examples/RealNVP.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "# Normalizing Flow Example: Real NVP\n",
    "\n",
    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/EmoryMLIP/DeepGenerativeModelingIntro/blob/main/examples/RealNVP.ipynb)\n",
    "\n",
    "## Some References\n",
    "\n",
    "- Original work by [Dinh, Laurent and Sohl-Dickstein, Jascha and Bengio, Samy (2016)](https://arxiv.org/abs/1605.08803)\n",
    "- Similar tutorial by [Arsenii Senya Ashukha](https://github.com/senya-ashukha/real-nvp-pytorch)\n",
    "- Section 3.1 of our paper  [Introduction to Deep Generative Modeling](https://arxiv.org/abs/2103.05180)\n",
    "\n",
    "## Short Mathematical Description\n",
    "\n",
    "We train the generator by minimizing the negative log-likelihood of the samples:\n",
    "\n",
    "\\begin{equation}\n",
    "    \\newcommand{\\bftheta}{\\boldsymbol{\\theta}}\n",
    "    \\newcommand{\\bfx}{\\mathbf{x}}\n",
    "    \\newcommand{\\bfz}{\\mathbf{z}}\n",
    "    \\newcommand{\\bfy}{\\mathbf{y}}\n",
    "\\min_{\\bftheta}  \\frac{1}{s} \\sum_{i=1}^s \\left( {\\frac{1}{2}}\\left\\| g_{\\bftheta}^{-1}\\left(\\bfx^{(i)}\\right)\\right\\|^2 - \\log\\det\\nabla  g_{\\bftheta}^{-1}\\left(\\bfx^{(i)}\\right) \\right),\n",
    "\\end{equation}\n",
    "where $\\bfx^{(1)}, \\ldots$ are sampled i.i.d. from the data distribution. Here, the idea is to use a generator like\n",
    "\\begin{equation*}\n",
    "    g_{\\bftheta}(\\bfz) = f_K \\circ f_{K-1} \\circ \\cdots \\circ f_1(\\bfz)\n",
    "\\end{equation*}\n",
    "to obtain a tractable inverse and log-determinant."
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "outputs": [],
   "source": [
    "# install requirements  (Colab only)\n",
    "import sys,os\n",
    "if 'google.colab' in sys.modules:\n",
    "    dgm_dir = '/content/DeepGenerativeModelingIntro/'\n",
    "    if not os.path.exists(dgm_dir):\n",
    "        !git clone git://github.com/EmoryMLIP/DeepGenerativeModelingIntro.git\n",
    "\n",
    "    sys.path.append(os.path.dirname(dgm_dir))"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import torch\n",
    "from torch import nn\n",
    "import numpy as np\n",
    "from torch import distributions\n",
    "from sklearn import datasets\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "plt.rcParams.update({'font.size': 16})\n",
    "plt.rcParams.update({'image.interpolation' : None})\n",
    "plt.rcParams['figure.figsize'] = [10, 7]\n",
    "plt.rcParams['figure.dpi'] = 200"
   ]
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Some suggested experiments\n",
    "\n",
    "1. reduce the widths of the moon shapes so that the intrinsic dimensionality reduces to one\n",
    "1. try the other dataset or create your own more challenging distribution\n",
    "1. vary the hyperparameters (learning rate, number of layers, width, ...) and see how the performance changes\n",
    "1. (for later as this takes more time) use a different layer with tractable inverse and log-determinant\n",
    "\n",
    "## Setup the Dataset and Plotting"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0.5, 1.0, 'dataset: uniform $\\\\mathbf{x}^{(i)}$')"
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 2400x1600 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataset = 'moons'\n",
    "# dataset = 'uniform'\n",
    "\n",
    "if dataset == 'moons':\n",
    "    # grid of the spatial domain (for plotting)\n",
    "    domain = (-1.2, 2.1, -1.2, 2.1)\n",
    "\n",
    "    def get_data(batch_size,noise=0.05):\n",
    "        return torch.tensor(datasets.make_moons(n_samples=batch_size, noise=noise)[0], dtype=torch.float32)\n",
    "elif dataset == 'uniform':\n",
    "    domain = (-1.0, 3.0, -1.0, 3.0)\n",
    "    def get_data(batch_size):\n",
    "        return torch.rand((batch_size,2)) + 1.0\n",
    "else:\n",
    "    print(\"incorrect dataset\")\n",
    "\n",
    "# grid of the spatial domain (for plotting)\n",
    "x1 = torch.linspace(domain[0],domain[1], 100)\n",
    "x2 = torch.linspace(domain[2],domain[3], 100)\n",
    "xg = torch.meshgrid(x1, x2)\n",
    "xx = torch.cat((xg[0].reshape(-1, 1), xg[1].reshape(-1, 1)), 1)\n",
    "\n",
    "from plotting import *\n",
    "\n",
    "xs = get_data(1000)\n",
    "plot_x(xs,domain)\n",
    "plt.title(\"dataset: %s\" % (dataset))"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Choose the Network Architecture\n",
    "\n",
    "We write the generator as\n",
    "\n",
    "\\begin{equation*}\n",
    "    \\newcommand{\\bftheta}{\\boldsymbol{\\theta}}\n",
    "\t\\newcommand{\\bfz}{\\mathbf{z}}\n",
    "\t\\newcommand{\\bfy}{\\mathbf{y}}\n",
    "\t\\newcommand{\\bfm}{\\mathbf{m}}\n",
    "\tg_{\\bftheta}(\\bfz) = f_K \\circ f_{K-1} \\circ \\cdots \\circ f_1(\\bfz)\n",
    "\\end{equation*}\n",
    "\n",
    "Here we are using the Real NVP layer\n",
    "\n",
    "\\begin{equation*}\n",
    "f_j\\left(\\bfy^{(j)}\\right) = \\bfm^{(j)} \\odot \\bfy^{(j)} + (1-\\bfm^{(j)}) \\odot \\left(y^{(j)} \\odot \\exp\\left(s( \\bfy^{(j)} \\odot \\bfm^{(j)})\\right) + t\\left(\\bfy^{(j)} \\odot \\bfm^{(j)}\\right)\\right),\n",
    "\\end{equation*}\n",
    "\n",
    "where $\\bfm^{j} \\in \\{0,1\\}^n$ is used to mask some components of the inputs. Below, we alternate between the first and second coordinate."
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "outputs": [],
   "source": [
    "width = 128   # width of neural net layers\n",
    "K = 6         # number of layers\n",
    "\n",
    "from realNVP import NF, RealNVPLayer\n",
    "\n",
    "layers = torch.nn.ModuleList()\n",
    "for k in range(K):\n",
    "    m = torch.tensor([1 - (k % 2), k % 2])\n",
    "    t = nn.Sequential(nn.Linear(2, width), nn.LeakyReLU(), nn.Linear(width, width), nn.LeakyReLU(), nn.Linear(width, 2),\n",
    "                      nn.Tanh())\n",
    "    s = nn.Sequential(nn.Linear(2, width), nn.LeakyReLU(), nn.Linear(width, width), nn.LeakyReLU(), nn.Linear(width, 2),\n",
    "                      nn.Tanh())\n",
    "    layer = RealNVPLayer(s, t, m)\n",
    "    layers.append(layer)\n",
    "\n",
    "prior = distributions.MultivariateNormal(torch.zeros(2), torch.eye(2))\n",
    "flow = NF(layers, prior)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Train the Generator\n",
    "\n",
    "Here, we use ADAM, a stochastic approximation scheme that operates on minibatches."
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------ K=6, width=128, batch_size=256, num_steps=10000------\n",
      "   step       J_ML    \n",
      "001000   -5.0168e+00  \n",
      "002000   -5.8390e+00  \n",
      "003000   -5.8698e+00  \n",
      "004000   -5.8846e+00  \n",
      "005000   -5.8916e+00  \n",
      "006000   -5.8968e+00  \n",
      "007000   -5.8993e+00  \n",
      "008000   -5.9021e+00  \n",
      "009000   -5.9036e+00  \n",
      "010000   -5.9055e+00  \n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 2400x1600 with 3 Axes>",
      "image/png": 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     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 2400x1600 with 3 Axes>",
      "image/png": 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     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 2400x1600 with 3 Axes>",
      "image/png": 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+3ijbux1B8IU2nANAFyAQDqDfPFnzc5rMksQT0spF1qhUT71VjBcljXuyi+rJLeBcyQKf1/KYd1dKI/lWn9ZuG89rXE106rwAAKB3tWUu2IfatvCxMifdJXfx8cGc+36nMd7pAQAAgL5WPU9N04Kndn7rzSTvtWuV1toXJb1Y5+HapJ08jLfhHAC6AIFwAP3mUzU/tzqxbPa8w3ITphcTZAs1Ki3e7LmZVUoivSv3+l6w1t7XpPRkbEzGmE6WR29rhhIAAOhp7ZoL9oOFdp6ssjDzNbn3+aJcJnjSkqDtxNwTAAAElbEFT/U1uUZVi3rmWmWk0gPcd75nKtcz24G5H9DnCIQD6De1E7kzSZ7kCfTWnZBWygxFF0ob9dWJjpl09eR4wv0SMcZsrlxsPKDli41JVlT6LkgGHVtC39OBcwIAgN6W+1ywT43nefBKhtJrkqYUMAheme8eMMbYSgugLJh7AgCAvLTUH7xyDbLaSw326/prlbWMMc81OMeBFJnrrWDuBwwIAuEA+s141Z8vpujtmGZCGk0o55rsN97gMUlSzfODlRuqXAh8U+5i44vW2jRlJ9/0bOtERvh45X6hA+cGAAC9abzqz3nNBftCXvPQWpVFBt+Sm08WK/PShQDHfUZu3hplC2VdvDBeuV/IeBwAAIBa1S14Ei3UrNhd83O9qkVdf62yVuXaZTTuevO4VyoLKvMQHXchp+MD6BIEwgH0m+qAbZoLmIl6QlZWWEarEb/YYL/qcSQtsTOecL+GjDHPa2Uv8GdTHsI33k4EwqPJdt9fiAYAAMHkOhesp1L2+4AxZt4Y81rlvpOtZdIaz+Oglbnza5XjH7fWPhLouLvkqh5FjgcIrjP3BAAAeQnRH3zB1+qwF65V1qqMObp2edxaOyPJd/1yXNIreYxBzP2AgUEgHEC/Waj6c5qJTNIJaVRafKFJhvWKiWqTc0fjzLzK0hgzL+m5yjkfadILvNl4qj2YZVwtGq/cMyEFAABJLVT9OY+5YEwlKPstSW9aa2cqwd6ipNdyzGAJJdg8tFblfZnXcq/KmcbPSKW25GeS9j/NjFfumXsCAIBgWu0PXnledfC6XpC7q69V1qoE5KMg+MVojmitfVHSi56nTBljDnu2ZzUejSGHYwPoIgTCAfSb6snLQpInVCZg41WbvCWKKhcyo0ljs0lrdbZLswlV9HimYHMlCB6Nb2+KUuj1xlOttidRO0STfV+pdgAAAJ/c5oJ1nvuM3IW8L1prX6h66IuVYzbq0dgNgsxDa1X6PUYXLF9ooUJRo2PXXhR+McO8txpzTwAAkIcV19RSzFuq508LNXNNSd1/rbJWZbzRQsmFmjGpMmf0vT+7KvPLkJj7AQOCQDiAflN94XI84XNWXKBsMCH9ZNWfv9zkmNEkNEmPyeh8tStEEzPGHNDKiXXLPRLrlJWsW9rTGLO5kvETWnROVmYCAICk8pwLrlAp6XhAru/1iguTlfnUglbOH7tR5nlorcq8NHpP91prQ2RrV/tC1Z8vBgyyM/cEAAB5qK6Kk3SeOS7pmapNn6mza9deq6zjFS3PuZ6ocw3yCfkXtD5fmX+HwtwPGBAEwgH0m+pSOU3L91RWE1YHcRsFkHdXn8cYY+vdtDyZShKQjspvttRH0jM5bvlYVWKTwNqVl5UA+GtyKyeDZflEx47+bK1tOagPAAAGTp5zwernjVed64k6u12UNO4ph9lNMs1Da1UqFEXz0ouSHq3qm3640kf9eWPMc8aYZ4wxT6bppV65+Bl9XguqySLKMG7mngAAIC9bW3hO9cK/uQatD7vyWqVPpbx5NC+eqbf4tBIcrze/Ppxm7thgLMz9gAFS6PQAACAka+1xY8xFuYlaw1WClVKWteUqG/WEjCauF9X4olv1cZP0mIwyl1qdyPkm1HuNMWfqrKxMYk6u13i1540xF621c5WLv69pOdMqdKZPNDEOUeYSAAAMiJzngtUOa7n39UKTfTere+c0Weehkr67MOAVrcwa2lxz3LoLAowxkgtsvyM3175Y+fnNyrbo8e/2k5S7gLqQZdyesXXr5wQAAHpQZUHkeNWmKWPMeKM5TCVIG12TK1prd9fbV917rXKFSsWgaDHj3mbBZ2tt0RjzrFz1pWrjcuPPWrKduR8wQAiEA+hHu1UJ0hpjnrHWvli7gzHmeblJYO2kyjsRq+kdebzJhPXRqh9fajZYa+1CdMHWGDMVqMfhk5LeNcbc1+IFwi8rHgiX3MrL2m2PBBpzteg9ZFUmAABIK/hcsOa5T2o5yN6oB3h04bBpZnqnhJiHVubJ88p+oXS8cmt2nDlJnwkYBJeYewIAgHzULsy8KDcHjfX7llb00I72rZcZ3bXXKivtEycqY/seufegekHko8aYXQ2y3KPXdlEuUF27mHJzpQpR9Tz8YoJy79WY+wEDhNLoAPpOZXIW9d85UCm9uLlye8YY86bcJCy2UrLBxK76glyzlZPRCse5FBfooolXK71uztTZvrfVC4SV96HZZPBFSfflEASXlt+HpFlZAAAAknKbC1aLLrrNNbngNp5m3B3U8jy0kuX0mtxc+aLc/PCFyv1c5dhFhem9WJTLAt8dOAguMfcEAAD5qO4PflFuEeYXfOW9K9uiHtrH5RJPFhocu1uvVR6WW2j6vFySTW0ge5ealzjfK/ea6lUUerLyeHRLW6mSuR8wQMgIB9CXKmUx75PrqfOs3OQrWkn4bFSCxxhTPSFtFPitnpzV3a+SIRSpLd/TyGG5FaGfUp1VofVUVmnulnuNE5XxfTFrgNpaO1OVLTUuV47yYuX4B1KutEyssvp1qjIGVmYCAIDUcpgLqrJ/dUbLFxvsVz13fKfefl2i5XmopC/JLcrcm2TuWZnnTWi5bPqDVX+OHhuv7L4g95mdkZt75lK6krknAADIUXU7w7nKHPWLkl4zxuyVm3+OywVmo8WWe621SeZkXXutsspCzc/jLR4n2LGY+wGDh0A4gL5VWeG4V41XBVZPBhtdXBuvOW49z0bHSjOZqkyEF9Sgd2KT58/JZd0EZa1t9v7lIfpMYmVMAQAAkgo8F4xEx1poEpitPu5CguN2TJZ5qLW2US9K3/4LWg5wdwvmngAAIDhPf/B5SbLWvmCMKcrNK6Pg95nKzy+myNj+7rG76VqltTbWUzEta+2zWh53aMz9gAFDaXQAA6uml46UrBxO3Yt2lRWFUamhVoLHL1aOs6vZjn3uU5X7NKtUAQAAUkk7F6zM9aILZ80uIlYHiLsp6FvPIM9DmXsCAIA8rCgpXh2EttYet9bOWGvvq9xmrLUvtNj+hWuV6TD3AwbMwAXCK/3hDhtj3jTG2Mr9vDHmQJO+FAD6T90JqcdCzb1Pdb/IVkrrRBOwvFY89opdki7mVf4SQG/p5Nytcu75JP/pN8ZMVcbJf6aB3pFmLihJn6z685cTHnshr3YygQ3yPJS5J4BccA0SGHjVLXjymGcs1Nz7cK0yjrkfMGAGJhBujHnGGPOu3D9AX67c3ydpt9yqqWckvVmZoDIZBQbD7qo/N5v8nKnce3s8VlZYPiM3+fxMK4OpXCQtSnpyUP8eMsY8U/kjgSRgwHXJ3O175IJZh40x71bO9ZwxZlfl9lzlQua7kl7Tyr5uALpfmrlg7f6HK0EN703LPRt7ou/goM5DmXsCyEOXzGMBdF51f/A85oRcq0yJuR8wmIy1ttNjyF0lM2erpN31VuNXena8VvlxQdIjPbJyH0CLKhcpI7srfbab7X/RWvug57F5uQDITIsrLKPjRH8XvVDpzz1QjDFvSpLvPQYwOLpl7maMeV7Scwl3z2UMAPLTwlzwXblS6he1svR5rWe0vCjmWWttT/QfHMR5KHNPAKF1yzwWQGdVgsZvVm3KdL2wwXm4VpkCcz9gMPV9RnillOWT1tqGk8pKKYzoAsW4kvUKBtAlKhl5bxpjDifc/5mqHxeaXfismNNydk/1sZ6Tm1juzjqprfxdNCfpucrKzYFR+ft6s1rrWQSgT/To3O2FSl83LmACHZL3XLCmn/hxa+1CvZukR6ue+lKKl9FRgzYPZe4JILQenccCyEfaFjyt4lplQsz9gMHV94FwSV+QtLlSzrJZf8fqiyabjTFP1t0TQNeoXPB8Rm4ys6vZ725l0lZdujZpeaC9khYqk8noWM/J/T3TNIsohWhCNmjldZ+XVAz4PgLoTd02dytKeqFyv1DZtlC1/b5eXxUP9Lo2zQWrLzA2C1hEf3fNVQLjvWSQ5qHMPQGE1m3zWACdU91SJ89WOVyrTI65HzCgBiEQPlW5H5f0pSb71q7WnAk+GgB5qP0PZt2V15ULn69pOaNnb9IJUGVF9yOSZowxr1VKDD0o6YGQk6jKeV6Q9Ew/9N9JopKVtVkt9iwC0Fe6be520Vq7t5LZc5+11lTuH6lsX8jhnADSacdcsHpOVvdiZk0go+d6Dw7KPJS5J4CcdNs8FkAHVOab1XPC3Ko+cK0yGeZ+wGArdHoAbbCg5Yscab0dbhgAcrSg5d/zuQZ9uDbLTT6jCVvqno2VY+f+H1Rr7d5KD57DatyDsudVPpcDcp9HsdPjAdBxC2LuBiCdBeU/F4yOryYLYJ6t3BdzLIGZq36fhzL3BJCjBTGPBQZSZe70Kbm/Az5Z8/AXjDGPSnpH0pvW2hdCnptrlY0x9wMwCBnhu+VWWS6o+Yqf2tVM/MUI9IaoPM9FSV82xmw2xoxXbpuNMU9WSma+Kfd7PifpwbRB8A7YLVci7bmme/a2w3IXrbv98wDQHszdAKTVzrlgs2zzKDu911sm9PM8lLkngLwwjwUG16ckPaflIPhC1W1cbo74jKTnezGjukovzhGZ+wEDru8zwiur8B9MuPtUzc9nAg8HQA6stS8aY87ITTq/oOX/UI7LTTjfkfvP6LOSXuqVMrbW2gVjzBOSXjPGXOzHHjbGmAOSZK3d3WxfAIOBuRuAtNo0F1youfeJeibO9Wo2eKRf56HMPQH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     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 2400x1600 with 3 Axes>",
      "image/png": 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dFzGmpA13fit0bOv7Xo889z0rLoeOnbs2FnnuG0vvDh37q3fWRp578VK4Rc87q1dHnmuuhbN4VixGv+mmFnHcRG8ivhlxuera6PfMrAofX3n79chz3z0aXn+uH1mMPLcyGp7bf20x36VLq0LHaivCxyRpxeWo9yz8nq+6vj56XucuhK/V7WZuoA1y9AAA6FJj1juZ7wCA0vAZ8Evr7NlwmehuVasugNpt7+mREek3f9Nly997L0HwogSZ1B/5iPQP/6GfMXfubB8E970hY3GxfJUXAAAAAAAh3LIHAKBLQdZ78FgfvcERAID8ZBHwS+NyOLsjlUuX3HPS3tP0AO9scdH1vD561D2n/drH4avne6dxstiQ4bvUOgAAAADAOwLhAIBMnD/fu/3NAQDoWVkE/NJYs8bPXAJrG8oeduo9TQ/wzqxdfv/Gx93Ggi1b3PP4+PL7l1XWso+e7xMT0oMPtj8niw0ZZaq8AAAAAACIRI9wAEAmajX6ggMAkLusMrC7tXGjC1D7CM4PD7teJI2iek9fuuQC5vQAb29+3pX2bpXVXK1Ks7Pucd99rje7780ExqTr+T4yIj3/vBunHd8bMozxX3mB71UAAAAA8I5AOAAAXahUpHXrbj22bp3Lfq/VipkTAACZZmB3Y3RU2r7dBVPT2r69fbBwdJRgYlxzc+79jBt8PnXKBav37/dfXj7o+Z5kPpILgu/fHy8473tDhrX+Ky/wvQsAANqxLW422YgNgTduRJ8acdzcuBl5buV6+Ho2or6wXR29JrpvPFwe8hNjxyLPHatcDx2bq/ytyHMvV2+LPB4laqvkt1oUOrpxPRwqu75yRfTJUWO0qr18W/j9WXl79NdneDh87trV1yLPXbsyfPz24fD7KEmjw+FzR9ZFn/uNVd8ROvaXiysjz7WV8CddWxlxbO2qyNcPvWc8fDBiTEmqRW34zqpqFfoOpdEBAOjC+vXSsab1+7Fj9AkHABQsCPj5EJWB3Y28+kAjnvn55EFnyZ2/fbt7vW9Z93wPNmT44GucRmkrLwAAAAAAIhEIBwCgC4090Bsf9EMHABTKd8DPR5ZqXn2g0Zm1rhx6N2XIJfe6Rx/NJvuiU8/3oSHph3+4+57vPjdklK3yAgAAAAAgEqXRAaBPVCrts5Ep2e0XPdABAKU1M+OnFLmvwGFefaCztrgonT3r+rCvWeN2wPVaOetDh1r3BI/r5Enp8GG3wcE3Y9yGB2ul69el3/3d5RLk1ar027+9XJp8airZ90SwISPN5x9syLh0yW+pdR+VFwAAAAAAIWSEA0CfWL/e3Ztt9aBk9+CoVNz91E6P5h7nAIA+8eCD0m3xe+dFuu02F7j2JegDPTKS7HVJ+kBnwdrlDOXxcRdI3bLFPY+PSzt3uo/3Sn+6XbvKNU6z+Xlp0yZp2zbpt34rHGiuVt0mj23b3HlJyrQbI33ucy37DnbUuCGjjJUXAAAAAAAhBMIBAOgznTZFBI/mHucAgD5x+LB07Vq6Ma5dcz2Yfcq6D7RvjUHZffv8BmWLsLjoNhX48OKLbjyf5ubc5ou4GdunTrnz5+bij//4492VSIrakOGrYsLDD/sZBwAAAAAQQml0AAAAAOgnPrN+fZe/DvpAHz4sPfusCy42BpiHh12G7MyMy2wvqhz63JybR9xS7kFQdv/++IH7vEutnz3rp5S35MY5d87ffOfnk73fgaUl97ojR9pXDeh2fMl9D+7eHf66+ii1Lklf+IL06U8XX/ofAACUW4sKRLYWcbzFuebmzfCxa9cjzx26Ft48OHQ9Ytxa9Brm3SvC6657V0Seqtsra0LHjg9fjjx3dPhq6NiVFdEDv7NyZejYzTXRuaHXboRDZUvD8dfOQ0PR7/nKFeH3fPXKG7HHXTUcfr0krRwKz61moz+32yrh633X6m9Fnlu14a/nuZXvjjx3xVL4eisWw9cy11q8jxHrX3Nb+GsmSZXq6tCx2tUWm79rnv7Pg75BIBwA+tzmzdKFC65HOAAA6HNZZP36Ds4a44KIU1Nu/HPnXM/ltWtd746iy0RnGZS11vXpfvZZ6aWXbg1MDw1J/+AfSD/0Q9L3fI97P7oNjkcF2S9H30zs2qVLfsaxVnrkke6C1JJ73aOPSidORAeT045vrfQLvyD9yI/cOr4x0k/+pPSZz3Q3buDUqex6rgMAAADAgCMQDgB97sIFd38ZAAAMgDJn/UYZHS0+8N0oy6Ds/Lwbu1UGcbUq/eZvukdgaGg5Q35qqn3WcKcg+0MPdfc5tbJ2rZ9xDh1Kn1V98mTrYHKW4x84kG7cQBbVFwAAAAAA9AgHAKDfnD/vEr9aPTZvLnqGAIDMlDXrt1f4DJo2Str/OhC3D3mcfuZ/+IfJrt3O8LDL3vfBZyn/PMcve891AAAAAAAZ4QAA9JtajSoAADCw1oT766XiK+u3V2TRXz1Nf+pGrfqQJ+1n7sP27X4y+bMu5Z/l+L1WfQEAAAAABhCBcAAAAADoFxs3ujLYPgJ0PrN+e0EWQdO1a9OVWm/W3IfcV5A9qZkZP+NkHUzOcnyqLwAAgDKohdc69kb0qXYo/AFz42bkuZVr4eNDVyNOvBnduudaLRx6WmGGoicWYUg28vjtQ9djj1Ex4TFGVka/fuVQ+H1cMRx/HRn1eklavSL8ng+ZWuS51obfy5ratEZqcr0W/f5eqa0Mj2uji0V/cOSvQsf+eOy7Is8duj4SOrbi7SuhY+bb0etmey3ia3Ez+vsxqkWUWREd3oz8/o/4OcHgIBAOAAVbt65c46D/nT/vyqMfO1b0TAAA3o2OusDo7Gz6sXxl/faKLIKmFy6kL7XeLOhD/qd/6jfIHtdtt7nMdB+yDiZnOT7VFwAAAACg9AiEA0DBCEYib7Wauy8PAOhTMzN+AuG+sn57RRZBU1+l1pudPCn9+3/vP8gex7VrLiM9KP2eRtbB5CzHp/oCAAAAAJRedP0DAAAAAEBvmpqS7rsv3RgTE9KDD3qZTs/wHTQ1xl+p9Sj/7t9lN3YnP/dzfsYJgsk+NAeTFxfd5oaKp9sezeMH1Rd8GLTqCwAAAACQEwLhAAAAANBPjJH27JFGwj3bYhkZkZ5/PrIPW1/zHZS11l+p9Shnz2Y3dicHDkgvvZR+HN/B5LVrpYMHpR07pPFxacsWVwrH1/jNwWpfVRMGrfpCo8VF6bXXpKNH3fPiYtEzAgAAANBHCIQDAFBXqdz6AACgZ01OumzkpMHwkRH3usnJbOZVZr6Dsv3uR35Emp9PP46vIPDDD0ubNknbtkn79vnfhBA1T6ovdMfaWzcs3Hef27Rw333u7zt3uo9bW/RMAQAAAPQ4eoQDAFDnK2EIAIBSmJ52vZwfeSReL+mJCZcJnlcQfHHRZTVfvuzKkm/cWHx5aJ/91X2XWi+bK1ekRx+VTpxw1QO6/XoGweQ0/c7vvFP63/436Z13uh+jnVbB6qD6wtat0tJS8nEHsfrC/Hz730nVqvsZnJ113xd79gzmxhwAANKw0Te47I2b4WNXr0aeW7ke3lQ4dCO8Sa1yPTqT5FptRejYt2vR17oYMd2F6rroeSk8h5u16KpONyKOD5sWN/8ihhiqRJ+7shJ+b24bDr+3knT78PXQsajPQZKuR8z3ajX8PrZSs9FrymvVcBjwm9fXRp77t0f+W+jYPd/xrchzL0T8f8dcuRY6Zi9fjny9vX4jfKzVZtZaxHvW4vs8Uqv1NhsvBwL5bgAAAADQryYnpVdfXc6+bC79PTy8nH154kT2AaeyZ4L6zPD1WWq9rE6elH7pl9J9PdOW8l+9WrpwIbsgeKdgNdUX4pubc5sG4m56OHXKnT83l+28AAAAAPQtAuEAAAAA0M+McQHevXulixddH95XXnHPb70lvfCC+3jWWanz8+1LVweZoNu2ufN8lN1Oymd/dZ+l1svsp386/dczTTD5ve+VWmQypRY3WB1UX4i7iWJiwp0/PZ1+jr1ift79PCTNnF9acq8r4vcBAAAAgJ5HIBwAAAAABsXoqHTvvdIDD7jnvEqR91ImqM8MX1/9r6Ns3Jjd2L7F+Xp2E0z+xV+U/uIv/MwxavwkweqyVV8oE2tdOfRuysdL7nWPPkrpSgAAAACJEQgHAAAAAGSnFzNBfWX4+ii13spP/3Q242YlztczaTD5wAG/c0wbrC5L9YWyOXQoXQ94yZXhP3zYy3QAAAAADI7hoicAAAAAAOhTvjJBT5zIP3gYBGUPH5aefdZlezeW/x4edoHdmRnXEzxqfkGp9a1bu38PokxMSD/1U9J/+A/pA4x5ivP1DILJU1PS4qJ07px06ZK0dq20YcNyFYPFRfc18WFoSPrP/1n6W3/LX5WE0dH8Ki6U3a5d/saZmvIzFgAA/axFFRXb3MpGCre3qTM3Io5HDGuH4ldsOXNzZeTxv7x5R+jYt6u3R577Ti08xuWbt0Wee+XGitCxFUPRn+9wpRY+txJ97poV10LHbh++HnnuChMet6bodXDU8Uot+v29WQvnuK5skfYaNe61Wvi9aeXuNd+KPP7Ge+8KHbO3hce1129Evt5eD79nkd+jPlBZaKARCAcAZGbDhvYfP3cun3kAAICC+MwELSIAFjco205Qar2brPgoQR/ySiWbIHvWknw92wWTz55teeM2sWpVWrOGwHUWfG5YePFFNx5fJwAAAAAxEQgHAGSiUnH3J9sZGpJq4Y2RAACgX5Q5E3Rx0S1WLl92QdCNG9sH2NJk+Aal1h95JN3GgOY+5N0G2Vetkq5e7X4eafn4el6+7GUqf+3SJb/jwfG9YeHcOQLhAAAAAGKjRzgA9KHNm9293I0bpW9+0wWlAQAAcpVFJmha1i73nx4fd/27t2xxz+Pjy/2hrXXXe+016ehR95z2+p36X3fSqg95N/3Mv/pV6aGHkl3fJx9fzzVr/MwlsHat3/HgsGEBAAAAQIEIjQBAH7pwwSVLnDsn3bhB1jUAAChAFpmgaczPS5s2Sdu2Sfv2hedWrUqzs+7jY2PSHXe0D5R3Iyi1vnevdPGiC7D/l/8ifelL0g/9UDg4Pjy8fM0TJ5YzwZt1CrJHjfN//B/dfQ4++Ph6btyYfDNBK8PDnXv6oDtsWAAAAABQIEqjAwAAAAD8K1Mm6NxcsvLhUdnKQaB8dtYFxvfsaR2YjqOx1PqWLdKjj3bfh1xK3s98asp9Hml7uHcrbWbv6Kj7ms7Opp/L9u2U285KsGHBx6YYNiwAAAAASIhAOAAAAADAv7Jkgs7PJ++h3cmpU9LWra70e3Op8jTS9CFPOo4xLpi/davf9yYuH5m9MzN+AuEzM+nHQDQ2LAAAUB618MY0e+Nm9LlDJnTo5qrwMbvmRuzL/3/v/M3I4+9Ubwsdu2GjK/9cvD4SOrZwdXX0uNdXhI7dtiL8OUjS7SvCn8dtQ9ElNismfnWomsLXu1GL/tyuV8PHo45JUtWGiz3XbPTnFuVaLTo0+E4t/LW4rRL9PRL1JardvjJ0zLSo4mSjNkp2W3kLaIPS6ACATDX2K29+ULIdAICc+O53HUcZSldbKz3ySDaB3qUlF5ibn/c/dl4mJ10wfyR8QzFTvjJ7g6z2NCYmpAcfTD8XtOZrowEbFgAAAAAkRCAcAPpAc7D5/PmiZ7SssV958wPFqFSkdeuKngUAIHPWLveMHh+P3+/aV9A8yAT1odtM0EOHsi39vbTkSpr3cubC9LR05Ej6gHISvjJ7g6z2bgP5IyPS88+7cZAdNiwAAAAAKAiBcADoA83BZjKt0c769dKxY0XPAgCQqfl5adMmads2ad++cH/eoN/1tm3uvOPHuwuad1J0JuiuXX6u387Jk9Lhw9lfJ0uTk9Krry5/DzRn8g8Pu++Bf/fv/FzPZ2Zvt1ntIyPudWn6vCMeNiwAAAAAKAg9wgGgx2ze7ALfjcqUAR6o1aSVK6Ub8VsFAQAAH+bmkvXEPnVK+vCHWwe5g6D57KwLjO/ZEz94GGSCpsnK7jYTdHHRBTrzsGuX+1x7mTHuc5iacu/duXPSpUuul/eGDS6D21rpP/yHYr6e7QRZ7Y88Em9uExMusEoQPD/BhoUkv5skNiwAAAAASIVAOAD0mCD7uxcQBAcAIGfz88kDTVL8TO9Tp6StW11ganq68/lBJujWrd316U6TCXr2bDgTPiv79rls6ve9z/Wp8VH2u0ijo9GfQ5Ffz06CrPbDh6Vnn3Xfo41f/+Fh97MxM+MC8WQX548NCwAAlI69Hn3zzkRUm7w5El4/3T56NfL137y2JnTsho0uULx6KDyH67Xo0NVfXV0bOrZwZVXkudVq/ILIFZOu1dH1avxQ280W78OVmytCx67djB43ar4jw9HjVm3461a1QxFnSn91412hY2uGrkWeq4jldOVK+GtpKV2KglEaHQCAPlepuESu4EF/cADoU9a6AFM3AcoklpZcQHF+Pt75RZWuvny5u9d1o1ZzZebTlpLvBWUuRR5kte/dK1286Hrcv/KKe37rLemFF9zHCYIXJ24Z/oMHpRMnCIIDAAAASIWMcAAA+tz69S4pDgDQ5w4dSleyOomlJenRR12gKk5QsYhM0DXhLJRcpCkl32xx0f0jfvmy+3zKkm3eC5m9rbLaUbw4ZfgBAAAAwAMywgEAAACgH+zale/1Tp50ZajjyjsTdOPG8DXyFpSSn5uL/xprl9+j8XEXTN+ypXzZ5mT2wofRUenee6UHHnDPBMEBAAAAeERGOAAAAAD0usVFV3Y6b7t2uazOuPLMBB0ddSXcZ2f9jdmNoJT8kSMuGNwuy3t+vn2Wtc9scx/I7AUAAAAAlBiBcAAAAADodWfPuiBp3l580QVAuwl45lG6emam+EC45ILhn/iEdP/90ksv3fq1GhpygfIHHpA+/3npnXfijRlkm+/f70qVF41S5Lcqa1l7AAAAABggBMIBAOhDlYrrDS5J69YVOxcAQA4uXy7mutWqywIua4BvasplTufVO72dN990j2aNWd5JNWebo1jWSocOSc8+23rDw8yM+740pqBJAgAANLC1yMPm+o3QsdqK+MO+fe322OdeGQpf652bKyPPfetKeNybN6PbIVWr4c7AtVp0t+BqxPEbK6LHvXozHFZrtbKLamZ0PeL1klSLOHnlcPRm5xVD4eO1FrO4XosfBvzLa+8KHXv/qrcjz63eFjHhavj7yd68Gfv6QBboEQ4AQB9av94lIZ09Kx07VvRsAACZW7OmuGtfulTctTsxxpUPHxkpeibZWVqSHn20+J7hg25+Xtq0Sdq2Tdq3L1yhIdjwsG2bO29+vph5AgAAAMAAIRAOAAAAAL1u40aXcVqEtWuLuW5ck5OufHg/B8NPnpQOHy56FrdaXJRee006etQ9Ly4WPaPszM25MvVxKw8EZe3n5rKdFwAAAAAMOALhAAB0UKnc+gAAoHRGR13Z5bwND0sbNuR7zW4CrNPTrnz4ffdlP7+i7NpV9AxcVvrBg9KOHdL4uHu/t2xxz+Pj0s6d7uP9lL0+P+9+9paWkr0uKGtPZjgAAAAAZIbb+QAAtLFhg6tk2fhYkaAnUlHOn3fJgRs3Sps3Fz0bAEAuZmbyv+b27fn0B/cRYJ2clF59dXmcfvPii8VmXQ9iaXBrpUceSR4ED1DWHgAAAAAyNVz0BAAA6DXvfa907lzRs2ivViv/HAEAnk1NucBw3PLMPuQRfJ+fd8HGVp9XEGCdnXWf/5490gc+IJ09K12+7Pqnb9zoAvbGuPdpakr6nd+RPvax7Oefl2rV/eOfx8aEZnNzybKig9Lg+/e7bP1edehQ+p+3oKz91JSPGQEAACRia9Eb8syNm6Fj1ZXh86rV6FzLazfDoafrw9HhqJu18BiXbqyKPPfK9fjZKcaEP7fqzej5XqmGx712PXq+lUp43KhrSdLQUC107LbhasSZ0qoV4fd8RSX8eklaWYkeI0rU+3uzFr+t1rrbojfb1qLeHjZ4ooTICAcAAACAfmCMCwLn1Qt7YkJ68MFsr9FN7+UHHpDuuKNz1vgP/mD/lUq/dCn/a/ZbafAkpfd9laMvQ1l7AAAAAOhDBMIBAAAAoF9MTros26yD4atWSc8/74LvWek2wFqtutIozceay3LnvXEgD2vX5nu9fikN3k3p/cVF97PmQ9Fl7QEAAACgTxEIBwAMtErF9QFv9Vi3rugZAgCQ0PS0dORIb2c7pw2wthOU5Z6by2/jQB6Gh93iJU8+S4MXpdve5mfPhs/tVlDWPo0kmewAAAAAMCDoEQ4AGGjr17v7mAAA9JXJSenVV12A8dlnXbC3MWg3NOSCv90Gy65edZm8J05kkxXuI8DaTlCW+8iR5Y0D7fqQ94Lt2/32B19cjO6z3shXSe9//++l9763/bXSaPW5pOlt/q53+Zuf1F1Ze2vdz8qzz0ovvRT+Gd++XZqZcf3Hs6zeAAAAAAAlRSAcADDQzp9390KTvgYAgNIzxgXApqZcIPDcORdsW7tWOn1a+tjH0o0fZPJOTXmYbF0Q2PuxH/M3ZitBWe4TJzpvHOgFMzPdvzYIFF+65LKJX3pJ+t3fbR9YvXTJX2nwl15yj1bX6iaI2ylIPDUlffWrblNHEsEmii99Kfmc2kla1n5+vv3mjSCTfXbWVYfYs8d9nwMAAADAACEQDgA9prFU9/nz4RaYSKZWS1+JUnIl1jsZGopuWwoAQOZGR2/NsP3Zn/Uz7q5d/gLhnQJ7WWgM5jdvHDh8WPr4x/ObSxoTE9KDDyZ7TbtAcZTmwOrnP5/dZoG0Qdw4QeKXX+5+fktL7mcoWNyllbSsfZpM9unp7uYIAAD6k21xk+pmeI1TWxE+rXpzKPLlVRveyHi1Gj8cdeVGxMUk3ayFb8AZYyPPjb5Xl/6mXNT1hoaix71tOPw+rhy+GXnuyqHwucOV6HGHIo7XIt5zSbpeC7/v16vRX7frtfDxb99cHXnuzXeF52tXhb9uZij6WtFfNcA/eoQDQI85dswl7Jw968p6oxxqtc6PohLLvvnNYq4LACipxUV/mbwvvuinF/HcnAvUFVGaPKq89+io9L735T+XboyMSM8/nyxrulNf7E5OnXKB5jw09nSPI6/vpa9/XfqBH/AzVpKy9vPzyYLggSCTPehxDgAAAAADgEA4AAA5CQLieeu1yq4AgIydPevvH4dqNX1plW4De760CuavWZP/XJK6/Xa3qSFJtrSvQPGVK+len0TcIG7R30vdilvW3lq3AaHbzy9oB2DJvwEAAAAwGCiNDgAlt3mzdOFC9MfoVQ0AABK7fNnveJcuhY8FPacvX3YB5Y0bozNe0wb2fAiC+c3z27jRX+nrrFy7Jj33nCutHaeXdq8GiiU35099SvqN33D9tJu/p4r4Xvp//1/p3ntddni3kpS1P3Qo/QaGxnYAAAAAANDnyAgHgJK7cMHdm4160GsaAAAk5jvTee1a92ytdPCgtGOHND7uejtv2eKex8elnTvdxxuzUX0E9nyICuaPjrqgcd5GRqR/82/c+xjd2HBZ0Et72zZX6rxdxnQZNh2k9frr0t/9u9HfU0V8L9Vq0v/5f7qvWTeSlrWPKuPfDV/jAAAAAEDJkREOAAAAAIPEZ6bz8LC0YYMLwD7ySOtAZBCwnZ11Qcw9e1w577IE5IJgfrOZGTfntO68U3rzzc7n/c2/Kf3ary33xP5P/yl+4Dropb1/vzQ9Hf54WTYd+NL8PbVuXTHzeP/73XueNNN+ZCRZWfvFRXe+D0E7gLh9yQEAwOCJaqUSsUfT2ugNfTeqQ6Fj16rR4aioMa7ciH9u6z2F4c+h1T5TY8Lnthp3qBLOTFo5HP1/q5XDN8PHhqLPHY4Yd0Ul+txKxHxrLb4WN2vhT/rqzRWR50b51rXojdTm9vDnZm8Lj1sZbhGGNFHfUCWuxoWeRUY4AAAAAAwSn5nO27dLr7ySrOd0ELB96SV/gb00gmB+lKkpF2RNY2JCOn16OVt+KHxT8K994xsuu/vhh6WPfzx59na7Xtpl2XSQhVOnpJdfLubaa9e6jQdHjsT/XpmYcOdHbVho5exZf2X6g3YAAAAAANDnCIQDAAAAwKCZmfEzzkMPdddzemlJ+pEfKUf/7R/+4daZsca47PW0pa8rFRdU37tX+spXpA98oPVrqlUX1L16tbtrLi1Jjz56axaPz2xiLGvcRDE5Kb36ausND8PDy6XcT5yInwkeuHzZz5wD58/7HQ8AAAAASohAOAAAAAAMGh+ZzpL0Uz/Vfc/pK1fSX9+HY8fa99aenHRB5KTB8KjS13Nz0t//+67XdZZOnpQOH17+u89sYizbvv3WTRTGLG94uHhReu01VzHhtdekt96SXnjBfTxuT/BGa6JLUnbtox+9tcc6AAAAAPQhAuEAAPS5Ws21g924Udq8uejZAAC8Wlx0QbajR93z4mK816XNdA5cu5bu9WXw5pvLPblb8VH6en6+u+z5bjWWQvedTQynXWWF0VHp3nulBx5wz2n7cW/c2L6sflJBj/Vt26RNm9pvBgEAAACAHkUgHACAAXDunHtcuFD0TAAAqVm7XH55fNwFZ7dscc/j4/GzPLvNdO5H7XprB9KUvrZWeuSR/ILgkvTii8sbI3xnE8NtdnjwwfyuNzrqvkezcOpU580gAAAAANCDhoueAAAAAAAgpvl5F1A9dSr640GW5+ysC4zv2dO+F3GQ6dxuzEER9NY+caJ16eqg9PXUlAsynzsnXbokrV3rekW3yvo9dCj/97dadfMbHV3OJs67PPr//D9L//pfu/fnc5+TfvM3871+VoLe792UOE9jZsb9bGch2Axy5Ejy/uUAAKD/3LwZOmTCh2RrLV5eDedgXq9GV7ep1sLn3mxxrrXx119RS7VKJXrCFRPeRDzU4tzhofDxlUPR6+zbhsNvWtS1JGnItHgzI9Qi3oeoY5J0rRoOA15r8f5GWbyxqsUHVoQOVVeFP7fKiugwpKmE59vq+wlIg4xwAAAAAOgFc3MuazNuQDVulufkpPSFL6SfX9FWtbhBk0Rzb+12kpS+bixTnqdLl9xzltnE7Rw4IH3wg+79+amfyv/6WYjq/Z6Xqan45fm7EWwGoWc4AAAAgD5BIBwAAAAAyq7b/tJxSn5L0q/8SvdzK4urV/2M4ztovbjoAqdFWLt2+c/t+llnJchKl7IP4uYhqvd7noxxVR6ybGeQZDMIAAAAAJQcgXAAAAAAKLO0/aU7ZXkWGagto8be2j6cPZt/SXLJ9SzfsGH570UFooOs9DyCuFlatUr60peKLxs+Oel+XrN8H4uqYAAAAAAAnhEIBwAAAIAy89Fful2WZ1GB2kaf+Uyx12/UmMXsw+XL/sZKYvv2W8u1FxWIbsxKn5yUfuM3pNWr852DD1evSj/+4+UoGz497TLTs9rY4HszCAAAAAAUJLpLPQAAAACgHHxlZ+7a5bKCmxUVqG301lvSs89K/+yflSPQGGQx+7Bmjb+xkvi+73PvpTHLx4Js4m7K7HcjyEq31m3oePZZ6aWXit940a1gQ0nUz1HeJielV19183n2WRe8rtX8jB1sBmnX9x4AAPSHFmtve/Nm6JiJWMLZmgkflHSzFs7BvH4zOhxVjRijZqPHNSb+/xWizh1q8frhofA6aqgSvbZaORR+I24bDr9fklRRuv/btHofqjb8/t6oDkWeezXifb9Rjc6RrURc7q0rt0eee/vZ8PXMzYj3rBI9L5mIOZjoz7cU/0dEzyIjHAAAAADKymfZ8lZZnmUoVf3ii9KP/qj0x38s3Xln0bO5NYs5rY0bpaEWN3+y9NM/LW3aFO4Pn3U2caPt26XXX3fz2LZN2revd4PggTKVDTfGBeX37pUOHPA7ts/NIAAAAABQEALhAIDCVSouWaj5UeFfKQBAr1lclF57TTp61D2nLS/ss2x5q5Lfb7zhZ/w0grndf7905ox08KD0Qz9UzGKgubd2WqOjLiBchFOnpK1bpbm5W48H2cQHD0o7dmT3Pj/wgLt+2tL+ZVLWsuHve5/f8XxuBgEAAACAghBiAAAAAIA0rF0OKI6Pu0zbLVvc8/i4tHOn+3g35dx8ly2PyvJ8/nm/1+hWMLcgy/Wll6S333YbCl55RfroR/OZR3Nv7WbdbHaYmfE3v6SWltzn1JwZ3phN/Pbb0uysdNdd/q57zz3S5z+fTwn2PPnuIe+Lz8oDvjeDAAAAAEBBCIQDAApXq7n7ic0PX20OexUZ8QDQA+bn25d9rlZdgHHbtugy1Z347i/dnOXps/R6WlEZqKOj0r33Sh/8oPTyy/nMIyponXazw9RUPqXIW1lakh59tPX8RkelT3xCOn3aT5b47bcvX7cfZVk2vNuqEj4rD3TaDAIAAAAAPYJb7ABQcuvWUTIcAIBSmptLVva5VZnqdrLO8vRZej2NThmoec1zYkJ68MFbj/nY7GCMtGdPsf3YT56UDh9uf05zlviv/Zq0enWy64yMuEzw06e7nWn5+S4b7quqhK/KA0VWMAAAAAAAj4aLngAAoL1jx8LHNm4sZ0VGAAAGxvy8y5pMmvEalKk+csT1ae4kyPKcne1uno2isjx9l17vVqcM1DzmOTLiysQbs3xsbi7Z1znY7LB/vzQ9fevHJifd8W6+b3zZtcvN4+xZ956uWeMWllHv/eio9I//sfR3/o4L0L75ZufxJybce/jUU75nXh6+y4bPz0uPPNJ6Q02w0WJ21gXG9+xp/bsjqDyQpid71GYQAAAweG7eDB2qRO1LtSbioFSthrN4rre4VC1iDNtiXGPCGwMrEcckaagSLjU5PBRdfnLFUPiTWxHxekm6bSj83kRdS5KqtfD7UFP051aLODfq9ZJ0rRreLH39ZvQG6qhxW1l1W/ir9Jd/8e7Ic9/9Vvh9N9Xw+2CGWly/Ev0+AL6RUwgAQEkNeml4ACgta13gqttgZqcy1c2yzPL0XXq9W50+x6znOTLigtSNAca0mx2iMsOnp90miKLKpO/dmyzjeH7efa/GCYLfeaf0pS9JH/hAecrtZ8Fn2XDfVSXSVh6I2gwCAAAAAD2MQDgA9KBvfrPoGcC3SoWy9wDQMw4dSpdxKcUrUx3w0V+6VZanz9Lr3YqTgZrlPCcmXHC6MYM7y80Ok5PSq69Kv/M7xQQc45Z2TxqkffNN93V84YVylNvPiq+NKVlstJCWKw8kDYZHbQYBAAAAgB7H7XYA6EH9fG9xUK1f76qUrl9f9EwAAB3t2pXvOFlmeQal14sSNwPV9zyHh5ezoE+cCAf/st7sYIx0113xqwLkJcg43rWr+yDtT/5kNnMrA19lw7OuKpG08kDUZhAAAAAA6AMEwgEAAAAgrsVFf2WfX3zRjRdHllmevjJcV61Kdn7SDFRf8/zSl6S33nKZy1NT0UH4PDY7lKU/e7MgmN1tkPbqVb/z8W3Fiu5e57NseB5VJYLKAwcPuh7vzRUVOm0GAQAAAIA+MFz0BAAAQLYqleVM83Xrip0LAPS8s2f9lWapVqVz5+L3Gw6yPB95JF4QbWLCBe46BbiC0utpAnP33eeCp088ES+4H3dujXzMc2LCvX/tgplZbHaI+hqXpT97lFqt6Blk5/u+Tzp+PFmg33fZcJ8bLaamWn/cGPfxqSn3fXjunHTpkrR2revJ46vXOQAA6Dv2+o3QMXMz4rwWBWqq1XQ5mK2W68aELzhUiV67Dg+Fj68Yiv6/3MqI4ysr0edGzaFai/58r1XDIbibLc6t2vAnff1mdHuoWsQYtYjXS1IlYr5Rn4MkXfgf7wodW/FWizBixBBRw9qyVcHCwCEjHACAPheUXT97Vjp2rOjZAECP853Fe+lSsvOzyPJMW3p91SqXBfyZz3QOgo+OSrt3d5eBmmWJ+EZZbHaIsnGj262GfH31q9Lv/V5xZcOLqioxOirde6/0wAPuuTEIvrgovfaadPSoe447Ziu+xwMAAACALvG/bgAAAACIy3cW79q1yV8TZHnu3StdvOgCTa+84p47lfxupdvS60E59NOn452/uCj99E9LBw4ku04gyxLxgbw2O7z+up8y20imWpW+4zuKKxue10aLTqxd/vzHx93GgC1b3PP4+PLnHzeDx/d4AAAAAOABgXAAAAAAiGvjxnDQrFvDw648cRrtsjyTCkqvx82UveceF8hN2hN6aUnavl2an08+Ryn5PJNm9Oax2cFaV6LdV0AUyVy6lM2GkjiKriohuZ+9TZukbdukffvC34fVqjQ76z6+aVPnn1Xf4wEAAACAJwTCAaAH+br/DgAAEhoddUFcH7ZvL1+P3ril17/yFZcNfuVKd9dZWpIefbT77NAsSsQH8tjscOhQul7nvWL16qJnEK15c4LPDSWdFF1VYm5O2ro1/vffqVPu/Lm5fMYDAAAAAI8IhANAD3rve4ueQf+oVNz96bxadAbXa36sW5fd9bIaGwAG1sxMucbxLU6mrJQ+kHvypHT4cLbz7CajN4/NDrt2+Rm/7H75l7vv6Z4VH5UY0vC50WJoKNnnMj/vvieXlpJdp1UVB9/jAQAAAIBnw0VPAACAIq1f71o1btzYfYvFbq6Xl/XrpWPH8rseAAyEqSlXljtNIHhiQnrwQW9TyszoaLaB3F273PuZVqt5dmtmxpVyTuvRR11g/vJllwm8caM7vn9/+rHLLsjK/9CHXBn4smTAF12JYXRU+gf/QPrN3/Qz3iuvxCv7H5TjTxq0DgRVHE6ccJtLfI8HAADKpVYLHTLhQ5KN/ne8VgsfNyY6C6VSibiWia4cFXW1VucORYy7IuKYJA1HHK9FXk2q1cKfx7Wb0aG2asT7U414vTsePjfqWq0MD0W3XVoxFP7c3rm+InqQiE+51uLU6qrwydfftTJ0bPXK8DEgT2SEAwBQAps3u3vj588XPRMAQEfGSHv2dJ/pOjIiPf988uDP4qILqh496p4XF7u7flqLi/4CuS++WNzn0U6w2SGN0VHp4x9342zZ4p7Hx11weBB6gwcB505l7PPu+VNUJQZrl9+D3/5tP2NWq/Ezq32U42+s4uB7PAAAAADIAIFwAABy0q5M+YULLiM9YsMtAKCMJiddMDhpMHxkxL0ubs/qxuDZ+Hh0UPXgwe57bXfj7Fl/gdxqNZ+SLEml3ewguQB/8z/s1ar0h3+Ybm69ojHg3K6M/Ztv5pcRXFQlhvl5adMmads2ad8+vwu+ILO60+8An1UcshgPAAAAADJAIBwAMNC++c38rkWZcgDoM9PT0pEj8TOHJybc+XHKGEvh4Flz8LladeW7t21z5+XVb/fyZb/jXbrkdzxfut3sgPYB59FR6d57pQcecM8bN0qf+ET2c1q9urtKDGnNzUlbt2ZbGr5TZrXvKg5nz/Z/VQgAAAAAfYFAOABgoN240d8lyc+fd59f1GPz5qJnBwB9oFPZ56BP8sGDrhdu3EzwpMGzU6fc+XNzyebfjTVr/I63dq3f8XxKutkB3ZX+z7pc+apVrid33J+/RmlaEszPu9Ll3fbRTqJdZrXvKg5f+1r/V4UAAAAA0BeGi54AAABF6+d7b7Vaf39+AFAKQdnnqSkXJDt3zmU5r10rbdjgMmCT6DZ4trTkXnfkSHcBv7g2bnQBfx+BsOFh9x6VWbDZ4fBh6dlnXSZs4+c+PCzdfjtZrVLy0v+BqSnpe77HBZp9u+ce6YUXks3JWtcD+9lnpZdeuvXrPTTkfs5mZty8WwX8rZUeeSSfILi0nFkd9fvGdxWHb33L73hlrQoBAABuFbXsadGdxdbCOZg106o9TPhc0+pcE77gUCV6EkMR55qIY5JUs/E3cVYjPrdWVlTCn8ealddbnBv+/1WlxXxXVm6Gjg1HXEuShlu+72GLY6tCx/586L2R515/O6JyViXifWzVFijq/5N5tvzCwCAjHAAAAAB8aS77nDQInjZ4FrdfcBqjoy4Q6MP27cnfoyK063G9fz9BcCl56f9Gxki//usuc9sHY1xp9q98RfrGN5IFwX21JDh0KNty6M3aZVb7ruLwnvf4Ha/MVSEAAAAA9DQywgFggFUqrTflAQCAAvgIngX9gqemfMwo2syMCwb6GKfXjI7eGrz/2Z8tbi5Fq1Rcf++ZGRd4TtN/e3JS+q3fkj7+cenq1WSvXblS+pmfkb73e6W775b+1t/qboPF3FyyagxBS4Lf+A3pu7/bZV6vWeOqJrQrVZ6VVpnVvqs4fOhDg1UVAgAAAEDPIhAOAANsaEhav/7WY+fPExwHAKAwvoJnu3ZlGwifmnJ9s9ME7ScmXPC0ly0uuozwQbV6tfTZz/orxT89LX31q9LOndKZM/Fe003p8yhpWxI0qlSKKevYKrM6qOLgY/PK9u0usO5zvF6oCgEAAACgJ1EaHQB60Lp1LnEi6WPFCndfLngAAIAS8RlUDfoFZ8UYac8e1xO6GyMj0vPPp8sgLoOzZ/1kxfaqLErxT05Kr7/uyppv3Rp9TprS51F89/Ou1fIPhHfKrPZVfSEYx/d4AAAAAJABMsIBoAcdO9bd6zZuvLV1YK3WupUgAADImc+gatAvOMtMy8lJF7hPmkU7MuJe5yuLuEiXLxc9g+JlUYrfGOkjH3GPxUXpz/5sOUM8TenzVvLu552FTpnVvqs4UBUCAAAAQA8gEA4AAAAAZeA7qNqqX7BP09PSkSMumzZOQGxiwmWC90MQXHL9oJFtKf7RURf4HhlxPyPdViFop4h+3r51yqwOqjhs3dpd5ntzFQff4wEAgFKxUdVtogretCiCY2343/hWBXOMCX+gUonu2zg8FN44vCLiWKvjwy3GrUR8IkMtzl2z6lro2LtWXI08d3xleJ30nhXR/08bHwqfu3boSuS5I5XwHNZWoucwpPDnsVC7PfLcP33nu8LnXl0dee43R8NjVG6Er2Xfif4c7CBX1kKuKIwLAEBOzp93WfkbN0qbNxc9GwBA6fgOqrbqF+zb5KT06qvSwYPSjh3S0NCtHx8edj2fDx6UTpzonyC45P5Rb/58B1EWpfitXf6eGh932cdbtrjn8fHl76m0Jcj7oc973MzqoIpD0s0Erao4+B4PAAAAADwjEA4AQE6CUvTnzkkXLhQ9GwBA6fgMqnbqF+ybMS4jeO9e6eJF6bXXpFdecc9vvSW98IL7eL9lf46OZpcJ3UuCUvy+zM9LmzZJ27ZJ+/aFWwZUq9LsrPv4pk3u/G71ep/3pJnVQRWH++6Ld/7EhDt/ejqf8QAAAADAIwLhANCnNm9ezj4OHufPFz0rAADQ0uio6/PrQ6d+wVkaHZXuvVd64AH3XNQ88jA3J331q37GuvNOP+MUxVdG+NycK7cdt/f0qVPu/Lm57q7Xy33eu82s9l3FYZCrQgAAAAAoNXqEA0CfunDBb2IO/ArKpEvSunXFzgUAUCIzMy7T1cc4yNb8vNtwcDW6F18iExPSn/6py5R99lkX3GzMUjYmfQnwrP3oj0pf/nK6IGfwnibtOb205F535Ejy6/dqn/eJCZcJ3u37HVRxmJpymxjOnZMuXXItFTZsSL6Bxfd4AAAAAOABgXAAAAoQlEkHAOAWU1OuxHDcbNgocfsFo3vWSo88kjxgGyUobV2ptA4kfud3St///em+L7L2+usuM3v//u7KXqd9T5eWpEcfdRnHSUrwBy0JylYefWjIvSe12vKx4WEX8J+ZcT/jvloNjI76DVT7Hg8AAJSCqUUcvBlddNja8Nqq1dLFmPCGz1arnKFK+NyhiNdL0spKeA63Dd+MPPf24euhYyND4WOSNDJ8LXTs3Sui17DvW/Ht0LHvXPF25LnvHboUOvauSvhakrQy4ovRqvzzxdrK0LG3bkZvBj39zneEjv2Pb0efu2Ix/FWqXA2/5/Za9OdQ+o2+6BuURgcAAACAsjBG2rPHBUe7kbRfMLpz6JCfoPSqVdGlrZvLy7/rXem+L/ISZGZ307Pbx3t68qR0+HCy1/hsSeDLyIj0n/6T9Pbb0muvSa+84p7fekt64QW3WYKfcQAAAADoiEA4AAAF++Y3i54BAKBUJiddcDRp0LPbfsFltbjogn9Hj7pnXz2offi5n/Mzzg/8QPzs6W6/L4aGpJ/6Kel7vif5/LoRZGYnzfDYtcvP9bsZp0ytBCYmXIn36enwhgiyrAEAAAAgEQLhAAAUrFp1fcI3bIj3qPCvNwD0v+lpFwy777545zcGz3qZtdLBg9KOHdL4uPv8t2xxz+Pj0s6d7uNFltF76SXp5Zf9jHXwYLIAf9Lvi7/xN1w28S/9ksuWDt7boaGuphtbkszsxUW32eHFF/1c+8UXk2+aCFoSFGV4ePl7+8SJ/tnMAgAAAAAF41a6R8aYf2iM+QNjzDeMMX9sjPmyMeYjnV73uc99Tr/2a7+mr3zlK1osU5YDACA3x45JZ8/Ge6xfX/RsAQC5mJyUXn21dfCy34Jn8/PSpk3Stm3Svn3hns3VqjQ76z6+aVN35bd9zPFHfsTfeNWq6wWexOSkK39/552dz/1v/81lZ8/Pu1LaU1PS3r3SxYvLJbdnZ7Mpud4uM7t5w8OWLbf2wk6jm/c0bUuCbv0//w8lzwF0pdt7kK/rpM7ZN3TRflM37Y08pgoAAFCo4aIn0C+MMV+WtKPp8KSkHcaYOUmfsda+GfXaH/zBH9S//bf/Vl/72tdkjNHNmzczni0AAACAnhAEL6emXJbruXPSpUvS2rWuTEi/lEqem3N9mpeW4p1/6pS0dasrFZ5XFry10iOPSFeu+B330qVk5/t4r0ZHl793HnhguU923DHjCDKzm79H5+fd++ijx3orUe/p4qLbUXj5srRmjbRx461zC0rP+34fWhkelv7e3+ufn2EAuUlzD/I9Wqe/0Dd0SW/LyOghfSLj2QIAABSLQLgHDQvQVlu3PyrpmDHmfmvtXzR/8Ad+4Af03//7f9d8ERkNAICes25ducYBAOSkMXjZq6KCka+/3l3wcWnJve7IkXyy4Q8dyiZ4u3Zt/HPn57N5r4KS6x/7mPSXf5ls7FaCzOzG79mkQfxuBe+pte7r9uyzrqR9Y5WBoSE3l5mZ5Uzs4H3IOlAvuWsX+fPcaWMAgFJKew9yTO/RVV3RJb0tqwLbjAAoPRNRpcZUI867Fl10uLYy3IrnZotfO7VqeAy7Mn6yoLXRvxKrEcevVaNDYgtXV4fn1WLc4Uq4ktFtQ9HzNSb8SUe9vpVKxOsl6WYt/J7dPnw98tzrtfDnfPHK7ZHnXrgYsR48F35vJGnNt8Jzq9yI+CbxVfkJ6BKl0VMyxnxI0k5J35b0pKQ7rLUVa21F0j2SPivpjKRxSaeNMX87apyxsbF8JgwA6HlBGfW0gewLF9w9z82b/cwL6DVJS0oaYz5tjPlDY8yvGGP+iTFmmzGGqAHQSbu+33fcIX3kI90HRpeWXOnvPHqGtyv13a3hYZfZH0eQkZ7VezU5KX3wg92N3cp/+S+u9PfiYvdB/KSC97TbUvtBS4Lf+Z1s5zkzk+34Udr9LI6PL7dayOPnCUBivu5BrtCKnGYMAABQPDLC0/ucpLcl3WWtvaXBt7X2DUnPSHrGGPOYpKclzRtjJiW9lftMAQB95cKF5C0wATjdlJS01n5R0heNMQ/Jres+JMmKNTXQWqcy2LWaC5KmcfKkdPiwy+rNyuKiK5vtW5KsYB8Z6e3eq8VF9zGf/tf/1T1XKi7rOI+S49u3u97nacrHGyP94A+6gPHsrP85TkxIDz7of9x2Ov0sBhsDZmddYHzPnnwqLQBIgnuQAAAACZERnt7dkj7dvABtZq19TtJdkv5E0lck3bLtf3x8PKv5AQDQ1vnzLjO8+UGmOPpVU0nJqEdQUvK7ol5vrX1Z0pcbzgcQZW7OBRezLjEtZZOt3ejs2XBGsQ9JsoJ9fY6txsnqc5T8bHiI6+GH05WPb2xZ9hM/4XdukjQyIj3/vAu25yXpz2KwMWBuLtt5AUjKyz3IYa3Man4AAAClQ/ZKeh+SdCDOidbaBUn3G2N2S/r9LCcFAEBctRqZ5RgcDSUlFyQ9Jek5a+236x+7q/6xx+RuNJ6u91f804ihFnKZMNCr8iqDHXjxRRdoTdvjuLFvcqMzZ9KNG+Wuu1ywMe68fGWkt3qvmj/nXnTffdIXvpC+fPyJE9LXvib9s3/md34jI+7rmGemdVZ95QEUgXuQAAAACREIT+/bnXZiNrPWPm6M+Zak/z2jOQEAACBaVyUlWwTDAURJ28u6G9Wq29XVTSDcWld2/NlnpZdeyi4rutkbb0jf+73xSlD7zNauVl0J9Pe9z5Ur37jRvW9r1vgZvygjI9JP/qT0mc+kG+fkSekXf1H6/Of9fw8//7wrvZ4XX33lT5zIN4MdQCvcgwRQqKHrNnRsxaXoNcLNakToyUSHo6oRdYurlfC1JOlqxLnWRJ8bVb/NVKPnW7kaPm5uJlj/+Ki93OLTiBQ1tQSvb/WWrbgSHnjlQvS5qxZq4YPViIGHhuJPDMgApdHTO2aM+UgXr/uV4A9nz571OB0A6D+VirRhQ7xHhX/ZALTXVUnJiDLpF7OZHhBhcVF67TXp6FH3nFeJ6W756GXdjUuXkr9mfl7atEnatk3aty+/IHggbglq39naH/+4tGWLy6AeH5d27nRZ7716kyrItD4QK1Gys89+NpuNHO9/v/8x2/HZVx5AGaS+B3lV73icDgAAQPkRLkjvs3KZQ5IkY8w2Y8wfGGP+edwB/tE/+kc6duxYJpMDgH6wfr1LhIrzWL++6NkCKLlEJSWttfdLmpXLDI/sGQ5kwlrp4EFpxw4XqLzvvnDg8uBBd17ZZN2vu5W1a5Odn2cP83aielM3yzJbu1qVZmelj33MBZR7zV13uUDtli3+ysdntSEi6fdoWln3lQeQt9T3IE/qFV3S25lMDgAAoIwIhKdkrZ2XyxL6sjFmVO5G6cNyJTXvjDPGf/yP/1F79+7NcJYAAACo66qkpFyZ9AMEw5GLTlnKQeBy2zZ3XrsAat589rJOYnjYlYaJK+8e5p0EJahbbWzYuDGfbO2yVxuI8sYb7r37wz/MP6M/iaTfo2ll0VceQKF83IO8T1v0V6IyJQAAGBwEwj2w1j4p6WVJb0oa03KHhlglM7/ru75Lx44d04c+9KFM5gcAvaJVCfR16+KPsW4d5dEBtNVVSUlr7TNy/cUJhiNbSbOU45bWzovPXtZJbN8evz94ET3M42hXgnp01H2OiHbqlPRjP1b0LNpL8j3qg+++8ufO+RkLQCpp70Gu1u16QA9prcaymB4AAEDpECrwxFr7nLV2XNL9kh6X9IEk2UZjY2M6fvy4fvVXfzWzOQIYLOvW9V4P7VYl0JN0jzh2jPLoANrquqSktXZW0qfkbj5uzm6KGFjdZinHKa2dF9+9rOOamYl/blE9zONoV4I6yec4iK5eLXoG7eX99fP9s3jpkt/xAHQt7T3IFWaltpiHda8mM5sjAABAWQwXPYF+Y639mqSvdfv6T3/60x5nA2CQtQoeb9xIQkfZ5FHpFIBjrZ03xnzFGPNlSZ+WKyn5LkkPG2P2WWvfjPH6j0r6w+xni4GSNks5KK194oRkTOfzs5JlL+tWJiakBx+Mf36Z+x0HJaijMoenplyP+LIG8dFa0u9RH3z/LObd3xxAR2nvQW4wd3ucDYB+YyNa9qw5dzN8nokOMRkb/j+JCb+8/oGoCUT/n8bUWowROYfwscqN6FZElYhCOjZqAEk24j6ebZF4ZCvhz6PFp5ZI5NRadFkytYgPtJhD1LlD16IHXnE5/KaZiO8bs2Yk+mJXIjay1krc6gg9q8R5gf3JGPNPjDH/pOh5AADK473vLXoGwGBJW1LSWntGLiO86xuPQIiPLOV2pbXzklcv68DIiPT88/GD/0X1MI+rXQlqY6Q9e9znjN6R9HvUF58/i3n3NwfgBfcgAQAACITHZox5yhjz8x6GekYS9c8BAAAKlLakpLV2wVp7v6TPZDVHDBhfWcpFZzvn2ct6ZMQFtScTlHYtqod5Eu1KUE9Ous+ZYHhvWLUq+feoLz5/FvPubw4MOO5BAgAA+ENp9PielCsu8b97GKvAWoUABt26dZ3POX9eqiUoNVQ269bl/zlUKt33Jo/zNQGQjbQlJa21X/Q4HQwqn1nK7Upr52VmRpqdzfYaf/NvSr/2a9LWrcleV1QP8yQ6laCenpaOHHGl9CmTXm6/8Rvu61UUXz+L9KcH8sY9SAAAAE8IhAPAgGnVO7zR5s3ShQvh470SID92LP9e6OvXuyQzAAAS85mlHJTWLjIQ7qOX9eio63ve6n35xjekbdtcpurMjLtmnNLTRfQwTyJuCerJSenVV10p/GefdRspyp7p3gsqFX+L3eHhYoPgkp+fxSL6mwMAAACAJwTC41uQ9C5jzJ3W2jeTvtgYMyrXi3JMblcnAJRWq2B53sFlAAAGgu8s5XaltfMQ9LLeutUFs5MaGZEOHnTvyz/+x9Lrr0efV626bNfZWRfs27OncwnqoG9yWYPGrUpQLy66DROXL7tg/saN7rypKfdYXHSLtEuXpL/6K+njH8975uWzcqV0/Xqy1wwN+QuEl6GcuI+fxSL6mwNYEPcgARQtYr18+//35+Fjwy1CTDdvxr9WLeJX1dBQ9LmViHVJizmYSkRn4NtWRp5rI47b1dHn1laG52ZXRM/XRs03ScPiVktTG37PTNT7KEX+S2AiXt96DtHnVq6Hv0fMlfD6O/LrIKmy6rbwpa5ciZ5DkvkCTQiEJ/cJSb+Y5AXGmL+j5QWo5Ba0AIAMtSo3nmdWe6vM+qTWrYuXyQ9gmTHmVyS9bq3tuG4zxnyj/sczcuu0i5JON/z5jLX2TzKZKCD5z1LuVFo7D0Ev6+3bkwXggr7fb72V7LWnTrlg3/797bNwg77JWZdu71ZjCWprpUOHXMb3Sy/dejNyaOjWbPjR0eWg6+JiuYP9eekmeHvjhnudjxttZSknnvZnsYj+5gAC3IMEAABIiUB4cs8YYxTnpqokGWM+LelX5XryBP+bHstobgCAujJktV+4QAY9UKDHJVljzKck7bTW/kWbcyuS7pJ0T/3vzREQK9bNyJLPLOW4pbXzkLSX9cSEyz6VustgXVpywb4jR9oH7/LoYd6NO+9c7nk+P9/+fWuXDV9EsH/1aqlV9kZRrl3r7nU+guBlKyfe7c8iQXCgaNyDBAAASClJEYZBN1Z/NnIL0V2dXlDPRGpegAIA4MW6dS7WsWGDa2kJINJmSWeMMdtbnWCtvUfSHZLulwug/4nc+k31Z2rCIltB4NKHMpRjbhT0sj54UNqxI1zicHhY2rnTffzECelDH3LBum7KOEvudY8+2j6YGfRNLps335S+93ulXbtcQDxuX+cgG35ubvlYntnIw8PS7/9+Od/TIpS1nHjSn0WC4ECRxurP3IMEAABIicyW5B6X9FlJjxtj7rbW/v+aT2joxTOpWxegJfufMAAUo1KR1q8PH29VzhzRGrPe6d8OtGTl1mCzxpi91tp/FHmStd+W9LX644vGmMfkbiYC+fCVpVyWcsyNjLm1l/Wf/Zl0+rQ7ftdd0gc/uBy8P3gwfgC4lZMnpcOH3fVazSdN3+QsnTol/dN/mvx1zdnwQbA/7XsZx/bt7r386lel8fH8etBk7UMfkv7kT5JliJe9nHjzz2LQV37tWrezskybaABI3IMEAABIjUB4fN+WVLPWftEYs1dukflRY8yfS5oOym029eIJFqDB805JX5T0rtxnDwAlsn69dPZs0bNAlMZNCmxMQB8J1mM7jTGTcqXS/7TtC6x9zhhzj6R/kccEAS+By7KVY24Ut9/1s8/6ud6uXa0D4ZILcv7Lfyl97nP900s7yIY/cSLfYH+w+eLcuf4JgkvufTx4UPrxH3fZ+p30Wjnxxr7y7SwuuoX75cvSmjVu9yUBcyBr3IMEUDgbsUaufnuxgJmkYMLlE01zVZy6yupV4WO3r459rh2OHjd1laAWmzJNNWLd3WotHjVGzUPxkKhxb94Mn3btevwxI75mbpA++T8bCkEh1ZistXdYa99d//OCtfZ+SfskfUDScWPM3zbG/BNJx+VKazYuQBck3W+t3Se3QH25gE8BAICOgk0KZ8+27rMO9JDGsubBuuwDkuaNMf88xut/PquJASFB4HJkpLvXl7Ucs+T6XW/aJG3bJu3bFw48B/2ug4/78OKLLoDXbj5PPNE/QfBAkA0vuYDs/v3df0/F0bj54vLl7K4T1+rom5VdqVal975XOnPGBcR/6IfCvWj6tZy4tcsl1MfH3SadLVvc8/j48ufso586gBDuQQIAAPhDIDwFa+1OSf9G0rikeUm7tbz4DBag85Lustb+SfAaa+1HC5kwAADAYHlG0gHdGgwP1mjPGGN+v15OMlK9XPp85rMEAt0GLstcjnluLlm/a1+q1eieIUXNJ0+NWfXT065cehb9u5s3X6xZ43f8pEHtkRHp6af9zuHSpeVy4i+9JL39tvTaa9Irr7jnt96SXnjBfbyMm1C6kWTjyqZN7nwAmeMeJAAAQHcIhKf385LOaDnjyDb8+Tlr7eb6TVQAAADk61v1m3+f1a19EoP12kclnTHGfKTNGGcynB8QljRwOTHhzp+eznZe3ZifdyXPi+rDfelSueaTl+Zs+MlJ6dVXlzN8m8tBVirhY50Emy8+8AEXED561GWEN2dMd2t4WPr930/+c/DQQ36uH1i79ta/j45K994rPfCAe+63EuFJN4qcOuXOn5vLdl4AAtyDBAAASIge4Sk09eJprAlmJT1urf21AqYFABhAvvp50xcc/cha+4wx5oCkvZLu0q2ZM+OSDhhjnrbW/u8RL7+Y30yBuiBwefiwy+7dv//WrMzh4eWe2g8+WM5MVGulRx4pNujcGMQsw3zyUqu5bPjGIG2Q1Tw15YLk585JFy644PXIiHTxovSzPyt9/eudx7/vPuknf1LavVv6e3/v1u9NX9+L27e7AGvSn4PFRRfU91HyfnhY2rAh/Th5StPPu9uNIktL7nVHjpSzKgXQJ7gHCQAA0B0C4TEZY+6UJGvtm/W/f1rSryrcdzLwmDHmy9bapjQEAOhdBFvLi37eQHvW2nlJ9xhj9kr6hJaD4ZJbwz1pjHlY0kOs31AKUYHLS5dccHfDhvJnoh46VGz58eYgZtHzydv58y5juZm10vHjLrD80ku3BowrFRd8lqSvfjU66Pzww9IXviB95jPR1/XVM3pmxj0n/TkYHXXznJ1NP4ft28v/cya59/zQoeiv6dDQ8maBduXb024UWVqSHn3U9Ukv48YcoMdwDxIAAMAfAuHxnZHLCHqPMeZXJX1ay2WIVP/zcUmflDQrabOk48aYaWvtXxQwXwDwjmDrskpFWr9++e8E94FSenfzAWvtTmPMY3I3E4N1XHAzcbOkN40x/8Rauz+/aQIdjI52H5BLkyGaxq5d2V+jneYgZtHzyds774SPzc+7YGerDQG1msvqlaQPflD6v/4v6f3vXw46v/JKPqXlJyZchnezuD8HMzN+AuFBML7MOn1Ng37es7Muk3/PnuisbR8bRU6edNn7U1PpxgEgcQ8SQBn42uBYJBuuEmRtLfLU2rXwZr6WTX9u3gwfS9pqKHISEe95i/naqK9Pq6pIEeNGvr4F02KjY+QYtYj5tpiXrUac2+LzBdKgR3gydxhj/ljRC9Dd1toPW2vfsNbeL2mfpA/ILUT/djCAMebvGGO25T1xAIBf69e7uELwYJMAUEp3Rx201j4nt057U7dm1lhJd0iaNcYMWNQMfcXa5X7Q4+MuALZli3seH5d27nQfz+rm1uKiK2NdpMYgZhnmk7eRkVv/nrT383/9ry7D99vfdpnlr7+eTxB89WrpX/7LcH/3JKam4vcWb6VVML5MfPbz9rVRZNA2nADZ4h4kAACABwTCk7tfywtQU388bq39icaTrLU7Jf0bub6T88aY7fUPzUv6w/ymCwAAMLAiA+GSZK09Y629R9IXdWtpyWCN97gx5hvtxgBKaX5e2rRJ2rZN2rcvvPs+yBDdts2dNz/vfw5nz/rp0dyt5iBm0fMpwuXLbgOAlL738/Hj+fVXv3LFbdRIs2HDGJf53LwZIK6REen558td4jvt17Tx597nRpEXX1z+vgPgA/cgAQAAUiIQHt9C/TnIFjL1Y/dba78Y9QJr7ZOSPlM/d9YY8wf1D5X4f9QAAAB9Y9IY813tTrDWPi7po5K+3XhYbr12j6SHs5se4JnPDNE0Ll/2O14SUUHMIudTlI9/fDmY/IlPpOv9vGNH/v3V027Y+NCHXGZ50hKVIyMuKBxVPrwsfPXzDjYY+NwoUq1Kf/ZnfsYCBttC/Zl7kAAAACnRI7w7Rm5X5UPW2m+3O9Fa+5wx5ozcDkxupAJAwXz18qYnONAz9kp6oN0J1toDxpi7Jb0s6UNavukocfMQvSJthuiRI/6Cf2vW+BknqVZBzKLmU7QgmJzWm2+mHyONYMPG/v3S9HTn8zv1zW5lYsJtoihzEFzy38/b90aR7/s+9ztlZsaNX+bMeqA3cA8SAAAgBQLhyQW9eH6i45l19ZurH5B0TNKYlnd2AgByRi9vYODcb4x5S9LPywW6z1hrQ3VbrbUL9XOflvQvtBwIB8rPV4boiRN+glYbN7pM3DzLkbcLYhYxH/gVd8PG3FzyDSFDQ9Iv/IL0z/95bwRtffbznpryv1Ek2IAxO+t6te/ZU/7NBUB5cQ8SAHxr1XYn4v8K9vr12OeqkqD4cq0WfTxqbi3OtUnaB9UizrUt5hB1LZPgc4sY10Zdv9UckrZFAmKgNHpyjyVZgAastWckfTKD+QAAACBa0EvxDknPSDou6W1jzO+3ekG9rORmSTQ5Re/wmSHqw+ioC0b6EPSJ3rEjXOZ6eHj54ydOtA62+ZwPitNc0rtZt1URqlXp85+Xvva11FPMXBb9vIONIlnIqv0CMDi4BwkAAJASgfD4xiQtWGt/LcUYf9wwFgAAALLzpFzw+zlJs3LZ4F+T9IY6BLmttfOS7pL0lYznCPjhM0PUl5kZf+NMTUl790oXL0qvvSa98op7fust6YUX4pVf9jWfpLZudSXb4UerDRu++2b7trjovmePHnXPi13utfLdz/vcuew3igTZ/En7vAODbUzcgwQAAPCC0ug5stZ+2/RCqTUAgBf0IweKY639NylfvyBp2hjzCUl3e5kUkIUsMkRHR9OPNTXlyiKnyVSfmJAefHD576Oj3c/Nx3y68a/+lZtz3J7VExPST/yE9MQT3Qd1+11Q0ruRr6oIv/d70g/+YLpxAta6eT37rPTSS7cGsIeGuuuj7buf96VL7nlmxk8/+VZ8t18A0BH3IAEAABwC4fn7tiQPd5YAAGVHP3Kg91lr9xU9B6CtrDJE0zLG9QbeurW7gO7IiOv57esmftr5dOOee6Tv+A7p/e+XXn3VZTI/+6zbuND4NRseXg6KPvigm+vf/bvxg+eDZt++8IYNX9UMPvYx6ROfSB6gbjY/3/7r120fbd/9vNeudc95bBQJsvmbNzEAyBL3IAEAwMCjNHpM1tqKtfbdHobaJtd3EgAAAADSySpD1IfJSRf0TVoafGTEvS5OYDCP+XTr9GmX4T0+Ln3yky5D+IUX4pV4n5x0wfNW/dEHWa12a89pn1URrHXB6W3bpE2buivnPTfnNlzEDSon6aPts5/38LC0YYP7c7BRJOufDZ/tF4A+xj1IAAAAfwiE58xa+zVr7deKngcAAACAPpBVhqgv09PSkSMu2zSOiQl3/vS033l0O58775RWr053zSD7Nwiuvv66dO+90gMPuOdWGfjG3Nof/bd+K908+smTTy738/ZZFaFRkgB1YH7eZfcnrToQt4+2z37e27ff+r2Xx0aRoP0CgFxwDxIA4rM1G35Ua9GP6zfCj6vX4j+utXhcvx561K7fiHzYGzfDj4jX2+vXZW/eCD+q1fiPqNe3ekS8XrbW4mHDDyADBMIBAAAAoFdllSHqU6fs5uFhaedO9/ETJ/xngqeZz5kz0h/9UfzAeSfdBFclF7B83/v8zKEfnD7tymxL/qsiNIoboJbcjbtHHum+9H7QR7vTDcCZme7GjzNO0o0iSQXtFwAAAAAgJwTCAQAAAKBXZZkh6lNzdnOn0uBZSzIf32XKkwRXG/nO/u91QZntrN+XuAHqQ4fS99gO+mi3E/TzTmNiwvWjj9L8/V7xfNvIZ/sFAAAAAOiAQDgAAAAAFGlx0QVgjx51z0lLB2eZIZqF0dF4pcHzEmc+zYHzU6eku+7q/prNwdU43wM+s//7QVBmO4/3JU6A2lf/607jpO3nvXq19C/+hfT1r7f+XdP4/f6f/3N312nFd/sFAAAAAGiDQDgAAAAA5M3a5YzL8XGX4blli3seH18uzR2nT1rWGaK41eio9Fd/Jb3xRrpxTp6UfumX4n8P+Mz+7wdBme283pd2AerFRddf24c4fbTT9PO+csVtwoj7u+aDHyx/+wUAAAAAaIFAOAAAAADkaX5e2rRJ2rZN2rfPBfQaVavS7Kz7+KZNnUtop80QHRmRnn8+v7Lk/cBX9u9P/3Sy74G8svZ7RVBmO4/3pV2A+uzZ8NewW3H7aPvo5x3nd43PjQa33y69/rqfsQAAAHyytdDDVqvpHzdvhB8JXh81L9maVKuGH9b21gPICYFwAAAAAMjL3Jy0dWv8XsKnTrnz5+ban9dthujIiHvd5GSy1w0yn9m/cTR+D/jI/u8nQZntPN6XdgHqy5f9XituH22f/evb/a7xtdFgcTHe7zMAAAAA8IRAOAAAAADkYX7eZVYuLSV73dKSe12nzPCkGaITE+786elk8xl0PrN/4wq+B772tXTZ//2kscx22qoIcbUKUK9Z4/c6SfpoN/evf+01V+Fh9erk1231u8bnRoO4v88AAAAAwAMC4QAAAACQNWulRx5JHgQPLC25vr6dSsh1yhAdHl7uCXziRG9kgi8uuuDe0aPuuVP/5Kz5zv6NK/ge+NCHuu8P3U+2b3dluwNp+mbH1Rigbvy+vHy5HH20R0ddT+9nnnG9wLsR9bvG90aDuL/PAAAAACAlAuEAAAAAkLVDh+KXQ2/l5Enp8OHO50VliL7yint+6y3phRfcx8vcE9za5WD++LjLRt2yxT2Pjy8H84sIpPnO/k0i+B4Isv/vuqu4uRQtqly3j77ZrQwPS9/5ndHfl1u2+KsS0BzgTyqr3zW+NxrE/X0GAAAAACkQCAcAAACArO3aVcw4o6PSvfdKDzzgntME2PIyPy9t2iRt2ybt2xcOMFar0uys+/imTfmXWN640V/2bzeC74HJSem3f7u4eRTpe75HevDB6I996EPSF77gelH7NDUlff/3t/6+9CVtP+4sf9cEGw18/R7xNVcAAAAAaIFAOAAAAABkaXHRZVL68OKLxZcGz9LcnAtgxs1oPXXKnT83l+28Go2OuqzdojR+D7z//VJlAP9b/6//dXRFg2ATxUMPuYCtT3/0R+kzrTuZmGgd4I8jj981H/iAv/YA/f77DAAA9DZbi/+oVaMf1mbzABDbAP6PGQAAAABydPasv+zRalU6d87PWGUzPy/98A8n76O+tOQC03lmhqfN2k2j8XtgdFT6gR8obi5Fef/7w8eSbqJIwhjp6lX/4zYaGZGefz5dy4I8ftecPSvVatleI63G/u2vvUawHQAAABhgBMIBAAAAIEu+sicDly75HS8LSQNR1rq+3++80931lpakRx/NLztiaiqbPtRxle17YNWqfK+3du2tf5+fd5shkm6iiKNSyf77amTEZXJPTqYbJ4/fNWX9fWZtdP/2++5zf9+5032cDCoAAABgoBAIBwAAAIAsrVnjd7zmIGBZpAlE/dt/K505k+76J09Khw+nG6OTIMD/x38sff7zLoBZhOB7YHFR+upXi5lDYGRE+uVfzu96w8PShg3Lf7dWeuSRbILgq1b5y35uZWLClXGfnk4/Vh6/a8r4+ywoid+qf3u1Ks3Ouo9v2pRv9QgAAAAAhSIQDgAAAABZ2rhRGhryM1ZzELAs0gSi5uelz33Ozzx27Vr+s6/yyK0C/Dt3Sleu+PvaxtX4PeCzFHY3giDud393ftd86CHpv/7X5a/poUPZlEOfmJC+//v9jxt48EH3fXXiRPpM8IDP3zWS9J3fme01fPw+S1oS/9Qpd/7cXLrrAgAAAOgJBMIBAAAAIEujo65ssw/bt7vxyiRNIMpa6Ud/1F8wd98+6Xd+x1955E4B/lot/0B04/eA7zLVSX3hC9Jbb0l//+/nd80/+INbv6Y/9mP+xh4eXv4e+aM/ckH2rLz3va7Efpqe4M18/q6RpK99LdtrpP191m1J/KUl9zoywwEAQMDadA8ApUUgHAAAAACyNjNTrnF8SRuIeu456etf9zefWk362Mf8lEdOGuDPS+P3gO8y1Un9/M9n15s7jmpVOnfOz1iVivTGG9ILL7gA9blz2W5yePHF7qsUtOPzd0RQYaG5usL3fq+f8dPMNW1J/KUl6dFHuXENAAAA9LnhoicAAAAAAH1vasplsKYJqk5MuHLKSS0uuhLaly+7wOnGjX6yyn0Eop54Iv08uhFkpe/fH92budsAf9aavweCMtVFlUc/cKCY62ahVpMuXVr+e9bZ9kEQ33eFB19l1iW3oeSHfkj63d/1/z3W7e+zgI+S+CdPSocPu9/PAAAAAPoSGeEAAAAAkDVjpD17pJGR7l4/MiI9/3z8Msqt+lp3WyI8io9AVBYZsXG1Ko+cNsCflajvAd+lsAddYyA8j2z7xuv54itDXnKbA37rt/wHwW+/PdnvsyhBtnpavsYBAAAAUEoEwgEAAAAgD5OTLgM5aTB8ZMS9Lm6mZ6e+1klLhLfSDwGkqPLIPgL8WXjPe6KPl61cfi9bu3b5z0G2fV7X86XovvFx/Kt/lS5zfXHR/U70IasS9QAAAABKgUA4AAAAAORlelo6csRlZscxMeHOjyrfHSVpX+ugRPjcXLzzAz4DUUULyiMHWfQ/9mNFzyjaX/xF9NcqKLvfy9JkBvsyPCxt2LD896yz7Zuv50vRfePjOHrUPTf3Ho8bkD571l+Wus8+8wAAAABKh0A4AAAAAORpclJ69dXl0uXNWafDw8uly0+cSJYJ3k1f61YlwtvxGYgqg5/7ueUs+jIHxaK+VmnL7pfBK6+4QOgrr0gf/Wgxc9i+PdyvO8ts+6jr+ZBHJntaQe/xbts2+M56z6JEPQAAAIBSIBAOAAAAAHkzxmXy7t0rXby4HAR87TXprbekF15wH0/SEzxNX+uoEuHt9EL55SQOHChnOfQoUV+rbsvul4W10r33Sh/8oPTyy8XMISronWW2fVZB9l7oG9+q93jctg2+s96zKFEPAAAAoBQIhAMAAABAkUZHXRDwgQfcczdZoj76WgclwuPohfLL/Szqa5W07H6ZvPqqey6q0sDEhPTgg+HjQbb9qlV+r3f33dHX86Uf+sa3a9vgM+s9qxL1AAAAAEqBQDgAAAAA9Lpdu/IdpxfKL/e7qK9V3LL7X/mK9D3fk8884/ipn3LZv0Vkg4+MSM8/37r6wuSk9Mu/7PeazzyTbV/0fugbL7Vu2+Az6z2rEvUAAAAASoFAOAAAAAD0ssVFVxbbhxdfdON10gvll/tdq69VnLL7H/mI9Ou/Xp5S6ktL0ic/KT3xRL7XHRlxPzuTk+3P++Qn/W38GBpy2ftZ6oe+8YFWbRt8Zb33Q/Y8AAAAgJYIhAMAAABAL/NZTrpalc6di3cuAaRixflatSu7X7a+4qdPS1ev5ne9iQlXSj5OUNrnxo9/+A/zyUAu29c3jahWAD6y3luVxAcAAADQNwiEAwAAAEAvu3zZ73iXLsU7z0cg6s47071+0DV+rRYXXdb30aPuOU5mf9BXvExl0n2JKt8flIY/eFA6caJzJnijXsxA7uW+8c2aWwGkzXrvVBIfAAAAQF8gEA4AAAAAvWzNGr/jrV0b7zwfgajZ2f4I0hVlzZrlfuDj4+693LLFPY+PLwd9m8tKN8qiB3YZ/Pqvty4NPzWVPADaqxnIcfrG//APS5WS3x6KagXQbdZ73JL4AAAAAHpeyf+nAwAAAABoKyrztVvDw9KGDfHPTxuIuv/+/ullnLehIRfY3LZN2rcvXB6/WnUbDbZtkzZtkubnW4/1K7+S7VzzFgSc25WGT6qXM5A79Y3fv9+VbC+zVq0Akma9JymJDwAAAKDnEQgHAAAAgF7ms3/x9u3Jg4VpA1FBMH316mTXhfT1r8c779QpaetWaW4u/LHFRff+94vVq7MLOPdDBnKrzQF5lmzvVqu2DXGy3rstiQ8AAACgpxEIBwAAAIBeV3T/4rSBqOlp6Y/+SPqu70p+7ZER6amnBi+rvDkDvJOlJbfRoTkz/OzZ5GOV2dNPZxvo7NcMZB+l37PWrm1Dp6z3bkvi4//f3v3FxnWf+cF/fhHbJKXE0tpsgdZ6X/SVF2gVUxelE3sXW0isLKZoe7FRKmXRbdYGFo2NVXdbYFtIycWiQNHWtdCify1AzkVrIykaS7bTm2CxVGJLaIDX3pgLyFK6F7W2byvtXiwkE5QYOwHk8178ZszRaEjOnzMzZ858PgAxJOfMmR85FHV4vud5HgAAmGiCcAAAgElXhfnFgwZRi4sRf/iHEefOdV+V3gwZv/a1/LhPfrK7x33ykxGf/3x329bJxkbE00/fPzP87t3xrWcYjh4d/nPUsQJ50Nbv7cqePd7L2IYyW+IDAAATbWbcCwAAAGBAzRDr0KEcdvaq7PnFc3P9hU8pRTzzTMRXvxrx3e9G/Pt/H3HxYsRHH21uMzOTK5tPnszBfUq55fezz0b85CfdPc9PfpKDzGl09WrEpUv5ooSIiN27x7qcUvU6434QzQs/lpZye/mbN3Pr7j178homMXxttn4/dqy33yOzsxHf/GbEX/pLD34PTpzIs+oH1c/YBgAAYOoJwgEAAOpgkBCrKvOLm1KK+Ft/K7/tFDKurvb+NUdEfPhhrlZtDdmrbteuctqYnz27GYTv21fefsftF39x+/bZw9LvhR9V1Gz9/tRTebb8ThYW8kU0W/3+OHmynCB8EmaYAwAAlaM1OgAAQF3UcX7xdm2OiyIHdv1UwUfkEHxSZgYfOFDevl57LV9gEJG/n8eOlbfvcbp0KeLgwQfnoNObMlu/V2FsAwAAMLUE4QAAAHVSx/nFW3nzze6qVrdTFBGf+lQpyyndrl2br9X58+VVbd+7l6vsm8ZdbTs7G7F/fzn7unYtjwhYWSlnf9Oq2fr9/PmI27cjfvSjiLfeyre3bkW88kq+f6cLSQadPV722AYAAGCqaI0OAABQN3WcX9zJ2bPl7Oev/tWIP/7j7kP1T3wi4q/9tYhf/dWIL34x4u/9vXLaP6cU8YUvRPzSL+UK2H37Nl+rt98efP+t7tzZfL9ZtTvoRQX9aLbm/5mf6X/GfbuNjVzlfvnyZF/oURWDtn6v09gGAABgogjCAQAA6qxO84tbra/nkKwMb7yRq1x///cjXngh77e1+nrXroijRx8MqNfXI27cyKF4GUH4t7+dK8A72b178P23ap2l3azaLSuI7lb7fOl+wtKtbGxEPP107nqgmnj8yp49DgAA0AWt0QEAAJg8N26U2yr8j/5o61bQt29H/M7vRPz6r+dZ3e+8k9vO792bK6n//t8vZx1/5+9stkIvivvv27fvwTb3/ZqZyZ0BWv3cz0X8238b8elPl/Mc2/nZn434/vcfbM3fDEsfeaSc57l6Nc8NpxqmaWwDAABQCSrCAQAAmDx375a7v9ZW4VtV0a+udl/R2o9793Jl+YULOWB/+eXNMHBuLldLl1F5fuxY3l9R5DnrL7wQ8Z3vlHdhwU7+5E/yXPJvfevBsPPWrdymvixnz+YLHKiGaRnbAAAAVIIgHAAAgMkzzFbhnayslNe2uxvXruVW5a+/niulI3J4XEYQfvLk8EP9nfzBHzz49a2u5u/xj39c3vO89loOXAWsg2mOAbh7N//ba51f36+6jm0AAAAqQ2t0AAAAJs+wW4W3aga0o5yfHZGf79ix/PwRuYr20UcH2+fCQsRPf5pD6HGF4E2tX19R5GC+7O/xvXu56pjeFcVmG/PmGIAnnsi3e/du3cYfAACgIgThAAAAVbC+nudRv/12vl1fH/eKqq3ZKrwMzVbhnQwroO3WxkbE00/ndaSU26XPzva3r9nZiK99LeJLXxrf19Ou+fW98cbwgvnWtvd0Z3U14uDBiCNHIl599cG2+c02/keO5O2aF2sAAABUiCAcAABgXFRcDubkyeHv5803x185ffVqxKVL+f3FxdxOvNcwfHY2twl/7rnqhOBNV69G/NN/Orz979T2nvutrPTWMaDZxn9lZbjrAgAA6JEgHAAAYBxUXA6urFbhhw9vff/Zs4Ptvyyt61hejrh8ufuvfWEhb/+n/tT4Q/2tXL48nP3u1Pae+/U7BqC9jT8AAEAFCMIBAABGTcVlOcpoFf7SS3k/nayv5+rrKnjttfvb5S8uRrz77mZHgfZ56TMzmx0FrlzJ21cl1O9kWF0Ptmt7z/0GHQPQ2sYfAACgAmbGvQAAAICpMmjF5eXLOdQkW1yM+OY3I37lVyI++KD7x83O5pB7u+/ljRsPVuqPy717ETdv3h/qppSr4peWckh+82aeh71nz2YV9I0bEb/3e/n9qoT6o1RW+/xpUMYYgGYb/6WlMlYEAAAwEEE4AADAqJRVcXnlytZVzKO2vp7D1rt3I3bvjti3bzQVuEWRg7sXXoj4znd6C6wXFnIl+E4XFNy9O8gKy3fnztb3zc3lt+b35bd/u/fvS93s1Pae+5XVMeDsWUE4AABQCYJwAACAUalLxeV2IfSuXbly/eTJvMbWwL6s0Hx1NV9Q0Mv3cmZmc12HD3d3IcHu3b2vbZj27Nn+/n6+L3W1U9t77lfmGIBmG38t6QEAgDEThAMAAIxKHSoudwpb792LuHAhvz36aA4j19d7D823srLSe2v5T3864r/8l4gvfrH7x0TkoH7XrmpUVc/MbLY776Sf70uVpFTebOlu2t5zvzLHAHRq4w8AADAGnxj3AgAAAKbCMCouR21lJeLQoe4rjq9di3j88YgjRyJeffXBoK0Zmh85EnHwYA7Zt9PvfPUPPoj4yld23n+7ubn8fFVw7NjWwWK/35cqOXSonP38hb8QcflyxPJyOfubFmWPAdiujT8AAMCICMIBAABGYRgVl6PUb9j60UfdbXftWg5DV1Y631/WfPVeq45Pnuzv+cq21ToG/b5UxT/5J7mDwKDefz/i1q3B9zNtyh4DsFMbfwAAgBEQhAMAAIzCJFdcjips3djIYXunyu0y56v3Ymkp4rOfHex5B7WwkOead1LG92XcFhby9/nll3Nb80F88MHWP0NsrTkGoAw7tfEHAAAYEUE4AADAKExyxeUow9atKrfLnK/ei5Qi/sE/KOe5+zE7m+esbzU/vazvy7i0fn2Li3l8wKBheL/V/9OszDEA27XxBwAAGCFBOAAAwChMcsXlqMPW9srtcc9Xv3ixnOfu1ac+lde7uNj5/jK/L+MwO5vX3/r1LS9H/Ot/Pfi++6n+38n6esSPfhTx9tv5ttefo6orawxAVcYJAAAAU08QDgAAMAqTWnE5rrC1NXwve776VnPIOyn76//Tf7r7bT/8MOK3fmvrNt9lfl9GbWEh4vLlHHy3K+vCgzIu4CiKiDfeiDh+PGLv3jzH/Ikn8u3evREnTuT761B9vrQ0+Jz27dr4AwAAjJggHAAAYFQmseJyXGFra+V22fPVv/KV7sPwsr/+n/60tzD82rWIQ4c6r7fs70tZ/s2/ycFxeweEmZnN4PjKlc6V7uOu/m+1uhpx8GDEkSMRr7764M/BvXsRFy7k+w8enPy55CkNNqd9pzb+AAAAIyYIBwAAGJWqV1x2av08rrD13r2Imzfz+2XPV//ww1xV301wOYyv/6c/7W37jY3O6y37+1KGRx6J+If/MOL8+Yjbt/PP0Vtv5dtbtyJeeSX/O9gqLC27+r/5M9SrlZV8AcK1a91tv90FC5Ok3zntndrcAwAAjJkgHAAAYFSqWHG5U+vn3/7t8p6rV3fu5Nsy56s3bWxEPP30zi2tqxI2d1rvML4vg/qjP9psbT43F3HgQMTjj+fbbtr5l33hQfNnqBerq/nCg42N3h631QULk2Z5Obet7/aine3a3AMAAIyRIBwAAGCUqlRx2U3r59/93fKer1d79uTbMuert7p6NeLSpe23qVLY3L7eYX1fBvHBB4OFwWVfeND8GepWUUQ89VTvIXhTtxdYVN3iYsS7725eJNNPm3sAAIAxE4QDAACMWhUqLntt/Txqu3ZFPPzw5sfDmot+9uz291ctbP5n/2yzbX3EaOfFd2uQMLjMCw9mZu7/GerGm28O/m9iuwssOo0fqKqUchv7ftvcAwAAjJkgHAAAYBzGWXHZb+vnUXvrrc33y5iv3slrr+0cRlYpbP7e9zbb1p84kcPmz3523Kt6UDfV9p2UeeHBsWPdtWNvtdOFEf3sZ6fxA81/51WuIu+nzT0AAMCYCcIBAADGZRwVl4O2fh6Ve/fub7E96Hz17Z7n5s3tt1layuFfldy7F3HhQsSTT0b85CcRn/rUuFf0oH5D5bIuPOh1P+vrefxAGZoXWHQzfuDChXz/wYOTP18cAACgQgThAAAAVTCqissyWj+PSnuL7eZ89U9/utznuXNn+/tTivjmN6szK7zde+/l20HD8JmZiC9+MeITJZ0q6KbavpMyqv8XFiIOH+7tMTduPBhU9+vevXyBSy/jB65dy9uvrJSzBgAAgCknCAcAAJgmZbV+HpX2FtvLy7kyvEx79uy8zeJixHPPlfu8ZfrwwxzY79/f3fYLC/n72t6F4J//84iPPipnTd1U23cyaPX/7GzESy/13knh7t3+nm8rv/EbvXde2Ni4vxNCxGTNFQcAAKgQQTgAAMC0KLP18yi1h/df+EJ5VcszMxEPP9zdtv/4H3cfNI/DBx9E/Jk/E/H973c3d/7QoQe7EJQdBu9Ubb+VZvV/r2H47Gx+3OJi78+5e3fvj9nOhx/297iNjTy+oPk6TupccQAAgDEThAMAAEyLMls/j1J7i+25uYgvfamcfR871n0b+pQi/tN/Kud5h+Xq1bzOfufOlx0Gd1Ntv5Xl5YjLl7tvk76wkLdfXu7v+fbtq077+2vX8vx3c8UBAAD6JggHAACYFmVX+45KpxbbJ0+Ws+9e9/OZz5TzvMPUrKDvZ+58mWFwL9X2W1lcjHj33Vz93E2Vez+V4E1zc/nCiElirjgAAMCWZsa9AAAAAEak7GrfUWpvsb20lCuFr13rf58LCxGHD/f2mEm4mKBZQd8p+F5fz50B7t7NPw/79t2/XTMMvnBh8HX0Um2/nZTy6720lNd/82b+edizJwftZTxH08mT5Xzto9ScK3758mAXAgAAANSMinAAAIBpUaXWz71qb7GdUsTLL/c+Q7ppdjbipZe2bhG+lUm4mKC9gr4oNiuqu5k3Pa5q+270U+Xei+YFFpNmYyPi6afNDAcAAGghCAcAAJgWk9j6OWLrFtuLixGvv957GD47mx/XXj27vp5nab/9dr5tnUveNCkXEzQr6FdX8xzpI0e6nzddRhg8Nxfx0UeTF8wOeoHFOF29GnHp0rhXAQAAUBmCcAAAgGkyjCrdrZRVrbtdi+3l5dwSutvgdmEhb7+8nD/utVp6Ui4m2LMnz40+dKj79vHNedMXLw4eBq+vRzz55Ga4Pkn6vcCiCprz4QEAABCEAwAATJVRtX6enY04c6acfe0U3i8uRrz77mag3V6xPTOzGWhfubJZCd5PtXQ36xm3mZmIP/mTHNhvbPT22Oa86YhywuBmuL6yMth+Rq3XCyyqojkfHgAAAEE4AADAVBlF6+dm6/Fnnhk8SFxYiDh8eOftUsoh//nzEbdv59bmb72Vb2/dinjllXx/cyZ4v9XSKyvVnyN97FgO63sNwZua86aPHi0nDG6G65NYGb7dBRZV1D4fHgAAYIoJwgEAAKbNMFs/t7YeHzR0n52NeOmlzfC6W3NzEQcORDz+eL5tb6u+ujpYtfTv/36150j/wi90H/BvpTlvuhkGf//7g7W6b4brkzgzvP0CiyNHxr2q7TXnwwMAAEw5QTgAAMAkWV/PYdzbb+fbftsg99r6+dFHI86d6631eET/oXuzqrx1X2Uoioinnhq8Wvqv/JVqzpFeWIj4wQ/K2Vdz3nTzQoRBW243w/VJNTcX8fDD1f8aer1wBAAAoKYE4QAAAFVXFJvtmffuzaH0E0/k2717N0PoXqtte5mt/e67udV5t63HW/UaurdWlZftzTfLq5Ye1hzpT/T5p/rsbMQLL0R85zvlrKN13nQzFB9UWfsZlxs3HpwlDwAAQCUJwgEAAKpsdTXi4MHcjvnVVx8M4e7di7hwId9/8GDvc5h7na0dsXPr8U56Cd3bq8rLVHagW/Yc6dnZiP/wH/qvoP/MZ8oLapvzptfX877L0BquT6K7d8e9gp1NWvt5AACAIZkZ9wIAAADYwspKb7Osr12LOHQoh5b9VFPPzQ02B3onzdB9aSmHoTdv5nnGe/bkltPDfO6I4QS6c3Odv66LFyNOn4744IPu99kMs5eXI37+53ML926q1xcW8iz1xcXcMr9Md+6UWwXdDNeH/VoPy+7d417BzvbsGfcKAAAAKkFFOAAAQBWtrvYWgjdtbOTH9VoZXpZuZ5j3U1U+qGEEuu2aX9dv/mbEf//v/beD77eCvuygds+e8qug79wpd3+jtG/f4FX/rXbtivjiF8ub671rV76oBAAAAEE4AABA5RRFrgbuNQRv2tiIePrp0bVIHtYM87KNOtAdtB18P23rywxqZ2aGE6pOcsXy3Fy+0KQMf/2v59f19dcj/vbfLmefX/rS5FbbAwAAlEwQDgAAUDVvvtldS+ztXL0acelSKcvZ1rBnmJdpGNXSO+knzO6k2wr6MoPaX/zFiF/7tYhf+IVy9hcxvHB9lE6eLGc/X/va5utY1j7L2g8AAEANCMIBAACq5uzZau1nKysreSZ5t6H9tWs5XP3d3x3uurYy7mrpUbWDLysMvXQpX9zw0Ufl7C8ih/STXrG8tNR9y/utLCxEHD483H0CAABMOUE4AABAlayv51bJZXjtta1ndA+q3xnmH34Y8Tf+RsS3vjWcdW2nzGrpKge6ZYSqw1KHiuWUIl5+OWJ2tr/Hz85GvPTS/V0AhrFPAACAKScIBwAAqJIbNx5sL96ve/cibt4sZ1+tBp1h/tFHEb/6q+OpDJ+GFtSDhqrDUqeK5cXFfMFKr9/j2dn8uPZ58MPaJwAAwBQThAMAAFTJ3bvl7u/OnXL3F1HODPOiiPilXxr9zPBpaUHdb6g6LHWsWF5ejrh8ufufp4WFvP3y8oP3FUXEG29EnDsX8cEH3a9hu30CAABMOUE4AABAlezeXe7+9uwpd38R5c0e//DDiKefziHgqExTC+peg9ph+dSncpv+OlYsLy5GvPtuDrGPH39wBv3MTMSJE/n+K1c6fw9WVyMOHow4cqS7mey7du28TwAAAAThAAAAlbJv34NhWr9mZiIefricfTWVOcM8IuLq1YhLlwbfz/p6xI9+FPH22/l2u9no09SCutug9tCh4a3hww8jfuu3Rl/9Pyop5U4D589H3L6df/7eeivf3roV8cor+f5OF0+srOTvfS8dFj75yYivfnXrfQIAABARETPjXgAAAAAt5uYijh2LuHBh8H0dO5b317S+nmeQ372bK8/37bv//m6UOcO86ezZHOr1qihym/YXXoj4znfuX9euXfnrP3myc2DYrJZ+6qnuQsiFhVwJPkkheFMzqF1ayj8DN2/mlvl79mxeKLF373DXcO1aDnxff73ebbzn5rr/N7W6mn9GNzZ6e44f/zg/7vLlyfx5BAAAGBEV4QAAAFVz8mR5+2nOHj5+PIedjz4a8cQT+Xbv3s0Wy922Jy97hnlEbpu9XQV3J+3tpNvD+Xv38sUER47k7TpVI5fR1nrSzM1FHDgQ8fjjOQS/cSPiu98t/+KGTjY2coBb18rwXhRFvgij1xC8aWNj9GMFAAAAJoyKcAAAgKpZWspBdS/tktstLOSK34MHt95PMyy+cCE/38sv7xz2lj3DvLmOmze7r6RdWemtkna7auSdqqV7rZivuu2q6EehGeBeuTLdbb3ffHOwf98Rm2MF+ummAAAAMAVUhAMAAFRNSjmU7nWGddPsbMSv/3rE4cPdh23NsHhlZfvtypxh3urOne6267eddDfVyK3V0gcO1C8E36mKflTKmgtfNb3MqT97tpznLGs/AAAANSQIBwAAqKLFxVzB3GsYPjsbceZMxKlTwwuLjx3rbb/d2LNn5220k+7fykq+0GHQKuSyDBrg9hI6D1M/owfW1/O/7TL0M1YAAABgSgjCAQAAqmp5OeLy5RyqdWNhIVfanj073LC4rBnmTTMzuQ35TspsJ10lww51+62iH6Z+Atyy590Pqt859TdulFeN3xwrAAAAwAME4QAAAFW2uBjx7rubAWB7W/KZmc0A8MqVHC4OOyxuzjAvy7Fj3bUhr1M76VGFuoNW0Q9LrwFuv6HzsPRaYd86euDu3XLX0u1YAQAAgCkjCAcAAKi6lHL4fP58xO3buWr4rbfy7a1bEa+8ku9PaTRhcXOG+ac+Vc5zdVNhXqd20qMMdcuooh+WbgPcQULnYRh0Tv3//t/lrqebsQIAAABTSBAOAAAwSebmIg4ciHj88XzbWkk9yrB4cTHiv/23iE8M+GflwkLE4cP3f65Tq/C6tJMedahbher3rXQT4A4aOpddGV7GnPrTpx/s7NCvbscKAAAATCFBOAAAQF2MOiz+whdyZXhK/T3H7GzESy/lx+/UKvw3f7O/59jKONpJjzrULfPCiLJ1E+CWETrvNO++V2VU2F+/Xt6/027HCgAAAEwhQTgAAEBdjGP28N/9uxG/8zu9t0mfnc0h7eJid63Cv//93va/k1G3kx5HqFvmhRFl6ybALSN03mnefa+qVmHfzVgBAACAKSUIBwAAqIvdu8vdX7dh8Re+EPGDH+Tq7W4sLERcvhyxvNx7q/AyjKOd9DhC3bIvjChTNwHuKObd96JqFfadxgoAAADwMUE4AABAXezbN77Zw4uLEe++u9nevH0dMzMRJ07k+69c2awE76dV+KDG0U56HKFu2RdG/Nf/msP8v/yXB9tPNwHuKOfdd6tKFfatYwUAAADoaGbcCwAAAKAkc3M55L1wYfB99RMWpxSxtJTf1tfzjPE7d3Jl+cMP37+/QVuFD2LU7aSHEep289o0L4woK7z9838+4rOfjfjWt3IVfz+vXbcB7jDm3Q968UNVKuxbxwoAAACwJRXhAAAAdVJWyDvofubmIg4ciHj88XzbHkKW0Sq8H2W0k15fj/jRjyLefjvf7lRtPIxQtxvNCyPK8jf/Zm5lv7iYg9jZ2d4e30uAO4p5972+jmVX2PejdawAAAAA2xKEAwAA1MnSUvezurcyitnDZbUK78Ug7aSLYrPt+969+Xv8xBP5du/ezbbvRfHgY0cR6m6lzOr3jY0crK+u5iD28uX+5sJ3Y1jz7gd5HcscPbCd9p/PTmMFAAAA2JEgHAAAoE5Sinj55d6rdZtGMXu4zFbh3RqknfTqasTBgxFHjkS8+uqD1d337uV29EeO5O1WV++/f1ihbjfKuDCi1cZGxNNP56C4n7nw3RrGvPtBX8eyK+y3klKuUn/rrVypfutWxCuv5NfSTHAAAICuCcIBAADqZhStqwdRZqvwbgzSTnplJc/D7raN+7VrefuVlc3PDSPU7dagF0Z0cvVqxKVLm/tfWoo4fz7i9u0c3JYR4JYZOh87ltc06OsYMZr58h99lC+e2GqsAAAAAF0RhAMAANTRsFtXD6LsVuFHjpRbjdy0uhrxxS/mKuhetLYQjyg/1O01GO33wojtdGptv9Nc+F6VFTofPZq/b4O+jhHlV9hvpZf29wAAAHQkCAcAAKirYbauHkTZrcL/438stxo5Irf+PnEi4sc/7m9NrS3EI8oLdfvdz/JyxHe/W84aIiJeey23uB+msubd/7t/13sI3tT+Og6jwr6TXtrfAwAA0JEgHAAAoM6G1bp6EMNoFV52NfK/+lcR168Pto/WFuJlhbqHD/f/+M98ZrDnb3XvXsTNm+Xtr5My5t3/xm/kn/VBtL6OEcOpsG/Va/t7AAAAOhKEAwAATIuyw+JB1jHOVuE7WV2N+PrXy9lXs4V4GaHuSy91d8HC+noOf99+O982K7fLbkk/ivbdg867v3ixnHW0t4LvdfRAL4bxMw0AADCFBOEAAACM3rhbhW+lKCK+8pVc8VyG1hbig4a627WuL4rNFvh79+aA9okn8u3evbnN+7Vr/X8dnYyqfXe/8+4PHMjf/zJ0agXfPnrgEyWdYin7ZxoAAGBKCcIBAAAYvSq0Cu/kzTcj/sf/KG9/7S3E+w11l5e33mZ1NeLgwYgjRyJeffXBEP/evYgLFyJ+7dd6X/9WRt2+u9t599//fp4J/i/+RcRf/IsRH31UzvNv1Qq+ffTAz/3cYM8zjJ9pAACAKTUz7gUAAAAwhZqtwg8ditjY6P3xvbQK70V7C+wytLcQb4a6ly5FvPBCrvZuDa9nZnJ77JMncyi63de4spK37ed7OIhxtO9uhs5LS7k6++bN/L3dsyeH8v/zf0Y89VT5le9NO7WC/7N/NuLb367ezzQAAMCUEoQDAAAwHs1W4b0Gud20Cu/H+nreb9k6tRDfKdTtJmReXR1PCB4x/vbdc3P3f49GcUFAN63gq/YzDQAAMMW0RgcAAGB8htEqvF83bpQ3G7ypmxbic3N5nvXjj+fbbkLwosjVz+MIwavWvnsUFwT00gq+Sj/TAAAAU0wQDgAAwHh1O//5jTcirlwZXtXs3bvl73NYLcTffHN4LcC3U7X23aO6IKDX17EqP9MAAABTTGt0AAAAxq+MVuGD2r27/H0Oq4X4MGaZ76SK7btHdUFAP69jFX6mAQAAppggHAAAgGppn/88Kvv25crdstqjHzgwnBbiw5plvp2FhVwJXqUQPGI0FwSU0Qp+XD/TAAAAU0xrdAAAAIjIQeWxY+Xsa9euiG9+czgtxMueZf6f//Nktu8exQUBVWsFDwAAQNdUhAMAAEDTyZMRFy4Mvp9/+S8nZ5b5gQMRTz89ee27y74goF0VW8EDAADQNUE4AAAANC0tRTz66GBzpx95JOIf/aPSlvSAsmeZ79mTbyetfXfZFwS0qmoreAAAALqmNToAAAA0pRTx8su5Grgfs7MRr7wy3FbazVnmZZiZyZXfk6jsCwJ27ap2K3gAAAB6IggHAACAVouLuSV2r2H4qFpplznL/NixyaoCb1X2BQH/63/lixiWlswEBwAAqAFBOAAAALRbXo64fDm3Se/GwkLefnl5uOtqOnmyWvsZh7IvCNi3r5x9AQAAUAmCcAAAAOhkcTHi3Xdzq+zjxx+sPp6ZGV8r7eYs80EsLEQcPlzKcsbGBQEAAABsYWbcCwAAAIDKSimHzktLEevrETdvRty5E7FnT56tPa624s1Z5ocORWxs9P742dmIl16a/BbgzQsCrl3rfx91uCAAAACAB6gIBwAAgG7MzUUcOBDx+OP5dtyztas+y3wUmhcE9Po9aKrLBQEAAAA8QBAOAAAAk6rqs8xHwQUBAAAAdCAIBwAAgElW5Vnmo+KCAAAAANqYEQ4AAACTrqqzzEepeUHApUsRL7yQq73v3du8f2Ym4tixiJMn80xw7dABAABqTRAOAAAAdTI3V93ge3094saNiLt3I3bvjti3r9y1uiAAAACABkE4AAAAMDxFEfHmm7lK+zvfub9Ke9euzSrtpaVyq7SrfEEAAAAAQ2dGOAAAADAcq6sRBw9GHDkS8eqr94fgEfnjCxfy/QcP5u0BAACgBIJwAAAAoHwrKxGHDkVcu9bd9teu5e1XVoa7LgAAAKaCIBwAAAAo1+pqbnm+sdHb4zY28uNUhgMAADAgQTgAAABQnqKIeOqp3kPwpo2NiKefzvsBAACAPgnCAQAAgPK8+Wb37dC3cvVqxKVLpSwHAACA6SQIBwAAAMpz9my19gMAAMBUEoQDAAAA5Vhfj3j99XL29dpreX8AAADQB0E4AAAAUI4bNyLu3StnX/fuRdy8Wc6+AAAAmDqCcAAAAKAcd++Wu787d8rdHwAAAFNDEA4AAACUY/fucve3Z0+5+wMAAGBqCMIBAACAcuzbF7FrVzn7mpmJePjhcvYFAADA1BGEAwAAAOWYm4s4dqycfR07lvcHAAAAfRCEAwAAAOU5ebJa+wEAAGAqCcIBAACA8iwtRTz66GD7WFiIOHy4lOUAAAAwnQThAAAAQHlSinj55YjZ2f4ePzsb8dJLeT8AAADQJ0E4AAAAUK7FxYjXX+89DJ+dzY9bXBzOugAAAJgagnAAAACgfMvLEZcvd98mfWEhb7+8PNx1AQAAMBUE4QAAAMBwLC5GvPtuxBtvRBw/HrFr1/33z8xEnDiR779yRSU4AAAApZkZ9wIAAACAGkspYmkpv62vR9y8GXHnTsSePREPPxwxNzfuFQIAAFBDgnAAAABgNObmBN8AAACMhNboAAAAAAAAANSKIBwAAAAAAACAWhGEAwAAAAAAAFArgnAAAAAAAAAAakUQDgAAAAAAAECtCMIBAAAAAAAAqBVBOAAAAAAAAAC1IggHAAAAAAAAoFYE4QAAAAAAAADUiiAcAAAAAAAAgFoRhAMAAAAAAABQK4JwAAAAAAAAAGpFEA4AAAAAAABArQjCAQAAAAAAAKgVQTgAAAAAAAAAtSIIBwAAAAAAAKBWBOEAAAAAAAAA1IogHAAAAAAAAIBaEYQDAAAAAAAAUCuCcAAAAAAAAABqRRAOAAAAAAAAQK0IwgEAAAAAAACoFUE4AAAAAAAAALUiCAcAAAAAAACgVgThAAAAAAAAANSKIBwAAAAAAACAWhGEAwAAAAA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     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 2400x1600 with 3 Axes>",
      "image/png": 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     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 2400x1600 with 3 Axes>",
      "image/png": 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     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 2400x1600 with 3 Axes>",
      "image/png": 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hYZdd68POnb2XlZy2YKFB2notE//o0fjv3UbOnJGOHfMyHAAAAADoJQTCAQAoqIEBaWODBZ4AAPSFTktKl8u3b5+e9jOuJMeZn5fOnZNOnHD38+Hsj0LwudCgkV7MxN+3L1/HAQAAAIAeQml0AOhhAwPSpk2t97t8Wao0KNGD4tq0STp5MutRAACQkTRKSk9OutLpnWTojo9L27c336fTfua9anraladPS5xM/Pl56eJF17N8/XqXqZ5V9v78vHTokJ9jvfiiOx6VCAAAAAD0ETLCAaCHbdrkrtO1usUJlgMAABRKGiWljXH9w4fCvQljGRqSnn++efC6XJY2b5Z27JAOHgz3JA/6me/Y4farz1rvZcFCg7Q0ysS3VjpyRNq1SxoddWPYutXdj45Ku3e779sGPSXTcvGin570kjvOpUt+jgUAAAAAPYKMcAAAAABA8fgsKT05ufLviQmXpZu05PrQkHvcxETjfWZnkx036Gd+6JA0NRV/LHkVLDTYtq39TP5GGmXil8uuckCjRRPBwoOZGRcY37+/+Wvo08KC3+Ndver3eAAAoHtsg1KPNmKBZaOykBGL+sxS9KI7sxw+RtSpltdGLxT8wdG50LZdG09F7nvv6tdD2/544Ycj9/3zxfeFtg0ORP+83xuIv4hxaSmcM3pjaV3kvstrw/vaBimn9o7w87t6+EbkvqVSeN8773gnct91pVuhbUOl6OP+9dHwYsjLPxBdJWh0ODwHn7PRz8PgrfDzu7wuHHIs/cD7Ix9vLvzn0DZ762bkvkAnyAgHAAAAABRLGiWla01NScePx89eHh93+zcLVvvuZ96rgoUG7WbdR2mUiT8764LucSsHBAsPZmf9ja2Z9ev9Hm/DBr/HAwAAAICcIxAOAAAAACiWbpSUnpiQXn11paT24ODt3y+VVkpqnz7dPIvYVz/zbpfuTkvShQbNNMrE74WFB2Nj4fdVu0ol6e67/RwLAAAAAHoEpdEBoEC2bJGuXAlvv3y5+2MBAADITLdKShvjyqZPTrqs8UuX3L4bNrig43B0ycEQn/3Ma8u497JgocGxY9LevS6YnXRxw/i4ywSvD4L7Wnhw+nTzfu+dGh52QfeZmc6PtXNn/PcjAAAAABQEgXAAKJArV6ITlgAAAPpKFiWlh4fbDzSm1c+81zVaaLB+vfSd70hf+Uo4QF4quaDv9LTrCR4VqO6lhQfT034C4dPTnR8DAAAAAHoMgXAAKIgtW8j8BgAAkLRSUtpHefS0S0qn0c+8iJm/9QsNfuRHpJ/6qfYy8Xtp4cHkpCsR30ngfnzcLQoAAAAAgD5DIBwACuLKFalSyXoUyNLAgLRp08q/N27MbiwAAGSql0pKp9HPPMl45+fdGBYWXKb12FhvBdKTZuL32sIDY6T9+6Vt29or5T405MrDp1nCHQAA9IaKDW+zEdskmYh9B5bC28xS9Bxjw6rroW1b174Wue/9q9aEtl24+Vbkvt+9Phratq50K3Lf9WtvhLZVbPR4bwyEQ2W3NkQft7J2ILRtYFX0Rdk77rgZ2rZhXfi5kaRBE35+168O/wySdEcpfNyKDY9LktYMhH+OyQ9+K3LfS9dGQtvmw6dyx31rKbRt8J3wNpUGIx8/+N53h7Ytv/6XkfvaWw0GAcQQ/ZsBAAB6zqZN7jp2cDt5MusRAQCQkvl56dw56cQJdz8/H97HVynotEtKd6ufeS1rpSNHpF27pNFRl3G8dau7Hx2Vdu92329wYbSnpbHwIG0TEy54PzSU7HFDQ+5x9T3SAQAAAKBPEAgHAAAAAORf0uBtUFK6E90oKd3tfublsrR5s7Rjh3TwYDgovLzsMul37HD7lct+xxdXnMUO7chi4YEPU1PS8ePx39Pj427/qal0xwUAAAAAOUYgHACAgrh82VUzbXbbsiXrUQIA0IZ2grdBSemkWbSBbpWUDvqZ+9Cqn/nsrCuxHbff9Nmzbv/ZWT/ja8V3pnpUML3bCw98mpiQXn115Tmqf9+USivP0enTZIIDAAAA6Hv0CAcAoCAqle5U5wQAoKtmZ12f7rj9kYPg7aFDLhv20KFkj5e6W1K6W/3My+Xkz4Pk9t+502UXp/l8lMvSnj2Ng/TBYoeZGRcY378/ejzWSkePSnv3Si+9dPuiicFB6ad/WhoYcBMnH97/fj/HicsYV+1gctIF9i9dclnpGza4RRC91N8dAAAAAFJGIBwAeliQARx8DQAAUCg+grdBSelmQdZa4+MuE7yb2bTT034C4Y36mVvrfv6kz2NgcVF67DGXZZxGhnynix0CcYLpX/ta5+Ot9Y1vuKB0FoaHCXwDANAvGlTEsfWVkiTJNCgEfPNmeNdbS5G7mqXwokETsY7QNCjUs2TDFY/eNRi98yoT3neVifi5JK2KGEQpamCSTMTgVg9E77tcCc9x164LP1+SpHXhTXesuRW56+i6a+GHl6L3XbLh1231QPTrs2YwvL2i6Hn6ckRh6A+sfTNy38vv3BnaduNd0c/ZmjdvhLYNzIXn82Yp+rWMMrA+uppXJaK7kb3V4PUB6lAaHQAysHGjS9hIehuo+9QOMoAvXfKX1AIAAJALvoK31ua/pHTa/cyPHo1fDr2RM2ekY8c6O0aUThc7BD3Mk5Z992Xfvu6eDwAAAAAQGxnhAJCBkyfbe9zYGKWvAQBAn/AZvJ2czHdJ6aCf+bZt7QX+W/Uz9xWs3bfPb/azr8UOX/lKe8F0H1580b2fyMwGAAAAgNwhIxwAAAAAkD8+g7f1hoelBx6QHn7Y3echiDkx4Up9D0WXA2yoVT/z+Xn3fR+CoK8vvhY77NqVTRBccuXWWakKAAAAALlEIBwAAAAAkC95Dt6mKehnHrdM+vj4Sh/0Ri5edMFaH3wHfX0tdnjtNT/HadfVq9meHwAAAAAQiUA4AAAAACBf8hy8TZvvfuYLC37H5yvo63OxQ9Y2bMh6BAAAAACACPQIBwAAAADkS16Dt93is5/5+vV+x/bqq66kfKd8LnbIUqnkXhMAAIAsWBvetHQret8BE973xo3IXc3NpYiN4U2VVeHzS9LawfAYrlai9/3+8jvhfZfXRu47YCqhbdeXo8Ncy5VwHujgYPT8c9Vg+LgDa6Kfx3WrwttH1oZ/BkkaWX0tPAYT/TzcqgyGti3Z+LmsA4o+bsWGX7jXb0Uv5PzI6Pnwxi3R53vn0MbwGN56O7TNLoef24Ya/H1gVkW8xjb6uHYp4r2LvkYgHAAAAACQL76Dt72csTs83FkP87Exl1XuK+j8q78q/eiPts5Eb8X3Yoes7NyZjx7zAAAAAIAQSqMDAAAAAPIlCN760O8Zu8PDLljry7Vr0mOPRWYfJeJ7sUNWpqezHkHxzM9L585JJ064+/n5rEcEAAAAoEcRCAcAAAAA5IvP4G0/Z+xa63qJf+97fo975ox07Fhnx/C52CEr4+PS9u1Zj6IYgvfqrl3S6Kj04IPS1q3ufnRU2r3bfb/TBRgAAAAA+gqBcACANwMDLuHq7rvd1wAAoMdlmZnpK9O2XzN2y2Vp82Zpxw7pj/7I//H37evs8b4z1bttaEh6/nnXzx2dqX2vHjwYLuO/vCzNzLjvb97s9gcAAACAGOgRDgDwZtMm6eJF9/XYmHTpUrbjAQAAbbBWOnpU2rtXeuml24NSg4MueDk9LU1OphsEnJx02aBnz7Z/jH7N2J2dda/T4mJ653jxRenrX5c2bnQTv3ay7qenXYCz1wwNSYcOdd4nHcnfq2fPStu2ued/airdsQEA0KsaVFCxt5bCG2/eij5GRIbLrTvCc//Ku29EPvzda8L/t5+/dVfkvleW7gxtu3hzNHLfd5ZXh7ZduxXeJklLy+GfYfXgcsSeDbY32Hd4zfXQtvWl6Odh3WD4+V1lKpH73jDhcN07y6si9122nf0ddrMSHRp836q3Q9vuKN2M3PfyD60LbXvP2fDPVrl2LXoQlYj36UCDnytq30YGIqpOVaJfS/QH8vUAAKnYuHElO7zVjexxAAByIk+ZmcZI+/e7oGM7fGfs9krf4nI5/SC45N4LjzzSWenqYLFDJ+65p7PHJz3O+Lh0/DhBWB/afa8uLrrHkRkOAAAAoAVCDwCAVJw86bLD49w2bcp6tAAAQLOzLtMybgZ2kJk5O5vemCYmXOZn0mC4r4zdXutbbK20Z0/6QfB67S6Q8LHYYWam82D6+Lh0/vzKa13fu7xUWnmtT58mE9yHTt+ri4vSY4/l53cPAAAAQC4RCAcAJFbbC7z2tnFj1iMDAABtyXNm5tSUy8CNG+z0lbGbp+z4uI4e7ayUvA9JF0h0utjhoYf8VA4YGHAZ6gcOSG++6bL+X3nF3b/xhvTCC+m3A+gnPt6rZ85Ix465r3ulYgMAAACArqJHOAAgsdpe4PW2bJGuXEl2PHqJAwCQIV+ZmadPpxcknJiQXn3VBb327nUB0NrAdKm00rt8+/bOx9GrfYv37cvu3LWCBRLHj8fLng4WO+zZEy84Oj7ugtfBsYNgetLFHI0qBwwPt9fzHPH5eq/+5m9K73639NJLt38mDA6ufCawgAEAAADoWwTCAQCJXb4sjY3dvm3jRlcO/coVAtt5MzCwUn6erH0AQIjPzMzJSR8jimaMO/7kpMv2vHRJunpV2rDBlabxFbjsNDs+bvDXt/l5F9TNi6QLJDpd7NBpMB3d4/O9GmSE1wsqNgSl8/fv57UGAAAA+hCBcABAYpUKwe5e0iyDHwAAb5mZ+/alGwivlVbGbi9kxzdy8WK4fHvWki6Q6HSxQ7crB6A93X6v5qViAwAAWauE//+1S0uRu9pSuKvutfeF506b3jcX+fgby+HQ0/GFD0XvWwnv+87y6sh9v3d9Q2jbwo3ofZNYNRh+bkqmErnv2sFboW3rIrZJ0pqB6Oc3SsWGn98l26C7ceT2Gw2OG953YSn6OVtrwj/HzeXByH1XXbPhjaXwa2lvNXgObPTzC/hGIBwAekiSbN7Ll13AGtkJ+qbXl4rntQEA5IbPzMwXX3TH61ZJ6fl5F1BbWJDWr3flajo9d69kx0dZWOju+eJqd4FEu4sdulU5AO3L4r2adcUGAAAAAJkgEA4APeTkyfj7jo2RtZ0HUa8Zrw0AIDd8ZmYuL7v/4NIMNFrrgtV796bTE7gXs+MD69d393xxdXuBRC16fedTVu/VLCs2AAAAAMgEgXAA6BFbtoQzi5u5fDm9sQAAgILwnZl59arf49Uql5v3f+60J3AvZ8dLbqXd4GD+yqN3Y4EEekuW79WsKjYAAAAAyASBcADoEVeukEXcay5fdtf56r3+evfHAgBAJN+ZmRvCPfu8mJ112d5xe3e30xO417Lj6w0Pu+doZqZ754wrzQUS6D1Zv1ezqNgAAAAAIBMEwgEAXgRBXzLRV1Qq0YsXBga6PxYAQAfS6EWdFz4zM0sl14PZt3I5WRA8kLQncFrZ8d18/0xP5zMQntYCCfSuLN+rWZbrBwAgZ+zNm5HbzfWl0LZ3fiC87QdWRT/+7VtrQ9sWl1dH7lsyldC2io1uYzJ/I3zcW8uD0ccdCB93qRJ9UW5VxPlWlaL/Roo6biM3KuEQ3FIlerxXl9aEtl1fXhW574BsaFtldfRzFrVvozG8sRxeKH3n6uuR+0YWLr0V/X6IZMPjAtLApXgAgBdB0LcSfy7Yt3iOAKAHWCsdOSLt2iWNjrpS21u3uvvRUWn3bvf9Xv/jPcjM9GHnTv+BJWtdOfSkQfBA0BM4zuvkOzv+3Lnuv38mJ905OnH//dLLL/tbuZfWAgn0Nh/v1XYFFRsAAAAAFB6BcAAACmxgQNq4MetRAECPKZelzZulHTukgwfD2dJBL+odO9x+5XI24/Rlejpfx6l19GjjnuBxBT2BWwmy43359Ke7//4xxvVGHxpq7/FDQ9JXv+rG9vGP+xlTGgsk0Ps6fa92inL9AAAAQF8gEA4AQIFt2iSdPJn1KACgh8zOut7ScYOvQS/q2dl0x5UmH5mZ4+PS9u1ehnObffu6dxyf2fFxpfH+mZhwvdGTBhiHhtzjgjLyeV4ggWJo973qA+X6AQAAgL5AIBwAAAAApM57UfdqZriPLOLnn3fH8Wl+3gXJfAh6AreSRdA2jffP1JTrjR53gcP4uNt/amplW54XSKA4kr5XfaBcPwAAANA3CIQDAAAAQDd7UeeRryxin/78z8NlxdsVtydwVn2Lfb9/rJXeflv60Ica9/oeGHA9zI8ckU6fDr+GeV0ggeKZmJBefdW9F3ftCrcoKJWk3bv9LaqgXD8AAADQN0pZDwAAAAAAMuezF/XkpI8RdV+QmblnT7znYnzcBTp9BsGtda/F3r3+ssEDcXoCB8HfbdvaXxTRLl/vn3I53mtYqUjf/KYLCDYKVgcLJJJWSkhzgQSKyRj33p+cdNUbLl1yv7MbNrjs7eFhFyjfsaPzc1GuHwCAv2Ir0QsxB27eCm0zdyyFti3Z6EWXS5XByO1RKhFz0YVbayL3vXZrVXhcJvpnWKqEx2aWosc1OFAJbSsNRIfPBiLOF3WuRq4vh38GSbqxHD7foAmPS5LuKN0MbbvV4DkfiDjGzQb7nl0MV83ZULoeuW/k0EzE82CjfwagW8gIBwCgoAYGpI0bsx4FAPSIbvaizrO4mZmNsog7US5Lmze7QNfBgy5Q61PcnsBZ9i3u9P2TRo97H2XWgSSGh6UHHpAeftjdB9nblOsHAAAAkBCBcADIqS1bpLGxldvly1mPCL1m0ybp5MmsRwEAPSCLXtR5FmRmHjggvfmmdO6c9Mor7v6NN6QXXnDf91nyOmkAN6mkPYGz6Fssdfb+SbPHfZYLJIAA5foBAAAAJERpdADIqStX4rWyBAAAHbp40X8v6qL0nx0eTv9naTeAm0Q7PYGD4O+xYyul2mvfJ6WSO+5P/qT06U/7GWe77x9fPe5Pn24cJIxTuhpIG+X6AQAAACRAIBwAAABAf1tY8Hu8OL2o4XQawI2r3Z7AcYK/J074HGl7759u97jvxgIJoJGgYsOePfHe9+PjLhOcIDgAAADQdwiEAwAAAOhv69f7PV7cXtTwE8BtxVdP4EbBX9/vn69/3R1zbCx+sNlnj/s4gXDk3/y8q3axsJD8/dQL4lZsmJ52v/+UQwcAIJqtRG42t5bC2wZsaNuawfB+kjRgwset2Oj/j5cqg6Ft7yytitx3uRI+RsP/5U14vDeXokNiNmJsjcZ7I+IYAxHnamRwIPo5j3ouVw9EVy5bPRjevmQbdEKO2H6zEv08XLj6rtC2D935vejDRjw9din6/QBkiUA4AAAAgP42NuZ6Hvsoj560F3W/8xXAbaQbPYF9vn8k6fOfd7fBwZVAXrOe7Gn0uC9SwLSfWOsWl+zdK7300u3vybjvp15CuX4AAAAALTRYIgIAAAAAfWJ42AWIfGinF3W/8hnAjdKtnsA+3z+1lpelmRlpxw5p82bXSz1KGj3u0XvKZfc+2bFDOngw/J6I+37qVcPD0gMPSA8/7O75HAYAAAAgAuEAAAAA0H4P6bSO0w98BnDrjY+7HsJTU36POz8vnTvn+oKfO+f+LaX/up89K23bJs3Ohr/XjR73jX5u5MPsrHt/xG0z0Oz9BAAAAAAFQiAcAAAAACYnpQcf7OwY998vrVtHoDAu3wHcwUFp927pyBHp9Gl/meDWumPu2iWNjrr3ydat7n501J3TWulHfsTP+RpZXHSZ5/WZvGn1uI/zcx854vZDdspl975YXEz2uEbvJwAAAAAoEALhAIBMDAy4G/waGHAtEe++W9q4MevRAEAPMUbav9+V027Xt78t/diPESiMy3cA9//5f6QXXvDb/zhuuelHHpFu3JDWrvVz3kYWF6XHHrv9PRX0KPch6HHf72W2e4W10p49yYPggaj3EwAAAAAUSCnrAQAA+tOmTe6eNpR+bdrkKs0CANowMeF6SreTXVkvCBTOzLjA+P796feq7jVBANdHefRSSfrhH+78OLVmZ5O9F86fd4HwNWtcUDwtZ85Izz/vMtDXr3fP486d7r3WqZ07pVdeSfZzB2W2Dx3yX4o+a/PzbmK1sLDyXOep9/TRo/HLoTdy5ox07JhbQAIAABCIWigXsak0UIl9yOvLqyK3L1fCmTI3l+Mv9CwNRv89UYk4rhqMdyli38Ubq6PPF3GMNauWIvddWwpvX1e6FX1cEz7u6sHo40btu2yjFwMvVcLP5Y2l6NDgwq3wzxz1eEkyEe8HE7Ug2TTIhLIptckC6pCLBwAAAACBqSnXW7rTMum16McbbXjYBVx92LnTb4Cy3XLT16/7G0Mzn/707WXKX3/dz3E/8hHKbPdSSfh9+/J1HAAAAADIGQLhAAAAAFBrYkJ69dWVYJiPstNFChT6ND2dr+NInZebTjMbPMryslu84cPf/tv9XWa7l0rCz8+7LHwfXnzRHS/v5uelc+ekEyfcfS+MGQAAAECmCIQDAFAgly+7qp1Rty1bsh4dAPQQY1yp4AMHpDffdEGXP/1T6f772z9mEQKFvk1Odp59Pz4ubd/uZTiS/JSb7ldBme1eNDvrKjfEfe2zrvRw8aKftgKSO05e+xX1UoY+AAAAgNwhEA4AQIFUKu46ZtTtypWsRwcAPWp4WHrgAenaNenb3+7sWL0cKEyDMa5/+tBQe48fGnL9sqN60bWLMtGd6cXnr91S+FlWelhY8Hu8q1f9Hs+HXsrQBwAAAJBLpawHAADoT5cvu0qzAzGXZFUq7n5gYOVrAAC6ymc/3slJP8cqgokJV+I5aSByaMg9bmLC31h8lpvuV0GZ7fqe7fPzLot5YUFav96Vq/HZ171dnZbCDyo9nD7td0FGK+vX+z3ehg1+j9ep2dlknwlBhv6hQ9LUVLpjAwCgH0TMa6yNP9dZsuH2Urcq0S2nlirhi4PLEdskaSDJdGsgfAHRR2bo6lK4Ks8dq25F7rtmcCn8+IHwNkkaMOEKNyUT/yLozUp0uO/60qrQtsVbqyP3vXYjvH1xOXrfyJcz0QsEdAcZ4QCA1AwMSHffHR3srlSkW7fcfZxb7eMAAOi6fuzH201TU67Pddwy6ePjbn/fAS+f5abzYPt2Pz3uk6gts90LZa19lMLPotLD2Ji/17ZUcpP2vOjFDH0AAAAAuUQgHACQmk2b3PXkTZuyHgkAAB3ql368WZqYkF59dSVwWh/kK5VWAqenT/vNBA/4Ljedtfe+V3rppe6f9+rV3ilr7bPSQzcND7ugrw87d+YjO1/yl6FPz3AAAAAAojQ6ACBFly+7ZJXLl7MeCQAAHeqHfrx5YIwrGz856bLmL11yz9WGDS5jNe1gne9y0+vWSe+84/eYSbz4onTzZvfP++qr0q/9Wv7LWqdR6aGbAeXpabeYwMdx8sJnhj4tKAAAAIC+R0Y4AOTUxo3uem/trddUKu76NeXMAQA9r+j9ePNoeFh64AHp4YfdfTcCjL7LTf9f/5d0xx1+jteO5WXp3/7b7p5zcFD61V/tjbLWvV7pYXIyfjuBRsbHXQn9vOjVDH0AAAAAuUQgHAByYssWd+01uF25kvWIkJWgt3pwi+qxDgDosiL348UK3+WmP/Yx6Z/9Mz/Ha1e3VyQODUnXrrX32G6Xte71Sg/GSPv3u+e8HUND0vPPu+PkQRoZ+gAAAAD6GqXRASAnrlyhXShWvP76SoISGfUAkANBgNRHGeI89eNFmO9y04cPd36sXtJp8LGbZa2LUOlhYsIFj3fuTJaFPzTkHjcxkd7YkkojQ5/PWgAAmmu0ADFqoVzErkuV6OyNig0//tZy9MLiWxHHWG5wXGPiL5gcTLDWb3AgfPFtoMG51paWQtvWDIa3SdLawVuxx7BU6Wzh9c1KdLjvnaVVoW3Xboa3SdKNW+FjfO+d6DnuwFLE81MKP94MRL8Qluud6BJyzAAAyJlKRbp1y90TBAeALpifl86dk06ccPeNAnm++uj67Mcbd+yIz2e5aZ8Zrr3AV9CxG2WtrZUuXPB3vCwrPUxNScePx3/fjo+7/bvZj71Wo8+tXs/QBwAAAJA7BMIBAAAA9B9rpSNHpF27pNFRF0DautXdj45Ku3e779dmSOSlH287Y0d8PstN+8xwzbuhIX+BzLTLWpfL0ubN0s/8jL9jbtwonTqV3e/dxIT06qsrnw31rRxKpZXPhtOnu58JHudz6+xZv+fMIkMfAAAAQK4QCAcAAADQX4Ig2I4d0sGD4UDl8rIrjb1jh9uvXHbb89CPt92xI5mg3HTS17q+3LTvDNe8GhqS/vk/91fKJihrnYbZWWnbNv9B14sXs/+9M8Yt2DlwQHrzTZdt/cor7v6NN6QXXnDf73ZP8LifW7/0S37P+/nPsygIAAAA6HMEwgEAAAD0j6RBsLNn3f6zs+7fvgKk7eh07EjGR7lp3z2o8yj4uf/6X/d73DTKWpfLyXtpJ5WX37vhYemBB6SHH3b3WfXKTmvhQRxf+1r2ixMAAAAAZCrcuR4AAAAAiqjdINjionvc8eMukB0ESPfsiRfcGR93meCdBMF9jR3JBOWmjx2T9u51ixlqs1lLJff8Tk+7kvf1mbZjY65EddHKo0f93OfO+T2H77LW1rrf2TSD4AF+75xuLDyII1iccOhQdn3RAQDoNTdvhTbZW+G8yluVwdA2SarYcAWaW5XovMxby9HH6NSACVeFGRyIrmA0mGDfNYNLoW2lBvtWbPhnvpngOdNydAhvOeK4N5ai9124sTq87dqayH1HNrwT2vaf37orct93vRNRdcdEvMZR24AuIhAOAECfuHzZXY+vtXGjdPJkNuMBgK7qNAi2uCg99pjrrWtM5wHSLMeOFfPzrqT1woLL3h4bC2fOBuWmJyfd/pcuuWzlDRuku+9unmk7POzeBzMzaf4U6Roakn7/96X3vKf5z+076P+f/pPLZPbl6NHuZiX3++9dNxcexMHiBAAAAKAvEQgHAKBPVCrptdsEgNzzEQQ7c8YFvicn3b87CZAmkcbY+5m17jndu1d66aXbA7eDgysLGKJ6KQ8PJ39dp6d7NxAelPTftq31vr6D/r/wC36Dlvv2+TlOErW/d3EWXRRJtxcexNHvixMAAACAPkRNAgAAAADF5ysI1ug4afbjTXvs/aRcdv2Cd+yQDh4MZy8vL7tArs++wpOT8fuMN5JF0C6q53kr09P+zh8ELW1EycWk5uddQD8Lv/mb0q5d0uioex9s3eruR0el3bulI0f8/Ix5k9fPm2BxAgAAAIC+QCAcAAAAQLH5DIK9+KI7Xrf08tjzZnbWZTbHzVIN+grPznZ2XmOk/ftddnU7Bga6GygdG3PB2dOnk2dj+wj61/IVtLx4Mbs+7ceOtb/oYn7e9V4/ccLd98rvb5YLD+LIa5AeAAAAgHcEwgEA6GOXL0tbtmQ9CgBImc8g2PJyd/tM9PLY82J+3gUcf/Znk/crDvoKd5oZPjHhAoNJg+Fr17reJt10+bIbbztZ6J0G/aP4CFouLHR+jDTVLrqw1i1E6OUsct8LD77yFennfs7f8fp9URAAAADQR+gRDgBAH6tUpCtXsh4FAKTMdxDs6lW/x2uml8eehaAP89WrLoP2pZekf//vOwvK+eorPDXlSo3v2RMvK318XHrf+6SXX27/nO1YXpYOHJD+h/+hvcdPTEi/93tuAYEPQdCyk3YD69f7GUuaFhfdYo2775bOn4/eJ8gin5lxgfH9+/31UPfJ9+fWAw9IH/6w9LWv+TlesCioyD3aAQDokI36/3wpnFd5a3kw8vFLlfj7Llfiz7EHFN7XmPgLBBudaXAgvPi0FLEtqevL4RDcws01kftGPWc3l6Kfs6jn8ubN6HDf0q3oY0RZW1oKbfv+d++K3Pe9N8PPjynFPxfQLWSEAwAAACg230GwDRv8Hq+ZXh57t0Rl0P7Yj0m/9EvSv/k3fjJTfZXonpiQXn11ZbyDdReKSqWVjN8//mPp6NHOz9mO//F/7CwL/od+yN9YfFQyGBsLP9d5dP164yB4PV+l+9OQxucWi4IAAAAAtIGMcAAAAADFFgTBfARESyWXsdktvTz2biiX42dYd2rfPtcDu1PGuID4P/yH0uc+5zKB16+XNm50r0+QpXruXHZ9ra9fj86CDzLuFxbcmMfGorNq8xa0HB52GeozM37GkxdB6f7jx/OVGZ7G59bFi50fq1YRFwUBAAAACCEjHAAAAECxBUEwH3bu7G453V4ee9pmZ11GbDeC4FLnfYWjMtcfecSVw56akv6X/0U6dWql93PWfa2DLPh2elbnsZLB9HTnx8ijoHR/nnqGp/G55TOrv4iLggAAAABEIhAOAAAAoPh8BcF+8ielEydctm4nQdEkfI29SIHActkFyBYXu3fOTkp0l8vS5s3Sjh3SwYPhTNmg9/OOHW6/cjkffa3/yT9JPm4pn0HLyUkXvC8iX6X7ffL9ucWiIAAAAABtoDQ6AAAAgOILgmCdZg9/+tMrXw8OuoDK9LQ7fm0JaZ98jH18XNq+3duQMmWtK4fezSB4oFmJ7kZlw2dnkwXtg97Pv/d7/spLt+vw4fj7BuM+dMhluPsqRe4raGmMtH+/G2MW7520+Srd70san1vT037eU0VaFAQAQErszVuhbWY5/PfOUiU61zJq+3Il+u+lSsS+AwOV6H0jiuAMNvgzzJjwzgMR2xptHzTRY4jyztKqyO1z76wLbVu8vjpy36Vb4YWky8vRz69dip/jun7kWmjbqsHovzEuXrkrtG3dpegw4vLqpfDGEiFH5A8Z4QCQE0FbyNrbAJ/SbeF5AwCEBEGwoSF/x2yUDetbp2MfGpKefz69QH23HT3avXLo9epLdLcqG/7oo670edLA6+Ki9Au/kK/AZhxBz+pyOZ+VDCYmXKDe5+dAXnRaut+3ND63fGT1F2lREAAAAICWCBUAQE6cPOmSiGpvmzZlPSoAAAokzSBYkA07O3v79vl5V0a903Lq7Y59aMg9bmKivfPm0b592Z37+99f+TpOufOXX5auX2/vXIuL0vnz7Y81K0HP6u3b8xm0nJqSjh+PP7Z77pHWrvU7hjR0Uro/Lb4/t1gUBAAAACAhAuEAkGNRWeK1t1WrXPYzGdArBgakSvzKRQCAfpM0CJZEkA176lTzLOHdu933bXRZPm9jHx93+09NJf9Z8mp+3gXIsvLLv+xet9lZt/Ah7cz0116TfvAH0z1HGs6cce+9vAYtJyakV19d+T2t72deKq38nl64IP3Jn/RGf/Fmpfuz4vtzi0VBAAAAABIgdAIAORaVJV57e+97XdCXwO8KngsAQEutgmCdWFyUPvKR5lnCnZRTTxLAO326eEGfixez7Zl95oz0pS8l6/ndqf/8n/2+R7tl3758By2NcaW2DxyQ3nzTVWx45RV3/8Yb0gsvuO8bE//3btu29MYbR33p/rzw/bnFoiAAAAAAMdG5HgAAAED/CYJgk5Muy/jSJZdNee6c9OlPd3bsGzfi7ReUUz90KFmAptHYN2xwJWOGh9sZdW9YWMh6BNLf+3vdC4IHsgz+tyvoWR0ELffsiZdBPz7uMsG7uYhjeLj1702c37sjR9wilyyUSm4ceeX7cysIrh87Ju3d6z5Ha39PSiW3YGV62pXXpxw6AAAA0JcIhAMAAADob7VBsH/6T7t77qCc+vHj7QX+4gTwimT9+qxH0H6f934T9KweHi5e0LLR793kpMtSTrtkfpSdO3vns8DX51Y/LwoCACBl9tZSeGPE2sylSnTR4VvL4e3WpjPHW65EH3cwYmgDJro9VdT2ZRv9s127FQ6rzb2zNnrfa2tC2yq3oo9rI56zRgbXhl+fDUPXI/ctDYbLZ16P+BkkaXBVeN8b74ouv3lrfcR4o9p/DTR43aPm/EnbhwExEAgHAAAAACm7/tOLi9Jjj7mSwHkPAGZtbMyVVe7FDOl+VNuzuh+Clsa4vujbtnW/asD0dHfPlzf9tigIAAAAQCz0CAeAHrVli3T5ctajAACgQLLsP33mjPT7v5/NuXvJ8LDLfEVvaNSzenhYeuAB6eGH3X2vBzDn511bhRMnpLVrpd/7veR90TsxPu4y6QEAAAAAtyEQDgA96soVqRJdmQYAALQj6/7TP/Mz0u7drs8wJeEa6/fM116Rds/q2uDzuXPdL1lvrftd3bVLGh11JdG3bnX3u3ZJP/Zj0j33xDvWffdJ69a1N45161zf+m9+k7L9AAAAAFCHQDgAAAAASNn3n7ZWmpmRduyQNm+WyuVsx5NXQR9m+Dc+Lj3yiJ9jpdGzulnweXS0ewtJymX3O7pjh3TwYLiSxPKy9PLL0muvuWD4I4+4kv61SqWV8X7rW9LXvtZeFvk777jWCt1+DgAAAACgB9AjHAAAAACkfPWfPnvW9Rk+dEiamsp6NPmSZR/movqJn5B+4zdcee2jR10Qt1O+M/fLZWnPHve7EWV52S0kmZlxQeH9+6WJCb9jkKTZWRfkj/vee+016fvfd+P64R9u3Bd9ako6frz5z9hKt54DAABQeDbibyJTMaFtN5cGQ9skydrwvpWIbZI0YMIL+JaWo48bpTQY/++3pUp0buitiO3Xb0WHz67fXBXaduP66sh9o9YmDq6KLvE5uO5WeNtg9L6liO13rLkZue/qiOfnXXdEz2Uv2pHQtps3oysXVUrhH67y7jvDO37/LyMfz8JNdAsZ4QAAFMTAgLummvS2cWPWIweAnMhb/+nFRTceMsPDJibcIoFu9mEusn/0j1ymvTF+Mu599KyuLX3+5S9L/81/Ez9AHCwkmZ3tbAz1yuVkQfDA4qL0C7+wMv5GF/0mJqRXX13Jeq/PIk8irecAAAAAAHoIGeEAABTEpk3SxYtZjwIAetz0tMumzIvFRVf2+PRpF6TsN/Pz7j+3hQVXun5sbCWL1kcGLZwNG1a+7jTjfmhIev759t6v1rqM9L17pZde6qw6w+Ki9LGPSX/0R36yoq1177V2qxAsLrqy5YHBQRdUn55eWYQgrSxGmJx07/9Ll6Q/+zPps591ZdCTnnPnTvd7QmY4AAAAgD5ERjgAoK8M8D8fAKCZPPafPnNGOnYs61F0T5I+0K0yaEslFwz9ylekP/1Tt8iBLPLblUquREytdjPuh4bc49oJurbqu92Oa9ekT37ST9nFo0f9LrgIypjv2OF+7qjKD8PD0oc+JD3zTPIgeCBYTEPpSQAAAAB9iHAAAAAFcfmyS5QLblu2ZD0iAOhBQTZs3oKl+/ZlPYLuaBUMjQoeBhm0Bw5Ib77pymm/8oq7f+MNF5h97DEXTP/EJyipXm/nztt7VQeCjPu4C0PGx93+UT3ta8ucnzvn/l1rdtZloKeR2X/+vPQ7v9P5cdL8HWxWxtxHAL7fFtMAAAAAQBWBcAAACqJScdUzg9uVK1mPCAB6VB77T7/4Yjh4WDRJg6FRwcPhYemBB6SHH3b3PgK8RffYY42/FyfjPsjQP3369kzwuJn9p06113c7id/4jeiM67jm591nQpqCMub14/QVgO+XxTQAAAAAUIMe4QAAAABQL2n/6TVrpBs30hvP8rJb5RQV2O2mZj27O1EutxcMbbcHchDgPXbM9aM+dMhPKe5e9LM/K3384+Fe1YGontVXr7q+4nffHf36l8vNf3eCzP6ZmfR/d4Lz/eIvuszodnqXX7zYnfdHUMb89Gk3Tp8B+GAxTdafIQAAoHdFdFpZqkTnWkbNuBo1aok6hjHRew9GbB9oML1bjjjuko3eeWk5vO/NpcGIPaWBgfAY3n3X1ch971xzPbTtrrXXIvd99+rw30LrBm9G7rvKhOemdzTYd/1geAwjg9FjKA9/ILTt313dHLnvmj8OhxfN5b8MbavcjB4X0C1khAMAAABAlCTZsH/yJ+lnkF+NvriSuiQ9u9s9/p497WcEt9sDOaqk+r/6V+2NoZdVKq17VQfiZNwnzexPOwgeOHeu/fLgCwt+x9JMbRlznwH4YDENAAAAAPQRAuEAAAAA0Eir/tMvvOC+/9BD6ZdT37AhvWM30k7P7qTy0AM5CPD+5E+GFzz0k2a9quNoN7O/W9otD75+vd9xtBKM03cAPqvFNAAAAACQEQLhAABvBgZchcwB/ncBAOTR/LwLYJ844e6T9txulQ2bZu/pUsn9J9tNPnp2x5GnHsjDwy6Q288a9apupdPM/m4IyoMnNTbW3QUSwTh9B+CzWEwDAAAAABkiVAEA8GbTJlfBcdOmrEfSWKWS9QgAAF2VdlnvevXl1NvpRxxl587u9vbtpGf3xz4WP4iaRg/kTk1Pd36MXtdOuXkfmf1pa7c8eLcXSATj9BmAz2IxDQAAAABkLNzNHgCANl2+7K7XXb6c9UgAAJALxu7Z0zg4F5T1nplxgfH9+10gu1NBOfXJSenf/TvpZ36m82N2MzjbaWbvtWvSJz8pfetbrRcCpNEDudMFA5OT7v2Q96Bu2oJy85OT8fb3ldmftnbLg09Pu8+Kbrl6dSUA7+O8tYtp5ufd797Cgss6Hxvr7kIbAACQe2YgPI83S+Fty8vRuZaDg+FMlEZ/GRgTXnw5ELGt0b6VBms3bSV+HuiqUvhvktGha5H73rn6ndC2uyK2SdL71oQX6t695q3Ifd81GG6L855S9ELfdw2Ex7bGRP9dNRjxnF24NRq5b5TS6ujj3hpaHd64tBTeZhq8DtbT34FAC2SEAwC8qVTc9WeyrgEAmetWWe9WfuqnOi+VPj4ubd/uZzxx+MjsPX9e+p3fab1fHnsgG+MWRaTZ771X/G//W7z9fGb2p63d8uDBAoluCcbpaxHM5z7X3eoYAAAAAJADBMIBACioS5ek1atdkk/UbcuWrEcIACnppKx3O72Rm+k0qDo0JD3/vL8S63H4yuz9jd9o/VzmtQfyxIQL7PZ7MPyll1yp+1YBUp+Z/WnqpDx4NxdI1I7TRwD+vvukX/kVaccO6eDB8GsVVMfYsUPavNnvZyAAAAAAZIhAOAAABXbrlguIR92uXMl6dACQgk7LerfTG7mVdoOqQ0PucT7KtcflM7N3eVn6xV9s/lzmuQfy1JR0/Hh3s4Dz6Gtfax0g9Z3Zn5ba8uDt6NYCidpxdhqAX7tW+ou/yL46BgAAAABkgEC4R8aYjxtj/sAY8y1jzJ8ZY75qjPmbrR73+c9/Xl/+8pf19a9/XfPz0T0fAKDexo3uWm+j2wCf8ACAfuSjrHfQG9mnpEHV8XG3/9SU33G04juz99y55s9l0APZh06DnFEmJqRXX10pKV0ftC+VVkpK79rl99x50yxA6juzPy0+yox3Y4FE/TjbDcCvXevu34nuWdlQGtUxAHjV7jXIb+uMLtnv6E37upbsrW4MFQAAIFOESTwxxnxV0gFJj0q6V9KEpF2SDhtj/oMx5p5Gj/2pn/opffGLX9TU1JRGR0e7Ml4Ave/kSXetutFt06asRwgAQAZ8lfX2dZxaSYKqp093NxM8kEZmb6vn0lcPZF/HqWeMK0994ID05psuuP/KK+7+jTekF15w30/r/HnSKEDqM7M/LQ88IG3f7qoenDsnnTjh7ttZjN7qd7kT4+NunPWSBuAffNCtjr1+vb1xpFEdA4AXnVyDfLc26qIuqKzjOqZ/05XxAgAAZKmU9QCKoDoB3SWpUeO+j0o6aYx5yFr73fpv/viP/7j+y3/5Lyqz2hoAAABon8+y3i++6I7nO8M4CKpOTrrjX7okXb3qelvffbf/8yWVRmZvq+cy6IHcSSZ/o+Chb8PD6f4cvSAIkJ4+vdK7Psjsn5nJdmyNDAxIv/ZrbqHJSy/dXvVgcNCNfXravYam0Z/1dRr9Lv+X/+LaM1y7lnycQ0PS8883HkMQgD92TNq7133e1f4spdLKz1KpSI88knwMtYLqGJOTnR0HgDedXoMc0bt1Xe/oqt6SFQtdADRhwjmUA0vh3ZaW4i8IHBiI/7kzYKL3HYw4RmkwuqLV2lJ4wKsHovddFXGMpUp0Hum1pdWhbRUbve8bN8IVfc7o/ZH7DiT4XC5F/BxrByNeIEnrBsMVQL53fUPkvuf/8l2hbctX1kXuu7wm4r+iSsTPYCuRjwe6hUB4h4wxPyppt6Q5SV+Q9Jy19u3q9z5Y/d7jcis0z1cnov9v/XFGRka6NWQAAADIlZSU9ITcPG1O0gVJX7TWHmmw/2fk5nbnJZ2q7n/SWktvm7zwWdZ7edkFgN73PhccHhvzH6RuFlTNSpDZ67M8+vKyCxI2+lmDHsjbtrXX271V8LBbOv05eklUgHR6Or+B8Pe8R/rsZ6O/t7zsxj0z4xYy7N+fvBpD7e/yww+vLAxI8j4YGnKB7VbnjruYZvfuZD9DI/v25S8QPj/vPu8XFtL7fAZyyNc1yFVa1bUxAwAAZI3S6J37vKS3JN1jrf2nwQRUkqy137HWPmOtvV/SZyVdlVQ2xvxXGY0VAAAAaq+kpLX2S9baj0qakZvbzUp6s2uDRmu+y3r/7M9KW7e64Njo6ErZ8iKXCvbZs7vW1avNvz8x4TLHV4ezK5paty5e8LBb2u3l3IvqS94HGfF5Y4z0ve/F27dZH/QkkpYxHx93+09NJTvP8LAr+f7ww+4+CAanUR0ja9aulKIfHXXPbb99PgNcgwQAAEiMQHjn7pX0mVaZQNba5yR9UNJ/lPR1SXfXfp/e4ADqbdnikhvavV2+nPVPgIEBl5gzwP+2QK7UlZSMugUlJT8Q9Xhr7cuSvlqzP/IijbLegSBrdMcOafPmcI/kIkmj1/WG6NJ7f6Vclh5/XLp5M9lx8xj0ShoEbce+fc37zH/969KP/Eh655fCAdKrV6Xf/E23OKEdQ0PpTJqSvkca9UFPqlUf8eC1OnLElZn3uZjDd3WMS5f8HKtd5bL73N2xQzp4MPyz9dPnM/qdl2uQJSVcdAYAANDDKI3euR+VdDjOjtbaOUkPGWOelfQf0hwUgN535Ur215zQmU2b3HXIsTFeSyAvfJWUrD4eeZNGWe8oQdbooUPJMzh7weSk9KEPSX/+536OVyq5lWGNzM5KP/dz0jvvJD/29esuaHn8eH6ywqXWvZw7NTkpfe5zzUtj/5//Z7pl2peX3UTne99zP2N97+0kgrLgzz3nr7y6Me0vlFhclH7+591zuGFD+6W345Yx9813dYxWFR3SNDubrMx80T+f0e+4BgkAAJAQgfDOvZ20L6S19gljzF9K+vspjQkAAADRgpKSH6yfw1lrvyPpGUnPGGMel/S0XEnJiQbBcOTN8LD00z8tfe1r6Z8ryBrNWwDWB2Okf/kvXbllH8HbnTsbB/zKZff9doLggcVF6bHHXFZt1n3Ca9UGQS9elD7wAalS6fy4tQsLmvWZD8q0J+1VncRP/7T0ne90dozxcdfjfWLC/Ww+AuHve1/8cuiNfOtb0o/9mPt6cNA9j9PT7vVs533W7LXyzXd1jFYVHWr56N8dHOPkSdfbPennQ5E/n9HvuAYJoHsGwvOdgVvh3W4sRleZWF4T/jtiYKDBXNiEFy/eaDCswcHwvibi8ZL0dsS2wcHoMdy4viq07dbVBhU0KuHnxiw3mB9G/DllIh7vjhHvXJKkgfDPbBtNUSO2m6XonVcthLdvaNAQbu1bSxHjijhuHqt4oa9QrLVzJ40xf7ONx/2L4IuLFy96HA4AFBvlxgF0qK2SkhFl0ukNnlc/93PdO1cQgC3iH/YTE9IXvuDnWI1KrVsr7dnjJ0h75owLpuahl3GUsTHp4x/3c6xmCwvqpV2mvd0geKOy4D76jN9xh/RDP9TZMer1WuntoDqGD6WSC4SfOyedOOHu63/PfPTvjjrGY4+1v0imyJ/P6GcdX4O8rmsehwMAAJB/hBE69xtymUOSJGPMDmPMHxhj/k7cA/z8z/+8Tp48mcrgACArQcDad9A6KDe+aZO/YwLoK4lKSlprH5I0I5cZHtkzHDmTdl/kemfOuPLXRfR3/650332dHWN8XNq+Pfp7R4+6Msa+fPrT8YNuWfDVez3pcWp7VXdzoUiUtWtdQPmNN6QXXghnVxsj7d/vSqW369o16Y/+qOOhNhSU3p6dTe8cnRoedgsmfHjf+6R77mkc3D51qvP+3a16gLeryJ/P6FcdX4M8o1d0VW+lMjgAAIA8IhDeIWttWS5L6KvGmGG5C6WPypXUvCfOMf7lv/yXOnDgQIqjBIDuCwLWvoPWly+7JJfLl/0dE0BfaaukpFyZ9MMEw3tAkhK+vuzb1/1zdoMxLljZblByaMhlaTcqI53G85bnzF0f2c7NFhY0E5Rpf+mlbIPh169Lv/mbzX9Pg5LunQTD0xaU3s7T+6uer4UXly41D25/+MPxF7RELSKYnXXbfC6KqVXUz2f0JR/XIB/UVn1PVKYEAAD9g0C4B9bapyS9LOk1SSNa6boQq2TmBz7wAZ08eVI/+qM/msr4AKBIKhV3Pc5Hi00AfamtkpLW2mfk+osTDM87nyWB43rxxfyW5O5Uu0HJoSH3uEb9eefn3ffTlLfM3U6znVstLIjr136ts8d3Kk6Wbtol3X3Ie+ltHwsv4kj689cuIiiX0+1hLxX78xl9qdNrkOt0hx7WI9qgkTSGBwAAkDsEwj2x1j5nrR2V9JCkJyTdnyTbaGRkRKdOndIXv/jF1MYIAACA9ktKWmtnJH1K7uLjlvSGiI74LAkc1/KyW6VVVEmDkuPjbv+pqcb7XLzor/xxMz4zd+fnm/dJjiOthQVJdCtA2kycLN2gpPvXvx6/J3q3daP0drvvOx9l5tOyuCjt2eNuaQbBpeJ/PqMvdXoNcpVZra3mUT0gD/+nAAAA5Fwp6wEUjbX2G5K+0e7jP/OZz3gcDQD0n4GBcCn2y5fJIAfgWGvLxpivG2O+KukzciUl75T0qDHmoLX2tRiP/6ikP0x/tGjb9LQr29tNV6/6Pd78vAsWLyxI69e7TPcsg4FBUPLYMWnvXheUrQ1kDw5Kjz7qym5v2yb9wA80P97CQrrjrRVk7p4+nTyb2lrXy3zvXldWvP5n3rnTvd/qe103Mj8v3X23CwT/1m9J3/5268eMj7tMcB9BcGklQLptW/pByEaCLN1W7+ngOc1zRu++fe7198nX+25iQnrmGemXf9nv+HxIqxR6FN+fz0BOdHoN8m5zr8fRAOgHq66G5x2V11dF7mtNePvAjejjDtwMH9c2SOE0EcVoTKP1tVGFaxrsu+Ht8M4DtxocN+pUjVJOk/z5EXHtcqDh2uGIAzco1BP5nFWidx5YCm8vXY++qLpqYSm88b3vCp9rPvpvP3vrZuR2wDcywrvMGPO3jDF/K+txAEBaBgbc9d2NG7M5f21v8jR6lAPofZ2WlLTWXpDLCG/7wiNSlkXGq4/e5NZKR45Iu3ZJo6PuZ9i61d2Pjkq7d7vvZ1WKOegzfeCA9OabLpC1d6/00Y+67//BH7jg3Ph46/GuX9/VobeVuVsuuz7jO3ZIBw8275PcrB951Ov62GMuCB5MnAbq/jQvlVaev9On/QXBA1n34U6SpZv3Hs++S2/7et9J7r2X9+evG3x8PgM9iGuQAAAABMJjM8Z8wRjz2x4O9Ywk6p8DKKwgEH3yZNYjAYDGOi0paa2ds9Y+JOmzaY0RHeh2SeBSyQUzO+Ez+NUN3/629MlPukzTP/zD5OPNopd7koDg7KzLmI6btdqoH3mr17VScQHhSkW6/36X+X3ihPQnfyL93b8rvfe96WWzJi15f999fs8f5+fqRi/5Tvksve3rfRc4erS7mdd55OPzGegyrkECAAD4QyA8vqeqNx8S1uMDAMCpTxhrxRh37S/qllXWPpAn1tpvWGu/ZK39TpuP/5LvMcGTbma87tzZWdly38GvtPkYbxa93ONm7pbLbmxJy4bX9yNP+jx9+9vSL/2S9GM/5ioBdKMaQFDyPshYr1+cUJuZ/rWv+T13nCzdbvWS75SPxQq+3ne1yAbv/PMZyAbXIAEAADyhRzgAFFxUz+wo9NFuX6PnOI1Ac9LX6P3vd9eQAaAvBRmve/akmxU5Pd3+YzsNfh0/7r9sdjM+x9vtXu5B5m6zoJi17v3Sbu/soB/5V77S3vMUFfQNsutnZlxgfP9+v695UPJ+ctItFLh0yQV2N2xwK+eC52t+3gXKfQSm42bpdrOXfCc6Lb3t6313+vTtfdXznk3fDZ18PgMAAADoeQTC45uTdKcx5h5r7WtJH2yMGZbrRTkiKaOmfgD6UVCqvJWxMX9VHftN3OcYAJCBIOP12DHXz/rQIb8ZpuPj0vbt7T02jeBXmnyPN+jl3s3Sza0yd32Ukj5zxmVXt/s8NRNk1x865BZ6+DY83HihQJDF72PxQtws3W73km+Hj9Lbvt53x4653yupd7Lp09TJ5zOQrTlxDRJA1iLmET/w+2+Eti3duTby4asuz4W22YVr0ecaCP8tYxr9fRO1fc3qyF1t1PZG86OI49o71kTuurw+vL2yOrqEY2Uw/t9pA8vhj2xTif4YN0sR2xvsO7AUkVXTqNJU5Biis3JMxHHNjVvh84/cGfn4ytzb4WHduhk9LqADBMKT+4Sk30nyAGPMf62VCajkJrQAgD7RTmY4GfpAZ4wx/0LSt621LedtxphvVb+8IDdPe1PS+ZqvL1hr/2MqA0V3NMt4/f73pZ/8yfaClkNDrqdznCD0/LwLTC0suODe2Jh06pT/4Fea0gjW/cqvuD7j3QrYtcrc9VVK+rXX/BwnyuKi9HM/J/2H/+CC4t3kK4v/0Ufj7Rf0ks9zQNdH6W1f77t9+1Z+t3olmz4tST6fgfziGiQAAECHCIQn94wxRnEuqkqSMeYzkr4o15MnWE4zktLYAAARGgWiuxVsPnky+WPI0Ac69oQka4z5lKTd1trvNtl3QNIHJd1X/Xf9Emgr5s3FUZ/x+sADLrs2aRnroSH3uGYlqq11weO9e6WXXro9mDc46K+HRm3wK00+g3XDw+mXrK/XKnO3l0pJv/OOy3T9xCfcQoLJye4E/Hxl8f/6r0sf/GDrrHafWehp6bT0ts/33YsvuuMND/dGNn1a4nw+A72Ba5AAAAAd4oJefCNyk0gjNxG9z1rb9C/eaibS47p9AgoAueTrWnwafbE71SgQTbAZ6AtbJF0wxuyy1kZGGqy19xlj7pR0b3X/z0r6Ua3M/VB0SXuJj4+7TMNmQZZyufnxgn7VPtQGv9LiM1h38KD07/+9dK1BacS0tMrc7cVS0gcPulsavcOjGOPOs21bZ6Xfr12L3+O+273kk/BRetvn+y74XBke7o1s+jTE+XwG8m9EXIMEAADwIrpxAZp5QtJrkp4wxvyHqB2MMcPGmD9TeALKhVQAuXXypLsO1+mtnexnAEhRcBFxxhjzrxvuZO3b1tpvWGu/ZK19SC4YztytnwS9xI8ccf2dBwdv/36pJO3e7b5/+nTzIMvsrAsUdivb2WdQvRGfwbpKpftBcKl55u78vHtde1XQO3x2Nv1zTUy4RRFDQ50dJ+gZ36g/YSDIQs8bX6W3fZcwv3rV3QfZ9Hn14IP+Xtckn89Ab+EaJAAAQIfICI/vbUkVa+2XjDEH5PrtfNQY8/9JmgrKbdb14gkmoMH9bklfknRn10cPoOcUOUMbALosmI/tNsZMyJVK/3+bPsDa54wx90n6e90YIHKiWS/xu++Ol3FdLicvs+5DEPzq1eOnLSpzt1np+l60uBg/y7pTU1PS7/yO9NnPdnacOD3ufWWh+3THHdI//+fS0pJ07pzLvm63IoPvEuYbNqx8ndds+qEh95pK7b+u69ZJX/yi9OEPx/98BnoH1yABZM4uLYW2LZ/7/0LbGq26WWq12LFdnS5CNNG5oQPr1oZ3XR+98LM0HDF/WxUdarMD4fOZRn0alyO2N/gbxSxFbI/a1ugYDV4fG7W90uC1tOHxRj7+Vvi9JElmMPzc2KUGr29a7yf0BQLhMVlr76r5ek7SQ9XJ6CcknTLGPCLpw5Ke1crnfzABnZO0w1r7H40xPy8moQBiKFJmdZxgfLf6dQPoK7VzsmBedr+ksjHmyRj9Fn9bBML7V30v8TisdeXQswjW1Qa/fCuXpf/uv0vv+GlbuzacuduqdH2vCrKsT59Ov2f44cN+jhOnx32QhZ7FIpN6Gza4igaf+czKtsFBN7bp6eT92n2WMC+VXFA44Kunu0933HF7/+52XtegB3irHvNAj+IaJAAAgD8Ewjtgrd1tjHla7gJpubq5vgxRWdIj1tq3g8dIkjFmrMvDBYDMxAnqZ9Gvm6x7oPCekTQh6VGtBMOllX6LU5I+aa2dj3qwtfZtY0xZrl840NrRo9kEnOqDX7Xm511Z84UFl3maNHN1djYfwcdOVCq3ZxAU4Wdq5swZlym7fXtnmcrN+OwZH7fH/dSUy3bPegFDVHWE5WWXeT0zk7xfe1DC3Efm9s6dtz+Pecym/93fvT2AnfR1pQc4+hTXIAEAANpDj/DO/bakC3ITztoyREbSc9baLcEEFACQvsuX3TXfOLcrV6KPsXEjfdGBgvhLa+1HJf2Gbq/YFszXPirpgjHmbzY5xoUUx4ei2bcvm/PWB7+sXel1PjrqAnNbt7r70dGVXrqtystlVebdt5s3pb/xN6RTp4rzM7UyPb3yen/sY9L/8X9Ir7ziynjPR679ScZnz/gkPe4nJqRXX115fw8O3v79oFf0Pfd0NqY1a9p/bJJ+7fPz7jX5m83+G0pgejq8rd2e7hFlPL2IqiQQ93WlBzjANUgAAICEyAjvQF0vntqrSFbSE9baL2cwLADoa5VK9zPLAeSbtfYZY8xhSQckfVC3l0oflXTYGPO0tfbvRzz8ze6NFD3NZ4ZsUrXBr1Ylv+NmrmZZ5j0NN29KDz8svec96f9MH/yg9J3vpHuOuJaXpa99zd0CnZTxDiwseBuipGQ96I1x456cdL93ly65x2/YsNIrulzuLAv6xo32Hhdo1q89rd704+OuCkCUdrKuv/IV97zu3euy9n31MGpUASDO6wr0Ma5BAgAAtIdAeEzGmHskyVr7WvXfn5H0RYV78QQeN8Z81Vqb4C96AOhfPsqL02ccQCPW2rKk+2r6K9aXSn/KGPOoXDlJ5m9IzmeGbBK1wa+kJb+DzNWoXrtZlXlPU6Uife976Z5jaEg6cMD16c7r89dJGe/A+vV+x9Ruj/vh4egAaR56ikf1a0+rN/3QkCsX3mxRQ5B1feyYC24fOnT7Z1aptLJAYvv2lWNNTkonTriqEj4EFQCaBbYbva5An+AaJAAAgD8EwuO7IJcR9G5jzBclfUbhXjynJH1S0oykLZJOGWOmrLXfzWC8ANBTfJQXz6LPOIBce1f9hmp/xcflLiYG87jgYuIWSa8ZY/6WtTaj1F70LN8ZsnHUBr/aLfndKHM1qzLvvWxoyAUXH3oof32ZG2m2GKKZsTGXWe5j8UezHvedSJoFvWZN55ng9c6ccYHnycn0etMH77s4ixnyknWdpAIA0J+4Bgkgn1q1VuqFMdjo+au9eSu0zbxzPXJfE7X4sL61S7Bv1MYGc2i7HJHds7TUYN/wMaK2uW9EPGcNMolsGq9xpcExLdlM6A56hCdzlzHmzxQ9AX3WWvtha+13rLUPSToo6X65ieh/FRzAGPNfG2N2dHvgAAAAfejeqI3W2ufk5mmv6fbMGivpLkkzxhiigEjGd4ZsK+vWrQS/Oi1jHmSuBhc9sizz3qvGx13QNQgmBxnJa9dmO644gsUQ5XL8xwwPu8f4UN/j3qdWvacHB6Wf+Anpt3/bfxA88L/+r+69kUYQvP59l8TwsPTAA65lwAMPNH8N8lIBAOgvXIMEAADwgEB4cg9pZQJqqrcnrLWfq93JWrtb0j+V6ztZNsYEVwnKkv6we8MFAADoW5GBcEmy1l6w1t4n6Uu6fZF2MMd7whjzrWbHAG4TZMh2S+1KfR9lzIPMVSm7Mu+96p57XD/l+ozcqSnpIx/JYkTJBYsh3n5bOnfOlcI+d84timiktjd9J3wdp5EgC/qFF1xP7o9+dOV3dXlZ+oM/kP7+30/v/H/wB67UuK8geKkk7d7tgvunTycva98On59vaVUAAIqJa5AAAAAdIhAe31z1PsgWMtVtD1lrvxT1AGvtU5I+W913xhjzB9VvNWncBQAAAE8mjDEfaLaDtfYJSR+V9HbtZrn52n2SHk1veCgUnxmycVy/vpLF66uMeXCcLMq897LXXnOBztnZ27fPz7tFCr3izBlpdNT1Dd+61d2Pjq4EXevLJE5Oun06UdvjPk3lsrR5s/QzPyP94R/25kKPffvc4oQ33nBB/cnJ5j3BfeqVCgBAccxV77kGCQAA0CEC4e0xcqsqP2it/UazHaulNz9afQwXUgEAALrrQKsdrLWH5TK//6PCpdKB+NLObK23uCj9wi/4K2P+4osueNvtMu9FEFVevBcz6+t7BS4vSzMz0o4dLpBc+/MZ43qhDw21d67aHvdpmp11fdA7rZqQtSNHWpcwT1OvVAAAiodrkAAAAB0oZT2AHhT04vlcyz2rrLWHjTH3SzopaUQrKzsBAIi0cWO+jgP0sIeMMW9I+m1JL0u6YK0N1fq11s5V931a0t8TQXC0I8iQ7WbA7Zvf9Hes5WXp0qWVMsi9FsTNWlBe/PRpF9w9eTLrEfl19qz04z8uPf209Mgj7n0S9EJP2v96aGilx32ayuV0enNnIVioklUg3MfnW7cqAADFwTVIAOgWWwlvWlqK3vfaO+FtAw0Wd1bClxZso7+zIrbb+qpMzfaNOFdiEc9DVzX6eYEOEAhP7nFr7ZeTPshae8EY80nRmwcAEEPRrp0DGQn+Er1L0jN/tdGYWWvtfxv1AGvtU8aYr8oFzandimSCDNlt23o38Hb16koZ5JmZrEfTe4Je67duSZ/9bNaj8e+dd6Rf/VX39eCge59MT7uf+bHH4gVJx8ddJnjaQXBrpT17evd3sV6wUCWrQHinn2/dqgAAFAvXIAEAADpEafT4RiTNtTMBrfFnNccCAABAep6SC34/J2lGLrD9DUnfkRTKCK9lrS1L+qCkr6c8RhRRkCHbbrnorG3Y4O4pX9y+f/JPXID4nYhMkSKpLZv+2GMuyHnkiLRrlwuS1yqVVnqNnz6dfhBccv3Ze70cer2rV7M9f7ufb92qAAAUx4i4BgkAAOAFGeFdZK1927D6GQAAIHXW2n/a4ePnJE0ZYz4h1z8ciG9qSjp+3GWj9lIgrlSS7r7bfZ1FmfeiOHw46xF039mzruT1oUPSgQOuhPelSy5wu2GDe19FZTLPz7te6gsLrjf92Ji/jOd9+/wcJ0+ChSpZCF6rO++UvvIV6R/8A+nP/7z147pVAQDAbbgGCQAA4BAI7763RZlNAACAnmCtPZj1GNCjJiakV191JaP37nUBwto+bnnswb1z50oQsghl3tFdi4vuPfSVr0g/+IMusP2hD4UD29a6bO29e6WXXgr/XgTl1icn2y+jPT/vfueKpHahSre0eq22b3f7/PEfS5WafpKl0srruH075dCB7HANEgAA9D0C4TFZa32Vkd/h6TgAAAAA8swYF8ybnAxnyF69Km3dmvUIb1dfDj0og7xzZ7Jg+NCQ9D//z9I//scE0fvN4qIrgR6oD2x/4xvNKyUE5dZnZlxFgv3728skvngxfwtNOlW7UKUbyuXWr9WxY+7rBx6Qfuu3pB/4geYVAADEwjVIAAAAfwiEd5m19huSZIwZy3osAAAAALpkePj2wND8vL+s8MFB6Yd+SPrmN9s/xvi4y9ysl7TMe20Z5I9+VPrEJ6TXXmt/XOhttYHtD3xAev31+L3Tz551FQkOHXLvwyQWFpKPNe/qF6qkZX5eeuEF6Vd+Rbp+Pd5jvvlN1yf+0CHp4YfTHR+A2LgGCQDx2YoNb2z0t1ptJZzg8Tbi8ZIUdVwbfnzDMTTYN/oADcYA9DlfKwwBAAAAAHEND7sMTx8+/nHp937PZWK3Y2jIBa8blS8OyrwfOSLt2uUC77VKJZcFfOSIdPr0SgbvxIT00EPtjQnF893vxg+CB4Jy6+VyssetX59s/17woz+a3rGtXfn9Hh2VPvOZ+EHwQLuvFQAAAACkiIxwAAAAAMjC9LTLlPVxnE7KmB861Lr8dLMy743KIM/Pu77CQCcWF1228enT8XtNF7Es91/8hXTnnf6P26oEehLtvFYAAAAAkCIywgEAAAAgC5OTrg9yJ2pLmgdlzOMec3zc7Z+07PTwsOsJ/PDD7r5R0LGIfZqRjTNnVvpRxzE/n95YsnL1qv9jzs668vM+guCBpK8VAAAAAKSIjHAAQGFs3Jiv4wAA0JQx0v79LhCVJIs7EFXSPChjfuyYtHevy/auDUaXSi5rfHraBdDTzNosYp9mZGffPrd4JI4ivvc2bPB7vHI5eQWJuJK8VgAAAACQIgLhAIDCOHky6xEAAJBQGiXN2yljnoYi9mkugoEBqVLJehTJvfiiez/Hef8W7b1XKrnfXV+sdeXQ0wiCS8leKwAAgLxqUN3KRm2rRG2VZBPMu22DYwDoCKXRAQAAACBLaZY0j1vGPA1jY9LgYPfOh8b+2l+T/vRPpXPnpDff7LwkfxaWl92ijjjGxlzAvyh27vT7u3v0qN9y6PWSvFYAAAAAkKIC/WUIAAAAAD0qKGl+5Ii0a1c4gFwqSbt3u++fPh2dCZ43w8MugIdsDQ1J//pfS1u3usUQd97pSvIPDWU9suTi9skeHpZ+/MfTHUs3TU/7Pd6+fX6PFyWNnuYAAAAAkBCl0QEAAAAgD/JS0tyn6WlpZqZ751u7Vrp+vXvny7tGJfTbLcmftVZ9sq112c5790p//MddGZIk6dFHpcuX08myHh+Xtm/3d7z5effap813T3MAAAAAaAMZ4QAAAACQN1mWNPdpcrLzMtxr1sTbb3zcBT97sex3GlqV0A9K8vfKe6tVn+xyWdq8WdqxQzp4sLt90P+n/6l5RYd2DQ1Jzz/vFsn4cvFiw36X3gSv1fy8K8d/4oS7n59P97wAAAAAUIdAOAAAAAAgHcZ0VoZ7aEj6kz+JXzL+oYfyUfY7q97oSUvo339/72SEN+uTPTsrbduWbt/rRoKM7aCiw4EDrg/7uXPSK6+4+0OHkr8nG2Xzd2phwe/xonzkI9Iv/ZI0OuoWpmzd6u5HR1fen9amPw4AAAAAfY/S6AAAAACA9LRbhjsIBD70kPt33JLxnZxvYkL6oz+K/5hGJiell1/u/DhxrFsnffGL0oc/nLyE/gsvpJ8d7EujPtnlcnYl3htlbA8P3/46PPCAy77fsydesH583B3XdxBcktav93/MeseORW9fXnatEmZmXGB8//50fkYAAICkbLiakE0yTWaRH5BbZIQDAAAAANIVlOGOW7a8UVnvuCXj2z3fP/yH8fZv5Rd+wc9xWhkakr72NRdgTVpCv1yWfuVX0hubT436ZFvrfvasguBJMrYnJpqXT0+azd+usbHsKhbUOnvWZfHPzmY9EgAAAAAFRiAcAAAAAJC+bgcC2zmfj57m4+MuQzntYGOrHuDNBAHk69f9j8u3Zn2yjx7Nphz6Pfe099w3K5/+xhsuQ39y0m9P8HrDw+79mQeLi24s5XLWIwEAAABQUJRGBwAAAAB0RxAIjFvmvNvnC3qab9vWXpZxELS9804X4JuZ8fFTrCiV3HGnp1f6UrcjqwByUq2yrvft6+54Aq+/3vkx6sund9P0tP/3ZrsWF6XHHnOLUdJcAAAAAACgLxEIBwAAAAB0X7cDgXHP12lP8yBo6zPYeO+90r/9t66stY/nLKsA8tq10vveJ333u633bdUne37ePd9ZuHatt4O3QeWDvCyGOHPG9RWfnMx6JAAAAAAKhtLoAAAAAADU8tHT3EeZdUlat86V0v6RH/ETBM8qgDw+Lv3Jn0jf+Y6f8vgXL0rLy+mOuZkgeNuLgsoHQ0PtH2Nw0L1WUb3b25HV4gwAAADJtQ7q5AYgtwiEAwAAAABQr9Oe5j6CjZJ0110u6HrunAtidyqNAPIHPyh94hPxniNffbIXFvz+DO3o5eBtUPkg6ftz3Trpy192r92Xvyz98R/7Gc+LL/p5fwMAAABADUqjAwAAAAAQpdOe5u2WWa/1F3/hynBLLtD8yCPSz/2cy8T9gR9IniXuO4C8bp0rAT8xkfw56qQ8/vr17T3OpyB4m1Wv704FlQ/27IlXJr2+XP25c/4WVSwvu/dOrz6XAAAAAHKJQDgAAAAAoDjm513W88KCC5b66qvdbtA2abCxmeVl6Q//0N0kaWBA+vjHXT/yOFnUkv8A8q//uuv9XRsQvnjRBcMvXoz3/Lfzmo2NuYUBWZZHTzt4m9Z7uVZQ+eDYMWnvXrdwo/Y5LZXcQo7pabf4ovY95ntRxdWrfo8HAAAAoO9RGh0AAAAA0NusXSlhPjrqenNv3eruR0dXynNn1b9vYsKVBr/nHr/HrVRcNvaOHdLmzVK53PoxQQDZl9/+bfc833WXO/Zdd8V7/jt9zYaHXYA2a76Dt1m8l9stV+97UcWGDX6PBwAAAKDvEQgHAAAAgHbMz7tA0YkT/vo3I7ly2QWBd+yQDh4MZwgvLycPFqfh2DHptdfSO/7Zs9K2bdLsbPP90gogVyouO7pSuX171PPv6zWbnvb/cyTlM3ibh/fy8LD0wAPSww+7+2YZ6D4XVZRKrpQ+AAAAAHhEIBwAAAAA4sp75nG/mZ11wd+4JcfjBovTsG9f+udYXHRB7lYB0qwCyGfPSh/5iLv5eM0mJ93vXlZ8Bm976b0c8LmoYudO+oMDAAAA8I5AOAAAAADEkYdsTawol13wbHEx2ePiBot9mp93vZe7YXFReuyx5osxsgwgX7/ubkk0es2Mkfbvl4aG/I0vCV/B2156L9fztaii2XGovgEAAACgTQTCAQAAAKCVXszWLDJrpT17kgcOA3GCxT5dvBheOJGmM2dcKfZGsg4gt6PRazYx4RYZZPGz+AgCWyv94i/2xns5KiDtY1HF+Li0ffvt26i+AQAAAMADAuEAAAAA0EwvZ2sW1dGj8RclNNIqWNxM0gzVhYX2ztOJVqXYswwgt6vRazY1JR0/3t0s96jgbTuee869hzrRyXu5lVYB6U9+UvqVX2n/fTQ0JD3/vFucEUhSfeOv/TX32gMAAABABALhAAAAANBIr2Ue9wtf/baTHKeTDNX16/2MN4kXX2wcoA8C+XfeKX3lK9KHPtTVoXWk0Ws2MSG9+urKazQ4mN4YooK37ZidlX75l/2MKY0e9HED0p/9rPTud0vr1iU7/tCQW4wxMbGyLWn1jfPn3YKEbdvIEAcAAAAQQiAcAAAAABrJOvMYYT77bTcLFtfqtD/82Fi6gdkoy8vSpUsr/24UyN+9W/rWt1aCiQM5v0zQ7DUzxpXqPnBAevNN6d/8G//njwretiOoNOGrZH7c93JcSQPS3/2ue4994APx9h8fd5ncU1Mr29qtviFJf/RHjX//AAAAAPStnP+FCwAAAAAZyiLzGM357LddHyyO4qM//PCwC/B129Wr7j5OIP/YMReY/OEfdkH9f/Wvuj/eOOK8ZpJ7zrdv97sA4Ud+JBy8bUenlSaixH1e4mg3IH39uvT970vPPhudlV8qrVROOH369sUEvp6TqN8/AAAAAH2LQDgAAAAARMki8xit+e63HQSLo/jsDz893d74OrFhQ/JA/je/6cr5f//76Y6tE81es1o+FyBs3+6qO3SaCW6t9Lu/23mliShxn5dmOg1IX7sm/e//u/TCCy4r/9w56ZVX3P0bb7jtk5PhsvI+qm8Eon7/AAAAAPQlAuEAAAAAEKXbmcdY6V194oS7j1o84Lvf9oYN0dt994efnHTlyLulVHLB7HYD+U89lc64fGj0mkXxtQDhN3+z857gQWb+3/k7XoYUkuR5acRnO4jhYemBB6SHH3b3w8ONH+O7akb97x8AAACAvkQgHAAAAACidDPzuJ816l394IPu30Ep5SCg5bPfdqkk3X139Pd894c3Rtq/3/WY7oaPfcwFgdsN5L/zjtfheFP7msVZOOFjAcL4uMsI70TSzPykmr2Xk8iiHYTP6hu1an//AAAAAPQlAuEAAAAAEKVbmcf9LE7v6pkZ9/3Nm93+Pstd79zZOEs1jYDgxIQL+HUjGP43/kZ6Qdcsbd8unToVf+GEjwUIn/tcZ9ng7ZbYT6LZezmurNpB+Ky+Uc93pjkAAACAnkIgHAAAAACidCvzuF8lzZA9e9btPzvrr9x1o+P4DghevLiSufz+90v/+B93HrRsZnxc+r//7/SOn6VvfjPZwgnJLUB45pn2z/nkk+33m+60xH5cPn4nsmoH4bv6Rq0kAXkAAAAAhUMgHAAAAACidCvzuB+1myG7uLjyXKZZ7tp3QPADH1jJXB4fl37919MLzg0NSXv3plNqOg/+4i/i7Ve7cMLazjKDO+k37aPEfis+SrdL2bWD8F19o1aSgDwAAACAwiEQDgAAAACNpJ153I/eflv65Cfbz5BdXJT++/9eev759stdDw25xzcqd+07IFip+D1eI0NDLgD+7nf7LTW9bp2/Y3VTsHDiuef89ntPIu3S3Hfc0fy9nERW7SB8Vt+IEjcgDwAAAKBwCIQDAAAAQCOT/397dxsj133fh/73F7ewkiW3FNN7g4T0hS/lFFW0fNGVI13AKbWluSjQonFZkHbhBCKQwlKyQBHAL6S6QREYaGpIKdAHgGwlp0Clti8sUqQCBH7RpcyHJECsWFOUItUL1GR8YTJpgIraLLmWHHR97ov/jHc43Id5OGfOzOznAyxmZ+c8/HfPcHn2fM/v95+vtvJ4HK2srLf5fu+97iqbiyLP29ya1/nGjcHGcO1aDrf6mW+7FRbPzW2+TJUVqlWZnY24ciViYaH8IP/FF4czr3kVVldza/My9Bpql9lifyO7dkW8+ebW7+Ve1DUdRJndNzbSbSAPAABMHEE4AADAZlKKeO216iqPx0VnkN1q8/344/n5iRP59Y1aRzcaeb7m1rzOZVVH/+Zv5tD3ypXub1ZoD4u3UnWFaq9++qfzmB/q+BN+amr9Z3/16nogWnaQf/Robz/nUVNWG/pe55sus8X+Rk6f3v693Is6p4OoqmtGL4E8AAAwcQThAAAAW5mbq67yeBx0Btmdwd7aWsTZs/n1Q4fy8i1LS3me5irmSL5wYb0a9t13cxj82c8+GGBvFhZvpeoK1V79yZ9E/JN/EvHBB7kK/1vfyo/vvx/x+uu5c0H7zRZVVPa2/5yPH39w+w89lPe7WVj/8su5jfc463W+6bIr89vNzkZ88Yvlb7eu6SDK6L6xkV4DeQAAYKJM1T0AAACAkdeqPH7mme5C3dnZXAk+7iH40lIOkrqdz/v69Rx8nz8f8RM/0du6/fjCFyJ+7/dyle6pUxG/+7v3B/UPPRTxd/5OxK/+am5P30tl/uJiDvhHxenTOfTuJtRrBflljL89SEwpB5bz8/lnfvt2blG/Z08Oy2dmNv96RMSdOxFf/vLgY6pTL/NNV9Viv8pOE61AepCbV/qZDqLVfePw4XJ/Z1RVaQ4AAIwFFeEAAADd2K4itp/K41HWaPQXZK+uRvy9vxfxuc9VG4JHRHz4YcSnP715tfoPfxjxO7+zcbX6dqqqUO1Xr225q67snZmJeOyxiCefzI+tsHuzrzcaEf/sn5Uzpjr1Mt90FS32q+40Ued0EP1239hMP4E8AAAwUQThAAAA3WpVxJ45k6tbu2lTXaeVlTy2t9/Oj90GqUWRq9/7DbK///2IGzf6W7dXP/hBd8u1qtWXlrpbftBAsGy9tuUuI8gvK0gc9P00Knqdb7rsFvvdznE/qDqng2h13xj0vVtl1TwAADA2BOEAAAD92KzytW5FsV61vm9fDpSeeio/7tu3XrVeFJtv49Klaub1rlurWv3s2a1vDmjdQPC//3fEv/pXozO3dS9tueus7O00Ke+nfuabLqsy/1/+y+F2mug1kG6F9E891d/NN+3au2/8jb/R+/pVV80DAABjQxAOAAAwKRqN3AJ8s1bha2s5BN6uVfjp09WPtS7f/36+GaDz5oBvfjN/dN5A8MUv5qrzUbjRoZe23BERn/xkDvIffri39coOEn/jN8rZTt36CbXLqsz/tV8bfnVzt9NBfPObEf/6X0f883/e/803nVrdN65cibh8Ob+XuzGsqnkAAGAspKKXP0QoTUrpQER8LyLie9/7Xhw4cKDmEQEAO8mtW7fi4x//eOvpx4uiuFXneNie80e2tbTU+5zercCzPTRaWcnhVWeITr2mpnL7/e0C+aLIFdinTkW8+Wbvx3F2NleClxWCX7kyGvM0z8z0V53cMjubK7L7CaMbjdyWv5/W8NPT+Wc4CtXNKyu5Pf/du/mmjP37I77zndz2vpuK/8cfz10K+vleiiIH4qdO5d9Z7e/rqan8u29xMb/XtEOvjPPH8dR+Dvnz8bfj4TQiXU4AgB3ho+L78fvxjdbToZ9DTg1zZwAAAFSg0eg9BI/Iyx87dn/QduuWEHwUddOWu9HoPpRsV1WQWBQRv/zL5WxrUL/1WxFf+lL/YfQgbeJbc273e6PKKITgEfn91/4e7PXmm+vX8w0BnTffdKNVIT4/v3EgPwodGwAAgJGjNToAAMA4K4ocfvYT8EXk9U6eXG9bfO9eeWOjPNu15V5ayiFjLyH4j/1YxG//dq40f/31HDKWWU176VLEjRvlba9fs7O5xf35873PmV5WGN3vnNuj2uJ70JtvNpuWoRszMxGPPRbx5JP5UQgOAABsQhAOAAAwzi5d6r0CuNO1a7ntcETE7t0DD4mSzc5u3V6831Dyww/z3NPf+c5g49vMKMw1317NXXcY3e2c2xcv5jbso1IJ3qnsm28AAAAqIggHAAAYZ2WFja3tHDjwYEBHfbZry11GKHn8eMQPf9j/GDeyspIrqeu0UTV33WF0q8X3mTMRd+5EvPdexLe+lR+rqswvW9k33wAAAFTEHOEAAADjqsyw8dy5vL2ZmVxdfPZsOdulf9205S4jlPzjP4549NGIN94oL/itYq75o0cj/vRPu/t+Z2fzDQQbfT+jMt9055zb46LMm2/m58vZFgAAwAZUhAMAAIyrMsPGtbUcCEZsPx811eu2LXdZoeR3v5vnGF9aKmd7Vcw1/+u/Xn41t/mme1PFzTcAAAAVUREOAAAwrsoOG+/ezY/z83ke5UErjenN1FSuxl9czHOCb9ceu+z246uref9XrgxeGV72XPM/8zPrP5NRqObeqaq4+cYxAwAAKiIIBwAAGFdlh4179uTHlCK+/OWIX/qlcrfP/f7tv81V2Pfu9RfkVtF+fHU14uTJXFE9yDzVrbnmyxrfb//2g+MZ19bi46yqm28AAAAqoDU6AADAuGqFjWWYmspBbEREUUR89avlbLcXH/tYucuNsqmpiC98IeJnf7b/ttxVtB+PiLh2LeLy5cG2MTNT3vzPhw/nD+pX1c03AAAAFRCEAwAAjKuZmdzKugzHjq0HsZcuDa8tevu8zt//fnfzP//BH0RMTw9nfFV5+ulc0d3rHMkrKxHvvRfx9tsR//N/VjO2iMHnHl9aysepDF/5SjnbYXBV3XwDAABQAa3RAQAAxtniYsTZs+Vsp2XQELRb/+E/3B/AR3Q///P583nd1dXhjLVsb72V52HftWt9XvD5+Y3bkRdFvjnh1KmIN98svx36Rs6dy8egn9bjjUb+nj76aPBxzM7mmwYYDa2bb8r4ndP5bx8AAKBkKsIBAADG2fx8DlQH0R42rqzkkLlqs7MRzzyzeRA2M5PbhW/WNnxhIeLKlcG/97qtreVQ8ciRiEOHcojcrtHIXz9yJOKNN4YTgrfGdft27+sVRT6uZdygMD0d8eqrg81VTvnab5oZhe0AAABsQhAOAAAwzlKKeO21/luFd4aNt25VH7aWFXDOzeXtfOITpQyrdtev57mwl5by86Wl/HxYbeo73b3b+zpltdV/+OF8Q8bc3ODbolxl33wDAABQEUE4AADAuJuby6Fhr2H49PSDYeO9e+WOrZt99mtpKYdp3/3u4Nvqx1/6S+Vvc3U1t4z+z/+5/tbve/b0vk5ZbfV//udz1T+jp+ybbwAAACoiCAcAAJgEvbYKn53Ny3eGjbt3lz+27fbZj9Y81HUGxVNTEQcPlr/d1dWIf/gP6//e9u/vbZ0y2+pfvJi3x/CsrES8917E22/nx61+/mXefAMAAFARQTgAAMCkmJuLePfdHCIePx6xa9f9r09NRZw4kV+/enXjMOrAgQfXG8SuXdvvs1dlzkM9iA8/jPjxH4/45jc3/nkP4gc/KG9b/Th2bPP52zdTZlv9fuco70Uvwe+kKor13xf79uUbaZ56Kj/u27f+b7coHly3rJtvAAAAKjJV9wAAAADG2spKDgDv3cvV1AcO9B4glimlPIfv/Hwe2+3bea7nPXtyhe92Y5uZySHo2bODj+Vv/a2I118v/+dR1jzUZbh2LeL734/4ylciFhfz++Bf/Isc+I2zxcXe1ym7rX4/c5Rvpyjy++fUqYg337w/uN+1K7/3Fxfzv59Jb93daOQbSjb7t7S2ln8PnD2bw+7XXnvwRpbWzTeXL+ef6fnz9/9Mp6bWf6ZPPz35P1MAAGCkCMIBAAB6NS5h2sxMfyH04mI5Qfg//sfV3BRQ1jzUP/mTEX/2Z4Nv5+/+3Y0rZsfV7GwOLXtVdlv9fuYo30oZwe+kWFrqbWqB69cjDh/OQXdnRfegN98AAABURGt0AACAXjQaEYcORRw5EvHGGw+2gm6FaUeO5OUajXrGOYj5+e7bHW/m0Uf7C1O3U+Y81GWE4BGTFYJPT0e8+mp/N3CU2Va/nznKt7K0lIPcbjsJtILfpaXyxjAqGo3eQvCW1dW83la/02ZmIh57LOLJJ/OjEBwAAKiRIBwAAKBbOyVMSylXw05P97+NP/mTiAsXyhtTy+uvlzcPNfd7+OGIc+f6r4JutdUvQz9zlG+myuB33Pz5n0d8/vO9/yxaVlcjTp6crJs/AACAiSUIBwAA6MZOC9Pm5nLl9cMP97f+hx+W/303GhH/6B+Vt72d4JOf7H7Zjz6K+NKXBjtm/cwtXuV2iiK3Q9/JwW9RRFy8GHH8eMS+fRHf+c5g27t2Lc8JDgAAMOIE4QAAANvZqWHa0aODtacu8/tuHYOPPhp8WzvF1FTEb/1WbzczDNrF4OmnIz72sf7WbfnYx/IYynDpUvcdHDYzzsFv51QOP/xhOds9fbqc7QAAAFRIEA4AALCdnRqmXboUcePGYNso6/su4xjsNPPzEb/0S73fPDBIF4NvfCPiBz/ofb12P/hBxJUrg22jpazAdhyD316ncujFuXMRKyvlbxcAAKBEgnAAAIDt7NQwbZS+73H72Y2C73xnOF0M2ltv/8Iv9Le/TmUc75WV3N6/DOMW/PY7lUO31tYibt+uZtsAAAAlEYQDAABsZaeGaaP0fZc5lnExaHvxT3wi4rvfHWwb3VTzd7beLqv9fxn/Vm7dyoFtGcYp+B10Kodu3b1b7fYBAAAGJAgHAADYyk4N00bp+y5zLONgejri3//7/Njv+o8+Ws5YtqrMrrL1dhn/Vu7dK2csLeMS/A5rGoE9e6rfBwAAwAAE4QAAAFvZqWHaKH3fZY9llE1P5+r3X/zF/NhrGD49HfGf/lMOQ8uwWWV21a23Iwb/t7J7dznjaBmX4HcY0whMTUXs31/9fgAAAAYgCAcAANjKTg3TRun7Lnsso+pnfibiG9+IWFjIzxcWIq5ciXj88e7Wn53Ny//Vv1ptNf+wWm8P+m/lwIGIXbvKGcu4BL/Dmkbg2LGImZnq9wMAADAAQTgAAMBWygzTHnoo4qd/upxtVW2UQsQDByJSKmcso+x//I881/aJExEXL+bAeW4u4t138/Pjxx88JlNT68tfvZqXr7qafxitt8sInmdmcmBbhnEJfoc1jcDiYvX7AAAAGJAgHAAAYCtlhmk//GHEpz+d20qPulELEYuinLH0q6wgfn4+4pOf3Pz1tbWIs2dzIH7oUH6vpJTXO3Mm4s6diPfei/jWt/Lj++9HvP56fr01xqqr+YfRerus4LmswHZcgt9hTCMwOxvx9NPV7wcAAGBAgnAAAIDtlBmCXb8ecfhwxNLSg6+trORw8+238+NGczMP06iEiLdulTOOQZw6Vc52/vAPI77zne6W3ei9MjMT8dhjEU8+mR83CourrOb/8z/P84ZXraz33vx8963lNzNOwW/V0whMT0e8+urO6NAAAACMPUE4AADAdsoI09qtruaK10YjVzq32l7v25f389RT+XHfvvvbZA/bqISIw6hy3crUVMQXvjD4zyKliI8+6m2d9vdKt6qq5m80Ip54Inc2qFKZwXNKEa+9lgPcfoxb8FvmTRCdpqfz/ONzc9VsHwAAoGSCcAAAgO0MGqZtZHU14nOfy6HfkSMRb7zx4Ny+G7XJHqZRCRGrrnLdzrFjEX/5Lw/2s3joof5vZlhdjTh5srf1y67mX1rK1ek3bpSz3c1UETzPzeUAt9djN47Bb5k3QbSbnY24ciViYaH8bQMAAFREEA4AANCNfsO0rdy4kVugd2OrlupVGoUQscoq1260wuB+fxYPPzx4FfW1axGXL3e/fJnV/I1GDldXVwfb3naqDJ4XFnKQ2+3PZJyD37Jugti1a70jxdWr43VDAAAAQAjCAQAAutdrmFa2ftpkl6HuELGqKtdudLbp7udn8elPlzOW06e7X7asav6IiGeeqT4E/9mfrT54npuLePfd9akIOm+umJqajOC3jJsgPvnJiPffj3j99by9cWkNDwAA0EYQDgAA0Iu5uYg/+IPc6roO/bTJLkPdIWJZVa692KxNdy8/i9///YhLl8oZz7lzESsr3S9fRjX/pUu5G0HVzpwZTvCcUg52z5yJuHMnd2T41rfy46QEv2XcBPH1r+fpAAAAAMbYVN0DAAAAGDu3bw/e6noQrTbZ8/PD3W8rRJyfz4Hs7dsRd+9G7NkTsX9/rtyuSqvKdRihbMT2bbq7/Vm8996Dc7/3a20t76eXn3Orgv2ZZ7r72c3O5vC/9X33UoU+iHv3hrOfdjMz1b5n69S6CaLXlvbjOC86AADAJlSEAwAA9KqO0K7TsALKzczMRDz2WMSTT+bHqgPFQatce9Fra/etfhZlv1fu3u19nX6r+VdWcig6DHv2DGc/O0ndUxoAAADUTEU4AABAr3bvrnsE622yJ7WidSP9Vrn24vTpiF/5lfJaY5f9Xuk3MO6nmv/WrfKq2bcyNZXHQPlaN0Fcvhxx6lT+99N+TKem8r+nxcWIp58e75bwAAAAHQThAAAAvTpwIFfVDiMk3Ew/bbInQa+tvntV9vzQZb5XygqMu20JPqzOB8eO7bz38TBtdRPEnj35a/fuRfz3/57fr44FAAAwIbRGBwAA6NXMTA7v6tZPm+xJ0N7q+7OfLW+7VVQml/leGXZgPKzOB4uLw9kP+f3z1/5a7qjwT/9pxCc+kVunP/VUfty3b71NflHUPVoAAICBCMIBAAD6MQrh3U6eV7lV5frmm+WF4VUFzWW9V4b9nmtVs1dpdja35GY4Go2IQ4cijhyJeOONBzsVrK1FnD2bXz90KC8PAAAwpgThAAAA/ZifzxWUdTGv8rpf+7VytlNV0FzGe6WOwLjqzgfT0xGvvmpe6mFZWoo4fLj7KQWuX8/LLy1VOy4AAICKCMIBAAD6kVLEa6/lMK8O5lVeN+pB86DvlToD46puDpiejjh/Pre5p3qNRv6dsbra23qrq3k9leEAAMAYEoQDAAD0a24uh3l1hOGj0Jp9VIxD0Nzve6XuwLiKzgezsxFXrkQsLJS7XTZWFBHPPNN7CN6yuhpx8qQ5wwEAgLEjCAcAABjEwkIO9boNC2dnIw4eHGyf5lV+UL9B88MPR5w7N5yguZ/3St2BcVmdD6amIk6ciLh4MeLqVZXgw3TpUvft0Ddz7VrE5culDAcAAGBYBOEAAACDmpuLePfdHPIdPx6xa9f9r3eGgGfOjHb18rjqNWiOiPjoo4gvfWl4rZ97fa+MQmDc700GP/ZjEf/m30S8917E++9HvP56rjD33h2u06dHazsAAABDkgqtrWqRUjoQEd+LiPje974XBw4cqHlEAMBOcuvWrfj4xz/eevrxoihu1Tketuf8ccysrETcvh1x927Enj0R+/c/OJ/30lLvc/a22mRrKb218+cj/sE/iPiLv+h+nbp+tt28V0ZFo5FbbHdTXTw7m2/YGIUgfydbWYnYty9ibW3wbe3aFXHnzui+P6mc88fx1H4O+fPxt+Ph9OM1jwgA2Ek+Kr4fvx/faD0d+jmkinAAAICyzcxEPPZYxJNP5seNgqNxbJM9yooiV1EfPRrx9/9+byF4RL4h4dix4VWGt3TzXhkV41jNvtPdulVOCB6Rt3P7djnbAgAAGIKpugcAAACwY7WCxcuXI06dyhXJ7aHV1FQOZxcX85zgWkpvrJdK5a2srkacPJlD3J34s15ZycHpvXsRu3dHHDjwYDCfUm5vPj8/XtXsO9W9e+Vu7+7dcrcHAABQIUE4AABAnQSLg+mnxfxWrl3LNybMz5ezvVFXFBGXLuUbMd588/4bMXbtWr8RY6O5vWdmvD87dXMzwTDt3l3u9vbsKXd7AAAAFdIaHQAAYFSMU5vsUdBolBuCt5w+Xe72RlWjEXHoUMSRIxFvvPFgC+21tYizZ/Prhw4Nv238uGi15T9+PM/H/fjjEU89lR/37VtvF18Uwx/bgQMPtrDv19RUvjkHAABgTAjCAQAAGD9Fkduhlx2CR0ScO5creyfZ0lLE4cPdt5O/fj0vv7RU7bjGzajfTDAzk28WKcOxY27OAQAAxoogHAAAgPFz6dLgc4JvZm0tt6ifVP1W0q+u5vVUhmfjcjPB4uJobQcAAGBIBOEAAACMn6rbl9+9W+326zJoJf3qasTJkw+2+V5ZiXjvvYi3386Pk15RP043E8zP5zbtg5idjXj66VKGAwAAMCyCcAAAAMbLykrE+fPV7mPPnmq3X5cyKumvXYu4fLn3ubEnJSyv6maCqqQU8dprEdPT/a0/PR3x6qt5OwAAAGNEEA4AAMB4uXXrwbmYyzQ1FbF/f3Xbr1NZlfS/+Zvdz4198GDE0aPdheXjoMybCYZlbi7fPNJrGD49ndebm6tmXAAAABUShAMAADBe7t2rdvvHjkXMzFS7jzqUWUl/4UL3YfB3vxvx1ltbh+WHDo3P3ONl3UxQdXv/TgsLEVeudN8mfXY2L7+wUO24AAAAKiIIBwAAYLzs3l3t9v/m3xzv1t2bqbqSfhDXr0ccPhyxtDT4tjpbsN+6VV5L9jJvJjh3bvjvsbm5iHffXW9pv2vX/a9PTa1X6V+9qhIcAAAYa1N1DwAAAAB6cuBADvCqCnUXF/Pjrl25OnxxMWJ+fvznSK66kn5Qq6sRn/1sxL/7dxGf+lQ+zt1W5hdFbll+6lTEm29u/d4Y5LiWeTPB2lrE7dvD7z6QUv6+5+dzEH/7dsTduxF79uQpASaxGwIAALAjqQgHAABgvMzM5CCzauPaunszVVfSl+HDDyNOnuxtDvFGY+v5yjsNclzLvpng7t1yt9ermZmIxx6LePLJ/CgEBwAAJoggHAAAgPHTqtoeljJbd9elVUk/LroJrJeW8nHpdr7yTr0e17JvJtizp9ztAQAA8COCcAAAAMbP/HyuGh6m1dVciT6uleHDqqSvwkaBdaORv5/V1cG23ctxLfNmgqmp3IocAACASgjCAQAAGD8pRbz2WsT09HD3u7qaW3dv1ap7lA27kr5M7YF1UUQ888zgIXj7trs5rmXeTHDsmFbkAAAAFRKEAwAAMJ7m5iLOnx9+GH7tWsTly8PdZ1nqqKQvUyuwvnix/3bom+n2uJZ1M8E435QAAAAwBgThAAAAjK+FhYgrV7oPd8uqwD19uv91V1Yi3nsv4u238+PKSjlj6kZdlfRlunYt4itfqWbb3RzXMm4mmJ2NePrpwbYBAADAlgThAAAAjLe5uYh3381VwsePPziH89RUxIkTEb/7uxH37pWzz3Pneguwi2J9fPv25SD1qafy4759eXwXLw6n5XpdlfRl+r3fq2a73RzXQW8mmJ6OePXVvB0AAAAqM1X3AAAAAGBgKeVK3fn5iFu3Iv7rf434X/8r4q/8lYi//tcjDhzI1dc//GE5+1tbi7h9u7sK80Yjz2e9WSvvtbWIs2fzx+OP55B1bu7B5VZW8vd2717E7t35e+q3wr1VSb/VuNrNzkb85E9GvPVWf/srW1U3DHR7XFs3Exw71ts85dPTeb2Nji8AAAClUhEOAADA+GuvuP7EJyJ+4RcifvmX8+MnPpErri9dKnefd+9uv8zSUsThw93PZ339el5+aSk/r7KSvNtK+osXI65ejfj1X+99H+Oom+Ma0Xtb/tnZvPzCQv9jAwAAoGsqwgEAABhvvVRcl2nPnu3H1WvFcERe/tixiJdfjvjqVwevJN9KeyX9ykquhr57N39v+/ffXxndmhu721B/XG13XNu1bia4fDni1Klc7b22tv761FQ+louLeU5w7dABAACGRhAOAADA+Fpa6i9sHtTUVA6KN1MUOZzvd1yrq3n9blu5tyrJz5/vv+J4ZmbrluCtubEPHx7+z3tYtjuuG+nlZgIAAACGRmt0AAAAxlO/FddlOHZs64Dz0qXBK6d7nc+8VUneaAy236205saenq5uH92oqrJ6u+O6nZmZiMcei3jyyfwoBAcAAKiNIBwAAIDxM2jF9aAWF7d+/fTp4Yyj0+pqxMmT/c0Z3q1e58auwuHD1Wx3u+MKAADA2BCEAwAAMH7KqLju1+xsnu95MysruWq6Lteu5Tmrq9SaG/vixYjjxyN27br/9ampiKNHIz7xiWr2/xu/UX4Qv91xBQAAYKwIwgEAABg/dVVcT09HvPrq1q25b92KWFsb3pg2MoyfT2tu7DNnIu7ciXjvvYhvfSs/vv9+nr/95s3Nw/J+zc7m/b72Wnkt2rs5rgAAAIyVqboHAAAAAD2pq+J6ejrvd25u6+Xu3RvOeLZy7lz+OQ1rjuqZmY331QrL5+fzeG7fjvijP4r4lV+J+PDD3vfTHli35isfdJ74bo/rqFhZyTdb3LsXsXt3xIED5iIHAADYgIpwAAAAxksdFdezs3le7IWF7Zfdvbv68WxnbS2HzqNkZibiscfy3O6/8zu9V3NvFFgPOl95L8e1TkWxXlm/b1/+fp96Kj/u2xdx4kR+vcq54QEAAMaMIBwAAIDxUnbF9enTm89z3QoYr17tvmL4wIHy2oAP4u7dukewuV4D7K0C6+3mK+/U73GtS6MRcehQxJEjEW+88eBNIGtrEWfP5tcPHcrLAwAAoDU6AAAAY6bsiuv5+Yhf/dX11t1370bs2ROxf39/LadnZnK77rNnyx1nr/bsqXf/22kF2JcvR5w6lau920Peqan8c1xcjHj66a3n796oBXvrOO7Zkz8f9LjWYWmpt9bv169HHD6cf5ajXuUOAABQMUE4AAAA46VVcV1Ge/SpqRyMRmw+z3U/FhfrDcLbv69RtlWAPciNCOMSdG+l0ehv/vPV1bzelSujX+0OAABQIa3RAQAAGC+tiusyHDtWTWg6P9//vNVlqOr7qlJrDvEnn8yP4zb+MhVFnku91xC8ZXU14uRJc4YDAAA7miAcAACA8bO4OFrb6ZRSxGuvRUxPV7P97VT1fVGelZWI996LePvt/Liysv7apUu5zfkgrl3LbecBAAB2KEE4AAAA46eMiuvZ2Tz3dFXm5vJczb2G4VvNhd2Nqr8v+lcUERcvRhw/HrFvX34PP/VUfty3L+LEifz6qVPl7O/06XK2AwAAMIYE4QAAAIyfQSuup6cjXn118NB5OwsLea7mbkP72dmI//gfR//7GratqqfHRaMRcehQxJEjEW+88eAc92treV751utlOHduPH9WAAAAJRCEAwAAMJ76rbiens7rzc1VM65Oc3MR7767Xgm8a9f9r09NrVcCX70a8Yu/OB7fV9W6rZ4eh3mwl5YiDh8evN15r9bWIm7fHu4+AQAARoQgHAAAgPHVT8X1lSt5vWFKKbdzP3Mm4s6dXNX8rW/lx/ffj3j99fx6q5J7XL6vqvRSPX3oUF5+VDUaEceORayu1rP/u3fr2S8AAEDNBOEAAACMt14rruuumJ6ZiXjssYgnn8yPMzMbLzdu31dZeq2evn49L7+0VO24+lEUEc88U18IHhGxZ099+wYAAKjRVN0DAAAAgIG1Kq7n5/OcyLdv50rYPXsi9u/fPGwedZP6fW2m3+rp1dW83pUro3VDwKVLw2+H3m5qKr9PAAAAdiBBOAAAAJNlZmbyAuKIyf2+Wgatnl5djTh5MlfHt1rM1+306Xr3f+zYZL9nAAAAtqA1OgAAAFC/Mqqnr12LuHy5lOEMbGUl4vz5esewuFjv/gEAAGokCAcAAADqV1b1dN1V2C23bkWsrdW3/9nZiKefrm//AAAANdMaHQAAAKhXmdXT587l7VXVEnxlJYfc9+5F7N4dceDAxvu6d6+a/Xdjejri1VdHp0U8AABADVSEAwAAAPUqs3p6bS3i9u1yttVSFBEXL0YcPx6xb1/E449HPPVUfty3L+LEifx6Uayvs3t3uWPo1vR0vqlgbq6e/QMAAIwIQTgAAABQr7Krp+/eLW9bjUbEoUMRR45EvPHGg4H92lrE2bP59UOH8vIRuVJ8167yxtGN2dmIK1ciFhaGu18AAIARJAgHAAAA6lV29fSePeVsZ2kp4vDhiOvXu1v++vW8/NJSbpd+7Fg542hVnB8//mC4PjW1/vrVqyrBAQAAmswRDgAAANSr7Pm8ywjCG40cZK+u9rbe6mpe78qViMXFXC0+qMXFiPn5/LGyklu/372bv8/9+6ubDx0AAGCMCcIBAACAeq2slLu9QVujF0XEM8/0HoK3rK5GnDwZ8d/+W55HvNuK8o3MzkY8/fT685kZwTcAAEAXtEYHAACAcbayEvHeexFvv50fyw6Vh2HU5gi/dGmw8Do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     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 2400x1600 with 3 Axes>",
      "image/png": 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     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 2400x1600 with 3 Axes>",
      "image/png": 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     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 2400x1600 with 3 Axes>",
      "image/png": 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Pm2V7tyMIPtuG5wBQAATCAXSbnXV/T5JZEntBWr3IGpTqabSL8aKk4YjsokYyCzhXs8BntDznPdXSSFG7T+uPDWc1rxXk9bwAAKBztWUt2IXatvGxuibdLXfx8YGM+34nMZz3BAAAQFerXacmacFTv76NzCTvtGuV1tpnJD3T4Mf1STtZGG7DcwAoAALhALrNx+v+3urCcqXHHZZbMD0TI1uoWWnxlR6bWrUk0htyr+9pa+29K5SeDM3JGJNnefS2ZigBAICO1q61YDeYbeeTVTdmnpF7ny/KZYLHLQnaTqw9AQCAVylb8NRek2tWtahjrlUGqj3Ao55vX/V6Zjuw9gO6HIFwAN2mfiF3Os6DIgK9DRek1TJDwYXSZn11gjHj7p4cjnleLMaYTdWLjYe0fLExzo7KqAuSXucW09tzeE4AANDZMl8LdqnhLAevZiidkTQuj0Hw6nr3kDHGVlsApcHaEwAAZKWl/uDVa5C1nm9yXuGvVdYzxjzZ5DkOJchcbwVrP6BHEAgH0G2Ga/58MUFvxyQL0mBBOb3CecNNfiZJqnu8t3JD1QuBr8ldbHzGWpuk7ORrEcfyyAgfrt7P5vDcAACgMw3X/DmrtWBXyGodWq+6yeBbcuvJcnVdOuth3H1y69YgWyjt5oXh6v1synEAAADq1bbgibVRs2pP3d8bVS0q/LXKetVrl8G8G63jvlLdUJmFYNzZjMYHUBAEwgF0m9qAbZILmLF6QlZ3WAa7ET/d5LzaecQtsTMc87ymjDFP6e5e4E8kHCJqvnkEwoPFdtdfiAYAAN5kuhZspFr2+5AxZsYYc6Z6n2drmaSGsxi0unY+Ux3/RWvtQ57G3S1X9SjwoofgOmtPAACQFR/9wWejWh12wrXKetU5B9cuX7TWTkqKun45LOkrWcxBrP2AnkEgHEC3ma35c5KFTNwFaVBafHaFDOu7FqorPHcwz9S7LI0xM5KerD7nQyv0Al9pPrUeSDOvFg1X71mQAgCAuGZr/pzFWjCkGpT9lqTXrLWT1WBvWdKZDDNYfPG2Dq1XfV9mtNyrcrL5IxKpL/kZp/3PSoar96w9AQCAN632B68+rjZ43SjIXehrlfWqAfkgCH4xWCNaa5+R9EzEQ8aNMYcjjqc1HMwhg7EBFAiBcADdpnbxMhvnAdUF2HDNocgSRdULmcGicaVFa222y0oLquDnqYLN1SB4ML/9CUqhN5pPrfqeRO0QLPajSrUDAABEyWwt2OCx++Qu5H3aWvt0zY8+XR2zWY/GIvCyDq1X7fcYXLB8uoUKRc3Grr8o/EyKdW8t1p4AACALd11TS7BuqV0/zdatNSUV/1plvep8g42Ss3VzUnXNGPX+7K6uL31i7Qf0CALhALpN7YXL4ZiPuesCZZMF6cdq/vyFFcYMFqFxekwGz1e/QzQ2Y8wh3b2wbrlHYoOykg1LexpjNlUzfnwLnpOdmQAAIK4s14J3qZZ0PCTX9/quC5PV9dSs7l4/FlHqdWi96ro0eE/3W2t9ZGvX+lTNny96DLKz9gQAAFmorYoTd505LGlfzaFPNDi1sNcqG/iKltdcjza4Bvmooje0PlVdf/vC2g/oEQTCAXSb2lI5K5bvqe4mrA3iNgsg76l9HmOMbXTT8mIqTkA6KL/ZUh/JiMVxy2PVCC0C63deVgPgZ+R2TnrL8gnGDv5srW05qA8AAHpOlmvB2scN1zzXow1OuyhpOKIcZpGkWofWq1YoCtalFyW9v6Zv+uFqH/WnjDFPGmP2GWN2JumlXr34Gfy+ZlWXRZRi3qw9AQBAVra28JjajX/TTVofFvJaZZRqefNgXTzZaPNpNTjeaH19OMnasclcWPsBPaSU9wQAwCdr7YvGmItyC7WmuwSrpSzry1U26wkZLFwvqvlFt9px4/SYDDKXWl3IRS2o9xtjTjfYWRnHtFyv8VpPGWMuWmunqxd/z2g508p3pk+wMPZR5hIAAPSIjNeCtQ5ruff17ArnblJx1zRp16GSvrcx4Cu6O2toU924DTcEGGMkF9i+JrfWvlj9+2vVY8HPv9dPUu4C6myaeUfMrai/JwAA0IGqGyKHaw6NG2OGm61hqkHa4Jpc2Vq7p9G5Ku61yrtUKwYFmxn3rxR8ttaWjTFPyFVfqjUsN/+0JdtZ+wE9hEA4gG60R9UgrTFmn7X2mfoTjDFPyS0C6xdVkQuxut6RL66wYH1/zV+fX2my1trZ4IKtMWbcU4/DnZLeMMbc2+IFwi8oHAiX3M7L+mMPeZpzreA9ZFcmAABIyvtasO6xO7UcZG/WAzy4cLhiZnpefKxDq+vkGaW/UDpcva00zrSkT3gMgkusPQEAQDbqN2ZelFuDhvp9S3f10A7ObZQZXdhrldX2iSPVub1d7j2o3RD5fmPM7iZZ7sFruygXqK7fTLmpWoWodh1+MUa591qs/YAeQml0AF2nujgL+u8cqpZe3FS97TPGvCa3CAvtlGyysKu9ILfSzslgh+N0ggt0wcKrlV43pxsc39/qBcLq+7DSYvAZSfdmEASXlt+HuFlZAAAAkjJbC9YKLrpNr3DBbTjJvHPU8jq0muV0Rm6tfFFuffh09X66OnZZfnovluWywPd4DoJLrD0BAEA2avuDX5TbhPmpqPLe1WNBD+0X5RJPZpuMXdRrlYflNpo+JZdkUx/I3q2VS5zvl3tNjSoK7az+PLglrVTJ2g/oIWSEA+hK1bKY98r11HlCbvEV7CR8IijBY4ypXZA2C/zWLs4anlfNEArUl+9p5rDcjtCPq8Gu0EaquzT3yL3Gker8Pp02QG2tnazJlhqWK0d5sTr+oYQ7LWOr7n4dr86BnZkAACCxDNaCqp5fm9Hy6Sbn1a4drzU6ryBaXodK+pzcpsz9cdae1XXeiJbLpj9Q8+fgZ8PV02flfmen5daemZSuZO0JAAAyVNvOcLq6Rv20pDPGmP1y689hucBssNlyv7U2zpqssNcqa8zW/X24xXG8jcXaD+g9BMIBdK3qDsf9ar4rsHYx2Ozi2nDduI08EYyVZDFVXQjPqknvxBUePy2XdeOVtXal9y8Lwe8kVMYUAAAgLs9rwUAw1uwKgdnacWdjjJubNOtQa22zXpRR589qOcBdFKw9AQCAdxH9wWckyVr7tDGmLLeuDILfp6t/fyZBxvb3xi7StUprbainYlLW2ie0PG/fWPsBPYbS6AB6Vl0vHSleOZyGF+2qOwqDUkOtBI+fqY6ze6UTu9zHq/dJdqkCAAAkknQtWF3rBRfOVrqIWBsgLlLQt5FeXoey9gQAAFm4q6R4bRDaWvuitXbSWntv9TZprX26xfYvXKtMhrUf0GN6LhBe7Q932BjzmjHGVu9njDGHVuhLAaD7NFyQRpitu49S2y+yldI6wQIsqx2PnWK3pItZlb8E0FnyXLtVn3smzv/0G2PGq/Pkf6aBzpFkLShJH6v58xdijj2bVTsZz3p5HcraE0AmuAYJ9LzaFjxZrDNm6+6jcK0yjLUf0GN6JhBujNlnjHlD7j9AX6je3ytpj9yuqX2SXqsuUFmMAr1hT82fV1r8nK7eR/Z4rO6w3Ce3+PxEK5OpXiQtS9rZq/8OGWP2Vf9IIAnocQVZu71dLph12BjzRvW5njTG7K7enqxeyHxD0hnd3dcNQPElWQvWn3+4GtSIvGm5Z2NH9B3s1XUoa08AWSjIOhZA/mr7g2exJuRaZUKs/YDeZKy1ec8hc9XMnK2S9jTajV/t2XGm+tdZSQ91yM59AC2qXqQM7Kn22V7p/IvW2gcifjYjFwCZbHGHZTBO8G/R09X+3D3FGPOaJEW9xwB6R1HWbsaYpyQ9GfP0TOYAIDstrAXfkCulflF3lz6vt0/Lm2KesNZ2RP/BXlyHsvYE4FtR1rEA8lUNGr9WcyjV9cImz8O1ygRY+wG9qeszwqulLHdaa5suKqulMIILFMOK1ysYQEFUM/JeM8Ycjnn+vpq/zq504bNqWsvZPbVjPSm3sNyTdlFb/bdoWtKT1Z2bPaP67/UmtdazCECX6NC129PVvm5cwARykvVasK6f+IvW2tlGN0nvr3no8wleRq56bR3K2hOAbx26jgWQjaQteFrFtcqYWPsBvavrA+GSPiVpU7Wc5Ur9HWsvmmwyxuxseCaAwqhe8Nwnt5jZvdJ3t7poqy1dG7c80H5Js9XFZDDWk3L/zqyYRZRAsCDrtfK6T0kqe3wfAXSmoq3dypKert7PVo/N1hy/t9N3xQOdrk1rwdoLjCsFLIJ/u6argfFO0kvrUNaeAHwr2joWQH5qW+pk2SqHa5XxsfYDelQvBMLHq/fDkj63wrn1uzUnvc8GQBbq/wez4c7r6oXPM1rO6NkfdwFU3dH9kKRJY8yZaomhByS9x+ciqvo8T0va1w39d+KoZmVtUos9iwB0laKt3S5aa/dXM3vutdaa6v1D1eOzGTwngGTasRasXZM1vJhZF8jouN6DvbIOZe0JICNFW8cCyEF1vVm7Jsys6gPXKuNh7Qf0tlLeE2iDWS1f5EjqdX/TAJChWS1/z6eb9OHaJLf4DBZsiXs2VsfO/H9QrbX7qz14Dqt5D8qOV/29HJL7fZTzng+A3M2KtRuAZGaV/VowGF8rbIB5onpfzrAEZqa6fR3K2hNAhmbFOhboSdW108fl/g34WN2PP2WMeb+ka5Jes9Y+7fO5uVbZHGs/AL2QEb5HbpflrFbe8VO/m4l/GIHOEJTnuSjpC8aYTcaY4eptkzFmZ7Vk5mty3/NpSQ8kDYLnYI9cibQnVzyzsx2Wu2hd9N8HgPZg7QYgqXauBVfKNg+y0zu9ZUI3r0NZewLICutYoHd9XNKTWg6Cz9bchuXWiPskPdWJGdU1OnGNyNoP6HFdnxFe3YX/QMzTx+v+ftrzdABkwFr7jDHmtNyi81Na/h/KYbkF5zW5/xl9QtLznVLG1lo7a4x5VNIZY8zFbuxhY4w5JEnW2j0rnQugN7B2A5BUm9aCs3X3UYKeidOdmg0e6NZ1KGt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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "batch_size = 256\n",
    "num_steps = 10000      # number of training steps\n",
    "out_file=None          # base filename saving trained model\n",
    "plot_interval = 1000    # interval for visualizing intermediate results\n",
    "\n",
    "\n",
    "optimizer = torch.optim.Adam(flow.parameters(), lr=1e-4)\n",
    "his = np.zeros((0,1))\n",
    "\n",
    "print((3*\"--\" + \" K=%d, width=%d, batch_size=%d, num_steps=%d\" + 3*\"--\") % (K, width, batch_size, num_steps, ))\n",
    "\n",
    "if out_file is not None:\n",
    "    import os\n",
    "    out_dir, fname = os.path.split(out_file)\n",
    "    if not os.path.exists(out_dir):\n",
    "        os.makedirs(out_dir)\n",
    "    print((3*\"--\" + \"out_file: %s\" + 3*\"--\") % (out_file))\n",
    "\n",
    "print((2*\"%7s    \") % (\"step\",\"J_ML\"))\n",
    "\n",
    "train_JML = 0.0\n",
    "num_step = 0\n",
    "\n",
    "for step in range(num_steps):\n",
    "\n",
    "    x = get_data(batch_size)\n",
    "    loss = -flow.log_prob(x).mean()\n",
    "    optimizer.zero_grad()\n",
    "    loss.backward()\n",
    "    optimizer.step()\n",
    "    train_JML += loss.item()\n",
    "    num_step += 1\n",
    "\n",
    "    if (step + 1) % plot_interval == 0:\n",
    "        train_JML /= num_step\n",
    "\n",
    "        print((\"%06d   \" + \"%1.4e  \") %\n",
    "              (step + 1, train_JML))\n",
    "        his = np.vstack([his, [train_JML]])\n",
    "        train_JML = 0.0\n",
    "        num_step = 0\n",
    "\n",
    "\n",
    "        zs = flow.ginv(x)[0].detach()\n",
    "        xs = flow.sample(200).detach()\n",
    "        log_px = flow.log_prob(xx).detach()\n",
    "\n",
    "        plt.Figure()\n",
    "        plt.subplot(1,3,1)\n",
    "        plot_x(xs,domain)\n",
    "        plt.title(\"generated samples\")\n",
    "\n",
    "        plt.subplot(1,3,2)\n",
    "        plot_z(zs)\n",
    "        plt.title(\"latent space\")\n",
    "\n",
    "        plt.subplot(1,3,3)\n",
    "        plot_px(log_px.reshape(len(x1), len(x2)),domain)\n",
    "        plt.title(\"likelihood estimate\")\n",
    "        plt.margins(0, 0)\n",
    "        if out_file is not None:\n",
    "            plt.savefig(\"%s-step-%d.png\" % (out_file,step+1), bbox_inches='tight', pad_inches=0)\n",
    "        plt.show()\n",
    "\n",
    "if out_file is not None:\n",
    "    torch.save(flow.state_dict(), (\"%s.pt\") % (out_file))\n",
    "    from scipy.io import savemat\n",
    "    savemat((\"%s.mat\") % (out_file), {\"his\":his})"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Visualize the Final Result\n",
    "\n",
    "Compare this to Figure 5 in [https://arxiv.org/abs/2103.05180](https://arxiv.org/abs/2103.05180)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "outputs": [
    {
     "ename": "RuntimeError",
     "evalue": "latex was not able to process the following string:\nb'likelihood $p_{\\\\x08oldsymbol{\\\\theta}}(\\\\\\\\mathbf{x})$ and samples $g_{\\\\x08oldsymbol{\\\\theta}}(\\\\\\\\mathbf{x})'\n\nHere is the full report generated by latex:\nThis is pdfTeX, Version 3.14159265-2.6-1.40.20 (TeX Live 2019) (preloaded format=latex)\n restricted \\write18 enabled.\nentering extended mode\n(/Users/lruthot/.matplotlib/tex.cache/c86bc03cd18d7c539a7fe7c8a3517977.tex\nLaTeX2e <2018-12-01>\n(/usr/local/texlive/2019/texmf-dist/tex/latex/base/article.cls\nDocument Class: article 2018/09/03 v1.4i Standard LaTeX document class\n(/usr/local/texlive/2019/texmf-dist/tex/latex/base/size10.clo))\n(/usr/local/texlive/2019/texmf-dist/tex/latex/type1cm/type1cm.sty)\n(/usr/local/texlive/2019/texmf-dist/tex/latex/cm-super/type1ec.sty\n(/usr/local/texlive/2019/texmf-dist/tex/latex/base/t1cmr.fd))\n(/usr/local/texlive/2019/texmf-dist/tex/latex/base/inputenc.sty)\n(/usr/local/texlive/2019/texmf-dist/tex/latex/geometry/geometry.sty\n(/usr/local/texlive/2019/texmf-dist/tex/latex/graphics/keyval.sty)\n(/usr/local/texlive/2019/texmf-dist/tex/generic/oberdiek/ifpdf.sty)\n(/usr/local/texlive/2019/texmf-dist/tex/generic/oberdiek/ifvtex.sty)\n(/usr/local/texlive/2019/texmf-dist/tex/generic/ifxetex/ifxetex.sty)\n\nPackage geometry Warning: Over-specification in `h'-direction.\n    `width' (5058.9pt) is ignored.\n\n\nPackage geometry Warning: Over-specification in `v'-direction.\n    `height' (5058.9pt) is ignored.\n\n) (/usr/local/texlive/2019/texmf-dist/tex/latex/base/textcomp.sty\n(/usr/local/texlive/2019/texmf-dist/tex/latex/base/ts1enc.def\n(/usr/local/texlive/2019/texmf-dist/tex/latex/base/ts1enc.dfu)))\n(./c86bc03cd18d7c539a7fe7c8a3517977.aux)\n(/usr/local/texlive/2019/texmf-dist/tex/latex/base/ts1cmr.fd)\n*geometry* driver: auto-detecting\n*geometry* detected driver: dvips\n\n! Package inputenc Error: Unicode character ^^H (U+0008)\n(inputenc)                not set up for use with LaTeX.\n\nSee the inputenc package documentation for explanation.\nType  H <return>  for immediate help.\n ...                                              \n                                                  \nl.19 {\\sffamily likelihood $p_{^^H\n                                  oldsymbol{\theta}}(\\mathbf{x})$ and samples...\nNo pages of output.\nTranscript written on c86bc03cd18d7c539a7fe7c8a3517977.log.\n\n\n",
     "output_type": "error",
     "traceback": [
      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
      "\u001B[0;31mCalledProcessError\u001B[0m                        Traceback (most recent call last)",
      "\u001B[0;32m~/venv/pytorch/lib/python3.7/site-packages/matplotlib/texmanager.py\u001B[0m in \u001B[0;36m_run_checked_subprocess\u001B[0;34m(self, command, tex)\u001B[0m\n\u001B[1;32m    276\u001B[0m                                              \u001B[0mcwd\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mtexcache\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 277\u001B[0;31m                                              stderr=subprocess.STDOUT)\n\u001B[0m\u001B[1;32m    278\u001B[0m         \u001B[0;32mexcept\u001B[0m \u001B[0mFileNotFoundError\u001B[0m \u001B[0;32mas\u001B[0m \u001B[0mexc\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
      "\u001B[0;32m/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.7/lib/python3.7/subprocess.py\u001B[0m in \u001B[0;36mcheck_output\u001B[0;34m(timeout, *popenargs, **kwargs)\u001B[0m\n\u001B[1;32m    394\u001B[0m     return run(*popenargs, stdout=PIPE, timeout=timeout, check=True,\n\u001B[0;32m--> 395\u001B[0;31m                **kwargs).stdout\n\u001B[0m\u001B[1;32m    396\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n",
      "\u001B[0;32m/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.7/lib/python3.7/subprocess.py\u001B[0m in \u001B[0;36mrun\u001B[0;34m(input, capture_output, timeout, check, *popenargs, **kwargs)\u001B[0m\n\u001B[1;32m    486\u001B[0m             raise CalledProcessError(retcode, process.args,\n\u001B[0;32m--> 487\u001B[0;31m                                      output=stdout, stderr=stderr)\n\u001B[0m\u001B[1;32m    488\u001B[0m     \u001B[0;32mreturn\u001B[0m \u001B[0mCompletedProcess\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mprocess\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0margs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mretcode\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mstdout\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mstderr\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
      "\u001B[0;31mCalledProcessError\u001B[0m: Command '['latex', '-interaction=nonstopmode', '--halt-on-error', '/Users/lruthot/.matplotlib/tex.cache/c86bc03cd18d7c539a7fe7c8a3517977.tex']' returned non-zero exit status 1.",
      "\nThe above exception was the direct cause of the following exception:\n",
      "\u001B[0;31mRuntimeError\u001B[0m                              Traceback (most recent call last)",
      "\u001B[0;32m~/venv/pytorch/lib/python3.7/site-packages/IPython/core/formatters.py\u001B[0m in \u001B[0;36m__call__\u001B[0;34m(self, obj)\u001B[0m\n\u001B[1;32m    339\u001B[0m                 \u001B[0;32mpass\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    340\u001B[0m             \u001B[0;32melse\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 341\u001B[0;31m                 \u001B[0;32mreturn\u001B[0m \u001B[0mprinter\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mobj\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m    342\u001B[0m             \u001B[0;31m# Finally look for special method names\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    343\u001B[0m             \u001B[0mmethod\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mget_real_method\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mobj\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mprint_method\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
      "\u001B[0;32m~/venv/pytorch/lib/python3.7/site-packages/IPython/core/pylabtools.py\u001B[0m in \u001B[0;36m<lambda>\u001B[0;34m(fig)\u001B[0m\n\u001B[1;32m    246\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    247\u001B[0m     \u001B[0;32mif\u001B[0m \u001B[0;34m'png'\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mformats\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 248\u001B[0;31m         \u001B[0mpng_formatter\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mfor_type\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mFigure\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;32mlambda\u001B[0m \u001B[0mfig\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mprint_figure\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mfig\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m'png'\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m**\u001B[0m\u001B[0mkwargs\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m    249\u001B[0m     \u001B[0;32mif\u001B[0m \u001B[0;34m'retina'\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mformats\u001B[0m \u001B[0;32mor\u001B[0m \u001B[0;34m'png2x'\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mformats\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    250\u001B[0m         \u001B[0mpng_formatter\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mfor_type\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mFigure\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;32mlambda\u001B[0m \u001B[0mfig\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mretina_figure\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mfig\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m**\u001B[0m\u001B[0mkwargs\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
      "\u001B[0;32m~/venv/pytorch/lib/python3.7/site-packages/IPython/core/pylabtools.py\u001B[0m in \u001B[0;36mprint_figure\u001B[0;34m(fig, fmt, bbox_inches, **kwargs)\u001B[0m\n\u001B[1;32m    130\u001B[0m         \u001B[0mFigureCanvasBase\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mfig\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    131\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 132\u001B[0;31m     \u001B[0mfig\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mcanvas\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mprint_figure\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mbytes_io\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m**\u001B[0m\u001B[0mkw\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m    133\u001B[0m     \u001B[0mdata\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mbytes_io\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mgetvalue\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    134\u001B[0m     \u001B[0;32mif\u001B[0m \u001B[0mfmt\u001B[0m \u001B[0;34m==\u001B[0m \u001B[0;34m'svg'\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
      "\u001B[0;32m~/venv/pytorch/lib/python3.7/site-packages/matplotlib/backend_bases.py\u001B[0m in \u001B[0;36mprint_figure\u001B[0;34m(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)\u001B[0m\n\u001B[1;32m   2191\u001B[0m                            else suppress())\n\u001B[1;32m   2192\u001B[0m                     \u001B[0;32mwith\u001B[0m \u001B[0mctx\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m-> 2193\u001B[0;31m                         \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mfigure\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mdraw\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mrenderer\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m   2194\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   2195\u001B[0m                     bbox_inches = self.figure.get_tightbbox(\n",
      "\u001B[0;32m~/venv/pytorch/lib/python3.7/site-packages/matplotlib/artist.py\u001B[0m in \u001B[0;36mdraw_wrapper\u001B[0;34m(artist, renderer, *args, **kwargs)\u001B[0m\n\u001B[1;32m     39\u001B[0m                 \u001B[0mrenderer\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mstart_filter\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m     40\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m---> 41\u001B[0;31m             \u001B[0;32mreturn\u001B[0m \u001B[0mdraw\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0martist\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mrenderer\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m*\u001B[0m\u001B[0margs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m**\u001B[0m\u001B[0mkwargs\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m     42\u001B[0m         \u001B[0;32mfinally\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m     43\u001B[0m             \u001B[0;32mif\u001B[0m \u001B[0martist\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mget_agg_filter\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;32mis\u001B[0m \u001B[0;32mnot\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
      "\u001B[0;32m~/venv/pytorch/lib/python3.7/site-packages/matplotlib/figure.py\u001B[0m in \u001B[0;36mdraw\u001B[0;34m(self, renderer)\u001B[0m\n\u001B[1;32m   1862\u001B[0m             \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mpatch\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mdraw\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mrenderer\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   1863\u001B[0m             mimage._draw_list_compositing_images(\n\u001B[0;32m-> 1864\u001B[0;31m                 renderer, self, artists, self.suppressComposite)\n\u001B[0m\u001B[1;32m   1865\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   1866\u001B[0m             \u001B[0mrenderer\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mclose_group\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m'figure'\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
      "\u001B[0;32m~/venv/pytorch/lib/python3.7/site-packages/matplotlib/image.py\u001B[0m in \u001B[0;36m_draw_list_compositing_images\u001B[0;34m(renderer, parent, artists, suppress_composite)\u001B[0m\n\u001B[1;32m    129\u001B[0m     \u001B[0;32mif\u001B[0m \u001B[0mnot_composite\u001B[0m \u001B[0;32mor\u001B[0m \u001B[0;32mnot\u001B[0m \u001B[0mhas_images\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    130\u001B[0m         \u001B[0;32mfor\u001B[0m \u001B[0ma\u001B[0m \u001B[0;32min\u001B[0m \u001B[0martists\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 131\u001B[0;31m             \u001B[0ma\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mdraw\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mrenderer\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m    132\u001B[0m     \u001B[0;32melse\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    133\u001B[0m         \u001B[0;31m# Composite any adjacent images together\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
      "\u001B[0;32m~/venv/pytorch/lib/python3.7/site-packages/matplotlib/artist.py\u001B[0m in \u001B[0;36mdraw_wrapper\u001B[0;34m(artist, renderer, *args, **kwargs)\u001B[0m\n\u001B[1;32m     39\u001B[0m                 \u001B[0mrenderer\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mstart_filter\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m     40\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m---> 41\u001B[0;31m             \u001B[0;32mreturn\u001B[0m \u001B[0mdraw\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0martist\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mrenderer\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m*\u001B[0m\u001B[0margs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m**\u001B[0m\u001B[0mkwargs\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m     42\u001B[0m         \u001B[0;32mfinally\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m     43\u001B[0m             \u001B[0;32mif\u001B[0m \u001B[0martist\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mget_agg_filter\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;32mis\u001B[0m \u001B[0;32mnot\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
      "\u001B[0;32m~/venv/pytorch/lib/python3.7/site-packages/matplotlib/cbook/deprecation.py\u001B[0m in \u001B[0;36mwrapper\u001B[0;34m(*inner_args, **inner_kwargs)\u001B[0m\n\u001B[1;32m    409\u001B[0m                          \u001B[0;32melse\u001B[0m \u001B[0mdeprecation_addendum\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    410\u001B[0m                 **kwargs)\n\u001B[0;32m--> 411\u001B[0;31m         \u001B[0;32mreturn\u001B[0m \u001B[0mfunc\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m*\u001B[0m\u001B[0minner_args\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m**\u001B[0m\u001B[0minner_kwargs\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m    412\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    413\u001B[0m     \u001B[0;32mreturn\u001B[0m \u001B[0mwrapper\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
      "\u001B[0;32m~/venv/pytorch/lib/python3.7/site-packages/matplotlib/axes/_base.py\u001B[0m in \u001B[0;36mdraw\u001B[0;34m(self, renderer, inframe)\u001B[0m\n\u001B[1;32m   2705\u001B[0m                 \u001B[0martists\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mremove\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mspine\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   2706\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m-> 2707\u001B[0;31m         \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_update_title_position\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mrenderer\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m   2708\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   2709\u001B[0m         \u001B[0;32mif\u001B[0m \u001B[0;32mnot\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0maxison\u001B[0m \u001B[0;32mor\u001B[0m \u001B[0minframe\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
      "\u001B[0;32m~/venv/pytorch/lib/python3.7/site-packages/matplotlib/axes/_base.py\u001B[0m in \u001B[0;36m_update_title_position\u001B[0;34m(self, renderer)\u001B[0m\n\u001B[1;32m   2646\u001B[0m                 \u001B[0m_log\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mdebug\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m'top of axes not in the figure, so title not moved'\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   2647\u001B[0m                 \u001B[0;32mreturn\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m-> 2648\u001B[0;31m             \u001B[0;32mif\u001B[0m \u001B[0mtitle\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mget_window_extent\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mrenderer\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mymin\u001B[0m \u001B[0;34m<\u001B[0m \u001B[0mtop\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m   2649\u001B[0m                 \u001B[0m_\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0my\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mtransAxes\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0minverted\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mtransform\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;36m0\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mtop\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m   2650\u001B[0m                 \u001B[0mtitle\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mset_position\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mx\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0my\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
      "\u001B[0;32m~/venv/pytorch/lib/python3.7/site-packages/matplotlib/text.py\u001B[0m in \u001B[0;36mget_window_extent\u001B[0;34m(self, renderer, dpi)\u001B[0m\n\u001B[1;32m    900\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    901\u001B[0m         \u001B[0;32mwith\u001B[0m \u001B[0mcbook\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_setattr_cm\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mfigure\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mdpi\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0mdpi\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 902\u001B[0;31m             \u001B[0mbbox\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0minfo\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mdescent\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_get_layout\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_renderer\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m    903\u001B[0m             \u001B[0mx\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0my\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mget_unitless_position\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    904\u001B[0m             \u001B[0mx\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0my\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mget_transform\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mtransform\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mx\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0my\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
      "\u001B[0;32m~/venv/pytorch/lib/python3.7/site-packages/matplotlib/text.py\u001B[0m in \u001B[0;36m_get_layout\u001B[0;34m(self, renderer)\u001B[0m\n\u001B[1;32m    294\u001B[0m             \u001B[0;32mif\u001B[0m \u001B[0mclean_line\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    295\u001B[0m                 w, h, d = renderer.get_text_width_height_descent(\n\u001B[0;32m--> 296\u001B[0;31m                     clean_line, self._fontproperties, ismath=ismath)\n\u001B[0m\u001B[1;32m    297\u001B[0m             \u001B[0;32melse\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    298\u001B[0m                 \u001B[0mw\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mh\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0md\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;36m0\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
      "\u001B[0;32m~/venv/pytorch/lib/python3.7/site-packages/matplotlib/backends/backend_agg.py\u001B[0m in \u001B[0;36mget_text_width_height_descent\u001B[0;34m(self, s, prop, ismath)\u001B[0m\n\u001B[1;32m    226\u001B[0m             \u001B[0mfontsize\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mprop\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mget_size_in_points\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    227\u001B[0m             w, h, d = texmanager.get_text_width_height_descent(\n\u001B[0;32m--> 228\u001B[0;31m                 s, fontsize, renderer=self)\n\u001B[0m\u001B[1;32m    229\u001B[0m             \u001B[0;32mreturn\u001B[0m \u001B[0mw\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mh\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0md\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    230\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n",
      "\u001B[0;32m~/venv/pytorch/lib/python3.7/site-packages/matplotlib/texmanager.py\u001B[0m in \u001B[0;36mget_text_width_height_descent\u001B[0;34m(self, tex, fontsize, renderer)\u001B[0m\n\u001B[1;32m    421\u001B[0m         \u001B[0;32melse\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    422\u001B[0m             \u001B[0;31m# use dviread.\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 423\u001B[0;31m             \u001B[0mdvifile\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mmake_dvi\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mtex\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mfontsize\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m    424\u001B[0m             \u001B[0;32mwith\u001B[0m \u001B[0mdviread\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mDvi\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mdvifile\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;36m72\u001B[0m \u001B[0;34m*\u001B[0m \u001B[0mdpi_fraction\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;32mas\u001B[0m \u001B[0mdvi\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    425\u001B[0m                 \u001B[0mpage\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mdvi\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
      "\u001B[0;32m~/venv/pytorch/lib/python3.7/site-packages/matplotlib/texmanager.py\u001B[0m in \u001B[0;36mmake_dvi\u001B[0;34m(self, tex, fontsize)\u001B[0m\n\u001B[1;32m    309\u001B[0m                 self._run_checked_subprocess(\n\u001B[1;32m    310\u001B[0m                     [\"latex\", \"-interaction=nonstopmode\", \"--halt-on-error\",\n\u001B[0;32m--> 311\u001B[0;31m                      texfile], tex)\n\u001B[0m\u001B[1;32m    312\u001B[0m             \u001B[0;32mfor\u001B[0m \u001B[0mfname\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mglob\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mglob\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mbasefile\u001B[0m \u001B[0;34m+\u001B[0m \u001B[0;34m'*'\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    313\u001B[0m                 \u001B[0;32mif\u001B[0m \u001B[0;32mnot\u001B[0m \u001B[0mfname\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mendswith\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m'dvi'\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m'tex'\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
      "\u001B[0;32m~/venv/pytorch/lib/python3.7/site-packages/matplotlib/texmanager.py\u001B[0m in \u001B[0;36m_run_checked_subprocess\u001B[0;34m(self, command, tex)\u001B[0m\n\u001B[1;32m    288\u001B[0m                     \u001B[0mprog\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0mcommand\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;36m0\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    289\u001B[0m                     \u001B[0mtex\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0mtex\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mencode\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m'unicode_escape'\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 290\u001B[0;31m                     exc=exc.output.decode('utf-8'))) from exc\n\u001B[0m\u001B[1;32m    291\u001B[0m         \u001B[0m_log\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mdebug\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mreport\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m    292\u001B[0m         \u001B[0;32mreturn\u001B[0m \u001B[0mreport\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
      "\u001B[0;31mRuntimeError\u001B[0m: latex was not able to process the following string:\nb'likelihood $p_{\\\\x08oldsymbol{\\\\theta}}(\\\\\\\\mathbf{x})$ and samples $g_{\\\\x08oldsymbol{\\\\theta}}(\\\\\\\\mathbf{x})'\n\nHere is the full report generated by latex:\nThis is pdfTeX, Version 3.14159265-2.6-1.40.20 (TeX Live 2019) (preloaded format=latex)\n restricted \\write18 enabled.\nentering extended mode\n(/Users/lruthot/.matplotlib/tex.cache/c86bc03cd18d7c539a7fe7c8a3517977.tex\nLaTeX2e <2018-12-01>\n(/usr/local/texlive/2019/texmf-dist/tex/latex/base/article.cls\nDocument Class: article 2018/09/03 v1.4i Standard LaTeX document class\n(/usr/local/texlive/2019/texmf-dist/tex/latex/base/size10.clo))\n(/usr/local/texlive/2019/texmf-dist/tex/latex/type1cm/type1cm.sty)\n(/usr/local/texlive/2019/texmf-dist/tex/latex/cm-super/type1ec.sty\n(/usr/local/texlive/2019/texmf-dist/tex/latex/base/t1cmr.fd))\n(/usr/local/texlive/2019/texmf-dist/tex/latex/base/inputenc.sty)\n(/usr/local/texlive/2019/texmf-dist/tex/latex/geometry/geometry.sty\n(/usr/local/texlive/2019/texmf-dist/tex/latex/graphics/keyval.sty)\n(/usr/local/texlive/2019/texmf-dist/tex/generic/oberdiek/ifpdf.sty)\n(/usr/local/texlive/2019/texmf-dist/tex/generic/oberdiek/ifvtex.sty)\n(/usr/local/texlive/2019/texmf-dist/tex/generic/ifxetex/ifxetex.sty)\n\nPackage geometry Warning: Over-specification in `h'-direction.\n    `width' (5058.9pt) is ignored.\n\n\nPackage geometry Warning: Over-specification in `v'-direction.\n    `height' (5058.9pt) is ignored.\n\n) (/usr/local/texlive/2019/texmf-dist/tex/latex/base/textcomp.sty\n(/usr/local/texlive/2019/texmf-dist/tex/latex/base/ts1enc.def\n(/usr/local/texlive/2019/texmf-dist/tex/latex/base/ts1enc.dfu)))\n(./c86bc03cd18d7c539a7fe7c8a3517977.aux)\n(/usr/local/texlive/2019/texmf-dist/tex/latex/base/ts1cmr.fd)\n*geometry* driver: auto-detecting\n*geometry* detected driver: dvips\n\n! Package inputenc Error: Unicode character ^^H (U+0008)\n(inputenc)                not set up for use with LaTeX.\n\nSee the inputenc package documentation for explanation.\nType  H <return>  for immediate help.\n ...                                              \n                                                  \nl.19 {\\sffamily likelihood $p_{^^H\n                                  oldsymbol{\theta}}(\\mathbf{x})$ and samples...\nNo pages of output.\nTranscript written on c86bc03cd18d7c539a7fe7c8a3517977.log.\n\n\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 2400x1600 with 3 Axes>"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "Text(0.5, 1.0, 'hidden layers')"
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 2400x1600 with 1 Axes>",
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     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.Figure()\n",
    "plt.subplot(1,3,1)\n",
    "plot_px(log_px.reshape(len(x1), len(x2)),domain)\n",
    "plot_x(xs[:64, :],domain)\n",
    "plt.title(\"likelihood and samples\")\n",
    "\n",
    "xx = get_data(20000)\n",
    "zz = flow.ginv(xx)[0].detach().numpy()\n",
    "\n",
    "plt.subplot(1,3,2)\n",
    "plot_pz(zz)\n",
    "plot_z(zs[:64,:])\n",
    "plt.title(\"inverse of generator\")\n",
    "\n",
    "zall = torch.cat(flow.ginv(x)[2],1)\n",
    "\n",
    "plt.subplot(1,3,3)\n",
    "plt.plot(x[:, 0], x[:, 1], \"bs\",alpha=0.05)\n",
    "plt.plot(zs[:, 0], zs[:, 1], \"or\",alpha=0.05)\n",
    "\n",
    "for k in range(6):\n",
    "    zk = zall[k,:].reshape(-1,2)\n",
    "    plt.plot(zk[:, 0], zk[:, 1], \"-xk\")\n",
    "    plt.plot(zk[0, 0], zk[0, 1], \"bs\")\n",
    "    plt.plot(zk[-1, 0], zk[-1, 1], \"or\")\n",
    "\n",
    "plt.axis(\"square\")\n",
    "plt.axis((-3.5, 3.5, -3.5, 3.5))\n",
    "plt.xticks((-3.5, 3.5))\n",
    "plt.yticks((-3.5, 3.5))\n",
    "plt.margins(0, 0)\n",
    "plt.title(\"hidden layers\")"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}