notebook_adv_diff_adjoint_1DArb-PostNuma.ipynb

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   "source": [
    "# 1D Arbitrary adjoint problem Notebook\n",
    "\n",
    "In this notebook, we implement the adjoint idea in a very basic, unelegant manner. But this is the only way to go before we find out more about nutils' inner mechanisms.\n",
    "Here, we one extra domain for every local adjoint problem to be solved. A union of these domains is supposed to form the total domain. Using a separate domain for each problem allows us to utilize nutils's boundary and interface topology functionality.\n",
    "\n",
    "We are, however, one step ahead of the SimpleAdjoint version: Instead of being restricted to piecewise linears and a two-element domain, we allow for arbitrary polynomial degrees and element numbers (for 1D).\n",
    "\n",
    "## UPDATE: Adjoint problem now solved as a primal problem with negative velocity\n",
    "\n",
    "We used the code structure from the arbitrary 1D notebook, but coupled it with the original Hughes adv diff code, considering the new test functions the unknown and flipping the sign of the velocity vector."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Import statements"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from nutils import *\n",
    "# Import function that helps with the setup of the rectilinear domains\n",
    "from utils.Meshing.meshingM import feSupport1DRectilinear as support\n",
    "from utils.Meshing.meshingM import feNrNodes1DRectilinear as nr_nodes_func\n",
    "from utils.Meshing.meshingM import feSlicer1DRectilinear  as slicer\n",
    "import numpy, unittest\n",
    "from copy import deepcopy\n",
    "\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import collections"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Setting problem specific parameters\n",
    "\n",
    "In this notebook, we extend the adjoint implementation to 1D cases of arbitrary dimension and arbitrary element numbers. This requires a more abstract version of the topology setup. The most important variabes here are\n",
    "\n",
    "1. primalNelems\n",
    "2. adjointNelems\n",
    "3. primalDegree\n",
    "4. adjointDegree\n",
    "5. primalDG\n",
    "6. adjointDG\n",
    "\n",
    "**primalNelems**\n",
    ">> Number of elements of primal problem topology\n",
    "\n",
    "**adjointNelems**\n",
    ">> Gives degree of refinement of primal topology elements. adjointNelems = 1, means that the primal topology elements are also exacly the adjoint problem elements. A value of two, for instance, would split every primal topology element into two elements for the adjoint problem.\n",
    "\n",
    "**primalDegree**\n",
    ">> Polynomial degree of intrpolation polynomial for primal trial function.\n",
    "\n",
    "**adjointDegree**\n",
    ">> Adjoint degree of interpolation polynomial for the enrichment basis function.\n",
    "\n",
    "**primalDG**\n",
    ">> A boolean indicating whether DG discretization is used for the primal formulation\n",
    "\n",
    "**adjointDG**\n",
    ">> A boolean indicating whether DG discretization is used for the enrichment basis functions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6.25\n"
     ]
    }
   ],
   "source": [
    "primalNelems = 2        # number of elements of complete primal domain\n",
    "adjointNelems = 2       # number of elements of local adjoint domain\n",
    "primalDegree = 1        # \n",
    "adjointDegree = 1       #\n",
    "primalDG     = False\n",
    "if primalDG:\n",
    "    primalType = 'discont'\n",
    "else:\n",
    "    primalType = 'lagrange'\n",
    "adjointDG    = True\n",
    "if adjointDG:\n",
    "    adjointType = 'discont'\n",
    "else:\n",
    "    adjointType = 'lagrange'\n",
    "nr_nodes = nr_nodes_func(primalNelems, primalDegree, primalType)\n",
    "ndims = 1\n",
    "lbound = 0              # lower bound of complete primal domain\n",
    "rbound = 1              # right bound of complete primal domain\n",
    "primalspan = (rbound - lbound) / (primalNelems)\n",
    "span = (rbound - lbound) / (primalNelems * 2 ** adjointNelems) #\n",
    "vel = 50               # convective velocity\n",
    "v =  -vel\n",
    "k = 1                   # diffusivity\n",
    "meshPeclet = vel * span / k\n",
    "print(meshPeclet)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Create namespace\n",
    "\n",
    "Put the necessary variables and parameters in a nutils Namespace for easier access"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# prepare residual\n",
    "ns = function.Namespace()\n",
    "ns.pi = numpy.pi\n",
    "ns.k = k\n",
    "ns.v = v\n",
    "ns.vel = vel\n",
    "ns.h = span\n",
    "ns.lbound = lbound\n",
    "ns.rbound = rbound"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Stabilization and method choice variables\n",
    "\n",
    "In this section, the user can adjust some stabilization parameters\n",
    "\n",
    "> beta and gamma: Setting beta and gamma in different manners corresponds to different methods. beta = 1 and gamma = 0 corresponds to the DG method of Oden, Babuska and Baumann, which is stable for polynomials of degree two and higher. Setting gamma > 0 stabilizes the formulation for linear polynomials and corresponds to the interior penalty collocation method. If you encounter instabilities, study the behaviour for high and zero gammas.\n",
    "\n",
    "> C determines the strength of the upwinding of the advective DG fluxes. For conservative upwinding, pick C = v (according to Brezzi it is C = v/2, but the 0.5 factor is already included in our implementation.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Tuning parameters\n",
    "ns.beta = 1             # beta = 1 creates skew-symmetric bilinear form (more stable in this case)\n",
    "ns.gamma = 100          # DG stabilization (especially for linear degree)\n",
    "ns.C = ' v '          # Advection Upwinding coefficient \n",
    "#ns.lstab = ' 1 / vel '          # The lower stab is chosen, the better the more strongly the weak BCs are imposed\n",
    "#ns.rstab = ' 1 / vel '          # The lower stab is chosen, the better the more strongly the weak BCs are imposed\n",
    "ns.lstab = 1          # The lower stab is chosen, the better the more strongly the weak BCs are imposed\n",
    "ns.rstab = 1          # The lower stab is chosen, the better the more strongly the weak BCs are imposed\n",
    "ns.stab = 0          #  Deactivate penalizarion of deviations between primal basis function and BCs\n",
    "\n",
    "# DG Stabilization parameters (all the same for an equidistant mesh)\n",
    "ns.tauZero = ' gamma k / h'\n",
    "ns.tauN    = ' gamma k / h'\n",
    "ns.tauA    = ' gamma k / h'\n",
    "\n",
    "# SUPG stabilization parameter\n",
    "if(numpy.exp(v/k) == float('inf')):\n",
    "    ns.tau = ' h / (2 vel)'\n",
    "else:\n",
    "    ns.peclet = ' 0.5 vel h / k'\n",
    "    ns.tau = ' ((cosh(peclet) / sinh(peclet)) - (1 / peclet)) h / (2 vel) ' "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Boundary conditions and analytical solution\n",
    "\n",
    "In this section, boundary conditions for the various problems are set. Furthermore, the analytical solution to the primal problem is defined here, in order to enable an evaluation of the success of the method later on.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Source term for primal problem and BCs for both problems\n",
    "ns.f = 0\n",
    "ns.gl = 0\n",
    "ns.gr = 0\n",
    "\n",
    "## Analytical solution of primal problem\n",
    "## Catch potential overflow exceptions\n",
    "#if(numpy.exp(v/k) == float('inf')):\n",
    "#    # exp(v/k) -> infinity (triggers overflow exception)\n",
    "#    # Find expression for ns.g\n",
    "#    pass\n",
    "#else:\n",
    "#    ns.analytical = '( (gr - gl) / (exp(v / k) - 1) ) (exp( (v / k) x_0) - 1) + gl'"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Solution of the adjoint problems\n",
    "\n",
    "In this section, we actually solve the local adjoint problems. For each node of our primal domain we solve an affiliated adjoint problem.\n",
    "\n",
    "At first, we take a look at the **primal problem** to be solved and the adjoint problems connected with that. We would like to solve the following primal BVP (an advection-diffusion-equation with a zero RHS):\n",
    ">> a u,x - ĸ u,xx = 0 on \\[ 0, 1\\]<br>\n",
    ">> u(0) = 1 <br>\n",
    ">> u(1) = 0 <br>\n",
    "\n",
    "The **associated weak form BVP** for the polynomial trial space V and the polynomial test space W is (V and W are both subspaces of the infinite-dimensional Hilbert Space U). \n",
    "> Find u in V such that: \n",
    ">> a(u, w) + b(u, w) = l(w) for all w in W\n",
    "\n",
    "Here, a is a positive definite and symmetric, b is a skew symmetric bilinear form, and l is a linear form on U.\n",
    "Given a basis {φ} ... (will complete this part later) **Adjoint problems**\n",
    "> Find φi, i = 1,2, ..., n such that\n",
    ">> a(u', ψi) + b(u', ψi) + b(u', φi) for all u' in V' \n",
    "\n",
    "**IMPORTANT NOTE: We assume the support of the perturbations to match with the support of the corresponding primal basis functions.**\n",
    "\n",
    "### Arbibtrary node adjoint problem\n",
    "We start with the adjoint problem corresponding to the leftmost node. Here we solve the system \n",
    "> a(ψi, uExti) + b(ψi, uExti) + b(ψi, φi).\n",
    "\n",
    "Here, pert1 is the actual stabilizing perturbation to be solved for. It is defined as the inner product of ψ1 and the corresponding coefficient vector lhsExt1, i.e.\n",
    "> uExti = <ψi, lhsExti>. There are some subtleties in here, though.\n",
    "\n",
    "All we have to do is insert the correct variables into the advective and diffusive parts of our well-known formulation (check, e.g. the notebook_adv_diff_Hughes).\n",
    "\n",
    "**NOTE: We will have to figure out how to add SUPG stabilization. In order to do this, we have to find the strong form corresponding to the weak adjoint problem**"
   ]
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Unlike before, we allow for arbitrary numbers of (equidistant) elements and arbitrary polynomial degrees. Hence, a more flexible structure than before is of need. We will sketch the procedure below:\n",
    "\n",
    "## General procedure:\n",
    "\n",
    "Loop over all primal basis functions (we loop over their indices (requires knowledge of the total amount of basis functions (simple function can do that)).\n",
    "> 1. Create domain and bases (primal as well as adjoint)\n",
    "> > Use the same names here for each iteration to reduce memory pressure (activates garbage control on each iteration).\n",
    "> 2. Solve local adjoint problem\n",
    "> 3. Save inner product of adjoint basis and solution coefficient vector in perturbation vector for later use (each entry of this vector represents the perturbation of the respective primal basis function.\n",
    "\n",
    "Proceed in this fashiion for every index of the loop. Once this is done, we can build the optimal basis in order to solve the primal problem.\n",
    "\n",
    "**PLEASE NOTE that this is just prototype code for small numbers of elements. Hence, performance is not of utmost importance. The approach taken above offers lots of potential for optimizations (element based outer loop instead of basis function based loop, e.g., would help to reuse topos, geoms, and bases). This simplistic approach, however, is coded faster and, on top of that, less prone to errors, as it is extremely explicit. Once performance becomes an issue, profiling and optimization will be conducted. **\n",
    "\n",
    "**Keep in mind GENERATOR functions (yield) as means of designing efficient generalized functions to be built into nutils.**"
   ]
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  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
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     "name": "stdout",
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     "text": [
      "0 0.5 1 0\n",
      "Number of refinement steps: 1\n",
      "PBS is primalBasis_0\n",
      "PBS is primalBasis_0,0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/rene/Box Sync/nutils/nutils/warnings.py:30: NutilsWarning: using explicit inflation; this is usually a bug.\n",
      "  warnings.warn(message, category, stacklevel=stacklevel)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "solve > solver returned with residual 3e-13\n",
      "(4,)\n",
      "0.0 1.0 2 1\n",
      "Number of refinement steps: 1\n",
      "PBS is primalBasis_1\n",
      "PBS is primalBasis_1,0\n",
      "solve > solver returned with residual 4e-13\n",
      "(8,)\n",
      "0.5 1.0 1 1\n",
      "Number of refinement steps: 1\n",
      "PBS is primalBasis_1\n",
      "PBS is primalBasis_1,0\n",
      "solve > solver returned with residual 3e-13\n",
      "(4,)\n"
     ]
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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10ce51da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10cebb4e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10cfdc7b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10d0d9438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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1fX+t/sjcDQAAAADgoRZ9VK79NU26c1SGIoIDTMfxG5RJOKV7xmWpd0Kk/sDcDQAAAADggZpa7Vq4ukhxEUG66eJU03H8CmUSTom5GwAAAADAk72ysUwHapt156gMhQVxldSZKJPwtQYmRetHozK0fX+tnlnN3A0AAAAA4BkaWtr0xzVFSogK1veGcpXU2SiTcFo/Hpd5cu62Yz9zNwAAAACAeS9/sFeH6lo0fUymQgJtpuP4HcoknFZwgE1PXZcrp9rnbi1tzN0AAAAAAObUNbfp2bXFSowO0fWDk03H8UuUSfhGA3pGa/roDO2orNXC1UWm4wAAAAAA/NhLG0p1pKFVd4/NVHAAV0kmUCbBJXePzVKf7pFauLpI2/fXmI4DAAAAAPBDtU2ten5diZK6hmrqBVwlmUKZBJcEBVj15NRcSdL9/2DuBgAAAADofH9ZX6qaxlbdMzZLQQFUGqbwOw+XDegZrbvGZGrX58e0gLkbAAAAAKAT1TS06oX1JUqNDdO15/c0HcevUSbhjNw9JlN9E6P0zOoifbaPuRsAAAAAoHO8sL5Ex5radO+4LAXYqDNM4ncfZ6R97pYjidfdAAAAAACd43B9i15cv0fp8eG6+jyukkyjTMIZ698jWnePPT53W1VoOg4AAAAAwMc9v65E9S123Tc+WzarxXQcv0eZhLMyfUym+iVGaeGaYuZuAAAAAIAOc6iuWS9tKFV2QoSuHJhoOg5EmYSzFGhrf93NovbX3Zrb7KYjAQAAAAB80LNritXYateM8dmycpXkESiTcNb69YjSj8dmafeBY/rDSl53AwAAAAC418HaJr384V71TYzSpP7dTcfBcZRJOCd3jclQ/x5R+uPaYuVXHDUdBwAAAADgQ55ZU6zmNodmTuAqyZNQJuGcnJi7WS3tr7sxdwMAAAAAuENlTaNe3VimnKRoje/bzXQcfAFlEs5Z38T2uVvBgTo9vZLX3QAAAAAA527h6iK12B2aMSFbFgtXSZ6EMglu8aPRGRrQM0rPri1h7gYAAAAAOCcVRxq06KNyDUrpotHZ8abj4H9QJsEtmLsBAAAAANxlwaoitdqdmslVkkeiTILb9OkepXvHtc/d5ucxdwMAAAAAnLm91fVa/HGFhqTFaHhmnOk4OAXKJLjVnaMyNLBntJ5dW6yt5czdAAAAAABn5umVRbI7nHxXkgejTIJbBRyfuwVYrbp/8VY1tTJ3AwAAAAC4priqTq9vqdCwjFhdnBFrOg6+BmUS3K5390jdOz5LRQfrNI+5GwAAAADARU+vLJTDKc2YkG06Ck6DMgkd4o6R6cpJitbz64q1peyI6TgAAAAAAA9XeOCY3ty6XyOy4jQ4LcZ0HJwGZRI6xBfnbg8wdwMAAAAAfIN5eYVyOqWZXCV5PMokdJjshEjdNyFLxVX1mptXYDoOAAAAAMBD7ays1dvbKjW2TzcNSulqOg6+AWUSOtS0EenKTe6iP60r0SfM3QAAAAAApzB3RfsBAldJ3oEyCR0qwGbVk1NyFGC1ahZzNwAAAADA/9hWUaN3dxzQxH4JGtAz2nQcuIAyCR0uKyFSMyZkt8/dVjB3AwAAAAD817zjX4vCC27egzIJneL2Eb2Um9xFz79Xoo/3MncDAAAAAEhbyo5o5a6DumJgovomRpmOAxdRJqFTBNisempqjgJtzN0AAAAAAO3m5hXKYpHuHZ9lOgrOAGUSOk1mt0jNnJCtkkP1eurd3abjAAAAAAAM2lx6WOsKqnRVbg9lJ0SajoMzQJmETnX7iHQNSumiF9bv0cd7D5uOAwAAAAAwZM6KAlkt0j3juEryNpRJ6FQ2q0Wzp+Qen7vlM3cDAAAAAD/0QXG1NhRX65pBScqIjzAdB2eIMgmdLrNbhB6Y2D53e3I5czcAAAAA8CdOp1NzVxTIZrXonnGZpuPgLFAmwYgfDE/X+Sld9Of392hzKXM3AAAAAPAX7xdVa1PpYU29IEmpseGm4+AsUCbBCJvVotlTcxVks2rWknw1tjB3AwAAAABf53Q69dSK3Qq0WTR9DFdJ3ooyCcZkxEfogYm9tedQvWYzdwMAAAAAn7emoEpbyo7quguTlRwTZjoOzhJlEoy6bXgvXZDaVX/ZsEeb9jB3AwAAAABfdeK7koJsVt09lqskb0aZBKPaX3fLUZDNqgeXbGXuBgAAAAA+Km/nQeVX1Oi7F6UoMTrUdBycA8okGJceH6FZk3qrtLpBTyzfZToOAAAAAMDNHA6n5qwoUHCAVXeNzjAdB+eIMgke4dZLeunC1K7664ZS5m4AAAAA4GOWb/9cOytrddPQVHWLCjEdB+eIMgke4cTrbsEBVs1aslUNLW2mIwEAAAAA3MDhcGpuXoFCA226k6skn0CZBI/RKy5csyb10d7qBj3xH153AwAAAABf8Na2ShUcqNPNw9IUFxFsOg7cgDIJHuXWYWkanNY+d/uwpNp0HAAAAADAObA7nJqXV6DwIJumjUw3HQduQpkEj2K1WjR7Sq5CAq16cEk+czcAAAAA8GJvbt2nkqp63Ta8l2LCg0zHgZtQJsHjpMWF68FJfVR2uEG/f4fX3QAAAADAG7XZHZqfV6jIkAD9cDhXSb6EMgke6ZZhaRqSFqOXPtirD4qZuwEAAACAt1m2ZZ9Kqxv0w+Hpig4LNB0HbkSZBI9ktVo0e2qOQgNtenDpVtU3M3cDAAAAAG/R0ubQ0ysLFR0aqFuHp5mOAzejTILHSo0N10OX9lb54Ub9/j/M3QAAAADAWyz5uEIVRxo1bWS6okK4SvI1lEnwaN+/OE0X9YrR3z7Yqw1Fh0zHAQAAAAB8g+Y2uxasKlRMeJBuHpZmOg46AGUSPNqJ193a5275zN0AAAAAwMMt+qhc+2uadMfIdEUEB5iOgw5AmQSPlxIbpp9c1kcVRxr12Ds7TccBAAAAAHyNpla7Fq4uUlxEsL5/cZrpOOgglEnwCjcNTdXQ9Bj9/cMy5m4AAAAA4KFe2VimA7XN+tHoDIUG2UzHQQehTIJXsFotemJyrsKCbJq1JF91zN0AAAAAwKM0tLTpj2uKlBAVrBsvSjEdBx2IMgleIyU2TA9f1kf7jjbqsX8zdwMAAAAAT/L3D/fqUF2Lpo/JVEggV0m+jDIJXuXGi1J1cXqsXtlYpvWFzN0AAAAAwBPUNbfp2bUl6hEdousHJ5uOgw5GmQSvYrVa9MSUHIUF2fTQ0nwda2o1HQkAAAAA/N5LG0p1uL5Fd4/NUnAAV0m+jjIJXic5JkwPX95X+4426nf/3mU6DgAAAAD4tdqmVj2/rkRJXUM15YIk03HQCSiT4JVuHJKiYRmxem1Tmd4rrDIdBwAAAAD81l/Wl6qmsVX3jMtSUAA1gz/gnzK8ktVq0e8n5yg8yKaHljB3AwAAAAATahpa9cL6EqXFhunaQT1Nx0EnoUyC1zoxd9tf06Tf8bobAAAAAHS6F9aX6FhTm+4dn6UAGxWDv+CfNLzajRel6JLMWL22qVzrCpi7AQAAAEBnOVLfohfX71F6fLiuyuUqyZ9QJsGrWSxfmLstzVctczcAAAAA6BTPrStRfYtdM8Zny2a1mI6DTkSZBK+X1DVMP7uinyprmvR/bzF3AwAAAICOdqiuWS9tKFV2QoSuGJhoOg46GWUSfMJ3hiRrRFacFm0u15rdB03HAQAAAACf9uyaYjW2tl8lWblK8juUSfAJFotFj0/OUURwgB5eto25GwAAAAB0kIO1TXr5w73qlxilSf27m44DAyiT4DN6dgnVz67oq8qaJj361g7TcQAAAADAJz2zpljNbQ7NmMBVkr+iTIJPuWFw+9ztH5srtJq5GwAAAAC4VWVNo17dWKacpGiN79vNdBwYQpkEn/KludvSbappZO4GAAAAAO6ycHWRWuztV0kWC1dJ/ooyCT6nZ5dQPXJlX31e26TfMncDAAAAALeoONKgRR+Va1BKF43OjjcdBwZRJsEnXXdhskZlx2vJxxVateuA6TgAAAAA4PUWrCpSq92p+yf05irJz1EmwSe1z90GKvL46241DczdAAAAAOBs7a2u1+KPKzQkLUaXZMaajgPDKJPgsxKjQ/XIlf10oLZZv2HuBgAAAABn7emVRbI7nJo5ke9KAmUSfNzUC5M0une8ln7C3A0AAAAAzkZJVZ1e31KhYRmxGprOVRIok+DjLBaLHrt2oCJDAvSTpczdAAAAAOBMzV9ZKIdTmjkh23QUeAjKJPi8E3O3g8ea9et/bTcdBwAAAAC8RuGBY3pz636NzI7XhWkxpuPAQ1AmwS9MvSBJY3rHa9mWfcrbwdwNAAAAAFwxL69QTq6S8D8ok+AX2uduOYoMCdDDr2/T0YYW05EAAAAAwKPtrKzV29sqNa5PN52X3MV0HHgQyiT4je7RIfrlt/qr6lizfv0vXncDAAAAgNOZl1cgSZrBVRL+B2US/Mrk83tqbJ9uen3LPq1g7gYAAAAAp/TZvhot335Ak/onaEDPaNNx4GEok+BXTrzuFhUSoJ8ydwMAAACAU5q7ov0q6b7xXCXhqyiT4HcSov47d/vVm7zuBgAAAABftKXsiFbuOqgrBiaqb2KU6TjwQJRJ8EvXnt9T4/p00z8/3a/l2z83HQcAAAAAPMbcvEJZLNJ947NMR4GHokyCX7JYLPrd8bnbz17/TEfqmbsBAAAAwObSw1pXUKWrcnsoKyHSdBx4KMok+K2EqBD96qr+OlTXrF8ydwMAAAAAzVlRIKtFunccV0n4epRJ8GvXDOqp8X0T9ObW/frPZ8zdAAAAAPivD4qrtaG4WtcMSlJ6fITpOPBglEnwaxaLRb+7ZoCiQwP1839u02HmbgAAAAD8kNPp1NwVBbJZLbpnXKbpOPBwlEnwe92iQvTrq/rrUF0LczcAAAAAfun9omptKj2sqRckKTU23HQceDjKJEDS1ef10IR+CfrX1v36z2eVpuMAAAAAQKdxOp2as2K3Am0W3T2WqyR8M8okQO1zt/+7ZoC6hAXq5//8jLkbAAAAAL+xpqBKn5Qd1fWDk5XUNcx0HHgByiTguG6R/527/eKNz0zHAQAAAIAOd+K7koJsVk0fw1USXEOZBHzBVbk9NLFfgt7Kr9S/tzF3AwAAAODb8nYeVH5Fjb57UYoSo0NNx4GXoEwCvsBisejR43O3R/75marrmk1HAgAAAIAO4XA4NWdFgYIDrLprdIbpOPAilEnA/zgxd6uub9Ev3uB1NwAAAAC+6d0dn2tnZa1uGpqqblEhpuPAi1AmAadwVW4PXdq/u97eVqm385m7AQAAAPAtDodTc1cUKjTQpju5SsIZokwCTsFisei33x6grmGBeuSNz3SIuRsAAAAAH/L2tkrtPnBMNw9LU1xEsOk48DKUScDXiI8M1m+uHqDD9bzuBgAAAMB32B1OzcsrUHiQTdNGppuOAy9EmQScxpU5ibpsQHf9e9vneit/v+k4AAAAAHDO3ty6T8VV9bpteC/FhAeZjgMvRJkEnMaJuVtMeJB+8cZ25m4AAAAAvFqb3aH5eYWKDAnQD4dzlYSzQ5kEfIO4iGD95ur+Olzfokf++ZmcTqfpSAAAAABwVpZt2afS6gb9cHi6osMCTceBl6JMAlxwZU4PXT6wu9757HP9i9fdAAAAAHihVrtDT68sVHRooG4dnmY6DrwYZRLgot9c3T53++Ubn6nqGHM3AAAAAN5l8eYKVRxp1LSR6YoK4SoJZ48yCXBRXESwfnv1AB1paNXP/7mNuRsAAAAAr9HcZteCVYWKCQ/SzcPSTMeBl6NMAs7AFTmJuiInUcu3H9CbW3ndDQAAAIB3WPRRufbXNOmOkemKCA4wHQdejjIJOEO/uaq/YsOD9Ms3t+vgsSbTcQAAAADgtJpa7Vq4ukhxEcH6/sVppuPAB1AmAWcoNiJYj357gI42tOrnr/O6GwAAAADP9urGMh2obdaPRmcoNMhmOg58AGUScBYuG5ioK3MS9e4O5m4AAAAAPFdji13PrClWQlSwbrwoxXQc+AjKJOAs/ebqAYqLCNIv3tiug7XM3QAAAAB4npc/LNWhumZNH5OpkECukuAelEnAWYoJD9Kj3x6gmsZW/ZS5GwAAAAAPU9fcpmfXlqhHdIiuH5xac4HbAAAgAElEQVRsOg58CGUScA4uHZCob+X2UN7OA/rnp/tMxwEAAACAk17aUKrD9S26e2yWggO4SoL7UCYB5+jXV/VXXESQfvXmDuZuAAAAADzCsaZWPb+uREldQzXlgiTTceBjKJOAc9Q+dxt4fO62jbkbAAAAAONeXF+qmsZW3TMuS0EB/NUf7sWfKMANLh3QXVef10N5Ow/q9S3M3QAAAACYU9PQqhfWlyg1NkzXDuppOg58EGUS4Ca/+lZ/xUUE61dvbtcB5m4AAAAADHlhfYmONbXp3nFZCrDx1364H3+qADfpGh6k310zQLVNbfrpMuZuAAAAADrfkfoWvbh+j9Ljw3X1eVwloWNQJgFuNLF/d337vB5aueugln3C3A0AAABA53puXYnqW+y6b3y2bFaL6TjwUZRJgJv96qr+io8M1q//tV2f1zB3AwAAANA5DtU166UNpcpOiNCVAxNNx4EPo0wC3KxLWJB+d81A1Ta16eFl+czdAAAAAHSK59YWq7HVrhnjs2XlKgkdiDIJ6AAT+iXomkE9tXp3lZZ8XGE6DgAAAAAfd7C2SX/7YK/6JUZpUv/upuPAx1EmAR3kl9/qp/jIYP3mrR3M3QAAAAB0qGfWFKu5zaEZE7hKQsejTAI6SJewID12zUAda2rTT5i7AQAAAOgglTWNenVjmXKSojW+bzfTceAH3FomNTQ06Dvf+Y4yMzOVnZ2tZcuWnfJz27Zt08iRI9WnTx8NHDhQ06ZNU3NzszujAB5hfL8EXXt+T63ZXaXFzN0AAAAAdICFq4vUYm+/SrJYuEpCx3NrmfTkk08qODhYRUVFWr58ue666y4dOXLkK58LCQnRggULtGvXLn366aeqqanRU0895c4ogMf45ZX9lRAVrN/+a4cqaxpNxwEAAADgQyqONGjRR+UalNJFo7PjTceBn3BrmbRo0SJNnz5dktSrVy+NHDlSb7zxxlc+l5WVpZycHEmSzWbT4MGDVVJS4s4ogMeIDgvUY9cO1LHmNv1k6TbmbgAAAADcZsGqIrXanbp/Qm+uktBp3FomlZWVKTU19eSv09LSVFZWdtr/Tn19vV544QV961vfOuV/PmfOHCUlJZ38qaurc2dkoFOM7ZOgyecnaW1BlRZvZu4GAAAA4Nztra7X4o8rNDitqy7JjDUdB37kjMqkESNGKC4u7pQ/5eXlkvSlJvSbLjBaW1t1/fXXa+LEibr66qtP+ZmZM2eqoqLi5E9ERMSZRAY8xi++1a997vbWDu0/ytwNAAAAwLl5emWR7A6nZnKVhE52RmXSe++9p0OHDp3yJzk5WSkpKSotLT35+b179yolJeWU/1utra267rrrlJiYqPnz55/T/wnAG0SHBurxa3Pa527LmLsBAAAAOHslVXV6fUuFhmXE6uIMrpLQudw6c5s6daoWLlwoSdqzZ4/Wrl2rq6666iufa2tr0w033KCYmBg9//zzNKjwG2P6dNOUC5K0rqBKiz4qNx0HAAAAgJeav7JQDqc0c0K26SjwQ24tk2bNmqXGxkZlZmZq0qRJWrhwoWJiYiRJv/jFL/Tss89Kav+i7mXLlmnz5s0aNGiQzjvvvJNf3A34ukeu7KfuUSF69O2d2sfcDQAAAMAZKjxwTG9u3a+R2fG6MC3GdBz4IYvTy7Y2SUlJqqjgC4zh3VbvPqhb//KRRmTF6W+3DeE6DwAAAIDLpr/6id7Or9Q/p1+i85K7mI4DH3EmfYtbL5MAuGZM72667sIkvVd4SP+PuRsAAAAAF+2srNXb+ZUa16cbRRKMoUwCDPn5lf2UGB2i/2PuBgAAAMBF8/IKJEkz+K4kGESZBBgSFRKoxyfnqK65TQ8tyed1NwAAAACn9dm+Gi3ffkAT+yVoQM9o03HgxyiTAINGZcfr+guTtb7okF7dVGY6DgAAAAAPNncFV0nwDJRJgGE/u7KvekSH6Hdv71T54QbTcQAAAAB4oE/Lj2rlroO6YmCi+iZGmY4DP0eZBBh2Yu5W32LXT5YxdwMAAADwVXNWFMhike4bn2U6CkCZBHiCkdnx+s6QZL1fVK1XNjJ3AwAAAPBfm0sPa11Bla7K7aGshEjTcQDKJMBT/PTyvurZJVSP/Zu5GwAAAID/mrOiQFaLdO84rpLgGSiTAA8RGRKoxycPVH2LXQ8tzZfDwdwNAAAA8HcfFFdrQ3G1rhmUpPT4CNNxAEmUSYBHGZEVr+8MSdGG4mq9wutuAAAAgF9zOp2au6JANqtF94zLNB0HOIkyCfAwP728D3M3AAAAAHq/qFqbSg9r6gVJSo0NNx0HOIkyCfAwkSGB+v3kHDW02DVryVbmbgAAAIAfcjqdmrNitwJtFt09lqskeBbKJMADDc+K040XpejDksP6+8a9puMAAAAA6GRrCqr0SdlRXT84WUldw0zHAb6EMgnwUA+ffN1tl8qqmbsBAAAA/uLEdyUFBVg1fQxXSfA8lEmAh4oIDtDsKTlqbGXuBgAAAPiTvJ0HlV9Ro+8OSVFidKjpOMBXUCYBHmxYZpy+NzRFG/cc1ssfMncDAAAAfJ3D4dScFQUKDrDqrtEZpuMAp0SZBHi4hy/rq6SuoXr8nV3aW11vOg4AAACADrR8++faWVmr71+cqm5RIabjAKdEmQR4uPDgAD1xcu6Wz9wNAAAA8FEOh1Nz8woUGmjTHaO4SoLnokwCvMCwjDh9/+JUbdpzWH/7oNR0HAAAAAAd4O1tlSo4UKebh6UpLiLYdBzga1EmAV7ioUv7KDkmVI//Z5dKDzF3AwAAAHyJ3eHUvLwChQfZdMfIdNNxgNOiTAK8RHhwgJ6YnKumVoceZO4GAAAA+JQ3t+5TcVW9bhveS13Dg0zHAU6LMgnwIhdnxOrmi1O1qfSw/rqh1HQcAAAAAG7QZndofl6hIkMC9MPhXCXB81EmAV7mocv6KCUmTE8s36U9zN0AAAAAr7dsyz6VVjfoh8PTFR0WaDoO8I0okwAvExbU/rpb+9xtK3M3AAAAwIu1tDn09MpCRYcG6rbhaabjAC6hTAK80ND0WN0yLE0flR7RX5i7AQAAAF5ryccVqjjSqGkj0xUZwlUSvANlEuClHry0t1JjwzR7+S6VVNWZjgMAAADgDDW32bVgVaFiwoN0y7A003EAl1EmAV4qLChAs6fkqrnNoVlL8mVn7gYAAAB4lUUflWt/TZPuHJWu8OAA03EAl1EmAV5sSK8Y3TIsTR/vPaK/vL/HdBwAAAAALmpqtWvh6iLFRQTrpqFppuMAZ4QyCfByD07qo7TYMM1evlvFzN0AAAAAr/DKxjIdqG3WXaMzFBpkMx0HOCOUSYCXCw2yafbUXLXYHZq1eCtzNwAAAMDDNbS06Y9ripQQFazvXpRiOg5wxiiTAB8wOC1Gtw7rpU/KjurF9czdAAAAAE/28gd7daiuRXePyVRIIFdJ8D6USYCPmDWpt3rFhevJd5m7AQAAAJ6qrrlNz64tVo/oEF03ONl0HOCsUCYBPiI0yKbZU3KYuwEAAAAe7KUNpTrS0Kq7x2YpOICrJHgnyiTAh1yYFqMfXNI+d/vz+hLTcQAAAAB8QW1Tq55fV6LkmFBNvTDJdBzgrFEmAT7mgUm9lR4XriffLVDRwWOm4wAAAAA47i/rS1XT2Kofj81SoI2/jsN78acX8DEhgTbNnpqjVrtDDyzOZ+4GAAAAeICahla9sL5EabFhunZQT9NxgHNCmQT4oAtSY/TD4b30aflR/ek95m4AAACAaS+sL9GxpjbdOz5LAVwlwcvxJxjwUfdP7K30+HDNWcHcDQAAADDpcH2LXly/Rxnx4boql6skeD/KJMBHhQTa9OTUXLXZHbp/cb7a7A7TkQAAAAC/9Py6EtW32HXf+GzZrBbTcYBzRpkE+LDzU7rq9hHp2lp+VH96b4/pOAAAAIDfOVTXrJc2lKp3QqSuGJhoOg7gFpRJgI+bMSFbGfHhmruiQIUHmLsBAAAAnenZNcVqbLVrxoQsWblKgo+gTAJ83Mm5m8OhBxZvZe4GAAAAdJKDtU16+cO96pcYpYn9upuOA7gNZRLgBwaldNXtI9O1taJGz63jdTcAAACgMzyzpljNbQ7NnJDNVRJ8CmUS4CdmjM9WZrcIzc8r1O7PmbsBAAAAHamyplGvbixTblK0xvXtZjoO4FaUSYCf+OLcbdYS5m4AAABAR1qwqkgtdodmTMiWxcJVEnwLZRLgR85L7qI7RmUon7kbAAAA0GHKDzfoH5vLdX5KF43KjjcdB3A7yiTAz9w3PktZ3SI0L6+AuRsAAADQARauLlKr3an7J/bmKgk+iTIJ8DPBAe1zN4dTemDxVrUydwMAAADcZm91vRZ/XKEhvWI0LCPWdBygQ1AmAX4oN7mL7hiZrm37avTc2mLTcQAAAACf8fTKItkdTs3ku5LgwyiTAD917/gsZSdEaP7KQu2srDUdBwAAAPB6xVV1en1LhS7JjNXQdK6S4LsokwA/xdwNAAAAcK+nVxbK4ZRmTsg2HQXoUJRJgB/LSeqiO0ela/v+Wv1xDXM3AAAA4GwVHDimN7fu16jseF2QGmM6DtChKJMAP3fPuCz1TojUH1YxdwMAAADO1vy8Qjmd0gyukuAHKJMAP8fcDQAAADg3Oytr9fa2So3v203nJXcxHQfocJRJADQwKVp3jc7Q9v21emY1czcAAADgTMxdUSBJum88V0nwD5RJACRJPx6bpT7d2+du2/fXmI4DAAAAeIXP9tXo3R0HNKl/ggb0jDYdB+gUlEkAJElBAVY9OTVXTkkPLM5XSxtzNwAAAOCbzDl+lcR3JcGfUCYBOGlAz2hNH52hnZW1Wri6yHQcAAAAwKNtKTuiVbsO6oqcRPXpHmU6DtBpKJMAfMndx+duC1cXMXcDAAAATmNuXqEsFmnG+CzTUYBORZkE4EtOzN0k6f5/bGXuBgAAAJzC5tLDWldQpatzeyizW6TpOECnokwC8BUDekbrrjGZ2vX5MS1g7gYAAAB8xZwVBbJZLbqXF9zghyiTAJzS3WMy1TcxSs+sLtJn+5i7AQAAACd8UFytDcXVumZQT/WKCzcdB+h0lEkATql97pYjSXpgMXM3AAAAQJKcTqfmrihQgNWie8byXUnwT5RJAL5W/x7Runvs8bnbqkLTcQAAAADj1hcd0qbSw5p6YZJSYsNMxwGMoEwCcFrTx2SqX2KUFq4p1rYK5m4AAADwX06nU3NWFCjQZtH0MZmm4wDGUCYBOK1AW/vrbha1z92a2+ymIwEAAABGrCmo0payo7phcIqSunKVBP9FmQTgG/XrEaUfj83S7gPH9IeVvO4GAAAA/3Piu5KCAqy6a0yG6TiAUZRJAFxy15gM9e8RpT+uLVZ+xVHTcQAAAIBOlbfzoPIravTdISlKjA41HQcwijIJgEtOzN2sFuZuAAAA8C8OR/t3JYUEcpUESJRJAM5A38T2uVvBgTo9vZLX3QAAAOAflm//XDsra3XT0FR1iwwxHQcwjjIJwBn50egMDegZpWfXlmhrOXM3AAAA+Da7w6m5eQUKC7LpzlFcJQESZRKAM/S/c7emVuZuAAAA8F1vb6tUwYE63TwsTbERwabjAB6BMgnAGevTPUr3jstS4cE6zWfuBgAAAB9ldzg1L69AEcEBmjYi3XQcwGNQJgE4K3eOytDAntF6bm2xPmXuBgAAAB/0xqf7VFJVr9suSVPX8CDTcQCPQZkE4KwEHJ+7BVitzN0AAADgc9rsDs1fWajIkAD9YDhXScAXUSYBOGu9u0fq3vFZKjpYp3l5zN0AAADgO5Z9sk97qxt0+4h0RYcFmo4DeBTKJADn5I6R6cpJitbz64q1peyI6TgAAADAOWtpc+jpVYXqEhaoWy9JMx0H8DiUSQDOCXM3AAAA+JolH1eo4kijpo1MV2QIV0nA/6JMAnDOshMidd+ELBVX1WvuigLTcQAAAICz1txm14JVhYoJD9LNF6eZjgN4JMokAG4xbUS6cpO76E/vlegT5m4AAADwUos+Ktf+mibdOSpd4cEBpuMAHokyCYBbBNisenJKDnM3AAAAeK2mVrsWrCpSXESwbhqaZjoO4LEokwC4TVZCpGZMyFZJVb3mMHcDAACAl3llY5kOHmvWXaMzFBpkMx0H8FiUSQDc6vYRvU7O3T7ey9wNAAAA3qGhpU1/XFOkhKhgffeiFNNxAI9GmQTArQJsVj01NUeBNqtmMXcDAACAl3j5g706VNeiu8dkKiSQqyTgdCiTALhdZrdIzZyQrZJD9Xrq3d2m4wAAAACnVdfcpmfXFqtHdIiuG5xsOg7g8SiTAHSI20ek67zkLnph/R5tLj1sOg4AAADwtV7aUKojDa368bgsBQdwlQR8E8okAB3CZrXoyam57XO3JflqbGHuBgAAAM9T29Sq59eVKDkmVFMuSDIdB/AKlEkAOkxmtwg9MDFbew7V60nmbgAAAPBAL67fo5rGVt0zNkuBNv6KDLiCf1MAdKgfDE/X+Sld9OL7e/QRczcAAAB4kJqGVv35vT1Kiw3TNYN6mo4DeA3KJAAdyma1aPbUXAUdf92NuRsAAAA8xQvrS3SsuU33js9SAFdJgMv4twVAh8uIj9ADE3urtLpBs5czdwMAAIB5h+tb9OL6PcqID9dVuVwlAWeCMglAp7hteC9dkNpVf9mwR5v2MHcDAACAWc+vK1F9i133jc+WzWoxHQfwKpRJADqFzWrR7Ck5CrJZ9eCSrWpoaTMdCQAAAH6q6lizXtpQqt4JkbpiYKLpOIDXoUwC0GnS4yM0a1L73O2J/zB3AwAAgBnPrS1WY6tdMyZkycpVEnDGKJMAdKpbL+mlC1O76q8bSrWxpNp0HAAAAPiZA7VNevnDverfI0qT+nc3HQfwSpRJADqVzWrRE1NyFBJo1awl+czdAAAA0Kn+uKZYzW0OzRifLYuFqyTgbFAmAeh07XO3Pio7zNwNAAAAnaeyplGvbixTblK0xvXtZjoO4LUokwAYceuwNA1Oa5+7fcjcDQAAAJ1gwaoitdgdmjGBqyTgXFAmATDCarVo9pRchQRa9SBzNwAAAHSw8sMN+sfmcp2f0kWjsuNNxwG8GmUSAGPS4sL14PG52+/f2WU6DgAAAHzYglVFarU7df/E3lwlAeeIMgmAUbcMS9OQtBi99MFebSg+ZDoOAAAAfNDe6not+aRCQ3rFaFhGrOk4gNejTAJglPULr7s9uCRf9c3M3QAAAOBeT68skt3h1Ey+KwlwC8okAMalxYXroUv7qOJIox5n7gYAAAA3Kq6q0+tbKnRJZqyGpnOVBLgDZRIAj3DzxWka0itGL3+4VxuKmLsBAADAPZ5eWSiHU5o5Idt0FMBnUCYB8AhWq0VPTslVaKBNDy5l7gYAAIBzV3DgmN7cul+jsuN1QWqM6TiAz6BMAuAxUmLD9JPL2uduj72z03QcAAAAeLn5eYVyOqUZXCUBbkWZBMCj3DQ0VUPTY/T3D8uYuwEAAOCs7dhfq7e3VWpcn246L7mL6TiAT6FMAuBRrFaLnpicq7Agm2YtyVcdczcAAACchXl5BZK4SgI6AmUSAI9zYu6272ijfvdv5m4AAAA4M9sqavTujgOa1D9BA3pGm44D+BzKJAAe6XsXtc/dXt1YpvWFzN0AAADgurlcJQEdijIJgEeyWi2aPaV97vbQ0nwda2o1HQkAAABeYEvZEa3adVBX5CSqT/co03EAn0SZBMBjJceE6eHL+x6fu+0yHQcAAABeYM6KAlks0n3jskxHAXwWZRIAj3bjkBQNy4jVa5vK9F5hlek4AAAA8GAflR7We4WHdHVuD2UlRJqOA/gsyiQAHs1qtej3k3MUHmTTQ0uYuwEAAODrzXm3QFaLdA9XSUCHokwC4PFOzN321zTxuhsAAABOaUPxIX1QUq1rz09SenyE6TiAT6NMAuAVbrwoRZdkxuq1TeVaV8DcDQAAAP/ldDo1b0WhAqwW3TOWqySgo1EmAfAKFssX5m5L81XL3A0AAADHrS86pE2lhzX1wiSlxIaZjgP4PMokAF4jqWuYfnpFX1XWNOn/3mLuBgAAgParpDkrChRos2j6mEzTcQC/QJkEwKt8d0iKhmfGadHmcq3ZfdB0HAAAABi2ZneVtpQd1fWDk5XUlaskoDNQJgHwKhaLRb+fkqOI4AA9vGwbczcAAAA/duIqKSjAylUS0IkokwB4nZ5dQvWz43O3R9/aYToOAAAADMnbeVDb9tXou0NSlBgdajoO4DcokwB4pRsGJ2tEVpz+sblCq5m7AQAA+B2Ho/0qKSTQqrvGZJiOA/gVyiQAXslisejxycfnbku3qaaRuRsAAIA/Wb79c+2srNVNQ1PVLTLEdBzAr1AmAfBaPbuE6udX9NXntU36LXM3AAAAv2F3ODU3r0BhQTbdMYqrJKCzUSYB8GrXD07WyOx4Lfm4Qqt2HTAdBwAAAJ3g7W2VKjhQp5uHpSkuIth0HMDvUCYB8GoWi0WPXztQkcdfd6tpYO4GAADgy+wOp+blFSgiOEDTRqSbjgP4JcokAF6vR5dQPXJlP/1/9u47POv63v/4676zdwhZhITsgGxQEZkyonXhxGqPtdbWcVBRaO3p6Wkdnb/TWkAF66hW7ThaFcXRqoTIElyIbMiejOw97/H7I0K1ghK4k889no/ryh9e3he+/MPkysv36/s90tKtnzN3AwAA8GprPq1WSW27bpqepiFhgabjAD6JMgmAV1h4VrLOGxmnlz9h7gYAAOCtbHaHHlpXqIhgf31vBldJgCmUSQC8gsVi0W+uHKeIYH/9+GXmbgAAAN5o9SfVKq/v0PdnZCgqNMB0HMBnUSYB8BrDovrmbjWt3XrgjT2m4wAAAMCFemwOPZxfqKiQAN00I810HMCnUSYB8CoLz0zWnJFxWv1JtfL2MncDAADwFi9uq1RVY6dumZWhiGCukgCTKJMAeJW+udt4RQT7679f2aWmjh7TkQAAAHCaum12rcwvUkxYoG6clmY6DuDzKJMAeJ3EqGDde8lo1bZ264HXebsbAACAp3vho0odau7SbbMzFBbkbzoO4PMokwB4pavPTNbcUfF6ZXu11jJ3AwAA8FhdvX1XSbHhQfr21DTTcQCIMgmAlzr6drfIYH/9hLkbAACAx/rrBxWqae3WovMyFRLoZzoOAFEmAfBiCZHBuu/SMapt7db9r/F2NwAAAE/T0WPTH9YXKSEySN86Z4TpOAA+Q5kEwKtdOXm45o2K16ufHtQ7ew6bjgMAAIB++PPWctW19eiOOVkKDuAqCXAXlEkAvJrFYtGvj83ddquxnbkbAACAJ2jrtumxDcVKigrWNWenmI4D4HMokwB4vYTIYN2/YIzq2rp1H3M3AAAAj/DsljI1dvTqznnZCvLnKglwJ5RJAHzCFZOGa/4Z8Xptx0G9tZu5GwAAgDtr6erVExtLlBIToqvPTDYdB8C/oUwC4BMsFot+fcU4RYUE6Kev7lIDczcAAAC39fTmUjV39urOudkK8OPXVsDd8F8lAJ8RHxmsBxaMUV1bD3M3AAAAN9Xc0aunNpUqbWiorpw03HQcAMdBmQTAp1w2MUm5oxP0+o6Demv3IdNxAAAA8G/+uLlErd023TU/W/5cJQFuif8yAfgUi8WiX10xVtGhAfrpq7uZuwEAALiRhvYePb25VJlxYVowgaskwF1RJgHwOfER/5q73btmt+k4AAAA+MwTG0vU3mPX3fNz5Ge1mI4D4AQokwD4pAUTknT+6AS9sfOQ/rmLuRsAAIBpta3denZLmUYmROjiccNMxwHwFSiTAPgki8WiX35u7lbf1m06EgAAgE97fEOxOnvtWpKbLStXSYBbo0wC4LOOzt3q23t07xre7gYAAGBKTUuX/vx+uUYPi9T5oxNNxwHwNSiTAPi0BROS9I0xiXpz1yG9uZO5GwAAgAmPri9Wt82hpbk5XCUBHoAyCYBPs1gs+sXlYzUkNEA/W7NbdczdAAAABtWh5k797YMKjU+O0rwz4k3HAXASKJMA+Ly4iCD9/LKxamjn7W4AAACDbWV+kXrsDi3JzZHFwlUS4AkokwBA0iXjh+nCsYn6x67DemPnQdNxAAAAfEJlQ4f+/nGlJo+I1nk5cabjADhJlEkAoH/N3WLCAnXvmj3M3QAAAAbByvwi9dqdWpo7kqskwINQJgHAZ2LDg/Tzy8aoob1HP3t1t5xOp+lIAAAAXqu8vl0vfVKlKekxmp411HQcAP1AmQQAn3PJ+CRdNC5R/9x9WG/wdjcAAIAB8/C6ItkdTi3lWUmAx6FMAoB/84vLxmpoWKDuXbNbta3M3QAAAFytuLZNr2yv0vSsoZqawVUS4GkokwDg3wwND9IvLh+rxo5e/fTVXczdAAAAXOzhdYVyOKUl83NMRwFwCiiTAOA4Lho3TBePH6a39xzRazt4uxsAAICrFBxp1Ws7DmpWTpzOSosxHQfAKaBMAoAT+PmCMRoaFqj7XtujmtYu03EAAAC8wkN5hXI6paW5XCUBnooyCQBOYGh4kH55+Vg1dfTqp6/wdjcAAIDTte9Qi97cdUjzRsVrYkq06TgAThFlEgB8hQvHDdMl44fpnb3M3QAAAE7X8rUFkqQlXCUBHo0yCQC+xs8vG6vYcOZuAAAAp2NXVbPe2XtEF4xJ0NjhUabjADgNlEkA8DViwgKPzd3+h7kbAADAKVme13eVdDdvcAM8HmUSAJyEb4wdpgUTkrR27xGt+ZS5GwAAQH9sr2hU/v4aXTx+mM4YFmk6DoDTRJkEACfpgQVjFBse1Dd3a2HuBgAAcLKW5xXKYpHunpdtOgoAF6BMAoCTNCQsUL+6YqyaO3v1k1d2MXcDAAA4CR+XNWhjQa0um5Ck7IQI03EAuABlEgD0wwVjEnXZxCTl7avRK9urTccBAABwe8vWFshqkRZzlQR4DcokAOin+y/tm7vd/0E2g58AACAASURBVNoeHWHuBgAAcEJbi+u1pbheV0xKVkZcuOk4AFyEMgkA+mlIWKB+fcVYtXTZ9JPVzN0AAACOx+l0avnaAvlZLbqLqyTAq1AmAcApOH9Moi6fmKR1+2u0+hPmbgAAAP9uc1GdPixr0MIzkzViaKjpOABciDIJAE7R/QvGKC4iSA+8ztwNAADg85xOp5atLVCAn0V3zM0yHQeAi1EmAcApig4N1G+uGKeWLpv+m7kbAADAMesLarW9oknfPDtFyUO4SgK8DWUSAJyG+aMTdOWk4crfX6OXmbsBAAAce1ZSoL9Vt8/hKgnwRpRJAHCa7rt0jOI/m7sdbmbuBgAAfFvevhrtrGrWt6aM0LCoENNxAAwAyiQAOE1RoQH6zZXj1Npl049X72TuBgAAfJbD0fespCB/qxadl2k6DoABQpkEAC4w74wEXTl5uNYfqNWL26pMxwEAADDi7T2Hte9Qi244N1XxkcGm4wAYIJRJAOAi910yRgmRQfrF63t1qLnTdBwAAIBB5XA4tTyvQKGBfrp1NldJgDejTAIAFzk2d+u26ccv83Y3AADgW97YdUgFR9r0nWlpig0PMh0HwACiTAIAF5o7KkFXn5msDQW1evFj5m4AAMA32B1OrcgrUFign26ZmWE6DoAB5tIyqaOjQ9ddd52ysrKUk5Oj1atXf+XnnU6n5s2bp9jYWFfGAACjfnbJaCVGBusXb+zVwSbmbgAAwPut+bRaJbXtumlGuoaEBZqOA2CAubRMevDBBxUUFKSioiK9/fbbWrRokRobG0/4+ZUrVyotLc2VEQDAuKiQAP3mqs/mbquZuwEAAO9mszv08LpCRQT76/szuEoCfIFLy6QXXnhBt99+uyQpPT1ds2bN0po1a4772cLCQj3//PP68Y9/7MoIAOAW5oyM18Izk7WxoFZ//7jSdBwAAIABs3p7tcrqO/T9GRmKCg0wHQfAIHBpmVRRUaHU1NRjf52WlqaKioovfc7hcOjmm2/WqlWrFBDw1d9sli1bpuTk5GNfbW1trowMAAPmp8fmbvtUzdwNAAB4oR5b31VSVEiAbpqRZjoOgEHSrzJp5syZio2NPe5XZWXf/3m3WCzHPn+iaceDDz6oWbNmaeLEiV/7z1y6dKmqqqqOfYWHh/cnMgAYc3Tu1tZt049f3sncDQAAeJ2XtlWpqrFTt8zKUEQwV0mAr/Dvz4c3bdr0lX9/xIgRKisrU1xcnCSpvLxcF1100Zc+t3HjRu3cuVPPPfecbDabGhsblZaWpu3bt2vIkCH9iQQAbm3OyHh986wUvfBxpZ7/qFLXTRlhOhIAAIBLdNvsWplfqJiwQN04Lc10HACDyKUzt4ULF2rVqlWSpNLSUm3YsEELFiz40ufeeOMNVVRUqKysTJs3b9aQIUNUVlZGkQTAK/3PJWdoWFSwfvXmPjV19JiOAwAA4BIvfFSpg81dum12hsKC+nWnAMDDubRMuueee9TZ2amsrCxdcMEFWrVqlWJiYiRJ9957rx577DFX/uMAwCNEBgfo+qmpauu26f2SBtNxAAAATltXr10r84sUGx6kb09NMx0HwCCzOD3sIR7JycmqqqoyHQMA+qW6qVNzfrdeo5Mi9cqiaV94vhwAAICneWpzqX7xxl7de8lo3TQj3XQcAC7Qn77FpZdJAIDjGx4domunpOjTyia9e6DGdBwAAIBT1tFj0x/WFykhMkjfOofnQQK+iDIJAAbJovOyFOhv1bK1BbzZDQAAeKw/by1XXVuP7piTpeAAP9NxABhAmQQAgyQxKlj/cc4I7a5u0Tt7j5iOAwAA0G9t3TY9tqFYSVHBuubsFNNxABhCmQQAg+g/z8tUcIBVy9cWyOHgOgkAAHiWZ7eUqbGjV3fMzVaQP1dJgK+iTAKAQRQfEawbzk3T/sOt+ufuw6bjAAAAnLSWrl49sbFEKTEhWnhWsuk4AAyiTAKAQXbrrAyFBvppRV6B7FwnAQAAD/H05lI1d/bqzrnZCvDjV0nAl/EdAAAG2dDwIN04LU2FNW16Y+dB03EAAAC+VnNHr57aVKq0oaG6ctJw03EAGEaZBAAG3DIrQ+FB/noor1A2u8N0HAAAgK/0x80lau226a752fLnKgnweXwXAAADokMDddOMdJXUtWvNp1wnAQAA99XQ3qOnN5cqMy5MCyZwlQSAMgkAjPnejHRFBvvroXWF6uU6CQAAuKknNpaovceuu+fnyM9qMR0HgBugTAIAQ6JCAnTzzAxVNHRo9SdVpuMAAAB8SW1rt57dUqaRCRG6eNww03EAuAnKJAAw6MbpaYoODdDD64rUY+M6CQAAuJfHNxSrs9euJbnZsnKVBOAzlEkAYFBEcIBunZWp6qZO/f3jStNxAAAAjjnS0qU/v1+u0cMidf7oRNNxALgRyiQAMOyGc1M1NCxQK/OL1NVrNx0HAABAkvSH9cXqtjm0NDeHqyQAX0CZBACGhQX567bZmTrc0qXnP6wwHQcAAECHmjv1tw8qNCE5SvPOiDcdB4CboUwCADdw/dRUxUUEadX6Yq6TAACAcSvzi9Rjd2hJbo4sFq6SAHwRZRIAuIGQQD8tOi9Tta3d+sv75abjAAAAH1bZ0KG/f1ypySOiNTsnznQcAG6IMgkA3MR1U0YoMTJYf1hfrI4em+k4AADAR63ML1Kv3amluSO5SgJwXJRJAOAmggP8dPvcLNW39+jZLVwnAQCAwVde366XPqnSlPQYTc8aajoOADdFmQQAbuSbZ6VoeHSIHt9YrNauXtNxAACAj3loXaHsDqeW8qwkAF+BMgkA3Eigv1V3zs1SU0evnnmvzHQcAADgQ4pr2/Tq9mpNzxqqqRlcJQE4McokAHAzV52ZrBExoXpyU4maO7lOAgAAg+PhdYVyOKWluTmmowBwc5RJAOBmAvysWjwvWy1dNj29udR0HAAA4AMKjrTqtR0HNTsnTmemxpiOA8DNUSYBgBu6fGKSMmLD9PTmUjV19JiOAwAAvNxDeYVyOqUlXCUBOAmUSQDghvz9rLprfrZau216clOJ6TgAAMCL7T3Yojd3HdK8UfGamBJtOg4AD0CZBABu6pLxScqKD9ef3itTfVu36TgAAMBLrcgrkMRVEoCTR5kEAG7Kz2rR3fOz1dFj1xMbuU4CAACut6uqWe/sPaILxiRo7PAo03EAeAjKJABwYxeNHaZRiRF6dmuZalq7TMcBAABeZjlXSQBOAWUSALgxq9Wiu+fnqKvXocfWc50EAABcZ3tFo/L31+ji8cM0KjHSdBwAHoQyCQDc3AVjEjQmKVJ/+aBcR1q4TgIAAK6xbG2BLBZpyfxs01EAeBjKJABwcxaLRUtzc9Rjc2jVu0Wm4wAAAC/wUVmDNhXW6bIJScqKjzAdB4CHoUwCAA8wd1S8JqRE6/kPK1Xd1Gk6DgAA8HDL3imQ1SItnsdVEoD+o0wCAA9w7DrJ7tDKfK6TAADAqdtSXKetJfW6cnKyMuLCTccB4IEokwDAQ8zKjtWZqUP04seVqmzoMB0HAAB4IKfTqeVrC+RvtWjxXK6SAJwayiQA8BAWi0U/yM2RzeHUw+sKTccBAAAeaHNRnT4qa9TCs5I1Ymio6TgAPBRlEgB4kHMzh+qc9Bit3l6t0rp203EAAIAHcTqdWra2QAF+Ft0+J8t0HAAejDIJADzI0Wcn2blOAgAA/bT+QK22VzTp2rNHKHkIV0kATh1lEgB4mHMyhmpGVqzWfFqtoppW03EAAIAHOHqVFOhv1aI5mabjAPBwlEkA4IGW5ObI4ZQeWseb3QAAwNdbu/eIdlU361tTRmhYVIjpOAA8HGUSAHigM1OH6LyRcXpj50EdOMx1EgAAODGHw6nleYUKDuAqCYBrUCYBgIdaMj9HTqe0Iq/AdBQAAODG3tpzWPsOtejbU1MVHxFsOg4AL0CZBAAeakJKtOafkaB/7j6sPQebTccBAABuyO5wavnaAoUG+um22VwlAXANyiQA8GBLcrMlScvX8mY3AADwZW/uOqTCmjZ9Z1qahoYHmY4DwEtQJgGABxuTFKULxyYqb98R7ahsMh0HAAC4EZvdoRV5BQoP8tctMzNMxwHgRSiTAMDD3T0/RxaLtJxnJwEAgM95bcdBldS266bpaRoSFmg6DgAvQpkEAB5uZGKELh43TOsP1GpbeaPpOAAAwA302h16aF2hIoL99b0ZXCUBcC3KJADwAnfPz5HVIi1fy3USAACQXvmkWuX1Hbp5ZoaiQgNMxwHgZSiTAMALZMWH67KJw7W5qE4flNSbjgMAAAzqsTn0cH6hokMD9N3paabjAPBClEkA4CUWz8uWn9WiZWsL5HQ6TccBAACGvLitUlWNnbplVoYigrlKAuB6lEkA4CXSY8N05aTh+qC0QVuLuU4CAMAXddvsWplfpJiwQH3n3DTTcQB4KcokAPAii+dly99q0e+5TgIAwCc9/2GlDjV36bbZGQoL8jcdB4CXokwCAC+SEhOqhWelaFt5ozYW1pmOAwAABlFXr12r3i1SbHiQvj01zXQcAF6MMgkAvMwdc7MU6Gfl2UkAAPiYv7xfrprWbi06L1MhgX6m4wDwYpRJAOBlhkeH6NopKdpR2aT8/TWm4wAAgEHQ0WPTYxuKlRAZpG+dM8J0HABejjIJALzQovOyFOjPdRIAAL7iz1vLVdfWozvmZCk4gKskAAOLMgkAvFBiVLCuPydVew626O09R0zHAQAAA6itu+8qKSkqWNecnWI6DgAfQJkEAF7qtvMyFBxg1Yq8AjkcXCcBAOCtnt1SpsaOXt05L1tB/lwlARh4lEkA4KXiI4J1w7lp2n+4Vf/Yfch0HAAAMABaunr1xMYSpcSE6Oozk03HAeAjKJMAwIvdOitDoYF+WpFXKDvXSQAAeJ2nN5equbNXi+dmK8CPX+8ADA6+2wCAFxsaHqQbp6WpqKZNr+84aDoOAABwoaaOHj21qVTpsWG6YtJw03EA+BDKJADwcrfMylB4kL8eWlcom91hOg4AAHCRP24qVWu3TXfNy5Y/V0kABhHfcQDAy0WHBuqmGekqrWvXq59ynQQAgDdoaO/Rn94rVVZ8uC6dkGQ6DgAfQ5kEAD7gezPSFRnsr4fXFaqX6yQAADze4xuL1d5j193zs+VntZiOA8DHUCYBgA+ICgnQzTMzVNHQoZe3VZmOAwAATkNta7ee21KukQkRumjsMNNxAPggyiQA8BE3Tk9TdGiAHskvUrfNbjoOAAA4RY9tKFZnr11LcrNl5SoJgAGUSQDgIyKCA3TrrExVN3Xq7x9znQQAgCc60tKlv7xfrjFJkbpgTKLpOAB8FGUSAPiQG85N1dCwQK3KL1JXL9dJAAB4mj+sL1a3zaEl83NksXCVBMAMyiQA8CFhQf76z/MydbilS//3YYXpOAAAoB8ONnXqbx9UaEJylOadEW86DgAfRpkEAD7mP85JVVxEkB5dX6zOHq6TAADwFKveLVKP3aEluVwlATCLMgkAfExIoJ9uPy9Tta3d+sv75abjAACAk1DZ0KG/f1ypySOiNTsnznQcAD6OMgkAfNC1U0YoMTJYj20oVnu3zXQcAADwNVbmF6nX7tQPzh/JVRIA4yiTAMAHBQf46fa5Wapv79FzW7lOAgDAnZXXt+ulT6o0JT1G0zKHmo4DAJRJAOCrvnlWioZHh+jxjcVq7eo1HQcAAJzAQ+sKZXc4tZRnJQFwE5RJAOCjAv2tunNulpo6evXMe2Wm4wAAgOMorm3Tq9urNT1rqKZmcJUEwD1QJgGAD7vqzGSNiAnVk5tK1NzJdRIAAO7mobxCOZzS0twc01EA4BjKJADwYQF+Vi2el62WLpue2lxqOg4AAPicgiOten3nQc3OidOZqTGm4wDAMZRJAODjLp+YpIzYMD29uVSN7T2m4wAAgM88lFcop1NawlUSADdDmQQAPs7fz6q75merrdumJzeVmI4DAAAk7T3Yojd3HdL8M+I1MSXadBwA+ALKJACALhmfpOz4cD2zpUz1bd2m4wAA4PNW5BVIku6ez1USAPdDmQQAkJ/Vorvn56ijx67HN3KdBACASbuqmvXO3iO6YEyCxg6PMh0HAL6EMgkAIEm6cGyiRiVG6LmtZapp7TIdBwAAn7X8s6sknpUEwF1RJgEAJElWq0VLcnPU1evQH9YXm44DAIBP+qSiUfn7a3Tx+GEalRhpOg4AHBdlEgDgmPNHJ2js8Ej99YMKHW7mOgkAgMG2fG2BLBZpyfxs01EA4IQokwAAx1gsFi3NzVGPzaFH1xeZjgMAgE/5qKxBmwrrdNmEJGXFR5iOAwAnRJkEAPiCOSP7XkH8/IeVqm7qNB0HAACfseydAvlZLbqLN7gBcHOUSQCALzh2nWR3aGU+10kAAAyGLcV12lpSrysmDVd6bJjpOADwlSiTAABfMjM7VmelDtGLH1eqor7DdBwAALya0+nU8rUF8rdatHguz0oC4P4okwAAX3L0OsnmcOqR/ELTcQAA8Gqbi+r0UVmjFp6VrBFDQ03HAYCvRZkEADiuaVmxmpoRo9Xbq1Va1246DgAAXsnpdGrZ2gIF+Fl0+5ws03EA4KRQJgEATmhp7kjZHU49vI7rJAAABsL6A7XaXtGka88eoeQhXCUB8AyUSQCAE5qSHqOZ2bFa82m1impaTccBAMCrHL1KCvS3atGcTNNxAOCkUSYBAL7SktwcOZzSijyukwAAcKW1e49oV3WzvjVlhIZFhZiOAwAnjTIJAPCVJo8Yojkj4/TmrkPaf7jFdBwAALyCw+HU8rxCBQdwlQTA81AmAQC+1pLcHDmd0kNcJwEA4BJv7zmsfYda9O2pqYqPCDYdBwD6hTIJAPC1xidHa/4ZCfrn7sPac7DZdBwAADya3eHU8rwChQb66bbZXCUB8DyUSQCAk7IkN1uStHwt10kAAJyON3cdUsGRNn1nWpqGhgeZjgMA/UaZBAA4KWOSonTh2ETl7TuiHZVNpuMAAOCRbHaHVuQVKDzIX7fMzDAdBwBOCWUSAOCk3T0/RxaLtDyvwHQUAAA80ms7Dqqktl03TU/TkLBA03EA4JRQJgEATtrIxAhdMj5J6w/Ualt5o+k4AAB4lF67Qw+tK1REsL++N4OrJACeizIJANAvd83LltUiLV/LdRIAAP3xyifVKq/v0M0zMxQVGmA6DgCcMsokAEC/ZMWH6/KJw7W5qE4flNSbjgMAgEfosTn0cH6hokMD9N3paabjAMBpoUwCAPTb4nnZ8rNatGxtgZxOp+k4AAC4vRe3VaqqsVO3zMpQRDBXSQA8G2USAKDf0mLDdNXk4fqgtEFbi7lOAgDgq3Tb7FqZX6SYsEB959w003EA4LRRJgEATsmdc7Plb7Xo91wnAQDwlZ7/sFKHmrt02+wMhQX5m44DAKeNMgkAcEpSYkJ1zdkp2lbeqI2FdabjAADglrp67Vr1bpFiw4P07alppuMAgEtQJgEATtkdc7IU6Gfl2UkAAJzAXz+oUE1rtxadl6mQQD/TcQDAJSiTAACnLCk6RNdNSdGOyibl768xHQcAALfS0WPTH9YXKSEySN86Z4TpOADgMpRJAIDTsmhOloL8uU4CAODf/XlrueraenTHnCwFB3CVBMB7UCYBAE5LQmSwrp+aqj0HW/T2niOm4wAA4Bbaum16bEOxkqKCdc3ZKabjAIBLUSYBAE7bbbMzFRxg1Yq8AjkcXCcBAPDsljI1dvTqznnZCvLnKgmAd6FMAgCctriIIH3n3DTtP9yqf+4+bDoOAABGtXT16omNJUqJCdHVZyabjgMALkeZBABwiVtnZyos0E/L8wpk5zoJAODDnt5cqubOXi2em60AP37lAuB9+M4GAHCJmLBA3Tg9TUU1bXpj50HTcQAAMKK5o1dPbSpV2tBQXTFpuOk4ADAgKJMAAC5z88wMRQT5a0VeoWx2h+k4AAAMuic3lai126a75mfLn6skAF6K724AAJeJDg3UTTPSVVrXrlc/5ToJAOBbGtp79Kf3SpUZF6YFE7hKAuC9KJMAAC71vZnpigz218PrCtXLdRIAwIc8sbFE7T123T0/R35Wi+k4ADBgKJMAAC4VGRygW2ZlqKKhQy9vqzIdBwCAQdHU0aNnt5RpZEKELh43zHQcABhQlEkAAJe7cXq6hoQG6JH8IvXYuE4CAHi/9Qdq1dlr1+WThsvKVRIAL0eZBABwufAgf906O1PVTZ164eNK03EAABhQTR09+tU/9iki2J83uAHwCZRJAIABccO5qYoND9Sq/CJ19dpNxwEAYMA88Ppe1bZ2675LxygxKth0HAAYcJRJAIABERror9tmZ+pwS5f+78MK03EAABgQa/ce0SvbqzV3VLyumsxVEgDfQJkEABgw109NVXxEkB5dX6zOHq6TAADepamjRz95ZZcig/31myvHyWLhWUkAfANlEgBgwAQH+On2OVmqbe3WX94vNx0HAACXuv+1Papt7db9C8YoIZJ5GwDfQZkEABhQ105J0bCoYD22oVjt3TbTcQAAcIl39hzWq58e1Pwz4nnoNgCfQ5kEABhQQf5910n17T16bivXSQAAz9fY3qOfvLJbUSEB+vUVzNsA+B7KJADAgLvmrBQNjw7R4xuL1drVazoOAACn5f7X96iurVv3LxiteOZtAHwQZRIAYMAF+lu1eF6Wmjp69cx7ZabjAABwyt7afVhrPj2o+Wck6PKJzNsA+CbKJADAoLhycrJSh4bqyU0lau7kOgkA4Hka2nv001d3fTZvG8u8DYDPokwCAAyKAD+rFs/NVkuXTU9tLjUdBwCAfrvvtT2qa+vRAwvGMG8D4NMokwAAg+ayiUnKiAvT05tL1dTRYzoOAAAn7a3dh/T6joPKHZ2gyyYmmY4DAEZRJgEABo2/n1V3zctWW7dNT2wsMR0HAICT0jdv263o0AD9inkbAFAmAQAG1yXjk5QdH65ntpSpvq3bdBwAAL7WvWt2/2veFsG8DQAokwAAg8rPatGS3Bx19Nj1ONdJAAA3989dh/TGzkO6YEyCFkxg3gYAEmUSAMCAb4xJ1KjECD23tUw1rV2m4wAAcFz1bd366au7NSQ0QL+8fBzzNgD4DGUSAGDQWa0WLc3NUVevQ4+t5zoJAOCe7l2zR/XtPXrgsrGKiwgyHQcA3AZlEgDAiNzRCRo3PEp/+aBch5u5TgIAuJc3dx7Sm7sO6RtjEnXp+GGm4wCAW6FMAgAYYbH0XSf12Bx6dH2R6TgAABxT19atn63pm7f94nLe3gYA/44yCQBgzHkj4zQxJVrPf1ip6qZO03EAAJDU9/a2hvYe/Zx5GwAcF2USAMCYY9dJdodW5nOdBAAw742dB/WPXYd14dhEXcK8DQCOizIJAGDUzOxYnZ02RC9+XKmK+g7TcQAAPqyurVv3rtmjmLBA5m0A8BUokwAARlksFi3JzZHN4dQj+YWm4wAAfJTT6dTPXj06bxuj2HDmbQBwIpRJAADjpmXG6tyMoVq9vVqlde2m4wAAfNAbOw/pn7sP6+Jxw3TJ+CTTcQDArVEmAQDcwpLcHNkdTj28juskAMDgqm3t1r1rdmtoWKB+ftkY03EAwO1RJgEA3MKU9BjNzI7Vmk+rVVTTajoOAMBHOJ1O/fTVXWrs6NUvLh+roczbAOBrUSYBANzGktwcOZzSijyukwAAg+O1HQf19p4junj8MF00jre3AcDJoEwCALiNySOGaM7IOL2565D2H24xHQcA4OVqWrt032t7+uZtC5i3AcDJokwCALiVpbkj5XRKD3GdBAAYQE6nUz99ZbeaOnr1S+ZtANAvlEkAALcyLjlKuaMT9M/dh7XnYLPpOAAAL/XajoN6Z+8RXTJ+mC5k3gYA/UKZBABwO0vm50iSlq/lOgkA4HpH522x4YH6+WVjTccBAI9DmQQAcDujkyJ10bhE5e07oh2VTabjAAC8iNPp1P98bt4WExZoOhIAeBzKJACAW7p7fo4sFml5XoHpKAAAL/Lqp9Vau/eIFkxI0jfGMm8DgFNBmQQAcEs5CRG6dHyS1h+o1bbyRtNxAABeoKalS/e/tlex4UF6gLe3AcApo0wCALitu+Zny2qRlq/lOgkAcHqcTqd+8souNXf26ldXjNUQ5m0AcMookwAAbiszLlyXTxquzUV1+qCk3nQcAIAHe2V7tfL21eiyiUm6YEyi6TgA4NEokwAAbm3x3Gz5WS1atrZATqfTdBwAgAc60tKl+1/bo9jwIN1/KfM2ADhdlEkAALeWFhumqyYP1welDdpazHUSAKB/nE6nfrJ6l1q6bPo18zYAcAnKJACA27tzbrb8rRb9nuskAEA/rf6kWuv21+jyiUk6n3kbALgEZRIAwO2lxITqmrNTtK28URsL60zHAQB4iCMtXXrg9T2KiwjS/by9DQBchjIJAOAR7piTpUA/K89OAgCcFKfTqf8+Nm8bp+hQ5m0A4CqUSQAAj5AUHaLrpqRoR2WT8vfXmI4DAHBzL22rUv7+Gl0xabhyRyeYjgMAXoUyCQDgMRbNyVKQP9dJAICvdri5Sz9/Y6/iI4J036WjTccBAK9DmQQA8BgJkcG6fmqq9hxs0dt7jpiOAwBwQ06nUz9evVOtXTb95krmbQAwECiTAAAe5bbZmQoJ8NOKvAI5HFwnAQC+6MVtVVp/oFZXTh6ueWcwbwOAgUCZBADwKHERQbphWqr2H27VP3YfMh0HAOBGDjV36hev71VCZJDuu4S3twHAQKFMAgB4nFtnZSos0E8r8gpl5zoJAKB/vb2ttbtv3hYVGmA6EgB4LcokAIDHiQkL1Henp6uopk1v7DxoOg4AwA28+HHfvO2qycmaO4p5GwAMJMokAIBH+v7MdEUE+WtFXqFsdofpOAAAgw42deoXb/TN2+7l7W0AMOAokwAAHik6NFA3zUhXaV27Xv2U6yQA8FV9b2/rm7f9vyvHgF07dQAAIABJREFUKyqEeRsADDTKJACAx/rezHRFBvvr4XWF6uU6CQB80gsfVWpjQa2uPjNZc0bFm44DAD6BMgkA4LEigwN0y6wMVTR06OVtVabjAAAGWXVTp3755j4lRgbrZ5cwbwOAwUKZBADwaDdOT9eQ0AA9kl+kHhvXSQDgK5xOp3788k61ddv0m6vGMW8DgEFEmQQA8GjhQf66dXamqps69cLHlabjAAAGyfMfVWpTYZ2uOStZc0YybwOAwUSZBADweDecm6rY8ECtyi9SV6/ddBwAwACrburUr97cp2FRwfop8zYAGHSUSQAAjxca6K/bZmfqcEuX/u/DCtNxAAAD6PPztv931XhFBjNvA4DBRpkEAPAK109NVXxEkB5dX6zOHq6TAMBb/d+HffO2b56Votk5cabjAIBPokwCAHiF4AA/3T4nS7Wt3frL++Wm4wAABkBVY4d+9eZeDYsK1v9ccobpOADgsyiTAABe45tnp2hYVLAe21Cs9m6b6TgAABdyOp36r5d3qr3HzrwNAAyjTAIAeI3gAD/dMTdL9e09em4r10kA4E3++kGF3iuq17VnM28DANMokwAAXmXhmSkaHh2ixzcWq7Wr13QcAIALVDZ06Df/2KekqGD9z8XM2wDANJeWSR0dHbruuuuUlZWlnJwcrV69+oSfraio0KWXXqqRI0dq1KhReuSRR1wZBQDgowL9rVo8L0tNHb165r0y03EAAKfJ4fjivC2CeRsAGOfSMunBBx9UUFCQioqK9Pbbb2vRokVqbGz80uecTqeuuOIK3XDDDTpw4ID27dunhQsXujIKAMCHXTk5WalDQ/XkphI1d3KdBACe7K8fVmhLcb2umzJCs5i3AYBbcGmZ9MILL+j222+XJKWnp2vWrFlas2bNlz63bt06hYSEHCuQLBaLEhMTXRkFAODDAvysWjw3Wy1dNj21udR0HADAKTo6bxseHaKfXDTKdBwAwGdcWiZVVFQoNTX12F+npaWpoqLiS5/bu3ev4uLidO2112rSpEm64oorVFJSctw/c9myZUpOTj721dbW5srIAAAvddnEJGXEhenpzaVq6ugxHQcA0E8Oh1M/emmnOnrs+l/mbQDgVvpVJs2cOVOxsbHH/aqsrJTUd2V0lNPpPO6f09vbq7y8PP3sZz/T9u3bdeGFF+raa6897meXLl2qqqqqY1/h4eH9iQwA8FH+flbdNS9bbd02PbHx+P/DAgDgvv76Qbm2ltTrW+eM0IzsWNNxAACf068yadOmTaqrqzvuV0pKikaMGKGysrJjny8vL9eIESO+9OekpqZq0qRJGjNmjCTp+uuv17Zt22S320/v3wYAgM+5ZHySchLC9cyWMtW3dZuOAwA4SZUNHfrNP/d/Nm/j7W0A4G5cOnNbuHChVq1aJUkqLS3Vhg0btGDBgi997sILL1R1dbWqq6slSW+99ZbGjh0rPz8/V8YBAPg4P6tFd8/PUUePXY9znQQAHsHhcOqel3aoo8eu3149XuFB/qYjAQD+jUu/M99zzz266aablJWVJavVqlWrVikmJkaSdO+99yopKUm33XabwsLC9Oijj+riiy+W0+lUdHS0/va3v7kyCgAAkqRvjEnUqMQIPbe1TN+fma74iGDTkQAAX+HP75fr/ZIG/cc5IzQ9i3kbALgji/NEDzZyU8nJyaqqqjIdAwDgQd7Zc1i3/Hmbvjs9TfddOsZ0HADACZTXt+sbKzYpJixQby+ZxVUSAAyi/vQtLp25AQDgjnJHJ2jc8Cj99YMKHW7uMh0HAHAcffO2nerstet3zNsAwK1RJgEAvJ7FYtHS3Bz12Bxa9W6R6TgAgON4bmuZPixt0Lenpmoa8zYAcGuUSQAAn3DeyDhNTInW8x9VqLqp03QcAMDnlNe363/fOqCUmBD9+MJRpuMAAL4GZRIAwCccvU7qtTu1Mp/rJABwF5+ft/32qgkKY94GAG6PMgkA4DNmZsfq7LQhevHjSlXUd5iOAwCQ9OzWvnnbDeem6tzMoabjAABOAmUSAMBnWCwWLcnNkc3h1CP5habjAIDPK6tr1/++tV8pMSH6r28wbwMAT0GZBADwKdMyY3VuxlCt3l6t0rp203EAwGc5HE796KWd6up1MG8DAA9DmQQA8DlLz8+R3eHUw+u4TgIAU57ZUqYPyxr0HeZtAOBxKJMAAD7n7LQYzcyO1aufVquoptV0HADwOaV17frt2/s1IiZU/8Xb2wDA41AmAQB80pLcHDmd0oo8rpMAYDDZHU7d8+KOvnnb1eMVGsi8DQA8DWUSAMAnTR4xRHNGxunNXYe0/3CL6TgA4DP+9F6pPi5v1I3T0jQ1g3kbAHgiyiQAgM9amjuy7zppLddJADAYSmrb9Lu3Dyh1aKh+9I2RpuMAAE4RZRIAwGeNS45S7ugEvbXnsHZXN5uOAwBeze5w6p6XdqrH7tDvrp7AvA0APBhlEgDApy2ZnyNJWpFXYDgJAHi3P71Xqm2fzdumpMeYjgMAOA2USQAAnzY6KVIXjUtU3r4a7ahsMh0HALxS8WfztrShofrRBby9DQA8HWUSAMDn3T0/RxaLtGwt10kA4GpH397WY3fodwsnKCTQz3QkAMBpokwCAPi8nIQIXTo+SRsKarWtvMF0HADwKk9vLtUnFU367rR0nZ3GvA0AvAFlEgAAku6any2rRVrOm90AwGWKatr04DsHlB4bpnsu4O1tAOAtKJMAAJCUGReuyycN1+aiOn1QUm86DgB4vL63t302b7t6PPM2APAilEkAAHxm8dxs+Vkt+v3aAjmdTtNxAMCj/XFTibZXNOmm6ek6i3kbAHgVyiQAAD6TFhumqyYP14elDdpSzHUSAJyqoppW/X5tgdJjw/TD85m3AYC3oUwCAOBz7pybLX+rRcu4TgKAU2J3OPXDF3eq1+7QgwuZtwGAN6JMAgDgc1JiQnXN2SnaVt6oDQW1puMAgMd5clOJPq1s0vdnpOvMVOZtAOCNKJMAAPg3d8zJUqCfVcu5TgKAfimqadWytQXKiAvTD5i3AYDXokwCAODfJEWH6LopKdpR1az8/TWm4wCAR7DZHfrBZ/O23109QcEBzNsAwFtRJgEAcByL5mQpyN/Ks5MA4CQ9ualUOyqbdPPMDJ2ZOsR0HADAAKJMAgDgOBIig3X91FTtOdiit/ccMR0HANxa4ZFWLf9s3rY0N8d0HADAAKNMAgDgBG6bnamQAD8tX1sgh4PrJAA4nr552w7ZHA49uJB5GwD4AsokAABOIC4iSDdMS9WBI636x+5DpuMAgFt6fGOJdlY16+aZGZo8gnkbAPgCyiQAAL7CrbMyFRbopxV5hbJznQQAX3DgcKseyitUZlyYljBvAwCfQZkEAMBXiAkL1Henp6uopk2v7zhoOg4AuA2b3aF7XmLeBgC+iDIJAICv8f2Z6YoI8tdD6wplsztMxwEAt3B03nbLrExNYt4GAD6FMgkAgK8RHRqom2akq7SuXa9srzYdBwCMO3C4VSvyCpQdH66752ebjgMAGGSUSQAAnITvzUxXZLC/Hs4vVC/XSQB8WK/doR++uEN2h1O/Y94GAD6JMgkAgJMQGRygW2ZlqLKhUy9tqzIdBwCMeXxDsXZVN+vW2ZmamBJtOg4AwADKJAAATtKN09M1JDRAK/OL1G2zm44DAINu36EWPbSukHkbAPg4yiQAAE5SeJC/bp2dqeqmTv39o0rTcQBgUB2dtzmc0oMLJyjIn3kbAPgqyiQAAPrhhnNTFRseqJXvFqmrl+skAL7jD+uLtedgi26dlaEJzNsAwKdRJgEA0A+hgf66bXamjrR0628fVJiOAwCDYt+hFj2SX6ichHDdxbwNAHweZRIAAP10/dRUxUcE6dH1xers4ToJgHf7/Lzt9wsnMm8DAFAmAQDQX8EBfrp9Tpbq2rr1l/fLTccBgAH16Lt987b/nJ2pcclRpuMAANwAZRIAAKfgm2enaFhUsP6woVjt3TbTcQBgQOw92DdvG5kQoTvnZZmOAwBwE5RJAACcgqPXSQ3tPXp2a5npOADgcj22vnmbU7y9DQDwRZRJAACcomvOStHw6BA9sbFErV29puMAgEuterdIew+1aNF5zNsAAF9EmQQAwCkK9Ldq8bwsNXX06k/vlZmOAwAus+dgs1a9W6RRiRG6cy5vbwMAfBFlEgAAp+HKyclKHRqqJzeVqLmD6yQAnq/H5tAP/v6veVugP78yAAC+iJ8MAACchgA/qxbPzVZrl01PbS4xHQcATtvKd4u0/3Crbp+TpbHDmbcBAL6MMgkAgNN02cQkZcSF6en3ytTY3mM6DgCcst3VzXr03SKdMSxSd8zh7W0AgOOjTAIA4DT5+1l117xstXXb9MQmrpMAeKajb2+TpAcXjmfeBgA4IX5CAADgApeMT1J2fLie3VKmurZu03EAoN9W5hcem7eNSWLeBgA4McokAABcwM9q0ZLcHHX02PX4hmLTcQCgX3ZXN2vV+mKdMSxStzNvAwB8DcokAABc5BtjEjUqMULPbS1XTUuX6TgAcFK6bXb98MUdsoh5GwDg5PCTAgAAF7FaLVqam6Num0OPruc6CYBneGRd39vb7pjLvA0AcHIokwAAcKHc0QkaOzxSf/uwQoeaO03HAYCvtLOqSX/YUKzRzNsAAP1AmQQAgAtZLH3XST02h1a9W2Q6DgCc0NF5m9UiPbhwggL8+NUAAHBy+IkBAICLzRkZr4kp0Xrho0pVNXaYjgMAx/XwukIVHGnTnXOzNTop0nQcAIAHoUwCAMDFjl4n9dqdXCcBcEs7q5r02IYSjR0eqf88L9N0HACAh6FMAgBgAMzMjtXZaUP04sdVqqjnOgmA+2DeBgA4XfzkAABgAFgsFi3JzZHN4dTD+YWm4wDAMQ/l9c3bFs/N1qhE5m0AgP6jTAIAYIBMy4zV1IwYrf6kSiW1babjAIB2VDbpsQ3FGjs8UrcxbwMAnCLKJAAABtDS3JFyOPsedAsAJnX12vWDF3fIz2ph3gYAOC38BAEAYABNSY/RzOxYrdlxUIVHWk3HAeDDVuQVqqimTXfNY94GADg9lEkAAAywJbk5cjqlFVwnATBke0WjnthYrHHDo3TbbOZtAIDTQ5kEAMAAmzxiiOaMjNObOw9p/+EW03EA+Jiu3r63t/lbrfr9NRPkz7wNAHCa+EkCAMAgWJo7UpK0fG2B4SQAfM3yvAIV17brrvnZykmIMB0HAOAFKJMAABgE45KjlDs6QW/vOaLd1c2m4wDwEZ9UNOrJjSWakBylW2dlmI4DAPASlEkAAAySJfNzJHGdBGBwdPXadc9n87YHFzJvAwC4Dj9RAAAYJKOTInXRuESt21+jTyubTMcB4OWWr+2bt92dm61s5m0AABeiTAIAYBDdPT9HFgvXSQAG1rbyRj2xqUQTUqJ1y0zmbQAA16JMAgBgEOUkROjS8UnaUFCrbeUNpuMA8EJH520BVqsevHo88zYAgMvxkwUAgEF21/xsWS3SMq6TAAyA379zQCV17Vp6fg7zNgDAgKBMAgBgkGXGhevyScP1XlG93i+pNx0HgBfZVt6gP24u1cSUaN3MvA0AMEAokwAAMGDx3Gz5WS1atrZATqfTdBwAXqBv3rZTAX5WPbhwvPysFtORAABeijIJAAAD0mLDdPXkZH1Y2qD3irhOAnD6Hny7b972g9wcZcUzbwMADBzKJAAADLljbpb8rRYtW3uA6yQAp+XjsgY99V6pJo2I1veZtwEABhhlEgAAhqTEhOqas1P0SUWTNhTUmo4DwEN19th1z0t987bfXT2BeRsAYMBRJgEAYNAdc7IU6Gfl2UkATtmD7xxQaV27fnh+jrLiw03HAQD4AMokAAAMSooO0XVTUrSzqlnr9tWYjgPAw3xY2qCn3yvV5BHR+t4M5m0AgMFBmQQAgGGL5mQpyL/vOsnh4DoJwMnp7LHrRy/tUKCfVb9byLwNADB4KJMAADAsITJY109N1d5DLXpn72HTcQB4iN++vV9l9R364fkjlRnHvA0AMHgokwAAcAO3zc5USICflq8t5DoJwNf6sLRBz2wp05mpQ3TTjHTTcQAAPoYyCQAANxAXEaQbpqXqwJFWvbnrkOk4ANxYR49N9xydt109nnkbAGDQUSYBAOAmbp2VqbBAP63IK5Cd6yQAJ/Dbtw6ovL5D91wwUhnM2wAABlAmAQDgJmLCAvXd6ekqrm3XazuqTccB4IY+KKnXM1vKdFbqEH13OvM2AIAZlEkAALiR789MV0SQvx7KK5TN7jAdB4Ab6Zu37VRwAG9vAwCYRZkEAIAbiQ4N1PdmpqusvkOrt3OdBOBffvvWAVU0dOieC0YpPTbMdBwAgA+jTAIAwM3cNCNdUSEBenhdoXq5TgIgaWtx37zt7LQh+u60NNNxAAA+jjIJAAA3ExkcoFtmZaiqsVMvbasyHQeAYe3dNv3o5R1987arJ8jKvA0AYBhlEgAAbug709I0JDRAj6wrVLfNbjoOAIP+9639qmzo1I8uGKU05m0AADdAmQQAgBsKD/r/7N13eJX1/f/x18k62QlJSAhkLwgkzIgIyEatViwC1qoU1G/VKqJQd61i60CkCk6wrVJnFUcdSBGQDSKKsiFASEKYYQWy1/37I5AfEZAbSHKf8Xxcl9dVkvvkvHJyPjl3Xv28z+2l2/sma3dRuT5ctdPqOAAssnz7Ab21Ik/dE8I0mvE2AICDoEwCAMBB/f6SeEUE+ujlBdtUXsXuJMDdlFRU64GP1srP21PPjejIeBsAwGFQJgEA4KD8fbx0R99k7TtaofdW5lsdB0Azmzh7swoOl+nBK9oqPpzxNgCA46BMAgDAgd3UI16RQXa9unC7yirZnQS4i+XbDujtb/N0cWKYfn9JgtVxAABogDIJAAAH5uvtqbv6p+hAcYXe/jbX6jgAmkHd1duOj7dx9TYAgAOiTAIAwMFd3z1W0SG+mrYoRyUV1VbHAdDEnpm9SQWHy/TQr9opLtzf6jgAAJyCMgkAAAdn9/LUmAEpOlRSqRnLc62OA6AJLdt2QO98m68eSWEa2SPe6jgAAJwWZRIAAE5gRLdYxbTw0+uLc3SsvMrqOACaQPHxq7f5+3hq0jDG2wAAjosyCQAAJ+Dj5aGxA1JVVFalN5bmWh0HQBN4+qtN2nWE8TYAgOOjTAIAwEkM7dpG8eH++ufSHBWVsjsJcCVLtx7QeyvrxttuupjxNgCAY6NMAgDASXh7euiegak6Vl6tfy3NsToOgEZyrLxKD35cN97G1dsAAM6AMgkAACdyTec2SmoZoDeW5epwSaXVcQA0gqe/2qxdR8r08JXpig1jvA0A4PgokwAAcCKeHjbdOyhNxRXVen0Ju5MAZ7dka6He/y5fPZPDdWP3OKvjAABgCmUSAABO5teZ0UqLCtSMZbk6UFxhdRwA5+lYeZUe/GitAnw89eywjoy3AQCcBmUSAABOxsPDpnGD0lRWVaPpi7ZbHQfAeXr6q03aXVTOeBsAwOlQJgEA4IQu79BK6dHBemtFnvYfLbc6DoBztDi7UO9/t1O9UsJ148WMtwEAnAtlEgAATqhud1KqKqpr9epCdicBzuRoeZUe+vj/j7fZbIy3AQCcC2USAABOanD7KGW2CdF73+VrT1GZ1XEAmPTUl3XjbY9cla6YFoy3AQCcD2USAABOymazafzgNFVW1+qVBdusjgPAhIVb9uuD73eqd0qEbuDqbQAAJ0WZBACAE+vXtqW6xIXqg1U7VXC41Oo4AH7B0fIqPfzJOgXavTRxWCbjbQAAp0WZBACAEzuxO6mqxtDL37A7CXBkT365UXuKyvVnxtsAAE6OMgkAACfXOyVC3RPCNPOHAuUdLLE6DoDTWLBlvz78vkCXpkbo+otirY4DAMAFoUwCAMDJ2Ww2jRucpppaQy+xOwlwOEVlVXr44xPjbVy9DQDg/CiTAABwAZckh+uSpHB9srpAOYXFVscBcJInv9yovUfL9ehV6WoT6md1HAAALhhlEgAALmL8ZWmqNaQX52+1OgqA4xZs3q+ZPxSoT1pL/ZbxNgCAi6BMAgDARVyUEKZLUyP02Zrd2rrvmNVxALdXVFalhz5ZqyC7lyZey9XbAACugzIJAAAXMn5wmgxDmsLuJMByf/tyo/YdrdCjv05Xa8bbAAAuhDIJAAAX0iWuhQa0i9SstXu0ac9Rq+MAbuubzfv00Q8F6pvWUtdlMd4GAHAtlEkAALiY8YPTJElT5mVbnARwT0WlVXro43V1423DGG8DALgeyiQAAFxMRpsQXdY+SnM27NP6XUVWxwHczhNfbtD+YxX6y6/bKzqE8TYAgOuhTAIAwAWNO7476YW57E4CmtO8jfv0yepd6te2pUZkxVgdBwCAJkGZBACAC0qPDtZVmdGav3m/ftp5xOo4gFsoKq3SI5+uU5CvlyZe25HxNgCAy6JMAgDARd0zKFU2m/Q8u5OAZvHEF3XjbY/9ur1ahfhaHQcAgCZDmQQAgItKiwrSkE6ttTi7UN/nHrI6DuDS5m3cp09+3KUB7SI1vBvjbQAA10aZBACACxs7MFUeNukFruwGNJkjpZV6+Ph429NDuXobAMD1USYBAODCklsGamiXGC3bdlDf5hy0Og7gkp74YqMKj1Xo8as7MN4GAHALlEkAALi4sQNT5Olh0/Nzs2UYhtVxAJfy9Ya9+vT4eNuwrm2sjgMAQLOgTAIAwMXFhwdoeNcYfbfjkJZtY3cS0FgOl1TqkU/XK9jXS89cy3gbAMB9UCYBAOAGxgxIkbenTc/P3cLuJKCRTPhigw4UV2jCkA6KCma8DQDgPiiTAABwA7Fh/rouK1ar849oYXah1XEApzdnw1599tNuDUqP1NAujLcBANwLZRIAAG5izIAU+Xh66AXeOwm4IIdLKvXnT9crxM+bq7cBANwSZRIAAG4iOsRPN1wcp7UFRZq/ab/VcQCn9fjnJ8bb2iuS8TYAgBuiTAIAwI3c2S9Zdi8PPT83W7W17E4CztX/1u/V52t2a1B6lH7TmfE2AIB7okwCAMCNRAb7amSPeG3cc1Rfb9xrdRzAqRwqqdSj/113fLwtg/E2AIDbokwCAMDN3NEvWX7ennph7lZ2JwHnoG68rVJPDOnAeBsAwK1RJgEA4GYiAu0a1TNBW/Yd06x1e6yOAziF2ev26Is1uzW4fZSu6dza6jgAAFiKMgkAADd0W58kBfh4asq8bNWwOwn4RQeLK/Tof9cr1N9bTzHeBgAAZRIAAO4oLMBHt/RO1PbCEn2+ZpfVcQCH9tjnG3Sw5Ph4WxDjbQAAUCYBAOCm/q93koLsXpo6b6uqa2qtjgM4pK/W7dGstXt0eYcoDenEeBsAABJlEgAAbivE31u3Xpqo3IOl+uRHdicBP3ewuEJ/+e96tfD31pO/yWS8DQCA4yiTAABwY7f0TlSIn7denL9VVexOAhp47LPj423XZKhlkN3qOAAAOAzKJAAA3Fiwr7du65OkgsNl+uiHAqvjAA5j1to9mrVuj67o0EpXd4y2Og4AAA6FMgkAADc3qmeCwgJ89NL8raqorrE6DmC5A8UV+stndeNtf/sNV28DAODnKJMAAHBzgXYv3d4nSbuLyvXhqp1WxwEs99hn63WopFJ/ZbwNAIDTokwCAAD6/SUJigi06+UF21Rexe4kuK8v1+7WV+v26srMVvo1420AAJwWZRIAAJCfj6f+2C9Z+45W6L2V+VbHASxReKzu6m1hAT766zWMtwEAcCaUSQAAQJJ048Vxigq269WF21VWye4kuBfDMPSX/67X4dIq/e2aDEUEMt4GAMCZUCYBAABJkq+3p+7qn6IDxRV6+9tcq+MAzeqLtXv0vw17dVVmtK5ivA0AgF9EmQQAAOr99qJYtQ7x1bRFOSqpqLY6DtAsCo9V6PHP1is8wEd/vaaD1XEAAHB4lEkAAKCe3ctTYwak6lBJpWYsz7U6DtDkDMPQo/9dVzfe9psMhTPeBgDAWVEmAQCABoZ3i1FMCz+9vjhHx8qrrI4DNKnP1+zWnA37dFXHaF2ZyXgbAABmUCYBAIAGfLw8NHZgqorKqvTG0lyr4wBNZv+xcj3++Ya68bYhjLcBAGAWZRIAADjFtV3aKD7cX/9cmqOiUnYnwfUYhqFHP12vI6VVepLxNgAAzgllEgAAOIWXp4fuGZiqY+XV+tfSHKvjAI3u8zW79fXGfbq6U2v9ivE2AADOCWUSAAA4rWs6t1FSywC9sSxXh0sqrY4DNJoT420RgT56gvE2AADOGWUSAAA4LU8Pm+4dlKbiimq9voTdSXANhmHoz/XjbZkKC/CxOhIAAE6HMgkAAJzRrzOjlRYVqBnLcnWguMLqOMAF++9PuzR34z4N6dRaV2S0sjoOAABOiTIJAACckYeHTeMGpamsqkbTF223Og5wQfYfLdeEzzcqItDOeBsAABeAMgkAAPyiyzu0Unp0sN5akaf9R8utjgOcF8Mw9Min61RUVqWnhmaoBeNtAACcN8okAADwizw8bBo/OE0V1bV6dSG7k+CcPv1xl+Zt2q9rOrfW5R0YbwMA4EJQJgEAgLMalB6pjjEheu+7fO0pKrM6DnBO9h0t14TPN6hlkF0Trma8DQCAC0WZBAAAzspms2nc4DRVVtfqlQXbrI4DmGYYhh75ZJ2Ollfr6aGZjLcBANAIKJMAAIAp/dJaqktcqD5YtVMFh0utjgOY8snqXZq/eb+Gdmmjwe2jrI4DAIBLoEwCAACm2Gw2/WlwW1XVGOxOglPYd7RcT3xRN972+NXtrY4DAIDLoEwCAACm9UoJV/eEMM38vkD5B9mdBMdlGIYePj7e9szQTIX6M94GAEBjoUwCAACmnXjvpOpaQy9+s9XqOMAZfbx6l77ZvF/XdmmjQYy3AQDQqCiTAADAObkkOVw9k8P1yeoC5RQWWx0HOMXeorqsd2N8AAAgAElEQVTxtsggux7n6m0AADQ6yiQAAHDOxg9OU60hvTif3UlwLHXjbWt1rLxaz1ybqRB/b6sjAQDgciiTAADAOctKCFOftJb6bM1ubd13zOo4QL2ZPxRowZZCXdu1jQamM94GAEBToEwCAADnZdygVBmGNIXdSXAQe4rK9LcvNioqmPE2AACaEmUSAAA4L13iWmhAu0jNWrtHm/cetToO3JxhGHro43U6VlGtidd2VIgf420AADQVyiQAAHDexg9OkyS9MDfb4iRwdzO/L9Ci7EIN7xaj/u0irY4DAIBLo0wCAADnLaNNiC5rH6U5G/Zp/a4iq+PATe0+Uqa/fblRrYJ99Zdft7c6DgAALo8yCQAAXJBx7E6ChQzD0EOf1I23PTMsk/E2AACaAWUSAAC4IOnRwboqM1rzN+/XTzuPWB0HbuaDVTu1OLtQI7rFqH9bxtsAAGgOlEkAAOCC3TsoVTYbu5PQvHYdKdOTszapVbCvHmW8DQCAZkOZBAAALlhqVJCGdGqtRdmF+iHvkNVx4Abqrt62VsWMtwEA0OwokwAAQKMYOzBVHjbpeXYnoRn8Z9VOLdl6QNdlMd4GAEBzo0wCAACNIrlloIZ2idGybQf1bc5Bq+PAhe06UqanZm1SdAjjbQAAWKFRy6TS0lL97ne/U0pKitLS0vTJJ5+c8djJkycrIyNDnTt3Vo8ePbRq1arGjAIAACwwdmCKPD1sen5utgzDsDoOXNDJ420Th3VUsC/jbQAANLdGLZMmT54su92ubdu2ac6cObrzzjt1+PDhU45bs2aNXnrpJX377bf66aefNGbMGN11112NGQUAAFggPjxAI7rF6Lsdh7R8O7uT0Pje/65uvO36i2LVN62l1XEAAHBLjVomffDBB/WlUGJiovr06aPPPvvstMdWVVWppKREknTkyBHFxMQ0ZhQAAGCRu/qnyNvTpr9/vYXdSWhUBYdL9dSsjWod4qs/X5VudRwAANyWV2N+sfz8fMXHx9f/OyEhQfn5+acc16lTJ40fP16JiYkKCwuT3W7X4sWLT/s1n3/+eT3//PP1/y4uLm7MyAAAoJHFhvnruqxYvbsyX4uyC9WPN0dGIzAMQw9+vFYllTV67aZuCmK8DQAAy5zTzqRLL71UERERp/1v586dkiSbzVZ//Jn+38i8vDx9/vnn2r59uwoKCjRu3DjdeOONpz12/PjxKigoqP8vMDDwXCIDAAALjBmQIh9PD947CY3m3ZX5WrbtoH7XPVZ9GG8DAMBS51QmLVmyRAcOHDjtf7GxsYqLi1Nubm798Xl5eYqLizvl68ycOVMZGRmKjo6WJN18881avHixampqLuy7AQAADiE6xE83XByntQVFmrdpv9Vx4OR2HirVM19tUptQPz1yJeNtAABYrVHfM2nEiBF65ZVXJEk7duzQokWLNGTIkFOOS0pK0tKlS+tH1r744gulp6fL09OzMeMAAAAL3dkvWXYvD70wN1u1texOwvmprf3/420Th2Uy3gYAgANo1PdMuv/++3XLLbcoJSVFHh4eeuWVVxQWFiZJeuyxx9S6dWvdcccdGjp0qFatWqWsrCzZ7XYFBQXpnXfeacwoAADAYpHBvhrZI17/XLpDX2/cqysyoq2OBCf07nf5Wr79oH7XPU6XpjLeBgCAI7AZTvZGBjExMSooKLA6BgAAMOFAcYUufXaB4sL8NfueS+XhYTv7jYDjdh4q1eVTFquFv4/+d++l7EoCAKAJnUvf0qhjbgAAACeLCLRrVM8Ebdl3TLPW7bE6DpxIba2hBz5aq9LKGj07rCNFEgAADoQyCQAANKnb+iQpwMdTU+Zlq4b3ToJJ767M04qcg7rx4jj1To2wOg4AADgJZRIAAGhSYQE+uqV3orYXlujzNbusjgMnkH+wVE9/tVltQv30MFdvAwDA4VAmAQCAJvd/vZMU5OulqfO2qrqm1uo4cGC1tYbu/2iNyqpq9Nzwjgq0N+r1YgAAQCOgTAIAAE0uxN9b/9c7SbkHS/XJj+xOwpm9/W2eVu44pJt6xKlnCuNtAAA4IsokAADQLG7unaAQP2+9OH+rqtidhNPIO1iiibM3K6aFnx7+FeNtAAA4KsokAADQLIJ9vXVbnyQVHC7TRz+Yu+ws3EfdeNtalVXVaNLwjgpgvA0AAIdFmQQAAJrN6J4JCgvw0Uvzt6qiusbqOHAgb63I1Xc7Dmlkj3j1TGa8DQAAR0aZBAAAmk2A3Ut39E3S7qJyfbhqp9Vx4CDyDpbo2f9tUWyYnx76VTur4wAAgLOgTAIAAM1qZI8ERQTa9fKCbSqvYneSu6utNXT/zOPjbcM6Md4GAIAToEwCAADNys/HU3/sl6x9Ryv03sp8q+PAYjOW5+q73EMadUm8LkkOtzoOAAAwgTIJAAA0uxsvjlNUsF2vLtyuskp2J7mrHQdKNGnOZsWF+etBxtsAAHAalEkAAKDZ+Xp76q7+KTpQXKG3v821Og4sUFtr6IGP1qi8qlaThneUvw/jbQAAOAvKJAAAYInfXhSr1iG+mrYoRyUV1VbHQTN7c3muVuUe1uieCeqRxHgbAADOhDIJAABYwu7lqTEDUnWopFIzludaHQfNaMeBEj03Z7Piw/31wBVtrY4DAADOEWUSAACwzIisGMWG+en1xTk6Vl5ldRw0g5paQ/fPPD7eNozxNgAAnBFlEgAAsIy3p4fuHpCqorIqvbE01+o4aAZvLtuh7/PqxtsuZrwNAACnRJkEAAAsdW2XNkoI99c/l+aoqJTdSa4sp7BYz83ZwngbAABOjjIJAABYysvTQ/cMStWx8mr9c2mO1XHQRGpqDd03c40qa2r13PBOjLcBAODEKJMAAIDlhnRqo+SWAXpj6Q4dLqm0Og6awBtLd2h1/hGN7pmg7olhVscBAAAXgDIJAABYztPDpnsHpamkskbTF7M7ydVsLyzW5K+3KCHcXw9c3s7qOAAA4AJRJgEAAIdwVWa02kYF6d/Lc3WguMLqOGgkJ67eVllTq8kjOsnPx9PqSAAA4AJRJgEAAIfg4WHTuMGpKquq0fRF262Og0byr6U5Wp1/RLf0SlRWAuNtAAC4AsokAADgMC5r30rto4P11oo87T9abnUcXKBt+4s1+etsJUYE6L7LuHobAACugjIJAAA4jLrdSWmqqK7VqwvZneTMamoN3f/RGlXV1Oq54R0ZbwMAwIVQJgEAAIcyKD1SHWNC9N7KfO0pKrM6Ds7TP5fk6Mf8I7qV8TYAAFwOZRIAAHAoNlvd7qTKmlq9smCb1XFwHrbtP6a/z81WUkSA7ruc8TYAAFwNZRIAAHA4/dJaqmtcqD5YtVMFh0utjoNzUF1Tqz/NXFs33jaio3y9GW8DAMDVUCYBAACHY7PZNH5wW1XVGHr5G3YnOZN/LNmhNTuP6P96J6pbPONtAAC4IsokAADgkHqlhKt7Yphm/lCgvIMlVseBCVv3HdMLc7OV1DJAf+LqbQAAuCzKJAAA4JDqdielqabW0Ivz2Z3k6KpranXfzDWqrq3V5BGdGG8DAMCFUSYBAACH1SMpXL1SwvXpjwXKKSy2Og5+wetLcrSmoEh/uDRJXeNaWB0HAAA0IcokAADg0MYNSlOtIU2dv9XqKDiD7H3HNGXuViW3DNC4wWlWxwEAAE2MMgkAADi0rIQw9Ulrqc/X7NbWfcesjoOfYbwNAAD3Q5kEAAAc3vjBaTIMaco8dic5mumLc7S2oEh/6JOkLoy3AQDgFiiTAACAw+scG6qB7SI1a90ebdpz1Oo4OG7L3mOaOm+rUiIDNW4Q420AALgLyiQAAOAUTrwXz5R52RYngSRVMd4GAIDbokwCAABOIaNNiC7vEKU5G/Zp/a4iq+O4vemLtmvdriLd1idZnWNDrY4DAACaEWUSAABwGid2J70wl91JVtq896imzt+q1MhA3Tso1eo4AACgmVEmAQAAp9GuVbCu6hit+Zv368f8w1bHcUsnxttqDTHeBgCAm6JMAgAATuXegamy2aQXuLKbJaYt3K71u47q9j5J6sR4GwAAbokyCQAAOJXUqCBd06m1FmcX6vvcQ1bHcSub9hzVi99sVVpUoO5hvA0AALdFmQQAAJzO2IGp8rBJz/PeSc3m5+Ntdi/G2wAAcFeUSQAAwOkktQzUtV1jtHz7Qa3YftDqOG7htYXbtWH3Ud3RN0kdYxhvAwDAnVEmAQAApzR2QKq8PGx6YW62DMOwOo5L27TnqF76ZqvaRgVp7EDG2wAAcHeUSQAAwCnFhftrRFaMvss9pGXb2J3UVKpqavWnDxlvAwAA/x9lEgAAcFp39U+Rt6dNf5+7hd1JTeSVBdu0cc9R/bFvsjJjQqyOAwAAHABlEgAAcFoxLfz124ti9WP+ES3MLrQ6jsvZsLtIL3+zTW2jgnT3wBSr4wAAAAdBmQQAAJzaXf1T5OPlwXsnNbLK6lrdN3OtDDHeBgAAGqJMAgAATi06xE83dI/T2oIizdu03+o4LuOVBdu0ac9R3dWP8TYAANAQZRIAAHB6d/ZPlq+3h56fm63aWnYnXagNu4v0yoJtatcqSGMGcPU2AADQEGUSAABwepFBvhrZI16b9hzVnA17rY7j1Cqr667eJtWNt/l4cboIAAAa4uwAAAC4hDv6Jsvfx1MvzGN30oV4ecE2bd57THf2T1FGG8bbAADAqSiTAACASwgPtGtUzwRl7yvWl+v2WB3HKa3fVaRXF2xTenSwxvTn6m0AAOD0KJMAAIDLuO3SJAXavTRlXrZq2J10Tuqu3nZivK0j420AAOCMOEsAAAAuo0WAj27plaCcwhJ99tMuq+M4lZe/2arNe4/prv4p6tCa8TYAAHBmlEkAAMCl3No7SUG+Xpo6f6uqa2qtjuMU1hUU6ZWF25UeHay7GG8DAABnQZkEAABcSoi/t/5waZLyDpbqk9XsTjqbiuoa3TdzjWxivA0AAJjD2QIAAHA5N/dKUKi/t178Zqsqq9md9Etemr9NW/Yd05gBjLcBAABzKJMAAIDLCfL11m19klRwuEwf/VBgdRyHtbbgiF5btF3tGW8DAADngDIJAAC4pFGXJCg8wEcvf7NVFdU1VsdxOCfG2zxs0t+v6yRvT04LAQCAOZw1AAAAlxRg99IdfZO1u6hcH6zaaXUch/Pi/K3K3lesuwekKj062Oo4AADAiVAmAQAAl3VTj3hFBNr18jfbVF7F7qQT1hYc0bRFOcpoE6w/9ku2Og4AAHAylEkAAMBl+fl46s5+ydp/rELvrsy3Oo5DOHm8bfIIxtsAAMC54+wBAAC4tBsujlNUsF2vLdym0spqq+NYbuq8uvG2sQNS1a4V420AAODcUSYBAACX5uvtqTH9U3SguFJvr8izOo6lftp5RNMWbVdGm2DdwXgbAAA4T5RJAADA5V13UazahPpp2qLtKq5wz91J5VV1422eHjbG2wAAwAXhLAIAALg8u5enxgxI0eHSKv17ea7VcSwxZd5WbdtfrHsGMt4GAAAuDGUSAABwC8O7xSg2zE+vL87R0fIqq+M0qx/zD+v1xduV2SZEd/RlvA0AAFwYyiQAAOAWvD09NHZAqorKqvTG0h1Wx2k2J8bbvDw89PfrOsmL8TYAAHCBOJsAAABuY2iXNkqMCNC/luxQUal77E56YV62theW6J5BqUqLCrI6DgAAcAGUSQAAwG14eXronoGpOlZRrX8uzbE6TpNbnX9Y/1ico04xIbq9T5LVcQAAgIugTAIAAG7l6k6tldwyQG8s3aFDJZVWx2ky5VU1uv/4eNvkEYy3AQCAxsNZBQAAcCueHjbdOyhNJZU1en2x6+5OemFu3XjbvYNTlcp4GwAAaESUSQAAwO1clRmttlFB+vfyXBUeq7A6TqP7Ie+w/rEkR51iQ3XbpYy3AQCAxkWZBAAA3I6Hh03jBqeqrKpG0xdttzpOo2ow3ja8I+NtAACg0XF2AQAA3NLlHVqpQ+tgvf1tnvYdLbc6TqP5+9dblHOgROMGpzHeBgAAmgRlEgAAcEs2m03jBqWporpWry10jd1JP+Qd0j+X7lCn2FD94dJ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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10d10fb38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10d1837f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10d1aae10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1510cb9d68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Save perturbation coordinates in list\n",
    "adjVector = []\n",
    "\n",
    "# Loop over all primal basis functions (nodes for FE).\n",
    "for i in range(0, nr_nodes):\n",
    "    # Create topology and geometry\n",
    "    lower, upper, elems, node_nr = support(i, primalDegree, primalNelems, lbound, primalspan)\n",
    "    print(lower, upper, elems, node_nr)\n",
    "    localPrimalDomain, localGeom = mesh.rectilinear([numpy.linspace(lower, upper, elems+1)]*ndims)\n",
    "    # Important step to restrict refinement to adjoint domain only\n",
    "    #localDomain = localPrimalDomain\n",
    "    localDomain = deepcopy(localPrimalDomain)\n",
    "    #localDomain, junk = mesh.rectilinear([numpy.linspace(lower, upper, elems+1)]*ndims)\n",
    "    for k in range(0, adjointNelems -1):\n",
    "        tempDomain = localDomain\n",
    "        localDomain = tempDomain.refined\n",
    "    print('Number of refinement steps: %s' % (localDomain.nrefine))\n",
    "    \n",
    "    # Put geometry in namespace\n",
    "    ns.x = localGeom\n",
    "    # Create local bases\n",
    "    #     Primal\n",
    "    ns.primalBasis = localPrimalDomain.basis('lagrange', degree=primalDegree)                 # corresponds to phi\n",
    "    #     Adjoint\n",
    "    ns.adjointBasis = localDomain.basis(adjointType, degree=(primalDegree*adjointDegree)) # corresponds to psi\n",
    "    \n",
    "    # Build adjoint solution function\n",
    "    ns.uAdj = 'adjointBasis_n ?lhsAdj_n'\n",
    "    \n",
    "    # Format primal basis function string (pbs) for integral expressions\n",
    "    #     without derivative\n",
    "    pbs    = 'primalBasis_%s'   % (node_nr)\n",
    "    print('PBS is %s' % pbs)\n",
    "    pbsDer = 'primalBasis_%s,0' % (node_nr)\n",
    "    print('PBS is %s' % pbsDer)\n",
    "    \n",
    "    \n",
    "    \n",
    "    ####################################################################\n",
    "    ###################### construct residual ##########################\n",
    "    #-------------------------------------------------------------------\n",
    "    # Element integrals\n",
    "    # Diffusive part and RHS\n",
    "    resAdj = localDomain.integral('k adjointBasis_n,0 uAdj_,0' @ ns, geometry=ns.x, degree=primalDegree*adjointDegree*2)\n",
    "    # Advective part perturbation\n",
    "    resAdj += localDomain.integral('-v adjointBasis_n,0 uAdj' @ ns, geometry=ns.x, degree=primalDegree*adjointDegree*2)\n",
    "    # Advective part primal basis\n",
    "    resAdj += localDomain.integral('-v adjointBasis_n,0 %s' % (pbs) @ ns, geometry=ns.x, degree=primalDegree*adjointDegree*2)\n",
    "    # SUPG stabilized part (will be added later)\n",
    "    # TODO: Check correctness of the SUPG part\n",
    "    resAdj += localDomain.integral(' tau v adjointBasis_n,0 (k (uAdj_,0)_,0 + v (uAdj_,0 + %s) )' % (pbsDer) @ ns, geometry=ns.x, degree=primalDegree*adjointDegree*2)\n",
    "    \n",
    "    # Interface integrals\n",
    "    if (adjointNelems > 1) or (elems > 1):\n",
    "        # Diffusive part\n",
    "        #    part one                      |\n",
    "        #                                  v  minus might be necessary here because of jump definitions (likewise on second +)\n",
    "        resAdj += localDomain.interfaces.integral(' [adjointBasis_n] n_0 k {uAdj_,0} + beta k {adjointBasis_n,0} [uAdj] n_0' @ ns, geometry=ns.x, degree=primalDegree*adjointDegree*2)\n",
    "        #    part two (stabilized)\n",
    "        resAdj += localDomain.interfaces.integral(' tauA [adjointBasis_n] n_0 [uAdj] n_0' @ ns, geometry=ns.x, degree=primalDegree*adjointDegree*2)\n",
    "        # Advective part perturbation\n",
    "        resAdj += localDomain.interfaces.integral('- v [adjointBasis_n] n_0 ({uAdj} - .5 C [uAdj] n_0)' @ ns, geometry=ns.x, degree=primalDegree*adjointDegree*2)\n",
    "        # Advective part primal basis\n",
    "        resAdj += localDomain.interfaces.integral('- v [adjointBasis_n] n_0 ({%s} - .5 C [%s] n_0)' % (pbs, pbs) @ ns, geometry=ns.x, degree=primalDegree*adjointDegree*2)\n",
    "    else:\n",
    "        # No interface integrals\n",
    "        pass\n",
    "        \n",
    "\n",
    "    # Boundary integrals LHS\n",
    "    #    part one\n",
    "    resAdj += localDomain.boundary.integral('- k uAdj_,0 adjointBasis_n + beta k uAdj adjointBasis_n,0 ' @ ns, geometry=ns.x, degree=primalDegree*adjointDegree*2)\n",
    "    #    part two (stabilized)\n",
    "    resAdj += localDomain.boundary['left'].integral(' tauZero uAdj adjointBasis_n ' @ ns, geometry=ns.x, degree=primalDegree*adjointDegree*2)\n",
    "    resAdj += localDomain.boundary['right'].integral(' tauN uAdj adjointBasis_n ' @ ns, geometry=ns.x, degree=primalDegree*adjointDegree*2)\n",
    "\n",
    "    # Boundary integrals RHS (weakly imposed boundary conditions) (including stabilization)\n",
    "    # Diffusive part (keep an eye on the signs)\n",
    "    resAdj -= localDomain.boundary['left'].integral(' ( beta k adjointBasis_n,0 + tauZero adjointBasis_n) gl ' @ ns, geometry=ns.x, degree=primalDegree*adjointDegree*2)\n",
    "    resAdj -= localDomain.boundary['right'].integral(' ( beta k adjointBasis_n,0 + tauN adjointBasis_n) gr ' @ ns, geometry=ns.x, degree=primalDegree*adjointDegree*2)\n",
    "    # Advective part perturbation\n",
    "    resAdj += localDomain.boundary['left'].integral('v lstab adjointBasis_n n_0 (0.5 (gl + uAdj) - .5 C (gl - uAdj) n_0)' @ ns, geometry=ns.x, degree=primalDegree*adjointDegree*2)\n",
    "    resAdj += localDomain.boundary['right'].integral('v rstab adjointBasis_n n_0 (0.5 (gr + uAdj) - .5 C (gr - uAdj) n_0)' @ ns, geometry=ns.x, degree=primalDegree*adjointDegree*2)\n",
    "    # Advective part primal basis\n",
    "    resAdj += localDomain.boundary['left'].integral('v stab adjointBasis_n n_0 (0.5 (gl + %s) - .5 C (gl - %s) n_0)' % (pbs, pbs) @ ns, geometry=ns.x, degree=primalDegree*adjointDegree*2)\n",
    "    resAdj += localDomain.boundary['right'].integral('v stab adjointBasis_n n_0 (0.5 (gr + %s) - .5 C (gr - %s) n_0)' % (pbs, pbs) @ ns, geometry=ns.x, degree=primalDegree*adjointDegree*2)\n",
    "    #-------------------------------------------------------------------\n",
    "    ###################### construct residual ##########################\n",
    "    ####################################################################\n",
    "    \n",
    "    \n",
    "    \n",
    "    ###################################################################\n",
    "    ######################### Solve system ############################\n",
    "    #------------------------------------------------------------------\n",
    "    # find lhs such that res == 0 and substitute this lhs in the namespace\n",
    "    # lhs = solver.solve_linear('lhs', res, constrain=cons)\n",
    "    lhsAdj = solver.solve_linear('lhsAdj', resAdj)\n",
    "    print(lhsAdj.shape)\n",
    "    ns = ns(lhsAdj=lhsAdj)\n",
    "    adjVector.append(lhsAdj)\n",
    "    #------------------------------------------------------------------\n",
    "    ######################### Solve system ############################\n",
    "    ###################################################################\n",
    "    \n",
    "    \n",
    "    ###################################################################\n",
    "    ######################## Plot Results #############################\n",
    "    #------------------------------------------------------------------\n",
    "    ns.testPlot = '%s' % pbs\n",
    "    \n",
    "    # primal basis function\n",
    "    plt.figure()\n",
    "    bezier = localDomain.sample('bezier', 9)\n",
    "    x, testPlot = bezier.eval([ns.x, ns.testPlot])\n",
    "    #x, testPlot = bezier.eval([ns.x, ns.testPlot])\n",
    "    fig=plt.figure(figsize=(18, 16), dpi= 80, facecolor='w', edgecolor='k')\n",
    "    primalText = 'The figure above shows the primal Basis function: %s' % (pbs)\n",
    "    fig.text(.1,.05, primalText, fontsize=20)\n",
    "    #print('The following figure shows the primal Basis function: %s' % (pbs))\n",
    "    plt.plot(x, testPlot)\n",
    "    \n",
    "    # perturbation\n",
    "    #pltr.figure()\n",
    "    bezier = localDomain.sample('bezier', 9)\n",
    "    x, uAdj = bezier.eval([ns.x, ns.uAdj])\n",
    "    #x, testPlot = bezier.eval([ns.x, ns.testPlot])\n",
    "    fig=plt.figure(figsize=(18, 16), dpi= 80, facecolor='w', edgecolor='k')\n",
    "    adjointText = 'The figure above shows the respective perturbation function.'\n",
    "    fig.text(.1,.05, adjointText, fontsize=20)\n",
    "    plt.plot(x, uAdj)\n",
    "    #------------------------------------------------------------------\n",
    "    ######################## Plot Results #############################\n",
    "    ###################################################################\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "None 4\n",
      "0 8\n",
      "4 8\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/rene/Box Sync/nutils/nutils/warnings.py:30: NutilsWarning: using explicit inflation; this is usually a bug.\n",
      "  warnings.warn(message, category, stacklevel=stacklevel)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x151c6a3828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x151c655588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x151e245f28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x151cb8def0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x151d37ae10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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9evWs+W+++abbe3H22ZkzZ1rT1q1b51Jf8Z927dpZ21u0aJHLtsrSr5YsWWJCQkKsZdLS0kydOnWMJDNlyhRb3y0Xy8jI8Hr8NsaYWbNmGUkmKirKbd4777xjfc8kJCSY9PR007BhQ6tv3nrrrS6fqzGXfgzwdrxftWqV1RYRERGmVatWJiUlxURERBhJpm/fvrbe/8CBA03Hjh2ttiv++X366afGGM+fe3He9kPn9PHjx5vmzZsbf39/k5qa6rIf3nvvvR63OXv2bOs7KSQkxLRp08Y0a9bMBAUFudTy7LPPev2O7tixo7W9kr5XP/roI2u7kZGRJi0tzdSuXdv6jvzb3/7mto6zTSZOnGjq1KljgoODTZs2bVz60DPPPFP6BwAAAHAVqpQwKSAgwNSrV8+sWrXKmpeVlWWdwL322msu6+Xn55tGjRoZSeahhx4yx48ft+Zt2bLFJCcnG0nmL3/5i+2ad+/ebSSZhIQEj/O9/SK9atUqU61aNeNwOMxrr71mBVgnT540d911lwkICKiQMMnPz89ER0ebr7/+2pp3+vRp6/8HDRpkJJmbbrrJ7Nq1y5p+5MgR079/fytwuxSZmZnmhx9+cJl26tQpKzDr0qWL2zrOX8b9/f1N165dTW5urjXv/ffft9rn4tDjP//5j7Xe7NmzrenHjx83/fr1M5JMYmKiOXXqlDVv7ty5RpLp0KGDx/qdJ4zdunVzmf76668bSaZBgwYuJ8OFhYXmmWeescKs4u1bkrFjx1qf7YkTJ1zmfffddyYzM9NlmnNfCAgIMNdee63Jysqy5q1YscI6+Z4/f77LeuvXr7dCkylTplgntGfOnDFjxoyxTkD3799vrbNmzRojybRt29ZlW86TdGdAWzw0ysnJcQuZ1q5da03bunWry7aOHz9upk+fbnJycmy1lzHGfPrpp2blypVuAfDSpUtN3bp1jZ+fn9m5c6fLvLIeP0py8uRJEx8fbySZO+64w/z000/WvFmzZllBmfME3Ml5fPD39zctWrQwu3fvtuYtWbLEOvm/+JjkrZ972ra3MCkgIMC0aNHC5TNz9oWQkBDTo0cP07VrV5fw2Nln69atawoLC122W1qocLFRo0YZSaZNmzYu/bEs/So/P9/63O6++25z8uRJY4wx58+fNy+99JJ1vCiPMKmoqMgcPHjQzJkzxwp+XnrpJbd1N27caD755BO3UHLXrl1WYD9r1iyXeZd6DPC2H/ziF78w0oUwvqCgwGXemjVrzJw5c+w2gTHGlNh2lxsmBQQEmM6dO7t8R3z88cdWn/nuu+/c6nd+no888ojJz8+35p09e9bMnTvXfPXVV9a00r6jjfH+vfrDDz9Yx9Fx48ZZbXn+/HmrLwQEBJiNGzd6bJOAgAAzcOBAc/ToUWveq6++aqQLoX3x6QAAALigUsIkSebDDz90mz9t2jQjyfTp08fj9H79+nnc7saNG43D4TANGza0XXNZwyRnaOPpL69nz541jRs3rpAwyVubGXPh/TvfS/GTYaeTJ0+auLg443A4THZ2tsdtXKpOnToZSWbfvn0u052/jAcFBbldDWSMMQ8//LCRLlxpVZzzr+jjxo3zWL/z5G/GjBku06tXr24kuZzMO/Xs2dNtnYKCAlOnTh3j5+dnXYV2MecVOG+//XaJbXDx61x8YuKNc19wOBxuV1sZ8782euihh1ymDxkyxOvVCUVFRVaoWvxKmsLCQlOjRg3j5+fnEsLeeuutplq1aubll192O6F0XpkxdOhQa5ozrPj1r39t6z1ejjfeeMNIMs8++6zL9LIeP0oyffp0I8nExMR4DA+dId0NN9zgMt15fJBkvvnmG6+1JCYmugRm5REmORwOj/tuhw4drEDp4hC4sLDQCg4vXvdSwiTnCXV0dLRLeFjWfuX8rOvXr2/Onj3rtk6fPn0uK0zy9pOUlGTmzp17Sds0xpidO3cayf3KwUs9BnjbD5KSkowkl756OSoyTAoJCTF79+51W8/5x4uXX37ZZfott9xiJJkRI0bYqv1ywqQ//vGPRpJJTU31uJ6zlrvuustlurNN6tSp4xJ2ObVp08ZIMv/85z9tvQcAAICrSaWMmVSzZk3179/fbXp6erqkC+OpFPfPf/5TknTvvfd63F7Lli2VmJio77//Xvv27Svnal198cUXkqR77rnHbV5AQICGDh1aIa8bERGhvn37epz3r3/9S5J0xx13qEaNGm7zQ0ND1a1bNxlj9NVXX13S665du1aPPfaY+vTpo4yMDHXq1EmdOnXS9u3bJV0Y68ST/v37q06dOm7Tx4wZI0lavny5NS5Qfn6+VqxYIUl68MEHPdZ/3333SZI+//xzl+nONrl4TJK8vDx9+eWXCgoKcnkk9ooVK/Tjjz+qTZs2at26tcfa+/TpI+nCuDZ2xMXFSZI++OADGWNsrSNJqampHp8k6K0fON+7pzZyOBx66KGHXJaTJD8/P3Xs2FHnz5/X8uXLJV0Yr2z58uVq2bKlbrvtNkmu73Xp0qWSpM6dO7u9xy+//FJHjhyx/R5LkpeXp6lTp2rw4MHq1q2btW+98sorkqSNGzd6XO9Sjx8lcbbVfffdp+DgYLf548aNk3RhnCpP41h16NBBbdq0cZs+YsQIBQcHKzs7W1lZWbbrsaN169Ye993U1FRJ0s0336x69eq5zPPz81PLli0lXVr7FPfVV19p3LhxCggI0IcffmjtE1LZ+9Vnn30mSRo5cqQCAgLc1nEeL8oqLi5OHTt2tH6c4+1lZWXptdde8zr2W0FBgf7+97/rvvvuU8+ePXXDDTeoU6dOGjZsmCT3fbOsxwBP9UoXxuSr6nr16qXY2Fi36Z764enTp/Xf//5XkvTII49UeG3Ofu3tqYjOfl38WFncnXfeqbCwMLfpZTnGAAAAXC38K+NFGjVq5HF6dHS0pAvhQnHffvutJOnJJ5/Uc88953HdQ4cOSZJ++OEHj7/gloejR49ar+M8MbuYt+mXq0mTJvLz8/M4z9k+//rXv/T11197XGbPnj2SLrSPHcYYjR07Vq+++mqJy3kLFpo3b+5xunNw2oKCAu3atUstW7bUzp07VVRUpKCgIDVs2NDjesnJyZJkhVhOgwcP1pw5czR37lw99thj1vT3339fhYWF+sUvfqGIiAhrurOtsrOz1alTJ4+v5RxI2m5bPfDAA3rrrbf09NNP6+2331avXr10ww03qGvXrm4n9cVdSj84duyYNbj0tdde63E9b23UuXNnLViwQEuWLNHNN9+sjRs36tixY8rIyFCDBg0UFxfncoLv/P+MjAxrWocOHdS+fXutWrVKcXFx6t69uzp37qyMjAy1adPGZVBcOz7//HPdcccdOn78uNdlvO1bl3r8KImzrby1aZMmTRQYGKizZ89a+2tx3vbzsLAwxcXFaceOHdq+fbuaNWtmu6bSeHv/tWvXtjX/UtrHKScnRwMGDNC5c+eUmZnp1nfK2q+c7e+tHb1Nt2vEiBFuA0ifPn1akyZN0gsvvKAbbrhBW7dudQkOcnJy1KNHjxJDwIv3zbIeAy42fvx4ffHFF7rvvvv00ksvqWfPnurUqZO6du2qa665xvZ2KsOl9MOdO3fq3LlzioyMVFJSUoXXVlq/dh4rDx48qJ9++knh4eEu88vzGAMAAHC1qJQwydNf/CSpWrULF0Zd/Jdd5wnnN998U+q2nY9CrgjOKxMcDoeqV6/ucRlPVwaVB29tJv2vfXbu3KmdO3eWuB277fPOO+/o1VdfVVhYmP7v//5P3bt3V/369a1HTA8dOlRz5szRuXPnPK7v/KX7Yg6HQ7Vr19a+fft04sQJSf/7xbx27dpeQ4mYmBhJstZx6tGjh6KiorRp0yZt3brVOnmYO3eupAthU3HOtsrLyyv1yV922yo1NVVLly7VhAkTtHDhQmVmZiozM1MOh0Pdu3fXK6+84vGk+FL6QfGTF29t662NnKGQMyS6OCzq3Lmz5syZo7179yogIEDbt29XnTp11LRpU5ea5s+fr0mTJmn27Nn66KOP9NFHH0m68GSsiRMnen2i0sWOHTumQYMG6fjx47r77rs1ZswYJSUlKTw8XNWqVdMXX3yh7t27e923LvX4URJnu5a2v/7www9u7VrSetKFz2PHjh0e17scoaGhHqc7+05p8y/1yplTp07ptttuU15enkaPHq3777/fbZmy9qvifd8T5z5dnkJCQjR58mQtXLhQa9as0fTp0zV+/Hhr/vDhw5WVlaX27dtr0qRJSk1NVa1atRQQEKDCwkLrv8WV9RhwsVtvvVXz5s3Ts88+q5UrV2rbtm2aOnWq/P391a9fP/3pT39S/fr1y71NyuJS+qHzaaKRkZEVX5hK79fF96sTJ064hUnleYwBAAC4WlTKbW6Xyhnc7NixQ+bCuE5efzw9arm8OH/BNMZ4fXS7txPH0k7kSnoUfGmc7TN9+vRS2+fiv9J7M2fOHEnSSy+9pNGjR1uPcXbau3dviet7O6E0xljznMGbs/68vDyv7XPw4EGXdZz8/f01cOBASf8LkPbu3avly5erRo0a+sUvfuGyvPO1hgwZUmpbeXrsuTfXXXedPvvsMx09elQLFizQo48+qtjYWH3++efq3r27dVVGWRUPL3Nzcz0u462N0tPTFRISorVr1+rkyZPWY+lvuOEGSa5hk6erkpxq1qypV155RXl5eVq/fr2mTp2qrl27as+ePbrnnnv0wQcf2Hov8+fP19GjR9WhQwfNmjVL7du3V2RkpHWiVtq+VZ6c7eqtTT3tr8WVFJw4t1lRAXNlGTlypNavX6+MjAxNnTrV4zJl7VfF+74n3j6X8nDddddJklavXm1N279/vxYtWqTQ0FB9+umn6tmzp2JiYqxb8EraN8vrGHDLLbdo+fLlysvL07///W89+OCDioyM1Pvvv6/evXt7DVkvVUV+J13M2Qcu9zhoV2n92nmslK78/gkAAFBVVMkwyXm1yebNm31aR82aNRUVFSXJ+1hBzts9LuYMorydNJV2RVFJKqJ9srOzJUnXX3+927xz587pu+++K3F9b/N3796tgoICVatWzbqVoHHjxqpWrZoKCgq8jkWxZcsWSXK5WsbJefWRM0yaO3eujDG67bbbXAIwqeL3perVq6tnz56aPHmytm3bpkaNGumHH37Q/PnzL2u7kZGR1tUbW7du9biMtzYKCAhQhw4dVFhYqK+//lrLli1TcnKytS87g6PFixd7HC/pYg6HQ6mpqXrooYe0cOFC6/bC6dOn23ovzn2rQ4cOHq9E8zZWUkVwtpW3Nt2xY4fOnj0rPz8/j7e+eNvPT506ZY3HU/zzuNTbAX3t+eef1z/+8Q8lJCTo/fff9ziukVT2fuVsm23btnmcX9px5nIUFRVJcr1lzXk7cLNmzVSrVi23dezsm+V1DKhVq5b69u2radOmafPmzYqIiND69eu1du3aS9qONxX5nXQx5+2ix44dsz2G2OX0ldL6tfNYGRMT43ZVEgAAAMqmSoZJzsF2p02b5vPLy7t37y5JmjVrltu8wsJC64qeiznHAtqwYYPbLRJFRUWaOXNmmWvq16+fJGn27Nk6fPhwmbdTnDOEKf4XXKeZM2eWeivLhx9+6HFd5xhMHTt2tE5mqlevboVWf/7zn93WOX36tN544w1JUs+ePd3md+rUSfHx8dq1a5dWr15thUp33nmn27I33HCDoqKitHHjxku68qgsQkND1aJFC0kXrni4XM737qmNjDHWdE9t5AyH/vrXv+rQoUMuVx41bdpUderUKfXKJG+cV3jYfY8l7VuHDx/WjBkzbL/25XK21fTp03XmzBm3+dOmTZPkur8W9/XXX2vDhg1u0998802dOXNGCQkJLmPEON97Rd6OW14+/fRTPf744woNDdVHH33k9VY0qez9qkePHpKkGTNmeLziprQx28rKGGMN+l98nDbn55Obm+vxu2bKlCmX9DrldQyIiYlRgwYNLns7xTnf95o1a9zm7du3zxocvTyEhIRYn/WLL75oex2pbH3F2a//8pe/eJzv7NeejpUAAAAomyoZJo0aNUoNGzbUokWLNGTIEB04cMBlfn5+vt577z09/PDDFV7L+PHj5XA49MYbb7hciXH69Gndd9992r17t8f1WrVqpXr16unAgQOaMGGCdaJy5swZjR8/3utfUO1IS0vTHXfcocOHD6t79+5av369y/zz589r8eLFGjJkiAoKCmxt0zmI7uOPP+4SHC1YsEC/+93vPD756uLXHDJkiDVguXRhgHBn4PG73/3OZflHH31U0oWTx7///e/W9BMnTujuu+9WXl6eEhMTNWjQILfXcjgc1vSJEydqw4YNioqKsoK/4oKDg/XUU09Jkm6//Xb961//cjtp3Lx5sx599FHr6WelGT16tN59912dOnXKZfrSpUv15ZdfSpLHJ35dqt/85jfy9/fXRx99pJdeesm6suLs2bMaN26cdfXC6NGj3dZ1hkMff/yxy7+dOnfurJ07d2rLli2KiopyG7h2zpw5evrpp62ripwOHz5snZjZfY/O2+vee+896+mIknTgwAENGDDALWytSHfeeafi4+N18OBBDR8+3GVsqtmzZyszM1OSXAZ3L87f31/Dhw+3rmiRpGXLlunJJ5+UJP32t791ucLCGQhs3bq11EDWl7KysjR48GAr6G7VqlWJy5e1X915552qX7++9u3bp1GjRlnBgTFGU6dO1aefflrO7+zCsfqRRx7RunXrJMnlCZzJycmqWbOm9u3bp2effdblOD1u3Di3Y6tTeR0DBg0apHnz5uns2bMu0z/44AN9++23cjgcXp+Wd6luvvlmSdK///1vl3Y+cOCAhgwZUu79cMKECQoICNAbb7yhP/zhDy5tde7cOb377rtatmyZNa127dqqUaOGcnNzL/kKtdGjRys8PFwbNmzQr3/9a6s9i4qKNGXKFM2bN08BAQH6zW9+Uz5vDgAAAJIpg0WLFhlJprTVnctlZGR4nL97924jySQkJLjN++6770yDBg2MJFOtWjXTvHlz0759e9O0aVPj5+dnJJn27dvbrrmk1zLGmAkTJhhJZsKECW7zJk2aZL3f+vXrm/T0dBMeHm6CgoLMs88+aySZG2+80W29d955x1qvdu3aJi0tzYSHh5vq1aubF1980WPblNZmTidOnDDdu3e3th8fH2/at29vWrRoYUJCQqzpp0+fttU+e/bsMbVq1TKSTEhIiElNTTWJiYlGkunatasZMmSIkWRmzpzpst6wYcOMJPP73//eREREmODgYNO2bVtrXUlmzJgxHl/zscces5aJi4szaWlpJiwszEgyNWvWNKtXr/Za74YNG6x1JZnRo0eX+P6Kv1atWrVMenq6adOmjfWeJZn58+fbaqtWrVoZScbf3980b97ctGvXziQkJFjbGTp0qMvyM2fONJLMsGHDPG6vpM/81VdfNQ6Hw0gyMTExJj093URGRhpJJigoyHzyyScet3n69GkTGBho1fTjjz+6zP/rX/9qzevfv7/b+n/605/c9vmUlBRrm/Xr1zd79uyx1V7GGDNw4EBre40bNzapqanG39/f1KhRw7zyyitl6gul9WlvVq5caSIiIowkExYWZtLS0kxcXJxV3+OPP+62jvP48MADD5i4uDjj7+9vUlNTTVJSkrVe7969zfnz593WvfHGG40kU6NGDdO+fXuTkZFhfvnLX7pt++JjT2n7TUnHLGP+1ze99dni053bCg0NNR07dvT6s27dOpdtlaVfLVy40AQFBRlJJjw83KSnp5s6deoYSWbKlCm2vlsulpGRYR1HitebkpJiQkNDrW0+/fTTbuv+5S9/sebXqVPHOk47HA4zffp0j/Vc6jHA277s3A+DgoJMSkqKSU9PN3Xr1rW288QTT1xSO5TWdiNHjrSWadCggdUPmzVrZsaNG+dxfyptPytpP33nnXdMQECAtW+1adPGNG/e3AQHB3vcN0eMGGEkmeDgYJOWlmYyMjJc2qyk1/roo4+s41PNmjVNenq6iY6Otn6HyMzMdFvHWx+x+94BAACuZlXyyiTpwhgWGzdu1OTJk5Wenq4ffvhBGzZs0NmzZ5WRkaEXX3xR//jHPyqllieffFLvvvuu2rVrpyNHjmjnzp3q1KmTli1bZv0F39OgnkOHDtV7772ntm3b6sSJE/r+++910003adWqVWrbtu1l1VS9enUtWLBAc+bMUc+ePXXq1CmtW7dOhw4dUsuWLfXoo49q9erVpV5R5BQfH68VK1aof//+CgwM1LZt2xQcHKxJkyZpwYIF8vcv+cF/TZs21erVq9W7d2/l5OTowIEDatWqlf72t795vfXg+eef13/+8x91795d+fn52rRpk6KiovSrX/1KGzduVHp6utfXa9WqlcvVNBc/xc3Tay1fvlyDBw9WWFiYNm7cqOzsbMXGxmrEiBGaN2+ebrrpphK34fSnP/1J48aNU8uWLXXo0CHrtqeePXvq448/1ttvv21rO3aMHj1aX331lW677TYVFRVpw4YNCg0N1dChQ7Vu3TrdeuutHtcLDg5Wu3btJF3oSxc/Jav4lUqexksaMGCAXnjhBXXv3l1+fn769ttvdeDAAaWkpOiZZ57R5s2bFR8fb/t9zJkzR0888YQSExO1Z88e/fjjjxo4cKDWrFlT6lUw5a19+/bauHGjRo0aZT0ZMD8/Xz169NC8efP09NNPe103KipKq1ev1t13362DBw9q9+7dSkpK0gsvvKB//vOf1qDixf3973/X8OHDFR4erm+++UZLlizRypUrK/ItltmpU6e0fPlyrz/Op7g5laVfde3aVStXrlTv3r3lcDi0detWxcXFae7cuW5XMF4q52D8zp/t27frmmuu0S9/+UstXbpUjz/+uNs6DzzwgGbPnq3U1FTr+J6WlqZPP/1U9957r8fXKa9jwFtvvaX7779fTZo00f79+7Vp0yaFhoaqX79+WrJkiXX1V3l5/fXX9dRTT1njOuXl5WnUqFFasWJFhTx5bejQodqwYYPuueceRUVFafPmzcrLy1NycrImTpyoXr16uSw/depUjRs3TnXq1NHGjRtdbsUtTZ8+ffTNN99oyJAhCg4O1oYNG2SMUb9+/bRs2TKPTyUEAABA2TmM4Zm3l+Oll17Sb3/7W40bN06vvPKKr8sBUAEmTpyoSZMmacKECbafkAgAAAAAP1dV9sqkK8H58+etv0B37NjRx9UAAAAAAABUPMIkG2bMmKGvvvrKZdqRI0c0fPhwbdq0SfXq1VPv3r19VB0AAAAAAEDlKXkgHEiSvvrqK917772qXr26GjVqJGOMvvvuO507d06hoaF65513bI9NBAAAAAAAcCUjTLJh2LBhOnfunFauXKldu3bp7Nmzqlevnm666SY98sgjSkpK8nWJAAAAAAAAlYIBuAEAAAAAAGAbYyYBAAAAAADANsIkAAAAAAAA2EaYBAAAAAAAANsIkwAAAAAAAGAbYRIAAAAAAABsI0wCAAAAAACAbf8PihoBzKKZvMQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x151d37afd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "###################################################################\n",
    "######################## Build optimal basis ######################\n",
    "#------------------------------------------------------------------\n",
    "\n",
    "# Primal domain and basis\n",
    "primalDomain, x = mesh.rectilinear([numpy.linspace(0, 1, primalNelems+1)]*ndims)\n",
    "ns.primalBasis = primalDomain.basis('lagrange', degree=primalDegree)\n",
    "\n",
    "ns.x = x\n",
    "\n",
    "# FineDegree and number of elements of fine domain\n",
    "fineDegree   = primalDegree * adjointDegree\n",
    "#fineElements = nr_nodes_func(primalNelems * 2 ** (adjointNelems - 1), fineDegree, adjointType)\n",
    "#print(fineElements)\n",
    "\n",
    "# Build refined adjoint domain and basis\n",
    "fineDomain = deepcopy(primalDomain)\n",
    "for k in range(0, adjointNelems - 1):\n",
    "    tempDomain = fineDomain\n",
    "    fineDomain = tempDomain.refined\n",
    "ns.fineBasis = fineDomain.basis(adjointType, degree=(fineDegree))\n",
    "\n",
    "\n",
    "\n",
    "# Allocate list with optimized basis functions\n",
    "optimalBasis = []\n",
    "#TODO: Distribute basis functions on list entries (needs methods of its own)\n",
    "# Loop over all primal basis functions (nodes for FE).\n",
    "for i in range(0, nr_nodes):\n",
    "    leftSlice, rightSlice = slicer(i, fineDegree, primalNelems, (adjointNelems - 1), adjointType)\n",
    "    print(leftSlice, rightSlice)\n",
    "    ns.tempBasis = ns.fineBasis[leftSlice : rightSlice]\n",
    "    tempAdj = deepcopy(adjVector[i])\n",
    "    #print(tempAdj)\n",
    "    ns.temp = 0\n",
    "    ns.testTemp = 0\n",
    "    for k in range(0, len(ns.tempBasis)):\n",
    "        ns.temp = ns.temp + ns.tempBasis[k] * tempAdj[k]\n",
    "        ns.testTemp = ns.testTemp + ns.tempBasis[k]\n",
    "    ns.optimized = ns.primalBasis[i] + ns.temp\n",
    "    optimalBasis.append(ns.optimized)\n",
    "    ######TESTPLOT\n",
    "    plt.figure()\n",
    "    bezier = fineDomain.sample('bezier', 9)\n",
    "    x, optimized = bezier.eval([ns.x, ns.optimized])\n",
    "    #x, testPlot = bezier.eval([ns.x, ns.testPlot])\n",
    "    fig=plt.figure(figsize=(18, 16), dpi= 80, facecolor='w', edgecolor='k')\n",
    "    primalText = 'The figure above shows an optimized Basis function'\n",
    "    fig.text(.1,.05, primalText, fontsize=20)\n",
    "    #print('The following figure shows the primal Basis function: %s' % (pbs))\n",
    "    plt.plot(x, optimized)\n",
    "    \n",
    "ns.optiBasis = optimalBasis[:]\n",
    "    \n",
    "    \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Solution of the primal problem using the conventional basis\n",
    "\n",
    "#### Boundary conditions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "ns.gl = 1\n",
    "ns.gr = 0\n",
    "ns.f = 0\n",
    "\n",
    "ns.u = 'primalBasis_n ?lhs_n'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "optimize > iter 1 > solve > solver returned with residual 0e+00\n",
      "optimize > constrained 2/3 dofs\n"
     ]
    }
   ],
   "source": [
    "#primalDomain\n",
    "#fineDomain\n",
    "\n",
    "#primalBasis\n",
    "#optiBasis\n",
    "\n",
    "# construct residual\n",
    "# Element integrals\n",
    "# Diffusive part and RHS\n",
    "res = fineDomain.integral('k primalBasis_n,0 u_,0 - primalBasis_n f' @ ns, geometry=ns.x, degree=fineDegree*3)\n",
    "## Advective part\n",
    "res += fineDomain.integral('-vel primalBasis_n,0 u' @ ns, geometry=ns.x, degree=fineDegree*3)\n",
    "## SUPG stabilized part\n",
    "#res += domain.integral(' tau v basis_n,0 (v u_,0 - k (u_,0)_,0 - f )' @ ns, geometry=ns.x, degree=5)\n",
    "\n",
    "## Interface integrals\n",
    "## Diffusive part\n",
    "##    part one                      |\n",
    "##                                  v  minus might be necessary here because of jump definitions (likewise on second +)\n",
    "#res += domain.interfaces.integral(' [basis_n] n_0 k {u_,0} + beta k {basis_n,0} [u] n_0' @ ns, geometry=ns.x, degree=degree*2)\n",
    "##    part two (stabilized)\n",
    "#res += domain.interfaces.integral(' tauA [basis_n] n_0 [u] n_0' @ ns, geometry=ns.x, degree=degree*2)\n",
    "## Advective part\n",
    "#res += domain.interfaces.integral('- v [basis_n] n_0 ({u} - .5 C [u] n_0)' @ ns, geometry=ns.x, degree=5)\n",
    "\n",
    "## Boundary integrals LHS\n",
    "##    part one\n",
    "#res += domain.boundary.integral('- k basis_n u_,0 + beta k basis_n,0 u ' @ ns, geometry=ns.x, degree=degree*2)\n",
    "##    part two (stabilized)\n",
    "#res += domain.boundary['left'].integral(' tauZero basis_n u ' @ ns, geometry=ns.x, degree=degree*2)\n",
    "#res += domain.boundary['right'].integral(' tauN basis_n u ' @ ns, geometry=ns.x, degree=degree*2)\n",
    "\n",
    "## Boundary integrals RHS (weakly imposed boundary conditions) (including stabilization)\n",
    "## Diffusive part\n",
    "#res -= domain.boundary['left'].integral(' ( beta k basis_n,0 + tauZero basis_n) gl ' @ ns, geometry=ns.x, degree=degree*2)\n",
    "#res -= domain.boundary['right'].integral(' ( beta k basis_n,0 + tauN basis_n) gr ' @ ns, geometry=ns.x, degree=degree*2)\n",
    "## Advective part\n",
    "#res += domain.boundary['left'].integral('v basis_n n_0 (0.5 (gl + u) - .5 C (gl - u) n_0)' @ ns, geometry=ns.x, degree=degree*2)\n",
    "#res += domain.boundary['right'].integral('v basis_n n_0 (0.5 (gr + u) - .5 C (gr - u) n_0)' @ ns, geometry=ns.x, degree=degree*2)\n",
    "\n",
    "sqr = fineDomain.boundary['left'].integral('(u - gl)^2' @ ns, geometry=ns.x, degree=fineDegree*3)\n",
    "sqr += fineDomain.boundary['right'].integral('(u - gr)^2' @ ns, geometry=ns.x, degree=fineDegree*3)\n",
    "cons = solver.optimize('lhs', sqr, droptol=1e-15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "solve > solver returned with residual 0e+00\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x151cb92b70>]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x151cba43c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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Wa0R0qO6YOcF0jscYFByg+zJT1dJp08rNB0znAAAAH8GYBAAAvN7j6///6HZYsH8e3e7L/PNG6LLEoXr5vUoVHmk2nQMAAHwAYxIAAPBquyuO62+7q3XVxFjNm+TfR7dPx2KxKCc7XU5JuXkFcjqdppMAAICXY0wCAABey2Z3aMm/8jm6/SkmjYrW9ZeM1rtlDdqYf9R0DgAA8HKMSQAAwGv9cUelCo4065tXJWl8HEe3P8n3r0tRZEigHl5bqM4eu+kcAADgxRiTAACAV6pv6dJTm4o1MjpUt3N0+1PFRYboO9dOVPWJDv36nUOmcwAAgBdjTAIAAF7psfVFauHo9hn5yhWJGhcbrudfL1Vtc6fpHAAA4KUYkwAAgNfZVX5c/9jTe3R7Lke3XRYcaNWSrDS1d9v1+IYi0zkAAMBLMSYBAACvYrM7tGRV79HtZRzdPmPXpAzT1clxemVPjd6vPGE6BwAAeCHGJAAA4FX+sL1ChUeatfjqJCVxdPuMWSwW5WSlKcBq0bK8AjkcTtNJAADAyzAmAQAAr1Hf0qWnNx3QqMGD9O1rOLp9tiYMi9RNU8dqb1Wj/rW3xnQOAADwMoxJAADAazy6vlAtXRzd7g/fuzZZQ8KC9PiGIrV12UznAAAAL8KYBAAAvMJ7h47rlT01mp4cpzkZ8aZzvF50WJC+f12Kapu79NM3DprOAQAAXoQxCQAAeDyb3aGcVfsVHGDVQxzd7jf/e+lopQ6P1C/eLlPV8XbTOQAAwEswJgEAAI/30vYKFR1t0eKrkzQuNtx0js8IDLAqJytd3TaHHllXaDoHAAB4CcYkAADg0epaOrWSo9tuc8WEWM3NGK71+49q28FjpnMAAIAXYEwCAAAe7bF1RWrpsiknO12DggNM5/ik+zPTFBxoVW5egewOp+kcAADg4RiTAACAx9pR1qBX3q/RjJQ4XZfO0W13GRMTpm9eNU5FR1v0552VpnMAAICHY0wCAAAeqcfuUM6q/N6j29kc3Xa322ZM0LDIED21sVhN7T2mcwAAgAdjTAIAAB7pxXcrVFzbom9NT1IiR7fdLjwkUPfMTdWJ9h796NUS0zkAAMCDMSYBAACPU9fcqWc39x7dvm0GR7cHymcuHKULRg/Wi++Wq7SuxXQOAADwUIxJAADA4zy6vvfo9lKObg8oq9WipdnpsjmcWr6m0HQOAADwUIxJAADAo+woa9A/36/RNSlxms3R7QF30Zgh+uyFo/TmgXq9XlRnOgcAAHggxiQAAOAxTh3dDrTqoQUc3Tblh3NTFRYcoOVrCtRtc5jOAQAAHoYxCQAAeIzfbytXcW2Lbpk+XmNjOLptyvDoUN02Y7zKjrXpxXfLTecAAAAPw5gEAAA8Qm1zp57dUqKEIYN024zxpnP83jeuSlLCkEH60ZYSHWvtMp0DAAA8CGMSAADwCI+sK1Rrl01LszMUGsTRbdNCgwL0QGaaWrpsenpTsekcAADgQRiTAACAcdvLGrRq72HNTB2mWWnDTOfgpLmThmtK0lD9eWeV8g83mc4BAAAegjEJAAAY1Xt0e7+CA61amp3O0W0PYrFYlJOVIYukZXkFcjqdppMAAIAHYEwCAABG/X5buQ7UtupWjm57pPSRUfriZWP03qHjWvfhUdM5AADAAzAmAQAAY2qbO/XM5gMaPXSQbuXotse6a3ayIkMD9ci6QnX22E3nAAAAwxiTAACAMSvWFqqt266HOLrt0WIiQvS9WcmqaezQL94qM50DAAAMY0wCAABGbDt4TKv3Hda1qcN0bVq86Rx8ipumjtX4uHD99I2DOtLUYToHAAAYxJgEAAAGXI/doaWr8k8e3c4wnQMXBAVYtSQrXR09dj2+vsh0DgAAMIgxCQAADLjfbS1XSV2rbpsxXmNiwkznwEUzUoZpZuow/WvvYe2uOG46BwAAGMKYBAAABtTRpk49u+WAxgwN0y3TObrtbR6Yn6ZAq0XL8grkcDhN5wAAAAMYkwAAwIBase7k0e0F6Rzd9kLj4yL01SsS9UF1k/6xp9p0DgAAMIAxCQAADJhtpceUt++wZqXFa2YqR7e91R3XTlRMeLCe2Fis1i6b6RwAADDAGJMAAMCA6LY5lLM6XyGBVi3NTjedg3MQPShIP5iTovqWLj3/eqnpHAAAMMAYkwAAwID47dZDKq1r1W0zJmj0UI5ue7v/uWS00kdE6ddvH1JFQ5vpHAAAMIAYkwAAgNsdaerQj14t0ZihYfrW9CTTOegHAVaLlmanq9vu0Iq1haZzAADAAGJMAgAAbrdibaHaObrtcy5PitH880ZoU0GttpYeM50DAAAGCGMSAABwq62lx7TmgyOanc7RbV9077xUhQRalZtXIJvdYToHAAAMAMYkAADgNt02h3JW7VdIoFU5WRzd9kWjh4bpW1cnqbi2RS+/V2k6BwAADADGJAAA4Da/2XpIB+vbdPs1HN32ZbfMGK/hUaF6evMBNbZ3m84BAABuxpgEAADc4khTh557tURjY8L0zas5uu3LwoIDdV9mqhrbe/TslhLTOQAAwM0YkwAAgFs8vObk0e3sDI5u+4EFF4zURWMG66XtFTpQ22I6BwAAuBFjEgAA6HfvlBzT2g+P6Lr0eF2TOsx0DgaAxWLR0uwM2R1OLV9TIKfTaToJAAC4CWMSAADoV902h3JW71dokFVLOLrtVy4YPVifvzhBb5cc06uFdaZzAACAmzAmAQCAfvXrdw6pjKPbfuuHc1IUHhygh9cWqMtmN50DAADcgDEJAAD0m8ONvUe3Ezm67beGRYXq9pkTVd7Qrt9tLTedAwAA3IAxCQAA9JuH1xaoo8euhxZkKCSQo9v+6uZpiRobE6Yfv1aqupZO0zkAAKCfMSYBAIB+8XZJvdZ9eFRzMuI1I4Wj2/4sJDBA92emqbXLpqc2FpvOAQAA/YwxCQAAnLMum11LV+VzdBunXJcerysnxOhvu6v1YXWT6RwAANCPGJMAAMA5+/U7h1R2rE13zJyohCEc3YZksViUk5Uhi6RleflyOp2mkwAAQD9hTAIAAOekprFDP361VONiw/WNq8aZzoEHSRkeqS9PGatdFSeU98ER0zkAAKCfMCYBAIBz8vAajm6jb3fOSlb0oCA9uq5QHd120zkAAKAfMCYBAICz9uaBeq3ff1TzJg3X9OQ40znwQEPCg3XnrIk60tSpn7150HQOAADoB4xJAADgrHTZ7Hpodb4GBQXoQY5u4xPcMGWsJg6L0M/fOqiaxg7TOQAA4BwxJgEAgLPyq7cP6dCxNt0+c4JGDR5kOgceLCjAqpzsdHX2OPTY+iLTOQAA4BwxJgEAgDNW09ihH79WoiSObsNFV02M06y0eOXtO6z3Dh03nQMAAM4BYxIAADhjy/MK1Nnj4Og2zsiD89MUFGDRsrx82R1O0zkAAOAsMSYBAIAz8kZxnTbkH1XmecN1NUe3cQYSY8N185XjlH+4WX/fXWU6BwAAnCXGJAAA4LJ/O7o9n6PbOHO3z5yg2IhgPbmxWC2dPaZzAADAWWBMAgAALvvlW2Uqb2jXd66dqJEc3cZZiAwN0g/npOpYa7d+8lqp6RwAAHAWGJMAAIBLqk+06yevlyopLlxfn8bRbZy9z1+coPNGRes3W3t/IiAAAPAujEkAAMAly9f0Ht1etiBDwYE8QuDsWa0WLc1OV4/dqRVrC0znAACAM8STIAAA+FSvF9dpY36t5p83QldN5Og2zt0liUO14IKR2lJYpzcP1JvOAQAAZ4AxCQAAfKLOnt6j22HBAXowK810DnzIvfNSFRpk1fI1BeqxO0znAAAAFzEmAQCAT/TLt8pUcfLo9ohojm6j/4wcPEi3TB+v0rpW/XF7hekcAADgIsYkAADQp6rjvUe3x8eF6+YrObqN/vetq8drZHSoVm4+oONt3aZzAACACxiTAABAn3LXFKjL5lDuwkkc3YZbDAoO0H2ZaWrutOmZzQdM5wAAABfwVAgAAE7r9aI6bS6o1fzzR+jKCbGmc+DDss4foUsTh+iPOypUdLTZdA4AAPgUjEkAAOC/dPbY9VDeyaPb8zm6DfeyWCxamp0hp6RlqwvkdDpNJwEAgE/AmAQAAP7LL04e3f4uR7cxQCaNitb/XDxa75Y1aGN+rekcAADwCRiTAADAv6k63q7nXy/VhGER+hpHtzGAfjAnRREhgXpkXaE6e+ymcwAAQB8YkwAAwL9Zlnfy6PaCDI5uY0DFRYboO9dOUOXxdv1m6yHTOQAAoA88IQIAgFNeK6rVlsJaZV8wUldwdBsGfPWKcRoXG66fvFaq2uZO0zkAAOA0GJMAAICkk0e3VxcoPDhAD2RydBtmBAda9eD8NLV32/XEhmLTOQAA4DQYkwAAgCTp52+WqfJ4u747a6KGR4eazoEfm5k6TFdNjNU/9lRrb1Wj6RwAAPAfGJMAAIAqG9r1whulmsjRbXgAi8WinKx0BVgtWpaXL6fTaToJAAB8DGMSAABQ7pp8ddkcWrYwQ0EBPB7AvInxkbpxyli9X9moVXsPm84BAAAfw9MiAAB+bktBrbYU1mnBBSN1xXiObsNz3DkrWUPCgvTo+kK1ddlM5wAAgJMYkwAA8GOdPXYtW5Pfe3R7Pke34Vmiw4J013Upqm3u0s/ePGg6BwAAnMSYBACAH/vpGwdVdbxDd85OVnwUR7fheb546WilxEfq52+Vqep4u+kcAAAgxiQAAPxWZUO7fvrmQSXHR+grVySazgFOKzDAqpzsdHXbHHp0faHpHAAAIMYkAAD81rK8fHXbHFq2YBJHt+HRrpwQqzkZ8Vr34VFtL2swnQMAgN/jyREAAD+0paBWrxbVaeHkkZo6PsZ0DvCpHshMV3CAVcvyCmR3OE3nAADg1xiTAADwM509dj2Ul6+IkEDdn8nRbXiHMTFh+sZV41R4pFl/2VllOgcAAL/GmAQAgJ954Y2Dqj7Roe/NmsjRbXiV266ZoLjIED21qVhNHT2mcwAA8FuMSQAA+JGKhjb97M2DSomP5Og2vE5ESKDumZuq423deu7VEtM5AAD4LcYkAAD8hNPp1EOre49u5y7M4Og2vNJnLxylCxKi9ftt5TpY32o6BwAAv8RTJAAAfmJLYZ1eL67XoskjdXkSR7fhnaxWi3KyM2RzOPXwmgLTOQAA+CXGJAAA/EBHt10PreboNnzDxWOH6DMXjtLrxfV6vajOdA4AAH6HMQkAAD/w0zdKVdPYoTtnJ2sYR7fhA+6Zm6pBQQFavrZA3TaH6RwAAPwKYxIAAD6u/FibfvZmmVKHR+orU8eazgH6xfDoUN02Y7zK6tv04rvlpnMAAPArjEkAAPgwp9Oph/Ly1W13KHfhJAVydBs+5JtXJ2nU4EH60aslamjtMp0DAIDf4IkSAAAftrmgVm8U1+uzF47SZeOGms4B+lVoUIAemJ+mlk6bnt58wHQOAAB+gzEJAAAf1dFt17K8AkWGBOrezFTTOYBbzJs0XJePG6qX36tU/uEm0zkAAPgFxiQAAHzUCx8/uh3J0W34JovFopzsdFkk5eYVyOl0mk4CAMDnMSYBAOCDDh1r089PHt2+iaPb8HEZI6N1/aVjtOPQca3ff9R0DgAAPo8xCQAAH+N0OrV0NUe34V9+cF2yIkMDtWJtoTp77KZzAADwaTxdAgDgYzbm1+qtA/X67EUc3Yb/iIkI0Xevnaiaxg798q0y0zkAAPg0xiQAAHxIR7ddy9f0Ht2+b16a6RxgQN00NVFJceF64Y2DOtrUaToHAACfxZgEAIAPef713qPb378uWXGRIaZzgAEVHGjVkqx0dfTY9fiGItM5AAD4LMYkAAB8RFl9q37xVu/R7S9P4eg2/NM1KcN0TUqc/vl+jXZXnDCdAwCAT2JMAgDAB3z86PbyRRzdhn97MCtdgVaLcvPy5XA4TecAAOBzeNIEAMAHbMw/qrdLjulzFyXo0kSObsO/jY+L0FeuSNS+6ia98n6N6RwAAHwOYxIAAF6uvdum3LwCRYYG6t55qaZzAI/wnWsnamh4sJ7YUKTWLpvpHAAAfApjEgAAXu4nr5XqcFOnfnBdCke3gZOiBwXpB9elqK6lSy+8Xmo6BwAAn8KYBACAFyurb9Uv3y5T+oi14UXpAAAgAElEQVQo3XD5GNM5gEe5/tLRShsRpV+9fUiVDe2mcwAA8BmMSQAAeKmPjm732J1aviiDo9vAfwiwWrQ0O13ddodWrCswnQMAgM/gqRMAAC+1YX/v0e3PX5ygi8dydBs4nSlJMco8b7g25tdqa+kx0zkAAPgExiQAALxQe7dNuWs4ug244r55aQoOtCo3r0A2u8N0DgAAXo8xCQAAL/Tj10p1pKlTd89JUWwER7eBTzJ6aJi+dXWSimtb9PLOKtM5AAB4PcYkAAC8zMH6Vv3q7TJljIzSDZePNZ0DeIVbZ4zX8KhQrdxUrMb2btM5AAB4NcYkAAC8iNPp1EMnj27nLpykAKvFdBLgFcKCA3XPvBSdaO/Rs1tKTOcAAODVGJMAAPAi608e3f6fSxJ08dghpnMAr7LwglG6cMxgvbS9QiW1LaZzAADwWoxJAAB4ibYum5avKVBUaKDumcvRbeBMWa0WLc3OkN3hVO6aAjmdTtNJAAB4JcYkAAC8xMePbsdwdBs4K5NHD9bnLkrQ2yXH9FpRnekcAAC8EmMSAABeoLSu5dTR7S9xdBs4J/fMTVF4cICWrylQt81hOgcAAK/DmAQAgIdzOp1aujpfNodTyxdxdBs4V8OiQvXtmRNU3tCu3207ZDoHAACvw5gEAICHW/fhUW0tbdD1l4zWRWM4ug30h5uvHKfRQwfpuVdLVd/SZToHAACvwpgEAIAH++jodvSgIP1wborpHMBnhAYF6IHMdLV22fTUxmLTOQAAeBXGJAAAPNhzr5XoaDNHtwF3mJMRryvGx+ivu6u0v6bJdA4AAF6DMQkAAA9VWteiX799SJNGRemLl40xnQP4HIvFopzsdFkkLcvLl9PpNJ0EAIBXYEwCAMADOZ1O5aw6eXR7IUe3AXdJHR6lGy4fq53lJ7TmgyOmcwAA8ApuHZM6Ozu1aNEiJScna/LkyZo7d67Ky8slSXV1dZo7d64mTpyoSZMm6Z133nFnCgAAXmXNB0e07WCD/vfS0bqQo9uAW905O1lRoYF6dF2hOrrtpnMAAPB4bv9k0uLFi1VcXKy9e/cqKytLixcvliTde++9mjJlikpKSvTb3/5WN9xwg2w2m7tzAADweK1dNj289qOj26mmcwCfNzQ8WHfOTtbhpk79/K2DpnMAAPB4bh2TQkNDlZmZKYul96P5U6ZMUVlZmSTpr3/9q7797W9Lki699FLFx8fz6SQAACT9+NUS1TZ36YdzUzQ0PNh0DuAXvjxlrCYMi9DP3jyow40dpnMAAPBoA3oz6bnnnlN2drYaGhrkcDgUFxd36vcSExNVWVn5X39m5cqVSkhIOPXV2to6kMkAAAyoktoW/fqdQzo/IVr/eylHt4GBEhRg1ZKsdHX2OPTY+iLTOQAAeLQBG5MeeeQRlZSUaMWKFZJ06tNKH+nrp2fcddddqq6uPvUVERHh9lYAAEz46Oi23cnRbcCE6clxmpU2TKv3HdbO8uOmcwAA8FgDMiY99dRTeuWVV7R+/XqFhYUpJiZGklRfX3/qeyoqKjRmDH8DCwDwX3kfHNG7Zb1Hty8YPdh0DuCXHpifrqAAi5bl5cvhOP1fdgIA4O/cPiatXLlSL7/8sjZv3qzBg///wfgLX/iCnn/+eUnSzp07dfToUU2bNs3dOQAAeKTWLpseXlOgwWFBunsOR7cBU8bFhutrV47T/ppm/X13tekcAAA8ksXZ178v6wfV1dUaPXq0kpKSFBkZKUkKCQnRjh07VFtbqxtvvFGHDh1ScHCwXnjhBU2fPv1TXzMhIUHV1fyPHQDgW1asLdAv3z6kRz5znr50OZ/UBUxq7uzRzKfekCS9/oMZigwNMhsEAMAAOJO9JdDdIX1tVfHx8dq0aZM73x4AAK9woLZFv91argsSonX9paNN5wB+Lyo0SHfPSdE9//hQP3mtVPdlpplOAgDAowzoT3MDAAD/rvfo9n7ZnU7lcnQb8Bifv3i0Jo2K0m+2HtKhY22mcwAA8CiMSQAAGLR632FtLzuuL142hqPbgAcJsFq0NDtDPXanVqwtNJ0DAIBHYUwCAMCQls4erVhb2Ht0+7oU0zkA/sOliUOVdf4IbSms1VsH6j/9DwAA4CcYkwAAMORHW0pU19Kle+amakh4sOkcAKdxX2aaQgKtWr6mQD12h+kcAAA8AmMSAAAGFB9t0W+3leuC0YN1/SUc3QY81ajBg3TL9PEqqWvVH7dXmM4BAMAjMCYBADDAPjq67XA6tXxhhqwc3QY82i3Tx2tEdKie2VKiE23dpnMAADCOMQkAgAG2et9h7Th0XF+6bIzOT+DoNuDpBgUH6L7MNDV19OiZLQdM5wAAYBxjEgAAA6ils0cPry3UkLAg3T2Ho9uAt8g+f4QuGTtEf9heoaKjzaZzAAAwijEJAIAB9OyWEtW3dOneeakaHMbRbcBbWCwWLc3OkFNSbl6BnE6n6SQAAIxhTAIAYIAUHW3W77aVa/LowfrCxRzdBrzNeQnR+sLFCdp2sEGbCmpN5wAAYAxjEgAAA8DpdCrnX/knj25P4ug24KV+MCdFESGBWrG2UF02u+kcAACMYEwCAGAA/Gtvjd4rP64bLh+j8xKiTecAOEvDIkN1x8wJqjzert+8U246BwAAIxiTAABws+bOHj2yrkhDw4P1g+s4ug14u69emajEmDD95LUS1TV3ms4BAGDAMSYBAOBmz24+eXR7Lke3AV8QEhigB+anq63bric2FpvOAQBgwDEmAQDgRoVHmvX7d8t14ZjB+vzFCaZzAPSTWWnDdNXEWP19d7X2VTWazgEAYEAxJgEA4CZOp1NLV3F0G/BFFotFS7LSFWC1aFlevpxOp+kkAAAGDGMSAABu8s/3e49uf/nysZo0iqPbgK9Jjo/UjVPGak9lo1bvO2w6BwCAAcOYBACAG3B0G/AP35s1UYPDgvTouiK1d9tM5wAAMCAYkwAAcINnNh/QsdYu3TsvVdFhQaZzALjJ4LBg3TU7WUebO/WzNw6azgEAYEAwJgEA0M8KDjfr99vKddGYwfr8RRzdBnzdly4bo+T4CP38rTJVHW83nQMAgNsxJgEA0I+cTqdyVu2XJOVydBvwC4EBVi3NzlCXzaHH1heZzgEAwO0YkwAA6Eev7KnRrooTunEKR7cBf3LlhFhdlx6vtR8e0fayBtM5AAC4FWMSAAD9pKmjR4+uL1RMeLDu4ug24HcemJ+m4ACrcvMKZHc4TecAAOA2jEkAAPST3qPb3b1HtwdxdBvwN2NjwnXztHEqONKsv+ysMp0DAIDbMCYBANAP8g836cV3y3Xx2CH6HEe3Ab91+8wJiosM0dObitXU0WM6BwAAt2BMAgDgHDkcTi1dlS9Jyl2YwdFtwI9FhATqh3NS1NDWrR+/WmI6BwAAt2BMAgDgHL3yfu/R7ZumJipjJEe3AX/3uYsSdH5CtH63rVwH61tN5wAA0O8YkwAAOAdNHT16dF2hYiOCdefsZNM5ADyA1WrR0uwM2RxOrVhbaDoHAIB+x5gEAMA5WLmpWA1t3bp3XhpHtwGccvHYIVo0eaReK6rT68V1pnMAAOhXjEkAAJyl/TVNeml7hS4ZO0SfvXCU6RwAHuaeeakaFBSg5WsK1GN3mM4BAKDfMCYBAHAWHA6nclbtlyTlLpzE0W0A/2VE9CDdOmO8yurb9OK7FaZzAADoN4xJAACchX/sqdaeykbdNDVR6SOjTOcA8FCLr07SqMGD9OyWA2po7TKdAwBAv2BMAgDgDDW19+ix9UWKjQjh6DaATxQaFKD7M9PU0mnT05sPmM4BAKBfMCYBAHCGnt7ce3T7/sxUjm4D+FSZ5w3XZeOG6s/vVargcLPpHAAAzhljEgAAZ2B/TZP+sL1ClyYO0Wc4ug3ABRaLRTlZ6XJKyl2TL6fTaToJAIBzwpgEAICLHA6nlqzaL4vFotyFk2SxcHQbgGsmjYrW/146WtvLjmvD/qOmcwAAOCeMSQAAuOjvu6v1fmWjbpo6VmkjOLoN4Mx8/7oURYYEasW6QnX22E3nAABw1hiTAABwQWN7tx7bwNFtAGcvNiJE3501UdUnOvSrt8tM5wAAcNYYkwAAcMHTmw7oeFu3HpifqqhQjm4DODs3TU1UUmy4XnjjoI42dZrOAQDgrDAmAQDwKT6sbtIfdlTossShWjSZo9sAzl5woFUPZqWpvduuJzYUmc4BAOCsMCYBAPAJPjq6bbVYlLsog6PbAM7ZNSnDND05Tq+8X6M9lSdM5wAAcMYYkwAA+AR/212lvVWN+srURKUO5+g2gHNnsVi0JCtNgVaLluUVyOFwmk4CAOCMMCYBANCHxvZuPba+SHGRIfre7ImmcwD4kAnDInXT1ETtq2rUP9+vMZ0DAMAZYUwCAKAPT24s1on2Hj2QmcbRbQD97rvXTtTQ8GA9vqFIbV020zkAALiMMQkAgNP4oLpRf3qvUpeNG6qFk0eazgHgg6LDgnTX7GTVtXTphTdKTecAAOAyxiQAAP5D79HtfFktFi1fOImj2wDc5ouXjVHq8Ej98u1DqmxoN50DAIBLGJMAAPgPf91VpX1VjfraFYlKGR5pOgeADwuwWpSTna5um0OPrCs0nQMAgEsYkwAA+JgTbd16fEPv0e3vzuLoNgD3u2J8rOZNGq4N+Ue1rfSY6RwAAD4VYxIAAB/z5Kbeo9sPzk9TJEe3AQyQ+zPTFBxoVe6aAtnsDtM5AAB8IsYkAABO2lfVqJffq9Tl44ZqwQUc3QYwcEYPDdPiq5JUdLRFf95ZZToHAIBPxJgEAIB6j27nrNrfe3R7EUe3AQy8W2eM17DIED29qVhN7T2mcwAA6BNjEgAAkv6yq0r7qpt085WJSo7n6DaAgRceEqh756XqRHuPnn31gOkcAAD6xJgEAPB7Hx3djo8K0XdnJZvOAeDHFk0epcmjB+vFdytUUttiOgcAgNNiTAIA+L0nNharsb1H92emKSIk0HQOAD9mtVq0NDtddodTy9cWyul0mk4CAOC/MCYBAPza3qpG/XlnpaYkcXQbgGe4cMwQffaiUXrrQL1eL64znQMAwH9hTAIA+C37yaPbARaLchdydBuA57hnbqrCggO0fE2hum0O0zkAAPwbxiQAgN/6885KfVDdpJunjePoNgCPEh8Vqm9fM0GHjrXp99vKTecAAPBvGJMAAH7peFu3nthQrPioEH3n2ommcwDgv3x92jglDBmk514tUX1Ll+kcAABOYUwCAPilJzcWqamjRw/OT+foNgCPFBoUoAfnp6mly6anNxWbzgEA4BTGJACA33m/8oT+vLNKV4yPUdb5I0znAECf5mQM19SkGP1lV5X21zSZzgEAQBJjEgDAz/Qe3c5XgMWiZQsyOLoNwKNZLBblZKfLIik3r0BOp9N0EgAAjEkAAP/y8nuV+rCmSV+fNk4TOboNwAukjYjSFy8bo/fKj2vth0dM5wAAwJgEAPAfDa1denJjsYZHheoOjm4D8CJ3zU5WVGigHl1XpI5uu+kcAICfY0wCAPiNJzYU9x7dzkrj6DYArxITEaLvzUpWTWOHfvFWmekcAICfY0wCAPiFPZUn9JddVbpyQozmn8fRbQDe58apYzU+Llw/fbNUhxs7TOcAAPwYYxIAwOf1Ht3er6AAi5YtmMTRbQBeKSjAqpzsDHX2OPT4hiLTOQAAP8aYBADweX96r1L7a5p187RxmjAswnQOAJy16clxmpk6TKv2Htau8uOmcwAAfooxCQDg0xpau/TkhiINjwrVd2ZydBuA93twfpoCrRYtyyuQw+E0nQMA8EOMSQAAn/b4hiI1d9q0JCtd4RzdBuADkuIi9LUrE/VhTZP+vqfadA4AwA8xJgEAfNbuihP6665qTZsQq8zzhpvOAYB+c8e1ExUTHqwnNhSrpbPHdA4AwM8wJgEAfNLHj24/tCCDo9sAfEpUaJDunpOiY61dev71g6ZzAAB+hjEJAOCT/rSjQvmHm/WNq5I4ug3AJ33hktFKHxGl37xzSOXH2kznAAD8CGMSAMDnHGvt0pMbizUiOlR3zJxgOgcA3CLAatHS7HR12x1asa7QdA4AwI8wJgEAfM7j6///6HZYMEe3Afiuy5NiNP/8EdpcUKu3S+pN5wAA/ARjEgDAp+yuOK6/7a7WVRNjNW8SR7cB+L775qUqJNCq3LwC2ewO0zkAAD/AmAQA8Bk2u0NL/pXP0W0AfiVhSJi+NX28Supa9ccdlaZzAAB+gDEJAOAz/rijUgVHmvXNq5I0Po6j2wD8xy3TkzQ8KlQrNx/QibZu0zkAAB/HmAQA8An1LV16alOxRkaH6naObgPwM2HBgbovM1VNHT16dssB0zkAAB/HmAQA8AmPbyhSC0e3AfixBReM1MVjh+gPOypVfLTFdA4AwIcxJgEAvN6u8uP6+8mj23M5ug3AT1ksFi3NTpfd4VTumnw5nU7TSQAAH8WYBADwaja7Q0tW9R7dXsbRbQB+7vyEwfrCxQnaWtqgzQW1pnMAAD6KMQkA4NX+sL1ChUeatfjqJCVxdBsAdPfcFIUHB2jFukJ12eymcwAAPogxCQDgtepbuvT0pgMaNXiQvn0NR7cBQJKGRYbq9pkTVdHQrt9uLTedAwDwQYxJAACv9ej6QrV0cXQbAP7TzdMSNTYmTD9+tUR1LZ2mcwAAPoYxCQDglXaWH9cre2o0PTlOczLiTecAgEcJCQzQA5lpauu268kNxaZzAAA+hjEJAOB1bHaHlvxrv4IDrHqIo9sAcFqz0+M1bUKs/ra7WvuqGk3nAAB8CGMSAMDrvLS9QkVHW7T46iSNiw03nQMAHslisWhJVroCrBblrimQ0+k0nQQA8BGMSQAAr1LX0qmVHN0GAJekDI/UDZeP0e6KE1q977DpHACAj2BMAgB4lcfWFamly6ac7HQNCg4wnQMAHu/OWcmKHhSkx9YXqb3bZjoHAOADGJMAAF5jR1mDXnm/RjNS4nRdOke3AcAVQ8KDddfsZB1p6tTP3iwznQMA8AGMSQAAr2CzO7R0dX7v0e1sjm4DwJm44fIxSo6P0M/fPKjqE+2mcwAAXo4xCQDgFV58t/fo9remJymRo9sAcEYCA6zKycpQl82hR9cXmc4BAHg5xiQAgMera+7UM5t7j27fNoOj2wBwNqZNjNWstHit/eCI3jt03HQOAMCLMSYBADzeo+t7j24v5eg2AJyTB+enKSjAomV5+bI7nKZzAABeijEJAODRdpQ16J/v1+ialDjN5ug2AJyTxNhw3TxtnPIPN+tvu6pM5wAAvBRjEgDAY/XYHcpZla/gQKseWsDRbQDoD7dfM0GxESF6cmOxmjt7TOcAALwQYxIAwGP9flu5imtbdMv08Robw9FtAOgPkaFB+uHcFDW0devHr5aYzgEAeCHGJACAR6pr7tSzW0qUMGSQbpsx3nQOAPiUz1+UoPNGRet328pVVt9qOgcA4GUYkwAAHumRdYVq7bJpaXaGQoM4ug0A/clqtWhpdrp67E6tWFtoOgcA4GUYkwAAHmd7WYP+tfewZqYO06y0YaZzAMAnXZI4VAsuGKlXi+r0RnGd6RwAgBdhTAIAeJTeo9v7FRxo1dLsdI5uA4Ab3TsvVaFBVi1fU6Aeu8N0DgDASzAmAQA8yu+3letAbatu5eg2ALjdyMGDdOv0CTpY36aX3q0wnQMA8BKMSQAAj1Hb3KlnNh/Q6KGDdCtHtwFgQCy+Okkjo0P17JYDOt7WbToHAOAFGJMAAB5jxdpCtXXbtTSLo9sAMFAGBQfovsw0NXfatHJzsekcAIAXYEwCAHiEbQePafW+w7o2dZhmpcebzgEAv5J1/ghdmjhEf9pRqcIjzaZzAAAejjEJAGBcj92hpavyTx7dzjCdAwB+x2KxaGl2hpyScvMK5HQ6TScBADwYYxIAwLjfbS1XSV2rbpsxXmNiwkznAIBfmjQqWtdfMlrvljVoY/5R0zkAAA/GmAQAMOpoU6ee3XJAY4aG6ZbpHN0GAJO+f12KIkMC9fDaQnX22E3nAAA8FGMSAMCoFet6j24/tCCdo9sAYFhcZIjuuHaCqk906NfvHDKdAwDwUIxJAABjtpUeU96+w5qVFq+ZqRzdBgBP8NUrxmlcbLief71Utc2dpnMAAB6IMQkAYES3zaGc1fkKCbRqaXa66RwAwEnBgVY9OD9N7d12Pb6hyHQOAMADMSYBAIz43bZDKq1r1W0zJmj0UI5uA4AnmZk6TFcnx+mVPTV6v/KE6RwAgIdhTAIADLgjTR16dkuJxgwN07emJ5nOAQD8B4vFopysNAVYLVqWVyCHw2k6CQDgQRiTAAADbsXaQrVzdBsAPNqEYZG6ccpY7a1q1Kp9NaZzAAAehDEJADCgtpYe05oPjmh2Oke3AcDT3TkrWUPCgvTY+iK1ddlM5wAAPARjEgBgwHTbHMpZtV8hgdb/Y+8+w6uu7/+Pv072JEAgrJAEyA4oiKCgoMgeEdvaamtrW2undVSt2iorQB111VWt1V/1Z38dfzsgTAFBQJwgKDmZJIGEkUHInuec7/9G0Kp1MHLyOeP5uK7cIHJdPm8RP2/JK1q8gNFtAPB0MRHBunVWmqoaO/T7bQdM5wAAPATHJABAr3n+9TIdqGnRDdMY3QYAb/HNCcOVPjhaf9hRqoq6VtM5AAAPwDEJANArjja06bEtxUqMjdCPpjK6DQDeIiiw+2+Tdjpc+s26fNM5AAAPwDEJANArVnw0up3F6DYAeJnJyQM0O2uQ1u8/pjcOHDedAwAwjGMSAMDtdhbXau37RzUrc5CmpcWZzgEAnIG752UqJDBAy3Lz5HRZpnMAAAZxTAIAuFWnw6XFq/crLDhAixjdBgCvlRAboeunjFDBsSb99Z1DpnMAAAZxTAIAuNVzO8tUWtOiGy5ldBsAvN3PpiUrLjpUD24sVENrl+kcAIAhHJMAAG5zpL57dDspNkI/uoTRbQDwdlGhQbpzTrpOtHbpd1uKTecAAAzhmAQAcJsVa+1q6+oe3Q4NYnQbAHzBV8YN07nD++rFN8pVUt1sOgcAYADHJACAW+wortG6D45pdtYgXcroNgD4jIAAm5ZkZ8rhsrRird10DgDAAI5JAIAe1+FwasmqPEa3AcBHnZfQT18ZN0zbCmu0taDadA4AoJdxTAIA9LjndpaptLZFN16Wovh+jG4DgC+6c066woMDtXyNXZ0Ol+kcAEAv4pgEAOhRh+vb9PiWEo0YEKnrp4wwnQMAcJPBMWG6Ydoolda26MU3yk3nAAB6EcckAECPWrGG0W0A8BfXTxmp+H7h+t3mYtU2d5jOAQD0Eo5JAIAe81pRjdbvP6Y5WYN1SepA0zkAADcLCw7Ur+dlqKnDoYdeKTSdAwDoJRyTAAA9osPh1NLVJ0e3sxndBgB/MXf0YF0wor/++k6F8o40mM4BAPQCjkkAgB7xxx1lKjs5uj2sb7jpHABAL7HZbFqcnSmbpGW5dlmWZToJAOBmHJMAAGftcH2bHn+1WCMZ3QYAv5Q1NEZXT0zQ22V1WvfBMdM5AAA345gEADhry3Ptau9yMboNAH7stpmpig4L0m/W5au9y2k6BwDgRhyTAABnZVthtTbkHdO8MYM1ldFtAPBbsVGhunl6ig7Xt+kP20tN5wAA3IhjEgDgjH04uh0eHKh75jO6DQD+7tpJSRo5MFK/33ZARxvaTOcAANyEYxIA4Iw9u71U5cdbdeP0ZA1ldBsA/F5IUIAWLchUW5dT968vMJ0DAHATjkkAgDNSeaJVT2wt0ciBkbr+4pGmcwAAHmJaWpympQ3Uv/ce0e6DdaZzAABuwDEJAHBGlq/pHt1ednmWQoL4cgIA+I97FmQqKMCmZbl2uVyW6RwAQA/jv/4BAKdta2G1NuZVaf6YIZqSwug2AOCTRg2M0vcmJ+n9ygb9Y0+l6RwAQA/jmAQAOC3tXd2j2xEhgbpnQYbpHACAh7pxeor6R4bogY2Fau5wmM4BAPQgjkkAgNPy7PZSHTzeqpump2hIDKPbAIDPFhMerNtnpammqUNPbi0xnQMA6EEckwAAp6yirnt0e9TASF130QjTOQAAD3fVhOHKGNJHz+0o08HjLaZzAAA9hGMSAOCU5ayxq8Ph0rLLRzO6DQD4UoEBNi3JzlSn06WVa/NN5wAAeggvAQDAKdlaUK1N9irNP2eILk4ZYDoHAOAlLhwZq/ljhugVe5V2FteazgEA9ACOSQCAL9Xe5dTS3JOj2/MZ3QYAnJ675qYrJChAOWvy5HC6TOcAAM4SxyQAwJf6w8nR7ZsZ3QYAnIHh/SP046kjVVTVrL+8fch0DgDgLHFMAgB8oYq6Vj25tUTJcVH6PqPbAIAz9NNLR2lwnzA9tKlI9a2dpnMAAGeBYxIA4Asty+0e3c65PIvRbQDAGYsICdJdc9NV39qlRzcXm84BAJwFXgUAgM+1Jb9Km/OrtOCcIZqczOg2AODsLBw7VOcl9NX/vnlQRVVNpnMAAGeIYxIA4DO1dzm1LNd+cnQ703QOAMAH2Gw2LcnOktNlafkauyzLMp0EADgDHJMAAJ/pmddKdaiuVbfMSNHgmDDTOQAAH3Hu8L762nnx2lFcq8351aZzAABngGMSAOC/HDreqqe2lSiF0W0AgBvcOSdNkSGBWrnWrg6H03QOAOA0cUwCAPyXnDV56nC4tGxhloID+VIBAOhZcX3CdMNlySo/3qo/vV5uOgcAcJp4IQAAPmGzvUqb86t1+blDNXkUo9sAAPe47qIRSugfocdfLVF1U7vpHADAaeCYBAD4SHuXU8vW5CkyJFB3z88wnQMA8GFhwd1fa5o7HHpwY6HpHADAaeCYBAD4yO+3HVBFXZtumZGqQX0Y3QYAuNeszEGaPCpW/293pT6obDCdAwA4RRyTAACSpIPHW/T71w4oJS5K37soyXQOAMAP2Gw2Lc7OlE3SslsFex8AACAASURBVNw8WZZlOgkAcAo4JgEAJEk5uXZ1OlzKWTia0W0AQK9JH9xH11yQqHcPnlDu+0dN5wAATgGvBQCANturtKWgWgvHDtWkUbGmcwAAfubWmamKCQ/Wvevy1dbpNJ0DAPgSHJMAwM+1dzm1NDdPUaFB+vU8RrcBAL2vX2SIfjEjRUcb2vX0awdM5wAAvgTHJADwc09tO6DKE226ZUYKo9sAAGOuuTBRKXFRevq1Azpc32Y6BwDwBTgmAYAfK69t0dOvHVDqoCh9d3KS6RwAgB8LDgzQogWZ6nC4dO+6fNM5AIAv4NZj0k033aSkpCTZbDbt37//o88nJSUpPT1dY8eO1dixY/W3v/3NnRkAgM9gWZaW5uYxug0A8BhTUwdqRkac1rx/VG+X1ZnOAQB8Dre+HK688krt3LlTiYmJ//XPXn75Ze3du1d79+7VVVdd5c4MAMBn2GSv0rbCGl0xdqguHMnoNgDAM9w9P1PBgTYty82T02WZzgEAfAa3HpOmTp2q+Ph4d/4rAABnoK3TqWW5dka3AQAeZ8SASF130QjlHWnUy7srTOcAAD6Dse9puOaaazRmzBhdf/31qqmp+dzf9/DDDys+Pv6jj+bm5l6sBADf9PttJTpc36ZfzExVHKPbAAAP8/PLkjUgKkS/3VioxvYu0zkAgE8xckzavn279u3bpz179ig2Nlbf/e53P/f33nrrraqsrPzoIyoqqhdLAcD3dI9ulyp9cLS+O+m/vw0ZAADTosOC9cvZaapt7tQTr5aYzgEAfIqRY1JCQoIkKTg4WLfccot27NhhIgMA/M5Ho9vO7tHtIEa3AQAe6srxwzV6WB/9z+tlKqttMZ0DAPiYXn9FtLS0qL6+/qNf/+Uvf9G4ceN6OwMA/NIrJ0e3vzJumCaO6G86BwCAzxUYYNOS7Cx1OS2tXGs3nQMA+Bi3HpNuuOEGxcfHq7KyUjNmzFBycrKqqqo0bdo0nXPOORozZoxee+01vfjii+7MAACoe3Q7J9eu6NAg/WpeuukcAAC+1ISk/so+d6g251frtaLP31kFAPQum2VZXvXzNj88TgEATs+DGwv1xNYSLV6QqesuHmE6BwCAU3K4vk3TH9qm+H4RWn/zFAXzLdoA4Banc2/hT2IA8ANltS36w/bu0e1rGd0GAHiRYX3D9ZNLRqmkulkvvXnQdA4AQByTAMDnWZalJasZ3QYAeK8fTx2loTFhemRTkepaOk3nAIDf40UBAD5uY16VthfV6KvnMboNAPBO4SGBumtehhrbHXpkU5HpHADwexyTAMCHtXY6tHzNydHtuRmmcwAAOGPZ5wzR+Yn99Oe3DqrgWKPpHADwaxyTAMCHPbm1RIfr23TrrFQNjA41nQMAwBmz2Wxakp0lS9Ky1XZ52c8RAgCfwjEJAHxUaU3zR6Pb37mQ0W0AgPcbEx+jb4wfrjdKj2tjXpXpHADwWxyTAMAHfTi63eW0tPwKRrcBAL7j9tlpigoN0sp1drV3OU3nAIBf4nUBAD5oY94x7Siu1dfOi9eEJEa3AQC+Y2B0qG68LFkVdW16/vUy0zkA4Jc4JgGAj2ntdCgn167osCDdNTfddA4AAD3uexclKSk2Qk+8WqKqxnbTOQDgdzgmAYCPeeLVEh1paNfts9IY3QYA+KTQoEDdMz9TrZ1OPbCh0HQOAPgdjkkA4EMO1DTr2R2lyhjSR9dckGA6BwAAt5meEacpKQP0jz2V2ltRbzoHAPwKxyQA8BGWZWnph6PbC7MY3QYA+DSbzabFCzIVGGDT0tV5crks00kA4Dd4aQCAj1i/v3t0+8rx8Tqf0W0AgB9IGRSt71yYqL0V9Vq177DpHADwGxyTAMAHtHY6tHwNo9sAAP9zy4wU9Y0I1n3rC9TS4TCdAwB+gWMSAPiAx18t0dGGdv1ydpoGRDG6DQDwH30jQnTbzFRVNXbo6dcOmM4BAL/AMQkAvFxJdbP+uKNUWUP76JoLEk3nAADQ6745MUFpg6L1zPZSVdS1ms4BAJ/HMQkAvNjHR7dzFo5WYIDNdBIAAL0uKDBAi7Mz1elw6d71+aZzAMDncUwCAC+27oNj2llSq6+Pj9f4xH6mcwAAMOai5AGalTlI6z44pjdLj5vOAQCfxjEJALxUS0f36HafsCDdyeg2AAC6e36GQgIDtCzXLqfLMp0DAD6LYxIAeKnHXi3WsUZGtwEA+FBibKR+MGWE8o826m/vVJjOAQCfxTEJALxQSXWTnttRpqyhffQtRrcBAPjIDdOSNTA6VA++UqiGti7TOQDgkzgmAYCXsSxLS1bnyeGytPwKRrcBAPi4qNAg3TknXXUtnXpsS7HpHADwSRyTAMDLrP3gqF4vOa6rzh+u8xIY3QYA4NO+Om6Yzo2P0Qu7ylVS3Ww6BwB8DsckAPAizSdHt2PCg3XHnDTTOQAAeKSAAJsWZ2fJ4bK0Yq3ddA4A+ByOSQDgRR7fUqyqxg7dPjtNsYxuAwDwucYn9tMVY4dqW2GNthZUm84BAJ/CMQkAvERxVZOe21mm0cP66FsTE0znAADg8e6cm67w4EAtX2tXp8NlOgcAfAbHJADwAp8Y3V7I6DYAAKdiSEy4fnbpKJXWtOjFN8pN5wCAz+CYBABeYM37R7XrwHFdPWG4xjG6DQDAKfvh1JEa1jdcv9tSrNrmDtM5AOATOCYBgIdr7nBoxdoPR7fTTecAAOBVwoIDdff8DDW1O/TQK0WmcwDAJ3BMAgAP99jJ0e075qSpf2SI6RwAALzO3NGDNXFEf/31nUPKO9JgOgcAvB7HJADwYEVVTXp+Z5nGDIvR1RMY3QYA4EzYbDYtyc6UJOXk2mVZluEiAPBuHJMAwENZlqXFq/bLaVlafgWj2wAAnI2sod3/Y+atsjqt33/MdA4AeDWOSQDgoVbvO6I3S+t09YThGju8r+kcAAC83u2zUhUdFqSVa/PV3uU0nQMAXotjEgB4oOYOh1auzVffiGD9cjaj2wAA9ITYqFDdPD1Fh+vb9Oz2UtM5AOC1OCYBgAf63eYiVTd16I7Z6YxuAwDQg66dlKSRAyL11LYDOtbQbjoHALwSxyQA8DCFx5r0/OvlOjc+RldNGG46BwAAnxISFKBFCzLV1uXU/RsKTOcAgFfimAQAHuTD0W2XZSlnIaPbAAC4w7T0OF2aNlD/eu+wdh88YToHALwOxyQA8CCr9x3RW2V1unpCgs5ldBsAALe5Z36mggJsysnNk8tlmc4BAK/CMQkAPERTe5dWnBzdvmN2mukcAAB8WnJclL47OUn7Khv0z/cOm84BAK/CMQkAPMSjm4tV09ShO+ekqx+j2wAAuN1N01PUPzJE928oUHOHw3QOAHgNjkkA4AEKjzXpT7vKde7wvrrqfEa3AQDoDTHhwbptVqpqmjr05NYS0zkA4DU4JgGAYZZladHJ0e3lC7MUwOg2AAC95uoJCUofHK3ndpTp0PFW0zkA4BU4JgGAYav2HtHbZXX61sQEnRPP6DYAAL0pMMCmJdlZ6nS6tHKd3XQOAHgFjkkAYFBje5dWrstXv4hg/ZLRbQAAjJg0KlbzxgzWxrwqvV5SazoHADwexyQAMOjRTf8Z3e4bweg2AACm/GpuhkKCApSTa5fD6TKdAwAejWMSABhScKxRL7zRPbr9DUa3AQAwanj/CP1oykgVVjXpL28fMp0DAB6NYxIAGGBZlhb/O08uy9KKhaMZ3QYAwAP89NJRGtQnVA9vKlJ9a6fpHADwWByTAMCAf+89rLfL63TNBQkaEx9jOgcAAEiKDA3SXXPTdaK1S49uLjadAwAei2MSAPSyxvYurVxboP6RIbp9FqPbAAB4koXnDtO4hL763zcPqriqyXQOAHgkjkkA0Mse2VSk2uYO3cXoNgAAHicgwKYl2VlyuizlrLHLsizTSQDgcTgmAUAvsh9p1Au7yjV2eF9dOT7edA4AAPgMY4f31dfOi9eO4lptya82nQMAHodjEgD0EsuytHjVflmSVlzB6DYAAJ7sjjlpiggJ1Iq1dnU4nKZzAMCjcEwCgF7yzz2H9e7BE/r2BYkaPYzRbQAAPNmgPmG6YVqyyo+36oVd5aZzAMCjcEwCgF7Q0Nale9fnM7oNAIAX+cHFIzS8f7ge21KimqYO0zkA4DE4JgFAL+ge3e7UXXPTFRMRbDoHAACcgrDgQN09L1PNHQ49uLHQdA4AeAyOSQDgZvYjjXrxjXKdl9BXV57H6DYAAN5kdtYgTR4Vq7/vrtAHlQ2mcwDAI3BMAgA3crm6R7clKWcho9sAAHgbm82mxdmZsklalpsny7JMJwGAcRyTAMCN/vneydHtCxndBgDAW6UP7qNvXZCgdw+e0Jr3j5rOAQDjOCYBgJs0tHXp3nX5io0M0W0zGd0GAMCb3TozTX3CgnTvuny1dTpN5wCAURyTAMBNHtlUpOMtjG4DAOAL+keG6BczU3WkoV3PbD9gOgcAjOKYBABukHekQS++Ua7xif30NUa3AQDwCd++MFHJcVF6+rUDOlzfZjoHAIzhmAQAPax7dDtPkpSzMIvRbQAAfERwYIAWLchUe5dL960vMJ0DAMZwTAKAHvaPPZXaffCErp2UpKyhjG4DAOBLLkkdqOnpccrdd0TvlNeZzgEAIzgmAUAPamjt0n3rCzQgqntXAQAA+J6752coONCmZbl5crks0zkA0Os4JgFAD3poU+HJ0e0MxYQzug0AgC8aOTBK379ohPYfbtTLuytN5wBAr+OYBAA9ZP/hBr305kGdn9hPXx03zHQOAABwo59flqwBUSF6YGOBmtq7TOcAQK/imAQAPaB7dHu/JCln4WhGtwEA8HF9woL1y9lpqm3u1BOvlpjOAYBexTEJAHrAy3sqtedQva6dlKTMoX1M5wAAgF5w5fjhyhraR8+/Xqay2hbTOQDQazgmAcBZ+s/odiij2wAA+JHAAJuWZGepy2lp5dp80zkA0Gs4JgHAWXrwlULVtXTq1/PSGd0GAMDPTBzRXwvOGaLN+VXaXlRjOgcAegXHJAA4Cx9UNuiltw5qQlI/fYXRbQAA/NKv5mUoNChAy9fY1eV0mc4BALfjmAQAZ8jlsrRo1X4F2GzKWThaNhuj2wAA+KNhfcP1k0tGqbi6WS+9edB0DgC4HcckADhDL++u1N6Kel07KVEZQxjdBgDAn/3kklEaEhOmRzYVqa6l03QOALgVxyQAOAP1rZ26bwOj2wAAoFt4SKDumpuuxnaHHtlUZDoHANyKYxIAnIEPR7fvnp+uPmGMbgMAAOnyc4fq/MR++vNbB1VwrNF0DgC4DcckADhNH1Q26M9vHdLEpP66Yiyj2wAAoJvNZtOS7CxZknJy7bIsy3QSALgFxyQAOA0ul6V7PhzdviKL0W0AAPAJY+Jj9PXx8dp14LhesVeZzgEAt+CYBACn4e/vVmhfRb2+OylJ6YMZ3QYAAP/t9tlpigoN0sq1+WrvcprOAYAexzEJAE5RfWun7t9QoIHRobplZorpHAAA4KHiosP088uSdaiuVc+/XmY6BwB6HMckADhFv91YqBOtXbp7Xgaj2wAA4At9/6IkJcZG6MlXS1Td2G46BwB6FMckADgF71fW6//ePqSJI/pr4dihpnMAAICHCw0K1D3zM9XS6dQDGwtN5wBAj+KYBABfwuWytOjf3aPbyxeOZnQbAACckhkZcZqSMkAv767Uvop60zkA0GM4JgHAl/jbuxXaV9mg709OUtrgaNM5AADAS9hsNi1akKnAAJuW5ubJsizTSQDQIzgmAcAXONHSPbodFx2qm2cwug0AAE5P6qBofefCRL13qF6r9h4xnQMAPYJjEgB8gd++Uqj61i7dPT9D0YxuAwCAM3DLjBT1jQjWfesL1NrpMJ0DAGeNYxIAfI59FfX6y9uHdMGI/rr8XEa3AQDAmekbEaJbZ6bqWGO7nt52wHQOAJw1jkkA8BmcLkuLVp0c3b6C0W0AAHB2vjUxQamDovTM9lJV1LWazgGAs8IxCQA+w9/eqdD7lQ267qIkpQ5idBsAAJydoMAALcnOUofDpfvWF5jOAYCzwjEJAD6lrqVTD2ws0KA+obp5RqrpHAAA4CMuSh6gWZmDtPaDo3qz9LjpHAA4YxyTAOBTfrux4OTodqaiQoNM5wAAAB9y9/wMhQQGKCfXLqfLMp0DAGeEYxIAfMzeinr99Z0KTRoZq+xzhpjOAQAAPiYxNlLXXTxC9qON+vu7FaZzAOCMcEwCgJOcLkuLV+1XoM2mnIVZjG4DAAC3+PllyRoYHaoHNxaqoa3LdA4AnDaOSQBw0l/fOdQ9un3xCKUwug0AANwkKjRId8xO0/GWTj2+pdh0DgCcNo5JAKCTo9sbCjWoT6hump5iOgcAAPi4r50Xr3PiY/SnXeU6UNNsOgcATgvHJACQ9MCGAjW0dekeRrcBAEAvCAiwaUl2phwuSyvX5pvOAYDTwjEJgN/bc+iE/vpOhSaPitUCRrcBAEAvGZ/YXwvHDtWrBdXaWlhtOgcAThnHJAB+7cPR7aAARrcBAEDvu2tuusKDA7V8jV1dTpfpHAA4JRyTAPi1v7x9SPsPN+oHF49Qchyj2wAAoHcNiQnXTy8dpdKaFr34xkHTOQBwSjgmAfBbx5s79NuNhRrcJ0w3MroNAAAM+dHUkRrWN1yPbi7S8eYO0zkA8KU4JgHwWw9sKOwe3V6Qweg2AAAwJiw4UL+el6Gmdoce3lRkOgcAvhTHJAB+ac+hE/rbuxW6KDlW88cwug0AAMyaN2awJib111/ePiT7kUbTOQDwhTgmAfA7TpelRf/er+BAm5ZdPprRbQAAYJzNZtPi7ExZknLW5MmyLNNJAPC5OCYB8Dv/99ZB5R1p1A8uHqnkuCjTOQAAAJKk0cNidPWE4XqztE4b9h8znQMAn4tjEgC/8uHo9pCYMN14WbLpHAAAgE+4bVaaokODtHJdvtq7nKZzAOAzcUwC4Ffu31CgxnaH7pmfqUhGtwEAgIcZEBWqm2ekqPJEm57bWWY6BwA+E8ckAH5j98ET+vu7lbo4eYDmjRlsOgcAAOAzXTspSSMHROrJrSU61tBuOgcA/gvHJAB+4eOj20svz2J0GwAAeKyQoADdsyBDrZ1OPbChwHQOAPwXjkkA/MKf3zoo+9FGXT+F0W0AAOD5pqXF6ZLUgfrne4e159AJ0zkA8AkckwD4vNqTo9tDGd0GAABewmazadGCDAUF2LQs1y6XyzKdBAAf4ZgEwOfdt75ATe0OLVqQqYgQRrcBAIB3SI6L1rWTkrSvol7/eu+w6RwA+AjHJAA+bffBOr28u1JTUgZozmhGtwEAgHe5eXqK+kUE6/4NBWrpcJjOAQBJHJMA+DCH06VF/85TcKBNyxjdBgAAXigmIli3zUpTdVOHntpWYjoHACRxTALgw/781iHZjzbqh1NGauRARrcBAIB3+ubEBKUPjtazO8p06Hir6RwA4JgEwDfVNHXowVe6R7d/zug2AADwYoEBNi3OzlSnw6XfrMs3nQMAHJMA+KYPR7cXZzO6DQAAvN/kUQM0d/Rgbcg7pl0Hak3nAPBzHJMA+Jx3y+v0jz2Vmpo6ULOzGN0GAAC+4dfzMhQSFKCcXLscTpfpHAB+jGMSAJ/icLq0aFWeQgIDGN0GAAA+ZXj/CP1wyggVHGvSX9+pMJ0DwI9xTALgU15686Dyjzbqh1NHaMSASNM5AAAAPepnlyYrLjpUD71SqIbWLtM5APwUxyQAPqOmqUMPvVKkYX3DdcM0RrcBAIDviQwN0l1z03WitUuPbikynQPAT3FMAuAz7l2fr6YOhxYtYHQbAAD4rivGDtPY4X314hsHVVLdZDoHgB/imATAJ7xdVqd/7jmsS1IHanbWINM5AAAAbhMQYNOS7Ew5XZZy1uTLsizTSQD8DMckAF7P4XRp8ar9CgkM0FJGtwEAgB8Yl9BPXx03TNuLarS1sNp0DgA/wzEJgNf73zcPquBYk358yUhGtwEAgN+4Y066IkICtXxNvjodLtM5APwIxyQAXq26qV0Pnxzd/tmljG4DAAD/MTgmTDdMS1ZZbYte2FVuOgeAH+GYBMCr3beuQE0dDi3OzlR4SKDpHAAAgF71g4tHKL5fuB7bUqza5g7TOQD8BMckAF7rrdLj+ud7h3Vp2kDNymR0GwAA+J+w4EDdMz9DTR0OPfRKoekcAH6CYxIAr9TldGnxqrzu0e1sRrcBAID/mp01WJNGxuqv71Ro/+EG0zkA/ADHJABe6cU3Dqqwqkk/uWSkkhjdBgAAfsxms2lxdqZsknJy7bIsy3QSAB/HMQmA16lubNejm4oU3y9cP2V0GwAAQBlD+uibExP0dnmd1n5w1HQOAB/HMQmA17l3fffo9pLsLEa3AQAATrp1Zqr6hAXp3nUFau9yms4B4MM4JgHwKm+VHte/3jusy9LjNCMjznQOAACAx4iNCtUtM1J1uL5Nf9heajoHgA/jmATAa3w0uh0UoCXZmYxuAwAAfMp3JiVq1MBIPbWtREfq20znAPBRHJMAeI0XdpWfHN0epcRYRrcBAAA+LTgwQIsWZKq9y6X7NxSYzgHgozgmAfAKVY3tenRzseL7hetnl44ynQMAAOCxLk2L02XpcVq194jeLa8znQPAB3FMAuAVfrMuX80dDi3NzlJYMKPbAAAAX+Se+RkKCrBpWa5dLpdlOgeAj+GYBMDjvVl6XKv2HtH09DjNyBxkOgcAAMDjjRwYpe9flKQPDjfoH3sqTecA8DEckwB4tO7R7f0nR7ezTOcAAAB4jRunpyg2MkT3byhUU3uX6RwAPoRjEgCP9sKuchVVNeunl4xSQmyE6RwAAACv0ScsWLfPTlNtc4ee3HrAdA4AH8IxCYDHqmps1yObijS8f7h+yug2AADAafvG+cOVOaSPnt9ZpvLaFtM5AHwExyQAHmvl2ny1dDoZ3QYAADhDgQE2LcnOVKfTpZXr8k3nAPARHJMAeKRdB2q1et8RzciI0/QMRrcBAADO1AUjYzX/nCHaZK/SzuJa0zkAfADHJAAep8vp0pJVeQpldBsAAKBH/GpuukKDApSzJk8Op8t0DgAvxzEJgMf50+vlKq5u1s8uTdbw/oxuAwAAnK34fhH68SWjVFTVrP97+5DpHABejmMSAI9yrKFdj24uUkL/CP34kpGmcwAAAHzGTy4ZqcF9wvTQK0U60dJpOgeAF+OYBMCjrFx3cnT78kxGtwEAAHpQREiQfjUvXQ1tXXp0c5HpHABejGMSAI+xq6RWufuOaEbGIF2Wzug2AABAT7v83KEan9hPL711SEVVTaZzAHgpjkkAPEKnw6XFqz8c3c40nQMAAOCTbDablmRnyumytHyNXZZlmU4C4IU4JgHwCH/aVaaS6mbdMI3RbQAAAHc6J76vvj4+XjuKa7U5v9p0DgAvxDEJgHFHG9r06OZiJcZG6EdTGd0GAABwt1/OSVNkSKBWrLWrw+E0nQPAy3BMAmDcyrX5au10aunlWYxuAwAA9IK46DD9/LIUHTzeqv95vdx0DgAvwzEJgFGvl9RqzftHNStzkKalxZnOAQAA8BvXXZykxNgIPb6lWNVN7aZzAHgRjkkAjOl0uLR41X6FBgVo0QJGtwEAAHpTaFCg7p6XoZZOpx7cWGg6B4AX4ZgEwJjnXy/TgZoW/ZzRbQAAACNmZg7SxckD9P92V+r9ynrTOQC8BMckAEYcbWjTY1uKlRQboR8yug0AAGCEzWbTogWZCrDZtCzXLsuyTCcB8AIckwAYsYLRbQAAAI+QNjha11yQoN0HT2j1viOmcwB4AY5JAHrdzuJarX3/qGZnDdKljG4DAAAY94sZqYoJD9Z96wvU2ukwnQPAw3FMAtCrOh0uLV69X2HBjG4DAAB4in6RIbp1ZqqONrTrmddKTecA8HAckwD0qud2lqn05Oh2fD9GtwEAADzFNRckKHVQlJ5+7YAO17eZzgHgwTgmAeg1R+oZ3QYAAPBUQYEBWrwgSx0Ol+5dl286B4AH45gEoNesWGtXW1f36HZoEKPbAAAAnubilAGakTFIa94/qrfL6kznAPBQHJMA9IodxTVa98ExRrcBAAA83D3zMxQcaNOy3Dw5XZbpHAAeiGMSALfrcDi1ZFWewoIDtDg7y3QOAAAAvkDSgEhdd/EI5R1p1Mu7K0znAPBAHJMAuN1zO8tUWtuiGy9L0bC+4aZzAAAA8CV+Pi1ZA6JC9duNhWps7zKdA8DDuPWYdNNNNykpKUk2m0379+//6PPFxcWaPHmyUlNTNXHiRNntdndmADDocH2bHt9SopEDInX9lBGmcwAAAHAKosOCdcecNNU2d+qJV0tM5wDwMG49Jl155ZXauXOnEhMTP/H5H//4x/rRj36koqIi3XHHHfrBD37gzgwABq1Yw+g2AACAN7ryvHiNGRaj/3m9TKU1zaZzAHgQtx6Tpk6dqvj4+E98rrq6Wnv27NG3v/1tSdLXvvY1lZWVqby83J0pAAzYXlSj9fuPae7owZqaOtB0DgAAAE5DQIBNS7Iz1eW0tHJtvukcAB6k1zeTKioqNHToUAUFBUmSbDabEhISdOjQod5OAeBGHQ6nlq7OU3hwoO5ZkGk6BwAAAGfg/KT+uvzcodpSUK3XimpM5wDwEEYGuG022yd+bVmf/+MmH374YcXHx3/00dzMX68EvMEfd5wc3Z6ezOg2AACAF7trbrrCggO0fI1dXU6X6RwAHqDXj0nDhw9XZWWlHA6HpO5DUkVFhRISEj7z9996662qrKz86CMqKqo3cwGcgcP1bXr81WKNHBip6y8eaToHAAAAZ2Fo33D99JJklVQ366U3D5rOAeABev2YFBcXp3Hjxumll16SJP3jH/9QUlKSkpKSejsFgJssz7WrvculZZdnKSTIyF+ABAAAQA/60dSRGtY3XI9sKlJdS6fpHACGufWVSyqkdwAAIABJREFUd8MNNyg+Pl6VlZWaMWOGkpOTJUnPPPOMnnnmGaWmpuq+++7Tc889584MAL1oW2G1NuQd0/wxQzQlhdFtAAAAXxAeEqi75qarsd2hhzcVms4BYJjN+qLBIg/04XEKgOfpcDg1+5Htqmrs0JbbLtFQtpIAAAB8hmVZ+sYzb2j3wRNad/MUpQ/uYzoJQA86nXsL338CoMc8u71U5cdbddP0FA5JAAAAPsZms2lJdpYsSctW27/wBykB8G0ckwD0iMoTrXpia4lGDozUDy4eYToHAAAAbjB6WIyuOn+43ig9ro15VaZzABjCMQlAj1i+pnt0O+fy0YxuAwAA+LDbZqUpOjRIK9fZ1d7lNJ0DwABefADO2tbCam3Mq9L8c4bo4pQBpnMAAADgRgOjQ3Xj9GRV1LXpuZ1lpnMAGMAxCcBZae9yaunqPEWEBOqe+RmmcwAAANALvjd5hEYMiNSTW0tU1dhuOgdAL+OYBOCsPLu9VAdPjm4PiWF0GwAAwB+EBAXonvkZau106oENhaZzAPQyjkkAzlhFXffo9qiBkbruIka3AQAA/Mll6XGamjpQ/9hTqb0V9aZzAPQijkkAzljOGrs6HC7lLGR0GwAAwN/YbDYtXpChwACblq7Ok8tlmU4C0Et4/QE4I1sLqrXJXqUF5wzRRcmMbgMAAPij5LhofefCRO2tqNeqfYdN5wDoJRyTAJy29i6nluZ+OLqdaToHAAAABv1iRqr6RQTrvvUFaulwmM4B0As4JgE4bX84Obp9y4wUDY4JM50DAAAAg2IignXrrDRVNXbo6dcOmM4B0As4JgE4LRV1rXpya4lS4qL0fUa3AQAAIOmbE4YrfXC0ntleqoq6VtM5ANyMYxKA07Ist3t0e9nCLAUH8kcIAAAApKDAAC1ekKlOh0v3rs83nQPAzXgJAjhlrxZUaXN+lbLPHarJoxjdBgAAwH9MTh6gOVmDte6DY3rjwHHTOQDciGMSgFPS3uXU0tV2RYYE6u55GaZzAAAA4IF+PS9DIYEBylljl9Nlmc4B4CYckwCckmdeK9WhulbdMiOV0W0AAAB8poTYCF0/ZYTyjzbqb+9UmM4B4CYckwB8qUPHW/XUtu7R7e9dlGQ6BwAAAB7sZ9OSFRcdqgdfKVRDW5fpHABuwDEJwJfKWZOnDodLOQtHM7oNAACALxQVGqQ756SrrqVTj20pNp0DwA14FQL4QpvtVdqcX62FY4dq0qhY0zkAAADwAl8ZN0znDu+rF3aVq6S62XQOgB7GMQnA52rvcmrZmjxFhgTq14xuAwAA4BQFBNi0JDtTDpelFWvtpnMA9DCOSQA+1++3HVBFXZt+MTNVg/owug0AAIBTd15CP31l3DBtK6zR1oJq0zkAehDHJACf6dDxVv3+tQNKHRSl705OMp0DAAAAL3TnnHSFBwdq+Vq7Oh0u0zkAegjHJACfaVlunjoZ3QYAAMBZGBwTphumjVJpTYtefKPcdA6AHsILEcB/2Wyv0paCal0xdqguHMnoNgAAAM7c9VNGKr5fuH63pVi1zR2mcwD0AI5JAD6hvcuppbl5igoNYnQbAAAAZy0sOFB3z8tQU7tDD71SZDoHQA/gmATgE57adkCVJ9p0y4wUxTG6DQAAgB4wZ/RgXTCiv/76ziHlHWkwnQPgLHFMAvCR8toWPf3aAaUNimZ0GwAAAD3GZrNpcXambJJycu2yLMt0EoCzwDEJgCTJsqyPjW5nMboNAACAHpU1NEZXT0zQW2V1Wr//mOkcAGeB1yIASdLm/GptLazRV8YN0wWMbgMAAMANbpuZquiwIK1cm6/2LqfpHABniGMSALV1OrV0dZ6iQ4P0q3nppnMAAADgo2KjQnXLjFQdrm/Ts9tLTecAOEMckwDo99tKdLi+Tb+Ymaq4aEa3AQAA4D7XTkrUqIGRemrbAR1taDOdA+AMcEwC/Fz36Hap0gdH69pJiaZzAAAA4OOCAwN0z4JMtXU5df/6AtM5AM4AxyTAj1mWpaW5eep0upSzcLSCGN0GAABAL5iWFqdpaQP1771HtPvgCdM5AE4TL0fAj71ir9K2whp9ddwwTRzR33QOAAAA/Mg9CzIVFGBTTm6eXC7LdA6A08AxCfBTbZ1O5eTaFR0apLsY3QYAAEAvGzUwSt+bnKR9lQ3653uHTecAOA0ckwA/9dTJ0e1bZzG6DQAAADNunJ6i2MgQ3b+hQM0dDtM5AE4RxyTAD5XVtuiZk6Pb37mQ0W0AAACYERMerNtmpammqUNPbi0xnQPgFHFMAvyMZVlasrp7dHv5FYxuAwAAwKyrJgxXxpA+em5HmQ4dbzWdA+AU8IoE/MzGvCptL6rR186L14QkRrcBAABgVmCATUuyM9XpdGnlOrvpHACngGMS4EdaOx1avsau6LAg3TWX0W0AAAB4hgtHxmr+mCHamFel10tqTecA+BIckwA/8uTW7tHt22amamB0qOkcAAAA4CN3zU1XaFCAcnLtcjhdpnMAfAGOSYCfKK1p1rPby5QxpI++zeg2AAAAPMzw/hH68dSRKqxq0l/ePmQ6B8AX4JgE+IFPjG4vzGJ0GwAAAB7pJ5eO0uA+YXpoU5HqWztN5wD4HLwoAT+wMe+YdhTX6srx8Tqf0W0AAAB4qIiQ7m3P+tYuPbq52HQOgM/BMQnwca2dDuXkMroNAAAA77Bw7FCdl9BX//vmQRVXNZnOAfAZOCYBPu6JV0t0pKFdt89K04AoRrcBAADg2Ww2m5ZkZ8npspSzxi7LskwnAfgUjkmADztQ06xnd5Qqc0gfXXNBgukcAAAA4JScO7yvrhwfrx3FtdqSX206B8CncEwCfJRlWVq6Ok9dTkvLr2B0GwAAAN7ljtlpigwJ1Iq1dnU4nKZzAHwMr0vAR23Y3z26/fXx8RqfyOg2AAAAvEtcnzDdcFmyyo+36oVd5aZzAHwMxyTAB7V2OpSzxq4+YUG6k9FtAAAAeKnrLhqhhP4RemxLiWqaOkznADiJYxLggx5/tURHG9r1y9mMbgMAAMB7hQUH6u75GWrucOjBjYWmcwCcxDEJ8DEl1c36445SZQ3to29dkGg6BwAAADgrszIH6aLkWP19d4U+qGwwnQNAHJMAn/Lx0e2chaMVGGAznQQAAACcFZvNpsULsmSTtCw3T5ZlmU4C/B7HJMCHrPvgmHaW1Oob58drfGI/0zkAAABAj0gbHK1rLkjUuwdPKPf9o6ZzAL/HMQnwES0dDq1Ye3J0ew6j2wAAAPAtt85MVUx4sO5bl6+2TqfpHMCvcUwCfMRHo9tz0hXL6DYAAAB8TL/IEP1iRoqONLTrme0HTOcAfo1jEuADSqqb9McdpRo9rI++NTHBdA4AAADgFtdcmKiUuCg9/doBHa5vM50D+C2OSYCXsyxLS1bnyeGytJzRbQAAAPiw4MAALc7OVHuXS/etLzCdA/gtjkmAl1v7wVG9XnJcV08YrnEJjG4DAADAt01JGagZGXHK3XdE75TXmc4B/BLHJMCLNXc4tHyNXTHhwbqD0W0AAAD4ibvnZyo40KZluXlyuSzTOYDf4ZgEeLHHtxSrqrFDv5ydpv6RIaZzAAAAgF4xYkCkrrtohPYfbtTLuytN5wB+h2MS4KVKqpv03M4yjRkWo28yug0AAAA/8/PLkjUgKkQPbCxQU3uX6RzAr3BMAryQZVlavCpPTsvS8isY3QYAAID/iQ4L1h2z01Xb3KknXi0xnQP4FY5JgBda8/5R7TrQPbo9dnhf0zkAAACAEVeOj9eYYTF6/vUyldW2mM4B/AbHJMDLNHc4tGKtXX0jgvXL2YxuAwAAwH8FBNi0ODtTXU5LK9faTecAfoNjEuBlHmN0GwAAAPjIhKT+yj53qDbnV2t7UY3pHMAvcEwCvEhRVZOe31mmc+JjdPUERrcBAAAASbprbrrCggO0fI1dXU6X6RzA53FMArxE9+j2/u7R7YWMbgMAAAAfGtY3XD+5ZJSKq5v15zcPms4BfB7HJMBL5L5/VG+W1unqCQk6l9FtAAAA4BN+PHWUhsaE6eFNRapr6TSdA/g0jkmAF2jucGjFmu7R7Ttmp5nOAQAAADxOeEig7pqXocZ2hx7ZVGQ6B/BpHJMAL/C7zUWqburQnXPS1Y/RbQAAAOAzZZ8zROcn9tOf3zqogmONpnMAn8UxCfBwhcea9Pzr5Tp3eF9ddf5w0zkAAACAx7LZbFqSnSVLUk6uXZZlmU4CfBLHJMCDfTi67bIsLV+YpQBGtwEAAIAvNCY+Rt8YP1y7DhzXK/Yq0zmAT+KYBHiw1fuO6K2yOn1zYoLOiWd0GwAAADgVt89OU1RokFauzVd7l9N0DuBzOCYBHqqpvUsr1uarX0SwfjmL0W0AAADgVA2MDtVN05N1qK5Vz79eZjoH8DkckwAP9bvNxaphdBsAAAA4I9+bPEJJsRF64tUSVTe2m84BfArHJMADFR5r0v/s6h7d/gaj2wAAAMBpCwkK0D3zM9Xa6dQDGwtN5wA+hWMS4GEsy9Kik6PbKxaOZnQbAAAAOEPTM+I0JWWAXt5dqX0V9aZzAJ/BMQnwMKv2HtHbZXW65oIEjYmPMZ0DAAAAeC2bzabFCzIVGGDT0tw8WZZlOgnwCRyTAA/S2N6lleu6R7dvZ3QbAAAAOGspg6L1nQsT9d6heq3ae8R0DuATOCYBHuTRTd2j23fNTVffCEa3AQAAgJ5wy4wU9Y0I1n3rC9Ta6TCdA3g9jkmAhyg41qgX3ijX2OF99fXxjG4DAAAAPaVvRIhum5mqY43tenrbAdM5gNfjmAR4AMuytPjfed2j21cwug0AAAD0tG9OTFDaoGg9s71UFXWtpnMAr8YxCfAA/957WG+X1+nbFyRq9DBGtwEAAICeFhQYoMXZmepwuHTf+gLTOYBX45gEGNbY3qWVawvUPzKE0W0AAADAjS5KHqDZWYO09oOjerP0uOkcwGtxTAIMe2RTkWqbO3TXnHTFRASbzgEAAAB82t3zMhUSGKBluXY5XZbpHMArcUwCDLIfadQLu8o1LqGvrhwfbzoHAAAA8HkJsRH6wZQRyj/aqL+9U2E6B/BKHJMAQyzL0pLV+yVJyxcyug0AAAD0lhumJWtgdKgeeqVQDW1dpnMAr8MxCTDkX+8d1jvlJ/TtCxndBgAAAHpTVGiQ7pyTruMtnXp8S7HpHMDrcEwCDGho69Jv1uUrNjJEt81kdBsAAADobV8dN0znxsfoT7vKdaCm2XQO4FU4JgEGdI9ud+quuYxuAwAAACYEBNi0ODtLDpelFWvspnMAr8IxCehl9iONevGNco1P7KevncfoNgAAAGDK+MR+umLsUG0trNHWwmrTOYDX4JgE9CKXy9LiVd2j2zkLsxjdBgAAAAy7c266woMDtXyNXV1Ol+kcwCtwTAJ60T/fO6x3D57Qdy5MVNZQRrcBAAAA04bEhOtnl45SaU2LXnzjoOkcwCtwTAJ6SUNbl+49Obp96yxGtwEAAABP8cOpIzWsb7ge3Vyk480dpnMAj8cxCeglj2wq0vGWTv1qXoZiwhndBgAAADxFWHCg7p6foaZ2hx7aVGQ6B/B4HJOAXpB3pEEvvlGu8xP76avjhpnOAQAAAPApc0cP1gUj+usvbx9S3pEG0zmAR+OYBLhZ9+h2niQpZ+FoRrcBAAAAD2Sz2bQ4O1OSlJNrl2VZhosAz8UxCXCzf+yp1O6DJ3TtpCRlDu1jOgcAAADA58gaGqOrJyTorbI6bdh/zHQO4LE4JgFu1NDapfvWF2hAVIh+MTPVdA4AAACAL3H7rFRFhwVp5bp8tXc5TecAHoljEuBGD20q7B7dnsvoNgAAAOANYqNCdfP0FFWeaNMfd5SazgE8EsckwE32H27QS28e1ISkfvrqeYxuAwAAAN7i2klJGjkwUk9uPaBjDe2mcwCPwzEJcIPu0e39stlsylk4WjYbo9sAAACAtwgJCtCiBZlq63Lq/g0FpnMAj8MxCXCDl/dUas+hel07KVEZQxjdBgAAALzNtLQ4XZo2UP9677D2HDphOgfwKByTgB72n9HtUEa3AQAAAC92z/xMBQXYtCzXLpfLMp0DeAyOSUAPe/CVQtW1dOrX89LVJ4zRbQAAAMBbJcdF6buTk7Svol7/eu+w6RzAY3BMAnrQB5UNeumt7tHtr4xjdBsAAADwdjdNT1H/yBDdv6FAzR0O0zmAR+CYBPQQl8vSolX7FcDoNgAAAOAzYsKDdfusNFU3deiprSWmcwCPwDEJ6CEv767U3op6fXdSEqPbAAAAgA+5asJwZQzpoz/uKNOh462mcwDjOCYBPaC+tVP3bSjQwOhQ3TIzxXQOAAAAgB4UGGDT4gWZ6nS69Jt1+aZzAOM4JgE94MPR7bvnZTC6DQAAAPigSaNiNW/MYG3IO6ZdJbWmcwCjOCYBZ+mDyob/z959x1dZH+wfv072TlgJhCwSyEbClIJCVBQZkbaO+qgVqq20VluLFm2VqShSa7U+Wm2fKrVaR2tbZYmigIooIC4yIIyQhJWwAknIPPfvDyA/EDA3kOR7xuf9evGHyX04Vw75Judckgu9/GmphvTqrAk5sabjAAAAAGgnvxmToQA/H81eWKCmZqfpOIAxlEnAeXA6LT3QMrqdxeg2AAAA4MHiO4do8ohkFe0+rFfWlpmOAxhDmQSch9fXlenLsoOaNCxJ6d0Z3QYAAAA83c9yU9Q9IkiPv7NRB2sbTMcBjKBMAs7RwdoGPXp8dHsUo9sAAACANwgJ8NO9Y9J0oLZRTywrNh0HMIIyCThHv1u6UQdqG/XAuAyFM7oNAAAAeI0J/Xqqf0KU/v7JdhXvOWw6DtDhKJOAc/BV+UH9Y02pLuzVWVf1Y3QbAAAA8CY+Pg7NyMtSs9PS7IUFsizLdCSgQ1EmAWfJ6bQ07b/HR7ezGd0GAAAAvFBOfJSuHhCnD4v36v2iCtNxgA5FmQScpdfWlenL8ir9aFiS0rqHm44DAAAAwJB7r0xTaICvHlxYoIYmp+k4QIehTALOwoGao6Pb0eGB+iWj2wAAAIBXi44I0u2X9FbJvlrN/3ib6ThAh6FMAs7CvKUbdbC2Ufczug0AAABA0q0X9VJ852A99d5mVR6uNx0H6BCUSYBNX5Yd1KtrSzU0mdFtAAAAAEcF+fvq/rGZOlzfpN+/s9F0HKBDUCYBNjQ7LU17c4N8Gd0GAAAA8A2js2I0LKWLXltXpg07qkzHAdodZRJgw2try/RVeZVuuaiXUmMY3QYAAADw/zkcDk3Py5RD0qwF+bIsy3QkoF1RJgGt2F/ToHlLixQTEahfXMboNgAAAIBTpXeP0A0XJmhtyQEt/GqX6ThAu6JMAlrxu6VFx0a3MxUW6Gc6DgAAAAAXNeXyNEUE+emRxYU60tBsOg7QbiiTgG/xeekBvbq2TN9J7qK8C3qYjgMAAADAhXUODdCvLk/Vzqo6/fmDrabjAO2GMgk4g2anpelv5h8b3c5idBsAAABAq24amqje0WH608rN2nnwiOk4QLugTALO4NW1pfp6R5VuvaiX+jC6DQAAAMAGf18fTRufqbpGp+YuKTIdB2gXlEnAaeyvadC8tzeqe0SQ7mR0GwAAAMBZGJnaTZelR+utL3dqbcl+03GANkeZBJzGvLeLVHWkUfePy2B0GwAAAMBZu39chvx9HZq9oEBOp2U6DtCmKJOAb1h/bHR7WEoXjWd0GwAAAMA5SO4Wph8N76Wvd1TpX+vLTccB2hRlEnCCo6PbG+Tnw+g2AAAAgPNzx6W91TUsQPPe3qjDdY2m4wBthjIJOME/1pRqw45DuvXiXuodzeg2AAAAgHMXEeSvX49O097qev3v8s2m4wBthjIJOGZfdb1+93aRukcE6ReXMroNAAAA4PxdMzBe2T0j9PxH27Rtb43pOECboEwCjpn39kYdqmvStPGZCmV0GwAAAEAb8PVxaPr4LDU2W5qzqNB0HKBNUCYBOjq6/dq6Mg3v3UVj+3Y3HQcAAACABxnSq7PGX9BDywr36MPiStNxgPNGmQSv1+y0NO2/G+Tv69Csq7IZ3QYAAADQ5n4zNkOBfj6avaBATc1O03GA80KZBK/3j0+3K3/nId16UbJ6R4eZjgMAAADAA/WMCtZPR6aouKJaL39aajoOcF4ok+DV9lbX63dLN6pHZJDuvLS36TgAAAAAPNhPR6aoR2SQHn93kw7UNJiOA5wzyiR4tUeXFDG6DQAAAKBDBAf46r4x6ao60qg/LNtkOg5wziiT4LU+235A//ysXBf36aox2YxuAwAAAGh/V/WL1aDETnrpk+3auPuw6TjAOaFMglc6cXR75lVZjG4DAAAA6BAOh0Mz8rJkSZq9MF+WZZmOBJw1yiR4pZc/3a6CXYf044uTldKN0W0AAAAAHadvXKSuHRinVZv36d2CPabjAGeNMgle5/jodiyj2wAAAAAMuWd0msIC/fTQokLVNzWbjgOcFcokeJ25S4p0+NjodkgAo9sAAAAAOl50eJDuuLS3SvfX6vmPSkzHAc4KZRK8yrqS/frXsdHtKxndBgAAAGDQj4YnKbFLiP73/WJVHKozHQewjTIJXqOp2alpb+bL39ehWYxuAwAAADAs0M9XD4zLVE1Ds+Yt3Wg6DmAbZRK8xsuflqpw1yHdNiJZyYxuAwAAAHABozKidXGfrvrXZ+X6suyg6TiALZRJ8AqVh+v12DtHR7d/fgmj2wAAAABcg8Ph0LTxmfL1cWjWgnxZlmU6EtAqyiR4heOj29PzGN0GAAAA4FpSY8J104UJWl96UG99udN0HKBVlEnweGtL9uuN9eUakdpNo7MY3QYAAADgen51eaqiQvz1yOIi1TY0mY4DfCvKJHi0pmanpv13gwJ8fRjdBgAAAOCyokICNOXyVO0+VKdnV2wxHQf4VpRJ8Gh//2S7inYf1m0jktWra6jpOAAAAABwRjcMSVBqTJie+2Cryg/Umo4DnBFlEjxWxeE6Pf7OJvWMCmZ0GwAAAIDL8/P10Yy8LNU3OfXIkiLTcYAzokyCx5q7pEiH65s0bXymggN8TccBAAAAgFYN791Vl2fGaNFXu/Tp1n2m4wCnRZkEj7Rm2379e/0OjUztptFZMabjAAAAAIBt94/NOLr7uqBAzU7LdBzgFJRJ8DhNzU5Nf/Po6PZMRrcBAAAAuJmkrqG65aJeKth1SK+vKzMdBzgFZRI8zourj45uTx7J6DYAAAAA93THpb3VLTxQjy3dqEN1jabjACehTIJHqThUpz+8e3R0+/ZcRrcBAAAAuKewQD9NHZ2mfTUNeuq9YtNxgJNQJsGjPHJsdHtGHqPbAAAAANzb1QPidEFcpF5YVaItldWm4wAtKJPgMT7duk//+XyHctO66fJMRrcBAAAAuDcfH4dm5GWqyWlpzqJC03GAFpRJ8AiNzU5NfzP/6Oh2HqPbAAAAADzDwMTOmpATq/eLKrR8Y4XpOIAkyiR4iBdXb9fGPYf105HJSmJ0GwAAAIAHuW9MuoL9ffXQwgI1NjtNxwHMlklJSUlKT09XTk6OcnJy9Nprr5mMAzd1fHQ7rlOwfsboNgAAAAAP0yMyWD/LTdGWyhr9ffV203EA+ZkO8K9//UvZ2dmmY8CNPby4UNX1TfrDD3IY3QYAAADgkW4bkazX1pbpD8s2aUJOrLqEBZqOBC/Gj7nBrX2ydZ/++8VOXZoerVEZ0abjAAAAAEC7CPL31W/GputwXZMef3eT6TjwcsbLpBtvvFF9+/bVj3/8Y1VWVp7y/scff1xxcXEtv6qr+ecQcdTR0e0NCvDz0Yy8TEa3AQAAAHi0cX17aEhSZ72yplQFOw+ZjgMvZrRM+uCDD/Tll19q/fr16tKliyZOnHjKNVOmTFF5eXnLr7CwMANJ4Yr+9nGJNu2p1k9HpiixC6PbAAAAADybw+HQ9LxMWZJmL8yXZVmmI8FLGS2TEhISJEn+/v6666679OGHH5qMAzey51CdnlhWrLhOwbo9N8V0HAAAAADoENk9I3X94Hh9snW/3t6w23QceCljZVJNTY0OHjzY8t+vvPKK+vfvbyoO3Mzx0e2ZeVkK8md0GwAAAID3uPuKNIUH+mnO4kLVNTabjgMvZKxM2rNnjy655BJdcMEF6tu3r1auXKkXX3zRVBy4kdVb9unNL3bqsvRojcqMMR0HAAAAADpU17BA/eKyPio/cER//Wib6TjwQn6m7jg5OVmff/65qbuHmzp5dDvLdBwAAAAAMGLisCT9Y02pnl6+WVcPiFP3yCDTkeBFjP9rbsDZmL+qRMUV1bo9N0UJXUJMxwEAAAAAIwL8fDRtfIZqG5o17+0i03HgZSiT4DaOjm5vUnznYP10JKPbAAAAALzbJWnRGpnaTf/+fIfWlx4wHQdehDIJbmPOokLVNDQzug0AAAAAkhwOh6aNz5Cfj0OzFhTI6bRMR4KXoEyCW/h4y1699eVOjcqI1mUZjG4DAAAAgCT1jg7XD7+TqC/LDuq/X+wwHQdegjIJLu/o6Ha+AhndBgAAAIBT3HVZqjqF+GvukiLV1DeZjgMvQJkEl/fCqm3aXFGt23N7K74zo9sAAAAAcKLIEH/dfUWaKg7X65kVm03HgRegTIJL21V1RE8sK1ZC5xBNHplsOg4AAAAAuKT/GZKg9O7h+suH21S6r9Z0HHg4yiS4tDmLClXb0KyZV2Uyug0AAAAAZ+Dr49D0vEw1NDn18OJC03Hg4SiT4LI+3rxXC7/apVEZMbo0ndFtAAAAAPg2w1K66sqs7no7f7c+3rLXdBx4MMokuKSGJqemv3V8dDvTdBwAAAAAcAu/HZuhAD8fzV5QoKZmp+k48FCUSXBJx0e3f34Jo9sAAAAAYFdClxD95OJeKtp9WK+uLTMdBx6KMgkuZ1fVET35XrESu4TothGMbgMAAADA2bg9t7eiwwP1+3c2qqq20XQceCDjaPdXAAAgAElEQVTKJLich1pGt7MY3QYAAACAsxQa6Kf7xqTrQG2jnnhvk+k48ECUSXApHxXv1aKvdunyzBhdkhZtOg4AAAAAuKXv5vRUv/govbh6uzZXHDYdBx6GMgku4+jo9gYF+vlo+nhGtwEAAADgXPn4ODQjL1PNTkuzFxbKsizTkeBBKJPgMp5ftU1bK2t0B6PbAAAAAHDeBiR00vf799QHmyq1fGOF6TjwIJRJcAk7Dx7RH98rVlKXEP2E0W0AAAAAaBNTr0xXSICvHlxYqIYmp+k48BCUSXAJcxjdBgAAAIA21z0ySD+/pLe27a3R3z4uMR0HHoIyCcZ9WFypRV/v0uisGOUyug0AAAAAberWi3oprlOw/vhesfZW15uOAw9AmQSj6puaNePNfAX5+2gao9sAAAAA0OaC/H11/9gMHa5v0u/f2Wg6DjwAZRKM+utH27R179HR7bhOjG4DAAAAQHu4Mru7hiZ31qtry7RhR5XpOHBzlEkwZsfBI3rqvc2MbgMAAABAO3M4HJo+PksOSbMXFMiyLNOR4MYok2DMnEUFOtJ4dHQ70I/RbQAAAABoT5mxEfqfIQlaU7Jfi77eZToO3BhlEoz4YFOlFn+9W1dmdWd0GwAAAAA6yJTLUxUe5KdHFhfpSEOz6ThwU5RJ6HD1Tc2a+dax0e08RrcBAAAAoKN0CQvUXaNStePgEf35g62m48BNUSahw/3fh0dHt++8tI96RgWbjgMAAAAAXuXm7yQqpVuo/rRys3YePGI6DtwQZRI61I6DR/TU+8Xq1TVUP764l+k4AAAAAOB1/H19NG18puoanXr07SLTceCGKJPQoR5cUKC6Riej2wAAAABgUG5atC5Nj9abX+zUupL9puPAzVAmocOs3FSpt/N3a0x2d41M7WY6DgAAAAB4tfvHZcjPx6FZCwrkdFqm48CNUCahQxwf3Q7299UD4xndBgAAAADTUrqFadKwJH29o0r/Wl9uOg7cCGUSOsT/fbhN2/bW6M7LejO6DQAAAAAu4s7L+qhLaIDmvb1Rh+saTceBm6BMQrsrP1Crp94vVnK3UP34omTTcQAAAAAAx0QG++ue0WnaW12vp5dvMR0HboIyCe3uwYVHR7dnXZWlAD8+5QAAAADAlVw3KF6ZPSL0/EfbVLK3xnQcuAFe2aNdLd9YoaX5ezS2b3dd3IfRbQAAAABwNb4+Ds3Iy1RDs1NzFheajgM3QJmEdlPf1KxZx0e3xzG6DQAAAACu6sLkLhrXt4feLdijD4srTceBi6NMQrv5ywdbVbKvVr+4rI9iGd0GAAAAAJd235h0Bfr56MGFBWpqdpqOAxdGmYR2Uba/Vv+7fLOSu4Xq1ot6mY4DAAAAAGhFfOcQTR6RrE17qvWPNaWm48CFUSahXRwf3Z59VTaj2wAAAADgJn6am6LuEUH6/TubdKCmwXQcuChe5aPNLS+q0DsFezTugh66qE9X03EAAAAAADaFBPjpN2PTVXWkUU8s22Q6DlwUZRLaVF1js2YuyFdIgK8eGJdhOg4AAAAA4Cxd1S9WAxKi9NKnpdq4+7DpOHBBlEloU3/+YKu2Hxvd7hHJ6DYAAAAAuBuHw6EZeVlqdlp6cGGBLMsyHQkuhjIJbaZsf62eXr5ZKd1CdctwRrcBAAAAwF31i4/SNQPj9NHmvVpWWGE6DlwMZRLazOyFBapvcmr2BEa3AQAAAMDdTR2dptAAXz20qED1Tc2m48CF8IofbeL9oj16t2CPxl/QQ8N7M7oNAAAAAO4uOiJId1zaR9v31eqFVSWm48CFUCbhvNU1NmvmWwXHRrczTccBAAAAALSRWy5KUkLnED31XrEqDteZjgMXQZmE8/bcyq0q3V+ru0b1UffIINNxAAAAAABtJNDPV/ePy1BNQ7N+9/ZG03HgIiiTcF5K99XqmRWb1Sc6TD9idBsAAAAAPM4VmTEa3ruL/vlZub4qP2g6DlwAZRLOy+yF+apvcmrWhCz5+/LpBAAAAACexuFwaPr4LPk4pFkLCmRZlulIMIxX/zhn7xXu0bLCCuX1i9WwFEa3AQAAAMBTpXUP101DE/XZ9gN668udpuPAMMoknJO6xmbNXJCv0ABf3T82w3QcAAAAAEA7+9WoVEUG+2vukiLVNjSZjgODKJNwTp5duUVl+4/orlGpjG4DAAAAgBfoFBqgX43qo11VdXp25VbTcWAQZRLO2tHR7S3qEx2mScOTTMcBAAAAAHSQG4cmqk90mJ5buUXlB2pNx4EhlEk4a7MW5KuhyanZE7IZ3QYAAAAAL+Lv66PpeZmqb3Jq7pIi03FgCE0Azsqygj16r6hCE3Ji9Z2ULqbjAAAAAAA62MV9umlURowWfrVLa7btNx0HBlAmwbYTR7d/y+g2AAAAAHit+8dlyN/XoVkL8tXstEzHQQejTIJtf1qxReUHjuhXl6cqJoLRbQAAAADwVr26huqW4b2Uv/OQXl9XZjoOOhhlEmzZvq9Gf1q5RakxYZo4LMl0HAAAAACAYXdc2ltdwwL12NKNOlTXaDoOOhBlElplWZZmvsXoNgAAAADg/wsP8tfU0WnaV9Ogp94rNh0HHYhWAK1aVlih5Rsr9d2cWA1NZnQbAAAAAHDUNQPj1LdnpOZ/XKKtldWm46CDUCbhWx1paNbMt/IVFujH6DYAAAAA4CQ+Pg5Nz8tUY7OlOYsKTcdBB6FMwrf604rN2nHw6Oh2NKPbAAAAAIBvGJzUWXn9YvVeUYVWbKwwHQcdgDIJZ1Syt0bPrtyqtJhwTfxOouk4AAAAAAAXdd+YdAX5++jBhQVqbHaajoN2RpmE07IsSzMX5Kuh2anZE7Lkx+g2AAAAAOAMekYF66cjU7SlskZ/X73ddBy0MxoCnNa7BXu0YmOlvte/py5kdBsAAAAA0IrJI1IUGxmkJ5Zt0v6aBtNx0I4ok3CKIw3NmrWgQOGBfvrN2HTTcQAAAAAAbiA4wFe/GZuhQ3VNevzdjabjoB1RJuEUz5w4uh3O6DYAAAAAwJ7xF/TQ4KRO+senpSrcdch0HLQTyiScZNveGj23cqvSu4frZka3AQAAAABnweFwaPr4LFmSZi8okGVZpiOhHVAmoYVlWZr51vHR7WxGtwEAAAAAZ61vXKSuGxiv1Vv3aWn+btNx0A5oC9DinYI9WrmpUt/v31NDenU2HQcAAAAA4KbuGZ2msEA/zVlcqLrGZtNx0MYokyDp6Oj27GOj2/cxug0AAAAAOA/dwgP1i8t6q2z/Ef31o22m46CNUSZBkvT08qOj21OuYHQbAAAAAHD+Jg3rpaQuIXp6+WbtOVRnOg7aEGUStLWyWn/+4Ojo9g+HMroNAAAAADh/AX4+emBcpmobmvXo20Wm46ANUSZ5OcuyNOPY6PaD32V0GwAAAADQdi7LiNbFfbrq3+t36PPSA6bjoI3QHHi5pfm79WHxXl09IE6DkxjdBgAAAAC0HYfDoenjM+Xr49CsBQVyOi3TkdAGKJO8WG1D09HR7SA/3TeG0W0AAAAAQNvrE3N0UuWLsoN688sdpuOgDVAmebGnl2/Wzqo63X15qrqFB5qOAwAAAADwUL8alapOIf6au6RINfVNpuPgPFEmeanjo9sZPSJ0E6PbAAAAAIB2FBnirymXp2rPoXr9acUW03FwniiTvNDx0e3GZksPTshidBsAAAAA0O7+Z0iC0mLC9ecPt6psf63pODgPtAhe6O0NR0e3rxkYp0GMbgMAAAAAOoCfr4+m52WqocmpR5YUmo6D80CZ5GVqG5o0eyGj2wAAAACAjje8d1eNzorR4q93a/WWfabj4BxRJnmZp97frF1Vdfr16DR1DWN0GwAAAADQse4fm6kAXx/NWpCvZqdlOg7OAWWSF9lSWa3/+3CrsmIjdOOFjG4DAAAAADpeQpcQ/fjiXirafVivri01HQfngDLJS1iWpZnHRrdnT8iWr4/DdCQAAAAAgJe6/ZLe6hYeqMeWblRVbaPpODhLlEleYsmx0e1rB8ZpYGIn03EAAAAAAF4sLNBP916ZrgO1jXryvWLTcXCWKJO8QE19kx5cWKCIID/dy+g2AAAAAMAFfL9/T/WLi9SLq0u0uaLadBycBcokL8DoNgAAAADA1fj4ODQ9L0tNTksPLSowHQdngTLJw22uONwyun0Do9sAAAAAABcyMLGTvte/p1ZsrNTyogrTcWATZZIHsyxLM97KV5PT0oPfZXQbAAAAAOB67r0yXcH+vnpwYYEampym48AGyiQPtujrXVq1eZ+uGxSnAQmMbgMAAAAAXE/3yCDdnpuirXtr9OLqEtNxYANlkoeqqW/SQwsLj45uX8noNgAAAADAdf1kRLJ6RgXryfeKtbe63nQctIIyyUP98f1i7T5Up19fma4ujG4DAAAAAFxYkL+v7h+XocN1Tfr9O5tMx0ErKJM80OaKw/rrh9uU3TNCNwxJMB0HAAAAAIBWjcnurgt7ddara0uVv7PKdBx8C8okD2NZlqa/eWx0ewKj2wAAAAAA9+BwODQ9L1MOSbMWFMiyLNORcAaUSR5m4Ve79PGWfbp+cLz6M7oNAAAAAHAjWbGR+sHgBK3Ztl+Lv95tOg7OgDLJg1TXN+mhRQWKDPbXVEa3AQAAAABu6J4rUhUe5KeHFxeqrrHZdBycBmWSB3nqvWLtOVSvX49OU+fQANNxAAAAAAA4a13CAvXLy/pox8Ej+ssHW03HwWlQJnmI4j2H9dePtqlvz0j9D6PbAAAAAAA3dvN3kpTcLVTPrNiiXVVHTMfBN1AmeYDjo9vNlqUHv8voNgAAAADAvQX4+Wja+EwdaWzWo0uKTMfBN1AmeYAFX+3S6q1HR7dz4qNMxwEAAAAA4Lxdkhat3LRu+u8XO/XZ9gOm4+AElElurrq+SQ8tLFBUiL9+PZrRbQAAAACA53hgXKb8fByavSBfTqdlOg6OoUxyc08u26SKw/WaOjqd0W0AAAAAgEfpHR2micOS9GV5lf79+Q7TcXAMZZIb27TnsJ5fVaJ+cZH6weB403EAAAAAAGhzv7isjzqHBujRt4tUXd9kOg5EmeS2jo5ub5DTsjR7AqPbAAAAAADPFBnsr3uuSFPl4Xo9vXyz6TgQZZLbeuvLnfpk635dPzhB/RjdBgAAAAB4sB8MjldGjwj99cNt2r6vxnQcr0eZ5IYO1zVqzqJCRYX4a+roNNNxAAAAAABoV74+Ds3Iy1RDs1MPLy40HcfrUSa5oSeXFavicL3uvTJdnRjdBgAAAAB4gaHJXTS2b3ctzd+jVZv3mo7j1SiT3MzG3Yf1wscl6hcfpR8MYnQbAAAAAOA9fjMmQwF+Ppq9oEBNzU7TcbwWZZIbsSxL046Nbj84IUs+jG4DAAAAALxIfOcQTR6RrI17DuuVNaWm43gtyiQ38uYXO7Vm237dMCRBF8Qxug0AAAAA8D4/y01R94gg/f7dTTpY22A6jleiTHITh+saNWdxoTqF+OvXjG4DAAAAALxUSICf7huTroO1jXpiWbHpOF6JMslNPLGsWJXHRrejQhjdBgAAAAB4rwk5seqfEKW/f7JdxXsOm47jdSiT3EDR7kOaf2x0+zpGtwEAAAAAXs7hcGhGXpaanZZmLyyQZVmmI3kVyiQXZ1mWpv83X07L0kMTshndBgAAAABAUk58lK4eEKcPi/fqvcIK03G8CmWSi/vvFzu0pmS/brwwQX3jIk3HAQAAAADAZdx7ZZpCA3z10KIC1Tc1m47jNSiTXNihukbNWVSkzqEBuucKRrcBAAAAADhRdESQfn5pb5Xsq9X8VSWm43gNyiQX9sS7xdpbXa/7GN0GAAAAAOC0bhneS/Gdg/XU+5tVebjedByvQJnkogp3HdLfVpcoJz5K1wyMMx0HAAAAAACXFOTvq/vHZqq6vkmPLd1oOo5XoExyQZZlafqbG46Obn+X0W0AAAAAAL7N6KwYDUvpotc/K9PX5VWm43g8yiQX9J/Pd2htyQHddGGisnsyug0AAAAAwLdxOByanpcph6RZC/JlWZbpSB6NMsnFVB1p1MOLCxndBgAAAADgLKR3j9CNFyZ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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x151cc0d588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# find lhs such that res == 0 and substitute this lhs in the namespace\n",
    "# lhs = solver.solve_linear('lhs', res, constrain=cons)\n",
    "lhs = solver.solve_linear('lhs', res, constrain = cons)\n",
    "ns = ns(lhs=lhs)\n",
    "\n",
    "# plot solution\n",
    "plt.figure()\n",
    "bezier = primalDomain.sample('bezier', 9)\n",
    "x, u = bezier.eval([ns.x, ns.u])\n",
    "#x, analytical = bezier.eval([ns.x, ns.analytical])\n",
    "fig=plt.figure(figsize=(18, 16), dpi= 80, facecolor='w', edgecolor='k')\n",
    "conventionalText = 'The figure above shows the result using conventional test functions.'\n",
    "fig.text(.1,.05, conventionalText, fontsize=20)\n",
    "plt.plot(x, u)\n",
    "#plt.plot(x, analytical, 'r')\n",
    "# plt.ylim(-2,2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Solution of the primal problem using the optimized basis\n",
    "\n",
    "#### Boundary conditions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "ns.gl = 1\n",
    "ns.gr = 0\n",
    "ns.f = 0\n",
    "ns.C = ' vel '\n",
    "\n",
    "ns.u = 'primalBasis_n ?lhs_n'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "optimize > iter 1 > solve > solver returned with residual 0e+00\n",
      "optimize > constrained 2/3 dofs\n"
     ]
    }
   ],
   "source": [
    "#primalDomain\n",
    "#fineDomain\n",
    "\n",
    "#primalBasis\n",
    "#optiBasis\n",
    "\n",
    "# construct residual\n",
    "# Element integrals\n",
    "# Diffusive part and RHS\n",
    "res = fineDomain.integral('k optiBasis_n,0 u_,0 - optiBasis_n f' @ ns, geometry=ns.x, degree=fineDegree*3)\n",
    "## Advective part\n",
    "res += fineDomain.integral('-vel optiBasis_n,0 u' @ ns, geometry=ns.x, degree=fineDegree*3)\n",
    "## SUPG stabilized part\n",
    "#res += domain.integral(' tau v basis_n,0 (v u_,0 - k (u_,0)_,0 - f )' @ ns, geometry=ns.x, degree=5)\n",
    "\n",
    "## Interface integrals\n",
    "## Diffusive part\n",
    "##    part one                      |\n",
    "##                                  v  minus might be necessary here because of jump definitions (likewise on second +)\n",
    "#res += domain.interfaces.integral(' [basis_n] n_0 k {u_,0} + beta k {basis_n,0} [u] n_0' @ ns, geometry=ns.x, degree=degree*2)\n",
    "##    part two (stabilized)\n",
    "#res += domain.interfaces.integral(' tauA [basis_n] n_0 [u] n_0' @ ns, geometry=ns.x, degree=degree*2)\n",
    "## Advective part\n",
    "#res += domain.interfaces.integral('- v [basis_n] n_0 ({u} - .5 C [u] n_0)' @ ns, geometry=ns.x, degree=5)\n",
    "\n",
    "## Boundary integrals LHS\n",
    "##    part one\n",
    "#res += domain.boundary.integral('- k basis_n u_,0 + beta k basis_n,0 u ' @ ns, geometry=ns.x, degree=degree*2)\n",
    "##    part two (stabilized)\n",
    "#res += domain.boundary['left'].integral(' tauZero basis_n u ' @ ns, geometry=ns.x, degree=degree*2)\n",
    "#res += domain.boundary['right'].integral(' tauN basis_n u ' @ ns, geometry=ns.x, degree=degree*2)\n",
    "\n",
    "## Boundary integrals RHS (weakly imposed boundary conditions) (including stabilization)\n",
    "## Diffusive part\n",
    "#res -= domain.boundary['left'].integral(' ( beta k basis_n,0 + tauZero basis_n) gl ' @ ns, geometry=ns.x, degree=degree*2)\n",
    "#res -= domain.boundary['right'].integral(' ( beta k basis_n,0 + tauN basis_n) gr ' @ ns, geometry=ns.x, degree=degree*2)\n",
    "## Advective part\n",
    "#res += domain.boundary['left'].integral('v basis_n n_0 (0.5 (gl + u) - .5 C (gl - u) n_0)' @ ns, geometry=ns.x, degree=degree*2)\n",
    "#res += domain.boundary['right'].integral('v basis_n n_0 (0.5 (gr + u) - .5 C (gr - u) n_0)' @ ns, geometry=ns.x, degree=degree*2)\n",
    "\n",
    "sqr = fineDomain.boundary['left'].integral('(u - gl)^2' @ ns, geometry=ns.x, degree=fineDegree*3)\n",
    "sqr += fineDomain.boundary['right'].integral('(u - gr)^2' @ ns, geometry=ns.x, degree=fineDegree*3)\n",
    "cons = solver.optimize('lhs', sqr, droptol=1e-15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "solve > solver returned with residual 0e+00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/rene/Box Sync/nutils/nutils/warnings.py:30: NutilsWarning: using explicit inflation; this is usually a bug.\n",
      "  warnings.warn(message, category, stacklevel=stacklevel)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x151fea1cf8>]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x151fe17f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x151fe71748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# find lhs such that res == 0 and substitute this lhs in the namespace\n",
    "# lhs = solver.solve_linear('lhs', res, constrain=cons)\n",
    "lhs = solver.solve_linear('lhs', res, constrain = cons)\n",
    "ns = ns(lhs=lhs)\n",
    "\n",
    "# plot solution\n",
    "plt.figure()\n",
    "bezier = primalDomain.sample('bezier', 9)\n",
    "x, u = bezier.eval([ns.x, ns.u])\n",
    "#x, analytical = bezier.eval([ns.x, ns.analytical])\n",
    "fig=plt.figure(figsize=(18, 16), dpi= 80, facecolor='w', edgecolor='k')\n",
    "optiText = 'The figure above shows the result using optimized test functions.'\n",
    "fig.text(.1,.05, optiText, fontsize=20)\n",
    "plt.plot(x, u)\n",
    "#plt.plot(x, analytical, 'r')\n",
    "# plt.ylim(-2,2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}