{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "(censored_data)=\n", "# Censored Data Models\n", "\n", ":::{post} May, 2022\n", ":tags: censored, survival analysis \n", ":category: intermediate, how-to\n", ":author: Luis Mario Domenzain\n", ":::" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from copy import copy\n", "\n", "import arviz as az\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pymc as pm\n", "import seaborn as sns\n", "\n", "from numpy.random import default_rng" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "%config InlineBackend.figure_format = 'retina'\n", "rng = default_rng(1234)\n", "az.style.use(\"arviz-darkgrid\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "[This example notebook on Bayesian survival\n", "analysis](http://docs.pymc.io/notebooks/survival_analysis.html) touches on the\n", "point of censored data. _Censoring_ is a form of missing-data problem, in which\n", "observations greater than a certain threshold are clipped down to that\n", "threshold, or observations less than a certain threshold are clipped up to that\n", "threshold, or both. These are called right, left and interval censoring,\n", "respectively. In this example notebook we consider interval censoring.\n", "\n", "Censored data arises in many modelling problems. Two common examples are:\n", "\n", "1. _Survival analysis:_ when studying the effect of a certain medical treatment\n", " on survival times, it is impossible to prolong the study until all subjects\n", " have died. At the end of the study, the only data collected for many patients\n", " is that they were still alive for a time period $T$ after the treatment was\n", " administered: in reality, their true survival times are greater than $T$.\n", "\n", "2. _Sensor saturation:_ a sensor might have a limited range and the upper and\n", " lower limits would simply be the highest and lowest values a sensor can\n", " report. For instance, many mercury thermometers only report a very narrow\n", " range of temperatures.\n", "\n", "This example notebook presents two different ways of dealing with censored data\n", "in PyMC3:\n", "\n", "1. An imputed censored model, which represents censored data as parameters and\n", " makes up plausible values for all censored values. As a result of this\n", " imputation, this model is capable of generating plausible sets of made-up\n", " values that would have been censored. Each censored element introduces a\n", " random variable.\n", "\n", "2. An unimputed censored model, where the censored data are integrated out and\n", " accounted for only through the log-likelihood. This method deals more\n", " adequately with large amounts of censored data and converges more quickly.\n", "\n", "To establish a baseline we compare to an uncensored model of the uncensored\n", "data." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# Produce normally distributed samples\n", "size = 500\n", "true_mu = 13.0\n", "true_sigma = 5.0\n", "samples = rng.normal(true_mu, true_sigma, size)\n", "\n", "# Set censoring limits\n", "low = 3.0\n", "high = 16.0\n", "\n", "\n", "def censor(x, low, high):\n", " x = copy(x)\n", " x[x <= low] = low\n", " x[x >= high] = high\n", " return x\n", "\n", "\n", "# Censor samples\n", "censored = censor(samples, low, high)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": { "image/png": { "height": 311, "width": 1011 } }, "output_type": "display_data" } ], "source": [ "# Visualize uncensored and censored data\n", "_, ax = plt.subplots(figsize=(10, 3))\n", "edges = np.linspace(-5, 35, 30)\n", "ax.hist(samples, bins=edges, density=True, histtype=\"stepfilled\", alpha=0.2, label=\"Uncensored\")\n", "ax.hist(censored, bins=edges, density=True, histtype=\"stepfilled\", alpha=0.2, label=\"Censored\")\n", "[ax.axvline(x=x, c=\"k\", ls=\"--\") for x in [low, high]]\n", "ax.legend();" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Uncensored Model" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "def uncensored_model(data):\n", " with pm.Model() as model:\n", " mu = pm.Normal(\"mu\", mu=((high - low) / 2) + low, sigma=(high - low))\n", " sigma = pm.HalfNormal(\"sigma\", sigma=(high - low) / 2.0)\n", " observed = pm.Normal(\"observed\", mu=mu, sigma=sigma, observed=data)\n", " return model" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We should predict that running the uncensored model on uncensored data, we will get reasonable estimates of the mean and variance." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "/Users/benjamv/opt/miniconda3/envs/pymc_env/lib/python3.10/site-packages/pymc/aesaraf.py:1005: UserWarning: The parameter 'updates' of aesara.function() expects an OrderedDict, got . Using a standard dictionary here results in non-deterministic behavior. You should use an OrderedDict if you are using Python 2.7 (collections.OrderedDict for older python), or use a list of (shared, update) pairs. Do not just convert your dictionary to this type before the call as the conversion will still be non-deterministic.\n", " aesara_function = aesara.function(\n", "Multiprocess sampling (4 chains in 4 jobs)\n", "NUTS: [mu, sigma]\n" ] }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", " \n", " 100.00% [8000/8000 00:01<00:00 Sampling 4 chains, 0 divergences]\n", "
\n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 13 seconds.\n" ] }, { "data": { "image/png": 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qhwMC0DI6dapy6inl58rMWcmrr8reAADaMsNBANDGTZlabs4cPzjp2VM4AED7csjBSd++ZW3GzMb0AgAAAACwpcyZW+fRx8raccfK/gBoWSeNTrp1a16vXJmMn9i4fgAA2HyGgwCgDXv8iTpPPFnWRo8SDgDQ/nTuXGXIcWVt+kynlwEAAAAA7ctNN5frPn1WH54EAC1pu+2qDB9W1q4ZV2fVKvkbAEBbZTgIANqwdZ8atMMOyWGHNqYXANjShh5fDsA+9ljywosCCgAAAACg/Zh1Y7nneczRSZcuDgcEoOWdflr5+TJvXnLrbQ1qBgCAzWY4CADaqJUr60y7rqyNGpF06iQcAKB9OuTgZPvtytqMmY3pBQAAAACgpS1YUOfee8vaccfI/gDYMt5/QJUD9i9rV17tYD4AgLbKcBAAtFF3zk5efa2sjRopHACg/erSpcrgwWVtxkwBBQAAAADQPtx0S7KqqXndvXty5MDG9QNA+7fu04NuvyN5/nn5GwBAW2Q4CADaqMlTy82Y9x+Q7LmH4SAA2rehQ8rPuocfSV56SUABAAAAALR9s2aVe51HHZn06CH/A2DLOWFo0qdPWbt2vOwNAKAtMhwEAG3QkiV1Zt1Y1kZ7ahAAHcBhhybbbVvWZsxqSCsAAAAAAC1myZI6d8wua0OOk/8BsGX16FHlpNFlbeKkZPlyA0IAAG2N4SAAaIOmz0yWL29ed+6cnDCscf0AwNbSpUuV444ta9NnCCcAAAAAgLbt1tuSFSua1126JIOOalw/AHQcp55cDqMueD2ZeePbvBgAgFbLcBAAtEFTppY3QR99VLL99k4OA6BjGHp8+Zn30MPJnLkGhAAAAACAtmvmjeUe54c/lPTpI/8DYMvbffcqhx1a1q65VvYGANDWGA4CgDZmzpw6d99T1kaNFAwA0HGsDsXL2sxZjekFAAAAAGBzLVtW57bbytrxg+V/AGw9p51Sfu7cc2/yzJ8MCAEAtCWGgwCgjZkyrVz37p0cPagxvQBAI3TpUuW4Y8vajJnCCQAAAACgbbr9juSNN5vXnTolxx7TuH4A6HgGH5dsv31Z8/QgAIC2xXAQALQhdV1n8tRy82X4sKRbNyeHAdCxDB1Sfvbd/0Ayb56AAgAAAABoe2beWO5tHvzBpG9f+R8AW0/XrlXGnFjWJk1Z/XQ7AADaBsNBANCGPPRw8txzZW30KMEAAB3P4R9Oem9T1mbe2JheAAAAAAA21cqVdW66uawNGSz/A2DrO2Vs+fmzeHFyw4zG9AIAwMYzHAQAbci6Tw3adZfkwA80qBkAaKCuXasce2xZmz7DyWUAAAAAQNty9z2rb75e2+DjGtIKAB3cLrtUGXhEWbvmWvkbAEBbYTgIANqI5cvrXH9DWRs9qkpVOTkMgI7p+CHlZ+D9DySvvCKgAAAAAADajpmzyj3N9x+Q7LiD/A+Axjj15PIz6IEHkyeelL8BALQFhoMAoI249Y/JwoVlbeSIxvQCAK3BwMOTXr2a13WdzJzVuH4AAAAAADbGqlV1Zt1Y1gYfZzAIgMY55uikX7+yds04w0EAAG2B4SAAaCMmTyk3Ww49JBmws3AAgI6rW7cqxx5d1qbPFE4AAAAAAG3Dgw8lr80va0MGN6YXAEiSLl2qjD2prE2ZmixdKoMDAGjtDAcBQBvw+ut1br2trI0aYTAIAIYeX34e3ntf8uqrwgkAAAAAoPWbOavcy9zrfcnuu8kAAWisk8dW6bTWnaVLlybX39C4fgAA2DCGgwCgDbh+erJyZfO6W9dk6PGN6gYAWo+BRyQ9ezav6zqZdVPj+gEAAAAA2BB1XWfmrLLmqUEAtAY77VjlqIFl7ZpxDucDAGjtDAcBQBswZWq5yXLssUnv3k4NA4Du3ascc3RZmz5DOAEAAAAAtG6PPZ7MmVvWBh8n/wOgdTj1lPIz6ZFHk0cfk8EBALRmhoMAoJV77vk6Dz5U1kaPFAwAwJ8NHVJ+Lt5zbzJ/vnACAAAAAGi9Zswq9zAHDEj22btBzQDAOo46Mtlhh7I2brz8DQCgNTMcBACt3NRp5ebK9tsnA49oTC8A0BoddWTSs0fzuqkpmTmrcf0AAAAAALyTuq4zfUZZG3xsUlUOCASgdejcucrYk8rPpanXJW+8YUAIAKC1MhwEAK1YXdeZMq2sDR+WdOkiGACAP+vevcqgQWVt+kzBBAAAAADQOj3xRPL882Vt2FD5HwCty5iTkk5r3WG6dGly/fTG9QMAwDszHAQArdgDDyYvvljWRo0UDADAuoYOKT8f774nmT/fgBAAAAAA0PpcP73cu9x5p+T9BzSoGQB4GzvuUOWogWVt3Hj5GwBAa2U4CABasSlTy02V3XdLDti/Qc0AQCs26KikR4/mdVNTMvPGxvUDAAAAAPBW6rrODTPK2tChSVU5IBCA1ufkseXn04MPJU8+ZUAIAKA1MhwEAK3UihX1eo9jHjWyEgwAwFvo0aPK0YPK2vQZggkAAAAAoHV59LHkxRfL2rDj5X8AtE6Djkr69Strnh4EANA6GQ4CgFbq1tuSRYvK2sjhjekFANqCoUPKAP3ue5L5C4QTAAAAAEDrccM6hxoNGJDsv1+DmgGAd9GlS5UxJ5a1yVOTZctkcAAArY3hIABopaZMKzdSDjk42Xlnp4YBwNsZdFTSo0fzuqkpmXVj4/oBAAAAAFhbXdeZPr2sDTs+qSoZIACt19gx5efU4sXJ9JkNagYAgLdlOAgAWqGFi+rccmtZGzVSKAAA76RHjyqDjipr02c4tQwAAAAAaB0eeTR5aU5ZGzZUBghA6zZg5ypHHF7Wxo2XwQEAtDaGgwCgFZo+I1mxonndtWty/JCGtQMAbcbQ48sg/e67kwULhBMAAAAAQOPdML3cq9x1l2TffRrUDABshFPGlhncvfclz/xJBgcA0JoYDgKAVmjK1HID5ZhBybZ9nBoGAO9m0JFJ9+7N61VNyaybGtcPAAAAAECS1HWdG2aUtaFDk6qSAQLQ+h17TLL99mVt3ATDQQAArYnhIABoZV58qc5995e1USOFAgCwIXr2rDLoqLI2fYZgAgAAAABorIceTubOLWvDjpcBAtA2dO1a5aTRZW3y5GT5cjkcAEBrYTgIAFqZqdPK9bbbJkcd2ZheAKAtGrpOoH7XXcmCBYIJAAAAAKBxbljnEKPdd0v22btBzQDAJhg7pszgXl+YzLqxQc0AALAew0EA0IrUdZ0p08pgYNjQ1SewAAAb5uijku7dm9ermpIbb2pcPwAAAABAx9bUVGf6jLI2bGhSVTJAANqO3XerctihZe3a8Q7oAwBoLQwHAUAr8vAjyXPPlbXRI4UCALAxevasMmidp+5NnymYAAAAAAAa46GHk3nzytqw42WAALQ9J48tP7/uujt5/nk5HABAa2A4CABakSlTyw2TXQYkB36gQc0AQBs2dJ1gffbs5PXXBRMAAAAAwNZ3w/Ryb3LPPZL3va9BzQDAZhhyXLLttmVtwiQZHABAa2A4CABaiZUr61x/Q1kbOSKpKqeGAcDGGnRU0q1b83pVU3LjTY3rBwAAAADomJqa6kyfUdaGHi8DBKBt6t69yqgRZW3ipNX3vAAA0FiGgwCglfjj7cmC18vaqBFCAQDYFL16VRl0VFm7YYZQAgAAAADYuu5/IHn5lbK27pPPAaAtOXlM+Tn26mvJrbc1qBkAANYwHAQArcSUaeUNywcdmOy6q2AAADbV0CHl5+jsu5KFCw0IAQAAAABbz/R1Di16357JXu+TAQLQdu21V5UDP1DWxk2QwQEANJrhIABoBRYvrnPTTWVt1EihAABsjqMHJd26Na9XrUpm3fT2rwcAAAAAaEmrVtWZPrOsDRsqAwSg7Vv36UG3/TF5+WUDQgAAjWQ4CABagRmzkuUrmtdduiTDjm9YOwDQLvTqVeWoI8vauqd0AgAAAABsKfc/kLz6almTAQLQHgwbmvTs2bxuakomTm5cPwAAGA4CgFZhytTyRuVBRybbbefUMADYXEOPLz9P75ydLFxoQAgAAAAA2PJumF7uRe69d7LHHjJAANq+Xr2qDB9W1sZPrNPUJIcDAGgUw0EA0GBz5ta5+56yNmqkUAAAWsIxg5JuXZvXq1YlN97cuH4AAAAAgI5h1ao6M2aWtWHHywABaD9OHlt+rr30UjL7rgY1AwCA4SAAaLRp15Xr3tskg45qTC8A0N706lXlyCPL2vQZTiwDAAAAALase+9LXptf1oYe34hOAGDLeP8Byd57lbXxE+RwAACNYjgIABqorutMmVZujAwdmnTv7tQwAGgpQ9c5jfPO2cnCRYIJAAAAAGDLuWGdQ4r23SfZfTcZIADtR1VVGTum/GybdVOyYIEcDgCgEQwHAUADPfZ48swzZW30SKEAALSkY49OunVtXq9cmdx0U+P6AQAAAADat5Ur68ycVdaGDZUBAtD+jBpR5nArViRTpjWuHwCAjsxwEAA00JSp5WkpO++UfPCgBjUDAO1Ur15VjhxY1qbPdGIZAAAAALBl3H1PMn9+WRs6pCGtAMAWte22VYas8xk3bkKdupbFAQBsbYaDAKBBVq6sc931ZW3E8KRTJ6eGAUBLG3p8+fl6x53JokVCCQAAAACg5U27rtx73G+/ZNddZYAAtE8njyk/4555Jnnwocb0AgDQkRkOAoAGuXN28to6J4aNHikUAIAt4Zijk25dm9crVyY33dy4fgAAAACA9mnZsjozZpW1ESfIAAFovw49JNllQFm7drxD+gAAtjbDQQDQIFOmlRsh7z8g2X13wQAAbAnbbFNl4MCyNn2GUAIAAAAAaFk335osXdq8rqpk+LDG9QMAW1qnTlXGrvP0oBumJ0uWyOIAALYmw0EA0ABLl9aZdWNZGznCYBAAbElDh5SftbffmSxaJJQAAAAAAFrOtHUOCPzQYcl73ysHBKB9O3F00nmtu1HffDO57obG9QMA0BEZDgKABph5Y7JsWfO6cycnhgHAlnbM0UnXrs3rlSuTm25uXD8AAAAAQPuycGGdW/9Y1kYMNxgEQPvXv1+VoweVtfETHNIHALA1GQ4CgAaYMrXcADlyYNK3r2AAALak3r2rDDyirE2fIZQAAAAAAFrG9JmrDyX6s25dk+MHN64fANiaxo4p73t5+JHk8SdkcQAAW4vhIADYyl5+uc7su8raqJEGgwBgaxh6fPmZe/udyaJFQgkAAAAAYPNNu67cazx60OpDiwCgIzhyYPLe/mXN04MAALYew0EAsJVNuz6p19r76NUrOfaYxvUDAB3JsUcnXbs2r1euTG66pXH9AAAAAADtw5y5de65t6yNGGEwCICOo0uXKiedWNamTEuWLTMgBACwNRgOAoCtbMq0ctPj+CFJ9+6CAQDYGnr3rnLE4WVt+gyBBAAAAACwea67vlz37p0MOrIxvQBAo4w5qbz/ZfHiZMbMBjUDANDBGA4CgK3oiSfrPPlkWRs90mAQAGxNQ48vP3vvuDNZvNiAEAAAAACw6aZdV+4xDh2SdOsmBwSgYxmwc5XDP1zWxk+UwwEAbA2GgwBgK5q6zlODdnhvcughDWoGADqoY49OunRpXq9Ykdx0S+P6AQAAAADatiefqvPkU2VtxHCDQQB0TCePLT8D774nee55A0IAAFua4SAA2EpWraoz9bqyNmJ40qmTYAAAtqY+faoMPLysTZ8hkAAAAAAANo0DAgGg2XHHJNttW9YmeHoQAMAWZzgIALaSu+5OXnmlrI0aaTAIABph6PHlZ/DtdySLFwslAAAAAICN09RUZ9r1ZW34CQ4IBKDj6tatyqiRZW3S5GTlSlkcAMCWZDgIALaSKeucGLbfvsle7xMKAEAjHHtM0qVL83rFiuTmWxrXDwAAAADQNt13fzJvXlkbMVwGCEDHNvak8rPw1deS2/7YoGYAADoIw0EAsBW88UadmbPK2sgRQgEAaJQ+faoMPLysTZ/ptDIAAAAAYONMva7cV3zfnsk+ezemFwBoLfbaq8qBHyhr4ybI4gAAtiTDQQCwFdx4c/LGG83rTp2S4Sc0rh8AIBl6fDmoe/vtyZIlQgkAAAAAYMMsX15n+oyyNnJElapySCAArPv0oFtvS15+WRYHALClGA4CgK1gytRyc+PwDyf9+wkFAKCRjj0m6dKleb18RXLzLY3rBwAAAABoW269LVm0qKwNH9aYXgCgtTlhWNKzR/O6qSmZNKVx/QAAtHeGgwBgC3vttTp33FnWRo0wGAQAjdanT5UjDi9rN8xwWhkAAAAAsGEmTSn3Ew89JNl5ZzkgACRJr15VTlhnaHbCxDpNTfI4AIAtwXAQAGxh112/+vSTP+vZIxl8XOP6AQCaDR1SBvV/vD1ZtEggAQAAAAC8s/kL6tx6W1kbPdJgEACsbeyY8rPxhReTe+5tUDMAAO2c4SAA2MImTytvMB48OOnZUzAAAK3BcccmXbs2r1esSG66uXH9AAAAAABtw3XXJ6tWNa+7d0+GHt+obgCgdTrwA8mee5a1cRMc1AcAsCUYDgKALejpZ+o89lhZc2IYALQeffpUOXJgWbvuBoEEAAAAAPDOJk1Z54DA45JttpEDAsDaqqrKyes8PWjmzGThInkcAEBLMxwEAFvQ1HWeGtSvX/KhwxrUDADwloYNLQOJO2cnr78ukAAAAAAA3tpTTzkgEAA21KgRSZcuzevlK5Jp0xrXDwBAe2U4CAC2kKamOlOvK2sjTkg6dxYMAEBrcuzRSbduzetVq5KZNzauHwAAAACgdZs8tTxcqH//5PAPN6gZAGjltt++ynHHlrVrJ9Spa4f1AQC0JMNBALCF3HNvMnduWRvlxDAAaHV69apy9KCydv0NwggAAAAAYH0rV9aZss7TDkaOcEAgALyTk8eUn5NPPpk8+miDmgEAaKcMBwHAFjJ1WnlT8V7vS/bZu0HNAADv6IShZSBx9z3Ja68ZEAIAAAAASnfOTl59tayNdkAgALyjwz+c7LRjWRs/URYHANCSDAcBwBawbFmd6TPL2qiRVapKMAAArdGgo5KePZvXTU1Z77McAAAAAGDy1PJG5v33S/Z6nwwQAN5Jp05VxpxUfl5Ouz554w0DQgAALcVwEABsATfdkixZ0ryuqmTECY3rBwB4Zz16VDn2mLJ2/Q3CCAAAAACg2eLFdWbdWNZOHG0wCAA2xImjV98/82dLliQzHNYHANBiDAcBwBYwZZ0Twz50WLLDDoIBAGjNThhaflbfd38yb54BIQAAAABgtekzkuXLm9edOycnDGtYOwDQpuy0Y5WBR5S1cRNkcQAALcVwEAC0sPkL6vzx9rI2aoTBIABo7QYekfTepqxNd1oZAAAAAPDfJq9zQODRRyV9t5cDAsCGOnnM+of1PfusASEAgJZgOAgAWtgNNySrVjWvu3dPjh/SuH4AgA3TrVuVwceVtetuEEYAAAAAAMkLL9a5976yNnq0wSAA2BjHHJ1sv31ZGz9RHgcA0BIMBwFAC5s8rdy0OO7YpFcvwQAAtAXDhpaf2Q8/nLz4kkACAAAAADq6yVPKfcJtt1395CAAYMN1ZrCAvAABAABJREFU7Vpl9MiyNmlKsnKlPA4AYHMZDgKAFvTss3UefrisjRphMAgA2orDP5xst21Zu2F6Y3oBAAAAAFqHpqY6k6eWteHDVt/gDABsnLFjys/P+fOTm29tUDMAAO2I4SAAaEFTrytPMunbNzni8AY1AwBstC5dqgwZUtauv8FJZQAAAADQkd3/QPLSS2XtxNEGgwBgU+y5R5UPHlTWxk+QxwEAbC7DQQDQQuq6zpRpZW34sNU3GQMAbcfwYeVn9+NPJM8+J5AAAAAAgI5q0uRyf3DPPZID9m9QMwDQDqz79KA/3p7MnSePAwDYHIaDAKCF3Hf/+ieGjRphMAgA2ppDDk76vaes3TC9Mb0AAAAAAI315pt1bphR1kaNrFJVckAA2FRDhyS9ejWvm5qSSZMb1w8AQHtgOAgAWsjUaeUJJnvsnuzvxDAAaHM6d65y/JCydt0NTioDAAAAgI7oxpuTpUub11WVjBrRuH4AoD3o1avK8BPK2oSJdZqaZHIAAJvKcBAAtIDlK5wYBgDtyQnDys/wZ55JnnpKGAEAAAAAHc2kyeW+4OEfTnbYQQYIAJvr5DHl5+lLc5LZdzWoGQCAdsBwEAC0gDvuSBYtKmsjhzemFwBg8x10YLLDe8va9dMNBwEAAABAR/LKK3XunF3WRo80GAQALeGA/ZO99ypr4yfI4wAANpXhIABoAdddX25OHHpIstNOggEAaKs6daoydGhZu/6GpK4FEgAAAADQUUy9Lmlqal737JkMPq5x/QBAe1JVVcau8/SgWTclr78ujwMA2BSGgwBgMy1fkdx+Z1kbNcJgEAC0dcOHlZ/nz7+QPPZ4g5oBAAAAALaquq4zcVJ5c/LQ45OePeWAANBSRo1IunVtXq9YkUyZ1rh+AADaMsNBALCZ5s5NVq5sXnfrmhw/pHH9AAAt44D9kwEDytr1051UBgAAAAAdwQMPJs/8qayNHmkwCABa0rbbVhk8uKyNn1CnrmVyAAAby3AQAGyml+aUGxLHHJP06SMYAIC2rqqqDDu+rN1wQ4QRAAAAANABjJ9Y7gPuukty2KGN6QUA2rOxJ5X32Dz1dPLQww1qBgCgDTMcBACbYenSOq8vKGujnBgGAO3GCcPKz/U5c5MHH2pQMwAAAADAVrFkSZ3rbyhrY06qUlVyQABoaR86LNl557K27pAuAADvznAQAGyGF15cVay32zY58ogGNQMAtLh99k722L2sXXe9MAIAAAAA2rPrpydvvtm87twpOXF04/oBgPasU6dqvacHXXf96gN7AQDYcIaDAGAzvPBiU7E+YVjStasTwwCgvaiqar2nB10/PVm5UhgBAAAAAO3V+Anl/t+gQUn/fjJAANhSThqddFrrbtY33khumNGwdgAA2iTDQQCwiRYsaMrSJWUwMGqkUAAA2psRw8v1/PnJ7Lsa0wsAAAAAsGU9+VSdhx4ua+s+zQAAaFnvfW+VowaWtXWHdQEAeGeGgwBgEz2/zlODdt01+cD7G9QMALDF7LZrlfcfUNamXieMAAAAAID2aN0bkfv1S446skHNAEAHMnZMOYz7wIPJ08/I5AAANpThIADYBE1NyUvrDAeNGlGlqpwaBgDt0Yjh5Wf8rBuTN98URgAAAABAe7J8eZ0p08raSaOTLl1kgACwpR09KHlP37I2fqI8DgBgQxkOAoBN8MqryYoV5QbEyBENagYA2OJOGJp0Wusb9BtvJDff0rh+AAAAAICWd+NNycKFZW3MiQaDAGBr6NKlyujRZW3KlNXDuwAAvDvDQQCwCV56qdx4+MD7k10GCAYAoL3q16/Khz9U1qZeJ4gAAAAAgPZk3IRyz++wQ5Ndd5UBAsDWMvak8nN3wevJTQ7sAwDYIIaDAGAjLV5c55VXytrwE4QCANDejVjn8/62Pyavv25ACAAAAADagxdfqnPn7LJ28hgZIABsTbvvVuXQQ8ra+AnyOACADWE4CAA20qybkqam5nXVKRl8XOP6AQC2jiGDk27dmterViXTZzauHwAAAACg5UycVN543Hub1XuCAMDWNXad4dw77kzmzDEgBADwbgwHAcBGuv6GcsOhf/+kT2+nhgFAe7fNNlWOObqsXXe9IAIAAAAA2rpVq+pMnFTWRo5IuneXAQLA1nb84GSbbZrXdZ1MmCSTAwB4N4aDAGAjvPRSnQceLGsDdhIKAEBHMeKE8nP/nnuTOXOFEQAAAADQlt1+ZzLv5bJ28hgZIAA0Qo8eVUYML2sTJ68e5gUA4O0ZDgKAjTD1unLdpWuV/v0b0wsAsPUddWTSu3dZu/6GxvQCAAAAALSMcePLm4332y/Zd1/DQQDQKOsO6c6dm9w5u0HNAAC0EYaDAGAD1XWdKVPLYGDAzp3SyacpAHQY3bpVGTqkrE29zillAAAAANBWvfJKnZtvLmueGgQAjbX/flX227esjZsgkwMAeCduZwaADfTIo8mzz5W1XXbxUQoAHc2I4eWNAU8+mTz1lDACAAAAANqiCZOSVU3N6x49khEnNK4fAGC1MSeVmdxNNyfzF8jkAADejjuaAWADrfvUoF69qvTd3kcpAHQ0hx6SvLd/WZt2vSACAAAAANqapqY648aXe3vDhyW9e3tyEAA02ojhSbduzeuVK5MpUxvXDwBAa+eOZgDYACtX1rnuhrI2YICPUQDoiDp1qjJ8nZNDp123+kYCAAAAAKDtuOPOZM7csnbKyQaDAKA12LZPlaFDytr4CXXqWiYHAPBW3NUMABvg9juSBQvK2i67dG5ILwBA440YXt4gMGdu8sCDDWoGAAAAANgk14wrby7eZ+/k/Qc0qBkAYD1jTiozuWf+JJMDAHg7hoMAYANMmVoGA9ttl2zTy6lhANBR7btPsuceZW3qdU4pAwAAAIC24pVX69x8c1k79ZQqVSUDBIDW4rBDk113KWvjJsjkAADeiuEgAHgXixfXuXGdYGDnnYQCANCRVVWV4SeU1wPTpycrVwojAAAAAKAtmDgpWdXUvO7RIxlxQuP6AQDWV1XVek8PumF6smSJTA4AYF2GgwDgXcyYlSxf3rzu3DnZccfG9QMAtA4jhpfr1xcmt9/RmF4AAAAAgA3X1FRn3PjypuIThiW9ezsgEABamxNHJ53XutP1zTeT66c3rh8AgNbKcBAAvIup08pgYOARSbduDWoGAGg1dhlQ5cAPlLWp1zmlDAAAAABauzvuTF6aU9ZOPdlgEAC0Rv37VRk0qKyNmyCTAwBYl+EgAHgHc+fVufuesnbCUMEAALDayOHldcFNNydLlwojAAAAAKA1u3adpwbts3fy/gMa1AwA8K7GjikzuYcfTp58SiYHALA2w0EA8A6mTkvqtfYSem+THDmwcf0AAK3LsKFJ57W+Wb/55uoBIQAAAACgdXrl1To33VTWTjm5SlU5IBAAWqujBib9+pW18Z4eBABQMBwEAG+jrutMmVZuJAw9PunWTTAAAKzWt2+Vww8va9OuF0QAAAAAQGs1cVKyqql53aNHMnJ44/oBAN5dly5VTjqxrE2ZlixbJpcDAPgzw0EA8DYefyJ55pmyNmqkwSAAoDRieHl9cPvtyfz5gggAAAAAaG2amuqMG1/u3Z0wLOndWwYIAK3d2BPLz+uFC5Mbb3qbFwMAdECGgwDgbUyZWgYDO+2YHPzBBjUDALRag49NundvXq9qSqZd37h+AAAAAIC3dsedyUtzytopYw0GAUBbsMsuVT50WFkbN8GBfQAAf2Y4CADewsqVdaZdV9ZGjkg6dRIOAAClXr2qDDmurE2eKogAAAAAgNbmqmvKfbt99k4+8P4GNQMAbLSxY8r7dmbflTz3vFwOACAxHAQAb+nO2clr88vaqBEGgwCAtzZ6VHmd8NhjyVNPCSIAAAAAoLWYM6fOLbeWtVNPqVJVMkAAaCuGHJdsu21Zu3acTA4AIDEcBABvacq0cuPggP2TPfYQDAAAb+3DH0r69Strk6cJIgAAAACgtbhmfJ2mpuZ1r17JqBGN6wcA2Hjdu1c5cXRZmzgpWb5cLgcAYDgIANaxdGmdWTeWtVEjDQYBAG+vc+dqvRsJpk5LVq0SRAAAAABAoy1fXmf8hLI2emTSq5cMEADamlPHlp/fry9MZsxqUDMAAK2I4SAAWMfMG5Nly5rXnTslw4c1rh8AoG0Yvc4w8SuvJHfd3aBmAAAAAIA1Zt6YzJ9f1k471WAQALRFu+9e5UOHlbVrxzmwDwDAcBAArGPK1HLD4MiBSd++wgEA4J3ttVeV/fYta5OnCCIAAAAAoNGuurrcpzv0kGSv98n/AKCtOvXk8nP8nnuTp5+RywEAHZvhIABYy8sv15l9V1kbOUIwAABsmHWfHjTzxmTpUkEEAAAAADTKE0/Wue/+snb6afI/AGjLBh+XbL99WfP0IACgozMcBABrmXZ9Uq+1V9CrV3LcsY3rBwBoW4afkHRe65v2m28mM2c1rh8AAAAA6Oiuvqa8Ubjfe5LB8j8AaNO6dq0y5sSyNmlKsmyZASEAoOMyHAQAa5kyrdwkOH5I0r27k8MAgA3znvdUOXJgWZs8VQgBAAAAAI2wZEmdKVPL2sljV99QDAC0baecXH6eL16c3DC9Qc0AALQChoMA4L898WSdJ58sa6NHCgYAgI0zalR5/XDX3cmcuQaEAAAAAGBrmzw1eePN5nXnTskpY+V/ANAe7DKgysAjytrV18rkAICOy3AQAPy3Keuc6r/De5NDD2lQMwBAm3Xs0UnvbZrXdZ1Mu65x/QAAAABAR1TXda66psz/jjkm2WEHw0EA0F6cekr5uf7gQ8njTxgQAgA6JsNBAJBk1ao6064vayOGJ506CQcAgI3TvXuVoUPL2uQpdepaEAEAAAAAW8s99ybPPFPWzjhN9gcA7ckxg5J+/craNeNkcgBAx2Q4CACS3HV38sorZW3USOEAALBpThxVXkf86dnkkUcb1AwAAAAAdEDrPjVo992SD3+oQc0AAFtEly5VTh5T1qZOS5YuNSAEAHQ8hoMAIMmUaeWmwH77Jnu9z3AQALBpPnhQMmBAWZs0WQgBAAAAAFvDK6/WmTmrrJ12apWqkv8BQHszdkyVTmvdCbt0aXLdDY3rBwCgUQwHAdDhvfHG+uGApwYBAJujqqqMXud64robkuXLDQgBAAAAwJZ2zbV1Vq1qXnfvnpw4qnH9AABbzk47VjlqYFm76uo6dS2XAwA6FsNBAHR4M29M3nijed2pUzJ8WOP6AQDah1Ejy/XChcnNtzSmFwAAAADoKFasqHPtuLI2cnjSp4/DAQGgvTrt1PJz/vEnkgcebFAzAAANYjgIgA5v0uTypJCBRyT9+gkHAIDNs8uAKoceUtYmTHJCGQAAAABsSTNmJa++VtbOPEP2BwDt2ZEDk513KmtXXi2XAwA6FsNBAHRoc+bUuevusnbiKOEAANAyxpxUXlfcfkfy8suCCAAAAADYUq64stx/O/SQZJ+95X8A0J517lyt9/Sg6TOS116TywEAHYfhIAA6tMlTk3qtfYDe2yTHHtO4fgCA9uX4wUmvXs3rpqbV1x8AAAAAQMt75NE6DzxY1s443WAQAHQEY05MunVtXq9cmYyb0Lh+AAC2NsNBAHRYdV1n8tTyhJAThiXduwsIAICW0bNnlROGlrUJk+rUtVPKAAAAAKClXXl1ue/23v7J4GMb1AwAsFVtv32VE4aVtWuurbNypVwOAOgYDAcB0GE98GDy/PNl7cTRBoMAgJZ10onl9cXzzyf33d+gZgAAAACgnVqwoM5115W1U0+p0qWL/A8AOop1nxg47+Xk5lsb1AwAwFZmOAiADmvi5PJkkN12Sw78QIOaAQDarYMOTHbfraytex0CAAAAAGye8ROT5Sua1127Jqee3Lh+AICt7/0HVHn/AWXtyqvkcgBAx2A4CIAOadmyOjdML2snja5SVU4OAwBaVlVV6z096IYbkqVLBREAAAAA0BJWrqxz1TXlftuw45O+fWV/ANDRnHFa+fk/+67kT3+SywEA7Z/hIAA6pFk3JUuWNK+rKhk1onH9AADt2+hRSee1voG/8WYyfWbj+gEAAACA9uSWW5O5c8vamWcYDAKAjmjY0GS7bcvaukPEAADtkeEgADqkSZPLL/2HfzjZYQcBAQCwZfTvV+XIgWVt4iQhBAAAAAC0hCuuKvfa3n9A8oH3y/4AoCPq3r3KmDFlbdKUZOlS2RwA0L4ZDgKgw3n55Tp3zi5rJ44SDgAAW9aYk8rrjXvvS557XggBAAAAAJvj6WfqzL6rrHlqEAB0bKedUqVa63JgyZJk6rTG9QMAsDUYDgKgw5kyLWlqal736pUMPq5x/QAAHcPRg5LttytrEycbDgIAAACAzbHuU4O23z4ZdnxDWgEAWokBO1cZdFRZu+qaOnUtmwMA2i/DQQB0KHVdZ9I6N+EOOz7p0cPpYQDAltW1a5WRI8ra5MnJqlVCCAAAAADYFIsW1ZkypaydMjbp1k32BwAd3RmnldcDTz6V3Hd/g5oBANgKDAcB0KE8/Ejyp2fL2omjhQMAwNZx0onldcfLryR33NmgZgAAAACgjRs3IXnjzeZ1507JqafI/gCAZOARya67lLUrr3JoHwDQfhkOAqBDmTSl/JI/YEBy8Acb1AwA0OHss3eV/fcraxMmCSEAAAAAYGOtXFnnD1eWe2tDhiQ77mA4CABIOnWqctqp5XXBjFnJK6/K5gCA9slwEAAdxvLlda67vqydOKpKVQkIAICtZ92nB910c/L660IIAAAAANgYM29M5s0ra+ecJfcDAJqddGLSvXvzetWqZNz4xvUDALAlGQ4CoMO4+ZZk0aKyNnpkY3oBADquESck3bo2r1esSKZd//avBwAAAADW97vflwfuHPiB5KADDQcBAM227VNlxAll7ZpxdVaudHAfAND+GA4CoMOYNLn8Yn/YocnOOwsIAICta9ttqxx3bFmbOEkAAQAAAAAb6oEH6zz4UFnz1CAA4K2ccXp5jfDKK8mNNzWoGQCALchwEAAdwquv1vnj7WXtpNECAgCgMcacVF6HPPZ48vjjBoQAAAAAYEP8/g/lXtoOOyRDBjeoGQCgVdtv3yoHHVjWrrxaLgcAtD+GgwDoEKZel6xqal737CEgAAAa58MfSnZ4b1mbMFkIAQAAAADvZs7cOjNmlrWzzqjSpYuDAQGAt3bGaeV1wt33JE89LZsDANoXw0EAtHt1XWfSOjfbHj8k6dVLQAAANEbnzlVOHF3Wpk5Lli8XQgAAAADAO7ny6ro4FLBHj2TsmMb1AwC0fscPSbbfvqz9/gq5HADQvhgOAqDde+zx5Kmny9qJow0GAQCNddI61yMLFyY33dKgZgAAAACgDVi6tM6148raSaOTbfvI/gCAt9etW5VTTy5rU6YmCxYYEAIA2g/DQQC0e5OmlF/kd9oxOfSQBjUDAPDfdtmlWu+aZPwEAQQAAAAAvJ1JU5LFi8vaWWcaDAIA3t3pp1bp0qV5vXx5cu34xvUDANDSDAcB0K4tX15n6rSyNnpU0qmTkAAAaLyxY8prktvvSF58yYAQAAAAAKyrqanO768o986OHpTsvpvcDwB4d/37VzlhaFm74qo6K1bI5gCA9sFwEADt2o03JwsXlrUTRwkIAIDWYeiQpHfvsubpQQAAAACwvltvS55/vqyde7bcDwDYcGefVV47vPpqMn1GY3oBAGhphoMAaNcmTCxvrj3s0GSXXYQEAEDr0L17ldEjy9qEScnKlQaEAAAAAGBtl/++3DPbe+/kQ4c1qBkAoE06YP8qhxxc1n73hzp1LZsDANo+w0EAtFtz5ta5486yNvYkg0EAQOty8tj1Tyi75dYGNQMAAAAArdAjj9S56+6ydvaZVapK9gcAbJxz1nl60COPJvfd36BmAABakOEgANqtSZOTtQ/22GabZMjgxvUDAPBW9t6rykEHlrVrxzudDAAAAAD+7LLflvtl/d6TjDihQc0AAG3ascckO+9U1n7/B9kcAND2GQ4CoF1qaqozcVL5xX3ECUmPHk4PAwBan1PWeXrQH29P5swRQgAAAADA88/XmTmrrJ19VpXu3eV+AMDG69y5yllnltcRs25KXnpJNgcAtG2GgwBol2bflbw0p6yNPUlAAAC0TsOGJr23aV7XdTJhkgACAAAAAH77+zpNTc3rXr2SU09uXD8AQNs35sSkZ8/mdVNTcsVVsjkAoG0zHARAuzR+YvmFfe+9k/33b1AzAADvokePKiNGlLXxE5KVK4UQAAAAAHRc8+fXmTiprJ16ctKnj0MBAYBN17t3lTEnlbVxE5KlS2VzAEDbZTgIgHZn4cI6N95Y1saeVKWqhAQAQOt1ytjyWuXlV5Lbbm9QMwAAAADQClxxVZ3ly5vXXbokZ58p8wMANt/ZZ1RZ+1aiJUuSiZMb1w8AwOYyHARAuzPtumT5iuZ1167JyOGN6wcAYEPsu0+V97+/rF07zulkAAAAAHRMS5fWueKqsjZyeLLDDoaDAIDNt8suVY49uqz9/g91Vq2SzwEAbZPhIADanfETyy/pxx2bbLedkAAAaP1OXefpQbf9MZk3TwABAAAAQMczYVKyaFFZO+9cmR8A0HLOPqu8tnjhxeSmWxrUDADAZjIcBEC78uhjdR5/oqyNPUlIAAC0DcOGJr16Na+bmlbfBAEAAAAAHcnKlXV++7vy0JyjByV7vU/uBwC0nMMOTfbdp6z9+jd16trhfQBA22M4CIB2Zd2nBu24Y3L4hxvUDADARurVq8rI4WVt3IQ6q1YJIAAAAADoOG6YkcydW9YuPN9gEADQsqqqyvnrPJnwwYeS++5vUEMAAJvBcBAA7cayZXWmTStrJ41OOnUSFAAAbcfJY8trl3nzktv+2KBmAAAAAGArq+s6v/5NeVjOgR9IDv5ggxoCANq1YUOTHXYoa7+53MF9AEDbYzgIgHZj5qxk8ZLmdVUlY040GAQAtC3771dl//3K2tXXCiAAAAAA6BhuvyN54smydsH5VapK7gcAtLwuXaqcd3Z5nXHTzcmf/iSfAwDaFsNBALQbEyaVX8oP/3Cy005CAgCg7Tn91PIa5rY/Ji+8KIAAAAAAoP379W/LfbDddkuOO6ZBzQAAHcLYMUnv3mXtt7+TzQEAbYvhIADahRderDP7rrLmqUEAQFs1/ISk9zbN67pOrhkngAAAAACgfXvkkfUzvwvOrdKpk9wPANhyevWqcvqpZW3y1OTVV+VzAEDbYTgIgHZh4jpPDerTJznu2AY1AwCwmXr0qHLSiWVtwoRk2TIBBAAAAADt168vL/e/+r0nGTmiQc0AAB3KmWdU6dq1eb1iRfKHq2RzAEDbYTgIgDZv1ao6kyaXtVEjku7dnSAGALRdp51SXsu8vjCZPrNBzQAAAADAFvbCC3VmrLP/ddaZlcwPANgq+verMmqdoeSrrk6WLjUgBAC0DYaDAGjzbr8zmfdyWRtzkpAAAGjbdt+9yuEfLmtXXS18AAAAAKB9+u3v6zQ1Na979kxOO6Vx/QAAHc9555b3Gy1enIyf0KBmAAA2kuEgANq8CRPKm2T33y/Zdx/DQQBA23f6aeU1zYMPJY8+ZkAIAAAAgPZl/oI6EyaWtVNPTvr0kfkBAFvPnntUOfaYsnb5H+qsXCmfAwBaP8NBALRp8xfUuemWsjZ2jJAAAGgfjhmUvLd/Wbv6GuEDAAAAAO3LlVfVWb68ed25c3LOWTI/AGDrO3+dpwfNnZvcMKMxvQAAbAzDQQC0aVOmJitXNq+7dUuGD2tcPwAALalLlyqnnlIGEFOvSxYtMiAEAAAAQPvwxht1rriqrI0cnuywg+EgAGDrO/iDyYEfKGu//k2dupbPAQCtm+EgANqsuq5z7bjyi/fxg5M+fQQFAED7MXbM6pNS/2zZsmTSlMb1AwAAAAAtafzEZOHCsrbuif0AAFtLVVW54LzyWuSJJ5Pb/tighgAANpDhIADarHvuTZ59rqydcrKgAABoX/r3qzJkcFm76hqnkwEAAADQ9q1cWee3vyv3uY4+KtlrL5kfANA4xx6T7LZbWfvlpfI5AKB1MxwEQJt17fjyC/ceuyeHHNygZgAAtqDTTy1vhnjuuWT2XQ1qBgAAAABayA0zkrlzy9oF5xsMAgAaq3PnKh+9oLwmuf+B5O57GtMPAMCGMBwEQJu0YEGdGTPL2iknV6kqYQEA0P4cekiy555l7aprnEwGAAAAQNtV13V+/Ztyj+vADzgMEABoHUaOSHbasaz98lL5HADQehkOAqBNmjQlWbGied2tazJ6ZOP6AQDYkqqqWu/pQTfdlMybJ4AAAAAAoG26/Y7kiSfL2gXnOwwQAGgdunSp1nui4Z2zk4cels8BAK2T4SAA2py6rnPt+PKL9vFDku22ExQAAO3X6JFJzx7N61VNybgJwgcAAAAA2p66rvPzX5Z7W7vtlhx7dIMaAgB4C2NOTPq9p6x5ehAA0FoZDgKgzbn7nuS558raKScbDAIA2rdttqkyap0nJV47Llm5UgABAAAAQNty193J/Q+UtQvPq9K5s8wPAGg9unevcu455fXJTTcnTz4lnwMAWh/DQQC0Oes+NWiP3ZNDDm5QMwAAW9Fpp5bhw6uvJbNualAzAAAAALCJ1n1q0I47Zr2DcQAAWoPTTkm23baseXoQANAaGQ4CoE1ZsKDOzFll7ZSTq1SVU8QAgPZvn72rHPzBsnbV1cIHAAAAANqOe++rc/c9Ze0jF1Tp2lXeBwC0Pr16VTn7zPI6ZfqM5LnnZXQAQOtiOAiANmXSlGTFiuZ1t67JaKeIAQAdyOmnleHD3fckTz8jfAAAAACgbfjFr8q9rPf2T8ac2KBmAAA2wJlnJL16Na+bmpJLfy2fAwBaF8NBALQZdV3n2vHlF+vjhyTbbecUMQCg4xhyXNK3b1m7+hrhAwAAAACt34MP1bn9jrJ2wflVunWT9wEArde2faqcfmpZmzwlmTNXRgcAtB6GgwBoM+6+J3nuubJ26imCAgCgY+nWrcrYMWVt0pRk6VLhAwAAAACt2y9+We5hvadvcsrYBjUDALARzj27SrduzetVq5LLfiOfAwBaD8NBALQZ14wrv1DvuUdy8Acb1AwAQAOdenKVTmt9o1+6NJk0uXH9AAAAAMC7efSxOrfcVtbOP69K9+4OAwQAWr/3vKdab6h53PhkzhwDQgBA62A4CIA2Yf6COrNuLGunjK1SVcICAKDj2WnHKsccXdb+cFWdpibhAwAAAACt0y9+Ve5dbb9dctopDWoGAGATXHBela5dm9crV65/jQMA0CiGgwBoE8ZPSFasaF5365qMHtW4fgAAGu3sM8sh6eeeS+64s0HNAAAAAMA7ePKp9Q8CPPecKj17OggQAGg7dtihyqnrDDdPnJQ8/7wBIQCg8QwHAdDqrVxZ5+pryy/RQ49Ptt1WWAAAdFyHHZrs9b6y9ocrBQ8AAAAAtD6/XOdE/T59kjNOa0wvAACb46MXVOnevXm9qim55JcyOgCg8QwHAdDq3XJrMnduWTvjdINBAEDHVlVVzjyjvCa69bbkOSeTAQAAANCKPPOnOjfMKGvnnFVlm23kfQBA29OvX5UzTy9r065bfc0DANBIhoMAaPWuuKr88vz+A5IDPyAsAAAYOXz1KatrW/faCQAAAAAa6VeX1qnX2rLaZpvkrDMa1w8AwOa64LwqPXs2r5uakp/9XEYHADSW4SAAWrVn/lRn9l1lzVODAABW69mzysljytrEScnSpcIHAAAAABrv+efrTLu+rJ15etKnj7wPAGi7tt++yjlnlbUbpiePPyGjAwAax3AQAK3aleucfL/9dsmw4xvTCwBAa3T6qVU6rfXtfunSZNLkxvUDAAAAAH/2q1/XaWpqXvfskZx7tsEgAKDtO++cKr17l7WfXWI4CABoHMNBALRaS5bUmTSlrJ08NuneXWAAAPBnO+9c5dhjytofrqrT1CR8AAAAAKBxXnqpzuR1sr7TT0+2207WBwC0fX36VDn/3PK65sabk4cfkdEBAI1hOAiAVmvylOSNN5rXnTolp54iLAAAWNdZZ5TXSM89l9x+R4OaAQAAAIAkl/66zqpVzevu3ZPzz5H1AQDtx9lnJtttW9Z+/FPDQQBAYxgOAqBVqus6V15dflk+9phkpx0FBgAA6zrs0GSv95W131/R1JBeAAAAAGDuvDoTJ5e1005J+vaV9QEA7UevXlUuvKC8vrn9juTe+wwIAQBbn+EgAFql2Xclf3q2rJ15urAAAOCtVFWVs84sr5Vu+2PyzDOr3uYdAAAAALDl/OrSOitWNK+7dU3OP0/WBwC0P2eclvR7T1n7wY/q1LUBIQBg6zIcBECrdMVV5RfkPfdIPnRYg5oBAGgDRg5P+vQpa7/+7ZuNaQYAAACADmvO3DrjJ5a1k8cm/fsZDgIA2p8ePap87CPldc79DyQ339qghgCADstwEACtzpw5dW6+paydcXqVqhIYAAC8nR49qpw8tqxddc2bWbiwqTENAQAAANAh/erSOitXNq+7dU0+eqGcDwBov04em+y8c1n7wY/qrFrl6UEAwNZjOAiAVufqa+s0rXUPa69eyeiRjesHAKCtOOPUKp3W+qa/dGlyxVXLGtcQAAAAAB3KnDl1Jkwqa6eckvTvbzgIAGi/unWr8qm/KK93nnkmmTy1Mf0AAB2T4SAAWpVly+qMG1/WThqd9OolMAAAeDc77VTl+CFl7dJfv5mVK51KBgAAAMCW98vL1nlqULfkI+fL+QCA9m/4Cck+e5e1n/6szrJlcjoAYOswHARAqzJlWvL6wrJ2+qkCAwCADXXu2eW105w5TZkxU+gAAAAAwJY1Z06dCRPL2qkne2oQANAxdOpU5bOfKa975r2cXHFVgxoCADocw0EAtBp1Xed3fyhvXB14RLLHHgIDAIANdeAHqnzwoLL2m8vr1LUBIQAAAAC2nF9cWmfVquZ1t27JhRfI+QCAjmPgEcmHDitrv7qszqJFcjoAYMszHARAq3H7Hckzz5S1c84SGAAAbKx1nx70yKPJffc3qBkAAAAA2r2XXqozcVJZO+2UpH8/WR8A0HFU1fpPD1q0KLnsN4aDAIAtz3AQAK3G5b8vvwjvuUdy5MAGNQMA0IYdd2wyYOeytu61FgAAAAC0lF++xVODLjjfYBAA0PG8/4Aqxw8pa7/7Q/Lyy7I6AGDLMhwEQKvw1NN1br+jrJ19VpWqEhoAAGyszp2rnL3OExhvvCl54QWhAwAAAAAt68WX6kycXNZOP9VTgwCAjuvTF1fpvNbducuXJz/7uZwOANiyDAcB0Cr8/g/lF+Dttk1Gj2xQMwAA7cCYk6r07t18A0ZdJ7+/QugAAAAAQMv6xa/KpwZ1755ccJ7BIACg49p9tyonjy1rEyYlz/xJVgcAbDmGgwBouPkL6kyZWtZOOzXp3l1oAACwqbbpVeXsM7sXtQkTk4WLhA4AAAAAtIxnn6szeZ2nBp12atLPU4MAgA7uoo9X6dGjed3UlHzvB3I6AGDLMRwEQMNdc22yfEXzukuX5PTTBAYAAJvrgvN7pHPn5vUbbybjxjeuHwAAAADal5/+rM6qpuZ19+7JBefK+QAA+vercs5ZZe2WW5PZdxkQAgC2DMNBADTU8uV1rryq/NI7/ITVX5ABANg8A3bunJEjuhW1P1xRZ+VKoQMAAAAAm+exx+tcP72snX2mpwYBAPzZRy6o0rdvWfvO9+qsWiWrAwBanuEgABrq+huS1+aXtXPPEhgAALSUj32kR7F++ZXkhhmN6QUAAACA9uPHPy1vau29TXLB+XI+AIA/69Wryic/UV4fPf5EMmVqgxoCANo1w0EANExd1/nt78vQ4LBDk333FRoAALSUgz/YNQd/sKz99nd16tqJZAAAAABsmnvvq3PrbWXtgvOrbNtHzgcAsLaxJyV77lnWfvTTOm++KasDAFqW4SAAGuauu5Mnnyxr554tMAAAaGnnnVN+/X/sseSeexvUDAAAAABtWl3X+eGPy5tZ+/ZNzj6zQQ0BALRiXbpU+dxny/uhXnkl+e3vGtQQANBuGQ4CoGEuX+epQbvukhw9qEHNAAC0Y8cekwwYUNbWvRYDAAAAgA1x2+3JffeXtY9/tErPng4BBAB4K0cNTI44vKxd9us6r7wqrwMAWo7hIAAa4qmn69xya1k7+6wqnToJDQAAWlrnzlXOOau8zrr5luTZ5wQOAAAAAGy4pqY6P/5Juae0047JKWMb1BAAQBtQVaufHlStFde98Wby05/J6gCAlmM4CICG+O3l5ZfbPn2SE0c1qBkAgA7gpNFJ722a13Wd/P4KgQMAAAAAG276zOSxx8vaX1xUpVs3BwACALyTffauMubEsjZhUvLkU/I6AKBlGA4CYKubN6/O1OvK2hmnJb16CQ0AALaUXr2qnHJKWZs4KVm4UOAAAAAAwLtbubLOT9Y53X7PPZJRIxvUEABAG3PxX1Tp0aN53dSUfPf7sjoAoGUYDgJgq7v8D3VWrmxed+uWnHWGwSAAgC3trNOrdO7cvF62LLnqmsb1AwAAAEDbMXlK8txzZe3iv6jSubOcDwBgQ/TvX+WC88prp9vvSG651YAQALD5DAcBsFUtXFTn2nFlbcxJSd++QgMAgC1thx2qDBta1v5wZZ1lywQOAAAAALy9Zcvq/Ozn5R7S/vslQwY3qCEAgDbq/HOT/v3L2n99p87y5fI6AGDzGA4CYKu6+prkjTea1506JeedYzAIAGBrOf/c8tpr/vxk0uQGNQMAAABAm3DNtcm8l8vaZz5VparkfAAAG6Nnzyp/+enyGur5F5LLf9+ghgCAdsNwEABbzbJldX5/RXnKxdAhyS4DhAYAAFvLfvtWOeLwsvbry+usXOk0MgAAAADWt3RpnV9eWu4dHXZo1ttjAgBgw4wcnhx0YFn75a/qvPyyvA4A2HSGgwDYaiZNWX0y/douON9gEADA1vaRC8prsBdfTGbOalAzAAAAALRqv/tDsuD1suapQQAAm65Tpyp/+4Uqa19OvfFm8v0fGg4CADad4SAAtopVq+r89vLyC+zhH072309oAACwtX3osOSA/cvaZb+pU9cCBwAAAACavf56nd+sk/Edc3Ry0IEyPgCAzXHAAVXGnlTWpl6X3He/vA4A2DRdGt0AAB3DrBuT518oaxd6ahA03JIlS3Lvvfdm3rx5ef3119OrV6/0798/e++9d/bYY49Gt7fBli9fntmzZ+fZZ5/NsmXL0q9fvxx22GEZMGDAJv/Ou+66K7Nnz06S7Lzzzhk7dmxLtQvQcFVV5cLzk//11eZw4bHHkzvuTAYe0cDGAAAAAGhVfnVZnSVLmtdVlXzqkzI+aI/eKTfcfffdG93eBpMbAm3Jpy+uMn1GncVrXW9987/q/PgHSefOrrkAgI1jOAiALa6u61z2m/JUi/32W/3kIKAx7r333lxyySW54447smrVqrd8zb777psLL7ww55133hbp4YknnshFF12UlStXFvX/+T//50ZtqF9++eX5yU9+kkWLFq33s0GDBuXLX/5ydtlll43qbcmSJfnnf/7nvPLKK0mS//zP/9yo92+qF198MWeccUZRu+2227ba7/rsZz+bu++++x1f07Vr13Tt2jXbbrtt+vbtmwEDBuR973tfDjzwwBx88MHZZpttNqnfJPnf//t/Z+LEiWvWn/zkJ/OpT31qk38f8M4GH5fsumvy/PPNtct+U2fgEYIGAAAAAJKXXqpzxVVlbfgJyT572z+C9mRDc8PTTz89p59+eqqq5f8bIDdcn9zwf2fChAlr1nJD2qu+fav8xSeS//pOeaDf+InJqSc3sDEAoE0yHATAFnfX3ckjj5a1C8+rtsimIfDOVq5cma9//eu56qqr3vW1jz/+eL761a9mwoQJ+V//639lhx12aLE+Vq1alX/5l39Zb4N/Y/3f//t/c/XVV7/tz2+99dZcfPHF+e53v5u99tprg3/v97///TUb/EOHDs3RRx+9WX22JytWrMiKFSuydOnSzJkzJw8//PCan3Xr1i0DBw7MGWeckUGDBvnvPLRynTtXueC85Gv/0Rw2zL4refiROu8/wL+/AAAAAB3dj35aZ8WK5nWXLsnFn7BvBO3FxuaGX/va1zJt2rR89atfzY477thifcgN2y65IbSMM05Lrh2fPPNMc+1HP64z9Phk2z7+3QEANlynRjcAQPv3q8vKpwYNGJAMGdygZqADW7lyZb785S+vt8HfpUuXHHLIIRkxYkSOPfbY7LTTTsXP77jjjnzhC1/I66+/3mK9/PrXvy42hzfF+PHjiw3+bt265cgjj8zw4cOLE7/mz5+ff/zHf8yyZcs26Pc+8sgjufLKK5MkvXr1yhe/+MXN6rMjWb58eW666aZ86UtfykUXXZQHHnig0S0B72LUiKTfe8raZb+u3/rFAAAAAHQYjzxaZ9p1Ze30U5NddnGDKrQHm5ob3n333fnrv/5ruSHvSm4IG65Llyp/8/nyGuv1hclPfyazAwA2jicHAbBFPfBgnTtnl7XzzqnSpYvgALa27373u+s9Hv6cc87JxRdfnG233bao//GPf8zXvva1vPDCC0mSP/3pT/mHf/iHfO9739vsU52effbZ/OQnP1mz7tWrV5YuXbpRv2PlypX5wQ9+sGa966675lvf+taazf2mpqb85Cc/yc9+9rMkyTPPPJPx48fnzDPPfMff29TUlK997WtpampKklx88cUt+sSktuYLX/hChg4dWtSampqyePHiLFq0KC+//HIeeuih3H///Xn00fIRcY8++mg+85nP5Atf+ELOO++8rdk2sBG6d69y9lnJD37UHC7MvDF59rk6u+/meg0AAACgI6rrOt/7QXkz6jbbJB//qP0iaC/khnLDjSU3hC3riMOrDBlcZ+as5tpV1yRjT6qz776uwQCADePJQQBsUT//ZRkc9HtPMubEBjUDHdjTTz+dyy+/vKj99V//db70pS+tt8GfJEceeWR+/OMfZ7fddltTu/vuu3Pdddet99qNUdd1/s//+T9rTuMaNmxY9t9//43+PbfddlteeeWVNev/5//5f4pTvzp16pRPf/rTGThw4Jra+PHj3/X3XnnllXnooYeSJPvuu2/OPffcje6tPdluu+0yYMCA4v923XXXHHDAATniiCNy0kkn5ctf/nJ+8Ytf5NJLL83JJ5+cTp2av2KsWrUq3/zmN3PppZc28G8BvJvTTll9c8ef1XXym8udRAYAAADQUd32x+Suu8vaRy+ssv32bkyF9mBTcsMf/ehHRRYnN+x45Iaw5X3+s1W6dWteNzUlX/9mnaYmuR0AsGEMBwGwxTzySJ3b/ljWLji/SvfuggPY2n71q1+tOdUqSY444ohccMEF7/iefv365f/8n/9T1L7//e9n1apVm9zHFVdckXvuuSdJ0rt373zpS1/apN9z7733rvnz/vvvnwMPPPAtX7f2iV+PPfZY3njjjbf9na+++uqaU8WqqspXvvKVdO7ceZP664j22Wef/NM//VO++c1vpm/fvsXPvve97+X2229vUGfAu+ndu8ppp5S1yVOSV14RNAAAAAB0NKtWrf/UoB3em5z9zg/YANqQTc0N/+mf/qmoyQ15O3JD2DQ771zloxeW91Q98GAycXKDGgIA2hzDQQBsMT//VRkcbL99curJjekFOrK6rnPLLbcUtQsvvHCD3jtw4MB88IMfXLN+8cUXc9ddd21SH3PmzMn3vve9NevPf/7z6d+//yb9rhdeeGHNnz/wgQ+87evW3vxftWpV5syZ87av/da3vpXFixcnSU499dTi782GGzhwYL7zne+kR48ea2pNTU352te+lhUrVjSwM+CdnH1Wla5dm9crViS//Z3hIAAAAICOZtKU5OlnytqnPunwP2gvNic3/NCHPlTkcnJD3o3cEDbeBecluwwoaz/4YZ2FC+V2AMC7MxwEwBbx+ON1brq5rJ1/bpUePQQHsLU9/fTTWbBgwZp1165d86EPfWiD33/ccccV6xtuuGGT+vi///f/ZunSpUmSQw89NKeeeuom/Z4kWbRo0Zo/b7fddm/7uu233/5t37e2O++8M1OnTk2S9O3bN5/97Gc3uTeSvffeO1/+8peL2vPPP58pU6Y0qCPg3fTvV+XE0WXtmmuTBQsEDQAAAAAdxRtv1PnJz8r9oL33TkaOaFBDQIvb3NzwqKOOKtZyQ96N3BA2TvfuVb74N+W9VQteT374Y5kdAPDuDAcBsEX8Yp2nBm27bXL6pu/nAZth3rx5xXq33XZLt27dNvj9++23X7Fe9zSxDTF+/PjcdtttSZJu3brlH/7hH1JVmz4suHb/K1eufNvXrfuzt/p7r1ixIv/+7/++Zv2FL3zhHYMDNsxJJ52UXXfdtahdffXVjWkG2CAXnl+l81q7BG+8mfz+CkEDAAAAQEfxuz8kr7xS1j73l1U6d3b4H7QXm5sb7r333sVabsiGkBvCxjnqyCpDBpe1a8cnDz8itwMA3pnhIABa3FNP15kxq6ydc1aVXr0EB9AICxcuLNa9e/feqPdvu+22xXru3LlZvHjxBr//1VdfzX/913+tWV900UXZc889N6qHda19stcLL7zwtq97/vnni3Xfvn3Xe82vfvWr/OlPf0qSHHbYYTnppJM2qzdW69SpU84+++yi9uCDD+bVV19tUEfAu9llQJXhJ5S1K65MFi8WNAAAAAC0d/Pn17nsN+U+0BGHJwOPkO9Be7K5ueG6r5cbsiHkhrDx/vrzVXr0aF7XdfIf/1ln1Sq5HQDw9gwHAdDifnlp+UW09zbJWWc0qBkgXbp0KdYrVqzYqPcvX758vdrTTz+9we//93//9zVBw1577ZWPfvSjG/W//1b233//NX+ePXv2W/aYlKeVbb/99tlxxx2Ln7/wwgv5xS9+kWT1/zt95Stf2ezeaDZw4MBiXdd1HnjggQZ1A2yIj1xYZe0DGhcvSa68umHtAAAAALCVXPKLOkuXNq+rKvmrzxgMgvZmc3PDt3q93JANITeEjbPjDlUu+lh5LfboY6ufIAQA8HYMBwHQop59ts71N5S1s89KevcWHkCjrPuo+1deeWWj3v/yyy+vV/vziVnv5vrrr8+MGTOSJFVV5R/+4R/StWvXjfrffyuDBg1K9d93ry9cuDCXXHLJeq+ZN29eLrvssjXro48+er3X/Pu//3uWLVuWJLnwwgvzvve9b7N7o9mee+6ZPn36FLXHH3+8Qd0AG+J9e1YZMrisXf67Om+84RQyAAAAgPbq2efqXDOurI0amey7r3wP2pvNzQ3f6vVyQzaE3BA23rlnJ3vuUdZ++OM68+fL7QCAt9bl3V8CABvul5fVqdf6DtqrV3L2mYIDaKQ999yzWL/88suZN29edthhhw16/913371ebcmSJe/6vtdffz3/8R//sWZ95pln5uCDD96g/813s9tuu+Xoo4/OzTffnCS55JJLsmDBgowZMyZ9+vTJQw89lB/+8Id5/fXXk6x+VP0555xT/I7rr78+t912W5Jk5513zic+8YkW6a2lvfjii5v0vnnz5rVwJxuvqqrstttueeihh9bU5s6d28COgA3xsY9UmTGz+YLu9YWrTyE79+wGNgUAAADAFvOjH9dZtap53a1rcvFfyPegPdrc3PCtnvQiN9x65IbQsXTtWuVLf5v89Rebc7vFi5Pv/7DOP/6DazUAYH2GgwBoMS+8UGfatLJ25unJttv6QgqN1K9fv+yxxx7FqV2TJk3Kxz/+8Xd979KlSzNt3X+xs2Gb/N/4xjcyf/78JMl73/vefPazn92Irt/dl7/85dx3331ZtGhRkuSqq67KVVdd9ZavPf/883PAAQesWS9ZsiTf/OY3i9/Vo0ePFu2vpZxxxhmNbmGzbLvttsX6z/9MAK3XfvtWOfqoOrfc1lz79W/rnHZK0r276zoAAACA9uT+B+rMmFXWzjor2WlH+0DQHm1ObvjGG2+sefLP2uSGW4/cEDqeDx1WZfgJda67vrk2cXIydkydgz/oeg0AKHVqdAMAtB+X/LLOqqbmdc8eybln+yIKrcGoUaOK9aWXXrpBJ0R961vfWrOJvralS5e+4/tuueWWTJ48ec367//+77PNNttsYLcbZuedd863v/3t9OvX7x1fd8455+Tzn/98UfvRj36Ul19+OUkyZMiQHHPMMcXP33zzzVx66aW5+OKLM3LkyAwePDinnXZavvrVr+bee+9t0b9He9enT59ivWzZsgZ1AmyMj320vIZ79dXVQQMAAAAA7Udd1/neD+qitu22yUcvkO9Be7apueEPf/jDLF68eL263JANJTeETfP5v6rSq1dZ+/o366xcWb/1GwCADstwEAAt4uln6kyZWtZOOzXZfnvhAbQGZ599dnr37r1mvWjRonzxi198x43+X//61/nFL37xlj/r1OntLyOXLFmSf/u3f1uzHjp0aAYPHrwJXb+7Aw44IL/73e/yl3/5l/nABz6QPn36pFu3btlpp50yatSo/PCHP8yXvvSlVFXzf4see+yx/OEPf0iS9OzZM1/60peK3/nEE0/k3HPPzXe+85088MADWbhwYZYvX545c+Zk8uTJ+cxnPpNvfOMbqWsbbRuiqampWK/9/xdA63XQgVU+/KGydtmvhQwAAAAA7cmsm5L7HyhrF320Sp8+9nGhPdvU3PDyyy9/y5/JDeWGG0puCJumf78qF3+i/PflySeTK9/6AWkAQAfWpdENANA+/PRnddbe7+rZM7ngfBs50Fr06dMn//RP/5T/8T/+x5rak08+mfPOOy+nn356jj766PTv3z/Lli3LY489lnHjxhUnXe2www5FILB2YLCu73znO5k7d+6a1/3d3/3dFvgbNdtmm21y0UUX5aKLLnrX19Z1nX/7t3/LqlWrkiQXX3xxdtxxxzU/nzdvXj73uc/l9ddfT5L06tUrxxxzTLbddts8+OCDeeSRR5Ikl19+ebp3756/+qu/avm/0Dpuu+22TXrfiy++mDPOOKOFu9l4654g17179wZ1Amysj3+0yuy7mi/w5sxNpk5LTjqxgU0BAAAA0CJWrqzz/R+WN7PvvPPqw/+A9k1uuJrccOuTG8KmO+P0ZMLk1UNBf/aTS+oMG5r07+/+LABgNcNBAGy2Rx6pM2NWWTv37KSvpwZBqzJ06NB88YtfzLe+9a01pzItXbo0l112WS677LK3fd9HP/rRvPbaa5kwYcKa2rqPfP+z2bNn5+qrr16z/vznP5/+/fu3zF+gBVx99dV58MEHkyT77LNPzj333OLnX//619ds8O++++75zne+kx122GHNz3/5y1/me9/7XpLk0ksvzfDhw7Pffvttpe7bpkWLFhXr7bffvjGNABvtsEOTgw5MHniwufarX9cZNTLp3Nl1HgAAAEBbdu345Pnny9pffqpKt272faAj2NTc8JxzzsnixYszceLENTW5odxwQ8kNYdN16VLl7/42+asvNA93L12afOf7db76v1y/AQCrvf1zXQFgA/3op+WpYn36JOed44sntEbnnntuvvGNb2SPPfZ419f26tUr//zP/5x/+qd/yssvv1z8rF+/fuu9/s0338y//uu/pv7vx4gdeuihOfXU1nPE4GuvvZbvf//7SVY/ov4rX/lKunRpnpV/4YUXMmtW86TjP//zPxcb/EnysY99LAMHDkyy+rH3l19++VbovO1qamrKn/70p6K28847N6gbYGNVVZWPf7S8pnvuuWTGzAY1BAAAAECLWLq0zs9+XuZ77z8gGXp8Q9oBGmRjc8Mvf/nL+eIXvyg3/G9yw40jN4TNd/AHq5w0uqxdd30y+676rd8AAHQ4nhwEwGa55946t99R1i48v0rv3oaDoLU68sgj8+tf/zqzZs3KLbfckvvvvz+vvfZali5dmr59+2bAgAEZPHhwTjzxxOy9995Jkmeeeab4HQcccMB6v3fSpEl5/r+PGezUqVM+/vGP56WXXnrXfpYvX16sX3/99bz44otr1j169Mh73vOejf1rrufb3/52Fi5cmCQ5+eSTc/DBBxc/v+WWW9YEFHvvvXcOOuigt/w9p512Wm6//fY17+HtPf3001myZElR22effRrUDbApjjoy2W/f5LHHm2u/vLTO0OOTTp1c7wEAAAC0RZf9ps6CBWXtr/6yst8DHdCG5oajR49eMwS07oCH3FBuuCHkhtAyPvuZKrNuqrN4cXPtP79Z5+c/Tbp2dS0HAB2d4SAANlld1/nRT8rTJ/q9Jznz9AY1BGywzp07Z+jQoRk6dOjbvqaqVm8cvfTSS5k3b96a+nvf+971TsZKkmXLlq35c1NTU774xS9uUm/f/va38+1vf3vNevDgwfna1762Sb/rz+66665MmjQpyerH03/uc59b7zWPPvromj9/4AMfeNvfdeCBB6758/z58zN37tzsuOOOm9Vfe/XnMOTPOnXqlA9+8IMN6gbYFFVV5WMfSf7n/6/5mu/Jp5Jbbk2OPaaBjQEAAACwSV55pc5vf1fWjjk6OexQN5NCR7UhueGfzZ07V264FrnhhpMbQsvo27fKZz6VfP0bzdndn55NLv998pELGtgYANAqdGp0AwC0Xbfdntx3f1n72Eer9OwpPID25NZbby3WH/rQhxrUyaZZsWJFERJ8/vOfz3bbbbfe6+bPn7/mz+904ti6P1v7fTRramrKFVdcUdQOOuig9O3bt0EdAZtq8HHJnnuUtV/8ql5zaiIAAAAAbcdPL6mz1j376dQp+ctPy/aADXPHHXcUa7mh3HBDyA2hZZ0yNjlg/7L281/WmTNXdgcAHZ3hIAA2SVNTnR+v89SgnXZc/QUUaF/+8Ic/FOtTTjmlQZ1smssuuyzPPPNMkuTQQw/NmDFj3vJ1y5cv36Dft+7N8Bv6vo5m4sSJef7554vaaaed1phmgM3SqVOVj32kvEHk4UeSO2c3qCEAAAAANslTT9eZMKmsjTkped+ehoOADTNu3LhiLTeUG24IuSG0rM6dq/zdF6tUa13Cvflm8u3vGg4CgI6uS6MbAKBtmjEreezxsvYXF1Xp2lV4AO3JnXfemdmzm+/+3mOPPfLhD3/4LV973nnn5bzzztvo/43Pfvazufvuu9es/+f//J8ZO7ZlJg1ffPHFXHLJJUmSLl265Ctf+Uqq6q3/O9W7d+81f37llVfe9neu+7M+ffq0QKfty5NPPpn/+I//KGq77757Ro4c2aCOgM01bGjyk0uSF19srv38l3WOONy1HwAAAEBb8YMf1mlqal736JF88hP2d4ANc8899+Tee+9ds5Ybyg03hNwQtoz3H1DllLF1rllrZnPmrOS2P9Y56kjXdwDQUXlyEAAbbeXKOj/9WXnaxB67JyNHNKghYIt4880389WvfrWofeYzn2lMM5vo61//epYtW5YkOf/887PXXnu97Wt32WWXNX++//773/Z1DzzwwJo/d+7cOTvttFMLdNp+3HHHHfnCF76QN998c02tU6dO+cpXvpIuXZxNAG1Vly5VPnpBGSTce19y191OIAMAAABoC+66u84tt5W1889N+vdz8yjw7t5888187WtfK2pyQ7nhu5Ebwpb1mU9V2X67svaNb9VZtkx+BwAdleEgADbapMnJn54taxf/RZUuXYQH0JqtXLlyg1+7dOnSfPGLX8zjjzc/Imzo0KEZNmzYlmhti5g+fXpuvvnmJMlOO+2UT37yk+/4+kMOOWTNn5999tnceeedb/m6K6+8cs2f99tvv/Ts2bMFum37nnzyyfzrv/5r/uZv/iavvfZa8bPPfe5zOfzwwxvUGdBSRo9KdtihrP3kZ3XqWsAAAAAA0Jo1NdX53g/KPZy+fZPzz5XtQUe1sbnhl770pTz11FNranLD1eSGb01uCFvHtttW+cvPlNdzL7yYXPabBjUEADScEXwANsobb9T5ySVleLDfvsmQwQ1qCNhgV199daZPn54TTzwxxxxzTPr27bvea5YuXZrp06fnBz/4QV5++eU19Z133jl///d/vzXb3SxLly7NN77xjTXrv/u7v0uPHj3e8T2DBg1Kv3798uqrryZJ/t//9//Nf/3Xf2WPPfZIkjQ1NeX73/9+7rnnnjXvGTNmTMs334q8/vrrefHFF4taU1NTFi9enCVLlmTevHl56KGHcv/99+eRRx5Z7/2dO3fO3/zN3+Scc87ZWi0DW1DXrlU+dmHyH99ovha87/7kztnJEXI8AAAAgFZr2nXJI4+WtU9eVKVXL8NB0FHJDeWGG0tuCK3TSaOT8ROSBx5srl16WZ1RI5JddnGtBwAdjeEgADbK5b9P/nv/a43PfqZKp06+UEJrV9d1Zs+endmzZ6eqqgwYMCC77757+vTpk2XLluXVV1/No48+mhUrVhTv23XXXfPNb34z73nPexrU+cb7yU9+knnz5iVJhgwZkuOOO+5d39OlS5d8+tOfzr/+678mSebOnZsLL7wwhx12WLbbbrs8/PDDeeGFF9a8fo899sjYsWO3zF+glfj2t7+db3/725v03ve///358pe/nAMPPLCFuwIaacxJya9+ncyd21z76SV1Dv9wUlWuBwEAAABamzffrPPDH5cH/+2+WzK2fd/DDryLTc0NBwwYkG9961tyQ7nhRpEbwpbTqVOVv/vb5JOfqdPUtLq2fEXyzW/X+dq/yu8AoKMxHATABnvttTqX/aYMDwYekRxxuC+S0NbUdZ0XXnih2LR+K8OGDcu//Mu/pFOnTqnr+h1f21o8/vjjufzyy5MkPXv2zBe/+MUNfu+pp56aBx54IOPGjUuSrFy5Mnfcccd6r9t+++3z//1//9+7nirW0XTr1i0DBw7MGWeckUGDBtlohHaoa9cqF300+bf/aP5MeODB5I+3J0cd2cDGAAAAAHhLl/8+mfdyWfurz1bp0sX+LbDahuaGxx13XP7xH//xLZ8y1FrJDRtHbghbz777Vjnj9Dp/uKK5duttyY03JYPffR4SAGhHDAcBsMF+9os6b7zRvK6q1U8NAtqGQw45JCeccELuuOOOLFy48G1f17lz5wwcODAXXHBBRo4cmSRZsGDBVupy89R1na997WtZtWpVkuSTn/xkdtppp436Hf/4j/+YvffeOz/96U+zaNGi9X4+cODA/P3f/3122223Fum5rencuXO6deuWPn365D3veU922WWX7LnnnjnooINy8MEHZ5tttml0i8AWduLo5JeXJS+91Fz76SV1jhzo9DEAAACA1uTVV+tcell58NeHP5QcM6hBDQGtxsbmhueff34GDhy4FTvcfHLDLU9uCK3HxZ+oMn16nVdfa6596zt1jjg86dlTfgcAHUVVt/AR8PPnz2/JX9duVVWV7bffPsnqm23bykn8sKH8M97+PPtsnY9eVGdVU3PtxFHJP/2PTo1rqlGWLU6P67+arl27JUlWrFieN0/4atK9d2P7gg1U13WeffbZPP3005k3b16WLFmSqqrSu3fv7L777jnwwAOzzTbbtMn/ls+ZM2fN6V1du3bNRz7ykXTpsmnz8MuWLcvs2bPz3HPPZdmyZenbt28OPfTQDru53x61xX/GYWNsyX/GJ0yq86//Vv6+r/1rlaMHCRfYevx3nI7AP+e0d/4Z33Ct4WRu+Q9tjf/GQMfg3/V39m//0ZRx45vXVZX87EdV9t3XHg5tiGx2i9rQ3LAtkhu2PT7XYfNMnVbnf/9L+e/NRy9MPvOp1nVvl3/XoWPw7zpsmJbOfzw5CIAN8oMfl4NB3bolF39ScABtUVVV2WOPPbLHHns0upUWt9NOO+VTn/pUi/yu7t275+ijj26R3wXQ3owakfzyV8kLLzbXfnJJnUFHeXoQAAAAQGvwxJN1JkwsayeOjsEgoCA33DByQ6AtGDE8GTchufue5tpvLk9OHFVn991dAwJAR9C6RoIBaJXuva/OrBvL2jlnJTvu4IsjAEBH1KVLlYs+Xl4LPvZYctPNDWoIAAAAgDXqus53v1+naa2D/3r0SD7t4D8AgHarqqp86W+rdO7cXFu5MvnPb9We2AEAHYThIADeUV3X+d4Pyi+I222bfOQC4QEAQEc24oRkt93K2k8vqdPUJFwAAAAAaKTbbk/uuLOsXXBelf795XsAAO3Z+/ascu7ZZe3O2cn0mY3pBwDYugwHAfCOZsxMHnyorF308Sq9ewsPAAA6si5dqnziY+U14RNPJjfe1KCGAAAAAMjKlXW++73y8Jb+/ZPzz21QQwAAbFUXfazKDu8ta9/+Tp2lSx3wBwDtneEgAN7WihV1fvjj8ovhLgOS005pUEMAALQqJwxL9ti9rP3kZ3VWrRIuAAAAADTCuAnJM38qa5+5uErPng7+AwDoCHr1qvKFz5XXfi+/klzyC/kdALR3hoMAeFtXXJU8/0JZ+8ynq3TtKjwAACDp3LnKX1xUXhs+/Uwy7frG9AMAAADQkS1eXOenl5Q3fe63bzJqZIMaAgCgIY4fkhxxeFn73R+Sp542IAQA7ZnhIADe0vwFdX6+zokRB34gGTqkQQ0BANAqDT0+2XvvsvbTn9VZsUK4AAAAALA1/eqyOgsWlLXP/1WVTp0c/AcA0JFUVZUv/k2VLl2aa6tWJf/5zTp1LcMDgPbKcBAAb+mnl9RZvKSsfeFzVapKeAAAQLNOnap8+pPlNeJLc5JrxzWoIQAAAIAO6KWX6vzuD2XtuGOSDx0m2wMA6Ih2363K+eeVtXvuTaZd35h+AIAtz3AQAOt56ql6vZs5Rw5PDjpQeAAAwPqOHpR88KCy9vNf1Vm61MljAAAAAFvDD35cZ8WK5nXnzsln/1K2BwDQkX38I1V22rGsffd7dRYvluEBQHtkOAiAQl3X+a/v1mlqaq5175585tPCAwAA3lpVVfnLda4X58/PeqfVAgAAANDyHniwzvU3lLXTT1t9WjwAAB1Xjx5V/uYL5TXhq68lP/u54SAAaI8MBwFQuOXW5M7ZZe2C85IddxAeAADw9g45uMqgo8raby6v8/rrwgUAAACALaWu63z7u+X+S+/eySc+JtsDACA59pisl+FdcWXyxJMyPABobwwHAbDGihV1vvP98ovfe/snF5wnPAAA4N19+uLyunHJkuTSXwsWAAAAALaUG2YkDz5U1j7x8SrbbSffAwAgqaoqf/uFKt26NtdWNSVf/0adupbjAUB7YjgIgDWuujp57rmy9pefrtKzp/AAAIB3t+8+VUYML2tXXJXMmydYAAAAAGhpy5bV+cEPy32XXQYkZ5zWmH4AAGiddtmlyoUXlLX7H0gmT2lMPwDAlmE4CIAkyYIFdX72izI8eP/7s97NnQAA8E4u/kSVzp2b18uXJ5f80nAQAAAAQEv7w5XJS3PK2l/9ZZWuXR38BwBA6SMXVBkwoKx99wd1Fi2S4wFAe2E4CIAkyU9/Xmfx4rL2N5+v0qmT8AAAgA23yy5VTh5b1iZOTJ59TrAAAAAA0FLmL6jzy0vL/ZZDDk4GH9eghgAAaNW6d6/yt18o7wNbsCD58U9leADQXhgOAiCPP17nmmvL2ojhyUEHGgwCAGDjXfSxKt27N69XNSU/+ZlgAQAAAKCl/OzndZYsKWtf+KsqVSXfAwDgrR09qMpxx5S1q69NHn1MjgcA7YHhIIAOrqmpzn9+q05TU3OtW7fkM58SHAAAsGn696ty9pll7YbpggUAAACAlvDss3WuXefgv1EjkgMOkO8BAPDO/vrz5SF/TU3J179Rp6lJjgcAbZ3hIIAObsrU5P4HytrHPlJlpx2FBwAAbLoLzq/Su3dZ++GPhQoAAAAAm+v7P6qzap2D/z51sWwPAIB3t/POVT72kfLa8aGHk4mTGtQQANBiDAcBdGCLFtX53g/LGzR3GZCcf26DGgIAoN3Ytk+VC88vg4Xb70juutuAEAAAAMCmuve+OjfeVNbOPTsO/gMAYIOdf26y665l7fs/rPP663I8AGjLDAcBdGA//Xmd+fPL2t98oUr37sIDAAA239lnJv36lbUf/rhOXQsWAAAAADZWXdf5zvfLfZXtt8t6B7QAAMA76datypf+pryGfH1h8qOfyPAAoC0zHATQQT3xZJ0rryprxxydHD1IeAAAQMvo0aPKJz5WXl8++FBy080NaggAAACgDbthevLww2XtEx+v0ru3fA8AgI0z8Igqxw8pa9eOTx5+xIAQALRVhoMAOqC6rvONb9Vpamqudeua/PXnBQcAALSssWOSXQaUte//sM7KlYIFAAAAgA21fHmdH/yo3E/Zddfk1FMa1BAAAG3eFz5XpWeP5nVdJ//xn3VWrZLjAUBbZDgIoAOadl1y731l7cILkl0GGA4CAKBldelS5eJPlteZzz6XjJvQoIYAAAAA2qArr05emlPWPvuZKl26yPcAANg0O+5Q5aKPl9eTjz6WjBvfoIYAgM1iOAigg1mypM53v1+e7rDzzslHLhAcAACwZZwwNDlg/7L200vqLFni1DEAAACAd7NwYZ1f/KrcR/ngQcngYxvUEAAA7cY5ZyV77lHWfviTOvMXyPEAoK0xHATQwfzs53Vefa2s/c3nq3TvbjgIAIAto1OnKp/7bHm9uWBBculvhAoAAAAA7+YXl9ZZtKisff6vqlSVfA8AgM3TtWuVL/1teV25aFHygx/J8QCgrTEcBNCBPPZ4nd9fUdYGHZUcc3Rj+gEAoOM47NAqxx1T1i7/XTJ3nmABAAAA4O28+FKdK68qa8OGJgd+wGAQAAAt40OHVRl+QlmbMDF56GE5HgC0JYaDADqIVavqfO0/6jQ1Nde6dV391CCnigEAsDV89jNVOq+1E7F8efLjnwoVAAAAAN7Oj39aZ8WK5nWXLslnPiXbAwCgZX3+s1V69ixr3/hWnaYmWR4AtBWGgwA6iKuvSR55tKx97KNVdt1VeAAAwNax++5VTj2lrE2Zmjz6mFABAAAAYF2PPV5n2nVl7YzTkl0GyPcAAGhZ/ftX+cTHy+vMhx9JJk1pUEMA/3/27jxOp/L/4/j7umdjGLvJrhRZkzbaUIoSlSVly062LNnJrux7smtR0SqKSKVdijZZUykh21iG2e/r98f8vsNlBoMZ9z0zr+fj8Xs8fudzzn3OpUffnOu8z+c6AC4azUEAkAUcPGg1Z777wmXJElKzJ3w0IAAAAGRZbVobhYae3rZWeuFFK2tpEAIAAAAAADjT7Lnu85IcOaRWLWkMAgAAQPp4rJFUorhbmz3XKjKSHA8AgIyA5iAAyAKmzbQ6dcqt9eltFBxMeAAAAIArK28eo5bN3fvQTT9K36730YAAAAAAAAD80Pc/WG343q21aGaUOzf5HgAAANJHUJDR093c+82ICGnhSzQHAQCQEdAcBACZ3DffWq373K3VfUCqciPBAQAAAHyjSWMpPNytzZptFR9PsAAAAAAAAOD12mRfDSpQIHEldwAAACA9VatqdNedbu2dd6U//yLHAwDA39EcBACZWFSU1eSp7sQsdy6py1M0BgEAAMB3QkKMOrV370n/2i29v8JHAwIAAAAAAPAjn62Ttu9wa+1aG2XLRsYHAACA9Ne9q1Fw0OntBK80dbqVtTQIAQDgz2gOAoBMbNErVvv/c2tdOxvlyUNwAAAAAN+6/z6pTBm3Nn+h1dGjhAoAAAAAACDriouzmjPffT5SsoT04AM+GhAAAACynKJFjJo+4dY2bpI+/8I34wEAAKlDcxAAZFK/77JautSt3ViZ4AAAAAD+weMxerqr27R+4oQ0dwHNQQAAAAAAIOtavkLau9etdepgFBjI4n8AAAC4clo0MwoPd2szZllFR5PlAQDgr2gOAoBMyOu1mjDJKsF7uhYYKPXtbWQMwQEAAAD8w42VjWrd69ZWfCBt206oAAAAAAAAsp5Tp6wWveI+F6lYQbr7Lh8NCAAAAFlW9uxGXTu775n995/02hvkeAAA+CuagwAgE1q+Qvpti1tr0UwqWZLGIAAAAPiXrk8ZZct2ettaaep0K6+XYAEAAAAAAGQtbyy1OnrUrXXuxOJ/AAAA8I17a0pVbnRrr70h7dtHjgcAgD+iOQgAMpnDh61mz3UnYMWKSi2bExoAAADA/4SHG7Vq6d6rbv5NWv2xjwYEAAAAAADgA0eOWC1Z6tbuvEOqfAMZHwAAAHzDGKOeTxsFnPGmcWysNPNFmoMAAPBHNAcBQCYzY5ZV5Em39kwvo5AQggMAAAD4p8cfk4oWcWsvzrY6eZJgAQAAAAAAZA0vvWIVFX162+OROrUn3wMAAIBvXVvKqMGjbu3zL6TvfyDHAwDA39AcBACZyIbvrdZ+4tbq3C/degvBAQAAAPxXcLDR093ce9YjEdKilwkVAAAAAABA5rdnj9X7K9zaA3WkUqXI+AAAAOB7bdsY5cnt1qbNsIqPJ8sDAMCf0BwEAJlETIzVxCnuhCssTOrWhdAAAAAA/u/OO4xur+bW3npH2r2bUAEAAAAAAGRu8xZYJSSc3g4Oltq1IeMDAACAf8gVZtSxg3t/+tdu6Z33fDQgAACQIpqDACCTeOlVq7173VrnTkZ58xIcAAAAIGN4uptRUNDp7YQEadpMK2tpEAIAAAAAAJnT1m1Wn3zm1ho3kq4KJ+MDAACA/3joQen6Mm5t4UtWR46Q4wEA4C9oDgKATODPv6zeWOLWKlWU6tX1zXgAAACAS1G8mNHjj7m1Dd9Ln33um/EAAAAAAACkJ2utXpzjvkyZM6fUohmNQQAAAPAvAQFGvXq496knT0qz59IcBACAv6A5CAAyOK/XasIkq/j407WAAKnvM0YeD8EBAAAAMpYnWxgVKODWps2wOnmSYAEAAAAAAGQuG76XNv3o1p5sYZQrjIwPAAAA/qdiBaMH6ri1lR9Jv20hxwMAwB/QHAQAGdzKVdIvv7q1Zk9Ipa4hNAAAAEDGExpq1L2rey97+LA0byGhAgAAAAAAyDy83uRfDQovKDVq4KMBAQAAAKnQuaNRaKhbmzrdyuslywMAwNdoDgKADCwiwuqF2e7EqnBhqVVLGoMAAACQcd1bU6p6m1t79z1p23ZCBQAAAAAAkDms/UT6fZdba9fWKCSEnA8AAAD+K39+ozat3HvWrdsSF7gGAAC+RXMQAGRgM1+0OnHCrT3T0yhbNkIDAAAAZFzGGPXuYRQcfLrm9UoTJ1slJNAgBAAAAAAAMrbYWKt5C9xnHNdcLT1Q2zfjAQAAAC5G44ZSieJubfY8qxMnyPEAAPAlmoMAIIPauMlq9Rq3VuseqVpVGoMAAACQ8RUtapJ9EXPbdmnZch8NCAAAAAAAII0sWy7t2+/WOnU0Cggg5wMAAID/Cwoy6vm0e+969Ki08CWagwAA8CWagwAgA4qJsZo4xZ1M5cghde9GYAAAAIDMo+njUskSbm3ufKtDhwgWAAAAAABAxhQZafXyK+6zjRsqSXfe7qMBAQAAAJfgtluN7r7Lrb37nvTHH+R4AAD4Cs1BAJABLX7d6p9/3NpTHY0K5Kc5CAAAAJlHcLBRn97uPe7Jk9KMFwgVAAAAAABAxvTGUqtjx91a505GxpDzAQAAIGPp1sUoOOj0doJXmjbTylqyPAAAfIHmIADIYP7+22rx626tfDnpkfq+GQ8AAACQnqrcaPRgHbf2yWfSdxsIFQAAAAAAQMZy6LDV0rfcWvW7pUoVaQwCAABAxlO0iFGzpm5t4ybps899Mx4AALI6moMAIAOx1mrCZKu4uNO1AI/U9xkjj4fQAAAAAJlTl85GYWFubeIUq6goGoQAAAAAAEDGseglq+jo09sej9SpPRkfAAAAMq4WzYzCw93azBfI8QAA8AWagwAgA/lojfTjT26tyWNS6esIDQAAAJB55c1j1KWTe8+7b580Zz6hAgAAAAAAyBj+/tvqgw/d2kN1pZIlyfkAAACQcWXLZtS9i3tPe+Cg9MpicjwAAK40moMAIIM4dszqhVnupOmqq6S2rQkMAAAAkPk9VFeqfINbe+dd6edfCBYAAAAAAID/mzvfKsF7ejskRGrbipwPAAAAGV/NGtLNN7m1N5ZKf/9DjgcAwJVEcxAAZBCz5lgdPebWevcwyp6d0AAAAACZn8djNKCfUXDw6Zq10vPjrKKjCRYAAAAAAID/2vyb1bov3FqTxlLBguR8AAAAyPiMMerVwygg4HQtPl6aNsPKWnI8AACuFJqDACAD+Olnqw9XurUa1aU77yAwAAAAQNZRvJhRx/buPfCef6V5CwkVAAAAAACAf7LWavZc99lFrlxSsyfI+QAAAJB5XF3SqEljt/bdBumrr30zHgAAsiKagwDAz8XFWU2c7AYG2bNLPboRGAAAACDreayRVLGCW3vzrcQVeAEAAAAAAPzN+u+kn352a0+2MAoLI+sDAABA5tKmlVH+/G5t+kyrmBhyPAAArgSagwDAz72+RPprt1vr2N4oPJzAAAAAAFlPQIDRwH5GwUGna9Z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" ] }, "metadata": { "image/png": { "height": 563, "width": 1667 } }, "output_type": "display_data" } ], "source": [ "uncensored_model_1 = uncensored_model(samples)\n", "with uncensored_model_1:\n", " idata = pm.sample()\n", "\n", "az.plot_posterior(idata, ref_val=[true_mu, true_sigma], round_to=3);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And that is exactly what we find. \n", "\n", "The problem however, is that in censored data contexts, we do not have access to the true values. If we were to use the same uncensored model on the censored data, we would anticipate that our parameter estimates will be biased. If we calculate point estimates for the mean and std, then we can see that we are likely to underestimate the mean and std for this particular dataset and censor bounds." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "mean=12.32; std=3.76\n" ] } ], "source": [ "print(f\"mean={np.mean(censored):.2f}; std={np.std(censored):.2f}\")" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "/Users/benjamv/opt/miniconda3/envs/pymc_env/lib/python3.10/site-packages/pymc/aesaraf.py:1005: UserWarning: The parameter 'updates' of aesara.function() expects an OrderedDict, got . Using a standard dictionary here results in non-deterministic behavior. You should use an OrderedDict if you are using Python 2.7 (collections.OrderedDict for older python), or use a list of (shared, update) pairs. Do not just convert your dictionary to this type before the call as the conversion will still be non-deterministic.\n", " aesara_function = aesara.function(\n", "Multiprocess sampling (4 chains in 4 jobs)\n", "NUTS: [mu, sigma]\n" ] }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", " \n", " 100.00% [8000/8000 00:01<00:00 Sampling 4 chains, 0 divergences]\n", "
\n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 12 seconds.\n" ] }, { "data": { "image/png": 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" ] }, "metadata": { "image/png": { "height": 563, "width": 1667 } }, "output_type": "display_data" } ], "source": [ "uncensored_model_2 = uncensored_model(censored)\n", "with uncensored_model_2:\n", " idata = pm.sample()\n", "\n", "az.plot_posterior(idata, ref_val=[true_mu, true_sigma], round_to=3);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The figure above confirms this.\n", "\n", "## Censored data models\n", "\n", "The models below show 2 approaches to dealing with censored data. First, we need to do a bit of data pre-processing to count the number of observations that are left or right censored. We also also need to extract just the non-censored data that we observe." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "(censored_data/model1)=\n", "### Model 1 - Imputed Censored Model of Censored Data\n", "\n", "In this model, we impute the censored values from the same distribution as the uncensored data. Sampling from the posterior generates possible uncensored data sets." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "n_right_censored = sum(censored >= high)\n", "n_left_censored = sum(censored <= low)\n", "n_observed = len(censored) - n_right_censored - n_left_censored\n", "uncensored = censored[(censored > low) & (censored < high)]\n", "assert len(uncensored) == n_observed" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "/Users/benjamv/opt/miniconda3/envs/pymc_env/lib/python3.10/site-packages/pymc/aesaraf.py:1005: UserWarning: The parameter 'updates' of aesara.function() expects an OrderedDict, got . Using a standard dictionary here results in non-deterministic behavior. You should use an OrderedDict if you are using Python 2.7 (collections.OrderedDict for older python), or use a list of (shared, update) pairs. Do not just convert your dictionary to this type before the call as the conversion will still be non-deterministic.\n", " aesara_function = aesara.function(\n", "Multiprocess sampling (4 chains in 4 jobs)\n", "NUTS: [mu, sigma, right_censored, left_censored]\n" ] }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", " \n", " 100.00% [8000/8000 00:05<00:00 Sampling 4 chains, 0 divergences]\n", "
\n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 16 seconds.\n" ] }, { "data": { "image/png": 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rUFhatCR1+QAAAAAojeEgAAAAoAG5fNegNm2kQQNTlAwA1GE9exj16eOOLVrCKocAAAAAAAD1TTRq9fs/uus6LVtKd93JYBAAVJfsbKMJ49yxV1+zisWoqwMAAAB1BcNBAAAAQANhrdWKHHds0gTJcWiAAkA8My/bPWjd69KFCzQyAQAAAAAA6pNly6WPd7tjn3nAKD2d2jgAVKcbb3A/Vw8fkd59L0XJAAAAACiF4SAAAACggdi6TTp61B2bNJHmJwAkMnmi5PUWvw6FpJzVKUsHAAAAAAAAFRQMWv3lMfdiL927STNnpCYfAGjIBg2UevZwx+a9yoJbAAAAQF3BcBAAAADQQKzMcRffO3WS+vZJUTIAUA9kZRldd607tngJjUwAAAAAAID64oWXpBMn3bEvft7I42HhLACobsaYUrsHvbFeOn6CujoAAABQFzAcBAAAADQA0ajVylXu2OSJRUV6AEBiM6e7n5MfbZEOHKSRCQAAAAAAUNedzbV66hl3HWfYVdI1I1OUEAA0AtOmSOnpxa9jMWn+AmrqAAAAQF3AcBAAAADQAHy4STp92h2bNJHBIAAoyzUjpawsd2zxUhqZAAAAAAAAdd3jT1jl5bljX/y8YdEsAKhBGRlG06a4Y/MXSpEIdXUAAAAg1RgOAgAAABqAlTnugnvPnlL3bjRAAaAsXq/R1Mnu2NKlRTuyAQAAAAAAoG46eMjqlVfdsamTpb59qIsDQE278Qb3s/b0aWnd6ylKBgAAAMAlDAcBAAAA9VwkYrV6jTs2mV2DAKDcZkx3PzNPnJTe/yBFyQAAAAAAAKBMf/qLVTRa/Nrvkz77GeriAFAbevU0GjTQHZv3GgtuAQAAAKnGcBAAAABQz727QTp33h2bNDE1uQBAfdS7l1Gvnu7Y4iU0MgEAAAAAAOqirdtKL5h16y1Su3YMBwFAbblxjvuZu+F96cAB6uoAAABAKjEcBAAAANRzK1a6C+39+0kd2tMEBYCKmHnZ7kFr1kl5eTQyAQAAAAAA6pq/POau2TRrJt1zNzVxAKhN48dJzZu5Y+weBAAAAKQWw0EAAABAPRYMWq173R2bPIkmKABU1JTJksdT/DoYlFatTlk6AAAAAAAAiOODjVbvvueO3XO3UdOm1MUBoDYFAkazZrpji5ZIhYUMCAEAAACpwnAQAAAAUI+tf0vKzy9+bYw0cXzK0gGAeis72+jaa9yxRUtoYgIAAAAAANQV1tpSuwa1bCndfGNq8gGAxu6G692DmRcvSitXpSgZAAAAAAwHAQAAAPXZihx3I3ToEKlVK1ZIBIDKmDHd/fzctFk6dIgBIQAAAAAAgLrg7XeK6jUl3XePUSBATRwAUqFjR6MRV7tj816lpg4AAACkCsNBAAAAQD2Vn2/15np3bPIkmqAAUFnXXSM1b+aOLVlGIxMAAAAAACDV4u0a1K6tdP2sFCUEAJAk3XSDuze5bbu0fQd1dQAAACAVGA4CAAAA6qk166RQqPi1xyONH5u6fACgvvP5jKZMdscWL5ViMRqZAAAAAAAAqbT2dWnHTnfsgfuNfD4WzAKAVLr2GqlNa3eM3YMAAACA1GA4CAAAAKinli13F9ZHXC01b04jFACqYsZ093P0+HHpg42pyQUAAAAAAABSNGr118t2DercWZo2JUUJAQAu8XqN5lzvrqsvXylduMCAEAAAAFDbGA4CAAAA6qFTp602vO+OTZ3CYBAAVFWf3lLPHu7Y4qU0MQEAAAAAAFJl5Spp7z537KH7jbxeauIAUBfMniV5PMWvg0FpybLU5QMAAAA0VgwHAQAAAPXQyhwpFit+nZ4ujRmVunwAoKEwxmj6NPcXS1avkfLzGRACAAAAAACobZGI1d/+7q7L9OwhTZyQooQAAKW0amk0ZrQ79uprVtZSVwcAAABqE8NBAAAAQD20bLm7mD52jJSWxiqJAFAdpk6WPCUqJoWF0qo1qcsHAAAAAACgsVqyVDp02B37zINGjkM9HADqkptucD+X9+2XPtiYmlwAAACAxorhIAAAAKCe2b/fasdOd2zaFBqhAFBdWrY0GjnSHVu8hBUOAQAAAAAAalMoZPX3J9w1mX5XSKNHpSghAEBCV10pdensjs17jbo6AAAAUJsYDgIAAADqmWUr3IX0FtlFBXcAQPWZMc09dLnxQ+nIURqZAAAAAAAAtWX+Aun4cXfs4YeMjGGxLACoa4wxunGO+/m8dp10Npe6OgAAAFBbGA4CAAAA6hFrrZatcMcmT5K8XpqhAFCdRl0nNW3qji1ZmppcAAAAAAAAGpvCQqsnnnJ/oXzoEOnq4SlKCABQpunTJb+v+HUkQl0dAAAAqE0MBwEAAAD1yEdbpKNH3bGpkxkMAoDq5vcbTZ7kji1eahWLscohAAAAAABATZs7Tzp9xh37zIPsGgQAdVmzpkbjx7lj8xdYWUtdHQAAAKgNDAcBAAAA9ciyFe7ieefOUt++KUoGABq4mdPdXzY5elT6cFOKkgEAAAAAAGgk8vKsnn7GXQsfcbU0dAiDQQBQ110/2/2sPnBQ2rQ5RckAAAAAjQzDQQAAAEA9EYlY5eS4Y9OmsFIiANSUK/pK3bq5Y4uXssIhAAAAAABATXrhJenceXfs4YeogwNAfTB0SNHihiW9toC6OgAAAFAbGA4CAAAA6om33yndEJ0yKTW5AEBjYIzRjGnuL56sWiXl59PIBAAAAAAAqAkXL1o9/4K79jJmlNTvCoaDAKA+MMbo+lmX1dVXS+cvUFcHAAAAahrDQQAAAEA9sWy5u2g+cIDUsSMNUQCoSdOmSE6J6klBobRmXeryAQAAAAAAaMhefkW6mOeOPfQgdXAAqE9mTJO83uLXoZC0fHnq8gEAAAAaC4aDAAAAgHogP9/q9TfdsSmTaYgCQE1r1cpoxNXu2JKlrHAIAAAAAABQ3fLzrZ5/0V13GT9W6tWTWjgA1CfZ2UajR7ljry20spbaOgAAAFCTGA4CAAAA6oE166RgsPi1xyNNnJC6fACgMZkxzf0FlA3vS8eO0cQEAAAAAACoTq+8Kp0/747ddw+DQQBQH82Z7X5+794tbdueomQAAACARoLhIAAAAKAeWLbc/SX0kVdL2Vk0RQGgNoweJTXJdMeWLEtNLgAAAAAAAA1RYaHVs8+76+CjR0m9e1MHB4D6aPgwqX07d2z+AhbdAgAAAGoSw0EAAABAHXfqtNWG992xqVNoiAJAbQkEjCZPcscWL7GylkYmAAAAAABAdXh1vpSb647dz65BAFBvOY7RrJnu5/iKlVJ+PnV1AAAAoKYwHAQAAADUcStzpFis+HV6etGKiQCA2jN9mruJefiItGlzipIBAAAAAABoQIJBq2eedX9Z/JqR0hVXMBwEAPXZrBmSU+LbiQWF0oqc1OUDAAAANHQMBwEAAAB13LLl7qbouLFSWhpNUQCoTQP6S106u2OLl7DCIQAAAAAAQFUtWCidPuOO3X8vNXAAqO9atza69hp3bP4C6uoAAABATWE4CAAAAKjD9u+32rHTHZs6maYoANQ2Y4xmTHc/f3NWS4WFNDIBAAAAAAAqKxSyevqyXYOGD5MGDqAODgANwfWz3c/zbdulXR9TVwcAAABqAsNBAAAAQB22bIW7ON4iW7rqyhQlAwCN3LQpkinRx8zPl9auS10+AAAAAAAA9d2iJdKJk+4YuwYBQMNxzQipVSt3jN2DAAAAgJrBcBAAAABQR1lrtWyFOzZ5kuT10hgFgFRo08bo6uHu2KIlNDEBAAAAAAAqIxKxeuppd21l6BBp6BBq4ADQUHi9RrNmuGPLlkuFhdTWAQAAgOrGcBAAAABQR320RTp61B2bOpmmKACk0ozp7ufwhvel4ydoYgIAAAAAAFTU0uXSsePuGLsGAUDDM3umkSnxeL+YJ61ak7p8AAAAgIaK4SAAAACgjlq2wv1l8y6dpb59U5QMAECSNHa0lJlZ/Npaaemy1OUDAAAAAABQH0WjVk89466BDxooDbsqRQkBAGpM+/ZGVw93x+YvYNEtAAAAoLoxHAQAAADUQaGQ1cocd2zqFCNjWDURAFIpEDCaOMEdW7TEyloamQAAAAAAAOW1Zp108KA7du891MABoKG6fpb7+b5ps7RvP3V1AAAAoDoxHAQAAADUQevfks6fd8emTE5NLgAAt5nT3U3MQ4ekLVtTlAwAAAAAAEA9Y63VU0+7vxDeu5d0zYgUJQQAqHGjR0lZWe7Y/IUMBwEAAADVieEgAAAAoA5astRdDB8yWOrYgRUTAaAuGDhA6tTJHVu0hCYmAAAAAABAebzzrrRzlzv26bvZNQgAGjKfz2jmdHds6VIpFKK2DgAAAFQXhoMAAACAOiY31+rNt9yxGdNoigJAXWGMKfVcXpkjBYM0MQEAAAAAAMry5GW7BnXqJI0fm6JkAAC1ZvYsd10995y07o0UJQMAAAA0QAwHAQAAAHXMihwpGi1+7fdL48elLh8AQGnTpkolF7PNy5PWvZ66fAAAAAAAAOqDTZutNn7ojn36U0YeDwtkAUBD16Wz0dAh7tj8BSy6BQAAAFQXhoMAAACAOmbJUncRfOwYqUkTGqMAUJe0a2t01ZXu2KIlNDEBAAAAAACSeeqyXYNatypahAUA0DjMme3ueb63QTp8hNo6AAAAUB0YDgIAAADqkL37rLbvcMemT2UwCADqopnT3c/nd9+TTpygiQkAAAAAABDPro+t3nzLHbvzDiOfjxo4ADQW48ZKTZu6YwsWUVcHAAAAqoM31QkAAAAAKLZ0SURdMg+pffoRtUk/rnbNz2tULCjnbSv50mW96bJNWiuW3U22eWfJqSP/L33heTnnDsqcOyxTcFomXCBFgpI/Q9bfVLZZB0Xb9JfSmlX9vfLPyHP4PTkXjkvhfNm0ZrJZXRXtcJXkS6v0Pf0bn3GFIj0nKNZ2QNXzRcVZK3P+iJxzh2TyTsgUnC36fYpFij4HvnTZ9Bay2d0Uy+oqef2pzrjuKTgr58weObkHZIIXpXC+ZBzJlyEbaKpYdlfFWvaS/Jk19v6eE9tkzh2SCZ6XoiHJmybrbyLbtL1iWZ1ls7pKJrVf/DB5J+Wc3i1z/rBMKO+fPyePrD9TSmuuWIvuimX3SPhsGTtGysiQ8vOLXlsrLVoi3X9viZNiUcUOfSAd2yrfmSOyxiOb0VLR9kNks7tWOnfPziXynPr40msbaKLwsPsrfT8AAAAAAICa9tQz7i9/N28mXT+rAjcI5RXVDM8dksk/JRPKlyKFRTVDfxPZJm0Va9tfNqNl9SZeX9mYnONbZc4flpN/SgrlyaZlyWa2UqxFd9ns7lV/D+r1QNkiQTnHNss5f1imMFeKBGXTs2UzWinWspdsVudUZxhf/hl5jm+RyT8tk39KcryyGa1kM1sr2n5IpT/jgYDRtKlWc1+Oql/WVvVptkPNNuXK845XpkkraucAAABAFdSRbxICAAAAdY85d1jO8c3yHNss59hH8pzYUvTl8QTyHloh27xjhd/H8/EKeQ68Jc+RD/SVC7v1zUlB9wnr419nfRmKdrlWkb4zFOkzXXI8FX7vyjJn98q793U5R96X5/hHcs4dKtd10VZ9FBlwk8L9b5DSsyv0ns7JHfK/8X/y7Fkjo9IriFlPQOFBtyp07ZcqfO/A2v+Vb+url17HmrZXaPgDFbpHQ2UuHlfs6FuyhzcqsO9deY5/JFN4LuH5Bbc9rmjnERV+H8+Bt+TZu1aeIx/IObVTJpxfruusx69op6sV6T1Fkf43St5Ahd+7oTB5J+X78Dl5di2X5/SuMs+3Moq1H6JIn2kKD7qt6oNCwQvybX5J3u0L5JzYFvdz6np/fxNF2w9RtNtohfvNkTJaVO39y8mc3S/fphfk/Xi5nHMHyzzfGo+ina9WpM8MRQbcKHmKh9HS040mTbSav6D4/IWLrO79tOQoKt/7T8r33t8UzT8lSbp8jC3aqq9Co76qaM+JFfsznNmrtMXflomGL8WC479boXsAAAAAAADUpkOHrFatdsduvcUoIyPx4jHmwlF59q6T5/B78hz7SObsvjJrTpIUa95F4f5zFBl4q2zTtpXOubZ6BNXNObVLvg3/kGfvGjn5pxOeF8vupkivKUW1cOr1dZb/zd/J/9bvq+1+F7/8Xs0tGlVHpL9wrzyH3q2Re5f7c26tPHtXy/f+k/Ic3iATDSU8Ndqyp6K9phb9ngeaJjyvVkTDRfXzHQvlHP1Qxsbinma9aYp2uVbhwbcr2mN8xd4jFtGDfZ7Q56f+Ta3SSjyjXi+RBrVzAAAAoFIYDgIAAABKcE7ukH/dL4oGIArO1sp7BnJ+LOficUmSpwLzPSacL+/ulfLuXqnY+t+pcOqPFes4rIayLJY297Py7ltXqWs9p3bKs+an8r/9qILj/lWRATeV6zrvjkUKLPmuTDSY8BwTDcq/8Wl5d+eo8KZHFWvVp1z3dg6952o0SlJw/HcafHMsGXPhuAI5/ynn+EdyLh5X9J/xmvwPSP+bv5XnyPsVvs5EQ/Luf0Pe/W8o9tYfFZzw74r2nlIDGdZtvnf+Iv/bj5Z7qEqSjKw8RzfKc3SjfO/+VaHx31Hkioos1fpPNibfxmflf/PXMsEL5X//0MXiv7um7RXtM63i710R0bD8634h38ZnZGLhss//J2Oj8h54S94Dbyn27l8UnPxDRbted+n49bOM5i8o/gLE0WPSxncu6LoDX5H30DtJ7+05tUPpr35JoWH3KzTuX8udUyDnR67mZrRNP4WH3lXu6wEAAAAAAGrbM89bxUp8xzw9XbolSXk4sPKH8n34XKXeyzl3QIH1v5P/3ccUuu7LCl91X7kX17IF5+Qc3azMx6YU7fBRn4Tz5X/9/+T78FmZWKTM052z++R/9y/ybX5BwVFfU2TIneV6G+r1QHLm7D6lLfqmPMe3lOt8z+nd8pz+o7ybnldo7DfL3Turbp4DbyuQ8yM5Z/aUea6JFMq7Z5W8e1Yp0n2sghP/o3xDU8ELSnv1y2py6B0pycZD1M4BAACAynFSnQAAAABQl5hzB+Xdt67WBoOqi3N2n9JfekCej1fU+HuZgjNVv0fhOaUt/a78a39W5rnO4fcVWPxvpRqNkZ6TFLr6M4q2HeQ+/8JRpc37glSev8NYRIGVP3Lft/u4RjlcUpIpOCPv7pWXhtbqC+ficaXNf0S+jU+nOpVaFVj67wq8/ssKDQZdzsk/rbRF35Rvwz8qdmEoT2nzvqjAqh9XaDCo1sUiSpv3Bfnff7xCg0GXc84dUtorn5d3x6JLsX5XSD17lDzLqtXab5ceDGrWQeFh9yk88FZZX4brkH/DP+R797Fy5eDdvlDeA28Vv5txFJz0/VrdPQ4AAAAAAKAiTp2yWrzEHbtxjtSsWZJdg/KroQ4dKVBg7c8UWPyvUixa9gWSFMqTk3ey/g0GhfKU/vLD8n/wZLkGg0oyheeUtvKH8q/5aZnnUq8HkvPse10ZT91S7sGgkpyCM0W9szd+UwOZJefdsVhpcz9TrsGgUtfuXav05z4lU9a11ipt0bdK1c6PFbTTk7vv1dwDtyjmTXcdo3YOAAAAVAzDQQAAAEADYaJhpS39d5kL9Wegw//e3+R7/8mk5wRy/rPUl/mD47+jwht+p9CYf1HBXc8p0svdHHTOH5H/rT+W+f6+DY/Lc3rXpdfWm6bgxP9XgT8B6hojK//qn8o5sS3VqdQK75ZX5Nsyt9ru51/7czlHPyzfyeF8pb/8GXn3rqm2968p/rcelXf/G9VyLxMLK7DsezLnDhe9NkazZxV/kWVi+xXq773sZ5LdVd4vrVRo/HcUnPqfKrj177KOz53jm7+VuXgi+ZsHL5b6kkZk0G2KtR9S+T8QAAAAAABADXtprlW4RInX55PuuC3xYFB18+1YWK6FquqtaEjpL3+mUjuzl+Tf8A/51/0i6TnU69HoJXl0Oce3KG3+I1VayEuS/G//Ub63/lCle1SE5+MVCiz6VoUHC0ty8k4q/YX7LtXN47/P8lL9hMP5nXX76pf1iy3/qh9t/JFeyqR2DgAAAFQFw0EAAABAHVMQSdfW3AEq6DRe4StmK9xnuqLth8h6AmVea4Ln5dv0fC1kWZr1N1G0w5UK95muSO+pirbsWa7r/G/+OmFR3zn4jjwnt7tiseadFL7y08UB4yg49lulrvVtfkmKBEvFL1124aj8lzVXQiM/L9u8U7nyRs2yHp+irfoq0n2swn1nKdx3hqIdh8v6M8u81sTCFd8Bp57yv/1omefEsrsr0nOSIt3HKVbG77ex0XLdU5ICOf8lz9GNSc+xjlfRtgMV6TlJ4SuuV6THeEVb9pJ1vOV6j2oRLpTv/X+UeVq0VV9Fek1RpOtoxZq0TXquCefLt+Hvl15PmyL5/9mv/FT30jtXecZ/XSYj+9LrWPvBilwx033PaFDezS8mfV//G7+Wk3ey+D4ZLRUc/fWk1wAAAAAAAKRSfr7VvNfcsenTpFatKjccZL1pirYbrEivyUW18zb9ZU3ZX33xffCUnJM7KvWedZ3vnb8krdNZx6tIpxFFNdY2/ZPf693H5ByOP2REvR6NXSyri2zT9gkORpS26FtJB4NsoKki3ccp3HeWou0GyyaZNPK/9Uc5ldh9qMIKziqw/PsyNvHuarFmHYpq593HyQaaJzzPyT+lwIrvJzzu+6B07fzt9M/pfDjr0uu/Lx+kcF9q5wAAAEBl1eK3cQAAAID6x3rTFGvdV9G2gySPX/4Nf6uBdzHaExykeR9P0/qT1+nj87117bWO/vd2R65SfChPvo1PF62QlWT1Ls+eVdKor9ZAnqVZb5oi/eYo0nemoh2vkjzu1bycE9sUWP59eY5vTngPE8qTd/sChYc/WOqY98D6UrFot9HSZc1em9VZsRY95ZzZXXzfSIE8RzYq2mVk3PcNrPpvV5Mm1qKHwsMfSJhnQ2AunpBzepeiXUdV7EKPT2rbT+FWVyjWtIMCb/xfjeQXbdlLkb4zFO1ynWLtBkrxBkgiIXm3zlNgzU+TNtm8e1Ypcau59pjcAzJ5pxTreFW139s5tVNO7oGEx22guQpn/ETRHhNKBK28215TYPl/yERDca/z7H9DCudLvoyE9/bsXJJ0x6JYRkuFR35B4QE3SvEGusKF8hx8W97dOfLuWJTwPtXBc3C9TCgv4fFYs44qnPG/7r+jWES+95+Uf+3PZGTjXufdtVyhf65c2qyZ0dixVutWFWpI9sZS55o+k0rFot3Hybf1Vfc9D7yl8LVfivt+zolt8n34rCsWGvstKS1xMxYAAAAAACDVFi2RLl50x+6s4K5B1vEq0nuqIv3mKNp5pORLcx03uQcUyPmxvPvWJbyHsVF5N72g0KTvVey9a6VHUHnm7F753/lzwuPRVn1UeMMfZJt3vBRzDr6j9Ne+KhM8V/p+skpb/h/Kv+eVUvV+6vXVq9L1+n+Kthuswlm/rPiFSeq+takma+eFs34hReLXv5Px7FuntJU/THg8dNV9pX7fP+H9aK6cs3sTXhvuO0PBKf/pqpc7Rz9U2qtfkpN/utT5JhZRYNn3VPDplyVTczutBdb+TE7BmbjHrIxC476t8FX3Fv+5w/kKrPiBfNvmx73Gu/8Nebe+pkj/Oe4D4UJ5jn5Q6vzuk8dJJW519Ji0U2M1UNTOAQAAgMpgOAgAAAAowWa0VHjQ7Yq2HaBYu0GKtep9aUDBc/AdqQYafwcmPqmbP9PBFZs+LU6h35+p8IjPyqY1V9qKHyS8n3P+aDVnWJr1pis8/EGFrrxbSs9OeF6sTT8V3P640p+7W56T2xKe5929Ku5wkDm7r/Q9s7vFf6/srq5moySZ3H1SnGajZ+9aeT9e4YoFJ/6H5PEnzLHeCl6U9+Pl8m57TZ6D7yjaY0KZzUbrz1S4/42KtRuoWLtBatr7GhlvQHm5uVLuoRoZDiqc8b+uBnVCXr8ig2+XbdZB6XMfTniaCV6QghelQJNqzLKc8s/It2OxvNvny3P0Q4WuvEehGmhwmnOHkx4Pjv8392CQJBmjSP8bZM4dUmD97+LfNxqWOX9UNtHuX9GQAqv+K+H7Rlv1VeHNf5Zt0iZxcr40RXuMU7THOAXH/5sUKUz6Z6kKp4yfU+G0/y7dgHa8Cg9/QM7pjxMOQTl5J6Rw4aUvo8yZbbT77cPye8Ku82ygqUyT1qWuj2V3LRUzufviJ2mtAit+4Fq9MdJphCL9b0jyJwMAAAAAAEitaNTq+RfdC69cd63UtWv5vuhuHa/Cg+9U+OqHZJu2S3xeVhcV3vhHpc37QtIBIe+eVWUPB3kDimV1UWjopxXrNLxWegRV4Xv/yYSLAFlvmgpv+H2pumus8wgFJ39faQu/Efc658xuefasVrT3FFecen01qES9PiFvoHw19bqklmrnNrN0PbY8vDsWJ75nWpYiA25KeDzpYlrNOys47X8kr/t3OtZ+iIKTf6D0174S9zrPyW3yHHxb0S7XlJF55Zi8k/ImGPKRpMjg2xUedr876MtQcNp/yzm5Q55TO+Ne53vvb6WGg8z5wzLR0rXzXoNbqmdPq90lHhfLNnTVwMtm2KidAwAAAOXDcBAAAABQQqzDlQp2uLJW33Ph+o5SiZ0pmjSRRl2b+PzIgJtlV/+PTKIv00cKqjfBy2/fe5oic+bINm1bvgt86QqN/abSX34o4Snm3MH48eD5UjHrjz/sYePsTmIKS698qEhQgZwfu0LhftcnXLGwXoqG5Nm7Tt7tC+TdvUomWrE9dGxWFwWn/0SSZIyR8QZqIkv3e1awiRntNlqx5l3knEu8c46JFMjW1nBQOF/ej3OKmroH1ifd3au6JNsNR5IiPcYnPBbtMV5KMBwkFX324u+XI3m3L5KTdyruMRtopsKb/ph8MOhyvvSi/6spSX5O1t9EsU5XJzwe6T4uaVPXBM/L/nM4aOgQqWf7ijyzSsfjPrMkeTe/KM+xTcXXOj4FJ/1HwrwAAAAAAADqgrXrpKOXrWX1qTvKNxgU6TxSwVGPyLboUb43czwKTvh3ef8+PeEp5sIxKRoutSOO65zMlor5mxYNAaRi4aGKiITk2554V+5I3xmyzTslPBZb9ws55+MvrOP76OXSw0HU6yunivX6ei8FtfPKcI5vkffQOwmPh4d8KnEduyBXzrHNia/tf0OpwaBPRHtOVCyzVcKau3fzizU2HOTdMi/p30fo6gQLtDlehYfdL8/S78Y97Dm1Q86xjxRrN/BSLNHzwxij2TOlX/+2uCOx9t1MfWOc+1xq5wAAAED5MBwEAAAApJC1VkuWub+CP2mCFAgkaZB6fEUF8wTDQTazVXWmWEp4ROLdWhKJdh4p601LmLMpOBP/Qk+coZREjYp48ThDLf63H5VTYhjJBpopNPbb8e9Zn1gr5/AG+bbNl3fnUplg/EZJQ2LTs6QEw0HW8cmmZdVsArGIPPvflHfbAnl3r5QJ59fs+13GZrZMfkKcBvyla/0ZCY9Jkk1rnvCY74MnEx4LDX9Atmn75HnVMpuR+OdkfRmSSfK8TfYzlJENNLv02nGMRo5Kky57nNnLVkO8JO4zK610rOCsAq//0hUKD38g8c5OAAAAAAAAdYC1Vs8+76599+1TtMBKeUSG3lXx98zuqlhWVzm5++MeN7IyBWcrtrBNHebZtzZpHTjZ4kFFxyfIv/GpBPd+XSrIldKzSgSp15dbI6zXu6S4dl4Zvg3/SHjMegIKX3l3wuPOmT0yNpbweKxN/8RvbBzFWveTkxd/1zPvxysVLGOosbK8OxIPF0Zb9Um6qFtZzxfv9gUKlRgOirsTWKyodj5tivTHR6XQJ6X0KLVzAAAAoLIYDgIAAABSaMtW6eBlm+ZMn5Z85URz8UTiYRpJ0Y7DqiO16uV4ZAOJB5riNhUVf9DJuXgy/lvEidsM9/Xm7D753vubKxYc/bUaH6iqSc6pnUUNtu0L5Fw4WvYFDUUkJOfs3oSHY+0H10izTJKcox/Ku22+vDsWy0nyWaxp0XaDZT1+mWgo7nHnzG7FWl8R/9jpPQnvawNNZbO6xj1m8k7Jc2Jr/OtkFOl/UxlZ175op8TPRJN/uvSXHEpwzuxOeG2sZS/J525IXjOxlfTS5e+RKxsNy1z2+xj/mVV6kCmw9meuVRFjzToqNPLzCfMCAAAAAACoCzZ/JG3d5o7deYeRSbZQSzWw6VlSguEgSbK1sEt6bfEc3ZT0eKzNgDKO90t4zNioPCe2KNp11KUY9fqypaReb60UuigTyi/ascmfmXxBpBpUV2rnFWUuHJV355KExyP9b0i6CJXJP530/jatWRnHsxLfOxqUc2qnYm2Tf54rLFwg59SuhIeTDjRJUnq2Yk3bJ/w9L7mbjyTZzNalzjEFuVI0rGbNfBo71mrFyqJ4qwC1cwAAAKCyGA4CAAAAUujyXYM6dZQGJqvvR8MKrPqvhCuQWRmFhyZevSxloiGZ/LMJD8eyu8W/rP1Q+Ta/6Io5x+I0PKNhOSe3lQ63H+p6Hcj5T9cgRbTtIEUG35E47zrKXDgq7/aF8m5bIM+pHeW+LpbZRtEu19ZgZrXHv+7nMsELCY9X9+fAnNkr3/YF8m5bICfBbkXxxJp3UbTjVdWayyX+TEX63yjf5hfiH17/BxVe/+vSjeBoSP53/5rwtuF+N0iOJ+4x58j7Ca+Ltewp27StTN4pebfOk+fA23JO7ypq8Dke2fSsop9H5xGK9Jkm26JHmX/E6mCzuyvSdZS8+98odczYqPxvP6rQ+H8rfWHwgnwfxF85VZIiA28uFcvu0lZnou3VwlPcEHUUkT26WaaT+/cg3rPs8meWc/h9ebfMc6c18d8lX3rCvAAAAAAAAOqC515w177btpUmjKv59zUXjic8ZtOzpSQ7Ztc3ToJFfCTJenyyzTokvT5RXf7S/Y9vdQ0HUa+PL1X1enN6t9KfuUPOyR0y0eCluDUe2WYdFW0/pKgWe8VMyZd8J/mqqJO18wryvf+kTIJdsKyMQsPuT3p9ogW8io8n2GHrE7EEu8//k3N8S7UPBzknt8vYaOKUyng+fHJOouEg5+QOycYk40iSbJM2pYaJTCwi58Q2xdoP1uyZRitWFv27MSib2jkAAABQWQwHAQAAACkSClmtzHHHpk+7bOVEGytavevcYTlHNsi38Vl5TideySs84mHF2g+poYwrz7NnTdImQ7TLNXHjkR7jZb1prh2HPAfWy+QelM3qfCnm3bFQJpTnvmfbgbLNO5Y4Z5G8+9+89Noaj4KTv3+pMVHnFZ6Xd9fSogbjoXdlZMu+RlIso5Uivaco0neGYh2H1Z8/b0nWSpECmQvH5Dm6Sb7NL8qTZEgl3HeWIn1nVPltTd7Jot+bbQvkOf5Rua+LNeugSJ/pivSdWf2r+V0mOOZf5Dn4tpw4q6F6P16u9GfuUHjYfYq16CHZmJzTu+R/568Jd8SJNWmr0LVfSvh+niMfJDxmm7aXf+3P5PvgSZnoZc3MqGTC+XLOH5H34Fvyv/lbRXtPUXD8d2Wbti3fH7YKgpN/IOfZO+XEWcHR//7jck7vUnjIp2SzuhQ9c09slf/tP8u5eCzu/aKtr1B46F1xj53rNE0tjv7DFctd+bha3Fei0R0Ny7dlbqlrI32mFb+IRRRY+UPXZz3Sc5KiPSYk+ZMCAAAAAACk3qFDVuted8duu8XI663Z3UycE1sT1nMkKZKgDl1fOUkGUWx6yzJ3j0m2E4r0zy/3l0C9voQ6UK93Cs5IcXbnMTYqc+6AnHMH5Ns+X3btzxQeerdC13xe8vgr/X6u96gHtfNyC+WVGnorKdpzgmyL7klvYRPsTP8Jc/5w0uPOuUPJj5/Zk/R4ZTindiY9XtbzoeicxLt8mXC+TO5+2ezin12kz3T5N/zddZ5v0/MKth+sq66U2reXTh4L64Yu80rdj9o5AAAAUD4MBwEAAAAp8uZ66cJlG59MmyJl/mpg0kGaeKw3TaFRjyhcxuplKRGLyv/OnxMetsZROM4OHJKkjBYKD7lL/g1/uxQysYjSXvuKgtN/oliLHvIceFOBVf9T6lLXgEMoT/7VP3UdDw/5VN1pPiUSCcmzZ7V82+fLs3dtmavPfcKmZV1qMEY7jUi4C0xdlvHYtAqtMigVNZDDw+5XaPTXK//GoTx5P15e1NQ88Fa5P4uxJm0V6TNNkT4zFOswtPLvX1FpzVRw+xNKW/gNeQ5vKHXYc3yzPIu+Wa5bxZp3UsFNf5KSNDKd3IMJj3n3rZP2rSvXexlZeXctk3PoPQVn/0rRziPKdV1l2eadin5O878Wd8DSu/9N15cRkom26afCm/6UsJHeYuYDyvvTi8r0Fn8BosnHLyi6rrfU50aZ4EX51/1cztl97vu2G6xoj/GXXvvef0KeEg1a68tQcMJ3y5UjAAAAAABAKj3/kpUtMSuRmSldP6vm39e//g9Jj0cG3VbzSdQiU3Au4bGyhhWKzslOfv/CXHeAen29rNeb4Hn53/6jPHtWq3DOb2Sbd6rcjepb7bycfJtflAldTHg8NOyBMu8Ra94l6XHP/jfi7kQvSSb/tJyT25Neb4Lny8yhokzB2aTHy/cMSX6OKciVLfGYCQ+7X77NL7iGB71bXlGsRXeFB9+pO6ZdVJtNP1e3Jvtc96F2DgAAAJQfw0EAAABAiixZ5l5JbugQqX37iq2cGMtspfDQuxUZeKtsZuIVulLJv/53SVeOiwy6zbVy2OVCox+R58j78hzdeCnmObVDGU8lGChSUbOmZKPA/8av5eSduPQ6ltlaoVGPlO8PUNtsTJ6D78q7fb68u5bJBC+UfY0kG2imSK9JivSZoWjXayWn8fznnvU3UXjIpxQefHvlGpvRsDz7Xi/6me9e5Vr5MpmiVR6nlljlsWZXPk3ENmmjgtuflHfnYvk+eFrOkQ/KvVKlJFl/psKD71Ro5OelQJOk51Z3E9IpOKO0eV9QwR1PKdamX7Xe+3K2RQ8VfPplebe8It+Hz8lzcluFro+lt1B42P0KD7sv6QqbnuZttKLpTzQ7/2vymJikomGo2LIfK3PZj+Pnlp6twlm/uPTaXDgm//rfu84JXfNF2WYdKpQzAAAAAABAbTt3zmrRYndszmwpM7Nma2fezS/Ju3tlwuORrqMV7XJtjeZQq8IFMrFw4uPl2SHG40t6OF5tmnp9/a3Xe05uU/rLD6ngzmfKtSuMpHpfOy9TLCLf+08kPBxtN1ixTsPLvI3N6qxY8y4JFzzz7lyq8JWfVqzDlaWO+df+XCYWSXr/8v7eVUSZ96yWZ4h76Mo2aaPC6f+jtPmPyNji2nlg3S8UWPcL3S9Jl7V4Cj3ZilI7BwAAAMot9f/1CQAAADRCZ3Ot1r/ljk2fVvHmiJN3Sr6tr0n+JgoPuk3yBqopw+rh++Ap+d9+NOHxWIseCo79VvKbePwquPUxBZb9h3w7FiY91Xr8Cl37ZYVHPHwp5pzcLt/GZ1znhcb9a6khCM+eVfLuXCrPkY0y+aelaFA2LUuxlj0V7Tq66Oeb1ix5rlVgLhyT7/0n5d2xUM7F4+W6xvozFekxsWjFwW6jytesaYBM6KK82xfI+tIUvvIeKdC0fNed3i3/xqfk3bGk9CqYCdj0bEV6/XOVx84jJONUIfNqZKNSNCTreIsarbZ8w0HWm67QyC8U7d5VxmCQJKmwBlYoDOcrbf5XlX//wpr/HY5FZaLhCjfjbVqWQqMeUaTf7HLleMWcyfry1/6oH1/1XbUMnE56brRNPxXO/rVrsC2w+icy4fzic1r2LhpKKsHknZR384vy7l8vc3afTOE5yZcmm9la0Q5XKdLv+hrfkQkAAAAAAOBy816TgsHi1x6PdOstNTsY4Nm1XIGVP0x4PJbRSsFp/1WjOdS2ZDudSCrzS/tF5ySvc8V9D+r1CdWHer2Te0CBJd9R4c1/Tnpeg6qdJ+HduVTOhaMJj4eGP1jue4X7z1Fg/e/iHjM2qvS5Dys0/CFFu4+V9WfKyT0o34fPyrtnVdk3L7HTTnUxZd2zXMNBZT1DSg8gRXtNVuFNf1Jgyb/JyU9eO9+W209/Of8r/YjaOQAAAFBuDAcBAAAAKbBipRSNFr8OBKQJ4yp3L+fsXgVW/Ze8m55T4ez/k23Zq3qSrCLfO39W4PVfJTweS2+hghsflfyZ5bhZhoKzfq7wsPvl3TJXnkPvFTXkwgWygaayWV0U7XKtwoPvkG3atvg6axVY8UMZW/zDjnS9TpErZl16bc4dVtrCb8hzbFOptzV5J+XknZT3wFvyv/2oghO/p0j/OeX7AVSQ58B6+Tf8rczzrDddkR7jihps3cfVuYGwVHEuHFXgzd/Kt+kFFc76RdFqhGXw7Vgs34fPlXle0SqPk4t+5l2uqROrPJbkHN+itMXflnNmT4WvNZECBdb9XP63/qDwsAcUGvm5pF8cMOGCct033G+OIgNuVKxpO5nC8/LuWS3fhn8kXFnSOXdIvg+fU/iqeyv8Zygvz/43FFj67+Vu5pdkCnOVtuL7sq//qugLDUPvSrraZceORqHOozVrxVLd0HmuxrRdpwGtdijLnys5XtmMloq2H6JI7ymK9priupdn7zp5dy279NrKKDj5+67fO9+Gf8j/xq9L/zyDYZngBTln9sj30UuKdB2lwpk/k9KzK/xnBgAAAAAAqKhw2GruK+5FayZNkNq2qbnhIO/WeQos+17CnTesN02FN/xetkmbGsshJcq5OFAZN6nce1Cvv6Q26/XW8SnWfogi3UYp1qa/Yi17yqZlSR6/TMFZOSe2ybttvrw7FiXdWd67b508+99UtOt1Cc9pKLXzsvg2/D3hsVjzzor2nlLue4WH3S/fh88mHHgxoTwF3vyN9OZvKpynfBkVv6YsZT5DyvOMqdwzJNpttPIfWi7fR3Pl2btGzskdRUNojlf5Tkut2T1YK45OUc7RyZKMHtxv1a2rqZnaeUaLcvw5AQAAgPqjfv1XGQAAANBALF7qLoiPHSNlZlatQeo5vVvpL9yngjufkc3uWqV7VYmNyb/qv+Xf+HTiU9KyVHjr32SzOlfo1rF2AxVqN7Dc53s3vyjP0Y3F7+vxKzjxe5dem3OHlf7M7XIKzpR5LxO6qLQl/6pg8LzCV366QnlXlfUEFO0+RpG+MxTpMUHypdfq+9cnzsXjSn/5YRXc+phiHa6s9H2sv4kiPScUNTW71s1VHiXJObxB6XM/61oprzJMOF/+t34vz6F3VHDjHxMO7dlyDPOFrvmiQtd9pfgaSaH2QxTtPEJpLz2UsDHt3fJKjQ0HeXYuUdrCb7q+eFAZpjBXgVU/lnNkg4Iz/jdps3v2LKMN76fr+X136/l9d0uSnn/GUccOSd4gElQg58fu0ICbXMNu/rU/k/+9sr+YIEne/W8o49k7lX/XC1Ja83JdAwAAAAAAUFk5q6TTl5Va77yj5gaDfO/+Vf51v0xYb7KegApv+L1i7QfXWA6pYsvaPT0aLvsm0VCV3oN6fe3U62PZ3RSc8P8UvmKWlJ4VP6cmbRRt0kbRHuMUGXSb0l79YtKasfejl5MOByVTX2rnZfEcfEee41sSHg9fdV/Fdj/yZyo465dKe/kzMrFyfP4qwNbALln2st26SinPMySS/JykzxBfusJX3q3wlXe7bxmx+vltVmfOFscWLLT68mdDNVI7L7j7RUlZ5boGAAAAqA8YDgIAAABq2Z49Vjt3umPTpxY3SPMfWlq82FYsIhPOlzl/RJ7jm+XdsURO7v6E93YKziht6XdUcOczNZB5OURCCiz5V/l2Lkl4SiyjpQpv+atirfvWbC4FZ0vtXBS++mHZ7G6XXqct/EapRmOk91QFx35bNiNb3m0LFMj5sauR41/zU0U7XqVYm/41mn5JsXaDFOk1SZFuYxrNYFDB7U9In6z2aWMy4QKZC0flnNwm785l8pzclvBaEylQ2uJvK//+hZVuTEY7j1Ck52RFO19bd5ubwQtKW/CNhE1e6wkofPVnFO47XbZ5Z8laObn75d36mnwfPBF3NVXPoXcVWP4fCs76Rfz3LKNhaNOzi3YfiiPa5VpFe4yXd8+quMc9J7fL5J2UzWyd9D0qypw7rLSl/55wMMgGmit0zecV6TFBtll7KRaRc+pj+TY9L9+WuXGv8e1YLNusk0JjvpHwfceOlpo2lS5cKI4tXGT12c8k/kKM/50/yzl3oDi3tCwFx37z0mvPnjWlmps20FSFU/5T0e7jZC4cVdqK78tz6N1Lx53cA0pb/h8qvP7XCd8XAAAAAACgqqy1evFl95DO0CFSn941MBxkrfxr/kf+959IfIovQ4VzflPpAYg6z5cu63gT7pikSLDse0SqNhxUIdTrKy3Sb3aFzo92Gang5B8qbfG3Ep7j3f+GgjZWseGXT+5fH2rn5ZBs1yCb1lzhgTdX+J7RziNUOPuXSlvybzKhvKqkVyqf6lbm57s8z5AqDhjG4/UaTZ9u9cyzxbElS6VHBv2pRmrngWXfk+5N/G8JAAAAUN9U/L/yAAAAAFTJkuXuBmnLltLw4oWtZJt1lG3+z//L7qpYm36K9pqk0KivKf+BRQqO/ZasEjdUPUc+kHPovZpKP7HgRaW98tnkg0HNOqjgjqcUa31FjacTWPtzmcLc4vfO6qLQiIcvvfbsWSXPsU3u/LK7qXDmz2Sbd5R8GYoMvl3hEZ91nWNiEfnf+mON5n45z+H3lLbkO8p8dLTSXv2SvNvmS9XYWKqLbNO2xZ+DrM6Kte6jaI9xCo/8vArumavC6T+VTdJ4dM4dknfH4kq/v3d3jtIXPKLMR0cpsPCb8ny8onzNsFrk2/ySnLwTcY9Z41HBLX9V6Lovy7bsJXkDki9NsdZ9FRr3LRXO/Fni++5YJOfIxvj3DSRfoTDSeWTShnC026ik15vcg0mPV4Zvw98TD1D5M5X/qWcUHnZ/0Y5rHr/ky1Cs/WAFp/2XgmO+Gfe6S/e9cDTh8UDAaNpUd2zhYqtIJP5Ktubsfvne/asrFhzzL1J69qXX/vW/LXVdcPx3Fe0zTfKlybboroI5v5UNuJvF3l3L5JzcnjBXAAAAAACAqtqyVdq+wx277ZYaGAyKhhRY9M3kg0FpzVVwy2NFu5o0YDYtK+ExU3A24bHynpPs/hVFvb52RfrNVqxJ24THTeE5mYsnK3Xv+lA7L4s5s1eePWsSHg8PubPSg1/RXpOVf9eLipTz+WP9TRQc+21F2/RLfE6zTpXKJen7lvH5Lt8zJPkuXzbBTldlmT3T/W9H08h++d97zBWrztq5PZp4BykAAACgvmE4CAAAAKhF0ajVsuXu2LQpksdTziapcRQe/qAiQ+5Iepp337pKZlg55uIJpb9wj7wH3054TrT1FSq481nXSoA1xTnygbxbXnHFghO/VzQg8U/enUtLXRceeEupwYbwkDtKDWN59q6VwoXVmLEUa9FT0TKGpkw0JO/uHKUt/rYy/zhKaa99Rd7tC6UEgw8NWaT/HIWu+0rSczx7k38Oou0GKpbVJek5Jpwv346FSn/tK0XNzsXflmf3qjJXxKsN3t0rEx6L9J6iWKfhCY9H+0xXtN3gxPfeNj9uPNaie9KcbLOOSY/HymhiltVMrAzv7pyEx8KD75Bt0SPx8WH3K5bZJu4xE4uUOYB2/Sz3s+P0aemtd+KfG8j5T5kSv1fRDlcqMvCW4vc7d0ie4+4mpfU3Kb1yaFpzRfpOL3V/767lpWIAAAAAAADV5fJdg9q1lUZV96Y9oTylvfJ5+XYsSnhKrGl75d/xlGIdhlbzm9c9sdZ9Eh4zBWckG3+Rmkvn5J8q4/59K5XX5ajXp0as7cCkx5PVYut77bws/g1/l1H8z4f1+BUe+ukq3d+26K7CW/6q/E+/rNDIzyvacZhiTdrKegKy3jTFmrZXpOckFU76vvI+u1rhYffJyT2Q8H7RGnielfX5Nvmny7xHsnOsN122efLfoUS6dDYaUqJ98Z1BP5bH1lztPLZ1YaXyBAAAAOoib6oTAAAAABqTDe9Lpy7rt02fWvHVE8P95sj34XMJjztn9lT4npVlzu5V+ssPyzl/OOE5kS7XqvD630iBJjWfUCyiwIofuho74T7TFe022nWaJ87OKPGGJWxma9mm7Vw7hJhoSM7JbYp1uLL60m4/WAX3vCLn1C55ty+Qd/sCOeePJDzfRIPyfrxC3o9XyHrTFe0+VuG+0xXtPq7SK9rVN5F+cxRY94uEx52zyT8H0R7jld9jvJyjm+TdNl/enYvlJGlmmVCefNvmy7dtvmygqSI9JynSZ7qiXa+TPL5K/zkqyzn1ccJjsQ5XlXl9tMPQUqtxfsJzIv5KedEyGspl/hzKOu5NS368ooIX5STZ3SfacVjCY5Ikx6NYu0FyEgxiOceTryjYs4dR//5WW7cWx+YvsBp9nfu5792xWN79b1x6bR2vgpO+L5ni8+I+s9r0l5zSpZ1ou8HybXrenevR0tcDAAAAAABUh5MnrVZftgnHzTcZeb3Vt3OQyTultFc+K8+JbQnPibbup8KbHpVtEn+xl4Ym1maAtP/NuMdMLCJz7qBskgEP58ze5Pdv279K+RXdhHp9qur11pt4h3dJSYd46nvtPKn8M/JufS3h4Ui/ObKZrarlrWJt+ivUpuzPkXN4g0yC3aesL0OxMgbVKiPW+gpZ45Gx0fg5nU3+fJCS9yJjba6QHE+l85s9y+jDTVZTOyzRdW2Kn3M1UTu3BzdUOk8AAACgrmE4CAAAAKhFi5e6VyLr00fq0aPiDVIbaJb8hHBBhe9ZGc7RTUqf93mZgrOJU+l/g4JT/rPWGkC+D56S59SOS6+tP1Oh8d8pdV68VRFtZuu497SZraXLBgxMXvJVFSsr1qq3QqO/rtCor8k5vEG+7Qvk3blEpvBcwmtMpEDeXUvl3bVU1pehSI9xRY237uNcqy82NGV9Dkw5Pwex9oMVaj9YofH/Js/+N+XdPl/ej1fKJFnh0QQvyLd1nnxb58kGmivSa5IifWco2uWauA2nGhGO3yyUJFuev3dP4nNMQW7ceKzdoOT3TPJ7Kinp77Ek2YwWye9fQYkaqpck+Rl8ItnP0hTmlnn99bOMtm4tfvavf0s6fsKqbZt/PvtDefKv+anrmvCV95RauTH+Myt+kzres8zklb3SIwAAAAAAQGXMe80qWuL75YGANHtm9d3fnN2v9LkPyzl3MOE5ka7XFS1Q5c+svjeu46LtE+8MLknOiW2KJhkO8pzYmvCYNR5F2wyodG6foF6funq9k5v48yJJNqPsAZh6WztPwr/xGZloMO4xK6PQ8AdqOSPJ99HchMeiXUdVacgm8ZumK9aqtzwnt8c97CQZxJSKPnNO3smEx6Nl9RLKMGGc9Off5+lfBvyvK14TtXN7MfGfAwAAAKhvUv9fXQAAAEAjkZdntXadO1aZXYMkJSzWf6KsL9inv3CvPIfejXss3P9GBaf/pOwc9q5T2oKvJW0ChUZ8TqHRXyvzXtXFXDgu//rfuXO47qvxV4qMtypeosZUnMEmk2RVvWphjGKdhivYabiCE/5dnn3rilbo27NaJlKY+LJwvnw7Fsu3Y7GsP1ORHhOKGo/dxkhlrRRYzzgnkzenbEbLCt7Qo2j3MYp2H6NguEDe3TnybntNnv1vysQiCS8zwXPybZkr35a5smlZivSeUvQz7zyyZpp2/2TTmsskWK3RObu/zOud3AOJ751gly/brIOibQfJc3xz3OOeMnbScZJ94cDjUyyra/z7HnxH6S/el/DavIdWyDbvWPqeac2T55O7T1GNKuOcxD8n+cveDW3SRKPf/aHo3wBJisWkBQutHnqg6Pnvf/O3ci4ev3R+rEk7ha79UukbVeiZVTqeqOENAAAAAABQFcGg1avz3bHpU6Vmzapn1yDn+BalvfK5pLuWhPvfqOCUH9W9HUrKqbL1+mi3MbKB5jLB+IMq3t05ivaZFv9NrZVnz+qEOUW7jZbSs5KlXSbq9VWv1zvHNivWpn+F68zmzN6ku55bj69iu+PUs9p5QpGgvB8+m/BwtMc42RY9ajGhomecd+urCY+Hrron6fWVrZ1LUqTvzIT9Rs/pj2VyD8pmdY5/fPfKpHlFrrg+6fGypKUZ/Wj879RWxbXzk8F28o/4okr95lSxdq4ItXMAAAA0HE6qEwAAAAAai9VrpWCJ+nK3pvt1S/ZvZC6eqNiNCs/Lv/73SU+xzeMX66uLd+s8pb36xYSDQdZ4VDj5h7U6GCRJgdU/ce0UEm3dT+Ghd8c9N97QgAldjH/jYOm4TcuqVI6V4vEp2nOigrN/pbzPv67Caf+tSJdrZU3y/6QzoTz5ti9Q+mtfVuajoxRY/K9yDr1XS0mXUyhP/lX/LVOOYRaXSEiBdb9MekqseafK5+VLV+SKWSq86U/K+9xaBSf+P0XbDy3zMlOYK9/mF5X+8kPK+PM4BVb8QE4Zw3yVFbeJ/k/e7fOlJLvmmAvH5Nm7JvG9MxPfOzzo1oTHnGOb5ZzcmeDCAnm3LUh4bbTjsOpf2dWXJhtIPCDk3fyylKR57Rz7KGkTPZbk5/SJzAyj2TPdjf75C6VIxMo5uUO+jU+7jgUnfCfuzyH+MyvB33Gqn1kAAAAAAKDRWJkj5ea6Y7fcXD2DQZ79byj9hXuTDgaFRn6+aHimng4GVYk3oPAVibdo8u5cKnPuUPxj2+a7Fqy5XHjgLVVOj3q9W2Xq9f63/6SMx2cX1VWT1DFdwgVKW/odGdmEp0Q7jaz8Lkb1oHaeiHfrPDkFZxIeDw2r4q5BBbnxB1USMGf3Ku3VL8vYaNzj0Tb9FOt0ddVySiLS/wZZk3hIy//eY/EPRMPyv/9kwuuirfoq1m5glXJzTu7QSPOMK/aTTf+mDR9Vf+3cZGRXLkkAAACgDmLnIAAAAKCkWETmQvyGmMlLvq28uXgs4THbtK0WL3E3hkYOzVfzDx+V3fyYol2vU6T3FEW7jpJt2i7+TSIhefbkKLDuV3LOJdnJQlKk99Skx6vC997f5V/7s4SNJWs8Ck34jqJdR8mcO1zu+9rMVpVvRkny7HtD3l1Li+8no+Dk7ydcfS6W3UNO3ilXzDm7V7E2/S47MSrn3MHS17foXulcq8SfqciAmxQZcJPMxRPy7lgk7/YFZe7YYkIX5dv2mkwoT4Wdhpf5Np/83RkjWXu+6H+fPy8l+T2Xij4nif7e4/4dx6Lyf/CkfB88pWjnEYr2mqJI9zGyWV3iv0EsKs+B9fK//it5kuxCI1Xj5yA9W+Ghdys89G6Z3IPybl8g3/YFcs7sSXqZk39azqbnZT1+hSZ8t3pyKSHa5Tp5TsTfPcnJO6n0Vz6nwun/I3vZkJRzapcCC/8l6YqW0c4jEh6LXDFLsfW/LfX5kSQjq7QFX1PBjb+XzS7xGSk8r7Sl35WT5PcnMuDmhMeqItL1Wvl2Lol7zHNym9IWfF3ByT8otdOUc/h9pS36ZvImepKfU0m335am518sng49dUpav95q6uEfulbWjHQfq2iC39tYdulnjnN2b9xznbP7Sl9fyyteAgAAAACAhs9aqxdfdtdOhl0l9ehe9eEg7/aFCiz5jkwsnPCc0MjPKTzw1orVodOzki5QY21MCuXLnD9S6ryq9ggS7mRRBeEr75Hvo5dkoqV/TiYaVNqrX1LhDX9w7RziObBegVU/TnjPWIseivYYX6W8qNdXX73eObtPaYu/pdianyrS/wZFek9VrG3/0r9P1spz4E35V/9UntO7kt4zcsWscv3xylRHa+dxWSv/hscTHo62HaRYOeu9iXj3vyH/qv9WpN/1ivSapFiHK+N/7gvPybfpBfnf+VPCIRZrPApO/F6V8imLbdJGkX7Xy7d1Xtzj3k0vKJbdTeGr7pU+GX4L5Smw/HtyzuxOeN/w8AermJhVYOUP5dji2vm642OVc3SKtMhqxNXuf2OqWjtX615VShcAAACoSxgOAgAAAEowF44r87HJlbo24/lPJzy29/rl2vhhB1fsumuNtF0ysbC8e9fI+89dPGLpLWRb9JBNay7rz5CJBGUuHJNz+uOEO/WUFO10tWKt+1bqz1Aevo1PJf2yvLFRBXJ+rIASNxfjKbjt8XJ/0b6USEiBnB+5Q4NvV6z9kISXRLteJ++hd1wxz541ivR1r7ToOfReqZ97LLubbDP332cq2CZtFB52v8LD7pc5s1e+ba/Ju31h3OZoRZX8HHzSfskox3Vpi76Z8Fiyv2MjK+/Bt+U9+LYCqyQbaKZYy16y6Vmy/kwpGpaTd1LOqV0ywfNl5hHL6qpot9HlyLhibFZnha/5gsLXfEHO8S3ybpsv745Fcsr4YkBNiPSbI9+Gv8vYWNzjnsMblPG36Yq1HfDPXZSsnLP75ZzYlvQzbD2+5INV/kwFJ35P6fMfiXvYObtXGY/PUaz9EMWatpcpPCfPkfcTr9SnohUQI1fMTvyeVRDpf0PC4SBJ8n68Qp69axRrN1ixpu2lWETO6V3ynE7c3JSKViMs7+/YFX29GjzIq02bi5uZJ1e8LE/zD4rv501TcML/S3iPWPuhsr4M1/PIObNHJvdAqWE67961pa6Pdr2uXLkCAAAAAACU16bN0q6P3bHbbq2eXYN8m55POhgkFe2q4n/7TxW6b+G0/1ZkwE2JTwgXyLtnlbx7VlXovlLyHkHeQytcAzrVxbbortCIzymw/ndxj3tO7VTG36cr2nGYbEYLObkHkg6uWBkVTvlR1XZiol5f7fV6SXLyT8n/3mPyv/eYrC9DsVZ9ZDNayvrSZQrPyTmxTU5+6QWdLhdt01+R/nOqJaeS6lLtPB7PntUJB0YkKTy8irsG/ZNTcEb+9x+X//3HZT0BxVr1km3S7lJt15w/IufUjoR1/U+ErvlC0XBRDQuO+7Y8e9fG3VHJyCqw5qfyffCUYm0HSNGQPIc/kAmeS3i/SNdRVf798n70sjxHimvnBZE0/c/moiGyteuk3FyrrKzif2uqWjt3eo6rUr4AAABAXcJwEAAAAFAL1r7uft2kiTR0iKTtpc91Cs5Ih0sX4cvD+puocNpPKnVtfeZ79y9ycot3U4qlt1Bw9NeTXhMedJv8b/9JJlJwKebdsVjhIXcWN1wiQfnf+FWpa0NX3lM9iVcj26K7QqMeUWjUI3KOfCDvtgXy7lwSt6FTH5jgeXmOvF+pa63jVeGMn0oefzVn5RZrO0ChtgMUGvdteQ68Je/2BfLuWi4Tulij73vp/Vv3UXjwHfJ/+GzCc4yNynNskzzHNpX7vuHhD5XZTI/2nqpw/xvk2/pq/PeNReQ5vEHx1wF1s4HmKpzxs6JtqmpAtMd4RbqPjdv0+4SJhsud7yeCY74p+dLLff7ttwUuDQc19+Xq+jT3syU08nOyWZ0T38DrV3jwnfJv+JsrHFjzUxVe/5tLq656Pl4hz+H3XOfEmrRVpPeUcucKAAAAAABQHpfvGtShg3TtyBQl04iFRzws77518hz9MO5xE4vIe/Dt8t3r6ocU6zisSvlQr6/5er0J58tzdGPF8wo0V3DaT4p3gakhqa6dx+N/728Jj8WadUy+YFYlmWiwaBivjJ2kLhfpOVHhkZ+v9nziSs9WcMoPlTb/azI2GvcU5/xhOefL3qEtltFKwck/rFo+BWcVeP2XrtA/9nxWh/OLaueRiLR0uXTHbSVOqGLt3Nu/mnbSAgAAAOqAmv2vPQAAAACSpDVr3U3SyRMln696vwgfy2yjgtv+USOrD9ZlJveA/O/8xRULjfuWlNY8+YUZLRQa8w33vWJhpb/0oAJL/13+tT9TxpM3lWqoRtsPUWTQrdWSe02JdbhSoUnfU/7n1qjgxkcVvmK2rK88+/7UfzbQVIU3Ppp0FcpqZxxFu16n4LT/Vt7n1qlw1i8V6TlRtiqra5ZTaNy/KtJtTLXdL9J7mkLXfLFc5wan/pfC/aq2AqANNFfBjb+XbdmzSvcpS+H0nyradkC13S905T2KDLylQtdMnxpQkyZF//uR/r9UduDspWOx7O4KD3+w7Pcd+TnFml+20uHuHKU/c5v8636hwKJvKW2B+4sWVkbBSf9R48NyAAAAAACgcTl23GrdOnfslpuMPJ6aWQAGSXj8Krj5r4pWcZeR0FX3KjTmX6p0D+r1pdWVer1Nz1bBrY8p1rpP7b1pCmvnJTnHt5QaCikpfNV9lwZIUi084CYVzv5VreYT7TVZwZn/K+tUfo3xWGZrFdz+eJV7lIF1v5ApcNfOD3Ry7+q0YKGVte6+a2Vr56FJ35fxUjsHAABAw8HOQQAAAEAtOHbM/Xr6tOprkFrHq8iAmxW67suyma2r7b71RSDnxzLR4KXX0Y7DFel/Y7muDV/5aZmLJ+R/t7hZaSKF8m2ZG/f8aJv+RauM1Zcv2TteRXuMU7THOAXD+fLuWiGTfyrVWdUIK6NIn2kKjf66bFaXsi+oKb40RfrOUKTvDKkgV95dS6UqNNTK5A2o8Ibfyf/WH+R77+8y0VClbmO96Qpd/VDRaoTlbTo6HgWn/0Sxlj2LVvUM51foPaMdh6lwxv+WuUtRtUjPUsGt/1Bg3c/l3fyijI1V6jY2rbmC131VkaF3VTyFdKPpU412rvpAN3ZxP2PKPbyT1kwFN/1R6a98Ts65Q5fCnhPb5DmxrXS+xqPghO8q2nNihfMFAAAAAABI5pV5VtESJZb0NGnWjNTl0+gFmqjg5r/I//qv5PvwuYQ7gMRjA80VHP2IIkM+VfU0qNcnVol6fbT9EHkOvSMTvFCltw73naHQhH+XzWhZpftUSW3Xzku+dZJdg2ygucKDKrYQVE2IZbZSaOy3Fel3fUreP9J3pmx6CwVW/kjO2b0Vu7bbGAUn/Yds805VysE58oG8H5Wunc84HdDiFcXDQHv3SVu2SgNLrgdW2dp5L2rnAAAAaFgYDgIAAABqWadO0oD+Usz2Uf7tT8q7/w15Dr0r5+R2mVBeue5hHa9ibQcq0nNiUcG+ke0W9AnPzqXy7itentI6PhVO/n6F7hEa8w1FOw6Tf/1v5Tm+Je45NtBcoavuUXj4Q5IvrUo5p4wvQ5H+VdvlpUakNVP+XS/Ks/91eQ6+I8+JrTKF58p1qTWOYq36KtpzgsJ9Z8i27FXDyVZQepYig++o+ffx+BUa9TWFB90m30evyLtziZwzu8t1abRlb0X6TldkwM2yTdtV/L2No/CIzyrS/0b53v2rvLtXyjl/JOHp1pumaOeRCl91j6JdR1X8/aoi0ETByT9QeOjd8m6ZJ++upXLOHy7zMiujWLtBivSdoXD/G6X0rEqncMP1MflP/0iOKW5kHsqerawu15T7HrZFD+Xf9aL8b/9Rvk0vykQK4p4X6TxSoVGPKFbFFWMBAAAAAAAuFwxaLVjojs2YLjVpwq5BKeXPVGji/1Nk8O3ybfiHPHvWyCk4k/D0WFZXRXpPUWj4g1J6dpXfnnp9BZSzXh8e8bDCw+6TZ/8b8ux7U57DG+Sc2lGuxY9iTdsr0muyIoNuU6xV7+rIuvrUVu1ckjl/RN5dyxIeDw+5Q6qmnZyina5WcNQj8u57Xc6xj1yDcvFY4yjWfojC/eYoMuAmyRuoljwqK9rlGuXf+6p8m16Qd/t8Occ2J/xds56Aol2uUXjIHYr2mFD1N49FFVj5IxkV187DV1yvaJdrNLSTVccO0uESrYcFC60GDnD/m1OZ2jn/agEAAKChMfbyfTZxydmzxduUGmOUlZUlScrNzS21PSmA5PgMAVXDZwiopOBFpa38gXy+olXjwuGQCif9QAo0qb0UglY33GJ18WJx7DMPGt1/b5xys7Uy5w7JOX9Y5sIxmeA5KVwo2ZjkS5f1ZcimZyvWortsVlfJ46u1P0dd5d38opwLxy+9jrXsoUjfmZW+nzl3SJ4jH8jknZJiYdm05oq17KVYu8GN9uedin+DzIWjMrkH5Vw4JlOYK0UKpVi0+HOQ1kw2u5ti2d1T3iyrswrPyzm1U865QzKhi1IoTzJG8mXI+psoltWlqCEcaFrtb+2c2iVzdq9M/pmivz9fetFnKaurYm0H1KmVPE3+aTmndsqcP1I0nBnOl4xH8mfI+psqlt1NsVa9qtQcLvkZOrf3Qy39xas6fqL4+I6md+g/f96mcjePBIueWWf3yhSel7wB2SZtFO04XLZJJe8J1DH8txBQNXyGUBHZ2VX/Qmh1KNmbAVKF5ycaM37/UR6Ll1j91/+4fzeeftyoa9d6+jXrOtBLqBE2VjSgcOGInLzTUuiibHqWbEZLxVr0lG3RvVrfjnp9LQkXyMk9IJN7QCb/dNGO7pFgUR020FQ2o5VibfvLZrYu9y159teAWETO6d0y5w7JXDxe9PcUDUmOr+hz2LyLom0H1OnnjMk/XfQMyT8tU3BGcryy6S2KatDth0i+9Op7r7P75ds23xULD7lTNrOVJOnJp63+9Jfi38v0NOnVuUYZGQn+3Sln7ZzffTRm/P6jseJ3H40Zv/91U3X3Ztg5CAAAAKhBb66XazBIkqZPTXCyMbJZnRXN6lzjeTUUkUG3Vev9bPNOijTvVK33RMXZpu1lm7ZX2WsfIqG0Zop1Gq5Yp+G1/taxVr2lurYSZQI2o6WiXa6tvffL7io79st69L/cRbaDh6w6d6rEl2e8RaszqgI7DwEAAAAAAFTV3Hnu2sawq1R/B4MaMuMo1n6w1H6worXwdtTra4kvXbHWfaXWfVOdCZJxvPX+78lmtFS0x7jaea/srgpd9+WEx2dMk/7ymBT7Z+OooFDKWSXNnpXgAmrnAAAAaKScVCcAAAAANGSLl7qbpFcOldq1o0kKAI3VuLFS82bu2GvzWZEHAAAAAADUD9u2W23b7o7dfBM1bwBAzWnVyujay+Z85i+krg4AAABcjuEgAAAAoIacPWv19tvu2PRpNEkBoDELBIxmTHfHFi2WQiEamQAAAAAAoO6b+4q7htGmjTSq9jZmBgA0UrNnunusW7ZKe/ZSVwcAAABKYjgIAAAAqCHLV0jRWPHrQECaMC51+QAA6oY517ubmOfOS6vXpCgZAAAAAACAcsrNtVqZ447dcL2R18uiWACAmnXtNVLLFu7YwkUMBwEAAAAlMRwEAAAA1JAly9wF6XFjpIwMmqQA0Nh16Ww07Cp3bO48mpgAAAAAAKBuW7hYCoWLX/t80pzZqcsHANB4eL1GM6a7Y0uWSqEQtXUAAADgEwwHAQAAADVg9x6rnbvcsRnTGQwCABS5cY7734SPtkg7d9HEBAAAAAAAdVM0ajXvVXftYsI4KTubujcAoHbMmun+N+fceen1N1OUDP4/e/8dZVd55Yvav1UqBRRAQiJnMBmTMyYKSSWJnIMxuMGpHfrYbfv27T7fGX3Dud3t7j5u55zIOSOVJEDkaHKyCSYLEFk51vr+4FilVwhQKGlXeJ4xzhh6f9olT/og9tpz7rkWAACdkOUgAABYBVonlEPSYcOS3XdrUDEAdDoHfuaD94bFXXmV5SAAAACgc7rn3uS118vsuGMtBgGw+myycZVddymz62/QVwcAgL+yHAQAAB1swYI6EyeV2cgRSa9eBqUAfKC5ufrQ04Mm3phMm2aQCQAAAHQ+V15d9iy22TrZcYcGFQNAj3Xk2LKvfv8fk9df11cHAIDEchAAAHS4Pz6QvP1OmbWMtBgEQOnIsUlzc/t53rzkhvGNqwcAAABgaV55pc6995XZccdUqSp9bwBWr0MOTgYOaD/XdXLDeMtBAACQWA4CAIAO1zqxbEBvu02y5RaGpACUhg6tcvBBZXbVNXXa2gwyAQAAgM7jqmvLXsWgQcnhwxtUDAA9Wt++VUaMKLMbxiULF+qrAwCA5SAAAOhAM2fWue32MhvdYjEIgKU7/tjyPWLKlHzoTrwAAAAAjTJnTp0bxpXZmNFJv3763gA0xpFjy/egqW/qqwMAQGI5CAAAOtTkW5J589rPvXolww9rWDkAdHKf3in51FZldsVV7nAIAAAAdA433pzMmFFmxx5lMQiAxtlm6yrbblNm112vrw4AAJaDAACgA7VOLBvP++2bDBlsUArA0lVVleOWeHrQvfclr75qkAkAAAA03rXXlT2KffZONt5YzxuAxjryiPK96K67k7fe1lcHAKBnsxwEAAAdZMprdR5+pMxGjzIkBeDjjRieDBzYfq7r5KprDDEBAACAxnrm2TpPPlVmx3hqEACdwIjhSb9+7eeFbcm48Y2rBwAAOgPLQQAA0EEmTCzPgwZ98OQgAPg4a6xRZezoMrt+XDJnjgUhAAAAoHGuvb7sTQwbpucNQOcwYECV4YeV2XU31Glr01cHAKDnshwEAAAdoK7rtE4om83DD0v69HEXRQA+2TFHl+8XM2YkN97UoGIAAACAHm/27DoTJ5XZEWOS5mY9bwA6hyPHlu9Jr72WPPBgg4oBAIBOwHIQAAB0gMceT16dUmajRxmSArBsNtm4yj57l9kVV9Wpa3c5BAAAAFa/myYnM2e2n6sqOWKsnjcAnceOOyRbblFm19+gpw4AQM9lOQgAADpA68Sy0bzJJskO2zeoGAC6pOOOKb9g88yzyaOPNagYAAAAoEe79rqy573vPsn661kOAqDzqKoqRx5Rvjfddkfy3nsWhAAA6JksBwEAwEqaO7fOzTeX2ehRVarKoBSAZbfvPskGG5TZJZcZYgIAAACr1zPP1nnyqTI7+kj9bgA6n1Ejkj6928/z5yetExtXDwAANJLlIAAAWEl33JXMmFlmI0c0phYAuq5evaqceFz5RZvb70hefdWCEAAAALD6XHt92YtYZ9gHNzUBgM5mzTWrHHJwmV13fZ261lcHAKDnsRwEAAAracKEsrm8+27J+uu5iyIAy2/smKR///ZzXSeXXWmICQAAAKwes2fXmTipzI4YmzQ363kD0DkdeUT5HvXiS8mjjzWoGAAAaCDLQQAAsBLeeafOvfeV2ehRhqQArJgBA6oceUSZ3TAumT7dghAAAACw6t00OZk5s/3c1JSMHaPnDUDntesuySablNl1N+ipAwDQ81gOAgCAlTDppmRhW/u5X7/k4IMaVw8AXd8Jx1ZpWqxjM3t2ct0NjasHAAAA6Dmuua78MvW+eyfrr2c5CIDOq6qqHDm2fK+afIubbgEA0PNYDgIAgJXQOqFsKh98UNK/v0EpACtugw2qHHRgmV1xVZ0FCwwyAQAAgFXnmWfqPPVUmR11pH43AJ3f6FFJc3P7ee7cZOKNjasHAAAawXIQAACsoGefq/PMs2XWMtKgFICVd8pJ5fvJG28kt97eoGIAAACAHuGa68sbk6wzLNl3nwYVAwDLYciQKp85oMyuu75OXbvpFgAAPYflIAAAWEFLPjVonWHJ7rs1qBgAupWddqyyw/ZldsmlhpgAAADAqjF7dp2Jk8rsiLFJc7MbYgHQNRx1RPme9exzyZ/+3KBiAACgASwHAQDACliw4MOD0lEjk169DEoB6BgnL/H0oCefSh5/woIQAAAA0PEm35LMmtV+bmpKxo7R7wag69hzj2T99crs2uv11AEA6DksBwEAwAq4/4HknXfLbNRIg1IAOs7BBybrLTHIvNjTgwAAAIBV4PpxZc9h772S9dfT8wag62hqqnLE2PK968abklmz9NUBAOgZLAcBAMAKaJ1QNpG32zbZYnODUgA6TnNzlROOK99bbrs9ee01g0wAAACg47z0Up1HHyuzI8fqdwPQ9Yxp+eDpd381e3Zy082NqwcAAFYny0EAALCcZsyoc/sdZTZ6lEEpAB3vyLHJGmu0n9vaksuvtBwEAAAAdJzrx5e9hsGDk/33a0wtALAy1l23yr77lNm1N+ipAwDQM1gOAgCA5TT5lmTevPZzc3My/LCGlQNANzZwYJWxY8rsuhs+WFQFAAAAWFkLFtRpbS2zlpFJ795uiAVA13TUEeV72FNPJc8+p6cOAED3ZzkIAACW0/gJZfN4v32TwYMNSgFYNU48vkrTYh2cWbOSa69vXD0AAABA93HX3ck775bZEWP1uwHouvbdJxk2rMyuu95yEAAA3Z/lIAAAWA6vvlrn0cfKrGWUQSkAq85GG1Y56MAyu+zyOvPnG2YCAAAAK+f6cWV/4dM7JZtvpucNQNfV3FxlTEuZTZiUzJ2rpw4AQPdmOQgAAJbDhEnlec01k/32aUwtAPQcp55cfinnzbeSG29uUDEAAABAt/DWW3XuubfMxo6xGARA17fkU/BmzEgm39qgYgAAYDWxHAQAAMuoruu0TizvKHX4YUmfPoalAKxaO+5QZZedy+ziS+rUtTsdAgAAACtm/ISkra39vMYayWGHNKwcAOgwG25QZa89y+y66/XTAQDo3iwHAQDAMnr0sWTKlDJrGWUxCIDVY8mnBz33l+S++xtUDAAAANCl1XWd628ovyQ9/NCkf389bwC6hyOPKN/THnk0eeklC0IAAHRfloMAAGAZtU4om8WbbZpsv12DigGgx9l/v2TTTcrswosNMgEAAIDl99DDyatL3AzriLEWgwDoPg48IBk8uMyuu0FPHQCA7styEAAALIO5c+vcfEuZtYyqUlWGpQCsHk1NVU5Z4ulBDzyYPP2MYSYAAACwfG4YV/YTNt882XGHxtQCAKtC795VRo8qs/ETkvnz9dQBAOieLAcBAMAyuOPOZObM9nNVJSNHNK4eAHqmUSOSIUPK7KJLDDIBAACAZTd9ep3Jt5bZEWPcDAuA7ufIJZ6K9957ye13NqYWAABY1SwHAQDAMhg/ofzi9e67Jeuta1AKwOrVt2+V448t339uvjl5/Q0LQgAAAMCyufHmZN689nNzczJqZOPqAYBVZdNNq+y6S5ldd71+OgAA3ZPlIAAA+ARvv13nvvvLrGWUxSAAGuPYo5N+/drPC9uSyy43zAQAAACWzfU3lH2Ez+yfDBms5w1A97Tk04Pu/2My5TU9dQAAuh/LQQAA8Akm3ZS0tbWf1+iXHHxg4+oBoGdba60qY0eX2bXXJ9OnG2YCAAAAH++ZZ+v8+ekyGzvWYhAA3dchBycDB5bZkouyAADQHVgOAgCATzB+QtkcPvjgpH9/w1IAGuekE6s0LdbVmT07ufraxtUDAAAAdA3jxpf97nWGJXvv2aBiAGA16Nu3SsvIMhvXmixYYEEIAIDuxXIQAAB8jGeerfPcc2XWMtJiEACNtdGGVQ4+qMwuvbzO3LmGmQAAAMDSzZtXZ+KkMhvdkvTqpecNQPd25BHle91bbyV339ugYgAAYBWxHAQAAB+jdYmnBq27brL7bg0qBgAWc/op5TDz3XeTG8Y3qBgAAACg07vzruT9aWU2psViEADd31ZbVtlh+zK79rq2xhQDAACriOUgAAD4CAsW1Jl4Y5mNGpE0NRmWAtB4221XZc89yuyii+ssWODpQQAAAMCH3TC+7Bnsukuy8cb63QD0DEeOLd/z7r4nmTJlYYOqAQCAjmc5CAAAPsL9f/zgKQyLaxlpUApA5/G5z5bvS6+9ntx0c4OKAQAAADqtqVPr3Hd/mY0do98NQM8x/LBkwID2c10nl105t3EFAQBAB7McBAAAH2H8hPIuittvn2y2mWEpAJ3HbrsmO2xfZuddWKetzdODAAAAgHatE5O2tvZz//7JIQc1rh4AWN36968yakSZXXHlnMybr58OAED3YDkIAACWYvr0OnfcUWaeGgRAZ1NVVc44vXx/euGF5M67GlMPAAAA0PnUdZ0bxpVffB5+WLLGGnreAPQsxxxVvve9/XadyZPnNagaAADoWJaDAABgKW6+JZk3v/3c3JwcfljDygGAj3TA/skWm5fZuRfUqWt3OwQAAACSRx5NXp1SZmNHWwwCoOfZcssqO3+6zC6+dE5jigEAgA5mOQgAAJaidUL5her990vWWsuwFIDOp6mpymdPK9+jnnoqefChBhUEAAAAdCpLPjVo882SHXdoUDEA0GDHHF320++7f0FefNHNtgAA6PosBwEAwBJefbXOY4+XWctIi0EAdF7DD0s2WL/MzrvAMBMAAAB6upkz60y+tczGjK5SVXreAPRMhxyUDF6rzK6+Tj8dAICuz3IQAAAsoXVi2fxda81kv30bVAwALIPm5iqnnVp+qeePDyR/+pOBJgAAAPRkN09O5sxpP/dqSkaNaFw9ANBoffpUGTOmzMaPrzN3rn46AABdm+UgAABYTFtbndaJZXb48KR3b3dRBKBzG9OSrD2kzM670DATAAAAerIbxpe9gf32S4YO1e8GoGc7+sjyvXD6jOSmmxtUDAAAdBDLQQAAsJjHHk9ee63MWkYZlALQ+fXtW+WkE8v3rFtvS1540YIQAAAA9EQvvFjn8SfKbOxo/W4A2GjDKvvsXWZXX6uXDgBA12Y5CAAAFtM6oWz6brZpst22DSoGAJbTsUcnAweU2QWeHgQAAAA90rglnho0ZEiy374NKgYAOpljjy6/OvnkU8nTz+inAwDQdVkOAgCA/23u3DqTbymzllFVqsqdFAHoGgYMqHLcsWU28cbk9dcNNAEAAKAnWbCgTuuEMmsZmTQ363cDQPLBwuz665Vfn/T0IAAAujLLQQAA8L/dcVcyY2b7uaqSEYc3rh4AWBEnnlClb9/288KFyUWXGGgCAABAT3LPvck775bZmNEWgwDgr5qbqxx/XN8imzQpmTlTPx0AgK7JchAAAPxvEyaUjd7dd0vWX8+wFICuZcjgKkceUWbX3ZC8+66BJgAAAPQUN4wr+wA77pBssbl+NwAs7vhj+6ZXr/bz7DlJ68TG1QMAACvDchAAAOSDL0zfe1+ZjRphUApA13TKSVUx0Jw3L7n0CstBAAAA0BO8/Xadu+4us7Fj9LsBYEnrrdcrhx7Sp8iuurpOXeunAwDQ9VgOAgCAJJNuSha2tZ/79k0OObhx9QDAylh/vSqjRpTZVVclM2YYaAIAAEB3N2HSh/vdww9tXD0A0JmdenK/4vzCi8mDDzWoGAAAWAmWgwAAIEnrxPLL0gcfmPTv706KAHRdp59apVrsrWzGzOTyKxtXDwAAALDq1XWdcePLfvehhyQDBuh3A8DS7LN3czbbtMyuuMqNtgAA6HosBwEA0OP95fk6Tz9dZi2jDEoB6No226zKwQeV2aWX15k1y1ATAAAAuqsnnvzgiQeLGztavxsAPkpVVTnu2PK98o47k9ff0EsHAKBrsRwEAECPN2GJpwYNHZrssXuDigGADnTmGeVAc9q05MqrG1MLAAAAsOqNby373RttmOy6S4OKAYAuYvSoKmus0X5ua0uuuc5yEAAAXYvlIAAAerSFC+tMnFRmIw9PevVyJ0UAur6tP1XlwAPK7OJL68yebagJAAAA3c3cuXVumlxmo1uqVJV+NwB8nAEDqoweVWbXXZ/Mm6eXDgBA12E5CACAHu3Bh5I33yqzllEGpQB0H2d+rnxfe++95JrrGlMLAAAAsOrceXcyY0aZjRrRmFoAoKs59pgP99In39KQUgAAYIVYDgIAoEebMKm829Ontkq22tJyEADdx3bbVtlv3zK76OI6c+e64yEAAAB0J62t5Wf93XZNNthAvxsAlsUWm1fZY/cyu+IqfXQAALoOy0EAAPRYs2bVufXWMvPUIAC6ozPPKN/f3n4nue6GBhUDAAAAdLh33qlz731lNlq/GwCWy3FLPD3oyaeSP/3JghAAAF2D5SAAAHqs2+5IZs9pPzc1JSOGN64eAFhVdtqxyl57ltkFF9aZN89QEwAAALqDSTclC9vaz/36JYcc3Lh6AKArOmD/ZN11yuzKq/XRAQDoGiwHAQDQY02YWDZy99ozGTrUnRQB6J7O+lz5HvfmW8m48Q0qBgAAAOhQ41vLfvfBByb9++t3A8DyaG6ucszR5fvnjTcl771nQQgAgM7PchAAAD3Sm2/W+eMDZdYyyqAUgO5rl52r7LZrmZ13YZ358w01AQAAoCt75tk6zz5XZvrdALBijhyb9O7dfp43P7nBjbYAAOgCLAcBANAjTbwxqRf7LnT//smBBzSuHgBYHZZ8etAbbyQTJjaoGAAAAKBDtE4ob/yx7jrJ7rs1qBgA6OKGDKly2CFldtXVdRYudKMtAAA6N8tBAAD0OHVdf2hYeughSb9+7qQIQPe2+27Jp3cqs3MvqLNggaEmAAAAdEULFtSZeGOZjRqZ9Oql3w0AK+q4Y8v30dffSO6+p0HFAADAMrIcBABAj/PMs8nzL5TZqBEGpQB0f1VVfejpQVOmJJNualBBAAAAwEq57/7k3XfLrGWkfjcArIwdtk+23abMrrzaTbYAAOjcLAcBANDjLPnUoPXWS3bdpUHFAMBqtvdeyfbbl9m559dZuNBgEwAAALqa8Uv0u7ffPtlsM8tBALAyqqrK8Us8Pei++5OXXtJHBwCg87IcBABAj7JgQf2hpyOMGpE0NRmWAtAzVFWVs84o3/defjm5+ZbG1AMAAACsmGnT69xxZ5mNHqXXDQAdYfhhyZprltmV11gOAgCg87IcBABAj/LgQ8m775ZZy0jDUgB6lv33S7bZusz+cF6dtjaDTQAAAOgqbr45mT+//dy7d3L4YY2rBwC6k759qxwxtszGtyazZumjAwDQOVkOAgCgR7nxprJZu/32yaabWg4CoGepqipnfq58/3vhheTW2xpTDwAAALD8WieW/e4D9kvWXFO/GwA6yrFHVakWe2udOTOZOKlx9QAAwMexHAQAQI8xf35y9z1l1jLCoBSAnunAA5KttiyzP5xXp67d9RAAAAA6u5dervP4E2XWMkq/GwA60gYbVNl/vzK74ip9dAAAOifLQQAA9BhvTE3mzW8/Nzcnww9rXD0A0EhNTVU+d0b5paFnn0vuvKtBBQEAAADLrHVC+aXkwYOTffdpTC0A0J0df2zZR3/+heSBBxtTCwAAfBzLQQAA9BivvVYOS/fbNxk82J0UAei5Djko2XyzMvvdH9z1EAAAADqztrY6EyaV2YjhSXOzfjcAdLQ990g23aTMLr1MDx0AgM7HchAAAD3CrFl13nuvzEaPMigFoGfr1avK5z5bvh/++enknvsaVBAAAADwiR56OHnjjTIb3aLfDQCrQlNTlRNPKN9n77oneeklC0IAAHQuloMAAOgRXp2ysDivueYHTw4CgJ7usEOTjTcqs997ehAAAAB0Wq0Tys/sW26RbP2pBhUDAD1Ay8hk0KAyu+xKPXQAADoXy0EAAPQIr7zaVpwPPyzp3dudFAGgufnDTw964snkjw80qCAAAADgI82aVeeWW8usZVSVqtLvBoBVZY01qhx1RJmNb02mTbMgBABA52E5CACAbu+dd9sye1bZmG0ZZVAKAH81ckSywfpl9vtzDTUBAACgs7n19mT2nPZzU9MHn+sBgFXr+GOr9Frs25Zz5iTXXt+4egAAYEmWgwAA6PZeXeKpQZttmmy/XYOKAYBOqLm5yhlLPD3okUeThx62IAQAAACdSeuE8rP63nslw4a6GRYArGrrrlvlkEPK7Mqr6ixYoI8OAEDnYDkIAIBubeHC5LXXyuWgllFVqsqwFAAWN3pUsu66ZebpQQAAANB5vP5GnQcfKrPRo/S6AWB1OfnE8n136pvJLbc2qBgAAFiC5SAAALq1N99KcbemqkpGHN7ASRKTNAABAABJREFUggCgk+rdu8pnTysHmw88mDz6mAUhAAAA6AwmTkrqxT6mDxyQfOaAxtUDAD3NDttX+fROZXbp5XroAAB0DpaDAADo1l57rWzG7rJzsv567qQIAEszdnQydGiZeXoQAAAANF5d1xk/ofyMfuihSd+++t0AsDqdeEL53vvkU8njT+ijAwDQeJaDAADott55p87bb5fZ4cMNSgHgo/TtW+X0U8v3yvvuT558ymATAAAAGumJJ5OXXy6z0aP0uwFgdTvoM8n665XZJZfpoQMA0HiWgwAA6LYm35rUi/Vhm3oln9m/cfUAQFdw1BHJkCFl5ulBAAAA0FitSzw1aOONkk/v1KBiAKAHa26ucvxx5YLurbclr7+ujw4AQGNZDgIAoNu68aayAbveulXWWMOdFAHg4/TrV+XUk8v3y7vuTp5+xmATAAAAGmHevDo33lxmLaOqVJV+NwA0whFjkjX6tZ/b2pIrrtJDBwCgsSwHAQDQLT3zbJ2/PF9mG2zQmFoAoKs55qhkrTXLzNODAAAAoDHuvCuZMaPMRo1oTC0AQDJoUJWxY8rsuuuTWbP00QEAaBzLQQAAdEsTJpaN1379qqw9pEHFAEAX079/lVOWeHrQbbcnz/3FYBMAAABWt/ETys/ju+6SbLCBpwYBQCOdcFyVxR/iN2NmMr61cfUAAIDlIAAAup0FC+pMnFRmG23UVDRnAYCPd9wxyaBBZfaH8ywHAQAAwOr0zjt17r23zEa3aHYDQKNtvHGVA/Yvs8uuqNPWpo8OAEBjWA4CAKDbuf+B5J13y2yjjVz6AsDyGDCgykknlF82mnxL8sKLBpsAAACwutx4U7Kwrf3ct29y6MGNqwcAaLdkD/2VV5O77m5QMQAA9Hi+IQkAQLfTOqH80vJaa1UZOMClLwAsrxOOSwYMaD/XdXKupwcBAADAajN+iX73wQcm/ft7chAAdAa77Zp8aqsyu/RyPXQAABrDNyQBAOhWZsyoc/sdZbbRRr0aUwwAdHGDBlU54bgyu/Hm5OVXDDcBAABgVXv2uTrPPFtmo1ssBgFAZ1FVVU4+sXxvfvCh5Jln9NABAFj9LAcBANCtTL4lmTev/VxVyYYbuOwFgBV10glV1lij/dzWlpx3vsEmAAAArGpLPjVonWHJ7rs1qBgAYKmGH5asPaTMLr5MDx0AgNXPtyQBAOhWWieWjdZhw5I+fdxJEQBW1FprVTnumDKbMDGZ8prhJgAAAKwqCxbUmTSpzEaNTHr10u8GgM6kT58qxx5Tvj/feFPyxlQ9dAAAVi/LQQAAdBuvTqnzyKNltuEGBqUAsLJOOalK377t54VtyXkXGGwCAADAqnL/H5N33i2zllH63QDQGR17dMoe+sLkssv10AEAWL0sBwEA0G1MXOIuioMGffDkIABg5QwZUuWYo8tsfGvy+huGmwAAALAqjJ9Qfubefrtk880sBwFAZzR4cJUxo8vs2uuT6dP10AEAWH0sBwEA0C3UdZ3WJYalBx+UNLniBYAOcerJVfr0bj8vWJBccJHBJgAAAHS0adPr3HFHmXlqEAB0bqecWBWz6Vmzkmuua1w9AAD0PL4qCQBAt/DY48mrU8psxHDDUgDoKMOGVjnqyDK7/obkzTctCAEAAEBHunlyMm9++7m5OTn8sMbVAwB8so02qnLwQWV22RV15s3TQwcAYPWwHAQAQLfQOrFsqm66SbLtNg0qBgC6qdNOqdJ7sacHzZ+fXHixwSYAAAB0pAlL9LsP2D9Zay03wwKAzu60U8r367ffTibd1KBiAADocSwHAQDQ5c2dW+fmm8usZVSVqjIsBYCOtO66VcaOLrNrrkveftuCEAAAAHSEl1+p89jjZTZ6lF43AHQF229XZbddy+yii+u0temhAwCw6lkOAgCgy7vjrmTGzDIbOaIxtQBAd/fZ06r06tV+njcvufhSg00AAADoCK0Tys/Yg9dK9tm7QcUAAMttyacHvfBicvc9DSoGAIAexXIQAABd3oQlhqW775asv547KQLAqrD++lVGjyqzq65J3n3PghAAAACsjLa2Oq0Ty+zww5PevfW7AaCr2HefZIvNy+yiS/TPAQBY9SwHAQDQpb3zTp177yuz0aMMSgFgVTrj9Cq9FusqzZmTXHqZ4SYAAACsjIcfSd54o8z0uwGga6mq6kNPD3r4keSJJ/XQAQBYtSwHAQDQpU26KVnY1n7u1y85+KDG1QMAPcFGG1UZMaLMrrgqmTbNcBMAAABWVOuE8nP1llsk22zdoGIAgBV2+PBknWFldtHF+ucAAKxaloMAAOjSlhyWHnxg0r+/OykCwKr2udOrVIu95c6alVx2heEmAAAArIjZs+tMvrXMWkZVqSr9bgDoanr3rnLiCeV7+K23J6+8oocOAMCqYzkIAIAu69nn6jzzbJm1jDIoBYDVYdNNqww/rMwuuzyZMcNwEwAAAJbXrbcns2e3n5uakpEjPvr1AEDndtQRyYAB7ee6Ti6+VP8cAIBVx3IQAABd1oSJZfN0nWHJ7rs1qBgA6IE+99lyKXfGzOTyKxtUDAAAAHRh41vLfvdeeybDhroZFgB0VQMHVjn6yDIb15q8+64FIQAAVg3LQQAAdEkLFtSZOKnMRo5IevUyLAWA1WXLLaoccnCZXXp5nVmzDDcBAABgWb0xtc6DD5XZ6FF63QDQ1Z14fJXm5vbzvHnJlVfrnwMAsGpYDgIAoEv64wPJ2++UWYthKQCsdmeeUb7/TpuWXHVNg4oBAACALmjipKRe7HvCAwYkB36mcfUAAB1jnXWqjDy8zK64Kpk924IQAAAdz3IQAABdUuvEsmG63bbJFptbDgKA1W3rT1U58IAyu+iS2nATAAAAlkFd1xnfWn6GPuyQpG9f/W4A6A5OOfnDN9gaN75BxQAA0K1ZDgIAoMuZObPObbeXmacGAUDjnPm58n34vfeSa69vTC0AAADQlTz5VPLSy2Wm3w0A3ceWW1TZf98yu/iyOgsWuMEWAAAdy3IQAABdzuRbknnz2s+9eiXDD2tYOQDQ4223bZV99ymzCy+qM3eu4SYAAAB8nPETys/OG22Y7PzpBhUDAKwSp55SLv6+9lpy8+QGFQMAQLdlOQgAgC6ndWI5LN1v32TIYHdSBIBGOmuJpwe9/U5y3Q0NKgYAAAC6gHnz6tx0c5m1jKpSVfrdANCd7LpLsv32ZXbuBXXa2txgCwCAjmM5CACALmXKa3UefqTMRo8yKAWARttpxyp77lFmF15cZ/58w00AAABYmrvuTqZPL7NRIxtTCwCw6lRVlc+dXs60X3ghuf2OxtQDAED3ZDkIAIAuZeKk8jxo0AdPDgIAGm/JpwdNnZrceFODigEAAIBObvyE8oYau+6SbLiBm2EBQHd0wP7JVluW2R/Or1PXbrAFAEDHsBwEAECXUdd1WpcYlg4/LOnTx7AUADqDXXep8umdyuyCi+q0tRluAgAAwOLefbfOPfeWWcsovW4A6K6amqqcscTTg55+OrnnvgYVBABAt2M5CACALuPxJ5JXXi2zlpGGpQDQmSw53HzhxeT2OxtUDAAAAHRSk25KFi5sP/ftmxx6cOPqAQBWvUMPSTbeuMzOPc/TgwAA6BiWgwAA6DKWfGrQJpskO+7QoGIAgKXab99kqy3L7PwLDDcBAABgcUv2uw8+MBkwwM2wAKA769Xrw08Peuzx5KGHG1MPAADdi+UgAAC6hLlz69w0ucxaRlapKsNSAOhMqqrK6aeV789P/Sl54MEGFQQAAACdzHN/qfP0M2XWMkqvGwB6glEjkvXWK7M/nOfmWgAArDzLQQAAdAl33p3MmFFmo0Y0phYA4OMddkiy4YZldv6FhpsAAACQJONby8/Iw4Yle+zeoGIAgNWqubnK6aeWS8EPPJg8/oQeOgAAK8dyEAAAXULrhLIZutuuyfrru5MiAHRGzc1VTju5fJ/+4wPJn/5kuAkAAEDPtmBBnYmTyqxlZNKrl343APQUY0cnQ9cus3PP1z8HAGDlWA4CAKDTe/fdOvfeW2ajRxmUAkBnNrolWXtImZ3n6UEAAAD0cPfdn7zzbpnpdwNAz9K3b5VTlrjB1l13J888o4cOAMCKsxwEAECnN+mmZGFb+7lv3+SQgxtXDwDwyfr2rXLSieVw87bbkxdfNNwEAACg5xrXWn4u3mH7ZLPNLAcBQE9z9JHJWmuW2bkX6J8DALDiLAcBANDptU4om6AHH5j0729YCgCd3bFHJwMHtJ/rOrngIsNNAAAAeqZp0+rceVeZjW7R6waAnqh//yonnlBeB9xyqxtsAQCw4iwHAQDQqT33lzpPP1NmLaMMSwGgKxgwoMqxx5bZhEnJG1MNNwEAAOh5brw5mT+//dy7dzL8sMbVAwA01vHHJgOWuMHWeRfqnwMAsGIsBwEA0KlNmFg2P4cNS/bYvUHFAADL7aTjq/Tp035euDC5+BLDTQAAAHqe8a3l5+EDP5OsOcjNsACgpxo0qMpxS9xga9Kk5NUpeugAACw/y0EAAHRaCxfWmTCpzEaOSHr1MiwFgK5iyJAqR44ts+tuSN57z3ATAACAnuP5F+o89acyGz1KrxsAerqTTqjSr1/7eWFbcuFF+ucAACw/y0EAAHRaf3wgefvtMmsZaVgKAF3NKSdV6bVYF2rOnOTyKw03AQAA6DnGTyg/Bw9dO9lrzwYVAwB0GkMGVzn6yDIb15q8+aYeOgAAy8dyEAAAnVbrxLLhue02yZZbWA4CgK5mgw2qHH54mV1+ZTJrluEmAAAA3d/ChXUmTiqzkSOS5mb9bgAgOfXkKr17t5/nz08uukT/HACA5WM5CACATmnmzDq33V5mLaMMSgGgqzr91PJ9fMaM5JrrGlQMAAAArEb3/zF5660yG63fDQD8b8OGVRk7usyuuS55910LQgAALDvLQQAAdEq33JbMndt+7tUrOfywxtUDAKycLbeocuABZXbJZXXmzTPcBAAAoHsb31p+9t1u22TLLS0HAQDtTj+1Sq/Fvs05d25y6eX65wAALDvLQQAAdEpLDkv33ScZMsSwFAC6stNPK9/L33oraZ3YoGIAAABgNZg+vc7td5SZpwYBAEvaYIMqI0eU2RVXJdOmWxACAGDZWA4CAKDTee21Og8/UmaGpQDQ9e20Y5Xddi2zCy+qs3Ch4SYAAADd002Tk3nz28/NzcnhwxtXDwDQeZ1xepVqsbH4rFnJlVc1rh4AALoWy0EAAHQ6Sz5BYODAZP/9GlMLANCxzji9XPh95dXkllsbVAwAAACsYq0TyhtiHLB/stZaboYFAHzYpptWOfSQMrv08jqzZrnBFgAAn8xyEAAAnUpbW51x48vm5uGHJX36GJYCQHew157JNtuU2fkX1qlrw00AAAC6l5deqvP4E2U2ukWvGwD4aJ/7bHmtMG1actU1DSoGAIAuxXIQAACdyoMPJa+9XmZjxxiWAkB3UVVVzjitfG9/5tnk3vsaVBAAAACsIuMnljfCGDw42XfvxtQCAHQNn9qqygH7l9lFF3t6EAAAn8xyEAAAncoNSzw1aKstk+22bVAxAMAqcdCBySablNn5FxpsAgAA0H0sXFhnwoQyGzUiaW52MywA4OOd9bnyeuG995MrrmpQMQAAdBmWgwAA6DSmTa9z661lNnZ0laoyLAWA7qRXryqnn1K+vz/8SPL4ExaEAAAA6B4efCiZ+maZjW7R6wYAPtn221XZf78yu+iSOjNn6qEDAPDRLAcBANBp3HhTMm9++7m5ORk5onH1AACrzqiRyTrDyuzCiw02AQAA6B7Gt5afcbf+VPKprSwHAQDL5m/OKq8bpk1LLr+yQcUAANAlWA4CAKDTuGFcOSz9zAHJ4MGGpQDQHfXuXeWkE8v3+dvvSF562YIQAAAAXdvMmXVuvb3MPDUIAFge221b5cADyuziS+vMmKGHDgDA0lkOAgCgU3jm2Tp/frrMxo4xLAWA7uyoI5KBA9rPdf3BcBMAAAC6ssm3JHPntp979UpGHN6wcgCALmrJpwdNn55cdkWDigEAoNOzHAQAQKdww/jyi8DrDEv23rNBxQAAq8WAAVWOPqrMWluTt9+2IAQAAEDXNa61/Fy7/77JkMFuhgUALJ+tt65y8EFldsmldaZP10MHAODDLAcBANBw8+bVmTipzEa3JL16GZYCQHd34vFVevduP8+bn1x+lcEmAAAAXdMrr9R59LEyG92i1w0ArJjPn1leR8yYmVx6uR46AAAfZjkIAICGu/3OZNq0MhtjWAoAPcKwYVVGjSizq65OZs0y3AQAAKDraZ1Yfp5da81kv30bVAwA0OV9aqsqhx5SZpdenkzz9CAAAJZgOQgAgIa7YVzZuNx1l2TjjS0HAUBPccrJS9z5cEZy/Q0NKgYAAABWUFtbndYJZTZiRNK7t343ALDiPn9mlWqxy4mZM5NLLrUcBABAyXIQAAAN9cbUOvf/scyOGGtQCgA9yeabVfnMAWV28WV1Fiww3AQAAKDrePiR5PU3ymz0KP1uAGDlbLlFlcMOLbNLL0/ef18PHQCAdpaDAABoqPGtSb1Yz7J//+SQgxpXDwDQGKedUn5ZaurU5ObJDSoGAAAAVsD41vILulttmWyzdYOKAQC6lSWfHjR7dnKxpwcBALAYy0EAADRMW1udG8aXDcvDhyf9+rmTIgD0NDt/usqndyqzCy6uU9eGmwAAAHR+s2bVueXWMmsZVaWq9LsBgJW3+WZVRgwvs8uvSN59Tw8dAIAPWA4CAKBhHn4kee21MjtijEEpAPRUp55cXgc891xy3/0NKgYAAACWwy23JrPntJ97NSUjD29cPQBA93PWmVWaFvvG5+w5yUWXWA4CAOADloMAAGiY628oG5VbbJ5sv11jagEAGu8zBySbbFJmF15ssAkAAEDnN35C+fl1n32SoUPdDAsA6DibblJl5Igyu/Kq5N139dEBALAcBABAg0yfXueW28rsiLFVqsqwFAB6qqamKqct8fSgBx5M/vRng00AAAA6rymv1Xno4TIbPUqvGwDoeGedUaXXYt/6nDMnueAiPXQAACwHAQDQIDfenMyb137u1SsfussRANDzjByRDF27zC7y9CAAAAA6sQkTy/OgQckB+zemFgCge9t44yqjRpXZVdckb7+tjw4A0NNZDgIAoCFuGFc2Jz9zQDJksDspAkBP17dvlROOL68JJt+avDrFYBMAAIDOp67rjJ9QfmY9fHjSp49+NwCwapx5RpVevdrPc+d6ehAAAJaDAABogGefq/OnP5fZEWMMSgGADxx9VLLGGu3ntrbk0ssMNgEAAOh8Hn0smTKlzMa06HcDAKvORhtWGdNSZldfk7z1lj46AEBPZjkIAIDVbsmnBg0bluy1Z4OKAQA6nTUHVTnqyDK7flzy3nsGmwAAAHQu41rLz6qbb55st21jagEAeo7PfbZ8etC8+cn5F+qhAwD0ZJaDAABYrebNqzNxUpmNHpU0N7uTIgDQ7qQTysHm3LnJlVc3rBwAAAD4kNmz60y+pcxGj6pSVfrdAMCqtcEGVY4YU2bXXJdMnWpBCACgp7IcBADAanXLbcn708pszGiDUgCgtN66VQ4fXmZXXlVnzhyDTQAAADqH225PZs1qPzc1JaNGNK4eAKBnOeOzVZqb28/z5yfneXoQAECPZTkIAIDV6trrymbk7rslm2xsOQgA+LDTTimvEd57PxnX2qBiAAAAYAnjWst+9157JsOG6XcDAKvH+utVOfKIMrvu+uT11y0IAQD0RJaDAABYbV54sc7Dj5TZ0UcalAIAS7fVllX23afMLr60zoIFBpsAAAA01utv1HnwoTIb06LfDQCsXmecVqVP7/bzggXJH87TQwcA6IksBwEAsNos+dSgwYOTgw5sTC0AQNew5NODpkxJbr29QcUAAADA/zZhYlIv1vIeOCD5zAGNqwcA6JnWXbfKUUeV2bjxySuvWBACAOhpLAcBALBazJ1bZ/yEMhszOund250UAYCPttuuyXbbltmFF9Wpa4NNAAAAGqOu64yfUH4uHX5Y0revfjcAsPqdcVqVvn3bzwvbkt/9QQ8dAKCnsRwEAMBqcfMtyfTpZXbUWINSAODjVVWV004trxn+/HTy0MONqQcAAAAefyJ55ZUyG92i3w0ANMbQoVWOP67MJt6YPP+CBSEAgJ7EchAAAKvFtdeVjce99kw23tiwFAD4ZAcfmGy4YZldcJGhJgAAAI2x5FODNtkk2XGHBhUDAJDk9FOq9O/ffq7r5De/00cHAOhJLAcBALDK/eUvdR57vMyOPtJiEACwbHr1qnLKSeW1w733Jc8+Z7AJAADA6jV3bp2bbi6zMS1VqkrPGwBonLXWqnLyiWV2y63J08/oowMA9BSWgwAAWOWuWeKpQUPXTj5zQIOKAQC6pDEtyeC1yuyiSww1AQAAWL1uuyOZObP9XFXJqBGNqwcA4K9OOqHKoEFl9uvf6qMDAPQUloMAAFil5sypM2FimY0ZkzQ3u4siALDs+vWrctyx5fXDjTclb0w12AQAAGD1Gd9afg7dY/dk3XX1uwGAxhs0qMppp5TXJXfdnTzxpD46AEBPYDkIAIBV6qbJyYwl7qJ41FiDUgBg+R13TNK3b/t54cLk0ssNNQEAAFg9pk6tc/8fy2zMaP1uAKDzOP7YZPDgMvP0IACAnsFyEAAAq9Q115aNxr33SjbYwLAUAFh+gwdXOWJMmV17XTJtusEmAAAAq17rxKRe7CPogAHJQZ9pXD0AAEvq37/KZ08r5/H3/zF56GF9dACA7s5yEAAAq8wzz9R58qkyO+Yoi0EAwIo7+aQqTYt1tGbPTq65tnH1AAAA0DPUdZ1xreWXaocflvTrp+cNAHQuxx6dDB1aZr/+bZ26tiAEANCdWQ4CAGCVuea6srm4zrBkv30bVAwA0C1suEGVQw8us8uvqDN3rqEmAAAAq85jjyevvFJmY1osBgEAnU/fvlXOPKO8Tnnk0Q+eIAQAQPdlOQgAgFVi1qw6E28ssyPGJs3NhqUAwMo59ZTyeuLtd5KJkxpUDAAAAD3C+CWeGrTpJsmOOzSoGACAT3DEmGT99crsV7/x9CAAgO7MchAAAKvEjTcns2a1n5uakiPGWgwCAFbedttW2WP3MrvokjptbYaaAAAAdLw5c+rcNLnMRrdUqSo9bwCgc+rTp8pZZ5bXKk/9KbnzrgYVBADAKmc5CACAVeKaa8sv5+67T7LeugalAEDHOG2Jpwe99LKhJgAAAKvGrbd9+GZYLSMbVw8AwLJoGZlsvFGZ/eq3brQFANBdWQ4CAKDD/enPdf78dJkdfaTFIACg4+y9V7LVVmV24cUGmgAAAHS8ca3l58299kzWWUfPGwDo3Jqbq/zN58trlueeSybf2qCCAABYpSwHAQDQ4a65rhyUrrvuB08OAgDoKFVV5bSTy6HmY48njz5mQQgAAICO8/rrdR58qMzGtFgMAgC6huGHJltsXma/+W2dBQv00gEAuhvLQQAAdKiZM+vceGOZHXVElV69DEsBgI41/LAPlpAX5+lBAAAAdKTWiUm92EfNgQOTzxzQuHoAAJZHr15Vzvmbclb/0stJ64QGFQQAwCpjOQgAgA418cZk9pz2c6+m5IgxjasHAOi+mpurnHJiOdS8487kxRctCAEAALDy6rrOuNbyM+bhw5O+fd0MCwDoOg46MNlu2zL77e/rzJ2rlw4A0J1YDgIAoMPUdZ0rriobiPvvnwwbZlAKAKwaR4z94K7Ni7voEgNNAAAAVt4jjyZTppTZmBb9bgCga6mqKl/6QnkNM/XN5JprG1QQAACrhOUgAAA6zAMPJi+8UGbHHm1QCgCsOv37Vzn2mDKbMCl5620LQgAAAKycJZ8atPlmyfbbNagYAICVsOceyW67ltm559eZNUsvHQCgu7AcBABAh7niyrJxuNmmyV57NqgYAKDHOOHYKn16t5/nz08uv8JAEwAAgBU3a1adyZPLbMzoKlXlhlgAQNeztKcHvfd+csllDSoIAIAOZzkIAIAOMeW1OnfcVWbHHWtQCgCsekOHVmlpKbOrr0lmzrQgBAAAwIq59bZk9pz2c1NTMnJE4+oBAFhZO+1Y5TMHlNlFl9R57z29dACA7sByEAAAHeKqq+vUi/UMBwxIRo9qXD0AQM9yyklVFt9JnjEzufb6xtUDAABA1zautfyS7D57J8OGuhkWANC1feHsspc+a1Zy/oWWgwAAugPLQQAArLTZs+tcd0OZjWlJ+vc3KAUAVo9NN6ly4GfK7LLL68yfb6gJAADA8nl1Sp2HHi6zMS363QBA17fVllVGDC+zK69Kpk7VSwcA6OosBwEAsNIm3pjMmFFmxx1rUAoArF6nnVJef0x9M7nx5gYVAwAAQJfVOqH8cuyaayYH7N+gYgAAOtjZn6/Sq1f7ed785PfnWQ4CAOjqLAcBALBS6rrOFVeWjcL99k022dhyEACweu20Y5WdP11mF11cp64NNQEAAFg2bW11xreW2YjhSZ8+et4AQPew0UZVjjyizG64IXn5Fb10AICuzHIQAAAr5aGHk788X2bHe2oQANAgp51aXof85fnknvsaVAwAAABdzsOPJK+/UWajW/S8AYDu5azPVenbt/28sC359W8tBwEAdGWWgwAAWCmXL/HUoE02Sfbeq0HFAAA93v77JptvVmYXXmSgCQAAwLIZ11p+htxyi2TbbRpUDADAKjJsaJXjjyuzm25OnnlGPx0AoKuyHAQAwAp7/fU6d9xZZscfW6WpyV0UAYDGaGqqcsrJ5bXIQw8nT/3JQBMAAICPN2tWnVtuLbMxo6tUlZ43AND9fPbUKgMHlNmvfqOXDgDQVVkOAgBghV15TZ22tvZz//7J6FGNqwcAIElGHp4MHVpmF15soAkAAMDHu/mWZM6c9nOvpg8+YwIAdEdrrlnl1FPKJei77kkefUw/HQCgK7IcBADACpkzp871N5TZmJZkwAB3UAQAGqtPnyonnVBek9x6W/LKKwaaAAAAfLRx48vPjfvum6y9tp43ANB9nXh8MmRImf3iV3XqWj8dAKCrsRwEAMAKaZ2YTJtWZscda0gKAHQORx/5wVMN/6qtLbn4MsNMAAAAlu6VV+o8+liZjRmt5w0AdG/9+1f53GfLa55HHk3uua9BBQEAsMIsBwEAsNza2upcfGn55dp99k423cSgFADoHAYOrHL0kWU2bnzy7nsWhAAAAPiw8RPKz4trrZnsv2+DigEAWI2OPjJZf70y+9Wv67S16acDAHQlloMAAFhud96VvPJKmZ1yksUgAKBzOfH4Ks3N7ed585IrrzLMBAAAoLRwYZ3xE8psxIikd299bwCg++vTp8rfnFVe9zz9TDL51gYVBADACrEcBADAcrvokvJLtZ/aKtlzjwYVAwDwEdZdt8qI4WV2xVXJ7NkWhAAAAGj34EPJ1KllNrbFYhAA0HOMGplsvlmZ/fq3dRYs0E8HAOgqLAcBALBcHn+izqOPldmpJ1epKoNSAKDzOfXk8hpl2rTkhvENKgYAAIBOaXzrh2+ItfXWet4AQM/Rq1eVL5xdXv+8/HIyvrVBBQEAsNwsBwEAsFwuvrQckq4zLBl+WIOKAQD4BFtuWWX/fcvskkvd7RAAAIAPzJhR59bby2yMpwYBAD3QQQcm221bZr/7Q525c/XTAQC6AstBAAAss1en1LltiSHpiSdUaW42KAUAOq9TTymvVV57Pbnl1gYVAwAAQKcy+ZZk7tz2c69eyYgRDSsHAKBhqqrKl75Q9tOnvplcfW2DCgIAYLlYDgIAYJlddnmdtrb2c//+yVFHNK4eAIBlsesuyfbbl9mFF9epa3c7BAAA6OnGtZafDfffNxky2A2xAICeac89kt13K7Pzzq8za5Z+OgBAZ2c5CACAZTJtWp3rx5XZUUckAwcakgIAnVtVVTl9iacHPf1M8sCDDSoIAACATuHlV+o89niZjW7R8wYAeq6qqvLFc8rroffeTy6+tEEFAQCwzCwHAQCwTK6+Npkzp/3cq1dy4gmGpABA13DgZ5KNNyqz8y5wp0MAAICerHVC+blw8FrJfvs2qBgAgE5ipx2rfOaAMrv40jrvvaenDgDQmVkOAgDgE82bV+fyK8pG3/BDk/XWtRwEAHQNvXpVOeWk8trlgQeTJ540zAQAAOiJ2trqjJ9QZiMOT3r31vcGAPji2VWqxS6LZs1KzrtQPx0AoDOzHAQAwCeaeGPyzrtldsrJBqQAQNcyuiUZunaZnXu+YSYAAEBP9OBDydSpZTamRd8bACBJttyyysjDy+yqq5LX39BTBwDorCwHAQDwsdra6lx8adng22P3ZJutDUkBgK6lb98qJy/x9KA770qeedYwEwAAoKcZ31p+Ftxqq2RrfW8AgEX+5vNVevVqP8+bn/z2d/rpAACdleUgAAA+1p13JS+8UGaeGgQAdFXHHJWsuWaZnXeBYSYAAEBPMnNmnVtuKzNPDQIAKG20YZVjjiqz1onJX/6ipw4A0BlZDgIA4CPVdZ1zl/iy7JZbJPvu3aCCAABWUv/+VU46ofzC1+RbkpdeMswEAADoKSbfmsyd237u1SsZeXjj6gEA6KzOPKPKGv3az21tyS9+rZ8OANAZWQ4CAOAjPfBg8tRTZfbZ06tUlTsoAgBd1/HHJgMGtJ/rOjn/QsNMAACAnmJ8a/kZcL99kyFD9L0BAJa09tpVTjm5zO68K3nkUT11AIDOxnIQAAAf6bwlnhq04YbJYYc0phYAgI4yaFCV444pswkTk9deM8wEAADo7l55pc4jj5bZ6FEWgwAAPsqpJ1cZPLjMfv7LOnWtpw4A0JlYDgIAYKmeeLLOAw+W2WmnVGluNiQFALq+k06s0rdv+3lhW3LBxQaZAAAA3V3rxPKz31prJvvv16BiAAC6gP79q5z1ufJ7Ao89/sEThAAA6DwsBwEAsFTnL/HUoKFDk9GjGlQMAEAHGzK4ytFHltkN45K33rIgBAAA0F21tdVpnVBmIw5Pevd2UywAgI9z9JHJBhuU2c9/VWfhQj11AIDOwnIQAAAf8pe/1Ln9zjI75aQqffsakAIA3cepJ1fp3bv9PH9+ctGlBpkAAADd1cOPJK+/UWajW/S9AQA+Se/eVb5wdnnd9MILSevExtQDAMCHWQ4CAOBDzr+w/FLsoEH50J31AQC6unXWqTKmpcyuuTZ57z0LQgAAAN3RuNby896WWyTbbN2gYgAAupjDD0u2/lSZ/ea3debO1VMHAOgMLAcBAFB4dUqdm24usxOOS/r3d/dEAKD7Of20Kr0W65DNmZNcerlBJgAAQHcza1adW24ts9EtVapK7xsAYFk0NVX58hfLa6epbyZXXNWgggAAKFgOAgCgcNHFdRa2tZ/X6JeccJzhKADQPW24QZXDDy+zK65Kpk+3IAQAANCd3HLrBzeE+KteTcnIwz/69QAAfNjeeyW771Zm511Q66kDAHQCloMAAFjkrbfr3DC+zI46KllrLctBAED3dcbpVRa/UfTMmcmVVzesHAAAAFaBca3lF1b32ScZOlTvGwBgeVRVla98qbyGmj49ueAiy0EAAI1mOQgAgEUuvqTO/Pnt5969k1NONBwFALq3zTercvBBZXbpZXVmzzbMBAAA6A5enVLn4UfKbEyL3jcAwIrYfrsqhxxcZpdenrz5pp46AEAjWQ4CACBJ8s47da66psxGtyTrrGNACgB0f2d+trzmeX9acu31DSoGAACADtU6ofyi6qBByf77NagYAIBu4IvnVOm12LdP581LfvsHy0EAAI1kOQgAgCQfPOZ77tz2c6+m5PRTLAYBAD3D1ltX2X/fMrvw4jpz5xpmAgAAdGVtbXVaJ5bZiOFJnz763wAAK2rTTaocMbbMbhiXvPiinjoAQKNYDgIAIG+9/eGnBrW0JBttZDgKAPQcnzujvPZ5++1kXGuDigEAAKBDPPJo8tprZTamRe8bAGBlff6sKv36tZ/b2pJf/sZyEABAo1gOAgAg519YZ9689nOvXsmZZxiOAgA9y047Vtlj9zI774I68+cbZgIAAHRV41vLz3RbbJ5su21jagEA6E6GDa1y4gllduttyeNP6KkDADSC5SAAgB7uzTfrXHttmY0ZnWy4geUgAKDnWXJBeurUZPyEBhUDAADASpk1q87kW8psdEuVqtL/BgDoCKefUmXNNcvs57+sU9cWhAAAVjfLQQAAPdx5F9SZN7/93NycnPlZg1EAoGfabddkl53L7Lzz6yxYYJAJAADQ1dx6ezJ7Tvu5qSkZOaJx9QAAdDcDB1b53BLfL3j4keSeextUEABAD2Y5CACgB3v9jTrX3VBmR4xN1l/fchAA0DNVVZWzPldeC732ejJhUoMKAgAAYIWNby1v9LDP3smwofrfAAAd6dijk/XWK7Of/7LOwoVuugUAsDpZDgIA6MHOO7/O/MWeGtS7d/K50w1GAYCebc89kp12LLNzz/P0IAAAgK7ktdfqPPhQmY1u0f8GAOhofftWOefz5XXWc39JJt3UoIIAAHooy0EAAD3Ua6/VuWF8mR11RLLuuoajAEDPtrSnB706Jbnx5gYVBAAAwHJrnVieBw5MDtivMbUAAHR3I0ckW25RZr/+TZ1589x0CwBgdbEcBADQQ517fp0FC9rPfXonZ3hqEABAkmSfvZPttyuzP5xXZ+FCg0wAAIDOrq7rjJ9Qfn47fPgHd7UHAKDj9epV5UtfKK+1Xn8jufqaBhUEANADWQ4CAOiBXp1SZ1xrmR19VDJsmMEoAECy9KcHvfxycvMtjakHAACAZffoY8mUKWU2pkX/GwBgVdp/v2SXncvsD+fVmTHDTbcAAFYHy0EAAD3Qb39fZ+HC9nOfPsnppxmMAgAsbv/9km22LrM/nFunrc0gEwAAoDMb11p+btt8sw8/HRYAgI5VVVW+8qXyewfvT0suukRPHQBgdbAcBADQwzz3lzoTJ5XZscckw4ZaDgIAWNzSnh70wovJLbc1qCAAAAA+0ezZdW6eXGajW6pUlR44AMCqttOOVQ78TJldclny1tsWhAAAVjXLQQAAPcyvflOnXqzvtsYayWc9NQgAYKk+c0Cy1VZl9vs/eHoQAABAZ3Xb7cns2e3npqZk1IjG1QMA0NN86QtVmhb7ZuqcOclvfqenDgCwqlkOAgDoQR5/os4dd5bZqSdXGTLYchAAwNI0NVU564zyWukvzyeTb2lMPQAAAHy8ca3lF0/32jMZNkwPHABgddl8sypjWsrshnHJX563IAQAsCpZDgIA6CHqus7Pf1k22wavlZxyUoMKAgDoIg4+KNlyizL7ze/qLFhgkAkAANCZvP56nQcfKrMxLRaDAABWt3P+pkq/fu3ntrbkZ7/QUwcAWJUsBwEA9BD33Z88/EiZnfHZKv37G4wCAHycpqYqZ3++vGZ66eVk0k0NKggAAIClap2Y1It953TggOQzBzSuHgCAnmrYsCqnnlxmd9+TPPCgBSEAgFXFchAAQA/Q1lbnF78um2zrrpscc1SDCgIA6GIOOjDZZusy+90fPD0IAACgs6jrOq0Tys9oww9L+vZ1gywAgEY49eQqaw8ps5/8rE5bm746AMCqYDkIAKAHmHxr8vTTZfY3Z1WGogAAy6iqqpzzN+W105QpybjWBhUEAABA4bHHk1deLbPRLXrgAACN0r9/lbOX6Ks//Uwy8cYGFQQA0M1ZDgIA6OYWLKjz69+Wd97ZbNOkZWSDCgIA6KL22zfZYfsy+/25debNc5dDAACARhvfWn4223STZMcdGlQMAABJkrGjk803K7Nf/rrO3Ln66gAAHc1yEABANze+NXn55TI752+qNDe7YyIAwPKoqipfOLu8hpo6Nbnu+gYVBAAAQJJkzpw6N00us9EtVapKHxwAoJGam6t85Usf7qtfdkWDCgIA6MYsBwEAdGNz5tT57e/LO+5su01yyMENKggAoIvbc49k113K7Nzz68yZ4y6HAAAAjXLb7cmsWe3nqkpGjWhcPQAAtNt/v2S3XcvsvAvqvPuevjoAQEeyHAQA0I1dfGny5ltl9uUvulsiAMCKqqoq5/xNeS319jvJVdc0qCAAAAAyfkL5xdK99kzWXVcfHACgM6iqKl/9SnltNnNm8odzLQcBAHQky0EAAN3UW2/VueDCspm2x+4f3O0eAIAVt+suVfbas8wuuLDOrFkGmQAAAKvbG1Pr/PGBMhvdYjEIAKAz2W7bKiMPL7OrrklefkVfHQCgo1gOAgDopn712zqz57Sfqyr52lc8NQgAoCMs+fSg995PLr+yQcUAAAD0YBMmJvVi3ykdMCA56DONqwcAgKX74jlV+vRuPy9cmPz8l5aDAAA6iuUgAIBu6Oln6owbX2ZjRidbb20xCACgI+y4Q5X99yuzCy+qM22aQSYAAMDqUtd1xrWWn8OGH5b07asXDgDQ2ay/fpUTTiizW29LHn1MXx0AoCNYDgIA6Gbqus6PflIXd0pco1/yhbMNQwEAOtKSTw+aMTO54CJDTAAAgNXliSeTV14ps9Gj9MIBADqrM06rstaaZfaTn9Wpa711AICV1dzoAgAA6Fh33Jk89HCZffb0KsOGGojSM82cOTOPPPJIpk6dmvfffz/9+/fPsGHDstVWW2XTTTdtdHnLbN68eXnggQfy0ksvZe7cuRk6dGh22223bLjhhiv8Zz744IN54IEHkiQbbLBBjjjiiI4qF6BH2GbrKsMPrXPT5PbssiuSE46rs846rr0AAABWtSWfGrTxxslOOzaoGKDD6Ot/NH19oKsbNKjKmZ9Lfvjj9uu4J55MJt+aHHZI4+oCAOgOLAcBAHQj8+fX+cnPymHouusmp5zUoIKggR555JH87ne/y/3335+FCxcu9TVbb711jj322Bx77LGpqo7/Evezzz6bs846KwsWLCjy//7f//tyDewuueSS/PrXv8706dM/9Hv77bdfvv3tb2ejjTZartpmzpyZ//E//kfeeuutJMn/+l//a7l+fkVNmTIlxx13XJHdc889q+3P+spXvpKHHnroY1/Tu3fv9O7dO2uuuWaGDBmSDTfcMFtssUV23HHH7LzzzhkwYMAK1Zsk//f//X9n3Lhxi85nn312vvCFL6zwnwc03jlnV7nl1joL2z44z5uX/P7cOt/5e8tBAAAAq9LcuXVuurnMxrRUq6TPB6we+vofT1//o+nrQ9dy7NHJFVcmr05pz37xyzoHHpD07u1aDgBgRVkOAgDoRq66Onnl1TL78her9O2rgUbPsWDBgvznf/5nrrrqqk987TPPPJPvfe97mTRpUv75n/856623XofVsXDhwvzP//k/PzRAXF7/+q//mquvvvojf//uu+/OOeeck5/85CfZcsstl/nP/dnPfrZogHjooYdm//33X6k6u5P58+dn/vz5mTVrVl5//fU89dRTi36vT58+2XvvvXPcccdlv/3282UTIJtsXOWIsXWuua49u/6G5JST62yysf9GAAAArCq33ZHMnNl+rqpk1MjG1QOsOH39ZaOv/9H09aFr6d27ype/mPz//rn9xqevTkmuuiY56YQGFgYA0MU1NboAAAA6xvvv1/ntH8qnBu2wfTJieIMKggZYsGBBvv3tb39ogNjc3JxddtklI0aMyGc+85msv/76xe8/9NBD+cY3vpH333+/w2q58MILi+HTirj++uuLAWKfPn2yzz775PDDDy/uKPjuu+/mH//xHzN37txl+nP/9Kc/5corr0yS9O/fP9/85jdXqs6eZN68ebnjjjvyrW99K2eddVYef/zxRpcEdAJnfa5Knz7t54Vtya9/W3/0DwAAALDSxreWn7v22D1Zb11f+IauRl9fX39V09eHzumQg5Oddiyz359bZ/p0vXUAgBXlyUEAAN3E7/5QZ8aMMvvG1yp3v6JH+clPfpJ77rmnyE466aScc845WXPNNYv83nvvzfe+9728+uoHj9t68cUX8w//8A/56U9/utJ/b1566aX8+te/XnTu379/Zs2atVx/xoIFC/Lzn/980XnjjTfOD37wg0XDw7a2tvz617/Ob3/72yTJCy+8kOuvvz7HH3/8x/65bW1t+d73vpe2trYkyTnnnJN11113uWrrTr7+9a/n0EMPLbK2trbMmDEj06dPz5tvvpknn3wyjz32WP785z8Xr/vzn/+cL33pS/n617+eU045ZXWWDXQy66xT5YTj61x4UXt2083J6afW2WZr12IAAAAd7c036/zxgTIb0+LzF3RF+vr6+stLXx+6h6qq8tWvJF/5Wvsy0LRpyXkX1PnbL7uuAwBYEZ4cBADQDfzlL3WuurrMhh+a7LSjphk9x/PPP59LLrmkyL7xjW/kW9/61ocGiEmyzz775Je//GVxp76HHnooN95440rVUdd1/r//7/9bdLe/ww47LNtuu+1y/zn33HNP3nrrrUXn/+v/+r+KWpuamvLFL34xe++996Ls+uuv/8Q/98orr8yTTz6ZJNl6661z8sknL3dt3claa62VDTfcsPh/G2+8cbbbbrvstddeGTNmTL797W/nD3/4Q84///wceeSRaWpq/yi9cOHC/Nd//VfOP//8Bv5TAJ3BZ0+tMnBAmf3iV+5wCAAAsCq0Tkz+93fkkyT9+ycHHdi4eoAVo6+vr78i9PWh+/j0TlUOOajMLr8ief11vXUAgBVhOQgAoIur6zrf/2GdhYsNQvv0Tr78RYtB9CznnXfeorvmJclee+2V00477WN/ZujQofmnf/qnIvvZz36WhQsXrnAdV1xxRR5++OEkycCBA/Otb31rhf6cRx55ZNGvt9122+y4445Lfd3idxR8+umnM3v27I/8M99+++1Fdy2sqirf/e5306tXrxWqryf61Kc+lX/6p3/Kf/3Xf2XIkCHF7/30pz/Nfffd16DKgM5gzTWrnH5aef11733JQw8bYgIAAHSkuq4zvrX8rDX80KRfPz1x6Gr09fX1VzV9fej8vvTFKov/Z23e/OSXv9ZXBwBYEZaDAAC6uJtvSR56uMxOPy3ZYAODUHqOuq5z1113Fdnpp5++TD+7++67Z4cddlh0njJlSh588MEVquP111/PT3/600Xnr33taxk2bNgK/Vmvvvrqol8vXt+SFh8uLly4MK+//vpHvvYHP/hBZsyYkSQ5+uij8+lPf3qFauvp9t577/z4xz9Ov379FmVtbW353ve+l/nz5zewMqDRTjguGbp2mf3iV3Xq2iATAACgozz5VPLSy2XWMko/HLoaff0P6OuvHvr60HltsnGVY48us4k3Jn/6k746AMDyshwEANCFzZ5d5yc/LZti662XnH6qQSg9y/PPP5/33ntv0bl3797Zfffdl/nn99133+J88803r1Ad//qv/5pZs2YlSXbdddccffTRn/ATH2369OmLfr3WWmt95OsGDx78kT+3uD/+8Y+ZOHFikmTIkCH5yle+ssK1kWy11Vb59re/XWSvvPJKJkyY0KCKgM5gjTWqnPm58jrs8SeSO+/6iB8AAABguS351KCNNkx29l156HL09Zf+c4vT1+9Y+vrQeZ31uSoDBpTZT37uxlsAAMvLchAAQBd23gV1pr5ZZl//2yr9+lkOomeZOnVqcd5kk03Sp0+fZf75rbbaqjgvebfCZXH99dfnnnvuSZL06dMn//AP/5CqWvG/i4vXv2DBgo983ZK/t7R/7vnz5+ff//3fF52//vWvf+xgkmUzZsyYbLzxxkV29dVXN6YYoNM4cmyy4YZl9otf1Vm40BATAABgZc2dW+fGm8psdEu1Un04oDH09Zf+c3+lr79q6OtD5zR4cJUzTi//+/vQw8lddzemHgCArspyEABAF/Xqq3UuuqTM9tg9OfigxtQDjTRt2rTiPHDgwOX6+SVf/8Ybb2TGjBnL/PNvv/12fvjDHy46n3XWWdl8882Xq4YlLX7nwFdfffUjX/fKK68U5yFDhnzoNeedd15efPHFJMluu+2WMWPGrFRtfKCpqSknnnhikT3xxBN5++23G1QR0Bn07l3lnL8ph5jPv5BMvLEx9QAAAHQnd9yZzJjZfq6qpGVU4+oBVpy+fjt9/dVHXx86rxOPT9Zdt8x++vM6Cxa48RYAwLKyHAQA0EX98Cd15s9vP/fqlfy3b7hDIj1Tc3NzcZ6/+F+OZbC01z///PPL/PP//u//vmiQueWWW+aMM85Yrv/9pdl2220X/fqBBx7IvHnzlvq6xe+GOHjw4Ky33nrF77/66qv5wx/+kOSD/zt997vfXenaaLf33nsX57qu8/jjjzeoGqCzOPywZImb1+a3v6szb54hJgAAwMoYP6H8XLX7bsn66+mJQ1ekr/8Bff3VT18fOqe+fat86Zzyuu7Fl5LrbmhQQQAAXZDlIACALujue+vceVeZnXBcssXmhqD0TGuttVZxfuutt5br55f2+r/eke+T3HTTTbnllluSJFVV5R/+4R/Su3fv5frfX5r99ttv0bLftGnT8rvf/e5Dr5k6dWouuOCCRef999//Q6/593//98ydOzdJcvrpp2eLLbZY6dpot/nmm2fQoEFF9swzzzSoGqCzaGr68BDztdeTa69vUEEAAADdwFtv1bnv/jIb3aInDl2Vvv4H9PVXP3196LxGHJ5ss02Z/ea3daZPd+MtAIBl0fzJLwEAoDOZN6/OD35UNr/WHpJ8/kxDUHquzTffvDi/+eabmTp1atZd8tnzH2Fpd4SbOXPmJ/7c+++/n//4j/9YdD7++OOz8847L9P/5ifZZJNNsv/+++fOO+9Mkvzud7/Le++9l7Fjx2bQoEF58skn84tf/CLvv/9+kqSpqSknnXRS8WfcdNNNueeee5IkG2ywQT7/+c93SG0dbcqUKSv0c1OnTu3gSpZfVVXZZJNN8uSTTy7K3njjjQZWBHQW++2b7Pzp5NHH2rPfn1tnTEvSv7/rNgAAgOU1YVLS1tZ+XmON5OADG1cPsHL09fX1G0VfHzqvpqYqX/tK8o1vtn8f4r33P+itf/2r+uoAAJ/EchAAQBdzyWXJK6+U2Ze/WGXgQM0weq6hQ4dms802K+4KOH78+Jx55pmf+LOzZ89edIfAxS3LEPH73/9+3n333STJOuusk6985SvLXvQy+Pa3v51HH30006dPT5JcddVVueqqq5b62lNPPTXbbbfdovPMmTPzX//1X8Wf1a9fvw6tr6Mcd9xxjS5hpay55prF+a//TgA9W1VV+dIXkq9+Y7Eh5nvJRZfUOfvzrtsAAACWR13XGd9a3jTrsEOTNdbw+Qq6Kn19ff1G0teHzmv33aocdGCd225vzy6/Mjn6qDqbbuLaDwDg4zQ1ugAAAJbdlNfq/P7ccgC64w5Jy6gGFQSdyKhR5V+E888/f5nuQPeLX/wiM2bM+FA+a9asj/25u+66K62trYvO3/nOdzJgwIBlrHbZbLDBBvnRj36UoUOHfuzrTjrppHzta18rsl/+8pd58803kyQHH3xwDjjggOL358yZk/PPPz/nnHNORo4cmYMOOijHHHNM/vmf/zmPPPJIh/5zdHeDBg0qznPnzm1QJUBns8vOVfbfr8wuuiR566166T8AAADAUv3pz8kLL5bZmBZfDoWuTl9fX79R9PWhc/vql6v07t1+Xrgw+fFP9dUBAD6J5SAAgC6iruv81w/qLN6brqrkm9+o0tRkCAonnnhiBg4cuOg8ffr0fPOb3/zYQeKFF16YSy65ZKm/19T00R+XZs6cmX/7t39bdD700ENz0EEHrUDVn2y77bbLpZdemi9/+cvZYYcdMmjQoPTp0yfrr79+Ro0alV/84hf51re+lapq/+/A008/ncsvvzxJssYaa+Rb3/pW8Wc+++yzOfnkk/PjH/84jz/+eKZNm5Z58+bl9ddfT2tra770pS/l+9//fupak31ZtLW1FefF//8C4MtfrLL4W8qcOcmvf+u/rwAAAMtj3BJPDdpww2TnTzeoGKDD6Ovr6zeKvj50bhttVOXEE8rsrruT++733zgAgI/T3OgCAABYNrfdkdx1T5kde3Sy3Xaa1ZB8cJe3f/qnf8r/+X/+n4uy5557LqecckqOPfbY7L///hk2bFjmzp2bp59+Otddd11xJ7111123GDguPpBc0o9//OO88cYbi17393//96vgn6jdgAEDctZZZ+Wss876xNfWdZ1/+7d/y8KFC5Mk55xzTtZbb71Fvz916tR89atfzfvvv58k6d+/fw444ICsueaaeeKJJ/KnP/0pSXLJJZekb9+++epXv9rx/0BLuOeeez75RUsxZcqUHHfccR1czfJb8g6Vffv2bVAlQGe05RZVxo6pc9317dm41uSkE+psuaXrOAAAgE8yd26dG28qs9GjKl/khm5AX/8DHd3X/9u//duO/wdagr4+sKqd+dkqra113nm3PfvRT+r87tdJc7PrQACApbEcBADQBcyaVecHPyzvgjN07eSL52h6weIOPfTQfPOb38wPfvCDRXd9mzVrVi644IJccMEFH/lzJ510UmbMmJFx48YtygYNGrTU1z7wwAO5+uqrF52/9rWvZdiwYR3zD9ABrr766jzxxBNJkk996lM5+eSTi9//z//8z0UDxE033TQ//vGPs+666y76/XPPPTc//elPkyTnn39+RowYkb333ns1Vd81TZ8+vTgPHjy4MYUAndbZn69y4411Zs/54NzWlvz0F3X+499cywEAAHySO+9Olmi/pGVkY2oBOp6+fsf39Q8//PBss802q6n6rklfHzq/AQOqfPGc5F//vf17Es+/kFxzXXL8sY2rCwCgM/vo5+kCANBp/Pb3daa+WWZf+2qVgQN9oRSWdPLJJ+f73/9+Nttss098bf/+/fPtb3873/zmN/Pmm+VfsqFDh37o9XPmzMm//Mu/pK4/aELvuuuuOfroozum8A7wzjvv5Gc/+1mSpKqqfPe7301zc/s9IV599dXcdttti87/43/8j2KAmCSf+9znFi0DtbW15eKLL14NlXddbW1tefHFF4tsgw02aFA1QGc1bGiVU8rvdOSee5P7/1gv/QcAAABYpLW1/Oy0+27JBhvojUN3oq/fsX39Sy65ZDVU3nXp60PXMbol2fpTZfab39WZNl1vHQBgaTw5CACgk3v2uTqXXV5me+6RHH5YY+qBrmCfffbJhRdemNtuuy133XVXHnvssbzzzjuZNWtWhgwZkg033DAHHXRQWlpaFg0LlxwEbbfddh/6c8ePH59XXnklSdLU1JQzzzwzr7322ifWM2/evOL8/vvvZ8qUKYvO/fr1y9prr73c/5xL+tGPfpRp06YlSY488sjsvPPOxe/fddddiwagW221VXbaaael/jnHHHNM7rvvvkU/w0d7/vnnM3PmzCL71Kc+9RGvBnqyU0+ucu11dd5+pz376c/r/OaXSVOTL7UBAAAszVtv17n3vjIbPcpnKOiO9PX19VcXfX3oOnr1qvKNryVf/2/ty0DTpiW/+32dv/u6a0IAgCVZDgIA6MTa2ur8x/+qs7CtPevTO/n7b1apKs0u+Di9evXKoYcemkMPPfQTX/vGG29k6tSpi87rrLPOh+68lyRz585d9Ou2trZ885vfXKHafvSjH+VHP/rRovNBBx2U733veyv0Z/3Vgw8+mPHjxydJBg8enK9+9asfes2f//znRb/eYYcdPvLP2nHHHRf9+t13381rr73mrnkf4a/D1r9qamrKpz/96QZVA3Rm/ftXOftvku/9R/sQ85lnkwmTktGjGlgYAABAJzZxUor++Br9koMPalw9wKqlr99xff033ngj66233krV113p60PXstuuVQ45qM4t7Q9Ry5VXJ8ccVWezzXxnAgBgcU2NLgAAgI92/bjk8SfK7PTTkk021uSCjnT//fcX5913371BlayY+fPnF0PIr33ta1lrrbU+9Lp333130a8/7o6GS/7eO++88xGv7Nna2tpyxRVXFNlOO+2UIUOGNKgioLMb05JsvnmZ/eo3debOrZf6egAAgJ6sruuMby0/Lx16yAc3XwDQ1y8t+XuL/xzt9PWha/rbr1Tp07v9vHBh8uOf6asDACzJchAAQCf17rt1fvaLsqG18UbJZ08z+ISOdt111xXno446qkGVrJgLLrggL7zwQpJk1113zdixY5f6unnz5i3Tn1fX5X97Fr+zIu3GjRuXV155pciOOeaYxhQDdAnNzVX+9kvltdzUqcmllzeoIAAAgE7sz39Onn+hzEa36I8DH9DXLy3Z11/Wn+tp9PWha9pwgyonn1Rmd9+T3HOvBSEAgMU1N7oAAACW7gc/rjN9epn9/Ter9O1r+Akd6eGHH84jjzyy6LzZZptljz32WOprTznllJxyyinL/b/xla98JQ899NCi83//7/89RxxxxPIXuxRTpkzJ7373uyRJc3Nzvvvd76aqlv7fiYEDBy769VtvvfWRf+aSv7fmmmt2QKXdy3PPPZf/+I//KLJNN900I0eObFBFQFex377JHrsnDzzYnp1/YZ0jxiZDBrvOAwAA+KvxE8ove26wQbLLzg0qBuhU9PU/bMnfGzRoUAdU2r3o60PXdsbpVcaNr/P2O+3Zj39aZ889PrgxFwAAnhwEANAp3X1PnRtvKrPhhyV77ampBR1pzpw5+d73vldkX/rSlxpUzYr5z//8z0VP9jn11FOz5ZZbfuRrN9poo0W/fuyxxz7ydY8//viiX/fq1SsbbrhhB1Tafdx///35+te/njlz5izKmpqa8t3vfjfNze7BAXy8qqryt18ur+lmzkx+/wd3OAQAAPirefPqTFqiR94yMmlq0iOHnk5ff+mW7Ouvv/76HVBp96GvD11f//5VvviF8lrwhReTq69tUEEAAJ2Q5SAAgE5m1qw6//H98suhgwYlf/c1Q0/4JAsWLFjm186aNSvf+ta38pe//GVRduihh+awww5bFaWtEpMnT86dd96ZJFl//fVz9tlnf+zrd9lll0W/fumll/LHP/5xqa+78sorF/16m222Sf/+/Tug2q7vueeey7/8y7/k7/7u7/LOO+8Uv/fVr341e+65Z4MqA7qabbepMmpEmV19bfLSyxaEAAAAkuSuu5Np08qsZZQeOXRH+vqrpq+/xhprdEC1XZ++PnQvo0cl22xTZr/5XZ1p0/TWAQCSxK0PAAA6mV/9ps4bb5TZ1/62ytprG3zCJ7n66qszefLkjB49OgcccECGDBnyodfMmjUrkydPzs9//vO8+eabi/INNtgg3/nOd1ZnuStl1qxZ+f73v7/o/Pd///fp16/fx/7Mfvvtl6FDh+btt99Okvw//8//kx/+8IfZbLPNkiRtbW352c9+locffnjRzxxxxBEdX3wn8v7772fKlClF1tbWlhkzZmTmzJmZOnVqnnzyyTz22GP505/+9KGf79WrV/7u7/4uJ5100uoqGegmvnB2lcm31Jk3/4PzwoXJL35V53/+3675AAAAxrWWX/DcdZdkow19XoLuSF+/4/v6Y8eO7fjiOxF9fei5mpqq/N3Xkq9+o/1acfr05Le/r/PfvuFaEQDAchAAQCfyxJN1Lr+yzPbYPRnT0ph6oKup6zoPPPBAHnjggVRVlQ033DCbbrppBg0alLlz5+btt9/On//858yfP7/4uQ033DA/+MEPsvbaazeo8uX361//OlOnTk2SHHzwwTnwwAM/8Weam5vzxS9+Mf/yL/+SJHnjjTdy+umnZ7fddstaa62Vp556Kq+++uqi12+22WbdfjnoRz/6UX70ox+t0M9uv/32+fa3v50dd9yxg6sCeoL1169y4gl1LrioPbv1tuTRx+rs/GlDTAAAoOd65506995bZmNafE6C7kpf/+Pp63+Yvj70bLvsXOWwQ+vcPLk9u+rq5Oij6myxuWtGAKBnsxwEANBJzJ9f53v/Uade7IaIffok3/lWlarSxILlVdd1Xn311WIotjQHHnhg/vEf/3GpdyPsrJ555plccsklSZI11lgj3/zmN5f5Z48++ug8/vjjue6665IkCxYsyP333/+h1w0ePDj/7//7/37iXQt7mj59+mTvvffOcccdl/32289/n4GVcsbpVa6/oc7709qzH/20zi9+8sEdEAEAAHqiiTcmC9vaz/36JYcc3Lh6gNVHX3/p9PVXjr4+dD9f+WKVO+6oM+9/740ubEt+/NM6//k9f78BgJ7NchAAQCdx4cXJc38ps785q8rGG2tgwbLaZZddMnz48Nx///2ZNm3aR76uV69e2XvvvXPqqadm7733Xo0Vrry6rvO9730vCxcuTJKcffbZWX/99Zfrz/jHf/zHbLXVVvnNb36T6dOnf+j3995773znO9/JJpts0iE1dzW9evVKnz59MmjQoKy99trZaKONsvnmm2ennXbKzjvvnAEDBjS6RKCbGDiwyllnJj/4Uft2+FNPJTfelIwc0cDCAAAAGqSu64wbXxfZIQcn/fvrk0N3pa+/bPT1P56+PvQsG2xQ5ZST65x7fnt2733J3ffU2W9f140AQM9V1XVdf/LLeqZ333130a+rqsrgwYOTJO+99178nw2Wj79DsHL8Her+Xnqpzpln15k/vz3b+lPJr35epblZ82qFzZ2Rfjf9c3r37pMkmT9/XuYM/+ek78DG1sUqV9d1XnrppTz//POZOnVqZs6cmaqqMnDgwGy66abZcccdu+wg6PXXX190d8DevXvns5/9bJqbV+y+D3Pnzs0DDzyQl19+OXPnzs2QIUOy6667FsND70Gwcvwd4pPMn1/njM/XeeWV9mydYcmF51VZYw3Xgf4Owcrxd4jl0Vnuur74bAYaxX8/6cka/e//n5+uc/YXy//NH36/yu67+XzEKmSW0Cno6y+bZenrL69G/7cfGsW/+13brFl1Tj2jzttvt2ebbpKc+zvfsVgW/v2np/LvPj2Zf/87p46ezXhyEABAg7W11fnef5aLQU1Nyf/xHU0rWFFVVWWzzTbLZptt1uhSOtz666+fL3zhCx3yZ/Xt2zf7779/h/xZAKyY3r2rfO1vk3/4x/bm65tvJRdeXOfsz7sWBAAAepbxE8ovpqy/XrLrLg0qBlit9PWXjb4+wAf696/y5S8k//Nf268fX3o5ufLq5KQTGlcXAEAjNTW6AACAnu66G5KHHymzk05IttvWl0EBAHqCA/ZL9tyjzC68OHljqrs1AQAAPcf8+XUmTSqzllFJU5NeOQAAHzZqZLLdtmX229/Xee89vXUAoGeyHAQA0EBvvVXnZz8vG1MbrB93iQcA6EGqqso3vlqlabFO3dy5yS9+aYAJAAD0HHfdk7w/rcxGj9IrBwBg6Zqaqnzja+X14owZHywIAQD0RJaDAAAa6Ps/rDNjZpl95++rrLGGgScAQE+y5ZZVjjqyzCbemDz+hCEmAADQM4xvLT//7LJzstFGeuUAAHy0nT9dZfhhZXbNtclfntdbBwB6HstBAAANcuvtdW69rcxGjUz23suwEwCgJzr781UGDiizH/64TlubISYAANC9vftunbvvKbPRLXrlAAB8sq98qUqfPu3nhW0f9NbrWm8dAOhZLAcBADTAjBl1/td/lY2owWslX/9bw04AgJ5qyOAqnz+rvB588qnkxpsaVBAAAMBqMunGZOHC9nO/fslhhzSsHAAAupD116ty2ill9scHkjvubEw9AACNYjkIAKABfv7LOm+/XWbf+HqVwYMtBwEA9GTHHZNsskmZ/ewXdWbPdodDAACg+xrXWn7mOfjApH9//XIAAJbN6adWWWdYmf3op3XmztVbBwB6DstBAACr2SOP1rn62jLbZ+9kxPDG1AMAQOfRu3eVr32l/ALcm28lF15sgAkAAHRPzzxT59nnymx0i8UgAACW3RprVPnKl8tryClTkksvb1BBAAANYDkIAGA1mju3zvf+o/xi5xr9ku98q0pVGXYCAJDsv1+y155lduHFyRtTLQgBAADdz/gJ5WeddddNdt+tQcUAANBljRiefHqnMjv3vDpvvqm3DgD0DJaDAABWo/MuqPPiS2X2hbOrrL++xSAAAD5QVVW+/rdVmhbr3M2dm/z8lwaYAABA9zJ/fp2Jk8ps9KikqUnPHACA5VNVVf7bN6osfl/W2XP01gGAnsNyEADAavKXv9Q5/8Iy23675PjjGlMPAACd15ZbVjn6qDKbdGPy+BOGmAAAQPdxz73Je++XWcsoi0EAAKyYbbepcsSYMpswSW8dAOgZLAcBAKwGCxfW+bf/qLNgQXvWq1fyf3ynSq9eBp0AAHzY2WdVGTigzH744zptbYaYAABA9zCutfx88+mdkk021jMHAGDFffGcD/fW/+uHeusAQPdnOQgAYDW4+prkiSfL7LRTk09tZcgJAMDSDR5c5fNnldeLTz71wROEAAAAurp336tz9z1lNqZFzxwAgJUzZMiHe+t/+nMyrrVBBQEArCaWgwAAVrHX36jz81+Vd6DZeOPkrDMMOQEA+HjHHZNsskmZ/fyXdWbPdodDAACga5t0Y7JgQfu5T5/k0EMaVQ0AAN3J8ccmm21aZr/4VZ2ZM/XWAYDuy3IQAMAqVNd1/tf368yeXeb/x7er9O1rOQgAgI/Xu3eVr32lvG58863kwosNMAEAgK5t3Pjyc80hByUDB+qbAwCw8pqbq3zja+W15bvvJr8/V28dAOi+LAcBAKxCN09O7rqnzI4cm+y2qwEnAADLZv/9kr32LLMLL07emGqICQAAdE1PP1Pn2efKbHSLvjkAAB1nn72rHLB/mV12RfLSy3rrAED3ZDkIAGAVmTatzn/9qGwqDV07+cqXDTgBAFh2VVXl61+t0rRYJ2/u3OTnvzTABAAAuqZxreXnmfXWS/bYvUHFAADQbX3tb6s0N7efFyxIfvQTvXUAoHuyHAQAsIr8+Gd13n23zP7bN6qsOchyEAAAy2fLLaocfVSZTboxefQxQ0wAAKBrmT+/zqRJZTZ6VNLUpHcOAEDH2mTjKiedWGZ335PcfY/eOgDQ/VgOAgBYBR54sM648WV24AHJIQc3ph4AALq+s8+q8v9n787jdCzbP45/z3tmzBgMg7ErJbIUkS0VSsqepV0qWbJm1yYRbfa9QpREpES2ijYUsmSJkCL7vo/Zz98f83tmnGYwmJl7ls/79Xper67juu77Pjyvnsd1Hsd1nFf27G5s5Bir6GiamAAAAADSjxW/SqdOu7F6DzEYBAAAgJTxXEujPLnd2KixVpGR1NYBAEDGwnAQAABAMgsPtxo81C0iBQZKPboZGUODEwAAANcmVy6j559z7ye3b5cWLLrEBwAAAAAgDVq42K2f31FeKlyY2jkAAABSRmCgUft27v3m3r3SrNleSggAACCFMBwEAACQzD6earVvvxtr384oJITmJgAAAK5PsyZSsWJubMJEq9Nn2OEQAAAAQNp37JjVqlVurH5daucAAABIWQ89KJUp7cY+/sTq8GFq6wAAIONgOAgAACAZ/b3Tavrnbuz226Qmjb2TDwAAADIWX1+jbl3cB+dOnpImT6GBCQAAACDt+/Z7KTom/jhrgFSrpvfyAQAAQObg8Rh172pkLiivnw+Txn1AbR0AAGQcDAcBAAAkk+hoq8FDraKj42O+vlLvnkYeDzsfAgAAIHlUutOoVg03Nudraec/NDEBAAAApF3WWi1c7K5b7qslBQZSPwcAAEDKK13KqGEDN7b0B2ndemrrAAAgY2A4CAAAIJnMmStt2erGnn5KuvkmGpsAAABIXp06GGXJEn8cHSONGmNlLU1MAAAAAGnT1r+kXbvcWL261M8BAACQel5oY5QjhxsbMcoqKoraOgAASP8YDgIAAEgGhw5bfTjRLRYVLSq1bEFjEwAAAMmvYEGjFk+6sXXrpR9/9k4+AAAAAHAlCxe5NfRChaQ7ynspGQAAAGRKuXIZtWvjPsfx7y7pyzneyQcAACA5MRwEAABwnay1Gj7S6vx5N96np5G/P8NBAAAASBlPP2VUIL8bGzveKiyMHQ4BAAAApC3h4VZLlrqx+nWNjKGGDgAAgNTVuKFUsoQb+2iK1bFj1NYBAED6xnAQAADAdfr5F2nFr26sUQOpwh00NQEAAJBy/P2NOnd07zkPH5Y+m0EDEwAAAEDasmy5dPZc/LExUt0HvZcPAAAAMi8fH6PuXd3aemioNP5DausAACB9YzgIAADgOpw5YzVilFsgyh0sdWjPYBAAAABSXs0a0p0V3dhn06X9B2hiAgAAAEg7Fi521ygVK0gFClBHBwAAgHfcfptRvYfc2LffSRs2UlsHAADpF8NBAAAA1+GDCVbHjruxrl2MgnLQ1AQAAEDKM8aoaxcjnwuqfBGR0tjxNDABAAAApA2HD1v9vsaN1a9LDR0AAADe1eEFo2zZ3NiIUVZRUdTXAQBA+sRwEAAAwDXasNFq7jdurHo16f77vJMPAAAAMqebbzJq1tSN/bJM+n0NDUwAAAAA3rf4O8lesDzJli32LagAAACAN+XObdS6lTu0/vdOJXgOBAAAIL1gOAgAAOAaRERYDRnmPmyZNUDq0c3IGHY8BAAAQOp6/jmjXDnd2Kgx7HAIAAAAwLustVq4yF2X3H+fFBBAHR0AAADe16yJdPNNbmziR1YnTlJbBwAA6Q/DQQAAANdg2nRp12431ra1UYECNDQBAACQ+nLkMHqhrXsvumu39OUcLyUEAAAAAJI2bZb27nNj9etSRwcAAEDa4Otr1KObe3969qz04QSGgwAAQPrDcBAAAMBV2rXb6tPP3EJQqVul5s28lBAAAAAgqUH92PvSC03+2Or4cZqYAAAAALzj4rcG3VBUuq2sl5IBAAAAEnFHeaM6D7ix+QulP7dQWwcAAOkLw0EAAABXISbGasgwq8jI+JiPR3qpl5GPD7sdAgAAwHs8HqNuL7r3pOfOSR9OooEJAAAAIPWdP2+19Ec3Vq+ukTHU0gEAAJC2dGpvlDWrGxs+0io6mvo6AABIPxgOAgAAuArzF0obNrqxxx+XSpSgmQkAAADvu62sUd2H3NiChdKWrTQwAQAAAKSun5dJ58/HH3s8Ut0HvZcPAAAAcCl58xq1etZ97mPb9thnRAAAANILhoMAAACS6Ogxq/Hvuw9VFiwoPf8sg0EAAABIO9q3MwoMdGMjRlvFxDAgBAAAACD1zF/grkEqV5JCQqinAwAAIG16tLl04w1u7MOJVqdOUVsHAADpA8NBAAAASTRqjNXZc26sT0+jgACamQAAAEg78uYxeu4Z9x5161Zp8bdeSggAAABApvPfHqs/Nrix+nWppQMAACDt8vMz6vaie896+rQ08SOGgwAAQPrAcBAAAEASLP/V6sef3NhDD0qVK9HMBAAAQNrzaHOpaFE39v4Eq7NnaWICAAAASHkLFrprj5xB0r33eCkZAAAAIIkqVzKqVdONzf1G2rad2joAAEj7GA4CAAC4gtBQq+EjEzYyO3dkMAgAAABpk5+fUdfO7v3qiRPSlKk0MAEAAACkrKgoq0WL3Vjdh6QsWaipAwAAIO3r3NEoICD+2Fpp+EirmBjq6wAAIG1jOAgAAOAKJnxkdfiwG+vcySg4F41MAAAApF3Vqhrdc7cbm/2ltGs3DUwAAAAAKWfFb9LxE26sYQPq6QAAAEgfCuQ3euZp9/71zy3S4m+9lBAAAEASMRwEAABwGVu2Wn35lRurdKdU90Hv5AMAAABcjS4djfz84o+jo6XRY62sZUAIAAAAQMqYv8Bdb9x+m3RTMYaDAAAAkH488ZhUpLAbG/+h1Zkz1NYBAEDaxXAQAADAJURFWQ0ZZnXhc5NZski9exgZQyMTAAAAaV/hwkZPPO7GVv8uLVvunXwAAAAAZGyHDlutWu3GeGsQAAAA0pssWYy6vujex548KX30McNBAAAg7WI4CAAA4BK+miPt+NuNPf+cUeHCNDIBAACQfjzTwigkrxsbM84qPJwmJgAAAIDktXCRFBMTfxwYKN1fy2vpAAAAANfsrqpG997txr6aI/29k9o6AABImxgOAgAASMThw1YTJ7sFnZtvin11NAAAAJCeZM1q1KmDO+B+4KA0Y6aXEgIAAACQIUVHW81f6NbV69SOXZMAAAAA6VGXzkZZssQfx8RII0ZZWcuAEAAASHsYDgIAAEjE6HFW58+7sV49jHx9aWICAAAg/al9v1S+nBv79DOrg4doYAIAAABIHmvWSocOubFGDaipAwAAIP0qVNDo6afce9oNG6Xvl3gpIQAAgMtgOAgAAOAiv620+ulnN9aogVTudpqYAAAASJ+MMer2opHngmpgeLg0/gOGgwAAAAAkj28WuOuLW4pLt97qpWQAAACAZNLiSalgATc27n2rc+eorwMAgLSF4SAAAIALhIVZDR/lFnBy5ZTat2MwCAAAAOlbiVuMHm7sxn74UVq3ngYmAAAAgOtz4oTV8hVurFFDI2OorQMAACB98/c3erGze1977Lg05RNq6wAAIG1hOAgAAOACU6dZHTjgxjq2N8qZkwYmAAAA0r82rYyCgtzYqDFWUVE0MQEAAABcu0XfSlFR8cdZskh1HvBePgAAAEByuuduqVpVN/bFl9K/u6itAwCAtIPhIAAAgP+3a7fV9M/d2B3lpXp1vZMPAAAAkNxy5jRq29odfN/5jzR3npcSAgAAAJDuWWs1f4H7UOR9NaWgHGy6BQAAgIzBGKOuXYz8/OJj0dHSyNFW1jIgBAAA0gaGgwAAABTbvBw2wjo7G/r4SD26GRlDAxMAAAAZR+OG0i3F3djEyVYnT9LABAAAAHD1Nm6S/tvjxho1pK4OAACAjKVoEaMnHndja9dJP/7snXwAAAAuxnAQAACApG+/l9b/4caefFy6+SYamAAAAMhYfHyMund173PPnpUmfsRwEAAAAICr981Fbw0qUkQqX85LyQAAAAAp6JkWRvnyubGx46xCQ6mvAwAA72M4CAAAZHqnT1uNHe8Wagrkl557hsEgAAAAZEzlyxk9UNuNzZsvbdtOAxMAAABA0p05Y/XjT26sUQMjY6ivAwAAIOPJmtWoS0f3XvfwEenTz6itAwAA72M4CAAAZHofTLQ6edKNde9qFBBA8xIAAAAZV8cXjAIC4o+tlUaOtrKWJiYAAACApFnygxQeHn/s4yPVe8h7+QAAAAAprVZN6c6KbmzGTOm/PdTWAQCAdzEcBAAAMrXNf1rN+8aN1bhXurs6g0EAAADI2PLlM3q2pXvfu2mz9P0SLyUEAAAAIN35Zr77AOQ9d0u5c1NfBwAAQMZljFH3rkY+PvGxqCg23wIAAN7HcBAAAMi0oqKshgx3CzNZA6SuXWhcAgAAIHN47BGpcCE3Nu4Dq9BQGpgAAAAALm/bdqvtO9xYwwbU1wEAAJDxFbvR6LFH3Njq36Vly72TDwAAgMRwEAAAyMRmfyXt3OnGnm9llD8fzUsAAABkDv7+Rl06u/e/x45Jn3zKcBAAAACAy7v4rUH58klVKnkpGQAAACCVtXrWKE8eNzZ6rFV4OPV1AADgHQwHAQCATOnQYauPJrsFmeLFpUebeykhAAAAwEvuvkuqVtWNzfxC2rOXBiYAAACAxIWFWX2/1I01qCf5+LD5FgAAADKHwECjTh3c+9+Dh6Rp06mtAwAA72A4CAAAZEqjx1qdD3Njvbob+frSuAQAAEDmYozRi52MfH3jY1FR0pixNDABAAAAJG7pj9K5c/HHxkgN6lFfBwAAQOZSp7Z0R3k39tl0ad8+6usAACD1MRwEAAAynV9/s/r5FzfWqKF0+200LgEAAJA53XCD0WOPuLFfV8beOwMAAADAxebOc9cKVSpLBQpQYwcAAEDmYoxR965GPhc8iRsRKY0cY2Ut9XUAAJC6GA4CAACZSliY1YhRbgEmV06pQzualgAAAMjcnnvGKE9uNzZ6rFVEBA1MAAAAAPF27LDastWNPdyIGjsAAAAyp+I3GzVr6sZ+Wyn9stw7+QAAgMyL4SAAAJCpfPKp1YGDbqxTB6OgIBqXAAAAyNwCA406tHfvi/fuk2bN9lJCAAAAANKkud+4GwjkzStVv8tLyQAAAABpQOtWCTffGjXG6vx5Nt8CAACph+EgAACQafy7y2r6527sjvJS3Ye8kw8AAACQ1jz4gHRbWTf2yVSrI0doYAIAAACQQkOtvlvixhrWl3x92YALAAAAmVf27EadO7n3xIcPx25gCwAAkFoYDgIAAJmCtVbDRlhFR8fHfH2lXj2MjKFpCQAAAEiSx2PU7UWjC2+Rz4dJ739IAxMAAACAtOQHKTQ0/tjjkRo2oMYOAAAAPHC/VLGCG/t8lrRrN/V1AACQOhgOAgAAmcLib6U/NrixJx+Xit1I0xIAAAC4UKlbjRo2cGPfLZE2bqKBCQAAAGR2c+e564JqVaUC+amzAwAAAMYY9ehm5OsbH4uKkoaPtLKW+joAAEh5DAcBAIAM79Qpq3Hvu4WWggWkZ1vSsAQAAAAS066NUfZsbmzEKKvoaBqYAAAAQGb11zarbdvd2MONqLMDAAAA/1PsRqMnHnNj69bHvoETAAAgpTEcBAAAMrwPJlidPOXGunc1CgigaQkAAAAkJjiXUevn3fvlHX9L3yzwUkIAAAAAvG7uN+5mAfnyxb45CAAAAEC8Z1sa5c/vxsaOtzp3js23AABAymI4CAAAZGibNtsEDzDWrCFVv4vBIAAAAOBymj4s3VTMjU2cZHX6NA1MAAAAILM5d85qyRI31qiBkY8PtXYAAADgQlmzGr3Y2b1PPnZM+mgKtXUAAJCyGA4CAAAZVlSU1dDhbnEla1apa2ealQAAAMCV+PoadXvRvXc+dZoGJgAAAJAZfbdEOh8Wf+zjkRrW914+AAAAQFpW456Eb9mc/ZW042/q6wAAIOUwHAQAADKsWbOlnf+4sdatjPLlYzgIAAAASIo7KxrVqunG5syV/t5JAxMAAADILKy1mjvPXQNUv0sKCaHWDgAAACTGGKPuLxpl8YuPxcRIw0daxcRQXwcAACmD4SAAAJAhHTxkNeVjt6ByS3HpkWZeSggAAABIpzp3MPL3jz+OiZFGjraylgYmAAAAkBls2Sr9vdONPdyYwSAAAADgcgoXNnq6hXvfvGmztOhbLyUEAAAyPIaDAABAhjRqjNX5sPhjY6RePYx8fWlYAgAAAFejQAGjp59y76P/2CD98JN38gEAAACQuuZ+424MULCAVKWyl5IBAAAA0pEWT0qFC7mx9z+wOn2azbcAAEDyYzgIAABkOMt/tVq23I01aijdVpbBIAAAAOBaPPWEVCC/Gxs33ur8eRqYAAAAQEZ2+rTV0h/cWKOGRh4P9XYAAADgSvz9jbp1de+dT56SPpxIbR0AACQ/hoMAAECGcv681chRbhElVy6pfVsalQAAAMC18vc36tLJvac+fESaNp0GJgAAAJCRLVgkhYfHH/v4SA3qeS8fAAAAIL25q6pRzRpubN58aetf1NcBAEDyYjgIAABkKB9PtTp4yI117mgUFMRwEAAAAHA9atwrVbrTjc34XNq3nwYmAAAAkBFFR1vNmeve79eqKeXJQ70dAAAAuBovdjYKCIg/tlYaOtwqOpr6OgAASD4MBwEAgAzjn3+sPp/lxircIT1UxyvpAAAAABmKMUZduxj5XFBRjIiUxo6jeQkAAABkRKtWS/v3u7HmTRkMAgAAAK5W/nxGzz3j3ktv2x77BiEAAIDkwnAQAADIEGJirIaOsIqOjo/5+ko9uxsZQ7MSAAAASA43FTNq3syNLVshrVrNgBAAAACQ0Xw5J8Y5vqW4dPttXkoGAAAASOcef1QqdqMb+3Ci1YkT1NcBAEDyYDgIAABkCIu+lTZucmNPPSEVu5HBIAAAACA5tXrWKFcuNzZyjFVEBA1MAAAAIKPY/V+0Vq5yY82bshkXAAAAcK38/Ix6dHPvp8+elcZ/QG0dAAAkD4aDAABAunfqlNX4991iScGC0rMtaVICAAAAyS1HDqP27dx77T17pJlfeCkhAAAAAMnu85lhznH27FKdB7yUDAAAAJBBVKxgEtxXL/pW2rCRASEAAHD9GA4CAADp3vsfWp067cZ6dDXy92c4CAAAAEgJ9etKZUq7sY+nWh08RAMTAAAASO9CQ63mzA13Yg3rSwEB1NwBAACA69Wpg1G2bG5s2AirqCjq6wAA4PowHAQAANK1DRut5i90Y7VqSHdVo0kJAAAApBSPx6hndyNzwW13eLg0ZhzNSwAAACC9m78wXGfOxN/bGyM1fZiaOwAAAJAc8uYxavO8e3/9z7/S7K+8lBAAAMgwGA4CAADpVlSU1bAR7sOHWbNKL3amSQkAAACktFtLGjV52I39/Iu0chUDQgAAAEB6Za3VjJlhTqxaValwYeruAAAAQHJp+rBU4hY39tEUqyNHqK8DAIBrx3AQAABIt2bNjt095UJtnzfKl48mJQAAAJAa2rY2ypXTjY0cbRURQQMTAAAASI82bJS2b492Ys2aUnMHAAAAkpOvr1HP7u599vnz0tjx1NYBAMC1YzgIAACkSwcPWk3+2C2KlLhFatbUSwkBAAAAmVBQDqMO7d0G5t590oyZXkoIAAAAwHX5co5bdy9cSKpa2UvJAAAAABnYbWWNGtR3Y0t/lH5fw4AQAAC4NgwHAQCAdMdaq+EjrcLC4mPGSL16GPn6soMhAAAAkJrqPSTdVtaNTZ1mdeAADUwAAAAgPTlyxOrnX9z7+GZNjTwe6u4AAABASujQzigoyI0NH2UVEUF9HQAAXD2GgwAAQLrz48/SryvdWOOGUtkyNCgBAACA1ObxGPXoZuS5oNIYHi6NHkfzEgAAAEhP5s23io6OPw4IkOrV9V4+AAAAQEaXK5fRC23dZ1327JE+n+WlhAAAQLrGcBAAAEhXzpyxGjXafcgwd7D0QjsGgwAAAABvKVnCqOnDbmzZcum3lQwIAQAAAOlBeLjVnLlu7MEHjIJyUHsHAAAAUlKjBlLp0m7sk0+tDhygvg4AAK4Ow0EAACBd+XCi1bHjbqxrFxqUAAAAgLe1ed4oVy43NnK0VXg4DUwAAAAgrVvyg3TypBt7pBl1dwAAACCleTxGPbsZmQtuv8PDpdFjqa0DAICrw3AQAABINzZttvp6nhurVlW6/z7v5AMAAAAgXo4cRh1fcB8e3LdfmjHTSwkBAAAASBJrrWZ94T54WK2qn4oXZzgIAAAASA2lbjVq+rAbW7ZCWvErA0IAACDpGA4CAADpQmSk1eChbtEjIED/v3sKDUoAAAAgLaj7kHT7bW5s6jSr/QdoYAIAAABp1dp10s5/3FjLFgHeSQYAAADIpNq2NgoOdmMjx1iFh1NfBwAAScNwEAAASBdmzJT+3eXGnn/OqGBBBoMAAACAtMLjMerR1chzQdUxIkIaPZbmJQAAAJBWzZrt3q/feINHNe7181I2AAAAQOaUI4dRx/buMzAHDkiffkZ9HQAAJA3DQQAAIM3bu9fq40/cYkeJW6THHvFSQgAAAAAuqUQJo2ZN3NjyFdKKX2lgAgAAAGnNf3usfv3NjT3dIqs8HjbmAgAAAFJb3Qel8uXc2GczpD17qa8DAIArYzgIAACkadZaDRluFREZH/N4pD69jHx9aU4CAAAAaVHrVkbBwW5s1Fir8HAamAAAAEBaMvtL9x49R3bp4cb+XsoGAAAAyNyMMerZzcjngid7IyOlEaOsrKW+DgAALo/hIAAAkKZ9+720dp0ba9ZUKl2KwSAAAAAgrcqRw6hje/eeff9+afrnXkoIAAAAQAKnz1gtXOzGGjU0yhZI/R0AAADwlptvNnr0ETe2+nfpp5+9kw8AAEg/GA4CAABp1qlTVmPHuTuf5AuR2rWmMQkAAACkdXUflMrd7sY+/cxq3352NwQAAADSgvkLpLCw+GMfj/RIc+rvAAAAgLc9/5xR3rxubPRYq9BQ6usAAODSGA4CAABp1rgPrE6ecmPduxoFsmshAAAAkOYZY9Sjm5HPBRXIiIjYBiYAAAAA74qKspr9lXtvXqumlD8f9XcAAADA2wIDjV7s7N6bHzkqTfmE+joAALg0hoMAAECatG691cJFbqzGvdK999CYBAAAANKLW4obNWvqxlb8Ki3/lQYmAAAA4E0/L5MOH3Zjjz5C/R0AAABIK+6rKVWu5MZmfSHt+Jv6OgAASBzDQQAAIM0JD7caMtwtZgQGSt1fpDEJAAAApDetWxnlDnZjo8ZYhYfTwAQAAAC8ZdYX7v142TLSbWWpwQMAAABphTFG3bsa+fnFx6JjpMFDraKjqa8DAICEGA4CAABpzrTpVnv2uLEX2hiFhNCYBAAAANKb7NmNOnVw7+UPHIi97wcAAACQ+jb/afXnFjf2GG8NAgAAANKcG4oaPf2UG9v6lzRnrnfyAQAAaRvDQQAAIE3Ztdvq08/cWJnSUpOHvZMPAAAAgOv3YB2pfDk39tl0ad8+BoQAAACA1PbZDPc+PF8+qWYNLyUDAAAA4LJatjC6oagb+3Ci1aHD1NcBAICL4SAAAJBmxMRYDRlmFRUVH/PxSH16Gfn4sGshAAAAkF4ZY9Sjm5HPBdXIiEhpxGgra2lgAgAAAKll126rZcvd2CPNjHx9qcEDAAAAaVGWLEa9e7r36+fPS8NHUl8HAAAuhoMAAECasWChtGGjG3v8cemW4jQlAQAAgPSu+M1GzZu5sZWrpB9+8ko6AAAAQKY0/aK3BmXPLj3cyEvJAAAAAEiSCncYNWrgxlb8Kv38i3fyAQAAaRPDQQAAIE04etRq3PtuU7JgQen5ZxkMAgAAADKK1q2M8uRxY6PHWJ05w+6GAAAAQEo7dNjquyVurFkTKVs26vAAAABAWtehvVHuYDc2YrTV2bPU1wEAQCyGgwAAgNdZazV0hNXZc268V3ejgACakgAAAEBGkS2bUbcu7j3+sePSh5NoXgIAAAApbdYXVlFR8cdZskiPNqcGDwAAAKQHQTmMXux8UX39mPTBROrrAAAgFsNBAADA65b+IC1f4cYeelCqWoWmJAAAAJDR1KopVa/mxubOkzb/SQMTAAAASCmnTlnN+8aNNawvBQdThwcAAADSi9r3S9WqurGv50obN1FfBwAADAcBAAAvO3HSauRot0gRHCy92ImGJAAAAJARGWPUvatRQEB8zFpp8FCrqCgamAAAAEBK+Opr6XxY/LGPR3ricerwAAAAQHpijFHPbm59XZIGD7OKjKS+DgBAZsdwEAAA8KqRo61OnnJjPboa5cxJUxIAAADIqAoWNHr+Ofee/59/pc9neSkhAAAAIAM7f95q9pfug4K175cKFaQODwAAAKQ3BQsatXnevZfftUv6bIZ38gEAAGkHw0EAAMBrli23WvqDG6tVQ7qvFg1JAAAAIKN77BHpluJubMonVvv2s7shAAAAkJzmL5ROnXZjLZ6iDg8AAACkV480k0qWdGNTP7X6bw/1dQAAMjOGgwAAgFecOWM1dIRblMiRQ+relYYkAAAAkBn4+hr16WVkLlgChIdLw0ZYWUsDEwAAAEgOUVFWM2a699fVq0nFb6YWDwAAAKRXvr5GfXoaeS54AjgiUhoyjPo6AACZGcNBAADAK8a+b3XsmBt7sbNRnjw0JAEAAIDMokxpo2ZN3Njq35XgDaMAAAAArs33S6XDh90Ybw0CAAAA0r9Stxo9+ogbW/+HtHCxV9IBAABpAMNBAAAg1a3+3WrBQjdWrapU90Hv5AMAAADAe9q1Mcqb142NHmt1+gy7GwIAAADXIybG6rMZ7n317bdJ5csxHAQAAABkBK2fM8qf342NHW914gT1dQAAMiOGgwAAQKoKDbUaPNQtQgQGSr17GhlDQxIAAADIbLJlM+r+orsWOH5C+nACzUsAAADgevz8i7Rrlxt7mrcGAQAAABlGYKBRr+7uPf6ZM9KYcdTXAQDIjBgOAgAAqerDiVYHD7mxji8Y5c9HQxIAAADIrGrcK91d3Y3N/UbauIkGJgAAAHAtYmKsPv7UvZ+++SbprmpeSggAAABAirirmlHt+9zYd0ukVauprwMAkNkwHAQAAFLNho1WX85xY3eUlxo38k4+AAAAANIGY4y6dzXKGuDGBw+LUUQkDUwAAADgai1bIe3c6caefcbI42GjLgAAACCjebGzUfbsbmzocKvz56mvAwCQmTAcBAAAUkV4uNU7g92ig7+/9HJvmpEAAAAApAL5jdq0dtcG//4rfTI1zEsZAQAAAOmTtVYff+LW44sVk+6r6Z18AAAAAKSsPHmMOrZ36+sHDkpTPmE4CACAzIThIAAAkComTLLau9eNtW1tVKQIg0EAAAAAYjVvKpUs4cbe/zBU/+2J9k5CAAAAQDq0fIW042839lxLNuoCAAAAMrKG9aXy5dzYzFnSjh0MCAEAkFkwHAQAAFLc+j+sZs12Y2VKS482904+AAAAANImX1+jPj2NPBdULcPDpYGDzslaGpgAAADAlVhrE+wOfuMN0n21vJIOAAAAgFTi8Rj17mnk5xcfi46R3htqFR1NfR0AgMyA4SAAAJCiQkOt3n7X6sLn+LL4Sa+8ZOTjwy6FAAAAAFylShk1a+rGfl0Zqe+X0LwEAAAArmTFb9L2HW7s2ZbU4wEAAIDMoNiNRi1buPf+f22TvpzjpYQAAECqYjgIAACkqLHvWx046MbatTW6qRiNSAAAAACJa9faKCSvGxs11urUKQaEAAAAgEux1mrKx+49c9GiUu37vZQQAAAAgFT39FOxbw+90MRJVgcPUl8HACCjYzgIAACkmJWrrOZ948bKl5Mebe6dfAAAAACkD4GBRt27uhsKnDwpjRlP8xIAAAC4lJWrpG3b3RhvDQIAAAAylyxZjHr3dNcA58Ok94ZaWUuNHQCAjIzhIAAAkCJOn7F6d4hbVMgaIL36Eo1IAAAAAFdW416je+9xY4u/lX5bRfMSAAAAuJi1VpM/ce+VixSWHuCtQQAAAECmc0d5o0YN3djva6QFi7yTDwAASB0MBwEAgBQxcpTV0aNurFMHo8KFGQwCAAAAkDQ9u3mUPbu7hhgyzOrcOQaEAAAAgAutWi1t3erGnm1p5OtLTR4AAADIjDq1NwrJ68bGjrM6coT6OgAAGRXDQQAAINn99LPVd0vcWJXK0sONvZMPAAAAgPQpJMSod89AJ3b4sPTBRJqXAAAAwP9Ya/XRFPceuXAhqc4DXkoIAAAAgNdlz27Uu6e7WcDZc9KQ4VbWUmMHACAjYjgIAAAkq6PHrIYOd4sI2bNJL/c2MoYdCgEAAABcneZN/VW1iq8Tm/O19McGmpcAAACAJP2yTNr6lxt7hrcGAQAAAJle9buMHnrQjf36m/Td99TXAQDIiBgOAgAAySYmxurtd61OnnLj3boa5ctHExIAAADA1TPGaMAb2RUQ4MbfHWIVHk4DEwAAAJlbVJTVhEnufXGRItJDdbyUEAAAAIA0pWtno9zBbmzEaKsjR2O8kxAAAEgxDAcBAIBkM2u2tPp3N1bjXpqQAAAAAK5P0SI+atfG3XBg717poykMBwEAACBzW/ydtPs/N9a2NW8NAgAAABArKMioZw93fXDmjDTo7XOylho7AAAZCcNBAAAgWezYYfXhRLdokDev9FIvI2NoQgIAAAC4Po80Mypbxo19Pkv66y+alwAAAMicwsOtJl80MF+ypHRfTS8lBAAAACBNqnmvUe373NiSpRH67vsI7yQEAABSBMNBAADguoWFWfUfaBUZGR8zRur7ilHOnAwGAQAAALh+Pj5GL/cx8vOLj8XESO8MtoqMZEAIAAAAmc+cudLhI26sfVsjj4e6PAAAAABXt65GuXK6sYFvn9Px49TXAQDIKBgOAgAA123seKvd/7mxJx+XKt1JAxIAAABA8rmpmNGzLd11xs5/pGnTvZQQAAAA4CVnz1p9Os19iK9iBalyJS8lBAAAACBNC85l1L2rW18/ccLq3SExspYBIQAAMgKGgwAAwHVZttzq63lurGRJqW1rBoMAAAAAJL+nn5KKF3djn3xq9c8/NC8BAACQeXw+y+rUaTf2QlsjY6jNAwAAAEjc/fdJNWu4sRW/SgsWeicfAACQvBgOAgAA1+zoUat3B7sP4AUESP37Gvn50YAEAAAAkPx8fY1e6WPkc0FlMypKemeIVXQ0A0IAAADI+I4ft5o5y43VuFcqW4a6PAAAAIBLM8aoVw+j3Lnd+KixVvv2U18HACC9YzgIAABck+hoq4FvJ9yZsGtnoxtuoAEJAAAAIOWUutXoicfd2Nat0qzZ3skHAAAASE1Tp1mdD4s/9nikdm2oywMAAAC4suBcRi/3dh8dPn9eeusdNuACACC9YzgIAABck08+ldauc2O1akgNG3gnHwAAAACZy/PPGRUp4sYmTrLatZvmJQAAADKu/Qesvp7nxurVlYrdyHAQAAAAgKS5u7pR82b+TmzjJunzWZf4AAAASBcYDgIAAFdt7TqrKZ+4D9zlC5H69DIyhgYkAAAAgJTn72/0Sh93/RERGbu7YVQUA0IAAADImD6YYBUVFX+cxU9q9Sx1eQAAAABX56Ve2VSksPsI8aTJVn/vpL4OAEB6xXAQAAC4KseOWQ0YaGUvqAX4eKT+/YyCgmhAAgAAAEg95csZPdrcjW39S/pshnfyAQAAAFLSho1WP/zoxpo2kQrkpzYPAAAA4Opky2b09qDsunAP4MhIaeBbVhERDAgBAJAeMRwEAACSLDra6s23rI6fcOPt2hqVu53mIwAAAIDU90Jbo6JF3diUT6x27KB5CQAAgIwjJsZq9Fj3HjdHDunZltTmAQAAAFybOyv6qcWT7ppi5z/SpCnU1wEASI8YDgIAAEk2dZq0dp0bu6ua9OTj3skHAAAAAAICjF572chzQaUzKkoa9C67GwIAACDj+PY7adt2N9a6lVFQEMNBAAAAAK5d61ZGxYu7sRmfx765FAAApC8MBwEAgCRZu85q8sfuwj9fiP7/ITyajwAAAAC857ayRi2edGM7d0pTptK8BAAAQPoXGmr1wUT33vbGG6Qmjb2UEAAAAIAMI0sWo9dfNfLzi49ZKw16xyo0lBo7AADpCcNBAADgio4ds3pzkJW9YM3v45H69zPKlYvBIAAAAADe1+rZhLsbfjZd+nMLzUsAAACkb5/NsDp2zI117mTk60t9HgAAAMD1u6W4UZvn3fXFgQPS6LHU1wEASE8YDgIAAJcVFWXVb4DVseNuvG0bo3K303gEAAAAkDZkyWLU9xUjX9/4WEyM9NY7VuHhNDABAACQPh08aDVjphurWkW6qyr1eQAAAADJ54nHpPLl3Nj8hdKy5dTXAQBILxgOAgAAlzXufasNG91YtarSU094Jx8AAAAAuJQStxi1etZ9SPK/PdL7H9K8BAAAQPr0/gSriIj4Yx+P1Lkjg0EAAAAAkpePj9FrrxhlzerG3x1sdeQINXYAANIDhoMAAMAlffud1RdfurH8+aW+rxh5PDQfAQAAAKQ9LZ6USpdyY7O/klauonkJAACA9GXTZqulP7ixJg9LNxWjPg8AAAAg+RUqaNS1s7veOHVaGvSOVUwMNXYAANI6hoMAAECiduywGjzMXdhn8ZPeetMoVy4ajwAAAADSJl9fo76vGPn7u/F33rM6cZLmJQAAANKHmBir0WPd+9fs2aXnn6M+DwAAACDlNKgv1azhxtauk2bM9E4+AAAg6RgOAgAACZw+bfVqP6vwcDfeq4dRqVtpPAIAAABI22680ahTB3ftcuy4NHiolbUMCAEAACDtm79Q2vqXG3v+WaOcOanRAwAAAEg5xhi91MsoX4gbnzDJautf1NcBAEjLGA4CAACO6Gir/gOtDhxw402bSPXr0XQEAAAAkD40fVi6q5obW7Zcmr/AO/kAAAAASXXipNX7H7oP3RUtGlunBwAAAICUFhRk9PprRuaCx4Sio6UBA61CQxkQAgAgrWI4CAAAOCZNsVr9uxu7raz0YicGgwAAAACkH8YYvdLHKFcuNz5qrNWevTQvAQAAkHa9/4HVmTNurPuLRn5+1OkBAAAApI4Kdxi1bOHG9u6TRo6mvg4AQFrFcBAAAIjz3RKrT6e5sTy5pUEDaDoCAAAASH9y5zZ6uY+7lgkLk958yyoqigYmAAAA0p4/NlgtXOzGat8nValMjR4AAABA6nr+OaMypd3YwsXSkqXU1wEASIsYDgIAAJKkTZut3nnPXbz7+Ehv9jfKm5emIwAAAID06Z7qRg83cmNbt0qffErzEgAAAGlLZKTV0BHufWpgoNSlEzV6AAAAAKnP19fojdeNAgPd+JDhVvv2UWMHACCtYTgIAABo/wGrV/paRUa68Rc7G5UvR9MRAAAAQPrWuaNRkSJu7JNPpQ0baV4CAAAg7Zj5hbRrlxtr14YNvAAAAAB4T+FCRr26u2uSc+ek1/tbhYdTYwcAIC1hOAgAgEzu7FmrPq9YnTzpxps1kZo3peEIAAAAIP3LmtXojb5GPj7xsZgYacBAq1OnaF4CAADA+w4etPp4qntvWrKk1PRhLyUEAAAAAP/vwTpGD9VxY9t3SKPGUl8HACAtYTgIAIBMLCrKqt8Am2AnwqpVYt8aBAAAAAAZRelSRq1bueucw0ekdwZbWUsDEwAAAN41coxVWFj8sTFS7x5GPj7U6gEAAAB4X8/uRjfe4MbmfSMt/o76OgAAaQXDQQAAZFLWWo0cY7X6dzd+UzFpQD8jX18ajgAAAAAylhZPSndWdGPLV0hfzvFOPgAAAIAkLVtutXyFG2vycOyAOwAAAACkBYGBRgMHGAUEuPGhw63++YcBIQAA0gKGgwAAyKS+mC19PdeNBQdLg98xyp6dhiMAAACAjMfHx+j114xy5XLj49632rad5iUAAABS39mzViNGufeiuYOldq2p0wMAAABIW26+yahPT3etEhYm9X3DKjSUGjsAAN7GcBAAAJnQjz9ZjRnvLsqz+EnvDDIqWJCGIwAAAICMK28eo76vuOueyEjpjTdpXgIAACD1jR1vdfiIG+vcyShHDmr1AAAAANKeB+sYPdzIjf23R3pvqJW11NgBAPAmhoMAAMhkNmy0GviW1cXr8VdfNrqtLM1GAAAAABlftapGTz3hxvbulYaNpHEJAACA1LNyldX8hW6sciWpTm3v5AMAAAAASfFiZ6OSJd3Y0h+kr+Z4Jx8AABCL4SAAADKRf3dZvfSqVUSkG2/zvNEDtRkMAgAAAJB5tG1tVLq0G/v2O2nRYgaEAAAAkPLOnrUaPNS99wwMlF7qbWQM9XoAAAAAaZe/v9GgAUbZs7vx0eOsNmykxg4AgLcwHAQAQCZx5IhVzz5WZ8+68YcbSc+29E5OAAAAAOAtfn5G/V83ypbNjQ8dYbVjB81LAAAApKyx460OH3FjnTsaFcjPYBAAAACAtK9QQaO+r7jrl+ho6bV+VgcPUWMHAMAbGA4CACATOHvWqtfLVocPu/G7q0vdu7ILIQAAAIDMqXAho5d6u+uh8HDp1X5Wp0/TvAQAAEDKWLXaav5CN1bpTqlRA+/kAwAAAADX4p67jVq2cGMnT0qv9rUKC6PGDgBAamM4CACADC4y0uq1flY7d7rxMqWlAf2MfH0ZDAIAAACQed1fy6jJw27swAGp/0Cr6GialwAAAEheZ89avTfEvc8MDJRe7s1GXgAAAADSnzbPG1Wr6sa275DeGWxlLTV2AABSE8NBAABkYFFRVgMGWa1d58aLFJEGv2MUEECjEQAAAAC6djYqW8aNrf5d+mgKjUsAAAAkr3HvWx0+4sY6dTAqUIB6PQAAAID0x8fH6I2+RkWLuvGlP0jTP/dOTgAAZFYMBwEAkEHFxMTuPvjTz248OFgaNtgoVy4ajQAAAAAgSX5+Rm+9aZQ72I1PnSb9sowBIQAAACSPVautvlngxirdKTVu6J18AAAAACA55Mhh9O4go2zZ3PgHE6x+W0mNHQCA1MJwEAAAGZC1ViNGWy361o1nDZCGvGtUuBCDQQAAAABwobx5jQYOMPLxceOD3rHavZvmJQAAAK7PiZNWb7/r3ldmzSq91MvIGGr2AAAAANK3G2806vea0YXLG2ulAQOt/vuPGjsAAKmB4SAAADIYa60+mGA152s3niWL9N47RqVupckIAAAAAIkpX86oSyd3zRQaKr36utW5czQvAQAAcG2stXrnPatjx914p/ZGBQtSswcAAACQMdxd3ahta3eNc/ac1OcVq5MnqbEDAJDSGA4CACCDmTpN+myGG/PxkQYNMKpYgSYjAAAAAFxO86bSQw+6sd3/SW+9a2UtzUsAAABcvTlzpV9/c2PVqkoPN/ZOPgAAAACQUlq2kO6r5cb27ovdhCsigho7AAApieEgAAAykFmzrSZ+5C6kPR7pjdeNqt/FYBAAAAAAXIkxRn16GpW4xY3/skyaNt07OQEAACD9+udfq7Hj3bp9cLD02stGxlC3BwAAAJCxGGP06ktGJUu48Y2bpHcGswkXAAApieEgAAAyiNlfWY0em3AB/XJvo/tr0WAEAAAAgKTy9zd6e6BRUJAbnzDJatVqGpcAAABImvBwqwEDrSIi3PirLxsFB1O3BwAAAJAxZc1q9N7bRiF53fj3S6TJH1NjBwAgpTAcBABABjDzC6uRoxMunru/aFS/Hg1GAAAAALhaBQsaDehn5Lmggmqt1H+g1b59NC8BAABwZR9MsNr5jxt7pLl0V1Xq9gAAAAAytpAQo8HvGmXN6sanfCIt/o4aOwAAKYHhIAAA0rnpn1uNGZdw0fxCW6PmzWgwAgAAAMC1qlzJqG1rd1115ozU5xWrM2doXgIAAODSVq6y+uJLN1b8ZqlDO+r2AAAAADKHErcYvfmGuwmXJL072OqPDdTYAQBIbgwHAQCQjk2dZjX+g4SL5XZtjFq2oMEIAAAAANfr6aekWjXc2O7/pL5vWEVF0bwEAABAQseOWb39rnuvmMVPeqOvkb8/tXsAAAAAmcdd1Yy6dnHXQVFR0it9rf7dRY0dAIDkxHAQAADp1JRPrCZMSrhI7vCC0TNP01wEAAAAgORgjNGrLxsVv9mNr10nDR9lZS3NSwAAAMSLirLqN8Dq+Ak33qmj0c03U7sHAAAAkPk0b2r02CNu7MwZqUcvq4MHqbEDAJBcGA4CACCdsdZqwqQYfTQl4eK4SyejFk/SXAQAAACA5BQYaPTeO0a5g934vG+kmV94JycAAACkTePet9qw0Y1Vv0tq1sQr6QAAAABAmtCpg9E9d7uxI0el7r2tTpxkQAgAgOTAcBAAAOlITIzViFFWU6clPNftRaPHH2UwCAAAAABSQoH8Ru++bZQlixsf977V8hU0LgEAACB9v9Tqiy/dWP780qsvGRlD/R4AAABA5uXjY/RGX6OyZdz4nj1Srz5W585RZwcA4HoxHAQAQDoRGWn1at+z+nJOwsVwz+5GjzSjsQgAAAAAKalMaaPXX3XXXtZKAwZabd9B4xIAACAz2/mP1XtD3HvCLH7SW28a5cpF/R4AAAAAsmY1GvKu0U3F3Pi27dIrfa3Cw6mzAwBwPRgOAgAgHQgPt+rW84y+WRDhxI2RXupl1PRhGosAAAAAkBruq2XUro27BjsfJvV5xergIRqXAAAAmdGZM1av9rUKC3PjPboblbqV+j0AAAAA/E9QkNHwIUYFC7jxdeul/gOtoqKoswMAcK0YDgIAII07d86qZ58Y/fRzpBP39ZX6v27UqCGNRQAAAABITS1bSPUecmNHj0o9e1udOkXjEgAAIDOJibEa+LbVvv1uvHEjqWF96vcAAAAAcLGQEKPhQ42Cg934suXS4KFWMTHU2QEAuBYMBwEAkIadOGn1Yner9X+4cX9/6d23jGrfT2MRAAAAAFKbMUa9exqVL+fGd/8n9X7Z6vx5GpcAAACZxdRp0q+/ubHSpaVuXajfAwAAAMClFC1iNGywUbZsbnzhYmnkaCtrqbMDAHC1GA4CACCN2rfPqkMnq23b3Xj27NLwIUbVqtJYBAAAAABvyZLF6J1BRsVudONbtkr9BlhFRdG4BAAAyOh++tlq0mT3vi9XLmnQAKMsWajhAwAAAMDllCxh9N7bRlmyuPGvvpbGf8CAEAAAV4vhIAAA0qAtW61e6GS1d58bzx1sNGakR+XL0VQEAAAAAG8LCjIaNsQoX4gb/22l9O4QGpcAAAAZ2V9/WQ18273f83ikAf2M8uejhg8AAAAASXFHeaOB/Y18fNz4jJnShI+oswMAcDUYDgIAII1ZvsKqSzerkyfdeMGCHn36cU6VLEFTEQAAAADSivz5YgeEcuRw44u/ld6fQNMSAAAgIzpyxOrlvlbh4W68wwtGd1akhg8AAAAAV+Pu6kZvvG7kueiJ5k+nSePeZ0AIAICkYjgIAIA0ZM5cq1dfT9hQvOUWafrUnCpWzCfxDwIAAAAAvOamYkZD3jXy93fj02dI0z+naQkAAJCRnD9v9dKrVkePuvFGDaQnHvNOTgAAAACQ3t1fy+jVl43MRfstfD5LGj7KKiaGWjsAAFfCcBAAAGlATIzVBxNiNGyEVUyMe65yJWn8aI/y5eOvbQAAAABIq24ra/TmG0Y+Fy3dxn9g9eUcmpYAAAAZQUyM1ZtvWW3f4cYrVpB6dDMyFz/FBgAAAABIsroPGr3UK+GA0JyvpfeGWkVHU2sHAOByeMoYAAAvO3/e6vX+VtOmJzxX7yFpyLtG2bLRUAQAAACAtO7u6kYv9U64fhsxymr+ApqWAAAA6d2ESVbLlruxIkWkQQOM/Pyo4wMAAADA9WrYwKjvK0aei55uXrBQGvi2VVQUtXYAAC7F19sJAACQmR08ZPXyq1Z/70x4rtWz0vPPsdMgAAAAAKQn9esZnTwV+8agC7031MrXL3bnQwAAAKQ/8xck3OQrRw5p8DtGQUHc4wEAAABAcnnoQSO/LNKAgVbR0fHxJUuliAirAf3EBg0AACSCNwcBAOAlmzZbtW2fcDDIxyO93NuodSsPg0EAAAAAkA499YRRm+fd9Zy10tvvWi39kV0NAQAA0puff7EaPMy9j/Pxkd560+iGotTxAQAAACC53V/L6K2BRn5+bvyXZVKfV6xCQ6m1AwBwMYaDAADwgkXfWr3Y3erECTeePbs0dLBRwwY0EwEAAAAgPXvuGaNnnnZjMTHSmwOtfllG0xIAACC9WLvOqv9Aq5gYN96ru1HFCtTyAQAAACCl3FPd6L23jfz93fjva6SuPaxOnqTWDgDAhXy9nQAAAN52+vRp/fPPP9q7d69OnTqliIgI5ciRQ7ly5VKpUqVUpEiRZPut6GirDydaTf884bkbikrvvWNUtEjCZmJ0dLS2b9+uv/76S/v371doaKgCAgIUFBSk4sWL65ZbbpGvL3+tAwAAAMClnDp1Srt379ahQ4d0/PhxhYWFSZKyZcum3Llz69Zbb1XhwoWT9TfbtjaKiLD6fFZ8LDpG6jfAatCbsY1NAAAApF1b/7J6+TWryEg33rKF1Kjh1d/LRUVFafPmzdq7d69OnjwpY4xCQkJUuHBhlSlTRsZwfwgAAAAAF6pS2Wjoe7FvCzp/Pj6+9S+pYxeroYOlQgVTZy31zz//aPv27Tp58qQiIiKUJ08e5cuXT+XKlZP/xRNMAAB4AU8RAwDSpH379mnLli3666+/tGXLFm3btk2hoaFx5wsUKKCvv/76mr47KipKa9as0fLly7Vu3Tr9888/l70+JCREjRo1UvPmzZUnT55r+k1JOn3GasBAq1WrE56rUlka0M8oRw53sXrw4EHNmDFDixYt0unTpy/53VmzZlWdOnX05JNP6qabbrrmHAEAAAAgNZ04cUJbt27V1q1b49aAx44dc65ZunTpNW3aEBoaqtmzZ2vTpk3aunWrjh49esXP5MuXT/Xq1dNjjz12Xeu//zHGqFMHKTLS6ss58fHIiAPq1aP5dX////Tt21cNGzZMtu8DAABIDX379tWSJUuc2PXU/pOiSZMmOnjw4HV/z5SPpEMH6qtfv35Juv7AgQOaMmWKlixZ4vQ6LhQSEqK6devqueeeU7Zs2a47RwAAAAC4WmvXrlWnTp2u+fMptaarcIfR6BFSx04Tdf7c5Lj4PzukZk2T/j316yd9Hfc/586d06xZs/TVV1/pyJEjiV4TGBioGjVqqE2bNsm6CTUAAFeL4SAAQJqxdu1aTZ06VVu3br3sIMz12Lx5s3r06HFV33/kyBFNnjxZX3zxhXr06KF69epd9e/+u8vqldes9u5LeO6xR6SO7Y18fd3BoHnz5mnkyJGXbBRe6Pz585o3b54WLVqktm3b6plnnrnqHAEAAAAgNRw5ckQjRozQli1bkuXBzEs5duyYxo8ff1WfOXz4sD755BN9+eWX6tatW7IM3Bhj1LWLFBFp9c386/66RLEjIQAASG9++eWXBINB6U1S78Hmzp2roUOHKvLi1w9d5MiRI/r000/1/fff64033lCFChWSI00AAAAAyBBKlzJqUM9o9uzU+83Nmzfr5ZdfvuLmY6GhoVq8eLF++ukndenSRc2bJ9/mYAAAXA2GgwAAacaOHTu0atWqFP2NkydPJjoY5Ofnp+LFiytPnjzKli2bTp8+ra1bt+rUqVNx15w5c0YDBgzQiRMn9NRTTyX5N5evsHrzLauLZ3x8faWe3YwaNUz4attZs2Zp+PDhCeIhISEqWbKksmfPrnPnzunvv/92HqaLjIzU+PHjFRYWpnbt2iU5RwAAAABILSdOnNAPP/zgld8OCgpS0aJFlSdPHmXNmlWRkZE6duyYduzY4WzMcPbsWQ0aNEinTp1SixYtrvt3PR6j3j2kmBirBQuv++scAQEBql69evJ+KQAAQAo6c+aMhgwZ4u00rtt99913xWsmT56sCRMmJIiXKFEibjfpvXv3aseOHXHnDh48qO7du2vcuHEqW7Zs8iUMAAAAAOlczpyp91urV69Wr169FBER4cQLFCigW265RVmzZtXhw4f1559/KioqSpIUFhamIUOGyFqrRx55JPWSBQDg/zEcBABI87JkyaJ8+fJp7969yfq9gYGBql27th588EHdfvvtCggIcM5ba/Xzzz9r5MiRzgDO6NGjVbx4cVWtWvWy3x8TYzV1mjRpsk1wLjhYeutNo3K3JxwM+vfffzV69GgnVqBAAQ0YMEA1a9bUqVOnZG38d65bt06DBw/Wrl274mJTpkxRtWrVVK5cucvmCAAAAABphcfjUdGiRbV79+5k+87g4GDdfffdqlKlim6//XYVLFgw0euioqL0yy+/aPz48c7ac9y4cSpfvrxuu+22687F4zF6qZfk52c15+sQ+WT50jnftrXRg3Wu/D39+/fXxo0b447vv/9+ZcuW7brzAwAASC2jR4/WkSNHJMXW6UMv3lkrBU2YMCHuoa3EnD4tvfGm1cXtiOBcs3X08Iy444IFC6py5cqX/a1ffvlFEydOdGKVK1dW7969dcMNNzjx3bt3a8iQIVqzZo2k2AfKevXqpWnTpilPnjxJ+aMBAAAAQLJ7/PHH9fjjjyf5el/f1H0k2eM3QMa49fsaNaT2bY38/BJeHxgYmKTv3b9/v/r27esMBhUpUkS9e/dO8LzY6dOnNWHCBM2+4JVGw4cPV9GiRa/4bBkAAMmN4SAAQJri6+urm2++WaVKlVKZMmVUqlQp3XLLLdqwYYM6deqULL8RHBysp59+Ws2aNVPWrFkveZ0xRrVq1VKFChX0wgsvOMM3w4cP1+effy5jEg73SFJoqNXb71r99EvCc7eWlN4eZJQ/X+Kf/fTTT53mZHBwsCZMmKBbb7010esrVqyoCRMmqHXr1tqzZ4+k2MGmyZMna+TIkZf88wEAAACANxUpUkSlSpVS6dKlVbp0aZUqVUqBgYGqVq1asnx/oUKFtGDBAnk8nite6+vrq/vvv1+VKlVShw4dtHPnTklSTEyMJk2alGxrK4/HqGc3KYufr2bNdgeVJk2RsgYaPf5o4mtFSXG7EF6ocePGyZIbAABAali9erW++eYbSZKPj4/atWuXqnXsfPnyXfLcyZNWr/S12rdfMhfcQhYrJoWf+9W5tlGjRpfsD0ixw+fDhw93NvqqWbOm3nrrrUQflrvxxhs1cuRIvfLKK1q2bJmk2DduTpo0SS+99FIS/3QAAAAAkLyyZ8+uQoUKeTuNS6pxTx4t/82ttS9bLp08KQ0aYJQnz6XXbZfz/vvv6/Tp03HHRYoU0YQJE5Q7d+4E1wYFBalXr17Knz+/xo0bJym2tzBy5EhNmzZNPj4+15QDAADX4sqdcQAAUkn9+vW1dOlSTZ06Va+++qqaNGmiUqVKJeuuEmXLltVXX32lFi1aXHYw6EI5c+bUwIEDnQfKdu/era1btyZ6/b79Vh06Jz4Y9FAdafyYSw8GSdLy5cud4+eee0758+e/bI5BQUHq0KGDE1u7dq3Onz9/2c8BAAAAQGq78cYb9d1332n27NkaNGiQWrRooYoVKyZ5x76k8vHxSdJg0IWCgoLUvXt3J/b777/r3LlzyZaXMUZdOhm1bJHw3JhxVh9MiHEeIr3QggULFB0dHXdctGhR3XHHHcmWGwAAQEo6f/683nnnnbjjJ598UiVKlPBiRvFOnbLq1tNq5z9uvFAhqW2rjdqzJ/7tlh6PRw0aNLjs9y1evFgHDx6MOw4ODtZrr7122X6Hr6+v+vbtq5w5c8bF5s2bp//+++8q/zQAAAAAkDk8+ohR1y5GF7cCNm2Wnm9ntWlz4rX2y9m3b5+WLl3qxPr27ZvoYNCFWrZsqTvvvDPu+N9//9XChQuv+vcBALgeDAcBANKMoKAg+fv7p+hvBAcHJ3ko6EIlSpRQ+fLlndjatWsTXLdqtVXb9gkbiB6P1KmDUd9Xjfz9Lz0YdPbsWWfnCUm65557kpRj9erVnd0mIiMjneYjAAAAAKQF/v7+CgoK8nYal1SxYkVnbRodHZ3saytjjNq1MWrdKuH6cNp0adA7VpGRbtPSWqsFCxY4sUaNGiVrXgAAAClp/PjxOnDggCSpcOHCatOmjZczinX6tFX3XlZ/73TjBQtIo0cYLV/u3oNVqVLliht6XbwJWKNGjZJ0D5wzZ041bNgw7jg6OlqLFi264ucAAAAAILN6tLnRO4OMsga48WPHpC7drL762l5yQ67ErFixQjExMXHHt912W5I36WrRwt0VbP78+Un+XQAAkgPDQQAAJFHJkiWd46NHj8b9c3S01aTJMer1ktVFsz3Knl0a+p7Rk48bGXP519Um9qaffPnyJSm/gIAA5cqVy4mdOXMmSZ8FAAAAAMTyeDzKkSOHEwsNDU323zHGqNWzRh1eSLhO/PY7qffLVufOxTcs161bp71798Yd+/j4XHHHegAAgLRi48aN+vLLL+OOX3rpJQUEBFzmE6nj9JnYwaDtO9x4/vyxg0FBOc4n2DG6cePGV/zeP/74wzmuWrVqknO66667nOMffvghyZ8FAAAAgMzo7upG48cYFbhoH4eoKGn4SKu33rUKD0/agND1rOcqVaokPz+/uONNmzY5z5cBAJDSGA4CACCJLnwrjxT7Zh5JOn7cqkdvq4+nShdvNFGsmDTpA6MqlS8/FPQ/OXPmTPA7ERERSc7x4mvT8m7cAAAAAJAWhYWF6cSJE04sb968KfZ7LZ40erm3kc9Fldo1a6XOXa2OHotdaH7zzTfO+bvvvlt58uRJsbwAAACSS0REhN566624nZfr16+vKlWqeDkr6dQpqx69rLZtd+P58sUOBhUsaLRkyRJnUDw4OFg1atS47PdGRETo5MmTTqx48eJJzuvia3fv3q19+/Yl+fMAAAAAkBmVKGE06UOjSncmPLf4W6lDZ6v9B648IHT48GHn+GrWc1myZFGRIkXijmNiYvTbb78l+fMAAFwvhoMAAEiiC3dolmIfDvtjg1WrtlZr1yW8/t57pAnjjYoUSdpgkBS7SCxTpowT++uvv5L02X379jlvCsqWLZuKFi2a5N8GAAAAAEjfffedoqOj444LFSqkggULpuhvNmxg9M5bRhdvnr/jb6l9R6stW8/oxx9/dM41atQoRXMCAABILpMmTdLu3bslxQ7XdO3a1csZSUePWXXpZvXXNjceklcaM8KocKHYuv7FA9p169aVr6/vZb/79OnTCWLZs2dPcm4Xv8VSknbu3JnkzwMAAABAZpUrl9GwwUZPP5Xw3PYdUqs2Vkt/uPyA0MVruqtZzyV2Pes5AEBqunzlEgAASJLOnTun1atXO7EDB0vrxe5W/7/ZYRwfj9T+BaMnHpOMSfpg0P888sgj2rRpU9zx7NmzValSpSt+bubMmc5xvXr1EryFCAAAAABwaRs2bNCYMWOc2FNPJdJFTAHV7zIaM1Lq/bLVhRvNHzwkder8ncLDw+NiefPm1V133ZUqeQEAAFyPv/76S5999lnccbdu3ZQzZ04vZiQdOGDVrafVvv1uPE8eafRIo8KFY+v6u3btcmr1ktS4ceMrfr+fn1+CWGRk5BWHiv4nIiIiQezff/+94huLAAAAACC5rVu3Ti+99JJ27NihEydOKCYmRkFBQcqdO7duv/12VaxYUTVq1Ejyeie5ff3115oyZYp2796tU6dOydfXV0FBQSpYsKDurV5OK1dXVWTUHXHXnzsnvfGm1eo1Vt26GGXNmvC5rovXdJGRkVeV08XX//vvv1f1eQAArgfDQQAAJMGcOXMUFhYWd+zjk10Lv62oi2d/QvJKA94wKnf71Q8F/c9DDz2kJUuWaNmyZZKkH3/8UR9//LG6det2yc/MnTtXX3zxRdxxcHCwWrdufc05AAAAAEBmEBERoZMnT2rbtm1asmSJvv/+e8VcsAPEPffco+bNm6daPqVLGX0wVurZx31Y9Xyou2N9/fr1vdZsBQAASKqoqCi99dZbcW9lrFatmh566CGv5rTzH6uefayOHnXj+UKkkcONihaJr+1f/Nag2267TTfddNMVfyNHjhzyeDzOfeXRo0dVtGjRJOV49OLkpLg3LwEAAABAalq/fn2C2JEjR3TkyBFt27ZNs2fPVr58+fTMM8+oefPm17SJ8vX4/vvvneOIiAiFhobq4MGDktZL+kT+/qUUGdNBHp/KcdctWCht2mQ1oJ9UooSbc1BQkHOc2Brtco4dO+Ycs54DAKQmOsgAAFzB/v37NXnyZCcWo8fkY9ydIqpUll5/zSg41/UvdAcNGqRBgwbFLWLff/99/fbbb2revLmKFi2qbNmy6fz589qxY4cWLVqkNWvWxH02ODhYI0eOVHBw8HXnAQAAAAAZScuWLbVjx44rXmeMUfPmzdW1a9dUb2YWKWL0wTipzytWW/+SbMxOyf7lXFOvXsNUzQkAAOBaTJ06Ne7eK2vWrOrTp49X81n/h9Urr1mdPefGixSWRg4zKlAg/r4vKipKixYtcq5LyluDJMnj8aho0aLOA2CbN29O8nDQ5s2bE8TOnTuXyJUAAAAA4H2HDx/W0KFD9dtvv6l///7KkSOHt1NyhIf/JambbExLeXxfiKv5/7dHatfRqmN7qXlTyeOJjRcrVswZitq8ebMefvjhJP3WwYMHdeTIESfGeg4AkJoYDgIA4DIiIyPVt29fhYaGxgdNQXl8W8QfGql1K6OWLSQfn+R5aMzf318DBw5Uw4YNNXPmTP3+++/6448/9Mcff1zyM35+fqpbt67at2+vPHnyJEseAAAAAJCZ+Pn56eGHH1bz5s2TtCt8SgkONho9QnrrXaulS9wd62UqaNjIIho0wCpXMmxOAQAAkBL+/fdfffzxx3HH7dq1U6FChbyWz08/W705yCoi0o0Xv1kaPsQoTx73vmrFihU6fvx43HHWrFn1wAMPJPn3Klas6AwHLV68WPXq1UvSZxcuXJggxsNkAAAAAFJTtmzZVLlyZVWoUEE333yzgoOD5e/vrzNnzui///7T6tWrtXTpUoWHh8d9ZsWKFerTp49Gjx4tPz+/y3z79QsJCVH16tVVpkwZFStWTEFBQfJ4PDp16pS2bdumFStWaOXKlRd8wspGT5WPn1WMOsRFIyOlUWOsflkmvdxbKlzYqGLFipozZ07cNT/99JN69uypgICAK+aV2HrOeeYMAIAUxnAQAACX8fbbb2vLli0XRHzk49dXxmSVJAUHS2/0Nap0Z8o8kBUdHS1fX1/5+PgoMjLyktcFBASoZcuWatKkCYNBAAAAAHCNIiMjtXjxYkVGRqply5YqUqSI13LJmtXo9VcjteznbxUeHR/3+DbUHxukth2s3n1LKn4zA0IAACBtiYmJ0VtvvaWIiAhJUqlSpfTYY495LZ+vvrYaMcrKWjde7nbp3beNgnIkvJ+aN2+ec/zAAw8oMDAwyb9Zt25d52GyVatW6ddff1X16tUv+7lly5ZpzZo1CeI8TAYAAAAgNeTJk0d9+/ZVnTp15O/vn+g1ZcqUUd26ddWpUycNGjRIv/32W9y59evXa9y4cerWrVuK5Fe2bFmNGjVKVapUiXsD0MXKlSunRx99VFu3blW/fv20Z8+euHMRYZ/qhmJltf9gDecz6/+Qnnneqm1rqX7du5QjRw6dOXNGknTmzBlNnDhRXbp0uWxuhw4d0vTp0xPEo6OjFRYWlqThIgAArpfH2wkAAJBWffjhh1q0aJET8/i2l/FUkCSVLydNmZgyg0GHDx9Wp06d1KNHD/3yyy8KCwu77PVhYWGaOHGimjZtqlGjRl3xegAAAADIjIYPH66vvvoq7j/Tpk3TqFGj9MILL6hYsWKSpLNnz2ru3Ll6+umnNX/+fK/mu3z5MoWHnbogkl3Gc78k6cAB6YWOVkuW2sQ/DAAA4CUzZ87U5s2bJUk+Pj569dVX5ePjk+p5WGs1YVKMho9MOBh07z3SiKGJDwYdPXr0oh2mpUaNGl3Vb5cvX14VKlRwYv369dP69esv+Zm1a9eqf//+iZ7zeGjrAwAAAEh5xYoVU8OGDS85GHShPHnyaPjw4apdu7YT//LLL7V///4Uya969eqqWrXqJQeDLlS6dGlNmjRJN9xwgxM39n09/mh0guvDw6Wx4616vRSoOg+6G1xMnz5dM2fOvORvHT58WN26ddPZs2cTPZ+UfAEASA68OQgAgETMmDFDU6ZMcWLG5wl5fFtIklo8KbVtbeTrmzKDQS+88IIOHDgQFwsICNCjjz6qOnXqqECBAgoMDFRoaKh2796t5cuXa86cOTp9+rQiIiI0Y8YMbdiwQSNHjlRQUFCy5wcAAAAA6VVISEiC2C233KKqVauqVatW+vrrrzVixAiFh4crLCxMb731ljwej+rXr++FbKVvvvnGOQ7MVkcR0fFN2bAwqf9Aq63brDq0S5k1KgAAwNXYt2+fPvzww7jjJ598UiVLlkz1PCIirAYPs1r8bcJzDzeSenQz8vFJ/N5p4cKFio6Of1CsWLFiKleu3FXn0LdvX7Vq1UqnT5+WFDuE3qlTJ9WpU0e1a9dW0aJFZa3V3r17tWTJEn3//fey/z/FlC9fPh0+fDjuu7Jnz37Vvw8AAAAAKc0Yo9dff10bNmzQ0aNHJUmRkZGaN2+e2rdv7+XspJw5c+rNN99Uq1at4tZbu3fvVs/K61WtamW9N8Tq4CH3M1u2Stu2P6OQfL/pyOEtkmI3nxgxYoR++OEHNWrUSCVLlpS/v7+OHj2qX3/9VXPmzIl74+vF6zl/f/8kDVsBAJAc2GIIAICLfPHF1xo1arQTMz5N5eP3onLkkN5726jDC54Ue+jqjTfecAaDihQpok8//VR9+/ZV1apVlTNnTvn6+iooKEi33367OnTooM8++0xlypSJ+8yWLVv0xhtvxC1sAQAAAABX1qRJEw0cODDu2FqrIUOGOI281HLo0CGtXr3aib39VmOVKZ3w2pmzpO69rE6cYA0IAAC8x1qrd955J+7N9oULF1abNm1SPY+TJ62690p8MKh1K6NePS49GCQlHNC+2rcG/U/hwoX13nvvOZt4xcTE6Ntvv1WfPn305JNP6qmnnlKfPn303XffxdXzy5Ytq2eeecb5rhw5clxTDgAAAACQ0gICAvTYY+6bdi5+G6s3lSpVSlWrVnViK1euVOVKRlOnGDVrkvAz0dF+On7qHfllucWJb9iwQYMGDdIzzzyjxx9/XJ06ddJnn30WNxiUM2dOvfbaa85n2OwBAJCaGA4CAOACUz9dqGHDBkuKf6DK+DSQx7eXSpeSJk8wurt6yu3EvHLlSq1fvz7u2M/PT8OHD0/wituLhYSEaNiwYU6T8bffftPy5ctTLFcAAAAAyIhq1KihmjVrxh2fP39eX375ZarnsWDBAsXExMQdlyhRQtWqldbYUUaNGia8fv0fUut2Vlu2MiAEAAC8Y+7cuVqzZk3c8UsvvaSAgIBUzWH3bqsXOlpt2OjGPR6pd0+jVs8aGXPpGv8ff/yhPXv2xB37+vqqXr1615xPhQoV9NFHH6ly5cpXvNYYo+bNm2vs2LE6c+aMcy5PnjzXnAMAAAAApLRq1ao5xzt37vRSJom7OL+///5bkhQYaNSjm0fjRhsVKeJ+xpgQxZgPZXyayBjfK/7GnXfeqSlTpiRYB7OeAwCkpiv/jQUAQCYxbPh3+mLWW5LiH74yngfl8X1FjzY36tTByM8v5QaDJGnp0qXOcZ06da44GPQ/wcHBeuSRRzR58uS42Pz583Xvvfcma44AAAAAkNE9+OCD+vnnn+OOV65cqQ4dOqTa71trNX/+fCf2vx3rs2QxeqmXUelSViNGWUVGxl9z+IjUsYtVpw7SI8102QdfAQAAktvEiRPj/rl69eoqUqSI9u/ff9nPHD9+3DmOjo5O8JmQkBD5+fld8ffXrLXq+4bV2bNuPGuA9EY/o3uSsPHXvHnznON77rlHuXPnvuLnLqdo0aIaM2aMNm3apJ9++knr1q3ToUOHdObMGWXLlk358uVTlSpVVK9ePRUvXlyStGvXLuc7SpUqdV05AAAAAEBKKliwoHMcGRmps2fPppm35lyc38mTJ53j8uWMPvlI+uhjq89nSv/bt8uYrPLx6yMb87SMvlfePL8rOmqvTp8+JR8fH+XLl09lypRR3bp1VblyZRlj9PvvvzvfzXoOAJCaGA4CAGR64eFWL73yg1b+OkBSdFzceO5X9pyv65WXfHR/rdR5oOp/O1P8T1J2E7z4+guHg7Zs2ZIseQEAAABAZnLxJg179+5N1d9fs2aN81BslixZ9NBDDznXNG5odEtxqW8/q8NH4uNRUdKoMVbr1kmvvCQFBTEgBAAAUkd4eHjcP//6669q1qzZVX/HkSNHEnxu6tSpKlmy5GU/9818q6EjrKKj3Xi+EOm9t41KlLjyPdG5c+f0ww8/OLHGjRsnLfEkuP3223X77bcn6drNmzc7x2XLlk22PAAAAAAgufn7+yeIhYeHp5nhoIvzu3D9Gn+NUccXjOrcbzV8lNWmC5ZlxlNI0rM6euJZ5ckt9ehl1KCe5OubcK3Jeg4A4E0ebycAAIA37dtv9fQzv2jlr2/IHQyqoRKl+uujCb6pNhgkSWfOnHGOr3ZHwotfRXvxThcAAAAAgCvz9XX3VIq88PU8qeCbb75xjmvVqqWcOXMmuK5MaaOPJhjdUT7hdyxbIT3XxmrDRptSaQIAAHhdRITV0OExem9owsGgW0tKEz5I2mCQJH3//fcKCwuLOw4JCVHVqlWTM90k2b9/v/bt2xd3nC9fPhUtWjTV8wAAAACApErs+aTEatrecnF+l8utRAmj8WOMXn/VKE8ij20dOy4NGWb17PNWy5ZbWRtfg7fWas2aNc71FSpUuK7cAQC4GgwHAQAyrZ+XWT3z7Art2d1XUlRc3Hiqq/HDAzXxfT/dUDR1d1jOkSOHc3xhIzIpQkNDneOsWbNed04AAAAAkNkcPnzYOb7ajRuux5kzZ/Tzzz87sUaNGl3y+uBgo5HDjJ56IuG5w4elF7tZTZ1mFRPDkBAAAMhYjhyx6tLN6ut5Cc/VrCGNHWWUN0/Sa/wXD2g3bNhQPj4+15vmVbs4j8vdCwIAAABAWvDnn386x8HBwQk24fKmi/MLCQm57PXGGD30oNH0T42eeExKbGm4+z/plb5WHbtYbf4ztv6+Zs0aHThwIO6aChUq6IYbbrj+PwAAAEmUdv72BQAglURFWb0/wWrGjNWKiXxVUvwO0D6+VfTyy++oUcOEr7tNDXnz5nWOt2/frpo1ayb583/99ZdzfPGbhAAAAAAAV7Z69WrnuEiRIqn2299++63Cw8PjjgsWLKhKlSpd9jO+vkYd2xtVqGD11ttWJ0/Fn4uOkSZMslq3Xnr9VSnPVTwgCwAAcDWWLFly1Z9Zu3atOnXqFHdcoEABff3111f83Po/rPoNsDpxIuG5Fk9KL7Q18niSft/z77//Og+LGWPUsGHDJH8+uZw+fdr58/v4+Khx48apngcAAAAAXI3vvvvOOa5YsaKXMkkoPDxcP/30kxNL6tt8smUz6tzRqEF9q7HjrVatTnjNps1S+05W1atZHTvyqXOuadOm15o2AADXhDcHAQAylUOHrTp3tfr88/WKiXxJUkTcuaxZ79RHk97z2mCQlHBxvGDBAkVGRl7iape1VvPmuVsk3nHHHcmVGgAAAABkCkePHk3wQGqNGjVS7fcT2ynemKQ92HpXVaOPPzKqcEfCc2vWSs+1sfp9DW8QAgAA6Ze1Vp/PsurWI+FgkL+/9PqrRh1e8FzVYJCkBLX1O++8U4ULF77edK/a6NGjdeKCP1jTpk2VP3/+VM8DAAAAAJJq7dq1CYZv7r33Xu8kk4hPP/1UR44ciTv28fHR3XfffVXfcVMxo2GDPRo5zKhkycSvWb5iof78M356qGTJkrr//vuvKWcAAK4Vw0EAgExj5Sqr59tYbdq0SdERvSXF78QcnPsOffnlUJUqlTVZf3PixImqVq1a3H86dOhw2etr1qzpvFb34MGDGjp0qKy98sNbEyZM0JYtW5zYfffdd22JAwAAAEA6dv78eU2fPl1hYWFX9bkTJ06oR48eOnfuXFwsKChIDz744GU/t3btWmftV61atWvKe/v27dq2bVvcscfjUYMGDa7qO/LmNRo5zKh1KyPPRdXfEyekHr2txn8Yo4gIhoQAAED6cu6c1Rtvxu7WHB0TG4sKqx73n3OnqitvnnVX/b1RUVFavHixE2vUqNF15xsdHZ3ka621GjNmjObPnx8XK1CggDp27HjdeQAAAABAUqxatUo7duy4qs9s3rxZr7zyivNc04033qgHHnjgip/t0KGDU1OfOHHiZa9ftGiRjh07dlX5ff311/roo4+cWP369VWwYMErfjYqKipBrNKdRpM+MHrjdaMLvyIm+ifFRL57wZU+yp7jFW3f4XNV+QIAcL18r3wJAACp5/Dhw4kuro4fP+4cR0dHa//+/Yl+R2BgoHLlynXBtVaTP7aaOk2Kid6m6IiekkLjzufOfYNGj+6lsLAT2r//RMIvvAR/f3/lyZMnydcnRaFChdS0aVN98cUXcbG5c+fq0KFDevnll1W6dOkEn/nvv//04YcfaunSpU68UqVKqlKlSrLmBwAAAADJ4eTJkwoNDb3yhYrdNEGSTp8+7TQYfX19lS9fvkQ/ExUVpdGjR+uzzz5TnTp1VLt2bZUqVUp+fn6JXn/s2DEtXrxYU6dO1alTp5xzXbp0cdaYKeniHeurVq16TTvF+/gYtXpWuqO8NGCQ1dGj8eeslabPkFattur3mlT85qvbVR8AAMAbtm236tffal/ibYHr8ssvvzhv6wkKClKtWrWu+3t37dqlV199VY0aNVKNGjV0ww03JLgmKipK69at04cffqg///wzLp4lSxb1799fgYGB150HAAAAACTFxo0bNXnyZFWtWlUPPPCAqlevrty5cyd67aFDhzRr1izNnDnTec7L19dXvXv3djZGTi7z5s3Tu+++q9q1a6t27dqqWLGismZNfBPorVu36uOPP9bPP//sxENCQtS+ffsk/V6LFi10991367777lPZsmXl+f/duDweozq1pZr3SpM+2qmZM6cqKvI757Me3/ba+OetatfB6s6KVk8/ZVTpTskY6vEAgJTFcBAAIE1p165d3INfl3PkyBE1a9Ys0XP169dXv379JEnHjlkNGGS1bn3suZjoZZLOOtcfP/6fnn766avOtUKFCnr//fev+nNX0qlTJ23btk0bN26Mi61cuVJNmjRRkSJFdNNNNykwMFDnz5/X7t27tXv37gTfUbBgwbj/DgAAAAAgrRk9erQWLlyYpGtbtGiRaLxAgQL6+uuvL/vZY8eO6fPPP9fnn38uPz8/3XTTTcqTJ49y5Mgha63Onj2rPXv2aN++fYm+sbV9+/bJsmt8UkREROi779wG4vX+doU7jKZMkt5+1+q3le65nTulNi9YtW0tPf5o7EARAABAWmOt1VdzpLHvW0VGpsxvXPi2Hkl68MEH5e/vnyzfvXv3bo0dO1Zjx45VcHCwihcvrpw5c0qK3RRt586dOn36tPMZf39/DRo0SHfccUey5AAAAAAASWWt1cqVK7VyZWxBOSQkRDfeeKOyZ88uf3//uJr6f//9l+CzPj4+eu2111SpUqUUyy88PFwLFy7UwoUL5fF4VLRoURUsWFDZsmWTj4+PTp06pR07diTYhFqK3Qhi5MiRSd4I+uTJk5o+fbqmT5+uwMBAFS9eXHny5FGWLFl08uRJ/ffff4k+42Z8npPHN76vsXadtHadVckSUounpFo1qMcDAFIOw0EAgAxr3XqrAQOtjiVc76VpAQEBGj58uIYMGaJvv/3WObd3717t3bv3sp+vUKGC+vXrd8kdtAEAAAAgM4qMjNT27duTdG2+fPnUo0ePZNkxPql+/vln58HQ4OBg1ahR47q/NziX0XtvS7NmSx9MsLrwZb2RkdL4D6x+/U167WWpYEEakgAAIO04c8bqvSFWP/2S8Fz27NLrrxr17HF9v3H48GGtWrXKiTVu3Pj6vvQSTpw4oTVr1lz2mptuukn9+/fXrbfemiI5AAAAAMDVOHLkiI4cOXLF6woXLqx+/fqpfPnyqZBVrJiYmEtuqnyxSpUqXdezVKGhodq0adNlr8mRI4fuvqe31qx/QCdPJjy/fYf0xgCrwoWkxx6R6tWVAgOpyQMAkhfDQQCADGnqNKtJk61iYty4xyNFR3snp6uRPXt2DRgwQI0bN9YXX3yhFStWKPIy2yJ6PB5VrFhRTZo0Ue3atXkNLQAAAIBMLVu2bBoyZIhWrlypdevWaffu3Yq5eIF4ER8fH91+++2qW7euHnzwQQUGBqZStrHmzZvnHNetW1e+vslTvvV4jJ54TLqzojTobaud/7jn/9ggPdvaqnNHqVEDsaYEAABet2Wr1RtvWh04kPBc2TLSgH5GBQpc/z3LggULFH1B0+DWW29VyZIlr/t7JSlv3rxq2rSpVq5cqQOJ/UEucOutt6pZs2Zq0KBBst0DAgAAAMDVuPfee3Xy5En98ccf2rVrl7NWSoyPj4/KlCmjpk2b6oEHHlCWLFlSNL/HH39cISEh2rhxY6Jv7LlY1qxZVaVKFT3yyCOqXLnyNf3eTz/9pL///vuy/YX8+fOrYcOGevzxxxUUFKTz563mzJVmzkp8Q+t9+6URo60+nCTVe8iqWROjG2+kJg8ASB7GWmu9nURadeLEibh/NsYoV65ckmJfF8h/bcDV4X9DSC2nTlkNfNtq5aqE5/KFSAPeMLr9tvS3oIqMjNTBgwe1c+dOHTx4UKGhoQoICFCOHDlUpEgR3Xrrran+4BqQLoSfVcDS/vLziy1CRUZGKKx2f8k/u3fzAtIR7uOA68P/hoDrk1z/Gzp37pz+/fdfHThwQMePH9f58+clxQ4RZc+eXTfccINuueUW+fv7J1fqaVZEROxmGjNmSon911npTumlXoa3CGUQ/D2EqxEcHOztFCS5vRnAW/j/T++JjraaNl2aPMUqOpFnr558XHqhrZGvb/q6Vzly5Ij+/vtvHThwQGfPnlVUVJQCAwNVqFAhlS5dWiEhId5OMQ7//iNTopeATI7/70dmxb/7yMyu9O9/eHi4/v33Xx08eFBHjx5VaGho3DomR44ccWuZgIAAL2QvnTlzRv/8848OHz6s48ePKywsTDExMcqRI4dy5MihYsWK6ZZbbpGPj891/9a5c+e0bds27d+/XydPnlRERIT8/f0VEhKiEiVK6Kabbkr0c+HhVt9+L03/3Grv3sv/RuVKUvOmRndVk3x80td6N73h//uRmfHvf9qU3L0Zth0CAGQYm/+06jfA6vDhhOeqVJb6vWaUK1f6XEBlyZJF5cqVU7ly5bgxAwAAAICrlC1bNt1222267bbbvJ2K12XJYtSxvVH1u6wGvW118JB7fs1a6ZnnrTq2lx5uFPvWIQAAgNRw8FDs/ckfGxKeCwqSXnvZ6O7q6fPeJCQkJE0NAAEAAADA5fj7+6tUqVIqVaqUt1NJVI4cOVS+fPlU+a1s2bKpYsWKqlix4lV9zt/fqHFDqUE96Zdl0mczrP7alvi1v6+Rfl9jVbCA1LRJ7Gdy5kyf618AgHd5vJ0AAADXy1qrWbOtOndNOBjk8Uhtnjca+l76HQwCAAAAACC53VHe6JPJRg3qJzx3/rw0bIRV1x5W+/azOQUAAEh5S3+0eq514oNBt98mTZmUfgeDAAAAAACZl4+P0X21jCZ+YDR6hFGNe2OfZ0vMgYPS+A+smj5i9caAGK1cZRUdTY0eAJB0vDkIAJCunTlj9e4Qq59/SXgud7D0xutGd1akYQgAAAAAwMWyZTN6pY9RrZpWQ4ZaHT7inl//h/Ts81bt20nNmvAWIQAAkPzOnrUaNcZq0bcJz3k80rMtpWdbGvn6ch8CAAAAAEi/jDGqWEGqWMHo4CGrr+dafTNfOnU64bURkdLSH2M30sibV3qojlW9ukbFbmRtDAC4PN4cBABIt7Ztt2r9QuKDQXeUlyZPYjAIAAAAAIAruauq0dQpRo0aJjwXFiaNHG3VpZvVnr3sUAgAAJLP6t+tnmmV+GBQgfzS2FFGrVt5GAwCAAAAAGQoBfIbtW/n0VdfGL36klHJkpe+9uhR6bMZ0tPPWrXrEKOv51qdPkOtHgCQON4cBABId6y1+nqeNHqsVWRkwvNPPyW1eZ6dBAEAAAAASKrs2Y1e6mV0f63YN/QeOuSe37BReq61VdvW0qPNJR8f1twAAODanDtnNfb92B2SE1PnAalnN6Ps2bnfAAAAAABkXP7+RvXrSfXqSn9ukb6aY/XDT1JUVOLXb9kqbdlqNXqsdO89sW8TqlyJej0AIB7DQQCAdCU01Oq9oVZLf0h4LihIev1Vo7uqseABAAAAAOBaVK5k9OkUafyHVl/Pdc+Fh0tjx1v99LP0Sh/pxhtZfwMAgKvz+5rEB5ElKTAwdijooQe5xwAAAAAAZB7GGN1WVrqtrFHXLlZLfpAWLbb6a1vi10dESkt/lJb+aJUnj/RAbasH7jcqdWvsdwEAMi+GgwAA6cbfO61e72+1Z0/Cc7eVlfr3MyqQnwUOAAAAAADXIzDQqFf32LcIvTPY6sAB9/zmP6Xn2lg921Jq8aTk58daHAAAXN65c1bjP7Ca+03i5++sKL3c26hgQe4rAAAAAACZV86cRs2bSs2bGv3zj9Wib62+/U46fiLx648dk2bOkmbOsipcSKp9f+yg0M03s74GgMzI4+0EAAC4Emut5i+watch8cGgJx6Txo5iMAgAAAAAgORUsYLRJx8ZPdIs4bnISGnSZKtWba02brKpnxwAAEg3fv3NquVziQ8GZQ2QenU3GjmMwSAAAAAAAC50881GnTp49NUXRoPfMapVU/Lzu/T1+/ZLU6dJzzxv1fK5GH081WrvXur3AJCZ8OYgAECadv681bCRVou/TXgue3bptZeN7r2HhiEAAAAAACkhMNCo24tGtWpavfOe1b797vldu6SOXayaNLZq384oe3bW6AAAINaJk1ajx1p9vyTx8xUrSC/3MSrEUBAAAAAAAJfk62tU/S6p+l1Gp05ZLflBWrTY6q9tl/7Mv7tiN/iaNFm6taTVA7WN7r9Pyp+PNTgAZGQMBwEA0qx/d1m93t9q166E50rdKr3Zn6YhAAAAAACp4Y7yRp9Mlj6aYjXzCykmxj3/9Txp2QqrHl2lGvdKxrBeBwAgs7I29kGlUaOtTp5KeD4gQOrwglHThyWPh3sGAAAAAACSKmdOo+ZNpeZNjf7512rpD1ZLlirBxl4X2rZd2rbdatz7UrnbrWrfb3RfTSl3btbkAJDRMBwEAEhzrLVasFAaOcYqLCzh+UeaSR3bG2XJwgIFAAAAAIDUEhBg1KmD0QO1rQYPtdq23T1/7Jj0Wj+re++WuneV8rEDIQAAmc7hw1ZDR1j9+lvi5yvdKfXpxcZfAAAAAABcr5tvMrq5tVGb5622bZOW/GD1w4/S4SOX/szGTdLGTVajxkgV7rC6/z6jGvdKwblYpwNARsBwEAAgTTlzxmrwMKsff0p4LjBQermP0f21WIwAAAAAAOAtt5Y0+nC89OUcaeJHCTf2WLZCWrve6oU2UpOHJR8f1vEAAGR0MTFW3yyQxn9gde5cwvPZs0tdOhnVr8sbBgEAAAAASE7GGJUqJZUqZdSxvdWmzdLSH6x+/Fk6cSLxz8TESGvXSWvXWQ0fId1xh9V9tYxq1mBQCADSM4aDAABpxsZNVgMGWR06lPBciVukN/sbFS3C4gMAAAAAAG/z9TV6/FGpxj3SsJFWK1e550NDpRGjrb5bIvXpJRW/mfU8AAAZ1d87rYaNiH34KDE1a0jduxrlzcP9AAAAAAAAKcnjMSpfTipfzujFzlbr/4gdFPrpF+ns2cQ/E33hoNDI2DcK3VfLqOa9UnAwa3kASE8YDgIAeF1UlNXUadLHU61iYhKeb9I4dkdBf38WGwAAAAAApCUFCxoNeVda+oM0aqxNsAvhn1uk59taPfWk1XMtWdsDAJCRhIZaffSx1ezZsQ8SXSx3sNSjm1Gtmvz9DwAAAABAavP1NapcSapcyahHN6vVa2IHhZYvl86HJf6ZmMQGhWr+/xuFGBQCgDSP4SAAgFcdPGT15iCrjZsSngsKkl7qbVTzXhYWAAAAAACkVcYYPVBbqlJZGv+B1fyF7vnoaOnTadKPP1r17indWZF1PgAA6Zm1Vj/8JI0ZZ3X0aOLX1K8rde5oFBTE3/sAAAAAAHhblixG91SX7qluFBZm9dtK6cefrX79TQpLyqDQKAaFACA9YDgIAOA1P/5k9d5Qm+grS+8oL/V7zShfPhYSAAAAAACkB0FBRi/3MXqwjtWQ4VZ79rjn9+6Tuvawql/PqlN7o5w5WfMDAJDe/LfHasQoq9/XJH6+UCGpV3ejKpX5ex4AAAAAgLQoIMDovlrSfbViB4VWrpJ++OnqBoXuKG91fy0GhQAgrWE4CACQ6kJDrUaNtVqwMOE5H4/0fCujp5+SfHxYOAAAAAAAkN5UrGD08SRp6jSradNj3xx0oYWLpF9/s3qxk1Tngdg3DwEAgLQtPNzq08+sPpshRUYmPJ/FT2rxlPT0U0b+/vzdDgAAAABAehAQYFSrplSrZvyg0I8/Wa24wqDQuvXSuvXxg0L31TKqea+UOzc1AQDwJoaDAACpasNGq0HvWB04kPBcwQLSG68b3VaWRQIAAAAAAOmZv79R29ZGte+zGjzMavOf7vmTJ6U337KaN1/q0U26+SZqAQAApEXWWi1fIY0el3hdX5KqVJa6dzUqWoS/zwEAAAAASK8uNSj062/S+SQMCo0YJZUvZ3X/fUa1eKMQAHgFw0EAgFQRGWn10ZTYXQWtTXj+gdpSr+5G2bOzKAAAAAAAIKO4+Waj8WOkud9I739oFRrqnv9jg9SqjdVjj1i1etYoMJC6AAAAacV//1mNHGO1+vfEz4fklV7sHPvgEG8CBAAAAAAg47h4UGjVaumHH688KLT+D2n9H1YjR0mVKlk9+IDRvfeI2j8ApBKGgwAAKe6ff6zefMvq750Jz2XNKvXoalT3IZqHAAAAAABkRB6PUdOHpXuqSyNGW/2yzD0fHS3NmCl9v9SqS0fp/vuoEQAA4E2hoVYfT7WaNVuKikp43scjPfqI9PxzDPYCAAAAAJDRBQQY1awh1axxwaDQT1a//nrpQaHoGGnVamnVaquAAOmeu2MHhapUlnx9qSUAQEphOAgAkGKioqxmzJSmfGwVEZnwfLnbpb6vGhUqyA0/AAAAAAAZXUiI0dsDjZavsBo52urgIff80aPSG29afbNA6v6idOON1AsAAEhN1lp9v0T6v/buO7yKKv/j+GfSCUlIqKEl9BZBkCYiKNWugIW1IKLIT5FV1F11VazL6rprRbAjyqpgAxUQpAhKBwHpoXcMARJIIX1+fwy55oYk3CS35r5fz3PNPXOnHHzmzJkzc77nTHzX1IkTJa/Tob306MOGmjejngYAAAAAwN8UDRTKzja1ctX5A4WysqQFC6UFC01F15D69LEChS5IYKAwAHA2goMAAC6xY6epl18xtWPnub8FBUn33mPoL7dIgYHc4AMAAAAA4E8u7WmoS2dp6memPp8m5RYbUGTtb9Lwe0z95RZTd97BjAQAALjDzp2mXn/L1MZNJf9eu7Y0+j5DA/rRcQcAAAAAAEihocUChVZLi342tWy5FRBUktRT0oyZ0oyZpurXlwb0MzVwgKEmDBYGAE5BcBAAwKmys01N+dTU519Y04MW16ypNO4pQy1bcEMPAAAAAIC/CgszdO89hq4YaM0itHqN/e95edL/Ppd+nGfqvnulKwZKAQE8SwAAwNmOHzf10RRTs+dIBSU80w8KkobeLA0fRsAuAAAAAAAoWWiooct6SZf1MpSZaerXpdL8habWrCm5D6EkHT0qffo/6dP/mWrV0tSA/ob695Xq1OH5AwBUFMFBAACn+X2jqX//x9SBg+f+FhBgvUAcebeh0FBu4AEAAAAAgBTX2NCrr0hLfpHeetvUsWT730+ckMa/bOqbGdJfH5Au7MAzBQAAnCEz09Tn00xN+7L00Xy7d5MeGmMoLo76FwAAAAAAOCY83NAVA6UrBhpKSTG16GfppwWmtmwtfZsdO6UdO01Nele6qJOpAf2sWYkiI3kmAQDlQXAQAKDSUlJNvfu+NbJgSZo1lZ54zFC7ttysAwAAAAAAe4Zh6PLLpG5dpU+mWp2U8/Pt19meKD3woKm+fUzdP8pQ/fo8YwAAoCLy8kx9P0uaPMVUamrJ6zRoID34gKGel1j1NAAAAAAAQEXExBi6cYh04xBDhw+bmr9Q+ml+yYOPS5JpSr+tk35bZ+q1N6QePUwN7G/o4u5iQHIAcADBQQCACisosF4ivveBqbS0c38PCpLuvMPQsNul4GBuzgEAAAAAQOnCww3d/3+GrrrS1Ftvm1q95tx1Fv0sLV1qauhQU8NuMxQezvMGAAAcYZqmflkqvfu+qYOldMAJC5PuuM3QrUPpcAMAAAAAAJyrYUNDd90pDR9mzRT00wJTCxZKJ06UvH5OrrTkF2nJL6YiqkuXX2Zq4ABDHS+UAgJ4bgEAJSE4CABQIdsTTb36hqlt20r+vW1b6R9/N9SsGTfiAAAAAADAcU3iDb32H0MrVpl6e6Kp/Qfsf8/Jlab+T5ozx9Soe6WrruBFIAAAZdm02dSkd01t2lzy7wEB0rXXSHffZah2LepUAAAAAADgOoZhqHUrqXUrQ6P/z9T6DVag0JJfpIyMkrdJz5BmzZFmzTFVp7bUv5+pAf0NtWzBrMcAUBTBQQCAcjlxwtRHU0z9MMuaxrO4atWkkXcbummIFBjIjTcAAAAAAKiYHt0Nde0szfxe+ujjc2ctPnFSeunfpr6ZIT00RrqwA88hAAAo6sBBU+99YHWuKU3PS6T7Rhlq2oR6FAAAAAAAuFdgoKEunaUunQ09OtbU8hVWoNDKVVJubsnbJB+XvpgufTHdVJN4aUB/69OgPs82AIDgIACAQ86cMTXtS+nzL0ydySp5nX59pb+ONlS7NjfaAAAAAACg8oKCrAFIBvaXJn9iasYMKb/Afp0dO6QHHjR1WW9T995jqEk8zyUAAP7t+AlTUz419cMP59abhdq2kUbfZ6hTR+pNAAAAAADgeaGhhvpcLvW53NDpNFOLl0g/zTe14ffSt9m3X/rgI1MffCS1v8CaTajv5VJ0NM87APgngoMAAGXKzzc150fpw49NnThR8jpxjaVHxhrq0pmbagAAAAAA4HxRUYbG/tXQoOtNTXzH1IqV566z5Bfp16WmrrzC1N13GYqtx3MKAIB/OXXK1GdfWLPqZWeXvE6DBtL/3Wt1lDEM6koAAAAAAOB9oiINXX+tdP21hpKOmVq4yAoU2rW79G02bZY2bTb15gSpe1dTAwYYuvQSqVo1nn8A8B8EBwEASmSapn5dakXW791X8jqhodJddxoaerMUEsJNNAAAAAAAcK0m8Yb+87KhlatMvT3J1L799r8XFEhzfpTmLzA16HpTd95hKCaGZxYAgKotI8PU9K+kaV+ayswseZ2oKOt5/qDreZ4PAAAAAAB8R726hm77i3TbXwzt2Wtq/gJT8xdIfySVvH5+vrR8pbR8palqYVKvS61Aoa6dpeBgnokAqNoIDgIA2DFNU8tWSJM/NrVjZ8nrGIZ09VXSyBGG6tThhhkAAAAAALjXxd0NdeksffeD9NHHpk6ftv89N1f66htp1hxTNw42NfRmgoQAAFVPZqapGd9Jn39h6tTpktcJCZZuvkm64zZDkZHUhQAAAAAAwHc1a2ro/+41dO89pjZttgYKW7RY57wjKHQmS/ppgfTTAlPR0VK/PgW6cUiuOrSn+zyAqomrGwBAkhUUtHK19NFkU9sTS1+vW1dp9H2GWjTnJSIAAAAAAPCcoCBDNw6WrhggfTHd1JdfWS/6ijpzRvrf59JX35i6/lpTtw41VLcuzzQAAL4tI8PUNzOk6V+WHhQUGCBdc4101zDqPgAAAAAAULUEBBi6sIN0YQdDD/3V1Ko10vz5ppYul7KzS94mNVX6Zoapb2acVsMGAerd29TlvaV2bSXD4NkJgKqB4CAA8HN5eaaW/CpN+9LUtm2lr9eiufTA/Ya6duFGGAAAAAAAeI+ICEP33mPoxsGmPv2fqZnfS3l59utkZ1szCc34ztTVV5m6/VZDDRvwjAMA4FvS0s4GBX1lKi2t5HUMQ+rfT7rnLkONGlHXAQAAAACAqi042NCll0iXXmIoM9PqCzl/gam1v0kFBSVvc/hIgb6YJn0xTapbV+pzmanLLzOU0M4KPAIAX0VwEAD4qbQ0Uz/Mlr7+1tSxY6WvF9dYGnGXob6XS4GB3PgCAAAAAADvVLOmobEPGhp6s6nJU0zN/UkyTft18vKk73+QZs821b+/qWG3G2oSz/MOAIB3O51m6quvTX31tZSeUfp6vXpKI+8x1LwZdRsAAAAAAPA/4eGGrrpCuuoKQydPmlr4s/TTgrIHTT92TJr+lTUYS53a0mWXmbq8t6H2F9BfEoDvITgIAPzM/v2mvplh6se50pms0tdr1FAaMdxQ/37c5AIAAAAAAN9Rv76hp/5haNjtpv73ual586X8fPt18gukeT9JP8031buXqaE3Wy/6DINnIAAA73HypKmvvzX19bdSZmbp6/W8RLrrTkNt21CPAQAAAAAASNaAYjffKN18o6GDh0zNX2DNKHTwUOnbJB+Xvv5G+vobUzWipB49TF16iaFuXa3AIwDwdgQHAYAfOHPG1M+LpR9mm9q0uex1GzSQRtxpaEB/KSiIG1oAAAAAAOCb4uIMPfmEobvvMvXZNFOzZ0s5ufbrmKa05BdpyS+m2raRbrlZ6nMZz0QAAJ61b7+p6V+amvfTuXVXUb17WUFBrVpSbwEAAAAAAJSmcSNDd98l3X2XoaRjkZo3P0c/zj2jgwdL3+bUaWnuPGnuPFPBwdJFnUxd2tNQzx5S3bo8iwHgnQgOAoAqyjRNbdsuzZpjasHCskcVlKSEdtItNxu6rBcdYAAAAAAAQNURG2vo0bGGhg8zNW26qe++L3k25W3bpedfNPXOu9KQwdL110pRUTwjAQC4h2maWr9Bmjbd1PKVZa97+WXS8GGGWragngIAAAAAAHCUYRhq0zpIbVoH6c7bs7Vnj6mfl5j6eYm0b1/p2+XmSqtWS6tWm3r1dalVS1M9Lpa6dTWU0I7+lgC8B8FBAFCFmKapxB3Sz4utG9YjR8pePzBAuuwy6ZabDF2QwA0qAAAAAACoumrXMjRmtKFht5v66htTX38jpWecu96xZOnd901N/ljq08fUDdcZan+B9dIQAABny8sztWixNO1LUzt2lL6eYUh9+0jD7zDUrBl1EgAAAAAAQGUYhqFmzaRmzQzdM0Lau8/U4iXS4l9M7d5d9rY7dlqfT6aaCg+3ZhXq2sVQt65So4a8TwDgOQQHAYCPKyiwAoIWL3EsIEiSoqOlq6+ShgwyFFuPG1EAAAAAAOA/atQ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" ] }, "metadata": { "image/png": { "height": 563, "width": 1667 } }, "output_type": "display_data" } ], "source": [ "with pm.Model() as imputed_censored_model:\n", " mu = pm.Normal(\"mu\", mu=((high - low) / 2) + low, sigma=(high - low))\n", " sigma = pm.HalfNormal(\"sigma\", sigma=(high - low) / 2.0)\n", " right_censored = pm.Normal(\n", " \"right_censored\",\n", " mu,\n", " sigma,\n", " transform=pm.distributions.transforms.Interval(high, None),\n", " shape=int(n_right_censored),\n", " initval=np.full(n_right_censored, high + 1),\n", " )\n", " left_censored = pm.Normal(\n", " \"left_censored\",\n", " mu,\n", " sigma,\n", " transform=pm.distributions.transforms.Interval(None, low),\n", " shape=int(n_left_censored),\n", " initval=np.full(n_left_censored, low - 1),\n", " )\n", " observed = pm.Normal(\"observed\", mu=mu, sigma=sigma, observed=uncensored, shape=int(n_observed))\n", " idata = pm.sample()\n", "\n", "az.plot_posterior(idata, var_names=[\"mu\", \"sigma\"], ref_val=[true_mu, true_sigma], round_to=3);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can see that the bias in the estimates of the mean and variance (present in the uncensored model) have been largely removed." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Model 2 - Unimputed Censored Model of Censored Data\n", "\n", "Here we can make use of `pm.Censored`." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "with pm.Model() as unimputed_censored_model:\n", " mu = pm.Normal(\"mu\", mu=0.0, sigma=(high - low) / 2.0)\n", " sigma = pm.HalfNormal(\"sigma\", sigma=(high - low) / 2.0)\n", " y_latent = pm.Normal.dist(mu=mu, sigma=sigma)\n", " obs = pm.Censored(\"obs\", y_latent, lower=low, upper=high, observed=censored)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Sampling" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Auto-assigning NUTS sampler...\n", "Initializing NUTS using jitter+adapt_diag...\n", "/Users/benjamv/opt/miniconda3/envs/pymc_env/lib/python3.10/site-packages/pymc/aesaraf.py:1005: UserWarning: The parameter 'updates' of aesara.function() expects an OrderedDict, got . Using a standard dictionary here results in non-deterministic behavior. You should use an OrderedDict if you are using Python 2.7 (collections.OrderedDict for older python), or use a list of (shared, update) pairs. Do not just convert your dictionary to this type before the call as the conversion will still be non-deterministic.\n", " aesara_function = aesara.function(\n", "Multiprocess sampling (4 chains in 4 jobs)\n", "NUTS: [mu, sigma]\n" ] }, { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", " \n", " 100.00% [8000/8000 00:02<00:00 Sampling 4 chains, 0 divergences]\n", "
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"text/plain": [ "
" ] }, "metadata": { "image/png": { "height": 563, "width": 1667 } }, "output_type": "display_data" } ], "source": [ "with unimputed_censored_model:\n", " idata = pm.sample()\n", "\n", "az.plot_posterior(idata, var_names=[\"mu\", \"sigma\"], ref_val=[true_mu, true_sigma], round_to=3);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Again, the bias in the estimates of the mean and variance (present in the uncensored model) have been largely removed." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Discussion\n", "\n", "As we can see, both censored models appear to capture the mean and variance of the underlying distribution as well as the uncensored model! In addition, the imputed censored model is capable of generating data sets of censored values (sample from the posteriors of `left_censored` and `right_censored` to generate them), while the unimputed censored model scales much better with more censored data, and converges faster." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Authors\n", "\n", "- Originally authored by [Luis Mario Domenzain](https://github.com/domenzain) on Mar 7, 2017.\n", "- Updated by [George Ho](https://github.com/eigenfoo) on Jul 14, 2018.\n", "- Updated by [Benjamin Vincent](https://github.com/drbenvincent) in May 2021.\n", "- Updated by [Benjamin Vincent](https://github.com/drbenvincent) in May 2022 to PyMC v4." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Watermark" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Last updated: Tue May 31 2022\n", "\n", "Python implementation: CPython\n", "Python version : 3.10.4\n", "IPython version : 8.3.0\n", "\n", "aesara: 2.5.1\n", "aeppl : 0.0.27\n", "\n", "seaborn : 0.11.2\n", "arviz : 0.12.1\n", "pymc : 4.0.0b6\n", "numpy : 1.21.6\n", "matplotlib: 3.5.1\n", "\n", "Watermark: 2.3.1\n", "\n" ] } ], "source": [ "%load_ext watermark\n", "%watermark -n -u -v -iv -w -p aesara,aeppl" ] } ], "metadata": { "kernelspec": { "display_name": "pymc_env", "language": "python", "name": "pymc_env" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.6" } }, "nbformat": 4, "nbformat_minor": 4 }