1708_Nonlinear_inversion/2_MT1D_ForwardModellingAndNonuniqueness.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Getting Started**\n",
    "\n",
    "This tutorial relies on standard python packages as well as [SimPEG](http://simpeg.xyz). If you do not have SimPEG installed, you can uncomment the next line and install it from [pypi](https://pypi.python.org/pypi/SimPEG)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# !pip install SimPEG"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Forward simulation the 1D Magnetotelluric (MT) problem\n",
    "\n",
    "In the [previous notebook](./MT1D_Simulation.ipynb), we walked through how to discretize and solve the 1D Magnetotelluric (MT) problem using a finite difference approach. In this notebook, we will use the numerical simulation to simulate MT data and explore concepts including\n",
    "- **Mesh Design**: we will compare our numerical result to an analytic and see what happens when cell sizes are too large, or the domain doesn't extend far enough\n",
    "- **Non-uniqueness**: prior to inverting geophysical data, it is important to set expectations on what we hope to recover from those data. Forward modelling is a powerful tool for getting a handle on this. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import scipy.sparse as sp\n",
    "import matplotlib.pyplot as plt\n",
    "from SimPEG import Mesh, Utils, Solver\n",
    "from scipy.constants import mu_0, epsilon_0\n",
    "import matplotlib\n",
    "matplotlib.rcParams[\"font.size\"] = 13\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the [previous notebook](./MT1D_Simulation), we generated the function `simulateMT` in the file `MTforward.py`, we will import that and use it in this notebook. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from MTforward import simulateMT"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Set up Model Parameters\n",
    "\n",
    "To define an MT simulation, we will set up a conductivity model a frequency range over which we wish to simulate. We will use:\n",
    "- a background resistivity of $\\rho = 100 \\Omega m$ ($10^{-2} Sm$)\n",
    "- 25 frequencies between $10^{-3}$ Hz and 100 Hz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "rho_half = 100.  # Resistivity of the halfspace in Ohm-m\n",
    "sigma_half = 1./rho_half  # Conductivity is the inverse of conductivity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "frequency = np.logspace(-3, 2, 25)  # frequencies at which to simulate the MT problem"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Skin depth and Mesh Design\n",
    "\n",
    "When setting up a mesh, we want to make sure our fine cells are fine enough to capture the behaviour at the highest frequencies and that the domain extends far enough so that the fields have sufficiently decayed by the time they reach the boundary. To gauge this, we will examine the [skin depth](http://em.geosci.xyz/content/maxwell1_fundamentals/plane_waves_in_homogeneous_media/frequency/analytic_solution.html#attenuation-and-skin-depth) at the highest and lowest frequencies. Skin depth ($\\delta$) is the distance at which the amplitude of an EM wave propagating through a homogeneous medium will have decayed by a factor of $1/e$\n",
    "\n",
    "**Skin Depth**\n",
    "$$\n",
    "\\delta = \\frac{500}{\\sqrt{\\sigma f}}\n",
    "$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def skin_depth(sigma, f):\n",
    "    \"\"\"\n",
    "    Depth at which the fields propagating through a homogeneous \n",
    "    medium have decayed by a factor of 1/e for a given \n",
    "    frequency, f and conductivity, sigma\n",
    "    \"\"\"\n",
    "    return 500./np.sqrt(sigma * f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The minimum skin depth is 500.00m\n",
      "The maximum skin depth is 1.58e+05m\n"
     ]
    }
   ],
   "source": [
    "skin_depth_min = skin_depth(sigma_half, frequency.max())\n",
    "skin_depth_max = skin_depth(sigma_half, frequency.min())\n",
    "\n",
    "print(\"The minimum skin depth is {:1.2f}m\".format(skin_depth_min))\n",
    "print(\"The maximum skin depth is {:1.2e}m\".format(skin_depth_max))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Mesh parameters\n",
    "\n",
    "We start by choosing a mesh with parameters as follows: \n",
    "- smallest cell size: \n",
    "$$\\Delta z_{\\rm core} = \\delta_{\\rm min} / 4$$\n",
    "\n",
    "- domain extent: \n",
    "$$z_{\\rm max} = 2 \\delta_{\\rm max} $$\n",
    "\n",
    "For this example, we will be exploring model variations within the top 5km, so we will extend the core region (the region of the having uniform cells with width $\\Delta z_{\\rm core}$) of the mesh to a depth of 5km. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The smallest cell size is 125.00m\n",
      "The core region of the mesh extends 5.00e+03m\n",
      "The mesh should extend at least 3.16e+05m\n"
     ]
    }
   ],
   "source": [
    "cs = skin_depth_min / 4.\n",
    "core_extent = 5000. \n",
    "domain_extent = 2 * skin_depth_max\n",
    "\n",
    "print(\"The smallest cell size is {:1.2f}m\".format(cs))\n",
    "print(\"The core region of the mesh extends {:1.2e}m\".format(core_extent))\n",
    "print(\"The mesh should extend at least {:1.2e}m\".format(domain_extent))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Padding\n",
    "\n",
    "We will use a tensor mesh, which means we can use non-uniform cells for the padding, that is, expanding the width of the cells with depth. We can get away with this because EM fields and fluxes are diffusive and high frequencies will be attenuated as they move through the conductive earth (eg. in seismic, you wouldn't want to do this as the seismic response is  dominated by wave propagaion). \n",
    "\n",
    "We expand by a factor of 1.3 until we are beyond the desired domain extent. Here, we write a small `while` loop to figure out how many padding cells we should use.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "25 padding cells extends 3.82e+05m > 3.16e+05m (2 skin depths)\n"
     ]
    }
   ],
   "source": [
    "npad = 1  # start with 1 cell\n",
    "padding_fact = 1.3  # the amount by which we will expand each cell of the padding\n",
    "\n",
    "def padding_extent(npad):\n",
    "    \"\"\"\n",
    "    given a number of padding cells, this computes how far \n",
    "    the padding extends\n",
    "    \"\"\"\n",
    "    padding_widths = cs*padding_fact**(np.arange(npad) + 1)\n",
    "    return padding_widths.sum()\n",
    "\n",
    "# keep adding padding until we are beyond the desired extent\n",
    "padding_z = padding_extent(npad)\n",
    "while padding_z < domain_extent:\n",
    "    npad+=1\n",
    "    padding_z = padding_extent(npad)\n",
    "    \n",
    "print(\n",
    "    \"{:1.0f} padding cells extends {:1.2e}m > {:1.2e}m \"\n",
    "    \"(2 skin depths)\".format(\n",
    "        npad, padding_extent(npad), domain_extent\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Construct the Tensor mesh\n",
    "\n",
    "Now that we have defined all of the mesh parameters, we use the [Mesh Class in SimPEG](http://docs.simpeg.xyz) to construct a mesh. This will define all of the geometries, provide the necessary differential operators, and some handy functions like plotting. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 40 cells in the mesh. The mest extends 3.87e+05m\n"
     ]
    }
   ],
   "source": [
    "ncz = np.ceil(core_extent / cs)  # number of cells in the core domain\n",
    "hz = [(cs, npad, -1.3), (cs, ncz)]  # define how to construct the cell widths\n",
    "mesh = Mesh.TensorMesh([hz], x0='N')  # construct a 1D Tensor Mesh\n",
    "\n",
    "print(\n",
    "    \"There are {:1.0f} cells in the mesh. The mest extends {:1.2e}m\".format(\n",
    "        ncz, mesh.hx.sum()\n",
    "    )\n",
    ") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x113c99dd0>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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GjbTcLlWGMVJlNV6W4x48eJB+/fq16G7XPtq5z2x0dP/p8sQxpzjn2R6NmXKUIZ1cZUt7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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x113c7ad10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the mesh\n",
    "fig, ax = plt.subplots(1,1, figsize=(8, 3))\n",
    "mesh.plotGrid(centers=True, faces=True, ax=ax)\n",
    "ax.legend([\"centers\", \"faces\"])\n",
    "ax.grid(which=\"both\", linewidth=0.5)\n",
    "ax.invert_xaxis()  # so that the surface is on our left hand side\n",
    "ax.set_xlabel('z (m)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Set up a model\n",
    "\n",
    "In the [previous notebook](./MT1D_Simulation.ipynb), we showed that for a half-space, we expect the apparent resistivity computed from impedance data to be the same as the half-space resistivity, and the phase to by $45^\\circ$ across the entire frequency range. \n",
    "\n",
    "What happens when we include a conductive target in our model?\n",
    "\n",
    "Here we will use the following model parameters\n",
    "- Resistivity of the background: $\\rho_{\\text{halfspace}} = 100 \\Omega m$ (which is the same as $\\sigma_{\\text{halfspace}} = 10^{-2} S/m$)\n",
    "- Resistivity of the target: $\\rho_{\\text{target}} = 10 \\Omega m$ (which is the same as $\\sigma_{\\text{halfspace}} = 10^{-1} S/m$)\n",
    "- Thickness of the target layer: 1000m \n",
    "- Depth of the target layer: 2000m "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "rho_target = 10.  # resistivity in Ohm-m\n",
    "depth = 2000.  # depth to the top of the target in m \n",
    "thickness = 1000.  # thickness of the target in m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# put the model on the mesh\n",
    "sigma = 1./rho_half * np.ones(mesh.nC)\n",
    "\n",
    "# find the indices of the layer\n",
    "layer_inds = (\n",
    "    (mesh.vectorCCx<=-depth) & \n",
    "    (mesh.vectorCCx>-(depth+thickness))\n",
    ")\n",
    "sigma[layer_inds] = 1./rho_target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x113d614d0>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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nfvl9MfvG3hhrFoqGOe5tMRzXqu+bey4MwzwPwe+L2dd1Y6xdgZOBw4HdmTfRsqp2nnxo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\nY7F4kCRJY/n/yWnMlp5uJr0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x113bc1910>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the model\n",
    "fig, ax = plt.subplots(1, 1, figsize=(8, 3))\n",
    "\n",
    "# trickery to plot from node to node rather than at cell centers\n",
    "z = np.repeat(mesh.vectorNx[1:-1], 2, axis=0)\n",
    "z = np.r_[mesh.vectorNx[0], z, mesh.vectorNx[-1]]\n",
    "sigma_plt = np.repeat(sigma, 2, axis=0)\n",
    "\n",
    "ax.semilogy(z, sigma_plt,\"C0\", lw=2)\n",
    "ax.grid(which=\"both\", linewidth=0.5)\n",
    "ax.set_xlim([-5000., 0.])\n",
    "ax.set_ylim([5e-3, 1])\n",
    "ax.invert_xaxis() # plot the surface on the left\n",
    "\n",
    "ax.set_xlabel(\"Elevation (m)\", fontsize=14)\n",
    "ax.set_ylabel(\"Conductivity (S/m)\", fontsize=14)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Compare with an analytic\n",
    "\n",
    "Prior to drawing conclusions from our simulations, we want to first make sure they are correct! \n",
    "\n",
    "So here, we compare the numerical results computed with our method `simulateMT` with an analytic for the MT response over a layered earth. A more complete description, including the derivation, is available on [EM GeoSci](http://em.geosci.xyz/content/maxwell3_fdem/natural_sources/MT_N_layered_Earth.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from SimPEG.EM.Analytics import MT_LayeredEarth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# the analytic takes the frequencies, layer thicknesses and layer conductivities\n",
    "sigma_layers = np.r_[\n",
    "    1./rho_half, \n",
    "    1./rho_target, \n",
    "    1./rho_half]\n",
    "h = np.r_[depth, thickness]  \n",
    "\n",
    "app_res_ana, app_phase_ana = MT_LayeredEarth(\n",
    "    frequency, h, sigma_layers, 'Res-Phase'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# # Uncomment to read the documentation on MT_LayeredEarth\n",
    "# MT_LayeredEarth??"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# numerically compute the response\n",
    "app_res, app_phase = simulateMT(mesh, sigma, frequency)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def plot_with_analytic(frequency, app_res, app_phase, app_res_ana, app_phase_ana):\n",
    "    # Plot and compare the results\n",
    "    fig, ax = plt.subplots(2, 1, figsize=(8, 3*2))\n",
    "\n",
    "    # apparent resistivity\n",
    "    ax[0].loglog(frequency, app_res, label='Numeric')\n",
    "    ax[0].loglog(frequency, app_res_ana, 'k.', label='Analytic')\n",
    "    ax[0].set_ylabel(\"$\\\\rho_a \\ (\\Omega m)$\", fontsize=14)\n",
    "    ax[0].set_ylim([2e1, 3e2])\n",
    "\n",
    "    # phase\n",
    "    ax[1].semilogx(frequency, app_phase, label='Numeric')\n",
    "    ax[1].semilogx(frequency, app_phase_ana, 'k.', label='Analytic')\n",
    "    ax[1].set_ylabel(\"$\\phi \\ (^{\\circ})$\", fontsize=13)\n",
    "    ax[1].set_ylim([0., 90.])\n",
    "\n",
    "    for a in ax:\n",
    "        a.grid(True, which='both', linewidth=0.3)\n",
    "        a.set_xlim(frequency.max(), frequency.min())\n",
    "        a.set_xlabel(\"Frequency (Hz)\", fontsize=14)\n",
    "        a.legend(fontsize=11)\n",
    "\n",
    "    plt.tight_layout()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LyJEjWVxhjKNGjSJ7ey5PffQ1T3y8k+dWfsvVI7txw1lnkNSqRbCHKyIip4m3Cc5AYJS1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\nIiJpRwGOiIiIpB0FOCIiIpJ2/j9LYx/ztwK0ogAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1144dbe50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_with_analytic(frequency, app_res, app_phase, app_res_ana, app_phase_ana)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Across the entire frequency band, the apparent resistivity and phase agree with the analytic. What happens if\n",
    "\n",
    "1. we use a coarse cell size?\n",
    "2. we reduce how far the padding extends?\n",
    "\n",
    "To answer those questions, we have a small widget. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import ipywidgets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def mesh_design_app(domain_extent, cs):\n",
    "    ncz = np.ceil(core_extent / cs)  # number of cells in the core domain\n",
    "    \n",
    "    # keep adding padding until we are beyond the desired extent\n",
    "    npad=0\n",
    "    padding_z = padding_extent(npad)\n",
    "    while padding_z < domain_extent*1e3:\n",
    "        npad+=1\n",
    "        padding_z = padding_extent(npad)\n",
    "    \n",
    "    hz = [(cs, npad, -1.3), (cs, ncz)]  # define how to construct the cell widths\n",
    "    mesh = Mesh.TensorMesh([hz], x0='N')  # construct a 1D Tensor Mesh\n",
    "\n",
    "    # put the model on the mesh\n",
    "    sigma = 1./rho_half * np.ones(mesh.nC)\n",
    "\n",
    "    # find the indices of the layer\n",
    "    layer_inds = (\n",
    "        (mesh.vectorCCx<=-depth) & \n",
    "        (mesh.vectorCCx>-(depth+thickness))\n",
    "    )\n",
    "    sigma[layer_inds] = 1./rho_target\n",
    "    \n",
    "    app_res, app_phase = simulateMT(mesh, sigma, frequency)\n",
    "    \n",
    "    plot_with_analytic(frequency, app_res, app_phase, app_res_ana, app_phase_ana)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "It is helpful to remember that \n",
      "the minimum skin depth is 500m \n",
      "and the maximum skin depth is 158km\n"
     ]
    }
   ],
   "source": [
    "print(\n",
    "    \"It is helpful to remember that \\n\"\n",
    "    \"the minimum skin depth is {:1.0f}m \\n\"\n",
    "    \"and the maximum skin depth is {:1.0f}km\".format(\n",
    "        skin_depth_min, skin_depth_max*1e-3\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- What happens if you make the domain smaller? Which frequencies are impacted first?\n",
    "- What happens if you use a larger cell size? (Pay attention to the phase at high frequencies)\n",
    "    - notice that there will be two regions impacted: high frequencies, and the frequencies impacted by the conductive layer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8c8849c1f4554b8c89853e2d75bb8660"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.mesh_design_app>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ipywidgets.interact(\n",
    "    mesh_design_app,\n",
    "    domain_extent=ipywidgets.FloatSlider(min=0, max=400, step=25, value=300, description=\"domain extent (km)\"),\n",
    "    cs=ipywidgets.FloatSlider(min=25, max=1000, step=25, value=125, description=\"min cell size (m)\")\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Considerations for the inversion\n",
    "\n",
    "Prior to considering an inversion, first making sure that a suitable mesh is designed is an important step - otherwise, you can introduce artifacts and structures simply because the mesh doesn't capture the physics! Comparing against analytics that model a simplified, but similar, scenario can be a powerful tool for mesh design. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Non-uniqueness\n",
    "\n",
    "The second concept we will explore with forward modelling is non-uniqueness: when models are different, but the data are similar.\n",
    "\n",
    "In the Magnetotelluric problem, a classic example that demonstrates non-uniqueness of the data is the non-uniquness associated with the conductivity-thickness product of a thin layer. If we start with a layer that has a conductivity of $\\sigma$, halve its thickness and double its conductivity, the resulting data will be similar... (but don't just take our word for it!)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "we consider layers having thicknesses (m) [  300.   600.   900.  1200.  1500.]\n"
     ]
    }
   ],
   "source": [
    "# compute models with equivalent conductivity-thickness product\n",
    "conductivity_thickness = thickness * 1./rho_target\n",
    "layer_thicknesses = (np.arange(5)+1.)*300.\n",
    "print(\"we consider layers having thicknesses (m) {}\".format(layer_thicknesses))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "To preserve the conductivity thickness product,\n",
      "these layer have conductivities (S/m) of [ 0.33333333  0.16666667  0.11111111  0.08333333  0.06666667]\n",
      "This is the same as resistivities (Ohm m) of [  3.   6.   9.  12.  15.]\n"
     ]
    }
   ],
   "source": [
    "sig_targets = conductivity_thickness / layer_thicknesses\n",
    "print(\n",
    "    \"To preserve the conductivity thickness product,\\n\"\n",
    "    \"these layer have conductivities (S/m) of {}\".format(sig_targets)\n",
    ")\n",
    "print(\"This is the same as resistivities (Ohm m) of {}\".format(1./sig_targets))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# construct conductivity models on the mesh\n",
    "sigma_list = []\n",
    "\n",
    "# Compute the midpoint and make sure the layers we will compare with are all centered at the same depth \n",
    "depth_mid = depth + thickness / 2.\n",
    "\n",
    "for i in range(len(layer_thicknesses)):\n",
    "    layer_inds = (\n",
    "        (mesh.vectorCCx<-depth_mid+layer_thicknesses[i]*0.5) & \n",
    "        (mesh.vectorCCx>-depth_mid-layer_thicknesses[i]*0.5)\n",
    "    )\n",
    "    sigma_temp = np.ones(mesh.nC) * 1./rho_half\n",
    "    sigma_temp[layer_inds] = sig_targets[i]\n",
    "    sigma_list.append(sigma_temp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# compute the apparent resistivity and phase for each model\n",
    "app_res_list = []\n",
    "phase_list = []\n",
    "for i in range(len(layer_thicknesses)):\n",
    "    app_res, phase = simulateMT(mesh, sigma_list[i], frequency)\n",
    "    app_res_list.append(app_res)\n",
    "    phase_list.append(phase)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def plot_apparent_resistivities_and_phases(\n",
    "    frequency, sigma_list, layer_thicknesses, app_res_list, phase_list, app_res_uncert=0., phase_uncert=0.\n",
    "):\n",
    "    \"\"\"\n",
    "    Plot the apparent resistivity and phase for multiple models\n",
    "    \n",
    "    frequency: numpy array of frequencies\n",
    "    sigma_list: list of conductivity models to plot\n",
    "    layer_thicknesses: thickness of the ~equivalent layers\n",
    "    app_res_list: list of apparent resistivities computed from the conductivity models\n",
    "    phase_list: list of phases computed fromt the conductivity models \n",
    "    app_res_uncert: uncertainty (in percentage) of the apparent resistivity\n",
    "    phase_uncert: uncertainty (in degrees) of the phase  \n",
    "    \"\"\"\n",
    "    fig, ax = plt.subplots(3, 1, figsize=(8, 3*3), dpi=400)\n",
    "\n",
    "    for i in range(len(sigma_list)):\n",
    "        # trickery to plot from node to node rather than at cell centers\n",
    "        z = np.repeat(mesh.vectorNx[1:-1], 2, axis=0)\n",
    "        z = np.r_[mesh.vectorNx[0], z, mesh.vectorNx[-1]]\n",
    "        sigma_plt = np.repeat(sigma_list[i], 2, axis=0)\n",
    "\n",
    "        # noise models, apparent resistivity is a percent, phase in units of degrees\n",
    "        app_res_noise = (app_res_uncert/100.)*np.abs(app_res_list[i])*np.random.randn(len(app_res_list[i]))\n",
    "        phase_noise = phase_uncert*np.random.randn(len(app_res_list[i]))\n",
    "\n",
    "        ax[0].plot(z, sigma_plt, 'C{}'.format(i), lw=2, label=\"{:1.0f} m\".format(layer_thicknesses[i]))\n",
    "        ax[1].loglog(frequency, app_res_list[i]+app_res_noise, 'C{}-'.format(i), lw=1, label=\"{:1.0f} m\".format(layer_thicknesses[i]))\n",
    "        ax[2].semilogx(frequency, phase_list[i]+phase_noise, 'C{}-'.format(i), lw=1, label=\"{:1.0f} m\".format(layer_thicknesses[i]))   \n",
    "    # conductivity plot\n",
    "    ax[0].set_ylabel(\"Conductivity (S/m)\", fontsize=13)\n",
    "    ax[0].set_xlabel(\"Depth (m)\", fontsize=14)\n",
    "    ax[0].set_xlim([-5000., 0.])\n",
    "    ax[0].set_ylim([0, 0.4])\n",
    "    ax[0].legend(fontsize=10, bbox_to_anchor=(1.18, 1.01))\n",
    "\n",
    "    # apparent resistivity plot\n",
    "    ax[1].set_ylabel(\"Apparent Resistivity $(\\Omega m)$\", fontsize=13)\n",
    "    ax[1].set_ylim([2e1, 2e2])\n",
    "\n",
    "    # phase plot\n",
    "    ax[2].set_ylabel(\"Phase $(^{\\circ})$\", fontsize=13) \n",
    "    ax[2].set_ylim([0., 90.])\n",
    "\n",
    "    # apparent resistivity and phase plots\n",
    "    for a in ax[1:]:\n",
    "        a.set_xlabel(\"Frequency (Hz)\", fontsize=13)\n",
    "        a.set_xlim([frequency.min(), frequency.max()])\n",
    "\n",
    "    for a in ax:\n",
    "        a.grid(True, which='both', linewidth=0.3)\n",
    "        a.invert_xaxis()\n",
    "        \n",
    "\n",
    "    plt.tight_layout()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
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Md6jp12LDEucSQEV5BaQMm8Em5YdANe9wRBs8wl8NoH4fq7YdN/QNWjExdwopLM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\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Xdkf0BShHdjajHn4YzzXX0rRkScz9Gp59jrCnjMK778KektJtrSClgEdOfoQr3r6C1dXR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2VZc4HHgUKiwTcLuAB4ybKsXcAq4HXgI6AeqDfGDO5WlTImDUfg7ZBeHd96B99+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\nkrk5xdpp4Ml0isUYzwBPpDh0Szr1JEmSJEmSJEmSJEmSJEmSJEmSl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S8ceIEOfzcVxZ9Q2FDIDzb8gAd2PsCd4+/k5sybCQ0IPat5ioiIiIiIiIiIiIiIiIiI\nyKep6E1ETtgLXNvNeMtpxu3ubq3wXs4/ACw5aSzzNHNIA7p7LPeB04wrIiIiIiLSL53+Tt4oeINH\ncx/lUP2hj8aHVHcVus3PtYSf1CjN5wqkMn4iFYnTqI4dj3Wdvcs44a6qT3Vui/MUEe0pxW28/Zrv\nNx46h0whKHMRjJyHe9hU8JzdQhaRC4FxGZLTo0hOj+KS60fRUNVKYW41hblVlOyvxe911mGtsbqN\n3Oo2ckklIOjbpI75AWnxRxnR+TohRa9BR6OjeMEtpczgZWakgC89nFxXFuuOpVFX4GNi+SFGNpQ5\nigfgKSuhYfVqGlavxhcUTPCMS4hbvIDwefMISEpyHK+/UiJS+I9L/oOvT/o6q/eu5pn8Z2jqbOp1\nTkVLBb/c+ksezn2Y28fezu1jbyc6OPqs5SgiIiIiIiIiIiIiIiIiIiIfU9GbiJywtYfxyNOMG9XN\nWG0v5+/oZmy4MSbWWjvQrnOTexjfOcB4IiIiIiIi/dLS2cLzB55nVd4qypq7ikPcPsv0/ZYlOywT\niz5d0OI3bqpjx1OeOI2q+In43UFnNB+Paf2osC3eU0RcQBGxniKCXQ67SwEVQWk0xV1E+oIv40qd\nSVBQb883EZH+iIwP4aIFw7lowXA62rwcyavp6gK3u5q2pk5HsTrbfRzKqecQEWC+SPLIe0hLayTN\n9T6xpc9hGo44iufubCKbD8mO/RAb56YqbgobGy9j125IPVrMpMqDBPn7Vyj7Ucz2NjrXraVs3VoA\n/KMzCRudTsfELKzPh3Gf+a6W8SHx/NOUf+LurLv5+es/Z23jWhr9vRcD1rfX89Cuh3hsz2PclHET\nd064k+Sw5DOem4iIiIiIiIiIiIiIiIiIiHxMRW8icsL6HsYTTzNud/Mrezl/Uw/js4BXB5jDzG7G\nqoDDA4wnIiIiIiLSq7q2Op7Of5qn8p+irr0OgIQ6y6JdfhbuskR/osbMYqiNzqQ8aSqV8ZPxBoSe\ngQwsoUF1xJmDDPEcIM5TRJyniEh3BcY46xx1Qn3IcOzI+USNX4wZOZfdm3YBkJ6x8AzkKyInCwz2\nMGpKIqOmJOL3WyoKGyjIqaIwp4qaUoeFqhbKDjdSdhg+ZA6RcUtIG21IC9nJ0Nr/xV2+3VE4Y30k\nVG3hOrZwXQa0TMtgZ8Ac3t4XAQcrmVa2l6TWOmc5Aq6D+4k8uB/efJM9f3yEiLlziVk4n7DZs3FH\nnu5zmT4tIjCCxZGLmRs+l4aUBlbuXsnRpqO9zmn1tvLk3id5Zt8zXJN+DcuylpEelX5G8xIRERER\nEREREREREREREZEuKnoTEQCstaXGmN1A1kmHpg00pjEmEJjUzaGiXqbtBsqBpJPGL2fgRW+XdzP2\njrV2YHd6ioiIiIiI9KCsuYxVe1bxlwN/odXbivFbphzq6uo2+ZDFdfw8CzREpFGeNJWKhKl0BHXX\nJLt/QsI9REe1EuI/RFz7VtLMDmI9R/GYjtPaS4M7lsahs4jJWkLomIVERaeeVjwRGTiXy5CcHkVy\nehQzrx9FQ1UrhbldBXAl++vw+5xd4miobiOnGnIYQ0Dwj0jNCCEtpoAR7a8QcvSv4HP2/hFaf4BZ\nHGBWHPiGx3Mw+lLeOzaC4t2NTDq2n3HVhbhxlqO7oZ6WV1+h5dVXsC4X7ouyiV+ykPB58wgcNQpj\njKN4PQl0BfKFMV/gxowb+Vvh31ixewX7a/f3Osfr9/LiwRd56eBLLEpdxPKJy8mKP/mSmoiIiIiI\niIiIiIiIiIiIiJwOFb2JyCf9mVOL3uYZYwKttQO5W3IuENTN+Ls9TbDWWmPMq8Dykw7dbIz5lrXW\n5yQBY0wWMKGbQy87iSMiIiIiItKbw3WHeXT3o7x2+DW81kt0k+XKXZbFO/3EN3x8XlPYEMoTp1Ge\nOJW2kIQBrZWQEsqoEY2Etm0nouqvDG/bBid+Uwoc+B6aTShl0VMJGrOIodmXE5k0jsgzVFQiImdW\nZHwIFy1I4aIFKXS0einOq6Ewt4qi3Gramjsdxeps83Eot4lDJGDM3SSnfZO0IdWkmXeJKXkO01bj\nKJ67tYoxrS8xBrDZwVQuvoQP2m9iyy4YXnyYaeX5RHa2OIpp/H78O7dTsXM7Fb+8D3/SEGIWzidy\nwXxCL74YV3Cwo3jd8bg8XJV+FVeOvJL3S95nRe4Ktlf03gHPYnm7+G3eLn6bGckzWD5xOZcMueSM\nFeSJiIiIiIiIiIiIiIiIiIh8nqnoTUQ+aRXwA/io+QBAPPAF4MkBxLu3mzE/sKaPeU9yatFbMnAL\n8IzDHL7RzVgT8JLDOCIiIiIiIqfYVbmLR3MfZc2RNRhrmVBkuWy7ZdoBi8ffdU5rcNxHhW7N4cMG\ntE50UigZY/0k161iaMWf8Rz0nnbuHdZDQWgWHalzGDblCmJHX8Ioty4ViXzWBIZ4GD01kdFTE/H7\nLeWH6ynMraIgp5raY82OYlkLxwqaOFYQxEauIDL+etLSOkkL3sbQ6mdx1+Y7ime8bSSWreVG1nJj\nKjRPzWZH0CKe2x+DL/8o08vyGdVQ6igmgKv8GPVPP03900/jDwwiZMYMYhYtIHzePAKGDHEc71M5\nG8Pc4XOZO3wuOyp2sCJ3Be8dfa/PeZvKNrGpbBPj48azPGs5i1IX4Xa5TysXERERERERERERERER\nERGRzzPdySQiH7HWFhpj/kJXcdkn/dQY87K1tqG7ed0xxiwBlnZz6HlrbV+PCH8P2M2pXed+Yox5\nvr9d54wxY4C7uzm00lrr7K4vERERERGR46y15Lfl88SbT7C1fCvhLZZrci2Ld/gZWtt1TntgJMcS\nplCeNI2GyJEDWic8JoiMaUlkpFQQtOsXRO7rsWl2v/itYb97NNWJlxCdtYSMqYsZExJ2WjFFZHBx\nuQxDRkczZHQ0M28YTX1lK4U5VRTmVlG6vw6/3zqK11DVRk4V5JBNYPBUwmIaGRaWx4yIjQSXrQXr\ndxQvrHIns9nJ7FDwzk/hUMxc3qq6koM7aplUmk925QGCfc461bk62ml/fx1l76/rGkgfTdziBYTP\nn0/IpEkY98ALzyYnTuaBRQ+wv3Y/j+5+lDcL3sRnfb3OyavO4zvvfYe0yDSWZS3j2vRrCXAHDDgH\nERERERERERERERERERGRzysVvYnIyX4IXA988m6cVGC1MeZma217XwGMMWPp6hpnTjpkgR/3Nd9a\na40x/8WpXd0ygF/Tffe2k3MIBVbz6X0AtAH39TVfRERERETkZF6/l7eK3uK35b+lpOMomSXwje1+\nLsm3BPqg0xNCaXI25UnTqI3OBOPqO+hJQiICGDUlkYxpiQxx7aTlnX8kLHfDgHM+ZIdSEDEN96j5\njL74SsYOGzrgWCLy2ROVEMKkRSlMWpRCe6uX4j3VFOZWUbS7mvZmZx0jO9p8dBwLpZZp7DHTSB75\nf0hLLGOk/y2iS5/HeJ09X8jTcIQxDasZA9iJkVQsnsM639+xZquXtOLDTC/fy5CWvp6b1I3DB6l+\n+CDVDz+CPyKSiDlziF68kPDFi3EFBjqPB2TGZPKLOb/gG9nfYNWeVbxw8AXafb1fIitsKOSHG37I\ngzsf5Mvjv8wtmbcQGhA6oPVFREREREREREREREREREQ+j1T0JiKfYq3da4z5f8D3Tzp0DfC2Mear\n1tq9Pc03xtwMPATEd3P4D9ba3f3M41ljzN8D8046dK8xph34V2ttt3dnGWPigeeAqd0c/m9rbXF/\nchAREREREQFo97Xz0sGXWLl7JdXVR5iz2/KtHX5GVILPFUhV/ETKE6dRHTse63J+qSUg2M2o7AQy\npicxfEw0rsNv0/b21zHl23Hah63UxrLDPYmWYZcyJPsypk7MYlTgwLsciciFIyjE09U9cloSfp+f\nssMNH3WBqy1rcRTLWjh2uJljhyPYyI1EJdxOWmoraQEfMqTqKdxNRx3FM+0NJBW/xi28xk1D3ZRn\njOdg4mU8UZhEe84hppftJau6ALd5kvxkAAAgAElEQVTDznKuxgaaX3+N5tdfwx8bR9JddxJz2624\nIyIcxTlheMRwvn/J9/napK/x1N6neCb/GRo7G3udU9FSwX1b7+PhnIe5fdzt3D72dmKCYwa0voiI\niIiIiIiIiIiIiIiIyOeJit5EpDs/AmZzasHZbCDHGPMm8CZQADTSVeA2EbgByO4h5gbgWw7zuAvY\nAUSfNP5t4ApjzG+Ad4CjdHV0ywCWAv8ExHYTbxPwU4c5iIiIiIjI51RjRyPP7nuWJ/OeJKKwiqt2\n+Jm9xxLodVMTm8WecdOoir8InzvIcWy3x0XaxDgypicxIisOj8dA/iu0/+G/CaraQ3A/49TZMD60\nEzgaPZ3QsYuZOnkaVyVHYMzJjbdFRD7mcrsYmhHN0IxoZt00mrqKFopyqynIqeLYgTr8fusoXn1l\nG7sqDbuYSWDIHFLTXaSF5zGi+c8EV21ylpv1MaQplyFNucwBvPPHcTBmDq/X3UD+1gomHt3DtPJ8\nojucdZZz1VRT+etfU/7QH4i79YvE3XWno/mfFB8SzzenfJNlWct4bv9zPL7ncarbqnud09DRwB92\n/YFVe1ZxU8ZNjPKOItbT3eUrERERERERERERERERERERARW9yWeAMWYasAAYDriAUmAdsMFa6+wO\nHOkXa63XGHM98BYw7aTDHrq6vl3jIORW4EZrbYfDPAqNMTcBr8Ep93yOBx5xEO4wcJO1ttNJDiIi\nIiIi8vlT2VLJE3uf4MXdzzIpp4lvb/cz+pihLno0hSOnUZEwGW+A0x5sYFyGlHExZExPIn1SAoEh\nHvB5Yfef6XzvlwTUHKA/5XONNoT/5TLqR15NRvYs5mYmExUa4HyjIiLHRSeGEr0olEmLUmhv6aQ4\nr4bCnCqKdlfT3uJ1FKuj1cvBPXCQ0RjXvzFkRDBp8UdI875BTPkr4Hd2acZTtZexVXsZC9gJSZQv\nms9a+xVW5kLSvt1ML9tLRn1Jv+O5WluoXbmS6sefIGLaVFqXLHaUzydFBEZwd9bd3DHujo86gh7t\no8tdq7eVJ/c+iQsX00KnkVaXRnp0+oBzEBERERERERERERERERERuVCp6E0GLWPMPODX9Nw5LN8Y\n811r7RvnMK3PDWttnTFmAV2FZbeeRqjVwD3W2rYB5rHGGHMl8BxdHeUGYjtwvbW2/3dAiYiIiIjI\n505xQzEr96xky4cvsGBbB7/KtfgDR1CeOI31M6fQEXRyE+r+GTI6iszpSYyakkhIRGDXoLcDtq3C\nu+5XeOqL6E/JWp0N40l7FXbG1/jygmwVuonIWREUGkDGtCQypiXh9/kpO1xPQU41hTlV1JW3OIpl\n/ZbSglZKC+LZwJeISriHtGENjPSsJ7nyKdztvXdHO5lpKif54LPcyrPcGhlC841z2RZ8NSuODqF5\n216mHstjSsV+Qnx9P3fJ5fMSvmkT4Zs2cXjd+yR/9SuETJ06oE6ZQe4gvjDmC9yYcSNvFb3FitwV\n7Kvd1+scP342t2zm+peuZ2HqQpZnLWdiwkTHa4uIiIiIiIiIiIiIiIiIiFyoVPQmg5Ix5l7gN4Ab\n6OlOk3HAK8aYH1prf3rOkvscsdY2AbcZY54C/gu4yMH0dcAPrbVrz0Aea40x2XQVQd5Cz18TJ2sD\n7gN+OtCiOxERERERufDlVefx2I5HaHjrLRbv8HFV1RDKk6aSmz2N1pCEAcWMTwknY3pX0UhE7Cca\nV3e2wvYn8L3/G9xNpf26MFNpI3nMXoNr+nKWLbyI2LDAAeUkIuKUy+1iaEYMQzNiuPSm0bz50hoa\nSyGgNZrSg/VYv3UUr76ynV2VQexiIUEhl5E60k9aaA6pDU8T3JDnLDlvK2EFf2Uuf2UuBu+CaRyM\nmcOrjbeSu7mEsUW7ubg8j6HNfRfWta9bR9G6dbizJpL8ta8QsXAhxu12lg/gcXm4cuSVXJF2BR+U\nfMCK3SvYVr6t1zkWyzvF7/BO8TtcnHwxyycuZ+aQmQMqvhMREREREREREREREREREbmQqOhNBh1j\nzB3A/ScNfwBsBnx0FV4tBlzH//zEGFNurf3TOU30c8Ra+wpdBYYzgWuAS4BMIA4IAGqAKuAwsAb4\nm7V2zxnOoQT4ojHmR8By4Aq6Ch9dJ53aDmwBXgZWWmurzmQeIiIiIiJyYbDWsrlsM39e+yAxf9vK\n1XtjaIlcSHnidDanDxtQzOikUDKmJZIxPYmY5LBPH2xvhK2P4l9/P66WSvpTSlFqY1nhvw4z9U6+\numg8iRHBfU8SETmLAiMgbgwsXDiFtuZOivOqKcyppnhPNe0tXkex2lu9HMiDA2RhXD9j6IgA0mIK\niK15mpS2DRicFNRZPCVbGFuyhbGAHTuSioULWeP7OqvXVbE4dw2TKw/0GcW3O5eSf/wmpKSS/JXl\nRC1diisoyNG+AIwxzBk+hznD57CzYicrclew9ujaPudtLtvM5rLNjI8bz/Ks5SxKXYTb5bz4TkRE\nRERERERERERERERE5EKgojcZVIwxscADxz+1wDHgVmvtByedNwH4C5BBV9evXxtjXrbWVpzLfD9v\nrLUbgY3nOYe9wHeB7xpjgoFUIIKugsg64Ii11nceUxQRERERkUHMb/2sKXiL9//3t2R8UM3i1slU\nJH6b3dnpA4oXHhPE6GlJZE5PIj4l/NTOPK11sPlh/Bt/j6ut9pSndnSn2J/AH/1LcU++nb9fPJ4h\nUSEDyk1E5GwKDgsgc3oymdOT8fn8lB2spyC3isKcKuorWh3Fsn5LSUEHJQXDgO8SFO5jXHoraa73\nGFL1DC5vk6N4praApNoV3MYKbk2NpiB7No/tv42hO/Yyu2QX7r4K6o4UU/aDH3LsN78l8a47ibn1\ni7ijohzlcEJ2Yjb3L7qf/bX7Wbl7JW8UvIGvj0tXedV5fOe97zAicgTLJizj2lHXEuhWl08RERER\nEREREREREREREfl8UdGbDDZfA07cQdICLLLW7jv5JGvtHmPMYmAnEAOEAf8A/Ogc5SmDgLW2Ddh/\nvvMQEREREZHBr9PXyZtbVnP4iSdIOzSCMZFXUztsDPWmP2Von+YOhIgUWHD9FIaMisK4zKknNVfB\nxgexmx/GdDT1q9jtoH8ov/dfT+Ckm7l30ThSYkMd5yYicj643S6GjYlh2JgYZt+cQV15CwU5XQVw\nxw7VY/1OurZBe5ObnTnh7ORqgkKvIzW1k5Eh20mte4qg1gJHsUxbHemlr/KT8FepvmEaj1V+Ad/m\nIywp3kKwr7P3ubU1VP7mN5Q/9AfivvgF4u66k4AhQxytf0JmTCY/n/NzvjH5Gzy2+zH+sv8vdNre\n1y9qKOJHG3/E73f+ni9P+DI3Z95MWEBYr3NEREREREREREREREREREQuFCp6k8HmuuMfLfD77gre\nTrDWHjXG/I6uQjcLXI2K3kREREREROQTmtob+euzv6Hx9QKCvRcREPsvHE0LcBwnIMhNenYCGdOT\nOFi2C+OCoRnRp57YcAw23I/dthLT2UI35XCnyPOP4AHf9QRlLeWbS8YyMl4FDSLy2RadFMrkJalM\nXpJKW3MnxXuqKcypomhPDR2tXkex2lt8HMh3cYBpuFzTGZLqIi3qIGntLxJdt85RrLiqrXzHbKXl\nsgye7biWgg31XFWwkaiOll7nudpaqV21iponnyTiqqtJuGc5wWMyHa19wrDwYXz/ku+T1ZjFuqZ1\nbGzdSGNnY69zKloruG/rfTyc8zC3jb2N28fdTmxw7IDWFxERERERERERERERERER+axQ0ZsMNp+8\nW+Stfpy/hq5CNwOkn42ERERERERE5LOn4shB3n1oFZ2HwmmKnI4vejbNDmO4PYYRE+PJmJZE2sQ4\nPIFuAA5VdHNybRGs/y12xxMYX0e/it12+Edzv/d6QsZfxT8vySQjKcJhhiIig19wWACZFyeTeXEy\nPp+fYwfrKTzeBa6+stVRLL/fUlLoo4SRrOefiUn4F9KSykmzb5Nc8xdctqNfcULrD7CMAzRfHMuL\n0y9jZ24EVx3YQHJLba/zjM9H0ysv0/TKywTPnk3iV75C6MXTMaY/7/qfFuGO4Oqoq/nx1T/muf3P\n8Xje41S1VvU6p6GjgT/m/JFVe1ZxU+ZN3Dn+ToaED6zznIiIiIiIiIiIiIiIiIiIyGCnojcZbEI+\n8ffeH7F86jkhPZ4lIiIiIiIiFzy/z8+OF94i7695tPhH4Q1YADHOYhgDw8fFkjk9iZHZCQSF9HHp\npOogfPBrbM6zGL+3X8VuG33jud93PaGZC/nOZZlMGBrlLEkRkc8ot9vF8DExDB8Tw6U3j6auvIWC\n4wVwZYfqsdZZvNrKTmorY9nBFwgKvY0Rw1tIC9pMat1TBHWW9Tk/rLOGO3iG2yZFsH7O1TyyJY4F\n+ZsZXV/S59y2Dz6g+IMP8IyfQNJXv0LEksUYt9vZBoDwwHCWZS3j9nG38/Khl1m5eyVHGo/0vrav\njdV7V/Ns/rNclX4Vd2fdzajoUY7XFhERERERERERERERERERGcxU9CaDzTFg5PG/ZwEb+jh//Cf+\n3t2z9kVEREREROQCZq2lbG85W595j2OlgXR6osA9CRzWHSSnhpI5azijpiQSGhnY5/lhzUXw57ux\ne17AWH+/it3W+ibxgHcpYRlz+NclmUxKiXaWpIjIBcQYQ0xyGDHJYUy5bARtTZ0U7alm09t5NJeB\nv9NZvPYWH/v3B7GfObhccxmaYkmL2EtazaNE+Q/2OtfV0cicqmeYPSqAPdMvY8XuWWTn7WJqxf4+\n1/Xm7aHkW9/CDBtO0leWE3X99biCg50lDwS5g7gl8xZuGH0Dbxe9zYrdK8ivye99bevl5UMv8/Kh\nl1mQsoB7Jt7DRQkXOV5bRERERERERERERERERERkMFLRmww26/i46O0fjDF/stb6ezn/3uMfLfDh\nWc1MREREREREBo2aY83sfS2X/G3ltNkIIMHxVY6YaBg7P53R05OIjOtn8/CSbUzc83MSqjcD9KvY\n7U3fdB7wLiVi5HT+z2WZTEuLdZaoiMjnQHB4AGNmJFPSnIf1QWZKNoXHu8A1VLU5iuX3W44WwVHG\n8QG/JDa6jazAlxjLCwS42nucZ/ydZFW9xn3JUJw1lz8V3ELyroPMLdmFu9dLlGBLjlL2ox9z7H9+\nR+KdXyLmtttwRzsvbva4PFwx8gouT7uc9aXrWZG7gq3lW/uc9+6Rd3n3yLtMT57OPVn3MHPoTIzp\nz3cpERERERERERERERERERGRwUlFbzLYPAbcefzvE4EVxph7rLW+k080xvwGmPGJodVnPz0RERER\nERE5XxqqWzmw4Sj57xVQ13TikkaEoxjBnmbGz0pl7MLRxCSH9X9i0UZY90s49A4J/TjdZw2v+mfy\noHcpkakX8e+XZTJrVLyjXEVEPq+MG1LGxpIyNpbZt2RQe6yFwtyuAriyw/VY6yxeTV0w6/gim4Ju\nIStqHRPt44S5a3udk1q1jp9ErKP6mot4tPp6fNvKubxoM8G+3lvQmbpaKn/7Oyr++Aixt9xM3F13\nEjBsmLOE6eqEN3vYbGYPm83Oip2s2L2CtUfW9jlvS9kWtpRtYVzsOO6eeDdLUpfgdjlsfyoiIiIi\nIiIiIiIiIiIiIjIIqOhNBhVr7XvGmL8AN9HVve3LQPbxAretgA+YBPwjMOv4OQDrrLWvnIeURURE\nRERE5Cxqaejg4LYK9r1fSEVpx/FRZ5czPL56kkZaZn5xPonpMf3vfGMtHF4L6+6Dog/6NaXTunnB\nN5uHfNcRMWws/74kk3mZCeq2IyIyQMYYYoeGETs0jCmXj6C1qYPi3dUU5FRTnFdNZ9spz8rqUXu7\ni20V89nhmkdmbB6T7CPEBxT1OieuLofvuXNoWTiCZzoup2BzG1cf3khUR3Pvebe1UvvEE9SsXk3k\nVVcRf89ygseO7Xeun5SdmM39C+/nQO0BVu5eyesFr+M79Rlhn7K3Zi/fe+97pEaksixrGdeNuo5A\nd+CA1hcRERERERERERERERERETkfVPQmg9FdQBowla6itouAlT2ca4DDwBfORWIiIiIiIiJy9rW3\nejm8o5L9m45Rsq8Wi/OCMU9nEwFBh5lw7WQuvvx6jMtBDGth/5tdxW4lW/uXsw3gWd98/ui9hsgh\no/j3JZksHpeoYjcRkTMsJDyQMZcMYcwlQ/B5/ZQeqKMwp4rC3Coaqtr6FcPvN+RXTSCf/yExvJCL\nA54gNXA7vb1lhzYVcTcP03lJHK/PuZo/bw7iyoMfMrS5ute1jN9P46uv0vjqq4TMmkXCV+4h9JJL\nnGz5IxkxGfxszs+4d/K9rNqziucPPE+7r73XOcWNxfx444/5/c7f8+XxX+aWMbcQFuCg06mIiIiI\niIiIiIiIiIiIiMh5oqI3GXSstc3GmLnAw8AdfZz+DnC7tbby7GcmIiIiIiIiZ4u3w0dhbjUHtpRT\nlFuFz3eisXf/i8bc3jYCW3Mx41pZ8tW7GJ54nbMk/D7Y+zKs+xWU5/ZrSosNYrVvEY94ryYyMYXv\nL8nkignJuJwU2YmIyIC4PS5SxsWSMi6W2V/IoOZYc1cBXE41ZQX1XY/T6kNFUxqv8n+JCW8kO+Bp\nMgPfxmM6ezw/oK2apW2Pc+3EEDbMupKHt89h/r6tZNYd7XOt1g0bKN6wgYCx4wieNZO2ydlOtvuR\nYeHD+PcZ/87XLvoaq/eu5pl9z9DY0djrnMrWSn617Vc8nPswt429jTvG3UFscOyA1hcRERERERER\nERERERERETkXVPQmg5K1thX4kjHmf4DlwAJgOOACyoH1wBPW2r+dvyxFRERERETkdPh8fo7k1XBg\nazkFO6vobPc5jmH8nUTX7qE2fBfBSzNZesU/EBMc4zARL+z+M7z/K6ja368pDTaEx32X8aj3SiLj\nkvn3xZlcO2kobhW7iYicF8YY4oaGEzc0nKlXpNHa2EFhbjV73i+hvKChz/m1TRG8y1f5MGgZWSGv\nMzHweUJcPc9zeVuZXfs8l6a7yZuykBX5M7gobw/Ty/P7XKszfy8x+XvpiI2jpqKC6BtvxBUS4mi/\nAHEhcXxzyje5O+tu/rz/zzye9ziVrb0/G6yxo5GHcx7m8T2Pc2PGjdw54U7H64qIiIiIiIiIiIiI\niIiIiJwLKnqTQc1auw3Ydr7zEBERERERkTPD+i2lB+s4sKWcQ9sraWvuuZtOL0GIqd2Hq30re8YW\nEPX1L7Fs4kOEBoQ6i+Nth51PwQe/gbqifk2pteGs8F7J477LiIiO5/8syuDGKcPwuF3O9yEiImdN\nSEQg42YNYezMZMoON7Dz7WIO76zss/tba3sAW9qXst19LWMiPmSS52liPT13cTPWx4Tat7gv6S2O\njJ3BI4U3kLC7iPlHd+Kx/l7XCqyppvw//4vy391P/Je+RMwdt+OJcVi4DYQHhnNX1l3cNu42Xjn0\nCit3r6S4sbjXOW2+Np7Kf4pn9z3LlJApLIpc5HhdERERERERERERERERERGRs0lFbyIiIiIiIiJy\nVlkLbbWw/s8HOLitgqba9gHFiao/RFzVNg7F7eD9uVFcfsU/8IORVxPgDnAWqKMFtj8O638LjaX9\nmlJpo3jYezWrfYsJCgpmaWYA//eO+QR6VOwmIjKYGWMYMiqKIaMmUl/Zwq41R9m74RjePrqL+nwu\n8upmkccsRkTuJ9v9JMMCczG9NPRMqd3ET6I2UXPFWFbUXI13Zy2XF24mxNfRe5L19VQ98ACVjzxC\n7M03E7vsLgKHD3e81yB3EDdn3swNo2/greK3eDT3UfbW7O19n9bHlpYtbGnZwodrPuSeifcwKWGS\n47VFRERERERERERERERERETONBW9iYiIiIiIiMhZUVvWzP4t5Rx+DzqaAI44jhHedJSk8q34vNtY\nm1VH9U1Z3HHxz/iHlAW4jMOCs/ZG2PIn2PAAtFT1a0qJjeMP3mv5X998IsIj+O78UQxrPUyA26jg\nTUTkMyYqIZS5X8zk4mtGkvdBKVvePIS3te95RQ2ZFPET4sMqyfasZnTwetzG2+P5sY35fC8gn5Z5\nQ3lm5uUc3ubjqsMfEtPe1Os6pr2d2tWrqXn6aSKvuIK45XcTMmGC023idrm5Iu0KLh9xORtKN7Bi\n9wq2lG3pc97aI2tZe2Qt05KmsXzici4deimmtyo/ERERERERERERERERERGRs0hFbyIiIiIiIiJy\nxjTWtHFgSzkHtpZTdaT3m/t7EtJSQVLFVmKrt5GbUs6KeS7iZlzK8on3MC1pmvMb8FtrYdMf4cOH\noK2uX1MK/Un83ncdL/jmEB4awrfnjeJLM0cQGuhhzZqCAexKREQGi+CwAKZcPoJa1yEajkJHaXi/\nvmdVNSfwNt9iY9tXmRj4AhNC3iTY1fO80JZS7mYlndOjeGPmlTy/PYLLD2xieHPvhdfG76fx9ddp\nfP11Qi6ZSfw9ywm7dJbj73/GGC4ddimXDruUXZW7WJG7gnePvNvnvK3lW9lavpWxsWNZnrWcJSOW\n4Ha5Ha0tIiIiIiIiIiIiIiIiIiJyulT0JiIiIiIiIiKnpbWxg4PbKjiwpZxjh+oHFCOwvY6kim0k\nVWyl2V3MO5NdvLfUzazx1/CfE+9mbOxY50GbKuHDB2Hzn6CjsV9T9vuH8aB3Ka/6ZxIWHMQ/LUrn\nrktHEh6kSygiIhca44aoEbDgrumU7q9j59vFFOZW9zmvuT2UD9vvYGvLrYwLWcNFwc8T7Snr8fyA\njnqu63iGayYEsWH6Eh7OmcXc/TsZW1vc51qtH27kyIcbCRgzhoR77iHyyiswHuffkyYlTOJ3C3/H\nwdqDrNyzktcOv4bP+nqdk1+Tz/fWfY+UiBSWZS1j6ailBLoDHa8tIiIiIiIiIiIiIiIiIiIyELpj\nS0REREREREQc62j1cnhnJQe2lHMkvxbrt45jeDqbSKzcSVLFViLqD7ItA569yrBvVAhLM27g6Ql3\nkRKZ4jy5hlJY/zvY9hh4W/s1Zbc/jfu91/M3/zRCAwO4d/ZIls9JJyokwPn6IiLymWKMYdiYGIaN\niaG2rJld7xwh/8MyfJ3+Xud5fW5ym5aQ27SY9LCdTAp6jiEBe+mpIZvL187sxle5dKRhe+Y0/lS8\nlIn5+5lRvrfPHDv37aP0e9+j7Ne/JmHZMqJvvglXaKjjvY6OGc1PZ/+Ue7PvZdWeVTx/4HnafG29\nzjnSeISfbPwJD+18iC+N/xK3ZN5CeGC447VFREREREREREREREREREScUNGbiIiIiIiIiPSLt8NH\nYW41B7aWU5Rbjc/bezFAd9y+duKrdpFUvpXY2nxqw328NcnFO9kuOmMjuHXsrfx23B3Eh8Q7T7C2\nED74H9i5Gnwd/ZqyzZ/B/d7rWevPJiTAw1fnjOBrc0cRG6ZONiIin0cxyWHMv2MsM5ams/u9EnLX\nHqW1sbOPWYbDzZM53DyZxJBisgP/l1HBG3GZ7r9PGixTO7cwdcgWjo6ZzMNHryN+dynzj+wgoI/u\na/5jxyj/2c8of+BB4v/udmLuuANPXJzjfQ4NH8q/zfg3vjbpa/z0jZ/yfuP7tNreC8UrWyv59bZf\n80juI9w65lbuGHcHcSHO1xYREREREREREREREREREekPFb2JiIiIiIiISI98Pj9H99ZyYEs5h3dV\n0tnW+8343TH+TuJq8kgq30p8dS7G38mudMOjCwzbR7uJDUvgruOdYyICI5wnWXUA3v815DwLfRQL\nnLDeN4EHfNez0T+eQI+bu2eO4O/njyIhIsj5+iIicsEJCQ9k+tUjmXxZKvs3l7PrnSPUlDb3Oa+i\nNZW/tX6X8NZ6JgU9z7iQtwlytfR4/vCGHfwkcge1S9JZWXMZrbnNXFG4iVBve+8LNdRT9fuHqPzT\no8TcdANxy5YRmJrqdJvEBsdyddTVLIpYREVyBY/nPU5la2Wvcxo7Gnkk9xEez3ucG0bfwF1ZdzEs\nfJjjtUVERERERERERERERERERHqjojcRERERERER+RTrtxw7VM+BLeUc3F5BW1NfHW66DUJM7T6S\nKraRULWTAG8r9aHwysWGt7PdVMQYUiJS+I+sZVw36jqC3AMoNivbDe/fB3teBGy/pqzxZfOA93q2\n20wC3Ia/uySFbyzIIDkq2Pn6IiJywfMEuBl/6VDGzRrCkbwadr5zhCN5NX3Oa+qIYn3HMja33MH4\noDe4KOw1It09F5PFNB/m20GHaZ2dyDPTL+PQ/2fvvqOjuu+8j7/vjEbSqIB6o6MKKgjRTLNNdQXj\nbuMYU+w0MCbJk7K7zz67T7L7ZHcTx70kdsAldpwYdxsXuhFNVFEkJBAICUlIQkK9zsx9/pAhBqTR\nDHZiMJ/XOTocz/197+97z7EPd+T7ud9cKzcUbSOsvdHtPkZHO3V/foPTf/krfWbOIHzRIuzp6V5f\np7/Fn/lp85k7bC4fFH3A8gPLKWkscVvT7mznjYI3eLPwTW4YcgML0xaSGJro9d4iIiIiIiIiIiIi\nIiIiIiLdUehNRERERERERDBNk1OlTRTuqOTIzkqaTvcyYaYHfeqPEl21k6jqPfh1NABwcCCsHmkh\nJ8nA4WMwLGwYP01fyIyBM7BarN5vcmJXV9itYJXHJR87x/C0Yw4HzSFYLQZ3j+rPkqkJDAgL8H5/\nERG54hiGwcDUcAamhlNT1sTetaUU5pzE5XAfuu50+pLbcgv7WmcR77+NTPu7RPse7nG9va2KBfwJ\nR1Ygq8Zex7t7w5hxZAcDmtxPXzNcLho/+ZTGTz7FPnYsEQ89SOCkSRiG4dV1+lp9uT3pduYkzGFN\nyRr+uP+P5Nfmu61xmk4+PPohHx79kGv7X8ui9EVkRmV6ta+IiIiIiIiIiIiIiIiIiMj5FHoTERER\nERERuYKdPtnM4R2VHN5ZRV1ly0WdI7CpjOiqHURX7cLe1jX9ptkP1ow2WDPSQllE1wP3Y2PGsiht\nEePjxnv9ED4AxZu7wm5F65IGiYAAACAASURBVDxa7jQN3ndN4FnHLRw2+2MYcNvIfiydlsjgiEDv\n9xcREQHC+wUxbd4wrrplKAc2lnFgYxltze6nopqmhSOtEzjSOoFYvwIy7e8w2G8HFsPV7XofRzOz\nHW9z83Ab20ZP4YUDVzGhcD+ptcW99teak0NpTg62xEQiH3qQPjfcgGGzeXWNVouV6wZfx8xBM9la\nvpU/HvgjOSdzeq3bcGIDG05sYFT0KBalLWJSP++DdyIiIiIiIiIiIiIiIiIiIqDQm4iIiIiIiMgV\np7muncKcSg7vrKS6pPGizuHfWk101U6iK3cR1FJx9vPDsbA6y8KWYQYdNgMDgwx7OtODp7PgugXe\nb2SaXSG3z38LJVs8Kuk0rbzlnMxzztkcN2MAuCkjlh9NTyQhKtj7HkRERLoR2NePcbOHknX9IAq2\nnSR3balHAfKK9mQq2n9BsE8VmfZ3SbGvx9fS1u1ai6uTCU2fMWEw5KVPYMXhWSQfOsqEkwd73afz\n8GHKf/ZzTv7uMSIXzCfkjjuwBHoX+jYMgwn9JjCh3wRyq3NZvn8560p7D5/vqtzFrspdJIcmsyh9\nETMGzcDHov8dISIiIiIiIiIiIiIiIiIintP/ZRYRERERERG5AricLo4frCUvu5zj+09hmt6fw7e9\njuiq3URX7SS48Thn5ra02SA71WD1SAvHYro+9bH4cOvQWcxPm0/xruKLaNgFhZ/A57+B8t0elbSb\nNt5wXsvvHbMoJwKAGcOj+dH0JIbH9fG+BxEREQ/YfK2kXd2P1ElxFB+oIXdNCWWFdb3WNTqi2NT4\nXXJavkOq/8dkBHxEoPV0j+uHN27hf2K2UBafygvlNxKSV83Ukt3YTKfbfVwnT1L56/+i8ulnCJ87\nl7D7v4NPRITX1zkicgRPTH2Coroilh9Yzqqjq3CYDrc1BacL+NnnP2NA8ADmp87nloRb8LP6eb23\niIiIiIiIiIiIiIiIiIhceRR6ExEREREREfkWazjVSt7mcg5tqaC5vsPrep/OZqKq9xBdtZOQuiMY\n/C0tVxIJn420sCnVoNW/K+xm97FzZ9Kd3D/8fmICu6asFVPs+YYuJ+S9C58/ClW9T7EBaDb9+JNz\nOi86bqSaUACuTY7kxzOSyOgf4vneIiIiX4FhMRiSEcGQjAiqjjeQu7aUIzurcLncJ83bnQHsbr6d\nvS1zSPT7nBGB7xNpK+5xfb/mg/x734PUTR3AitNTaD7YwfXHcgh0dD8t7qzGRmp+/3tqVqwgZM4c\nwhbMx2/IEK+vMz4knv+c9J8szlzMK3mv8FbhW7Q53e9d2ljKr7b9iudyn+P+4fdzV9JdBPkGeb23\niIiIiIiIiIiIiIiIiIhcORR6k0uCYRgJpmke+ab7+EczDMMABpmmWfxN9yIiIiIiIt8eToeLY7mn\nyMsuo/TQafByqpvF2U7kqX1EV+0krDYfy5cmyHRYYVuKweosCwX9AKMr7BbqF8rcYXO5N+Ve+vr1\nvYimO2H/m7DpUajx7Othg2nnJed1rHBcz2m6JrlNiA/nJzOTGDUozPseREREviZRg/owY2EqV82J\nZ/+GExzcVE5Hq/upaC7TSkHbFAraptDPdx+ZAe8zyG83htH9X+QhraX8yP8V2saH8caoGRze78/1\nRduJaGtw31xHB3V//Sun33yT4OnTsWWOoPMiwm9xQXH8Yuwv+F7G93gt/zX+fOjPNHS43/tU6yke\n2/UYL+57kXtS7uG+YfcRbg/3em8REREREREREREREREREfn2U+hNLhUHDMN4HvilaZq133Qz/wiG\nYdwE/DfwV+CX33A7IiIiIiLyLXD6ZDN52eUc2naStqZOr2oNl4Pw2jyiq3YScWo/Vte5U+EqQmH1\nSAsb0w0aA4yzn8cGxjI/dT63Jt6K3cfufdOOdtjzJ9j8ONSVeFRSawbxouNGXnXOpJEAAMYMDuXH\nM5IZH68H50VE5NIRHObPhNsSGH3jYPK3VLBvXSkNp3qZyAaUdWRQ1pFBqE8ZIwLeI9m+ER+j+4mt\n/h21zOcvODLtfDxqGh8ciGHq4V0Maqx0u4dhmjStXk3E6tW0JyTQaLEQdPXVGBaLV9cY6h/KkpFL\nWJC2gJWFK3nl4CtUtVa5rWnsbOSF/S/wSt4r3JpwK/PT5tMvqJ9X+4qIiIiIiIiIiIiIiIiIyLeb\nQm9yqfAFHgbmGYbx/4CnTNNs/4Z7+rswDGM08D/ANd90LyIiIiIicvlzOaBgWwUHs8upOFLvXbHp\nIrSukOjKnUSe2ovN0XrOYacBO5IMVo80ODDYwDT+FnZLCElgYdpCrh9yPTaLzfvGO1pg10uw5Ulo\nrPCopMoM4feOm/izcxot+AMwYkAIP5mRxOTECIwv9SciInIp8fX3YcTUAaRf259je6vZ+NYBWmt6\nrzvt6MeGhh+yrel+0uyrSA/4mABr93/f+zhbmeX8kJuTrWwbMZk/5o9m7OE80muO9bqP35EjnPj+\nD7AlJBCxaBF9b7oRw9fXq2sMtAXyQOoD3JtyLx8UfcCKgys43nDcbU27s503Ct7gzcI3uX7I9SxM\nW0hSaJJX+4qIiIiIiIiIiIiIiIiIyLeTQm9yqQmha/rZTwzD+B3wnGmaTd9wT18LwzAmA/8MzDzz\nEWB+cx2JiIiIiMjl7NSJRk7uhvrjUNCZ71WtX1stcRVbiD25Ff/2ugvP3QfWZFpYn2FwOvjcIFlm\nZCYPpj/I5P6TsRjeTYIBoK0BdrwIW5+BllMelZwwI3jeMYs3ndfQTtcD+MNj+/DjGUlMGxalsJuI\niFw2LBaD+Kwojtd1/TXoUxfJ0T3VmL38lrDNFczO5rvZ03IbSf4byAx8nzCfE92uNUwn41s3MH7w\nBg4NH83LR28gvqCU8RUHsfTy68jOI0eo+Kd/ouqxxwifP5+Qu+7EGhTk1TX6Wn25Pel25iTMYW3J\nWl7c/yL5te7vVZymk4+OfsRHRz/imv7XsCh9ESOjRnq1r4iIiIiIiIiIiIiIiIiIfLso9CaXGpOu\nMFg08F/ALwzDeAp4xjTN6m+0s4tkGMZNwM+BiWc++gbbERERERGRy1hHm4PDOyrJyy6n6nijV7WG\ny0lEzT7iyjcTdvoQxnkPvbuAvfFdU912xxuYlnO/ulzd/2oWpS0iKzrronr36WyE9b+G7c9Bm2cT\n6Y65onnWeQvvOifR+cWvMJKig/jR9CSuS43BYtHXKxERuXwFRMDUu9JpONVK7rpS8jdX0NnudFvj\nNG3kt84gv3UGA313kxn4Pv19c+kp/53SspNfx+ykYkgifzg5g+D8OqaV7MbX5XC/T1UVVf/zP1Q/\n+yxh995L6P3fwRYV5dX1WS1WZg6eyYxBM9hasZXl+5ez/eT2Xus2ntjIxhMbyYrKYlH6Iib3m6yA\nu4iIiIiIiIiIiIiIiIjIFUihN7kUnXny0gBCgX+lK/z2DvAH0zTXf2OdecgwjCjgwS9+Bp35+Is/\nzfP+WUREREREpEemaVJZ3EBedjmHd1bh6OVh+PPZWyq/mOq2Hd/OC4NydQGwLtNg7QgL1SHnfk2x\nGlZuGHIDC9IWkBSadHEX0FRF/NFX6FfxMTjbPCopcPXnGcccPnKNw4kVgCERgSybnsjNGXFYFXYT\nEZFvkT4RdibflcTYm4dwMLuc/etP0HS6vde6ko4sSjqyCPcpZkTA+yTZN2E1ug+zxbYe5t/6Hqb+\nmlhW1E+hKc9k5rEcgjtb3e5hNjVR88IL1Lz0En1vmU34woX4DR3q1fUZhsGEuAlMiJvAvup9LD+w\nnLUla3ut2121m91rd5MRmcGyrGWMiRnj1b4iIiIiIiIiIiIiIiIiInJ5U+hNLhW/BR4BbPwtFPbl\ncJgvcBdwl2EYh4FXgZWmaRb8oxvtiWEYgcDNwN3ATXT99/XlJzHNbsoOAu/9/bsTEREREZHLTVtz\nJ4U5J8nLLqemrNmrWourk8jqPcSVbyak/ki3b9wojIOPR1vYlmLgtJ67ws/qx22Jt/FA6gP0C+p3\ncRdQXwZbnoRdLzHI4VnYbZ9rCM845vCZaxQmFgD6h9p5ZFoit47sh4/VcnG9iIiIXAb8AmxkzRzE\niGkDKNpdxd7VpVSX9D7ZtcYxmHUNS9nWdD/pAatIC/gUf0v3dX3bK1jm/zrtY/vwl8xpFOT14bqi\nHCJbe5nC2tlJ/cq3qF/5FkHTphG+aBEBWSO9vsaMyAwen/I4R+uOsvzAcj46+hEO0/3UuX3V+1j4\n6UIm9pvIBMcE+vv293pfERERERERERERERERERG5/Cj0JpcE0zR/ZhjGy8CzwGTODYidPxktCfgl\n8EvDMPKAlcDHwE7TNF3/oJa7GjKMOGAacCtwHeB/Xq/dBd0MoAn4v8Djpml6N6ZBRERERES+tUzT\npPxwHXnZ5RTtrsbp8O4rTmBTGXEVW4ipzMHmaLnguMMC21IMVo22cKTfhVG4YN9g7k25l7kpcwm3\nh1/cRdQeg82Pw57XwNXpUclOVxJPOW5loyuDM1+nYvv6s2RqAneOGoCvj8JuIiJy5bBaLSSNiSFx\ndDQVR+rYs7qU4v2nuv9N45e0uELZ3nQfu5rvIMV/HSMCPyDEp6LbtX6OBuZZ3sGZ4csHqZP48MgE\nrj28hyENJ3vtr2ntWprWrsWelUX4g4sIuvZaDIt3f1cPDRnKf0z6DxZnLuaVvFd46/BbtDrcT53b\nXLaZzWwmKyCLxIZEBvQZ4NWeIiIiIiIiIiIiIiIiIiJyeVHoTS4ZpmkeBK4xDGMe8Gsglu7Db/C3\nUFkqMBz4P0CjYRibgPXATiDXNM1eXlHsOcMwrEAKMIKuYN5UIKGbns7v9fzjfwF+Yppm+dfVm4iI\niIiIXN5aGjo4tK2C/M0V1FVeGFZzx+psJ6pqJ3HlW+jTWNztVLcGO6weafBZloXTwReuiLJHMS91\nHnck3UGgLfDiLqK6ADb9Dva/CR6+2yPbmcrTzlvZ5hrGma9MkcF+LL42nnvGDsTfZr24XkRERL4F\nDMMgLjGUuMRQ6ipbyF1byqGtFTg63YfiHaYfB1pv4EDrdQz228nIwPeIteVhdHOTYHV1MMdYxy2J\nBjlp41lReCNZhwsYcaqo1/5ad+/mxA93Yxs6lIhFC+kzaxYWX1+vrjE2KJafj/053834Lq8fep3X\n81+noaPBbc3ult3Mfnc2dyTdwfdGfI8Ie4RXe4qIiIiIiIiIiIiIiIiIyOVBoTe55Jim+YphGG8C\ny4CfAiFcGCL78vS3M49r9AFu/OKn66BhnAD2AcXAiS9+yoAGoPWLnza6/lsIAOxf/BkN9Af6AQOA\nYXSF67781Mb5j4n09K7lM+vWAr8wTXNXT9cuIiIiIiJXDtNlUppfS152OcdyT+Fy9TK+5TzBDcXE\nVWwhumoXPs62btccj4RVYyxkDzfotF34pPvgPoNZkLaAm4fejK/Vu4fUz6rYB5sehbz36HUEzRfW\nOkfyjOMWdptJZz8LC/Tl+9cM5f6rBmP3VdhNRETky0KiA7hmbjLjZg/lwOdl7N9wgpaGjl6qLBS3\nj6W4fSyRPkfIDHyPeP+tWI0Lw+kGJuPatzBu0BYKkzN4+fhMBhVUMLH8AJZe/n7vPHqUin/531Q9\n/gThD8wj5O67sQYHe3V9of6hLM5czILUBawsXMnLB1+mqrWqx/UO08EbBW/wXtF73D/8fhakLiDI\nN8irPUVERERERERERERERERE5NKm0JtckkzTbAV+bRjGc8A/Az+kK4x2/rS385+4OP8pzgF0hde+\nqu6GJfT2NOeZmhzgn03TXPc19CEiIiIiIpe5ptNt5G/pmurWWNt9WK0nPo4Woit3EFe+meDmsm7X\nuIBdiQarxhgcHGjQ3ViX4eHDWZS2iGkDp2G1XGTA7MRO+Pw3UPiJR8tdpsHHrjE865jDQXPw2c/7\n+PvwvWvieWDCYIL89GsKERERd/yDbIy+cTAjZwykcEcluWtLqClr7rWu2pHA6vqfsLWxmozAjxhu\nX42fpfvpsklt+/jP6H1UDhzMi5VTsB9qZmrJLvxcDrd7OKurqfrto1Q/9zyh99xN2Lx52KKjvbq+\nAFsA81LncVfyXbxx6A1e2P+C28lvrY5W/rDvD/y14K88lP4Qd6fcjZ/Vz6s9RURERERERERERERE\nRETk0qSnyeSSZppmHfAzwzD+G1hCV/gtkq7AWXcBuO6CaN0F1i6qnR7O3V3wzgRWAb81TXPD17S/\niIiIiIhcplxOF8X7a8jbXE7JgRpM74a60bfuCHEVm4mq3oPV1dntmhY/WJdh8MkoC1Wh3X8NGhcz\njoXpCxkfOx6jmzBcr0wTjm/uCrsd3eBRidM0eM81kWcdszli/u2dJEF+PiycNIRFk4bQ127zvhcR\nEZErmNVmYdiEWFLGx3Ai/zR715ZQcrC217omVyRbGuezo+luhtnXMCLgQ/r4dD9RLbq9mH8JKaZx\nciQvNUyh7pCV647mENzZ6nYPs7mZ2j8up/blV+g7ezbhCxfgl5Dg1fX5+/gzP20+tyXdxksHXuLV\nvFdp62GyLUBdex2/2fkb/pT/J36Y+UNmDZ118cF+ERERERERERERERERERG5JCj0JpcF0zRrgP9r\nGMZ/AfPpCr+lnznMhQE4ejj2VZ05t3nen2c+bwLeAB4zTTP/a9xXREREREQuQ/XVreRvLid/awUt\n9R1e1do6Gomp3E5cxRYCWyp7XFceCh+PtrAx3aDNr/sg27SB01iYtpCMyAyvejjLNOHI2q6wW+k2\nj0o6TCsrnVfzvHM2JebfprzYbVbmTxzMdycPJTTQ9+L6EREREQAMw2DA8DAGDA+jpryJ3LWlFGw/\nicvh/leinaadfS2z2N9yE0P9t5IZ8D4xvoXdrg3urOZh+1/pGB3ImxlTyDsUzowjO4hurXPfnMNB\n/dtvU//22wRdey3hDy7CPmqUV8H7Pr59WJq1lHtT7uX53OdZWbgSF64e11c0V/Cvm/+Vlw68xNKs\npUwZMOXigv4iIiIiIiIiIiIiIiIiIvKNU+hNLiumabYDvwd+bxjGSGABcA8QcWYJf59pb+eH3L58\nThNYB7wMvGWaZstX3EtERERERC5jzk4XR3Orycsu58Sh017Xh9bmE1exhchT+7CYjh7X7R1i8PFo\ng73xBmY3D3P7GD7cNPQmFqYtZGjIUK/7AMDlgoJVXWG3ir0elbSZNv7snMofHDdTQfjZz20WmDdh\nCN+/Jp7IYL+L60dERER6FB4XxNT7h3HVLfHs33iCAxvLaGvqfkLsGSYWitomUtQ2kRjbITID32OI\nXw4W48Jgma+zmfusH+JM82F1+mReLryKSYX7iG8o77W3pg0baNqwAf8RIwh/cBHB06ZhWCweX1tk\nQCT/Ov5fSWxIZFX9Kva07nG7vqi+iEfWP0JmZCbLRi1jVPQoj/cSEREREREREREREREREZFLg0Jv\nctkyTXMPsMcwjB8DU4GbgBuAhPOX8vVMe/vyU6QtdAXdVgEfmKZZ9jWcX0RERERELmO1Fc3kZZdT\nsO0kbc3uHzA/n297HbEntxJXsRV7W02P69ps8HmawcejLZRFdP9uD7uPndsTb2fe8HnEBsV61cdZ\nLiccfAc2PQpVeR6VNJt+vOqcyYuOGzlF37Of26wGk+Ms3DTExu03Dr+4fkRERMRjAX18GTdrKKOu\nG0TB9pPsXVNKXWXv7+k62ZnCJ3Up9LGeJCPgQ4bZ1+JrabtgndV0cL25nusT1rNj2BheKbqO9MNF\njKw+0usebbm5lD28FNvgwYQvXEDfW27B4ud5GD7KFsX8iPn8fMTPeXL3k2wp3+J2/d7qvcz/ZD5X\n97+apSOXkhyW7PFeIiIiIiIiIiIiIiIiIiLyzVLoTS57pmk6gM+++HnEMIxE4BpgzBc/aXz1f9cr\ngJ3ADmAbsOmLqXMiIiIiInIF6+xwUrSrirzsciqK6r0rNl1E1BwgtmIL4bUHsZgXTlQ5o7oPfDLK\nwroRBs327sNufXz7MHfYXOamzCXUP9S7Xs5wdsK+v8Cm30FtkUclDWYAK5zXs8JxHXUEn/3cajG4\nc1R/lkxNoHDPtovrR0RERC6aj6+V1Mn9GD4xjuMHa9i7poSygrpe6xqcMWQ3PkhO072kBnxKRsAq\ngqzdh/LHdO5gzMAdFCWk8FLpdPoVVjOpbB/WXt5B1llczMn/829UP/EkYfPmEXrP3Vj79nVb82Wp\n4an8fsbv2V6xncd3Pc6BmgNu139+4nM2ndjETUNvYnHmYvoH9/d4LxERERERERERERERERER+WYo\n9CbfOqZpHgYOAy8CGIbhByQCg7/4GQSEAYFAwBc/nXRNb2sGGoEyoPiLnyLTNCv/cVcgIiIiIiKX\nuuqSRvI2l1OYU0lHq8OrWv/WU2enuvl1uA/K5Q2Aj0db2JFk4LJ0H3bra+3LQyMf4o6kOwi0BXrV\ny1mdbbD3T5D9BNSXeFRSYwbzR8eNvOqcQSMBZz+3GDBnZD8emZbIoPCufgovrisRERH5GhgWg8Hp\nEQxOj6C6pJHctaUc3lGJy+U+mNZhBrKn+TZym2eT4L+ZzMD3ibQd7XZtfMchfhV9iOr+/fhj9WR8\nCjqYVrILf6f76bfOmhqqH3uMU7//PaF33UXYA/OwxXo+qXZc7Dhev+l11pSs4cndT1LcUNzjWhOT\nD49+yCfFn3BX0l18N+O7hNvDPd5LRERERERERERERERERET+sRR6k2+9LyayHfjiR0RERERE5KJ0\ntDo4XQR1RyH/rzu8qjVcDiJP7SO2YjNhpwsw3Ew/6bTClmEGq8ZYOBbTfdANYFCfQYy3jmdM4Bhm\nps70qp+zOpph10uw+UloOulRSaUZwh8cN/O6cyqt+J9z7OaMWJZNTyIhKuji+hEREZG/q8iBwUxf\nMJyr5sSzf8MJDm4qo73FfYDfhQ+FbddQ2HYN/Xz3MyLgfQb77cIwLryfiews4xchb9A8MYSX06dQ\nU+DPjGM76NvR4nYPs6WF2pdeovbVP9H35psIW7gQ/+Qkj67JMAxmDJrBlAFTePfIuzy39zmqWqt6\nXO9wOXj90Ou8e+RdHkh9gHnD5xHkq3sXEREREREREREREREREZFLjUJvIiIiIiIiIj0wTZPKYw0c\nzC7nyM5KHB3e1Qe0VBJXsZmYk9vx7Wxyu7YuED4baWF1lkF9YM9ht2Fhw3gw/UGmDZzGxg0bvWvo\njLZ6yHkBtj0LLTUelZwwI3jOMZuVzqtpx/ecY9elRvOjGUmkxPS5uH5ERETkHyoo1I/xt8Yz6oZB\nvP/y59QWQmdz73VlHemUdaQTYi1jROAHJNvXYzMuvEEKdNTxw4B36Bzlz8r0azh4OIaph3cR21Lr\nfgOng/r33qP+vfcIvOZqwhctImDMGAyj53ujM3wsPtyRdAc3D72Z1w+9zov7X6Sxo7HH9S2OFp7L\nfY43Dr3BdzO+y13Jd+Fr9e1xvYiIiIiIiIiIiIiIiIiI/GMp9CYiIiIiIiJynrbmTgq2nSRvczm1\n5R48Af4lFmcHUdV7iK3YQkj9EXp7RLsoBlaNtrB1mIHDp+fVY2PGsihtEePjxnv04He3mmu6gm45\nL0B7vUclR10xPOu8hXedE3Gc92uEKcmR/HhGMun9+15cPyIiIvKN8vX3ISwRQuNhSHg6e9eUUFHU\n+z1CnbMfGxu+z/bGuaQFfEJawMcEWusuWGdztXGvz6e4hltZO3w8rx4Zw/jCAyTUl/W6R/PGz2ne\n+Dn2UaOIXLKYgKuu8uia/H38WZi2kNsTb2fFgRW8lv8abc62Htefbj/Nf+/4b17Ne5XFIxdz05Cb\nsFqsHu0lIiIiIiIiIiIiIiIiIiJ/Pwq9iYiIiIiIiNA11a2ssI687HKO7qnG6XB5VR/UdIK4ii1E\nV+Zgc7S6Xes0ICfZYNUYCwX9ADchtqkDprIwfSEjIkd41c85Gipgy1OwawV0tnhUcsg1gGcct/CR\n6ypcWM45Nikhgh/NSGLUoNCL70lEREQuGYYFho6MZOjISE4eqyd3TSlFu6swTfd1bWYfdjbfxe7m\nW0myf05mwPuE20ouWGcxncwgmxnx2exOyuS14zNJKSxmVFVhr7217tpFyYKF2EePwnfiRDqSkjy6\npr5+fVk2ahlzh83ludzneOfwOzhNZ4/ry5vL+Zfsf2HFgRUsy1rG1f2vvvgXDYiIiIiIiIiIiIiI\niIiIyFem0JuIiIiIiIhc0VoaOji0tYK87HLqq92H1c5ndbUTfXIHcRWbCW4s6XWqW5M/rMk0+DTL\nQk3fnlf7GD7cOPRGFqYtJD4k3quezlF7DDY/AXtfA2eHRyW5rqE87ZjDGlcW5nlht7GDw/jxzCSu\nGhp+8T2JiIjIJS1mSF9iHupLw6lW9q0/Qd7mcjrbeg6LAbiwcah1GodapzHAdw+Zge8zwHdvt7n+\nLOdesvrvpXhwPC+XTyGq8DSTy/ZhNd2/cKB15y7Cd+6iPSGe5sBAAsaN8yiUFhUQxb+N/zceGP4A\nT+15is+Of+Z2/ZG6IyxZt4SsqCyWjVrGyKiRve4hIiIiIiIiIiIiIiIiIiJfP4XeRERERERE5Irj\ncpmU5tWSt7mc4txTuFy9jDE5T5+mEuLKNhFVtQsfZ3uv60sjYNVoC5vSDDpsPT+c7W/15/ak25k3\nfB5xQXFe9XSOqkOQ/TvYvxLcTDT5shxXMk875vC5KwPOi+9lDgjhJzOTmJQQoYknIiIiV4g+EXYm\n3ZnImJuHkJddzr51pTSd9uC+p2MkpR0jCfMpYUTA+yTbN2I1HBesG+wo4t+iiqiJi2Z5zWSMApNp\nx3fi7+x0e36/I0WUzF+AffRoIpcsIWDcWI/uTwb3Hcyj1z7KwVMHeWz3Y2yv2O52/e6q3cz7eB7X\n9r+WpVlLSQxN7HUPERERERERERERERERERH5+ij0JiIiIiIiIleMxto28rdUkL+lnKba3h/a/jKb\n2UF02RbiKjYT1FzuihTbSQAAIABJREFUUc2ueINVYwz2DzbodtTJF4J9g5mbMpe5w+YS5h/mVV/n\nKN8Dmx6F/A88LtnkTOMpx63kmMMuOJYa14efzExiSnKUwm4iIiJXKD+7DyNnDGTE1P4U7a5m75oS\nqo439lpX6xjI+oYlbGu6j/SAj0kL+AS75cK6cEclP+27kpbxwbyafg1VBcFMP7qTkI5mt+dv3bmT\nkvnzz4bfAq8a59H1pEak8uLMF9lavpXHdz9OXk2e2/UbTmxg44mNzIqfxeLMxV/txQQiIiIiIiIi\nIiIiIiIiIuIxhd5ERERERETkW83pdHF8Xw0Hs8spyasB74a6EdpWSuyxtURW78Xqcj95BKDVF9Zn\nGHwyysLJMPdBsUh7JPOGz+PO5DsJtAV619iXHd8Cn/8WitZ6XPKZcxTPOG4h10y44FhSdBA/npHE\ndakxCruJiIgIABarhcQx0SSMjqKiqJ69q0s4tu9Ur/dWra5QcprmsqvpdlLsGxgR+D6hPhe+QCDA\n2cj37B/iGOnLO2mTWHMomumFXoTfxozpCr+NG+vR9YyPG8+42HF8dvwznt7zNMcbjve41sTk/aL3\n+fjYx9ydfDcPZTz01V5UICIiIiIiIiIiIiIiIiIivVLoTURERERERL6V6qtbyMuu4NDWCloaOryq\n9bN0ElO+hdjjGwhorfKopjIEVo22sCHDoNXPfVBsYPBAFqYtZFb8LHytvl71dpZpEla7m8ElK+Hz\nfI9KnKbBh67xPOuYTYE58ILjQyMCeWR6IjdnxGG1KOwmIiIiFzIMg7iEEOISQqiramHf2lLyt1bg\n6HC5rXPix8HW6zjYeh2D/XYwIuB9+vkeuGAYro/ZwZ0+6zDTDNaljCb7UAaTCvf1Hn7bsYOSBx4g\nYOxYIpYsJnBs7+E3i2Hh+sHXM23gNN45/A7P5z5PdWt1j+s7XZ38Kf9PvHPkHR5IfYAHhj9AgC2g\n131ERERERERERERERERERMR7Cr2JiIiIiIjIt4aj08nRvdXkZZdTVlDndX2kUUn0wQ+JqM7FYjo9\nqtk/yGDVGIPd8QZmL0GxYWHDWJS+iOkDp2O1WL3uDwCXCw59CJseJbNir0clHaaVt52Ted45i2Iz\n9oLjA8LsPDItiTmZcfhYLRfXl4iIiFxxQqICuPreZMbOHsrBTWXsW3+ClvreXzZQ3D6G4vYxRPgU\nkRn4AQn+2ViNc++9DEym+exgWtoOtqRk8NmhVMYWHuw1/NaSk0PJvBzsY8cS6WH4zWaxcVfyXcyK\nn8Vr+a+xfP9yGjsbe1zf3NnMs3uf5Y1Db/C9jO9xZ9Kd2Ky2XvcRERERERERERERERERERHPKfQm\nIiIiIiIil72a8ibysys4tL2C9maHV7V2PxdxNTuJOvAB9rZaj2o6bQafD++a7FYa1ftEtDExY1iU\ntogJcRMwzh9n4imnAw68Bdm/g+pDHpW0mr684ZzCHxw3U0H4Bcf7hdhZPCWBO0f3x6awm4iIiFwk\n/0Abo64fTOb0gRzeWcne1aXUlDX1WnfKEc+a+mVsbfwOGQGrGB7wGf6WC0NtE3z2MSFtH7uTE1lf\nMJKswkL69jb57YvwW8C4cUQuWUzAmDG99mP3sfNg+oPcmXQnf9z/R14/9DrtzvYe19e21fLrnF/z\nSt4rLBm5hBuH3IjF0D2ViIiIiIiIiIiIiIiIiMjXQaE3ERERERERuSx1tjs5squSvOxyTh5t8KrW\nsEBsQANR+98jpCQHi+nyqK4u2MqqLJO1mQaNAb2H16YMmMKi9EWMiBzhVX/ncLTD3tcg+3GoO+5R\nSaNp51XnDP7ouIEa+l5wfGBYAIunxHPryP74+ujBbBEREfl6WH0spFwVS/K4GE4UnCZ3TSnHD9T0\nWtfsimBr0zx2NN/JMPtaRgR8SF+fygvWZdkOk5V2mPzkwWQXpJNeeLTX8FvL9u0c374d+7hxRHkY\nfuvr15cfj/4xc4fN5fnc53nnyDu43NwvljWV8U+b/okVB1bwSNYjTO43+eJfdCAiIiIiIiIiIiIi\nIiIiIoBCbyIiIiIiInKZaa2FumPw0vvZdLQ5vaoN6mNhQFs+Ydl/wq/Fs6luAMUD/XhnZCc5yeDs\nZSKa1bBy09CbWJC6gITQBK/6O0dHM+xcAVufhsYKj0pqzSCWO27gFedMGgi84PjQiEAWT0nglsw4\nfDTZTURERP5ODMNgQEoYA1LCqC1vJnddKQXbTuJ0uH/RgMO0s7/lZg603MAQvxwyA98j1rfggnXD\nbMUMSyvmaHIcmwqGkVxY0vvkty+H3x5eQsDo0b1eR0xgDP8+4d+ZlzqPp3Y/xZqSNW7XF54uZPHa\nxYyKHsWyrGVkRmX2uoeIiIiIiIiIiIiIiIiIiHRPoTcRERERERG55LW3Ojicc5KD2eWcKj3zqWeB\nN4vVYEB0JzEFnxKw4WMMTI/qXFYLO1N9eWdkJ0VxTsB9SMzf6s9tibfxQOoDxAXFebRHt1rrIOcF\n2PZsV8LPA5VmCH9w3MSfndNowf+C44lRQSyZmsDNGXFYLZo6IiIiIv84YXGBTPlOCuNmD+XA52Uc\n2HiC1sZOtzUmVo62j+do+3hibflkBb7FIL9dnD88baitnKFp5ZQlR7GxYBjxhWX06Whxe+5zwm9L\nHyZg1Kher2Fo36E8NuUx9lfv5/Hdj5NzMsft+l2Vu7j/4/uZMmAKj2Q9QnxIfK97iIiIiIiIiIiI\niIiIiIjIuRR6ExERERERkUuSaZqcLKonb3M5R3ZV4ehwPxnkfCGRfgy2nSBkw0tY1hZ7XNfRx86n\nI0w+HNHJ6WAH4D4kFuwbzD3J93DfsPsIt4d71eM5mqph2zOQ8yJ0NHpUUuKK5HnnbN5yTqYd3wuO\np8QEs3RaItenxmBR2E1ERES+QQF9fBl78xCyrhtI4fZK9q4p4fRJ9wE1gIrOYXxU978J9zlGVuDb\nJPhvwWKce1/Yz1bF3LQqqpND2VCQysDCk56F3+7bjv2qq7omv3kQfkuPTOfFmS+ytXwrj+9+nPza\nfLfr15euZ+OJjcwaOovFmYuJDYrtdQ8REREREREREREREREREemi0JuIiIiIiIhcUlqbOijYdpK8\nzRWcrmj2qtbHZmFwgj+x5Zuwvf8atLd7XFs/MJS/ZrSwYVgHnT4GvYXdIu2RzBs+jzuS7iDIN8ir\nPs/duAy2PAm7XgZHq0clh139eNYxm/ddE3BiveB4Wr8+PDw1kRnDohV2ExERkUuKj83K8ElxDJsQ\nS0leLXvXlHDi0Ole62ocQ1hd/xO2N93HyMB3SbGvw8c4d2JcpO00d6Zlczo5iI0FacQWVtOnw/39\nVeu2bRzftg37VeOJWrqEgKwst+sNw2BCvwlcFXcVnxZ/ylN7nqK0sbTH9S7TxXtF7/HxsY+5J+Ue\nHkp/iBD/kF6vV0RERERERERERERERETkSqfQm4iIiIiIiHzjTJfJicLT5GWXc3RvNS6H6VV9RP8g\nhkY2ErrlNTqfy/a80GKhZEQMLw0/xYEBDWD0HnaL8Ilg8ZjFzIqfhZ/Vz6s+z1FTBJsfh71/Bldn\n7+uB/a7BPO2Yw2eu0ZhYLjieOSCEpdMSmJIchWEo7CYiIiKXLsNiMCgtnEFp4Zw60UjumlIKd1Ti\ncrq/D2xwxrCx4fvkNN1NZsAHpAV8gq/l3GBbqK2JOWnbaEr2Z2NBOlEFtQR19hZ+28rxbVu7Jr8t\nfbjX8JvFsHDDkBuYPmg6bxe+zXO5z1HTVtPj+g5XB6/kvcLbh99mfup8BroG4mf5CveSIiIiIiIi\nIiIiIiIiIiLfcgq9iYiIiIiIyDemub6dQ1sryNtcQUO1Z1POzrD5W0nMDKN/83549yUcpaV4Fh0D\nMyiA3HGRvJB0guqQqi8+dR8SSwlLYZwxjkx7JtOTpnvV6zkq82DTo3DwbTBdHpXkuJJ5xjGHja6M\nbvscPSiUpdMSmZwYobCbiIiIXHYi+gczbf5wrpoTz/4NJzjweRntLQ63Na2uULY2zWNX8+2kB3xM\nRsCHBFjrz1kTZGvjprQdtCb7salgGKEFDQR1trk/7xeT3/zHjyf64YcJyBrpdr3NYuPulLuZFT+L\n1/JfY/mB5TR1NvW4vqmziaf3Pk2wJZjr+lzHZOdkbFab2z1ERERERERERERERERERK5ECr2JiIiI\niIjIP5TLZVJysIa87HKK99dguryb6mYPh7CIBkY35tP85EocLS0e1zoHxLB+nJ2XB5XQ7ltGb0E3\ngNHRo1mUvoiJcRNZv369V72e48SurrBbwUcel2x0ZvCM4xZyzGHdHk8JtTAr3ocf3j5eYTcRERG5\n7AWG+HHVnHiyrh9EXnY5e9eU0lzX7ramwwxkV/Md7G2exfCAtWQGvEsfn+pz1tht7cxM20t7sg9b\nD6UQWNjSa/itbetWjm/d6nH4LcAWwEMZD3Fn0p28uP9F/nzoz3S4Onpc3+hqZGXdSra9u42HRz7M\n9UOux2JcOMlXRERERERERERERERERORKpdCbiIiIiIiI/EM01LSSv6WCQ1sqaDrt/uHl8/kF+JA8\nLobBgZWceulJ/N4+SKPpeViudXQKK0e08WFkKaZh4EnY7doB17IobRGZUZle9XoO04TibNj0Wzi6\nweOyT5xjeMZxC/vNod0en5wYwcNTE2k6thdAgTcRERH5VvH19yFz+kDSr+1PwfaT7PmshLpK9y86\ncOLH/pYbOdByHUn+nzMy8B3CbaXnrPGzObg2/QCdKRa2FyRjL2gjoNP9fenZ8NuECUQ/vISAke7D\nbyH+IfyvMf+L+4bdx3O5z/Fe0Xu43Ez3PdF0gp9v+jkrDq7gkaxHmBg3Ufd2IiIiIiIiIiIiIiIi\nIiIo9CYiIiIiIiJ/R06ni+LcU+Rll1OSXwveDXWjX1IIKWMjiDi+lfpX/4emI0X4e1hr2P2pmTKC\nF5PL2el/5MynbmushpUbh9zIgrQFJIYmetfsl5kmHF7dFXYr3e5RicO08L5rAs85ZnPY7N/tminJ\nkTw8LZGsgaEArDt28S2KiIiIXOqsPhaGT4wjZXwsx/ZWs+HNA7Sddl9jYqWgbQoFbVMY7JfDqMC3\niPEtPGeNzeZiUlo+zmSDnQUJ+BQ4eg+/bdnC8S1b8J8wkeiHF/cafosNiuWXE3/JA6kP8OTuJ1lX\nus7t+kO1h/jBmh8wJmYMy7KWkRGZ4f5CRURERERERERERERERES+5RR6ExERERERka9dXWULeZvL\nObS1gtbGTq9q7cE2UsbHkpTog+vTlZz+yUqq6+s9rrfGxXJsRgpPxeVznF0e1fhZ/bgt8TYeSH2A\nfkH9vOr3HC4n5L8Pmx6Fk/s9Kmk3fXjLeTXPOWdRakZ3u2bG8GgenppARv+Qi+9NRERE5DJlsRjE\nZ0VRfBqaK8FVGUJZQV2vdcXtYyluH0s/3/1kBb7NAN+9fHmImtVmMi7tMM5kg9yCIVDgwt7Z4fac\nbVs2c3zLZvwmTCB26cPYM91PBY4PieeJqU+QW53L47seZ2flTrfrd5zcwX2r7mPawGkszVrK0L7d\nT/4VEREREREREREREREREfm2U+hNREREREREvhYuJxRsP0ledjnlh3t/CPkcBgwcHsawiXHEOEuo\n+9PTVP/rGnA6PT6FbVQmu66O4emg7dQ5NnlUE2wL5p6Ue7hv2H2E28O96/nLnJ2w/03Y9DuoOexR\nSavpy+vOafzBcROVhHW75oa0GJZMTSA1ru/F9yYiIiLyLWEYEBQDU+dmcfJYPbs/Oc6x3FO91pV1\npFPWkU6kTxFZQW8z1G8bFsN19rjVZpKVdhRnkkFe4QAcBQb+ne5f3NC+ZQvFW7bgN2EisUuX9Bp+\nGxE5guXXLSe7LJsndj9BwekCt+vXlqxlfel65iTM4QcjfkBMYEyv1ykiIiIiIiIiIiIiIiIi8m2i\n0JuIiIiIiIh8JTVlTZzcA/XHoaAjz6vaoFA/hk2IJXlMBOa2dZz+j19Rmuf5OQybDdv1U/lsrC8r\nOjbQ6jgAjt7rIuwRzBs+jzuT7iTIN8irns/R2QZ7XoXNT0J9iUclDaadl53XscJxPbX0ueC4YcDN\nGXEsmZJAckzwxfcmIiIi8i0WM6QvN/4gg9ryZnZ/dpzDOZW4XKbbmmpHPJ/W/ZS+1nKyAt8h2b4B\nq/G3m0err0l6WgnOJIPCgjjaC33w6zX8tpniLZu7wm+PPIx9xIge1xqGweT+k5nYbyK//fC3rKpf\nRY2zpsf1LtPF24ff5sOiD5k7bC4Ppj9IXz+9DEFERERERERERERERERErgwKvYmIiIiIiIjXmuvb\nObqnmoLtJ6k81uBVrWExGJwezvBJccRFuaj/61+p/O+/4DzV+5SOM5x9+uB7z2z+knKat0+txdHi\nQdINGBA8gAVpC5gdPxs/q59XfZ+jvRF2roCtT0NTpUclNWYwf3TcwKvOmTQScMFxiwFzMvvxwykJ\nJER9hSCeiIiIyBUkLC6Q6fOHM3bWEPauKSU/uxxHp8ttTb0zjvUNi8lpupvMwA8Ybv8MX0vb2eNW\nX5Nh6WU4kw2OFkTTXOiLX6f7+80z4TffiZOIW7rEbfjNYlgYHTiazIBMavrV8Hzu89S21fa4vsPV\nwUsHX+KtwrdYmL6QuSlzCbBdeD8pIiIiIiIiIiIiIiIiIvJtotCbiIiIiIiIeKSxto2je6op2lNF\nRVE9uB+kcYE+kXaGT4wlZXwsltIjnH71Nxxd9TFmL9Mzvsw/PZ39Iwby5tAycjv/glntWRPJocks\nSl/EjEEz8LFc/Fdhn85G+pevgpwF0FbnUU2FGcYfHDfxZ+dU2rgwaOdjMbgtqx8/vDaBwRGBF92b\niIiIyJWsT7idq+9OYsyNg9m3/gT7N5ygvZcXIzS7ItjcuICdTXeQHrCKEYEf4W9pPHvc6muSmH4S\nZ7LB8cIIGgvs+PYSfuvYnE3x5mx8J0wkbtlS7BkZPa71MXy4N+Vebom/hVfyXuGlgy/R3Nnc4/rG\nzkae2P0Er+W/xg9G/IBbE2/FZrG57UdERERERERERERERERE5HKl0JuIiIiIiIj0qOFUK0W7u4Ju\n3k50A7D4GMRnRnZNdRsaTNO6dVT/8H/TumuX5yexWgmeOZOyGzN51LmR7ZWfgoc5uVHRo1iUtohJ\n/SZhGIbX/Z/VVAVbn2ZCzu/xcbb1vh447oriOeds3nZOpoMLH0a2WQ3uHD2AH1wTz4AwTeoQERER\n+TrYg30ZN3soI2cM5MCmMnLXlNLS0OG2pt0MZmfz3extuYVU+2eMCHyfYGvN2eNWX5OhadU4kwxO\nFIZRXxCArdPp9pwdX0x+s02cRL9HHnYbfguwBfD9Ed/nruS7eHH/i7xx6A06XT3f8J5qPcWvtv2K\nlw++zMMjH2bm4JlYDIvbfkRERERERERERERERERELjcKvYmIiIiIiMg56ipbKNpTRdHuaqpLGnsv\n6EZoTADDJ8WRfFUMvo4W6laupOiHr+Mor/D4HNa+fel7150cuHoAf6h8i7zy1R7XXtv/WhalLyIz\nKvNi2v+bulLY/ATseRUcbR59iS5w9ecZxy185LoKJ9YLjvv6WLhnzAC+f008cSH2r9afiIiIiHTL\n1+5D1sxBZEzpT8G2k+z+rISG6la3NQ7Tn9yW2exvuYEk++dkBb5NqE/52eNWX5NBaTU4k2qpKAih\ntjCo1/Bb5xeT32wTJ9Nv2cPY09N7XBvmH8bPxvyM7wz7Ds/sfYYPij7AdDNeuaSxhJ9+/lOWH1jO\nslHLmBA3wW0vIiIiIiIiIiIiIiIiIiKXE4XeRERERERErnCmaVJb0czRPdUU7a6ipqz5os5jWCF5\nbAzDJ/UjZmgfOoqKqP3N/6P+vfcw2zybjgbgl5hAn/vmsinVYPmR1yjOK/aozmpYuWHIDSxIW0BS\naNJFXcNZp45A9mOw7w1wOTwqyXUN5RnHLax2jcLkwkkb/jYLc8cO4nvXDCW6j/9X609EREREPOJj\ns5I6uR/DJsRStLuaXZ8ep+ZEk9saFzYOtU7jUOsU4v22kRX0FlG2o2ePW31N+qefJja5jsqCvtQU\nBOHjcLk9Z+fmTRRv3oTPxEn0X7bU7dq4oDj+c9J/Mj91Pk/ueZINpRvcrs+vzed7q7/HuNhxLMta\nRlpEmtv1IiIiIiIiIiIiIiIiIiKXA4XeRERERERErkCmaXLqRNPZoNvpky0Xfa7/z959R0d13/n/\nf97pRRLqgEASINEkUSQMmC7R3I1LYseFODbeTZzEjp3spu3uyXfz2+TsN7tOnMR2intLXLHjL27I\ndITBRYhehYQqSEhCXaMp9/eHhI0BFYZig1+Pc+ZouLqf933PPcfHM5r7uu+Bw6MwYpqISoG5C8fQ\nsnYt5b96jtYNG/pfxDCIyM3Fc+tNLIsp5dldj1NTWNOvpU6rk+vTr+eOzDsYGjk0zFfR7dA2WPcg\n7HgDepmqcbyNobE8HLiO9aEswDjp9x6HlcWXpnL3rBEkRDrPrD8RERERCYvFamHk5IGkX5JI2Y56\nPnm3lOr9jX2totg3nWLfdIY6ipjkXcoQxzaM7rd8VodJ0rijDBzdSM2eKOr2RGLtI/wW6J785s3I\novOaK3vdd2TMSP44949srtnMQ588RGFNYa/7b6rexC1v3cKC1AXcm30vwwcM7+P1iYiIiIiIiIiI\niIiIiIh8eSn0JiIiIiIi8hVhmnC4tIniwhqKN9fSVNseXiEDBqcNIC0nkRETE4iMdbHq7bdxF2zk\nwO9+Q+fBg/0uZfF6GXDjDdi+dg0vta3lb7v+jaYDTf1aG2mP5BtjvsGtY28l3h0f3ms5pvwjWPe/\nsPfdfi9ZFZzAw4Hr+MQcfcrfRzht3DE9lSUzRxDrdZxZfyIiIiJyVhiGQWpWHKlZcVTvP0rhewcp\n3VbX57qKzolUdE4k0b6XSd6lDHd+iGF03STB6jAZPK6RxNFNHNkTQe2eKKyB3m+gELVzO+zczt71\nH5B8/324x/U8nS07MZunL3+adZXreKjwIfY17Ou1dv7BfFaWreS69Ou4Z8I9DPQO7PP1iYiIiIiI\niIiIiIiIiIh82Sj0JiIiIiIichEzQyaHSpo4XARNFbC77eOw6hgGJI2KIS07gRHZCXgHdE0s6ywv\n5/BfnifxpZexdHTQ2c969tQUYm+7Hd9l03nm4Ku89tES2gP9C+FFWiLJi8zjp1f+lEhHZFivB+hK\nAZas6ZrsVrK2X0tCpsE7ock8GljEDvPUkzMiXTbunDGcu2YMI9qjsJuIiIjIl9Xg9GiuSo/mSEUL\nhe8dZP/HhzH7GPZb4x/FO0d/Soy1nJyI1xnpWovVCAJd4beB45qJH91C/Z4IavZEYekj/BYsWEdp\nwTqsM2aR/MAPcGdlnnI/wzCYPXQ2M5Jm8HbJ2zxS9AiVLZU91zWDvLbvNZYdWMatY29lSdYSBjgH\n9P7iRERERERERERERERERES+RBR6k68cwzA8wARgFDAEiAfcgAMwunf7m2ma738xHYqIiIiInJlQ\nyKR6/1GKC2s5sLmG1sb+RtE+z2IxGDomhhHZCYyYmIA7sivA5T9cQ/1b79Ocn0/bxk1gmlj6WdM7\nfRoxixdTMzGZ3+18hmXLf0sgFOjX2qERQ7kz604GVAzAbtjDD7yZZtdEt7X/C5X9CwEGTAv/CM3g\n0cC1FJtDTrlPtMfOkhnDuWPGMKJc9vB6ExEREZHzLn5oBAuXZDL12hFszi9j94ZqgoFQr2sagsms\naLyPTc23MNH7DzI8+diNrvfdVodJwrhmYke1UL/39MJvlpmzSXngPtyZpw6/WS1Wrkm7hsuGXcYr\ne1/hr1v/Sn1HfY91fUEfT21/ilf3vsqSrCXcOvZW3DZ3H2dEREREREREREREREREROSLp9CbfCUY\nhjEKuB24HMjhs3BbT4qAPkNvhmEMBKwnbjdNsyqMNkVEREREwhYKhqjce5TiwhoOFNXS3uwPq47F\nZpAyNpa0nESGjY/H5e0Kb3WWl1P3cj7N+fm0FxWdVk3D5WLAtdcSu/h29sX4+N22J1jx5gpM+hij\n0W1UzCiWZC1h4bCF2Cw2VlauPO3XBUAoCDteh/W/g8Pb+7XEZ9p5OTiHvwSvpsJMPOU+cV4Hd88a\nweJpqUQ49TFbRERE5EI1IMFN7q2jmXzVMLauLGfbmkr8HcFe17SEEljffDcft3ydCd5lZHnewWVp\nBcDq/Cz8VrcngiN7IzH6uN9DaP1aStevxZgxm9Qf9hx+c1gd3Db2Nq5Lv45ndzzL0zuepi3Q1mPd\n5s5mHip8iL/t+hvfmfgdrk+/HptF711FRERERERERERERERE5MtL32jKRc0wjDnAL4A5xzb1Y1n/\nrrzt8ihw3YnrDcOYYZrmptOoIyIiIiJy2oKBEBW7GygurKFkyxE6WsMLulntFlIz40jLSSB1XDxO\ntw3TNOncv5/a/Hya89/Ht2vXade1DRpEzG23En3j1/ioYzf/sf3/smlD/98m5yTmsGTcEmYNmYVh\n9OetfA8CnbD1pa6wW31xv5a0mk5eCM7nscCV1BJzyn3iI5x8Z84Ibp2agsehj9ciIiIiFwvvACfT\nrk8n57JUtq+tZMuK8j5vKtFhDmBTy20Utt5Apvs9JnrfxGttALrCb4njm4kb3f/wm1mwltKCtTBz\nNsN/+ANcGRmn7tXu5Z6J93DT6Jt4fNvjvLjnxV4nKde01/DLD37Jszue5d7se1mQuuDM3muLiIiI\niIiIiIiIiIiIiJwjuipPLkqGYQwCHgauP7bpuF/3Fmo73W/3HzruGMdbDCj0JiIiIiJnXcAfpHxn\nPcWFtZRsPUJnex9Xy/bA5rQyLCuOtJxEUjJjcbi6gm4d27dTs7xroltnaWlYtd3Z2cTe8U288+ay\nsmoNT2y4hx11O/q9fs7QOSwZt4TsxOywjv8pfzsUPgsFf4Cmin4taTQ9PB28jKcCl3OUyFPuE+2E\nHyzM4JYpKbj/QqxaAAAgAElEQVTsJw1+FhEREZGLhNNjZ9Llw5gwN5ldG6rZvLyM5vqOXtf4TTdF\nbdexte0qxrhXku19g2jbIeCz8Fvs6Bbq90RQtzcS+no7v34tJevXwozZDP9Rz+G3OHccP5nyE27P\nuJ1HNj/CsgPLep2sXNpUyo/W/IjMuEzun3Q/lw6+tI9GRERERERERERERERERETOL4Xe5KJjGMYs\n4BUggc9CbCd+u28ct62nffpkmuY6wzA+AXJOqH2zYRj3m6YZ3hXIIiIiIiLH8XcGKdteR3FhDaXb\n6vD7gmHVsdggPWdgV9AtIxabw4oZDNJeWEj98nya33+fQHV1WLVNq5X2STlk/OuPsWWMZtmBZTy5\n7EZKm0r7td5qWLl8+OXclXUXo2JGhdXDpzqa4OMn4INHoLW2X0tqzSieCFzJ88H5tOA55T5Dot3M\nHRxgZpKVy2YMP7MeRUREROSCYXNYGZc7lIxZSez/uIbC9w5SX9Xa65oQdna2X8au9vmkuTaQ411K\ngr20q95J4bcICPRxP7aCtZQUrMWcMYcR//IDXGPHnnK3IRFD+PWsX/OtrG/xh8I/sKZiTa9ld9Tt\n4J+W/xPTBk/jB5N+QGZcZu99iIiIiIiIiIiIiIiIiIicJwq9yUXFMIzrgBcBR/em44Ntx4faTjvg\n1os/AY+fUDMWuBxYdhaPIyIiIiJfIZ0dAQ5u6wq6HdxRR6AzFFYdp8fG8AnxtFgP4R0I8xdkYnZ2\n0rppA83L82lesYJgfX3YfbonTCBy4QK2xcbSHulih6WQZ5b+gJq2mn6td1gcXD/yeu7IvIPkyOSw\n+wCgrR42/bnr0dHYryWVZhx/DVzNS8FcOnCecp/kWDffy03nhpyhrF+7+sx6FBEREZELltVqYfTU\nQYyaPJDSbUf45N2DHC5p6nWNiZX9HbPY3zGLFMcnTIpYymD7TgwjvPCbUbCGkoI1hGbMJu1f7u8x\n/DYqZhQPz3uYwsOF/O6T31FUW9Rr3Q+qP+CDZR9w2bDLuDf7XlKjUns/GSIiIiIiIiIiIiIiIiIi\n55hCb3LRMAwjF3gJsHNy2O3EqW4AAaAeSOTMQnBvAH8BLCdsX4BCbyIiIiJyGnxtfkq3HmF/YS3l\nO+sJBsILurki7IyYmEBaTgJDRsdgtVpY9c5BnFt3Ubn8XVpWrybU3BxekxYLnilTiFwwn8j587EP\nHMjRjqO89c6vWFu9lrbKtn6VibBH8I0x3+C2sbcR744Pr5djmg/Bhj/Cx0+Bv/eJG8ccCA3iT8Fr\neSM4E38PH42Hx3v5Xl46iyYmYbee+HZfRERERL6qDIvB8AkJDBsfT9W+oxS+e5CynX3fSKKscxJl\n9ZMYZN/FJO9SUp0fnxx+2x1B/b4IzD7Cb5buyW/BGXNI/9f7cY0Zc8r9cgbm8OwVz7KmYg2/L/w9\n+4/u77Xue6Xv8f7B97lh5A3cM+EeEjwJfb4uEREREREREREREREREZFzQaE3uSgYhjEYeJlTB96O\nPa8DngVWAxtM06zrXhvelcTdTNOsNwxjPTDnhOPNPZO6IiIiIvLV0NHi58CWWooLa6nYXU8oGN79\nGDxRDkZkJ5CWk0hS+gAsVgvBpiZa3n6L5uX5DFy9GsPvp/c5FKdm2O14p08ncuECIubOxRYTA0Bp\nYykvf/QbXt37Ku2B9n7VinPFsThjMTeNvolIR2QY3Ryn4SAU/B42Pw9BX7+W7Aol82hgEW+FLiV0\n0n0ruqQnRnDv3HSuGjcYm8JuIiIiItIDwzAYMiqGIaNiqC1r5pN3D1K8uabPW6wd8o/lraP/Rpyt\nlBzvUtJdBViMUFf4bUIzsWNaqd/t7Vf4zdo9+S0wYw4jewi/GYZBbnIus4bMYtmBZTxS9AjVrdU9\n1gyaQV7Z+wr/r/j/cXvG7dyZdSdRjqh+nRMRERERERERERERERERkbNFoTe5WPwRiOfzlxOYdIXP\nWoF/B/5qmmb/rsQ9fW/QFXo7/rgZhmEkmqZZc46OKSIiIiIXqLamTg4U1VJcWEPl3qOYofCCbhEx\nzk+DboNGDMBiMQjU1dH42qs0579P68aN4PcDnx953B+Gx0PE7NlELphPxJw5WCMiCJkhttZuZdUn\nT7OqfBUljSX9rjckYgh3Zt7JovRFuGyu0+zm8zxtFaSWvQbr1oEZ7NeaolAaDweuY0UoG7OHsNuY\nQZF8f246V2QNxmo53TMmIiIiIl9lCSmRXP7PWRw93Mbm5QfZvfFQnze0qAsMI7/xh2xquZVs7xuM\nca/EZvixOUOnHX6zdYff/DPmMOrHD+AaPfqkfawWK4vSF3HF8Ct4ac9LPLb1MRp8DT3W7Ah28Pi2\nx3l5z8vcPe5ubhlzyxm/lxcRERERERERERERERER6S+F3uSCZxjGpcANfD7wdmzK2y7gRtM0d5/j\nNtb1sH0KsOwcH1tERERELgCtR30Ub+4KulXvP4oZXs6NqHgXI7ITSctJYGBqFIbFwF9dzdHn36R5\neT5thYUQCm+YsSUqisi8PCIvW4h3+nQsLhcdgQ7WVW9k1dZVrC5fTX1H/WnVHBkzkiVZS7hs2GXY\nLGf4EbR6C6x7kKk738Toa3xGtw3BDB4OXseGUCY9Rf8yk6K4d+5IFmYMxKKwm4iIiIicgeiBHvIW\nj2Xy1SPYsqKM7euqCPh6v1FDU3AQa5q+w4ctNzPBs4wsz7s4LW2nCL95MQO9TyK2F6yhZNEaOmfM\nYdS/3o/7FJPfHFYHizMWc3369Tyz8xme2fFMr5Obmzqb+O0nv+WFXS/w3Ynf5dq0a8/8vb2IiIiI\niIiIiIiIiIiISB/0raRcDH7Sw/YyYK5pmofPQw87gCCcNDJiDAq9iYiIiHxlNdW1c2BzLcWFtRw6\n0Bh2nQGJbtJyEknPSSQ+OQLDMPCVlFD3+Ms05+fTsW1b2LWt8fFEzp9H5IIFeKdMwbDbqe+o5x/l\n77C6fDUfVH/Q6wWwPclJzGHJuCXMGjILwzjDIFnZRlj7v7A/H+jf1Lr3g9k8GlhEoTmqx30mDB3A\nffNGMndM4pn3KCIiIiJynIgYJzO+NpJJVwxj2+oKtq6soKPV3+ua9lAMG1sWU9h6A1med5jgWYbH\n2vhZ+G10K/V7+hd+cxSsobRgDb7pcxj9kwdwn2LyW4Qjgu9N/B43j76Zx7Y+xst7XyYQCvRY83Db\nYX6x4Rc8veNp7su+j3kp8/Q+WkRERERERERERERERETOGYXe5IJmGEYMcCUnT3kLANecp8Abpmn6\nDMPYS1fI7Xgn30ZXRERERC5qjbVtFBd2TXSrOdgcdp3YJC9p2Qmk5SQSm+QFwLd7N0f+mE9zfj6+\nffvDrm1PSiJy4UIiFy7APWEChtXKwaaDvLrnBVaVr6KotoiQGd60uNlDZ7Mkawk5A3PC7g8A04QD\nq2Dtg3Bwfb+WhEyDt0NTeSSwiF1mao/7TUqN4b55I5k9Ml4X6YqIiIjIOeXy2pl81XAmzk9h5/oq\nit4vo6XB1+uaTtNLYevX2NJ6DWM9K8n2vE6UrRab6/TDb84NayhdtIaO6XMY00P4Ld4dz8+m/ozb\nM27nkaJHePvA25i9TFYuaSzhgdUPMC5+HPfn3M+UwVP6dzJERERERERERERERERERE6DQm9yobsC\nsPNZ6M3ofv6kaZrbz3MvO4CxfD6A1/NYCRERERG5aDQcau0Kum2u4Uh5S9h14pMjSMtOYER2IrGD\nvZihEO1btlDzwvs05+fjLy8Pu7Z/0CA6Jk5k3D/djSsjAxOTrbVbWVX0B1aVr6KksSTs2jbDxnj3\neOZHzmfxvMVh1wEgFII9b8O6B6GqsF9L/KaV14Mz+XPwGg6YST3uN3V4LD+YN5JpaXEKu4mIiIjI\neWV3WpkwL5msOUPY++Eh1r++m84+7pERxMn2tivY0baQka515HhfJ85e9vnw2+7u8Fuw9/Cbqzv8\n1j49l4yfPIBr9Ml/uk6OTOa/Z/03d2beyUOFD7G+svebT2w7so0ly5cwI2kGP8j5AWPjxvZ5HkRE\nRERERERERERERERE+kuhN7nQzexh+/89r110qTvuuUlXAC/hC+hDRERERM4x0zSpr2qluLCG4s21\n1Fe1hl0rMTWStJxERmQnEJ3owfT7afv4Yw49lk9z/vsEamvDru3KzCRywQIiF8yn4OBBOkOdbIqq\nZfUH/8nq8tXUddT1XaQHHpuHGUNmkJecx+yhs/mk4JOwawEQDMCOpbDut1C7q19LfKadF4O5/DVw\nNZW9vPWemR7PvXPTmToi7sx6FBERERE5Q1abhbHTk6hq201zFfgrI/ucEG1iZW9HLns7chnm/JBJ\n3qUMcuzpCr9NbCZ2TCt1uyNo2OfpM/zm3rCakkWraZs2h8yf/vCU4bfRsaP50/w/8dGhj3io8CG2\n1m7ttWZBVQEFVQVcMewKvp/9fVKiUvo8DyIiIiIiIiIiIiIiIiIifVHoTS50mafYttc0zfDHVISv\n8RTbIs97FyIiIiJyTpimyZHylk+DbkcPt4Vda9CIAaTlJDAiO4GoODchn4/Wgg1U5efTsnIlwcZT\nvbXsB8PAnZND1MIFRMybj2PoEBo6GninYg0vH3mZPR176KzsDLvvRHciucm55KXkMWXQFBxWR9i1\nPhXwwZa/w/qHoKF/b+NbTBfPBxfwROAKaonucb/c0QncO3ckk1JjzrxPEREREZGzyLBA1FDIW3wJ\nFbsbKHzvIBW7G/pcV+qbQqlvCkn27eRELCXFsRmbK8TAiU3EjWnpd/jN88EaihetpX36HDJ/8gDu\nU4TfJg+azPNXPM/K8pX8ofAPHGg80GvNd0rfIf9gPjeOupHvTPgO8e74Pl+PiIiIiIiIiIiIiIiI\niEhPFHqTC91wuqaqQddkNRMo+IJ6UehNRERE5CJjmiaHS5s4UFhL8eYamo50hFfIgKT06K6JbhMT\niIhxEmxppXXtKiry82lds5ZQW5ghOpsN79SpXRPd5s3FlpDAwaaDvFmWz6ptqyiqLSJkhsKrDYyM\nGUnu0FzmpswlIy4Di9H7xbP91tkGhc9AwR+guapfS46aXp4KXM7TwctoJKLH/eaPTeTeuSOZkNxz\nIE5ERERE5MvAMAySx8aSPDaWwyVNFL53kANFfU97rvJnUdWQRbytmBzvUtJcG087/GbBxLthNQcW\nraFt2hyyfnpy+M0wDOalzCN3aC5vFr/Jo1se5VDroR5rBswAL+15iTeL3+Tro77ONzO+yUDvwH6f\nDxERERERERERERERERGRYxR6kwvdqa5iPXzeu+jiP8U2z3nvQkRERETOiBkyqT7QSHFhDQc219LS\n4AurjmExGDLqs6CbJ8pBoKGBllVvU56fT2tBAWZneFPXDKcT76yZRC1YQERuLkZUJFtrt7K67AVW\nFazqcwJDb6yGlZyBOeQl55GbnEtyZHLYtU6poxE+fAw2Pgptdf1aUmsO4LHAlbwQnE8r7h73uzxz\nEN+fm07WkAFnq1sRERERkfNm4PAorvjOOOqrW9m8/CB7Nx0mFDJ7XXMkkMbyxn9lQEsV2d43GONe\nhc0VOO3wW8QHXeG3lmlzGPezH+IZNfJz+1gtVq4feT1XjriSF3e/yGPbHqPR1/OE6vZAO8/ufJa/\n7f4bi9IWcWfWnaRGpZ7eCRERERERERERERERERGRrzSF3uRCd6pQWf1576LLqQJ44V3FLCIiIiLn\nVSgYomp/d9CtqJa2xvDexlmsBkPHxJKWk8DwCfG4Ixz4D9fQvOxVavPzafvwIwgGw6vt9RKRm0vk\nggVEzJ5Fp8PCpupNrNrxO1aXr6auo38BslPx2DzMGDKDvOQ8Zg+dzQDnOQiNtdZ1Bd0+fAx6uTj2\neBVmPH8OXMMrwTn4cJxyH8OAq8YN5vtz0xkzKOpsdiwiIiIi8oWIHexl3h0ZTLlmBEX5ZexcX0XA\n3/v05sZgEqubvstHLTczwfsmme7lOFwdn4XfdkXQsL/v8FvUB6spubYr/Jb10wfwnjD5zWl1ckfm\nHdww8gae2v4Uz+96nvZAe481A6EAr+17jaX7lrIgdQF3j7ubsXFjT++EiIiIiIiIiIiIiIiIiMhX\nkkJvcqHzAa4Ttn1RV7rGnmJb23nvQkRERET6JRgMUbmngeLCWkq21NLefKrBvX2z2iwkZ8SSnpPA\nsPHxOD12OsvLaX75BQ4vX057UVHYPVqjo4mYP4+oBQvwTJtGY6iVlRVrWL3p52yo2tDrxaV9SXAn\nkJucS15yHlMGT8FpdYZdq1dNVbDhj/DJ0+Dv39vj4tBg/hS8ljeCMwj08LHVAK7LHsL38tJIT4w8\ne/2KiIiIiHxJRMa6mHXzKC65ahhbV1awbXUFvrZAr2taQ3FsaL6TT1q+xjjPO4z3LsPtamZg9nGT\n3/oZfitdtIamS+cw/mcnh98iHZHcl3Mft469lT9v+TOv7X2NgNlzbyYmyw8uZ/nB5cxImsHd4+5m\n0sBJGIZxeidFRERERERERERERERERL4yFHqTC10rJ4fe4r6IRoChxz0/9k394S+iERERERE5taA/\nRPnueooLayjZcqTPC0Z7YrNbSM2KIy0nkdRxcdidVjr376fp6ddpzn8f365dYfdoGziQyAULiFyw\nAM+kHMraKnmtfDUrVzxJUW0RIbP3CQ+9GWwfzNVjrmZuylwy4jKwGD1f6HrG6kug4CEo+hsE+zc5\nb2colYcDi3g3NIUQp+7NajG4dJCFq4fbuOWaiWezYxERERGRLyV3hIOp144ge2EKO9ZWUbSirM/p\n1D4zko9bb6Ko7Voy3PlM9P6DSHfdCeE3L2aw59CZBZPojV3ht8Zpcxj/0x8SMXrk5/aJd8fz75f+\nO9/M+CYPFz3MOyXv9Pl6CqoKKKgqYGLCRJaMW4Jpmgq/iYiIiIiIiIiIiIiIiMhJFHqTC10VEA+Y\nx21L+4J6mXZCHyZw8AvqRURERES6BTqDlO3sCrqVbj1CZ0cwrDp2p5Vh47qCbimZcdgcFjq2b+fo\nIy/QnJ9PZ2lp2D3aU1KIWtgVdHNkZbK9fgcvlq1i1bJfcaDxQNh1rYaVnIE55A7NxVXpIt4Wz9yc\nuWHX65eaXbD+d7DtVTD7d64/CY3k4cB1rApN5LP7R3ye3WrwtUlDuWdOOvu3bDyLDYuIiIiIXBgc\nLhvZC1MYnzeU3Rur2by8jMba3qc/B0wXW9uuYXvbFYxyryHH+zox7srTDr/FfLCag4vWcLR78lvk\nCZPfUqJS+M3s37AkawlPbH+C90rf6/OGHUW1Rdy78l4G2wczP3I+s0OzsVn0tZWIiIiIiIiIiIiI\niIiIdNG3h3KhOwCM735u0nWF7HTDMCymeQYjME6TYRhj6JowZ57wq/BHfIiIiIhI2Py+IAe313UF\n3bbXEfCFF3RzuG0MHx9PWk4CyRmxWC3QXlhI3YOP05z/PoHq6rB7dI4e/elEN3NEMh8e+pBV5a+z\n5rX7OdJ+JOy6bpubmUNmkpecx6whs4h2RQOw8vDKsGv2R2RzMallr8DaTf1esy6YxaPBRXwQyqCn\nsJvDauHmycl8JzeNIdFuAPafjYZFRERERC5QVruFzFlDGDsjieLCGgrfO8iR8pZe14Swsbt9Hrvb\n8xjh3MSkiNdIdBefdvgtduNqyhatoeHSOYz/2Q+JOmHy2+jY0fxm9m/4/sTv89SOp/jH/n/gD/l7\n7a3aX81z9c+x8vWV3Jl5J9eNvA6n1dn/EyIiIiIiIiIiIiIiIiIiFyWF3uRCtxm47oRtEcBMYO15\n7OOmHrZ/fB57EBEREflK62wPULrtCMWFtZTtqCPgD+8eCE6vjRETEkjLSWTomBgsoQCtmzZR+8t8\nmlesIFhfH3aPrgnjieoOurUOjGJtxVpWlT/Kho830B7ofUJDbxLcCeQm55KXnMeUwVPO7wWipQWw\n7kEmF6/o95L84CQeCSyiyEzvcR+nzcKtU1P49uw0Bg1wnY1ORUREREQuKhaLwchLBpI+KZGynfUU\nvnuQqn1H+1rFAd80DvimMdSxhRzvawx1bWNgdhOxY1qo3xVBQ3Hf4be4jaspX7SG+qlzmPBvPyJq\n1Off26dEpfCLab/guxO+y3M7n+OlPS/RFmjrtbPKlkr+a9N/8actf2JxxmJuHn0zEY6I/p4OERER\nEREREREREREREbnIKPQmF7qCHrY/wHkKvRmG4QC+y8lT3kxg9fnoQUREROSrqqPVT+nWIxQX1lC2\nq55Q4MS3ZP3jjrQzYmJX0C1pVDRGp4+W9es59Ew+LatXE2puDq9BiwXP5MldE93mz6Pa08my8lWs\n2vULNq/ZTOgMhhOnR6eTl5xHXnIemfGZWAxL2LVOS2NFV9CtdB2UroeGkn4tC5oGy0LTeDRwLXvM\nlB73c9utLJ6Wyt2zhpMYqbCbiIiIiEhfDMMgNTOO1Mw4qosbKXzvIKVb+54eXdE5gYrOCSTa9zHJ\n+xrDXR8yMKeJ2LEt1O2K4Oh+L2ao9/Bb/Kau8NuRKXPI/vmPiBr9+fBbgieBH17yQ5aMW8KLu1/k\n+V3Pc9TXezCvrqOOhwof4oltT/CNMd/gtrG3EeeO69/JEBEREREREREREREREZGLhkJvcqFbBxwF\nBnT/2wQM4BrDMHJM0yw8Dz18D0jks9Cb0f38I9M0D52H44uIiIh8pbQ3d1KypSvoVrG7gVAovKCb\nd4CDETmJpGUnMDg9GrOlmZY1a6h+NJ+WdeswOzrCqmvY7XinTydy4QI8uXPYFarkjfLVrNr4HYob\ni8OqCWAxLOQk5nwadEuOSg671mkJM+R2TKdpZWlwFn8OXkOpObjH/bwOK9+cPoy7Zw4nLuI8TqoT\nEREREbmIDE4bwFXfHU9dZQuF7x1k38c1mH18Zqrxj+Sdoz8lxlpBtncpo9zrGJTTRFx/w2+mSeKm\n1ZRft4baKblM/PkDRI8e+bl9BjgH8O0J32ZxxmJe3/86T+94mkOtvf/5vNnfzGPbHuO5nc9x/cjr\n+Vbmt0iKSOr/yRARERERERERERERERGRC5pCb3JBM03TbxjG68CdfBY6MwEL8HfDMCaZptlyro5v\nGMZE4NecPOUN4LlzdVwRERGRr5rWRh8lRbXsL6ylam8DZng5NyJinaRlJ5KWk8ig4VEEG+ppXpFP\nxf+8T+vGjeD3h1XXcLuJmD2byAULcMycykctO1lZtpI1Kx7mSHvfExZ64ra5mTlkJnnJecwaMoto\nV3TYtfqtsbIr3BZmyO2YDtPO34Nz+WvgaqrpeSpDpMvGndOHcdfM4UR7HOF2LSIiIiIix4kbEsGC\nuzKZeu0INueXsaugmmCg90nTDcGhrGy6jw9bbmGi900y3PmnHX4buGkVldetZvPkOWQ9cA8J2eM/\nt4/H7uG2sbdx06ibeKvkLZ7c/iQljb1/5ugIdvD33X/nlT2vcOWIK7kr6y7SotP6fzJERERERERE\nRERERERE5IKk0JtcDH5HV+gNPpuyBpAOvGoYxo2mabae7YMahpECvAI4OTn01gQ8c7aPKSIiIvJV\n0tLQQfHmWooLa6gubjz1bQb6ISrBTVp2Amk5iSSmRhI4dIjm/Dcp+z/5tH3yCYR6v/CzJ5aoKCLz\n8ohcuAD/pEzWHdnE6vL3KXjrP2kPtIfXLBDvjic3OZe85DymDp6K03qOp56dpZDbMc2mm+eCC3gi\ncAV1nw5kPtkAt50lM4dzx/RhDHDbz+iYIiIiIiJyalHxbubcMprJVw1ny4pytq+poLMj2OuallAC\n65uX8HHL1xnvXcY4z9unHX4b9OFqjtyymm2pY4m/YzFZX78ai/2z9/12q53r0q/j2rRr+f1bvye/\nKZ9yf3mvfQXMAG8Wv8mbxW8yN3kud4+7m3EJ407vhIiIiIiIiIiIiIiIiIjIBUOhN7ngmaa5vXva\n2/V0XQptHPdzAbCmO/h28Gwd0zCMKcA/gMRTHNME/udcBO1ERERELnZNR9o/DbodLmkKu070QA/p\nkxIZkZ1A/NAIOktLaV7+EqX5+XRs2xZ2XWt8PJHz5hG5cAF1YweTX72OVeXPsfnNzYTM8MJzAOnR\n6eQl55GXnEdmfCYWwxJ2rT6d5ZDbMQ1mBE8GLueZ4EKaiOhxv1ivg7tnDWfxpalEuhR2ExERERE5\nHzxRDqZdn0bO5alsX1PBlhXltDf3Pum6w4ziw5Zb2dx6PZnu95jofZNBOQ3EjekOvxX3Hn4DGHxw\nF/zy52z87f/QccX1TP7+t4gcmPDp7y2GhQmeCYx3j8cz1sMT255g06FNfb6eleUrWVm+kqmDprJk\n3BIuHXwphtF7LyIiIiIiIiIiIiIiIiJyYVHoTS4W9wMLAQ8nh9BygF2GYTwE/K9pmvXhHsQwjOHA\nvwOL+ey/H5PP5o6YQAnwYLjHEBEREfmqME2T9mY/dVUtHC5p4sDmWmrLmsOuFzfES1pOV9AtZpCH\nzj17aH79KUry8/Ht2x92XXtSEpELFuBdMI8DQ+28U7WGVWX/Q/H+4rBrWgwLOYk5nwbdkqOSw67V\np+6Q25i9LxN9dDusPXTWSpebiXwQHMuGUCbLQ5fQhqvHfeMjnHx79ghuuzQFj0MfRUVEREREvghO\nt41Jlw9jwtxkdn9QTeHyMprrOnpd4zfdFLVdx9a2qxjjXkW293UGTTr02eS3foTfYloa4JUnObD0\nOSpyZjPqnjsZOX3Sp783DINpSdOYljSNrbVbeWLbE6wsX9nn69l0aBObDm0iMy6Tu8fdzdyUuef2\nJiIiIiIiIiIiIiIiIiIict7oSkO5KJimWW4YxveBp/gsgHZ88M0F/AT4kWEYK4E3gW3Azh5KWgzD\niAXigCRgNjAXmE7XfzfHah/PAALAN03T9J2llyYiIiJyUeho9VNf3Up9VSv1lS3UVbVSX91KR0vv\nkwX6kpASSVpOAmnZiQxIcNG+ZQvNz7/Kgfx8/OXlYdd1jBhB5MIFuOblUhTdyKqK1aw58BNqd9SG\nXdNtc788WkUAACAASURBVDMjaQZ5KXnMHjKbaFd02LV61cMkt6SzULrMTGBjMIONobFsCo2lkoQ+\n1wyMcvLt2WncMiUFt8N6FroQEREREZEzZXNYyZozlIyZSez7uIbC9w5SX9Xa65oQdna2L2RX+zzS\nXB+Q413KoEklpxV+cwT9jPhoBYGPVvDOkFG4br6FQGosNvtnX1eNTxjP7+f+nuKjxTy5/UneOvAW\nQTPYa90ddTt4YPUDDB8wnLuy7uKq4Vdht2qytIiIiIiIiIiIiIiIiMiFTKE3uWiYpvmMYRjZwH2c\nHHw79txO10S4hScsN054/iCnntZ2bL9TBetM4EemaW44g5chIiIickHr7AjQUN1GXVVLV8Ctuivk\n1trYedaOMXB4FGnZXRPdoqJttH38Mc1/eZba/PcJ1IYfSnNlZBC5cAHm7Ev5wFnGqrJVFGz9Z9oD\n7WHXjHfHk5ucS15yHlMHT8VpdYZdq0eNlXCw4LOQW/2Bs1a6LJTAxtDphdyOSRrg4p7cNL5+STIu\nu8JuIiIiIiJfRharhdFTBzFq8kBKt9dR+G4phw409brGxMr+jpns75hJiqOQnIilJOXs+DT81lji\nIRToe9rasMq98Nv/5Ignmr05MylPG0ty6uBPf58WncavZv6K7038Hk/veJql+5biC/Z+v7mSxhL+\no+A/eKToEb6V+S1uGHkDbpu7fydDRERERERERERERERERL5UFHqTi4ppmvcbhuEFltAVQjs+kHZ8\nUK0vPe1jnrDP8f/+tWmafzy9jkVEREQuTAF/kIZDbV3BtqpW6qu6prc113Wc/YMZMDhtwKdBN6/X\noLVgA82//TOHV64k2NgYZl0Dd04OkQvm03JpJquDO1lVvorNH/+JkBkKu9306PRPg25Z8VlYjL4v\n9jwtX9KQ2zFDY9x8Ly+dG3OG4rCd5dcuIiIiIiLnhGExGD4+nmHj4qjef5RP3j1I2Y76PteVdeZQ\nVp/DIPtucryvMSznExLGNdNY4qF+nxd/S99fQ8W3HSV+/TLqrniXDeNmMuSubzJ9waVYLF1/pk+K\nSOLnU3/Ot8d/mxd2vcCLu1+k2d/ca81DrYf47w//m79s+Qu3jb2Nb4z5BgOcA/p3MkRERERERERE\nRERERETkS0GhN7nomKb5T4ZhlAH/59im7p8nht84bvtJZXo5xPF1DCAE/Ktpmr8Nt2cRERGRL6tg\nMERjTTv1Va2fTW+raqWxpg2zt3dMZ8gwIGlU9KdBN5c1QOu6tTT9Vz5Vq9cQamsLr7DNhnfKFCIW\nzKciewj5bUWsKv8H+zedashv/1gMC9mJ2eQl55GXnEdKVErYtU7pSx5yOybRY3D1cBs/uzUXu1Vh\nNxERERGRC5FhGCSNjCFpZAy15c0UvneQ4k9q+vz8d8g/hreP/huxtoPkeJcyctR6Yka10lLtpGGv\nl9ZDrj6P7QwFGL9lNfxgNW8OGklg0dfJu+tG4gZ4AIhzx3Ffzn3cmXUnL+95med2PkddR12vNRt8\nDTxc9DBPbn+Sm0ffzOKMxSR4wv/cIyIiIiIiIiIiIiIiIiLnj0JvclEyTfP/MwyjAHgCSOXksFtf\n0956m/R2fIiuElhsmubq8LsVERER+eKZIZOmunbqKrsnt1V3TW9rONRGKHgO023HsVgMhoyJIS07\ngRETE7AHWmlZtZr6n+bTWlCA2dkZVl3D6cQ7cybuebnsGuPl5cYPWVP+GLWbasPu1W1zMyNpBrnJ\nucweOpsYV0zYtU7SVNUVbvuSh9zcdivZKdFcMiyWqcNjaSvdgtViKPAmIiIiInKRSEiO5LK7szh6\nbRubl5exe2M1oUDvnw/rA6m83/gAm1puJdO9nDEDV5GSVI+vyUbDPi9HS9yYgb4/M4w+tA/+8mu2\nP/cnSmZczrh//iY5WakYhkGkI5Il45Zw29jb+Mf+f/DUjqeobKnstV5boI2ndjzF87ueZ1H6Iu7K\nvIvkqOTTOh8iIiIiIiIiIiIiIiIicn4p9CYXLdM0VxqGkQncD/wLEH3sV/Q+ya0vBtAO/B74tWma\nLWfUqIiIiMh5ZJomLQ2+Tye21Ve1UFfVSsOhVgKdofPWR0SMk9jBXmKTvMQmRXT9HOyFxjpaVqyg\n5snltH34EQSDYdW3eL1E5OZiyZ3Ox8ODrKzdQEHVb2j/qD3snuPd8cwZOoe5KXOZOngqTqsz7Fqf\nc4GE3BIjnVwyLIZLUmO5ZFgMYwdHfS7gtrKsr/tKiIiIiIjIhSg60UPe7WOYcvVwilaUs2NtJX5f\n75/VmoMD2diymE0ttzLM+REZnnxScopIGNdEY4mH+r1e/K19f0WV2NZAYv7f6Vj5Kk+NnMqA227l\nsmtnEeG04bK5uHnMzdw46kbeLX2XJ7Y9wf6j+3ut5w/5eXXvqyzdt5TLUi9jybgljI4dfVrnQ0RE\nRERERERERERERETOD4Xe5KJmmmYb8GvDMH4P3ArcDkwHrCfu2kOJE6/c3Qk8Bzxmmmb92exVRERE\n5Gxra+r8NNR2fMitsyO8IFk43JH2z4Jtg73EJXUF3ZweO6HOTvwVlfgr9+N7fw+VK1bSXlQEZnj3\nJ7BGRxMxby6+GdmsH9zEysPr2FzzS4L14b/etAFp5KXkkZecR1Z8FhbjLEwxu0BCbqMGRnDJsFgu\nSY1h8rBYhsa4MQwF20REREREvqq80U5m3JjOpMtT2ba6gq0rK+ho9fe6xsRKie9SSnyXEmGpZax7\nBWPTV5A2soaWaicN+7y0HnL1eWxX0M+03evhP9bzzh/TqV94HXO+dQNjhsZgs9i4esTVXDn8StZW\nrOXxbY+zpXZLr/VCZoh3St/hndJ3mD10NkuylpAzMOe0zoeIiIiIiIiIiIiIiIiInFsKvclXgmma\nrcBjwGOGYUQDucAlQBaQAiQBEYATCAFtQB1QBuwFPgLWmKbZ+21iRc6xt3/9LPuSVmJYQ1jsJhY7\nWJ0WbE4rdrcdh9eJM9KDJ8qLJyaKyNgY3NHxOCOicHmicNhdulhdROQi1NHqp7669aTpbR0tvV98\neDY53DbikrzEJB0LtkUQM8iDw9eIv6ICf/kuOrdV4H+7guqKcvwVlQQOHw474HaMLTGRiAXzqZuS\nzvuxh1lZtYb9tW9CbXj1LIaF7MRs8pK7gm4pUSln1B9wQYTcHDYLE4dGd01yGxZDTkoM0R7HWetT\nREREREQuHi6vnclXDWfi/BR2FlRRlF9GS4Ovz3UtoQQ+av0GH7XeRIpjMxlx7zMs6SMCTU007PNy\ntNSNGej7RiNZNfvh+f/l0GtP8O6k+aR96xYWXjoKp81KbnIuc4bO4ePDH/PEticoqCros97airWs\nrVhLTmIOS8YtYdaQWfobqoiIiIiIiIiIiIiIiMiXgEJv8pVjmuZR4I3uh8gFpc2aQbOR2RXN9HU/\nWnpb0Y4RKsEa9GENdmIJ+bCEfBghH4bpAzqh++czjy0HfJhGJ1g6CVn8YPFj2gKYtgBYg2A3wWFi\nOEwMlwOLw4nV5cLi8mBze7C5I7C7I3B6InG5InE7InA5PHhckV0Pp5dgRwuG1YYZDGBY9b8hEZHT\n4fcFu8Ntn5/e1nq074sLzxabw0LsYO+n09uiY6xE0Yj9aDX+im34D1TgX1uBr6KC8ooKTN/Z782e\nkoJnXh6lOYPJ95SwpnIVtYdehkPh1XPb3ExPmk5ech6zh84mxhVzZg2ew5BbeSiBjaGxbAxlsMkc\nS4UZXsgt1utgUmoMk4fFMCk1lqwhUThtJw5DFhERERER6ZndaWXC3GSyZg9h74eH2bz8IA2H2vqx\n0kJZ5yTKOifhtjQw1r2KsRPzGTn+MEdLPDTs9eJv7fvvhgPbG7hs/St0fPAGjw+fjHHDTVxz3SyS\nYz1MHjSZyYMms7NuJ09se4L8g/mY9H7TlcKaQgpXFDI6ZjRLxi1hYepCrBZ9ThIRERERERERERER\nERH5oihtICJykTMtNgIWGwG798wKBbsfHV3/NELBrjBdyIc16CMY9BEIduIP+vAFG2kya8D0YZo+\nzO4wXQgfQYsP0/DxzON/JmR0ErL6CFk7CVl8BG0+sAYJ2Q1Mq0HIZsHsfmC3gs0GNhuG3Y5hd2A4\nHFhsTuxWJ3aLA4fVic3qwmF14bC5cdrcOO0eHHYPLruHprJKDKud/UV2bA4XVrsTu9OFzeHCYXdh\nczpxON3Y7JpsIyJfrIA/yNHDbdRVdgfbuoNuTUc6zlsPFptBzEAvsYPdDIgwibI0EdFxGMeRcgIV\n5XRursBfUUFHfT3noyvnqFHY585iZ1YU71l3sb5qKe1V7WHXi3PFkZucy9yUuUwZNAWXzRV+c01V\nUFpwXMitOPxaJzhbIbcR8V6SHB2MjLFw++XTGRHv1eQCERERERE5K6w2C2OnD2bMpYMo2XqEHesq\nKdtZTx8ZMwDaQzEUtt5AYesNDHFsIyNlOcPTN9FxyELDXi+th/v+rOYK+pm7fwP8ZgMFT6ZRPOsq\npt2+iDljB5MRl8GDuQ9S2ljKUzue4s3iNwmEAr3W29Owhx+v/TF/jPwjd2bdyaK0RTis+nuhiIiI\niIiIiIiIiIiIyPmm0JuIiITFtFgJWDwE8JzVuoYZxNHpwxLsxBbsCtQde27p/rct6MMS6uz+XdfI\nuxA+QkYLQXwELZ20W3w0WzvptPrwW3x02gP4bRC0mexZCUE7mFYI2UxMmwlWE2xgWE2wmRhWMK0G\nWA0MqwWsBharFZtpxYoVG7aun4YNK3Zshh2rYcdmcWC3OLEZDmyWrvCdyxaJze7FtHswHG4sdje1\nlYfB6qToQxtWpwebKwK7y4Pd6cHh8uC023DYLDhtFmwWQ8EEkYtUKBjiaE1798S2FuqrWqmraqWx\nth0z1I+rA88Cw4AB8U6io0yibG1EdB7Be7QMx+F9BNaW46+uhkDXBYG9Dhc9B1wTxhOaPYWPR1l5\nN7iFzTXPE6wMhl0vbUAaucm55KXkMS5+HBbDEl6hL3nIzW41yBoygMnDYpmUGsOk1BjiI5ysXLkS\ngLSEiLPWr4iIiIiIyDGGxWDExARGTEygqa6dXRuq2b2hmpaG/k0Ar+wcR2XnOJxGM2MiV5ExK5+B\nrYeo3+elscSNGez7M9yEI8VMeP0PHH73OX6VOYeB37iJG3MzGDZgGP85/T+5Z8I9PLvzWV7d+yrt\ngd5vpFLeXM4vP/glfyr6E9/M+CZfH/11vGd6YzERERERERERERERERER6TeF3kRE5EvFNKwEbB6w\neeg8q4VDuLpDc9agD2unD2uws3taXedn2z99dJ703Ah1TaoL4iNo7SRgtNJp89Nph06bQacdWmzg\ns0OnDTrt0GE3aHOCz2liOkxwmBiOEBa7id0eYtumEBGmSUQo1PUwQ0SETBxBC7aQDVvIhjVox2o6\nsOAgYLjoNFz4LQ4CFjd+i5Og1dX9cBOyOTFtbkybC2wesLvB7u4O23kxHG6sTk/Xw+HB4XDitFtw\nWC047VacNsunYTunzUqb38RuAdM0FbwTOQNmyKSzBXyN8PE7pd0ht1YaDrcSCpyfcBtAhBcGODuI\nCDbgbanAfXg/joPbMZqPfm6/IBD+DLUzYLHgvmQSLdOyKEgP8G7bR+w/+jRUhVnOsDAxYSJzU+aS\nm5xLalRqeIW+5CG3KJeNSakxXDIslktSY5iQHI3Lbj1rPYqIiIiIiJyuqDg3U68ZweSrhlO2o46d\n66so3VbXrxu8+MxItrRdy5a2axlk30VGxvsMH7eB1hIrDfu8+Fv7/mprYHsDX//4DTo2v8VzKZM4\nevn1XHXtTCYPG8iPJ/+Yfx73z/x99995YfcLNPoae61V217Lg588yGPbHuOWMbdw29jbiHHF9Ptc\niIiIiIiIiIiIiIiIiEh4FHoTEZGvBsNC0OYmaHOf3bpm6HPhOEfQhzvUidXvw9rRPZku0IYt0NH9\ns/1zD2ugHb+1HZ+tnXZniDYn1Li6gnJtTmh1QZvToNUVpM3RTsjZhukwsdhDWBwmdlsIj9EVlIsw\nQ0T4Q0T4jgvRhbp/d1ygzmmaHIuv+U0r7Tjw4aDddNCOkxYcHMFBh+nAhpM2HLy45o90Gk78FhcB\nqxO/4ew6nxYXQZuLkNWFaXMTsnWH7GwuTLsbi8ODYfdgcbhw2u3HBey6QnWfBeyOhe2sn/7babN+\nbn+H1YLNGuZUJpHzxDRNWo/6qKtqpb6ylfrqrult9dWtBLqTvBUcOOd9uG1+ImnE23YIz5Fi3NW7\n8bQdxhbs3931zyXDbsc+ZAj2oUOxDx1CYHA8bQmR1MZYWGvu5f0jBdS2bw476Oa2uZmeNJ285Dxm\nD50d3oWIX/KQW3Ksm0tSY7lkWAyXpMYyMjECi0XBZBERERER+fKxWAyGjYtn2Lh4Wht97P6gmp3r\nq2g60tGv9Yf8YznkH4vDuIuRg9eRMTwf95FKGvZG0HrY2ed6V9DP5SUb+f/Zu+/4uM77zvefZ/pg\n0AH2ApAESJEiKYmkTFLNaragSJbc5RLbsuU4PdlNshsnr+Qmu3ezTq73tXF2ncSKI/s6cl5rXdtx\nJCu2bNmy5LBJJimJFAH2IpAACZDo0+ec5/4xA2AwGFSCBeT3bZ/XnPOc85QZSiIGM9/z4+938ca3\nG3hmw/3c9NjDvG/jUn795l/nUzd+iu8c/g7fOPANOuId447Vl+rjyX1P8k/N/8QHGj/Ap278FPMj\n8yf1PERERERERERERERERERk6hR6ExGZRVY9EGNFXRvJvn5S0TjpWBInniaTSOMmXdw02LTBOgab\n8YLrxTo+sH6wfqwNYAkAfqwJYk0Q1wSw3tCVfmqz1wyG6TxOEl8mjj8TJ5KJU5mK441lj71OvCA8\nl8CfieHNJHBMjJQ3TsKfIhaCaNBwPginQsOhucEAXTQIqSDYgIvxW3x+S9CTC8RZl4gbpcztJ+Ja\nylyXiOtS7bpE7PBxmWuJOC4+Z2rPL2H9xAkSzwXqEnn7cQIMECSRC98lCOTOBYf24zZIygTyKtuF\ncHNBu2xluzDWH8bnD44M0eUF59pb0/g8cNx/fFTQrvD6SNBLVUmAypIAXoVJpIhYX4qutgG62qN5\nIbcoqXjmsq0hYBOUJjso6T5FpO80kVg7kWgb/swVqdM2xFNbjbtgLsl5lURrI/TUBOmo8tBWnuF0\nMMb5VBcX4sfoSvwCxzrQT3abpppQDXcvuZt7ltzD5gWbCfmm+PfaVRxy83oMaxaUDwXcNtVXMa9c\nf2+LiIiIiMjsE6kIsrGpng3vruP04W6at7Vx/I3OSVVAT9kIB+JNHIg3MSd4jDWbX6QutYOBox56\nT4SxzsQ3Srr5/FFu/vFRzm57hr9ouJPgo+/lw/es4ZM3fpKP3PARvn/s+3z9wNc51Xdq3HHimTjf\nbPkm3zr0LR5e/jCfWfsZllUsm/TrICIiIiIiIiIiIiIiIiKTo9CbiMgssu7mu9i6deuMjvnSSy9h\nLdx15ztJJxzSSYdMyiEVT5MeSJAciBPrixHtHSDeP0AymiAVS5FKZsikHDIpi5sBx/Hguh6s9eFa\nHy7+bMDOKCw0Wa43SMobJBWsnFZ/Y52h6nGBTJxwJs6Cvuyxf7C6nJNfaS4bnsONkfIlSHrjxIIu\nsVyluc4QnApCNHccDUJssPJcBJxccM7vs0QoqCpXsD8cmktR5iaIuJZ5rkvYWqZVu80CmdxWIGM9\nxAmSwE/C5oJ1ZKvYJQYDdaeyIboYAbpygboE/ly/bBBvgDC9NkIPpbjBSrwlVZSXhqnOBeGqI/7c\nY4CqEj9VJQGqIoFcUM6PX1XprhnJWJqutlywrW24elu8P33Z1uBzEkQGzhCJtue2NkqjbQTSA5dt\nDfncUID43Ar6a8N0Vfs5V2E5XZbmeCTGsZI+Er4+oG9kJwfonrk1LK9Yzj1L7uGepfewrnYdHjOF\nf+eu4pBbJOBlQ91wwO3mJZVEgnrbJiIiIiIi1w7jMSy5oZolN1QTH0jx/NPb6DkOqUneDKUzs4JX\n+lbgM4/T0LidG1a/SLD1ND1HIqSjE79/mh/r5lP7niNx4If88OmN/O/bH+TdD93GQ+vey3sb3stP\n3v4JT+1/ipaulnHHybgZ/vXov/Ls0We5v+5+nlj3BDfW3Di5JyEiIiIiIiIiIiIiIiIiE9K3J0VE\nBGPAH/DiD3hndFxrLZm0SyaZDdOlkw67dryGm4EbV68bGbCLJknFUqRjadKJNOlEZqhPOu2STrlk\nMmQ31wMoTFfIGi9pfylpfymJaY7hdZK5MFycykyc2ngcX39+UK4wOBfHk4mR9iZIeWPEA+mhYFws\nCOdzwbnBIF228ly2Gl0sBPGAxeO3hDzZgFw2GFdQVc4WC9TlHVuXYN4NwX3GpYw4ZcRn9h+TGPRF\nw/TaUnqI0G3L6CVCjy3lCKX02Ai9lNJjs/vpYCUmXIU3Uk1ZpKRoWK6yxJ8LzWX3g76Z/XdQpiad\ndOhqj2art+UCbhfaokR7kpdtDR4nlavW1k5ptG0o4BZM9lzW/+q5Bvqrgpyv8tJe4dJalqKjAs5V\nGs5VQX/YAdPNjKbYJuAxHm6ec/NQ0K2uvG7ynfvas+G2qzDkNr88xKb6Km6tr2ZjXRU3zC/Dp9Cs\niIiIiIhcJ8KlAWpWQfVKWF23geZtbRzb00Em7U7YN2NDHIzfx0Huo7r2bVYvfpFFvTuJHYbYueCE\n/UNOmodO7oKTu3j9x4381up3svyRB/j41jt45uF3s6NtB1/d/1X2nNsz7jgWy4unXuTFUy+ydcFW\nPrvus9w6/1aMbgYmIiIiIiIiIiIiIiIiclEUehMZhzGmEngMeDewFpgDRIAe4AjwCvDP1trmK7ZI\nkauYMWYoTBcuy7aFa7KPy2+eWiggn7UWJ+2STjlD1enSqVyVuryA3eCWyV339qkzuGlLZWllLliX\n7ZdJDYfqrJ14/muZ4w3ieIMkg1XT6m9cJxuacxKUZGKUpxP44tmKcoNhumLhOYc4SV92iwXtcEgu\nCBdC0Bo0REO5anO5EF20ZPgYr6XU2hFhuPzQ3IgQXV64bjA0V5o7nugHo3ITp9zEWULn5F6QeHaL\ndgbpoZReW0p3LjTXY0s5mQvLDZ5L+itwQ5V4SqrwRmooKy0dWU0uF5DLVpXLVpcL+RWUmyon7dJ9\nLjqyelvbAH3npxsXnTrjZiiJncsLtmXDbeHEBQyX5z9E/SE4VwkdVWYo0NZRCR2VhvPl4HgdsuXZ\ngOnVZLxoYV+YrQu2cs/Se7hr8V1Uh6on1/EShtxO21p2OmumFXIzBlbNKxsRcltUGdYXIUVERERE\n5LpnDCxsqGRhQyV3friRw6+do3l7G+dbJ1fhvCuzlO0DT+D1foLlt+yi0X2J4PGT9J0IY52J39Pe\n0nmEWzqPcHb3d/mbZbczcN8v8cF3ruYf3/U13rqwj6f2P8XLp1+ecJyd7TvZ2b6T9bXreWLdE9y9\n5O6pVSYXERERERERERERERERkSEKvYmMwRjzn4HPAxWDTXmn5wC1wFbg88aYfwF+11rbdnlXKXJ9\nMsbgC3jxBbyESyff76WXzgCGe+/dWPS8tRYn444MzCVd0snMcLAukQvJDbYNnR/sl8mez1WqSyWy\n564X1uMlHSgjTdm0x/BmEvgycfyZGLVOAt9ADF/PYGiu4NHJPuLGSXnjJL1x4sE0saA3V3EuW13u\nQtDwdhBig8G5kMk9Zq+JBwBjCBcE4kqspcR1idhsWK7EtZTY7PlI/vlcuC7iWsK560PWDv3FETFJ\nIiRZZC5M/AIkc1s3JKyfnlz1uN5cdblWG2F/LiTXQ4SYpxw3VAm5qnLe0mpKI+VURoKjqslVRQJU\nlwQIz3BVx6uV67j0dsa5cCZXva09G3Dr6Yhj3cuUcLUuJfGOoWBbNuTWRjjeicde2v82pL3QUZEN\nsXVUDofazlVmQ27x0NUZtKoJ1XD3kru5e8ndbFmwhZAvNHGnSxxy2+WuGarmNpWQW8jv4eYllUMB\nt1uWVlER9s/Y2kRERERERK5FwRI/6+5ezNp3LqLz7X4ObGvjyGvnSCedCfs6BDiSuIsj3EVFXRs3\nNP6UBWd3Ej/skI5O/JHY/Fg3v3LgeRIHf8RPn9vIk+vv450PbOZPb/0iv73hbb721td44cQLOHb8\ntew7v4/f/dnvsqJiBU+se4KmZU34PXo/KCIiIiIiIiIiIiIiIjIVCr3JrGeMKQEOAMGCU3HgJmvt\n5G4FOzxeCHgaeD8jg26F347PP/d+4C5jzCPW2lenMp+IXD2MMfj8Xnz+qYXpJuI6LqmEQyqeIRnL\nkIpn2P3a6zhpWFHXSCox3J6M5++nScWybZc4G3NVcXwhHF+IJNOtNpcZqiBXnolTnYjjG8irMFck\nPOdxEmS8MVLeOHF/gljQkAx4yHizwaG0FzK5rc8LF3yQ9pqhtkzeNWkvZHzgeMBnLF4P+AwEvC4B\nY/Abl6CBoLGEDQSMJQzZAJ2FsGsJW7IBOxdCrqWWKItsDOgEY7DWZB/J7ccNNm6gK9uWsl4GiNBn\ns1sPJbTaEvopYcCWEDclJD0lZDxhfr6nE2+oHH+4nGC4lLKQn7Kgn9KQj9KAl9Kgj9Kgj5DPAxis\ntWCzIdHByojDbbn9gjasxULun+Ncv4IxyO0PjZE39lht5K/BHZzD0nc+QVdblO5zUdzM5SvfGIqf\nzwu2tROJtVMSO4vXzVyyObtKGRFk66g0nMtVbusuA3uVVRAr8ZVQE66hJlQz6rE2XMvC0oWsql41\n8V3w+9rh1PbhkNuFozO2xosJudWWBtlUV8Wm+io21Vdz48Jy/F7d0V9ERERERGQ6jDHMrStnbl05\nt3+ggaN7Omje1sa5E32T6t/rLOTV+CfwVHyU+jt+wbLYK4QOHSPeEZiwb8hJ89DJXTx0chev72zk\nP6y4g+r77uVjt/0Bv3nTb/KN5m/wvSPfI+Wmxh3nWO8x/njbH/Pl17/M42sf530N75vczV1ERERE\nN2p3UwAAIABJREFURERERERERERERKE3uSY8BNQVtFnga1MNvOX8HfCBvHHGkn/OkK3+9mNjzF3W\n2jenMa+IXKM8Xg+hiIdQZPhuzofOZB9vunfJhP2ttWTS7lAAbjAcN+I4LzQ34jiWJhXPkE5dP6k5\n6/Flq80FLqbaXByPmway4TIv2S1oIFu/LRsuwzHgDAaLhoNoAEwU2slxgIHcdjmEctuQ84M72RJz\ng4XmziNjCSR7hoNtuZBbSewsPic543PFA3CuEjorDOfyqrV15EJuaf+VD7WV+ktHBNiqQ9UjjmvD\ntUP7YV94epNcpSG3hrmluZBbNZvqqqirKcFcZUFDERERERGRa0Eg5GPN7QtZc/tCLpwZ4MC2Ng6/\nepZkbOIbzbj4OJ7cynHvVkrXdtDo+Rnz3n6V9LE41pn49ze3dB7hls4jtO97lm8/eztHNtzN++/6\nON9+6AmePfEtnjn0DNF0dNwx2qJt/PdX/ztfefMrfGLNJ3hs1WOUXcTvrkRERERERERERERERESu\nBwq9ybXgQ7nHwRDa4DeN/2aqAxljPgw8zuhAGxQPwBWeKwP+xRiz1lobn+r8IiLFGGPwB7z4A14i\nlYVFLSdnsNrciHBcsRBdYmR7z4U+3JTFzXiGK3JdBxxfGIdphnPkmuFPDxDJhduGQ25t+DMz91e8\nY+BC+cgwW364rT8MXIEQVVmgrGg1tvyqbIMBt0tyh/qrMOQW8HpYv7iCjfVV3FpXzca6KqoiE1cH\nEBERERERkZlVs6iUux5byW3vW8Gx1ztp3tZG25GeSfUdcOfyuvsYZuEHWbL0DZb2/pxw82Gc6MTh\ntwWxLj731vdJtLzAT3++ic+tupONd97Hl7Z+iP39P+SbLd+kK9E17hhdiS7+Zu/f8NT+p/jwqg/z\niTWfoDZcO6m1i4iIiIiIiIiIiIiIiFxvFHqTa8G9jA6kNVtr35rKIMYYH/CF/Ka8/cJA3WBbfvvg\nfj3weeDPpjK/iMilVKza3GS89NJLgOGee+4hk3JHV5SLp0nFnaGKcsm4QyqWzj7G0yRjw9XmMunr\nKDUns4o3Ey8ItmX3/el+ZiJu1heGjiJV2s5VGi6Ug+O9PKG2ikA5NaFqaoJV1ISqso/ByuwWqKAm\nWE5tsJJqfzkBjxesBesW39IZSLVDT9vY1wxt44yTfz6TgDN7rpqQW2WJf0QVt7WLKgj5vTO2LhER\nEREREbk4voCXVZvns2rzfHrOxWje1sbBXe3E+9MT9rV4eTuzkbcjGynZ3MXyzM+Zc+xVzJm+CfuG\nnDQPndzJQyd3sndvI3+9/A6SG7fwuS3/SKbkNf754Ddoj7aPO8ZAeoCvvfU1vtn8Td7X+D4ev/Fx\nFpctnvRzFxEREREREREREREREbkeKPQms5oxphGoZnT47PlpDPc4sCzXv7CCmwFSwE6gPTfnFqA8\n7xry+v6BMear1trT01iHiMhVxxiDP+jFH/RC1fSqzTmOSzrukMyF4UaE54odJ7KPyWg2NJdKONdV\ntTmZeR4nRSTWPiLYFom2EUz2XFS4LeXNhto6KrKhtnNV2VBbRy7kFg9eulBbleNS47jUOA7VjkNN\n0S17fmqR19lruiG3+poSNtZVc2t9FZvqq1heW4rHc/mr7ImIiIiIiMjUVc4r4bYPNLD50eWcePM8\nzdvbaG3pGn27vCJibjVved4Lje9l4ap9LOrYTunBZkzGnbDvhs4jbOg8Qvv+53ju57fz6qqtNG35\nHyxacZDvn/pnjvceH7d/yk3xzKFn+M7h7/Dgsgf5zNrP0FjVONmnLSIiIiIiIiIiIiIiInJNU+hN\nZrstY7RPJ/T2qwXH+eG3rwO/b63tGTxpjCkB/hj4I0Z/dB4CPgP812msQ0TkmuT1evCWegiVTi96\nY60lnXSGw3Gx4ZDcYFvR8Fwsna02l3BUbe46YdwMJbFzI6u3xdoJx89jJvNttyK6SuFc5XCQ7Vyl\nGarc1lMK1sxMOMpYS5XrjgqsFduvuo6CbOOZTsjN5zHcuKiCTXVV3FpfxYa6KuaWhS7DakVERERE\nRORS8vo8NGycS8PGufSdj9Oyo52WHe1Ee5KT6t/mrqetdj2hO/uoi2+n9vAugl3nJ+y3IHaBX33r\nOT7Z8gI/3buRbyy/gyW3/CGfXNXG3t7v8taFt8bt71iH548/z/PHn+fuxXfzxLonuHnuzZNas4iI\niIiIiIiIiIiIiMi1SqE3me3WFGlzgd1TGcQYsxLYyHDQLf/x69bazxb2sdbGgD8xxvQA/w/DwbfB\nvh9DoTcRkRljjCEQ8hEI+Sitmt4YP/3JSzhpeMfGLUXDc/nHrpP9z7rxgMFgDLm/GSxYF1wXYy24\nztAxrpvdd3KPrpNrd8DJ23cdjOvgZjI4Tho3k8J10riZDNZJYzMZXCcNjoN1MuBkwHEwTgYcF+M4\nGNfF4+Q218XrZgNTYLPBrlxZvOH9wXYAN5vqtnY4BGaH2yYzhiF3t/MRYwzu26G1wPC6xro2u0/B\nNSPnGTleYdvgfNkxvE5qyuG2WCBXra3SDIfbKrJV2zrLIe2ffqjNYy1VjkttsfCaO/K40nH1A/oE\nphNyKwv62JALuG2sq+bmJZWEA97LsFoRERERERG5Usprw2x+ZDm3PlTP2we6OLCtjVNvXcC6E//O\nIGHLORR6kEPrH2SOPcjCth1UHtuH102P2y/spHj4xE4ePrGTvftW8tzy2znZ+DhNNw/Q4fkBeztf\nm3Dul0+/zMunX2bTvE18dt1nuW3hbZgZutmOiIiIiIiIiIiIiIiIyGyi79TKbFdXpO2otXZyt20d\n9ljefv4n3n3A74/X0Vr7P4wxHwA2F/RtNMast9bum+JaRETkEjEe8AWhcm7JlV7KjMtWwosTjfcS\njfUSi/USi/WRSPSTiA+QSPSTjA+QSkRJJWK0nXkbN52ktCSEk0qSScZxUkncVBKbTOGmU3gyDr4M\n+BzwOyMfh/dt9hoX/JmR5wev8TtX+tUBx8D5Coaqs3VUmBGV2/rDwBS+QOa1lupxK7ENH1e6LopX\nTd9pW8ur7mp2uavZORRyG//PalFlmE31VWyqr2ZTXRUr55Xh9egLgiIiIiIiItcjj9dD/fpa6tfX\nEu1J5qq/tdF3PjGp/p3mBjoX3UBgUZTF/buoPbKL0r62Cftt6DzMhs7DtO+v4bk3buf1+l9i3foH\n8Fa9zJtd27AT3LBn97nd7D63m9XVq3li3RPcv/R+vB79hkFERERERERERERERESuHwq9yWyXH3ob\nrMy2fxrj3F9wPDjWN6y1vZPo/1fAvxRpfweg0JuIiFxy2Up4JQRCJVRVLZjw+pdeegmAe++9d8xr\n0m6aWDpGLB0jmo4SzUSHjzNRoukofblzsUzumtz+UJ9UP/FUlEQqhptKjxGcm0KALpO7rmj/7Pmk\nP1u1bTDgdq7ScKEc3AlCT76CIFvRymy5/QrXxTO1PyKZpKmG3DwGVi8oZ1NdLuRWX8WCivDlW7CI\niIiIiIjMGpHKIJt+qZ6NTXWcPtjNgW1tnHizE9eZuPpbigjHy+7j+Ib7qM4cZ17rDuacfh2fM354\nbkHsAr/61nN8suUFfnJgE99ffjsVDXexYOlODkdfwbHj3y2opauFP3jlD6gvr+fTaz/Ne5a/B7/X\nP6XnLSIiIiIiIiIiIiIiIjIbKfQms90CGHU71LNTGcAYE2Z0lbZB35zkMC8AcSBU0H7TVNYiIiJy\nNfF7/FQEK6gIVszIeIMhungmPhSQGxWSS+eCdYluoskeosleYqkBBlIDDKSjRDMJYm6KhHVIGnfi\n52AtNY7D6nQ2sDYYZKvKuFQ7LlWOS7UDlY5LqQsWDxaDO7R5sHhw8eLgwcXDgDX0jThfbH/0OReT\nPbaeoWts3rnssSev/+C5gvPWjHH9GPONO//Y841e23h9p//cndx5MFywZZylmvFCbiUBL7csrWRT\nXTbgdsvSKkqDelsjIiIiIiIik2c8hiVrqlmyppp4f4qDu87SvK2NnnOxSfXv8i2na9lyjtR/kAU9\nv2DuiV2U950cty552EnxnhM7eM+JHezZv5Lnlt9Bou4/saJxL2ftK6Tc5Lhznuw7yZ/t+DP+9o2/\n5VNrPsUHV36QEn/JFJ61iIiIiIiIiIiIiIiIyOyib4fKbBcp0jaZymz5bgMCjA69tVlrd09mAGtt\nwhizG7izYJz1U1yLiIjINWumQ3QZNzMUmMuG5gaIxrvwATWhGmrCtZQFyjEeLxjP0OZaSFtLxslu\nKccl47p0D+47lrTjknGzj+m8trRjybjucL/ccXqwj5O379oRfVvPtOG4UD1nTnac3DWpTPaxWN90\n0fVMfPf5a8ncsiC35iq4baqrZvWCMnxe1dkTERERERGRmREuC3DLu5Zy8/1LaD/aS/O2No7u7cBJ\nT3yznYwJ0Vp1J61Vd1KeamV+607mtf8Cf2b88NzGjsNs7DhM2/4avr/sdk4u/20qVxwgVfJzEm50\n3L4dsQ6+uPuL/MP+f+DjN3ycj63+2Iz9rkVERERERERERERERETkaqLQm8x24SJt0wm95TNkg2s/\nmuI4B8mG3sj1N8C8KY4hIiIik+Tz+CgPlFMeKJ9SPw8QBC53cbCXXjoPwL33bryocay1OK7NBuRy\nAbyM4xYN4Q2G68a7NjUYwMtdk84Mj5HJBe/ShaG8sfoWBgSL9XWz6x/LqnllbKyv4tZcyG1xVRhj\nxrtXvoiIiIiIiMjFM8awsLGShY2V3PHhRg6/do7mbW1cODMwqf59gSX0rVjC0eXvZd6F15nfuoPK\n3qPjVn9bGL3Ar771HJ9seYEXl27i+w2Pk1h+klDNdhK2Z9z5epO9/N2bf8fXD3ydD638EJ9c80nm\nRfSRhIiIiIiIiIiIiIiIiFw7FHqT2a5Y6G2qtozR/vIUx2kv0lY2xTFERERExmWMwec1+LwQxnul\nlzMtrpsfwhuutlce8hO53GlEERERERERkQKhiJ/19yxm3d2L6DjZT/O2Mxze3UEm6UzY1zUB2ms3\n0167mUjyLPNP72TB2V0E0mOH58JOikdO7OCREzvYM3clz654iDdXRimdv4205/y488Uzcf6p+Z/4\nPwf/D4+seIRPr/00deV1U37OIiIiIiIiIiIiIiIiIlcbfaNUZrsko4NvkSmOsYVsZbZC26Y4TrRI\n29RKz4iIiIhcBzweQ9DjvezV9kRERERERESmwhjDvGXlzFtWzu0fauTo7g4ObGuj42TfpPpHg/M5\ntuJ9HF/+Hmov7GPhmR1Udx/EFP1IImtjx2E2dhzmzL5avr98Kz+7MQyLdmEDbePOlXbTfPfId/ne\n0e/xrrp38cTaJ1hds3pKz1dERERERERERERERETkaqKvmcps18fo0FvVZDsbY9bmri/8hPmstfbk\nxS0NgOAMjCEiIiIiIiIiIiIiIldQIORjzR0LWXPHQs6fHqB5WxuHXztLMpaZsK81PjprN9BZu4FQ\n8jwL2rLV30LJnjH7LIqe59f2f59PtgT5yZJN/Nvad3B++et4S06NO5drXX508kf86OSPuH3R7Xx2\n7WfZOG8jxpgpP2cRERERERERERERERGRK0mhN5nt+oB5BW0NU+h/T8GxIRuA2zmNtVQWaYtNYxwR\nEREREREREREREblK1S4u5a6PrOS296/g2N5s9bf2o72T6psI1nJi2Xs4Uf8QNRcOsLB9OzVdB/BY\nt+j1JZkkj5zYziMnYPfcVTy/+gH2rzuBt+zwhHNtP7Od7We2c/Ocm/nsus9y1+K7FH4TERERERER\nERERERGRWUOhN5ntzgAryQbVLNnQ2vop9H94jPZt01hLsQpzA9MYR0RERERERERERERErnK+gJdV\nWxawassCus9Gad7WxsFdZ0kMpCfubDxcqF3Hhdp1BJM9zD+7k4XtOwknLozZZVPHITZ1HOLM7lq+\nv/IOfr6xm3RtM8bYcad6o/MNfuul36KxqpEn1j7BA/UPTPWpioiIiIiIiIiIiIiIiFx2Cr3JbPcm\no6u1LTLGrLbWtozX0RhTA9xNNixX6OVprKU2f/jc4+Ru7SoiIiIiIiIiIiIiIrNW1fwIt3+wkS2P\nruDEvvM0bztDa0v3pPomg5WcqnuQU3UPUtXVwsL2Hcw5/yYe6xS9flH0PL/2+st8an+AF+vX8cIm\nS2ddM8ZT/PpBR7qP8Pl//zxffv3LbPVvZXNk85Sfp4iIiIiIiIiIiIiIiMjlotCbzHZvjNH+K8Dv\nTdD3U4Cf0aG3bmvtWOOOZ13BWBY4OY1xRERERERERERERERkFvL6PTRsnEvDxrn0nY/TvL2Nlh3t\nxHpTk+rfXb2a7urV+FP9zD/3KgvbdxCJnSt6bTiT4pGje3nkKOyet4If3BLhrfVHwDt+pbnTA6f5\nNt/mhd4XOL3/NI+teozSQOmUn6uIiIiIiIiIiIiIiIjIpaTQm8x2rzA6aGaAzxlj/sFae7BYJ2NM\nOfCfCvqa3PGPp7oIY0wEaCxy6thUxxIRERERERERERERkdmvvDbMlkdX8I6Hl3HqrQs0b2vj1FsX\nsIW34isiHSijdcn9tC65n4qeoyxs387cztfxusUDbZvOHWPTC9C2rYp/W1vHz99xhmQkPu4c/W4/\nX9r7JZ7a/xQfueEj/PKaX6Y6VD2dpyoiIiIiIiIiIiIiIiIy4xR6k1nNWnvKGLMduIORAbYS4Hlj\nzKPW2gP5fYwxpcD/B8xjOCSX3/eb01jKzYCH0VXjFHoTEREREREREREREbmOebwelt00h2U3zWGg\nO0HLjnZatrfT35WYVP/eygZ6Kxs40vAh5p97jQXtOyiLnil67cKBbn5lVzef3O3jx41L+fHWLs7N\nGxh3/P50P1/d/1Webn6aRxse5dEVj7K2di3GmCk/VxEREREREREREREREZGZotCbXAueJht6g5EB\ntuXAHmPM88BOoI9sNbaPA/MpHnhrB16YxhruHaP9zWmMJSIiIiIiIiIiIiIi16DSqhC3PrSMTQ/W\n03qwi+ZtbZx44zyuO3H5t4y/hNOL7+b04rsp6zvJwvbtzOvYg89Jjro2mMnwnpbjvKcFXl80l397\nR5r9q/qw4wTZEk6CZw49wzOHnmFR6SKa6ptoWtbEqqpVCsCJiIiIiIiIiIiIiIjIZafQm1wLvg78\nHrCS0UG2APC+3DZo8JNZW9BmgS9Ya91prOGDRdoc4LVpjCUiIiIiIiIiIiIiItcw4zEsXVPD0jU1\nxPpSHNzVTvO2Nno74pPq319ez6Hyeo6u+ABzO/awqH07Zf2nKBZNu+VMB7d8DzrLwzy7IcS/b+gj\nHhw/xHZm4AxPvfUUT731FPXl9TQta6KpvokVlSum8WxFREREREREREREREREpk6hN5n1rLUZY8xv\nAS+SDa4VBt8KP7nNb7d5bUeBJ6c6vzGmEVhXZL4D1trYVMcTEREREREREREREZHrR0l5gA3vruOW\ndy2l7UgPzdvaOLa3Eycz8T36HF+I9oW3077wdkoHTrOwfQfzzr2GPzM6PDenL85nX47zye0efrom\nwg+3RDlbPXEFt5N9J/nKm1/hK29+hYbKhqEKcHXlddN6viIiIiIiIiIiIiIiIiKTodCbXBOstT81\nxvwh8FeMDr7ZIl0KQ3Fx4MPW2sw0pv9wsSUB26YxloiIiIiIiIiIiIiIXIeMMSxaWcWilVXc+Via\nQ6+epXlbG11t0Un1HyhdzOHGD3N0+XuZ2/k6C9p3UNl7dNSdAQNplwff7OPBN2F/XYjntqTYt8xg\nzcQBuKM9R/nyG1/my298mdXVq2la1sQD9Q+wqHTRNJ6xiIiIiIiIiIiIiIiIyNgUepNrhrX2i8YY\nH/BfAQ/Fw25Dl+ceDdAPfNRa++ZU58zN9+tjzPXDqY4nIiIiIiIiIiIiIiISivi56d4lrL9nMedO\n9tG8rY0juzvIJJ0J+7reAGfnb+bs/M2UxM6ysH0H88++SiA9MOradacSrDsFnZVenttkeGW9SyI4\ncfgNoKWrhZauFv56z1+zvnY9TcuaeHfdu5kXmTfl5ysiIiIiIiIiIiIiIiJSSKE3uaZYa79gjHkR\n+AqwofA0jLqh6Y+B/2itbZnmlB8DFjI69JYAXprmmCIiIiIiIiIiIiIiIhhjmL+sgvnLKrjjg40c\n2X2O5m1tdJzqn1T/WMl8jq54P8eWPcKc8/tY2L6dqu5DmIKPNeb0ODzxE4fHX4bmpUG2r3TY02jp\nLZ1cAG7f+X3sO7+PL/7ii9wy9xaaljXxrrp3URuunepTFhEREREREREREREREQEUepNrkLV2N7DJ\nGLMOeD9wMzAfqAb6gHPADuDfplPdrcDv5x4LP/V92VqbuMixRUREREREREREREREAAiEfdx45yJu\nvHMRna39NG9r4/Br50jFMxP2tR4fHXM30DF3A6H4eRa272DB2V0EU70jrvNmYN3xJOuOAy/A6Xke\ntq+E3Y2GU3MBM34IzmLZ27GXvR17+cvX/pJb599KU30T9y+9n8pQ5UU8exEREREREREREREREbne\nKPQm1yxr7X5g/6Ua3xhjgEfGON07RruIiIiIiIiIiIiIiMhFmbOkjHd+dBW3faCBY3s6aN7WRvux\nyX00kQjXcnz5Ixxf9jC1F95iYft2qrua8Vh31LWLz7k8dg4e+3foK4WdKw27GwzNdYa0b/wAnGtd\nXm1/lVfbX+Uvdv0FWxZuoam+iXuX3ktZoGxaz1tERERERERERERERESuHwq9iUyTtdYCp670OkRE\nRERERERERERE5PrkD3i5YesCbti6gK72KM3b2zi08yyJaHrizsbD+dr1nK9dTzDZzYL2XSw4u5Nw\n4kLRy8sH4IG9lgf2WlJ+yxv1HvY0GvY2GHoj4wfgMjbDtjPb2HZmG/6dfu5YdAdN9U3cveRuSvwl\n03nqIiIiIiIiIiIzL5OEZD8k+3KPg9tAkbbcdakBSCfA4wOPN/vo9Y889viv0vM+MOP/XkdERETk\nSlLoTURERERERERERERERGSWq14Q4Y4PNrL10RUcf7OT5m1tnD7YPam+yWAVJ+sf5GT9g5TEzlHV\nfZDqroNU9RzG5yRGXR9IG95xxPKOIxaL5ehCw+4GD3sbDKfmMu6XpdJump+1/oyftf6MkDfEnYvv\n5MFlD3LnojsJ+ULTffoiIiIiIiIicr1y3WzwLD+MlioMp+UH2QZGtdvcvnEncSOha4w1HqzHnw3E\nmVwQzusbDsV5fBhv9rwZbLtqQnuTCPV5vHnnfeDxXOmXXERERKZAoTcRmXWMMYuBm4BlQDngAD3A\nYWCvtbb3Ci5PREREREREREREROSK8fo9NG6aR+OmefR2xmje3s7BHe3E+lKT6h8rmUesZB5nFr0T\nYx3K+04OheDK+0/ise6I6w2GxjZobHP56M+hsxz2Nhh2NxgO1BkyvrEDcAknwYunXuTFUy9S4ivh\n7iV301TfxO2LbifgDVzU6yAiIiIiIiIiV7lMEn+qF58Tg/Z9xQNqI8Jso6uv2WQ/JtV/0UuZbK2z\njPWTcktI2QhJW5LbLyFjgxhcDC4e4wztG+PiIXvsyR0P749s9wz2wRlx7DG5tqH9vG0GirQZ62Kc\nZPZbmNcBi8E9c6VXISIiIpOl0JuITJsxxgAvA3eNccl/sdb++QzNVQo8AXwWWDvOpRljzCvA3wP/\nYq21MzG/iIiIiIiIiIiIiMhsUzGnhK3vXcE73rOMU/sv0LytjbcPXGCyvzm3xktvxQp6K1Zwsv4h\nvJk4VT1HqO4+SFVXCyXxjlFfCpvTBw/stTyw15Lww5vLDHsaDXtXGPoiY38TK5aJ8YMTP+AHJ35A\nmb+Me5feS9OyJjYv2Izf45/+iyAiIiIiIiIiM8d1IR0do4JafhW1woDayOprNtmPcVLcOTjuL6a3\nnMlmvqyFDAFSboRUXlhtOLgWIZlry54fGWobPO9ydf2OwhQJ1OUH74aCdMbJ2x8M3jkFYbuRgb3B\nsN1YY48M7DkFYxfMOSKw54wI743ZPqWxC4OGo8cbcZ0zuZtDiYiIyJWn0JuIXIxfZezA24wxxjwK\n/C2waBKX+4D7cturxphPW2tbLuX6RERERERERERERESuZl6vh+U3z2H5zXPo70rwg3/eQc8JyMSm\nNo7jC3O+dj3na9cDEEx0Ud19MBuC6z5EID0w4vpQGjYftmw+bHGBowthT4OHPY2Gt+fAWLcj70/3\n8+yxZ3n22LNUBiu5v+5+muqb2DRvE16PdxqvgIiIiIiIiMh1LpMaHUZLjRNQG2ubgapqMPmwGuQC\nazaYC6lFhgNrubDaYIgtmQurDQbXhs67JaRs+KoLrM0EixeLFzd7kH9CxnG86wDwO1d6GSIiIjIJ\nCr2JyLQYYxYDf3UZ5vm/gD9nau9zB20mG3x7zFr7wxldmIiIiIiIiIiIiIjILFRWHWLOjVC7GhoW\n3ETztjZOvnke1536t6GSoWraF9xG+4LbACjtf3soBFfRewyvmxm61gOsbIOVbS4f/Tl0lsOehmwV\nuANLDRlf8Y8BepI9fOfwd/jO4e9QE6rhXXXvomlZE7fMvQWP8UzrNRARERERERGZFUZVVRsYI6DW\nlxdgK6y+lmt3klfkKVgLaRsas4JafogtG1zLO7YlJN0IaRvG1dedRURERK5L+ilQRKbr74HySzmB\nMeaPgf8yxmkLHANaAT/QCMwrcl0Z8D1jTJO19uVLsU4RERERERERERERkdnGeKDuxhrqbqwh1pfi\n7QMXaG3povVgN/G+1LTGHChbykDZUt5e+m48TorK3qPZKnBdBymNtmHybjM+pw+a9lqa9loSfnhz\nWTYAt3eFoS9SPAB3IXGBbx36Ft869C3mlszlgfoHaKpvYl3tOswYVeNERERERERErijXzQbQ4l0Q\n74ZYd/Zx6Lgr77hndHjtCpbsGg6sRXJV04Yrpw0H1yJ5VdXyQm15wTaLqraLiIiIyPQo9CZmO/r0\nAAAgAElEQVQiU2aM+QjwcF6TS/YmrTM5x7uB/1bklAt8Gfif1tpTBX22kA3JvbugTxB4xhhzi7W2\nbSbXKSIiIiIiIiIiIiIy25WUB7hh6wJu2LoAay0XzkRpbenidEsXbUd6yKTdKY/pegN0Va+hq3oN\nrAB/qo/q7kPZSnBdLQRTvUPXhtKw+bBl82GLCxxdCHsaPexuMLTOAYoE2jpiHTzd/DRPNz/NwshC\nmpY10VTfxA3VNygAJyIiIiIiIjPP2mwgbURIbTC01jNGiC0XcLNTf1998cs1pG0oF07LBdPyg2qD\nwbW8ymr5wbVswC2swJqIiIiIXFEKvYnIlBhjaoD/VdD8FeA3ZnCOEuCrQOGn0gng/dbaHxbrZ63d\nBTxgjPm/gT8pOD0X+BvgQzO1ThERERERERERERGRa40xhtrFpdQuLuWWdy0lk3Y4e6yX1pZuWlu6\n6Gztn9ZN5tOBcs7Nu5Vz824FoCTang3AdR+ksucIPicJZO+wt7INVra5fPQV6KiAvSuyVeAOLDVk\nfKMDbW3RNr721tf42ltfY2FkCe9Z8Us01TfRUNVwMS+FiIiIiIiIXKtSsVHBtYVtO/FnBuBHPx0j\nxNYNbvqyLM9aQ8qGSeYF0gYrqKVtmORgKG3M4FqElA0zw/exv254M3F8mQQ+J5Hbj+Nzcm1Dx3nn\nMnG8bgowWOPJbnn7DLV5hs8bk20f0VZ4rRl5juG+o9vyNjxQ0Dfb5sEdmsOMmJsi6x5qn+S6RURE\nRC4Fhd7kumGMmQ9sAG4ElgDzgAjZKmCX4nYkSWvtg5dg3CvtS8CcvOM24I+YwdAb8HvA0iLtnxsr\n8JbPWvunxphFwKcLTn3QGHObtXbHTCxSRERERERERERERORa5/N7WXxDNYtvqGbr+1YQH0hx+mA3\np1u6aG3ppr8rMa1xY5EFxCILOL34HozrUN53guruFqq7D1LW/zae3F3w5/ZC015L015LPAD7lhl2\nNxheX2HoixQLwLXy5L4neXLfkywI1/NIwy/x8IoHqa+ov5iXQURERERERK5GmWTx6mqjjrtHHmdG\nv5e9YXDn5Mwtz1rI2CBxW07CLctt5cTd3HGuffA46ZaStBHStmTmFnGdyQ+i+Zy8kFomgdeJjzj2\n5R17h44TmOnc7ec6ZyEvhDdRWM+LxQwH7SYI600+mGeyY48RzLPG5NbiJdpz5sq+YCIiIjJpCr3J\nNc0Y00A2+PQ+YNXlnJpsVbJrijGmCfjlgubfsdb2GTP6g+VpzhEGfqfIqRestU9PYaj/CDxEtsJb\nvs8Dj0xzeSIiIiIiIiIiIiIi17VwaYDGTfNo3DQPay29HXFaW7pobenizKFuUglnymNaj5feygZ6\nKxs4sew9+DIxqroPU5WrBBeOd2KAcAo2H7JsPmRxgSOLYG+Dh90NhtY5QMFnFe3xkzy5/+94cv/f\nMSewnAfqH+Djax9hcdniGXktREREREREZIY46TGqq00QYktHL9sS8wNsSbeMeC7ANhRaywu2DYXa\n3DIcgpdtjbOadXPV0/KrqY2sruYtUm3Nl19tzUle0sCaC8RCEAtCNATRkCEazLYl/NlrPDa7mdw2\nuO9x844Zbsu/dvD8yP62+HgFjyPGG2P8MddWcH46snO62VdpFmQGB+LxK70EERERmSSF3uSaZIxZ\nAXwBeD+5n6cv4/Sz4Ef2qTPGlAJPFjR/31r73Rme6n2MrCQ36M+nMoi1ttcY89dk/znI95AxZqG1\ntm2a6xMREREREREREREREcAYQ+W8EirnlbDu7sW4jkvHqf5sCK65i7Mn+rDu1D82yfhK6JxzM51z\nbgYgFD9PdS4AV9V9CH8mhgdYdQZWnXH56CvQUQF7Ggx7GgzNSw0Z38iPhjpTx/nm4b/nm4f/nkrP\nCu5YcD+fueW9NNYoACciIiIiIjJjXAcSvZMMrg0ed0Oy77IuczDAlrCDldcKqrDZchJu6dDxYMhN\nAbYxWHdE5bSh4JqTV1Utd+wtOB6uwnZpA2uDornAWrHgWjRoRp0b2g9CIkiuWtg1Li9oVzRUlwvW\nefLCfBMG8oqNRUG4b7pjjRc0pPhzOH3WwNtX+HUWERGRSVHoTa45xphfB74IhBkOu12TQbTL7AvA\n0rzjAeA3L8E8Hy3Sts9a++o0xvoa8N8Ab16bB/gI8D+nMZ6IiIiIiIiIiIiIiIzB4/Uwf3kF85dX\ncOtDy0jFM5w53E1rSzetLV30nItNa9xEuJa28B20LbwDrEtZf2suBNdCRe8JPDbD3F54cI/lwT2W\neAD2LTPsbjDsbTD0l4z8QlqPe4znzxzj+TNPEnYauKXmHj6+9mHuWLYMj+c6+PKaiIiIiIjIRKwd\nDq8VVlcbL8SW6OVKfFUvbQO5qmuDldeGA2xJW3CsANsIxjrDQbS8ymnevBDbUHAt7zj/fDawdnnE\ngoXBNTMUShsRXAsNXjccXIsHwOp9/8SMwc29TM7lm/SyzQQQO+qB5y/rlCIiIjJNCr3JNcUY8yXg\ntykedjNFjgsVe8c9mZ+mr+lQnTHmNuA3Cpr/xFrbOsPzBIB7i5yaVjU5a22HMebfgbsLTj2IQm8i\nIiIiIiIiIiIiIpdUIOxj2U1zWHbTHAD6uxK0tnRxuqWL1oPdJAbSUx/UeOgvr6O/vI5TdQ/gcZJU\n9hyluruF6u6DRKLthFOw+ZBl8yGLCxxZBHsaPOxpNLTWAnl3ZY97j7Kj5yjb//0f8by4gpWld/JI\n4wM0rVnB3LLQzLwQIiIiIiIiV4q1kIoWD6rlQmyrjx/AnxmA41/IC7H1gL18cZd8YwXYEm4ZCVs+\n8jhXpe16DbAZ18mrnlYYTJu4upovE8fjpi5r3CgWyA+kQSwXUhsOro0RYgtmt6sxtFbmL6PEX4Ix\nBmuzXyW1WLL/z/0vvx2w1g7v584P9hlqy2/PGTwu7J8/V+H4IiIiIrOZQm9yzTDG/DnwO7nDYj+t\nTxR4K2y3BY/j9b363knNEGNMEPhHshXSBu0GvnwJptsMlBRp/+lFjPlTRofe7jDG+K210/g0XURE\nREREREREREREpqOsOsSa2xey5vaFWNdy/vQArS1dtLZ00X60FyfjTnlM1xukq+ZGumpuBCCQ7KG6\n+xBV3Qep7j5IMNXHqjOw6ozLx16BjgrY02DY02BoXmrI+LIf8RhjseGjHHKO8sWW/5e/3N3AHM8W\n7lt6H++6oZ6NdVUEfJ7xliIiIiIiInJpuU42jBbvgtiFXIAtbz92IS/Ylhdyc8f/itSCwZ2umV/y\ncIBtOKA2uD8cYCsbEXLLXE8BNuviT0fxpweyj5loXmW1kSE2b5Fqax43fdm/uBgP5AfSciG1vMpr\nA+HhymqF5+NBcK/C0BpAwBOgIlhBRbCC8kA55cFyKgIVEz6WBkrxea7ur2KPCMhZOxyOGyNgNxjQ\nGzpXJKA3OFax/oXzjtleGNAbI7g3aq1F+o+11qExC9b6xmtv8DiPz8wLLCIiIpfU1f2TlsgkGWPu\nAf6UsSu7Db5T6gXagE7groLzFjgOnAZKgercVpE3ph1jjj1AtGBZqWk/oavLnwCr844d4HPWXpJb\n+dxapC1D9vWdrteKtIWAG4E3LmJcERERERERERERERGZJuMxzFlaxpylZWx4oI5MyqH9aG82BHew\ni/OtA9MaNxWs5Oz8zZydvxmAyMAZqnMBuMqeo8ztTfHgHsuDeyzxALy5LBuA29tg6C/JfZxkLN7S\nI3RxhO92fJNnT9STiG3hHfPu5N6VS3jnyrksrSl2Dz8REREREZFJctLDobTYhbHDa/nn4j0Uvxf8\n5ZENsJUVr8Jmi1Rlc8uv7wBbXpAtUNiWHsCfHsCXSWAu859pws+oSmojKq+FDAO5AFu04HwsdPWG\n1gA8xkNZoCwbSguUjwiw5R/nh9sGH0O+a7fauzEGM/gV2qv3j++yilXHrvQSREREZJIUepNZzxjj\nAf6W4QDa4OPgfgb4CvC0tfYXef2K3S70f1tr/1fB+EuA24H7gI+SrURWGHyrBH4zf/xrgTFmHfCH\nBc1fsta+fommXF+k7Zi1NnERY+4bo/0mFHoTEREREREREREREbkq+AJelqypZsmaagBifSlOH+qi\ntaWb0y1dDHQnpzVutHQR0dJFtC65D+Omqeg9kQvBtVDW38qWQ5YthywucHgR7G3wsKfR0FoLGIPr\nsaTKTuApO8Eb7rc4tWcef/3SZsqDd/HOxoW8c9UctiyvoSSgj11FRERERK5bmWRBQK1wvzDY1g3J\n3iu7ZBsYFVAbDrAVqcp23QbYhgNq/kz2uHiALVuh7XIE2BJ+ilZSi4VGhtSGg2vD52NBcLxXf+op\n7AtPGFIrFmQr9ZfiMarSLiIiInIt0acvci34GHADIwNvg+/MTgCPWmvfmu7g1tpW4FvAt4wx/xn4\nNeCPyFaDG3yX2gD83BjzcWvtv0x3rquJMcYLPAX485pPAn92CaddUaTt6MUMaK09a4yJApGCU8sv\nZlwREREREREREREREbl0SsoDrLx1PitvnY+1lp5zsWwVuJZuzhzqJp10pjym9fjpqVpJT9VKjvMI\nvvQAVd2HhyrB3XDmAjeccfnYK3CuEvauMOxuNDQvNTheQ8Zj6Sw7C2XPEnX/lQOtFew/sJbfi93L\njfV1vHPlHO5aOYdV88ow5ur/EqGIiIiIiBSRio1RdS13HO/iptNH8Kf74c109trU9CpVzxTH+nJV\n1iqI5wJqcbdsKLw2qirb9R5gywwH1QLpAXwjgmzRXAW2Sx9gGwhBXwn0haG/xGT3S0aG1LLBNZMN\ns82i0BqAz/iGgmnlwfJs9bWCx4pgBScOniDiiXDP1nuG2v1e/8QTiIiIiMh1QaE3uRb8Wt5+/jvN\nt4G7c6G1GWGt7Qa+YIz5NvA0sDlvziDwjDHmo9ba78zUnFfQfwBuLWj7DWtt9BLOWV+k7cwMjNsG\nNE5irhlljNl6kUOsnZGFiIiIiIiIiIiIiIjMYsYYquZHqJofYf09S3Acl3Mn+rIhuOYuOk72Yafx\nXcSMv5TOuRvonLsBgHC8k+qug1R1t1Ddc5gH98R5cI8lFoA3lxv2rjDsbTD0lxgSHsOhsj4o20Gp\ns42yqI/D21bw4x9upb10LbetzFaBu6OhlsqSwAy/IiIiIiIiMiFrs2G0vLBa8aprXSPPZ+ITDl1z\niZedtmHibnkuwJYNssXtYJht+DHuVpBwy0jZwnuBX8PyA2yZvCpseYG1KxFgcwz050JrfSWG/jBD\nIba+wUBbeHh/IDx7wmul/tJxq6uNqsiWC7WV+EomdUOYl069BMDySt3DXkREROT/Z+/OY+RME/u+\nf5+6j767SQ6H5MzsDOee2ZW0szu7s7o8K0try5ISH/AJwY4CO3Zs2QoUOHGAQPKF2FBkRBAUR0Ii\nxVAMKXYMWNBGspyl1pKt1Uo72pVWS3LnniGHZ7PvuqveJ39UdXV1dzXZJPvm9wMU6q3nrXre5y02\niWZV/eqnzQy96VALIZwEXmFzy1sE/upOBt4GxRjfDCF8C/BLwGdYC76lgZ8LIbweY/yD3Tj2Xggh\nPA78/Q3Dvxhj/JVdPvSxIWPXd2Dea2wOvQ071k77rT04hiRJkiRJkiRJD5R0OsXDZyd4+OwEL3/P\n4zSqLT74+kKvCW6OxZt3/pDqMLXiMT44dYwPTn0LxISx5feYmrvA1PxFXv76O3zyYkICvH4KXnsy\nxWtnA5dnYCWd4j+NJTD2BuOdi/yRSoNTb5zgta98hJ+KHyZ/6kW+7enjfOtTx/jI6QnSqcPxwUZJ\nkiTpwIgR6oubW9f64bUhjWzVW5C09nvlJDHVa1kbox43htZWQ22jvQBbdyzhAWm5Wg2wtQda2DYE\n1rLrWtj2JsAG0MwMhNaK3aDa8mCAbXW7F26rFiAe4MbvbCq7LpC2en2nANtobpRMyo8ZS5Ikaf+E\neC9feygdECGE7wd+jrXQ2Wrg7bMxxu+9w2OTIY/7oRjjT9zF8YvA54BPbJjrNeDj8ZD+BQshfA54\ndWBoAXg2xnjtNo8Zdq4/GmP8kW0eswQMa5H74Rjj/7ydOW4z9y8D371h+HdijC/fz7zbOO6O//n/\nxE/8BM8///yOzlmpdJ/2cnlvvvVpr493UI690UFay+0clnVu11E7n/vhc7H3fM6133b7Z3Avf8b9\nfWLNQVvPVg7LOrfrqJ3PvfJ52B8+79pPe/Hz5+8Ue+8greVODtNa7+Qoncv98rnYH0f9eW9WoHIN\nKtehegM6zfufM92uM7HwBlPzF5mav0Cpep0AXJ+A184GXjsbOP9IWPdN/VOdDt9ZqfKJFViqPsNv\nJS/y5dQLTE2f4PnpFC9Mp5ksHNwPRe6Wo/QaxX4cb7+Pu5WDtp6tHJZ1btdRO5975fOwP3zetd+O\n0u8UD9xrFLFDpl0h11om01om114i21om21oiVufItZcpUe+O9fZlWsukSPZujbfRjrmBwFq3bW1z\nkG2tia0Ry0Bqv5e9+2JCtl0dCK1tvN7cwpZpV/ckwAZQyTPQvrYWXFseCK4NjjeywAELsQUCxVSR\nUqpEMRQpp8sUQ/f2nS7ZkN1W69p+8HcK7Yevfe1r/OAP/uDG4VdijF/Yj/VIkqSt+RUMOuw+usX4\nz+zFwWOMtRDCXwa+yvq/T98EfD/wf+7FOnZSCOEHWB94A/i7twu87ZCRLcZXdmDuYWE6/5csSZIk\nSZIkSdIRlCtD7gmYfAJiAvWFbgCuch1qs92xu9XJFLg18yK3Zl4EIN+YZ3LuIlPzF/mO37/IH//S\nCtUc/P7j3QDcl58IzJXS/MLYKL8wBsfb7/GdlQv8eOXnKM9N8VuzL/BryQu8X3yeR4+N8+J0irOT\nKbK2wEmSJOkQCUmbTHuFbGuZXGuJTHt53fZgsC3TH6/sWdDpTmIMNGKp17Y2rIVtrNfA1m1iq8Ux\n2rGw38vefZsCbMNb2HKtFTKtCrk9DrAlYS3A1r3e0L42ZHzwC0oOgkCgnCozkhphND3KaHq0v71V\ncK0QCqTCAxCglCRJkgYYetNhN6zyqgp89h7nu+v/3cYYXw8h/CTwQ6xve/vbHLLQWwjhJPBjG4b/\nE3sTIsxuMd7egblbQ8ZyOzDvnnvppZf45Cc/uaNznjt3DoBXX92Yddwde328g3LsjQ7SWm7nsKxz\nu47a+dwPn4u953Ou/bbbP4N7+TPu7xNrDtp6tnJY1rldR+187pXPw/7wedd+2oufP3+n2HsHaS13\ncpjWeidH6Vzul8/F/niQn/dWo8OVNxe4dGGOyxfmuPXBsO/Nu7NGfpJrJz/JtZPd1+xHVi4zNXeR\np65f4OOvv0WILV4/Ba+dTfHa2cDlmTQ/Pz7Gz4+PcarV5jsrX+JvV/4DTzfafPXKh/ityy/wC+HD\n5D70Cq88c4pve+oYj80cze/vO0qvUezH8fb7uFs5aOvZymFZ53YdtfO5Vz4P+8PnXfvtKP1OcWBe\no+i0oDoH1VvrL7W53vhcb/vW2u3G4p6v+XY6MdMLqG1uXKvH4aG2SHq/l727tgywDb/e6wAbQCvN\nWmitGFgubW5eWyqFftBtpQDxAH5hSCFdYLo4zVRhiunCNFPFKaYKU5tuTxemmchPkE4d8Z+9bfJ3\nCu2HYrG430uQJEnbZOhNh90Z1gfNIvAHMd7Ld3QCWwev7uRn6Ibe6K0hAB8JITwXYzx/j3Puh58E\nJgZuN4G/GmPci1cxtvpffGcH5h42x178+/fKfT7+BeCnd2IhkiRJkiRJkiQJsvk0jz4/zaPPTwNQ\nWWxw+eI8ly7McenCHNXF5j3NuzJympWR07z/yHeQSlqML77F1NxFvvdLF/kLn7/MjYnIa2e7LXDn\nH0nzsxNj/OzEGI+0Wnxm5RafqfwKf6P1S9Tfy/K77zzNL3z2Bd4cfYmHn/443/r0Q3zyiWnKed/a\nlSRJ0jYlvcrjjQG21Uule/3Ra++QbS3BF2sHLsAWI7Riod+2VkvG+sG1TYG2XhNbMx7NL44YlOo0\nyLYq5FrLZJsra9u9JrbcaoCtuUy2XSHb2tsAG0A1Rze4tqFtbXl1e2B8uQS1HBAOXogtEJgsTPaD\na1OFqX6obViQrZQt7feSJUmSpCPHd0Z02B0bMvYH9zHfPbV/xRgvhhDeAM5u2PWdwKEIvYUQ/hTw\nJzcM/5M9DO1t1ei2E/9ODZtjWPvbjooxfuF+Hh8O4Is5kiRJkiRJkiQdJeXxPE+//BBPv/wQMUbm\nrla4fKEbgvvg9Xnazbv/nsUklWV+8hnmJ5/hLSDbXGZy4et8w+WLvPrViyTM8/sfCnzpbOArT2T4\n6clxfnpynCeaTb6rUuUzlYv8d60/hPovMP+VEX7r957jf+JFlk5+M888+2G+7enjPHty1PcRJEmS\nHhQxQmN5oGFtNbw2O7C9oaGtNg/b+M7w8T1Y/qokpmjEkaFta91Q2yj11XBbb1/n3j7Kdahkeu1q\n2dZKN6jWqvSCawPb/fFl0smuf+RpnQRY6TWsLRe3bl8bDLG1Mgf3/yr5dJ7pwvS68NpqmO3qW1cZ\nTY/y6U9+mqnCFBP5CTIpP2IrSZIk7Sd/I9dhN6xj+NY2H9tmc7vY6H2s5beBJ2HdV+N8/D7m2zMh\nhAm6LW+DXgf+0R4uo7HF+E68ejVsjq2OJ0mSJEmSJEmSHkAhBKYfHmH64RE+8ukzdNoJ195e7LXA\nzXPjvSXupSChlRvlxvGXuHH8JQBK1etMzV/kz33hIn/tV1/n7YfqvHY2xZeezPJT0+P81OQEzzRW\nA3AVvrv9O3w3vwM3/ncuXTvGf/zcC/x8/hvIPvHtfPT5p/iWszNMlo/+h4ElSZKOjFZtXUDtxI3f\n6LatnfvChka2gSDbHgedtqMds72AWjew1m1cGwyzbQiyxREgtd/L3lUhaQ+0ra2QbQ5sDxnPtCuk\nthFO3EntFLcNrW0Mt60UIUkd3BBbIDCRn+iG14q99rUtWtmmi9MUM8Utv0Dk3LVzADw1+dRenoIk\nSZKk2zD0psNuY2gNYHGbj20AGzvFp+9jLdc23A7A0/cx3176ceChDWP/VYxxL4Nhy1uM308Q8XZz\nLO3AvJIkSZIkSZIk6YhKZ1KcemqSU09N8onvg3qlxeWL81y6OMflC3Mszdbvad5q6QTV0gk+OPVt\nhNhhbOldXnnnIn/i9y5QTb3H751N+L2zGX7ykXH+l6kJXqw3+K5Kle+qVDnDTf586tf5851fh9f/\nGecvPsq/Tl7g2tgLMHWWkZNnOfPQcR4/VubxmTITJcNwkiRJu6rT6oXTZrcOrG0ca1XXTfH86sZb\ne776vhihFYtUk/F+SK3Wa2Cr9wJt3eDaWqitHYd9V/nRkm7XemG1Srd5rTmwPSTElu7U2et4WCsN\niwMhtsXy5hDbUjGw3Nuu5oED3hq92sa2GmRbDa1tDLZNF6dtY5MkSZKOOH/b12G3AoxvGNvu/8qX\n2Rx6O3Efa7k5sB1763j4PubbEyGETwN/ZcPwz8UYf30v1xFjbIYQVoCRDbsmdmD6YXNstxFQkiRJ\nkiRJkiSJQjnL2Y8e5+xHjwOweLPKpQvzXLowxwdfn6dRbd/1nDGkWRx/gsXxJ3jnQ99Nul3jzMLr\nfOQ3LlKsXOTrJ2/y2tks//yJCX5sepJvrNf5zEqV76xWmekkPJd6j+dS70H1s1AFLsONOME78SF+\nLTnBjezDNMY+RHrmcUYffroXiBvhkakSuczRbtmQJEm6a0kHagtQvcX44nmyrWV47dJtgmxz0Nju\nd3PvrRihGUv9sFr3uhdc699ef52Q3e9l766YkG1VekG15e52c20721ruBdpWyDWXybQrpJO7/x3/\nfnVS3aa1xRIslrtNbItlWCwFlnqBtsVS6AfdaocgxAb029gG29cGb08XprthtuIUpUxpyzY2SZIk\nSQ8WQ2867JbYHHrbeHsrs3TbzWLvdgAev4+1FIaM7URL2a4JIZSAn94wfBP44X1YDnTb8s5uGNvY\nQHcvhs2xsZlPkiRJkiRJkiRp28aPlRg/VuKFbz1FkkRuvLfE5QtzXLowz7W3F0k68c6TbNDJFJmd\n+QizMx8BIF+f4zveuMCf+Z2L3Cp8nS8/kfAvzub5J6cneKnR5DOVCt9RqTGZJP05jocFjocFXk5d\n7L4Ltti7vAU34zjvxhN8JZ5koXia9vhjZI89ydippzlz8gSPHytzbCTvB0wlSdLhFyM0lm7TujZk\nvDYPsft71UdX5zm/b2ewTozQiGXqyXivjW1sU2htrZmtu++oh9hSneb6trXWSi/EtjJ0PNOuErj7\n39F3wkopsFiM/SDbagPbYr+ZLfRuQ6UI8RD8Pp5L5dYF2IZtrzayTRQmyKaO9s+jJEmSpN1h6E2H\n3TzwCKx7RWK7obdLwAu97dVmtidDCNkYY+se1nJ8yNhB/9/6x9gc9Pt5us/Dkzsw/+kQwieGjJ+P\nMS4NGX+HzaG3R+5nASGENMMb9965n3klSZIkSZIkSZJWpVKBhz40zkMfGuelP/4hmvU2V95Y4FIv\nBDd/tXJP8zYKU1w9+SmunvwUxISnly7zic9dhOZFvv7Q2/ybJ3P8T6cnebHV5IVmk+ca3csj7TbD\netyOhUWOhUU+xuvQpPtViDeB8zAbx3g3PsQXUg+xUnqEzsTj5I+fZeL0Mzxy6iQfmilTyKbv41mS\nJEm6D83quoDaiRu/Sba1BOe+sHWQLbmXj//sjRgDjTjSC6ptDq/V+7fXgmzJEf+oX2a1ZW2bIbZ0\n0ty3tdbygaVSYKEUu2G1Mr3mtTBwu7u9XIIkdfBDbADj+fF+UG1TkK0wve52OVv2yzIkSZIk7bqj\n/T9hPQjeBD6yYWxY+Gyrx26UpftlTb99D2v52JCxhXuYZy8Ne+Xhh3qXnfADvctGfwT4/JDxN4A/\numHsqftcw2MMDx++cZ/zSpIkSZIkSZIkDZUrZHjsxRkee3EGgJX5BpcvznVDcBfnqd61rnkAACAA\nSURBVC3dwwd0Q4rl0UdYHn0E+E7KnSbf+7U3GfnCRW6V3uHq+A1+ebrK/3ossHg84YmkxXOrQbhm\nk0dbw4Nwq2bCEjNhiZd4Hap0L1eAr8CtOMr5eIIbmVNURh6FqccpnDjL1JlneeT0KU6OFUgdkg/y\nSpKkA6DdhNqw9rUhY5Xedbu2bornVzfe2vPVDxVjoB5H+gG1tTa2wfDaRH+7nowRObpfKBCSDtnW\nMtlWpRdW6203B7Zby70QWzfslorJnSfeJa1sipVyioUSzBU7LJUHmth6rWxL5bXtduZw/O6bTWU3\nta5NFde2pwvTTBWnuPDaBUZSI/zRT2/82JYkSZIk7S9DbzrsLg5sr7a1vbjNx35li/Hv5i5DbyGE\nE8A3sb5xDmDubuYRXx4ydjqEMBVjvNfn8hu3GN/qz1+SJEmSJEmSJGlHjUzmeeaTJ3nmkyeJMXLr\ngwqXLsxx+cIcH7w+T6e98S2mO0vSOeamnmNu6jkAxoCPzFf45JWbFGs36MQbLOdu8gej1/ns1Cw3\nZuqMl1s8nawF4R67QxBu1XRYZjosQ/ImLNG9vAt8EebjCF/lIW7lT1MbeZTU9OOUHnqKmUef5dEz\nZxjJ+5a0JElHVozQqkJtvhtYq82t367O967noDq7FmxrLO33yu8oiSkacYRqpxdei5vDa2uhtnHq\nyciRDrGl2/UtG9eGjWfataHfxL1XOulAdSTLUjkwX+wwV+iwWB5oYivBYrm7vVSCRm5wtQf7z7GY\nKfZb2Fbb11avZ4oza4G24jQj2ZFttbFdSV/Zg5VLkiRJ0t3zHQYddheHjJ0NIRRijPU7PHZjsG01\nNPf9IYQfjTG272Idf4tum9jqO5Kht/3eXcwh+OIW468Av3yPc35yyNgs8PY9zidJkiRJkiRJknTP\nQgjMnB5h5vQI3/hHH6Hd6nD1rUUuX5jj0vk5bl5auee529kyS9kyS2OP9cfGgOeX4RtnFynWbhKT\n61zJ3OQPSze4MX6DMHWVE6Uqz7abPN9rhLubj/lOhhUmeROab3a/DnIOeAP4TViIZb6WOslC4TSN\nscdITT/BjUqK3MRJ2u0OmczB/kCxJEkPlE5rQ2CtF2DbtD2/PtzWaez3yrcliSnqyehA89ra9WB4\nrd/EFkdhW18PcDhl2lWyzdWw2jLZ5kq/kS3XWiHbXF4XYksnd/Mxqp0XQ6A2kmVlJM1iCeYLbW4V\n2iyWhzexVfNAGGyOO9i/d5YypaEhto1htuniNKVsab+XK0mSJEl7xtCbDrthIakU8GHgd273wBjj\nhRDC+8CZDbtOA/9j73JHIYRvBH6YzS1vAL+xnTnU94fAdeDEhvHv4t5Db981ZOxzMca7/8pUSZIk\nSZIkSZKkHZbJpjnzzBRnnpnik/851FaaXL44z6ULc1z66k1WlnbmA8bN/DjN/DhwFoBRYLQCrCTk\nG/PcbN/g11I3Wc7fIClfozx6mUdGPuD5dp3H7jIIt2oiVJiIb0LtTajRfRcI4D1Y+srf5Gr6YZaK\np2mOf4jMsbOMn3qahx57joljD8M2GikkSdIQSQKNxbWg2pbhtcFmtnloLu/3yu9KElP9trVqMk59\nXZhtILzW267HEY50iK1VWQup9QNry/0mtly/mW2ZbGuFVOzs95JplHNUR7OslFLMlxJmCy1u5Vv9\n8NpgE9tKEWJIgMMTZBvJjqwLrm3VzjZdMMgmSZIkSVsx9KZDLcb4ZgjhCnByw64/zh1Cbz3/D/BD\nrAXWVtve/l4I4VKM8Wdu9+AQwkt0w1i5gccOhql+fRtr2Dcxxs/TXfN9CyEMC5H9aIzxR+5iPTGE\n8MvAD2zY9adDCH8nxrt7xS2E8ALw/JBdv3Q380iSJEmSJEmSJO2V4kiOJ186wZMvnSDGZ1i8UePS\nhTne/+oNPvj6PK32DofBQopGYRqYBp6lBFDvXi5f73CtNUuHGySZ6+QKV5kuXebJwvs8y3UyQ98e\n2p6xUGUseRMqb0Ll83AF+P3uvmWK3MicYrl0hs7Eh8gdf5KJ009z/LFnyY+fNBAnSXowxAit6hbN\na/NbhNfmoL4AMbnz/AdMJ2Y2NLGNUUsmNoXXVvc34uh+L3lXZVaDas1eE1trpR9gWw2zrY53Q2z7\n/2feLmapj+ZZGcmwVIS5Ypub+SazxXY/vLYaZFsuQiedABubAg92kG00O8p0cZp0I81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      "text/plain": [
       "<matplotlib.figure.Figure at 0x115951b10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_apparent_resistivities_and_phases(frequency, sigma_list, layer_thicknesses, app_res_list, phase_list)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What happens if we add noise??"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5fe0b3a4797d4f0e967b03919fbfc44a"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.<lambda>>"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ipywidgets.interact(\n",
    "    lambda app_res_uncert, phase_uncert: plot_apparent_resistivities_and_phases(\n",
    "        frequency, sigma_list, layer_thicknesses, \n",
    "        app_res_list, phase_list, app_res_uncert, phase_uncert\n",
    "    ),\n",
    "    app_res_uncert = ipywidgets.FloatSlider(\n",
    "        min=0., max=20., step=1, value=0., description=\"$\\delta \\\\rho_a (\\%)$\"\n",
    "    ),\n",
    "    phase_uncert = ipywidgets.FloatSlider(\n",
    "        min=0., max=10., step=0.5, value=0., description=\"$\\delta \\phi (^\\circ)$\" \n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "When setting expectations for what we can hope to get out of an inversion, it is important to keep non-uniquness in mind... Without additional information (eg. additional geophysical data, well logs, etc) that constrain the physical properties and geometries of our geologic setting, we cannot necessarily expect to nail down both the conductivity and geometry of a given geologic unit. "
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}