{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Active perception for focused transmit steering\n", "\n", "In this tutorial we will implement a basic perception-action loop to drive intelligent and adaptive focused transmit steering. We will use [Diffusion Models](https://zea.readthedocs.io/en/latest/_autosummary/zea.models.diffusion.html#zea.models.diffusion.DiffusionModel) to implement perception-as-inference, with [greedy entropy minimization](https://zea.readthedocs.io/en/latest/_autosummary/zea.agent.selection.html#zea.agent.selection.GreedyEntropy) as our action selection policy.\n", "\n", "For more information we would like to refer you to the paper [Patient-Adaptive Focused Transmit Beamforming using Cognitive Ultrasound](https://tue-bmd.github.io/ulsa/)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/tue-bmd/zea/blob/main/docs/source/notebooks/agent/agent_example.ipynb)\n", " \n", "[![View on GitHub](https://img.shields.io/badge/GitHub-View%20Source-blue?logo=github)](https://github.com/tue-bmd/zea/blob/main/docs/source/notebooks/agent/agent_example.ipynb)\n", " \n", "[![Hugging Face model](https://img.shields.io/badge/Hugging%20Face-Model-yellow?logo=huggingface)](https://huggingface.co/zeahub/diffusion-echonet-dynamic)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "‼️ **Important:** This notebook is optimized for **GPU/TPU**. Code execution on a **CPU** may be very slow.\n", "\n", "If you are running in Colab, please enable a hardware accelerator via:\n", "\n", "**Runtime → Change runtime type → Hardware accelerator → GPU/TPU** 🚀." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%%capture\n", "%pip install zea" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import os\n", "\n", "os.environ[\"KERAS_BACKEND\"] = \"jax\"\n", "os.environ[\"TF_CPP_MIN_LOG_LEVEL\"] = \"3\"" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m\u001b[38;5;36mzea\u001b[0m\u001b[0m: Using backend 'jax'\n" ] } ], "source": [ "import keras\n", "import keras.ops as ops\n", "import matplotlib.pyplot as plt\n", "from matplotlib import animation\n", "from tqdm import tqdm\n", "\n", "from zea import init_device\n", "from zea.models.diffusion import DiffusionModel\n", "from zea.ops import Pipeline, ScanConvert\n", "from zea.func import translate\n", "from zea.data import Dataset\n", "from zea.visualize import plot_image_grid, set_mpl_style\n", "from zea.agent.selection import GreedyEntropy" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "tags": [ "parameters" ] }, "outputs": [], "source": [ "n_prior_samples = 4\n", "n_unconditional_steps = 90\n", "n_initial_conditonal_steps = 180\n", "n_conditional_steps = 200\n", "n_conditional_samples = 4" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We will work with the GPU if available, and initialize using `init_device` to pick the best available device. Also, (optionally), we will set the matplotlib style for plotting." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "init_device(verbose=False)\n", "set_mpl_style()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Load dataset and model" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "d47495a242f04c2d9b7c2cfdb23437e3", "version_major": 2, "version_minor": 0 }, "text/plain": [ "config.json: 0%| | 0.00/858 [00:00 1 is not available. Disabling jit for ScanConvert.\n" ] }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxoAAACRCAYAAABE387UAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjMsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvZiW1igAAAAlwSFlzAAAPYQAAD2EBqD+naQAA8LpJREFUeJzsvXmMZGlWHX5evNj3PSIjMyPX2peZbrprugebbo3YjRfZSNiMMTJ4xCoQMjaSkT0Gy2PLRpYBWTCWpZGFwYBtgW0GY2SJYWCGnqX36uraco+Mfd/39/sjf+fWFznV3VXdWZ1ZWe9Koa6uzMp8Ee+++9177rnnagAMmGaaaaaZZppppplmmmmmHaFZjvsCTDPNNNNMM80000wzzbTTZ2ahYZpppplmmmmmmWaaaaYduZmFhmmmmWaaaaaZZpppppl25GYWGqaZZppppplmmmmmmWbakZtZaJhmmmmmmWaaaaaZZpppR25moWGaaaaZZppppplmmmmmHbmZhYZppplmmmmmmWaaaaaZduRmFhqmmWaaaaaZZppppplm2pGbWWiYZppppplmmmmmmWaaaUduZqFhmmmn2L7ne74HuVwOn/vc5477UkwzzTTTTDPt1JjD4cDGxgYMwzjuSznRZhYa97GlpSV8+tOfxtLS0pH9zOeffx5/+qd/iuvXr+PWrVv49V//dQQCgSP7+aY93nbUPuf1evGf/tN/wj//5/8cyWTySH6maafLjtLnrFYrvvd7vxd/+Id/iJs3b+LNN9/Em2++iU9/+tPwer1HcLWmnQY76jj3fd/3ffjv//2/4/XXX8err76KW7du4bd/+7dx/vz5I/n5pj3+9ijyOdo//sf/GKurq0f+c0+jGeZr9vXCCy8YhmEYL7zwwpH8vKefftrodrvGT/zETxgADJfLZXzhC18wvvzlLxsWi+XY36/5Ov7XUfvcj//4jxu/+Iu/aFitVsMwDONzn/vcsb9H83WyXkfpcx/72McMwzCMH/mRH5G/u3r1qlEul42XXnrJjHPmywCOPs5tbW0Zv/Ebv2E4nU4DgBEIBIw/+ZM/MXK5nBEOh4/9/Zqv438dtc/xtbi4aBQKBeOP//iPDeOgpWG+3uFldjQ+BPulX/olbG9v4z/8h/8AAOj1evi5n/s5PP/88/jkJz95zFdn2mm0z372s/hn/+yfYTweH/elmPaE2Ouvv47Pfvaz8v9vvPEGfv3Xfx0f+9jH8MILLxzjlZl2Wu2ll17Cz//8z6Pf7wMAGo0GfvmXfxnJZBLf/M3ffMxXZ9pptl/6pV/CL//yL2N/f/+4L+WxsGOvdk7S62d/9meNO3fuGIZhGHfu3DFeffVV49VXXzUCgcD7+nnxeNyYTCbGr/7qr878vaZpRqPRMP7gD/7g2N+z+Tre11H73OGX2dEwX4dfj8LnrFbrN/zdj/7ojxqGYRh/82/+zWN/z+breF+POs7x9QM/8AOGYRjGc889d+zv2Xwd7+tR+dyLL75o3L1717Db7cbnPvc5s6PxHi8rTJuxX/qlX8LXvvY1fOELX8A/+Af/AH/6p38qX/uFX/gF/LW/9tfe82d8/etfx6c+9SkAwNWrV2GxWLCxsTHzPYZhYHt7Gx/5yEeO9g2Y9tjZUfucaaa9lz0Kn7tf9+zcuXPo9/v40pe+dDQXbtpjax9GnHvmmWfw6U9/Gv/xP/5HvPTSS0dy3aY9vvYofM5iseBXfuVX8A//4T/EcDh8JNd9Gu3Yq52T9jpKTt/f+Tt/xzAMw/ihH/qhb/jan/3Znxn9fv/Y36/5Ov7Xo+KRAmZHw3zd//UofQ6A4ff7jUKhYPziL/7isb9X83UyXo/K537kR37EyOfzxnA4NP7Nv/k3MrNhvszXUfvcT/7kTxp//Md/LP9vdjTe+2XOaJhmmmmmmXbk9tnPfhZf+9rX8Au/8AvHfSmmnXL77Gc/i2QyiQsXLuDatWt45ZVXMDc3d9yXZdops0gkgn/6T/8pfvqnf/q4L+WxMrPQeMRWLpcBAH6//xu+5vf7USqVPuxLMs0000x7pPYrv/IriEQi+N7v/V5MJpPjvhzTnhDb2NjA93//9+PChQv4zGc+c9yXY9ops8985jP4rd/6Lbz99tvHfSmPlZkzGg9h74fT9/rrr2M6nX6D1rKmaVheXsaf/dmfPZJrNe10mDmjYdqHbR/U537t134N8/Pz+J7v+R6Tw2zaA9n78TmLxQK73S6KU7RsNotSqYRnn332kVyraafD3o/PvfDCCxiPx3j11Vfl6+l0GgDk737mZ34GX/jCF47+gh9zO3b+1kl7ffzjHzcMwzBefPFFAzjYg3HmzJn3/fP+5E/+xHjrrbdm/u7atWuGYRjG3/t7f+/Y36/5Ov7XUfuc+jJnNMzX/V5H7XMWi8X4z//5Pxu/8zu/M6NA9alPfcr41Kc+dezv13wd/+sofe6FF14wbt68+Q1/7/P5jPF4bHzhC1849vdrvo7/9SjPVsCc0XiQl0mduo9tb29jOp1iYWEBAPCrv/qreO655973z/vZn/1ZrKys4Md+7McAAC6XC//6X/9r/MVf/AX+y3/5L0dyzaY93nbUPmeaae9lR+lzVqsVv/3bv40XXngBn//85/F93/d9+OQnP4lPfvKT+M7v/E6kUqmjvHTTHlM76jh37tw5/NRP/RQ0TQMAeDwe2eXy7/7dv/vgF2zaY2/m2Xoy7NirnZP4+vSnP21sb28bb7zxhvG7v/u7ht1u/0A/7/nnnze++MUvGtevXzdu3bplfPaznz1y/XDz9Xi/jtLnYrGYaIYbhmFUKhXj1VdfNX7t137t2N+n+To5r6Pyub/6V/+q8W726U9/+tjfq/k6Ga+j8jmv12v81E/9lPGFL3zBeOutt4w333zT2N3dNf7wD//Q+MQnPnHs79N8nZzXUedzAIyf+7mfM1599VWjUqkYhmEYr776qvGlL33p2N/rSXxp//8fTDPNNNNMM80000wzzTTTjsxM6pRppplmmmmmmWaaaaaZduRmFhqmmWaaaaaZZppppplm2pGbWWiYZppppplmmmmmmWaaaUduZqFhmmmmmWaaaaaZZpppph25mYWGaaaZZppppplmmmmmmXbkZhYapplmmmmmmWaaaaaZZtqRm1loHKHZbDZZHGSaaR+GmT5n2odtps+Z9mGb6XOmfdhm+tzRmVloHJFpmoZz584hmUwe96WY9oQYfS6RSBz3pZj2hJimaThz5gxisdhxX4ppT4hpmob19XVEIpHjvhTTnhDTNA1ra2sIh8PHfSmnwqzHfQGnwbxeL1ZWVuD3+9Hr9WCz2TAajY77skw7xeb1enH+/Hl4PB70ej04nU70+/3jvizTTrF5vV5cvXoVdrsdnU7H9DnTHrl5vV489dRTsFgsaLfbps+Z9sjN6/Xi6aefBgB0Oh10Oh3T5z6gmYXGB7RQKISf/MmfhMvlQqfTwZtvvgnDMLC7u4vxeHzcl2faKbRwOIyf/MmfhMfjwXA4xKuvvgoA2NnZMX3OtEdikUgEP/ETPwG/34/BYICXX34Z169fx87ODgaDwXFfnmmn0CKRCH78x38c4XAY3W4Xr7zyCt58801sb29jOBwe9+WZdgotGo3ix37sxxCNRtFut/HKK6/gjTfewNbWlnm2fgAzC40PYE6nEz/8wz8Mq9WKcrmMfr+PRqOB6XSKUCiE4XCIRqNx3Jdp2ikyl8uFH/qhH4Ku68jlcuj3+yiXyxgOhwiFQuj3+2i1Wsd9maadInM4HPj7f//vw2azYX9/H+12G+VyGe12G6FQCJ1Ox/Q5047UHA4HfvAHfxB2ux27u7vodruo1WpotVqIxWJotVpotVowDOO4L9W0U2IOhwM/8AM/AJvNhq2tLfR6PdRqNbTbbcRiMYlzps89vGkAzE/tfZjT6cTy8jLm5+cxHA5RrVYxHo9hsVgQj8cBAD6fD7u7u9LlMM20D2JOpxMLCwtIp9OwWCzIZDIwDAOapiGZTGI6ncLj8SCTyeD69eumz5n2gc3lciGdTmNpaQm6rkun1mq1IhqNYjwew+12I5fL4a233jJ9zrQPbC6XCysrK0in09B1HZlMBoPBAC6XC4FAAMPhEHa7HaVSCTdu3DB9zrQPbC6XS2ZsCaj0+324XC74fD4MBgNYrVZUKhW8/fbbps89pJmFxvuwcDiMH/mRH8Hm5iZu374NXdfhdrvhdrthsViwvLyMXC4Hm80Gn8+HdruN//bf/hum0+lxX7ppj6mRRrC9vY27d+8COBhY48G7traGQqEAu90Ot9uNbreL//E//ofpc6a9b4tGo/jpn/5pbG5u4u7du5hMJrBarbDb7bBYLFhYWEChUIDP5wMAjEYj/N7v/Z7pc6a9bwuHw/i5n/s57Ozs4MaNG5hOp7Db7RgMBggGg4hEIqhWq3A6nZhMJjAMA7//+79v+pxp79sikQh+/ud/HplMBq+99pr4XLfbRTQahc/nQ7PZhMvlwnQ6xXg8Nn3uIc2kTj2kBYNBfN/3fR8+/vGPY21tDYFAAHt7e3A6nWg0GhgMBqjVarDZbHC5XHjhhRcQCATQ6/Xwv/7X/zruyzftMTTOZDz77LO4cOEC/vzP/xzb29sivWcYBgaDAXRdh8/nw1/+y38ZwWAQg8EA//t//28TfTHtoS0ajeJHf/RHce3aNZw9exYvvfQSMpkM3G438vk8XC4XbDYbQqEQQqEQrly5Ar/fj+FwiD/4gz8wfc60h7ZIJILv//7vx7lz57C8vIxgMIg7d+7A5XKhVCohFArB4XAgkUjAbrfj0qVL8Pl8GI1Gps+Z9r4sEong7/7dv4v19XXMz8/D5/Ph5s2b0HUdnU4HkUgEuq7D4/HAYrHg4sWL8Hg8GAwG+MM//EPT5x7QzI7GQ1gkEsE/+Sf/BD6fD9FoFH6/H263G3fu3EG5XBb61PLyMmw2G+bn52Gz2dBsNjEajfCbv/mbZrFh2kNZNBrFv/yX/xJ+vx+RSASj0Qh2ux3lchmVSgWNRgPD4RCrq6vo9XpYXFyE2+1GtVrFdDrFb/zGb5g+Z9pDWSQSwb/6V/8K0WgUbrcbo9EIDocDtVoNk8kE29vbsFgsWFxcRLPZRDqdht1uR6VSgdVqxW/+5m/i93//981D2LQHtmg0in//7/+9MAOIFtPn9vf3YbfbEQ6HoWkawuEwLBYLarUaHA4H/ut//a+mz5n2UBaPx/Fv/+2/hcvlgtfrxXQ6xXQ6RbPZhKZpqFQqQkd2OBxwuVzQdR31eh0+nw+/9Vu/ZfrcA5pZaDygBQIB/KN/9I9w5swZ5PN5tFotuFwuLCwswGKxwGKxYDAYYDwew+PxwG63w+/3Y3NzE/V6HfF4HL1eD7/3e79nVsKmPZCFw2F85jOfEdUVTdOEH+90OjEcDuX/fT4fWq0Wkskkdnd30Wq1EI/HUavV8Ad/8Af4oz/6I9PnTHtPC4VC+Bf/4l8gGAzC7Xaj1+thNBrB6XSiXq/DZrOh2+3C6XTC6XSiWq1ifn4emUwG4/EYCwsLaDab+J//83/i85///HG/HdMeA4tEIvjMZz6DRCIBq9WKZrMJu92OVquFWq0G4KBr6/F4YLPZMJlM4PF4sLOzA8MwsLa2hl6vh9/93d/F//k//+eY341pj4MRTCHd3Wo9IPe02220Wi30+31YrVa4XC6hilqtVmxubsJiseDSpUvodrv4rd/6LdPnHsBM6tQDmNfrxY/92I+h1WrB6/Xi3Llz2N/fh81mQyaTQbPZxHg8hq7rsNvtgjoHAgF0Oh00m03s7+8jHo/jmWeeQalUwle/+tXjflumnWDz+Xz4wR/8QdRqNSQSCSwuLqJarULTNNy9exfNZhOlUkk6Hf1+H5PJBIVCAYZhoFqtYnt7G5FIBNeuXUO1WsVXvvKV435bpp1g8/v9+Jmf+RkMh0NYLBboug5d1+H3+zEej1Gr1dBsNtHtdmV/C3cHTadTaJqGjY0NAMC1a9dQKBTw8ssvmwWuae9oXq8XP/MzPwMAaDabiEajGAwG8Pl8sFqt6PV6KJVKaDabUmSQLTCdTjGZTPDnf/7nSCQS+PjHP45isYhXXnnF9DnT3tE8Hg9++Id/GABgsVjg9XrFryKRCG7cuIFut4tutyvgSb/fRygUQiAQQLVaxZ//+Z8jGAzi+eefR71ex0svvWT63LuYWWi8h3k8Hvztv/238dGPfhQ+nw8OhwPdbhfLy8vC2RsMBrh58yYmk4mgfe12W6pht9uNVquFdruNYrGIc+fOod/v44033jjut2faCTSfz4dPfepTuHz5MgKBgEjWptNpaJqGSCQCTdOQz+eFrud2u2EYBtxuN3w+HwzDQCAQQLlcFn/t9/t4/fXXj/vtmXYCzePx4JOf/CRWVlYQDAaxv7+PcrmMxcVFOWj7/T6m06nMBNVqNYRCIWiaJhTRarWKYrGISqWCc+fOYTqd4pVXXjnut2faCTSXy4UXX3wRiUQCoVBIBFQikYigyaQoWywWlEolDAYDOBwOWK1W+P1+OBwOhEIh7O/vo9lsYm1tDdPpVHYLmWaaal6vF9/1Xd8lHdt8Pi9zZqPRCMPhEC6XC2fOnIFhGMhkMrDZbLBYLBiNRphOp5ibm4NhGNjY2MD+/j5WVlYwGo3w9a9//bjf3ok1s9B4F3O5XPiu7/ouTKdT3L59G+vr63jqqadQqVTQ6XTQ7XbR6XQQCoWQSqVgs9nQ6XQwnU6RTCaRz+dFGWgwGGB7exulUgnD4RDnzp1Dq9XC1tbWcb9N006QuVwufNu3fRs0TUO5XMZkMkE6ncZoNILNZkOj0RDaytzcHFwuFxqNBmw2G6bTKWq1GiqVCux2u0hDDodDDIdDnD9/Hp1OR1SrTDMNOJBN/s7v/E5YLBbcvHkT8/PziEajCAQC8Hg8uHPnDrxeL3Rdh9VqFT35SCSCTqcDu92OdruNfr8PwzAE2et0Okin0yiVStjb2zvmd2naSTKXy4VPfOITsNvt2NnZEWGB4XAIp9OJSqUCTdNQr9fh9XqF2uJwOFCtVuHxeNDtduFwOGC32wXkMwwD8XgcCwsLyGQyx/wuTTtJRnGe4XCIO3fuYDweIxgMQtM02X82HA7RbDbhdrvhcDigaRoGgwFKpRICgQBsNhvK5TLsdjt8Ph88Hg+KxSIWFhawt7eHQqFw3G/zRJpZaLyDOZ1OXL58WZK4druNN954A06nE5cuXUIymUSpVML29jb29/fl35XLZdhsNjgcDkFhAoEAdnd3Ua1WYbfbAQC6ruPpp5+GYRjY3t4+pndp2kkyInwOh0MEBLLZLBwOB9bX12G1WhEMBlGr1ZDP5zEajaTbQSSGw2v7+/vodrvY29uD3W6HpmmYTqd49tlnMRqNsLOzc9xv17QTYA6HA8888wycTie63S4CgQBu374tiiukqFQqFQwGA5Ea9fv9aDQaqFarAA7U+AjAFItFKYgbjQaee+456LpuxjnTABz43LVr12C32+FyudBut/H6668jmUxiMBggkUjAMAyZD2q1WnA6nWi1WnA4HBiPx5hMJsjn83LWlstl6LoOl8uFarWKj3zkIzAMY+ZsNu3JNYfDgW/+5m+G1+uFx+OB3+9HvV6fEbPQdR2DwQA2mw3D4RC9Xg9OpxPj8RgulwsOhwOZTAYulwuZTAZWqxWGYaDdbsvchsViQS6XO+63e+LMLDTuY3a7Hc899xwcDgd0XUe328Xt27dhs9kQDodRKBTg9/sRj8cRCAQkieN8hs1mg9PpxP7+Pvb395HNZgXR40Cbpmno9Xr4pm/6JlgsFmxubh7zuzbtOM3hcOBjH/uYqEi1Wi2hD7z99tvY3d1FMBiEy+WCx+MRHXkWwoZhyOLIyWSC3d1d0ZmnT9psNrRaLXzsYx+Druumzz3hZrfb8fzzz8NisaDVakn8crlcou5z69YtGIYBi8UiFNBut4vRaIT9/X0EAgEpdIfDIRqNBmq1GnRdh9frRbvdRqfTwfPPPw/DMMwC9wk3m82Gc+fOodfroVAoIBqNwuFwwOPxyCzZjRs30O/3pVsGQDjzwWBQFM729/dlSHc0GkHX9Zl5oeeffx5f+cpXzG7aE242mw1XrlxBv99HtVpFu90GcDAQ/t3f/d2oVqv42te+hlarBU3T0Gq1hCrF+Mbid3d3F4ZhwGazoV6vw2q1QtM0WCwW2O12/KW/9Jfw0ksvmT53yMxC45BZrVZcvHgRPp8Pk8kEFosFmqbJULfVasXq6iouX76M0WiEW7duCbeP1JVMJoNAIADgIIFstVrweDxot9tot9toNptwOp0IhUJot9u4cuUKxuMxdnd3j/ndm3Ycpus60uk0Op0OHA6HFBs+nw/T6RSlUgkrKyu4evUqNE3DnTt3sLu7i2KxiGKxKHSV8Xgsyme9Xk9mNhqNBiqVCuLxOOx2O+r1Os6cOYPhcGjSC55Q4x4CwzBESCAYDKLRaCAYDKJcLuPZZ5/F8vIyms0mXnrpJVy/fl0Kjel0il6vh729PYxGI9GZd7lcsFgs4pcARDbyIx/5CIbDoYn4PaHmcDjwTd/0TZhOp2g0GiLD3ev1EIvFcP36dXzsYx/D0tISXn/9dezv7+PNN9/EdDrFYDBAp9NBIBDA4uIiyuUyNE0Ttb3hcIhOp4NKpQK/349EIgGv14vnn38eVqvVpCg/oWa327G2tgaLxSIdsvF4jOFwiHK5DJfLhcuXL+PixYvY3d3Fzs6O0N8nkwl6vZ7QRcvlMqbTKer1OgKBAHRdR6VSQTAYRKfTkZmhZ555BpqmmfmcYmahoRi14ckN1XUdmqbBbreLbG2n00Eul8OFCxdQLpfRaDSQyWTgcDiQy+UwmUzgdDqRzWYRCAQwHo9ly6TNZsN4PMZoNBKlIJvNhl6vh1QqJfJppj05pus6UqmUCAf0+310u10ZenS5XKjX69jb24PVakUsFkO1WpVihD5EbjNpLbquo9lsAjgonieTiQRZq9WKfr+PRCIBn8+Ht99++5g/BdM+TKPPsVjo9/uyL6PdbsNut+O1115DNpvF2bNnAQCtVksGwRuNBjqdDnRdh9vtlg6Gx+MRCp+u66jVajKfViwW0e12sbq6imAwaPrcE2Z2ux0f+chHJMnzeDxwu90z4MjXvvY1bG5uIhaLodlsYjqdyhZwKjpOp1MUCgXY7XYB7/r9PpxOJ2w2GzweD/r9PprNJiqVCmw2GxYWFuByuXDjxo3j/hhM+xDNZrPh8uXLMoPBrj4AaJoGTdPw9a9/Hbu7u/D7/Wi323A4HPB6veJ/7JLlcjn0ej2hWFksFng8HozHY4zHYwQCAaGYNhoNxGIx2Gw2UeF70s3co/H/G1u6brdb2mderxculwuDwUCk9uLxOCwWC9bX19HpdCS5azab6Pf7cDgcAA4WDfl8PgwGAzidTnQ6HaFM8WfT+SmH22g0sLu7aw4UPSFms9mQTqeliKWfDIdD+P1+kRV1Op3weDzweDxIJBJoNpvo9XpSTPR6PXg8HoTDYeHSh0IhCZL7+/uYTqcYjUawWq1wOByYTqeyJ2F3d9fkMj8hZrVacfbsWXS7XaHh9ft9AUUoK0ragLoJnLFuOBxiMpnIPgPuePF6vbJPyDAMlEolAAd+zmQyFArBYrHgtddek/kO0063sXtGCifPPvLlm82mxDfObbRaLTSbTbTbbQQCAWENzM/PC72v2+3Kzo2FhQVZUkqhFsrhNhoNJJNJ3Lx50+zgPiGm6zpisRgCgQCCwaAUtCxwDcPA3NwcstksnE4n3G43yuUy3G43gIP8ze/3o9/vw+PxAAD6/T6AA3+OxWIys0F6PfPEyWSCZrOJubk5XL9+3cznYHY0ABw4JQNYLpeD0+mE1WqF3W5HqVSCx+ORQ5WyeltbW5hMJoLoWSwWdDodjMdjAPdQZJ/Ph2q1CpvNhmq1KvxnUq047Mbg6na7pXNi2uk1q9WK5eVleL1eKVi5lMrlcgE4WNg3nU6FqlIul9Fut2G1WuWQ1XVdDlMmfOSVOp1OAAfLroLBoCSK9XodtVpNimgqbAwGg+P8SEx7xKZpGqLRqMxPTCYT9Pt92ZERi8Vw5coVVKtV7O3todfryQB4u92WbhhwwJmnDKlhGCI4wK8ZhoHpdCpI32QyAQDs7u4iFArJAtNer3dsn4dpj950XcfKygosFovIhDabTRm6vXDhAkKhEG7fvo1yuQyr1SoqU6Tkdbtd6LouLIByuQyLxYJEIoF+vw+Xy4VarYZ6vS6IM2lV5XJZaC/BYBDdbtcscE+50edY0Nbrddn7M5lMsLy8jPF4LB2MbreLfr8voDALjMFgILM/nU5HhApqtRpKpRKcTify+TwSiQQcDgcmk4l8L3NJTdPMsxWA5bgv4CQYK9Z6vS6SZi6XCy6XC8FgEJPJBFarFalUColEArFYTALZYDBAt9sVTj0lID0eDyKRiDgttzcXCgXs7u6KRBoHkEqlEjqdDtxuN+bm5qTFZ9rpM85kEBUm/5ibvrmttN/vY319HR/5yEfg9/thtVoxnU7RbrdlqVogEEA0GhVanmEYggS2Wi2USiWRfuTvI8WgWq1iOBwKvcD0udNr9JVQKASHwwGHwyEzFD6fbyYBvHjxIi5cuCAL+5gk2mw21Go19Hq9mcPT4XAI55kykTabDYFAQDY91+t18T0qpamypaadPtM0DW63Wwa5K5UKDMMQeW4A2NnZwWg0wtzcHK5cuYKVlRW0Wi1ks1nptvX7fRG6yOfzcDgcMo/BnVWZTEbEL8gwKBQK0h12uVwCDJo+d3pN0zQEg0E5J7kvw+PxSG736quvCji8srKCVCoFTdMwHo/F30ajESaTCQKBgPgsgRaPxwPDMDCZTISmTIo9Vx5wODwSiSCRSMBiebJT7Sf+iWPgIZrC1m6v18OdO3eQSCQAAPl8HplMBvPz80in0xLs7HY7otEo9vf35eDlkj4igaFQCMDBsphEIiFc53a7jV6vJ8ggeYF07NFodGyfi2mPxiwWC2KxGLrdrqC5VqsVw+EQ3W5XBsAnkwnu3r0LwzAQi8UQCoWwurqKt99+G81mE41GA7quC1WPyZ3VakWr1RLOKTfUc1hc0zQJlmwPU7GKkqXsypl2eiwajUqy12w2oWmaxKV+vw9N0+B0OvGVr3wFd+7cQTAYhNfrFX5zr9dDvV5HoVCQBWu6rovSlKZpQnMxDEP+HSlTVqsVuq4jFAqJOAFpfKa/nT6zWCxIJpOioEfpZMMw0O12YbfbMRwOkc1mUalUMJ1OkUqlsLS0hHA4jM3NTaEjqwpmpMBwd0a/30c4HIau67LHhR01ChxomoZCoYBWq4VarSYzl6adPnM4HDJr5nK5ZLEtZ3r6/T5qtRquX78Ov98v4DC3gNOnms2mMAwYq4bDIWq1mgDHKk3K4XBgb28P3W5XaFVcakoVK3XH0JNmT+yMBg9aq9UqLbJUKiVIy3A4hN1uly2ko9EIfr8fvV4PtVpNVFa4KK3dbsPj8YjCSjweF0eMRCIYjUaSIPZ6PQQCgZnKt9lswuv1Ynd3V4Z2iQKadnrM6/XC6XQKJSoajcpsBfnJ7CzE43FomiaHLWlTTPDC4bAUp/QzTdNkeeSdO3cAAH6/X7oXTDg1TcPm5qZ01aiuYRgGyuXyExsQT6NxwJGD2oFAQAZyWeBGo1GhCVAznntbGo0G+v0+SqWSiA/4fD643W4kk0kZiGTXFjjYJ0RkkNK47HZQrY9zHUS8TTsdxvsaDAYl+Xe5XBiNRkIVdblc8Pv9cLvdQmFhMre4uIjJZCIdC85z1Ot1RCIRKU5tNhvcbreoUlWrVTmjGc9qtRocDgdqtZoUKa1WC+PxGNPp9Lg/KtOOyNg9CwaD0nGl2EUoFILP5xNqp6Zp0HVdCgld1+Hz+VCpVOBwOGRvGoV8mOM5HA6JY/1+Hz6fD/V6XebSyE5gF7jX64loC3O+J5W298R2NKgZTyfgwNB4PEYqlZLK1TAM1Ot1zM/PixMSTSH6TIfkNt3RaIRYLCabmbvdLhqNBiaTyYx0ms1mg67rwiMcj8ewWCwzXGhy8E17/I3zPY1GA1arFZFIBMBBN8Ln88m8ztzcnNALOPioDqLZ7XZJ3ihYwL0a0+kU8/PzaDabEjCz2azwnYlms3PB3zsajYQGaLVahYZl2uNtLGwbjYZQppxOp8wBMf4x0Q8Gg9L94vwGOxZ2ux2hUEhmenw+HyKRiMjhbm9vS5xzu91wu92y2MrlcsmOA3ZQvF4vBoOBzAqxm2va421Op1M2LBPFjUajghhTrWc6nYqaGRFgotGk1VGcwDAMLC0tIRKJwOPxIJvNIpvNClrM85ciGfPz85hMJshkMmi1WvD5fMKz50wR5yRNe/yNHYZarSb3Nx6Py4Z5Cq1QAGMymYgPaJom4gGMc9zvUq1WsbKygsFggN3dXZn18Pv9ACALTK1WK1ZWVtDr9bC5uSlL/DRNg2EYMrtB8Z8nzZ7Ijga5x5TE63a7MlPBtm4sFsN4PEaxWITdbkcikYDT6ZTlLCwG2KIl7510KSI0pA9QfrTdbsviIbZyAcgwJYOtpmkol8sYDofm4XtKjKiLWqgyCDEJpHa32+1GOByeKUYajcZMcFQl9oLBoBQqpBqwi8EuGxO80Wgkm5sBiP8SbSGtj8WNaY+nEcgAIKgbKQR+v18SQu758Xq9cDgc8Pv98Hq9KJfLgg47nc6ZA5jyyxSwoJgFVX2i0Sim0ymazab8/EKhIKIHuq4jGAxib29PwBzgoPAx7fE0gh+ky3H2h+fdysoKAIjaIoAZiovNZoPf75d/Qyozd1pxxhGA8N8rlYosYOPPpM/T/7hMkoIanB3iuUx1NNMeX+PQ9Wg0kg4uVfBYGDD5t1qtcvZROIW+Nh6PZX6NYG8wGBQghEtvOQtJlgBZCqQ0c06IoDJl6wOBAOr1+hM3HP7EFRq6rsvmbg7IMpGPRCKIx+OCEI/HYwlM3J5LikEymZTEjlx4Fh5Wq1WKDQ7x2u12qaq5NZIIS7vdhs1mkwV+3PRcKBSEx8/K2bTHyygsQLoScHAgc++AruuIRqPw+XzodruC8hqGAYfDITMd9CG73Y5CoSDKU0za2u023G43ms0mgsGgKLywcGERy22mLHLVZJQt30ajIQFafT5Me3yMXS8mWETqNE1DOBzGYDBANBoVoIS+yH0aLGg51wNA5JApAc4OrErLymazkjCWy2UUCgVomoZkMolSqST/xufzyZK1er2O0WgkSlWmPZ7GBI2iEwTbgAP6JqnI9MNutzuT1E2nUwHW+H2DwQCBQEBEBLjzhbRnAEKPYses1WqJtC1lnLlrCID4HM/rarVqxrjH1FwulzBR1HkvilHwv1SZYlHLeMMuWLfbRSgUgmEYaLVaACBg83Q6hcfjEQqVpmmoVCrSuR2NRnC73TKvFovFpFPcbDZRq9XgdDplNxvFhZ4kxb0nhjplsVhE3pNStIeDC7nqsVhMkjomexaLBeFwWDY3cwEauxupVArlclnUe6irzMrW4/EIcsJhcyr+UMKPi9i8Xi/cbrckfgyoPPxNezyMPscljjxISYWjbC3RZgZKn88nna5qtSpojcfjkQMagChpsG3MxLJQKCAej8PtdqPT6YiscqfTkRkPv98PTdNQrVbR7/clMeUAJiWeGZRNe3yMvuB0OqXYHI1GQk0i3YRzaKlUCgBQLBYl1m1vbyMWi8nBShSYKmZEBVnkGoYhiHKpVJLEcTQaIRqNol6vzyi7jEYjrKysIJFIYHt7G71eDxaLxZxLe0yNQAZnfNQtzCweWVySvkfaFLn1HLrlOUeqMuMnzz6Px4NWqyWd/1wuh/n5eVitVuzv74soAc/PVqsl3eJYLCaKQlR85Kyl2cF9vIyFomEYsFgs0j0gYMFOF+MhBXzC4bDkXeykERh2u91CoXK5XGi325hOp3C5XKhWq+h0OtIRJg2ey0tZ5BSLRSlOSDWt1WoixOJ0OtHv9+WanwR7IgoNq9WKxcVF2YtBvWPSSYB71AIqCtDhKN1Iecd8Pi880vF4LJK0HBDv9Xool8tCuwoGg7BarSgWi7DZbDJIRAcjqselbVxxz0Vto9FIkj7uPGBLzrSTa0R6OZTIJUH1en3m3nMYm+opPFjH47H8W1IH2IUjzcQwDBkiJz+Vfk3OKYMmlaZ2d3dFZYOdO3LxWfjwRZS7VquZxcZjYBaLZWbeQU38arWa+N1kMoHFYkG1WoXD4ZDFfCw+vF4vksmkJH/ValW25VIRr9frwTAMESDI5/PodrtCKwAggAznfShswGvb39+X/yfqTNUgM+l7PIw+p3bO6CNM+EgbYSe32WxKkkjAg3Ld9A2CdQRfGKPYVaNvcygXACqVipzH7JSo1Kj5+XkUi0VkMhkBdAzDmAH9zNm0k2/qfBdwr+CIRqMi7c4zEICwUkiVt9vt2NnZgdfrRTweR7fbxdLSEoB7YC6pxKTZkz1AOiApVBRqaTabUsD2ej05x6m81uv14HK5pCiirwWDwZmc4LTaqS80uBiNnGAm+2xrTadTQXM1TRM0jc7lcDhQqVSE905EOBAIiI4y5fNYpIzHYzmsG42GLFOjXOR0OkU4HJYAWy6XpbWr67roMVP+kTx9ygD6/X5JNk07eabrOlZXV6UbQBljtmsBzCiaMYCxZctEPxQKyfJGKlqwe6FpmswPARB1CwoTEE3e29vDcDhEu90Wjj5/PqkFbrdbDnIi4aTHsFBhQWLayTRN07CwsIDhcCjUOCZ+nU4HmqbJPA83NHMerFqtolgsCtWAilSj0UiWoxH9TSaTIgXe7/dRKBTgcrlkMSlwwLvf2dmBw+FAMpmUPRoul0v05Hu9Hvr9vhQiXCTI2bnpdCqot5n4nUyz2WxYW1sTP1FlZW02mxSjpGZSeIKxKBqNyrZmAOKrDodD5slILyEVi0tKfT6fiLUw9nHh2ng8ln0bjUYDAIQKyhk2Fie8PsrcWywWOWdNO3mm6zqSySSm0yl0XZf4QJCEOzQIzLHLwNyMogQ8f6vVqnRfOXNGBVHO4YZCIZRKJQyHQyliKQLEvLHVaiEUCqHZbEqBwzOagKHD4RBAhaIFNpsN6XQae3t7p7qTe6oLDYvFgoWFBQl4HBKy2+2o1+vSwmfy5vP5RBqNiRWdhNJ7gUBAKCeDwQB+v19auBxiI92qXC6jVCohEolIgsfAZrPZUK/XUalUAEC2lrKQoSIWESGn0wmv1ysazxxiMgPiyTIuRmMblvrwtVoN2WxW/MDj8Qi/U6WwEIkZDofiVxQYADDjH8FgUBZXMTHjZvFarSYLsni4ciiOPs5uGWeFaJTPZSeNBZHD4UC73T7VAfFxNC6p8nq9qFQqktB3u12hr3DYkbLclOsejUbodDoiPcs4Rh9zu91C/2P3rdVqYTKZIJFIoNVqoVKpSDeXYAzjJmMvCwrGLCoFTSaTGYCHaLbb7Ra6FpVkTDs5pus6Ll68iEgkgkajMbP7idQ6Ju5Uw6OIRSAQAHBvWJszbIZhwO12w+/3S+yiglChUIDH4xHJ+EqlIhvD1Vg1Go3Q7/cF3CGYR4SanVkml1zMSxVKAivlctk8W0+Y6bqOpaUlhEIh2YfBopS5ksPhQCqVkoKVawKY2DebTZRKJVFyJGWKe6TYDaEEMuWYe72enMPValW6uvRH0q/Y5eCzQAo+8052jgnU8Nm4dOkSbty4cWr3u5zaQsNisWBxcVG2ODLpo5Qo1TGI9HEDOKtVdg6IIpOKwmp5PB4jFAphPB5jb29PBty4up5SoVSiYtCllGir1RJKgq7rqFarGI/H0l6bTCbwer2CAE0mE9Ei9/l8QnnIZDJmQDwhRnSCxSaX8vl8PiwsLACAtFh58EUiEaHeBYNBSfC4AM1ms83I4qnKKlRBI+eexQK7ZtVqVZI6UqqYDFoslpmfz4OXhRAPXA6mk9awtraGzc3NUxsQHzdjYet0OmUhGvntjGX1el26FQRWmOTX63X4fD6JLVarVfzGbrdLDCQKx+KUhXM4HJb5MurEE0Rh8snOCU3TNImVNA6ZE+AxDAOdTgfD4RBLS0vY39836XsnxCwWC1ZXV+U+A/e2y+fzeXg8HvErosoul0tQ4EqlItQSDvNSmYc+OplMkMvlpIDmsO14PBYQZjAYyPlZLpelE8vYZrfbhbLHMxyA+BZ9HoCc7ZwDee655/DVr37VjHMnxKxWK9bX10U1jzQodvqbzaYk/4FAAIlEQmLMaDQSOjoLVHbS2DFjvOOuKp6n7JRxMV+73ZaztNVqCUWQ5ygLEgI8nOMlNZACQaRYMebGYjGcO3cON2/ePJVA3qlUnWJ7LZ1OS9LFA3Q8Hs/I3zHhI7eTKDOdjTsH2N2Ix+Pwer2yfZkdBv7Z7XajXq/LMLeu66jX69ImZmVNJIadEgY+cvMnkwmi0agMIZGSNRwOEYvFBGF0Op24e/fuqXTOx8ksFgvOnDkjA6/sTjQaDTSbTaTTaVitVmQyGUHdut2uBEyq9nBpGg9SSomqKiv0F6r7cNgbgIgdkCfq9XoxmUxkCF0d7uagJgMl+fKcKeH+BEo/t9ttxONxGIaBt99+2/S5YzZ2bNlpWlhYQDweF+R2NBqh1+vJkLfH48HS0hK2t7dnqAfpdBqZTEZ8hrNp5NtzXox+RXUfLv6z2+0SPwmMcDaEBzAHdAFIR4RotQoCkQpItDkSiWB1dRWNRgN/9md/ZvrcMZvVasX8/LzELSbiBNQ49F8oFGAYBubn50Xcggpm7HKRtkl/4tnY7/fh9/sFcPP7/Wg2mzIPogJ2pLiQ7sJkkYAJr4m0GHZYiEKzIE+lUoJEX7lyBb1eD1/+8pdRLBbNbtoxm67ruHDhgoiiUJqW8zyNRkMSegCiakfQA4CAF+yo8swjgMYZWZ7NwWBQKKNcYEqxAhYoqlIaqcdUV6NPs5tMnw2FQgAOqNPhcHhG0KXVaiGXy2FnZ+fU+dyp62jouo7FxUUZwPF4PAgEAmg2m+h0OgiFQqJz3O120el0kE6nRU6WxUe73RbqAA9g6nCTakKJM6IqnNtQdx70+31pzXExH1tpTqdTFquRB88Km0UH3xPl+DgERdk2IpVvvfXWqXPOx8WsVivOnTsnQYbBivJ38XgcPp8Pe3t7wiNmwcjki0k9hxF5iLLoLZVKCIfDIpFntVplxohD5ixeh8OhLJPsdDpSJDOwqosh6Xs8yAGI37GT4fP5oOs6wuGw0LUSiQRyuZzpc8dknAMiR50dWQBIJBKi1a7O2hSLRRQKBaRSKVitVikOyJknFZSHJLtq6mFMVJkKQuqCLMZb+gw15ZnYUTZZ7ZyRt0yEkLGN1JurV69iMpng1q1bSKVSyGQyps8dk+m6jrW1NekoMN5xxoEzYJVKRQAQdifsdjt8Pp8s42PRWi6XZ+bG6A/sQvD7+Dv6/T46nY50dwnuUQqXiDQXpFESlwAMBQfI4WfhU6vV4PV6cf78eQSDQezu7qLf7yMajaJcLps+d0zGOMezi+cV44yqLMZ5srNnz0oB4Pf7USgUEIlEpKOhdqnoN+w+cI6WhQQVGW022wwllf4EQFgu7LBQNp7MBCr+kTJPX+v3+9Ktq9VqaLfbp7awPVWFhsViwfr6uugm8wbzwGU1OTc3B5vNhr29Pdy8eRP9fh+xWAzRaFQ2SbJrwZkKVqY+n09UXQBIB2Jvbw9utxvAwTAk5dHY6iMFiw8HB5KYdE4mExmm5AKsfr8vXEFN0+Shmk6n8Hq9sp2y1WohGAwKz9q0D8+IKvv9fulQpFIp5PN5UZNQN71z4N/r9co+FxYlqqIPD152ODRNE+lP+hyVL5jMdTodac8SYUkmkwAg38cg6/P5hDNvsViEn6oWysDB7FA0GoXNZkM4HIbT6UShUMBkMkE8Hke5XDZR5g/ZGOfC4TC8Xi8ymYzMhWUyGdhsNlkwSuUUTdNw7tw5ABCQZTAYoFwuC5eYhQRjJn1yMpnIjBCLFrb+mdQBkI4Y5cNJh+G/Y/LIhJMx0GazoVAoCL3A7/cjkUgglUrB7Xbjtddew97enuyeoTqaaR+e6bqOy5cvi9oTE6hAICD7WIrFomxettls0v3n91utVknaSR8BILszGCM520PBAvVek9rE7gZVo8jbVzeFE7jhDJDL5ZIClmIEwMGOj2AwiFgshnA4jEqlgnq9jkgkIs9Cs9n8kD9x06xWKy5evIh2u41ms4loNCpLQ2OxGHq9HjqdDiKRiHRgqSTFzhXPPHbvSRvlLKSq6klRForxUA10MBggn8/LrA/9hl0RLtwloMLuBYsjzgqRZmW1WhGJRISlUC6XpdPCa+a80WmJc6em0LBYLEilUhJUKAPLjkE8HkcymZR2vt1uRzqdRr/fR7FYxN7enrRhubSPrft6vS4SeeTs6bouA+aqOo86RMSiotFoCEWKUoDj8Vjay0T4WEzQydWla5w1YVuYQ06s0MPhMPx+P/b29k6Nc5500zRNdg2oMz2kwXGQjMgHD8NqtYpyuYy5uTlBk4kwO51OLCwsiMQnaU7q3gMupyLyoUrZklLA9jJnQhj8WMiQ3kdT93uQ10yfazQaCIfDwptWhz3NzsaHa5qmSXwKh8OCwo3HY0QiEaHJsVBg279Wq8lhaRgGEokEvF4vSqUSlpaWEA6Hsb+/j1qtBqvVKjQ+taPhdDrhdDrRaDSkC9Fut4XmQk48i2lymVl8UPGFvk3Jbs5iHNaedzgcKBaL8n6oehWNRrG7u2vGuQ/JuORR0zREo1HpIJD+oe6FIn2O5yUpxo1GA6urqzh37hz29vawtraGtbU13LhxQ+TgGbt4JrJDwkKFMY9nJf+s+imBO577HAjmmcnimfRUouRerxeRSAS9Xg+7u7toNpuScBKoVGOuaY/WLBYL0uk0vF6vLDJm4djtdkUwhWp40+kU2WwWgUAAg8FAZGvPnDkj9LkLFy7A6/Xi7t27UnSwkCCToFwuCyOAuR0ZKQT0uGuI5yUlcSmkwXkgnv/q3KO6E4bKpwCEos8uiNPpxNLSEjY2Nk4FkHcqCg1d13HmzBkYhiFJGwccuWCFzpNIJLC3tyeSiz6fT2TI3G63LAIiRenu3bsytMMBIi5CUyVxh8MhwuGwHNDqYiwuaVF3FrDSJtLDn8NASKSGxQcAmengcBMrcrfbLaodT4JU2kkwXdcRj8cBHARFNdFim59DkSp9hcONuVxOeMlEReLxOEqlEnZ2dqTFT/6x3W5HJBKRLhsVhvx+v3Q+uOCKwYqdFAZRXdelhUw6FYCZzgmTNxZHlUpF/I0oIhcU8ftWVlaE92/aozMuDSUNiUmf3+8XEIPdTlIASB3hAU2VH/rdpUuXMB6PZxJ3HuAcJmdRyQOVtBR2M9gJI2dfHaxlojedTlGr1aSAoHABu3fs1losFpRKJRSLRVlyReAIgPw/VVrMOPdojVTkWq2GWq2GWCwm3XMaEyl1Q7PFYhEaSCaTkU7r3NwcgsGg+CYpyoyh7KARLSaAR1oof85oNJLhbp6/3AtESXDGM8ZRdb5DXSzIXRvsnmSzWXi9XjnDGU/Z7TDt0Rr3nhHM5ULRXC4Hi8WCSCQyM/dDipzX68VwOMTu7q58LRQKCQDY7XZFtICxS+2mUfyEHVz6C2Onz+eTGEe1PgAyNM5znJ041XdYZJB6RRDR7XYLBZ9nNGeM3W43lpeXsbW19difrY99oaHrOtLptMjDqltqqZe9vLw8szPD6/UKAkLkmfxgj8eDcDgsfFEu3iOvXeWcUo6WwYx0AQZH7udgome324ULz6TQMAxBjjkgp+qQM2Hk7wcgD0MoFBL0yOVyIRaLCbUrn8+b6MsjMl3Xcf78edFpb7VaaDQacDgcCIVC0n61Wq0IBAKYn58XuhH9j/LHPNxYLKp0OBYC6sA4kRyielTT4MHJgoNFqdvtls3QwL3OBTts9EsV9WOyyMDH4oaKLmwLdzodxGIxhEIhaJqGzc1N0+cekem6jvX1dbmXdrsd2WwWyWRStN7Z7aJIQC6Xkw4FC1IWBqRMxeNxAS1IReABy+21KgefOzl4qLNrAkDoNCys2d2gvwGYmdtQd7MQiGF87ff7sguB8Y5+7Xa7EYvFsLq6irt375o+94iM1BWCFR6PR6jFqkwnfSIQCKBQKEhi5XA4EAwGsb+/L93QbDaLWCyG/f19QY/5s0j1o9EXONBLzjyTLkq/E0TUNE1odaPRSOIhi1ECg2oRw5kP8ubJ/WcewVhLag2LE9MejVmtVjz77LMyszWdTrG7uyvzgbVaTTppnE8tFAooFovigwSWB4MBdnZ2pDtfrVblvlL2mJ0tgioAZgC+YDAoS5cJOJMOxbijMgb4Z4qwcPEkz1X6I3fCtNttmelwOBxIJBKSP5ZKJfj9fly4cOGxV6N6rAsNSp55vV7ZkQFApMV6vR7m5uZkB8Vbb72FbDaLaDQq31uv1xEMBnHlyhUUi0UZvmUFzIKEnQcmYSwWiO6xsGH1SyMCR21uFgzcFM3Cgk7OrgZbceTtM0llYaN+P1vMvV4PhUIBbrcbzz77LF555RVTnu+IzWaz4amnnhKuMBN+4OAgY8s9GAzC5/Nhd3dXugEq75IceqpSLS4uynAkURDy4JmYcTMz/VDdGE/1Dar1EH3mDAV3E/R6PQm2AITnDNxToQIw07HjYDAPcSI2LII3Njag6zpSqZR0akw7OqPqSiAQkPmZRqMhNLhYLCZFonq/qJCSyWQA3NtWn0wmJWEk/5lLHZmkhUIhOeh7vZ7QTth5IDDCzgWTOo/HI/7ldrsFAGJXRY1dh+l/lMFVN4QzCfX7/ZIEBoNBZLNZ9Ho9rK+vY2Njw/S5Izar1Yrnn38eAKSjQNChUChIZ4MdKfLmOc9A2jFVGJPJJCaTifx7dq9ICeW8GUE7GgEW/plnLzsW/F5VQIPPAQtgfp1CA1wMyASTcdUwDCk8uHeGtGW/3z+j4mfGuaM3ij+EQiGJc9xzUa/XZa6R0tnnz58XCrnX60Wj0UA6nYbb7cbu7q50pdQ9GqSxs8DgfWcnjfQnnumkwxP84LlK2WaCN+zksYsLQP7MNQUqFZrdMoLQhmEgEAjIGdpqtUTtsdlsYmlpCTs7O49tsfHYFho2mw0vvPACgsEghsOhSNhRlpNBsNPpYGdnBx6PBz6fD6FQaEZrfjQaIZ/Py9bw4XCIarUqAYyHr6q8QudQaVGUOFOHvXmQst1GapbP54PX60U+n5+RGGUXhQUGALlWfp2FhsovpNOS47+2toZoNIp2u423337bRPyOyOx2O1588UWEw2FkMhlks1mh6VGms9vtYm9vD61WS2guXHbHQ47LHlk4hkIhbG5uSnHRbDalIOVgmLrDRU3C2JGgEgwASdjII2XSyeE2FkekA6oqU+omctUHVfSGB7yu68jn83C5XIjH4yK2kM1mTZ87IrPZbPjoRz8qtDxy3nkf1Q5rKBRCMBhEv9+HruvSPQsEAuh2uwiHw9IdYAFQr9dRrVZntjiruwxYuKhbcOlfpM8RXGGcBCAFMItcp9MpA+UAJM6xo6GizgRbgIOClwPFpFJ1Oh0UCgUsLy9jeXkZvV4P2WzWTPyOyKxWKy5fvizJmzqDyM4Bz1rSoaj84/f7kUqlRFKZW+MDgYBs+x6Px9Ll4NnHuUeVvsnigTtf1PgH3JOnZ3dVPUM9Ho/8LnVWSN3aTOU0tfAFMAPqqbQXDr9TSKNQKBzD3Tmdpus6nnrqKbhcLhmuJiWU8UPXdUSjUQQCAdnfMxwOBTQm/d3r9YoKH0UnOBtJX+NiUd5/+g07sARTuPOF8408O+/ni2r8aTab0vkjtZTnMGeKgHub6amAtrm5KSASFw9qmoZUKgWn04mbN28+lnHusSw0qIDBIMZEvlqtSpCo1+sSHNfW1tDpdLCxsSHFBnDvJlcqFezs7MDr9cLn80nFS5WKSqWCRqMhsosAZNcFnUk9KOl8dFgAovPNClkdHmI3AoBwl3kNquoGB9f4ferGXLYDFxcX4XA48Nprr6Hf72N9fR2bm5uPbSV8UsxqteLatWvw+XzweDyIRqOCkrAQLJfLM3K1TPgoDRsIBGS2YmNjA/Pz82g2mwiHw/D5fMKL586KWq0miRcLSnVQm2pVHFxTi1Z2RVSFGBY93HtAWh+NB7NKTThs7BbSfD4f0uk0/H6/KFutra1ha2vL9LkPaFarFZ/4xCcQj8fRbrfRbrfFp4jucSAbuLdfhfNiRPPYqi+XyyJVHAwG4Xa7US6XBXxh4q9u2SWaDNyb5QEgtFDgXqeEBQIPYkotM5Z5vV6ZJVMBEx7Yh9Fs2mg0kmKIKHUikUAymUSxWEQqlcLq6iq+9KUvmT73Ac1ms+G7v/u7hcoxHA6Rz+dl+R6VEvn/vOfpdBqvv/66DGEHAgFks1mh1g0GA6RSKaGExmIxVKvVmf0+RJXVQVsVhGNM6/V6MyAKCwEWJN1udwYY5JnMs5tACXd+HC5u1QSUO14ajQZSqZQoprHrZyo9fnCz2+34xCc+Aa/XKwI+HIgG7smsd7tdEYqIRCKYm5vD3bt3BZhLJBIol8tCk/f7/QiHw2i328hms0KHUucneO/UWVgA0hWmrC2/xkKVHREAMwv+gHud2ul0Kt0XFugsHFSf4fwZZzUAiAxuLBbD4uIims0mJpMJkskk8vn8Y+dzj12hoWkazpw5g2AwCMMwUCqV4PF4AEC6C2yBMjHnLgu32y3LzUajkRyE7ECwXcXFPTabDbFYTPTieTDS2cgfJp2ARQHbbhw8YqKoInpEd6iucdhIH+B7pmMzuKpdDxoTzs3NTezt7clw+vr6Ou7cufPYOedJMRYZHLBVeb4+nw/dbhe1Wk3odtFoFM888wz6/T5eeeUV4RV3Oh3kcjlRmtjd3ZU5C3Yt3G43wuEwCoUCyuUyAIhqC5EVotlMDkkJoKnJlopCs1BWlV34XuizKu3vnUylXVHbnupWfr8f0WgUw+EQe3t7ZmfjfZrVasUzzzwjcSidTguif7jlTjrJaDRCNptFqVTCtWvXMD8/L7Q6i8WCGzduYDqdIpVKiQ84nU5Mp1OR8iR1T9d1AVMAzBS5LFDVZJDxjHti1EJX5SczBqkFB7/nnXyFND3gIOaye8iN5xwMTSaTZjftA5jVasVzzz2HRCIhZ1YymZQleAAkzrCb3u12UalUhBoXCoWQyWQEcCgWi/B4PJhMJtIB5sKzWCyGbrcrkre8byxgaaqvqx0z+hVw74wk177Vasm/Z4xjYqh2TNSlbSpAyK4NpcJjsRh0Xcfdu3fFH5eWlpBOp/HWW2+ZFOX3aTabDd/+7d8uw9/JZBKlUknmxgjOApCu0mAwwNbWluwlq9frAsDYbDYB71iU0k+Y37lcLlFFA+4VnlzqpxrzLpWmp+7FAA5iUrfbnTlL+Wf+P58b9evMDdmNU+OrpmlSKNXrdTQaDemukEb1OOVzj1WhweBFpRWLxYJGoyHayXNzc5hOp5LgcLiLCT2HyTY2NgBA+Mk+nw/xeByNRkMWnXGJTzQaxeLiogyqkc8J3FtsxkMUwIxjUaqWnFHVidlGI1J92NjhoFPyd6ndDfXfMQCXy2UZLopEIgAODuqFhQWp6k17cLNarfj4xz8ue0t4wCWTSSk0JpODhWKkijQaDRnUJVpM5IuJHBFfHo6q8EC9Xoff78f8/DyKxaK0fNXDUF2qRvqTSjug3zChJNrH1jGAGeRQPYgf1IgCFotF9Ho9ae/u7OzA7/fjmWeewcsvv/xYBcSTYFarFd/yLd8iuvFEVNn9JGJMulyr1YLT6cTi4qL4FpWbKFbAXQFUoWq1WkK9Y2eXVBcmme903+iLKgIIQAphqg6R18zDU/15agHyIKbOckwmE1ERYkfaMAwRJjC31j+8WSwWXLp0STjhAIQSHAqF5BwjZYRgHZMh3vdQKCSJH7tW/X4fpVIJw+FQKFTkvZPip55vKgBCQIVxl9eqxirOpVGc471M9UN2Sg6fwYzP3W5XhoEpdqHrOkKhkLzcbje+8pWvmHHuIc1qteI7vuM7EAwG0W634Xa74XQ6JS5xyTIAeL1eWeTIjlW73UY4HAZwoEjFIpZU4u3tbZlltNvtAtjRd9QuGucgWdSoMzvM1fh3/Pmkrqo5nCoOpPqUyj4BMFO40G8Ygx0Oh+yC29raEvZLv99HJBJBIpGA3+/Hm2+++dj43GNTaGiahrNnzyIQCAjViCiG2+0WygpVVUinIgeY6ix0pF6vh2KxKAO1oVBIJG3Ji9c0DbVaDX6/H6FQSLaY8oAkFeVw4CJX+X7DbTS2iFXllXd634cPafVrqrPS+SeTiWwe54O6srKC9fV1/Omf/ql5CD+gWSwWXL58WRA9+gkPWKotkRfKxJ5zP6FQCEtLS0Jb2d7eRj6fF0Uf6oTXajWR8CyXy6hWq6JHD2DmHqsBSv2aOgTMP/NrpBYA9xZeGYbxnkneO/kdjTKo3DnDJZO6rsPv98PtduPixYtm4vcQRq4yaSmkhnIWZnV1FcPhENlsFp1ORwZXOafGWKIOU/Z6PVSrVRmapK9SlKLf76Ner8tuBFKy1ARM9QPGUBUZZsJIBR8ezDQCI0SK79fFfRBT5z44l+bxeGQ42el0wmKx4Pr164/NIXzcpus6rl69KjtMotEoqtWqnC/kwQeDQVEy4+4WJnG6rqNYLAr1pdPpCL2XHd1gMCgStC6XC+VyGbFYTLq0jDeapkkyx8KG18KvE1RhkkhayuE4w7k3dcZNjWuMgUw0VXlSJngEUzhXpwJMzBdWV1exublp+twDmq7rePbZZxGLxRCJRIRSxCLW6XSiXq8DgJyP7KT6fD6Ew2EsLS3Jos9qtSosFs5mNJtNUV70eDwCNDNvY5EB4B3PJxYMpOGxo8pdaCoIzJ9DAOZw0UxT5znUri//HVk5PFs530aRGVK1UqkU9vf3H4sO7mNTaFBxpN/vC5JgGAZqtRp6vZ4sDWI1yBYaaQbdbhd2ux0+nw+9Xk+QsVqtJhry7JKQS88Nz3fv3pVFeypnGcDMACSNiZ7dbgfwjVQWOi8d+N3s8JARAJHtpXIGAJlHqdVqsswrk8lgOp0iHA5Ld2VhYQGZTMZM/B7A/H6/JGWGcbDXJJFIADhQK6OMHqWFg8GgtPlZbDidTgSDQQAH9568ZP5/LBaT73e73VhfX0epVJLBbfJUieKq9+2wTjznitQBR/5bqvc8zIbbBzk0+bvsdjtarRbsdrsc0rFYDBcvXkQ6ncb//b//1/S5BzAO2HJWgoOApFIahiGLH3u9nnR00+m0tOfPnDkDq9WKaDQq+w82NjaE50sUNpfLAYAcutzTQZqBSqljMUFfItjCw9ZiscwkBCrgwsOfhy4P48OoH01NBO+HNDKp5KAo3w8HeD0eD65cuWJSWh7QuKWYA/3sfnGQ1uFwyP4IKi2qiG65XEYwGJQOLHdVURDFYrFgaWkJFosFlUpF7q/T6cRgMJC9Gu12W/yCcZT3737nLnCvM6Yu31O7HWqhfLhoVkE+Jm/sCPJ7+V5ZGDO/ILDHLmMwGDSLjYewaDSKdDoNq9WKYDCIdDqN3d1dGbrmwP1gMEC9XkcmkxGKscvlQjAYlM6p0+lENBrFzs4OSqUS2u22dHg1TZPCdzqdCgWu0WigWCx+w3Vpmia7ohhPVX/gecd4pALPwCyAx+/hn+8X69QYS5+nOhVn3wgEzc/PC7jJbm4oFPqGbslJtMei0PB4PFhcXJxZqkLEnluOKT1nsVikCGF17PP5RGGCCTf5f6QfdDod9Ho94ReTvpJIJGSpimEYMsPBn89W2ng8nhngBu45DnCPK68mW4cHcR/UWTgAevgQ5RCSxWJBoVBAv99HIBCApmnC8V9fX0coFMIbb7xhBsR3Ma/XiytXrsDhcEgwpCb26uqqKF6QN59OpyWRJ5fS4XBIQBgOhzJETtUpUgiI5lFlam5uTqRpuREVOJjr4QzFYSoVEWWiezQiJqTi3c8PP4gR6SEazlkm0sw4DH/58uXHqtV7HOZyuTA/Pw8AMlPG/RJnzpyZ2SZrs9mQTCYFuGg0GnL/1a3eRItVuc5KpSKILO8defkApJBQJURVkQBVmICmFsEsDoB7g5zq/x9OGg/b4SKZP5P+zrhLeihpBVR942czGo0eW5WWD8ucTidWV1elCz4cDtFoNBCJRBAOh2X2LBaLCW2YQ9AUxmAXPRqNyixarVbD3bt3Ua1WJRknqBIOh9Hr9aQTR3CEPsWkkMazkbGE3wtgpghlJ+R+8z7q99HohyqFBsB9/ZoKk1Sm9Hq9shWdswKj0Qhzc3Om9O17WDAYxFNPPSWzsNlsFk6nE8vLy8jn87Ltm4IBpAyxmzGdHixVZNxSgWQCNBQHSKfTQqur1WqSM7KgYXxU582Yv/GcJJOABbIqeMHuyP0ADTX345/vl+Mdnh1S98cwB/B6vUgkEhI/CTTpuo5YLIZyuXyife7EFxputxsrKyuSjIXDYTlQfT4fkskkqtWqJIMcuubQD5E1og/U2S6VSlI12+12UcYgh48Sihw8pNoGOe6HD04e4odbZI/C1KqZzs8KmPxGygKSWjY3NweXyyVDS4uLi2Zn4x3M4/EIkuB0OtHtduF0OhGJRCSYcR4hEAhIUGNnq16vQ9d1+RqDpdVqxaVLl2SXBQMVD9bhcIitrS1ZOgTco8RRh1u1w77Gr9+Pb0yk7/DXHqbAvZ9pmoZIJIJAICC0ibm5OdErdzgc6PV6sNvtOHPmDDY2NkyU+T7m9/uxvr4uyYzNZhN5Wj7DjG/dbhej0QiVSgWpVGpmDmNubg6GYWBzcxPNZlOoMAAk4WNxGIlEhAtNH6bSEBM2dUBSnU07TItSUTzGGRYG71VYPIgd9hmXyyWDvIz3pLZaLBZks1kMh0Osra2ZqnvvYKFQCAsLC4LIh8NheDwe8S9ywanOBBwUwFQ0Y+eVnV8WJUzoOCNIHjvpp41GQxQdCbAwceIeK4oJEFw83Gk4bCxmKTJwP7tfXOTfv5uPqjNJBIcikQisVqtQXRuNBuLxOLxeL9bW1vAXf/EXDz3z9iRYIBDA8vKyAMbsgm9ubmJhYQGhUOgbhvGpashzkl3+Uqkk56LH48HCwgJ2dnbgcrkkdhUKBdkizwSetKNWq4VarSbsFhpjjUpdVju3h4GQ9zo/78dceafiBICIdzD2kv7VarWETtXr9URWn5Tar371qye22DjRhYbdbsfc3Jz8mXsxNE1DNpuFpmnSQuNh7PP5ZKCWOw6oFEVk3+VyIZVKCdLX7/dRLBalUlR5ggySRPFU1Qwe2OPxvU3K73aj3+2wey9nJVJ92DnVFnI8HheVLW6ljsfjWF5ehs/nw82bN6VAS6VSWFpawpe//GUz8VPM5/PhypUrshQtGAzC6/XKnAbbl5zTIKLK4TO32y0DtSx0idTRTyhh2+l0ZEBfRX4ZEIk4R6NRTCYHS6L4uwDIHNI7UVAACFKnHtLq96qUlPdjTIo5C+D1eoVKxUVL0+mBVOqVK1dw7do1/M7v/M6RJJ+nxbiLAIAUFrxvbJszgff5fLI8zGq1yvI0+iLRO3YjODhO5FmdyWCXi9vAWYQ4HA7xRxa6qn+QcsLv8Xq9QvUD8K6D5DSVQvp+zG63SzHOGE8pXXL15+bmEIvFcP78efzRH/2Rmfgp5vF4cP78eZnhI+ihqjBRkpiFJJXJOLDqdDrRarXQ7/cFfQUgKo9LS0uSUHGzMgtafh8A+X+KvFCmngUHgPvGrvvZo6SQcBiZnedisSizaSsrK0gmk4hEIiIh/cUvftEscBULh8O4du3ajHgDZ1ypEMVFj+zKErBgIatpmgyMA8DOzg4GgwHC4TDW19dlno1gHwE2shHcbrf4KmnRlJI9HB8O+9JhGVvgG+ct7ud/h2Ph4c4a/06l7xHw4VnKc59dbDJyLJaDBaYWiwWRSGRGTesk2YktNCgtS3lHUpTI+QSAfD4vmxfZ/vL7/VhZWUGlUsH+/j7K5TLW1tZkUDCXy0mgtFqtIstJ9JVLUjhQztaaruvSTh4MBsK1Jw2GCR+dSKUL8P8fptpU5c+Ady9S+HmxMo/H47JAzel0Ih6PYzQaYWVlBU6nUziLgUAA3/Zt34b/9//+n3kIA3JgjMdjBINB2dpN+hkLVqIonLHg3gKiKBQCYNFnt9sRCASQy+XQbreRz+cRCASkgOXvHgwGordNOqDL5UIgEJhBVRqNhiR2D3qwvtP3fVAEhFSCyeRAS5+oXiwWQ6PRkITE7/eLYty3f/u34/Of//yJ55V+GEYwhQOLnKVhB5WUjHg8LgVjNBqFYRhIpVJCFWAHhAkdC+F6vS6gDAAZDFfVfrgsioo93AvE4oVL/VgcciiWB6GqxMeO7zuZioyran0PYxzI7Pf7SCQSop9Pjj5j3uLiItxuN5rNJr71W78Vf/zHf2wmfji4v4uLizMDpqSdMQb5/X4B1xwOBxYXF4WywsKXPkuWQK1WEwVHdtUdDgdarZZ0M8ixn0wmWFhYEHVHn883U2js7OzIrh/eM6LcFotlZqs8C9YPWrzez5j8uVwu2QPDLm0wGBRKzdLSEhYWFuD1elEul5FIJHDlyhW89tprR3Ytj7M5HA7Mz8/D4XAITXMyOdi6zvlS/pcofSKRwPLyMnK5nKgvOZ1OJBIJLC4uolQqoVwuC9uF/kZq+WQykXkP/nz6zng8ht/vx9LSEgaDAe7cuYNcLveuwjzqDiEuiXxYU4G9wzmhKrPMPEJ9xpaXl5FIJFAqlWSOKpFIwGKx4OWXXxbmCmfvTpKdyELDZrMhHo/L0B8djwcwgxI5m+TvEVXlsFCn08H+/j7u3LkjyB63SLLNy84E1arcbjeWl5dRKpXQ7/eFqsVig4g123Mul0uUNYjkEPVROxwP2zVQOaMPYkwCSGOhrG8ymUQsFsNgMIDH40GpVEI2m4XD4cD6+jo8Hg9qtdqJbrt9GGaz2eD3+yVIUaWkWCxKIIvFYvB4PDLsvLOzA4vFgrNnzwpH+c6dO6jVasJxp557IBCY6VhkMhkpkh0OB2KxmAyBcUiSCRvbyWwldzod3L17974qKx+mEY0aDoeYn5+XQoLD71yiRIpZIBBAJpNBpVLBxYsXcfPmzSc68WPSRSEAJvtEfVOpFIB7czacFaPYA3nit27dkgRrcXERXq8X7XZb9hOUy2Xp8FJSmzGTQA7Ra+DefgGCO9FoFJlMBrlcTroVapdDTeyonPJe9/V+mvUPapPJBM1mEwsLC0IVczqdCIVC8Pl8iEaj8Pl8ACDzeLquI51OP3b680dtNpsNqVQKw+FQzqpyuSxdfnXjN4u5ZrOJaDQqcvGcESJAR0CLwAdFVur1utBAON/IWQfOg9hsNqEE0h/m5+eh6zo2NzclYQTuFbEqcqwCcocVqdTveT++pia9jHXJZFJASkrvrq6uYmFhAS6XS2bueL2RSETkyZ9U45brbreLvb09JJNJUdUrFovw+/3w+/1CWSZgyz8HAgEZHp9MJigUCrBYLLKzaXd3VyhQLDzYESDljgVHsVhEp9OB0+lEo9GAYRhwu924cOECPB4P3n777Xel6AH3linTHoYVoM4WHf77wWAws1eIMyIejwfhcFiKCgKha2trsNlseP3112G1WpFMJtHtdtHpdB5K9OXDsBNXaGjawdZjUoXI1wsGg/D5fEJtYmejUChgMpngzJkzMijGVm40GhWJx06nI9KO/X4fjUZD0Bu25CwWC7a3t1EoFAAcSOKyLcWW/HA4RCqVkgSKHL2dnR188YtflCFyyp89DMLyIF2PdwqaTD78fr9wTpeWlhAIBFAul2UIvlqtYjqd4syZMzh37hzu3r0Ln8+HZ599Fi+//PITSaOy2+1YXFwUpR2bzYZ6vY5EIiEHhcViQafTkYWPgUBA5IOpQEVOfaPREHoJVS6m06kUKaRh0Q97vR5arZZsnSU3mkkhldAYbCaTCS5duoS33noLN27cuC8K80FnLx7ESInweDyIRCKSMDudTtlq6vP5pCvU7XZRKBQQCAQwPz8Pl8uFl19++Yk8hMl152bsQqGAZDIpBxjVVjhzQLUem82GarUqsreRSES445VKRQZSfT6fzJIRxQOAarUK4J56CsUK4vG4IGfNZlO47kzcFxcXsb29jZ2dHaHIcOaHHeb3OqCB+9MR3k/M4exJr9eDx+PBhQsXZp6X/f19AaTG4zGy2axIab7yyitPZLGh6zrC4bD4Rq/Xw+LiIgAIJ5wxStM0JBIJEZKo1WoIBoNIJpMyME5hCeAeOFgoFNDtdpHP5wWAKxaLcp6T+sHzmEtma7WaJH7BYFDk5vf394XGqtIt6XOH/YmouDqP9n5joWEYIvpht9tlLxK7fVQatNvtkuBy+zjjPAuTXC73RMY5FrALCwuYTqei8kl0noPctVpN8jdS0xgfc7mcdIlUJahGo4FAICDiKc1mE71eT9gso9EIS0tLArSORiMpWggQM5aurKwglUohGAxie3sb1Wp1pmsG3BO5OLzUll2tD0IHPixI4HQ6pTDnILjP50O5XBbZ/PF4jNu3bwMA5ubmRGCBO75OUoF7ogoNzhWQQsCZBO4mIEe50WgIckE6Vb1eRzKZFB1/j8cjeyyIuhCZttvtWF1dRblcxu3bt6XVxJkM7ujg/EUoFBKeIGkiwD2esdVqxdLSEi5fvozr16+j3W7D5XLB4/GI1v2D3PD7HX7vVXwQdQmFQgiHw4hGo7BarUilUggEAjKYpx66kUgE58+fl2GsYDCIYDCIVqv1RKq0cDCNLVZyzpvNJtbX1xEMBqXrNRwOkcvlZmaC2PnSdV2SMFWelp8tO2HslnAPBZUuKpWKFMKkXlHhJRgMIhqNCho0Pz8vg5zXr1+XNi7VMNQ27FF9RupAOZHuYDAohXcwGMTS0pJo6HMImWIFHGCjlCYpBzs7OycmIH4YpmmaKPYQXWM8Y+eWhyYpUdwPQYoAaUOhUAi3bt1CJpOB1+uVbhlpT0zEg8EgyuWydM0YJ5PJpHRKeG9ZuDgcDqytreHKlSsIBoOo1+u4desWPv/5z6NUKqFSqUh8BSBdjvtxkIkIH44tD9PR0jRNpM3j8Tii0Sg8Hg+Wlpbg8Xhw8+ZN6dA4HA6Z4ahUKrLDoVarSVx80owoPOmcBDoikYjM/DDZ584Vn8+HWCwGh8OByWQikqGvvfYaKpWKdMcYy1qtFrrdrsynEWkej8eo1+solUpCp/R6vbDZbAiHwwgEArJfJRgM4urVq/D7/SgWi3j99dfxpS99CVtbWyKNrMp6qz50v2Tvg55nfF75eYRCIaRSKfj9fpTLZdy8eROj0QixWAzz8/OyJZ3UMHaNnrS5NF3Xsbi4KNRfCgSQck6KI6lIBHW5m6Tf7yMajWJ1dRXj8RiNRgOlUgm9Xg/hcBiRSESYJO12G61WC/v7+6hWq+KDd+/elQXODocDfr8f8XhcWASMvS6XC1evXsULL7yAu3fv4k/+5E/w9a9/faaoUCl87DoAD89WOWzqz+N1xmIxjMdj6UyQodNqtbCwsIBKpSLS5mQ5UHo8FApJnpHP5z/QtR2VnZhCg/xLVTmChQQA0XaPxWKiekGeHxFU8jep3MIlQxsbG6JeEY/HpRBxOBzCRy0Wi0KT4WHZbDZnDsfhcCj64plMRh4SooMrKyvw+Xy4ceOGyK8dxeei2uFB3mg0isuXLyMQCEii7Ha7kUgk5HrX1tZECYbUsul0KprfTqcTxWIR4XAYFy5cwI0bN56IxI8HCGlODDjkOlYqFZTLZTgcDqGgDYdDmeEZDAYylEYkRt1GTwUWzncAEGlmBkk16SNCSEoeURtSEba2ttBsNgWFnkwm+NjHPga/34/bt2+jWCyK1Cdbx0fVoSKaThnM9fV1SVBWV1el4BiNRqjVakilUkgmk4KqT6dTQS+bzSZKpZIkKdy6+yQUuJqmIRAICJ+YOwpYJFCph88p530ikQjcbjfq9bocxqRDxWIx6capC6tIzdN1XbaC1+t1AVBGoxFKpRI8Ho8gaBzUJP3UMAxsbGxIIhgOh/H888/j1VdfhaZpMwXKu3Hk30md5WHijMvlQjqdxsLCAqLRKJaXl7G0tIRms4lisYjV1VXMzc3JsjkOmEYiEYlxnAfgs/UkGAsM7lbhmcVlopwFYjLIrgVwj8LLrdukVFH5p1wuC/OACLPf70c2mxVFJgoMTCYTtFot1Ot1Uc6Jx+MST5PJpHSROZ/h8/mwtrYmBdD29rYMrgPvDsQRJb5fR4P+8V4xh4DK3Nwc1tbWEAqFZBs6P1si5NzD1Ww2hZ6Wz+dRLBZn9nc9CcbiodVqiZoZQVuqJRGEjcViQk/zeDwwDEOKCu7YsNls+MIXvoBcLidAndfrFdEAr9c7Ayx7vV74/X5JwlWZYsZRt9sty3bj8TgAyMD1008/jXa7je3tbYmtpNDfT73xgxgLZuCg0726ugq73Y5qtYqlpSWcP38eiUQChUIB0+lUAJWVlRV0Oh3s7e2h1+theXkZo9FIKGPvdynqo7ATUWjw5uu6Lmop1I/nEqhGoyHr4OmU6tKnRqMh9BQWAz6fD4uLi1Lhsnhht4R6/5PJwQZe0oyIblNlg/KmhmEIylitVlEul2Ujeb1en0FyxuMxKpXKB070VLSGiR6Do8fjwQsvvIArV65IgkoE0+fzYX5+HufPn4emaSiXy2i1Wkgmk5hOp3j55ZcBHAwG7u7uyibNTCbzDYPsp9GI0DPwa5omSg71eh2hUAjz8/OC7tXrdeEpAwfcb/KXw+Gw+C0llCm5nEqlBK1gS7Ner8PhcAilz2azyWwDEZZSqSSBNBgMwuPxYDKZSAvZ5XIhn8/PDFWyfU9feJDEXd158G6fFTsw8Xgczz33HK5duybPDruEpNqcOXMGDocDAGa6FdSbJ6KaSCSENvakoMwcktV1HblcDn6/H4FAAMPhUFRsiL7zOQaAVqslswcqL57t8qWlJekasaPEbuXy8jKazaag/ZR7JajCOQYWzQBkSFilBPBAXF5eRjgcxhe/+EWJu+rBq/6ZwM8HEZugSMeVK1ewvr4Ot9uNQCCASCSCTCaDcrmMxcVFrKysCBLabDal8Ke0Ks8PindEIhFZRHdajbNlapeMs2jAQaJMDr0qmc6FsCw0SIPsdDoiOUpQhr5ltVqlwA2FQuJ/jUZDzl925ahABUB8fDQa4dlnn5XusCrQQsW0druNdrsty3Ppa6oCH+29ksH7dd7Ur/n9fly8eBGLi4uIRCKIRqMzs0VutxvpdBqrq6tCGet0OrLU9Y033sD29rbEyVarJV2b026RSEQkaUklNgxDknZ2UikywbOAlHjDMNBut1Gv1+F0OhEOh3Hu3DnUarUZ0Isxi6I94/EYxWIRjUZD9m5wXQFpmvl8Ht1uF9FoFH6/X6hdNK/Xi2/6pm9CKBTCl7/8Zbz88svi16Slv5/86EEofIz7drsdy8vLSKVS4nekui4vL2Nubk4+H7vdLt1rFvZ7e3toNpsfCoX6QexEFBrkVBI5ZjFBNQzORvAAGQwGcDqd0sHgkDeHxwuFgvD/qIBDpRUGKKfTKYcSVYX4M4vFIjwej1TfbG11u1202235/lwuJ8UEHZjJ0vvl7KmoIAMtUWEqE7G9/IlPfAJ/62/9LXGySqUinZ3Lly/j3LlzaDQauHXrlgwoO51OXL9+XR7uarWKZrOJRqOB/f19NJtN+VxPsxIV0V6qO9B/hsOh0HqonsLB2Wq1ivn5eeGF8tDkYjTS0+bn5zGdTqWg4JCgYRiIx+Mi4UdaQTable7Z/Py8zGiQh8ykiMNsu7u7UoRnMhnUajUpWh7W7ie9pyJ9VF0hv/pjH/sY/sbf+Bs4d+4cOp0ONjY20G63AQALCwtYWVmR4qxcLiOTyQjVkUFxbm4OnU4HpVJJNrnymecswWm2brcLn88Hi8WCRqMhs1VqN5VbwakiZ7fbUalUZGEo9+QEAgHZncNBVA5V5vN5iW9MGLkFnMPiTOQoUcwEy2azyYCupmnY2dkRmkKxWESlUsGtW7dm5oPuV9hSEOPdDrt3OwydTieeeuopfOd3fic+8pGPAABu376NXq+HO3fuwG634+mnn0Y6nQZwoETIbhD3HJCK4fF4UCwWJeFjzH83pZnH3Tjjw4Wa2WxWkhl2rzgXxH1RnMcAIDORt27dQiKRkIHTwWAgVNBWqwVd1yWh7vf78Pl8OH/+PLxeLzKZDEqlkkjJcxbEZrOh0Wggl8thbm4OTqcT+Xwebrcb8XhcxF0MwxDePZPRw2Ip76bA906dtPsli+w+JxIJXLt2Dc8995wksb1eTxQGE4mEoPbdbhfFYlHmS/x+vwwoMyEuFApwOp1PBH1K0zTUajWEw2EBwSi5z8KBhWQgEIDdbke32xUQj0CUx+PBaDSSTn0gEMD6+rqACDSHw4HRaIRwOCwy3WQqcG6QC5sZ/zi3GgqFRNUqHo9jOj1YONntdtFsNqWo4ILdD2LvFgNJk75y5QrC4TCGwyFisZh0hXRdx4ULF5BOpwWkarfbM/K2FP/Y3NxEp9MRKXMVnD4uOxGFBge+KenJ3QQ8+JgUMjFUpeWYcBEVVtUvqOHv8/lkqAs46D4AkAPd4XAIF5roHtESSqJ5PB5BVvx+Py5dugTDMFCr1ST4vfbaa+j3+/D7/RiNRmi1WjKE9KBVJR2CPGOiTKqSVjAYxOrqKs6fPw+/3y9t7FAohGAwiIWFBSQSCRSLRbz11lvI5/NC42IhMjc3J0P15LwOBgP5HN9P0vo4GRMgp9MpnzlVHThTwMFSdipKpZIMqfX7fYRCIQAQucdyuQyfzyd8ei7ZYWFMRJgJYyqVmumA8MV7zIOZRcelS5dw/vx5oWOVSiUUi0VMp1MZnuRGaHUHwnt9Dvf7f6vVKjxYBtlUKoWPfvSjWF1dhWEY2N3dRa/XQywWQyqVQjgcFj7y7u4uMpmMaJwPh0Mp3Gu1GorFIsrlMkql0sxW1pOCwDwKI4LKZMbtdktsICWFuwwikYh0A3q9HhwOh6BaVMgjr54JDLsT/X4fXq9XxAosFgui0egM9apcLsuQbzabhd/vl63aVGThLBCRQA7atttt1Go14QGTsnA/U2kB9/ssCKyoXVQmEbquY35+Ht/+7d+Ov/JX/gqCwSBeffVVWQCZTCaRTqcRjUbRbDaxubmJUqkkXb1CoSBU0uFwKEpIRL+p8MZO+mk0xgDGslAoJOIVfr9fYhu3MdNPeKZx1oXUW6pAEgyjX5AFcO7cOZTL5ZmZSp/Ph7m5OZTLZTQaDemCUOFqOBxKV4Mdg263KzSrcrmMnZ0dSbgYF1V72MHvw0pBqs+dPXsWf/2v/3V867d+KwDg61//usRZt9uNpaUlzM3NYTqdynwoAAGDWMRzB8RgMJBkmMpCp1V0hTsfptMpNjY2RKlR0w4Wu7Lbw8KT55au6zPFK2d6qDrFuUNS0Digz+4kKcaBQACXLl1CrVbDzZs30Wg0BGRg950dEb/fL35Qq9Vgt9vRarVw+/ZtbGxszORHR2mHwTyv14vLly/jxRdfxNWrV1Gv13H79m2hQMdiMayuriIajSKXy2F/f3+mCGf8H4/H2Nvbw3g8FoYAQXICRsdVcBx7ocHAQISJBxjbbqxUeQirw6hUqLLb7bIfg7KM3Phdq9Xg9/vhcrkEvYlEImi324IsGoYhyd3y8rJIjRLFIPJz9+5duN1uSZyWlpYkCeTCPypqkJfKh4EFx8N8Ll6vF6FQSLo4bIOnUiksLy8Lh5s0FaIG7XZbuhsc2ORQEak45P3zcyK3kVQwVcLwNBrpbUzauA9lZWVFEjgevkSwptMpqtWqcOvJWWahzPY4P0MGN3LpnU6nbPEEDgbGmVDabDahvTSbTezu7sLr9aLX6wm1hhrkuq4jm81ia2tLqCtMEMmFJ5LxMMZngwsJSdOhz1+6dEkG81iwLi0tQdd1NJtNSd5yuRx2d3dhtVplhwtnVAqFAvL5PHZ2drCzsyNFETfbn8ZCgxK2AOTzJBLKeQjKxnJTLkEFInCUvOXXeDBnMhkEAgGZxcrn88hms6IuxcOFMzTlchl+v18ELlj0dDodSeBZnLRaLZTLZRnWzefz2N/flwSAKCE5//1+/4FpIeo95owIuzQulwvAgczpiy++iO/4ju9AIpHAzs4OAOCZZ54RhZ9YLIZ2u41XX30V2Wx2Zls4Z2HY2eFALiUieU4wDpwmuijfD4EHUvasViuCwaAk9+w2kU7VbDaFNtxqtaSjSXl4qlX1+33pzFqtVunKMn4ysSGjgLRjChLY7XYUi0UppgkqRqNRxONxSfxbrRYajYYAeswT6LPALL34QehSZAuQdkPaFwAsLi7iE5/4BL77u78bqVQKmUxmRl2KCkCDwQDNZlPeN+WmOcM3HA5F3IEdRIrMqEPFpy3WEdgiy4Q7K/hss/vKM7Pf7yOfz8PlcuH8+fMC+jJBzuVyIuBAsHk0GmF/f19ofKTC058AiJ8PBgMpWovFoogJ8Dp7vR6ef/55xONxDAYDlMtlYQc0Gg2hVum6jmq1+p750LsVkQTN+RlQHOXSpUv4ru/6LnzzN3+zKJ8uLCzA4XCIUI/f7xeaqDown0gk4PF4cPfuXVHH9Pv90t1m/OdzM5lMjqWrduyFBh80zlcwMHKrdavVEslGwzBQLBaFf8zDlgOUhmHIwivOUnBwfDQaYW9vT4Z12b3odDrSZuv1egiFQtLSJeoyNzcnNKvV1VWhPPT7fUkaYrGY8M+5mZJbkkl9YmAhivROTutyubC2toa5uTk0m01Uq1UsLCzgypUrws9nUGZiUK1WcfPmTVitVgn+RJSGw6EsHOK8wN7eHgqFgjyIvF5KafKw54N5WgoOdsHG47FIENIHuYmUaD4DYq/Xk5Y+h0pJOSE6wR0FVMJhO51+OplMRDXC6XRiYWFBkhwOwaVSKSkqqdJDrqbNZkOpVEIoFBJKHRVQ+v0+9vf3hSZB3j6L3AeRTGaXLBwOo16vi6JFOp0WUYWFhQUMBgPs7OzIwXrr1i2USiWkUinheTNZSSaTAA4K4E6ng+3tbdmjsb+/PzNITKT+NBqLCSJQ0+lU5r9Go5EcnpqmybZcDvSRZsLFfOrei9FoJInbdDqVPQgU0aBYRrlcxmQykQFWPtukTA0Ggxm1IQ6JB4NBQfy4ZK3ZbEqRSeqRz+eTztThHQbvZhbLwSK0ubk5WbrKrnUsFsO1a9fwzDPPYDQa4a233oLH48Ha2ho2NzeRyWSwtrYmyGWlUpGBdYvFgnQ6jV6vhzfeeEPotI1GQ94HRUfUjsppKTaYNAOQ4pT7KIrFItrtNubn56WLsL+/L/M/g8FAaD4EL9jxURNkzviEQiEBVOgbFB6gxDWHywm2cJ6B25gtFgt2d3ehaRqy2Sza7TaWl5fR7/eFnsziRAV2WNA8rLqe2+2WeMVErNlsIh6P41u+5VvwzDPPwG63o1Qqwel04uzZsygUClIMlctldDodFItF+XeUWma3dm9vTxYiktcPzHZeVBW/x90oX6zuEOEZNRwOZRkj4xaTYHYVKE/LhXw8uzi7y27k3NycdF85g0BwQ116ylhKqrw6E8JnoVAoCHWc4F+r1UKtVpOfTdov7b1EBO5XZJC1EI1GEQ6H4XQ6Ua1WMR6P8cwzz+DZZ5/F+fPnoes6Wq2WzO2Rfk8ZW4JH3OfCLvbm5iY2NjbkWSKVm9dD4JQ7Rbic88O0Yy80GOipvMP9AeRqs1WWz+dlQRPnMmw2GwqFAjY2NiRQFgoFQStIb2ERMzc3N6PDTGoBN+k2m01p5fLgZ/FDzvT29rYMwWUyGdnA6/f7kU6nJekHIK3Tw5QQVX/8sNlsNiSTSamwO50OFhYW8Oyzz+Ls2bOyUI7o9/Xr15HP5wUd57AkkVDyc/nw9Xo9vP7663jjjTek0gWAeDyObreLTCYj18LrP01GxRLKIlMFiqgmqQEMerxvk8lEuhk8JFh8tlot+cxVzjyVXlgAcA6DbeHRaCSKLoPBAPl8HrquC3WGG5d5D/l7ibCQNvLlL39Zgot6sPHa1aTzfqZ2sra2tjAej5FOp/Hiiy/i4sWLaDQayGQywo3lHBOpZFT7cTqdKJfLIlvocrlkfmNra0sG1FSVLT4fh4UOTpOxECAiqmkaqtWq+AqTXIoHEAGNRqMy4K0O9vF55sZ1qj8xpjA5ZMHKTluv1xOVFQIOHKwFgHA4LMkPh80J1szNzWEwGCCZTErHamdnZ4ZaEAqFoGkHan081N4pifJ4PEin07JPhUkZpVSpCMODnl3kr371qygWi7KYkHttzpw5I4cpqRd3795FoVDAzs4Out0uwuEw8vk8Wq2WdP54jcdJKzhqU5USST2xWq0iVkL0NxwOy0wVBQooCcxhWvLe1eV6lHmlbC3/y8+dSLMK7tHPqZrHc44FHyl9jKvczUOFJzIciDZzONdisYgowrsZ6YOrq6tYXl6Gz+dDNptFt9tFLBbD+fPnMTc3hzNnzki3kZ3+nZ0dic3sODLRVQGWarWK3d1dmV0igMCk7jDafVqKDIJi6vlCuXa16GWXQu3ukFJFyhwFTRgHCcwSHCTIxy4JhXxILeVZ7Pf75fylb4fDYQSDQVQqFZnlYjJvtVoxNzcHq9WKarWK/f192RnEM5jXSlr8e8ULzvqsrKxgcXFR9vlw/sLv92NlZUXeD+fr2Pnj+6d6GXPNixcvwmKx4NatW9jc3MRbb70lLBrG7Gw2KwW5CnYfF2h87IUGkXcmGZR4ZHCr1+vCN3v77beljQnc27zJTofNZhNVH1JHeAO4oZkJDYcaGRCYRJEfyqVFpAmw1VUsFoXbe+PGDQCQTaE8uNvt9jdoxqsBRb3RfNh4bel0GmfOnBHuHWVEA4EAWq0WKpUKdnZ2JJiz9UyFAiIu/DyJGtbrdbTbbbz99tv4i7/4C+Ffcwi31WpJ643ymGq36bQYi1p2EihNzPkCqp0BmGnjch8GABnA4oIwUlxGo5EEJxV5I2pCf2UhTTob6QGc7SEqGA6HUavV8Nprr8m1vfbaa/D7/YI2U79eTRZsNpsEbqLb76SUwfYs6QOpVEqWOXq9Xty4cQP7+/sYDofwer3I5XKiWnThwgU89dRTWFpagmEYsgSTYgkcdn/llVdw/fp1KWrJYWbBwVmF06zGQmSN8sDsIpATz8/grbfeEgluqv3UajV5BnlAkxPPWSCbzSbdMCKJ7CQxoSGlg3+uVCpotVrSMVGpSK1WC/l8XgQuFhcXhbtP1JYysvR1dZcLecP3O9SIZNrtdlEiSyaTuHz5MuLxOIbDIcrlsuw3KpVKch0ejwcXL17E+vq6FL0spFngcFD8a1/7GsrlMiKRCObm5nD79m2hMfLzZcHB12kw+gq75kySAYgqY7fbxdbWliwrBSCxhHMV5L/zLCVNjh1V0oZJmWOhyK4md0jk8/kZLjzjwnQ6lX/L4X1KiJK6a7PZ4PF4EAgEUK/XpaBgfsD7R/l64P6D4Rwkdrlc2Nvbk2Lm6tWrWF1dFYZCoVCQM4GU2kajgXQ6jbm5OekYUr6eioPFYhE3b97Em2++KYyM8XiMQqEgFDSCWbxHp8HfWAQAs4AKwTnOubbbbWSzWSwvL4s4RaPRQKVSwfz8vEhpk57c6XREfUyljar/rwJqLHZKpRK63a4oRFFkiCqhPLOZcw4GA1m+uLq6CpfLJT5QLBal2GRBwm6IutbgfqZpGhYXF3H16lW4XC5ZHB0Oh3HmzBnp+oXDYWHTsJNcLpdlJpfzyouLizJXYhgG7ty5g1KpJGeDpt1b3XD37l2ZYVJpana7XYqzD9s0AMfm7Wy3cSMtUWav1ysfitPpFGQvl8sJmsLFZUyuyCtWEREmgS6XSxAWqrdwwJUPhtrK5IutZkqFqkWEisbSiEweDnTvNHjGhJUDUYlEAufOnUM6nZbWXjabRaVSkQCnbl01DEOWpS0uLsruDEqtsu1Yr9dFSYEqQclkUhbT7e7uolAoCEpwGhM+Xddn7g1RTAAzMqJcdMYCjB0xbhUlN5g/g5xwHs5M3IiyMfkizYUIDwtap9MpHRQmZs1mUw5qHrpsi5JfrlI+GKCB2dbu/TjALEyJrofDYdmIOhqNZC+GYRxo1pPuRRlaJhnr6+u4cOGCSADzOaEmOmkFe3t7uH79ulD6ms0mtra2RMqVlCLOK5xW42E4mUxkZkwdDmV3insuOB+TTCbh8Xhk8ZLNZpMCg0l2JBLB4uIihsMhCoWCJIYESdi14Ofrdrtlxog6/4wn7PjynqviAIx5BCMYOwEIlYbvld97+J5arVZZfsZN3X6/H2fOnEEoFEI2m5UYxYKJ3cRQKITnnnsOa2trADBTrANANpuFYRgoFAq4efOmqA9GIhHs7e3h5s2bgoDyczktlFCaqlrIe8O9A1Sv42febrfluaQ6HpMzVYxkMpnA4/EgkUhIUm+1WqXbYLVasbe3Jx1OLv6jxDyfbQ5xkzaVyWRkVpJUGiLPnJ+hihA7CHwf6mAv8wQWQ0xw+fPU6w0EAlhaWsLi4iLOnj0rMqH7+/tCjyK1hLHu7NmzOHfunBTkmUwG1WpV0OdSqYRCoSBqP36/H8CBAhp3HDAuU/7+QSitj4PxMybApc6iEUwgTbTf78PpdAoVeGtrC4ZxIHUbjUbhcDhEPIXKUaPRCB6PR/Zc8J5wLojzHcC9WR3u0fB6vSgWi1I4qEAx/ZAdU+ZhACQPLZVKIqRAnyKww3OLsZYxkfFO13XZ98OO8OLiIlZXV+H3+2XbOZ9V0vfIwrlw4QLi8bgoobKQ6na72Nvbw8bGBrLZLHZ3d1EsFuH3+zEYDHD37l0RJ6CpDJ/jUj071kJDXSTEwSxKsNI5mZQzaaLkLWk/lESjEoHb7RaVHxYaLEzIDazX63Iwck6jXC6LTBiDTCAQkCBEZ6I8n9qaVk3dAeL3+wURoZFWwgVZCwsLmJ+fFxUQJqvb29uCjvNh49ZVPgg8iF0ulyR4/Mwol8mElW1fHsysosnHV/m3hwMgUYTHfXiNBeXhpCgejyOZTIoPRaNR4f/quo65uTkAkLY55yKq1aog1JwPYheEaB8DJ3evAAfIITnt3I5LBIwF4c7OjnyPikAwgaMxqeNGUPovk3ciaCxoeG2BQACpVArr6+tCn7h58yaKxSI6nY4gIuS2s6PHTlg6nRY6S6lUAgAsLS3B5/Oh2Wyi1WrJYksOobJwpxocn1Uin6fdSK8jCMDCkvQW0pUoyUiFIHY8mLClUimhwPBw51zRZDJBLpeT9r7L5RIpYQCCCqbTafh8PuRyOdTrddk11Gw2ZRkl46VqTO4YD1hAaZom4AwBH7WjyjgVCoWwtLSEtbU1uN1u2QVDlag7d+6Iehs/K4JNCwsLMpTLQppc7r29PXnOCoWCKMFNp1MUCgXUajU5Hzwej4BGj3M8exDj5xeJRKTjGI/HkUgkhEphtR4suE0kEvJMsvOj0pjT6bQgywT8yLunAEG73Zbluq1WS7oShmEgnU6L6h79hEAXu/UEUdiRZUeD5xWNvkWZXFI0mYiSrkqacyAQEAoWi/p+v4+dnR2hie3t7aHf78tsypkzZ5BMJrG4uDgjskKk2+/3SzHBhaNULqTohcqFV5Pxx3kWiHHncNLKnIbFHs/RcDiMaDQqiTIXkAYCAVHZ404MFiT0vWazCV3X5f6xI8fh7Gw2KwppLDAIKpMmSqEXDlI7HA7s7e3JWaeed6ps7mFGijqTRho6AAFmec2Uj06n01hZWRG1LQ5pczdcrVbD9va2KDAuLy/j0qVLWFpaku4Ez2+ep+VyWYChjY0N2cXEYl8ttHmvHA7HAylQPko7VuoUOwVsvZFHOhgMxKEYBMnhZALPBAW4pxrBKpWobTAYFDRaTX7YseBhzuKF6Ak7Bpxz4JZlOhJR5ftN8POGsi2nOiGXsi0vL2N+fh7JZFLUFBqNhkiC1ut1DAYDQSE54FsoFAQRZeLX6XTg8Xjkvxws5vtlUJhMJlLwUFueDzUdk7Ks/FzZceL1UyXicTW2WWkqbc8wDBniZpLCooE670TWnE6nKNpUKhWRGqXscjQaFWSRcxy1Wk0GZZkkkbdcqVSka0W6glp8qNs+GUB4ePPauZSMtEAmiOzWsDiy2+04e/YsVldXxR97vR62trbw9ttvY3t7W/yEHSDOAdAvOWDs9/tFXWVubg75fB5vv/22JAn8HDkQyGeJnw3pjKSwMenh+3wQ4YTHyShVDNxTPQMgsxoqOtjtduH3+7G0tCRqJ1R2KpfLIgpA9FlNvqlYValUhGLJBWoEHprNJvx+P5rNphTglCDmMkg1gVO7gJSRZFeGyT+LFqfTKcsmI5GIxLlUKoWLFy9iaWkJdrsdr7/+Om7duoVMJiMFEDvGVMTjeyO9MBaLAThQbGOyW6lU5MBlkkFltFKpJIkLKbkEl96pyFA7hyfdKF0J4L7XzGen0WhIl59FPs9FJnI8q1g0UvHR6XRKgkgAi9/H2UcV5KrVarKfiBQ6Uus6nY7MFLLg5jlps9mkMOZ74jVSNIAJLtUp+RyRBUFlxkgkIgVDPB5HOp2WWKtpGm7evIkbN27M+D+fDybJ3IWxsbEh5yhBHO5WYueGhfXu7i4AyByCaozT9/O7x4lSpc7yqGeqeq6ROUBaJ/Mnxg0qQJFVwbhCQIJUU1LpSIEnQ4VFoM1mk3yG7AGLxSIS9N1uV/yZzwoFhhgrWFywyGTOyfNYHThXKVcUJ4hGo0gmkyK2MRqNZJ6TQDg7+bu7u/IcbmxsCIWYXUUCy1tbWwiFQjKnls1mBaTjvMr+/j5qtRoajYb4unquALM+x/d5HKDesc9oMNnVdV2SNLb6ib6zUuaHxi22TFBqtZp8yET/ORQzHA4RDAaFKrC9vS3tYR5qnPDP5XIyeMgDn8gD6VakFtDx6Kxqh4OVLx8gr9eLaDSKc+fOYX5+HqlUSig53W4Xu7u72Nrawvb2tiScRLaJgNDhVWSciB+HQdnh4FwBdzqQ9096DpMMtuz4c1kk6bouaARRVE3TPnSlgkdhaqVP+sd0OkU2m5WgwOKx2WwiGo3CMAw0m03Mzc0hFApJAkQ/IbLKg6fRaCAej4sEMXnI6k4VBiiiiiwOWDSyoGUB3Gq1JGmklCzfD7mqzWZTuMB8Zrhka2VlBYlEQmgr3W4X29vbeOWVV7C9vY16vS6/g4V/p9MRlF3tjLHd3O12MZlMkEgkUC6Xcfv2baG8MCCzq0MgoFQqCc2RxRwPlGg0CuDgWWPSQCTxcTf6CYtNxgYupiIyzMFGxjLST4iCEtllYsWuZbvdxtzcnMywUdWkUCiI33B3Dp9pSnozKWcxaBiGDOxyoJUINwA5wDnAyPvDxJF7Ezhguby8LKDOZDLBq6++ir29Pdy5c0cWTnJ4nfGXPs8CmgAR+dukVtCv1ASOPseZFYIolBFm0sJrZhylZCRnUfiMvZtk5XEbu0rsBBxWziLtCTiIFaFQSAoyUsi4e4T7Doj6stOlLlWjPDDpnY1GQ+ZgCMypnSb6DJFrFhNOp1POebITeCapBQ/PKMrJMpHijB2TXkrB88xLJBKIxWJYXFyULeZvv/02vv71r2N/fx/5fB7tdlsQeM4yMe7u7OwIDdHj8WB+fh7RaFTUt5izcOs55zsIBFLalkkpwRW+LyaGHF7mbpHHYUCc55xqKtjr8XhkRoJd+el0Kr7ARaOcjyD1lp0oVaadwAfnI/n7OSdIxgh9hCAD88peryeJPcFWgqv0VwJ06sJJgjoUKgEgf8947ff7ReiAqpGpVEoKXc7xsqCtVCpoNBqwWq1CLSZlu9ls4ubNmyIJHA6HZXk1O2nMC+r1ugDJHMLnOcncRVX/U/2O+R7w3lLQR2kfeqHBqlIdWNM0TZIPt9st6AcrSi4YisVi8nXq7zNB5mFHviaTr1KpJC1WJndEC+mc+/v7kpgTJWabkygbuflEnHn99wsMPMwBzEiakfZy69YtkRkk8stkltuT+XN7vZ4kbKSZ8YGiMzEBmU6nM8tsqLHMgE3KA5MZFh7k/6nqXIFAAJVKRVRyKCl8GoyBnp8LUU7yI/lAOp1OOQR46M7Pz8shyc+NKAsPu1arhVwuJ4GSXE4ejrwPo9FIVM8Y5BgISPlgQcSDjcjX/bjvpB+S808JS6JMVFDpdrsibZzP51GtVkWBS93Yy/dGf1bVtviZARCN+1arhVAohFAoBIfDMcP7r1arwo9lJ4k8cl0/2N/hdruFb8pDQF20eZLtcDKqzsoAkKF8Bnmib5yNYZLPxJD7JIjssaPjcrlmZo3oxxzOJje53W7Lsiom2OrgN5O16XQq1KZQKCSdECoIkXJHUEbVZqfcJ5HthYUF4dg//fTTWF1dRSwWk47tW2+9hUwmg0wmg9u3b6PRaMzQrYbDoWwl5/PIOYFerycAi2EYiMfjgkDSp1R5R8Y1xlJSHfk8MUFlEs1hTKLkauf2JNNcVJ87XAzRN5jkqZ9npVKRM4lgVDabRSAQEF8wjIOFtAAEECDPnjsKePYwyWYRymec3YzJZCJ7TtiN474e4EDlikUk44rKdwcgwCORZLISyIVPp9NYWFiAz+eDx+OBxWJBtVrFV7/6VWQyGbzxxhsSU9kprlQqAq6x+0tfJ2jHYmF7e1sQfM54smgn2EhGABM8FoDqfJb6TIVCIUSjUZkHOOlFBu0wrYh5F581djNI2eYZxLyGbJXhcIhIJILhcIhMJgOr1TpzxlJtj90hUveazSaKxaIk7haLRdYJMB4QiFDnvRKJhKiW9Xo9md/l2gTeb57FHOBXZfB5jUtLS6LUx1meWCyGwWCAYrEo6p7MFbgMmvkvu9AEzYEDkA04eN5u3LghuS5/B4FMdWaEg+m8Vv58FfSmv3Pmg8/yh+Vvj7TQOMwnB74xaDOxIhrDwMPWlsvlkkqQQY0oBHdoRCIRQdhU/js5gIVCQVAPXddl4dp0OpWDkTeCBx8Tb/I8A4GALK1iIGWLne22wzeNlShwINPLgElHJ/WKKllsa/OhOswX5NfV4XTg/ot/iBRxqR+TNSYqpNEQAaB04cLCgtBsSN1hskf61EkfFn+3WRIWkEzMSVHjEismV6oSGpO/UqmEO3fuyFwFUVWLxSLKLlRB4/3hPQyHw3LgEMVgB6lQKMh1k/6g8n1ZTDebzZm5CxXNULdDq4PobOdms1lR5aA2PQsJdYAvHA4L8g5AZpJoHOqkDLKafDLocT6ASltEY/hzuZnZ7XYLnYUtbaoecVcDnz81qTxJ8xyq0o1qDPKMgSoCq+41YLcAOHg2CTboui5JCA9y+gn9lwIQBAO63a7EMBa+FCsgxYrxbnd3V+hHRPABCJea16QO2DLJ4mHG2KL+O+DgkCyVSlKsMg6yoCUa1+/3pUhRKRjsUpN+Q/42vwZAZG0p5cvvq9VqQmtQZTGBezOBlM+lVHqxWEQgEBAqILnOj4OpMzPArOAIC1u+X1JGeE84l8jzkJ1MFmP0CwIcVBez2+2C7qqCGkz8SanjM8zlf+VyWXxQTZSY0FMtr1QqSUeJBTUTM75fn88nynxzc3Oy2IxsAO7syWazqNfrcm6TzkI6jvqcsmvGhcE0FkGUyCUoqHb71YSPhRL9kkmiz+cT7j1nZXRdx507d2SL80m3d0LD2VllQk4ZeLIECNSpyT8BKMYe0i2LxaJ03qmGyf06hmFIzCMThcP2zAETiQQSicTMucX7rl43xV3YLVMLAc76MIawQOZc0tzcHM6fP4+zZ8+Kwt/e3h5efvllbG1tyWZ4UrH53DHfZWFhsVhEWr5arYoSFQtgFj2MbWpc4qyUKuDD3IfvgcuumTdQXCOfz5+ejsY7JQSHE0FWo7y5TPq5oIWBiHrCXBI0GAwkmDExIipHFJbJcavVku6J3++XapttMKvVKkorAKSrwgOTnREi3Cp9gI5O43tjYCavnw8D6V9q+5GVvhqE1bYXf65Kvzj8+9TPl8kHE1e+fx7u5LBS3jcQCAjPkEk4kx41wVAPl5OIvrxbkUF0j35ASg+XO/LzUFFeJtpOpxOLi4uCfLJrVqlUZJ6Ig62UnmUhwM+YhTM3ffJzPHPmjAxDUu6TW7dZ7Kgcfe7ZoP+zOCX9kEkmEzaij5VKBeVyeWbgVzX6PJ8/9XPjZ6YmzupnzcRzPB4LFUOlnzBBYFduPB4jEAiI2gg3UE+nU5GqZsLC+wHc4wSfFN87DKao/6+CKColhHNZ7EgQ9WMcZLLC7lM8HpcOG+MHaQmdTkcGywHIJnn6IO+LOgit6wcbZTk0zcO50WhgOBxKYUdfsFgsCIVC8nXGTRbKpE9R4YlJGn1gb29PePnAPboSE2QiyPysqJLHz5HFq6pOxJ0QwWAQNptN5u+IEDLZY4FHZT8aOdG5XE665Ryk5w4dUqkIzJwUnztslPdVkxDDMOSaec+Y4DJRp+oblQn597zP/NkABLjQNA2BQEBokwBkaV0ymZROA59fn8+H+fl5AAcyxZRO5r1VEV5ebyqVEloR/bPf7wsoxllEFjN8b4ZhIJfLoVAoCCVP7bJwDonxibRFUuwACDWMP4/Xxt/Lol1lMvC/ahwgfYxUIBZcBE/YkXvttddmQJWT7GfALPVY7Tgxz1Ap56SkkQ7EvIxdfwLLpCd5vV4RuSDVm9/DvIznS6VSEcYGwWF2NNhVBw7ABQ6NcxaJcVYtYjmfS2ESgkIqfYrsAxY9VFqs1+vIZrPY2toSKh2vic+f2q1SiwG1+0CqIQsU1Yfo/+yC8JoOixOp81NUlQQgjIF2u42trS2hqZ6Kjsb9jK1aPlDk49E5ifiyQi6VSnIAcfsm1W+AA7RBRVIZ5IbDIRqNhjzo6uHPv1fRZxVp5J8ZlJl8t9ttUYyi5jiHZKl6QO6z2+3G4uKioG6s0AHIxmg+UOqOg/cqIB4E0SWax6qWDywTEn6dw59utxtLS0siO8eCjs6tUrhCoZB0Ad5psO04TR24BmYDIh9awzBmEnXKx8XjceFjEmEnCtjv9yVRY6E6nU5RLpdFGYjFKtE2NTlnEq92lqLRKIbDoQx+k3PPxWqaps3Q22KxmCwyohQeNbo58DqdTkUqmV0XFu21Wk06GIeTY5WqdJgOyGSYf69KBNNYWHFwmf+OfGX197ETuby8jEgkglwuJ8UtuzBEXZno0udOWpGrdmiJ+qoFHAsPFqaMF/RFn88n95rIVCQSEUUvzigAkGKECSFpHixueX8Y39RBR34/UW7yiLe2trC5uQmv14vFxUVJ2D0ejxS9HOAk/YiFKjuhpGtxXwU7A/v7+7LokUUC/UjdNK0mbIelGQHMJND8Ps4RjMdjQQL5+fOApq8yFmqaJjtjgIOzg4fxeDwWFRoiq/w9Jzn5I8igFvB8Nvn5ssNIBJcUKnYWiUAzdrHzyW4IQbJ+v49msymzPZPJRGYrOKPAApSD+6Qp0YeoMlWv10XQwm63Ix6Pw263yw4oblIeDAbShSV1k8Wlw+FAIpGQ/6/Vatjb20Mul5PigEwBFtAAxHdI2T4sNMHZE4KXqvQuu5DqTAw70KqPMOEmMMlzZTQaYWFhAYZh4O7du9K51nUdpVLpxPqZaupnweslRZu0T3YVWUAyB/N6vSILzC5BoVBApVKRJJ8dCybppJrRZ/ks93o9tNttARy4a4K0U7UAJXDCWEI/59wYKYNWqxWVSkWkmpnnVatVRKNREaNoNptS5FQqFWxtbclWe9Wf1G4qwRV1dkedQ2LBxsKH5zlzL3b0+HyrkvCq+AzzPBZtzHV7vZ6AV/zahzV3+8gLjcNcZToe/59JFJM/0p+YfHPTMLnm5BiTGsSBH94QzjsQBeTuAtKfgIOEk0OvVKIIhUKylZazGAx4RIlZEHU6HdRqNSQSCUkg+v2+HMyqDGokEhFVKyplUYaNQZUVK/DeCdSD0Eb4+ZGLx0qZVASiQfzdi4uLuHDhgnAoeS0Monw/kUgE9Xpd0KzD18rD/TgVgsj3ppFaoc6x8LNgF206ncpnxaDG72egIAVPHdAmQqii0UTb1O4JEWW2Lu12u3QtOJvBTgkLCv4dUTeVV0lpRT4HlO+jCALl9Hif2QXh9R4+FGnswBw2FvAApOV72Bj4gHvPvMpNZrI8nU7h9/tx4cIFLC4uyjOQSCSkyCGdcDweIxQKyfvj71HtJHU31MODiR+7ECo9gIPWvA+knBB0KZfLACCoK5NEKoSRH84EsFgsiu8yGWNxyYHyfD4Pv9+PxcVFkfYcjUYirc3EMh6Pw+PxYDKZYH5+XqhIVBuiyACHzTn4vbKygmg0OkNFIGWOhRFj5FHQ3wgEqKCCSlHj2cCYbbfbMT8/j1gsNqMnz+4RkcFAIDAjDa2CQCfViIba7XZJMtRCg/Q53j+CcBxI5lyW1WqVpYgsCDnXwrkrzhsS2GChGQgEZJiXZzipNCxC1YF8xjIODbNTwtk0Dn7z2eZzw7NsYWEByWQSCwsLEhtZjPA85hnFeM4YwsKezwDtcK7Cz49/r9KbmdQRRCC1GYDE+XA4jFgsJp8tQdZWqyWzIlTGpPTwu8WzkyJKQN9SAQJS7dQumWEYQsWdTCYzawVIm+LMqK7r0mUoFouyfBg4oBSxGxGJRAAcFAqBQEDyR13XUS6XhSLP4i4UCgmow45qr9eTOR7mACw4mfcRkKD/p9NpLC4uyvdz1xY7r/wsGC9U+jFpsFbrwX4ZteDhM8j5EBb3BCZZzLNTyJ93OMcyjAPVzGQyKTMsfK+k9JVKJYxGIwH/uKT63ZhHzAE/qD3yQuN+rTa+MaISrFzb7bbcQFZ4AKTNxgROTRo5PxAOh2XYm21bdXCICQw7E6RFRSIRUY/odDpSqQaDQZE75c4KKnGwPc/gwkBJdHpxcVECE7lw5Njv7u4in8+j1+vJ/Ib6OT3IZ/mg38dijJ8nURj+1+fzYWlpCWfOnJGHkxU8r5WD+MlkEvl8fuYAUJ2U9/e4ZUh5XQAEfWJXiyiIrutC61ERy+n0QFaTDzwDlcVikYBCqhU7HaSocWiNiQsDVbPZRCQSQSgUkgFd/pzd3d0ZRDgej4vcH4OeisxQB5z0knq9LgsGHQ6HJIhMStlhoU43l2MdLihIgeGBetjP1P9/0PvLw54+SAsGg7h8+TLC4bBshF5eXsbOzo6oaRHtisfjcs2Pi6mfKzsMTHTYmRkMBnIAU9iBai3UiGcBxg4t/ZOfBX8PJZKz2Sw8Ho+IZXDui9zkYDAotBhKYLOwczqdMsSo0pdGoxGi0agcNkwcOfvGpXtLS0tYXV0VpJIqZgDkcCWF5WHmuw4nfqqxWwHMCoxwcJ5ni8PhwPz8PNbX1xGLxaSL2+v1RIp0NBoJoEUaGxFIJlEnvdjgZ8XOFlFQduUJNBA15T0lR57JMHX+GS/V2MdC2O/3f8MuEnaTSF/jcj8mY+x2cOaPksicPWLMC4fDSCQSct9JIQEOaFaJRAJXr17F2bNnZcaBZxX9mV0sqo+RfkrAiTHwsB3u0jLf4HPM5JDJIHMS+jiN7Ivz589Ll5w01lKpJPNRnBni+1QXJN7PTkKRAXwjXZQgL3MN5l/NZhOFQkGA1mAwiFKphEwmI3sxSCNX8xIyDXhes5AsFAoSKweDAdbX1xGPxzEcDmUejcVfsViE1+vFYDAQOhM7WYzHBLM4i8pOr8/nQ7lcFv9PpVK4fPky4vG4/Pt2u427d+9id3cXd+/elRkeUrAJUvDzIY3vcD6srkDg3/PZVT9rfqakcB2+H1ybQIU57rMia4jy4FRvZR7yboWGGmM/qH0o1CkGnMNJDN8o27PsQJDTSFSQ6ES5XJ55uJlAMplie5YVH7mm/F52RLjtmDx5Jp1EaBgM3W63bPFtNpvY3Nyc2WTKYoQL+vi7OcTLllu9Xsf+/r7sXFCHwYFHp2pCB1IDqMrv48MJHPDG2X4mnYIHQiAQkOHfQCAgvNjDv+O4iwwakzoWpa1WS7oH7A5wzoaoFhE+UgnU4epAIACn04n9/X2MRiOk02lEIhHhuLPbRr9iS5LJT6VSwdLSkgQ9Jp/sqHHfBABB+3iQsWNCqhQXM1osFlH04d4C7kVgZ4/a99x6y/f2TlSQD9oZULmnNLUQ9Xq9mJubkyL76aefhsfjwZ07d+QZp4IXUaZqtTrDBebPYgA8Kd2M+xkPEh5ijC9UdiJyRXoli0smOFSvoXQkkxLVr9il5GfGwUVN04S6CUCWfdKv+DMYl7nLQ+1U1Go1eabpqzabDYPBQJa7UU60Uqlgf38fm5ubkvQxuWK8fNguBp+J97LDHTqeKT6fD9FoFPPz8zJrsLi4iOl0ijt37ki3t1AoSBzc29uDYRgyH3RSOhosEu6ncqh2Dg3DkO4T/w27B+y0kcLLmN1ut0UoJRgMCnXEZjvYQk9UnhRaFg2Ml6TRUfxC1w+knMkiGA6HMhxLf6Qf2mw2pNNpVKtVbG1toVqtihSyw+FAv9+XhbsqdbJarcryMnXpJIdoVercYf76g3ZFeVbe72ssCFQ5VVK4U6kUrl69OtMd5LUVCgVRmGJnZTqdyhlCZbWTYGqSy2KNcezw88y4T8W3SCQCi8Ui1F/Skli4s8PLWMWzmjMypLAz6WZHlDGs0+ng1q1byOVyiMfjssyTP4dxl0qQsVhMihhSog/vy1KLj2g0KiAMqfOlUkniaKvVQjabFVELxmAWQmSM0NSEXaXRqWAK/fAwCMjvYbwi44TPs9/vlyW63OFFgJtnEAVGAEiM589XjT/z3Qre92Mf2ozGOz3I6iA1EyhWszwsQqGQDKxxEQqHEKng0+v1RIqPrWIAUjAQlSHyy++jI7bb7ZltsolEQgodlUMNQOgQXDpEJCwYDEowJsecBxWTS5U7rSqGfJgJEx0XgChhTKdTZDKZGd1nUqm2trZE6rVcLs+gQ+/W6j0uWotKp+DgKpN8n8+HwWAg7XzqmFOCjvxS0k+oOEIZPACi2MTFkdwrwRYuZZLVgoXdiH6/j1wuJ8nl/Py8DJTx4A0EAuKHHA5TFxdpmob19XXppPBwz+fzgh7z2lkMcZCNzxVwr+NzVPfo8M/h5wEcJBZEwj0eD5566im4XC7s7OxI8Z7NZiW4MUHlM6cCFWrh8U6JwHEbiwMmFLxOUuNUiWqibdFoVDoSpHmyY8q5C9474ODz5oIxdiSZHIxGI+RyuZkFieT4UsCAi/TY7QQgKi58bprNJsrlsiCQKgjE7yPqXa1WkcvlkM1mpZAmd5uFBz8D+ve73b8HLUwO/3tVgIMHrcvlQjqdRr/fx9bWFvb392Xej4pze3t7Qg8i/UudN2KyRVMThkdtpIAxLqnvWy3mWZg7HA7xK1JzVXoOgBm5dCblqlIdB7dJPSOTAAByuZx07wms8XOnchPvNXclEFnmzg3uSaHvkl5CgIUoOIfKCTICEPYB5ZJJWebZygLgvYz+e797+E6J1jshvYc7Gex2Z7NZ5HI5UV8jRZa5AedF2H3hzyLKf1zG2H04P7nfmcEuOXMcqkrxzGMhxvMxEonITE6n00EikUAoFEK9Xkej0RAKM4EMzrhSlvnSpUsCbjQaDfl7gm/qfAJzF3bhCFQRUGBhrNLLKRDE/I/A8XA4FIYA80VSn5h/HrbDn9Xhe8pclfN9h+MeASgC9vRZUrVjsRiuXLmCtbU1jEYj7O7uCoOBoDlwkF+TkaOuUDh8repcyWPV0aAxYNEY9Ij4jcdjKQSI/pNTRlkxLmghgkNOIDsWPGQHg4Hw4T0ez8wGaBYdvV4P5XIZLpdLkjBqhKsIIwd91YVGnA3h37OKVmXR+DW/3492u41sNotCoSCoNnBvp4N62B+lqUgXEzWr9WCR1vPPP490Oo3RaIT9/X3s7u7i1q1bwmHsdDrC7+chxuKCSRJwr2PFP/PBZQD9sBeuHabpERGhLjdVabi4iskG7wPVZvhvOfxKPqXP55OOxcLCgnQIiBCSP18ul2WfCTn04XBYiloi0KRLTadT6ZCREsABfCZDTO7oq5zDIF89lUqJP1PmWV12RcSH7+1RJulqK51c/tXVVRmCz2azyOfzKBQKsleGhdXha1O7GAy2h4fMT5r5fD7hyHI3BAcig8EgCoUCDONAU77b7SKXy0k3jv5FUIO7L6iWZxiGoL4UxKAPkAJJgMVqtcrsAWMtE7FGoyHIMwUPlpaW5Gs8eBm7iVSzUCbft1KpIJ/PA4AoibFLpRYZwL2kGYAkqEdpPIQJUnEvUC6XQ7lclqFNfqaMbexKE5lVk0+1yGASyGSR3fhHLYnLOS8mJkzegHvqWhye5ufK4VB2Fkgt49A2QSOeXUzgSWMBIJxytSPi9/tRqVSQyWRklkrTDnYlqDK0mqbJdnZ2R1RqCLuvBBVZaPPs5LwNfT8ajQp3np0yxmTGX8Y2FhDvFuOOih5C+goTPqrHbW9vy3LAbDYrS1DpXzabTXZfqfeTggWHz2719zGWPwpTn0v1d5OSyHuonv0Ef61WK4LB4DewNobDg2V3lLMm5YkUUhai9DV2RFlwRCIRTKdTbG5uCm04mUyKj5C2TDUy4MB3o9Go0IYYOymFTGCGOSbvgd/vFzCFZyjvEc9fAHIPeZYTvHs3ux8w8m5MA/Ue8+ucx4rFYrh27RoWFhZQr9dRKBSwtbUlCpj8HMjk6fV6CIVCM/upDlNUmVerzwU/k/e71+rICg221dmeOtxyozERJZ9YlWUkdYJICwcaSbVwu93S9uWHoMrW8UAnOkyuOm8gHYlDvjwoqdHOARpy4PiARaNRxONx0YpX6RB8GIbDoVBzqEzV6XRQLBZF8YCKPBzsYVB8lMg/ZxaIjoTDYVy9ehVXrlxBJBJBuVzGzZs3sbW1hVwuJ4Of6uIkdciVP5PoKiWEVTlIJvXkB8fjcRSLxSN9X4cDrfoZEvXiIcODkqgclVN6vZ7sYKnVahL0yJXloceFY6Te8b3mcjnhfJPHrcoKU82G6AlbypxDoroXOxZc7hgMBkV5iD+TbV22otn1Y0LF90ZFH74/0iYYzFSu8aM2Bu1YLIaPfvSjWFtbg81mQ7FYxM7ODkqlEvb39wXJI/Kqcu+JvjCJIkrNg4X3XFXjYBHG9vyjtPslAOxSEK0EINQBtt9TqRSCwaAsigqHw1Lwk+5ps9lmBqw5M0SKY7lcliSaaDVb9qQ2UFWOiSAXodKf2NEjcMKklMvL7Ha7KK1wiNhisWB+fl5EDhqNBra3tyV+AJDuBufW1MTlKLm//MyBe8i+z+fD8vIyzp8/L8Oj5XJZllNyLqHVagmiqRZ3fDYp4KEOr6vzX0zkmdjyMH+Upv5OnqVer1diNelMTL4Y/wlKaJo2s1+ACUu328X+/r50Q4hmMq7w+zhrOJ3e29HEmMTPnoPfnNHimWCz2aTjSoqf3+8XWXnOKfF8JFVa3fPBTeR8D9wjwKKD6Dk/p/c6Vz8oUMFYMz8/j8uXL2Nubg7Agb+RRshiikAK4x2Hn0lr4/Wogi3v1u1j8f8o4jm7+wS2GE+ZvxzeTwPcKyba7bbMhPF7GHOYKwCQOS5SuNvtNgqFgrAl+LOZn1UqFdhsNpkzIIBJpbhUKiUzlTxHWHhTEIjXSMEU5kWUWO92uwiHw4hEIuJbjNkEJ/isEQTiPJsKoj+IkeLJa3rQHJCA5NmzZ3H27Fm43W7cvn0bzWYTtVoN29vbQumi+hSvXV3NQDD8sHooCz+VtsWzgIqqDzs3eWSFBh9YdamWOmzC4MiHigcnufOGYcgmYbZS+XeqWgBbo+SMqoHIMAyRV1OHxXmIMDCyrU59Z27C9fl8MmRL7huVXqi9zQdN3YAcj8dFX5lVcrVaxd7enhzg5O6TjqBSFdgxADCjdHQUph7uwWAQ586dw/LyMqbTKW7evIm7d+9iY2NDhoMAzPyZ95QBjfeHFKTxeCxb1gHIkicioZSAO+piiveeyeVhpSi2TFVJVnJhiSCXy2U0Gg3pojF5pW+p/FKn04lSqQQAUjhomibbSbnwi4cEZRjp25VKRVqt0WhUfiYDOFHm/f190RCPx+PC3XU6nYjH46Ka02q1ZM8Bu0y1Wk04yixGKpXKjNSg6luPmnKkaRqSySSuXLmChYUF2a67sbGBSqUii9uYDPG9UNnr8GAcUXQWUIeRHt4TlV70YRuRTQDSESRaxYOQVDbeWxbMfM663a60xZk0RqNRAW0M40DNhUAGYxoRZVICGIvoVyw2OWifSqXQ7/dRq9VEBYcUF6LXDocDc3NzQv+jdCQ7d4ZhSJeAIAULYhaGLNTfi2r5fk39eS6XCxcuXMD6+joMw5C4vbu7i729PUmSyeFXUVcm2aRGMg6opsZFxh9S3UjvIWD1qIyJHxMJdlDpKywYCYgwYWCnXaW7kVbCrgY71YzjHCznnhQO/LPQoMwtgTYu2FWpwSw+EokEptOp8OOZ+Kjb40m3o+8xrvEcJxOBeQE7NIzTXq9Xnq8Pg3Zkt9uxsLCACxcuiCR1rVbDjRs3sLm5KeeBOkczmdxbQKn6HnCPI8/3RDvshwRJ7ydH/kHsMFJP0JG5i0qNo/+TnkeKJJ8JgiS8dwTg1NhUrVZRq9Xg9/slpjABZzecSotkrjBvpGABlUi5p4Vzi/zMOdORy+UAQIa62YEZjw92pKyvr0sn7TDIXS6XRdqbuQc7HOxoPGyHibTOh7134XAYa2tr8Pv9AlSywKZCI7t7vDael+x6M79lrsBrYLwmrZHdGwKYAOSsehjK6JFSpygNprZgaCryyFkJtuDpgOSoMdnjsDW551y6RNkvJpDUB+dSmHa7LU5IyTOn0ymoNdFPh8MhxQ8ffpfLNcN55SBNp9MRPhyvmxxdIjjkuLIFSD4z6QapVEqoInRatpl5Qx+Vwg7bj4PBAHt7e+j1esJtVZdjAZDZAN5DFmx0UFIy+B7VYFqv12eUTrhgTOXYH4XxQaKpf2bSyWCoStQaxsFw99zcHCqVinze9D+2XXmAcXA3EokIRY6Hgeo7/L1MYFjkMIgxCRkMBsKjJhWL3Ml2uy1UP+DekiyiCNwvwQBCrjPnStTNuOSshkIhEUzgcC8TADWJfxRmt9slEaFk5cbGhsixqgGOwIRKuVMX/hmGIUk06X/3iy8c7FNR26M2HoDqQCSBFMpBq8ukxuMxKpUKstms0IoqlYosPgMg/GCCJUTuiALTz9rttkg3kjtM9TMW2tVqdUZWk50VXddRq9Wwu7uLRqOBVColfOZGo4HNzU0A9wo6p9MpcyOkSPH/aRzeHI1GkqDzfqgzaHy+1I73URnvva7rmJubE4EBij4QWSbIxWV1VNJS/Ujdy8Rk9fAskHr/GWfULemP2tRigMu96Ecc0Oc8h8vlQrfbRbvdRiAQmOHd04/YlebWa4IYjC1Egmu1mgAzFotFCgM+l6TcUp6bz3S328Vrr70Gm80mKDJBG24sd7lcosa4srKCs2fPIhaLwW63IxwOo9FooN1uo1arye9jkciCXZUnJQim2lEXuQSNlpeXZUEcdxXs7e0Jx19F8lVaLpUKVS48C0HgAOlXC2EaKWTszB/le2KXhN0A0hBVyq7aXWVBRAETn88nOV4+n5c8TO1scMiahQP9k0UpgSZ26KfTqZyD3NrOoppANeeK1IJuOBzOqEXSN7jU0Wo9WOTJIocxT6V1siPCtQk8X1Q6LM8aXuuDCl/wLHsYs9lsiMViomjZ7/cld6CkNIsnlS2jzqvRFynjTYCOKoJqTsP7xjjI+6nrusyAPIgd+YzGu/1ivhm+CXWLrHojieQxkPHA4I2x2WySpLvdbuHfMUHhB0WFCw61jUYjxGIxkZasVCqwWq3yIHFJC6+BvOdWq4XxeAyXyyUKBAxs0+kU0WhUkgpeH4sboi7tdhu7u7uCgDNxZ/VJhzvKoMGHjskpDyTK7L1bkCI9hQm93W6Xw4uJDxM+3jcmrrxXKq+XweZRJLZ0fNX3eO3sUnEAr9froVgsIh6Py3UyMPKwHgwGguJwOJEJCGdOiLiNRiPZl8Lii8vNAEjxyQVE9CH6baPRgN/vl3kRtlJ3dnZmZo4468OgoA6qsZtHXzYMQ1AkXdext7cnCKBa8D3KIoPoOlEWKl+RPqgmZURYSXfgAcPnjAePWpSrg+I8uPl5MMlQk6qjNhZRDPbqwcLBW1ItOSTKGSEehKQ5cUGeipK1223pdLHbQ+4zETzSEakMR6BClWdVtfkDgQCSySTm5+dlQJpqVerws1o8cfaCBSDBGBV1VLuLhUJhRq5RPYgfRYyjkZ5jsRxI/TJ5uHXr1szSV4JTvKb7US8BCO2O5wDpjQAEISQFmM9srVabETf5oO/znRJjJvVMjJjQcx6GNC4uMVRpcBaLZWZmjnGAdD0WKuVyWQQsdF1HOBwWBJ0LYFXVRpVi2m63Zc8BwR7Ol/Gz4byjruvY3t6W83o4HOKNN97A5uYmYrGYcOcJlpBtQFAHuLe7gIPFKof+8Od2lKaixa1WCwBE7pQURX6+zFXYOWcHkucz7zcTWYvFMkMHZyeHFCF2vdX3dBTDu3weSHtnMkpWCs9LdaaQICNnVkOhkIAoBCJYnFPql51sAsqMITy3eb6SEcKZFxY8LD6SyaQ8B6QH/n/tndlzY/dx/Q82Atyw7xzOoolG9kSxy1V5yR+a1zzkIS9JVSpJpX7xQ2LLqSglWVK0jkYSxxwuAAFi4wKu2H4P9KfRgEeSpSFnRtL9VrkkiySWe/v2cvr0aT6PJOugoNiGQinsGQBkr26Kj4xGo0Z3I4+AkixJzWbTXgfg4fuo633bwW+FQiGTf4Zpc3x8rE6nY0pS8xQoYie5F0USsrqRSMRyksXFRaMx+tcB1ABgQgiJOa4/5/ve6DC4R7RotdDivLi4ULvdtkVjftkQwYxgS4vLo8mg5wTgTqdjCAgIAkkY6AoXngSE7ok0rUZJqBkwk64eOnZeNJtNSyyg6LDoiWQQjj+JZ6/Xs0IF/iuGf5PHI8pcp729PWufSc8OZl5Ris8LkuHRSE/38gPTDBXS3kSW7aYTW4oNvhPOnwBGy7Xf7+vp06f24HDfpCubzWQyJk2MzfiuDQ4lm83OKNRwzbEdb2eoPYDEsfuCpIHilE4JnQ9JM0kp9wM0jCWToEPSdBMwezt6vZ61eOdl927qPvCcsSwOOt58EuCDD3QPbFWSPZMkhwRTEmc6Z6DVtN953ev+vn6Z0uLiosrlsnF7vcOl8wD3F7oliRjdCElGgYG77BMMacqjp4Cim0H3gtfjb3K5nFZXV015bHFx0TZ9Y6dQbhjO5PMxDNzpdHR8fGxJD88xSR0yt/ChoUcmEglD16RpkCI5uQk6C/uTeM4vLi5s0zDFkZ9fARAiLvgCFb/nueFnZ2cmce3VX+g4QUkAleW/Pa/dzScNfmBTmt3TQnfezxeSKBFz+V3iz2g0mhGywDfRpWCuBwTUP7cUNMwe8XyXSiXrKFCAoDzll/axeHI8HtuMEfEeOx8MBtrZ2dHl5aXK5bKq1apSqZQp/GD7p6enRsHh/t2kj/PXn2HlZrNpMwbEdfwYxa2X6/eDv/g07jHceZ7z0WikTqejbDZr8uBQADkg1s/7fAEw4qehSfq5VFgoUEPxc/gIOlQU6fw3CgF8GP7L5xkMkUNHhmESDodN0IBCmplYKI79ft9iIV1U7I25WQqiWq1mwkIUPXSfe72edfMkGQsGILLVahnAxPW6yVyOWLi4uKhCoaDJZKJarWaxlfhOzPUsAChgxH8/rytd5T6VSkXRaFT1et1AC14P3+JVL78P3etGCw2PYNG+ubi4sISUhT+oTVCUtFqtGZ1uvjjFQCKRULlctoFjnCDKIb6KzmazM0tUQEboXuAoPe/Pt8FTqZTNY6BhTGVNgkgwgyPKw8SN4nv7+RUCvXS9LV0/GAkfliQWtHN+ON8fuhYk1j7x9VKj3C84qZLsOp6fnxtKzzzBTTyIXDe6J/w3nBz8YmyIbksikbB2Iw/e8vKyMpmMcTGZ5YCmgEwcCj0Uriz7Ibnn32k5k5BQpHHNcKQMZ7VaLV1cXKhcLuvevXuqVqumikZXDQ1v0BsoLaik4bjr9bqePHliiQWzI4gS8DluKiD7gorBM66X/x3+CbefLg/Om8IKkIEAJ8mkckGToLFBPfLduOs8vqDt9Xo2kwE6xu+Mx2OjR6VSKdtrgo+h60HwBT3kc5O0M6tycHBgAZsilw4XwhIEAq9mRsEB3Q6AA4TbL+EjGR2Px/Z50+m0stmsKffl83lbBonKC8IJnm5YKBSsk0hgw+auG1kGVefa0G0goQWBJHhSbPjDNcev4auhA6FG5QsvxDBIHPmd+Q7XdRx8K9eRbrEkQyDZhYG/Y26Me8S9p/tJp4GkjESSeUL8qAfrmB2aTK5meQ4ODmyYl9iezWbNlvA3R0dHKpfLFlewb+wINJz4SyeDZz+bzc4oZ4GkevoqoB8+F6oIv3cdxz//fq6TopaEDPsD+CAuEE+ZI4PaBvIMJdsDDwcHB0okEsrlcup2uzOb7SV9rU1/38NMH/cKmXtoOcwkUTRRcCBtOxwOjZoErZKODPfi8PBQpVJJyWRS+/v79tmZV+V1AAg9Ah8KhWZEhLxICJRhFB5Z2re1tWW/Tz7o5ymPj48VDodVLpeNdgp1mffGRnmmuN/YL7nEdcYcgE4EOQ4ODrS7u2uFvo/fPBO+M4TwArMy+AD+jgLKizTA0qDAAkR5FuX1z32ubqTQ8A8jlRODuHDIQdI6nY59SRIzEgYQShJ2kmBQAhJZWsQYYTqdNurV0dGREomEoSG06ECTLy+vVrOPx1cSZyyuG4/HRi9i++1oNFK9XjdnT3DHGCSZyhQ3DNoWiUS73dbe3t7MLMZ1BV6qeYoYAj8V/rM2ovLZMUxaazw0FFe+i4EiUrPZtAfe09by+fwMOnpT1T4o3rNUN/wgGEn2+fm5jo6OlEqljI/MNQJ19jQqv2QIp9/pdEwZjevBHApbnUm2uB/QV9LptCUJyDVj3xTIOASQ6ZWVFdXrdZVKJZ2fn9uwN4elVVAZCPbz/E/uAYEdFOm6kiKfQPpCYf6/zyNuJAjhcFjtdtvQfDocOEsoi9A5oIzwXtJUEpLv/3Vygc9z/OwHPgY7ASVmzoauw3A4NElL5AWLxaINGXqKHrbKrIdfYAhgAM3KL8vzgZ4uFsUzv+cLD3wBsxt0dxniJqkjsaRjQpEsyZI8hnWhVdAJINFiFwNUwz/34Ju+rRjm2YbORaCFQwz1QHo2L5oCjWFmYs9kcqU4yLNCh5tnv16vG5DBQrF52sF1HV8MMDdBQk3ixkZvaTovSYJOskBX3dOQSdywQwosCjRinDQdRIcbT9EKNRaAgSQTO2Muw4NW+EU4+lBdsTfuJQU3dou98ZxxbegEwJyAdXDdB39DTCWf8bkLcQAaIcATCbTftTUcDo3yig3RFbu8vLSknuR9vnC6zkJKmvpvim0kjRcXF40eiLJUMpk0Wi7AD/fu/PzcZHyh8EHvJUbCuoBCRecTmjFJPoAZPtbPKnohIEAb9v743AffhT86ODhQOHylDkk+AMhMl8TLufKsJRIJ3bp1y3I8CiUS//mZrue9F5Js0TNxdf618Vfkb9gYefHp6aldn16vZ6AFMYZ4AsDA9djf37f9IZ52/V3PjRUadBl85UUwlGQoJigySDs89Xg8bqo/HrlmyzMVJ84Io+UhZ8MphQxBMJPJzHBVV1ZWVC6XzTHgGEGqm82mTk9PTQ8fZ0wBwzyJJFvIMxqN7KEhwFJpFotFDYfDZ9Itnvea0zr3wZSH5VkHRGY0upK65D5hrFTzFI6h0JWKUDabNQoWjoME7P79+8pkMtbavmkpVdA2T/UiYfJVPMUjKJtH1gi0UMxwGiS0kUhE3W7X9OP9sHssFtPa2pra7baGw6EFYTZyI2XbbrdtnwTFNkUOwYgOC44QnrOn0FBc01YHmQap9DM/tKNx+DgpaRokr+NQlIJYexWUeQ4xCQnXz88kDIdDpdNpW9IF/5QN13C5y+WyPesEZk+X823umz6gWdgL34vElNklUOJIJGL/zr2FXgIlAB4814Ehfr+heTgcqtVqGU2v1WoZErWwsGAKLAx0TyYTK2oAdJCSBH0mUfTDnXS9QDK5viCyDKty76EnMFDOLhESi/lZqvnjA9mzePbfdPjs+Hr/XSkInsVh9vfOK2VRoNDxwYcPBgM9efLEYhhzNjcpbUti5dFcSaaSw64m2ALEWdB+km7mMygE2BMF0s7zKU1lzRkq51pK06FlqCgUv14Bh4SLBPH8/NxiPe9BB5wuFEPIdOoKhYLNQALWNBoNW3oKG4KZLWYtYSxI3zw3+ucen4NgQxTnPAsApvzMH3+9/T3BvkDY6TZR8EIdQmiB5xSU/6YO34NrSOFRqVRs59FwOLSumTSV9sYHEr+Ojo6MagSwVqlUrMCHGs9MLYXTZHK1K4jOKZ+Ha0WXxQtheBlWpMCJgYPBwHJOBBCIkdgPtsLPKF6hIPJefr8QduhnbujmPu/BL/ln5usOzzjXju6L74IOBgNVq1WNx2MTZYECSdHOTiWoZYB/yPl+n+fpxgoNUGDfMgNRkWSFQSqVssSOh5D26erqqg4PDw0VhJLUbDYtAQQ1xtlcXFxtGl1fX9f9+/fVbDZVr9claUZdIx6Pa2NjQ41GQ5lMxviEBGSQUxBuj45jzAxD0V6ORqMqFotG0QEB7Ha7xnlGCWhhYUEHBweWRDzv+a40EXjfJA8UPARrigwebGhouVzO0DMoYyT6d+7cUalUUrvd1s7OzkxiexMHtAX0hIcLW0BBg46X55+CwHgda1BjAgLUAJImKGAUkth3JBJRoVCwRIMCBTSX4TicLYkoBQKodbVanRmahAdLK7lUKunu3btWJLGTg2B0dnambrerVCqllZUVQ/6kaaBgC/rz2JwfAONZB2XhOs8fP8/Dc8vfgJhC01laWrKN1MViUQsLC6YNXiwWLTlkzosuAknRTcmL8h389+O7k4jz3cLhK1Ue5niWl5fVbDbtWaMYg8oH0uyBCcCNQqFgXS6oLX6ehaFupLlTqZTW19ftfUCwCETsMCBwdDod81++M0PAZMCToXN8OMUqcraNRsOGzCkESSbwoRRU34SKYVPfB4QhAeY9KL6f5YcAZ+gE0YWkwONzQF3j/rC4tFAoaDAY2PK4mz4UAn4ImkQAcA46lDTdTk/xT7cF6hEILVQ8CgPsmN0XnrIJZZHEhZ1V+F3iud/9Q6dSku7cuWOINok6vpgZtVjsan9MLpezIVSPNHMtuA+pVErxeNxESry0+XXFH28L87My5DYACc96T9BjupKwDqDrQfWC+UGBP5lM1O12Z54humc3eQAt6XZSQMBWgBLW6XQs/6HoBvzhu3APuecUgevr6xa7oVgDPBUKBcvHoHVSzIdCIVO/YyCemV5o9/F4XJubmzo4OLAuLn4aKh//n7iYSqXMF/jZGkkmIASFt9fr2f1jJo7XBnS8rvvw5/gW/KmnUwHkYStLS0uqVCoKhUI6Ojoy2l8kErFnMhQKmdAAsRwK5XdRmZo/IUk3IqZPkufRKZJh/8DyOyCw8PJ8sOU1qNAwQOS4uBme54jhY4xwnCUZ2nhxcWELw+D1kdxReRPQQedyuZxt2SXhpGL2w1LQJtrttmq1mlWCR0dHVjwxyPZ1iZlvk0Idg4v5dUHYt7d4Xa/qQ2Lsg7HnTnuUxQ+vSVImk7HBJL+AiUU66O3v7++bwd7U4fOTdHungNOmXY1oAC1FrwGdz+eNb0+Ln6BJR45WNvrcBGQ475lMRvl8XtIU4WY4kkIYKTyKm8FgYEOsFDVegvjs7Mz+Dm5oqVQyCWicg7dXf8+Pjo5MXQMlCZK8Z0kmfpfrDv3q6+yWa09i7IfHCMa+3e+10VHLYSDPy1kjRUhS73fsUAwi2nCTZz7ZgCoEkhuPx42mCX0Fv8UMEE4cXjrPKIg1hTJIMcorKORxTfP5vC09297ethkQT5PCnqAhxONxZbNZK9IJJCDhicTVhls6yh40oVvBd+M5JDihUoOiGjt1uF4ky/ij65zZ8D6TLpGnoMwf33G+vLy0LeLcF7oX7XbbgDOGzfn5vMrWTZ35awYnncQMX+2pZuPx2AA75nG8L/RUIwpQ7vN4PFY6nVY+n7fuPwUnz+twOFStVrM4CYqdTCaNU767u2u0KLrM6XTagC5AEr9vimcZ22AujvsE1QraB12YVqtle4M8sku+8E129nUFwvzxNDx/relu4wPmZ+DorvkNzVx/1LuIsyzy80pb2GqpVDKxhps8HkzyZ2VlRcVi0QbwvVoZFC+KIoR+SMKJGSTDvrvQ6/WMKsxCRsAPqKNQn0OhkNbW1lQsFiVNu0fEfeILCX86nbZ8jO9F/kbHhiKDeTZoeRTu7NMg2cankMt69H++czp/8FM+Z3meA2g3/1rET0n2fbiuiOIgnQ8wxp4c8j/yiuft0Fx7oTHPqyUog3J56VlQNq9G4gOFT4L5XQyPJJIEj2FaEDcSkHK5bCgMAdfzeTF6khwQQ5ZWgTzjYLyiEJX46uqqIUKoZEHR2dvbsyF1qnfay9y8ZwVbEEcCJjrdbPOddwJ+sInv6hMZ/6BLsp95RSnPdWfQ1A/fJRIJ3b59W/fv39fCwoIajYbq9frM9zs5OVG73Z6hz9zE8XxiabbFSzsThJuilQFxki/sxSvoMJyHI5xMJsZL5d7TKqcDF41Gde/ePeO14+y8OhoJmyRrwRKUoeIxmMt9ZuAMG/RBE4qb52jzurFYTO12W61WS4eHh2Zj3GPfgfD24wcssRtJM/s2vikxJHDi0OfntL7uHpK0UMiyuZn7mEqlVCgUrFNFsdRuty2J+brAeN2H6+8TEwalSZbo2pBA4L9858kX+z44eQrPcDg0GeZ5yookox2QSGKjFMDIh4dCIZvtATjhffGrFCj4A5BJeL90Zik+AGKQlOV7k2js7e2ZD0Ygg8/LNYGO6VVSrsNnkIiT4PgFqf536AB4msHp6anNcDET1Gw2lclkZp6BaDSq3d3dG1cO5OB/8e18BroVCwtX+yYQHuFZALlFbn04HBoohh1Dx/T0lFAoZAtp+/2+iXvg57ERihzvX/BtxAP494PBwAoB/COAFcIRPCOtVkvdbtcAC88o6Pf72tjY0Hg8Nglt9izMzx35YvZZtoXf+K7+A8DtWb4NUOri4sIAUMBHlCix/2QyafGHbhqfg4KKLs7i4qJardaNdzOkZ6ucef4+exx6vZ51Mf3MJB1BwFfAS+IPfgr6K+ALm709wwB/B0A3Go1UqVSMlkznllkSL28OmILte9CNXTrkCST++D7eC7AOdSp8BvaP/yP3mO/GksPy3flcnqr1bYcZ4GfZqO8Sc63xZ5PJxLptXPdyuWyfPZlMWi4HGL64uKhKpWLd6na7/dyx9UY6GvPDMH52gq4GyJk0VfyQNNNNIMhJs8kvvwtKEIvFLIhRxWFgFA/sMmDpGQ8sSRwONBq90pRvNpum0+yN1ydHkgy1A4UBDQJ55me0pkCGBoOBtra2zBGRtPogwqAUtBA/WG438I9B1ScxHmHzPEK4iPycISrQH5IhUGNmGbinDx8+1K9+9SujlzHc6mUGG43GjQzgPevMd2+4btJ0eR7dH8+dxwkRiEiOl5eXDdmgMMPZY7PM3vAwh0JXC8BKpdLMZngKRUna2tpSo9FQPp/X+vr6DKIDCtbtdk1dxAc9ONihUMj2r3BPPZrGbAlD5EtLS+p0Otre3rZAwO9cXFztCWH7J8OlJDEkowwmf5NqGM+CRw8pTLHzeaSQIgYElYSW9yOQrq6u6o033tCdO3eMkzscDrW3t6d6va6jo6PvzRl93uNtD/oDvo3khhY+9kQniU4cCVEkciUDHIlEZmgiSFiiAIIfACmkmAY1BKShO4K/5dpxH3O5nFFiSLgpkD04gR3T7cAWGOb1iz5R0YKmSAeP7/Us9Jekl+IKH4KNSLKilaKdDvezOmM+MeE7f50gAIidt1dJM+pb0lXcKRQKVtjy+Tc3N298/mz+MGQLX9tfF4amUVnk3kpTAQuSO2IFwEQ2m7WEio4TcahUKlmhCTjopUxB3peWlhSNRg3wwCaJz9yPyWRiCQz+lOKIAhwFM5a/wljwkun4CQQZ2ADPM8e9l6bPKj4MeyMZ9rMVf+6Z76T7ji35jlf4gkoGBRK6J/lIoVBQOp02KXzAI2w8HA6r0Wi8sML2WYcCanl52RTOmIkZDAYzm8DxAV6JDp9IJyGXy9lzT0cf+WIocdls1ooRGCWAbMgvs5+I2AWKT3zGriqVysxsYjQatVlKQD3iv1+8TNFBJ4/CQ5IBJ9i3BxqJo95XhsPhb+14POt4Wt7X/a2fgfQgDp9lMpkYzWtxcVFra2taXl7W06dPtbW1ZcIOuVxOrVbLJJuv49zIjIYPKAQt2qMkJKBpGCsXg6Dskz1JlmTQTcBRhkIhS9jC4bDRFKiueS0czenpqSViGDdtWoa7J5OJce59IGauhOHn4XCoSqViDwaJJtJ0JLMkuwxP810fPnw40wbmNX21Dz8Y5IBDlQzShYQqcyhU3PAZFxYWbG+JTz64H7wWn9kjsysrK/rVr36l1157zRJdZDvb7bah5i+yyJCmCKhvjVO18x18C9AvEMLRE+iwVa9aQpeD+w01wRcwkowzj2OF3oYcLm1lirdisahkMmn2MplcSUUiWwd6z/tJMsSLYlqSoS9QFiRZ4sZ1KJVKkqYdH188ZbNZc4BerhgUmO7j1wVhnJ8HBXjeUH47ODj4k78hSMNVpljwxUcikdDrr7+u+/fvW2IQDodNnIHC+EV0Mb7usAiKLilBALSM7qhPanmG6fTgC3juoMDgP5jh4nt65RpJBkRAX+B5gFrDADiKSmiqLywsGG0PGirCFnScoXOQTMHbX1hYMD9AQc/A5P7+vj03o9FUWlGapZrw/SeTqQQp14bvT9HCoCLAhqSZOR9JxgOHXvF1HVVsDzsDnCAx4vlPp9OqVqsqFAra2dlRvV7X5eWlcrmcnj59+sKLDEm2syCbzdqCLu4VcaterxuVCR/mrzOxKplM6uTkRK1WS7FYzOImNkyyfnx8bH4KKhn+0atPobjH3iZQ4aOjI/NlPsHiPnjpa+yJ7rMk1Wo1DYdDra2tWWJJbDs7O7Nt5cVi0XwfqDXLLaGVEM/xG1B/vH+j8PcFxLOSPOai/IyJNJ1xJNHj+/A9AfwQ/IhGowakPH36VKlUSrlcTu1224ash8OhdnZ2XmqRIV3ldcxu+tmYZDJpnSr8k2epUGDQlSIXqtVqM3MRdG8QYvD5o7/+xWLRgDzooXt7e+p0Ona96f5xD8/Pz1Wv121AHDpnKpUydgpsGJ4zaG7MEpGvLi4uGsDMfaejAwOEgpqiCgDg7OzMhHe+6cyD9d9Gs+JzedYKoBMxgo5UKpXSm2++qXA4rM8++8zUzOhEdjod1Wq1a+2c3diMhiQbXIIyxAPpBwW5QVCOSPY8vxuHSvuXrgEX1KvrID2GQovnh/NaoFTQDTwnfzgcKh6Pa2VlxQK3T7hI6vjvVKlUuwyGgV7idECUaUXxOUajqZILBdPZ2ZkajcYM78+36UAZcWZIz/G+OFWuNTx3bzg4eooxaZo4ci3G47Gq1aoePnyoarVqAQpZw2azqb29PX3wwQfa2dm5KTP6TofCADqSJEM4vI2BqkJL43stLCzYEDh0JlASbADkjNcdDAaGNhIwuSd0NTxdAdQLTnwymbT2ryTjRkNVAAEDLT85ObE9IHT/SHp9ciHJnr3NzU3rrtEuZtsqNtBqtdTr9QxJnE/UsBmPmIN8Y++0hb3U5zydUpIl47xPJpMxJD+dTqtYLKparVowIRBtb2+r1Wrp8ePHarVaN2tM33Jw3AyxskiLYovBWFB9ikpAApA1/AaAC5K0kuz12LnCnMbp6alqtZqWlpYsCfMLSn2xDN1hNBpZIQD6TXD0VAO6mtguiYAkQ+c6nY7t2aAjg/gACS22ie8n8FGUQO3DVufpARRAmUzGKIzMtHlfxWdgZsdTA+kcge7z+vhOT01F7KJQKBj/e2NjQ1tbW7YAEGnfl3VCoZDJdqJExCKvTCajRqOhRqNhzxJFsKSZwiybzRqgwHX21BQSD16HQo5EHBoM1KhKpWKFHrNF5+fnJmmLmIXf6+JFPHg9Cic/j8Uz4G2Jf4dexSZqwDTyCmae6EjxfS8vL22rM8XlZDIxijcACM84SDRFkQcO5n2lp42SEOPvE4mEer2eIpGIfv7zn2t9fd0EGZiH2d3dtRzp8ePHL2Tu7LueaDRqYON4PFVZSqfTisfjppwnycQjKEIAQhH8ADQiRtB9yOVyZhMAMdxrRFDwTRSezE/xXuRm2Be+jiIB1gsCEJLsGcDXASpQkCCOQAcXmmE+n9d4PDbZcnwbr+U7ws86+DRpqrzlKZJ8DkBxcl78LBQqbI1ni0KvVCrpwYMHevDggfr9vj799FM9efLECiuet93dXQN0rs1ervXV5g5OArSFYCbJ1IoIxAyn0bKl5crN99QlFCZwDCD5FBwYHTw1kBkGgwqFghUxfpA7mUxaxclUPq8P/5mhGT4bhZEfJAcd40HwxgMvnwUoOKmzszPt7u5aQeDXvEtTji6tY4oBkHO/rIoCiGtxdHRkhsg9ILkhCNDqjcfjxpPM5/P62c9+pnK5bEOFoKLdblfHx8d68uTJK1NkSNMFcFTuXjfb83yxBezLOx5oLrFYTIVCwSQZoVZhp0ix4iTp2kmauZ7pdFrr6+uaTK4URJA2hvLHDAgKQyhXsDUVGVs6ftibHyr0dAFskUC7v79vTpDfwREdHBzo8PDQ+Pe+GCDxw1mxvNIHZtCpWCxmMtHdbteSPLpq84diOBqN2hK4y8tLVSoVvfbaayoUCtb1AaWkKKrVai+9yJCm0tEkIwhDEHRPT08NJfZ7VSg4oVd6pBr/B60ImhUAAglXIpHQ2tqadXrwF8xMSDJUjsRuZWVF1WrVfA+vTVJIxw+/DLrId4USWqlUtLa2Zve11+tZMPOyxFDb/OvyvPkC1M9seGSY18dPQ93hd/juBH4SFt/NoJjABxPkoUjh59bX11WpVKzDeXJyMtMd2N3dfelFhnR1XVhKxvULh8P2zCWTSaMC4cuwN3w9dCPshBghyWIadkg8gf5Ld5YOB/NSk8nEfCMxkeKF+OOBQuREAfMkGV2YJB1gB8AN5bPV1dWZfS/8/mRytYejUCjYveU5xGexvRs2BPN20pQlQCHluy98/8vLSyuyfRd9/h6Rq3hK9urqqtGKfvGLX+hnP/uZgV4PHz7U9va26vW6yuWyzs/P9dFHH71SRYYHG4bDoXVb/T2hawQIAPAAQMesBAtxsd3RaGRACTlYMplUuVyemSeiS9btdk110e9S4XrTnSDPOzw8nFFwpDsGIEIHn3lbgB4AEeI6RTDPCLK30hWNfmdnx4pfYiMzmvN24m0Nn89z6imKfG9Pcefa+i4HILQfaCcu3b59W+vr6yqVSqb8BQhOPsjG85vo1t5ooSFNnZgfRiF4eVQflR4SNB5uqlTQwHa7bW3LUOhKWqxYLM7IlNISPj8/t70PIB44k2g0asllNpvVYDAwKhWJjyQbtlxeXrbOQz6fN7SHzz4YDEzPHCQQQ5pMrqb2d3Z2zOHC9RsMBuZgCcLwTH0FC0pO9c7rkNx6pE+aBgzaYVwTBja5ztBzwuGwoXqj0ZWa1htvvKFMJqNIJKJUKqVwOKwvvvjCWtb/8i//8lL48d92QLDgCDM8z4OIzSFRR0cBBJ571m637foQpHA0PpEh4cQB07rFFigc4JMSRKGFMCxJgKarBvWm0WiYNB0DnzgoX/DSoUG+DxTv8PBQzWbTpGC57/BXoYWRcIJIZjIZJRIJK7wzmYwV6YgSSDJVDxR6mFvBOXJdPNWKhITuzWAw0J07d/Tmm2+qWCxa0joYDNRqtXR8fKzd3V39+7//+3fmU9/0Ya4MZSk6DszD0I2EQ0yxPhwObXYrHo+rUCjo+PjYUD6SMBIzugLQovg7j0YBMNDuR8GmXq8bkk+gkmR7iShiPe1J0sy8DcGb16BYpShJpVKSZEGbmRCos/x3ChCuC7Q7OinEDFTZKM54ZvxciJe8pKM3H3xB4kHfS6WSyuWyQqGQqtWq7t+/r0KhYGpaKGYRUz744INXzuZIfKC2Slc0I7jzdG5zuZzRckl2SML5HVBZKIsUp8TrXC5n6DDJD0UDMtocOp74RfwUBQvJKjGH+MlnoRgnWU8kErpz545RiX0ixfeBmkQhS/xlFu3w8NAk60mkQLrxt37Qnb9nvkqSfaatrS37e6ii8zHQz24BJN65c8fAoAcPHuiXv/ylKpWKMpmMut2uPvroI7VaLeXzeXW7Xf32t7995WwONVAowiTSAC2oM1FMSVN7APyVrgqx/f19JZNJLS8vW/4lyYC1y8tL7e3tzWyaTyaTqlarxgqZTKaDzqlUygCCXq+nfr9vlD0oTwCE5Fe+EOS1PNUQP0ee5WXhYaL49QQHBwcmunFycmKfjeO7qzyHLKJlQSbdPQpdVC89GwVhDnIQfCfgVDQa1d27d3X79m3LNT1VFNokBfhwONT29rbNoN3EuVHq1J+82R8NkqqKm4TzmE9GQLA8j9xXYPDfSep4kPv9vqn2jMdjra+vGyoPXYi/4QEgoGN8g8HAqBCDwcB2E1C94xB90MfpUJ17uhTJGoUCFTaOEqQZY6Et5ztBFD+j0dXSMhLDdrutg4MDQwIWFha0vr6uTCaj8XhsrX8cJIg+15Fh5tXVVeMi3rt3zzoi6+vrisVievr0qc7OzvS73/1OrVbrlXOE8weqCaiK53kSRAaDgSW9BC8KKwYvvdAAC4pQg6KYQaKPgpPWP9eb+QNJhoKArmLDOBnQQopi1FkQQyCxpeCko+ILjU6no/39fdtUP29bFMrYK0UOKOZoNLIB4263q4uLC+VyOaXTaZ2cnGh/f9+6FXwW5H+hmHib9k6RwppCmEDx8OFDUwFLp9MmKTgajfSv//qvajabr7TNed/laZiSzMdA06G7hX1AHyuVSkY7AFgAbOn3+4rH4yaxTSIDDSqXy9kzOw9edLtdSwjZ6Ou7nXCXQcno3vn9QqDD4/HYdmpcXl5qc3PTOnSeNoUqDQkmr4898dxRtBBcu92uBoOBDcFLsgIC+gPvR2ccnw+Q4mU3oVKx8wi7v337tn7xi19YpzYSidg83GQy0T//8z+/8jYnybphh4eHuri4MDSWQpOOGB1yEF/8HUAWcRiggQQMqjGADPQVL+tMgoOfo3iFIoOyTzgctk4sRbEki2/4EN6bzrR0hRhTKODDJandbqvRaNjgsbdBZkXoHEIfZSYNIIRnluSOwp/OUb/f1+7urs1ckVjDrOAaMoNAh7pYLKpYLBqos7a2pl/+8pe6ffu2UqmUOp2OPvvsM9tn8Jvf/OZaVH5u8nCdOIBU0pQiTEHi1Rw90s71lmSxA5+B7yI3KRQKtjmdwpVCkbiJD5SkRqOhk5MTi9PEdLqhFKxsoOdzMk+IL6VAPjg4sFkNT50iN6MQwJb4TsRT/BnyvXQ5KNQB/6DgnpycWNcGSjLPDsAV98HT+Og8vvnmm3rw4MHMMP7y8rLu3bun5eVl1Wo11et1ux9vvfWW2fGN2YxeYKHhjQTpu3m+GqgGN99rsBNkab96bjzGBsWHWYdWq6WzszMlk0lbNgOfGToKSd9oNDIkMhaLzag84WCp1EGjQdw8PWowGNhnxmgmk8kMOkcSBrfZzxPAH/VD8iiFkLSRoFAQSbO0gHD4SlYVhBp0fDgczmzFXF1d1euvv24LceLxuNbW1jSZTLS9va1kMqlUKqXj42Pj9HW73RdlMs99QDqgPVBQeqflW5KS7MGmWMOJdDoddbtd49/z2gQukm6QAwYPvcPM5XKSZAkXykIUGCSKIIokY/7wHiA2vA+fHT1636HBFik8oJSQxBIo+VmxWFQ2mzVHGw6HlcvlTO6S5wGb43lBV58iGIlTr0q1srKi27dv27OXyWR0//59RaNRC7IgOJubm/ryyy9fKQrBn3MIxiTSXnKURArUDZUg+Pa+bc4mena5AG5Ae0wmk4aKednQxcVFWxbIArBer6enT5/q5OTEulCgfCTy+Be6B/g2+MJs+QbVhkrqh8M5FLt0JiaTifljPjPDk7w3yHcikZjRtufn2DrFOTZN94TX4BkGoCqXy3YtB4OBbt++rb/8y7+0JHRpacmS36+++kqfffbZK0HP+3MP951lnxRtsVjMkibUntjkjd1RnDH/w7VGeAXbXV1dNSCBRBzaErOA0JXpAEA3JuZBoyN5hz7JjCIovwfvpKmQgEd+6dxQzJJEAqjgg6UpFY/ncTweq9frGfgGXRa/iM+GOo2IAgPxdKYpRIj5PEupVErFYlGLi4sW/19//XXduXNHxWJRmUxGBwcH2tvb02Aw0CeffKIvv/zyT8QzXuXD9eS6M09Ht4yClQ4hTAKKWWKBdBU/ksmk5WI892dnZyoWi7p9+7bNmbH8GEoQymi8DjZ7cHBg4B32hFom8ZaBe2Zas9ms7YqBGYBiG0UB74/dEscpfLkWft6TfHM4HFpnDToocxUURXRs/GwKOSjfkdjAnFIsFlO1WtXrr79uHQuufy6X071793RxcaHHjx9bEfb555/r888/fyE290ILDWk6zEZyR5JMkCKQ4Iz8oPJoNLIAh0Fh3NCBcCw4PDi8fkDMt1bT6bQePHigYrGoSCRiOzRI+qhYaYHihCkA4JRSaMArxQHiyEFvqML5fRBeDsotnU5HkUhE9+/ftwEyOPQ8oBRTk8nE2sQknrTLQ6GQ0Ru4LiBaJCJnZ2eq1WpKp9N67bXXdHl5qe3tbeuMnJyc6PHjx3rnnXdejJFc8wmHw8aP9QUjDo/gSuud4dbBYKBisWjCApFIRJ1Ox7pG2IgkS+wIvLwvqAk2AhIMWsLAIF0MHA2JG/x7Prckc3qg1SSHvC8OkMBMEGRmCv7o0dGR9vb2rBMDUvngwQNlMhmjHNAyp0jGqYNM0w0imMTjcRuehQcNuJDP55XP523fyt27d/Xzn/9c/X7fOmbMnLRaLb399tsv2lyu9ZCAIZPI8YUIyC9Iqk9c4DLTjWMol0AI8l+pVAw1xG+RQFMw0AX1HTps3Su0MWjOdlhf/CDSgS+TZL6RZwTbo/NGstntdlWv123LNMUn18h3MxBB4L3w2wx1ImlJMcuCShJknuNkMqlbt24pFoupXq/r+PhYb7zxhv7qr/5KJycn2tzcNPR9NBppa2tLv/vd716WuVzLwb/5GbxCoaBUKmUb3CXZYLZXx0F9DKGCcrmsXC6nw8ND9Xq9GYVDQBYSJTqe0tS+PT0Um2Em8ejoyApsP88JwEPi5hUAifWAgAB1BwcHxpag20BS6Qt7ZjfxhyTJPAu838LCgkmr0pHBX/s8BTs/PDw0KdByuay1tTVJsmcIauzy8rLNHVDobGxs6P3333+RJnJth3laOkkoDkKvla6o4CTWsCyk6S6vxcVF24OSz+dnaHKSLDYxkxGLxdTpdGw+BAoW81WS7JkmL8TGoGOFQiG1220tLCxY946/IT7yNwA4FKQ8K/yMQgrmDdLOzFZI010XdIwBILFDfC8FL907bA+aLPKzbPXe29tTOp3WvXv3lM/nbYEyO+ZQhCPHA1TY3d19ofncCy80OIlEQtVq1RahSDLahh+sxlktLS1ZQMMYGWrN5/OmIkWQA3EggPV6PeMDStPhcoafQfgoeDyfGR4r/L5wODyzr8JzMjFGjJQ9EwyD4oxJvAjifCacJ50IZB7Zust8ChxBKl32c1DEXF5eGoeQVhuOmNZgOBzW9va2dnd3VS6XdffuXSvKqtWqlpaW9G//9m/a2NiwQuWHfKAH0QlDqcvzyCeTKwUWEK+FhQVVq1WjsUgyBJci0ztM6CskfDhBL6WJc6FrAaWQYUsSMwpxUH4vbeoXBPmg7h0a1KN4PK719XUbmiNIezoPFAPa/XxPnhOQZxI+j8Yx9Eng7fV6JjXIAHkul1M+n9f5+bm+/PJLHR0d6eHDh7p79662t7e1t7dnyl8ff/yxtre3X4qE6E0c5pwIvAQxSQaMUERKU8QKH+e7STzv0JtQ5KKT64MlNEiK1cvLS1Mo8osqsQcAiPF4ugASGgpIMJQFOPp+cB0QhmCWTCZtoVqv11Oz2bSAjJ1LmunqMKvHIDqJK8kwiQP2y88omNPptCnSINmKWtlwONSbb76pO3fuqN1uq1arKZlMKpfL6be//a2++uqrH43N0fXh3iwuXi3hwg69YhX2QZwg7gFeFAoFk2ClC4fdon6D/4FxwEA6PheVPv72/PzcmAgIiwCUQBP1s0LQb5LJpIFEMB4opvCP5+fnqtVqevLkiXXPmNGBGQF1rNFo6Pj4WLlcTqVSyb6P75YBUkLTgX+PQIVPTFFJC4Wu9nNEo1EVi0WNx2Pt7++bTUejUb377rsvZR/LTRx8UL/fNx8BewC/hE0Qe+mCD4dDU8DzdEpoktKUdu9pbyzQQynOLz9stVrq9/sql8sqlUpWSC4uLtq+r4ODAwOwAW+hgFHcQMfHT5J/YocUmn79AJREgBeeDwRmAIn8PCSgMeIZvkBBrGVlZcWKDGZuAYfj8biazaZarZapDErTuNLr9RSLxfTo0SPVarUXns+9tEJDmlbD0KC8BBkPLwdDuby8VDKZ1N27d23AG4NZWVmxZAW6gFdwGo/HtmmXGwqVChSQmy/JgrNfUANCLcmKD5AOn0jiqPv9vmmee+Umfk+SJauguQRwKAx0KxjoA92RZAPofhgeNSEGgekEodDAUCdbb/kZgWdtbU3vvvuu/uu//uuVHPZ+3oNtwQkmaFBo+IIElN+3ZkniCG4ELhwPaCIJF3LJOEpayNgN8o0gtrwmA8Re8QIeNQg0ThwUnCFwSdZVi0Qi1saXpk6UOQm+GwUyxQuv6TtzXnWGgTSGR+G3Y6MUJTjIs7Mz1et1nZ2dmbMGPFhZWdFXX32lDz/88Edpc/DMQbQ8xch3N0BxudYeIQ6Hw4aQInGKPVKYAGaA6EOjgdbB3BddL6iUDHWCxKGyJ8nkjuHPE3ihAyILjbQjfHMGbEH+4MxLsu4LHTZAIklGA/OLIil4UG/b3d01oInhSz+nRCLA3pVMJmMDufjExcVFbW5u6ve///2PAkiZP3QASKaIN55eJsmKQWwF+wRUw6bYnI4aHkUaHTfU06rVqmKxmM1TMBdJDFteXlahUFA0GrXOZrfb1dnZmVZWVmx5HfQqPqP3oyRm3W7XOqXsgaGIREZ+dXXVZpoA7PBZzPrgm/GRDMsihABrgEVm+/v7Oj091dramkqlklKplD1Tkmz5JDRt9i5ks1ltb2/r/fff/9H5OfIfgFoKNn+/eKYRAkFkB9o2Pmd5eVnFYtHyLnI5Cg/83mh0tc/j3r17unXrlhWavV7PFgmSi/n5HGI9hQf+w4sZ+P/vbaVUKhlQe3BwYHRkL41MV4I8gVjKayOr68WQBoOBFhencukXFxfa3t7Wo0ePFI/HVS6X7fowTJ7L5SzO0ylG0EKSisWiRqORnjx5osePH7+0ebMbV536pgMyJcluBMUF/yR4gOQx28ECGzjKoAw+yOF8UIdgiBD0jeoVypEk07zHCVIosIMhl8upUqkY1YpWNHxpkldQIlBjkgDew2skgz6hfCJNAyuzHiAEJBmVSkWpVMqQaCpr5l7oloC803bMZrPK5/OWVPK64/FY+XxeiURC//iP/6gvvvjihdrCizzY1vHxsVZXV7W2tmY0Io/KckjM2KZN8gwthQBI94xuBdxK2qwe4aOIAPkAnV1aWtLJyYn29vZmkC4GKIfDoSHc1Wp1hjaHpChzNolEQul02pwg3RUQJWk6K9Lr9QxROjs7m5nDSKVSunv3rn1nz2mmvcsshueUgkIVCgWjISSTSRuCXllZ0a1bt9Tv9/XrX/9a29vbL8oEXvhBTpSOA7xt2udQOOgqkdCfnp7aZnj8BfeH9jvdTX4POWeeba47VD/8mp8bgTvthxzxNwAnACS0/r1d0ykbjUaGuvlFb4A4850P/t4HY8QSUqmUdeJYzBYKhbS3t2fxgE51pVKRpJnt0UtLS7ZJGB93dHRkfvE///M/jUb0Yzx8X5IaKHOgqtwX4irFr5+L4XknrkD1w25Ibth7QAcWW2MOJxS62jVAYdtsNg3xRnADajCJoVd25Ofn5+fWoUBaGgASn3p6emozEiSoJIv4qfPzc6McIvGNjTLDWCqVjPJHYUHHP5VK2bwFBTU0bgoaEHDmqyTpnXfe+dH6OeYgPLODa888KQU9zzksE+IJOR3dJmIVCojMwELJ430PDw8NdCVnolj2Q+DQgbnPPAvYESIxPAsUjthjNpu114QanclkTPnOFygA1F6cQpLlC7xXOBy24joavZJHZ6dVp9MxYJjvlMlkVCwWjQ6Oz11eXjbRoVQqpbW1NR0eHurdd99VrVZ7CRYxPS+1o/GsM9/JCIVCZkCe20ZwkjQzTOtVBJCvxVlKst0JINig1Tg9WvtwUQm2DG6DXjP0xHvQfcAg6UqA/GQyGaOu+MVx/B7KSCQTFFg4SB4uCitQku3tbQsCdIXgRHa7XQvs6XRat27dUi6XM1Ui0B0ejo8++kgbGxuvvMrKdZ9kMmmyrRSV8wPZIPl+6BoEmo4Rg2WoKJHMYwdeJcorj0Hbo+PFz6SrxJ3PhOMej8emFY+jJNGjEMXWGFr7i7/4C6X/uK0beVFoWwxY4sihZaXTabM1BsWxGQIFg7uoU+3v7xsyk8/nVS6XbUdGt9vVwcGBotGr3RkHBwf67//+b21sbLzSKis3cUC+6GDS1cRO6JAiPOAHYxk2xA/xN16NBTooMxeg/1ASvAACQ/3cW8ALLzqwtLRkQ5IUSHTn+DmdNWm63NFrzVP0eClLkjGQT4oZOMsMU/Id4cKPRiO1Wi2dnJyoVCoZiJNIJGzY9uLiQn/4wx90cHBgqPz5+bn+53/+R0+ePPnJ2ZzvoHtkl4Rd0gzY56l52KK/13RXocdAUaGD5aWRuf/YGwpQxEPuqRdpmVegIqlCfh7wEIQcewI0Q8wCRgFIN3RpulsUY8ygQblOpVIaDq8WmNVqNfOTqCSRSwASwoVnOJ2OdqPR0IcffmiA5E/xgN7TvZdkIBYLkOlucu2ZfwAopbAgHyL2USijUhePXy0MbLVaRnuj2yBdFZmdTke9Xs9YHHRXsE1JVjgC0OGXECyASsj+CUlGRWRGFr+OD47H4wb28mxBS6YAJy9oNBrqdDoGUNHpwMdRkPV6PduMjvjD+fm5PvnkEzWbzVfC5l65QuPrDsM6JHjz7V6GbRnGQWmDjgSJPAokGI7nRtOC9x0IaA1nZ2dGv2Jzr+f9+RYYRidd0QBor9LWwzGCQLZaLe3v70uSSaDh5P2W7vF4bAkwCA+a0eFw2FClbrernZ0djUajmQdwMLjaSUDXB+Tqf//3f9VoNG5U3uyHcAgazLtAW/OqTiRxIDZ+IJx/ZyiOQEnXgaQcB8OGb+gEDLMxJ4QEIC1jEF940/5zUOwQLOm84CRJxOjKQLcBVSEBgAtNwc5nBBFG5pHkjfmVRqOhra0thcNXe2bW1tasLY76EApTiURCv/nNb7S9vf2TtznOvKQxFFKvlkNhC/rGICQ0O+4pFCVsieQnFotZQiTJCl8GZ5FBvLi4ULfbteBLsQ1CBxhEUB6NrqSQi8WiPQs8PwcHBxqNRkZphUbhO7Ggk9Bl6JLBTaYwwbejZNNoNKzDl8lkdOvWLS0tLen4+Fjdbtdkdyk83nrrLT158uQnb3PYjyTrBnh/QOJH/ADswg9Ch5tMphKzzLkB2EiyIoCOJsUsAgDYZr1eV6fTUSgUUvqPS1B5X3bEJBIJ69x6AYFKpTLjY0GpQZKh10BxYR4A5gFF1OnpqXUtUCNi0zizGJ43T8EFbZC5kHa7bZ205eVl/b//9/8CPycZSEoRKsmefa4jQB40ImY48Ft0/hmexhdSuNApILdrt9va3983ujjxDXWn/f19tdttZbNZU1ADRCP+AWLTKRmNRqpWq0brQoWKpYPQmcgFAFagZiHawTwG4PTx8bGePn1qBa2fZ/Eqg6urq6pWq1peXlaz2VStVjPBg7W1NaXTaf3Hf/yHdnd3Xymb+0EUGhQD4XDYkjGSQKTKoIZAFQFV9YHPSzWCyNKqRVmAhBJUdzi82mDs5UQjkYjy+bxRl5j0Z74hHo8bHxF5RZJEhovhiEI74fMyOJpMJlUqlWwIvtFoqNlszqjA0CpeWFiwAXl2J9AxAdGEKoFSw2Qy0SeffKI//OEPr0TF+6odkjpoQMgdEgDpgrF5HPuCC0xBygblTqejVqtlNBYSOIoVBtC9Mgq2C8qG46DLJ03RyXA4bF0XJCjb7bbxUgmIOPdsNmt8bF6H70WQxoYlWdGxu7urfr+vUqmk27dvKxKJqF6vq9lsWrJBZwe98NPTU/uMjx8/DmzuG44f7KejySwPakIUhblczvyFLy7wS3CP6cJy/yks6Wp4P4RfOTk5UaFQMHCH14jFYrYzhg4aO4bocsDnB7jxMxN09CRZlzaVSlnxA40PmowX3GCHTavVsiFa1IFyuZyhmNBoFhcXdX5+rkePHunp06eBzc0dCkbuC3aHWAkUomQyab4IfjmdVygezBPl83mj28FVp6NPYUqnmFjKawAaep46Co+AidgPFFA/Q0G3ARAG/wpICAjCBnhJM2AdsqWeNuvFVfgcFGqDwUA7Ozva3d01IDSfz+vy8lKfffbZT7Jr9m2HwoLrx7PKtc3n84rH47ZNW5pK3wKqkSv5reCAbRS33H+kr6HhYeNeJtyDyPhXQBHyRIQOeE/skI4EtFAAGOYSEaTA547HY3W7XYvNHMRVYD8AokDjJ7dk1UCtVlO32zUWxPn5ub766qtXNrb+IAoNaSoDOxwOraPgtbBJsHBQVIrSVP6ToTA2PaJUQiETj8dtsK3dbtugKtujUdTAeWHcDBMnEgnrXICEQ6EhCNN2BtFjKA9HBW8azj/fGYUpHCxoDYnv6empyTfyMwbeef/9/X19+umnGgwGpgoUnK8/OBNmDXjgPbWEWQwkR0FbQLyq1aoVdiTucJIZvvU2icb24uKiJZ2SzCEiEQjqyNCd776ApkBvAPHFTvzeDBwZThYhBQpyHO9wOLSigXYy6h1sgsUpU5ShXvTxxx/r4uLilWnjvurHc329BCIJHIkQCRXBDuQfvXZ8FNKI+BO6E5FIxJRbEDLAxih8QXOxJ2gISBbzetAcQJmh0sG5hsaF/yMwUxhR7HgxAj/kDcrdarUsIJNkkKz4Obi3335bR0dHqtVqgc19y8G/MbMB+EFXFX8Dz55OGP7Dz1NABSQZY6jai5z4WQhYCZ45AKLtAURQau4xnQp48iRxiURCmUxGqVTK0GRYEND+kERGKcgr9wEukj/4XUVeIRCaLZ2YlZUVffDBB+r3+9rb2wts7hsOeYsvHnx3FZuCNopNksh7iW8AM5gk3CO6r3QhAHv9HhZ82eXlpcmx46OYiQDwSCaTWltbs24Fha/f40I3GlAGf8vzIE0FhuhyhEIhE4GhQ8OMBoUz/no0GlkXJhaLqVKp6OOPPzY7fJXzuR9MocHBsXDhUYbIZrOGuJFoewdGsUFggz9PNco/4UYTvBgsJHBjtCAb0Jlop/oFP6DJXqIRxR8QZNp6PBSeMiPJlC46nY4NIScSCeOgSjJ1D+hWXu4xGo1qa2tL3W5XT58+faWN8VU9oVDItu/isNCAp/MVi8XsPuIkSfQJTARXHCvSsF61he4Tgcrz4SUZIs3uDwIl9CiCKJxOWq6geBRJXoKQwoPvx3yPJHtdnDIJKbKEFLo4R54fFjvW6/XA5r7HAXUjyNJBw/95aWWKRwI3MtwkZwAOdEUkGV3BF5S08H0A5Pc9Qh2LxWy/Ar+Dv4JbL8kKH9BKigySBnzmxcWFarWazs/PbakqzwzPAZ1lElA43dAAo9GoNjc31e/39fHHHweJ3vc4nlLlAQ7oUqurqzMb5E9OTiweQQWGvkSR7KkfnoIK4EIixfvSdcfu/N4BVCV5FgBGKEIB7UB5me0EmYbeCe2TGI5/o2Dms0UiEd26dcv8JrtFmDk5OzvTxsaGTk9P9X//93+BzX2PE41GjS4OncgDezzb5FgUDlDC/dJQlroid4sP8XZH54D9UOSLSLcvLS2ZeArxdDAYGDWUIpZCpNfrGe2d/+ZV9PDXyNQiQsR8E9dAkvlF5nr5XOQKFDT1el2JRELvvPPOD8bmfnCFBgekD2QVbjkJGFUrhQXOCEOgjQv1COSCQaF2u63JZGKbIlHL8LrOcDGhimA44XDYlgiRMIAOonpBQCYhJAB7dRc2m+PQcY65XE7FYtEeEoan4M/v7u6aJv3HH39s9JfgPP+JRqM2bE3yg8KSl60jMYOHDtIKKsMcAwOFg8FAzWbTJGMJvLwnQRHHy2shVwp3nmKZpM53V0hCfcD0yhmhUEjNZlPtdtsoUKDZxWLREJdUKqVcLqelpSU1Gg1tb28b7WBvb0+PHj0yyktwnu+A1DLDQJINCoZSlF9eBTJIkeoVneiGMAMCFxofRLfz8PDQZid8xw17J3BDvaITWygUTKEMaqGXIKVT4gtuxAkYZEQcwRfFzJbgW9vttlqtltrttjqdjh49ehT4uWs8kUhEmUzGlpthQ8jBg+bSlQBwIzEj7mE7zHzwu5IsIUMWme4AEvCTycTsDRVJ4iRD6xQVMBoQHACMwRefnZ3ZPBxdOD6r315O54Ut5eQXe3t7JvMMe+Cjjz76QW3yfpUPQBrLS+dBCXI2v9+FHAwfBx3Kx0diMwAh/qbZbOrk5MRin6fXQd1DSSyVSll+KE3pg0jgI2VM9xbfR8EcjV4tmNza2pJ01YlGfAh7Q8Tn1q1bKpVKGg6HqtVq6vV6BnD3ej29++67arfbL+cmPcf5wRYa/jBExrI/giKttPQftzGj0OJ5v1AFPGIMJYaADiKD3rP/76ijoFh1fn5uSZ/nCvOAMNgJIgnSAwUAKgvDdx4lj8fjun37tvL5vNHDcKDNZlM7Ozva2dmxAbvg3OwBrSsWi8pmszbIBqpGN+ro6MgQQTi/83xkWvqeCwx1BJUypE7T6fRMJw1b8JxWWv/s2mAA3Wvog2Bi+4gYFItFpVIpKzLy+bzZMA726OhIW1tb2tra0s7Ojo6Pj7W5ufnS7sVP4eDn6GywHAwbgk6HQh7L7/BVvjM1GAzU7XbVarWMi+8lGxmQ9ZLKgDt+fkSSFTDZbFbVatW2//L6Z2dnhgiyb+Do6MgGbSWZXVcqFbM35CahytTrdW1sbOjw8FCbm5u2LyE4N3ugU2JfUIuJnagrgQJDQfJLFuHmQ2mhKyfJlPCgr0CvAuCg4zsYDEzNx1OjkfH2c24nJyfGqScWSzKaKIU4KDZzJ9DEKOJ3dna0ubmps7Mz7e7uqtvtWsIYnJs5oVBIuVzO/B1qedw7wDr+Ryz1kvPn5+e2hNQvY5au7K3b7dpOIvZCIVwC4MtuIuSVkZYFBEGgBTvErqExUwRHIhGzbwp4mAx0SNh9dHh4qMePH6tWq9mA+OHh4Q8+n/tRFBr+gNKiLEUXgdauT7YI2CT30lTdCkQax4dkGtQpkkM4oGwKJ1CDDs5v8+YhoQqH8jUcDtXr9WwwbTQaqVKpqFQqWcJ3584dVSoVLS0t6fLyUvV6XU+fPtX29ra++OKLP9n/EJwXcygMyuWyLWYjSaLlTjIGuoJqGQETxziZTKy4BEFmGQ/dK1ROKCQ8OkfHDhlkryt+cXGhXq8nScYfpUtHe9lvrkfjHJS83++r0WhY14wFQKixBOfFnkgkYjYXiUS0srJi1EnEHwBFKB74PS8BiUwxqF4mk1E2mzUePB1ifCGFDUkloEihULDdRXQz9vf31el0jHpIwUPwZiCSfSt3795VuVy24AwKfXR0pCdPnui9996bUa4Jzos70CRzuZxisdjMACwL1thbAq3NMwjoFHD/KRoAQ1CW6na7pvaDb/PoNItGib2gwnQm4Pt70RgKDYAVui3FYlGVSsW4/v1+X/v7+ybFXa/X9f7771uMD86LPYiiMAjtF+wxr0rn3tPZ8XXkegBziBB4RcWLiwsDgi8uLiyHAkyho7C6uqpsNmvdhbOzM6Pu0fEAHIRWDDgDwJxOp1WtVrW2tqZkMmlFL/TRjY0NNRoNPXr06EcVW390hYY/DLLRVYCHjJOjcmUw0u+cWF1dNRoBw76SrNL1exYYlKT9ivEwGEwbTpIFZR4CkEj+hs/N56K1jMpPp9PRhx9+qH6/r/fff/9HudH2h3zQBpdkKAoceC9RV6lUjLuJLfnNp8xCMAdCgogz9DbtuxO8hx9oYykfmuQkmhQXXuIxGo1qfX1dt27dMtUhNtm22209efIkKGZfsROJRFQoFGY6ul4MAKoBnQnmzqC/zCeFUP2gIfjdCAz9MoeGShFUqkQioWw2a5x5P/OB8goIIMklPjSTyZhq0aNHj/TRRx9pMBjo888/D/zcK3aY4ZFkiZ6f4WBwHEEAaJ90H9iJAO0EsO/09FS7u7umHsU+BSRH8WnMxlFg+G4rSacf+AYgZKCXBBVaaSQS0Zdffql33nnH5hkDP/dqnUgkokqlYqCH34/BPJukmcW0ACps6Qag4++g06N8hqAPtntxcaFMJmOAHTEakBofyzwSCmjSVG7XswGgetERefr0qTY3NzWZTPThhx/+aP3cj7rQ8IeBM7oJGA4bbCXZXAND19CSGArnn3AHJdlcCK1dDIWhMoa0kTrj/XDSUGLC4bBxU6XpciXa0P/0T/9kCHeA5v0wjldloeA8Pj5WLBbT+vq6bbjF6XhZUwZzWYDHUkGPJHoltslkYsOP0eh0iznbfOE4F4vFmUKZdjIa95JsAdrf//3fmzpGYHM/nENXN5VK6datWzo8PLSZNQawsSOoLSSHdODovDHojRrQ4uKizSgRbEGesSe6YFAL52XF6fCFQiGzLZKDf/iHfzBUkKI7OK/+8YOv1WrVQDe684Ar2WzWaM3Q8lhY5oEWr2oF1RS6IPulmKmkK4J/Y0CY18TuKLRJBJnb/Lu/+7uZjfTB+WEcfNPi4qKq1arFNHyOn6+gSPCdXhQbAXOPjo50cXFhHTfkwhGsODo6MrUn5naxPWih+E9ishcyoOgYj8f627/9W/OFPwWb+8kUGt90yuWySXjSuQB9Y6MjCaDnBXqEhSFvhuX84jSGjDKZjHK5nKlj+bYeOsi8T6PR0BdffPEyL0twbvDAAwbJ9bKS7OuQpksksR+SPzpmXgoVpYvT01N1Oh2dn58rlUrp3r17unfvnpaWlowGQ7v2008/NdS6Xq/r888/f8lXJjg3dZgdi8fjun//vmKxmCV80ASgmtA1wzZI9kCy8XN0YzudjkkfgxojmACqzYKr9957z7jNu7u72tjYeNmXJjg3dKAFo2pXKBQM5Ds9PbW5Ry/x7iW3x+OxFaGSbFiXZJACenV11eSefdcskUio3+/rrbfeMvGX/f39HzznPTjPPqFQSPfv35d0xR6pVqsWZ2EP+Flb7M13KOh2QDemaGCPCzQolD/pkGGv8fjVxvlf//rX5kcPDw9/0rM9QaExd7ycI/+TpDfeeEPSlcrKPDJIJ4PqGiUhUBkoKjjIDz74wOTwUMmgGg/OT+9gc5KsaAiHw/rrv/5rLS0t6eTkxFq/XieezhqzQQxX4hyXlpYMaXn//ff1+9//3uxNUsB1/wkfuh7eHkKhkNbW1pTP55VOpw0xZoYjGo2abChdDI/gsWuInQvez/H6Adf9p3ugdxITsT3kTVGowv/Nb4+HGgVVFCU2KDTLy8v64IMP9Pbbb8/YNIqRwfnpHWjB5HGcv/mbvzE6E0WFn9/AT/muL6wWJOYzmYzS6bQ++eQTvffee38yG9Lv91/St371TlBoBCc4wQlOcIITnOAEJzjBufYT/vZfCU5wghOc4AQnOMEJTnCCE5zvdoJCIzjBCU5wghOc4AQnOMEJzrWfoNAITnCCE5zgBCc4wQlOcIJz7ScoNIITnOAEJzjBCU5wghOc4Fz7CQqN4AQnOMEJTnCCE5zgBCc4136CQiM4wQlOcIITnOAEJzjBCc61n6DQCE5wghOc4AQnOMEJTnCCc+0nKDSCE5zgBCc4wQlOcIITnOBc+wkKjeAEJzjBCU5wghOc4AQnONd+/j/YrmVAf77sOQAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "scan_convert = Pipeline([ScanConvert(order=2, jit_compile=False)])\n", "parameters = {\n", " \"theta_range\": [-0.78, 0.78], # [-45, 45] in radians\n", " \"rho_range\": [0, 1],\n", "}\n", "parameters = scan_convert.prepare_parameters(**parameters)\n", "data_sc = scan_convert(data=data, **parameters)[\"data\"]\n", "\n", "n_frames_to_plot = 5\n", "fig, _ = plot_image_grid(\n", " data_sc[:n_frames_to_plot],\n", " titles=[f\"t={t}\" for t in range(n_frames_to_plot)],\n", " ncols=n_frames_to_plot,\n", " remove_axis=True,\n", " vmin=-1,\n", " vmax=1,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Simulate Focused Line Acquisition\n", "We use a simple masking operator to simulate acquiring a set of focused lines from the tissue, where each line reveals a vertical column of pixels, in the polar domain, of the target." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "def simulate_acquisition(full_frame, mask):\n", " measurement = full_frame[None, ...] * mask\n", " return measurement, mask" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Perception-Action Loop" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Initially, we have not yet acquired any measurements, so we draw samples from the prior to drive our actions." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1m90/90\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 48ms/step\n" ] }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "prior_samples = model.sample(n_samples=n_prior_samples, n_steps=n_unconditional_steps, verbose=True)\n", "scan_converted_prior_samples = scan_convert(\n", " data=keras.ops.squeeze(prior_samples, axis=-1), **parameters\n", ")[\"data\"]\n", "posterior_variance = ops.nan_to_num(ops.var(scan_converted_prior_samples, axis=0))\n", "fig, _ = plot_image_grid(\n", " list(scan_converted_prior_samples) + [translate(posterior_variance, range_to=(-1, 1))],\n", " titles=[f\"Sample {i}\" for i in range(n_prior_samples)] + [\"Var[x]\"],\n", " vmin=-1,\n", " vmax=1,\n", " cmap=[\"gray\"] * n_prior_samples + [\"inferno\"],\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, we implement a perception-action loop, using a greedy entropy minimization strategy to select which lines to acquire next in the sequence. Each set of generated posterior samples at time $t$ are used as _initial samples_ for the reverse diffusion at time $t+1$ [1], ensuring that we generate a reconstructed sequence that is coherent over time.\n", "\n", "[1] https://ieeexplore.ieee.org/document/10889752" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "frame_height, frame_width, _ = model.input_shape\n", "action_selector = GreedyEntropy(\n", " n_actions=14, # acquire 25% of measurements\n", " n_possible_actions=frame_width,\n", " img_width=frame_width,\n", " img_height=frame_height,\n", ")\n", "\n", "# select the first actions based on the prior samples\n", "prior_samples_batched = prior_samples[None, ..., 0] # add batch, remove channel\n", "selected_lines, measurement_mask = action_selector.sample(prior_samples_batched)\n", "# initialise the previous samples as the prior samples\n", "previous_samples = prior_samples\n", "\n", "reconstructions = []\n", "measurements = []\n", "for target_frame in tqdm(data):\n", " # perception\n", " measurements_t, measurement_mask_t = simulate_acquisition(target_frame, measurement_mask)\n", " posterior_samples = model.posterior_sample(\n", " measurements=measurements_t[..., None], # add channel dim\n", " mask=measurement_mask_t[..., None], # add channel dim\n", " initial_samples=previous_samples,\n", " n_samples=n_conditional_samples,\n", " n_steps=n_conditional_steps,\n", " omega=10,\n", " initial_step=n_initial_conditonal_steps,\n", " )\n", "\n", " # action\n", " selected_lines, measurement_mask = action_selector.sample(posterior_samples[..., 0])\n", "\n", " # gather the selected measurements and reconstructions for visualization\n", " reconstructions.append(posterior_samples[0])\n", " measurements.append(measurements_t)\n", " # reset the previous_samples\n", " previous_samples = posterior_samples" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "# postprocess outputs for plotting\n", "reconstructions = ops.convert_to_tensor(reconstructions)\n", "measurements = ops.convert_to_tensor(measurements)\n", "selected_reconstructions = reconstructions[\n", " :, 0, ...\n", "] # choose first sample for each frame to display\n", "reconstructions_sc = scan_convert(data=selected_reconstructions[..., 0], **parameters)[\"data\"]\n", "measurements_sc = scan_convert(data=measurements[:, 0, ...], **parameters)[\"data\"]\n", "variances_sc = scan_convert(\n", " data=ops.var(reconstructions, axis=1)[..., 0], **(parameters | {\"fill_value\": 0.0})\n", ")[\"data\"]\n", "variances_sc = translate(variances_sc, range_to=(-1, 1))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Visualize the results\n", "Finally, we visualize our reconstructed sequence, along with the selected measurements and posterior variance at each step. The agent's goal of minizing posterior entropy is reflected in the low posterior variance throughout the sequence. You can see that the agent is quickly able to reduce the uncertainty after the first frame, when it was able to observe using acquisition of the first focused lines." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "# plot image\n", "fig, ims = plot_image_grid(\n", " [data_sc[0], measurements_sc[0], reconstructions_sc[0], variances_sc[0]],\n", " titles=[\"Target\", \"Measurements\", \"Reconstruction\", \"Variance\"],\n", " ncols=4,\n", " vmin=-1,\n", " vmax=1,\n", " cmap=[\"gray\"] * 3 + [\"inferno\"],\n", " figsize=(11, 4),\n", ")\n", "fig.tight_layout(pad=0)\n", "\n", "\n", "def update(frame):\n", " ims[0].set_array(data_sc[frame])\n", " ims[1].set_array(measurements_sc[frame])\n", " ims[2].set_array(reconstructions_sc[frame])\n", " ims[3].set_array(variances_sc[frame])\n", " return ims\n", "\n", "\n", "ani = animation.FuncAnimation(fig, update, frames=len(data_sc), blit=True, interval=100)\n", "plt.close(fig)\n", "ani.save(\"agent_example_reconstruction.gif\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "![Agent example reconstruction](agent_example_reconstruction.gif)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.11" } }, "nbformat": 4, "nbformat_minor": 2 }