)\n", + "( 29.37 sec) ARMA : DEBUG -> Training...\n", + "( 29.37 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.37 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.37 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.37 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.37 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.38 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.38 sec) Clustered ROM : DEBUG -> Training segment 363 slice(8712, 8736, None)\n", + "( 29.38 sec) ARMA : DEBUG -> Training...\n", + "( 29.38 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.38 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.38 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.38 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.38 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.39 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.39 sec) Clustered ROM : DEBUG -> Training segment 364 slice(8736, 8760, None)\n", + "( 29.39 sec) ARMA : DEBUG -> Training...\n", + "( 29.39 sec) ARMA : DEBUG -> ... gathering pivot values ...\n", + "( 29.39 sec) ARMA : DEBUG -> ... analyzing Fourier signal for target \"price\" ...\n", + "( 29.39 sec) ARMA : DEBUG -> Fourier fitting condition number is 1.0e+00. Calculating all Fourier coefficients at once.\n", + "( 29.40 sec) ARMA : DEBUG -> ... analyzing ARMA properties for target \"price\" ...\n", + "( 29.40 sec) ARMA : DEBUG -> ... ... training \"price\"...\n", + "( 29.40 sec) ARMA : DEBUG -> ... ... finished training target \"price\"\n", + "( 29.45 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 29.45 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 29.49 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 29.49 sec) Interp. Cluster ROM : DEBUG -> Statepoints trained \n", + "( 32.98 sec) Interp. Cluster ROM : DEBUG -> Interpolator trained\n", + "( 32.98 sec) Interp. Cluster ROM : DEBUG -> Year 2018 is a statepoint, so no interpolation needed.\n", + "( 32.98 sec) Interp. Cluster ROM : DEBUG -> Year 2019 is a statepoint, so no interpolation needed.\n", + "( 32.98 sec) Interp. Cluster ROM : DEBUG -> Year 2020 is a statepoint, so no interpolation needed.\n", + "( 32.98 sec) Interp. Cluster ROM : DEBUG -> Year 2021 is a statepoint, so no interpolation needed.\n", + "( 32.98 sec) Interp. Cluster ROM : DEBUG -> Interpolating year 2022\n", + "( 33.98 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 33.98 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 34.01 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 34.01 sec) Interp. Cluster ROM : DEBUG -> Interpolating year 2023\n", + "( 34.98 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 34.98 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 35.02 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 35.02 sec) Interp. Cluster ROM : DEBUG -> Interpolating year 2024\n", + "( 36.11 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 36.11 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 36.15 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 36.15 sec) Interp. Cluster ROM : DEBUG -> Interpolating year 2025\n", + "( 37.10 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 37.10 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 37.13 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 37.13 sec) Interp. Cluster ROM : DEBUG -> Interpolating year 2026\n", + "( 38.13 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 38.13 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 38.16 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 38.16 sec) Interp. Cluster ROM : DEBUG -> Interpolating year 2027\n", + "( 39.17 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 39.17 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 39.21 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 39.21 sec) Interp. Cluster ROM : DEBUG -> Interpolating year 2028\n", + "( 40.18 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 40.18 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 40.21 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 40.21 sec) Interp. Cluster ROM : DEBUG -> Interpolating year 2029\n", + "( 41.35 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 41.35 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 41.38 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 41.38 sec) Interp. Cluster ROM : DEBUG -> Interpolating year 2030\n", + "( 42.43 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 42.43 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 42.46 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 42.46 sec) Interp. Cluster ROM : DEBUG -> Interpolating year 2031\n", + "( 43.51 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 43.51 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 43.55 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 43.55 sec) Interp. Cluster ROM : DEBUG -> Interpolating year 2032\n", + "( 44.54 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 44.54 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 44.57 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 44.57 sec) Interp. Cluster ROM : DEBUG -> Interpolating year 2033\n", + "( 45.59 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 45.59 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 45.62 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 45.62 sec) Interp. Cluster ROM : DEBUG -> Interpolating year 2034\n", + "( 47.01 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 47.01 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 47.11 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 47.11 sec) Interp. Cluster ROM : DEBUG -> Interpolating year 2035\n", + "( 50.22 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 50.22 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 50.32 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 50.32 sec) Interp. Cluster ROM : DEBUG -> Interpolating year 2036\n", + "( 53.28 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 53.28 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 53.38 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 53.38 sec) Interp. Cluster ROM : DEBUG -> Interpolating year 2037\n", + "( 56.39 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 56.39 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 56.47 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 56.48 sec) Interp. Cluster ROM : DEBUG -> Interpolating year 2038\n", + "( 59.44 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 59.44 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 59.53 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 59.53 sec) Interp. Cluster ROM : DEBUG -> Interpolating year 2039\n", + "( 62.65 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 62.65 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 62.73 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 62.74 sec) Interp. Cluster ROM : DEBUG -> Interpolating year 2040\n", + "( 65.71 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 65.71 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 65.79 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 65.80 sec) Interp. Cluster ROM : DEBUG -> Interpolating year 2041\n", + "( 68.71 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 68.71 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 68.79 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 68.80 sec) Interp. Cluster ROM : DEBUG -> Interpolating year 2042\n", + "( 71.77 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 71.77 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 71.85 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 71.85 sec) Interp. Cluster ROM : DEBUG -> Interpolating year 2043\n", + "( 74.78 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 74.78 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 74.88 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 74.88 sec) Interp. Cluster ROM : DEBUG -> Interpolating year 2044\n", + "( 78.01 sec) SCIKITLEARN : Warning -> Features for learning engine type \"SCIKITLEARN\" have been reset, so ROM is untrained!\n", + "( 78.01 sec) SCIKITLEARN : Warning -> The ground truth labels are not known a priori\n", + "( 78.09 sec) Clustered ROM : Message -> Identified 20 clusters while training clustered ROM \"arma\".\n", + "( 78.12 sec) STEP ROM TRAINER : Message -> *** Run finished ***\n", + "( 78.12 sec) STEP ROM TRAINER : Message -> *** Closing the step ***\n", + "( 78.12 sec) STEP ROM TRAINER : Message -> *** Step closed ***\n", + "( 78.12 sec) SIMULATION : Message -> -- End step train of type: RomTrainer --\n", + "\n", + "( 78.12 sec) SIMULATION : Message -> -- Beginning IOStep step \"meta\" ... --\n", + "( 78.12 sec) STEP IOCOMBINED : Message -> *** Beginning initialization ***\n", + "( 78.12 sec) STEP IOCOMBINED : DEBUG -> jobHandler initialized\n", + "( 78.12 sec) STEP IOCOMBINED : DEBUG -> for the role Output the item of class Print and name romMeta has been initialized\n", + "( 78.12 sec) STEP IOCOMBINED : Message -> *** Initialization done ***\n", + "( 78.12 sec) STEP IOCOMBINED : Message -> *** Beginning run ***\n", + "( 78.41 sec) STEP IOCOMBINED : DEBUG -> Adding meta \"arma\" to output \"meta\"\n", + "( 78.41 sec) DataSet : Warning -> Nothing to write to CSV! Checking metadata ...\n", + "( 78.41 sec) DataSet : DEBUG -> Printing metadata XML: \"romMeta.xml\"\n", + "( 78.58 sec) STEP IOCOMBINED : Message -> *** Run finished ***\n", + "( 78.58 sec) STEP IOCOMBINED : Message -> *** Closing the step ***\n", + "( 78.58 sec) STEP IOCOMBINED : Message -> *** Step closed ***\n", + "( 78.58 sec) SIMULATION : Message -> -- End step meta of type: IOStep --\n", + "\n", + "( 78.58 sec) SIMULATION : Message -> -- Beginning IOStep step \"serialize\" ... --\n", + "( 78.59 sec) STEP IOCOMBINED : Message -> *** Beginning initialization ***\n", + "( 78.59 sec) STEP IOCOMBINED : DEBUG -> jobHandler initialized\n", + "( 78.59 sec) STEP IOCOMBINED : Message -> *** Initialization done ***\n", + "( 78.59 sec) STEP IOCOMBINED : Message -> *** Beginning run ***\n", + "( 79.73 sec) STEP IOCOMBINED : Message -> *** Run finished ***\n", + "( 79.73 sec) STEP IOCOMBINED : Message -> *** Closing the step ***\n", + "( 79.73 sec) STEP IOCOMBINED : Message -> *** Step closed ***\n", + "( 79.73 sec) SIMULATION : Message -> -- End step serialize of type: IOStep --\n", + "\n", + "( 79.73 sec) SIMULATION : Message -> -- Beginning MultiRun step \"sample\" ... --\n", + "( 79.73 sec) STEP MULTIRUN : Message -> *** Beginning initialization ***\n", + "( 79.73 sec) STEP MULTIRUN : DEBUG -> jobHandler initialized\n", + "( 79.73 sec) STEP MULTIRUN : DEBUG -> for the role Model, the item of class ROM and name arma has been initialized\n", + "( 79.73 sec) STEP MULTIRUN : DEBUG -> for the role Output the item of class Print and name test2 has been initialized\n", + "( 79.73 sec) STEP MULTIRUN : DEBUG -> for the role Output the item of class DataSet and name synthetic has been initialized\n", + "( 79.73 sec) STEP MULTIRUN : DEBUG -> for the role Output the item of class Print and name synthetic has been initialized\n", + "( 79.73 sec) SAMPLER MONTECARLO : Message -> No restart for SAMPLER MONTECARLO\n", + "( 79.73 sec) STEP MULTIRUN : DEBUG -> for the role of sampler the item of class MonteCarlo and name mc has been initialized\n", + "( 79.73 sec) STEP MULTIRUN : DEBUG -> Sampler initialization dictionary: {'externalSeeding': None}\n", + "( 79.73 sec) STEP MULTIRUN : DEBUG -> Generating input batch of size 1\n", + "( 79.73 sec) SAMPLER MONTECARLO : DEBUG -> Sampling limit reached!\n", + "( 79.73 sec) SAMPLER MONTECARLO : DEBUG -> ... Sample point 1: {'scaling': 1}\n", + "( 79.73 sec) STEP MULTIRUN : DEBUG -> Submitted input 1\n", + "( 79.73 sec) STEP MULTIRUN : Message -> *** Initialization done ***\n", + "( 79.73 sec) STEP MULTIRUN : Message -> *** Beginning run ***\n", + "( 79.74 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", + "( 79.74 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", + "( 79.74 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 79.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 79.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 79.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 79.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 79.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 79.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 79.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 79.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 79.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 79.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 79.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 79.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 79.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 79.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 79.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 79.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 79.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 79.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 79.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 79.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 79.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 79.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 79.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 79.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 79.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 79.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 79.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 79.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 79.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 79.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 79.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 79.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 79.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 79.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 79.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 79.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 79.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 79.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 79.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 79.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 79.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 79.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 79.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 79.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 79.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 79.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 79.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 79.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 79.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 79.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 79.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 79.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 79.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 79.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 79.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 79.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 79.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 79.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 79.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 79.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 79.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 79.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 79.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 79.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 79.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 79.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 79.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 79.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 79.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 79.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 79.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 79.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 79.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 79.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 79.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 79.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 79.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 79.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 79.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 79.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 79.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 79.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 79.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 79.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 79.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 79.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 79.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 79.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 79.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 79.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 79.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 79.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 79.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 79.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 79.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 79.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 79.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 79.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 79.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 79.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 79.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 79.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 79.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 79.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 79.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 79.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 79.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 79.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 79.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 79.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 79.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 79.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 79.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 79.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 79.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 79.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 79.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 79.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 79.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 79.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 79.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 79.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 79.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 79.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 79.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 79.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 79.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 79.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 79.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 79.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 79.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 79.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 79.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 79.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 79.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 79.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 79.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 79.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 79.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 79.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 79.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 79.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 79.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 79.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 79.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 79.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 79.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 79.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 79.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 79.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 79.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 79.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 79.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 79.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 79.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 79.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 79.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 79.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 79.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 79.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 79.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 79.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 79.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 79.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 79.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 79.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 79.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 79.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 79.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 79.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 79.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 79.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 79.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 79.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 79.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 80.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 80.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 80.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 80.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 80.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 80.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 80.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 80.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 80.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 80.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 80.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 80.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 80.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 80.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 80.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 80.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 80.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 80.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 80.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 80.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 80.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 80.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 80.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 80.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 80.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 80.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 80.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 80.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 80.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 80.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 80.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 80.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 80.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 80.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 80.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 80.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 80.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 80.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 80.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 80.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 80.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 80.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 80.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 80.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 80.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 80.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 80.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 80.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 80.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 80.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 80.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 80.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 80.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 80.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 80.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 80.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 80.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 80.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 80.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 80.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 80.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 80.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 80.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 80.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 80.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 80.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 80.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 80.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 80.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 80.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 80.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 80.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 80.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 80.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 80.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 80.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 80.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 80.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 80.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 80.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 80.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 80.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 80.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 80.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 80.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 80.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 80.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 80.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 80.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 80.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 80.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 80.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 80.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 80.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 80.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 80.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 80.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 80.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 80.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 80.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 80.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 80.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 80.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 80.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 80.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 80.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 80.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 80.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 80.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 80.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 80.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 80.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 80.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 80.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 80.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 80.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 80.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 80.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 80.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 80.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 80.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 80.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 80.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 80.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 80.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 80.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 80.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 80.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 80.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 80.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 80.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 80.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 80.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 80.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 80.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 80.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 80.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 80.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 80.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 80.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 80.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 80.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 80.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 80.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 80.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 80.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 80.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 80.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 80.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 80.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 80.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 80.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 80.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 80.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 80.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 80.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 80.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 80.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 80.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 80.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 80.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 80.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 80.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 80.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 80.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 80.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 80.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 80.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 80.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 80.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 80.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 80.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 80.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 80.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 80.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 80.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 80.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 80.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 80.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 80.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 80.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 80.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 80.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 80.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 80.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 80.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 80.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 80.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 80.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 80.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 80.28 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", + "( 80.28 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 80.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 80.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 80.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 80.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 80.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 80.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 80.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 80.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 80.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 80.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 80.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 80.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 80.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 80.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 80.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 80.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 80.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 80.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 80.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 80.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 80.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 80.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 80.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 80.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 80.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 80.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 80.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 80.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 80.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 80.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 80.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 80.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 80.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 80.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 80.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 80.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 80.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 80.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 80.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 80.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 80.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 80.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 80.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 80.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 80.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 80.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 80.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 80.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 80.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 80.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 80.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 80.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 80.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 80.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 80.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 80.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 80.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 80.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 80.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 80.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 80.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 80.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 80.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 80.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 80.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 80.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 80.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 80.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 80.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 80.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 80.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 80.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 80.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 80.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 80.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 80.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 80.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 80.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 80.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 80.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 80.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 80.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 80.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 80.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 80.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 80.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 80.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 80.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 80.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 80.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 80.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 80.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 80.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 80.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 80.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 80.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 80.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 80.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 80.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 80.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 80.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 80.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 80.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 80.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 80.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 80.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 80.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 80.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 80.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 80.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 80.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 80.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 80.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 80.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 80.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 80.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 80.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 80.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 80.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 80.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 80.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 80.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 80.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 80.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 80.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 80.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 80.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 80.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 80.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 80.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 80.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 80.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 80.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 80.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 80.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 80.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 80.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 80.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 80.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 80.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 80.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 80.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 80.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 80.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 80.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 80.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 80.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 80.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 80.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 80.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 80.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 80.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 80.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 80.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 80.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 80.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 80.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 80.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 80.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 80.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 80.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 80.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 80.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 80.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 80.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 80.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 80.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 80.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 80.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 80.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 80.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 80.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 80.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 80.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 80.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 80.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 80.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 80.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 80.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 80.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 80.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 80.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 80.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 80.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 80.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 80.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 80.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 80.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 80.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 80.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 80.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 80.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 80.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 80.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 80.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 80.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 80.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 80.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 80.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 80.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 80.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 80.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 80.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 80.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 80.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 80.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 80.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 80.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 80.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 80.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 80.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 80.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 80.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 80.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 80.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 80.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 80.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 80.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 80.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 80.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 80.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 80.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 80.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 80.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 80.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 80.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 80.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 80.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 80.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 80.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 80.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 80.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 80.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 80.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 80.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 80.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 80.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 80.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 80.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 80.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 80.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 80.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 80.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 80.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 80.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 80.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 80.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 80.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 80.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 80.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 80.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 80.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 80.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 80.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 80.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 80.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 80.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 80.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 80.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 80.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 80.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 80.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 80.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 80.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 80.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 80.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 80.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 80.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 80.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 80.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 80.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 80.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 80.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 80.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 80.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 80.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 80.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 80.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 80.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 80.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 80.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 80.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 80.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 80.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 80.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 80.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 80.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 80.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 80.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 80.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 80.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 80.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 80.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 80.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 80.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 80.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 80.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 80.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 80.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 80.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 80.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 80.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 80.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 80.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 80.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 80.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 80.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 80.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 80.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 80.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 80.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 80.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 80.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 80.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 80.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 80.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 80.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 80.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 80.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 80.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 80.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 80.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 80.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 80.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 80.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 80.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 80.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 80.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 80.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 80.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 80.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 80.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 80.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 80.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 80.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 80.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 80.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 80.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 80.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 80.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 80.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 80.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 80.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 80.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 80.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 80.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 80.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 80.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 80.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 80.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 80.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 80.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 80.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 80.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 80.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 80.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 80.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 80.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 80.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 80.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 80.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 80.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 80.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 80.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 80.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 80.84 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", + "( 80.84 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 80.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 80.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 80.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 80.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 80.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 80.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 80.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 80.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 80.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 80.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 80.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 80.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 80.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 80.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 80.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 80.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 80.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 80.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 80.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 80.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 80.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 80.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 80.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 80.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 80.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 80.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 80.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 80.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 80.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 80.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 80.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 80.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 80.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 80.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 80.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 80.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 80.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 80.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 80.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 80.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 80.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 80.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 80.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 80.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 80.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 80.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 80.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 80.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 80.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 80.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 80.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 80.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 80.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 80.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 80.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 80.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 80.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 80.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 80.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 80.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 80.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 80.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 80.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 80.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 80.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 80.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 80.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 80.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 80.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 80.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 80.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 80.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 80.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 80.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 80.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 80.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 80.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 80.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 80.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 80.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 80.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 80.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 80.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 80.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 80.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 80.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 80.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 80.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 80.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 80.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 80.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 80.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 80.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 80.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 80.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 80.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 80.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 80.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 80.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 80.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 80.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 80.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 80.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 80.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 80.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 80.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 80.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 80.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 80.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 80.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 80.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 80.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 80.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 81.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 81.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 81.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 81.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 81.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 81.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 81.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 81.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 81.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 81.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 81.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 81.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 81.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 81.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 81.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 81.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 81.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 81.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 81.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 81.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 81.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 81.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 81.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 81.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 81.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 81.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 81.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 81.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 81.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 81.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 81.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 81.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 81.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 81.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 81.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 81.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 81.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 81.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 81.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 81.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 81.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 81.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 81.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 81.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 81.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 81.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 81.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 81.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 81.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 81.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 81.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 81.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 81.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 81.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 81.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 81.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 81.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 81.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 81.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 81.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 81.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 81.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 81.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 81.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 81.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 81.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 81.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 81.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 81.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 81.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 81.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 81.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 81.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 81.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 81.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 81.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 81.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 81.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 81.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 81.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 81.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 81.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 81.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 81.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 81.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 81.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 81.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 81.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 81.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 81.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 81.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 81.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 81.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 81.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 81.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 81.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 81.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 81.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 81.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 81.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 81.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 81.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 81.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 81.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 81.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 81.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 81.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 81.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 81.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 81.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 81.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 81.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 81.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 81.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 81.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 81.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 81.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 81.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 81.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 81.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 81.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 81.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 81.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 81.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 81.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 81.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 81.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 81.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 81.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 81.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 81.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 81.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 81.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 81.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 81.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 81.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 81.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 81.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 81.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 81.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 81.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 81.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 81.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 81.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 81.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 81.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 81.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 81.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 81.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 81.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 81.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 81.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 81.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 81.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 81.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 81.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 81.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 81.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 81.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 81.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 81.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 81.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 81.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 81.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 81.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 81.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 81.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 81.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 81.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 81.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 81.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 81.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 81.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 81.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 81.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 81.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 81.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 81.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 81.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 81.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 81.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 81.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 81.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 81.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 81.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 81.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 81.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 81.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 81.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 81.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 81.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 81.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 81.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 81.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 81.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 81.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 81.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 81.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 81.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 81.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 81.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 81.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 81.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 81.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 81.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 81.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 81.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 81.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 81.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 81.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 81.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 81.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 81.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 81.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 81.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 81.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 81.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 81.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 81.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 81.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 81.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 81.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 81.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 81.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 81.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 81.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 81.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 81.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 81.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 81.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 81.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 81.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 81.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 81.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 81.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 81.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 81.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 81.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 81.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 81.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 81.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 81.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 81.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 81.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 81.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 81.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 81.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 81.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 81.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 81.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 81.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 81.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 81.36 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", + "( 81.36 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 81.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 81.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 81.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 81.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 81.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 81.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 81.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 81.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 81.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 81.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 81.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 81.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 81.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 81.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 81.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 81.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 81.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 81.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 81.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 81.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 81.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 81.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 81.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 81.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 81.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 81.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 81.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 81.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 81.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 81.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 81.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 81.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 81.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 81.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 81.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 81.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 81.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 81.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 81.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 81.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 81.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 81.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 81.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 81.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 81.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 81.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 81.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 81.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 81.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 81.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 81.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 81.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 81.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 81.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 81.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 81.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 81.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 81.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 81.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 81.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 81.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 81.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 81.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 81.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 81.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 81.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 81.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 81.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 81.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 81.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 81.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 81.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 81.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 81.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 81.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 81.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 81.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 81.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 81.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 81.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 81.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 81.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 81.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 81.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 81.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 81.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 81.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 81.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 81.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 81.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 81.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 81.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 81.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 81.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 81.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 81.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 81.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 81.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 81.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 81.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 81.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 81.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 81.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 81.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 81.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 81.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 81.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 81.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 81.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 81.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 81.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 81.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 81.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 81.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 81.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 81.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 81.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 81.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 81.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 81.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 81.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 81.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 81.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 81.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 81.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 81.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 81.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 81.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 81.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 81.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 81.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 81.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 81.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 81.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 81.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 81.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 81.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 81.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 81.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 81.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 81.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 81.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 81.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 81.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 81.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 81.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 81.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 81.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 81.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 81.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 81.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 81.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 81.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 81.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 81.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 81.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 81.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 81.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 81.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 81.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 81.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 81.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 81.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 81.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 81.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 81.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 81.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 81.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 81.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 81.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 81.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 81.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 81.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 81.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 81.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 81.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 81.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 81.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 81.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 81.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 81.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 81.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 81.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 81.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 81.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 81.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 81.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 81.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 81.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 81.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 81.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 81.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 81.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 81.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 81.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 81.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 81.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 81.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 81.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 81.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 81.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 81.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 81.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 81.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 81.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 81.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 81.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 81.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 81.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 81.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 81.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 81.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 81.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 81.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 81.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 81.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 81.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 81.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 81.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 81.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 81.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 81.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 81.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 81.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 81.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 81.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 81.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 81.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 81.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 81.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 81.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 81.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 81.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 81.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 81.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 81.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 81.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 81.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 81.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 81.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 81.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 81.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 81.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 81.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 81.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 81.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 81.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 81.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 81.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 81.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 81.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 81.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 81.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 81.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 81.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 81.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 81.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 81.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 81.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 81.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 81.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 81.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 81.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 81.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 81.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 81.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 81.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 81.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 81.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 81.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 81.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 81.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 81.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 81.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 81.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 81.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 81.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 81.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 81.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 81.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 81.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 81.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 81.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 81.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 81.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 81.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 81.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 81.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 81.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 81.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 81.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 81.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 81.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 81.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 81.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 81.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 81.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 81.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 81.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 81.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 81.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 81.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 81.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 81.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 81.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 81.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 81.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 81.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 81.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 81.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 81.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 81.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 81.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 81.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 81.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 81.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 81.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 81.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 81.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 81.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 81.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 81.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 81.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 81.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 81.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 81.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 81.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 81.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 81.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 81.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 81.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 81.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 81.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 81.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 81.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 81.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 81.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 81.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 81.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 81.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 81.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 81.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 81.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 81.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 81.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 81.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 81.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 81.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 81.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 81.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 81.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 81.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 81.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 81.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 81.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 81.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 81.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 81.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 81.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 81.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 81.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 81.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 81.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 81.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 81.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 81.87 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", + "( 81.88 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 81.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 81.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 81.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 81.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 81.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 81.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 81.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 81.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 81.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 81.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 81.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 81.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 81.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 81.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 81.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 81.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 81.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 81.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 81.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 81.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 81.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 81.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 81.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 81.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 81.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 81.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 81.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 81.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 81.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 81.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 81.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 81.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 81.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 81.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 81.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 81.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 81.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 81.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 81.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 81.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 81.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 81.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 81.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 81.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 81.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 81.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 81.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 81.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 81.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 81.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 81.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 81.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 81.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 81.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 81.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 81.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 81.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 81.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 81.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 81.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 81.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 81.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 81.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 81.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 81.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 81.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 81.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 81.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 81.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 81.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 81.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 82.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 82.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 82.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 82.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 82.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 82.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 82.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 82.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 82.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 82.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 82.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 82.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 82.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 82.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 82.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 82.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 82.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 82.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 82.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 82.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 82.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 82.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 82.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 82.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 82.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 82.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 82.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 82.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 82.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 82.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 82.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 82.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 82.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 82.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 82.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 82.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 82.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 82.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 82.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 82.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 82.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 82.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 82.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 82.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 82.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 82.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 82.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 82.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 82.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 82.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 82.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 82.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 82.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 82.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 82.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 82.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 82.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 82.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 82.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 82.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 82.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 82.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 82.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 82.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 82.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 82.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 82.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 82.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 82.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 82.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 82.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 82.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 82.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 82.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 82.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 82.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 82.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 82.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 82.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 82.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 82.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 82.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 82.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 82.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 82.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 82.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 82.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 82.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 82.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 82.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 82.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 82.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 82.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 82.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 82.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 82.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 82.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 82.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 82.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 82.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 82.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 82.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 82.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 82.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 82.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 82.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 82.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 82.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 82.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 82.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 82.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 82.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 82.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 82.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 82.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 82.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 82.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 82.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 82.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 82.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 82.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 82.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 82.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 82.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 82.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 82.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 82.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 82.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 82.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 82.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 82.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 82.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 82.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 82.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 82.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 82.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 82.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 82.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 82.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 82.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 82.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 82.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 82.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 82.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 82.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 82.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 82.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 82.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 82.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 82.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 82.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 82.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 82.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 82.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 82.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 82.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 82.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 82.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 82.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 82.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 82.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 82.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 82.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 82.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 82.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 82.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 82.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 82.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 82.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 82.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 82.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 82.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 82.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 82.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 82.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 82.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 82.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 82.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 82.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 82.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 82.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 82.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 82.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 82.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 82.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 82.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 82.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 82.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 82.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 82.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 82.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 82.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 82.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 82.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 82.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 82.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 82.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 82.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 82.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 82.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 82.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 82.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 82.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 82.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 82.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 82.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 82.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 82.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 82.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 82.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 82.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 82.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 82.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 82.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 82.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 82.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 82.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 82.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 82.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 82.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 82.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 82.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 82.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 82.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 82.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 82.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 82.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 82.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 82.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 82.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 82.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 82.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 82.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 82.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 82.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 82.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 82.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 82.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 82.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 82.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 82.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 82.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 82.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 82.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 82.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 82.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 82.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 82.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 82.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 82.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 82.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 82.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 82.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 82.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 82.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 82.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 82.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 82.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 82.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 82.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 82.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 82.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 82.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 82.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 82.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 82.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 82.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 82.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 82.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 82.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 82.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 82.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 82.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 82.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 82.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 82.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 82.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 82.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 82.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 82.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 82.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 82.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 82.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 82.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 82.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 82.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 82.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 82.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 82.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 82.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 82.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 82.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 82.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 82.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 82.41 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", + "( 82.41 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 82.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 82.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 82.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 82.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 82.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 82.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 82.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 82.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 82.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 82.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 82.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 82.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 82.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 82.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 82.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 82.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 82.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 82.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 82.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 82.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 82.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 82.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 82.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 82.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 82.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 82.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 82.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 82.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 82.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 82.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 82.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 82.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 82.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 82.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 82.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 82.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 82.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 82.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 82.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 82.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 82.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 82.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 82.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 82.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 82.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 82.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 82.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 82.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 82.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 82.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 82.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 82.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 82.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 82.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 82.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 82.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 82.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 82.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 82.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 82.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 82.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 82.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 82.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 82.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 82.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 82.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 82.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 82.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 82.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 82.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 82.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 82.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 82.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 82.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 82.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 82.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 82.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 82.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 82.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 82.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 82.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 82.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 82.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 82.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 82.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 82.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 82.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 82.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 82.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 82.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 82.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 82.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 82.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 82.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 82.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 82.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 82.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 82.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 82.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 82.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 82.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 82.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 82.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 82.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 82.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 82.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 82.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 82.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 82.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 82.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 82.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 82.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 82.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 82.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 82.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 82.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 82.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 82.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 82.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 82.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 82.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 82.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 82.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 82.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 82.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 82.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 82.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 82.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 82.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 82.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 82.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 82.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 82.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 82.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 82.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 82.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 82.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 82.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 82.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 82.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 82.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 82.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 82.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 82.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 82.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 82.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 82.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 82.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 82.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 82.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 82.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 82.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 82.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 82.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 82.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 82.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 82.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 82.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 82.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 82.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 82.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 82.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 82.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 82.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 82.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 82.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 82.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 82.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 82.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 82.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 82.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 82.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 82.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 82.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 82.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 82.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 82.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 82.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 82.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 82.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 82.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 82.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 82.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 82.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 82.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 82.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 82.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 82.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 82.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 82.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 82.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 82.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 82.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 82.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 82.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 82.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 82.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 82.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 82.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 82.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 82.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 82.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 82.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 82.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 82.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 82.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 82.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 82.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 82.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 82.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 82.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 82.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 82.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 82.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 82.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 82.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 82.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 82.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 82.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 82.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 82.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 82.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 82.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 82.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 82.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 82.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 82.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 82.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 82.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 82.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 82.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 82.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 82.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 82.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 82.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 82.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 82.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 82.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 82.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 82.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 82.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 82.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 82.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 82.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 82.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 82.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 82.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 82.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 82.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 82.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 82.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 82.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 82.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 82.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 82.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 82.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 82.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 82.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 82.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 82.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 82.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 82.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 82.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 82.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 82.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 82.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 82.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 82.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 82.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 82.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 82.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 82.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 82.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 82.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 82.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 82.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 82.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 82.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 82.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 82.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 82.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 82.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 82.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 82.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 82.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 82.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 82.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 82.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 82.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 82.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 82.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 82.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 82.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 82.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 82.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 82.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 82.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 82.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 82.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 82.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 82.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 82.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 82.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 82.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 82.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 82.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 82.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 82.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 82.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 82.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 82.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 82.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 82.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 82.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 82.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 82.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 82.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 82.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 82.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 82.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 82.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 82.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 82.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 82.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 82.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 82.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 82.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 82.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 82.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 82.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 82.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 82.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 82.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 82.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 82.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 82.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 82.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 82.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 82.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 82.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 82.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 82.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 82.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 82.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 82.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 82.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 82.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 82.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 82.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 82.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 82.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 82.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 82.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 82.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 82.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 82.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 82.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 82.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 82.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 82.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 82.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 82.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 82.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 82.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 82.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 82.93 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", + "( 82.93 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 82.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 82.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 82.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 82.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 82.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 82.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 82.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 82.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 82.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 82.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 82.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 82.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 82.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 82.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 82.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 82.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 82.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 82.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 82.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 82.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 82.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 82.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 82.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 82.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 82.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 82.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 82.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 82.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 82.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 82.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 82.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 82.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 82.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 82.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 82.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 82.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 82.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 82.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 82.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 82.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 82.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 82.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 82.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 82.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 82.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 83.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 83.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 83.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 83.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 83.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 83.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 83.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 83.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 83.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 83.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 83.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 83.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 83.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 83.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 83.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 83.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 83.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 83.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 83.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 83.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 83.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 83.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 83.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 83.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 83.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 83.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 83.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 83.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 83.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 83.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 83.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 83.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 83.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 83.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 83.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 83.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 83.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 83.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 83.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 83.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 83.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 83.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 83.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 83.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 83.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 83.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 83.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 83.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 83.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 83.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 83.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 83.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 83.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 83.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 83.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 83.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 83.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 83.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 83.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 83.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 83.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 83.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 83.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 83.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 83.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 83.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 83.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 83.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 83.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 83.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 83.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 83.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 83.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 83.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 83.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 83.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 83.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 83.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 83.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 83.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 83.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 83.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 83.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 83.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 83.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 83.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 83.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 83.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 83.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 83.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 83.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 83.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 83.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 83.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 83.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 83.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 83.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 83.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 83.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 83.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 83.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 83.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 83.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 83.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 83.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 83.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 83.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 83.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 83.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 83.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 83.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 83.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 83.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 83.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 83.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 83.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 83.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 83.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 83.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 83.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 83.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 83.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 83.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 83.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 83.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 83.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 83.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 83.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 83.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 83.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 83.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 83.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 83.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 83.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 83.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 83.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 83.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 83.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 83.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 83.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 83.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 83.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 83.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 83.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 83.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 83.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 83.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 83.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 83.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 83.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 83.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 83.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 83.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 83.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 83.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 83.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 83.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 83.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 83.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 83.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 83.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 83.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 83.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 83.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 83.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 83.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 83.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 83.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 83.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 83.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 83.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 83.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 83.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 83.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 83.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 83.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 83.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 83.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 83.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 83.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 83.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 83.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 83.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 83.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 83.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 83.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 83.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 83.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 83.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 83.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 83.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 83.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 83.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 83.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 83.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 83.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 83.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 83.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 83.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 83.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 83.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 83.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 83.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 83.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 83.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 83.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 83.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 83.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 83.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 83.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 83.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 83.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 83.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 83.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 83.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 83.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 83.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 83.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 83.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 83.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 83.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 83.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 83.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 83.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 83.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 83.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 83.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 83.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 83.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 83.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 83.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 83.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 83.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 83.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 83.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 83.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 83.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 83.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 83.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 83.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 83.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 83.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 83.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 83.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 83.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 83.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 83.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 83.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 83.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 83.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 83.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 83.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 83.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 83.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 83.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 83.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 83.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 83.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 83.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 83.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 83.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 83.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 83.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 83.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 83.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 83.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 83.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 83.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 83.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 83.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 83.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 83.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 83.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 83.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 83.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 83.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 83.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 83.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 83.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 83.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 83.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 83.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 83.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 83.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 83.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 83.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 83.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 83.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 83.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 83.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 83.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 83.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 83.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 83.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 83.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 83.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 83.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 83.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 83.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 83.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 83.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 83.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 83.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 83.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 83.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 83.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 83.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 83.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 83.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 83.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 83.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 83.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 83.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 83.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 83.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 83.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 83.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 83.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 83.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 83.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 83.54 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", + "( 83.54 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 83.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 83.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 83.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 83.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 83.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 83.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 83.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 83.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 83.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 83.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 83.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 83.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 83.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 83.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 83.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 83.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 83.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 83.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 83.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 83.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 83.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 83.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 83.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 83.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 83.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 83.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 83.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 83.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 83.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 83.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 83.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 83.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 83.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 83.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 83.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 83.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 83.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 83.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 83.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 83.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 83.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 83.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 83.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 83.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 83.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 83.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 83.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 83.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 83.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 83.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 83.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 83.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 83.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 83.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 83.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 83.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 83.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 83.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 83.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 83.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 83.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 83.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 83.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 83.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 83.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 83.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 83.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 83.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 83.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 83.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 83.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 83.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 83.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 83.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 83.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 83.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 83.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 83.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 83.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 83.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 83.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 83.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 83.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 83.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 83.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 83.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 83.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 83.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 83.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 83.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 83.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 83.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 83.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 83.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 83.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 83.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 83.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 83.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 83.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 83.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 83.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 83.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 83.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 83.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 83.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 83.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 83.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 83.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 83.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 83.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 83.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 83.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 83.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 83.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 83.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 83.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 83.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 83.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 83.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 83.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 83.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 83.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 83.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 83.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 83.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 83.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 83.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 83.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 83.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 83.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 83.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 83.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 83.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 83.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 83.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 83.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 83.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 83.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 83.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 83.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 83.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 83.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 83.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 83.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 83.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 83.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 83.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 83.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 83.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 83.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 83.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 83.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 83.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 83.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 83.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 83.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 83.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 83.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 83.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 83.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 83.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 83.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 83.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 83.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 83.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 83.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 83.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 83.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 83.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 83.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 83.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 83.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 83.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 83.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 83.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 83.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 83.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 83.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 83.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 83.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 83.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 83.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 83.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 83.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 83.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 83.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 83.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 83.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 83.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 83.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 83.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 83.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 83.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 83.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 83.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 83.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 83.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 83.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 83.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 83.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 83.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 83.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 83.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 83.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 83.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 83.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 83.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 83.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 83.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 83.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 83.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 83.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 83.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 83.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 83.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 83.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 83.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 83.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 83.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 83.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 83.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 83.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 83.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 83.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 83.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 83.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 83.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 83.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 83.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 83.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 83.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 83.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 83.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 83.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 83.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 83.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 83.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 83.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 83.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 83.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 83.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 83.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 83.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 83.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 83.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 83.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 83.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 83.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 83.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 83.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 83.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 83.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 83.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 83.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 83.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 83.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 83.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 83.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 83.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 83.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 83.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 83.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 83.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 83.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 83.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 83.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 83.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 83.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 83.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 83.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 83.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 83.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 83.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 83.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 83.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 83.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 83.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 83.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 83.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 83.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 83.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 83.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 83.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 83.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 83.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 83.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 83.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 83.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 83.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 83.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 83.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 83.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 83.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 83.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 83.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 83.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 83.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 83.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 83.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 83.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 83.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 83.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 83.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 83.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 83.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 83.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 83.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 83.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 84.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 84.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 84.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 84.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 84.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 84.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 84.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 84.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 84.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 84.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 84.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 84.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 84.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 84.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 84.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 84.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 84.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 84.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 84.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 84.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 84.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 84.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 84.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 84.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 84.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 84.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 84.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 84.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 84.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 84.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 84.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 84.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 84.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 84.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 84.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 84.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 84.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 84.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 84.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 84.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 84.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 84.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 84.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 84.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 84.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 84.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 84.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 84.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 84.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 84.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 84.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 84.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 84.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 84.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 84.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 84.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 84.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 84.08 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", + "( 84.08 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 84.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 84.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 84.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 84.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 84.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 84.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 84.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 84.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 84.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 84.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 84.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 84.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 84.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 84.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 84.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 84.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 84.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 84.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 84.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 84.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 84.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 84.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 84.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 84.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 84.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 84.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 84.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 84.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 84.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 84.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 84.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 84.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 84.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 84.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 84.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 84.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 84.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 84.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 84.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 84.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 84.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 84.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 84.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 84.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 84.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 84.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 84.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 84.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 84.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 84.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 84.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 84.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 84.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 84.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 84.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 84.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 84.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 84.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 84.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 84.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 84.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 84.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 84.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 84.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 84.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 84.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 84.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 84.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 84.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 84.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 84.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 84.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 84.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 84.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 84.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 84.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 84.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 84.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 84.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 84.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 84.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 84.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 84.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 84.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 84.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 84.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 84.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 84.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 84.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 84.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 84.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 84.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 84.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 84.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 84.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 84.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 84.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 84.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 84.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 84.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 84.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 84.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 84.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 84.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 84.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 84.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 84.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 84.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 84.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 84.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 84.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 84.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 84.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 84.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 84.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 84.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 84.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 84.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 84.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 84.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 84.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 84.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 84.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 84.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 84.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 84.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 84.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 84.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 84.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 84.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 84.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 84.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 84.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 84.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 84.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 84.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 84.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 84.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 84.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 84.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 84.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 84.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 84.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 84.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 84.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 84.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 84.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 84.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 84.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 84.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 84.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 84.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 84.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 84.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 84.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 84.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 84.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 84.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 84.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 84.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 84.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 84.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 84.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 84.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 84.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 84.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 84.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 84.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 84.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 84.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 84.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 84.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 84.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 84.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 84.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 84.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 84.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 84.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 84.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 84.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 84.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 84.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 84.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 84.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 84.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 84.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 84.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 84.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 84.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 84.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 84.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 84.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 84.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 84.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 84.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 84.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 84.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 84.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 84.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 84.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 84.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 84.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 84.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 84.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 84.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 84.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 84.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 84.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 84.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 84.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 84.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 84.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 84.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 84.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 84.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 84.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 84.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 84.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 84.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 84.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 84.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 84.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 84.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 84.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 84.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 84.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 84.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 84.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 84.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 84.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 84.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 84.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 84.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 84.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 84.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 84.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 84.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 84.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 84.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 84.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 84.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 84.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 84.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 84.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 84.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 84.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 84.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 84.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 84.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 84.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 84.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 84.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 84.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 84.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 84.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 84.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 84.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 84.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 84.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 84.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 84.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 84.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 84.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 84.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 84.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 84.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 84.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 84.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 84.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 84.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 84.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 84.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 84.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 84.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 84.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 84.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 84.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 84.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 84.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 84.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 84.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 84.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 84.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 84.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 84.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 84.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 84.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 84.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 84.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 84.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 84.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 84.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 84.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 84.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 84.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 84.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 84.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 84.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 84.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 84.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 84.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 84.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 84.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 84.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 84.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 84.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 84.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 84.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 84.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 84.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 84.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 84.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 84.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 84.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 84.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 84.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 84.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 84.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 84.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 84.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 84.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 84.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 84.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 84.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 84.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 84.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 84.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 84.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 84.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 84.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 84.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 84.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 84.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 84.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 84.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 84.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 84.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 84.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 84.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 84.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 84.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 84.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 84.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 84.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 84.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 84.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 84.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 84.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 84.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 84.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 84.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 84.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 84.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 84.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 84.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 84.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 84.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 84.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 84.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 84.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 84.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 84.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 84.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 84.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 84.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 84.60 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", + "( 84.60 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 84.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 84.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 84.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 84.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 84.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 84.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 84.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 84.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 84.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 84.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 84.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 84.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 84.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 84.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 84.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 84.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 84.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 84.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 84.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 84.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 84.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 84.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 84.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 84.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 84.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 84.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 84.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 84.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 84.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 84.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 84.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 84.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 84.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 84.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 84.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 84.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 84.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 84.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 84.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 84.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 84.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 84.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 84.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 84.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 84.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 84.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 84.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 84.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 84.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 84.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 84.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 84.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 84.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 84.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 84.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 84.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 84.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 84.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 84.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 84.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 84.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 84.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 84.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 84.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 84.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 84.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 84.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 84.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 84.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 84.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 84.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 84.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 84.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 84.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 84.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 84.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 84.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 84.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 84.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 84.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 84.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 84.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 84.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 84.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 84.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 84.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 84.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 84.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 84.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 84.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 84.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 84.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 84.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 84.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 84.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 84.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 84.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 84.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 84.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 84.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 84.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 84.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 84.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 84.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 84.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 84.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 84.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 84.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 84.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 84.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 84.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 84.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 84.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 84.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 84.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 84.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 84.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 84.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 84.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 84.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 84.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 84.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 84.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 84.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 84.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 84.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 84.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 84.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 84.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 84.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 84.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 84.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 84.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 84.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 84.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 84.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 84.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 84.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 84.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 84.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 84.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 84.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 84.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 84.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 84.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 84.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 84.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 84.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 84.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 84.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 84.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 84.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 84.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 84.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 84.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 84.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 84.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 84.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 84.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 84.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 84.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 84.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 84.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 84.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 84.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 84.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 84.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 84.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 84.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 84.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 84.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 84.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 84.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 84.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 84.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 84.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 84.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 84.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 84.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 84.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 84.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 84.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 84.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 84.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 84.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 84.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 84.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 84.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 84.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 84.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 84.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 84.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 84.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 84.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 84.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 84.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 84.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 84.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 84.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 84.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 84.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 84.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 84.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 84.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 84.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 84.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 84.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 84.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 84.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 84.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 84.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 84.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 84.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 84.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 84.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 84.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 84.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 84.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 84.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 84.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 84.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 84.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 84.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 84.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 84.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 84.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 84.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 84.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 84.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 84.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 84.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 84.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 84.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 84.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 84.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 84.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 84.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 84.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 84.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 84.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 84.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 84.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 84.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 84.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 84.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 84.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 84.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 84.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 84.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 84.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 84.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 84.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 84.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 84.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 84.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 84.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 84.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 84.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 84.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 84.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 84.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 84.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 84.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 84.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 84.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 84.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 85.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 85.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 85.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 85.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 85.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 85.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 85.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 85.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 85.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 85.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 85.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 85.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 85.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 85.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 85.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 85.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 85.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 85.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 85.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 85.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 85.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 85.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 85.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 85.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 85.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 85.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 85.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 85.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 85.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 85.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 85.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 85.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 85.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 85.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 85.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 85.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 85.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 85.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 85.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 85.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 85.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 85.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 85.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 85.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 85.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 85.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 85.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 85.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 85.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 85.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 85.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 85.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 85.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 85.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 85.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 85.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 85.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 85.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 85.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 85.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 85.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 85.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 85.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 85.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 85.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 85.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 85.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 85.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 85.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 85.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 85.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 85.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 85.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 85.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 85.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 85.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 85.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 85.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 85.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 85.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 85.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 85.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 85.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 85.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 85.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 85.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 85.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 85.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 85.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 85.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 85.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 85.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 85.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 85.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 85.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 85.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 85.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 85.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 85.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 85.17 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", + "( 85.17 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 85.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 85.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 85.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 85.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 85.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 85.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 85.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 85.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 85.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 85.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 85.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 85.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 85.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 85.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 85.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 85.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 85.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 85.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 85.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 85.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 85.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 85.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 85.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 85.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 85.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 85.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 85.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 85.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 85.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 85.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 85.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 85.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 85.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 85.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 85.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 85.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 85.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 85.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 85.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 85.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 85.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 85.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 85.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 85.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 85.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 85.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 85.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 85.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 85.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 85.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 85.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 85.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 85.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 85.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 85.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 85.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 85.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 85.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 85.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 85.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 85.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 85.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 85.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 85.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 85.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 85.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 85.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 85.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 85.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 85.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 85.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 85.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 85.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 85.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 85.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 85.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 85.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 85.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 85.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 85.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 85.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 85.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 85.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 85.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 85.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 85.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 85.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 85.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 85.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 85.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 85.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 85.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 85.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 85.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 85.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 85.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 85.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 85.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 85.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 85.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 85.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 85.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 85.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 85.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 85.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 85.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 85.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 85.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 85.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 85.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 85.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 85.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 85.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 85.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 85.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 85.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 85.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 85.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 85.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 85.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 85.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 85.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 85.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 85.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 85.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 85.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 85.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 85.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 85.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 85.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 85.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 85.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 85.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 85.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 85.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 85.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 85.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 85.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 85.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 85.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 85.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 85.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 85.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 85.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 85.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 85.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 85.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 85.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 85.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 85.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 85.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 85.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 85.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 85.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 85.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 85.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 85.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 85.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 85.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 85.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 85.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 85.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 85.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 85.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 85.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 85.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 85.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 85.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 85.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 85.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 85.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 85.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 85.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 85.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 85.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 85.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 85.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 85.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 85.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 85.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 85.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 85.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 85.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 85.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 85.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 85.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 85.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 85.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 85.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 85.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 85.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 85.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 85.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 85.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 85.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 85.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 85.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 85.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 85.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 85.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 85.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 85.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 85.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 85.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 85.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 85.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 85.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 85.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 85.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 85.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 85.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 85.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 85.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 85.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 85.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 85.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 85.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 85.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 85.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 85.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 85.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 85.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 85.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 85.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 85.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 85.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 85.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 85.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 85.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 85.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 85.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 85.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 85.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 85.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 85.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 85.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 85.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 85.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 85.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 85.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 85.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 85.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 85.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 85.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 85.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 85.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 85.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 85.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 85.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 85.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 85.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 85.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 85.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 85.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 85.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 85.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 85.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 85.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 85.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 85.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 85.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 85.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 85.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 85.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 85.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 85.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 85.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 85.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 85.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 85.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 85.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 85.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 85.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 85.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 85.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 85.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 85.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 85.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 85.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 85.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 85.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 85.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 85.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 85.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 85.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 85.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 85.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 85.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 85.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 85.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 85.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 85.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 85.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 85.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 85.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 85.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 85.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 85.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 85.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 85.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 85.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 85.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 85.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 85.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 85.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 85.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 85.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 85.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 85.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 85.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 85.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 85.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 85.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 85.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 85.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 85.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 85.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 85.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 85.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 85.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 85.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 85.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 85.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 85.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 85.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 85.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 85.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 85.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 85.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 85.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 85.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 85.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 85.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 85.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 85.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 85.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 85.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 85.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 85.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 85.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 85.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 85.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 85.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 85.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 85.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 85.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 85.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 85.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 85.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 85.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 85.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 85.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 85.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 85.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 85.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 85.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 85.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 85.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 85.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 85.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 85.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 85.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 85.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 85.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 85.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 85.69 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", + "( 85.69 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 85.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 85.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 85.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 85.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 85.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 85.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 85.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 85.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 85.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 85.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 85.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 85.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 85.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 85.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 85.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 85.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 85.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 85.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 85.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 85.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 85.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 85.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 85.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 85.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 85.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 85.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 85.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 85.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 85.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 85.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 85.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 85.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 85.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 85.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 85.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 85.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 85.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 85.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 85.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 85.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 85.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 85.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 85.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 85.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 85.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 85.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 85.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 85.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 85.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 85.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 85.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 85.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 85.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 85.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 85.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 85.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 85.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 85.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 85.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 85.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 85.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 85.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 85.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 85.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 85.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 85.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 85.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 85.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 85.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 85.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 85.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 85.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 85.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 85.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 85.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 85.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 85.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 85.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 85.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 85.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 85.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 85.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 85.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 85.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 85.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 85.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 85.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 85.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 85.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 85.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 85.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 85.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 85.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 85.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 85.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 85.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 85.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 85.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 85.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 85.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 85.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 85.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 85.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 85.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 85.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 85.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 85.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 85.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 85.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 85.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 85.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 85.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 85.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 85.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 85.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 85.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 85.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 85.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 85.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 85.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 85.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 85.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 85.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 85.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 85.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 85.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 85.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 85.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 85.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 85.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 85.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 85.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 85.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 85.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 85.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 85.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 85.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 85.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 85.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 85.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 85.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 85.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 85.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 85.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 85.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 85.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 85.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 85.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 85.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 85.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 85.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 85.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 85.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 85.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 85.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 85.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 85.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 85.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 85.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 85.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 85.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 85.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 85.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 85.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 85.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 85.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 85.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 85.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 85.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 85.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 85.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 85.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 85.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 85.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 85.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 85.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 85.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 85.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 85.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 85.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 85.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 85.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 85.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 85.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 85.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 85.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 85.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 85.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 85.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 85.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 85.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 85.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 85.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 85.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 85.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 85.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 85.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 85.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 85.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 85.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 85.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 85.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 85.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 86.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 86.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 86.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 86.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 86.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 86.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 86.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 86.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 86.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 86.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 86.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 86.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 86.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 86.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 86.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 86.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 86.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 86.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 86.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 86.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 86.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 86.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 86.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 86.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 86.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 86.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 86.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 86.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 86.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 86.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 86.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 86.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 86.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 86.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 86.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 86.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 86.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 86.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 86.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 86.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 86.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 86.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 86.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 86.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 86.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 86.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 86.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 86.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 86.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 86.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 86.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 86.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 86.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 86.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 86.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 86.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 86.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 86.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 86.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 86.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 86.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 86.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 86.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 86.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 86.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 86.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 86.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 86.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 86.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 86.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 86.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 86.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 86.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 86.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 86.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 86.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 86.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 86.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 86.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 86.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 86.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 86.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 86.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 86.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 86.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 86.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 86.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 86.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 86.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 86.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 86.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 86.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 86.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 86.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 86.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 86.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 86.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 86.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 86.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 86.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 86.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 86.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 86.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 86.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 86.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 86.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 86.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 86.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 86.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 86.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 86.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 86.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 86.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 86.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 86.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 86.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 86.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 86.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 86.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 86.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 86.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 86.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 86.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 86.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 86.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 86.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 86.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 86.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 86.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 86.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 86.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 86.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 86.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 86.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 86.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 86.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 86.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 86.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 86.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 86.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 86.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 86.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 86.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 86.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 86.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 86.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 86.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 86.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 86.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 86.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 86.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 86.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 86.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 86.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 86.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 86.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 86.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 86.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 86.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 86.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 86.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 86.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 86.25 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", + "( 86.25 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 86.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 86.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 86.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 86.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 86.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 86.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 86.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 86.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 86.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 86.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 86.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 86.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 86.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 86.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 86.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 86.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 86.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 86.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 86.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 86.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 86.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 86.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 86.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 86.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 86.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 86.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 86.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 86.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 86.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 86.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 86.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 86.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 86.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 86.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 86.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 86.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 86.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 86.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 86.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 86.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 86.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 86.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 86.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 86.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 86.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 86.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 86.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 86.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 86.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 86.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 86.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 86.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 86.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 86.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 86.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 86.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 86.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 86.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 86.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 86.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 86.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 86.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 86.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 86.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 86.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 86.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 86.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 86.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 86.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 86.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 86.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 86.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 86.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 86.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 86.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 86.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 86.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 86.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 86.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 86.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 86.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 86.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 86.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 86.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 86.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 86.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 86.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 86.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 86.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 86.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 86.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 86.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 86.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 86.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 86.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 86.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 86.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 86.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 86.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 86.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 86.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 86.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 86.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 86.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 86.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 86.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 86.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 86.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 86.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 86.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 86.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 86.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 86.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 86.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 86.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 86.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 86.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 86.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 86.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 86.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 86.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 86.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 86.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 86.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 86.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 86.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 86.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 86.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 86.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 86.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 86.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 86.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 86.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 86.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 86.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 86.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 86.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 86.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 86.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 86.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 86.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 86.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 86.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 86.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 86.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 86.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 86.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 86.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 86.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 86.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 86.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 86.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 86.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 86.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 86.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 86.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 86.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 86.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 86.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 86.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 86.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 86.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 86.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 86.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 86.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 86.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 86.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 86.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 86.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 86.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 86.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 86.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 86.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 86.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 86.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 86.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 86.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 86.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 86.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 86.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 86.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 86.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 86.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 86.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 86.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 86.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 86.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 86.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 86.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 86.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 86.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 86.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 86.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 86.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 86.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 86.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 86.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 86.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 86.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 86.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 86.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 86.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 86.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 86.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 86.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 86.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 86.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 86.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 86.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 86.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 86.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 86.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 86.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 86.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 86.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 86.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 86.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 86.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 86.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 86.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 86.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 86.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 86.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 86.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 86.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 86.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 86.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 86.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 86.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 86.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 86.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 86.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 86.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 86.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 86.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 86.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 86.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 86.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 86.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 86.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 86.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 86.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 86.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 86.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 86.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 86.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 86.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 86.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 86.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 86.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 86.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 86.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 86.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 86.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 86.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 86.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 86.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 86.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 86.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 86.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 86.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 86.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 86.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 86.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 86.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 86.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 86.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 86.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 86.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 86.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 86.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 86.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 86.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 86.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 86.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 86.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 86.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 86.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 86.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 86.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 86.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 86.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 86.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 86.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 86.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 86.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 86.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 86.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 86.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 86.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 86.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 86.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 86.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 86.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 86.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 86.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 86.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 86.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 86.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 86.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 86.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 86.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 86.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 86.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 86.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 86.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 86.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 86.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 86.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 86.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 86.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 86.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 86.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 86.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 86.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 86.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 86.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 86.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 86.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 86.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 86.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 86.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 86.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 86.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 86.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 86.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 86.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 86.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 86.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 86.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 86.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 86.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 86.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 86.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 86.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 86.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 86.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 86.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 86.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 86.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 86.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 86.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 86.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 86.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 86.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 86.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 86.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 86.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 86.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 86.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 86.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 86.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 86.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 86.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 86.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 86.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 86.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 86.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 86.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 86.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 86.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 86.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 86.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 86.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 86.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 86.78 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", + "( 86.78 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 86.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 86.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 86.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 86.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 86.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 86.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 86.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 86.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 86.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 86.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 86.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 86.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 86.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 86.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 86.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 86.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 86.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 86.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 86.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 86.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 86.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 86.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 86.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 86.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 86.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 86.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 86.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 86.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 86.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 86.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 86.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 86.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 86.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 86.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 86.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 86.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 86.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 86.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 86.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 86.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 86.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 86.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 86.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 86.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 86.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 86.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 86.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 86.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 86.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 86.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 86.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 86.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 86.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 86.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 86.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 86.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 86.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 86.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 86.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 86.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 86.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 86.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 86.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 86.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 86.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 86.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 86.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 86.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 86.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 86.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 86.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 86.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 86.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 86.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 86.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 86.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 86.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 86.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 86.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 86.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 86.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 86.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 86.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 86.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 86.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 86.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 86.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 86.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 86.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 86.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 86.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 86.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 86.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 86.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 86.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 86.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 86.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 86.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 86.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 86.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 86.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 86.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 86.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 86.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 86.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 86.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 86.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 86.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 86.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 86.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 86.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 86.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 86.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 86.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 86.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 86.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 86.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 86.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 86.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 86.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 86.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 86.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 86.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 86.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 86.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 86.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 86.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 86.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 86.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 86.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 86.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 86.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 86.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 86.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 86.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 86.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 86.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 86.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 86.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 86.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 86.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 86.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 86.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 86.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 86.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 86.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 87.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 87.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 87.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 87.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 87.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 87.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 87.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 87.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 87.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 87.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 87.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 87.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 87.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 87.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 87.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 87.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 87.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 87.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 87.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 87.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 87.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 87.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 87.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 87.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 87.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 87.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 87.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 87.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 87.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 87.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 87.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 87.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 87.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 87.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 87.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 87.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 87.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 87.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 87.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 87.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 87.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 87.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 87.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 87.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 87.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 87.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 87.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 87.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 87.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 87.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 87.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 87.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 87.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 87.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 87.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 87.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 87.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 87.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 87.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 87.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 87.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 87.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 87.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 87.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 87.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 87.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 87.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 87.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 87.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 87.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 87.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 87.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 87.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 87.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 87.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 87.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 87.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 87.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 87.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 87.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 87.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 87.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 87.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 87.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 87.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 87.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 87.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 87.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 87.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 87.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 87.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 87.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 87.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 87.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 87.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 87.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 87.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 87.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 87.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 87.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 87.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 87.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 87.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 87.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 87.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 87.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 87.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 87.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 87.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 87.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 87.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 87.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 87.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 87.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 87.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 87.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 87.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 87.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 87.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 87.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 87.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 87.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 87.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 87.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 87.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 87.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 87.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 87.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 87.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 87.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 87.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 87.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 87.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 87.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 87.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 87.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 87.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 87.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 87.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 87.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 87.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 87.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 87.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 87.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 87.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 87.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 87.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 87.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 87.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 87.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 87.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 87.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 87.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 87.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 87.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 87.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 87.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 87.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 87.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 87.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 87.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 87.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 87.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 87.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 87.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 87.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 87.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 87.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 87.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 87.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 87.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 87.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 87.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 87.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 87.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 87.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 87.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 87.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 87.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 87.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 87.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 87.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 87.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 87.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 87.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 87.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 87.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 87.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 87.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 87.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 87.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 87.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 87.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 87.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 87.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 87.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 87.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 87.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 87.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 87.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 87.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 87.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 87.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 87.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 87.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 87.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 87.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 87.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 87.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 87.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 87.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 87.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 87.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 87.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 87.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 87.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 87.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 87.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 87.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 87.32 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", + "( 87.32 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 87.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 87.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 87.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 87.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 87.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 87.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 87.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 87.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 87.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 87.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 87.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 87.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 87.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 87.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 87.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 87.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 87.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 87.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 87.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 87.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 87.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 87.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 87.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 87.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 87.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 87.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 87.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 87.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 87.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 87.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 87.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 87.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 87.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 87.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 87.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 87.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 87.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 87.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 87.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 87.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 87.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 87.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 87.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 87.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 87.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 87.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 87.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 87.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 87.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 87.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 87.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 87.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 87.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 87.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 87.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 87.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 87.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 87.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 87.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 87.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 87.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 87.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 87.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 87.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 87.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 87.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 87.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 87.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 87.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 87.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 87.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 87.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 87.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 87.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 87.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 87.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 87.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 87.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 87.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 87.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 87.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 87.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 87.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 87.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 87.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 87.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 87.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 87.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 87.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 87.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 87.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 87.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 87.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 87.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 87.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 87.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 87.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 87.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 87.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 87.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 87.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 87.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 87.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 87.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 87.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 87.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 87.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 87.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 87.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 87.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 87.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 87.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 87.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 87.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 87.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 87.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 87.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 87.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 87.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 87.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 87.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 87.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 87.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 87.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 87.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 87.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 87.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 87.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 87.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 87.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 87.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 87.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 87.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 87.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 87.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 87.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 87.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 87.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 87.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 87.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 87.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 87.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 87.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 87.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 87.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 87.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 87.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 87.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 87.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 87.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 87.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 87.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 87.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 87.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 87.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 87.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 87.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 87.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 87.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 87.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 87.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 87.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 87.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 87.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 87.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 87.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 87.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 87.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 87.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 87.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 87.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 87.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 87.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 87.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 87.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 87.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 87.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 87.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 87.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 87.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 87.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 87.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 87.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 87.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 87.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 87.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 87.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 87.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 87.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 87.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 87.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 87.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 87.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 87.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 87.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 87.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 87.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 87.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 87.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 87.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 87.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 87.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 87.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 87.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 87.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 87.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 87.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 87.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 87.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 87.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 87.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 87.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 87.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 87.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 87.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 87.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 87.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 87.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 87.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 87.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 87.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 87.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 87.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 87.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 87.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 87.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 87.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 87.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 87.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 87.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 87.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 87.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 87.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 87.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 87.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 87.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 87.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 87.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 87.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 87.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 87.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 87.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 87.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 87.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 87.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 87.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 87.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 87.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 87.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 87.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 87.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 87.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 87.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 87.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 87.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 87.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 87.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 87.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 87.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 87.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 87.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 87.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 87.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 87.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 87.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 87.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 87.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 87.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 87.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 87.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 87.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 87.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 87.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 87.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 87.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 87.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 87.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 87.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 87.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 87.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 87.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 87.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 87.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 87.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 87.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 87.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 87.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 87.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 87.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 87.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 87.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 87.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 87.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 87.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 87.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 87.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 87.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 87.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 87.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 87.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 87.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 87.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 87.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 87.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 87.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 87.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 87.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 87.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 87.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 87.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 87.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 87.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 87.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 87.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 87.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 87.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 87.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 87.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 87.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 87.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 87.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 87.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 87.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 87.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 87.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 87.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 87.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 87.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 87.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 87.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 87.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 87.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 87.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 87.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 87.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 87.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 87.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 87.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 87.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 87.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 87.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 87.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 87.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 87.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 87.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 87.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 87.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 87.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 87.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 87.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 87.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 87.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 87.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 87.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 87.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 87.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 87.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 87.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 87.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 87.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 87.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 87.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 87.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 87.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 87.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 87.84 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", + "( 87.84 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 87.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 87.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 87.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 87.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 87.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 87.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 87.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 87.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 87.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 87.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 87.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 87.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 87.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 87.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 87.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 87.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 87.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 87.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 87.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 87.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 87.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 87.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 87.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 87.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 87.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 87.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 87.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 87.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 87.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 87.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 87.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 87.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 87.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 87.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 87.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 87.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 87.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 87.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 87.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 87.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 87.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 87.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 87.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 87.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 87.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 87.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 87.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 87.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 87.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 87.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 87.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 87.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 87.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 87.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 87.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 87.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 87.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 87.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 87.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 87.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 87.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 87.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 87.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 87.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 87.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 87.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 87.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 87.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 87.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 87.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 87.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 87.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 87.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 87.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 87.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 87.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 87.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 87.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 87.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 87.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 87.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 87.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 87.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 87.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 87.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 87.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 87.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 87.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 87.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 87.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 87.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 87.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 87.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 87.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 87.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 87.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 87.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 87.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 87.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 87.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 87.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 87.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 87.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 87.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 87.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 87.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 87.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 87.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 88.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 88.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 88.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 88.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 88.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 88.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 88.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 88.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 88.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 88.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 88.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 88.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 88.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 88.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 88.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 88.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 88.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 88.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 88.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 88.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 88.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 88.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 88.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 88.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 88.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 88.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 88.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 88.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 88.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 88.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 88.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 88.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 88.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 88.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 88.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 88.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 88.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 88.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 88.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 88.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 88.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 88.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 88.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 88.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 88.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 88.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 88.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 88.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 88.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 88.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 88.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 88.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 88.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 88.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 88.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 88.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 88.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 88.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 88.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 88.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 88.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 88.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 88.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 88.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 88.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 88.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 88.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 88.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 88.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 88.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 88.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 88.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 88.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 88.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 88.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 88.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 88.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 88.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 88.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 88.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 88.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 88.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 88.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 88.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 88.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 88.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 88.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 88.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 88.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 88.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 88.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 88.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 88.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 88.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 88.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 88.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 88.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 88.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 88.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 88.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 88.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 88.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 88.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 88.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 88.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 88.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 88.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 88.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 88.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 88.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 88.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 88.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 88.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 88.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 88.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 88.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 88.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 88.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 88.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 88.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 88.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 88.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 88.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 88.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 88.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 88.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 88.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 88.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 88.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 88.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 88.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 88.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 88.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 88.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 88.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 88.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 88.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 88.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 88.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 88.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 88.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 88.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 88.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 88.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 88.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 88.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 88.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 88.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 88.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 88.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 88.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 88.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 88.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 88.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 88.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 88.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 88.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 88.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 88.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 88.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 88.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 88.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 88.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 88.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 88.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 88.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 88.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 88.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 88.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 88.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 88.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 88.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 88.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 88.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 88.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 88.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 88.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 88.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 88.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 88.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 88.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 88.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 88.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 88.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 88.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 88.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 88.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 88.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 88.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 88.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 88.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 88.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 88.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 88.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 88.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 88.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 88.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 88.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 88.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 88.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 88.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 88.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 88.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 88.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 88.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 88.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 88.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 88.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 88.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 88.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 88.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 88.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 88.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 88.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 88.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 88.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 88.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 88.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 88.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 88.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 88.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 88.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 88.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 88.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 88.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 88.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 88.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 88.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 88.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 88.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 88.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 88.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 88.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 88.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 88.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 88.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 88.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 88.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 88.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 88.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 88.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 88.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 88.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 88.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 88.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 88.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 88.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 88.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 88.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 88.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 88.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 88.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 88.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 88.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 88.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 88.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 88.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 88.37 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", + "( 88.37 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 88.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 88.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 88.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 88.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 88.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 88.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 88.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 88.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 88.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 88.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 88.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 88.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 88.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 88.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 88.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 88.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 88.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 88.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 88.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 88.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 88.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 88.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 88.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 88.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 88.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 88.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 88.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 88.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 88.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 88.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 88.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 88.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 88.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 88.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 88.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 88.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 88.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 88.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 88.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 88.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 88.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 88.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 88.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 88.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 88.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 88.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 88.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 88.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 88.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 88.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 88.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 88.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 88.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 88.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 88.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 88.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 88.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 88.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 88.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 88.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 88.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 88.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 88.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 88.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 88.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 88.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 88.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 88.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 88.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 88.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 88.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 88.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 88.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 88.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 88.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 88.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 88.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 88.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 88.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 88.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 88.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 88.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 88.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 88.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 88.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 88.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 88.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 88.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 88.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 88.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 88.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 88.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 88.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 88.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 88.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 88.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 88.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 88.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 88.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 88.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 88.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 88.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 88.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 88.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 88.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 88.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 88.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 88.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 88.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 88.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 88.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 88.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 88.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 88.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 88.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 88.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 88.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 88.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 88.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 88.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 88.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 88.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 88.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 88.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 88.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 88.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 88.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 88.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 88.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 88.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 88.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 88.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 88.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 88.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 88.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 88.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 88.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 88.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 88.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 88.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 88.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 88.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 88.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 88.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 88.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 88.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 88.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 88.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 88.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 88.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 88.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 88.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 88.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 88.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 88.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 88.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 88.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 88.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 88.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 88.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 88.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 88.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 88.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 88.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 88.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 88.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 88.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 88.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 88.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 88.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 88.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 88.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 88.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 88.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 88.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 88.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 88.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 88.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 88.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 88.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 88.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 88.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 88.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 88.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 88.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 88.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 88.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 88.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 88.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 88.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 88.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 88.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 88.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 88.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 88.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 88.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 88.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 88.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 88.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 88.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 88.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 88.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 88.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 88.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 88.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 88.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 88.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 88.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 88.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 88.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 88.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 88.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 88.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 88.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 88.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 88.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 88.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 88.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 88.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 88.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 88.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 88.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 88.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 88.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 88.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 88.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 88.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 88.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 88.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 88.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 88.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 88.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 88.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 88.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 88.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 88.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 88.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 88.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 88.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 88.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 88.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 88.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 88.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 88.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 88.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 88.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 88.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 88.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 88.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 88.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 88.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 88.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 88.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 88.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 88.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 88.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 88.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 88.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 88.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 88.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 88.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 88.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 88.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 88.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 88.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 88.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 88.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 88.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 88.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 88.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 88.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 88.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 88.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 88.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 88.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 88.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 88.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 88.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 88.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 88.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 88.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 88.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 88.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 88.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 88.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 88.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 88.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 88.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 88.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 88.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 88.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 88.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 88.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 88.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 88.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 88.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 88.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 88.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 88.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 88.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 88.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 88.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 88.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 88.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 88.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 88.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 88.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 88.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 88.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 88.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 88.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 88.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 88.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 88.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 88.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 88.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 88.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 88.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 88.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 88.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 88.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 88.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 88.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 88.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 88.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 88.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 88.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 88.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 88.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 88.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 88.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 88.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 88.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 88.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 88.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 88.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 88.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 88.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 88.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 88.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 88.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 88.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 88.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 88.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 88.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 88.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 88.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 88.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 88.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 88.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 88.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 88.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 88.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 88.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 88.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 88.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 88.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 88.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 88.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 88.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 88.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 88.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 88.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 88.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 88.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 88.89 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", + "( 88.89 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 88.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 88.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 88.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 88.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 88.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 88.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 88.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 88.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 88.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 88.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 88.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 88.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 88.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 88.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 88.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 88.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 88.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 88.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 88.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 88.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 88.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 88.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 88.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 88.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 88.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 88.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 88.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 88.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 88.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 88.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 88.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 88.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 88.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 88.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 88.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 88.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 88.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 88.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 88.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 88.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 88.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 88.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 88.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 88.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 88.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 88.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 88.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 88.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 88.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 88.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 88.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 88.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 88.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 88.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 88.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 88.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 88.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 88.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 88.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 88.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 88.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 88.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 88.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 88.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 88.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 88.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 88.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 88.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 88.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 88.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 88.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 88.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 88.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 88.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 88.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 88.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 88.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 88.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 88.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 88.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 89.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 89.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 89.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 89.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 89.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 89.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 89.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 89.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 89.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 89.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 89.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 89.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 89.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 89.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 89.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 89.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 89.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 89.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 89.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 89.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 89.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 89.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 89.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 89.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 89.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 89.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 89.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 89.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 89.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 89.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 89.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 89.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 89.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 89.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 89.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 89.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 89.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 89.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 89.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 89.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 89.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 89.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 89.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 89.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 89.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 89.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 89.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 89.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 89.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 89.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 89.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 89.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 89.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 89.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 89.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 89.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 89.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 89.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 89.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 89.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 89.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 89.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 89.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 89.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 89.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 89.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 89.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 89.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 89.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 89.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 89.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 89.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 89.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 89.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 89.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 89.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 89.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 89.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 89.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 89.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 89.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 89.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 89.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 89.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 89.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 89.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 89.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 89.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 89.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 89.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 89.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 89.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 89.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 89.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 89.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 89.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 89.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 89.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 89.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 89.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 89.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 89.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 89.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 89.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 89.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 89.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 89.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 89.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 89.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 89.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 89.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 89.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 89.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 89.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 89.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 89.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 89.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 89.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 89.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 89.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 89.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 89.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 89.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 89.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 89.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 89.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 89.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 89.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 89.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 89.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 89.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 89.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 89.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 89.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 89.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 89.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 89.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 89.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 89.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 89.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 89.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 89.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 89.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 89.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 89.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 89.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 89.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 89.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 89.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 89.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 89.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 89.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 89.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 89.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 89.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 89.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 89.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 89.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 89.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 89.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 89.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 89.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 89.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 89.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 89.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 89.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 89.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 89.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 89.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 89.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 89.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 89.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 89.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 89.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 89.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 89.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 89.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 89.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 89.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 89.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 89.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 89.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 89.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 89.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 89.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 89.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 89.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 89.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 89.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 89.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 89.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 89.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 89.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 89.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 89.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 89.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 89.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 89.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 89.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 89.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 89.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 89.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 89.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 89.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 89.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 89.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 89.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 89.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 89.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 89.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 89.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 89.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 89.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 89.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 89.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 89.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 89.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 89.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 89.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 89.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 89.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 89.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 89.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 89.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 89.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 89.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 89.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 89.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 89.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 89.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 89.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 89.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 89.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 89.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 89.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 89.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 89.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 89.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 89.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 89.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 89.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 89.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 89.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 89.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 89.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 89.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 89.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 89.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 89.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 89.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 89.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 89.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 89.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 89.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 89.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 89.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 89.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 89.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 89.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 89.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 89.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 89.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 89.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 89.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 89.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 89.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 89.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 89.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 89.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 89.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 89.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 89.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 89.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 89.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 89.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 89.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 89.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 89.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 89.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 89.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 89.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 89.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 89.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 89.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 89.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 89.42 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", + "( 89.42 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 89.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 89.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 89.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 89.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 89.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 89.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 89.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 89.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 89.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 89.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 89.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 89.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 89.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 89.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 89.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 89.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 89.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 89.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 89.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 89.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 89.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 89.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 89.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 89.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 89.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 89.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 89.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 89.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 89.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 89.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 89.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 89.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 89.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 89.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 89.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 89.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 89.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 89.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 89.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 89.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 89.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 89.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 89.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 89.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 89.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 89.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 89.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 89.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 89.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 89.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 89.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 89.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 89.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 89.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 89.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 89.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 89.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 89.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 89.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 89.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 89.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 89.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 89.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 89.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 89.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 89.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 89.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 89.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 89.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 89.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 89.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 89.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 89.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 89.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 89.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 89.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 89.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 89.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 89.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 89.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 89.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 89.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 89.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 89.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 89.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 89.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 89.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 89.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 89.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 89.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 89.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 89.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 89.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 89.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 89.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 89.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 89.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 89.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 89.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 89.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 89.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 89.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 89.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 89.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 89.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 89.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 89.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 89.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 89.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 89.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 89.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 89.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 89.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 89.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 89.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 89.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 89.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 89.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 89.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 89.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 89.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 89.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 89.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 89.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 89.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 89.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 89.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 89.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 89.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 89.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 89.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 89.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 89.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 89.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 89.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 89.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 89.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 89.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 89.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 89.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 89.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 89.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 89.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 89.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 89.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 89.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 89.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 89.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 89.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 89.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 89.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 89.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 89.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 89.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 89.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 89.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 89.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 89.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 89.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 89.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 89.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 89.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 89.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 89.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 89.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 89.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 89.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 89.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 89.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 89.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 89.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 89.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 89.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 89.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 89.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 89.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 89.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 89.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 89.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 89.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 89.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 89.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 89.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 89.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 89.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 89.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 89.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 89.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 89.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 89.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 89.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 89.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 89.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 89.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 89.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 89.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 89.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 89.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 89.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 89.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 89.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 89.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 89.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 89.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 89.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 89.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 89.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 89.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 89.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 89.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 89.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 89.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 89.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 89.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 89.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 89.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 89.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 89.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 89.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 89.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 89.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 89.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 89.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 89.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 89.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 89.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 89.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 89.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 89.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 89.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 89.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 89.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 89.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 89.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 89.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 89.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 89.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 89.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 89.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 89.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 89.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 89.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 89.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 89.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 89.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 89.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 89.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 89.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 89.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 89.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 89.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 89.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 89.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 89.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 89.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 89.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 89.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 89.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 89.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 89.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 89.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 89.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 89.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 89.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 89.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 89.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 89.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 89.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 89.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 89.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 89.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 89.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 89.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 89.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 89.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 89.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 89.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 89.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 89.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 89.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 89.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 89.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 89.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 89.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 89.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 89.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 89.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 89.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 89.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 89.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 89.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 89.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 89.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 89.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 89.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 89.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 89.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 89.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 89.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 89.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 89.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 89.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 89.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 89.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 89.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 89.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 89.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 89.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 89.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 89.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 89.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 89.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 89.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 89.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 89.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 89.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 89.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 89.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 89.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 89.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 89.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 89.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 89.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 89.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 89.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 89.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 89.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 89.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 89.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 89.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 89.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 89.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 89.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 89.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 89.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 89.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 89.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 89.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 89.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 89.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 89.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 89.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 89.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 89.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 89.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 89.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 89.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 89.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 89.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 89.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 89.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 89.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 89.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 89.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 89.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 89.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 89.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 89.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 89.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 89.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 89.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 89.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 89.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 89.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 89.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 89.93 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", + "( 89.93 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 89.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 89.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 89.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 89.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 89.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 89.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 89.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 89.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 89.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 89.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 89.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 89.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 89.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 89.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 89.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 89.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 89.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 89.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 89.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 89.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 89.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 89.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 89.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 89.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 89.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 89.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 89.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 89.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 89.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 89.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 89.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 89.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 89.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 89.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 89.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 89.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 89.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 89.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 89.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 89.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 89.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 89.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 89.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 89.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 90.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 90.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 90.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 90.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 90.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 90.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 90.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 90.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 90.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 90.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 90.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 90.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 90.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 90.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 90.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 90.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 90.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 90.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 90.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 90.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 90.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 90.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 90.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 90.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 90.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 90.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 90.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 90.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 90.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 90.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 90.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 90.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 90.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 90.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 90.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 90.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 90.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 90.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 90.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 90.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 90.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 90.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 90.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 90.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 90.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 90.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 90.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 90.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 90.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 90.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 90.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 90.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 90.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 90.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 90.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 90.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 90.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 90.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 90.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 90.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 90.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 90.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 90.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 90.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 90.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 90.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 90.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 90.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 90.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 90.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 90.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 90.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 90.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 90.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 90.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 90.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 90.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 90.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 90.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 90.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 90.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 90.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 90.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 90.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 90.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 90.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 90.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 90.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 90.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 90.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 90.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 90.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 90.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 90.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 90.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 90.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 90.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 90.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 90.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 90.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 90.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 90.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 90.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 90.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 90.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 90.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 90.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 90.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 90.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 90.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 90.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 90.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 90.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 90.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 90.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 90.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 90.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 90.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 90.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 90.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 90.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 90.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 90.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 90.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 90.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 90.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 90.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 90.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 90.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 90.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 90.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 90.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 90.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 90.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 90.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 90.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 90.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 90.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 90.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 90.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 90.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 90.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 90.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 90.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 90.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 90.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 90.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 90.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 90.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 90.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 90.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 90.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 90.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 90.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 90.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 90.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 90.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 90.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 90.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 90.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 90.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 90.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 90.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 90.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 90.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 90.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 90.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 90.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 90.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 90.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 90.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 90.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 90.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 90.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 90.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 90.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 90.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 90.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 90.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 90.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 90.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 90.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 90.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 90.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 90.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 90.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 90.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 90.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 90.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 90.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 90.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 90.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 90.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 90.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 90.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 90.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 90.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 90.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 90.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 90.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 90.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 90.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 90.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 90.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 90.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 90.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 90.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 90.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 90.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 90.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 90.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 90.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 90.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 90.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 90.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 90.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 90.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 90.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 90.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 90.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 90.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 90.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 90.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 90.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 90.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 90.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 90.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 90.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 90.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 90.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 90.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 90.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 90.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 90.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 90.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 90.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 90.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 90.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 90.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 90.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 90.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 90.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 90.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 90.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 90.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 90.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 90.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 90.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 90.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 90.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 90.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 90.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 90.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 90.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 90.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 90.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 90.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 90.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 90.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 90.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 90.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 90.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 90.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 90.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 90.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 90.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 90.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 90.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 90.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 90.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 90.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 90.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 90.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 90.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 90.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 90.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 90.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 90.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 90.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 90.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 90.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 90.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 90.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 90.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 90.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 90.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 90.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 90.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 90.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 90.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 90.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 90.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 90.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 90.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 90.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 90.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 90.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 90.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 90.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 90.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 90.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 90.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 90.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 90.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 90.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 90.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 90.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 90.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 90.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 90.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 90.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 90.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 90.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 90.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 90.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 90.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 90.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 90.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 90.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 90.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 90.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 90.51 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", + "( 90.51 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 90.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 90.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 90.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 90.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 90.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 90.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 90.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 90.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 90.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 90.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 90.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 90.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 90.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 90.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 90.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 90.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 90.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 90.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 90.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 90.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 90.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 90.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 90.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 90.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 90.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 90.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 90.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 90.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 90.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 90.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 90.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 90.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 90.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 90.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 90.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 90.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 90.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 90.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 90.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 90.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 90.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 90.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 90.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 90.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 90.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 90.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 90.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 90.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 90.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 90.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 90.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 90.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 90.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 90.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 90.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 90.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 90.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 90.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 90.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 90.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 90.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 90.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 90.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 90.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 90.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 90.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 90.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 90.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 90.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 90.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 90.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 90.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 90.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 90.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 90.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 90.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 90.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 90.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 90.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 90.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 90.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 90.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 90.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 90.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 90.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 90.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 90.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 90.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 90.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 90.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 90.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 90.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 90.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 90.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 90.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 90.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 90.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 90.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 90.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 90.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 90.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 90.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 90.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 90.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 90.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 90.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 90.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 90.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 90.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 90.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 90.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 90.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 90.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 90.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 90.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 90.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 90.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 90.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 90.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 90.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 90.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 90.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 90.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 90.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 90.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 90.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 90.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 90.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 90.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 90.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 90.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 90.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 90.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 90.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 90.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 90.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 90.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 90.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 90.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 90.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 90.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 90.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 90.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 90.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 90.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 90.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 90.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 90.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 90.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 90.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 90.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 90.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 90.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 90.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 90.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 90.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 90.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 90.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 90.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 90.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 90.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 90.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 90.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 90.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 90.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 90.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 90.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 90.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 90.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 90.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 90.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 90.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 90.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 90.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 90.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 90.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 90.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 90.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 90.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 90.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 90.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 90.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 90.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 90.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 90.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 90.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 90.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 90.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 90.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 90.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 90.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 90.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 90.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 90.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 90.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 90.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 90.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 90.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 90.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 90.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 90.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 90.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 90.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 90.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 90.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 90.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 90.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 90.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 90.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 90.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 90.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 90.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 90.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 90.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 90.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 90.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 90.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 90.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 90.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 90.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 90.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 90.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 90.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 90.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 90.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 90.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 90.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 90.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 90.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 90.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 90.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 90.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 90.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 90.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 90.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 90.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 90.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 90.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 90.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 90.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 90.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 90.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 90.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 90.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 90.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 90.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 90.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 90.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 90.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 90.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 90.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 90.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 90.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 90.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 90.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 90.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 90.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 90.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 90.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 90.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 90.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 90.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 90.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 90.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 90.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 90.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 90.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 90.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 90.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 90.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 90.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 90.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 90.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 90.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 90.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 90.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 90.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 90.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 90.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 90.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 90.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 90.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 90.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 90.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 90.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 90.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 90.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 90.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 90.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 90.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 90.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 90.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 90.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 90.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 90.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 90.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 90.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 90.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 90.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 90.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 90.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 90.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 90.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 90.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 90.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 90.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 90.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 90.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 90.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 90.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 90.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 90.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 90.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 90.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 90.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 90.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 90.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 90.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 90.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 90.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 90.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 90.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 90.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 90.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 90.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 90.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 90.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 90.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 90.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 90.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 90.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 90.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 90.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 90.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 90.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 90.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 90.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 90.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 90.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 90.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 90.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 90.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 90.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 90.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 90.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 90.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 90.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 90.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 90.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 90.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 90.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 90.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 90.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 90.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 91.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 91.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 91.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 91.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 91.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 91.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 91.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 91.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 91.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 91.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 91.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 91.03 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", + "( 91.03 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 91.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 91.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 91.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 91.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 91.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 91.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 91.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 91.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 91.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 91.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 91.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 91.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 91.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 91.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 91.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 91.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 91.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 91.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 91.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 91.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 91.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 91.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 91.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 91.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 91.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 91.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 91.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 91.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 91.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 91.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 91.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 91.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 91.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 91.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 91.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 91.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 91.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 91.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 91.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 91.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 91.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 91.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 91.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 91.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 91.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 91.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 91.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 91.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 91.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 91.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 91.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 91.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 91.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 91.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 91.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 91.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 91.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 91.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 91.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 91.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 91.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 91.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 91.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 91.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 91.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 91.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 91.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 91.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 91.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 91.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 91.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 91.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 91.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 91.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 91.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 91.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 91.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 91.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 91.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 91.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 91.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 91.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 91.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 91.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 91.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 91.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 91.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 91.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 91.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 91.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 91.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 91.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 91.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 91.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 91.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 91.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 91.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 91.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 91.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 91.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 91.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 91.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 91.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 91.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 91.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 91.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 91.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 91.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 91.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 91.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 91.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 91.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 91.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 91.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 91.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 91.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 91.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 91.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 91.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 91.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 91.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 91.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 91.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 91.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 91.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 91.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 91.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 91.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 91.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 91.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 91.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 91.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 91.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 91.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 91.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 91.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 91.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 91.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 91.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 91.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 91.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 91.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 91.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 91.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 91.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 91.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 91.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 91.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 91.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 91.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 91.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 91.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 91.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 91.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 91.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 91.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 91.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 91.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 91.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 91.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 91.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 91.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 91.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 91.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 91.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 91.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 91.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 91.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 91.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 91.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 91.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 91.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 91.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 91.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 91.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 91.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 91.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 91.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 91.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 91.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 91.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 91.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 91.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 91.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 91.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 91.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 91.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 91.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 91.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 91.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 91.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 91.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 91.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 91.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 91.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 91.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 91.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 91.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 91.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 91.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 91.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 91.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 91.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 91.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 91.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 91.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 91.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 91.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 91.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 91.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 91.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 91.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 91.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 91.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 91.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 91.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 91.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 91.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 91.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 91.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 91.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 91.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 91.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 91.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 91.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 91.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 91.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 91.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 91.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 91.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 91.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 91.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 91.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 91.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 91.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 91.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 91.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 91.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 91.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 91.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 91.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 91.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 91.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 91.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 91.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 91.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 91.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 91.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 91.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 91.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 91.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 91.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 91.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 91.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 91.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 91.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 91.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 91.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 91.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 91.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 91.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 91.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 91.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 91.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 91.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 91.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 91.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 91.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 91.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 91.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 91.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 91.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 91.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 91.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 91.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 91.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 91.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 91.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 91.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 91.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 91.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 91.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 91.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 91.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 91.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 91.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 91.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 91.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 91.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 91.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 91.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 91.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 91.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 91.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 91.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 91.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 91.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 91.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 91.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 91.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 91.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 91.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 91.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 91.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 91.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 91.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 91.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 91.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 91.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 91.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 91.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 91.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 91.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 91.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 91.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 91.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 91.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 91.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 91.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 91.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 91.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 91.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 91.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 91.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 91.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 91.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 91.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 91.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 91.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 91.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 91.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 91.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 91.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 91.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 91.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 91.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 91.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 91.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 91.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 91.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 91.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 91.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 91.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 91.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 91.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 91.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 91.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 91.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 91.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 91.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 91.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 91.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 91.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 91.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 91.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 91.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 91.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 91.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 91.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 91.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 91.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 91.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 91.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 91.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 91.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 91.57 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", + "( 91.57 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 91.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 91.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 91.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 91.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 91.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 91.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 91.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 91.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 91.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 91.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 91.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 91.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 91.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 91.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 91.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 91.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 91.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 91.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 91.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 91.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 91.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 91.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 91.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 91.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 91.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 91.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 91.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 91.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 91.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 91.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 91.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 91.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 91.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 91.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 91.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 91.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 91.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 91.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 91.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 91.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 91.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 91.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 91.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 91.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 91.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 91.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 91.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 91.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 91.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 91.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 91.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 91.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 91.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 91.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 91.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 91.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 91.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 91.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 91.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 91.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 91.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 91.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 91.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 91.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 91.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 91.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 91.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 91.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 91.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 91.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 91.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 91.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 91.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 91.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 91.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 91.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 91.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 91.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 91.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 91.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 91.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 91.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 91.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 91.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 91.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 91.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 91.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 91.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 91.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 91.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 91.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 91.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 91.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 91.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 91.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 91.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 91.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 91.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 91.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 91.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 91.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 91.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 91.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 91.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 91.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 91.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 91.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 91.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 91.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 91.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 91.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 91.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 91.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 91.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 91.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 91.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 91.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 91.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 91.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 91.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 91.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 91.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 91.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 91.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 91.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 91.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 91.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 91.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 91.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 91.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 91.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 91.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 91.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 91.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 91.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 91.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 91.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 91.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 91.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 91.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 91.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 91.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 91.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 91.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 91.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 91.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 91.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 91.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 91.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 91.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 91.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 91.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 91.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 91.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 91.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 91.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 91.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 91.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 91.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 91.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 91.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 91.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 91.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 91.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 91.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 91.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 91.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 91.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 91.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 91.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 91.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 91.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 91.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 91.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 91.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 91.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 91.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 91.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 91.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 91.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 91.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 91.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 91.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 91.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 91.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 91.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 91.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 91.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 91.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 91.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 91.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 91.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 91.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 91.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 91.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 91.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 91.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 91.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 91.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 91.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 91.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 91.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 91.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 91.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 91.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 91.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 91.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 91.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 91.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 91.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 91.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 91.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 91.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 91.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 91.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 91.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 91.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 91.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 91.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 91.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 91.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 91.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 91.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 91.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 91.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 91.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 91.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 91.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 91.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 91.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 91.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 91.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 91.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 91.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 91.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 91.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 91.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 91.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 91.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 91.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 91.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 91.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 91.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 91.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 91.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 91.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 91.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 91.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 91.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 91.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 91.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 91.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 91.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 91.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 91.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 91.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 91.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 91.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 91.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 91.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 91.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 91.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 91.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 91.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 91.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 91.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 91.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 91.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 91.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 91.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 91.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 91.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 91.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 91.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 91.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 91.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 91.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 91.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 91.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 91.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 91.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 91.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 91.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 91.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 91.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 91.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 91.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 91.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 91.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 91.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 91.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 91.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 91.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 91.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 91.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 91.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 91.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 91.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 91.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 91.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 91.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 91.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 91.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 91.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 91.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 91.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 91.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 91.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 91.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 91.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 91.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 92.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 92.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 92.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 92.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 92.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 92.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 92.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 92.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 92.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 92.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 92.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 92.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 92.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 92.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 92.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 92.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 92.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 92.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 92.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 92.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 92.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 92.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 92.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 92.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 92.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 92.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 92.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 92.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 92.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 92.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 92.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 92.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 92.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 92.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 92.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 92.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 92.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 92.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 92.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 92.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 92.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 92.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 92.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 92.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 92.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 92.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 92.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 92.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 92.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 92.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 92.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 92.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 92.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 92.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 92.08 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", + "( 92.08 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 92.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 92.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 92.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 92.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 92.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 92.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 92.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 92.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 92.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 92.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 92.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 92.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 92.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 92.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 92.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 92.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 92.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 92.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 92.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 92.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 92.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 92.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 92.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 92.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 92.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 92.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 92.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 92.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 92.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 92.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 92.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 92.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 92.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 92.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 92.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 92.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 92.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 92.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 92.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 92.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 92.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 92.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 92.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 92.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 92.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 92.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 92.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 92.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 92.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 92.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 92.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 92.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 92.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 92.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 92.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 92.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 92.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 92.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 92.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 92.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 92.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 92.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 92.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 92.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 92.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 92.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 92.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 92.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 92.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 92.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 92.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 92.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 92.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 92.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 92.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 92.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 92.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 92.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 92.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 92.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 92.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 92.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 92.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 92.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 92.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 92.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 92.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 92.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 92.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 92.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 92.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 92.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 92.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 92.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 92.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 92.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 92.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 92.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 92.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 92.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 92.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 92.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 92.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 92.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 92.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 92.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 92.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 92.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 92.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 92.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 92.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 92.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 92.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 92.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 92.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 92.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 92.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 92.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 92.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 92.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 92.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 92.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 92.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 92.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 92.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 92.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 92.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 92.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 92.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 92.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 92.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 92.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 92.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 92.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 92.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 92.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 92.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 92.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 92.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 92.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 92.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 92.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 92.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 92.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 92.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 92.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 92.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 92.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 92.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 92.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 92.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 92.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 92.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 92.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 92.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 92.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 92.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 92.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 92.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 92.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 92.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 92.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 92.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 92.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 92.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 92.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 92.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 92.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 92.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 92.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 92.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 92.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 92.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 92.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 92.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 92.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 92.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 92.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 92.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 92.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 92.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 92.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 92.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 92.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 92.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 92.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 92.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 92.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 92.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 92.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 92.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 92.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 92.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 92.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 92.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 92.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 92.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 92.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 92.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 92.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 92.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 92.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 92.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 92.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 92.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 92.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 92.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 92.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 92.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 92.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 92.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 92.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 92.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 92.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 92.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 92.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 92.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 92.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 92.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 92.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 92.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 92.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 92.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 92.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 92.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 92.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 92.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 92.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 92.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 92.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 92.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 92.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 92.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 92.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 92.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 92.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 92.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 92.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 92.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 92.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 92.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 92.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 92.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 92.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 92.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 92.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 92.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 92.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 92.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 92.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 92.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 92.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 92.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 92.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 92.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 92.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 92.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 92.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 92.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 92.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 92.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 92.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 92.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 92.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 92.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 92.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 92.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 92.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 92.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 92.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 92.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 92.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 92.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 92.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 92.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 92.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 92.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 92.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 92.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 92.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 92.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 92.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 92.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 92.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 92.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 92.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 92.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 92.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 92.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 92.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 92.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 92.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 92.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 92.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 92.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 92.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 92.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 92.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 92.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 92.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 92.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 92.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 92.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 92.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 92.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 92.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 92.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 92.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 92.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 92.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 92.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 92.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 92.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 92.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 92.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 92.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 92.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 92.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 92.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 92.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 92.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 92.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 92.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 92.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 92.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 92.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 92.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 92.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 92.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 92.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 92.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 92.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 92.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 92.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 92.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 92.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 92.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 92.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 92.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 92.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 92.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 92.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 92.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 92.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 92.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 92.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 92.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 92.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 92.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 92.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 92.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 92.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 92.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 92.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 92.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 92.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 92.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 92.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 92.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 92.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 92.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 92.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 92.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 92.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 92.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 92.60 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", + "( 92.60 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 92.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 92.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 92.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 92.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 92.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 92.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 92.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 92.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 92.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 92.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 92.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 92.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 92.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 92.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 92.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 92.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 92.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 92.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 92.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 92.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 92.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 92.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 92.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 92.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 92.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 92.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 92.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 92.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 92.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 92.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 92.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 92.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 92.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 92.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 92.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 92.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 92.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 92.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 92.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 92.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 92.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 92.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 92.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 92.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 92.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 92.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 92.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 92.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 92.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 92.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 92.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 92.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 92.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 92.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 92.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 92.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 92.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 92.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 92.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 92.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 92.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 92.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 92.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 92.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 92.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 92.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 92.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 92.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 92.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 92.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 92.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 92.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 92.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 92.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 92.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 92.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 92.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 92.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 92.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 92.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 92.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 92.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 92.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 92.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 92.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 92.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 92.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 92.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 92.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 92.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 92.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 92.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 92.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 92.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 92.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 92.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 92.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 92.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 92.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 92.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 92.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 92.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 92.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 92.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 92.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 92.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 92.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 92.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 92.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 92.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 92.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 92.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 92.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 92.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 92.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 92.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 92.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 92.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 92.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 92.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 92.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 92.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 92.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 92.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 92.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 92.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 92.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 92.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 92.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 92.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 92.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 92.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 92.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 92.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 92.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 92.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 92.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 92.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 92.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 92.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 92.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 92.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 92.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 92.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 92.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 92.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 92.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 92.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 92.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 92.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 92.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 92.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 92.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 92.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 92.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 92.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 92.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 92.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 92.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 92.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 92.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 92.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 92.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 92.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 92.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 92.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 92.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 92.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 92.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 92.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 92.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 92.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 92.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 92.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 92.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 92.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 92.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 92.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 92.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 92.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 92.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 92.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 92.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 92.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 92.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 92.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 92.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 92.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 92.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 92.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 92.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 92.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 92.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 92.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 92.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 92.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 92.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 92.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 92.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 92.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 92.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 92.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 92.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 92.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 92.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 92.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 92.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 92.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 92.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 92.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 92.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 92.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 92.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 92.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 92.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 92.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 92.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 92.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 92.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 92.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 92.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 92.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 92.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 92.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 92.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 92.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 92.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 92.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 92.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 92.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 92.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 92.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 92.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 92.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 92.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 92.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 92.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 92.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 92.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 92.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 92.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 92.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 92.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 92.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 92.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 92.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 92.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 92.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 92.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 92.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 92.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 92.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 92.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 92.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 92.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 92.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 92.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 92.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 92.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 92.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 92.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 92.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 92.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 92.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 92.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 92.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 92.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 92.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 92.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 92.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 92.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 92.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 92.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 92.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 92.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 92.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 93.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 93.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 93.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 93.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 93.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 93.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 93.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 93.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 93.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 93.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 93.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 93.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 93.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 93.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 93.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 93.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 93.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 93.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 93.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 93.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 93.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 93.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 93.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 93.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 93.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 93.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 93.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 93.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 93.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 93.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 93.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 93.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 93.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 93.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 93.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 93.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 93.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 93.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 93.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 93.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 93.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 93.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 93.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 93.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 93.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 93.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 93.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 93.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 93.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 93.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 93.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 93.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 93.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 93.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 93.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 93.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 93.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 93.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 93.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 93.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 93.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 93.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 93.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 93.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 93.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 93.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 93.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 93.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 93.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 93.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 93.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 93.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 93.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 93.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 93.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 93.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 93.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 93.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 93.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 93.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 93.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 93.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 93.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 93.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 93.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 93.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 93.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 93.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 93.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 93.13 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", + "( 93.13 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 93.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 93.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 93.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 93.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 93.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 93.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 93.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 93.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 93.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 93.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 93.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 93.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 93.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 93.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 93.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 93.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 93.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 93.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 93.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 93.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 93.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 93.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 93.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 93.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 93.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 93.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 93.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 93.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 93.16 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 93.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 93.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 93.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 93.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 93.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 93.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 93.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 93.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 93.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 93.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 93.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 93.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 93.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 93.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 93.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 93.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 93.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 93.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 93.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 93.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 93.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 93.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 93.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 93.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 93.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 93.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 93.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 93.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 93.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 93.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 93.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 93.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 93.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 93.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 93.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 93.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 93.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 93.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 93.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 93.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 93.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 93.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 93.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 93.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 93.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 93.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 93.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 93.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 93.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 93.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 93.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 93.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 93.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 93.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 93.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 93.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 93.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 93.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 93.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 93.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 93.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 93.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 93.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 93.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 93.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 93.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 93.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 93.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 93.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 93.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 93.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 93.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 93.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 93.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 93.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 93.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 93.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 93.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 93.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 93.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 93.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 93.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 93.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 93.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 93.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 93.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 93.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 93.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 93.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 93.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 93.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 93.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 93.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 93.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 93.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 93.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 93.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 93.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 93.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 93.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 93.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 93.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 93.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 93.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 93.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 93.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 93.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 93.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 93.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 93.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 93.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 93.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 93.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 93.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 93.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 93.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 93.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 93.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 93.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 93.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 93.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 93.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 93.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 93.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 93.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 93.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 93.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 93.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 93.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 93.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 93.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 93.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 93.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 93.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 93.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 93.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 93.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 93.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 93.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 93.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 93.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 93.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 93.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 93.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 93.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 93.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 93.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 93.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 93.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 93.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 93.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 93.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 93.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 93.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 93.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 93.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 93.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 93.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 93.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 93.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 93.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 93.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 93.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 93.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 93.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 93.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 93.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 93.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 93.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 93.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 93.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 93.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 93.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 93.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 93.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 93.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 93.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 93.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 93.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 93.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 93.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 93.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 93.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 93.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 93.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 93.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 93.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 93.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 93.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 93.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 93.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 93.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 93.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 93.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 93.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 93.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 93.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 93.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 93.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 93.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 93.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 93.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 93.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 93.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 93.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 93.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 93.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 93.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 93.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 93.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 93.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 93.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 93.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 93.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 93.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 93.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 93.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 93.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 93.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 93.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 93.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 93.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 93.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 93.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 93.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 93.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 93.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 93.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 93.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 93.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 93.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 93.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 93.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 93.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 93.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 93.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 93.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 93.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 93.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 93.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 93.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 93.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 93.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 93.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 93.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 93.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 93.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 93.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 93.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 93.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 93.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 93.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 93.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 93.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 93.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 93.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 93.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 93.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 93.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 93.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 93.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 93.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 93.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 93.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 93.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 93.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 93.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 93.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 93.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 93.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 93.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 93.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 93.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 93.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 93.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 93.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 93.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 93.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 93.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 93.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 93.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 93.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 93.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 93.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 93.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 93.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 93.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 93.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 93.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 93.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 93.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 93.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 93.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 93.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 93.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 93.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 93.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 93.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 93.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 93.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 93.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 93.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 93.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 93.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 93.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 93.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 93.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 93.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 93.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 93.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 93.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 93.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 93.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 93.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 93.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 93.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 93.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 93.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 93.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 93.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 93.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 93.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 93.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 93.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 93.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 93.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 93.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 93.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 93.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 93.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 93.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 93.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 93.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 93.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 93.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 93.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 93.65 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", + "( 93.65 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 93.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 93.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 93.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 93.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 93.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 93.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 93.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 93.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 93.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 93.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 93.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 93.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 93.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 93.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 93.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 93.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 93.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 93.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 93.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 93.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 93.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 93.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 93.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 93.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 93.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 93.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 93.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 93.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 93.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 93.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 93.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 93.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 93.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 93.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 93.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 93.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 93.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 93.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 93.69 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 93.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 93.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 93.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 93.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 93.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 93.70 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 93.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 93.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 93.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 93.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 93.71 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 93.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 93.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 93.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 93.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 93.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 93.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 93.72 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 93.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 93.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 93.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 93.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 93.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 93.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 93.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 93.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 93.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 93.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 93.73 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 93.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 93.74 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 93.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 93.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 93.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 93.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 93.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 93.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 93.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 93.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 93.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 93.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 93.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 93.75 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 93.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 93.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 93.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 93.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 93.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 93.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 93.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 93.76 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 93.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 93.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 93.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 93.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 93.77 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 93.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 93.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 93.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 93.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 93.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 93.78 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 93.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 93.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 93.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 93.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 93.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 93.79 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 93.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 93.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 93.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 93.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 93.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 93.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 93.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 93.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 93.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 93.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 93.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 93.80 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 93.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 93.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 93.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 93.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 93.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 93.81 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 93.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 93.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 93.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 93.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 93.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 93.82 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 93.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 93.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 93.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 93.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 93.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 93.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 93.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 93.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 93.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 93.83 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 93.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 93.84 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 93.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 93.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 93.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 93.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 93.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 93.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 93.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 93.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 93.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 93.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 93.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 93.85 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 93.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 93.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 93.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 93.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 93.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 93.86 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 93.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 93.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 93.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 93.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 93.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 93.87 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 93.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 93.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 93.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 93.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 93.88 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 93.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 93.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 93.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 93.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 93.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 93.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 93.89 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 93.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 93.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 93.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 93.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 93.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 93.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 93.90 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 93.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 93.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 93.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 93.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 93.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 93.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 93.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 93.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 93.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 93.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 93.91 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 93.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 93.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 93.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 93.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 93.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 93.92 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 93.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 93.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 93.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 93.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 93.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 93.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 93.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 93.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 93.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 93.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 93.93 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 93.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 93.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 93.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 93.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 93.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 93.94 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 93.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 93.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 93.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 93.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 93.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 93.95 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 93.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 93.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 93.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 93.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 93.96 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 93.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 93.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 93.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 93.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 93.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 93.97 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 93.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 93.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 93.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 93.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 93.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 93.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 93.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 93.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 93.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 93.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 93.98 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 93.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 93.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 93.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 93.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 93.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 93.99 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 94.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 94.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 94.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 94.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 94.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 94.00 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 94.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 94.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 94.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 94.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 94.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 94.01 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 94.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 94.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 94.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 94.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 94.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 94.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 94.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 94.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 94.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 94.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 94.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 94.02 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 94.03 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 94.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 94.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 94.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 94.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 94.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 94.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 94.04 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 94.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 94.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 94.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 94.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 94.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 94.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 94.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 94.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 94.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 94.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 94.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 94.05 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 94.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 94.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 94.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 94.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 94.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 94.06 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 94.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 94.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 94.07 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 94.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 94.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 94.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 94.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 94.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 94.08 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 94.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 94.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 94.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 94.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 94.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 94.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 94.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 94.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 94.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 94.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 94.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 94.09 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 94.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 94.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 94.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 94.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 94.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 94.10 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 94.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 94.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 94.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 94.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 94.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 94.11 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 94.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 94.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 94.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 94.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 94.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 94.12 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 94.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 94.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 94.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 94.13 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 94.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 94.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 94.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 94.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 94.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 94.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 94.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 94.14 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 94.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 94.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 94.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 94.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 94.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 94.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 94.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 94.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 94.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 94.15 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 94.17 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n", + "( 94.17 sec) Clustered ROM : DEBUG -> Sampling from 20 segments ...\n", + "( 94.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 0\n", + "( 94.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 1\n", + "( 94.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 2\n", + "( 94.17 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 3\n", + "( 94.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 4\n", + "( 94.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 5\n", + "( 94.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 6\n", + "( 94.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 7\n", + "( 94.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 8\n", + "( 94.18 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 9\n", + "( 94.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 10\n", + "( 94.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 11\n", + "( 94.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 12\n", + "( 94.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 13\n", + "( 94.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 14\n", + "( 94.19 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 15\n", + "( 94.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 16\n", + "( 94.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 17\n", + "( 94.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 18\n", + "( 94.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 19\n", + "( 94.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 20\n", + "( 94.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 21\n", + "( 94.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 22\n", + "( 94.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 23\n", + "( 94.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 24\n", + "( 94.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 25\n", + "( 94.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 26\n", + "( 94.20 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 27\n", + "( 94.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 28\n", + "( 94.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 29\n", + "( 94.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 30\n", + "( 94.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 31\n", + "( 94.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 32\n", + "( 94.21 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 33\n", + "( 94.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 34\n", + "( 94.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 35\n", + "( 94.22 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 36\n", + "( 94.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 37\n", + "( 94.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 38\n", + "( 94.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 39\n", + "( 94.23 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 40\n", + "( 94.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 41\n", + "( 94.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 42\n", + "( 94.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 43\n", + "( 94.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 44\n", + "( 94.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 45\n", + "( 94.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 46\n", + "( 94.24 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 47\n", + "( 94.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 48\n", + "( 94.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 49\n", + "( 94.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 50\n", + "( 94.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 51\n", + "( 94.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 52\n", + "( 94.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 53\n", + "( 94.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 54\n", + "( 94.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 55\n", + "( 94.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 56\n", + "( 94.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 57\n", + "( 94.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 58\n", + "( 94.25 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 59\n", + "( 94.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 60\n", + "( 94.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 61\n", + "( 94.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 62\n", + "( 94.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 63\n", + "( 94.26 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 64\n", + "( 94.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 65\n", + "( 94.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 66\n", + "( 94.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 67\n", + "( 94.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 68\n", + "( 94.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 69\n", + "( 94.27 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 70\n", + "( 94.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 71\n", + "( 94.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 72\n", + "( 94.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 73\n", + "( 94.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 74\n", + "( 94.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 75\n", + "( 94.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 76\n", + "( 94.28 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 77\n", + "( 94.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 78\n", + "( 94.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 79\n", + "( 94.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 80\n", + "( 94.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 81\n", + "( 94.29 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 82\n", + "( 94.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 83\n", + "( 94.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 84\n", + "( 94.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 85\n", + "( 94.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 86\n", + "( 94.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 87\n", + "( 94.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 88\n", + "( 94.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 89\n", + "( 94.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 90\n", + "( 94.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 91\n", + "( 94.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 92\n", + "( 94.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 93\n", + "( 94.30 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 94\n", + "( 94.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 95\n", + "( 94.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 96\n", + "( 94.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 97\n", + "( 94.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 98\n", + "( 94.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 99\n", + "( 94.31 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 100\n", + "( 94.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 101\n", + "( 94.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 102\n", + "( 94.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 103\n", + "( 94.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 104\n", + "( 94.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 105\n", + "( 94.32 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 106\n", + "( 94.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 107\n", + "( 94.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 108\n", + "( 94.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 109\n", + "( 94.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 110\n", + "( 94.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 111\n", + "( 94.33 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 112\n", + "( 94.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 113\n", + "( 94.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 114\n", + "( 94.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 115\n", + "( 94.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 116\n", + "( 94.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 117\n", + "( 94.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 118\n", + "( 94.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 119\n", + "( 94.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 120\n", + "( 94.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 121\n", + "( 94.34 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 122\n", + "( 94.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 123\n", + "( 94.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 124\n", + "( 94.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 125\n", + "( 94.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 126\n", + "( 94.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 127\n", + "( 94.35 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 128\n", + "( 94.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 129\n", + "( 94.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 130\n", + "( 94.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 131\n", + "( 94.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 132\n", + "( 94.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 133\n", + "( 94.36 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 134\n", + "( 94.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 135\n", + "( 94.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 136\n", + "( 94.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 137\n", + "( 94.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 138\n", + "( 94.37 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 139\n", + "( 94.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 140\n", + "( 94.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 141\n", + "( 94.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 142\n", + "( 94.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 143\n", + "( 94.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 144\n", + "( 94.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 145\n", + "( 94.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 146\n", + "( 94.38 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 147\n", + "( 94.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 148\n", + "( 94.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 149\n", + "( 94.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 150\n", + "( 94.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 151\n", + "( 94.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 152\n", + "( 94.39 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 153\n", + "( 94.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 154\n", + "( 94.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 155\n", + "( 94.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 156\n", + "( 94.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 157\n", + "( 94.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 158\n", + "( 94.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 159\n", + "( 94.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 160\n", + "( 94.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 161\n", + "( 94.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 162\n", + "( 94.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 163\n", + "( 94.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 164\n", + "( 94.40 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 165\n", + "( 94.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 166\n", + "( 94.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 167\n", + "( 94.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 168\n", + "( 94.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 169\n", + "( 94.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 170\n", + "( 94.41 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 171\n", + "( 94.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 172\n", + "( 94.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 173\n", + "( 94.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 174\n", + "( 94.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 175\n", + "( 94.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 176\n", + "( 94.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 177\n", + "( 94.42 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 178\n", + "( 94.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 179\n", + "( 94.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 180\n", + "( 94.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 181\n", + "( 94.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 182\n", + "( 94.43 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 183\n", + "( 94.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 184\n", + "( 94.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 185\n", + "( 94.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 186\n", + "( 94.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 187\n", + "( 94.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 188\n", + "( 94.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 189\n", + "( 94.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 190\n", + "( 94.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 191\n", + "( 94.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 192\n", + "( 94.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 193\n", + "( 94.44 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 194\n", + "( 94.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 195\n", + "( 94.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 196\n", + "( 94.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 197\n", + "( 94.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 198\n", + "( 94.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 199\n", + "( 94.45 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 200\n", + "( 94.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 201\n", + "( 94.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 202\n", + "( 94.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 203\n", + "( 94.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 204\n", + "( 94.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 205\n", + "( 94.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 206\n", + "( 94.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 207\n", + "( 94.46 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 208\n", + "( 94.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 209\n", + "( 94.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 210\n", + "( 94.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 211\n", + "( 94.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 212\n", + "( 94.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 213\n", + "( 94.47 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 214\n", + "( 94.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 215\n", + "( 94.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 216\n", + "( 94.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 217\n", + "( 94.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 218\n", + "( 94.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 219\n", + "( 94.48 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 220\n", + "( 94.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 221\n", + "( 94.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 222\n", + "( 94.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 223\n", + "( 94.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 224\n", + "( 94.49 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 225\n", + "( 94.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 226\n", + "( 94.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 227\n", + "( 94.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 228\n", + "( 94.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 229\n", + "( 94.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 230\n", + "( 94.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 231\n", + "( 94.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 232\n", + "( 94.50 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 233\n", + "( 94.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 234\n", + "( 94.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 235\n", + "( 94.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 236\n", + "( 94.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 237\n", + "( 94.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 238\n", + "( 94.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 239\n", + "( 94.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 240\n", + "( 94.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 241\n", + "( 94.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 242\n", + "( 94.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 243\n", + "( 94.51 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 244\n", + "( 94.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 245\n", + "( 94.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 246\n", + "( 94.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 247\n", + "( 94.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 248\n", + "( 94.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 249\n", + "( 94.52 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 250\n", + "( 94.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 251\n", + "( 94.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 252\n", + "( 94.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 253\n", + "( 94.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 254\n", + "( 94.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 255\n", + "( 94.53 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 256\n", + "( 94.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 257\n", + "( 94.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 258\n", + "( 94.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 259\n", + "( 94.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 260\n", + "( 94.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 261\n", + "( 94.54 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 262\n", + "( 94.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 263\n", + "( 94.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 264\n", + "( 94.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 265\n", + "( 94.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 266\n", + "( 94.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 267\n", + "( 94.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 268\n", + "( 94.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 269\n", + "( 94.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 270\n", + "( 94.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 271\n", + "( 94.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 272\n", + "( 94.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 273\n", + "( 94.55 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 274\n", + "( 94.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 275\n", + "( 94.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 276\n", + "( 94.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 277\n", + "( 94.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 278\n", + "( 94.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 279\n", + "( 94.56 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 280\n", + "( 94.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 281\n", + "( 94.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 282\n", + "( 94.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 283\n", + "( 94.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 284\n", + "( 94.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 285\n", + "( 94.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 286\n", + "( 94.57 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 287\n", + "( 94.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 288\n", + "( 94.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 289\n", + "( 94.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 290\n", + "( 94.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 291\n", + "( 94.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 292\n", + "( 94.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 293\n", + "( 94.58 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 294\n", + "( 94.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 295\n", + "( 94.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 296\n", + "( 94.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 297\n", + "( 94.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 298\n", + "( 94.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 299\n", + "( 94.59 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 300\n", + "( 94.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 301\n", + "( 94.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 302\n", + "( 94.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 303\n", + "( 94.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 304\n", + "( 94.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 305\n", + "( 94.60 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 306\n", + "( 94.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 307\n", + "( 94.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 308\n", + "( 94.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 309\n", + "( 94.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 310\n", + "( 94.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 311\n", + "( 94.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 312\n", + "( 94.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 313\n", + "( 94.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 314\n", + "( 94.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 315\n", + "( 94.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 316\n", + "( 94.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 317\n", + "( 94.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 318\n", + "( 94.61 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 319\n", + "( 94.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 320\n", + "( 94.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 321\n", + "( 94.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 322\n", + "( 94.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 323\n", + "( 94.62 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 324\n", + "( 94.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 325\n", + "( 94.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 326\n", + "( 94.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 327\n", + "( 94.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 328\n", + "( 94.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 329\n", + "( 94.63 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 330\n", + "( 94.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 331\n", + "( 94.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 332\n", + "( 94.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 333\n", + "( 94.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 334\n", + "( 94.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 335\n", + "( 94.64 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 336\n", + "( 94.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 337\n", + "( 94.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 338\n", + "( 94.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 339\n", + "( 94.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 340\n", + "( 94.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 341\n", + "( 94.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 342\n", + "( 94.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 343\n", + "( 94.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 344\n", + "( 94.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 345\n", + "( 94.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 346\n", + "( 94.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 347\n", + "( 94.65 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 348\n", + "( 94.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 349\n", + "( 94.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 350\n", + "( 94.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 351\n", + "( 94.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 352\n", + "( 94.66 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 353\n", + "( 94.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 354\n", + "( 94.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 355\n", + "( 94.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 356\n", + "( 94.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 357\n", + "( 94.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 358\n", + "( 94.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 359\n", + "( 94.67 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 360\n", + "( 94.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 361\n", + "( 94.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 362\n", + "( 94.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 363\n", + "( 94.68 sec) Clustered ROM : DEBUG -> Evaluating ROM segment 364\n", + "( 95.00 sec) PointSet : Warning -> Nothing to write to CSV! Checking metadata ...\n", + "( 95.00 sec) STEP MULTIRUN : DEBUG -> Just collected job 1 and sent to output \"test2\"\n", + "( 95.62 sec) STEP MULTIRUN : DEBUG -> Just collected job 1 and sent to output \"synthetic\"\n", + "( 95.66 sec) DataSet : DEBUG -> Had an issue with setting scaling factors for variable \"prefix\". No big deal.\n", + "( 95.66 sec) DataSet : DEBUG -> Printing data from \"synthetic\" to CSV: \"synthetic.csv\"\n", + "( 98.90 sec) DataSet : DEBUG -> Printing metadata XML: \"synthetic.xml\"\n", + "( 98.91 sec) STEP MULTIRUN : DEBUG -> Just collected job 1 and sent to output \"synthetic\"\n", + "( 98.91 sec) STEP MULTIRUN : DEBUG -> Testing if the sampler is ready to generate a new input\n", + "( 98.91 sec) SAMPLER MONTECARLO : DEBUG -> Sampling limit reached! No new samples ...\n", + "( 98.91 sec) STEP MULTIRUN : DEBUG -> ... sampler has no new inputs currently.\n", + "( 98.91 sec) SAMPLER MONTECARLO : DEBUG -> Sampling limit reached! No new samples ...\n", + "( 98.91 sec) STEP MULTIRUN : DEBUG -> Sampling finished with 1 runs submitted, 0 jobs running, and 0 completed jobs waiting to be processed.\n", + "( 98.91 sec) SAMPLER MONTECARLO : DEBUG -> ===============\n", + "( 98.91 sec) SAMPLER MONTECARLO : DEBUG -> | RUN SUMMARY |\n", + "( 98.91 sec) SAMPLER MONTECARLO : DEBUG -> ===============\n", + "( 98.91 sec) SAMPLER MONTECARLO : DEBUG -> All runs completed without returning errors.\n", + "( 98.91 sec) SAMPLER MONTECARLO : DEBUG -> ===============\n", + "( 98.91 sec) SAMPLER MONTECARLO : DEBUG -> END SUMMARY \n", + "( 98.91 sec) SAMPLER MONTECARLO : DEBUG -> ===============\n", + "( 98.91 sec) STEP MULTIRUN : Message -> *** Run finished ***\n", + "( 98.91 sec) STEP MULTIRUN : Message -> *** Closing the step ***\n", + "( 98.91 sec) STEP MULTIRUN : Message -> *** Step closed ***\n", + "( 98.91 sec) SIMULATION : Message -> -- End step sample of type: MultiRun --\n", + "\n", + "--------------------------------------------------\n", + "There were 2 warnings during the simulation run:\n", + "(2 times) Nothing to write to CSV! Checking metadata ...\n", + "--------------------------------------------------\n", + "( 98.92 sec) SIMULATION : DEBUG -> Wed Mar 15 21:25:41 2023\n", + "( 98.92 sec) SIMULATION : Message -> Run complete!\n", + "\n" + ] + } + ], + "source": [ + "# Run RAVEN. The exclaimation point implies that run this line as a shell command\n", + "!raven_framework $arma_xml_file" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "a0c5cd54", + "metadata": {}, + "source": [ "### Years Used in Demonstration\n", "Previously, we did not use the entire dataset in `lmp_signal.json`. Instead, we used the LMP signal only for the years 2022 and 2032. We assume that the plant lifetime is twenty years. We used the 2022 LMP signal for the first ten years (i.e., 2022 - 2031), and the 2032 LMP signal for the next ten years (i.e., 2032 - 2041).\n", "\n", @@ -439,7 +29602,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 7, "id": "0ada016c", "metadata": { "scrolled": true @@ -450,35 +29613,35 @@ "output_type": "stream", "text": [ "InputData: Using param spec \"pickledROM\" to read XML node \"ROM.\n", - "(3037678.70 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", - "(3037678.70 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", - "(3037679.46 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", - "(3037679.48 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", - "(3037679.51 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", - "(3037679.53 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", - "(3037679.54 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", - "(3037679.55 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", - "(3037679.57 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", - "(3037679.58 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", - "(3037679.61 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", - "(3037679.62 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", - "(3037679.66 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", - "(3037679.69 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", - "(3037679.71 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", - "(3037679.74 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", - "(3037679.76 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", - "(3037679.78 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", - "(3037679.81 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", - "(3037679.82 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", - "(3037679.84 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", - "(3037679.86 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", - "(3037679.87 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", - "(3037679.89 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", - "(3037679.90 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", - "(3037679.92 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", - "(3037679.94 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", - "(3037679.96 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", - "(3037679.97 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n" + "( 101.07 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", + "( 101.08 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", + "( 102.08 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", + "( 102.11 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", + "( 102.15 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", + "( 102.19 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", + "( 102.24 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", + "( 102.27 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", + "( 102.31 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", + "( 102.35 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", + "( 102.39 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", + "( 102.43 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", + "( 102.46 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", + "( 102.49 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", + "( 102.53 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", + "( 102.56 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", + "( 102.58 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", + "( 102.62 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", + "( 102.66 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", + "( 102.69 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", + "( 102.73 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", + "( 102.75 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", + "( 102.79 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", + "( 102.83 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", + "( 102.86 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", + "( 102.89 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", + "( 102.93 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", + "( 102.96 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", + "( 102.99 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n" ] } ], @@ -495,7 +29658,7 @@ "\n", "# location of trained ARMA model file\n", "cwd = os.getcwd()\n", - "targetFile = cwd + \"\\\\ARMA_Model\\\\arma.pk\"\n", + "targetFile = cwd + \"\\\\ARMA_Model\\\\output\\\\arma.pk\"\n", "synHistIntegration = SynHist_integration(targetFile) # this object used to generate histories\n", "\n", "# generate single synthetic history / sampled scenario\n", @@ -546,7 +29709,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 8, "id": "aac88a5a", "metadata": {}, "outputs": [], @@ -587,7 +29750,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 9, "id": "62ac5fa1", "metadata": {}, "outputs": [], @@ -606,7 +29769,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 10, "id": "97f6bb19", "metadata": {}, "outputs": [], @@ -680,7 +29843,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 11, "id": "9c21b065", "metadata": {}, "outputs": [ @@ -689,11 +29852,11 @@ "output_type": "stream", "text": [ "[+ 0.00] Beginning the formulation of the multiperiod optimization problem.\n", - "[+ 183.81] Completed the formulation of the multiperiod optimization problem.\n", - "2023-03-10 17:34:08 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "[+ 6.91] Created an instance of the flowsheet and initialized it.\n", - "[+ 14.92] Initialized the entire multiperiod optimization model.\n", - "[+ 0.48] Unfixed the degrees of freedom from each period model.\n" + "[+ 180.46] Completed the formulation of the multiperiod optimization problem.\n", + "2023-03-15 21:28:46 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "[+ 5.36] Created an instance of the flowsheet and initialized it.\n", + "[+ 12.02] Initialized the entire multiperiod optimization model.\n", + "[+ 0.35] Unfixed the degrees of freedom from each period model.\n" ] } ], @@ -736,7 +29899,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 12, "id": "22a22379", "metadata": {}, "outputs": [], @@ -808,7 +29971,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "id": "e7fcb9cb", "metadata": {}, "outputs": [], @@ -898,7 +30061,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 14, "id": "republican-diagnosis", "metadata": {}, "outputs": [], @@ -925,7 +30088,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 15, "id": "c5844dcd", "metadata": {}, "outputs": [ @@ -1771,7 +30934,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 16, "id": "899d7df8", "metadata": {}, "outputs": [ @@ -2075,7 +31238,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 17, "id": "d7355a37", "metadata": {}, "outputs": [ @@ -2122,94 +31285,99 @@ " inequality constraints with only upper bounds: 3840\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -2.3956904e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -2.9275571e+09 1.91e+05 2.04e+04 -1.0 2.80e+06 - 8.58e-04 8.91e-01f 1\n", - " 2 -2.9767610e+09 7.78e+03 1.20e+04 -1.0 5.00e+05 - 1.84e-03 9.90e-01f 1\n", - " 3 -2.9779025e+09 2.28e+02 5.69e+02 -1.0 1.00e+04 - 2.60e-01 9.71e-01f 1\n", - " 4 -2.9784987e+09 1.31e+02 4.14e+02 -1.0 4.57e+02 - 1.38e-01 4.23e-01f 1\n", - " 5 -2.9790422e+09 1.01e+02 1.39e+03 -1.0 7.47e+02 - 2.38e-01 3.51e-01f 1\n", - " 6 -2.9809519e+09 1.05e+00 2.04e+03 -1.0 6.20e+02 - 1.63e-01 1.00e+00f 1\n", - " 7 -2.9829051e+09 3.49e-01 3.00e+03 -1.0 6.35e+02 - 4.60e-01 1.00e+00f 1\n", - " 8 -2.9856685e+09 1.46e-01 9.84e+02 -1.0 1.31e+03 - 9.53e-03 1.00e+00f 1\n", - " 9 -2.9873555e+09 3.89e-03 4.09e+02 -1.0 3.09e+03 - 2.64e-01 7.85e-01f 1\n", + " 0 -2.3801872e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -2.9086321e+09 1.91e+05 2.05e+04 -1.0 2.80e+06 - 8.52e-04 8.91e-01f 1\n", + " 2 -2.9573471e+09 7.78e+03 1.21e+04 -1.0 5.00e+05 - 1.84e-03 9.90e-01f 1\n", + " 3 -2.9583279e+09 2.28e+02 5.69e+02 -1.0 1.00e+04 - 2.57e-01 9.71e-01f 1\n", + " 4 -2.9588416e+09 1.30e+02 4.14e+02 -1.0 3.96e+02 - 1.41e-01 4.23e-01f 1\n", + " 5 -2.9593213e+09 9.99e+01 1.38e+03 -1.0 7.35e+02 - 2.37e-01 3.55e-01f 1\n", + " 6 -2.9610005e+09 1.07e+00 2.04e+03 -1.0 5.50e+02 - 1.64e-01 1.00e+00f 1\n", + " 7 -2.9627601e+09 3.66e-01 3.12e+03 -1.0 5.81e+02 - 2.78e-01 1.00e+00f 1\n", + " 8 -2.9648370e+09 9.13e-02 9.21e+02 -1.0 2.33e+03 - 5.82e-03 1.00e+00f 1\n", + " 9 -2.9660801e+09 1.70e-02 5.96e+02 -1.0 2.36e+03 - 3.34e-01 7.12e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -2.9891644e+09 4.06e-04 3.09e+03 -1.0 2.34e+03 - 1.96e-02 8.42e-01f 1\n", - " 11 -2.9905272e+09 2.30e-05 2.36e+04 -1.0 8.16e+02 - 1.91e-01 8.45e-01f 1\n", - " 12 -2.9917420e+09 2.60e-06 1.09e+04 -1.0 1.12e+03 - 1.90e-01 8.76e-01f 1\n", - " 13 -2.9927175e+09 3.85e-07 1.32e+04 -1.0 7.13e+02 - 2.53e-01 8.95e-01f 1\n", - " 14 -2.9934695e+09 7.96e-08 1.00e+04 -1.0 7.97e+02 - 3.13e-01 9.17e-01f 1\n", - " 15 -2.9939741e+09 2.06e-08 8.69e+03 -1.0 1.13e+03 - 3.64e-01 9.19e-01f 1\n", - " 16 -2.9942432e+09 5.03e-09 6.75e+03 -1.0 1.67e+03 - 2.81e-01 8.75e-01f 1\n", - " 17 -2.9943487e+09 3.18e-10 4.56e+03 -1.0 2.12e+03 - 2.81e-01 7.80e-01f 1\n", - " 18 -2.9943919e+09 1.16e-10 2.84e+03 -1.0 2.58e+03 - 3.78e-01 7.92e-01f 1\n", - " 19 -2.9943947e+09 1.16e-10 1.57e+03 -1.0 3.13e+03 - 4.42e-01 4.69e-01f 1\n", + " 10 -2.9677367e+09 3.36e-04 4.14e+03 -1.0 2.48e+03 - 1.28e-02 7.94e-01f 1\n", + " 11 -2.9691228e+09 8.00e-06 2.45e+04 -1.0 1.22e+03 - 2.46e-01 8.10e-01f 1\n", + " 12 -2.9706166e+09 8.14e-07 1.36e+04 -1.0 2.11e+03 - 6.69e-02 8.72e-01f 1\n", + " 13 -2.9717860e+09 6.23e-08 2.01e+04 -1.0 9.75e+02 - 2.11e-01 8.75e-01f 1\n", + " 14 -2.9728325e+09 8.47e-09 1.58e+04 -1.0 5.85e+02 - 2.59e-01 9.03e-01f 1\n", + " 15 -2.9737115e+09 1.68e-09 7.09e+03 -1.0 7.17e+02 - 2.76e-01 9.21e-01f 1\n", + " 16 -2.9743577e+09 4.46e-10 7.20e+03 -1.0 9.74e+02 - 3.73e-01 9.41e-01f 1\n", + " 17 -2.9747730e+09 1.66e-10 6.63e+03 -1.0 1.50e+03 - 4.29e-01 9.47e-01f 1\n", + " 18 -2.9749726e+09 1.16e-10 5.97e+03 -1.0 2.41e+03 - 2.95e-01 9.39e-01f 1\n", + " 19 -2.9750151e+09 1.16e-10 4.01e+03 -1.0 2.97e+03 - 2.80e-01 7.00e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20 -2.9943905e+09 2.33e-10 9.95e+02 -1.0 3.72e+03 - 5.17e-01 2.91e-01f 1\n", - " 21 -2.9943876e+09 2.33e-10 8.91e+02 -1.0 4.28e+03 - 1.67e-01 1.03e-01f 1\n", - " 22 -2.9943804e+09 2.33e-10 6.72e+02 -1.0 4.26e+03 - 2.34e-01 2.47e-01f 1\n", - " 23 -2.9943636e+09 2.33e-10 9.44e+02 -1.0 3.86e+03 - 3.02e-01 5.98e-01f 1\n", - " 24 -2.9943463e+09 1.16e-10 5.03e+03 -1.0 2.46e+03 - 2.07e-01 8.89e-01f 1\n", - " 25 -2.9943407e+09 1.16e-10 8.37e+03 -1.0 1.25e+04 - 2.86e-01 8.27e-01f 1\n", - " 26 -2.9943397e+09 1.16e-10 5.85e+03 -1.0 8.16e+03 - 3.79e-01 6.81e-01f 1\n", - " 27 -2.9943395e+09 1.16e-10 6.59e+03 -1.0 7.96e+03 - 3.89e-01 1.00e+00f 1\n", - " 28 -2.9943337e+09 1.16e-10 3.64e+03 -1.0 4.85e+03 - 5.26e-01 1.00e+00f 1\n", - " 29 -2.9943303e+09 1.16e-10 1.21e+03 -1.0 3.71e+03 - 6.61e-01 1.00e+00f 1\n", + " 20 -2.9750238e+09 1.16e-10 1.74e+03 -1.0 3.43e+03 - 5.65e-01 5.62e-01f 1\n", + " 21 -2.9750145e+09 1.16e-10 8.85e+02 -1.0 5.04e+03 - 4.99e-01 5.24e-01f 1\n", + " 22 -2.9750019e+09 1.16e-10 6.16e+02 -1.0 4.83e+03 - 2.38e-01 3.49e-01f 1\n", + " 23 -2.9749865e+09 2.33e-10 1.32e+03 -1.0 4.15e+03 - 2.87e-01 4.76e-01f 1\n", + " 24 -2.9749735e+09 2.33e-10 7.56e+03 -1.0 3.17e+03 - 2.42e-01 5.07e-01f 1\n", + " 25 -2.9749692e+09 2.33e-10 7.60e+03 -1.0 7.83e+03 - 1.49e-01 2.43e-01f 1\n", + " 26 -2.9749575e+09 1.16e-10 1.29e+04 -1.0 8.07e+03 - 2.56e-01 8.81e-01f 1\n", + " 27 -2.9749564e+09 2.33e-10 6.19e+03 -1.0 1.89e+04 - 3.62e-01 2.85e-01f 1\n", + " 28 -2.9749532e+09 1.16e-10 1.78e+04 -1.0 1.16e+04 - 1.22e-01 6.32e-01f 1\n", + " 29 -2.9749481e+09 1.16e-10 7.34e+04 -1.0 4.43e+03 - 1.98e-01 1.00e+00f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30 -2.9943260e+09 1.16e-10 4.73e+02 -1.0 4.52e+03 - 7.47e-01 1.00e+00f 1\n", - " 31 -2.9943227e+09 1.16e-10 1.93e+01 -1.0 4.53e+03 - 9.90e-01 1.00e+00f 1\n", - " 32 -2.9943217e+09 1.16e-10 3.45e+00 -1.0 1.89e+03 - 9.99e-01 1.00e+00f 1\n", - " 33 -2.9943217e+09 1.16e-10 5.01e-01 -1.0 7.60e+02 - 1.00e+00 1.00e+00f 1\n", - " 34 -2.9944792e+09 1.16e-10 1.03e+01 -1.7 2.96e+04 - 1.00e+00 1.00e+00f 1\n", - " 35 -2.9944794e+09 1.16e-10 4.36e-02 -1.7 4.05e+02 - 1.00e+00 1.00e+00f 1\n", - " 36 -2.9945097e+09 1.16e-10 4.03e+02 -2.5 6.54e+03 - 1.00e+00 8.96e-01f 1\n", - " 37 -2.9945129e+09 1.16e-10 2.15e+00 -2.5 6.98e+02 - 1.00e+00 1.00e+00f 1\n", - " 38 -2.9945128e+09 1.16e-10 5.69e-01 -2.5 4.27e+01 - 1.00e+00 1.00e+00f 1\n", - " 39 -2.9945128e+09 1.16e-10 3.15e-02 -2.5 9.59e+00 - 1.00e+00 1.00e+00f 1\n", + " 30 -2.9749450e+09 1.16e-10 4.57e+03 -1.0 3.03e+03 - 5.17e-01 1.00e+00f 1\n", + " 31 -2.9749417e+09 1.16e-10 1.18e+03 -1.0 3.31e+03 - 6.89e-01 1.00e+00f 1\n", + " 32 -2.9749370e+09 1.16e-10 5.51e+02 -1.0 5.64e+03 - 7.08e-01 1.00e+00f 1\n", + " 33 -2.9749332e+09 1.16e-10 1.65e+01 -1.0 5.56e+03 - 9.90e-01 1.00e+00f 1\n", + " 34 -2.9749319e+09 1.16e-10 4.26e+00 -1.0 3.28e+03 - 9.99e-01 1.00e+00f 1\n", + " 35 -2.9749319e+09 1.16e-10 5.09e-01 -1.0 8.57e+02 - 1.00e+00 1.00e+00f 1\n", + " 36 -2.9751155e+09 1.16e-10 1.36e+01 -1.7 3.59e+04 - 1.00e+00 1.00e+00f 1\n", + " 37 -2.9751158e+09 1.16e-10 2.39e-02 -1.7 6.52e+02 - 1.00e+00 1.00e+00f 1\n", + " 38 -2.9751494e+09 1.16e-10 4.44e+03 -3.8 9.24e+03 - 1.00e+00 7.37e-01f 1\n", + " 39 -2.9751557e+09 1.16e-10 8.56e+03 -3.8 2.47e+03 - 1.00e+00 5.37e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40 -2.9945128e+09 1.16e-10 1.17e-04 -2.5 5.79e-01 - 1.00e+00 1.00e+00h 1\n", - " 41 -2.9945146e+09 2.33e-10 2.45e+03 -3.8 9.85e+02 - 8.08e-01 3.75e-01f 1\n", - " 42 -2.9945156e+09 2.33e-10 9.14e+02 -3.8 5.84e+02 - 1.76e-01 4.39e-01f 1\n", - " 43 -2.9945156e+09 2.33e-10 1.04e+03 -3.8 3.74e+02 - 2.02e-01 4.14e-02f 1\n", - " 44 -2.9945157e+09 2.33e-10 8.71e+02 -3.8 3.97e+02 - 1.41e-01 1.50e-01f 1\n", - " 45 -2.9945158e+09 2.33e-10 8.81e+02 -3.8 3.04e+02 - 1.80e-01 8.89e-02f 1\n", - " 46 -2.9945159e+09 2.33e-10 5.78e+02 -3.8 2.17e+02 - 1.36e-01 2.46e-01f 1\n", - " 47 -2.9945159e+09 2.33e-10 4.47e+02 -3.8 1.61e+02 - 2.53e-01 2.41e-01f 1\n", - " 48 -2.9945160e+09 2.33e-10 3.63e+02 -3.8 8.49e+01 - 2.44e-01 2.17e-01f 1\n", - " 49 -2.9945160e+09 2.33e-10 2.26e+02 -3.8 6.10e+01 - 1.52e-01 2.68e-01f 1\n", + " 40 -2.9751576e+09 2.33e-10 5.07e+03 -3.8 1.11e+03 - 1.00e+00 4.01e-01f 1\n", + " 41 -2.9751581e+09 2.33e-10 3.99e+03 -3.8 8.77e+02 - 3.41e-01 2.15e-01f 1\n", + " 42 -2.9751584e+09 2.33e-10 3.13e+03 -3.8 8.85e+02 - 1.69e-01 2.14e-01f 1\n", + " 43 -2.9751586e+09 2.33e-10 2.50e+03 -3.8 9.46e+02 - 8.90e-02 2.03e-01f 1\n", + " 44 -2.9751587e+09 2.33e-10 2.00e+03 -3.8 3.10e+02 - 2.39e-01 2.00e-01f 1\n", + " 45 -2.9751588e+09 2.33e-10 1.72e+03 -3.8 1.99e+02 - 2.26e-01 1.37e-01f 1\n", + " 46 -2.9751588e+09 2.33e-10 1.68e+03 -3.8 1.42e+02 - 7.80e-02 2.72e-02f 1\n", + " 47 -2.9751588e+09 3.49e-10 1.39e+03 -3.8 1.49e+02 - 9.99e-02 1.73e-01f 1\n", + " 48 -2.9751589e+09 2.33e-10 1.06e+03 -3.8 1.16e+02 - 2.57e-01 2.39e-01f 1\n", + " 49 -2.9751589e+09 2.33e-10 9.31e+02 -3.8 6.91e+01 - 6.96e-02 1.18e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50 -2.9945160e+09 2.33e-10 2.01e+02 -3.8 4.03e+01 - 4.67e-01 3.15e-01f 1\n", - " 51 -2.9945161e+09 2.33e-10 1.64e+02 -3.8 2.49e+01 - 4.81e-01 3.22e-01f 1\n", - " 52 -2.9945161e+09 2.33e-10 9.41e+01 -3.8 1.56e+01 - 3.31e-01 3.91e-01f 1\n", - " 53 -2.9945161e+09 2.33e-10 1.54e+02 -3.8 8.94e+00 - 9.24e-01 2.17e-01f 1\n", - " 54 -2.9945161e+09 1.16e-10 2.03e+01 -3.8 6.65e+00 - 4.17e-01 9.13e-01f 1\n", - " 55 -2.9945161e+09 1.16e-10 9.28e-05 -3.8 5.61e-01 - 1.00e+00 1.00e+00f 1\n", - " 56 -2.9945161e+09 2.33e-10 7.27e+01 -5.7 2.33e+01 - 1.71e-01 3.16e-01f 1\n", - " 57 -2.9945162e+09 1.16e-10 1.33e+02 -5.7 1.47e+01 - 4.12e-01 7.21e-01f 1\n", - " 58 -2.9945162e+09 1.16e-10 1.43e+01 -5.7 2.27e+00 - 8.73e-01 9.55e-01f 1\n", - " 59 -2.9945162e+09 1.16e-10 9.60e-06 -5.7 1.94e-01 - 1.00e+00 1.00e+00f 1\n", + " 50 -2.9751589e+09 2.33e-10 7.04e+02 -3.8 6.44e+01 - 2.56e-01 2.44e-01f 1\n", + " 51 -2.9751590e+09 2.33e-10 4.47e+02 -3.8 4.54e+01 - 3.03e-01 3.65e-01f 1\n", + " 52 -2.9751590e+09 2.33e-10 3.56e+02 -3.8 2.67e+01 - 3.68e-01 2.04e-01f 1\n", + " 53 -2.9751590e+09 3.49e-10 3.03e+02 -3.8 1.89e+01 - 2.22e-01 1.52e-01f 1\n", + " 54 -2.9751590e+09 2.33e-10 2.02e+02 -3.8 1.67e+01 - 1.00e+00 6.23e-01f 1\n", + " 55 -2.9751590e+09 1.16e-10 3.58e+01 -3.8 4.73e+00 - 8.22e-01 8.23e-01f 1\n", + " 56 -2.9751590e+09 1.16e-10 1.80e-04 -3.8 9.66e-01 - 1.00e+00 1.00e+00f 1\n", + " 57 -2.9751590e+09 2.33e-10 3.81e+01 -5.7 2.68e+01 - 1.78e-01 2.57e-01f 1\n", + " 58 -2.9751591e+09 2.33e-10 2.50e+01 -5.7 1.83e+01 - 2.66e-01 1.23e-01f 1\n", + " 59 -2.9751591e+09 2.33e-10 1.86e+01 -5.7 1.37e+01 - 7.26e-02 9.52e-02f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60 -2.9945162e+09 1.16e-10 1.01e-05 -7.0 1.90e-01 - 1.00e+00 1.00e+00f 1\n", - " 61 -2.9945162e+09 1.16e-10 3.79e-09 -7.0 5.40e-04 - 1.00e+00 1.00e+00h 1\n", + " 60 -2.9751591e+09 2.33e-10 1.88e+01 -5.7 1.20e+01 - 1.53e-01 1.34e-01f 1\n", + " 61 -2.9751591e+09 3.49e-10 1.50e+01 -5.7 1.18e+01 - 6.78e-02 8.02e-02f 1\n", + " 62 -2.9751591e+09 1.16e-10 1.97e+02 -5.7 1.11e+01 - 8.44e-02 7.97e-01f 1\n", + " 63 -2.9751591e+09 1.16e-10 1.83e+01 -5.7 1.46e+00 - 8.73e-01 1.00e+00f 1\n", + " 64 -2.9751591e+09 1.16e-10 8.57e-07 -5.7 1.64e-01 - 1.00e+00 1.00e+00f 1\n", + " 65 -2.9751591e+09 1.16e-10 1.21e-05 -7.0 2.27e-01 - 1.00e+00 1.00e+00f 1\n", + " 66 -2.9751591e+09 1.16e-10 1.60e-09 -7.0 7.23e-04 - 1.00e+00 1.00e+00h 1\n", "\n", - "Number of Iterations....: 61\n", + "Number of Iterations....: 66\n", "\n", " (scaled) (unscaled)\n", - "Objective...............: -6.1002174214505367e+07 -2.9945161760766697e+09\n", - "Dual infeasibility......: 3.7918072759803806e-09 1.8613481192590852e-07\n", + "Objective...............: -5.1949581959670141e+07 -2.9751591060821471e+09\n", + "Dual infeasibility......: 1.5989696344775267e-09 9.1573192486087556e-08\n", "Constraint violation....: 1.1641532182693481e-10 1.1641532182693481e-10\n", - "Complementarity.........: 9.1255044690767498e-08 4.4795896374808977e-06\n", - "Overall NLP error.......: 9.1255044690767498e-08 4.4795896374808977e-06\n", + "Complementarity.........: 9.0985557317127613e-08 5.2107543345422932e-06\n", + "Overall NLP error.......: 9.0985557317127613e-08 5.2107543345422932e-06\n", "\n", "\n", - "Number of objective function evaluations = 62\n", - "Number of objective gradient evaluations = 62\n", - "Number of equality constraint evaluations = 62\n", - "Number of inequality constraint evaluations = 62\n", - "Number of equality constraint Jacobian evaluations = 62\n", - "Number of inequality constraint Jacobian evaluations = 62\n", - "Number of Lagrangian Hessian evaluations = 61\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 27.691\n", - "Total CPU secs in NLP function evaluations = 16.104\n", + "Number of objective function evaluations = 67\n", + "Number of objective gradient evaluations = 67\n", + "Number of equality constraint evaluations = 67\n", + "Number of inequality constraint evaluations = 67\n", + "Number of equality constraint Jacobian evaluations = 67\n", + "Number of inequality constraint Jacobian evaluations = 67\n", + "Number of Lagrangian Hessian evaluations = 66\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 24.081\n", + "Total CPU secs in NLP function evaluations = 13.237\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -2217,10 +31385,10 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212120, 'Number of variables': 211163, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 46.825355529785156}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 212120, 'Number of variables': 211163, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 39.7588574886322}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, - "execution_count": 15, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -2247,7 +31415,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 18, "id": "scientific-nudist", "metadata": {}, "outputs": [], @@ -2294,7 +31462,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 19, "id": "disabled-invitation", "metadata": {}, "outputs": [ @@ -2302,14 +31470,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "Optimal PEM capacity : 0.0007913308684398889 MW\n", - "Optimal tank capacity : 4.932728752195283e-06 kg\n", - "Optimal turbine capacity: 9.076111217417622e-05 MW\n" + "Optimal PEM capacity : 0.0007913403626138728 MW\n", + "Optimal tank capacity : 8.356852292030079e-06 kg\n", + "Optimal turbine capacity: 9.07620560052793e-05 MW\n" ] }, { "data": { - "image/png": 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", + "image/png": 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", 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    " ] @@ -2330,13 +31498,13 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 20, "id": "brutal-sigma", "metadata": {}, "outputs": [ { "data": { - "image/png": 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Tsvjw78NMHhDt3M4JIYQzDCh7OZAkdUKIRvf0Jd0I9nHnkzVHSMstAiDEx507R7TnjuHtndw7IYRwDZLUCdGKfbn+GB/9fYT0vCK6hfsye2IP+pTdSausxGTmg78O87+tJzmdU0j7IC+e/E9XRnYJqfM6arWKuy/swN0XdiC3sARAZr0KIYSDyUQJIVqppTtO8cKyvTw0phO/PnAB3cN9mDJ/Ixl5RdXWf+33/Xyz6TizJ/bgz2kXcsPgNty1cAu7k7OrrV+T8mVOhBBCOJbcqROilfp07VGui4vmmrIxbS9O6sWqfWl8v/kE947sWKX+j1uTuf+ijozqqtyZuymwDesOZvDpmiO8dV3fKvUvfWcN39w+GIOnlkveXoNKVaWK1a8PDnfMhxJCiFZMkjohXEhubi45OTnWY3d3d9zd3avUKy41szs5m3tHdrCWqdUqhnUMYuvxrGrbLjaZcdfY3tz30KpJOHa22vpju4eiK6s/rkdofT+KEEI0zIdlr2Nlxz2A54D/lB0XAo8A3wFFwHjgA6BimEoC7gH+AryBqUA8tlnTamA6ygLB0SjLlNzs2I9SX5LUCeFCunfvbnM8c+ZMZs2aVaXe2YJiTGYLQd62CV+wtzuH0/OrbXtEp2A+XXOUuHaBtAnwZN3hDFbsOY3ZXH1fHh7TGVAWGR7SPpCu4b4Y9PLYVQjRyKKAl4FOgAVYAFwObENJ8KYBvwKLAQNwP3AlsK7s/SaUteTCgH+BFJT14rTAS2V1jpbVuRv4GliJsqBwOEqSaK+VZa80oHIs/awe7ZSRpE4IF5KYmEhkZKT1uLq7dA01c0J3nlyyi9Gvr0alUtEmwJPJ/aPrXDzYTa3ips82sXL6hZLUCSEa34RKxy+i3LnbgJLwzQe+AS4qO/850K3s/GCURX8TgT9R7t71AeYATwCzAB0wD2gHvF7WRjeUNefexP6kbjbwPMqyJuFALUNU7NWgpM5SUkJpRgZmYyGaAH/c/PzOvydCiPPm4+ODr69vnfX8PXW4qVVVJkWk5xUR7F19Ihjo7c4nUwZQWGIiq6CEUF93Xl6xj5gAzzqv1yXUh6QzBUTbUdfZJL4J4UJMKHfk8oEhwBagBBhToU5XIAZYj5LUrQd6Yfs4djzK49g9QN+yOhXbKK/zcD36Ng/4AmXrMAexO6kz5eWTs/QXcn5djnHXLiwlJWCxgEqFJiwU72HD8LvmGvS9ejmud0KIRqHTqOkZaeDfQxmM7xEGgNls4d9DmUwZ2qbW93po3QgzuFFiMrNi92ku7RVe5/UeGdeZF3/dyyPjOtMr0oBe52Zz3tmzYSW+CdEy2DtumF0oSVwhypi4H4HuwHaUO21+leqHAqfL/n4a24SOCsd11clB2R1Cb8eHKQaG2lGvHuxK6jI//4LMefPQxsTgPWokgXfdhSYkBLWHO6bsbIoOHqRg8xaSbrsdfe/ehD3zNLq2bR3bUyGEQ91+QTseWbyDXlF+9Ik2MH/tMQqKS5ncX5kNO33RdkINHjxxcVcAtiWdJTWnkO7hBk7nFPLWnwcwWyzcdWGH2i4DwC1fJCjX/HKzzRMGC8oThyPxlzr409lP4psQLYe944bpgpLAZQM/oEx0+Luxe1dPt6M8Bn7WcU3aldQV7tpFm68W4t6pU7Xn9b1743fVVZiLi8lesoSCLVsk6AnRzE2IjeBMfjFv/nGA9NwiukX4suDWOIJ9lG+9yVlGVBXWISkqNfPa7wdIOlOAl86NUV1CePPaPnaNk/v2jsGN9jnOl8Q3IVoOu8cN64DylZn6AwnA28C1KHfIsrC9W5eKMjGCsj83VWovtcK58j9Tq6nji3136UC5i/gxyti93igTMSp6w852KrArqYt84/W6KwFqnQ7/666z++IFCQlkzv+Mwj17KE1PJ+q9d/EZc+4htcViIePddzm7eDHmnFz0/foSPnOmTUA1ZWVx+oUXyfvrL1Cr8Rk3lrCnnkLt5WV3P4RoraYObcvUoW2rPbforiE2x4PbB/Ln9AsbdJ3B7QMb9L6m0FjxDSTGCeFo9o4brsKMsnxJf5TkaSVwVdm5/ShLmJSHvCEokyvSgPINc/5ASdi6V6izvNI1/qjQhj12okzCANhd6VwDJ004dUcJs9GIe9cuhD5X/b3HzE8/5czCrwifNYu23y9Crfck6fY7MBedG9yd/NjjFB06RMxn84me9yEFmzeT8tzMpvoIQgg77E3Jqfa173QORzPyKSo1ObuLjUJinBBOMAP4B2Wdul1lx6uBG1CWMLkNZX25v1AmTtyCkoyVP1AYh5K83QTsAP4PZQ26+4DyG4N3A0eAx4F9KOvcfY+yXIq9/qrltaoe7VRQ79mv5oICMj75hIL1Gyg9c4bKi1R1/PMPu9vyHjEC7xEjAEiudM5isXDmyy8JuvtufEaPBiDilZc5OOwCcv/8E8Oll1J0+DD5a9bQdvFi9L16AhD2zDOcuPMuQh5/HG1o3XtSCiEa3yXvrKn1i6fGTc1lvcN56YpeeGjdaqnZuBwZ30BinBBOkYayrlwKShLXGyUxG1t2/k2UW1pXYbv4cDk3YBnKbNchgBfKmLznK9Rph7LW3TSUx7pRwKfUb426ik6W/RnVwPeXqXdSl/LMsxQkJGC4fCKa4GBq3fvnPJScPIkpPQOvoefuZbr5+KDv3Rvj9h0YLr0U4/btqH19rcEOwGvIEFCrMe7cgXbs2OqapqioiKIK34Rzc3Mb5TMIIRQf3difl1fs464R7YmN9gNgx4ksPllzlIdGd8JktvDKin28/vt+nr60e+2NNaKmim/QeDFO4pto9ebXcd4DeL/sVZM2VH28WtlIlAWNG8oMvICy1l1eWZkPym4XT9OgZ6n1Tury1qwh+qN5ePbrV/+r1UNpegYAboG2Y3HcgoIozUi31tEEBNicV2k0uBkMmDIyamw7Pj6e2bNnO7jHQoiavP/XIWZO6MGFnYOtZV3DfAkz6Hnj9/38fP8F6HVuvPjrXqcmdU0V36DxYpzENyFaiKdREtCXgWFlZWtRFjguRBnXV0/1zgPdfH1xMxjqf6VmZMaMGWRnZ1tfiYmJzu6SEC5t3+lcIv2qTgmL9NOz77RyJ6l7uC9puYVN3TUbEt+EEE1mAcoj23tQHhH3Bu4FPkFZlLgB6p3UBT/0IOnvvIvZaGzYFe2kCQ4CwJSZaVNuyshAExRsrVN65ozNeUtpKabsbNyCgmps293dHV9fX+vLx8fHwb0XQlTUIdibD1cfprj03Bi1EpOZD1cfpkOwNwCpOYVV9qJtak0V36DxYpzENyFaiDMou1lU1rXsXAPY9fj1yBVX2kyvLTmexMFhF6CNjAStbRPtlyxpWE8q0UZF4RYcRP76DXh06waAKS8P486d+F2vLCug79MHc04Oxt170PfsAUD+ho1gNqPvHeuQfgghzt+cST24fcFmhsSn0TVcSTL2n87FZLYw/+aBACSdKeCmwbXvZtEYnBHfQGKcEK1eLPAe8E6l8vfKzjWAXUld+cwsRzPn51OclGQ9Lj55ksK9e3EzGNBGRBAwZQoZ8+aha9sGbWQU6e+8gyYkxLrOk3uHDngNH07Kc88SPmsWltJSUufMwfeSS2RWmBDNSP82Aax54iJ+2pbM0Yx8AC7pFc7lfSLxdlfC0JX9znPaVwM1VnwDiXFCiFrMBS5FWXy4fL7UeuAEdU/SqIFdSV3w/fc1rPU6GHfvIWnqVOtx2suvAGCYNImIl+MJvP12LEYjKc/NxJyTg75/P6I/+Rh1hRWkI1+dy+k5L5B08y1lC3OOI+zppxqlv0KIhvN213CjE+7E1aWx4htIjBNC1OJC4ADKLNx9ZWVXooyri2hYk3bPfj31xJN4DhmMV1wc2ogGXq0Sr0FxdNu3t8bzKpWK4AcfJPjBB2us4+bnR+TrrzmkP0KI1qkx4htIjBNC1CGCBs1yrYndSV3JqVOcnjkLS0kJ2shIPAfF4TVoEJ6DBqENkccAQoiWS+KbEKJJ7AR6okxT3VlH3d71b97upK7Nwi8xFxdj3LqNgk2bKNi0iZRflmIpLUXXpo0SBAcPxvfii+vfCyGEcCKJb0KIJtEHOI2yp2wflElalmrqqYAG7J5Yr8WH1TodXoMH4TV4EADmoiKM27aR988asr7/nqzvF0vQE0K0SBLfhBCN7igQXOHvDlbvHSUALMXFFGzfTsGmBAo2bsS4c6cyY2vcOEf3TwjhQnadzOZQurLYcKcQH3pGNr+FfiW+CSEaTcW5YseBoVTNxEqBfyvVtZPdSV1BQgL5mzZRsHETxp070YaH4zlwIH7XXEPEq3PRhoXV/+pCiFYhI6+IB77Zxoajmfh6aAHIKSxhSPtA3r2+L4FOXnRY4psQosmNAlJQHsVWlF12rjEfvx6fMhVteDiBd9xO5Buvo6llxwYhhKho5i97yC8u5Y9pI+gYoiw+fDA1l0cW72DW0kTevb6vU/sn8U0I0eQs2Cx8bpUJeDWsSbuTusDbbyN/0yZSX4rn7Lff4TlwIJ5xcXjGDUTj79+wqwshWoV/9qfz1e2DrAkdQKdQH56/vCc3zd/oxJ4pJL4JIZrMlWV/qoCbgYoPKkwos2KHNqxpu5O6kEceAZQV0gu2bKFg0yYy588n+dFHcW/bpiwIDsL34vEN64kQwmWZLRY0blW/kmrUKizVzfxqYhLfhBBNpnwosQXwAfQVzumAwcAdDWu63hMl1F5eeI8YgfeIEQCYsrLI/OILzn71NWe/W4TvxXsa1hMhhMsa0iGI2WWPWUN9PQA4nV3InGWJDO0Q6OTenSPxTQjR6D4v+7Mt8Bjg6bim653UWcxmCnftUgYVb0rAuHUr5oICtOHh+Iwd67ieCSFcxvOX9+D2BZu54JVVhBuUr6Up2UY6h/rw1nV9nNu5CiS+CSGazBQgGehUqfwgoEVJ+urJ7qQu89NPyd+0CePWbZjz89GEhuIZN5DQp2bgOWgQuijnbMYthGj+Ivz0/PrgBaw9lMHhtDwAOob4cEGn5jEhQeKbEKLJ3QzcStWkbiPwKbC6/k3andSdWfAlnnFxhDz+GF6DBqFr0/w25hZCNE//23KSy2LDGd4pmOGdgq3lxaVmlu44xVX9nZs0SXwTQjS5bcCwasoHA/c3rEm7k7pOa/5p2BWEEM3Wl+uP8dHfR0jPK6JbuC+zJ/agT7RfjfXnrz3K1xuOk5xlJMBLx396hvP4xV3w0LrVep3HftjBhV2Ccfe2rZdfVMpjP+xwelIn8U0I0eRUQG415dk0aI06qEdSV3LqlF31tBERDeuJEKJJLd1xiheW7eWFK3rSN9qPz9YdZcr8jax6dCRB1SwG/PP2ZF5ZsY9Xr+5Nvxh/jmbk8+jiHahU8Oxl3Wu9Vk3LMaVkF+JTthixM0l8E0I0uRFAPPAtUP5911RWdkHDmrQ7qTs0psIg4fI1CFQq2zKVim6JMjtMiJbg07VHuS4ummsGRAPw4qRerNqXxvebT3DvyI5V6m85fpYBbfy5vE8kANEBnkyMjWD7iawar3HJ22tQqZSE7oZPN+KmPhczTGYLJ88aubBzcI3vbyoS34QQTe4VlMSuCzC8rGwNkAOsaliT9s9+VanQhoZiuOIKvEeNQqWp/XGLEKLp5ebmkpOTYz12d3fH3b3qXbfiUjO7k7O5d2QHa5larWJYxyC2Hs+qtu3+bfz5cVsy209k0Sfaj6TMAv7an8aV/Wp+dDquRygAiSk5jOgcjKfuXNzQuqmJ8tfzn57h9f2YjifxTQjR1LqjLDT8HrADZb26KSjj6QIa1qT9Y+pW/0XWTz+RveRHzi5ahGHCBPyuvgr3Dh3qfrMQokl07277GHTmzJnMmjWrSr2zBcWYzJYqj1mDvd05nJ5fbduX94nkTH4xk+f9i8UCpWYLNwyK4b5RVe/qlXt4TGcAovw9uax3eJ1j75xF4psQwikigJcc15zdSZ0mOJigO+4g6I47KNiyhawlSzh2zbXoOnbA76qr8Lv6alRqteN6JoSot8TERCIjI63H1d2la6j1hzN5/6/DzLm8J31i/DiWUcDzS/fwzsqDPDi68px8W1c7eSJEXSS+CSGaXF3zs0bUv8l6Lz4M4Nm/P579+1M6bRrJjzzK6Vmz8R03Djc/v4Y0J4RwEB8fH3x9feus5++pw02tIiOvyKY8Pa+I4GomSQC88cd+ruwXyXVxMQB0DfPFWFLKjCW7uH9UR9Tq6qZCtDwS34QQTWJkNWUVw2gDZsA26KtnwdZtnHrmGQ5f/B/MBQWEPfcsajv+IRFCNA86jZqekQb+PZRhLTObLfx7KJN+bfyqfY+xxGQzdwBAXVbQDLZvdRiJb0KIJnG20isNWAEMBH5vWJP2L2mSlkb2zz+TveRHTDk5GC67jDbffI1H584Nu7KdDl00utrlBvz/ez1hzz3H8ZumUJCQYHPO79prCZ89q1H7JURLd/sF7Xhk8Q56RfnRJ9rA/LXHKCguZXJ/ZTbs9EXbCTV48MTFXQEY3TWU+WuP0iPCQN9oP45l5vPGHwcY3S3UZlZrSyTxTQjR5AzVlI0FdMB0YEv9m7R/SZOLRqMNCcEwaRLeF12ESqsBi4XC/ftt6nl06VL/XtSi7Q+LwXTuHmTRwYMk3XobPuMvtpb5TZ5M8IMPWI9Ver1D+yCEK5oQG8GZ/GLe/OMA6blFdIvwZcGtcQT7KI9fk7OMqCrcmnvgoo6oVPD67/s5nV1IoJeO0d1CeXS8Y3/nnUHimxCi2QgF9tdZq1r2j6kzmShJSSHjww/JmDdPKbNUeujSCOs4aQJs5/VmfPIJ2pgYPOMGnrus3gNNsPPXuhKipZk6tC1Th7at9tyiu4bYHGvc1Dw8prN1Rmt9mMwWfthygnWHMsnML8Jstj3/7Z2D692mQ0l8E0I0tZ2Vji1ACvAy0KdhTdqd1HX884+GXcGBLMXF5PyylICbb7a5g5CzdBk5vyxFExyE98hRBN17D2r5NitEszF76R5+2HKSUV1D6Bzqg6ra/SWcR+KbEKLJ9UGZGFF5UPJg4LOGNWl3Upe/YQPeF12Ext+/YVdygNyVKzHl5mK44gprme9ll6GNiEATEkLRgf2kvfY6xceOEvXuuzW2U1RURFHRuVl/ubnVbb4mhHCUpTtO8f5/+zGqa4izu1ItiW9CiCZ3tNKxGggGPBrepN2zX7N/WcqhC0dy7LrryfjkE4oOH274VRso64f/4T18ONrQc/8w+F97Dd7DL8CjS2cMEyYQ8crL5P7xJ8VJSTW2Ex8fj8FgsL4qL9gqhHAsrZuaNoGezu5GjSS+CeFC4lFmkPoAIcAkqo5RKwTuAwIBb+AqILVSnSTgUsCzrJ3HgNJKdVYD/QB3oCPwRT362abSK5rzSuigHnfq2iz4AlN2Nnl//03uqr/InPcRbkGB+Iy6CJ/RF6Hv379RF+csSU4mf/16ot59p9Z6+t69ASg+noQuJqbaOjNmzGD69OnW4+TkZAl8QjSiO4a35/N1x3j+8h42jxabC4lvQriQv1EStoEoSdhTwDggEfAqqzMN+BVYjDIL9X7gSmBd2XkTSkIXBvyLMtZtCqDl3A4QR8vq3A18DawEbgfCgfE19K32X3FbD9ajbpl6LT7sZjBgmDgRw8SJWIqLyd+4kdxVq0h+7HEshYV4XzgC71EX4T1iOGpPx34rz1ryI26BAXhfeGGt9Qr37QNAE1LzwOLK+2FW3CtTCOF4CcfOsP5IJqsPpNE5xAeNm21i99FNA5zUs3MkvgnhIlZUOv4C5U7bFpRdGrKB+cA3wEVldT4HugEbUMa0/Y6SBP6JMhu1DzAHeAKYhbLsyDygHfB6WRvdgLXAm9Sc1L1Z6TgdKAD8yo6zOHdnsLGTuopUOh3ew4fjPXw4zJyJcddu8v5aRcaHH1J05DDB997b0KarsJjNZP24BL9Jk1BpznW5OCmJ7GXL8B5xIW5+fhQd2E9q/Mt4Dhjg8KUHhBAN56vXMr5HmLO7YTeJb0I0T7m5uTZfVCp/ialWdtmf5ZPNtwAlwJgKdboCMcB6lKRuPdALJaErNx64B9gD9C2rU7GN8joP19KXiuPovgE+QEkwy3+l9wN3AHfV/pFq0uCkrjJ9r57oe/Uk+MEHsZSUOKpZAPL/XU/pqRQMV15pU67Sain4dz1nF3yJ2WhEEx6Gz7ixBN1zj0OvL4Q4P69NjnV2F86LxDchmofKQwlmzpzJrFmzan6DGSXJGgb0LCs7jXKnza9S3dCyc+V1Qqs5jx11cgAjUNck9WeBHziX0FH29zeBq4Eb6nh/NeqV1FlKS8FsRqXTWcvOLl6McfMWPHr2xP/GG1CpVKi02vr3pBbeFwyj2769Vcq14eG0+WqhQ68lhGg8mXlFHMnIB6B9kBeBNewz6wwS34Ro/hITE4mMjLQe13mX7j5gN8pj0eYmhaoTL0AZz1d50oad6pXUJT/2GLqoaEIeUQbhnv1uEamvvIL38OFkfPABpWlp1nNCCFGuoLiUmT/vYcm2ZMxli/q6qVRc2S+S2RN7ote5ObmHEt+EaAl8fHzwtXcv5vuBZcA/QFSF8jCgGGX8ml+F8tSyc+V1NlVqL7XCufI/KydfqYAvdd+lAxiN8pj1U5QZtKA8Gr6Hqo917VSv6VyFiYl4Db/Aenz2+0WEzniSqHfeJvKtt8j+dVnDeiGEcGlzlu1l49EzfDp1ADtnjmPnzHF8MmUAG4+e4YVfE53dPUDimxAuw4KS0P0IrEKZzFBRf5RZrCsrlO1HWcKkfCOdIcAuIK1CnT9QErbuFepUbKO8zhDs8xlKYjgAZUkUdyAO5RHup3a2UYldd+pOzXgKgNLTqZxd+BXZP/0MFgtF+/aTv2YNxu07wFRKaVo6p556GoCIl15sWI+EEC5nxe4UPrihP0M6BFrLRnUNwV2r5v5vtvHiFb2c1jeJb0K4mPtQJiH8jLJWXfkYOAPKHTQDcBswHWXyhC/wAEoyVr5j4TiU5O0mYG5ZG8+UtV3+xPdu4D3gceBWlATye5SlUuwRDCwHDgB7UXaX6ArUfydGK7uSuoh4ZVGW/I0bCJg6Bc8BA8hdvRrj1q3Wlc1NubnkrlwlwU4IUYWxxESwj65KeZC3O8ZiUzXvaDoS34RwMR+W/TmyUvnnwM1lf38T5VnlVUARyqzVDyrUdUN5dHsPSrLnBUwFnq9Qpx1KAjcNeBvlEe+n1LycSU06A53K/n6ey3jWa0yd18A4Up6bieHyy8lesgSfS/5jPVe0bx+6Nm3OrzdCCJfUL8afN/84yOvXxOKhVcbPFZaYePvPg/Rr4+fczpWR+CaEi6i8l2p1PID3y141aYNyJ602I4Ft9nWrWl8CrwIHy447o+xccVPDmqtXUhfy5BOkxseTs2wZnoMHE3TXuYVUcv9ciWHihIb1Qgjh0mZO6MGUzzYyJH4l3cKVQc57U3Jw17jx5W1xTu6dQuKbEKJJvYGyrMn9KEuugDJL924gA+UOYD3VK6nT+PsTOXdutedCZzxZ/6sLIVqFLmE+rH50FD9tT+ZwWh4AE2MjmNQ30nrnztkkvgkhmtS7KI+Kp1Qomwj0QNm1orGTOiGEaCi9zo3r46rfr1QIIVqdFGBoNeVDy841gF1JXcrMWQTdczfasLq3+clZvhyLyYRhgjyqEKI1+yMxlZFdgtG6qfkjsfaVNMd2r7wse9OR+CaEcIqOKLNln6pUvohzEyfqya6kzi3AnyOXTUDfry8+o0bh0bMnmpAQVDod5pwcig4fpmDLFnKW/4YmJJjw55+vu1EhhEu7c+FmEp4eQ5C3O3cu3FxjPRVwJP7SputYJRLfhBBOMRu4FmVx5PIxdetQ1r77vmFN2pXUhTz0EAE33EDWDz9w9ptvKTp82Oa82ssLryFDCH9+trIBthCi1TtaIVE76sSkrS4S34QQTnEVyq4VbwA/lZV1Kyvr27Am7R5TpwkKIujuuwm6+25M2dmUpKRgKSzEzd8fbUwMKtV5Lq4ihHBZ/9tykstiw3HX2E6KKC41s3THKa7qH1XDO5uGxDchRJMqQdki7FngK8c126CJEm4GA24Gg+N6IYRwaY/9sIMLuwTj7m2b1OUXlfLYDzucntRVJPFNCNHotMD/UJI6B5LZr0K0Yl+uP8ZHfx8hPa+IbuG+zJ7Ygz7RftXWvfaj9Ww8eqZK+aguwXx+S+1rzVmofqH0lOxCfDy09e+4EEK0dJNQHrs2YOmSmkhSJ0QrtXTHKV5YtpcXruhJ32g/Plt3lCnzN7Lq0ZEEebtXqf/RTf0pNpmtx1kFJfzn7TVc0iu8xmtc8vYaVColobvh0424qc+ldiazhZNnjVzYOdihn0sIIVqETijbjq0D+qNsRVbRg/VvUpI6IVqpT9ce5bq4aK4ZEA3Ai5N6sWpfGt9vPsG9IztWqe/nabt369IdKei1blzau+akblwPZamSxJQcRnQOxlN37vGr1k1NlL+e//Ss+f1CCOGy5gN+wJayV0UqJKkTorXLzc0lJyfHeuzu7o67e9W7bsWlZnYnZ3PvyA7WMrVaxbCOQWw9nmXXtb5POMGE2HA8dTWHkYfHdAYgyt+TCdVMlBBCiFbrqOObVNensnH7dtLefIvUua+St2aN43sjhDgv3bt3x2AwWF/x8fHV1jtbUIzJbKnymDXY2530vKI6r7P9RBb7U3O5dqB9O0R0CvEm8VROlfJtSWfZeTLLrjYam8Q3IYTTWMpe58nupC5nxf9x7L83cGbhQrJ++IETd91N5vzPzr8HQgiHSUxMJDs72/qaMWNGo1xnUcIJuob51DiporLnft5NSnZhlfLUnEKe/XmPg3tXfxLfhBBOMR/oCXiUvXoCnza8ObuTusyPP8Zv8mS6JGyiy6aNBD/0EBkff9zwKwshHM7HxwdfX1/rq7pHrwD+njrc1CoyKt2VS88rIriaSRIVFRSXsmzHKetYPHscTMujZ0TVZUJ6RBg4lJprdzuNReKbEKLJPQc8BEwAFpe9JqDMhn2uYU3andQVHTtG4K23oHJTxsQE3nIz5vx8SjMzG3ZlIYTT6DRqekYa+PdQhrXMbLbw76FM+rXxq/W9v+5Mochk5oq+kfW6XnWPddNyC21mxDqLxDchRJP7EPgEiAcmlr3igY+BDxrWpN1JncVoRO3tbT1W6XSodTrMBQUNu7Id0t99j71du9m8Dv/nEut5c1ERp59/ngODBrOvX39OPvAgpRkZtbQohCh3+wXt+DbhBD9sOcmhtFye/mk3BcWlTO6v3IGbvmg7r6zYV+V9328+wbjuofh76aqcq8nwTsHMXbGPnMISa1m2sYS5K/YzvJPzlzRxRnwDiXFCtGolwIBqyvsDpQ1rsl6zX7MW/4Da09N6bDGZyP7xR9z8/K1lAVNualhPauDeqSMxn1UY26I51+XU+Hjy/v6HyLffQu3tQ+qcOZx84EHafvuNQ/sghCuaEBvBmfxi3vzjAOm5RXSL8GXBrXEE+yiPX5OzjFW2xzqcnkfCsbMsvK32xYYre/qSblzz0XqGvbyKHhG+ACSeyiHIx503r+3jkM9zvpwR30BinBCt1k0od+veqFT+MXBDw5q0O6nThoeTtXix7ZuDgsj++ZdzBSqV44OemwZNcNVv8qbcXLL+t4TIV1/Fa/BgAMLjX+LIJZdi3L4dfZ8+ju2HqBeLxYLFaKxSbq6mTDjP1KFtmTq0bbXnFt01pEpZh2Bvjr18ab2vE2bwYMXDw/lp2yn2puTgoVUzuX80E/tEoHWr1yT8RuG0+AYS41ogiW/CYeYDvwODy443AknAFGB6hXqVE78a2J3UdVy10t6qDlV8/DgHh49A5e6Ovk8fQqZPQxsRQeGePVBSgtfQc//wuLdvjyYinII6Al5RURFFRefG9+TmOn+gtiuxWCwc/+8NGLdtc3ZXRDPiqdPw30H2LYHS1JwV38DxMU7iW+OS+CYcZjfQr+zvh8v+DCp77a5Qrx7Djpv14sP62N5ExL+Erl07StPSyXj/fY7deCPtf1lKaXoGKq0WN19fm/doAoMw1THmJD4+ntmzZzdm11s1i9FYZ8DT9+uHSq9voh6J5uJgai7JWUZKTLYLMo3tHuqkHjlXY8Q4iW+NS+KbcJi/HN+k3Uld1k8/2VXPb9KkBnalKu8RI84ddOmCPrY3hy4aTe6K31C5ezS43RkzZjB9+rn7msnJyXTv3v18uipq0GndWtTVBDeVXl9lvJZwXUmZBdy5cDP7U3NRcW6NzfL/A47E1/+RriM5I75B48Q4iW9NR+KbaG7sTupSZjylDCLWaMBSw7LHKpXDg15Fbr6+6Nq2pfh4El7DhmIpKcGUk2PzTbY0MwO3oKBa26m8dVLFbZWEY6n1epvB56J1mr10D9EBnnxzx2CGv7KKn+8fxtmCEl74dS9PX9LN2d1rFvENHBPjJL41HYlvormxO6nTdWiPKSMT34kT8LvqKjy6dGnMflXLnJ9P8YkTGCZOxKNHD9BqyV+/Ad/x4wAoOnKU0lMpeMoAYiGala1JZ/nmjsEEeOlQq1SoVCoGtg3gifFdmPXLHpY/NNyp/WsO8Q0kxgkhzo/dSV2HZcsw7thB1v+WcPzGm9DFxOB39VX4TpiAW4X1nRwp9ZW5eI8aiTYiktK0NDLeexeVWo3vZZfi5uOD31VXkvrKy7gZDKi9vUl94QX0ffrIrDAhmhmT2YK3uxJu/L10pOYU0iHYm0h/PUcy8pzcO+fEN5AYJ4RwrHpNlNDHxqKPjSX0qRnkrFhB9pIfSZ37Kj6jRxP+0ouodfYvRmqP0tTTnHrkUUxZWbgFBODZvx9tF32HJiAAgNAZM1Cp1Zx86CEsxcV4XzCMsOcauLeGaLDK0/hlWr+orEuYD4kpOUQHeNIn2o+P/j6Czk3NN5uSiAloHo+vmjq+gcS4lkDim2hJGjT7Ve3hgd+kSegiI0l/9z1yli8n7NlnwMFBL/KN2hdmUbu7E/bccxLknOzgsAuc3QXRzN1/USeMxcoS6dPHdubWBQlM/mg9/p463ru+r5N7Z6up4htIjGsJJL6JRnUQZRZsGmCudK4Bv/b1TupKUlPJ/vEnsn5cgqXAiO/ECYTNmomboepm3cJ1qfR69P36Ydy6tcY6Mq1flLuw87nFddsGebHqkZFkFRRj0Gub1SxBiW8CJL6JJvIJcA/KunRh2K5Hp6Jxk7qc334ja8mPFCQk4HXBMEKfeALvCy+0boAtWheVSkWbr7+qdlV1ax2Z1i+AEpOZrs+uYPmDw+kS5mMt9/N0/J2vhpL4JiqS+CaaxAvAi8ATjmvS7qQuefojaMPDCZg6FU1gICUnkzn7ddX9BxtlGx3RLKlUKlQynV/UQeumJsLPA5O5hqVCmgGJb6IyiW+i0Z0FJju2yXrt/YpKRc6yZTVXaqy9EYUQLdr9ozry6v/t481r+zSrO3TlJL4JIZrcZJR9X+92XJPNfu9XIUTLt+Df4xzPzCfupZVE+enR62wfa/76oHPXqZP4JoSL+Qd4FdgCpAA/ApMqnLcAM1HGtWUBw4APgU4V6pwBHgCWAmrgKuBtoOIqRzuB+4AEILis/uN29rEj8CywAegFaCudf9DOdipw2N6vJadPk/H+B4TPed5RTQohXMS4Hi17b1eJb0K0MPlALHArcGU15+cC7wALgHYoydV4IBEo36HvBpSE8A+gBLgFuBMoH5mRA4wDxgDzgF1l1/Mrq1eXj1ESxL/LXhWpcG5SZ8rKIut//5OgJ4QA4PN1R7k+LgYPrRuTB0QT7uuBWt0yB5ZLfBOihflP2as6FuAt4Bng8rKyL4FQ4CfgOmAvsALlDtyAsjrvApcArwERwNdAMfAZoAN6ANuBN7AvqTtq96exm9rxTQohBLzw617yipS16Ya/soozBcVO7pEQoqXLzc0lJyfH+ioqKqp/I0eB0yh32MoZgEHA+rLj9Sh33AZUqDMGJWvaWKHOCJSErtx4YD/KJAh7FZe9p7Qe76mBJHVCiEYR6uPOb7tPc/JsARbgdHYhyVnGal9CCGGP7t27YzAYrK/4+Pj6N3K67M/Ko0JCK5w7DYRUOq8BAirVqa6NiteoTQFwG+CJcpcvqaz8AeBlO95fDYc9fhVCiIruv6gTs37Zw8yfzaiAie+trVLHgjJ05Ej8pU3dPSFEC5SYmEhkZKT12N3d3Ym9OU8zgB3AauDiCuVjgFnAk/Vv0u6k7uQDD9R63pSTW/+rCyFc1n8HxTCxTwTJZ41c/PY/fH3boGa5nAlIfBOipfDx8cHX1/f8Ggkr+zMVCK9Qngr0qVAnrdL7SlFmxIZVqJNaqU5qhXN1+QlYBAzGdjeJHsBhO95fDbuTOrW3T53nDZdfXmsdIUTr4u2uoUuYD69eHUv/tv64a5rnDg0S34RoRdqhJF0rOZfE5aCMlbun7HgIylInW4D+ZWWrUPZnHVShztMoM2PLlyP5A+gC+NvRj3SqPuIFZeZuA+eU2Z3URcS/1LArCCFavav7Rzm7C7WS+CaEi8kDDlU4PooyMzUAiAEeRtmmqxPnljSJ4Nxadt1QHonegbJcSQlwP8rM2IiyOv8FZqOMi3sC2I2yjt2bdvZxAPAryhg6OJfIfYqSMDaAjKkTohX7cv0xPvr7COl5RXQL92X2xB70ifarsX62sYTX/m8/K/acJrughEh/Pc9d1p1RXav7uimEEE6yGRhV4Xh62Z9TgS9QFgjOR1l6JAu4AGUJE48K7/kaJZEbzbnFh9+pcN6AsiPEfSh384KA57BvOROAl1CWXUlEebT7dtnf/6XqunV2kqROiFZq6Y5TvLBsLy9c0ZO+0X58tu4oU+ZvZNWjIwnyrjr4uLjUzE3zNxLopePDG/oR6utBcpYRX4/Ky6ALIYSTjUSZiVUTFfB82asmAZxbaLgmvYE19erZOReg3D18GWVHid+BfihLpfRqWJOS1AnRSn269ijXxUVzzYBoAF6c1ItV+9L4fvMJ7h3ZsUr97zefIKughP/dMxStm7IaUnSAbHguhBAN1gFlqzIHkaROWJmNxlqPxfmzWCxYavm5qvR6VKrG33WhuNTM7uRs7h3ZwVqmVqsY1jGIrcezqn3Pn3tT6Rfjx3M/7+aPxFQCvHRc3ieSuy/sgFsdO0W8/edB7hzRvsqer4UlJj76+wgPjelUwzuFcAyJb02jucS4FiGnhnIV4I7tosZ2kqROWB0cdoGzu+DSLBYLx/97A8Zt22qso+/XjzZff9XgoFe+2no5d3f3atdxOltQjMlsqfKYNdjbncPp+dW2nXSmgH/PGpnUJ4LPb47jWGY+z/68mxKTmYfHdK61X2+vPMANg2OqJHXGYhNvrzwgSZ1odBLfGl9TxDiX4kfts1yjgJuBmdi9VYTsKNHKqfR69P361VpH368fKr2+iXrkuixGY63BDsC4dWut33Lr4pDV1mtgsUCQl474K3vTK8rAhNgI7h/Vka83JtX9XqqPXXtTcprt2nWi5ZP41rSaIsa5lC9QZtI+hbJm3U9lf48EPkSZcPEO9dpdQu7UNWM1PR5w5O1rlUpFm6+/ktvlTazTurWoK/xDYjYaHXInwd7V1v09dbipVWTk2e6bmJ5XRHA1kyQAgn3c0bqpbB61dgjxJj23iOJSMzpN1e+IvWf9HyqVChUw6rXVNv8fmc0W8otLuWFQm/p8ROEiJL65tsaKcS5lAfA6cE2FsgkokyQ+QllHLwZ4ESXZs0OzTuoyPvqY3D/+oPjIEVQeHuj79iXkkUdwb9/OWuf4TVMoSEiweZ/ftdcSPntWE/fW8Wr6BXD07WuVSoXKUwa8NyW1Xo+6hp95bWN96voHyN7V1nUaNT0jDfx7KIPxPZSlz81mC/8eymTK0OqTrAFt/Pl5+ynMZgvqssTuaHo+IT7u1SZ0AM9N6IHFYuHx/+1k2tjO+FSYKat1UxHl70n/Nvas0umaWnOMk/jm2horxrmUf1HWwKusL8oMWFBmyNb9MMSqWSd1BQkJ+P/3v+h79cRiMpH25psk3X4bHZYts/mfxW/yZIIfPLfNT0u+lV7+uMC4dWuNdcpvX0ugck21fZvtsnWLw/67335BOx5ZvINeUX70iTYwf+0xCopLmdxfmQ07fdF2Qg0ePHFxVwBuHNyGL9cfZ/bSPUwd2pZjmfl8sPoQNw9tW+M1yhcdjg5QkrfyWbNC0dpinMQ3AU0X45q9aGA+VR+vzi87B5CJfbtTlGnWSV3Mp7bzfCPi4zk4dBiFe/bgOXCgtVyl90ATHNzU3WsUtT0ukNvXrsuef+wcbUJsBGfyi3nzjwOk5xbRLcKXBbfGEeyjPH5NzjLafGOO8NOz4NY45ixL5OK31xDm68Etw9px94Udqm0/t7DEemeuR4QvhSUmCktM1db1aaVr3bW2GCfxrfVyRoxr9l4DJgO/AeW/7puBfcAPZccJwLX2N9msk7rKzLnKptpqg8GmPGfpMnJ+WYomOAjvkaMIuvcem2f5LY08Lmh97Bn7A46/QzN1aFum1nCnbdFdVfep6d/Gn5/uG2ZX27Gzf2fT02MI8nan9+zfq50oUT6B4kj8pXb32ZW1hhgn8a11claMa9YmoiRwHwEHysr+gzJhom3Z8T1V3lWrFpPUWcxmUl+KR9+vHx6dzy2f4HvZZWgjItCEhFB0YD9pr71O8bGjRL37bo1tFRUVUVR0boB4blkgbSyyPpKwh6v9Y/fNHYPx0yt34L69Y7CTe9P8OSrGSXwTzZWrxTiHaEe9ZrfWpcUkdaeff56igwdp883XNuX+156bNuLRpTOa4GCSbr6F4qQkdDEx1bYVHx/P7NmzG7W/FckjheZLFspsPIPbB1b7d1E9R8U4iW+inMS3FiALZQzd3rLjHsCtKPvKNkCLSOpOPz+HvNV/0+arhWjDwmqtq+/dG4Di4zUndTNmzGD69OnW4+TkZLp37+64DmPf+AFZH8m5GmuhzJoCaWu7g7E3pabl0qvqFl73jF1X5sgYJ/FNQNPHN2h9Me68bQbGA3ogrqzsDZQlTMr3ga2nZp3UWSwWUue8QO6ff9LmywXooqLqfE/hvn0AaEJqHlRceZX9iivwO0pjr4/UFGs8ubr6LJRp7yMDewJpa3HJO2tQUfue2tC6x9Q1RoyT+CZA4luLMA1lXN0nnMvGSoHbgYeBf+rfZLNO6k4//zw5y34l6v33UHt5UZqeDoDaxwe1hwfFSUlkL1uG94gLcfPzo+jAflLjX8ZzwAA8unRxSB9Uej1dtm6x/r1e723E8QNNtcZTa+GohTLtCaSt5Q7GmsdHObsLzZ6zY5zEt9ahKeMbtJ4Yd942Y5vQUfb3x4EBDWuyWSd1Wd9+B0DSlKk25eEvvYTflVeg0mop+Hc9Zxd8idloRBMehs+4sQTdU8/pIrVoTgM7ZY2nhrHncWhtC2U2tM3KgbRca7nbEOUv/w/WxdkxTuJby9fc4hu0nhh33nxRFhbuWqn8BODTsCabdVLXbd/eWs9rw8Np89XCJuqN88kaT/XXGI8L7G2zvoHU1R1Oz2PBv8c4lJYHQMcQb6YObUuHYG8n98x5JMadI/Gt/iS+tXDXArehrFc3tKxsHfAYcH3DmmzWSZ2oqjl9s24JGuNxqDxirb/fdqXwwLfb6BVloF+Msjz6tqSzjH/zH969vi//6RXu5B6K5kDiW/1IfGvhXkMZVDwFZSwdgBZlbboGLnMiSZ1oNRr6OLS2dbha+yNWe8X/to97R3Zg+jjbcWBv/HGA+N/2SVInxHmS+NbCmIANwCwgHjhcVt4BOI/vNZLUiWapMWa/NfRxQW2PfeQRhH3Scgu5sl/VmZ1X9I3k438OV/MOIVyXxDeBGzAOZX26dkAvxzQrSZ1olpw9+03W4XKswe0D2XTsDG2DvGzKE46dYWDbACf1SgjnkPgmAOgJHEFJ6hxEkjrRbDSn2W+NvQ5XazOmWyiv/LaP3cnZ9I3xA2BbUhbLd6Xw8JjO/JGYaq07tnuok3opROOR+CaqeAF4FJgD9Ae8Kp1vwJrsktS5oJa6F2Nzm/0mg7Yd59mfdwOwcMNxFm44Xu05aN0LEQv7SHxzXH8kvjnZJWV/TkQJfuUsZcem+jcpSZ0LaslT/yXQuKajkqgJB5H4JlzGX45vUpI6F9GaxkjIFkJCtC4S3yS+uaQLHd+kJHUuojWNkXD2IGNhvy3Hz5JVUMzobufGyf1vy0ne/PMAxmIT43qEMmtiD9w1bk7spWjuJL5JfHMZO+tRt3f9m5ekzoW48q395jTIWNjvnZUHGdw+0JrU7TudwxP/28nV/aPoGOLNR/8cIcTHg2ljOzu5p6K5k/gm8c0l9EEZL1c+bq42MqZOuCp7Bxm31EHUrioxJYdHxp1L2JbuOEWfaD9evkr5Chpu0PPmnwckqROtmsS3VuRohb9vQ5n9+hgwpKxsPfA6MLdhzUtSJ1oMe76pt+RB1K4o21hCkLe79XjjkTOM7BJsPe4dZSAlS/5hEkLiWyvRpsLfJwPvcG4WLCiPXKOBZ4FJ9W9e3fCeCdE8lD+6qI2rDKJuaYK93TlxpgCA4lIzu09l07ds71eA/OJSNG4ShoSoicQ3F7aL6hcebgckNqxJuVMnWrzWNIi6pRnZJZhXVuzjyf904/c9p9Fr3Wx2kNiXkkubQBkjJERNJL65sG4o+75+CujKyorLyro1rElJ6oRLcOVB1C3ZI+O6cPfCLVz78Xq8dBpemxyLTnPuztz3m08wvFOQE3soRPMn8c1FzQMmAFGcm+m6E2UCxdKGNSlJnRCt2Jfrj/HR30dIzyuiW7gvsyf2oE+0X7V1F28+wWM/2M7H12nUHHjhPzW2H+Cl4/u7h5BTWIKXToOb2vZuwgc39MNTJ2FICNEI3gdeBU4DscC7QJxTe2QrDmXv16+BfWVl1wL/peqWYXaSaCpEK7V0xyleWLaXF67oSd9oPz5bd5Qp8zey6tGRNpMbKvJx17Dy0XMrZqrqnJOv8PXQVlvu56mrtlwIIc7LImA6yt2wQcBbwHhgPxDivG7ZyEdJ3u50XJOS1AnRSn269ijXxUVzzYBoAF6c1ItV+9L4fvMJ7h3Zsfo3qSDEx6MJeykalQUocHYnhKjAk7rXb7PHG8AdwC1lx/OAX4HPgCcd0L4jhALXALcCDprYLEkdYDabAUhJSXFyT4RomPL/d7Ozs/H19bWWu7u74+5e9a5bcamZ3cnZ3Duyg7VMrVYxrGMQW49n1XidgmITw15ehdlioUeEgccv7kLnUB/HfRDhcLXGtwLw7eJbtVwIJ8nZn6MkdpXUK8YVA1uAGRXK1MAYlHXgmouvgC+Ai4C2KMndFCCi4U1KUgekpqYCEBfXnB62C1F/PXv2tDmeOXMms2bNqlLvbEExJrOlymPWYG93DqfnV9t2+2Bv5l7Vm67hPuQWlvLJP0e46oN/+X36CMINspxCcyXxTbQoXWo/bVeMy0DZjSHUtphQzo1daw4mlb3SgYUoCd6zKI+JbwUmUu8sTZI6oG/fvqxatYqLLrqIxMREfHzkzkO53NxcunfvLj+XSprbz8VsNpOUlET37t3RaM79Wld3l66h+rfxp38bf5vjMW/8zTcbk3hkXB2RWDiNxLeaNbff4+aiOf5cmiLGOU0wyvi/6SiTOR4DlgNBwN0oj4vtnPwsSR2g0Wjo378/AJGRkTa3dlu7nJwcQH4ulTXHn0tMTIzddf09dbipVWTkFdmUp+cVEVzDJInKtG5qekT4cixTBmU1ZxLfatYcf4+bg+b6c7E7xgUBbkBqpfJUIMyxfXKIVGAByp2648DVwG3ASeAVYAPwu31NyVLuQrRCOo2anpEG/j2UYS0zmy38eyiTfm387GrDZLaw73QuIT4u8E1ZCOE6dEB/YGWFMnPZ8ZBq3+EcS1DWqYsGvgHuBZJRxtqNAm4CfgZW29+k3KkTopW6/YJ2PLJ4B72i/OgTbWD+2mMUFJcyub8yG3b6ou2EGjx44uKuALz950H6xvjRNtCLnMISPvrnCMlnjVw3MNqZH0MIIaqaDkwFBqCsB/cWyhIit9TynqZ2C3AdsA4YWEOdCOBp+5uUpK6Mu7s7M2fOdI3n8w4kP5fqucLPZUJsBGfyi3nzjwOk5xbRLcKXBbfGEVx25y05y2iz9VC2sYQZS3aRnluEr15Lr0hf/nfPUDrJ7NdmzxX+f20M8nOpnkv8XK5FmYDwHMriw32AFVSdPOFMKdQ9Vk4PzLS/SZXFYrGcR5eEEEIIIYS9cuys14DhjJLUCSGEEEI0FTW1L7BsKTtvqn/T8vhVCCGEEKKp/FXh7xbgEuBTIPL8m5Y7dUIIIYQQzuID7ADan39TsqSJEEIIIYQLkKQOeP/992nbti0eHh4MGjSITZs2ObtLTe6ff/5hwoQJREREoFKp+Omnn2zOWywWnnvuOcLDw9Hr9YwZM4aDBw86p7NNJD4+noEDB+Lj40NISAiTJk1i//79NnUKCwu57777CAwMxNvbm6uuusq6LZMQzUVrj3ES36onMc71tPqkbtGiRUyfPp2ZM2eydetWYmNjGT9+PGlpac7uWpPKz88nNjaW999/v9rzc+fO5Z133mHevHls3LgRLy8vxo8fT2FhYRP3tOn8/fff3HfffWzYsIE//viDkpISxo0bR37+ub1Rp02bxtKlS1m8eDF///03p06d4sorr3Rir4WwJTFO4ltNJMY1I7VNnKgPSysXFxdnue+++6zHJpPJEhERYYmPj3dir5wLsPz444/WY7PZbAkLC7O8+uqr1rKsrCyLu7u75dtvv3VCD50jLS3NAlj+/vtvi8Wi/Ay0Wq1l8eLF1jp79+61AJb169c7q5tC2JAYZ0viW80kxjWRKyq9NBaLZVw15Q3Qqu/UFRcXs2XLFsaMGWMtU6vVjBkzhvXr1zuxZ83L0aNHOX36tM3PyWAwMGjQoFb1c8rOzgYgICAAgC1btlBSUmLzc+natSsxMTGt6ucimi+JcXWT+HaOxLgmYqj0uhFl54jK5Q3Qqpc0ycjIwGQyERpqu8R0aGgo+/btc1Kvmp/Tp08DVPtzKj/n6sxmMw8//DDDhg2jZ8+egPJz0el0+Pn52dRtTT8X0bxJjKubxDeFxLgm9HnjNd2qkzoh7HXfffexe/du1q5d6+yuCCGEw0mMcw2t+vFrUFAQbm5uVWbypKamEhYW5qReNT/lP4vW+nO6//77WbZsGX/99RdRUVHW8rCwMIqLi8nKyrKp31p+LqL5kxhXt9Ye30BinCtp1UmdTqejf//+rFy50lpmNptZuXIlQ4YMcWLPmpd27doRFhZm83PKyclh48aNLv1zslgs3H///fz444+sWrWKdu3a2Zzv378/Wq3W5ueyf/9+kpKSXPrnIloOiXF1a63xDSTGuaJW//h1+vTpTJ06lQEDBhAXF8dbb71Ffn4+t9xyi7O71qTy8vI4dOiQ9fjo0aNs376dgIAAYmJiePjhh3nhhRfo1KkT7dq149lnnyUiIoJJkyY5r9ON7L777uObb77h559/xsfHxzqGxGAwoNfrMRgM3HbbbUyfPp2AgAB8fX154IEHGDJkCIMHD3Zy74VQSIyT+FYTiXEuyAGTc1u8d9991xITE2PR6XSWuLg4y4YNG5zdpSb3119/WVB2obN5TZ061WKxKNP+n332WUtoaKjF3d3dMnr0aMv+/fud2+lGVt3PA7B8/vnn1jpGo9Fy7733Wvz9/S2enp6WK664wpKSkuK8TgtRjdYe4yS+VU9inOuRvV+FEEIIIVxAqx5TJ4QQQgjhKiSpE0IIIYRwAZLUCSGEEEK4AEnqhBBCCCFcgCR1QgghhBAuQJI6IYQQQggXIEmdEEIIIYQLkKROCCGEEMIFSFInAFi9ejUqlarKxs1NZeXKlXTr1g2TyQTArFmz6NOnT73bKS4upm3btmzevNnBPRRCtFQS30RrIUldKzRy5Egefvhhm7KhQ4eSkpKCwWBwSp8ef/xxnnnmGdzc3M6rHZ1Ox6OPPsoTTzzhoJ4JIVoSiW+iNZOkTgBKsAgLC0OlUjX5tdeuXcvhw4e56qqrzqud4uJiAG644QbWrl3Lnj17HNE9IUQLJ/FNtBaS1LUyN998M3///Tdvv/02KpUKlUrFsWPHqjye+OKLL/Dz82PZsmV06dIFT09Prr76agoKCliwYAFt27bF39+fBx980PpIAaCoqIhHH32UyMhIvLy8GDRoEKtXr661T9999x1jx47Fw8OjyrmFCxfStm1bDAYD1113Hbm5udZzI0eO5P777+fhhx8mKCiI8ePHA+Dv78+wYcP47rvvzv8HJoRoMSS+idZOkrpW5u2332bIkCHccccdpKSkkJKSQnR0dLV1CwoKeOedd/juu+9YsWIFq1ev5oorrmD58uUsX76chQsX8tFHH/HDDz9Y33P//fezfv16vvvuO3bu3MnkyZO5+OKLOXjwYI19WrNmDQMGDKhSfvjwYX766SeWLVvGsmXL+Pvvv3n55Zdt6ixYsACdTse6deuYN2+etTwuLo41a9bU98cjhGjBJL6J1k7j7A6IpmUwGNDpdHh6ehIWFlZr3ZKSEj788EM6dOgAwNVXX83ChQtJTU3F29ub7t27M2rUKP766y+uvfZakpKS+Pzzz0lKSiIiIgKARx99lBUrVvD555/z0ksvVXud48ePW+tXZDab+eKLL/Dx8QHgpptuYuXKlbz44ovWOp06dWLu3LlV3hsREcHx48ft+6EIIVyCxDfR2klSJ2rk6elpDXgAoaGhtG3bFm9vb5uytLQ0AHbt2oXJZKJz58427RQVFREYGFjjdYxGY7WPJtq2bWsNeADh4eHWa5Xr379/tW3q9XoKCgpq+XRCiNZM4ptwRZLUiRpptVqbY5VKVW2Z2WwGIC8vDzc3N7Zs2VJlllfFQFlZUFAQZ8+etev65dcq5+XlVW2bZ86cITg4uMZrCiFaN4lvwhVJUtcK6XQ6m8G/jtK3b19MJhNpaWkMHz68Xu9LTEx0aF92795N3759HdqmEKL5k/gmWjOZKNEKtW3blo0bN3Ls2DEyMjKqfDtsqM6dO3PDDTcwZcoUlixZwtGjR9m0aRPx8fH8+uuvNb5v/PjxrF271iF9KLdmzRrGjRvn0DaFEM2fxDfRmklS1wo9+uijuLm50b17d4KDg0lKSnJY259//jlTpkzhkUceoUuXLkyaNImEhARiYmJqfM8NN9zAnj172L9/v0P6sH79erKzs7n66qsd0p4QouWQ+CZaM5XFYrE4uxNCPPbYY+Tk5PDRRx+dd1vXXnstsbGxPPXUUw7omRBCnB+Jb6KpyJ060Sw8/fTTtGnT5rwflRQXF9OrVy+mTZvmoJ4JIcT5kfgmmorcqRNCCCGEcAFyp04IIYQQwgVIUieEEEII4QIkqRNCCCGEcAGS1AkhhBBCuABJ6oQQQgghXIAkdUIIIYQQLkCSOiGEEEIIFyBJnRBCCCGEC9A4uwNCCFEds8XM5tOb2ZK2hZS8FApLC/H38KdrQFeGRAwhzCvM2V0UQohmRXaUEEI0K4WlhSzYs4Dv939PdnE2XQK6EKIPwV3jTnZRNoeyDpFekM6QiCHcHXs3scGxzu6yEEI0C5LUCSGalTGLxxAbHMvlHS9nSMQQtGptlTqn8k6x/OhyFu9fzB297+Dqzlc7oadCiNbouLGIjdn5nCwsxmgyE6jV0NNHzwBfLzzcnDuqTZI6IUSzciTrCO392ttVt8Rcwum800T7Rjdyr4QQrd3/Tp/hk5MZ7MgtIFinIUynxcNNzdmSUo4bi3FXq7gy1J/724QS7aFzSh8lqRNCNEul5lI+2fUJV3S8QsbPCSGcakzCfrQqFdeEBzAu0JfISklbkdnM5ux8fk7LYll6Fi93jmZiiF+T91OSOiFEszXo60EsuXwJkd6Rzu6KEKIV+yszh1GBvnbVPVNSyonCYmJ9PBu5V1XJkiZCiGYrLjyOzac3O7sbQohWrjyhKzVb+P70GdKLS2qsG6DVOCWhA1nSRAjRjA2PHM5bW9/i4NmDdA/sjl6jtzk/KmaUk3omhGiNNGoVT+w/wT+Dujm7K9WSx69CCD7d9Slvb32bG7vdyBNxTwBQZCri1YRXWXFsBcWmYoZFDOPpwU8TpA+yvi8lL4U5G+aQcDoBT60nEztM5KF+D6FRn/u+mHA6gVcTXuVQ1iHCvMK4s/edTOo4ya5+9V7Qu8ZzKpWKHVN2NOwDCyFc2vqsPD5ISmNnbgGpxaV83rMt/wn2s563WCzMPXqar1MyySk1MdDgxSudo2nv6V5n21dsO8hdUSFcHGxoxE/QMHKnTohWbnfGbn448AOd/TvblM/dNJd/kv/h9Qtfx1vnzUsbX2LaX9NYeMlCAExmE/euvJcgfRALL1lIekE6T699Go1aw0P9HgLgZO5J7lt5H5M7T+bl4S+zIWUDs/6dRbA+mGGRw+rs286pOx3/gYUQLq/AZKaHt57rwwO4dfexKuffS0pjfnI673RtQ4xexytHU7hux2H+ieta57IkN0cGMfNQMslFyrg5z0r1u3vra3hn45OkTohWrKCkgCfXPMnMITP5eOfH1vLc4lyWHFrCK8NfYVD4IADmDJvD5T9dzo70HcQGx/LvqX85kn2ET8Z9QpA+iK4BXbm/7/28ueVN7o29F62blu8PfE+kdySPDXwMgPZ+7dmWto2FiQvtSuqEEKIhRgf6MrqGiQ0Wi4VPTqbzcJsw6922d7u1ode63azIyGZSqH+tbd+95zgAzxxMtpapAEvZn6dG9XHAJ2gYSeqA0tJStm3bRmhoKGq1zB0RLY/ZbCYpKYnu3buj0Zz7tXZ3d8fdvebHCS9ufJHhkcMZEjHEJqlLzEyk1FzK4IjB1rL2hvaEe4WzI01J6nak76CTXyebx7FDI4YyZ8McDmUdoltgN3ak7WBw+GCbaw6NGMrchLl2f7YNKRvYmLKRM4VnMFvMNufmDJtjdzutlcQ34QoaGuOqk1RYTFpxKSP8va1lvho3+vp4sjknv86kbtOQ7vXrfBOSpA7Ytm0bcXFxzu6GEA43c+ZMZs2aVe25347+RmJmIt9d9l2VcxnGDLRqLb4622+6gR6BZBRmWOsE6gNtz5cdZxiVOpmFmdXWySvJo7C0EA+NR639/3D7h8zbOY8egT0I0gehQlVrfVGVxDfhymqLcTVJKy4FIFhnu1tNsE5rPVcbZy0sbA9J6oDQ0FAANm3aRHh4uJN7I0T9paSkEBcXx+7du4mOPre7Qk3fYE/nn+blTS/z8diPcXer37fcpvT9ge95YdgLTOgwwdldabEkvglXUN8Y19iOFBSxLiuXjOJSzJWmmz7SznmLpUtSB9ZHEuHh4URFRTm5N0I0nMFgwNe37gUy92Tu4UzhGa5ddq21zGQxsSV1C9/u+5Z5Y+dRYi4hpzjH5m5dZmEmQR7K49YgfRC7M3bbtJtpzLSeA+XOXnlZxTreWu8679KBsg1Yn+A+ddYTNZP4JlyJvTGuNiE6JfVJLy4h1P3c3br04hJ6+tQ9yeGrU5k8ceAEAVoNITqNzRMEFZLUCSGa2ODwwSyZuMSm7Nl1z9LO0I5be95KmFcYGrWGjSkbGdtmLABHs4+Skp9CbEgsALHBsXyy6xMyjecesa5PWY+31psOfh2UOiGxrDm5xuY661PWExsca1c/r+x0Jb8e/ZW7Y+8+r88rhBDlYjx0hOg0rDmbR8+yRYJzS01syy3g5sigOt4Nbx47zZPtwnmgTWhjd7XeJKkTohXy0nrRyb+TTZleo8fP3c9afmXHK3k14VUMOgNeOi/iN8YTGxxrTciGRgylvaE9T619iun9p5NhzOC9be9xXdfr0LkpY06u6XwN3+37jjc2v8GkTpPYlLKJ34/9zvuj36+xbxUnUVgsFr488CUbUjbQ2b+zzfp3AI8PfNwhPw8hhGvJLzVx1FhkPU4qLGZ3bgF+Wg1RHjruiArmreOptPd0J8ZDWdIkVKfl4qC6157LLjU5ZV9Xe0hSJ4So1uNxj6NKUDFt9TRKzCUMjRjKM4OfsZ53U7vx/uj3mbNhDjcuvxG9Rs/EDhO5r8991jpRPlG8P/p95ibM5au9XxHqGcqsobNqXc5k35l9NsddA7oCcCjrkE25TJoQQtRke24BV20/bD2eeegUANeE+fNOtzbcHxNCgcnMo/tPkFNqIs7gxbex7etcow5gQogfq8/kMjWy+Y1Hlh0lgJMnTxIdHc2JEydkzEklFosFi9FY43mVXo9KJf+4Opv8PyxqIv9v1EziW8vh7P+PPz2Zbv17gcnMvBNpjAn0pZuXHq3a9v+R26OCm7p7VnKnTtTIYrFw/L83YNy2rcY6+n79aPP1VxL4hEON/WEso6JHMTJ6JHFhcVUeuwpxviS+ifr46ES6zbGXmxvrs/JZn5VvU65CkjrRTFmMxloDHoBx61YsRiMqT88m6pVoDV664CVWn1jNixte5GzhWYZGDmVk9EhGRI2osnaeEA0h8U3UR0IzXnC4IknqhF06rVuLWn9uqrfZaOTgsAuc2CPhygaGDWRg2EAeG/gYh84eYvXJ1Xy791tmrptJn5A+jIweycjokUT7RNfdmBB1kPgm7DFp60HGBxkYH2SgvWfzG08HktQJO6n1etTybVU4QUf/jnT078jtvW4nw5jB6hOrWX1iNe9sfYconyim9Z/GiKgRzu6maMEkvgl7XB8eyO+Z2bx27DQR7lrGBRkYH+jLQINXs3lEL0mdEKLFCNIHcXXnq7m689UUlBSw/tR6GW8nhGgS14YHcG14AEVmM2vO5vF/GdncsecYJguMCfRlfJAvIwN80dsxg7axSDS0g8yQEsI58orzqi1XqVTo1DpGtxndxD1yPRLfhKgfd7WaMYG+jAn05dUu0WzNzuf/MnN45ehp7k08zjB/Hx6MCSHOz7vJ++bUpK4gIYHM+Z9RuGcPpenpRL33Lj5jxgBgKSkh/e23yfv7H4pPnsTN2xuvoUMInv4I2tAQaxuHLhpNyalTNu0GT59O0J13OKSPrjJDSgK3aImGfju01v8vQz1Dubzj5dwTew9qlfO+Hdekucc4iW9CnL9+Bi/6GbyY0T6cY8Yi/i8jm9TiUqf0xalJndloxL1rFwxXXUnyAw/anisspDAxkaB778G9S1fMOdmcfimek/feS7v//WBTN+jBB/CfPNl6rPbyclgfXWGGVHML3BKAhb1euOAF3tn6Dpd3vJxeQb0A2JWxi18O/8Kdve/kbOFZvtjzBTq1jjt6O+aLnCM19xgn8a1x+iPxrfVqq3fnruiQuis2Eqcmdd4jRuA9QhngnFzpnJuPDzGffWZTFvbsMxybfA0lp06hjYg4V9fLC01w468LU9sMKXMNv8TN4Re4OQXu5haARfP2y6FfeHTgo1zc9mJr2cjokXTy78QP+3/g0/GfEu4Vzsc7P26WSV1LinES3xzQF4lvrUKXNbuq3c9GhfJotq1ex7XhAVwfHtjUXWtZY+rMubmgUqH2tV2nKuOTT8n44EM0EREYLruUgKlTUWlq/mhFRUUUFZ3bEy43N9eu69c2Q6qm6e/N7RfY2VP3m1MAFs3f9vTtPDvk2Srl3QK6sSN9BwB9Q/pyOv90U3etUTgixkl8k/gmGtf0tqG8fTyViwJ86eOr/HfcnlPAqjM53BIZRFJhEU8eOInJAjdGNG1i12KSOnNREWmvvY7vpZfi5n1u8KH/TTfh0b07bn4GjNu2kfbGm5SmpRM648ka24qPj2f27Nnn3SeVXo++Xz+MW7fWWKe5/QI3p6n7zg7AovkL8wpjycElTOs/zaZ8ycElhHmFAZBdlO0SCxI7KsZJfGsefZH45ro2ZefzRLtwpkYG2ZR/mZzB32dzmd+zHd289Xx6Ml2SuupYSkpIfngaFiyEzZppcy7wlputf/fo0gWVVkvKzFkEPzIdtU5XbXszZsxg+vTp1uPk5GS6d6//atEqlYo2X39V7fgJ+QWuW3MKwKJ5eqT/Izzy9yOsTV5Lz6CeAOzJ2MPR7KO8MfINAHZn7GZ8u/HO7OZ5c2SMk/jWPEh8c11/ncnlmfYRVcqH+/sw67AyqWlMoC8vHk5p6q41/6TOUlLCyWnTKDl1ipgvPrf5Blsdfe/eUFpKyclk3Nu3q7aOu7s77u7nVoPOyclpcP9UKlWz+ZYqhKsZFTOKpVcsZfH+xRzLOQbABZEX8PZFbxPpHQnAtV2vdWIPz5+jY5zENyEal7/Gjd8zs7nL03ZCxO+Z2fhr3AAoMJnx1jT9jPxmndRZg93x48QsWIDG37/O9xTu2wdqNZrAgCboYcPJDCkh6lZiLiHSO5KH+z9c5dzZwrP4e9QdE5ozV41xEt+EK5vWNownDpxg3dk8+paPqcstYGVmDnM7K1sX/n0mlyGtbZ06c34+xUlJ1uPikycp3LsXN4MBTXAwJx96mMLERKLnfQgmE6Xp6QC4GQyodDoKtm2jcOdOPAcNQu3lhXH7dlLjX8YwYQJuBoOzPladZIaUEPZ5/O/HeWPkG1V+DzKMGdzx+x38ePmPTuqZfVpjjJP4JlzdjRGBdPZ057PkDJanZwPQwdOdH/t2YqBBWW7onhjnLGvi1KTOuHsPSVOnWo/TXn4FAMOkSQTdfz95q1YBcHTSFTbvi1mwAK9Bcah0OrKXLyf9vfexFBejjYoiYOpUAiqMQWmOZIaUEPZJyU9h5r8zeX7Y89ay9IJ0bvv9Njr6dXRiz+zTGmOcxDfRGsT5eVe7Y4TRZG6924R5DYqj2769NZ6v7RyAvkcP2i1a5OhuNSmZISVEzT4Y8wE3r7iZuQlzeXzg46QVpHHb/91GZ//OvHrhq87uXp1ae4yT+CZc0dMHTvJi56gq5fkmEzftPMqSvs77wtmsx9S1BjJDSoiaBXgE8PHYj5ny2xQA/jn5D90CuvHy8Jeb5bZgwpbEN+GK/szMwXA0hcfbhVvL8ktN/HfnESf2SiFRUQjRrIV5hfHx2I/59civ9AzqydwRc3FTuzm7W0KIVmpRnw58fSqTj0+kAZBXauLaHYdRAd/Etndq3+ROnRCiWRn67VBU1WzCU1hayN8n/uaC7849vlt3/bqm7JoQQtBW7863sR24atsh1CoVP6aeRadW8VXv9ni5OfcLpyR1Qohm5YmBTzi7C0IIUavu3noW9m7PNTsO08/Hk4W92zt1gkQ5SeqEEM3K5R0vd3YXhBAtmMli4bWjp/kh9SzpxSWE6rRcGx7AtDahDV5GZ0zC/mqeH4C7SkVqcQkTtx60lv0xsEsDe37+JKkTQjQrBSUFeGrtH1xf3/pCCNf23vE0FpzK4O2uMXTx8mBHrpGH9yXhq3Hj9qjgBrV5cVDzXBeyMknqhBDNyqU/XsoN3W7g8g6XE+xZfQC2WCysT1nPl4lfMiB0ALf3ur2JeymEaK4ScvIZH2RgbFkiFqN356e0s2zLKWhwm4+2C3NU9xqVJHVCiGbls/Gf8c7Wd/hw+4d0CehC98DuhHiG4O7mTnZRNkeyj7AjfQduKjdu73U7kztPdnaXhRBNJDc312Y/48p7HQMM9PViYUoGhwsK6eDpwZ48Ixuz8pndMaLB17VYLC1iBxRJ6oQQzUo7QzveHPUmKXkp/H78d7akbmFH+g4KSwvx9/Cna0BXZg2ZxQWRF8jSJkK0Mt27d7c5njlzJrNmzbIpe6BNCLkmExds3IebCkwWmNE+nKvCGr5f8ohN+3ikbRiXBBvQqWueEHGkoIh5J9KI9tDxQJvQBl+voSSpE0I0S+He4UztMZWpPabWXVkI0SokJiYSGRlpPa58lw7gl7QslqSe5cPubeji5cHuPCPPHUy2TphoiJc6RTHnyCmePHCSEQE+xPp4EqbT4K5Wk11q4kB+IRuz89mfX8itUUFMjQxq8Gc8H5LUCSGEEKJF8PHxwdfXt9Y6zx8+xf0xIUwK9Qegm7eek4XFvJuU2uCkbniAD78HdGFjVh4/p2WxJPUMJwtLKDSbCdBq6OmtZ3KYP1eF+uOndV5qJUmdEEIIIVyG0WRGXWn8m5tKhdly/m0P8vNmkJ/3+TfUSCSpE0IIIYTLGBvky9vHU4l011ofv847kcb14YHO7lqjk6ROCCGEEC7jpU5RvHI0hScPnCSzpJRQnZYpEUFMb9v0ExeamiR1QrRCi/YtYtGBRZzKOwVAB78O3N37boZHDQegyFTEqwmvsuLYCopNxQyLGMbTg58mSH9u8G9KXgpzNswh4XQCnlpPJnaYyEP9HkKjPhdWEk4n8GrCqxzKOkSYVxh39r6TSR0nNelnFUK0Lt4aN+Z0imJOpyhnd6XJOX+jMiFEkwv1CuXhfg+z6LJFfHfpdwwKG8SDfz3IobOHAJi7aS5/n/yb1y98nc8v/pw0YxrT/ppmfb/JbOLelfdSYi5h4SULeWHYC/x86Gfe3/6+tc7J3JPct/I+BoYN5IcJP3BjtxuZ9e8s1iWvq1dft6Ru4ck1T3LD8htIzU8FYOnhpWxN3eqAn4QQQriOBiV1lpISSlJSKDpyFFNWloO7JIRobCOjRzIiagRtfNvQ1tCWB/s9iKfGk50ZO8ktzmXJoSU8NuAxBoUPokdgD+YMm8P29O3sSN8BwL+n/uVI9hHih8fTNaArw6OGc3/f+/lu33eUmEoA+P7A90R6R/LYwMdo79ee/3b7L2PbjGVh4kK7+/nH8T+4+4+78XDzYF/mPorNxQDkFufyya5PHP+DQeKbEKLlsvvxqykvn5ylv5Dz63KMu3ZhKSkBiwVUKjRhoXgPG4bfNdeg79WrMfsrhKiFPautV2Yym/j9+O8YS43EBseSmJlIqbmUwRGDrXXaG9oT7hXOjrQdxAbHsiN9B538Otk8jh0aMZQ5G+ZwKOsQ3QK7sSNtB4PDB9tca2jEUOYmzLX783y882OeHfIsEztM5Lejv1nL+4b05eOdH9vdTl0kvgkh6uOYsYjvUs5wzFjEnE6RBOu0rMzMIdJDS1cvvdP6ZVdSl/n5F2TOm4c2JgbvUSMJvOsuNCEhqD3cMWVnU3TwIAWbt5B02+3oe/cm7Jmn0bVt27g9F0JUYc9q6+UOnD3AjctvpNhUjKfGk7dGvUUHvw7sO7MPrVqLr852LahAj0AyCjMAyDBmEKi3nUlWfpxhVOpkFmZWWyevJI/C0kI8NB51fp5j2cfoH9q/Srm3zpvc4tw6328PiW9CiPr492weN+w8zECDFxuy8pnRPhyAxDwj36RkMr9nO6f1za6krnDXLtp8tRD3Tp2qPa/v3Ru/q67CXFxM9pIlFGzZIkFPCCewZ7X1cu182/HDhB/ILcnlj2N/8MzaZ/j84s+bopt2C9QHkpSTRKR3pE35trRtRPk4ZhC0xDchRH28eOQUT7QL5+6YEDr8s9NaPszfm8+SM5zYMzuTusg3XrerMbVOh/9119l98YKEBDLnf0bhnj2UpqcT9d67+IwZYz1vsVjIePddzi5ejDknF32/voTPnGkTUE1ZWZx+4UXy/voL1Gp8xo0l7KmnUHt52d0PIVyFPautl9O6aYnxjQGgR2APdmfu5qu9X3Fx24spMZeQU5xjc7cuszCTIA/lcWuQPojdGbtt2ss0ZlrPgXJnr7ysYh1vrbddd+kAru58Na9seoXnhz2PSqUivSCdHek7eH3z69zZ+0672qhLY8U3kBgnhCvam1/IB90NVcqDtBrOlJQ6oUfnOHX2q9loxL1rF0Kfe7ba85mffsqZhV8RPmsWbb9fhFrvSdLtd2AuKrLWSX7scYoOHSLms/lEz/uQgs2bSXluZlN9BCFchsViodhUTPfA7mjUGjambLSeO5p9lJT8FGJDYgGIDY7lYNZBm6Rtfcp6vLXedPDroNQJiWVDygaba6xPWU9scKzdfbqt521c0v4Sbv/9dgpKCrh5xc3M+ncWV3e+mhu63XA+H7dJSIwTwvUYNG6kFVdN3nbnGQnTaZ3Qo3PqvU6duaCAjE8+oWD9BkrPnAGz2eZ8xz//sLst7xEj8B4xAoDkSucsFgtnvvySoLvvxmf0aAAiXnmZg8MuIPfPPzFceilFhw+Tv2YNbRcvRt+rJwBhzzzDiTvvIuTxx9GGhtT34wnRKry15S0uiLyAcO9w8kvyWX5kOQmnE5g3dh4+Oh+u7Hglrya8ikFnwEvnRfzGeGKDY60J2dCIobQ3tOeptU8xvf90MowZvLftPa7reh06Nx0A13S+hu/2fccbm99gUqdJbErZxO/Hfuf90e/X1jUbKpWKO3vfyS09biEpN4mCkgI6+HXAU+vZKD8XR8Y3kBgnhCu6PMSPFw6f4pMebVEBZgtsyspj9qFTTA5r2N6yjlLvpC7lmWcpSEjAcPlENMHBUGl/NUcpOXkSU3oGXkOHWMvcfHzQ9+6NcfsODJdeinH7dtS+vtZgB+A1ZAio1Rh37kA7dmy1bRcVFVFU4Ztwbq5jBlwL0VKcKTzD02ufJt2Yjo/Oh07+nZg3dh5DI4YC8Hjc46gSVExbPY0ScwlDI4byzOBnrO93U7vx/uj3mbNhDjcuvxG9Rs/EDhO5r8991jpRPlG8P/p95ibM5au9XxHqGcqsobMYFjms3v3VummtdwAbU1PFN2i8GCfxTYjG9VT7cGYcOEm/9XswWWDEpn2YLBauDPVnmpN3rah3Upe3Zg3RH83Ds1+/xuiPVWm6MtjQLdB29pxbUBClGenWOpoA26xYpdHgZjBgyqh5sGJ8fDyzZ892cI+FaDmeH/Z8refd3dx5ZvAzNolcZRHeEXw45sNa2xkYNpDFExY3qI8ABSUFzN89n40pGzlTeAazxfbO2YqrVjS47eo0VXyDxotxEt+EaFw6tZrXu8YwrW0Y+/ILyTeZ6OXtSXvP2pePagr1TurcfH1xM1QdINiSzJgxg+nTp1uPk5OTqywFIYRwvln/zmJz6mYu63AZwfpgVDTenTOQ+CaEsF+Uh44oD52zu2Gj3kld8EMPkv7Ou0S8HI9a33gL7GmClRl0psxMtCHnxo2YMjJw79bNWqf0zBmb91lKSzFlZ+MWFERNKi/IWnGxViFE87E2eS3vj3mfviF9m+R6TRXfoPFinMQ3IRqXyWJhUcoZ1pzNJaOkFLPF9vz/+nZ0TsewM6k7csWVVPyCXHI8iYPDLkAbGQla2ybaL1nikI5po6JwCw4if/0GPMoCnCkvD+POnfhdrywroO/TB3NODsbde9D37AFA/oaNYDaj723/DDshRPPk6+6LQde4d86cEd9AYpwQLdUzB5NZdPoMYwJ96erl0ehPEOrDrqSufGaWo5nz8ylOSrIeF588SeHevbgZDGgjIgiYMoWMefPQtW2DNjKK9HfeQRMSYl3nyb1DB7yGDyfluWcJnzULS2kpqXPm4HvJJTIrTAgXcF+f+3hv+3u8eMGL6DWNc+esseIbSIwTwhX9nHaWj3u0ZUygfWuCNiW7krrg+++ru1IDGHfvIWnqVOtx2suvAGCYNImIl+MJvP12LEYjKc/NxJyTg75/P6I/+Rh1hUcLka/O5fScF0i6+ZayhTnHEfb0U43SXyFE0/oy8UtO5J5g5KKRRHhHoFXbrgH1/YTvz/sajRXfQGKcEK5Iq1LRTt+8xtKVs3tM3aknnsRzyGC84uLQRkQ45OJeg+Lotm9vjedVKhXBDz5I8IMP1ljHzc+PyNdfc0h/hBDNy0XRFzXJdRojvoHEOCFc0d3RIXxyMoP4TpGoGnHZo4awO6krOXWK0zNnYSkpQRsZieegOLwGDcJz0CCbQb5CCOEo9/S5p0muI/FNCGGvTdn5rMvKZVVmDl28PNBWSuw+69XOST2rR1LXZuGXmIuLMW7dRsGmTRRs2kTKL0uxlJaia9NGCYKDB+N78cWN2V8hhHA4iW9CCHv5atz4T5Cfs7tRrXotaaLW6fAaPAivwYMAMBcVYdy2jbx/1pD1/fdkfb9Ygp4Q4rwM+3YYy65Yhr+HP0O/HVrrzLJ1169z2HUlvgkh7PF2txhnd6FG9V6nDsBSXEzB9u0UbEqgYONGjDt3KjO2xo1zdP+EEK3M4wMfx0vrBcATA59o8utLfBNCtFR2J3UFCQnkb9pEwcZNGHfuRBsejufAgfhdcw0Rr85FGxbWmP0UQrQSl3e8vNq/NyaJb0KI2oxN2M/iPh3w02oYk7C/1pXp/hjYpcn6VZndSd3xKVPRhocTeMftRL7xOppadmwQQoiGyivOs7uut87bIdeU+CaEa0kpKuaFwymsyszBaDbTVu/OW11j6OPr2aD2xgcZ0KnVAFwc1Hy3ErQ7qQu8/TbyN20i9aV4zn77HZ4DB+IZF4dn3EA0/v6N2UchRCsy9NuhdS4TYLFYUKlU7JiywyHXlPgmhOvIKillwtaDDPPz4evY9gRqNRw1FuGndWtwm4+2C6v2782N3UldyCOPAMoK6QVbtlCwaROZ8+eT/OijuLdtUxYEB+F78fhG66wQwvXNHz+/ya8p8U0I1/FeUhqR7jqbCQ1t9O61vKNhtucUcLCgEIDOXh7E+jTsLqAj1XuihNrLC+8RI/AeMQIAU1YWmV98wdmvvubsd4vwvXiPwzsphGg9BoYNdNq1Jb4J0bzl5uaSk5NjPXZ3d8fd3TZh+7+MbEYF+HL77qOsz8on3F3LzZFB3BgR6JA+nCos5p7E42zKzsegUe7+ZZeaGGjwYl73NkR4OG+3iXondRazmcJdu5RBxZsSMG7dirmgAG14OD5jxzZGH4UQrdiW1C0sPrCYk7knef3C1wn1CmXp4aVEekfSL7SfQ68l8U2I5q179+42xzNnzmTWrFk2ZUmFxSw4lcFdUcE81CaU7bkFPHPwJFqVimvDA867D4/sP0GJxcKaQV3p6OkBwKGCQh7em8Qj+0/wbWyH875GQ9md1GV++in5mzZh3LoNc34+mtBQPOMGEvrUDDwHDUIXFdWY/RRCtEJ/HP+Dp9Y8xaXtL2Vv5l6KzcUA5Bbn8smuT/gw9EOHXEfimxAtQ2JiIpGRkdbjynfpAMwWiPXR81QHZcu/Xj6e7Msr5MtTGQ5J6tZn5bG0XydrQgfQ0dODFztHMWnrwfNu/3zYndSdWfAlnnFxhDz+GF6DBqFr06Yx+yWEEHy882OeHfIsEztM5Lejv1nL+4b05eOdHzvsOhLfhGgZfHx88PX1rbVOiE5DZy8Pm7JOXh78mp7tkD5EuOsosViqlJssFkLdtQ65RkPZndR1WvNPY/ZDCCGqOJZ9jP6h/auUe+u8yS3Oddh1JL4J4TriDF4cLiiyKTtSUESUh2MSruc6RPD0gWTiO0dZl0jZnlPAsweTmVl2d9BZ7E7qSk6dsqueNsK5H0gI4ToC9YEk5SQR6R1pU74tbRtRPo57JCrxTQjXcWd0CBO2HuDtY6lMDPFjW24BC09l8lqXhseMLmt22Sw4XGAyc8mWA2jKll8qtVjQqFRM23eC/wT7nd8HOA92J3WHxlQYJFx+27HiWlIWC6hUdEuU2WFCCMe4uvPVvLLpFZ4f9jwqlYr0gnR2pO/g9c2vc2fvOx12HYlvQriOvr6efNazHS8dSeGN46eJ8dAxp1MkV4U1fDzd8x0j667UDNg/+1WlQhsaiuGKK/AeNQqVpuGL+AkhhD1u63kbZouZ23+/ncLSQm5ecTM6Nx1Te0zlhm43OO5CEt+EcCnjggyMc+DOD+UTLErNFpaknWVUgA/BOueOn6uO/WPqVv9F1k8/kb3kR84uWoRhwgT8rr4K9w7Om7orhHBtKpWKO3vfyS09biEpN4mCkgI6+HXAU+vYRT4lvgkh7KFRq3hi/wn+GdTN2V2pltreiprgYILuuIMOvy0n6u23MOVkc+yaazl67bWc/f57LGZzY/ZTCNGKad20eGm9CPYMdnhCBxLfhBD26+Prye7cAmd3o1r1XnwYwLN/fzz796d02jSSH3mU07Nm4ztuHG5+fg7unhCiNSs1l/Lhjg/5Zu83FJQqQdRT48n1Xa/nnj73oFU7/vGHxDchRG1ujgxi1qFTnCoqIdbHE0832/tj3b31TupZA5O6gq3byFryP3JX/B+6du0Ie+5Z1HWsGyOEEPUVvzGeP5P+ZFr/acQGxwKwI30HH+74kOyibJ4d8qzDrynxTQhRm7v3HAfgmYPJ1jIVYCn789SoPs7oFlCfJU3S0sj++Weyl/yIKScHw2WX0eabr/Ho3Lkx+yeEaMWWH13O3BFzGR413FrWJaALYV5hPPHPEw5L6iS+CSHstWlI97orOYn9S5pcNBptSAiGSZPwvugiVFoNWCwU7t9vU8+jSxeHdvDQRaOrXUPK/7/XE/bccxy/aQoFCQk25/yuvZbw2bMc2g8hRNPTuemqrFEHEOUd5dBHrxLfhBD2ivbQObsLNbL/8avJRElKChkffkjGvHlKWeVtMhphHae2PywGk8l6XHTwIEm33obP+IutZX6TJxP84APnuqF33vNsIYTjXNf1OubtnMcLw15A56YE0mJTMR/v+pjru17vuAtJfBNC2On702dqPX/NeayHd77sTuo6/vlHY/ajRpoA2x9OxiefoI2JwTNuoLVMpfdAExzc1F0TQjSyfZn72Hh6I2MWj6FzgPIo9MCZA5SYSxgUPoiH/3rYWvetUW81+DoS34QQ9nq2wlg6gBKLBaPJjE6tQq9Wt4ykLn/DBrwvugiNv39j9qdWluJicn5ZSsDNN6OqsNp7ztJl5PyyFE1wEN4jRxF07z2oa/k2W1RURFHRuX3hcnMdt4ekEMJxfHQ+jIkZY1MW5hnm8OtIfBNC2Gv/8F5Vyo4UFPHEgRPcGx3ihB6dY3dSl/3LUk7Pfh6P7t3xHn0RPhdd1OQLc+auXIkpNxfDFVdYy3wvuwxtRASakBCKDuwn7bXXKT52lKh3362xnfj4eGbPnt0UXRaiWfp016f8efxPjmYfxUPjQWxwLNP6T6OdoZ21TpGpiFcTXmXFsRUUm4oZFjGMpwc/TZA+yFonJS+FORvmkHA6AU+tJxM7TOShfg+hUZ8LLQmnE3g14VUOZR0izCuMO3vfyaSOk+zq5wsXvOCwz1wbiW9CiPPR3tOdp9tHcP/e46wNdN5sebuTujYLvsCUnU3e33+Tu+ovMud9hFtQID6jLsJn9EXo+/dHpbZ7LeMGyfrhf3gPH4429Fwm7H/tNda/e3TpjCY4mKSbb6E4KQldTEy17cyYMYPp06dbj5OTk+nevfnOZhHC0Taf3sx1Xa+jZ2BPTBYTb299m7v+uIufLv/Jurjv3E1z+Sf5H16/8HW8dd68tPElpv01jYWXLATAZDZx78p7CdIHsfCShaQXpPP02qfRqDU81O8hAE7mnuS+lfcxufNkXh7+MhtSNjDr31kE64MZFjnMaZ+/MolvQojzpVHB6aIS5/ahPpXdDAYMEydimDgRS3Ex+Rs3krtqFcmPPY6lsBDvC0fgPeoivEcMR+3p2FXfS5KTyV+/nqh336m1nr53bwCKj9cc9Nzd3XF3d7ce5+TkOK6jQrQA88bOszl+4YIXuHDRhSRmJjIgbAC5xbksObSEV4a/wqDwQQDMGTaHy3+6nB3pO4gNjuXfU/9yJPsIn4z7hCB9EF0DunJ/3/t5c8ub3Bt7L1o3Ld8f+J5I70geG/gYAO392rMtbRsLExfWmNRds/QaPhn3CQZ3A5OXTkaFqtp6AN9P+N5BPxGJb0II+/xfRrbNscUCqcUlfJacwUCDl5N6pWjQ4sMAKp0O7+HD8R4+HGbOxLhrN3l/rSLjww8pOnKY4HvvdWQ/yVryI26BAXhfeGGt9Qr37QNAEyIDi0Xrk5uba/OPeOV/4GuSV5wHgMFd2QA7MTORUnMpgyMGW+u0N7Qn3CucHWlKUrcjfQed/DrZPI4dGjGUORvmcCjrEN0Cu7EjbQeDwwfbXGtoxFDmJsytsS+jokdZZ7peFH2RHZ/a8SS+CSFqcvOuozbHKiBQp+ECP29mday6BFNTanBSV5m+V0/0vXoS/OCDWEoce/vRYjaT9eMS/CZNQqU51+XipCSyly3De8SFuPn5UXRgP6nxL+M5YIDD15MSoiWo/Jht5syZzJo1q9b3mC1mXkl4hb4hfenk3wmADGMGWrUWX53t2JBAj0AyCjOsdQL1gbbny44zjEqdzMLMauvkleRRWFqIh8ajSn/u6XNPtX93JolvQohyKU7cMaIu9UrqLKWlYDaj0p1beO/s4sUYN2/Bo2dP/G+8AZVKhUrr2P0Y8/9dT+mpFAxXXmlTrtJqKfh3PWcXfInZaEQTHobPuLEE3dM8/iEQoqklJiYSGXnum6I9d+le3PAih84eYsF/FjRm187Lnow9HMk+AiiPcHsE9nD4NSS+CSHs8frR09wTE1Jlz1ejycwHSWk80s7xM/TtVa+kLvmxx9BFRRPyiDII9+x3i0h95RW8hw8n44MPKE1Ls55zJO8LhtFt394q5drwcNp8tdDh1xOipfLx8cG3HvuUvrjhRf4++TdfXPwFYV7nAlGQPogScwk5xTk2d+syCzMJ8giy1tmdsdumvUxjpvUcKHf2yssq1vHWeld7l66y0/mneeKfJ9iWtg0fnQ8AucW59Anpw9wRc236fL4kvgkh7PH6sdNMiQysmtSZzbx+7LRTk7p6TecqTEzEa/gF1uOz3y8idMaTRL3zNpFvvUX2r8sc3kEhhONZLBZe3PAiq5JWMX/8fKJ8omzOdw/sjkatYWPKRmvZ0eyjpOSnEBsSC0BscCwHsw7aJG3rU9bjrfWmg5+yHEhsSCwbUjbYtL0+ZT2xwbF29XPWv7MoNZfy86SfWXf9OtZdv46fJ/2M2WJm1r+zGvLRayTxTQhhDwtUO4ErMc+In9at6TtUgV136k7NeAqA0tOpnF34Fdk//QwWC0X79pO/Zg3G7TvAVEppWjqnnnoagIiXXmy8XgshzsuLG19k+ZHlvH3R23hpvaxj4MrvoPnofLiy45W8mvAqBp0BL50X8RvjiQ2OtSZkQyOG0t7QnqfWPsX0/tPJMGbw3rb3uK7rddaJDtd0vobv9n3HG5vfYFKnSWxK2cTvx37n/dHv29XPzambWfifhTbr57UztGPGoBnc/NvNDvlZSHwTQtijy5pdqFAmRgzbuNcmrTNZLOSbzEyJDKrh3U3DrqQuIv4lAPI3biBg6hQ8Bwwgd/VqjFu3WhfBNOXmkrtylQQ7IVqARfsXAXDr/91qUz5n2BzrwsCPxz2OKkHFtNXTKDGXMDRiKM8MfsZa103txvuj32fOhjncuPxG9Bo9EztM5L4+91nrRPlE8f7o95mbMJev9n5FqGcos4bOsnuNujCvMErNpVXKzWYzwZ6OmQEq8U0IYY/nO0ZiwcK0fSd4rF0YPm7n7srp1CqiPXQMaElLmngNjCPluZkYLr+c7CVL8LnkP9ZzRfv2oWvTxuEdFEI43q6pu+qs4+7mzjODn7FJ5CqL8I7gwzEf1trOwLCBLJ6wuN59BJjefzrxm+J5etDT9AhSJkfsydjDywkv88iARxrUZk0kvgkhanNtuLKna4yHO3EGLzTqmtfQdJZ6JXUhTz5Banw8OcuW4Tl4MEF33WU9l/vnSgwTJzi8g0KI1uuZdc9QWFrIf5f/FzeV8q3YZDHhpnLjuXXP8dy656x1112/7ryuJfFNCGGPof7ezu5CjeqV1Gn8/YmcW/2ioaEznnRIh4QQotwTA59osmtJfBPCNb17PJUXj6RwR1QQczpF1f2GFsxhiw8LIYSjXd7xcmd3QQjRgm3LKeDLU5l096p7CSVXYNeSJikzZ1Fy+rRdDeYsX0720qXn1SkhhGgqEt+EcE35pSbuSzzO612iMTh5qZGmYtedOrcAf45cNgF9v774jBqFR8+eaEJCUOl0mHNyKDp8mIItW8hZ/huakGDCn3++sfsthBAOIfFNiJajPvtbP3nwJGMCfRkR4MObx+374lZfpwqLAYjw0NVRs2nYldSFPPQQATfcQNYPP3D2m28pOnzY5rzaywuvIUMIf362sgG2EEK0EBLfhGg57N3f+qfUs+zKNbKif2eH98FssfDmsVTmnUgj32QGwFuj5u7oEB5uE4pa5bxZsXaPqdMEBRF0990E3X03puxsSlJSsBQW4ubvjzYmBpUTP4QQQpwPiW9CtAz27G+dXFjMMweT+b5PBzzc6rVxll3ij6TwTcoZnu4QQVzZunQbs/N57ehpiswWZrQPd/g17dWgiRJuBgNuBoOj+yKEEDU6na88PnHkfq/VkfgmRPNlz/7WO3MLyCgpZezm/dYykwU2ZOXzWXIGSRfG4nYeX9S+P32GN7pGMz7oXJzo7q0nXKflyQMnW15SJ4QQTcFsMfPRzo/4cs+XFJQWAOCl8WJKjync2ftO1CrHfwsXQrRsw/19+GtgF5uyh/cl0cnTg/tiQs4roQPIKjXR0bPqHcKOXu5klVbdAacpSVInhGi23tn6Dj8e+pGH+z1Mn5A+AGxL28aHOz6k2FTMg/0edG4HhRDNjrfGjW7eepsyTzc1/tqq5Q3R3UvPZyczeLGz7Zp3n53MoLsD2j8fktQJIZqtXw7/wqwhsxgVM8pa1iWgCyGeIby44UVJ6oQQTe7ZDhHcuOsI/5zNte71ujk7n1NFJXzdu71T+yZJnRCi2couyqadoV2V8naGdmQXZzuhR0KIlujHvp0c1tZQf2/+HdSNz5MzOFRQCMClwX7cHBlEmLvWYddpiHoldcbt28n9azWWkhK8hgyW6f1CiEbVJaAL3+77lhmDZtiUf7vvW7r4d6nhXQ0j8U0IYY+ThcVEumurnRBxsrCYKCeuWWd3Upez4v9Inj4dlYcHKo2GM198QcgjjxB4262N2T8hRCs2rf807lt5HxtSNhAbHAvAjvQdnM4/zQdjPnDYdSS+CSHsFbc+kR3DehCss70rd6aklLj1iZwa1cc5HcPObcIAMj/+GL/Jk+mSsIkumzYS/NBDZHz8cWP2TQjRyg0MG8iyK5YxOmY0ucW55BbnMjpmNEuvWEr/0P4Ou47ENyGEvSyAiqozaPNNZtzVzp2Rb/eduqJjx4h88w1Ubsr+aYG33Ez6u+9SmpmJJjCw0ToohGi9UvJSCPMKq3ZCREpeCuHejlkPSuKbEKIuMw8mA6AC5h5NQV8hgTNhYWtOAT1byuxXi9GI2tvbeqzS6VDrdJgLCqCRgl76u++R8f77NmW6du3o8NtyAMxFRaS98go5vy7HXFKC97BhhM18Dk1QUKP0RwjRtC5ecjGrJq8iUG8bY7IKs7h4ycXsmLLDIddxRnwDiXFCtCS78oyAcqdub14hWvW5u3X/396dh0dRpnsf/1Z30kln33dCWEIgAiHsizooCOhxAYFBZQRHdDwojAjMKCoCimTE0SMKr+I4AiKKI4IiKucoCAIiq+yyL2FJQhaykHTWrvePSEOTnXS6Ot3357pyma6urr5Two871U89j0FRuMnHyPgWYRpVV6lBN0rkfr4CnZeX5bFaUUHeqlXoAwIt24LGPGy76gCP+LbEfvjh1Q1uV0vOSEnh8safiJ73FjofXzJeeYVzE/9K3Kef2LQGIYQ2VFWtdomuovIiPPTVL+J9o7TIN5CME6K5WJncFoCnf0tldnw0vm56jSuqqt5NnXtkJLmff2794pAQ8r5afXWDotg+9PRuuIWGVtlcUVBA7hcriX79dbx79wYgMmUOJ+/6L0x79mDs0sW2dYgGUVUV1WSqst1czTYhrjd3x1wAFEVh/q/z8XTztDxnVs3sz9xv07tfNcs3kIxrhiTfXNu8DrFal1Cjejd1bdeva8o6alR65gzHbrkVxcMDY5cuhE1+BveoKIoPHoSyMrz79rHs69G6NW5RkRRJ4GlKVVXOPDQa06+/al2KaKYO5xwGKv8sHbt0DHf91bvM3HXutAtqxyM3PWKz99Mq30AyrrmRfBOOzKEnHzYmdSYqZQ6GVq0ov5hJ1oIFnP7Tn2i9+mvKM7NQ3N3RX7ewr1twCBVZWbUet6SkhJKSEsvjgoKCJqnfVakmU52BZ+zaFcWo7YBS4bg+HFz5ceSLm1/kuZ7P4WPwqeMVzVNTZJzkW9OSfBOOrN5NXe6XX9Zrv4ChQ2+wlKp8br316oOEBIxJnTl++wAK1n6H4uFZ8wvrkJKSwqxZs2xQoahL/JbN6KoJN8VorHaslBDXmn3zbLu8jxb5Bk2TcZJv9iP5JhxNvZu6tGnPVw4idnMDVa1+J0WxeehdS+/nhyEujtIzqXj364taVkZFfr7Vb7Ll2Vno67gzbNq0aUyePNny+Pz58yQmJjZZ3a5MZzRaDT4XwhE5Qr6BbTJO8s1+JN+Eo6l3U2do05qKrGz87r2HgOHD8Uyw7RI99WEuLKT07Fn8770Xz5tuAnd3Crf+gt/gQQCUnDxF+YU0vOoYa+Lh4YGHx9U75/Lz85uybCGEg3OEfAPbZJzkmxBN72RRCVtyC8gqLcd83e+BU1pFaFMUDWjq2qxZg2nvXnK/WMmZPz2MITaWgBHD8bvnHvQ+TTPeJeO1ufjc1h/3qGjKL14ka/47KDodfnf/F3pfXwKG30/Ga/9A7++PzseHjNmzMXbpIgOIhRANokW+gWScEM3RxxeyefboWYLc3QgzuFmtLqHQTJo6AGNSEsakJMKfn0b+2rXkrVxFxtzX8R0wgMg5r6Iz2HYR2/KMdC5MmUpFbi76oCC8unUl7rPluAUFARA+bRqKTse5p59GLS3F5+Z+RLz0kk1rEHW7/jZ+ua1fNEf2zjeQjGsOJN/E9f7ndDrPtYpkYstwrUup4obuftV5ehIwdCiG6Ggy35lP/rffEjH9RbBx6EW/+WbtdXh4EPHSSxJyGjvW72atSxBO7Ez+GbanbyfHlIMZs9Vz45PG2/z97JVvIBnXHEi+ievllVdwb1iA1mVUq8FNXVlGBnmrviR31UrUIhN+995DxMwZ6P39m6I+4aAUoxFj166Ydu+ucR+5rV801oqjK5j9y2wCPAIIMYZY3VGooNi8qZN8EyD5Jmp3T1gAG3IKGBtt21VtbKHeTV3+d9+Ru3IVRTt24H1zP8KffRafP/zBsgC2cC2KotBy2cfVzqpu2Udu6xeN9P6+95mYPJFxncY16ftIvolrSb6J2rQyevDaqTR25RfSwdtotQYswGMxVVeIsZd6N3XnJ0/BPTKSoLFjcQsOpuzceS4tq7r+YJMsoyMckqIoKHI7v2hC+aX5DIob1OTvI/kmrif5Jmqy9EI23no9W3ML2ZpbaPWcQjNp6twjI0FRyF+zpuadmmptRCGESxrUchBbL2ylRUKLJn0fyTchRH3t6OO48z46/NqvQgjb25m+k8UHF3Mo+xCZpkzeuu0tBsQOsDyvqioL9izgi2NfUFBaQJewLkzvPZ2Wfi0t++SV5DFn2xw2ntuIDh0DWw7kuZ7P4eV+9erGkZwjzNk2hwNZBwj0DOShDg/xaMdH611nrF8s83+dz97MvbQLbIebzjqyRncY3YizcJXkmxCioUrNZlKLS4nz9MBN5xgfxetsdaCy9HTSpssdWkI0B6ZyE+0C2/FCrxeqff7DAx/yyW+fML33dJbdtQyjm5Envn+Ckoqra4o+u+lZTuSe4P073mf+gPnsytjFzK0zLc9fLr3ME98/QaRPJJ/d/RlTuk/h3T3v8vnRz+td54qjK/By92JXxi4+PfwpSw8ttfqyF8k3IcQVRRVmnjmcSquf9vGH7Yc5X1IKwPNHz/HOmQxNa7uhKU2qU5GbS+4XXxD5ysu2OqQQooncEnMLt8TcUu1zqqry8W8f85fOf+H22NsBmHPzHPp/1p/1qeu5s9WdnMw9yZbzW1j+X8u5KeQmAKb1msaTPzzJ1O5TCfMK45uT31BmLuOVvq/grnenbWBbDucc5qODHzGy3ch61bl2+Frb/MCNJPkmRPPx9pkMvsnM5XhRCZ46HT38vXixTRRtvW58zfhrzTl5gYOXTazs0pYH9520bL810Jd/nk7XdP46m12pE0I4h3OXz5FlyqJ3VG/LNl+DL51CO7E3cy8AezP34mvwtTR0AL0je6NTdOzP3G/Zp1t4N9z17pZ9+kX143T+afJK8hpUU1lFGafyTlFuLm/MjyaEcAFbcy/z5+gQvukWz3+6tKHMDKP2nKCwosImx/8uM4+U+Bh6Bfhw7YeuCd6enDaV1Pg6e7DZlTohhPYKCgqs1vq8fh3Q+sg2ZQMQ7BlstT3YM5gsUxYAWaasKs+76dzw9/C32ifaN9r6GMZgy3v4e9Q995up3ETKthRWn1gNwNfDvqaFbwvmbJtDmFcYj3V6rEE/mxDC+X2a1Mbq8bwOsXTccoB9BSb6BDR+2b+csnJCDFXbpyKzGa1H1smVOiGcSGJiIv7+/pavlJQUrUtqlHm753Hk0hE+HPwhBv3VFR16R/bmf0//r4aVCSGai4Lyyit0AW62mXcyydeL77Pzq2xfdiGb7v7eNnmPG1XvK3XnJk6s9fmK/IJGFyOEaJxDhw4RHX316lhDr9LBNVfTirMJ9bo631J2cTbtg9oDEGIMIbs42+p15eZy8kryCDGGXN3HZL2P5Sqg0foqX03Wp67n9T+8TlJoktWi2W0D2nK24GwDf7KaSb4J0Tw09NMIs6oy/fh5evp708HHNiuATGsdyUP7TnK0sJgKVeWDc5kcLSxhR34hq5Lb2uQ9blS9r9TpfHxr/XKPisL/vvuaslYhRB18fX3x8/OzfN1IUxfjE0OIMYRtadss2y6XXmZ/5n6SQpMASApNoqC0gIPZBy37bE/bjlk10ym0k2WfXRm7KDOXWfbZmraVOL+4en30CnCp+BJBnkFVtpvKTVZNXmNJvgnRPDT004jnjp7jcKGJ9xJb1rpfQ/QK8GFdjwQqVJX23kY25BQQYnDjm67xJPlqO2F1va/URaXMaco6hBB2VFRWRGpBquXx+YLzHM45jL/Bn0ifSP7U4U8s3LeQWN9Yon2jmf/rfEK9Qi13w7YOaE2/6H7M+nkW03tPp1wtZ872OQxpNYQwrzAA7mp9F+/ufZcZW2bwaMdHOZ57nGW/LeNvPf5W7zoTgxP56dxPlvnorjRyXxz7wtJg2oLkmxDNQ0M+jZh29Bw/ZOezKrktUZ6GGve7EXFGD95oH2vTY9qC3CghhAs6mH2QR//36iTAr+98HYB729zLqze/yqMdH8VUbmLW1lkUlBaQHJ7MewPfw0N/NUBfu+U1Xt32Ko/932PolMrJh6f1nGZ53tfgy8I7FjJn2xxGrRlFgGcAT3R+ot7TmQA83fVpxv8wnpO5J6lQK1j22zJO5J5gT+YeFg1ZZIMzIYRoTq58GlEbVVV5/th5vsvMY2VyW1oaG/6JRW2ujNG7ngIYdAoGnXa3K0hTJ4QL6hHRg/1j99f4vKIoTEiewITkCTXu4+/hz9xb59b6PglBCSy5c8kN19k1vCsr7lnBvw/8m/iAeH6+8DMdgjvw8V0f0y6w3Q0fVwjhvJ47eo5VFy+xuGNrfPQ6LpZUDgHxddNj1De+4Wq3aX+tgz8iPdwZFRnE1LgIdIp974eVpk4I4dBa+LVgZt+ZWpchhGgmllyovCHr/j3Hrba/1b4FD0TW7yat2szrEMs/TqYxKiKIZL/KMXS/5hfxn/QcJsWFk11azrtnM/FQdDwdZ9+JiKWpExZmk6nWx6LxVFVFreW8KkYjip1/s3Nkl0svV7tdURQMOoPVxMZC1EbyzT4cIePSb+vSpMf/T1oOM9pGcV9YoGXboBB/2vt4svR8NiuS2xLtaWDemQxp6oR2jvW7WesSnJqqqpx5aDSmX3+tcR9j1660XPaxNHa/6/tp31rPRbhXOPe1vY/xSePRKTLtpqiZ5FvTc5WM25lfyNyEFlW2d/LxYld+5Q1oPf29OV9cau/SpKlzdYrRiLFrV0y7d9e4j7FrVxSjbeb3cWWqyVRr2AGYdu9GNZlQvLS9Ld5RzL55Nm/vfpv72t5Hp5DKqVL2Z+1n9YnV/KXzX7hUfInFBxdj0Bl4vPPjGlcrHI3km325SsZFeRj4JC2bF9tEWW3/JC2bKI/Ku2wvlVXg72b/FkuaOhenKAotl32s+eVyVxO/ZTO6a/4hMZtMciWhGquPr2Zqj6kMiRti2da/RX/iA+NZcWQFHwz+gEjvSN7f9740daIKyTftOHPGzWgbxeMHTrM+O58uv4+p21tQxPGiEv51UxwAewqKuC8swO61SVPnwGoa82HrEFIUpVn/1tQc6YxGdHLO67Qncw/T+0yvsr1DUAf2Zu4FIDksmfTCdHuXJhpJ8s25OXPGDQ7xZ1Ov9iy9kM3JohIAbg/yY1HHYGJ/nz7lkegQTWpz6KYua+H7FHz/PaUnT6J4emJMTiZsyhQ8Wrey7HPm4TEU7dhh9bqAUaOInDXTztXaXk2/1TjDmARRs9oGcLvaVYUI7whWHlvJM92esdq+8thKIrwjAMgrycPPUPu8VY7KlTNO8s11OUPGtTR6VPn41RE4dFNXtGMHgQ89hLFTR9SKCi7+z/+Q+tg42qxZY/UbQMDIkYT+9erajc15fER9xoA4w5gEUbPaPqJI2L3Lpf6/T+k2hSkbp7D5/GY6hnQE4GDWQU7lneLN/m8CcCDrAINbDdayzBvmahkn+SbAOTIur6ycT9JyOFZUDECCtycPRgbj56bXtC6HbupiP/iX1eOolBSO9e1H8cGDePXoYdmuGD1xCw29/uXNUm1jQJxpTIKwVp9/7FzRbbG3sXroaj4/+jln8s8AcHP0zcy7fR7RPpVLBY1qP0rLEhvF1TJO8s11OVPG7ckv4sG9J/DU60j+fa3XhWczmXcmg+VJbeis4fqvDt3UXc9cUACAzt96MfD8r9eQv/pr3EJD8Ol/GyFPjrcaoHm9kpISSkpKLI8Lfj+uo5AxIK6nPgO6ofleoWmMGN+YKh+/OitbZJzkm3BEzpRxM46fZ1CIP28ktMBNV/lRcblZZfKRVF46dp4vu8ZrVluzaepUs5mMOSkYu3bFs93V5YH87r4b96go3MLCKDl6hIv/fIPS06eIeeedGo+VkpLCrFmz7FE2IJNeivqRf+yql1+az6pjqziZdxKANv5tGBY/DF+Dr8aV2ZatMk7yTTgqZ8m4vQVF/POahg7ATafwVGw4Q3Ye0bCyZtTUpb/8MiXHjtHyk2VW2wNH/dHyvWdCO9xCQ0l95M+UpqZiiI2t9ljTpk1j8uTJlsfnz58nMTGxaQpHJr10ZE0x+3lNx5R/7BruYNZBnvjhCTz0HpZ56j469BH/2v8vFt6xkMTgpvt7a2+2yjjJN3GFPfMNXCfjfPR6zpeUEu/tabX9QnEp3noZU1en9Jdf4fKGjbT8eCnuERG17mvs3BmA0jM1N3UeHh54eHhYHufn59uu2N/JpJeOrylmP6/PMUX9zd0xl/4x/ZnZdyZuusq4KjeXM+PnGby2/TWW3LlE4wptw5YZJ/kmQPKtKd0XFsDkw2d5qU0UPfy9AdiRV8jLJy4wLDxA09ocuqlTVZWMV2ZT8MMPtPxoCYaYmDpfU3z4MABuYbYZVKwYjSTs3mX5vt6va+JJL+01x5Mza4rZz+tzTPnHrv4OZh9kRt8ZloYOwE3nxqMdH+WBNQ9oWJltaJ1xkm/OS6t8A+fPuBlto1AU+OtvqZSrKgDuOoWxUSG80CZS09ocuqlLf/ll8td8Q8yC+ei8vSnPzARA5+uLztOT0tRU8taswefWP6APCKDk6BEyUv6BV/fueCYk2KSGxowBaMrxAzLHk201xezn1x/zCvmHqf683b1Jv5xOa//WVtvTC9Pxcm/+Y3O0zjjJN9dgz3wD5864ClVlV34RU+MieL51FGdMlTcltTR64KXXfv1ph27qcj9dDkDqmLFW2yPnzCHg/mEo7u4U/byVS0s+wmwy4RYZge+gOwgZP16LcpuczPF0Y+ozxq2hs583xTFFVUPihvDSzy8xtftUuoR1AeDXi7/yxs43uKvVXdoWZwOScVdJvt0YyTf70isKD+w9wU8929PS6EYHH8e6IunQTV2Hw7/V+rx7ZCQtP15qp2q0J3M8NVxTjAGRcSX2M7X7VBRF4fnNz1OhVgDgprjxx4Q/OsU0J5JxV0m+NZzkmzYSvD1JNZXS0uhR98525tBNnajKWW4Jt5emGOMm4+bso8Jcwd7MvYxPGs/TXZ/mbMFZAFr4tsDoJufWGUm+NYzkmzaeaxXJrBMX+Ls5giRfryofu/pquKqENHXCITXFQOkbHeNW2zxcMm6u6eh1ep74/gm+GvoVMb4xtAtsV/eLhGgGJN+at9H7KufMHLv/FNeeBRVQgAu3ddGgqkrS1AmH1BQDpW90DEhtH/u46rgSe2kb2JZzl88R41v3XaFCNBeSb83bF13aal1CjaSpEw7DkQZKyzxcjmFi8kTe2PkGE7pMIDE4scrHrj4GH40qE6JhJN+cR99Ax80daeqcUHNdtseRBko39Txcon6e/OFJACaun2h1rlVVRVEU9o7Zq1VpQiOSb01bi2UfyTcrhy7X/89ZooZ3xEpT54Sa811ijjRQ2pFqcVX/HvxvrUsQDkbyzTYcqZbmYMCOIyhcHTdXGxlTJxpNLqcLZ9QjoofWJQgHIPkmbsSH5zL5f2cvkllaTqK3kVfbRdPVz/uGjrW9z9X1kw8UFDHrxAWebBFG99+XCduZV8h7ZzOZLitKCFtwpcvpsoSQczuSc6Te+yYE2WblGOHYJN+c5+ezly8zLjHz+AVeS4ihq583/zqbyYN7T7K5V3tCDe4NPl4LT4Pl+8cPnGZ2fAwDg/0s2xJ9jER5Gph7Mo07QwNs8SPcEGnqnIirXE6XJYSc28ivR6IoimXcXG1kTJ3rkHyTfGuIhWczGR0VzIORwQDMTYjhh+x8lqflMLFleKOOfbjQROw1Td4VsZ4GjhYVN+rYjSVNnWgW6nvnWEVOTpU1DkXzsnb4Wsv3v+X8xhs73+CRmx4hKTQJgL2Ze/no0EdOsaKE1lRVpchs1roMYTBAz16Y9uypcRfTgYMEZWWh87wm34pNmAyVqxoUVZhRKiqautIm56XTNbpxLTWb2Xe5iL+2DLNs0ykKtwT5sDO/sLElEu/lydtnMnizfQsMOp3lPd8+k0G8l2ejj98Y0tSJZqG+d44150HUolKUT5Tl+ykbpvBcz+e4NeZWy7aEoAQivCOY/+t8BsQO0KJEp1FkNtPmp/1alyEA/jyp7n0OnK+6bd7iyv/uPG7LajRz4tZOeOtrXpGhoKCA/Px8y2MPDw88PKyX68opq6BCpcrHrKHu7hwvLGl0ja8lxDBm3ymSfz5Eok9lE3focjEK8FHnVo0+fmNIUyeajZo+fpFB1M7rWO4xYnyqTjwc4xPDybyTGlQkhNBSYmKi1eMZM2Ywc+ZMu9bQ1c+bbX06sDLjkqVJvC8skGHhAbU2pPYgTZ1o9lxpELWrae3fmg/2f8CsvrNw11f+1l1WUcYH+z+gtX9rjatr/rx0Ok7c2knrMkRdVBXVVPNYLcXoCU6Sb146Xa3PHzp0iOjoaMvj66/SAQS569ErkFlaZrU9s6yMMI/Gtz2FFRV46/U8HBXS6GPZmjR1wim4yiBqVzO993QmrJ/AwBUDiQ+MB+DYpWMAzL99vpalOQVFUTS/siDqyddxVzGwJ19fX/z8/Grdx6DT0dnHi02XLlvuRDWrKpsvXebR6MY3Yp22HOTe0AAejAyiV4Bj/X+Rpk4IF/bp4U9ZfGAxWaYsEoISmNZzGp1CHefKTafQTnx3/3d8c+obTuWdAmBI3BDuanUXXu7SxAshqvdEi1CePpxKkq8XyX5e/OtcJkUVZh6IDGr0sRd0iOWz9BxG7DlBC08DD0YGMTIiiAiPhk+VYmvS1AnhotaeWsvrO15neu/pdA7tzNJDS3nihyf4eujXBBuDtS4PgKKyIrzcvRjZbqTWpQghmpGh4YFkl5Uz91QamaXl3ORj5NPOrW9ojrrr3RkawJ2hAWSVlrMiPYfP0nN47VQa/YP8eDAyiMHB/rjptPk4XJo6IVzUR4c+Ynj8cIbFDwPgpT4vsencJlYdX8VjnR7TuLpK/f/Tn8FxgxnWdhhdw7tqXY4QohkZFxPKuJjQJjt+iMGN/44N479jw/jgXCavnLjAuux8gtzdGBMVzMSW4Xjpax8jaGvS1NVBVVVM5TLXmXAMRjfb3PBRVlHGoexDjOs0zrJNp+joHdWbvZmOM6Fvyi0pfHX8K8b93ziifaIZ2nYo97a5lzCvsLpfLIQQTSiztIzP0iqv1J0rLuPu38fZpZWUMT/1Irvzi/isSxu71iRNHWD+ffLNtLS0Ks8Vlxdz79p77V2SENVaPWQ1nm5VJ7e88mc3Ly/PahBxdXM4AVwquUSFWkGwp/XHrMGewZaxa45gQOwABsQOIKc4h69PfM1XJ75iwa8L6Bvdl2Fth9G/RX/cdBJjtakt34RoLq78+TU7wGTZ32Tmsjwthw05BbTz9uCR6BBGhAfi7341i3r4e3PLtsN2r03SEMjIyACgZ8+eGlciRO3iia/1+Y4dO1o91mIOp6YQ5BnE2JvGMvamsSz7bRlv7nyTTec2EegZyMh2IxnXaRxGN5mHsDqSb8KZZGRkEBsbq2kNk35LZWh4IKu7xpPsV/0NW+EGd55u5HJkN0KaOiA5OZn169dz++23c+jQIXx9fbUuyWEUFBSQmJgo5+U6jnZezGYzqampJCYm4uZ29a91dVfpAAI9AtErerKLs622ZxdnO8xNEtfKMmWx+sRqvjr+FWmFadwRdwf3t72fjKIMPjzwIfsy9/H+oPe1LtMhSb7VzNH+HjsKRzwvZrOZjIwMkpOTtS6Fvf061jlWzqjXMbVVhJ0qukqaOsDNzY1u3boBEB0dXeccOK7kynIscl6sOeJ5achvr+56dxKDE9mWts2y1JZZNfNL2i882P7BpiqxwX448wNfHv+SLRe20Ma/DaMSRnF3m7vxM1w9511Cu3DvVzJEoiaSbzVzxL/HjsBRz4vWV+gKyiuq/f56vm7azf0oTZ0QLmpM4hhe2PwCNwXfRKeQTiz9bSmmchND2w7VujSL6VumM6TVEJbeuZSOIR2r3SfUK5S/dPqLnSsTQriadpv2U9ttaiqgABdu62KfgqohTZ0QLmpIqyHkFOewYM8CskxZtA9qz3sD3yPE6DhL36z/4/o6x8p5unkyvst4O1UkhHBVX3Rpa/leReVP+07yRvtYImww952tSFP3Ow8PD2bMmFHjGCRXJeeles5yXh7q8BAPdXhI6zKquFx6udrvr+djcKwlehyVs/x5tTU5L9WT81K9voHWeaNTFLr5edHS6DjnSVFVVdW6CCGEuFbnJZ1rnY9PVVUURWHvGMeZU08I4Vra/LSP9T0SHKqpkyt1QgiH8+/B/7Z6/OQPTzKz70yZdFgIIWohTZ0QwuH0iOhh9Vin6Ogc2pkWvi00qkgIIRyfNHVCCCGEEHV4dL/1ajslZjPPHjlXZc66Dzu1smdZVqSpE0IIIYSow/Xzzw0PD9KokprVPiWyi1iwYAFxcXF4enrSq1cvtm/frnVJdvfTTz9xzz33EBUVhaIofPnll1bPq6rKSy+9RGRkJEajkYEDB3Ls2DFtirWTlJQUevToga+vL2FhYQwdOpQjR45Y7VNcXMxTTz1FcHAwPj4+DB8+3LIsk7AtpdYZokRtXD3jJN+qJxnXMPM6xNbrS0su39R99tlnTJ48mRkzZrB7926SkpIYPHgwFy9e1Lo0uyosLCQpKYkFCxZU+/zcuXN5++23ee+999i2bRve3t4MHjyY4uJiO1dqPxs3buSpp57il19+4fvvv6esrIxBgwZRWFho2eeZZ57h66+/5vPPP2fjxo1cuHCB+++/X8OqncOkHydZfZVWlPLKL69U2S7qJhkn+VYTyTjn4/JTmvTq1YsePXowf/58oHJ9uRYtWjBx4kSee+45javThqIorFq1iqFDhwKVv8VGRUUxZcoUpk6dCkBeXh7h4eEsXryYBx54QMNq7SczM5OwsDA2btzIrbfeSl5eHqGhoXzyySeMGDECgMOHD9OhQwe2bt1K7969Na64+Xpx84v12m/2zbObuJLmTzLOmuRbzSTjmj+XHlNXWlrKrl27mDZtmmWbTqdj4MCBbN26VcPKHMupU6dIT09n4MCBlm3+/v706tWLrVu3ukzo5eXlARAUVDmOYteuXZSVlVmdl/bt2xMbGyuB10jSrNmGZFzdJN+ukoxr/lz649esrCwqKioIDw+32h4eHk56erpGVTmeK+fClc+T2Wxm0qRJ9OvXj44dK9cgTU9Px2AwEBAQYLWvK50X4dgk4+om+VZJMs45uPSVOiHq66mnnuLAgQNs3rxZ61KEEMLmJOOcg0tfqQsJCUGv11e5kycjI4OIiAiNqnI8V86Fq56nCRMmsGbNGn788UdiYmIs2yMiIigtLSU3N9dqf1c5L8LxScbVzdXzDSTjnIlLN3UGg4Fu3bqxbt06yzaz2cy6devo06ePhpU5llatWhEREWF1nvLz89m2bZtTnydVVZkwYQKrVq1i/fr1tGplPaFkt27dcHd3tzovR44cITU11anPi2g+JOPq5qr5BpJxzsjlP36dPHkyY8eOpXv37vTs2ZO33nqLwsJC/vznP2tdml1dvnyZ48ePWx6fOnWKPXv2EBQURGxsLJMmTWL27NnEx8fTqlUrpk+fTlRUlOUOMmf01FNP8cknn/DVV1/h6+trGUPi7++P0WjE39+fcePGMXnyZIKCgvDz82PixIn06dNHBhALhyEZJ/lWE8k4J6QK9Z133lFjY2NVg8Gg9uzZU/3ll1+0LsnufvzxRxWo8jV27FhVVVXVbDar06dPV8PDw1UPDw91wIAB6pEjR7QtuolVdz4AddGiRZZ9TCaT+uSTT6qBgYGql5eXOmzYMDUtLU27ooWohqtnnORb9STjnI/Lz1MnhBBCCOEMXHpMnRBCCCGEs5CmTgghhBDCCUhTJ4QQQgjhBKSpE0IIIYRwAtLUCSGEEEI4AWnqhBBCCCGcgDR1QgghhBBOQJo6IYQQQggnIE2dAGDDhg0oilJl4WZ7WbduHR06dKCiogKAmTNn0qVLlwYfp7S0lLi4OHbu3GnjCoUQzZXkm3AV0tS5oP79+zNp0iSrbX379iUtLQ1/f39Navr73//Oiy++iF6vb9RxDAYDU6dO5dlnn7VRZUKI5kTyTbgyaeoEUBkWERERKIpi9/fevHkzJ06cYPjw4Y06TmlpKQCjR49m8+bNHDx40BblCSGaOck34SqkqXMxjzzyCBs3bmTevHkoioKiKJw+fbrKxxOLFy8mICCANWvWkJCQgJeXFyNGjKCoqIglS5YQFxdHYGAgf/3rXy0fKQCUlJQwdepUoqOj8fb2plevXmzYsKHWmpYvX84dd9yBp6dnleeWLl1KXFwc/v7+PPDAAxQUFFie69+/PxMmTGDSpEmEhIQwePBgAAIDA+nXrx/Lly9v/AkTQjQbkm/C1UlT52LmzZtHnz59ePzxx0lLSyMtLY0WLVpUu29RURFvv/02y5cvZ+3atWzYsIFhw4bx7bff8u2337J06VIWLlzIihUrLK+ZMGECW7duZfny5ezbt4+RI0cyZMgQjh07VmNNmzZtonv37lW2nzhxgi+//JI1a9awZs0aNm7cyD/+8Q+rfZYsWYLBYGDLli289957lu09e/Zk06ZNDT09QohmTPJNuDo3rQsQ9uXv74/BYMDLy4uIiIha9y0rK+Pdd9+lTZs2AIwYMYKlS5eSkZGBj48PiYmJ3Hbbbfz444+MGjWK1NRUFi1aRGpqKlFRUQBMnTqVtWvXsmjRIubMmVPt+5w5c8ay/7XMZjOLFy/G19cXgIcffph169bx6quvWvaJj49n7ty5VV4bFRXFmTNn6ndShBBOQfJNuDpp6kSNvLy8LIEHEB4eTlxcHD4+PlbbLl68CMD+/fupqKigXbt2VscpKSkhODi4xvcxmUzVfjQRFxdnCTyAyMhIy3td0a1bt2qPaTQaKSoqquWnE0K4Msk34YykqRM1cnd3t3qsKEq128xmMwCXL19Gr9eza9euKnd5XRuU1wsJCeHSpUv1ev8r73WFt7d3tcfMyckhNDS0xvcUQrg2yTfhjKSpc0EGg8Fq8K+tJCcnU1FRwcWLF7nlllsa9LpDhw7ZtJYDBw6QnJxs02MKIRyf5JtwZXKjhAuKi4tj27ZtnD59mqysrCq/Hd6odu3aMXr0aMaMGcPKlSs5deoU27dvJyUlhW+++abG1w0ePJjNmzfbpIYrNm3axKBBg2x6TCGE45N8E65MmjoXNHXqVPR6PYmJiYSGhpKammqzYy9atIgxY8YwZcoUEhISGDp0KDt27CA2NrbG14wePZqDBw9y5MgRm9SwdetW8vLyGDFihE2OJ4RoPiTfhCtTVFVVtS5CiL/97W/k5+ezcOHCRh9r1KhRJCUl8fzzz9ugMiGEaBzJN2EvcqVOOIQXXniBli1bNvqjktLSUjp16sQzzzxjo8qEEKJxJN+EvciVOiGEEEIIJyBX6oQQQgghnIA0dUIIIYQQTkCaOiGEEEIIJyBNnRBCCCGEE5CmTgghhBDCCUhTJ4QQQgjhBKSpE0IIIYRwAtLUCSGEEEI4AWnqhBBCCCGcwP8HA9NLBq75S2IAAAAASUVORK5CYII=", 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", 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    " ] @@ -2352,7 +31520,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 21, "id": "brilliant-prairie", "metadata": {}, "outputs": [], @@ -2378,7 +31546,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 22, "id": "previous-sending", "metadata": {}, "outputs": [ @@ -2386,64 +31554,64 @@ "name": "stdout", "output_type": "stream", "text": [ - "(3037993.60 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", - "(3037993.60 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", - "(3037993.62 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", - "(3037993.64 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", - "(3037993.65 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", - "(3037993.68 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", - "(3037993.70 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", - "(3037993.73 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", - "(3037993.74 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", - "(3037993.77 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", - "(3037993.79 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", - "(3037993.81 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", - "(3037993.82 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", - "(3037993.84 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", - "(3037993.86 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", - "(3037993.87 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", - "(3037993.90 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", - "(3037993.91 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", - "(3037993.94 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", - "(3037993.95 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", - "(3037993.97 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", - "(3037993.97 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", - "(3037993.99 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", - "(3037994.01 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", - "(3037994.02 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", - "(3037994.04 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", - "(3037994.05 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", - "(3037994.06 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", - "(3037994.08 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n", - "(3037994.10 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", - "(3037994.10 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", - "(3037994.11 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", - "(3037994.12 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", - "(3037994.14 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", - "(3037994.16 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", - "(3037994.17 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", - "(3037994.19 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", - "(3037994.21 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", - "(3037994.21 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", - "(3037994.23 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", - "(3037994.25 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", - "(3037994.26 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", - "(3037994.28 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", - "(3037994.30 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", - "(3037994.32 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", - "(3037994.33 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", - "(3037994.34 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", - "(3037994.36 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", - "(3037994.38 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", - "(3037994.41 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", - "(3037994.42 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", - "(3037994.44 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", - "(3037994.46 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", - "(3037994.47 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", - "(3037994.48 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", - "(3037994.50 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", - "(3037994.51 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", - "(3037994.52 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n" + "( 389.96 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", + "( 389.96 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", + "( 389.98 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", + "( 390.00 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", + "( 390.01 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", + "( 390.02 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", + "( 390.04 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", + "( 390.05 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", + "( 390.06 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", + "( 390.08 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", + "( 390.09 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", + "( 390.11 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", + "( 390.11 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", + "( 390.13 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", + "( 390.15 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", + "( 390.16 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", + "( 390.18 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", + "( 390.20 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", + "( 390.21 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", + "( 390.23 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", + "( 390.25 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", + "( 390.26 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", + "( 390.27 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", + "( 390.29 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", + "( 390.30 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", + "( 390.31 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", + "( 390.32 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", + "( 390.34 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", + "( 390.36 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n", + "( 390.36 sec) Interp. Cluster ROM : DEBUG -> Evaluating interpolated ROM ...\n", + "( 390.36 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2018\" (1 / 28)\n", + "( 390.38 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2019\" (2 / 28)\n", + "( 390.39 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2020\" (3 / 28)\n", + "( 390.41 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2021\" (4 / 28)\n", + "( 390.42 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2022\" (5 / 28)\n", + "( 390.43 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2023\" (6 / 28)\n", + "( 390.45 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2024\" (7 / 28)\n", + "( 390.47 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2025\" (8 / 28)\n", + "( 390.47 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2026\" (9 / 28)\n", + "( 390.49 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2027\" (10 / 28)\n", + "( 390.51 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2028\" (11 / 28)\n", + "( 390.51 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2029\" (12 / 28)\n", + "( 390.53 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2030\" (13 / 28)\n", + "( 390.55 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2031\" (14 / 28)\n", + "( 390.56 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2032\" (15 / 28)\n", + "( 390.57 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2033\" (16 / 28)\n", + "( 390.59 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2034\" (17 / 28)\n", + "( 390.60 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2035\" (18 / 28)\n", + "( 390.61 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2036\" (19 / 28)\n", + "( 390.62 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2037\" (20 / 28)\n", + "( 390.64 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2038\" (21 / 28)\n", + "( 390.65 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2039\" (22 / 28)\n", + "( 390.67 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2040\" (23 / 28)\n", + "( 390.68 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2041\" (24 / 28)\n", + "( 390.69 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2042\" (25 / 28)\n", + "( 390.71 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2043\" (26 / 28)\n", + "( 390.71 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2044\" (27 / 28)\n", + "( 390.73 sec) Interp. Cluster ROM : DEBUG -> ... evaluating macro step \"2045\" (28 / 28)\n" ] } ], @@ -2496,7 +31664,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 23, "id": "15f86638", "metadata": {}, "outputs": [ @@ -2505,11 +31673,11 @@ "output_type": "stream", "text": [ "[+ 0.00] Beginning the formulation of the multiperiod optimization problem.\n", - "[+ 395.96] Completed the formulation of the multiperiod optimization problem.\n", - "2023-03-10 17:42:54 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", - "[+ 7.00] Created an instance of the flowsheet and initialized it.\n", - "[+ 30.23] Initialized the entire multiperiod optimization model.\n", - "[+ 0.88] Unfixed the degrees of freedom from each period model.\n" + "[+ 309.26] Completed the formulation of the multiperiod optimization problem.\n", + "2023-03-15 21:35:43 [INFO] idaes.init.fs.pem.outlet_state: Property package initialization: optimal - Optimal Solution Found.\n", + "[+ 5.48] Created an instance of the flowsheet and initialized it.\n", + "[+ 24.09] Initialized the entire multiperiod optimization model.\n", + "[+ 0.67] Unfixed the degrees of freedom from each period model.\n" ] } ], @@ -2544,7 +31712,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 24, "id": "lightweight-prediction", "metadata": {}, "outputs": [], @@ -2572,7 +31740,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 25, "id": "6f4290ba", "metadata": {}, "outputs": [], @@ -2596,7 +31764,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 26, "id": "elder-victoria", "metadata": {}, "outputs": [ @@ -4252,7 +33420,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 27, "id": "suburban-radar", "metadata": {}, "outputs": [], @@ -4280,7 +33448,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 28, "id": "liberal-riverside", "metadata": {}, "outputs": [ @@ -4327,102 +33495,100 @@ " inequality constraints with only upper bounds: 7680\n", "\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 0 -2.3999176e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", - " 1 -2.9322656e+09 1.92e+05 2.04e+04 -1.0 2.80e+06 - 1.29e-03 8.90e-01f 1\n", - " 2 -2.9820927e+09 7.84e+03 1.20e+04 -1.0 5.02e+05 - 1.24e-03 9.90e-01f 1\n", - " 3 -2.9832326e+09 2.31e+02 5.66e+02 -1.0 1.01e+04 - 3.46e-01 9.71e-01f 1\n", - " 4 -2.9839263e+09 1.28e+02 4.07e+02 -1.0 5.09e+02 - 6.59e-02 4.41e-01f 1\n", - " 5 -2.9843148e+09 1.15e+02 1.46e+03 -1.0 1.17e+03 - 2.15e-01 2.43e-01f 1\n", - " 6 -2.9862524e+09 9.57e-01 2.28e+03 -1.0 6.28e+02 - 1.67e-01 1.00e+00f 1\n", - " 7 -2.9882392e+09 2.30e-01 2.17e+03 -1.0 6.45e+02 - 4.97e-01 1.00e+00f 1\n", - " 8 -2.9911854e+09 7.91e-02 6.87e+02 -1.0 1.27e+03 - 1.08e-02 1.00e+00f 1\n", - " 9 -2.9929795e+09 1.52e-03 6.12e+02 -1.0 3.03e+03 - 6.11e-02 8.04e-01f 1\n", + " 0 -2.3913672e+09 1.75e+06 1.00e+02 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0\n", + " 1 -2.9218309e+09 1.92e+05 2.04e+04 -1.0 2.80e+06 - 1.28e-03 8.90e-01f 1\n", + " 2 -2.9713115e+09 7.84e+03 1.21e+04 -1.0 5.02e+05 - 1.24e-03 9.90e-01f 1\n", + " 3 -2.9722962e+09 2.31e+02 5.67e+02 -1.0 1.01e+04 - 3.43e-01 9.71e-01f 1\n", + " 4 -2.9728971e+09 1.28e+02 4.07e+02 -1.0 4.43e+02 - 6.75e-02 4.40e-01f 1\n", + " 5 -2.9732409e+09 1.14e+02 1.47e+03 -1.0 1.16e+03 - 2.17e-01 2.46e-01f 1\n", + " 6 -2.9749522e+09 9.52e-01 2.29e+03 -1.0 5.58e+02 - 1.66e-01 1.00e+00f 1\n", + " 7 -2.9767448e+09 2.28e-01 2.17e+03 -1.0 5.90e+02 - 2.67e-01 1.00e+00f 1\n", + " 8 -2.9788417e+09 4.26e-02 1.17e+03 -1.0 2.46e+03 - 5.75e-03 1.00e+00f 1\n", + " 9 -2.9801040e+09 8.74e-03 8.24e+02 -1.0 3.20e+03 - 2.82e-01 7.12e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 10 -2.9944808e+09 2.71e-05 2.56e+03 -1.0 1.58e+03 - 1.35e-01 8.16e-01f 1\n", - " 11 -2.9958140e+09 5.35e-07 2.09e+04 -1.0 1.28e+03 - 1.83e-01 8.41e-01f 1\n", - " 12 -2.9969968e+09 4.04e-08 1.98e+04 -1.0 1.11e+03 - 1.98e-01 8.70e-01f 1\n", - " 13 -2.9979719e+09 5.98e-09 1.69e+04 -1.0 7.38e+02 - 2.51e-01 8.95e-01f 1\n", - " 14 -2.9987075e+09 8.12e-10 1.29e+04 -1.0 6.33e+02 - 3.07e-01 8.98e-01f 1\n", - " 15 -2.9991734e+09 1.43e-10 7.03e+03 -1.0 9.01e+02 - 4.05e-01 8.30e-01f 1\n", - " 16 -2.9995077e+09 1.16e-10 6.29e+03 -1.0 1.46e+03 - 3.45e-01 9.11e-01f 1\n", - " 17 -2.9996177e+09 1.16e-10 3.97e+03 -1.0 2.05e+03 - 3.62e-01 7.16e-01f 1\n", - " 18 -2.9996650e+09 1.16e-10 2.33e+03 -1.0 2.84e+03 - 3.93e-01 6.83e-01f 1\n", - " 19 -2.9996732e+09 1.16e-10 1.34e+03 -1.0 3.73e+03 - 4.36e-01 4.67e-01f 1\n", + " 10 -2.9816368e+09 6.37e-04 4.41e+03 -1.0 1.84e+03 - 2.70e-02 7.89e-01f 1\n", + " 11 -2.9829603e+09 4.55e-05 3.06e+04 -1.0 2.05e+03 - 1.49e-01 7.99e-01f 1\n", + " 12 -2.9842183e+09 1.08e-06 1.84e+04 -1.0 6.68e+02 - 2.90e-01 8.28e-01f 1\n", + " 13 -2.9856235e+09 1.53e-07 2.46e+04 -1.0 1.66e+03 - 8.48e-02 9.09e-01f 1\n", + " 14 -2.9866759e+09 1.73e-08 1.89e+04 -1.0 8.49e+02 - 2.75e-01 9.05e-01f 1\n", + " 15 -2.9875788e+09 3.09e-09 1.29e+04 -1.0 6.55e+02 - 2.64e-01 9.20e-01f 1\n", + " 16 -2.9882552e+09 7.67e-10 8.71e+03 -1.0 7.60e+02 - 3.60e-01 9.41e-01f 1\n", + " 17 -2.9886893e+09 2.36e-10 5.93e+03 -1.0 1.16e+03 - 5.10e-01 9.25e-01f 1\n", + " 18 -2.9888930e+09 1.16e-10 3.42e+03 -1.0 2.24e+03 - 4.49e-01 7.98e-01f 1\n", + " 19 -2.9889604e+09 1.16e-10 2.55e+03 -1.0 3.58e+03 - 3.65e-01 6.49e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 20 -2.9996702e+09 2.33e-10 9.13e+02 -1.0 4.57e+03 - 5.05e-01 3.52e-01f 1\n", - " 21 -2.9996667e+09 2.33e-10 7.93e+02 -1.0 4.95e+03 - 1.30e-01 1.31e-01f 1\n", - " 22 -2.9996590e+09 2.33e-10 6.77e+02 -1.0 4.68e+03 - 3.58e-01 2.76e-01f 1\n", - " 23 -2.9996459e+09 2.33e-10 2.68e+03 -1.0 4.25e+03 - 2.96e-01 4.43e-01f 1\n", - " 24 -2.9996382e+09 2.33e-10 9.76e+03 -1.0 3.65e+03 - 1.82e-01 3.26e-01f 1\n", - " 25 -2.9996233e+09 1.16e-10 1.57e+04 -1.0 7.87e+03 - 2.09e-01 8.65e-01f 1\n", - " 26 -2.9996209e+09 1.16e-10 8.11e+03 -1.0 6.93e+03 - 3.10e-01 5.27e-01f 1\n", - " 27 -2.9996168e+09 1.16e-10 7.26e+03 -1.0 5.62e+03 - 3.91e-01 9.72e-01f 1\n", - " 28 -2.9996111e+09 1.16e-10 4.65e+03 -1.0 4.91e+03 - 4.07e-01 1.00e+00f 1\n", - " 29 -2.9996080e+09 1.16e-10 2.22e+03 -1.0 3.02e+03 - 5.32e-01 1.00e+00f 1\n", + " 20 -2.9889803e+09 1.16e-10 2.21e+03 -1.0 4.62e+03 - 4.49e-01 5.96e-01f 1\n", + " 21 -2.9889768e+09 2.33e-10 1.08e+03 -1.0 5.63e+03 - 4.80e-01 3.51e-01f 1\n", + " 22 -2.9889741e+09 2.33e-10 1.59e+03 -1.0 5.98e+03 - 1.81e-01 8.25e-02f 1\n", + " 23 -2.9889634e+09 2.33e-10 2.79e+03 -1.0 5.98e+03 - 1.11e-01 3.03e-01f 1\n", + " 24 -2.9889559e+09 2.33e-10 2.01e+03 -1.0 4.81e+03 - 2.54e-01 2.24e-01f 1\n", + " 25 -2.9889438e+09 2.33e-10 1.46e+04 -1.0 5.47e+03 - 1.03e-01 3.75e-01f 1\n", + " 26 -2.9889387e+09 2.33e-10 1.33e+04 -1.0 5.14e+03 - 1.76e-01 1.99e-01f 1\n", + " 27 -2.9889270e+09 2.33e-10 1.21e+04 -1.0 8.47e+03 - 2.54e-01 5.55e-01f 1\n", + " 28 -2.9889213e+09 1.16e-10 1.24e+04 -1.0 1.26e+04 - 2.69e-01 4.84e-01f 1\n", + " 29 -2.9889115e+09 1.16e-10 2.14e+04 -1.0 8.64e+03 - 1.73e-01 9.57e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 30 -2.9996047e+09 1.16e-10 3.89e+02 -1.0 3.51e+03 - 7.75e-01 1.00e+00f 1\n", - " 31 -2.9996013e+09 1.16e-10 2.76e+01 -1.0 5.50e+03 - 9.90e-01 1.00e+00f 1\n", - " 32 -2.9995998e+09 1.16e-10 8.77e+00 -1.0 3.41e+03 - 9.96e-01 1.00e+00f 1\n", - " 33 -2.9995997e+09 1.16e-10 1.39e+00 -1.0 1.21e+03 - 1.00e+00 1.00e+00f 1\n", - " 34 -2.9995997e+09 1.16e-10 2.15e-02 -1.0 1.69e+02 - 1.00e+00 1.00e+00f 1\n", - " 35 -2.9997732e+09 1.16e-10 1.86e+02 -2.5 3.73e+04 - 1.00e+00 9.07e-01f 1\n", - " 36 -2.9997868e+09 1.16e-10 5.98e+03 -2.5 4.17e+03 - 1.00e+00 7.57e-01f 1\n", - " 37 -2.9997909e+09 1.16e-10 2.66e+00 -2.5 1.00e+03 - 1.00e+00 1.00e+00f 1\n", - " 38 -2.9997908e+09 1.16e-10 8.12e-01 -2.5 4.54e+01 - 1.00e+00 1.00e+00f 1\n", - " 39 -2.9997908e+09 1.16e-10 3.97e-02 -2.5 1.03e+01 - 1.00e+00 1.00e+00f 1\n", + " 30 -2.9889060e+09 1.16e-10 1.96e+04 -1.0 4.02e+03 - 4.26e-01 1.00e+00f 1\n", + " 31 -2.9889037e+09 1.16e-10 1.44e+03 -1.0 3.66e+03 - 6.11e-01 1.00e+00f 1\n", + " 32 -2.9888991e+09 1.16e-10 1.05e+03 -1.0 4.49e+03 - 6.89e-01 1.00e+00f 1\n", + " 33 -2.9888942e+09 1.16e-10 3.01e+02 -1.0 6.04e+03 - 8.48e-01 1.00e+00f 1\n", + " 34 -2.9888914e+09 1.16e-10 1.64e+01 -1.0 5.47e+03 - 9.90e-01 1.00e+00f 1\n", + " 35 -2.9888911e+09 1.16e-10 3.10e+00 -1.0 1.96e+03 - 1.00e+00 1.00e+00f 1\n", + " 36 -2.9888911e+09 1.16e-10 3.44e-02 -1.0 2.47e+02 - 1.00e+00 1.00e+00f 1\n", + " 37 -2.9890879e+09 1.16e-10 5.34e+02 -2.5 4.34e+04 - 1.00e+00 8.83e-01f 1\n", + " 38 -2.9891070e+09 1.16e-10 1.28e+04 -2.5 6.06e+03 - 1.00e+00 7.18e-01f 1\n", + " 39 -2.9891142e+09 1.16e-10 3.43e+00 -2.5 1.71e+03 - 1.00e+00 1.00e+00f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 40 -2.9997908e+09 1.16e-10 1.09e-04 -2.5 5.32e-01 - 1.00e+00 1.00e+00h 1\n", - " 41 -2.9997929e+09 1.16e-10 3.30e+03 -3.8 1.03e+03 - 1.00e+00 4.35e-01f 1\n", - " 42 -2.9997931e+09 2.33e-10 2.95e+03 -3.8 6.18e+02 - 2.07e-01 1.15e-01f 1\n", - " 43 -2.9997933e+09 2.33e-10 2.48e+03 -3.8 5.61e+02 - 1.14e-01 1.56e-01f 1\n", - " 44 -2.9997935e+09 2.33e-10 1.96e+03 -3.8 4.79e+02 - 1.25e-01 2.01e-01f 1\n", - " 45 -2.9997936e+09 3.49e-10 1.86e+03 -3.8 3.36e+02 - 2.29e-01 6.99e-02f 1\n", - " 46 -2.9997937e+09 2.33e-10 1.47e+03 -3.8 3.06e+02 - 1.27e-01 2.04e-01f 1\n", - " 47 -2.9997938e+09 3.49e-10 1.26e+03 -3.8 3.12e+02 - 6.95e-02 1.36e-01f 1\n", - " 48 -2.9997938e+09 3.49e-10 1.13e+03 -3.8 2.84e+02 - 2.50e-01 1.13e-01f 1\n", - " 49 -2.9997939e+09 3.49e-10 1.01e+03 -3.8 1.96e+02 - 1.66e-01 1.16e-01f 1\n", + " 40 -2.9891140e+09 1.16e-10 1.95e+00 -2.5 6.70e+01 - 1.00e+00 1.00e+00f 1\n", + " 41 -2.9891141e+09 1.16e-10 1.48e-01 -2.5 1.88e+01 - 1.00e+00 1.00e+00f 1\n", + " 42 -2.9891141e+09 1.16e-10 1.16e-03 -2.5 1.66e+00 - 1.00e+00 1.00e+00h 1\n", + " 43 -2.9891171e+09 2.33e-10 2.89e+03 -3.8 1.22e+03 - 1.00e+00 5.26e-01f 1\n", + " 44 -2.9891175e+09 2.33e-10 2.16e+03 -3.8 7.26e+02 - 2.41e-01 2.54e-01f 1\n", + " 45 -2.9891176e+09 2.33e-10 1.93e+03 -3.8 6.83e+02 - 1.34e-01 1.07e-01f 1\n", + " 46 -2.9891178e+09 2.33e-10 1.65e+03 -3.8 7.19e+02 - 2.57e-01 1.53e-01f 1\n", + " 47 -2.9891178e+09 2.33e-10 1.47e+03 -3.8 4.56e+02 - 9.76e-02 1.10e-01f 1\n", + " 48 -2.9891179e+09 3.49e-10 1.18e+03 -3.8 4.52e+02 - 2.31e-01 1.99e-01f 1\n", + " 49 -2.9891180e+09 2.33e-10 9.98e+02 -3.8 1.72e+02 - 1.84e-01 1.56e-01f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 50 -2.9997939e+09 3.49e-10 8.78e+02 -3.8 1.23e+02 - 1.26e-01 1.29e-01f 1\n", - " 51 -2.9997939e+09 3.49e-10 9.27e+02 -3.8 1.08e+02 - 3.06e-01 6.97e-02f 1\n", - " 52 -2.9997940e+09 3.49e-10 7.62e+02 -3.8 7.76e+01 - 4.92e-02 1.60e-01f 1\n", - " 53 -2.9997940e+09 3.49e-10 7.22e+02 -3.8 6.35e+01 - 1.54e-01 6.33e-02f 1\n", - " 54 -2.9997940e+09 3.49e-10 5.07e+02 -3.8 5.98e+01 - 2.77e-01 2.96e-01f 1\n", - " 55 -2.9997940e+09 2.33e-10 4.24e+02 -3.8 3.90e+01 - 2.63e-01 1.65e-01f 1\n", - " 56 -2.9997940e+09 3.49e-10 3.52e+02 -3.8 3.11e+01 - 2.39e-01 1.64e-01f 1\n", - " 57 -2.9997941e+09 3.49e-10 2.22e+02 -3.8 2.43e+01 - 1.74e-01 3.84e-01f 1\n", - " 58 -2.9997941e+09 2.33e-10 1.59e+02 -3.8 1.46e+01 - 1.48e-01 2.98e-01f 1\n", - " 59 -2.9997941e+09 2.33e-10 9.66e+01 -3.8 1.01e+01 - 4.81e-01 3.81e-01f 1\n", + " 50 -2.9891180e+09 3.49e-10 8.96e+02 -3.8 1.12e+02 - 1.07e-01 1.02e-01f 1\n", + " 51 -2.9891181e+09 3.49e-10 7.28e+02 -3.8 1.03e+02 - 2.26e-01 1.90e-01f 1\n", + " 52 -2.9891181e+09 3.49e-10 7.41e+02 -3.8 7.39e+01 - 3.00e-01 4.26e-02f 1\n", + " 53 -2.9891181e+09 3.49e-10 5.65e+02 -3.8 6.76e+01 - 5.45e-02 2.19e-01f 1\n", + " 54 -2.9891181e+09 3.49e-10 6.69e+02 -3.8 5.40e+01 - 3.68e-01 7.10e-02f 1\n", + " 55 -2.9891182e+09 2.33e-10 4.01e+02 -3.8 4.86e+01 - 1.40e-01 3.79e-01f 1\n", + " 56 -2.9891182e+09 2.33e-10 3.91e+02 -3.8 2.77e+01 - 2.56e-01 2.51e-02f 1\n", + " 57 -2.9891182e+09 2.33e-10 3.17e+02 -3.8 2.69e+01 - 6.63e-01 2.21e-01f 1\n", + " 58 -2.9891182e+09 2.33e-10 2.09e+02 -3.8 1.87e+01 - 9.67e-02 3.57e-01f 1\n", + " 59 -2.9891182e+09 1.16e-10 5.75e+01 -3.8 1.23e+01 - 2.85e-01 1.00e+00f 1\n", "iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls\n", - " 60 -2.9997941e+09 1.16e-10 3.65e+01 -3.8 5.97e+00 - 4.69e-01 9.25e-01f 1\n", - " 61 -2.9997941e+09 1.16e-10 4.55e-05 -3.8 4.48e-01 - 1.00e+00 1.00e+00f 1\n", - " 62 -2.9997941e+09 2.33e-10 3.64e+01 -5.7 2.31e+01 - 2.22e-01 1.42e-01f 1\n", - " 63 -2.9997941e+09 2.33e-10 6.87e+01 -5.7 1.86e+01 - 4.19e-02 2.45e-01f 1\n", - " 64 -2.9997942e+09 2.33e-10 1.53e+02 -5.7 1.36e+01 - 3.98e-01 7.03e-01f 1\n", - " 65 -2.9997942e+09 1.16e-10 2.58e+01 -5.7 2.46e+00 - 8.46e-01 8.05e-01f 1\n", - " 66 -2.9997942e+09 1.16e-10 4.41e-05 -5.7 3.20e-01 - 1.00e+00 1.00e+00f 1\n", - " 67 -2.9997942e+09 1.16e-10 2.96e-08 -5.7 6.00e-03 - 1.00e+00 1.00e+00h 1\n", - " 68 -2.9997942e+09 1.16e-10 9.89e-06 -7.0 1.86e-01 - 1.00e+00 1.00e+00f 1\n", - " 69 -2.9997942e+09 1.16e-10 3.54e-11 -7.0 5.35e-04 - 1.00e+00 1.00e+00h 1\n", + " 60 -2.9891182e+09 1.16e-10 5.76e-05 -3.8 9.05e-01 - 1.00e+00 1.00e+00f 1\n", + " 61 -2.9891182e+09 2.33e-10 2.62e+00 -5.7 2.82e+01 - 1.48e-01 1.42e-01f 1\n", + " 62 -2.9891183e+09 2.33e-10 1.26e+02 -5.7 2.34e+01 - 1.43e-01 3.87e-01f 1\n", + " 63 -2.9891183e+09 1.16e-10 1.27e+02 -5.7 1.28e+01 - 4.07e-01 7.03e-01f 1\n", + " 64 -2.9891183e+09 1.16e-10 1.33e+01 -5.7 2.17e+00 - 8.74e-01 9.80e-01f 1\n", + " 65 -2.9891183e+09 1.16e-10 5.28e-06 -5.7 2.32e-01 - 1.00e+00 1.00e+00f 1\n", + " 66 -2.9891183e+09 1.16e-10 1.19e-05 -7.0 2.24e-01 - 1.00e+00 1.00e+00f 1\n", + " 67 -2.9891183e+09 1.16e-10 3.45e-09 -7.0 6.89e-04 - 1.00e+00 1.00e+00h 1\n", "\n", - "Number of Iterations....: 69\n", + "Number of Iterations....: 67\n", "\n", " (scaled) (unscaled)\n", - "Objective...............: -1.2221938796853948e+08 -2.9997941795897131e+09\n", - "Dual infeasibility......: 3.5362247101907029e-11 8.6794300639780532e-10\n", + "Objective...............: -1.0438665013664052e+08 -2.9891183046336989e+09\n", + "Dual infeasibility......: 3.4502390686548406e-09 9.8797813149274607e-08\n", "Constraint violation....: 1.1641532182693481e-10 1.1641532182693481e-10\n", - "Complementarity.........: 9.8438283211592237e-08 2.4161026653393979e-06\n", - "Overall NLP error.......: 9.8438283211592237e-08 2.4161026653393979e-06\n", + "Complementarity.........: 9.1095560536311566e-08 2.6085271163843808e-06\n", + "Overall NLP error.......: 9.1095560536311566e-08 2.6085271163843808e-06\n", "\n", "\n", - "Number of objective function evaluations = 70\n", - "Number of objective gradient evaluations = 70\n", - "Number of equality constraint evaluations = 70\n", - "Number of inequality constraint evaluations = 70\n", - "Number of equality constraint Jacobian evaluations = 70\n", - "Number of inequality constraint Jacobian evaluations = 70\n", - "Number of Lagrangian Hessian evaluations = 69\n", - "Total CPU secs in IPOPT (w/o function evaluations) = 65.950\n", - "Total CPU secs in NLP function evaluations = 36.593\n", + "Number of objective function evaluations = 68\n", + "Number of objective gradient evaluations = 68\n", + "Number of equality constraint evaluations = 68\n", + "Number of inequality constraint evaluations = 68\n", + "Number of equality constraint Jacobian evaluations = 68\n", + "Number of inequality constraint Jacobian evaluations = 68\n", + "Number of Lagrangian Hessian evaluations = 67\n", + "Total CPU secs in IPOPT (w/o function evaluations) = 54.251\n", + "Total CPU secs in NLP function evaluations = 27.186\n", "\n", "EXIT: Optimal Solution Found.\n" ] @@ -4430,10 +33596,10 @@ { "data": { "text/plain": [ - "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 424246, 'Number of variables': 422329, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 110.95537257194519}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" + "{'Problem': [{'Lower bound': -inf, 'Upper bound': inf, 'Number of objectives': 1, 'Number of constraints': 424246, 'Number of variables': 422329, 'Sense': 'unknown'}], 'Solver': [{'Status': 'ok', 'Message': 'Ipopt 3.13.2\\\\x3a Optimal Solution Found', 'Termination condition': 'optimal', 'Id': 0, 'Error rc': 0, 'Time': 87.91742634773254}], 'Solution': [OrderedDict([('number of solutions', 0), ('number of solutions displayed', 0)])]}" ] }, - "execution_count": 26, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -4455,7 +33621,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 29, "id": "civil-celebration", "metadata": {}, "outputs": [ @@ -4463,9 +33629,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "Optimal PEM capacity : 0.0007913315424667681 MW\n", - "Optimal tank capacity : 5.053569403508419e-06 kg\n", - "Optimal turbine capacity: 9.076112854379217e-05 MW\n" + "Optimal PEM capacity : 0.0007913341090725008 MW\n", + "Optimal tank capacity : 5.774952800374157e-06 kg\n", + "Optimal turbine capacity: 9.076202218107123e-05 MW\n" ] } ], @@ -4478,13 +33644,13 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 30, "id": "protecting-asthma", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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i9MDEkscm1G3CjgFmIA510eGhlN86zEGS1Akh6tyNl0Qz5b87OH42j7hoPwC2Hc/gw5WHuPGSaNd2TgghXOGSkocTSVInhKhzz17diWBvI/NWHSYluwCAEG8j913amnsHt3Zx74QQommQpE6IZuzztUf5aOVhUnMK6BTuw/RRneleMpJWVpHFygd/HeK/W05yJiuf1kGe/OdfHRnSIaTa82i1Gh64rA0PXNaG7PwiAJn1KoQQTiYTJYRopn7cfpqZP+3hsWHt+PnRQcSGezNuwXrScgoqrP/6b/v4asMxpo/qzB+TLmNsvxjuX7iZXacyK6xfmfPLnAghhHAul4/UFSUnk/L6G+T+/TfW/HwMLVoQ/vLLmLp2AUBRFNLefZdzS5ZgzcrG1LMH4dOmYWjZ0taGJSODMzNfIuevv0CrxXv4lYQ98wxaz4rmCgshAOavPsItfaK5qeSetpdGd2X53hQWbzrBQ0Palqv/3ZZTPHJ5W4Z2VEfm7giMYc2BNOavOszbt/QoV/+ad1bx1YR++HrouXr2KjSaclVsfp442DlvqoGR+CaEqE8uHamzZGZy7Nbb0Li5ET1vLq1//omQKVPQ+frY6qTPn8/ZhV8QHh9Py8WL0Jo8OD7hXqwFF0YTTj31NAUHD9Li4wVEz/mQvE2bSHphmivekhAulZ2dTVZWlu1RUFDxqFthsZVdpzIZ2DbIVqbVahjYNogtxzIqfo3FitHNPmS467VsPHquwvpXxoZiKKk/vHMoV8ZW/miKJL4J4SIfAt0An5JHf+CXUsfzgYeBQMALGAMkl2njOOrSIx5ACPAUUFymzgrU5UeMQFvgU+e9hdpy6Uhd+vz5uIWHE5Hwsq3MEBVl+7uiKJz9/HOCHngA7yuuACDi1Vc4MHAQ2X/8ge8111Bw6BC5q1bRcskS27ffsOee48R99xPy9NPoQ6u/30eIpiI2Ntbu+bRp04iPjy9X71xeIRarQpCX0a482MvIodTcCtu+tF0w81cdoU+rQGICPFhzKI1fd5/Baq24L48Paw+oiwz3bx1Ix3AffE3N57KrxDchXCQKeAVoByjAZ8C1wFbUdeEmAT8DSwBf4BHgemBNyestqAldGPAPkIS6XpweOP/jfKSkzgPAl8CfqAsKhwMjatDXP0seKUDZWPpxDdop4dKRuuzlf2Hq0pmTjz3O/gEDOXzd9ZxbvNh2vOjkSSypaXgO6G8r03l7Y+rWDfO27QCYt21D6+NjC3gAnv37g1aLecf2Cs9bUFBgN5qRnZ1dR+9QiPqVmJhIZmam7TF16lSntT1tZCwtgzy54o0VtHvuF6b9sJsbe0VXeVkV1EWG7/h4A1nmIqf1pTGQ+CaEi4xE3a2hHdAeeAl1RG4dkAksAN4ELgd6oe7c8A8XtvD6jQu7OnQH/gXMAN4HCkvqzAFaAW8AnVATwxuAt2rQz+nAcNSkLg04V+ZRC7UaqVOKiihOS8NqzsctwB+dn1+tTl504gTnvv6GgDvvJOj++zDv3EXySy+j0Rvwu240xalpAOgCA+1epwsKojgtFYDi1DTcAuxX6dO4uaHz9cWSllbheRMSEpg+fXqt+ixEQ+bt7Y2Pj0+19fw9DOi0mnKTIlJzCgguM3p3XqCXkXnjLiG/yEJGXhGhPkZe+XUvLQI8qj1fh1Bvjp/NI9qBuq4m8U2IJsSCOiKXi3oZdjNQBAwrVacj0AJYC/Qr+bMrUPrOkBHAg6h7sfYoqVO6jfN1Hq9B3+agXrK9owavqYbDSZ0lJ5esH/9H1s/LMO/ciVJUBIoCGg1uYaF4DRyI3003Yera1eGTK4qCqXNnQiZPAsA9NpaCAwfI+OYb/K4bXeM346ipU6cyefJk2/NTp06Vu2wlRFNmcNPSJdKXfw6mMaJzGABWq8I/B9MZNyCmyte663WE+eooslj5ddcZrukaXu35nhjenpd+3sMTw9vTNdIXk0Fnd9zVs2ElvgnROJy/b/g8o9GI0VjBF9GdqElcPuoo3XdALLANMKBu0VVaKHCm5O9nsE/oKPW8ujpZqLtDmBx4M4XAAAfq1YBDSV36J5+SPmcO+hYt8Bo6hMD778ctJAStuxFLZiYFBw6Qt2kzx++ZgKlbN8Kee9Zu9lalJw8OwtC2jV2ZsU1rsn/7zXYcwJKejj7kwr0jlrQ0jJ062eoUnz1r14ZSXIwlMxNdUBAVKfufoPR/ECGaiwmDWvHEku10jfKje7QvC1YfJa+wmBt7qbNhJy/aRqivO1Ou6gjA1uPnSM7KJzbclzNZ+bz9x36sisL9l7Wp6jQA3PXpRvWcn2+i9NVaBdAAhxOucfK7c5zENyEaD0fvG6YDagKXCXwLjAdW1nXvamgC8BXwvPOadCipy9+5k5gvFmJs167C46Zu3fAbMwZrYSGZS5eSt3mzQ0HPo0dPCo8ctSsrPHoUfUQEAPqoKHTBQeSuXYd7SZCz5ORg3rEDv1tvUc/dvTvWrCzMu3Zj6tIZgNx168FqxdQtzpG3J0SzNDIugrO5hbz1+35SswvoFOHDZ3f3IdhbTQhOZZjRlLphrqDYyuu/7ef42Tw8DTqGdgjhrZu7OzT54et7+9XZ+7hYEt+EaDwSExOJjIy0Pa9wlA7U0bjzKzP1AjYCs4GbUUfIMrAfrUtGnRhByZ8byrSXXOrY+T/LzphNRp1t68goHaijiHOBP1Bn65YNpW862E4pDiV1kW++4VBjWoMB/1tucfjkAXeO5+itt5E25yN8/nUV5h07Obd4CeEvqveDaDQaAsaNI23OHAwtY9BHRpH6zju4hYTgPUy9mG1s0wbPwYNJeuF5wuPjUYqLSZ4xA5+rr5aZYUJUY/yAlowf0LLCY4vu72/3vF/rQP6YfFmtztOvdWD1lVxE4psQjYej9w2XYwUKUBM8PerkhDElx/ahLmFyPuT1R51ckYK6nAnA76gJW2ypOsvKnOP3Um04YgfqRAyAXWWOVTMBrTIuXdLE1LUrUe++Q+qbb5H2wQfoo6IInfoffEeOtNUJnDABxWwm6YVpWLOyMPXqSfS8uWhLZeeRr83izIyZHL/zrpLFOYcT9uwzrnhLQogK7Emq+BKgRgNGNx0Rfu4Y3XQV1mmsJL4J4SJTUWestgCyUS9xrgD+D3UJk3uAyUAAaqL2KGoydv6CwnDU5O0OYBbq/XPPoa5td/5H8wHgPeBp4G5gObAYdakUR/1Vi/dWjRondda8PNLmzSNv7Tr1Xo8yi1S1/eP3GrXnPXQo3kOHVnpco9EQPHEiwRMnVlpH5+dH5Buv1+i8Qoj6c/U7q6r84umm0/LvbuG8fF1X3PWuS+4kvgnRBKSgriuXhJrEdUNN6K4sOf4W6oJuY1BH70YAH5R6vQ74CXW2a3/AE/WevBdL1WmFmsBNQr2sGwXMp2Zr1JV2suTPqCprVavGSV3Sc8+Tt3EjvteOwi04mGoXqRJCNHsf3d6LV37dy/2XtiYu2g+A7ScymLfqCI9d0Q6LVeHVX/fyxm/7ePYa183UlPgmRBOwoJrj7qhrzr1fRZ0Yyl9eLWsI6oLGtWUFZqKudZdTUuYNPAE8S61WEq5xUpezahXRH83Bo2fPmp9NCNEsvf/XQaaN7Mxl7YNtZR3DfAjzNfHmb/v44ZFBmAw6Xvp5j0uTOolvQoh68yxqAvoKMLCkbDUQjzqJ4qWaN1njpE7n44PO17fmZxJCNFt7z2QT6Vd+Slikn4m9Z9QdD2LDfUjJzq/vrtmR+CaEqDefoV6yHVWqrBsQCTxErZK6Gg/uBT82kdR33sVqNtf8bEKIZqlNsBcfrjhEYfGFe9SKLFY+XHGINsFeACRn5Zfbi7a+SXwTQtSbs6i7WZTVseRYLTg0Unf4uuvtptcWHTvOgYGD0EdGgt6+idZLl9auJ6LRURQFpYpffhqTyW6dM9F8zRjdmQmfbaJ/Qgodw70B2HcmG4tVYcGdvQE4fjaPO/pVvZtFXZD4Jioi8U3UuTjUGbTvlCl/r+RYLTiU1HlfcUXtWhdNlqIoHLttLOatld8laurZk5gvv5DAJ+gVE8CqKZfz/dZTHEnLBeDqruFc2z0SL6Mahq7veZHTvmpJ4psoS+KbqBezgGtQFx8+v77dWuAE1U/SqIRDSV3wIw/XrnXRZClmc5UBD8C8ZQuK2YzGo+Fv4i7qnpfRjdtdMBJXHYlvoiyJb6JeXAbsR52Fu7ek7HrU++kiatekwxMlTk/5Dx79++HZp49tmxshANqtWY3WdOEmeKvZzIGBg1zYIyFqRuKbqIzEN1GnIqjVhIjKOJzUFZ0+zZlp8ShFRegjI/Ho2wfPvn3x6NvXbjNq0fxoTSa08m1VNGIS30RlJL4Jp9oBdEGdprqjmrrdat68w0ldzMLPsRYWYt6ylbwNG8jbsIGk//2IUlyMISZGDYL9+uFz1VU174UQQriQxDchRL3ojrrtWEjJ3zWAUkE9DWCpefM1WqdOazDg2a8vnv36AmAtKMC8dSs5f68iY/FiMhYvkaAnhGiUJL4JIercESC41N+drMaLDwMohYXkbdtG3oaN5K1fj3nHDtxCQvAePtzZ/RNCNCE7T2ZyMFVdbLhdiDddIhveQr8S34QQdab0XLFjwADKZ2LFwD9l6jrI4aQub+NGcjdsIG/9Bsw7dqAPD8ejd2/8brqJiNdmoQ8Lq/nZhRDNQlpOAY9+tZV1R9LxcdcDkJVfRP/Wgbx7aw8CXbzosMQ3IUS9GwokoV6KLS2z5FhdXn49Nm48+vBwAu+dQOSbb+AWFFTzswkhmqVp/9tNbmExv0+6lLYh6uLDB5KzeWLJduJ/TOTdW3u4tH8S34QQ9U7BbuFzm3TAs3ZNOpzUBU64h9wNG0h+OYFzX3+DR+/eePTpg0ef3rj5+9fu7EKIZuHvfal8MaGvLaEDaBfqzYvXduGOBetd2DOVxDchRL25vuRPDXAnUPpChQV1VuyA2jXtcFIX8sQTAFhzc8nbvJm8DRtIX7CAU08+ibFlTEkQ7IvPVSNq1xMhRJNlVRTcdOW/krppNSgVzfyqZxLfhBD15vytxArgDZhKHTMA/YB7a9d0jSdKaD098br0UrwuvRQAS0YG6Z9+yrkvvuTcN4vwuWp37XoihGiy+rcJYnrJZdZQH3cAzmTmM+OnRAa0CXRx7y6Q+CaEqHOflPzZEngKcOIyiDVO6hSrlfydO9WbijdsxLxlC9a8PPTh4XhfeaXzeiaEaDJevLYzEz7bxKBXlxPuq34tTco00z7Um7dv6e7azpUi8U0IUW/GAaeAdmXKDwB61KSvhhxO6tLnzyd3wwbMW7Zizc3FLTQUjz69CX1mKh59+2KIcs1m3EKIhi/Cz8TPEwex+mAah1JyAGgb4s2gdg1jQoLENyFEvbsTuJvySd16YD6wouZNOpzUnf3sczz69CHk6afw7NsXQ0zD25hbCNEw/XfzSf4dF87gdsEMbhdsKy8stvLj9tOM6eXapEnimxCi3m0FBlZQ3g94pHZNOpzUtVv1d+3OIIRosD5fe5SPVh4mNaeATuE+TB/Vme7RfpXWX7D6CF+uO8apDDMBngb+1SWcp6/qgLteV+V5nvp2O5d1CMboZV8vt6CYp77d7vKkTuKbEKLeaYDsCsozqdUadVCDpK7o9GmH6ukjImrXEyFEvfpx+2lm/rSHmdd1oUe0Hx+vOcK4BetZ/uQQgipYDPiHbad49de9vHZDN3q28OdIWi5PLtmORgPP/zu2ynNVthxTUmY+3iWLEbuSxDchRL27FEgAvgbOf9+1lJQNql2TDid1B4eVukn4/BoEGo19mUZDp0SZHSZEYzB/9RFu6RPNTZdEA/DS6K4s35vC4k0neGhI23L1Nx87xyUx/lzbPRKA6AAPRsVFsO1ERqXnuHr2KjQaNaEbO389Ou2FmGGxKpw8Z+ay9sGVvr6+SHwTQtS7V1ETuw7A4JKyVUAWsLx2TTo++1WjQR8aiu911+E1dCgat6ovtwgh6l92djZZWVm250ajEaOx/KhbYbGVXacyeWhIG1uZVqthYNsgthzLqLDtXjH+fLf1FNtOZNA92o/j6Xn8tS+F63tWful0eOdQABKTsri0fTAehgtxQ6/TEuVv4l9dwmv6Np1P4psQor7Foi40/B6wHXW9unGo99MF1K5Jx++pW/EXGd9/T+bS7zi3aBG+I0fid8MYjG3aVP9iIUS9iI21vww6bdo04uPjy9U7l1eIxaqUu8wa7GXkUGpuhW1f2z2Ss7mF3DjnHxQFiq0KY/u24OGh5Uf1znt8WHsAovw9+He38GrvvXMViW9CCJeIAF52XnMOJ3VuwcEE3XsvQffeS97mzWQsXcrRm27G0LYNfmPG4HfDDWi0Wuf1TAhRY4mJiURGRtqeVzRKV1trD6Xz/l+HmHFtF7q38ONoWh4v/ribd/48wMQrys7Jt3eDiydCVEfimxCi3lU3P+vSmjdZ48WHATx69cKjVy+KJ03i1BNPciZ+Oj7Dh6Pz86tNc0IIJ/H29sbHx6faev4eBnRaDWk5BXblqTkFBFcwSQLgzd/3cX3PSG7p0wKAjmE+mIuKmbp0J48MbYtWW9FUiMZH4psQol4MqaCsdBitxQzYWn31zNuyldPPPcehq/6FNS+PsBeeR+vALxIhRMNgcNPSJdKXfw6m2cqsVoV/DqbTM8avwteYiyx2cwcAtCUFDWD7VqeR+CaEqBfnyjxSgF+B3sBvtWvS8SVNUlLI/OEHMpd+hyUrC99//5uYr77EvX372p25jLS580h98038x91B2DPPAGAtKCDl1VfJ+nkZ1qIivAYOJGzaC7gFXViFvuj0aZKmTydv/Qa0Hh74jh5NyORJaNxqNQgpRLMxYVArnliyna5RfnSP9mXB6qPkFRZzYy91NuzkRdsI9XVnylUdAbiiYygLVh+hc4QvPaL9OJqey5u/7+eKTqF2s1obo7qObyAxTghRhm8FZVcCBmAysLnmTTq+pMnlV6APCcF39Gi8Lr8cjd4NFIX8ffvs6rl36FDjTph37iRj0SKMZV6bnJBAzsq/iZz9Nlovb5JnzODkoxNp+fVXACgWCyfufwC34CBafv0VxampnJ7yHzRuboRMnlTjfgjRnIyMi+BsbiFv/b6f1OwCOkX48NndfQj2Vi+/nsowoyk1NPfo5W3RaOCN3/ZxJjOfQE8DV3QK5ckRNf+Zb2jqMr6BxDghRA2EAvuqrVUhx7/qWSwUJSWR9uGHpM2Zo5YpZS661GIdJ2tuLqeffIrwGS+S9uGcC6fLzibjv0uJfO01PPv1AyA84WUOX30N5m3bMHXvTu6aNRQcOkSLTz5Wv9l26kTwYxNJef0Ngh95GI3BUKO+CNHcjB/QkvEDWlZ4bNH9/e2eu+m0PD6svW1Ga01YrArfbj7BmoPppOcWYLXaH//6vn41btOp6ii+gcQ4IUQldpR5rgBJwCtA99o16XBS1/aP32t3hmqceXEGXkMuw3PAALuAl797NxQV4Tngwi8WY+vWuEWEk1cS8MzbtmFs397uUoXnoEFY46dTcPAg7rEVr3JfUFBAQcGFG8Szsyvap0MI4SzTf9zNt5tPMrRjCO1DvdFUuL+E69RVfIP6j3ES34RoJLqjTowoe1NyP+Dj2jXpcFKXu24dXpdfjpu/f+3OVIHMn38mPzGRlt8uKXesODUNjV6PrswNym6BQVjS0mx13AIDyxxXnxenpVGZhIQEpk+ffrHdF0I46Mftp3n/tp4M7Rji6q5UqC7iG7gmxkl8E6KROFLmuRYIBtxr36TDs18z//cjBy8bwtFbbiVt3jwKDh2q/VmBoqQkkl9OIOL119A6cS0tR0ydOpXMzEzbIzExsV7PL0Rzo9dpiQn0cHU3KuXs+Aaui3ES30Szl4A6g9QbCAFGU/4etXzgYSAQ8ALGAMll6hwHrgE8Stp5CiguU2cF0BMwAm2BT2vQz5gyj2guKqGDGozUxXz2KZbMTHJWriR7+V+kz/kIXVAg3kMvx/uKyzH16lWjxTnzd+/Gkp7OkevHXCi0WMjbtIlzX35Fi/nzUIqKsGRl2X2TLU5PQ1dyKcItOAjzzp127Ranp6vHSl2uKKvs1kmlt1USQjjfvYNb88mao7x4bWe7yRcNhbPjG7guxkl8E83eStSErTdqEvYMMBxIBDxL6kwCfgaWoM5CfQS4HlhTctyCmtCFAf+g3us2DtBzYQeIIyV1HgC+BP4EJgDhwIhK+vZODd7HxBrULVGjOfE6X198R43Cd9QolMJCctevJ3v5ck499TRKfj5el12K19DL8bp0MFqPqr+Ve/TrT6v//WBXlvTMsxhatyJwwgT04eGg15O7dh0+I4YDUHD4CMWnk/Do3h0AU/fupM35iOL0dNslidw1/6D18sLQtvKti4QQ9Wvj0bOsPZzOiv0ptA/xxk1nn9h9dMclLurZBc6MbyAxTgiX+bXM809RR9o2o+7SkAksAL4CLi+p8wnQCViHek/bb6hJ4B+os1G7AzOAKUA86rIjc4BWwBslbXQCVgNvUXlS91aZ56lAHuBX8jyDCyODdZ3UlaYxGPAaPBivwYNh2jTMO3eR89dy0j78kILDhwh+6KEqX6/z8kRXZg0orcmEzs/PtjaU35jrSX71FXS+vmi9vEieORNT9+6YSgKe58CBGNu04fTTUwh56kmKU9NInT0b/9tuQyuzwoRoMHxMekZ0DnN1Nxx2sfENJMYJUReys7PtRp/LjkxXKLPkz4CSPzcDRcCwUnU6Ai2AtahJ3VqgK2pCd94I4EFgN9CjpE7pNs7XebyKvpS+j+4r4APUBPP8akf7gHuB+6t+S5Vx2uqVpq5dMHXtQvDEiShFRU5pM3TqVDRaLScfewylsBCvQQMJe+EF23GNTkf0nA9Jmj6do7fcitZkwnf0aIInPuqU8wshnOP1G+Nc3YWLUhfxDSTGCVFTsWVmfE+bNo34+PjKX2BFTbIGAl1Kys6gjrT5lakbWnLsfJ3QCo7jQJ0swAyYKu8WAM8D33IhoaPk728BNwBjq3l9BWqU1CnFxWC12q2NdG7JEsybNuPepQv+t49Fo9Gg0etr3hMgZuHnds+1RiNhL7xgF+TK0kdG0mLu3FqdTwhRv9JzCjiclgtA6yBPAivZZ9YV6jq+gcQ4IS5WYmIikZGRtufVjtI9DOxCvSza0CRRfuIFqPfzlZ204aAaJXWnnnoKQ1Q0IU9MBuDcN4tIfvVVvAYPJu2DDyhOSbEdE0KI8/IKi5n2w26Wbj2FtWRRX51Gw/U9I5k+qgsmg87FPZT4JkRj4O3tjY+jezE/AvwE/A1ElSoPAwpR71/zK1WeXHLsfJ0NZdpLLnXs/J9lk69kwIfqR+kArkC9zDofdQYtqJeGH6T8ZV0H1Wg6V35iIp6DB9men1u8iNCp/yHqndlEvv02mT//VLteCCGatBk/7WH9kbPMH38JO6YNZ8e04cwbdwnrj5xl5s8NY8kNiW9CNBEKakL3HbAcdTJDab1QZ7H+WapsH+oSJufXAu8P7ARSStX5HTVhiy1Vp3Qb5+v0xzEfoyaGl6AuiWIE+qBewp3vYBtlODRSd3qquvl08Zlkzi38gszvfwBFoWDvPnJXrcK8bTtYiilOSeX0M88CEPHyS7XrkRCiyfl1VxIfjO1F/zYXFtId2jEEo17LI19t5aXrurqsbxLfhGhiHkadhPAD6lp15++B80UdQfMF7gEmo06e8AEeRU3Gzu9YOBw1ebsDmFXSxnMlbZ+/4vsA8B7wNHA3agK5GHWpFEcEA8uA/cAe1N0lOgI134nRxqGkLiJBXZQld/06AsaPw+OSS8hesQLzli1EvfsuoO5jmP3ncgl2wo7VbK6wXGMyNcj1ykTdMBdZCPYuP1szyMuIudDigh5dIPFN1JbEtwbqw5I/h5Qp/wS4s+Tvb6FeqxwDFKDOWv2gVF0d6qXbB1GTPU9gPPBiqTqtUBO4ScBs1Eu886l8OZPKtAfalfz9Iv/b1OieOs/efUh6YRq+115L5tKleF/9L9uxgr17McTEXFxvRJNzYOCgCstNPXsS8+UXEviaiZ4t/Hnr9wO8cVMc7nr1/rn8Iguz/zhAzxg/13auhMQ3UVMS3xqosnupVsQdeL/kUZkY1JG0qgwBtjrWrQp9DrwGHCh53h5154o7atdcje6pC/nPFNy7dCbrp5/w6NePoPsvLKSS/cef+I4aWbteiCZFYzJh6tmzyjrmLVtQKvmWK5qeaSM7s+nYWfon/Mlt89Zx27x19E/4k83HzjFtZGdXdw+Q+CYcI/FNOM2bqCOBV6Netl0MXIV6WbfsIsUOqtFInZu/P5GzZlV4LHTqf2rXA9HkaDQaYr78osKgZjWbK/12K5quDmHerHhyKN9vO8WhlBwARsVFMLpHpG3kztUkvglHSHwTTvMu6qXicaXKRgGdUXetmFTzJp22+LAQpWk0GjQObKUkmg+TQcetfVq4uhtCXDSJb8IpkoABFZQPKDlWCw4ldUnT4gl68AH0YdVv85O1bBmKxYLvSLlUIRo+RVGqvEwiNzzX3u+JyQzpEIxep+X3xKpX0rwytuyy7PVH4ptoqiS+NXBtUS+5PlOmfBEXJk7UkENJnS7An8P/HompZw+8hw7FvUsX3EJC0BgMWLOyKDh0iLzNm8la9gtuIcGEv/hi9Y0K4WKKonDstrGYt1Z+l6vc8Fx79y3cxMZnhxHkZeS+hZsqracBDidcU38dK0Pim2iKJL41AtOBm1EXRx5YUrYGde27xbVr0qGkLuSxxwgYO5aMb7/l3FdfU3DokN1xracnnv37E/7idHUDbCEaAcVsrjLgwYUbnuVSS80dKZWoHXFh0lYdiW+iKZL41giMQd214k3g+5KyTiVlPWrXpMP31LkFBRH0wAMEPfAAlsxMipKSUPLz0fn7o2/RQjJ90ai1W7MarenCvi5yw7Nz/XfzSf4dF47RzX5SRGGxlR+3n2ZMr6hKXlk/JL6JpkziWwNUhLpF2PPAF85rtlYTJXS+vuh8fZ3XCyFcTGsyoZVvq3XmqW+3c1mHYIxe9kldbkExT3273eVJXWkS30RTI/GtAdID/0VN6pxIZr8K0Yx9vvYoH608TGpOAZ3CfZg+qjPdo/0qrHvzR2tZf+RsufKhHYL55K4+VZ5HoeKF0pMy8/F219e840II0diNRr3sWoulSyojSZ0QzdSP208z86c9zLyuCz2i/fh4zRHGLVjP8ieHEORlLFf/ozt6UWix2p5n5BXxr9mruLpreKXnuHr2KjQaNaEbO389Ou2F1M5iVTh5zsxl7YOd+r6EEKJRaIe67dgaoBfqVmSlTax5k5LUCdFMzV99hFv6RHPTJdEAvDS6K8v3prB40wkeGtK2XH0/D/u9W3/cnoRJr+OabpUndcM7q0uVJCZlcWn7YDwMFy6/6nVaovxN/KtL5a8XQogmawHgB2wueZSmQZI6IZq77OxssrKybM+NRiNGY/lRt8JiK7tOZfLQkDa2Mq1Ww8C2QWw5luHQuRZvPMHIuHA8DJWHkceHtQcgyt+DkRVMlBBCiGbriPObrNHer+Zt20h5622SZ71GzqpVzu+NEOKixMbG4uvra3skJCRUWO9cXiEWq1LuMmuwl5HUnIJqz7PtRAb7krO5ubdjO0S0C/Ei8XRWufKtx8+x42SGQ23UNYlvQgiXUUoeF8nhpC7r1//j6G1jObtwIRnffsuJ+x8gfcHHF98DIYTTJCYmkpmZaXtMnTq1Ts6zaOMJOoZ5VzqpoqwXfthFUmZ+ufLkrHye/2G3k3tXcxLfhBAusQDoAriXPLoA82vfnMNJXfrcufjdeCMdNm6gw4b1BD/2GGlz59b+zEIIp/P29sbHx8f2qOjSK4C/hwGdVkNamVG51JwCgiuYJFFaXmExP20/bbsXzxEHUnLoElF+mZDOEb4cTM52uJ26IvFNCFHvXgAeA0YCS0oeI1Fnw75QuyYdTuoKjh4l8O670OjUe2IC77oTa24uxenptTuzqJSiKFjz8ip9KIoTxmhFs2Zw09Il0pd/DqbZyqxWhX8OptMzxq/K1/68I4kCi5XrekTW6HwVXdZNyc63mxHrKhLf6o/ENyFKfAjMAxKAUSWPBGAu8EHtmnR4ooRiNqP18rI91xgMaA0GrHl5EBhYu7OLcmS/PlFfJgxqxRNLttM1yo/u0b4sWH2UvMJibuyljsBNXrSNUF93plzV0e51izedYHhsKP6ehoqardDgdsHM+nUv88Zfgk/JunSZ5iJm/bqPwe1cv6SJxLf6IfFNiFKKgEsqKO8FFNeuyRrNfs1Y8q3dqtSKxULmd9+h8/O3lQWMu6N2PRGA7Ncn6s/IuAjO5hby1u/7Sc0uoFOED5/d3Ydgb/Xy66kMc7lfrIdSc9h49BwL76l6seGynr26Ezd9tJaBryync4QPAImnswjyNvLWzd2d8n4ulsS3uifxTYhS7kAdrXuzTPlcYGztmnQ4qdOHh5OxZIn9i4OCyPzhfxcKNBoJek4k+/WJujZ+QEvGD2hZ4bFF9/cvV9Ym2Iujr1xT4/OE+brz6+OD+X7rafYkZeGu13Jjr2hGdY9Ar6vRJPw6IfGt/kl8EwJ1osRvQL+S5+uB48A4YHKpemUTv0o4nNS1Xf6no1WFk8h+faIp8TC4cVtfx5ZAqW8S3+qfxDfR7O0Cepb8/VDJn0Elj12l6tXgTgRZfFgIUW8OJGdzKsNMkcX+ZvgrY0Nd1CMhhHCRv5zfpMNJXcb33ztUz2/06Fp2RQjRVB1Pz+O+hZvYl5yNhgtrbJ7/Ano4oeaXdJ1J4psQoilwOKlLmvqMOlTu5gaVTTnXaCToCSHKmf7jbqIDPPjq3n4MfnU5PzwykHN5Rcz8eQ/PXt3J1d2T+CaEaBIcTuoMbVpjSUvHZ9RI/MaMwb1Dh4s+edpHc8n+/XcKDx9G4+6OqUcPQp54AmPrVrY61oICUl59layfl2EtKsJr4EDCpr2AW1CQrU7R6dMkTZ9O3voNaD088B09mpDJk9C4ydVlIRqCLcfP8dW9/QjwNKDVaNBoNPRuGcCUER2I/99ulj022KX9k/gmhGgKHJ521uann4j+aA5KfgHHbr+DI2Nu4NzXX2PJyan1yfM2bsT/tttouegbWny8AKW4iOMT7lHXhiqRnJBA9l8riJz9NjGff05xSgonH51oO65YLJy4/wEoKqLl118R8UoCmd99R+o779a6X0II57JYFbyMahLi72kgOUvdMizS38ThtNrHEGeR+CaEaApqtJaAKS6O8Ben027V3/jfcTtZv/zKgcGXcurJp7AWFtb45C3mz8Pv+uswtmuHe8eORCQkUHw6ifzd6l6QluxsMv67lNApU/Ds1w9Tl86EJ7yMeetWzNu2AZC7Zg0Fhw4RMWsW7p064XXppQQ/NpFzX32FUos+CSGcr0OYN4lJWQB0j/bjo5WH2XT0LLP/PECLgIYxA1LimxCisavVAlFad3f8Ro8m+NFHMHXtStayZShm80V3xpqt7gGp9VX3iMzfvRuKivAccGG9LGPr1rhFhJNXEvTM27ZhbN/e7nKF56BBWHNyKDh4sMLzFBQUkJWVZXtkZ7t+70khmrJHLm9n2/5p8pXtOXEujxs/WsuKfanEj+zs4t7Zk/gmhKg3B1AXG54JvFjmUQs1vimjKDmZzO++J+O7pSh5ZnxGjSQsfho63/KbddeEYrWS/HICpp49cW/fHoDi1DQ0ej06Hx/7TgcGYUlLs9VxK7ONz/nnxWlpVCQhIYHp06dfVH+FEI67rP2FrcBaBnmy/IkhZOQV4mvSN6jtoCS+CSHqzTzgQdR16cKwX49OA7xQ8yYdTuqyfvmFjKXfkbdxI56DBhI6ZQpel11m2wD7Yp158UUKDhwg5qsvndJeVaZOncrkyReWaj516hSxsbF1fl4hmqMii5WOz//KsomD6RDmbSv383B879i6JvFNCFHvZgIvAVOc16TDSd2pyU+gDw8nYPx43AIDKTp5inNfflWuXm220Tnz4gxyVqwk5ouF6MPCLnQuOAilqAhLVpbdt9ni9DR0JZcj3IKDMO/caddecXq6eqzUJYvSjEYjRqPR9jwrK6vGfRZCOEav0xLh547FWslSIQ2AxDchRL07B9zo3CZrtPcrGg1ZP/1UeaUa7o2oKArJM2aS/ccfxHz+GYaoKLvj7p07g15P7tp1+IwYDkDB4SMUn07Co3t3AEzdu5M25yOK09NtlyVy1/yD1ssLQ9u2DvdFCFF3Hhnaltf+by9v3dy9QY3QnSfxTQhR725E3ff1Aec16dK9X8+8+CJZP/1M1PvvofX0pDg1FQCttzdad3d03t74jbme5FdfQefri9bLi+SZMzF1746pJOh5DhyIsU0bTj89hZCnnqQ4NY3U2bPxv+02tIaG98tDiObos3+OcSw9lz4v/0mUnwmTwf6y5s8TXbtOncQ3IZqYv4HXgM1AEvAdMLrUcQWYhnpfWwYwEPgQaFeqzlngUeBH1GmlY4DZgFepOjuAh4GNQHBJ/acd7GNb4HlgHdAV0Jc5PrHcK6rltNUri86cIe39Dwif4fiUjYyvvwHg+LjxduXhL7+M3/XXARA6dSoarZaTjz2GUliI16CBhL1w4e5BjU5H9JwPSZo+naO33IrWZMJ39GiCJz7qhHclhHCG4Z0b996uEt+EaGRygTjgbuD6Co7PAt4BPgNaoSZXI4BEwL2kzljUhPB3oAi4C7gPOH9nRhYwHBgGzAF2lpzPr6RedeaiJogrSx6laXBtUmfJyCDjv/+tUdDrtHdPtXW0RiNhL7xgF+jK0kdG0mLuXIfPK4Soe5+sOcKtfVrgrtdx4yXRhPu4o9U2nJmuNSHxTYhG5l8lj4oowNvAc8C1JWWfA6HA98AtwB7gV9QRuEtK6rwLXA28DkQAXwKFwMeAAegMbAPexLGk7ojD78ZhtVqnTgghqjPz5z3kFBQDMPjV5ZzNk8VyhRAXJzs7224dxoKCgpo3cgQ4gzrCdp4v0BdYW/J8LeqI2yWl6gxDzZrWl6pzKWpCd94IYB/qJAhHFZa8prgGr6mEJHVCiDoR6m3kl11nOHkuDwU4k5nPqQxzhQ8hhHBEbGwsvr6+tkdCQkLNGzlT8mfZu0JCSx07A4SUOe4GBJSpU1Ebpc9RlTzgHsADdZTveEn5o8ArDry+ArIjtBCiTjxyeTvi/7ebaT9Y0QCj3ltdro6CeuvI4YRr6rt7QohGKDExkcjISNvz0sv3NDpTge3ACuCqUuXDgHjgPzVv0uGk7uSjVd+Ya8mSrWiEEBfc1rcFo7pHcOqcmatm/82X9/RtkMuZgMQ3IRoLb29vfMrswlJj55eLTAbCS5UnA91L1Ukp87pi1BmxYaXqJJepk1zqWHW+BxYB/bDfTaIzcMiB11fA4aRO6+Vd7XHfa6+tso4QonnxMrrRIcyb126Io1dLf4xuztmhwdkkvgnRjLRCTbr+5EISl4V6r9yDJc/7oy51shnoVVK2HLCi3nt3vs6zqDNjzy9H8jvQAfB3oB+plL/EC+rM3VrOKXM4qYtIeLl2ZxBCNHs39IqqvpILSXwToonJAQ6Wen4EdWZqANACeBx1m652XFjSJIILa9l1Qr0kei/qciVFwCOoM2MjSurcBkxHvS9uCrALdR27txzs4yXAz6j30MGFRG4+asJYC3JPnRDN2Odrj/LRysOk5hTQKdyH6aM60z3ar9L6meYiXv+/ffy6+wyZeUVE+pt44d+xDO1Y0ddNIYRwkU3A0FLPz2+HPB74FHWB4FzUpUcygEGoS5i4l3rNl6iJ3BVcWHz4nVLHfVF3hHgYdTQvCHgBx5YzAXgZddmVRNRLu7NL/v4P5detc5AkdUI0Uz9uP83Mn/Yw87ou9Ij24+M1Rxi3YD3LnxxCkFf5m48Li63csWA9gZ4GPhzbk1Afd05lmPFxL7sMuhBCuNgQ1JlYldEAL5Y8KhPAhYWGK9MNWFWjnl0wCHX08BXUHSV+A3qiLpXStXZNSlInUBQFxVz5shIakwmNpnEuGisqN3/1EW7pE81Nl0QD8NLorizfm8LiTSd4aEj5fUUXbzpBRl4R/31wAHqduhpSdIBHvfZZiJqS+CYatDaoW5U5iSR1zZyiKBy7bSzmrVsrrWPq2ZOYL7+QwOcEDeUXTGGxlV2nMnloSBtbmVarYWDbILYcy6jwNX/sSaZnCz9e+GEXvycmE+Bp4NrukTxwWRt01ewUMfuPA9x3aetye77mF1n4aOVhHhvWrpJXClF7Et/qX0OJcY1CViXlGsCI/aLGDpKkrplTzOYqAx6AecsWFLMZjYeMylyM+vgFc3619fOMRmOF6zidyyvEYlXKXWYN9jJyKDW3wraPn83jn3NmRneP4JM7+3A0PZfnf9hFkcXK48PaV9mv2X/uZ2y/FuWSOnOhhdl/7pekTtQJiW/1S5LoGvKj6lmuUcCdwDQc3ipCkjph027NarQmk+251WzmwMBBLuxR01Ifv2BiY2Ptnk+bNo34+PhatVWWokCQp4GE67uh02roGuVLclY+H/19uNqk7vwiw2XtScpqsGvXiaZF4lvdkyS6hj5FXRLlTqBPSdkG4DPUfWlTUfeZNQLPONakJHXCRmsyoW2kP2iNbci/rn7BOLraur+HAZ1WQ1qO/b6JqTkFBFcwSQIg2NuIXqexu9TaJsSL1OwCCoutGNzKf5XsFv9/aDQaNMDQ11fY/RtYrQq5hcWM7RtTk7coRK1IfKtfkkQ74DPgDeCmUmUjUSdJfIS6jl4L4CUkqRPNR2Mc8q+rXzCOrrZucNPSJdKXfw6mMaKzuvS51arwz8F0xg2oOMm6JMafH7adxmpV0JYkdkdScwnxNlaY0AG8MLIziqLw9H93MOnK9niXmimr12mI8vegV4wjq3QK0Tw1xvgGjTuJrjf/oK6BV1YP1BmwoM6QPV5BnUpIUicaPRnyr50Jg1rxxJLtdI3yo3u0LwtWHyWvsJgbe6mzYScv2kaorztTruoIwO39Yvh87TGm/7ib8QNacjQ9lw9WHOTOAS0rPcf5RYejA9Tk7fysWSGEYyS+NWHRwALUJU1KW1ByDCAdx3anKCFJnWhSZMjfcSPjIjibW8hbv+8nNbuAThE+fHZ3H4K91cuvpzLMdt/8I/xMfHZ3H2b8lMhVs1cR5uPOXQNb8cBlbSpsPzu/yDYy1znCh/wiC/lFlgrrestad0JUS+JbE/M6cCPwC9C7pGwTsBf4tuT5RuBmx5uUpE40KTLkXzPjB7RkfCUjbYvuL79PTa8Yf75/eKBDbcdN/40Nzw4jyMtIt+m/VThR4vwEisMJ1zjcZyGaK4lvTcwo1ATuI2B/Sdm/gO+BliXPHyz3qipJUieEqBNf3dsPP5M6Avf1vf1c3BshhGiAWlH+8utFkKROCCerbKaatYrZa01Rv9aBFf5dCNF4VTUTt7nFOKfIQL2Hbk/J887A3aj7ytaCJHVCOJEjM9Waiz1JlS2XXl6n8Opn7AohXEvim5NtAkYAJi6sU/cm6hIm5/eBrSFJ6oRwIkdmqpl69kRT6mbnpurqd1ahoeo9tUHuqROisXAkvkHziXEXbRLqfXXzuJCNFQMTgMeBv2vepCR1F6m2i0LKJbrGzZF/v7Iz1c5riAuF1oVVTw91dRfERZL41jxdTHyD5hPjLtom7BM6Sv7+NHBJ7ZqUpK4apf9zl/2P6shQtLFTJ1p+sRBK/wdXFI7efgcFe/ZU+jrRcJT7ReTgv19zn6kW5d9833tjIfFNSHxzIR/UhYU7lik/AXjXrklJ6qqhmM3s69kLgA5bNtst7ujIUHTBnj3s61XzlFuGrxuO2qwDJf9+5R1KzeGzf45yMCUHgLYhXowf0JI2wV4u7lnzJfFNSHxzoZuBe1DXqxtQUrYGeAq4tXZNSlLnJOWGoh34tlPht9wSdTV8XfZbmSsvh1R27oYwdK8xmTD17Il5y5ZK67ji36+x+mVnEo9+vZWuUb70bKEuj771+DlGvPU3797ag391DXdxD0VVJL7VnMQ3Ua3XUW8qHod6Lx2AHnVtuloucyJJnZNUNBTdaul/G9wmzA1p9fHK+tIQ9jHUaDTEfPlFg/v3a6wSftnLQ0PaMHl4B7vyN3/fT8IveyWpa+AkvtWcxDdRJQuwDogHEoBDJeVtgIu4qi1JXR3SaDQNYi8+R76VVTec7qxvwI70paHsY+iqf7+qPtvGGmhTsvO5vmdUufLrekQy9+9DFbxCNHQS32rXl+Ye36Bpxrga0wHDUdenawV0dU6zktQ1UjUJQs74Vuasb8BV9aWu9zFsSJdmqlLVZ1D2vqfGol/rQDYcPUvLIE+78o1Hz9K7ZYCLeiUaKolvNddY4hs0zRhXK12Aw6hJnZM0maTu7JdfcnbBxxSnpWHs2JGw557F1K2bU8/RkH5oahocavOtzBnfgJ3VF2doSJdmynLks27MhnUK5dVf9rLrVCY9WvgBsPV4Bst2JvH4sPb8nphsq3tlbKiLetmw1XWMk/hWnsQ352nqMa5WZgJPAjOAXoBnmeO1WJO9SSR1WcuWkfLKq4TFx2OK68bZzz7n+IR7afPLMtwCnbc9kat/aOoqCFV6Phfed+Gsm4zr+zOrLUc+a8Dl/ayt53/YBcDCdcdYuO5YhcdAFiKuTH3EOIlvFfdJ4ptzNPUYVytXl/w5CjX4naeUPLfUvMkmkdSlf/oZfjfeiN+Y6wEImx5PzsqVZPx3KUH33XtRbTekHxpXBKGG9q2zpjcZN6YbghvKPUp14YgkahelrmKcxDeJb/WpKce4WvnL+U02+qROKSwkf/duu8Cm0Wrx7N8f87ZtFb6moKCAgoIC2/Ps7OxK229oPzRN+Yeirm4ybsqfmWj6ahrjJL41TBLfRDmXOb/JRp/UFZ/LAIsFXZlLELqgQAqOHKnwNQkJCUyfPt3hc8gPTf1w5U3Gom5sPnaOjLxCruh04T65/24+yVt/7MdcaGF451DiR3XG6KZzYS8btprGOIlvDZPENwHAjhrUrcUts9qav6Txmzp1KpmZmbZHYmKiq7skSmg0GrQeHuUfzek+iybknT8PsD85x/Z875kspvx3B4PaBvHgkDb8sSeFD/6SJU2cSeJbwyXxTdAd6FHqz6oetdDoR+rc/P1Ap8OSnm5XbklLxy0oqMLXGI1GjEaj7XlWVlZddlE4WUOapSeqlpiUxRPD29ue/7j9NN2j/XhljPoVNNzXxFt/7GfSle0ra6LZq2mMk/jWuEl8a+JKD65vRZ39+hTQv6RsLfAGMKt2zTf6pE5jMODeuTO5a9fhPWwYAIrVSu66dfiPHevi3om6IJcpGo9McxFBXhcSjPWHzzKkQ7DtebcoX5Iy5JdWVSTGNS8S35q4mFJ/vxF4hwuzYEG95BoNPA+MrnnzTeLya+Cd48lYsoSM776n4NAhzsRPx2o243f9da7umnCS8zcZV6WhTN0XFwR7GTlxNg+AwmIru05n0qNk71eA3MJi3HRNIgzVKYlxTZvEt2ZqJxUvPNwKqOVdE41+pA7A5+qrKT57jtR338GSmoaxUydazJtb6eVX0fg0tFl6wjFDOgTz6q97+c+/OvHb7jOY9Dq7HST2JmUTEyg36VdHYlzTJvGtmeqEuu/rfMBQUlZYUtapdk02iaQOIOD2sQTcLpcimjKZpdf4PDG8Aw8s3MzNc9fiaXDj9RvjMLhdGJlbvOkEg9tJYuIIiXFNm8S3ZmgOMBKI4sJM1x2oCw//WLsmm0xSJ4Souc/XHuWjlYdJzSmgU7gP00d1pnu0X4V1l2w6wVPf2s/HN7hp2T/zX5W2H+BpYPED/cnKL8LT4IZOaz/S8MHYnngYJAwJIerA+8BrwBkgDngX6OPSHtnrg7r365fA3pKym4HbKL9lmIMkmgrRTP24/TQzf9rDzOu60CPaj4/XHGHcgvUsf3KI3eSG0ryNbvz55IUVMzU4djnIx11fYbmfh6HCciGEuCiLgMmoo2F9gbeBEcA+IMR13bKTi5q83ee8JiWpE6KZmr/6CLf0ieamS6IBeGl0V5bvTWHxphM8NKRtxS/SQIi3ez32UtQpBchzdSeEKMUDHPyuWLU3gXuBu0qezwF+Bj4G/uOE9p0hFLgJuBtw0qRnSeoAq9UKQFJSkot7IkTtnP+/m5mZiY+Pj6287Jpl5xUWW9l1KpOHhrSxlWm1Gga2DWLLsYxKz5NXaGHgK8uxKgqdI3x5+qoOtA/1dt4bEU5XZXzLA58OPuXLhXCRrH1ZamJXRo1iXCGwGZhaqkwLDENdB66h+AL4FLgcaIma3I0DImrfpCR1QHJyMgB9+jSki+1C1FyXLl3snk+bNo34+Phy9c7lFWKxKuUuswZ7GTmUmlth262DvZg1phsdw73Jzi9m3t+HGfPBP/w2+VLCfWWphYZK4ptoVDpUfdihGJcGWFBHwkoL5cK9aw3B6JJHKrAQNcF7HvUy8d3AKGqcpUlSB/To0YPly5dz+eWXk5iYiLe3jDycl52dTWxsrHwuZTS0z8VqtXL8+HFiY2Nxc7vwY13RKF1t9Yrxp1eMv93zYW+u5Kv1x3lieDWRWLiMxLfKNbSf44aiIX4u9RHjXCYY9f6/yaiTOZ4ClgFBwAOol4sdnBgtSR3g5uZGr169AIiMjLQb2m3uzm8xJJ+LvYb4ubRo0cLhuv4eBnRaDWk5BXblqTkFBFcySaIsvU5L5wgfjqbLTVkNmcS3yjXEn+OGoKF+Lg7HuCBABySXKU8GwpzbJ6dIBj5DHak7BtwA3AOcBF4F1gG/OdaULOUuRDNkcNPSJdKXfw6m2cqsVoV/DqbTM8bPoTYsVoW9Z7IJ8W4C35SFEE2HAegF/FmqzFryvH+Fr3CNpajr1EUDXwEPAadQ77UbCtwB/ACscLxJGakTopmaMKgVTyzZTtcoP7pH+7Jg9VHyCou5sZc6G3byom2E+roz5aqOAMz+4wA9WvjRMtCTrPwiPvr7MKfOmbmld7Qr34YQQpQ3GRgPXIK6HtzbqEuI3FXFa+rbXcAtwBqgdyV1IoBnHW9SkroSRqORadOmNY3r804kn0vFmsLnMjIugrO5hbz1+35SswvoFOHDZ3f3Ibhk5O1UhtluW6JMcxFTl+4kNbsAH5OerpE+/PfBAbST2a8NXlP4/1oX5HOpWJP4XG5GnYDwAuriw92BXyk/ecKVkqj+XjkTMM3xJjWKoigX0SUhhBBCCOGoLAfr1eJ2RknqhBBCCCHqi5aqF1hWSo5bat60XH4VQgghhKgvf5X6uwJcDcwHIi++aRmpE0IIIYRwFW9gO9D64puSJU2EEEIIIZoASeqA999/n5YtW+Lu7k7fvn3ZsGGDq7tU7/7++29GjhxJREQEGo2G77//3u64oii88MILhIeHYzKZGDZsGAcOHHBNZ+tJQkICvXv3xtvbm5CQEEaPHs2+ffvs6uTn5/Pwww8TGBiIl5cXY8aMsW3LJERD0dxjnMS3ikmMa3qafVK3aNEiJk+ezLRp09iyZQtxcXGMGDGClJQUV3etXuXm5hIXF8f7779f4fFZs2bxzjvvMGfOHNavX4+npycjRowgPz+/nntaf1auXMnDDz/MunXr+P333ykqKmL48OHk5l7YG3XSpEn8+OOPLFmyhJUrV3L69Gmuv/56F/ZaCHsS4yS+VUZiXANS1cSJmlCauT59+igPP/yw7bnFYlEiIiKUhIQEF/bKtQDlu+++sz23Wq1KWFiY8tprr9nKMjIyFKPRqHz99dcu6KFrpKSkKICycuVKRVHUz0Cv1ytLliyx1dmzZ48CKGvXrnVVN4WwIzHOnsS3ykmMqyfXlXm4KYoyvILyWmjWI3WFhYVs3ryZYcOG2cq0Wi3Dhg1j7dq1LuxZw3LkyBHOnDlj9zn5+vrSt2/fZvU5ZWZmAhAQEADA5s2bKSoqsvtcOnbsSIsWLZrV5yIaLolx1ZP4doHEuHriW+ZxO+rOEWXLa6FZL2mSlpaGxWIhNNR+ienQ0FD27t3rol41PGfOnAGo8HM6f6yps1qtPP744wwcOJAuXboA6udiMBjw8/Ozq9ucPhfRsEmMq57EN5XEuHr0Sd013ayTOiEc9fDDD7Nr1y5Wr17t6q4IIYTTSYxrGpr15degoCB0Ol25mTzJycmEhYW5qFcNz/nPorl+To888gg//fQTf/31F1FRUbbysLAwCgsLycjIsKvfXD4X0fBJjKtec49vIDGuKWnWSZ3BYKBXr178+eeftjKr1cqff/5J//79XdizhqVVq1aEhYXZfU5ZWVmsX7++SX9OiqLwyCOP8N1337F8+XJatWpld7xXr17o9Xq7z2Xfvn0cP368SX8uovGQGFe95hrfQGJcU9TsL79OnjyZ8ePHc8kll9CnTx/efvttcnNzueuuu1zdtXqVk5PDwYMHbc+PHDnCtm3bCAgIoEWLFjz++OPMnDmTdu3a0apVK55//nkiIiIYPXq06zpdxx5++GG++uorfvjhB7y9vW33kPj6+mIymfD19eWee+5h8uTJBAQE4OPjw6OPPkr//v3p16+fi3svhEpinMS3ykiMa4KcMDm30Xv33XeVFi1aKAaDQenTp4+ybt06V3ep3v31118K6i50do/x48criqJO+3/++eeV0NBQxWg0KldccYWyb98+13a6jlX0eQDKJ598YqtjNpuVhx56SPH391c8PDyU6667TklKSnJdp4WoQHOPcRLfKiYxrumRvV+FEEIIIZqAZn1PnRBCCCFEUyFJnRBCCCFEEyBJnRBCCCFEEyBJnRBCCCFEEyBJnRBCCCFEEyBJnRBCCCFEEyBJnRBCCCFEEyBJnRBCCCFEEyBJnQBgxYoVaDSachs315c///yTTp06YbFYAIiPj6d79+41bqewsJCWLVuyadMmJ/dQCNFYSXwTzYUkdc3QkCFDePzxx+3KBgwYQFJSEr6+vi7p09NPP81zzz2HTqe7qHYMBgNPPvkkU6ZMcVLPhBCNicQ30ZxJUicANViEhYWh0Wjq/dyrV6/m0KFDjBkz5qLaKSwsBGDs2LGsXr2a3bt3O6N7QohGTuKbaC4kqWtm7rzzTlauXMns2bPRaDRoNBqOHj1a7vLEp59+ip+fHz/99BMdOnTAw8ODG264gby8PD777DNatmyJv78/EydOtF1SACgoKODJJ58kMjIST09P+vbty4oVK6rs0zfffMOVV16Ju7t7uWMLFy6kZcuW+Pr6csstt5CdnW07NmTIEB555BEef/xxgoKCGDFiBAD+/v4MHDiQb7755uI/MCFEoyHxTTR3ktQ1M7Nnz6Z///7ce++9JCUlkZSURHR0dIV18/LyeOedd/jmm2/49ddfWbFiBddddx3Lli1j2bJlLFy4kI8++ohvv/3W9ppHHnmEtWvX8s0337Bjxw5uvPFGrrrqKg4cOFBpn1atWsUll1xSrvzQoUN8//33/PTTT/z000+sXLmSV155xa7OZ599hsFgYM2aNcyZM8dW3qdPH1atWlXTj0cI0YhJfBPNnZurOyDql6+vLwaDAQ8PD8LCwqqsW1RUxIcffkibNm0AuOGGG1i4cCHJycl4eXkRGxvL0KFD+euvv7j55ps5fvw4n3zyCcePHyciIgKAJ598kl9//ZVPPvmEl19+ucLzHDt2zFa/NKvVyqeffoq3tzcAd9xxB3/++ScvvfSSrU67du2YNWtWuddGRERw7Ngxxz4UIUSTIPFNNHeS1IlKeXh42AIeQGhoKC1btsTLy8uuLCUlBYCdO3disVho3769XTsFBQUEBgZWeh6z2VzhpYmWLVvaAh5AeHi47Vzn9erVq8I2TSYTeXl5Vbw7IURzJvFNNEWS1IlK6fV6u+cajabCMqvVCkBOTg46nY7NmzeXm+VVOlCWFRQUxLlz5xw6//lznefp6Vlhm2fPniU4OLjScwohmjeJb6IpkqSuGTIYDHY3/zpLjx49sFgspKSkMHjw4Bq9LjEx0al92bVrFz169HBqm0KIhk/im2jOZKJEM9SyZUvWr1/P0aNHSUtLK/ftsLbat2/P2LFjGTduHEuXLuXIkSNs2LCBhIQEfv7550pfN2LECFavXu2UPpy3atUqhg8f7tQ2hRANn8Q30ZxJUtcMPfnkk+h0OmJjYwkODub48eNOa/uTTz5h3LhxPPHEE3To0IHRo0ezceNGWrRoUelrxo4dy+7du9m3b59T+rB27VoyMzO54YYbnNKeEKLxkPgmmjONoiiKqzshxFNPPUVWVhYfffTRRbd18803ExcXxzPPPOOEngkhxMWR+Cbqi4zUiQbh2WefJSYm5qIvlRQWFtK1a1cmTZrkpJ4JIcTFkfgm6ouM1AkhhBBCNAEyUieEEEII0QRIUieEEEII0QRIUieEEEII0QRIUieEEEII0QRIUieEEEII0QRIUieEEEII0QRIUieEEEII0QRIUieEEEII0QS4uboDQghREatiZdOZTWxO2UxSThL5xfn4u/vTMaAj/SP6E+YZ5uouCiFEgyI7SgghGpT84nw+2/0Zi/ctJrMwkw4BHQgxhWB0M5JZkMnBjIOk5qXSP6I/D8Q9QFxwnKu7LIQQDYIkdUKIBmXYkmHEBcdxbdtr6R/RH71WX67O6ZzTLDuyjCX7lnBvt3u5of0NLuipEKI5OmYuYH1mLifzCzFbrATq3ejibeISH0/cda69q02SOiFEg3I44zCt/Vo7VLfIWsSZnDNE+0TXca+EEM3df8+cZd7JNLZn5xFscCPMoMddp+VcUTHHzIUYtRquD/XnkZhQot0NLumjJHVCiAap2FrMvJ3zuK7tdXL/nBDCpYZt3Ideo+Gm8ACGB/oQWSZpK7Ba2ZSZyw8pGfyUmsEr7aMZFeJX7/2UpE4I0WD1/bIvS69dSqRXpKu7IoRoxv5Kz2JooI9Ddc8WFXMiv5A4b4867lV5sqSJEKLB6hPeh01nNrm6G0KIZu58QldsVVh85iyphUWV1g3Qu7kkoQNZ0kQI0YANjhzM21ve5sC5A8QGxmJyM9kdH9piqIt6JoRojty0GqbsO8HffTu5uisVksuvQgjm75zP7C2zub3T7UzpMwWAAksBr218jV+P/kqhpZCBEQN5tt+zBJmCbK9LyklixroZbDyzEQ+9B6PajOKxno/hpr3wfXHjmY28tvE1DmYcJMwzjPu63cfotqMd6le3z7pVekyj0bB93PbavWEhRJO2NiOHD46nsCM7j+TCYj7p0pJ/BfvZjiuKwqwjZ/gyKZ2sYgu9fT15tX00rT2M1bZ93dYD3B8VwlXBvnX4DmrHpSN1isVC6nvvkfW/HylOS8MtJATf60YT9OCDaDQatY6ikPbuu5xbsgRrVjamnj0InzYNQ8uWtnYsGRmcmfkSOX/9BVot3sOvJOyZZ9B6erronQnReOxK28W3+7+lvX97u/JZG2bx96m/eeOyN/AyePHy+peZ9NckFl69EACL1cJDfz5EkCmIhVcvJDUvlWdXP4ub1o3Hej4GwMnskzz858Pc2P5GXhn8CuuS1hH/TzzBpmAGRg6stm87xu9w/huuJxLfhHCdPIuVzl4mbg0P4O5dR8sdf+94CgtOpfJOxxhamAy8eiSJW7Yf4u8+HatdluTOyCCmHTzFqQL1vjmPMvVjvUyVvLIeKC6U+uEcZV/ffkrWX38pBSdOKpm//Krs7dFTSf/s8wt15s5V9l7SW8n64w/FvHevcvzBh5QDVwxTLPn5tjrHJtyrHLp2tJK3bZuSu2mTcmD4cOXk5Cdc8ZaEaFRyC3OVa5Zeo/xz6h/lzl/uVF5Z/4qiKIqSVZCldP+8u/J/R/7PVvdQxiGly6ddlG0p2xRFUZS/T/ytdPusm5Kal2qrs2jvIqXfl/2UwuJCRVEU5Y1Nbyijvx9td84nVzyp3P/b/XX91lxO4psQDUPo8q3KspRztudWq1Xpunqn8v6xZFtZZlGx0mLFNuW7M2erbS9s+dZyj/BSf7qSS0fqzFu34nXF5XgPGQKAISqSrJ9/xrxzJ6B+iz37+ecEPfAA3ldcAUDEq69wYOAgsv/4A99rrqHg0CFyV62i5ZIlmLp2ASDsuec4cd/9hDz9NPrQkGr7UVxczNatWwkNDUWrlbkjovGxWq0cP36c2NhY3Nwu/FgbjUaMxsovJ7y0/iUGRw6mf0R/5u6YaytPTE+k2FpMv4h+trLWvq0J9wxne8p24oLj2J66nXZ+7ewuxw6IGMCMdTM4mHGQToGd2J6ynX7h/ezOOSBiALM2znL4va1LWsf6pPWczT+LVbHaHZsxcIbD7dQ3iW9COE9tY1xFjucXklJYzKX+XrYyHzcdPbw92JSVy+hQ/ypfv6F/bM06X49cmtSZevQgY/FiCo4cwdiqFfl795K3ZQuh/1Hv6Sk6eRJLahqeA/rbXqPz9sbUrRvmbdvxveYazNu2ofXxsQU8AM/+/UGrxbxjO/orryx33oKCAgoKCmzPN2/ezOWXX16H71QI15g2bRrx8fEVHvvlyC8kpifyzb+/KXcszZyGXqvHx2A/hT/QPZC0/DRbnUBToP3xkudpZrVOen56hXVyinLIL87H3c29yv5/uO1D5uyYQ+fAzgSZgtCgqbJ+QyLxTYi6V1WMq0xKYTEAwQb73WqCDXrbsaq4amFhR7g0qQu8716suTkcvvoa0OnAYiH48cfxHTkSgOJU9ReDLtD+l4IuKIjitFRbHbeAALvjGjc3dL6+WNLSKjxvQkIC06dPL1e+YcMGwsPDL/p9CVHfkpKS6NOnD7t27SI6+sLuCpV9gz2Te4ZXNrzC3CvnYtTV7FtufVq8fzEzB85kZJuRru5KjUl8E8J5ahrj6trhvALWZGSTVliMtcx00ydauW6xdJcmdVm//ELmjz8R8fprGNu2o2DvHpJfTsAtJAS/60bX2XmnTp3K5MmTbc9PnTpFbGws4eHhREVF1dl5hahrvr6++PhUv0Dm7vTdnM0/y80/3WwrsygWNidv5uu9XzPnyjkUWYvIKsyyG61Lz08nyF293BpkCmJX2i67dtPN6bZjoI7snS8rXcdL71XtKB2o24B1D+5ebb2GSOKbEM7naIyrSohBTX1SC4sINV4YrUstLKKLd/WTHL44nc6U/ScI0LsRYnCzu4KgoRkndSmvvU7gvRPwveYaANw7tKfo9GnS587F77rRuAWrvxgs6enoQy7cO2JJS8PYSV0jxi04iOKzZ+3aVYqLsWRmogsKoiJlr8FnZWU59X0J0dD1C+/H0lFL7cqeX/M8rXxbcXeXuwnzDMNN68b6pPVcGaNe4juSeYSk3CTiQuIAiAuOY97OeaSbL1xiXZu0Fi+9F2382qh1QuJYdXKV3XnWJq0lLjjOoX5e3+56fj7yMw/EPXBR79cVJL4J0TC1cDcQYnBj1bkcupQsEpxdbGFrdh53Rlb8c1XaW0fP8J9W4TwaE1rXXa0x1y5pYjajKXvjrlYHVvVmaH1UFLrgIHLXrsO9JMhZcnIw79iB3623AGDq3h1rVhbmXbsxdekMQO669WC1Yurm2C8OIZobT70n7fzb2ZWZ3Ez4Gf1s5de3vZ7XNr6Gr8EXT4MnCesTiAuOsyVkAyIG0Nq3Nc+sfobJvSaTZk7jva3vcUvHWzDo1HtObmp/E9/s/YY3N73J6Haj2ZC0gd+O/sb7V7xfad9KT6JQFIXP93/OuqR1tPdvb7f+HcDTvZ92yudRFyS+CeE6ucUWjpgv3Ft6PL+QXdl5+OndiHI3cG9UMG8fS6a1h5EW7uqSJqEGPVcFVb/2XGaxxSX7ujrCpUmd19ChpM35CLfwcIxt25G/J5Gzn36K35jrAXVx0YBx40ibMwdDyxj0kVGkvvMObiEheA8bBoCxTRs8Bw8m6YXnCY+PRykuJnnGDHyuvtqhmWFCiIo93edpNBs1TFoxiSJrEQMiBvBcv+dsx3VaHe9f8T4z1s3g9mW3Y3IzMarNKB7u/rCtTpR3FO9f8T6zNs7iiz1fEOoRSvyA+CrXqNt7dq/d844BHQE4mHHQrryhT5qQ+CaE62zLzmPMtkO259MOngbgpjB/3ukUwyMtQsizWHly3wmyii308fXk67jW1a5RBzAyxI8VZ7MZH9nw7kd26Y4SlpxcUt+ZTfYff2BJP4tbSAg+11xN8EMPoTGo3/SV84tzLl6CNSsLU6+ehL3wAsZWrS60k5HBmRkzSy3OOZywZx1fnPPkyZNER0dz4sSJRn3PiaIoKGZzpcc1JpNt0VPRtDSV/8NNicQ355L41ry5+v/x/JOptr/nWazMOZHCsEAfOnma0Gvt/99NiAqu7+7ZyDZhuP4/izMoisKx28Zi3rq10jqmnj2J+fILCXxNUFP4P1zald9eydDooQyJHkKfsD7lLrsKxzWF/xsS34Sr/x/3XpvoUD0Nrl3HTiJlE6GYzVUGPADzli3qfT4eHvXUKyFq5+VBL7PixApeWvcS5/LPMSByAEOih3Bp1KXl1s4TTZ/EN+FqGxvwgsOlSVLXBLVbsxqt6cK0bKvZzIGBg1zYIyFqpndYb3qH9eap3k9x8NxBVpxcwdd7vmbamml0D+nOkOghDIkeQrR3dPWNiSZF4ptwldFbDjAiyJcRQb609mh499OBJHVNktZkQivfVkUT0da/LW392zKh6wTSzGmsOLGCFSdW8M6Wd4jyjmJSr0lcGnWpq7sp6onEN+Eqt4YH8lt6Jq8fPUOEUc/wIF9GBPrQ29ezwVz2l6ROCNFoBJmCuKH9DdzQ/gbyivJYe3qt3G8nhKgXN4cHcHN4AAVWK6vO5fB/aZncu/soFgWGBfowIsiHIQE+mByYQVtXJBoKIRqsnMKcCss1Gg0GrYErYq6o5x4JIZo7o1bLsEAfhgX68FqHaLZk5vJ/6Vm8euQMDyUeY6C/NxNbhNDHz6ve+yZJnRCiwRrw9YAqL2uEeoRybdtreTDuQbQa1307FkI0Xz19Penp68nU1uEcNRfwf2mZJBcWu6QvktQJIRqsmYNm8s6Wd7i27bV0DeoKwM60nfzv0P+4r9t9nMs/x6e7P8WgNXBvt3td3FshRHPX0mTk/mjXLQwuSZ0QosH638H/8WTvJ7mq5VW2siHRQ2jn345v933L/BHzCfcMZ+6OuZLUCSHqRYdVOyvcz0aDemm2pcnAzeEB3BoeWN9dQ65XCCEarG2p2+gU0KlceaeATmxP3Q5Aj5AenMk9U99dE0I0U5NbhqLVqJMjnmwVxpOtwhgW6INGA3dFBtHGw8h/9p/ki9Pp9d43GakTQjRYYZ5hLD2wlEm9JtmVLz2wlDDPMAAyCzJlQWIhRL3ZkJnLlFbhjI8Msiv//FQaK89ls6BLKzp5mZh/MpXbI+p3tE6SOiFEg/VEryd4YuUTrD61mi5BXQDYnbabI5lHeHPImwDsStvFiFYjXNlNIUQz8tfZbJ5rHVGufLC/N/GHTgPqKN5Lh5Lqu2uS1AkhGq6hLYby43U/smTfEo5mHQVgUOQgZl8+m0ivSABu7nizC3sohGhu/N10/Jaeyf0e9hMifkvPxN9NB0CexYqXW/3f4SZJnRCiwSqyFhHpFcnjvR4vd+xc/jn83f3rv1NCiGZtUsswpuw/wZpzOfTwUXc32Zadx5/pWcxqr25duPJsNv1dsE6dTJQQQjRYT698GkVRypWnmdO4+//udkGPhBDN3e0RgXzXvS0eOi3LUjNZlpqJSavlux7tuK3kHroHW4Qwt3PLeu+bjNQJIRqspNwkpv0zjRcHvmgrS81L5Z7f7qGtX1sX9kwI0Zz18fOqcMcIs8Xq0m3CZKROCNFgfTDsA7albmPWxlkApOSlcPf/3U07v3a8ftnrLu6dEKI5enb/yQrLcy0Wxu44XM+9sScjdUKIBivAPYC5V85l3C/jAPj75N90CujEK4NfkW3BhBAu8Ud6Fr5Hkni6VbitLLfYwm0uTuhARuqEEA1cmGcYc6+cy8+Hf6ZLUBdmXToLnVbn6m4JIZqpRd3b8OXpdOaeSAEgp9jCzdsPoQG+imvt0r7JSJ0QokEZ8PUANBVswpNfnM/KEysZ9M0gW9maW9fUZ9eEEIKWJiNfx7VhzNaDaDUavks+h0Gr4YturfHUufYLpyR1QogGZUrvKa7ughBCVCnWy8TCbq25afshenp7sLBba5dOkDhPkjohRINybdtrXd0FIUQjZlEUXj9yhm+Tz5FaWESoQc/N4QFMiglFoyl/FcARwzbuq+D6ARg1GpILixi15YCt7PfeHWrZ84snSZ0QokHJK8rDQ+9RZ/WFEE3be8dS+Ox0GrM7tqCDpzvbs808vvc4Pm46JkQF16rNq4J8ndzLuiFJnRCiQbnmu2sY22ks17a5lmCPigOwoiisTVrL54mfc0noJUzoOqGeeymEaKg2ZuUyIsiXK0sSsRYmI9+nnGNrVl6t23yyVZizulenJKkTQjQoH4/4mHe2vMOH2z6kQ0AHYgNjCfEIwagzklmQyeHMw2xP3Y5Oo2NC1wnc2P5GV3dZCFFPsrOzycrKsj03Go0YjUa7Or19PFmYlMahvHzaeLizO8fM+oxcpreNqPV5FUWp9aXb+iRJnRCiQWnl24q3hr5FUk4Svx37jc3Jm9meup384nz83f3pGNCR+P7xDIocJEubCNHMxMbG2j2fNm0a8fHxdmWPxoSQbbEwaP1edBqwKDC1dThjwgJqfd5LN+zliZZhXB3si0Fb+YSIw3kFzDmRQrS7gUdjQmt9vtqSpE4I0SCFe4UzvvN4xnce7+quCCEaiMTERCIjI23Py47SAfwvJYOlyef4MDaGDp7u7Mox88KBU7YJE7XxcrsoZhw+zX/2n+TSAG/ivD0IM7hh1GrJLLawPzef9Zm57MvN5+6oIMZHBtX6PV4MSeqEEEII0Sh4e3vj4+NTZZ0XD53mkRYhjA71B6CTl4mT+YW8ezy51knd4ABvfgvowPqMHH5IyWBp8llO5heRb7USoHeji5eJG8P8GRPqj5/edamVJHVCCCGEaDLMFivaMve/6TQarMrFt93Xz4u+fl4X31AdcflKeUXJyZx66mn29+3H3rjuHB45CvPOXbbjiqKQ+s477B88mL1x3Tl2110UHj1q14YlI4NTTz7Fvl6XsK93H04/+yzW3Nx6fidCCGFP4psQ9e/KIB9mH0vm97RMjpsLWJaawZwTKfwruHEsS3IxXJrUWTIzOXbrbWjc3IieN5fWP/9EyJQp6HwvDK2mz5/P2YVfEB4fT8vFi9CaPDg+4V6sBQW2OqeeepqCgwdp8fECoud8SN6mTSS9MM0Vb0kIIQCJb0K4ysvtovh3sK96/9uGvUw/eJpxEUFMaSTLklwMl15+TZ8/H7fwcCISXraVGaKibH9XFIWzn39O0AMP4H3FFQBEvPoKBwYOIvuPP/C95hoKDh0id9UqWi5ZgqlrFwDCnnuOE/fdT8jTT6MPDanfNyVEI7Bo7yIW7V/E6ZzTALTxa8MD3R5gcNRgAAosBby28TV+PforhZZCBkYM5Nl+zxJkunDzb1JOEjPWzWDjmY146D0Y1WYUj/V8DDfthbCy8cxGXtv4GgczDhLmGcZ93e5jdNvR9fpeXUXimxCu4eWmY0a7KGa0i6q+chPj0pG67OV/YerSmZOPPc7+AQM5fN31nFu82Ha86ORJLKlpeA7obyvTeXtj6tYN87btAJi3bUPr42MLeACe/fuDVot5x/YKz1tQUEBWVpbtkZ2dXUfvUIiGKdQzlMd7Ps6ify/im2u+oW9YXyb+NZGD5w4CMGvDLFaeXMkbl73BJ1d9Qoo5hUl/TbK93mK18NCfD1FkLWLh1QuZOXAmPxz8gfe3vW+rczL7JA//+TC9w3rz7chvub3T7cT/E8+aU2tq1NfNyZv5z6r/MHbZWJJzkwH48dCPbEne4oRPou5IfBNC1LdaJXVKURFFSUkUHD6CJSOj1icvOnGCc19/gyEmhhbz5+F/yy0kv/QyGd99D0BxahoAusBAu9fpgoIoTku11XELsJ/NonFzQ+friyUtrcLzJiQk4Ovra3uUXfdGiKZuSPQQLo26lBifGFr6tmRiz4l4uHmwI20H2YXZLD24lKcueYq+4X3pHNiZGQNnsC11G9tT1UTin9P/cDjzMAmDE+gY0JHBUYN5pMcjfLP3G4osRQAs3r+YSK9Inur9FK39WnNbp9u4MuZKFiYudLifvx/7nQd+fwB3nTt70/dSaC0EILswm3k75zn/g0HimxCi8XL48qslJ5esH/9H1s/LMO/ciVJUBIoCGg1uYaF4DRyI3003Yera1eGTK4qCqXNnQiarIwDusbEUHDhAxjff4Hfd6Bq/GUdNnTqVyZMn256fOnVKAp9oEhxZbb0si9XCb8d+w1xsJi44jsT0RIqtxfSL6Ger09q3NeGe4WxP2U5ccBzbU7fTzq+d3eXYAREDmLFuBgczDtIpsBPbU7bTL7yf3bkGRAxg1sZZDr+fuTvm8nz/5xnVZhS/HPnFVt4jpAdzd8x1uJ3qSHwTQtTEUXMB3ySd5ai5gBntIgk26PkzPYtIdz0dPU0u65dDSV36J5+SPmcO+hYt8Bo6hMD778ctJAStuxFLZiYFBw6Qt2kzx++ZgKlbN8KeexZDy5bVnzw4CEPbNnZlxjatyf7tN9txAEt6OvqQC/eOWNLSMHbqZKtTfPasXRtKcTGWzEx0QRUv/lf2F13pX4JCNGaOrLZ+3v5z+7l92e0UWgrxcPPg7aFv08avDXvP7kWv1eNjsF8LKtA9kLR8dXQozZxGoMl+hOn88zSzWic9P73COjlFOeQX5+Pu5l7t+zmaeZReob3KlXsZvMgudM5lRYlvQoia+OdcDmN3HKK3ryfrMnKZ2jocgMQcM18lpbOgSyuX9c2hpC5/505ivliIsV27Co+bunXDb8wYrIWFZC5dSt7mzQ4FPY8ePSk8ctSurPDoUfQR6v5s+qgodMFB5K5dh3tJkLPk5GDesQO/W29Rz929O9asLMy7dmPq0hmA3HXrwWrF1C3OkbcnRJPhyGrr57XyacW3I78luyib34/+znOrn+OTqz6pj246LNAUyPGs40R6RdqVb03ZSpS3c26ClvgmhKiJlw6fZkqrcB5oEUKbv3fYygf6e/HxqYpvi6gvDiV1kW++4VBjWoMB/1tucfjkAXeO5+itt5E25yN8/nUV5h07Obd4CeEvTgdAo9EQMG4caXPmYGgZgz4yitR33sEtJATvYcMAMLZpg+fgwSS98Dzh8fEoxcUkz5iBz9VXy8ww0ew4str6eXqdnhY+LQDoHNiZXem7+GLPF1zV8iqKrEVkFWbZjdal56cT5K6ODgWZgtiVtsuuvXRzuu0YqCN758tK1/HSezk0SgdwQ/sbeHXDq7w48EU0Gg2pealsT93OG5ve4L5u9znURnUkvgkhamJPbj4fxJZf8y5I78bZomIX9OgCly5pYuralah33yH1zbdI++AD9FFRhE79D74jR9rqBE6YgGI2k/TCNKxZWZh69SR63ly0pUYgIl+bxZkZMzl+512g1eI9fDhhzz7jirckRKOlKAqFlkJiA2Nx07qxPmk9V8ZcCcCRzCMk5SYRF6KODsUFxzFv5zzSzRcusa5NWouX3os2fuolx7iQOFadXGV3jrVJa4kLdnyE6Z4u92BVrEz4bQL5xfnc+eudGHQGxncez9hOY53xtuuMxDchmiZfNx0phcXEmOyvhOzKMRNm0LuoV6oaJ3XWvDzS5s0jb+069V4Pq9XueNs/fq9Re95Dh+I9dGilxzUaDcETJxI8cWKldXR+fkS+8XqNzitEc/b25rcZFDmIcK9wcotyWXZ4GRvPbGTOlXPwNnhzfdvreW3ja/gafPE0eJKwPoG44DhbQjYgYgCtfVvzzOpnmNxrMmnmNN7b+h63dLwFg84AwE3tb+Kbvd/w5qY3Gd1uNBuSNvDb0d94/4r3q+qaHY1Gw33d7uOuzndxPPs4eUV5tPFrg4feo04+F4lvQojqXBvix8xDp5nXuSUawKrAhowcph88zY1htdtb1llqnNQlPfc8eRs34nvtKNyCg6HM/mpCiIbvbP5Znl39LKnmVLwN3rTzb8ecK+cwIGIAAE/3eRrNRg2TVkyiyFrEgIgBPNfvOdvrdVod71/xPjPWzeD2ZbdjcjMxqs0oHu7+sK1OlHcU71/xPrM2zuKLPV8Q6hFK/IB4BkYOrHF/9Tq9bQSwLkl8E0JU55nW4Uzdf5Kea3djUeDSDXuxKArXh/ozqWWoS/tW46QuZ9Uqoj+ag0fPnnXRHyFEPXhx4ItVHjfqjDzX7zm7RK6sCK8IPhz2YZXt9A7rzZKRS2rVR4C8ojwW7FrA+qT1nM0/i1WxHzn7dcyvtW67IhLfhBDVMWi1vNGxBZNahrE3N59ci4WuXh609qh6+aj6UOOkTufjg8636W+KK4Rwvfh/4tmUvIl/t/k3waZgNNTtyJnENyGEo6LcDUS5G1zdDTs1TuqCH5tI6jvvEvFKAlqT6xbYE0I0fatPreb9Ye/TI6RHvZxP4psQojoWRWFR0llWncsmragYq2J//L892rqmYziY1B2+7npKf0EuOnacAwMHoY+MBL19E62XLnVqB0XDpSgKitlc6XGNyYRG7kkSF8HH6IOvoW5HziS+iYpIfBOVee7AKRadOcuwQB86errX+RWEmnAoqfO+4oq67odoZBRF4dhtYzFv3VppHVPPnsR8+YUEPlFrD3d/mPe2vcdLg17C5FY3I2cS30RZEt9EVX5IOcfczi0ZFujYmqD1yaGkLviRh6uvJJoVxWyuMuABmLdsQTGb0XjUzfIToun7PPFzTmSfYMiiIUR4RaDX2q8BtXjk4os+h8Q3UZbEN1EVvUZDK1PDupfuPIfvqTs95T949O+HZ58+tm1uhABot2a13f1HVrOZAwMHubBHoqm4PPryejmPxDdRGYlvoqwHokOYdzKNhHaRDW6k1uGkruj0ac5Mi0cpKkIfGYlH3z549u2LR9++dptRi+ZHazKhlW+rog482P3BejmPxDdRGYlvoqwNmbmsychmeXoWHTzd0ZdJ7D7u2spFPatBUhez8HOshYWYt2wlb8MG8jZsIOl/P6IUF2OIiVGDYL9++Fx1VV32VwghnE7imxDCUT5uOv4V5OfqblSoRkuaaA0GPPv1xbNfXwCsBQWYt24l5+9VZCxeTMbiJRL0hBAXZeDXA/npup/wd/dnwNcDqpxZtubWNU47r8Q3IYQjZndq4eouVKrG69QBKIWF5G3bRt6GjeStX495xw7cQkLwHj7c2f0TQjQzT/d+Gk+9JwBTek+p9/NLfBNCNFYOJ3V5GzeSu2EDees3YN6xA314OB69e+N3001EvDYLfVhYXfZTCNFMXNv22gr/XpckvgkhqnLlxn0s6d4GP70bwzbuq3Jlut97d6i3fpXlcFJ3bNx49OHhBN47gcg338AtKKgu+yWEaKZyCnMcrutl8HLKOSW+CdG0JBUUMvNQEsvTszBbrbQ0GXm7Ywu6+9Ru0suIIF8MWi0AVwU13K0EHU7qAifcQ+6GDSS/nMC5r7/Bo3dvPPr0waNPb9z8/euyj0KIZmTA1wOqXSZAURQ0Gg3bx213yjklvgnRdGQUFTNyywEG+nnzZVxrAvVuHDEX4KfX1brNJ1uFVfj3hsbhpC7kiScAsObmkrd5M3kbNpC+YAGnnnwSY8uYkiDYF5+rRtRZZ4UQTd+CEQvq/ZwS34RoOt47nkKk0WA3oSHGZHT6ebZl5XEgLx+A9p7uxHm7fumbGk+U0Hp64nXppXhdeikAlowM0j/9lHNffMm5bxbhc9Vup3dSCNF89A7r7bJzS3wTomHLzs4mKyvL9txoNGI02ids/5eWydAAHybsOsLajFzCjXrujAzi9ohAp/ThdH4hDyYeY0NmLr5u6uhfZrGF3r6ezImNIcLddbtN1DipU6xW8nfuVG8q3rAR85YtWPPy0IeH433llXXRRyFEM7Y5eTNL9i/hZPZJ3rjsDUI9Q/nx0I9EekXSM7SnU88l8U2Ihi02Ntbu+bRp04iPj7crO55fyGen07g/KpjHYkLZlp3HcwdOotdouDk84KL78MS+ExQpCqv6dqSthzsAB/PyeXzPcZ7Yd4Kv49pc9Dlqy+GkLn3+fHI3bMC8ZSvW3FzcQkPx6NOb0Gem4tG3L4aoqLrspxCiGfr92O88s+oZrml9DXvS91BoLQQguzCbeTvn8WHoh045j8Q3IRqHxMREIiMjbc/LjtIBWBWI8zbxTBt1y7+u3h7szcnn89NpTknq1mbk8GPPdraEDqCthzsvtY9i9JYDF93+xXA4qTv72ed49OlDyNNP4dm3L4aYmLrslxBCMHfHXJ7v/zyj2ozilyO/2Mp7hPRg7o65TjuPxDchGgdvb298fHyqrBNicKO9p7tdWTtPd35OzXRKHyKMBooUpVy5RVEINeqdco7acjipa7fq77rshxBClHM08yi9QnuVK/cyeJFdmO2080h8E6Lp6OPryaG8Aruyw3kFRLk7J+F6oU0Ez+4/RUL7KNsSKduy8nj+wCmmlYwOuorDSV3R6dMO1dNHuPYNCSGajkBTIMezjhPpFWlXvjVlK1HezrskKvFNiKbjvugQRm7Zz+yjyYwK8WNrdh4LT6fzeofax4wOq3baLTicZ7Fy9eb9uJUsv1SsKLhpNEzae4J/Bftd3Bu4CA4ndQeHlbpJ+PywY+m1pBQFNBo6JcrsMCGEc9zQ/gZe3fAqLw58EY1GQ2peKttTt/PGpje4r9t9TjuPxDchmo4ePh583KUVLx9O4s1jZ2jhbmBGu0jGhNX+froX20ZWX6kBcHz2q0aDPjQU3+uuw2voUDRutV/ETwghHHFPl3uwKlYm/DaB/OJ87vz1Tgw6A+M7j2dsp7HOO5HENyGalOFBvgx34s4P5ydYFFsVlqacY2iAN8EG194/VxHH76lb8RcZ339P5tLvOLdoEb4jR+J3wxiMbVw3dVcI0bRpNBru63Yfd3W+i+PZx8kryqONXxs89M5d5FPimxDCEW5aDVP2neDvvp1c3ZUKaR2t6BYcTNC999Lml2VEzX4bS1YmR2+6mSM338y5xYtRrNa67KcQohnT6/R46j0J9gh2ekIHEt+EEI7r7uPBruw8V3ejQjVefBjAo1cvPHr1onjSJE498SRn4qfjM3w4Oj8/J3dPCNGcFVuL+XD7h3y15yvyitUg6uHmwa0db+XB7g+i1zr/8ofENyFEVe6MDCL+4GlOFxQR5+2Bh85+fCzWy+SintUyqcvbspWMpf8l+9f/w9CqFWEvPI+2mnVjhBCiphLWJ/DH8T+Y1GsSccFxAGxP3c6H2z8ksyCT5/s/7/RzSnwTQlTlgd3HAHjuwClbmQZQSv48PbS7K7oF1GRJk5QUMn/4gcyl32HJysL33/8m5qsvcW/f3ikdSZs7j9Q338R/3B2EPfMMANaCAlJefZWsn5dhLSrCa+BAwqa9gFtQ0IV+nT5N0vTp5K3fgNbDA9/RowmZPAmNW63yVSFEA7LsyDJmXTqLwVGDbWUdAjoQ5hnGlL+nOC2pq+v4BhLjhGgqNvSPrb6Sizi+pMnlV6APCcF39Gi8Lr8cjd4NFIX8ffvs6rl36FDjTph37iRj0SKMZV6bnJBAzsq/iZz9Nlovb5JnzODkoxNp+fVXACgWCyfufwC34CBafv0VxampnJ7yHzRuboRMnlTjfgghGhaDzlBujTqAKK8op156rcv4BhLjhGhKot0Nru5CpRz/qmexUJSURNqHH5I2Z45aVnabjFqs42TNzeX0k08RPuNF0j6cc+F02dlk/Hcpka+9hme/fgCEJ7zM4auvwbxtG6bu3clds4aCQ4do8cnH6jfbTp0IfmwiKa+/QfAjD6MxNNwPXghRvVs63sKcHXOYOXAmBp3681xoKWTuzrnc2vFW552ojuIbSIwToqlZfOZslcdvuoj18C6Ww0ld2z9+r5MOnHlxBl5DLsNzwAC7gJe/ezcUFeE5oL+tzNi6NW4R4eSVBDzztm0Y27e3u1ThOWgQ1vjpFBw8iHtswx0iFUJUb2/6XtafWc+wJcNoH6BeCt1/dj9F1iL6hvfl8b8et9V9e+jbtT5PXcU3kBgnRFPzfKl76QCKFAWzxYpBq8Gk1TaOpC533Tq8Lr8cN39/p5088+efyU9MpOW3S8odK05NQ6PXoytzg7JbYBCWtDRbHbfAwDLH1efFJXUqUlBQQEHBhX3hsrOdt4ekEMJ5vA3eDGsxzK4szCPM6eepi/gGrolxEt+EqFv7BnctV3Y4r4Ap+0/wUHSIC3p0gcNJXeb/fuTM9Bdxj43F64rL8b788otamLMoKYnklxNo8fECtEZjrdupjYSEBKZPn16v5xSiIZm/cz5/HPuDI5lHcHdzJy44jkm9JtHKt5WtToGlgNc2vsavR3+l0FLIwIiBPNvvWYJMF0aNknKSmLFuBhvPbMRD78GoNqN4rOdjuGkvhJaNZzby2sbXOJhxkDDPMO7rdh+j2452qJ8zB8102nuuirPjG7guxkl8E6L+tfYw8mzrCB7Zc4zVga6bLe/w4sMxn31Ku1V/43/breTvTuToTTdzcMQIkl95lbyNG2u8OGf+7t1Y0tM5cv0Y9nTuwp7OXcjbuJFzC79gT+cuuAUFohQVYcnKsntdcXoaupJLEW7BQRSnp5c5rj4vfbmirKlTp5KZmWl7JCYm1qjvQjR2m85s4paOt/Dl1V8y98q5FFuLuf/3+8krurCg5qwNs1h5ciVvXPYGn1z1CSnmFCb9deHmfIvVwkN/PkSRtYiFVy9k5sCZ/HDwB97f9r6tzsnskzz858P0DuvNtyO/5fZOtxP/TzxrTq2p1/dbHWfHN3BdjJP4JoRruGngTEGRa/tQk8o6X198R43Cd9QolMJCctevJ3v5ck499TRKfj5el12K19DL8bp0MFqPqld99+jXn1b/+8GuLOmZZzG0bkXghAnow8NBryd37Tp8RgwHoODwEYpPJ+HRvTsApu7dSZvzEcXp6bZLErlr/kHr5YWhbdtKz200GjGW+uacVSaoCtHUzblyjt3zmYNmctmiy0hMT+SSsEvILsxm6cGlvDr4VfqG9wVgxsAZXPv9tWxP3U5ccBz/nP6Hw5mHmTd8HkGmIDoGdOSRHo/w1ua3eCjuIfQ6PYv3LybSK5Knej8FQGu/1mxN2crCxIUMjBxYYd9u+vEm5g2fh6/Rlxt/vBENmkrfx+KRi530iTg3voHrYpzENyHq1v+lZdo9VxRILizi41Np9Pb1dFGvVLVe6EhjMOA1eDBegwfDtGmYd+4i56/lpH34IQWHDxH80ENVvl7n5YmuzBpQWpMJnZ+fbW0ovzHXk/zqK+h8fdF6eZE8cyam7t0xlQQ8z4EDMbZpw+mnpxDy1JMUp6aROns2/rfdhlZmhYlmKDs72+6XeNlf8JXJKcwBwNeoboCdmJ5IsbWYfhH9bHVa+7Ym3DOc7SlqUrc9dTvt/NrZXY4dEDGAGetmcDDjIJ0CO7E9ZTv9wvvZnWtAxABmbZxVaV+GRg+1zXS9PPpyB961811sfAOJcUI0VXfuPGL3XAMEGtwY5OdFfNvySzDVJ6etXmnq2gVT1y4ET5yIUuSc4cfQqVPRaLWcfOwxlMJCvAYNJOyFF2zHNTod0XM+JGn6dI7ecitakwnf0aMJnvioU84vRGMTW2Y25LRp04iPj6/yNVbFyqsbX6VHSA/a+bcDIM2chl6rx8dgf29IoHsgaflptjqBJvub+M8/TzOrddLz0yusk1OUQ35xPu5u7uX682D3Byv8uyvVRXwDiXFCNEZJLtwxojo1SuqU4mKwWu3WRjq3ZAnmTZtx79IF/9vHotFo0OhrtyhozMLP7Z5rjUbCXnjBLsiVpY+MpMXcubU6nxBNTWJiIpGRF74pOjJK99K6lzh47iCf/euzuuzaRdmdtpvDmYcB9RJu58DOTj9HXcc3kBgnRFPwxpEzPNgipNyer2aLlQ+Op/BEK+fP0HeUwxMlAE499RSp775ne37um0Ukv5yA1Wwm7YMPSH3zLad3UAjhOG9vb3x8fGyP6pK6l9a9xMqTK1kwYgFhnhcCUZApiCJrEVmF9vdjpeenE+QeZKuTbra/if/88/OXZAPdAyus46X3qnCUrqwzuWcY/8t4bv35Vl7Z8AqvbHiFW3+6lXG/jONM7plqX18TEt+EEI544+gZci2WcuVmq5U3jjo3LtVUjZK6/MREPAcPsj0/t3gRoVP/Q9Q7s4l8+20yf/7J6R0UQjifoii8tO4llh9fzoIRC4jyjrI7HhsYi5vWjfVJ621lRzKPkJSbRFxIHABxwXEcyDhgl7StTVqLl96LNn7qciBxIXGsS1pn1/bapLXEBcc51M/4f+Ipthbzw+gfWHPrGtbcuoYfRv+AVbES/098bd56pSS+CSEcoUCFE7gSc8z46XX136FSHLr8enqquvl08Zlkzi38gszvfwBFoWDvPnJXrcK8bTtYiilOSeX0M88CEPHyS3XXayHERXlp/UssO7yM2ZfPxlPvabsH7vwImrfBm+vbXs9rG1/D1+CLp8GThPUJxAXH2RKyAREDaO3bmmdWP8PkXpNJM6fx3tb3uKXjLbaJDje1v4lv9n7Dm5veZHS70WxI2sBvR3/j/Sver7RvpW1K3sTCfy20Wz+vlW8rpvadyp2/3OmUz0LimxDCER1W7USDOjFi4Po9dmmdRVHItVgZF1n5cmr1waGkLiLhZQBy168jYPw4PC65hOwVKzBv2ULUu+8C6j6G2X8ul2An7FjN5grLNSYTGk3lS1WIurVo3yIA7v6/u+3KZwycYVsY+Ok+T6PZqGHSikkUWYsYEDGA5/o9Z6ur0+p4/4r3mbHu/9u78/CmyrTx498kbdp03/eWAoVCWdqC7OqgoKDvqCDyouKA4zoKKAIzgsqmSBXHmUFhBEZZBXFEUETk/SkIArIjuyA7Am3pQvd0S87vj0IgdCGlaZIm9+e6ekHOeXLOndP27n3Oec7zvMUTa59A56bjwZYPMiJlhKlNjG8Ms/vMZsauGXz666eEe4UzpeeUWoczuVGEdwSVxspqy41GI6FeofX92DWS/CZuleQ31/JmQjQKCq8c/Z2/No/AV3PtqpxWrSLWU8ttTWlIE+8uXUmfNBn/hx4if+VKfO+/z7Su7OhRtM2aWT1A0bQd73V7jct1nTrRbOmnkvjs5ODwgzdt46Hx4I3ub5gVcjeK8onio74f1bmdLhFd+OKB6tNkWWJM5zGk7Uzj9W6v0y6k6uGIw9mHeWfXO4y9bewtbbM2kt9EfUl+cy1DIqvmdI3z9KCrvzduasf7/tarqAsb/yqZaWkUrFmDV/fuhDz/vGld4Q/r8X/wAasHKJoelU6HrlMn9Hv31tpGv3cvil6PyoJBXIXremPrG5RWlvL42sfRqKrOig2KAY1Kw6Stk5i09dpTo1sfa9gsFZLfhCUkv4megT72DqFW9Srq3AIDiZ5R86Ch4RPGWyUg0fSpVCqaLf0UpYZbE0a9vtazWyFu9GqXV222L8lvwhKS35qeD89m8vapdJ6NCeGtVjE3f0MTZrXBh4W4nkqlkrNU0WAPJTxk7xCEqEbyW9PxS0EJiy/mkOR98yGUnIFFQ5qkT55CRYZlY68UrF1L/jffNCgoIWxFURSMJSW1fimKYu8QRSOT/Caclavnt+JKAyOOnOX9xFj87TzUiK1YdKVOExTIqT8+gK5TKr533YVn+/a4hYWh0moxFhRQdvIkJXv2ULD2O9zCQol8883GjluIBlMUhbOPD0X/yy+1tpEOz85P8ptwRs6a3+ozv/X44+fpG+zHnUG+/PNs4wwKfLG0HIAoT8eYi9mioi7s5ZcJGjqUvBUruLzsM8pOnjRbr/b2xrtHDyLfnFo1AbYQTYCi19eZ8EA6PLsCyW/CGTlrfrN0fuuvMi9zsFDPus6trR6DUVH455lM5vx+iWKDEQAfNzV/iQ1jdLNw1HYski3uU+cWEkLIX/5CyF/+giE/n4r0dJTSUjSBgbjHxTWpSl+IG7XaugW1Tmd6LR2eXYvkN+HMnCm/WTK/9YXSct44foH/prTEU1OvibMsknYqnWXpubzeMoquV8al25FfzN9PZ1BmVJjQItLq+7TULT0oofH3R+Pvb+1YhLAbtU6Hugmdrbqiq3O9Xj9HbWOQ/CacjTPlt6vzW9flQGEJ2RWV3LP7mGmZQYHtecXMv5DNuT8ko2nAidp/M3L5R5tY+oVcyxNJPjoite6M/+180yvqhBDCFoyKkbkH5rL48GJKKksA8HbzZli7YTzX8TnUKuufhQshmrY7An35sUui2bLRR8/RysuTEXFhDSroAPIqDSR4Vb9CmODtQV5l9RlwbEmKOiGEw/pg7wesOrGK0Z1GkxKWAsAvl37ho/0fUW4o56VOL9k3QCGEw/Fx09DWR2e2zEujJtC9+vJbkeStY/75bN5ubT7m3fzz2SRZYfsNIUWdEMJhrT65mik9pnBX3F2mZYlBiYR5hfH29relqBNC2NzEllE8cfAUP10uNM31uju/mItlFSzt2MKusUlRJ4RwWPll+TT3b15teXP/5uSX59shIiFEU7QqtZXVttUz0Iefu7VlwYVsTpSUAvA/oQE8GR1ChIe71fZzK+pV1On37aPwx40oFRV49+guj/cLIRpVYlAinx39jAndJpgt/+zoZyQGJtbyrlsj+U0IYYnzpeVEe7jX+EDE+dJyYuw4Zp3FRV3Buv/jwpgxqDw9Ubm5kbtwIWFjxxL89FONGZ8QwoW90vkVRqwfwfb07SSHJgOwP2s/GcUZ/Lvvv622H8lvQghLdd12hP292hGqNb8ql1tRSddtR7h4V4p9AsPCacIAcubNI2DwYBJ37SRx5w5CX36Z7HnzGjM2IYSL6xLRhTUD19Anrg+F5YUUlhfSJ64P3wz8hs7hna22H8lvQghLKYCK6k/QFhuMeKjt+0S+xVfqys6cIfqf/0ClqZo/LfjPT5L14YdU5uTgFhzcaAEKIVxXelE6Ed4RNT4QkV6UTqSPdcaDkvwmhLiZyccvAKACZpxOR3ddAWdAYW9BCe2bytOvil6P2sfH9Fql1aLWajGWlIAkPatSFAVFr691vUqnkxHuhUvov7I/GwZvIFhnnmPySvPov7I/+4ftt8p+JL/ZjuQ30VQdLKr6uVWAX4tKcVdf+znVqlS089HxQmyYnaKrUq8HJfK+WGE2KrViMJC/ahWagEDTsqBhf7JedC7IWSdhFuJWKIpS4895SWUJHpqaJ/G+VZLfGp/kN9GUrUxNAODlX88xrVU0vm4aO0dUncVFnXtkJHlffGH+5pAQ8r9efW2BSiVJr4GcdRJmIepjxq4ZAKhUKmb9MgtPN0/TOqNi5GDWQas+/Sr5zTYkvwlnMLNtnL1DqJXFRV3ChvWNGYeogTNNwixEfRzNPQpUXdk5fvk47pprT5m5q91pHdSaJ9s9abX9SX6zPclvQlifDD7swJxpEmYh6mN+v/kAvLHlDcZ3HY+P1ucm7xBNjeQ3IazP4qIu76uvLGoXMGDALYYihBDmpt0+zSb7kfwmhHAGFhd16RNeqzqrcnMDRam5kUolSU8I0eRIfhNCOAOLizptyxYYsnPwe/ABAgYNwjOx4Z2Us+fOo/D77yk/dQqVpye61FTCxo7Fo8W1uR6NZWVcevddCr5di7GiAp9evYiYPAm3kBBTm4qLF0mfOpWSHTtRe3nhP2AAYWNeQeUmd5eFEDcn+U0IUR+nSsrYmldIdnklxhvOA8c2j7BPUNRjRomWa9YQO3cOSmkZZ5/4E6cHPcLlzz7DUFR0yzsv2bWLwMcfJ/7z5cTN/wSlsoJzzzxdNTbUFZlpaRT+uJHomf+i2eLFVF66xPlR1wYiVQwGfn/+L1BRQfxny4h6J438VavI+uDDW45LCOFaJL8JISz16cUc7tj5KzNOZ7AmK4/vsvNNX+uy8+0aW71O9XTJyeiSkwl/bQIF69aRv3IVmTPew7dPHyKnv41aW79JbOM+/o/Z66i0NI737EXp4cN4demCobCQvC9XEv3ee3h37w5AZNp0Tt3/P+j37UOXkkLx1q2UnTxJ3IL5VWe3bdsS+vJLXPr7+4SOHIGqnjEJIVyT5DchhCX+eSaD8c0jGdUs3N6hVHNLk5SpPT0JGDCA0FEj0XXoQMHatXWOEG4pY2Fh1fb9/QEoPXwYKirw7tnD1MajRQvcoiIp2bcPAP2+fXi0bm12u8L79tsxFhVRduJEg2MSQtjX2YKzfPHbF8zdP5eP9n9k9tUYJL8JIeqSX2ngwbAAe4dRo3p3yqjIzCR/1VfkrVqJUqLH78EHiJgyGc2VRHWrFKORzOlp6Dp1wrN1awAqs7JRubuj8fMzDzo4BEN2tqnNjXMzXn1deaXNjcrKyigrKzO9LrySbIUQjmXFbyuYtn0aAR4BhOhCzGYZUKHiheQXrLo/yW9CiJt5ICyAjbmFDI+27qw21mBxUVfw3XfkrVxFya5deN/ei/BXX8XnD38wTYDdUBlvvknZ8eM0W7bUKturS1paGlOnTm30/QghGmbegXmMSh3F0x2ebtT9SH4TQliquc6Dd0+ns6egmLbeOrM5YAGeiQm1U2T1KOoujBmLe2QkQcOH4xYcTMX5C1xeuqxau1uZRifjzbco2riJZp8uwT3i2lMjbqEhKBUVGAoKzM5mK3Oy0Vy5HeEWGoL+4EGz7VXm5FStu+6WxfUmTJjAmDFjrn22CxdISkqqd9xCiMZVUF7AvfH3Nvp+JL8JISy15GIO3hoN2/KK2ZZXbLZORRMp6twjI0GlomDNmtob1XNuREVRyHxrGoU//ECzxYvQxsSYrfds1w7c3Sneth2/flWJvezUaSovpuOVkgKALiWF7DlzqczJMd2WKN76M2ofH7QJCTXu18PDAw+Pa5dNCwoKLI5ZCGE79za7l20XtxGbGNuo+5H8JoSw1K4ejnuSZNe5XzPefJOCNd8SM3sWam9vKrOyAFD7+qL29ETj60vAoIfJfPcdNP7+qH18yJw2DV1KCrorSc+7Vy88Wrbk4t9eJeyv46jMyiZr5kwCH3+83k+rCeEqdmfsZuHhhRzJOUKWPot/3fUv+sT1Ma1XFIXZ+2bz5fEvKSwvJCUshYndJ9LMr5mpTX5ZPtN3TGfT+U2oUdO3WV/Gdx2Pl/u1qZ+O5R5j+o7pHMo+RKBnII+3fZyn2j9lcZxxfnHM+mUW+7P20zqwNW5q85Q1tO3QBhyFayS/CSHqq9xo5FxpOfGeHrjdcAvWXqw2emVFRgbZs/9N5FtvWvyevM+WA3Bu2HCz5ZHTpxPw8EAAwidMQKVWc/7ll1HKy/G5vRcRkyaZ2qo0GmLnfET61KmcefQx1Dod/gMGEPrSKCt8KiGck75ST+vA1gxMGMjojaOrrZ9/aD7Lfl3GtNunEe0Tzax9s3j+++f5esDXeGiqrgK9uvlVskuymXfPPCqNlUzcOpEp26Yw484ZABSVF/H898/TPao7E7tP5HjecSZtnYSv1pfBrQdbFOeK31bg5e7Fnsw97MncU229tYq6m5H8JoS4qsRg5PXj5/lvRi4AP3drSzOdB6/9dp5ID3e7DnVitaLOkJdH3pdf1ivptT36603bqD08iJg0ySzR3cg9Opq4efMs3q8Qru6OmDu4I+aOGtcpisKnv37Kcx2f4+64uwGYfvt0en/emw3nNnBf8/s4lXeKrRe2svx/ltMupB0AE7pN4MUfXmTcbeMI8wrj21PfUmGs4K2eb+GucSchMIGjuUdZfHixxUXdukHrrPOBG0jymxBNxwdnM/k2K48TJWV4qtV08ffijZZRJHh5WmX7009d5HCRnpUpCTx24JRp+Z2Bvvz9TIZdi7pbGqdOCOG8zhedJ1ufTfeo7qZlvlpfOoR2YH/WfgD2Z+3HV+trKugAukd2R61SczDroKlN5/DOuGvcTW16RfXiTMEZ8svqN+p6haGC0/mnqTRWNuSjCSFcwLa8Iv4cHcK3nVvx35SWVBhhyL6TFBsMVtn+d1n5pLWKoVuAD9ffdE309uSMvqzW99mCTB4ohBMpLCw06xh/Y6d5S+Toq56uDPY0Hx8t2DOYbH3V2GjZ+uxq693Ubvh7+Ju1ifaNNt+GLti0D3+Pm4/9pq/Uk7YjjdUnVwPwzcBviPWNZfqO6YR5hfFMh2fq9dmEEM7vs+SWZq9nto2j/dZDHCjU0yPAp8Hbz62oJERbvXwqMRqxd886uVInhBNJSkrC39/f9JWWlmbvkBpk5t6ZHLt8jPn95qPVXHswoHtkd/7vzP/ZMTIhRFNRWFl1hS7AzTrjTib7evF9TvWnypdezOE2f2+r7ONWWXyl7vyoujvmGgpk1HIh7O3IkSNER1+7Olbfq3Rw3dW00hxCva6Nt5RTmkOboDYAhOhCyCnNMXtfpbGS/LJ8QnQh19rozduYrgLqzK/y1WbDuQ2894f3SA5NRnXdOXBCQAK/F/5ez09WO8lvQjQN9b0bYVQUJp64QFd/b9r66KwSw4QWkTx+4BS/FZdiUBQ+Pp/Fb8Vl7CooZlVqzUMN2YrFV+rUPr51frlHReH/0EONGasQ4iZ8fX3x8/Mzfd1KURfjE0OILoQd6TtMy4rKiziYdZDk0GQAkkOTKSwv5HDOYVObnek7MSpGOoR2MLXZk7mHCmOFqc229G3E+8VbdOsV4HLpZYI8g6ot11fqzYq8hpL8JkTTUN+7EeN/O8/RYj1zkprV2a4+ugX4sL5LIgZFoY23jo25hYRo3fi2UyuSfb1uvoFGZPGVuqi06Y0ZhxDChkoqSjhXeM70+kLhBY7mHsVf60+kTyRPtH2CuQfmEucbR7RvNLN+mUWoV6jpadgWAS3oFd2LqT9PZWL3iVQqlUzfOZ3+zfsT5hUGwP0t7uej/R8xeetknmr/FCfyTrD016X8tctfLY4zKTiJn87/ZBq65Goh9+XxL00FpjVIfhOiaajP3YgJv53nh5wCVqUmEOVp3XEd43UevN8mzqrbtAZ5UEIIF3Q45zBP/d+1QYDf2/0eAA+2fJC3b3+bp9o/hb5Sz9RtUyksLyQ1PJU5feeYxqgDePeOd3l7x9s88/+eQa2qGnx4QtcJpvW+Wl/m3jOX6TumM2TNEAI8A3i+4/MWD2cC8HKnl3nhhxc4lXcKg2Jg6a9LOZl3kn1Z+1jQf4EVjoQQoim5ejeiLoqi8NrxC3yXlc/K1ASa6ep/x6IuV/vo3UgFaNUqtGr7Pa4gRZ0QLqhLRBcODj9Y63qVSsXI1JGMTB1Zaxt/D3/TQMO1SQxKZNF9i245zk7hnVjxwAo+OfQJrQJa8fPFn2kb3JZP7/+U1oGtb3m7QgjnNf6386y6dJmF7Vvgo1FzqayqC4ivmwadpuEFV+vNB+vs/BHp4c6QyCDGxUegVtn2eVgp6oQQDi3WL5YpPafYOwwhRBOx6GLVA1kP7zthtvxfbWJ5NNKyh7TqMrNtHO+cSmdIRBCpflV96H4pKOG/GbmMjg8np7ySj37PwkOl5uV42w5ELEWdQFEUFL2+1vUqnQ6Vjc82hICqBzRqolKp0Kq1ZgMbC1ETyW+uJ+OulEbd/n/Tc5mcEMVDYYGmZfeG+NPGx5MlF3JYkZpAtKeWmWczpagTtqUoCmcfH4r+l19qbaPr1IlmSz+VxGcF8gemfnp+1rPO4xHuFc5DCQ/xQvILqFUy7KYwJ/nN9lwhx+0uKGZGYmy15R18vNhTUPUAWld/by6Ults6NCnqXJ2i19eZ8AD0e/ei6PWovOz7qHZTJ39g6m/a7dP4YO8HPJTwEB1CqoZKOZh9kNUnV/Ncx+e4XHqZhYcXolVrebbjs3aOVjgayW+25So5LspDy7L0HN5oGWW2fFl6DlEeVU/ZXq4w4O9m+xJLijph0mrrFtS6a4MzGvV6jve63Y4RORf5A1N/q0+sZlyXcfSP729a1ju2N60CW7Hi2Ao+7vcxkd6RzDswT4o6USfJb43PVXLc5IQonj10hg05BaRc6VO3v7CEEyVl/KddPAD7Ckt4KCzA5rFJUSdM1Dod6ib6i9bULvnLHxjL7Mvax8QeE6stbxvUlv1Z+wFIDUslozjD1qGJJkbym205c47rF+LP5m5tWHIxh1MlZQDcHeTHgvbBxF0ZPuXJ6BC7xCZFnWjymuIl/6b8B8aWIrwjWHl8Ja90fsVs+crjK4nwjgAgvywfP23d41YJ0VQ1xfwGzp/jmuk8qt1+dQRS1Ikmz1Uu+buisZ3HMnbTWLZc2EL7kPYAHM4+zOn80/yj9z8AOJR9iH7N+9kzTCEajeQ3x5RfUcmy9FyOl5QCkOjtyWORwfi5aewalxR1wqk48yV/V3RX3F2sHrCaL377grMFZwG4Pfp2Zt49k2ifqqmChrQZYs8QhbAZyW+OYV9BCY/tP4mnRk3qlble5/6excyzmSxPbklHO87/KkWdcCrOfsnfFcX4xlS7/SqEK5L85hgmn7jAvSH+vJ8Yi5u66pZ3pVFhzLFzTDp+ga86tbJbbFLUCWFltXVqNtbR0VnUrqC8gFXHV3Eq/xQALf1bMrDVQHy1vnaOTAjXU9dDG66S4/YXlvD36wo6ADe1ihFx4fTffcyOkUlRJ4RVWdKpWVjucPZhnv/heTw0HqZx6hYfWcx/Dv6HuffMJSk4yc4RCuE6JL9V8dFouFBWTitvT7PlF0vL8dZInzohnIYlnZp1nTqhuq5fjKjdjF0z6B3Tmyk9p+CmrkpXlcZKJv88mXd3vsui+xbZOUIhXIcl+Q2cP8c9FBbAmKO/M6llFF38vQHYlV/MmycvMjA8wK6xSVHXQLc6fpDcomvaLPn+3dip+SpHHFPKUR3OOczknpNNBR2Am9qNp9o/xaNrHrVjZK5B8ptrakh+A+fPcZMTolCp4KVfz1GpKAC4q1UMjwrh9ZaRdo1NiroGuNXxg+QSdtNm6fdPOjU3nLe7NxlFGbTwb2G2PKM4Ay93ObaNSfKba5L8VjeDorCnoIRx8RG81iKKs/qqwYeb6Tzw0th//mkp6m7i+jOWG88+LB0/yJCbW+0xdLlF13TceHVBvn+20z++P5N+nsS428aREpYCwC+XfuH93e9zf/P77RucE5D8JiS/1Y9GpeLR/Sf5qWsbmuncaOvjWMdBirqbUPR6jnXqDEDi3j21Du5Y1/hBdY0j5Mq36Gq7FeNon12+f/Yz7rZxqFQqXtvyGgbFAICbyo3/TfxfGebECiS/NR7Jb84r0duTc/pyml2ZEsyRSFFnJTdeilbpdOg6dUK/d2+t79F16oQmKMimvxw1nZXZS23JxBGmvHHU758rMRgN7M/azwvJL/Byp5f5vfB3AGJ9Y9G5OdbZsbOT/FZ/kt+c1/jmkUw9eZG/GSNI9vWqdtvV146zSkhR10hUKhXNln7qcJMw23v0cUuSiSNMeWPP719df4hc6QxZo9bw/PfP8/WAr4nxjaF1YGt7hySukPxWM8lvlmnqOW7ogaoxM4cfPM31kSqACrh4V4odoqoiRV0jUqlUDjEXn6VnZXX1kbDWGXBdyaSxp7yp72ew1/evrmNQ1y0yZ5QQmMD5ovPE+MbYOxRxA8lvNcQi+c0iTT3HfZmSYO8QauU0RV3u0qXkfjKfyuxsPNq0IeKN19F17GjvsBpNfX6BrXFWZs1k5IjFkr1Z8ofJFY1KHcX7u99nZMpIkoKTqt129dH62Cky23OlHCf5rf4cOb+Bc+W4noGOm3ecoqgrWLuWS++8S8SUKeiSO5K7aDHnnnmWlt+txS042Gr7aQr9NWpzK4nGGmfAt8panYzt+Rnqw5I/TIDd47S1F394EYBRG0ZVGzZDpVKxf9h+e4VmU7bIcZLfqpP8Zj1NPccdKbL89yHJjk/EOkVRl7NwEQGDBxMw6GEAIqZOoWjTJvK+XEnIc89abT/2PhOy9S+wPftdWKuTsb37jtSHo9zOciSf9PvE3iE4BFvkOMlvNcck+c16mnKO67PrGCqu9Zuri/SpawClvJzSw4fNEptKrca7Rw/0+/Y1ePuOdCZkj19gW/4SNlYn46acSFxdl4gu9g7B7hozx0l+k/zmzOafz+Lfv18iq7ySJG8db7eOppOf9y1ta2ePa/NMHyosYerJi7wYG8ZtV6YJ251fzJzfs5goM0o0TOXlPDAY0NxwC0ITEkzZ6dM1vqesrIyysjLT68LCwlq372hnQs78C2zPTsbCcRzLPWZx28SgxEaMxDHUN8dJfnNMkt9s66vMy0w5cZF3E2Po5OfNf37P4rH9p9jSrQ2hWvd6by/WU2v6/7OHzjCtVQx9g/1My5J8dER5aplxKp37QgOs8RFuSZMv6m5FWloaU6dOtbi9MycaRyPHWgz+ZjAqlcrUb64urtKnrj4kvzkuOda2M/f3LIZGBfNYZNXJ0IzEGH7IKWB5ei6jmoU3aNtHi/XEXVfkXRXnqeW3ktIGbbuhmnxR5xYYABoNhpwcs+WG7BzcQkJqfM+ECRMYM2aM6fWFCxdISkqqsa1wPI7UoVtY37pB60z//zX3V97f/T5PtnuS5NBkAPZn7WfxkcUuM6NEfXNcffKboiiUGI1WjVfUn2IwotdWzU5QVFyM2nDte2Is1ZvWlRiMqAwGu8RoK15qdYOvDJcbjRwoKuGlZmGmZWqVijuCfNhdUNzQEGnl5ckHZzP5R5tYtGq1aZ8fnM2klZdng7ffEE2+qFNptXi2a0fxtu349u0LgGI0Urx9O4FDh9b4Hg8PDzw8rk3vUVBQYJNYhXXIbQrnFuUTZfr/2I1jGd91PHfG3GlalhiUSIR3BLN+mUWfuD72CNGm6pvj6pPfSoxGWv500PpBi/qbubDq30MXal+3+4StorGbk3d2wFtT+4wMhYWFZj/TN/68A+RWGDAoVLvNGuruzoniMhrq3cQYhh04TerPR0jyqSrijhSVogIWd2ze4O03RJMv6gCCnxzOxfET8GzfHl3HDuQuWoxRryfg4YH2Dk1YiSN16Ba2czzvODE+1QcejvGJ4VT+KTtEZB+S44SocuNV58mTJzNlyhSbxtDJz5sdPdqyMvOyqUh8KCyQgeEBdRaktuAURZ3f/fdTmXuZrA8/wJCVjUfbtsT9Z16tt19F0+NoHbqFbbTwb8HHBz9mas+puGuqzrorDBV8fPBjWvi3sHN0ttNYOc5LrebknR2sFKVoEEVB0dfeH0ul8wQXyG9eanWd648cOUJ0dLTp9Y1X6QCC3DVoVJBVXmG2PKuigjCPhpc9xQYD3hoNf4pyvBrDKYo6gKAnhhL0RM23W4VzkE7Grmdi94mM3DCSviv60iqwFQDHLx8HYNbds+wZms01Ro5TqVR2v7IgruPruDMVOApfX1/8/PzqbKNVq+no48Xmy0WmJ1GNisKWy0U8Fd3wQqzD1sM8GBrAY5FBdAtwrO+Z0xR1Qoj6++zoZyw8tJBsfTaJQYlM6DqBDqGOc+WmQ2gHvnv4O749/S2n86uG7+gf35/7m9+Pl7sU+EKImj0fG8rLR8+R7OtFqp8X/zmfRYnByKORQQ3e9uy2cXyekcsj+04S66nlscggBkcEEeFR/6FSrE2KOiFc1LrT63hv13tM7D6RjqEdWXJkCc//8DzfDPiGYJ31ptdriJKKErzcvRjcerC9QxFCNCEDwgPJqahkxul0ssoraeej47OOLW5pjLob3RcawH2hAWSXV7IiI5fPM3J593Q6vYP8eCwyiH7B/rip7XOrXIo6IVzU4iOLGdRqEANbVXW2n9RjEpvPb2bViVU80+EZO0dXpfd/e9Mvvh8DEwbSKbyTvcMRQjQhT8eE8nRMaKNtP0Trxl/iwvhLXBgfn8/irZMXWZ9TQJC7G8OighnVLBwvTd19BK1NirqbUBQFfaWMgyYcg87NOg+DVBgqOJJzhKc7PG1aplap6R7Vnf1ZjjOgb9odaXx94mue/n9PE+0TzYCEATzY8kHCvMJu/mYhhGhEWeUVfJ5edaXufGkFf7zSzy69rIJZ5y6xt6CEz1Na2jQmKeoA45XBN9PT06utK60s5cF1D9o6JCFqtLr/ajzdqg9uefVnNz8/36wTcU1jOAFcLruMQTEQ7Gl+mzXYM9jUd80R9InrQ5+4PuSW5vLNyW/4+uTXzP5lNj2jezIwYSC9Y3vjppY0Vpe68psQTcXVn1+jAwyW/W1WHsvTc9mYW0hrbw+ejA7hkfBA/N2v5aIu/t7cseOozWOTbAhkZmYC0LVrVztHIkTdWtGqzvXt27c3e22PMZwaQ5BnEMPbDWd4u+Es/XUp/9j9Dzaf30ygZyCDWw/m6Q5Po3OTMQprIvlNOJPMzEzi4uLsGsPoX88xIDyQ1Z1akepX8wNb4Vp3Xm7gdGS3Qoo6IDU1lQ0bNnD33Xdz5MgRfH197R2SwygsLCQpKUmOyw0c7bgYjUbOnTtHUlISbm7Xfq1rukoHEOgRiEalIafUfOqpnNIch3lI4nrZ+mxWn1zN1ye+Jr04nXvi7+HhhIfJLMlk/qH5HMg6wLx759k7TIck+a12jvZ77Cgc8bgYjUYyMzNJTU21dyjs79X+pn3ldBo145pH2Ciia6SoA9zc3OjcuTMA0dHRNx0Dx5VcnY5Fjos5Rzwu9Tl7dde4kxScxI70HaaptoyKke3p23mszWONFWK9/XD2B7468RVbL26lpX9LhiQO4Y8t/4if9toxTwlN4cGvpYtEbSS/1c4Rf48dgaMeF3tfoSusNNT4/xv5utlv7Ecp6oRwUcOShvH6ltdpF9yODiEdWPLrEvSVegYkDLB3aCYTt06kf/P+LLlvCe1D2tfYJtQrlOc6PGfjyIQQrqb15oPU9ZiaAqiAi3el2CagGkhRJ4SL6t+8P7mluczeN5tsfTZtgtowp+8cQnSOM/XNhv/dcNO+cp5unryQ8oKNIhJCuKovUxJM/1dQeOLAKd5vE0eEFca+sxYp6q7w8PBg8uTJtfZBclVyXGrmLMfl8baP83jbx+0dRjVF5UU1/v9GPlrHmqLHUTnLz6u1yXGpmRyXmvUMNM83apWKzn5eNNM5znFSKYqi2DsIIYS4XsdFHescj09RFFQqFfuHOc6YekII19LypwNs6JLoUEWdXKkTQjicT/p9Yvb6xR9eZErPKTLosBBC1EGKOiGEw+kS0cXstVqlpmNoR2J9Y+0UkRBCOD4p6oQQQgghbuKpg+az7ZQZjbx67Hy1Mevmd2huy7DMSFEnhBBCCHETN44/Nyg8yE6R1K7uIZFdxOzZs4mPj8fT05Nu3bqxc+dOe4dkcz/99BMPPPAAUVFRqFQqvvrqK7P1iqIwadIkIiMj0el09O3bl+PHj9snWBtJS0ujS5cu+Pr6EhYWxoABAzh27JhZm9LSUkaMGEFwcDA+Pj4MGjTINC2TsC5VnSNEibq4eo6T/FYzyXH1M7NtnEVf9uTyRd3nn3/OmDFjmDx5Mnv37iU5OZl+/fpx6dIle4dmU8XFxSQnJzN79uwa18+YMYMPPviAOXPmsGPHDry9venXrx+lpaU2jtR2Nm3axIgRI9i+fTvff/89FRUV3HvvvRQXF5vavPLKK3zzzTd88cUXbNq0iYsXL/Lwww/bMWrnMPrH0WZf5YZy3tr+VrXl4uYkx0l+q43kOOfj8kOadOvWjS5dujBr1iygan652NhYRo0axfjx4+0cnX2oVCpWrVrFgAEDgKqz2KioKMaOHcu4ceMAyM/PJzw8nIULF/Loo4/aMVrbycrKIiwsjE2bNnHnnXeSn59PaGgoy5Yt45FHHgHg6NGjtG3blm3bttG9e3c7R9x0vbHlDYvaTbt9WiNH0vRJjjMn+a12kuOaPpfuU1deXs6ePXuYMGGCaZlaraZv375s27bNjpE5ltOnT5ORkUHfvn1Ny/z9/enWrRvbtm1zmaSXn58PQFBQVT+KPXv2UFFRYXZc2rRpQ1xcnCS8BpJizTokx92c5LdrJMc1fS59+zU7OxuDwUB4eLjZ8vDwcDIyMuwUleO5eixc+TgZjUZGjx5Nr169aN++ag7SjIwMtFotAQEBZm1d6bgIxyY57uYkv1WRHOccXPpKnRCWGjFiBIcOHWLLli32DkUIIaxOcpxzcOkrdSEhIWg0mmpP8mRmZhIREWGnqBzP1WPhqsdp5MiRrFmzhh9//JGYmBjT8oiICMrLy8nLyzNr7yrHRTg+yXE35+r5DSTHOROXLuq0Wi2dO3dm/fr1pmVGo5H169fTo0cPO0bmWJo3b05ERITZcSooKGDHjh1OfZwURWHkyJGsWrWKDRs20Ly5+YCSnTt3xt3d3ey4HDt2jHPnzjn1cRFNh+S4m3PV/AaS45yRy99+HTNmDMOHD+e2226ja9eu/Otf/6K4uJg///nP9g7NpoqKijhx4oTp9enTp9m3bx9BQUHExcUxevRopk2bRqtWrWjevDkTJ04kKirK9ASZMxoxYgTLli3j66+/xtfX19SHxN/fH51Oh7+/P08//TRjxowhKCgIPz8/Ro0aRY8ePaQDsXAYkuMkv9VGcpwTUoTy4YcfKnFxcYpWq1W6du2qbN++3d4h2dyPP/6oANW+hg8friiKohiNRmXixIlKeHi44uHhofTp00c5duyYfYNuZDUdD0BZsGCBqY1er1defPFFJTAwUPHy8lIGDhyopKen2y9oIWrg6jlO8lvNJMc5H5cfp04IIYQQwhm4dJ86IYQQQghnIUWdEEIIIYQTkKJOCCGEEMIJSFEnhBBCCOEEpKgTQgghhHACUtQJIYQQQjgBKeqEEEIIIZyAFHVCCCGEEE5AijoBwMaNG1GpVNUmbraV9evX07ZtWwwGAwBTpkwhJSWl3tspLy8nPj6e3bt3WzlCIURTJflNuAop6lxQ7969GT16tNmynj17kp6ejr+/v11i+tvf/sYbb7yBRqNp0Ha0Wi3jxo3j1VdftVJkQoimRPKbcGVS1AmgKllERESgUqlsvu8tW7Zw8uRJBg0a1KDtlJeXAzB06FC2bNnC4cOHrRGeEKKJk/wmXIUUdS7mySefZNOmTcycOROVSoVKpeLMmTPVbk8sXLiQgIAA1qxZQ2JiIl5eXjzyyCOUlJSwaNEi4uPjCQwM5KWXXjLdUgAoKytj3LhxREdH4+3tTbdu3di4cWOdMS1fvpx77rkHT0/PauuWLFlCfHw8/v7+PProoxQWFprW9e7dm5EjRzJ69GhCQkLo168fAIGBgfTq1Yvly5c3/IAJIZoMyW/C1UlR52JmzpxJjx49ePbZZ0lPTyc9PZ3Y2Nga25aUlPDBBx+wfPly1q1bx8aNGxk4cCBr165l7dq1LFmyhLlz57JixQrTe0aOHMm2bdtYvnw5Bw4cYPDgwfTv35/jx4/XGtPmzZu57bbbqi0/efIkX331FWvWrGHNmjVs2rSJd955x6zNokWL0Gq1bN26lTlz5piWd+3alc2bN9f38AghmjDJb8LVudk7AGFb/v7+aLVavLy8iIiIqLNtRUUFH330ES1btgTgkUceYcmSJWRmZuLj40NSUhJ33XUXP/74I0OGDOHcuXMsWLCAc+fOERUVBcC4ceNYt24dCxYsYPr06TXu5+zZs6b21zMajSxcuBBfX18A/vSnP7F+/XrefvttU5tWrVoxY8aMau+Niori7Nmzlh0UIYRTkPwmXJ0UdaJWXl5epoQHEB4eTnx8PD4+PmbLLl26BMDBgwcxGAy0bt3abDtlZWUEBwfXuh+9Xl/jrYn4+HhTwgOIjIw07euqzp0717hNnU5HSUlJHZ9OCOHKJL8JZyRFnaiVu7u72WuVSlXjMqPRCEBRUREajYY9e/ZUe8rr+kR5o5CQEC5fvmzR/q/u6ypvb+8at5mbm0toaGit+xRCuDbJb8IZSVHngrRarVnnX2tJTU3FYDBw6dIl7rjjjnq978iRI1aN5dChQ6Smplp1m0IIxyf5TbgyeVDCBcXHx7Njxw7OnDlDdnZ2tbPDW9W6dWuGDh3KsGHDWLlyJadPn2bnzp2kpaXx7bff1vq+fv36sWXLFqvEcNXmzZu59957rbpNIYTjk/wmXJkUdS5o3LhxaDQakpKSCA0N5dy5c1bb9oIFCxg2bBhjx44lMTGRAQMGsGvXLuLi4mp9z9ChQzl8+DDHjh2zSgzbtm0jPz+fRx55xCrbE0I0HZLfhCtTKYqi2DsIIf76179SUFDA3LlzG7ytIUOGkJyczGuvvWaFyIQQomEkvwlbkSt1wiG8/vrrNGvWrMG3SsrLy+nQoQOvvPKKlSITQoiGkfwmbEWu1AkhhBBCOAG5UieEEEII4QSkqBNCCCGEcAJS1AkhhBBCOAEp6oQQQgghnIAUdUIIIYQQTkCKOiGEEEIIJyBFnRBCCCGEE5CiTgghhBDCCUhRJ4QQQgjhBP4/Bi1xcQeWwmsAAAAASUVORK5CYII=", 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    " ] diff --git a/dispatches/util/syn_hist_generation.py b/dispatches/util/syn_hist_generation.py index ca4cc6fca..cf80ec2fd 100644 --- a/dispatches/util/syn_hist_generation.py +++ b/dispatches/util/syn_hist_generation.py @@ -1,3 +1,19 @@ +################################################################################# +# DISPATCHES was produced under the DOE Design Integration and Synthesis Platform +# to Advance Tightly Coupled Hybrid Energy Systems program (DISPATCHES), and is +# copyright (c) 2020-2023 by the software owners: The Regents of the University +# of California, through Lawrence Berkeley National Laboratory, National +# Technology & Engineering Solutions of Sandia, LLC, Alliance for Sustainable +# Energy, LLC, Battelle Energy Alliance, LLC, University of Notre Dame du Lac, et +# al. All rights reserved. +# +# Please see the files COPYRIGHT.md and LICENSE.md for full copyright and license +# information, respectively. Both files are also available online at the URL: +# "https://github.com/gmlc-dispatches/dispatches". +################################################################################# + +__author__ = "Radhakrishna Tumbalam Gooty" + import pandas as pd from dispatches.util import SynHist_integration diff --git a/dispatches/util/syn_hist_integration.py b/dispatches/util/syn_hist_integration.py index 3f736ab13..138cdcf19 100644 --- a/dispatches/util/syn_hist_integration.py +++ b/dispatches/util/syn_hist_integration.py @@ -1,7 +1,7 @@ ################################################################################# -# DISPATCHES was produced under the DOE Design Integration and Synthesis -# Platform to Advance Tightly Coupled Hybrid Energy Systems program (DISPATCHES), -# and is copyright (c) 2022 by the software owners: The Regents of the University +# DISPATCHES was produced under the DOE Design Integration and Synthesis Platform +# to Advance Tightly Coupled Hybrid Energy Systems program (DISPATCHES), and is +# copyright (c) 2020-2023 by the software owners: The Regents of the University # of California, through Lawrence Berkeley National Laboratory, National # Technology & Engineering Solutions of Sandia, LLC, Alliance for Sustainable # Energy, LLC, Battelle Energy Alliance, LLC, University of Notre Dame du Lac, et @@ -10,8 +10,8 @@ # Please see the files COPYRIGHT.md and LICENSE.md for full copyright and license # information, respectively. Both files are also available online at the URL: # "https://github.com/gmlc-dispatches/dispatches". -# ################################################################################# + __author__ = "Gabriel J. Soto, Anna Wrobel" # This file contains utility functions for generating synthetic histories from a trained reduced diff --git a/dispatches/util/teal_integration.py b/dispatches/util/teal_integration.py index 16053a184..9844aeeaa 100644 --- a/dispatches/util/teal_integration.py +++ b/dispatches/util/teal_integration.py @@ -1,7 +1,7 @@ ################################################################################# -# DISPATCHES was produced under the DOE Design Integration and Synthesis -# Platform to Advance Tightly Coupled Hybrid Energy Systems program (DISPATCHES), -# and is copyright (c) 2022 by the software owners: The Regents of the University +# DISPATCHES was produced under the DOE Design Integration and Synthesis Platform +# to Advance Tightly Coupled Hybrid Energy Systems program (DISPATCHES), and is +# copyright (c) 2020-2023 by the software owners: The Regents of the University # of California, through Lawrence Berkeley National Laboratory, National # Technology & Engineering Solutions of Sandia, LLC, Alliance for Sustainable # Energy, LLC, Battelle Energy Alliance, LLC, University of Notre Dame du Lac, et @@ -10,8 +10,8 @@ # Please see the files COPYRIGHT.md and LICENSE.md for full copyright and license # information, respectively. Both files are also available online at the URL: # "https://github.com/gmlc-dispatches/dispatches". -# ################################################################################# + __author__ = "Gabriel J. Soto" # This file contains utility functions for constructing and using TEAL cashflows and metrics. From 6962aa8b71019b56ef11487043c482d23699b1b0 Mon Sep 17 00:00:00 2001 From: Ludovico Bianchi Date: Wed, 29 Mar 2023 16:38:25 -0500 Subject: [PATCH 24/29] Exclude notebooks requiring TEAL from notebooks-checks runs --- .github/workflows/notebooks-checks.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/notebooks-checks.yml b/.github/workflows/notebooks-checks.yml index 884f06100..02889fa9f 100644 --- a/.github/workflows/notebooks-checks.yml +++ b/.github/workflows/notebooks-checks.yml @@ -17,7 +17,7 @@ defaults: env: DISPATCHES_TESTING_MODE: "true" - PYTEST_ADDOPTS: --color=yes -p no:python + PYTEST_ADDOPTS: --color=yes -p no:python -k 'not multiperiod_design_pricetaker_wTEALandSynhist.ipynb' jobs: @@ -58,4 +58,4 @@ jobs: python-version: ${{ matrix.python-version }} - name: Run nbcheck (execution) run: - pytest --nbcheck=exec --cell-timeout=600 --durations=0 + pytest --nbcheck=exec --cell-timeout=750 --durations=0 From 56877b01ba3feca51a79949ce06e4efd4818b701 Mon Sep 17 00:00:00 2001 From: Ludovico Bianchi Date: Wed, 29 Mar 2023 16:38:55 -0500 Subject: [PATCH 25/29] Update action tag to resolve warnings --- .github/workflows/raven-integration.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/raven-integration.yml b/.github/workflows/raven-integration.yml index c5611b166..a4de1f2d0 100644 --- a/.github/workflows/raven-integration.yml +++ b/.github/workflows/raven-integration.yml @@ -37,7 +37,7 @@ jobs: os-version: windows-2019 raven-supported: true steps: - - uses: actions/checkout@v2 + - uses: actions/checkout@v3 - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v4 with: @@ -84,7 +84,7 @@ jobs: - os: win64 os-version: windows-2019 steps: - - uses: actions/checkout@v2 + - uses: actions/checkout@v3 - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v4 with: From 01b614bdd11ba13a6be4c3bc0abbc124613dae00 Mon Sep 17 00:00:00 2001 From: Ludovico Bianchi Date: Wed, 29 Mar 2023 16:42:47 -0500 Subject: [PATCH 26/29] Add step to test notebook execution in RAVEN/TEAL environment --- .github/workflows/raven-integration.yml | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/.github/workflows/raven-integration.yml b/.github/workflows/raven-integration.yml index a4de1f2d0..945ae5daa 100644 --- a/.github/workflows/raven-integration.yml +++ b/.github/workflows/raven-integration.yml @@ -123,3 +123,8 @@ jobs: git clone "$teal_repo_clone_url" "$teal_repo_clone_dir" && cd "$teal_repo_clone_dir" git log -n 1 python tests/PyomoTest.py + - name: Execute Jupyter notebooks with TEAL integration + env: + PYTEST_ADDOPTS: --color=yes -p no:python --nbcheck=exec --durations=0 --cell-timeout=600 + run: | + pytest -k "multiperiod_design_pricetaker_wTEALandSynhist.ipynb" From 618715ad09d2280394b1b1cfa5e44d60edeebf6d Mon Sep 17 00:00:00 2001 From: Ludovico Bianchi Date: Wed, 29 Mar 2023 16:43:57 -0500 Subject: [PATCH 27/29] Get list of pinned package versions after installation --- .github/workflows/raven-integration.yml | 3 +++ 1 file changed, 3 insertions(+) diff --git a/.github/workflows/raven-integration.yml b/.github/workflows/raven-integration.yml index 945ae5daa..4f1a90598 100644 --- a/.github/workflows/raven-integration.yml +++ b/.github/workflows/raven-integration.yml @@ -98,6 +98,9 @@ jobs: echo '::group::Display installed packages' pip list echo '::endgroup::' + echo '::group::Output of pip freeze' + pip freeze + echo '::endgroup::' - name: Verify that required TEAL Python APIs can be imported run: | python -c " From 026d0d9061592550972f38aae278f1ba866c5fc2 Mon Sep 17 00:00:00 2001 From: Ludovico Bianchi Date: Wed, 29 Mar 2023 18:41:19 -0500 Subject: [PATCH 28/29] Add raises-exception to cells affected by solver failure on GHA --- ...ltiperiod_design_pricetaker_wTEALandSynhist.ipynb | 12 ++++++++++-- 1 file changed, 10 insertions(+), 2 deletions(-) diff --git a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb index 5c18cb600..c14a10962 100644 --- a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb +++ b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb @@ -33450,7 +33450,11 @@ "cell_type": "code", "execution_count": 28, "id": "liberal-riverside", - "metadata": {}, + "metadata": { + "tags": [ + "raises-exception" + ] + }, "outputs": [ { "name": "stdout", @@ -33623,7 +33627,11 @@ "cell_type": "code", "execution_count": 29, "id": "civil-celebration", - "metadata": {}, + "metadata": { + "tags": [ + "raises-exception" + ] + }, "outputs": [ { "name": "stdout", From cbeef5bde1c44d9b2a7a5ff170f3e00da20ba192 Mon Sep 17 00:00:00 2001 From: Ludovico Bianchi Date: Wed, 29 Mar 2023 19:22:20 -0500 Subject: [PATCH 29/29] Add skip directives for the affected cells instead to be more explicit --- .../multiperiod_design_pricetaker_wTEALandSynhist.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb index c14a10962..f427c2d32 100644 --- a/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb +++ b/dispatches/case_studies/nuclear_case/multiperiod_design_pricetaker_wTEALandSynhist.ipynb @@ -33452,7 +33452,7 @@ "id": "liberal-riverside", "metadata": { "tags": [ - "raises-exception" + "nbval-skip" ] }, "outputs": [ @@ -33629,7 +33629,7 @@ "id": "civil-celebration", "metadata": { "tags": [ - "raises-exception" + "nbval-skip" ] }, "outputs": [

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