jonsedar/MRE_missing_values.ipynb

## MRE_missing_values.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# MRE_missing_values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Issue: `sample_prior_predictive` fails for a model with missing values. Is there any way to correct it?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Setup"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Author: jon@sedar.co\n",
      "\n",
      "Last updated: 2021-04-01 02:03:52\n",
      "\n",
      "Python implementation: CPython\n",
      "Python version       : 3.8.5\n",
      "IPython version      : 7.20.0\n",
      "\n",
      "Compiler    : Clang 10.0.0 \n",
      "OS          : Darwin\n",
      "Release     : 19.6.0\n",
      "Machine     : x86_64\n",
      "Processor   : i386\n",
      "CPU cores   : 8\n",
      "Architecture: 64bit\n",
      "\n",
      "matplotlib: 3.3.2\n",
      "theano    : 1.0.5\n",
      "arviz     : 0.11.0\n",
      "seaborn   : 0.11.1\n",
      "numpy     : 1.19.2\n",
      "pymc3     : 3.9.3\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import arviz as az\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pymc3 as pm\n",
    "import seaborn as sns\n",
    "import theano.tensor as tt\n",
    "import warnings\n",
    "\n",
    "%load_ext watermark\n",
    "%watermark -a \"jon@sedar.co\" -udtmv -iv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Notebook config"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%config InlineBackend.figure_format = 'retina'\n",
    "sns.set(style='darkgrid', palette='muted', context='notebook')\n",
    "plt.rcParams['figure.figsize'] = 16, 4\n",
    "RANDOM_SEED = 42\n",
    "RNG = np.random.default_rng(seed=RANDOM_SEED)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. Simple linreg, no missing values, everything works as expected"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 8.01092742]\n",
      " [11.5490581 ]\n",
      " [ 7.20564887]\n",
      " [ 9.03575594]\n",
      " [ 7.91899853]]\n",
      "[[-0.69528292  1.96001589]\n",
      " [-0.2495488   3.94056472]\n",
      " [-2.95103519  1.69782049]\n",
      " [-0.8721596   2.68375741]\n",
      " [-1.01680116  2.14695607]]\n"
     ]
    }
   ],
   "source": [
    "n = 20\n",
    "X_MU = np.array([-1., 3.])\n",
    "INTERCEPT = 2.\n",
    "BETA = np.array([-0.5, 2.])\n",
    "S = 1.\n",
    "\n",
    "x0 = RNG.normal(loc=0, scale=1, size=(n, 2)) + X_MU\n",
    "s = RNG.normal(loc=0, scale=1, size=n) + S\n",
    "\n",
    "y = INTERCEPT + np.dot(x0, BETA.T) + s\n",
    "\n",
    "print(y.reshape(-1, 1)[:5])\n",
    "print(x0[:5])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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   "source": [
    "coords={'names': ['a', 'b'],\n",
    "        'obs': np.arange(y.shape[0])}\n",
    "\n",
    "# don't standardize: want to demonstrate param recovery\n",
    "# x0s = (x0 - np.nanmean(x0, axis=0)) / (2 * np.nanstd(x0, axis=0))\n",
    "\n",
    "with pm.Model(coords=coords) as mdl0:\n",
    "    x_obs = pm.Data('x_obs', x0, dims=['obs', 'names'])\n",
    "    intercept = pm.Normal('intercept', 0, 2)\n",
    "    beta = pm.Normal('beta', 0, 2, dims='names')\n",
    "    sigma = pm.InverseGamma('sigma', alpha=6, beta=5)\n",
    "    like = pm.Normal('like', mu=intercept + tt.dot(beta, x_obs.T),\n",
    "                             sigma=sigma, observed=y, dims='obs')\n",
    "\n",
    "rvs = ['intercept', 'beta', 'sigma']\n",
    "display(pm.model_graph.model_to_graphviz(mdl0))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### `sample_prior_predictive` works as normal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "with mdl0:\n",
    "    trc0_prior = pm.sample_prior_predictive(random_seed=RANDOM_SEED)\n",
    "azid0 = az.from_pymc3(model=mdl0, prior=trc0_prior)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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\n",
      "text/plain": [
       "<Figure size 864x316.8 with 4 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 306,
       "width": 852
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "extra = 1\n",
    "m, n = 2, ((len(rvs)+extra) // 2) + ((len(rvs)+extra) % 2)\n",
    "f, axs = plt.subplots(n, m, figsize=(m*6, 2.2*n))\n",
    "_ = az.plot_posterior(azid0, group='prior', var_names=rvs, ax=axs)\n",
    "f.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Just for good measure, show that `sample` works fine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Auto-assigning NUTS sampler...\n",
      "Initializing NUTS using jitter+adapt_diag...\n",
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "NUTS: [sigma, beta, intercept]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "    <div>\n",
       "        <style>\n",
       "            /* Turns off some styling */\n",
       "            progress {\n",
       "                /* gets rid of default border in Firefox and Opera. */\n",
       "                border: none;\n",
       "                /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
       "                background-size: auto;\n",
       "            }\n",
       "            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
       "                background: #F44336;\n",
       "            }\n",
       "        </style>\n",
       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
       "      100.00% [8000/8000 00:12<00:00 Sampling 4 chains, 0 divergences]\n",
       "    </div>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "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 20 seconds.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0, dim: obs, 20 =? 20\n"
     ]
    }
   ],
   "source": [
    "with mdl0:\n",
    "    trc0 = pm.sample(target_accept=0.85, random_seed=RANDOM_SEED)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0, dim: obs, 20 =? 20\n"
     ]
    }
   ],
   "source": [
    "azid0.extend(az.from_pymc3(model=mdl0, trace=trc0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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cuP76q/nss/mtqn/rrXcwY8Z5UWUXXHA2a9asblX9++//L5MmHR9VNm3asZSVlbWq/n/Hj2dAYmJU2dSPP25VXYCXjz2WdNfOOWLLPR7O//zz1lUeNYhvv/0hqmj16lVceOGMVlXPyMjg44+jt7VgwVxuuOGaVtUfPHgIL700O6rstdde4e67/9Sq+scdN5kHHngkquzhhx/k0UcfalX9rn7svfjiawwZMiyqbNSoQa2qCzBnzgIyM7Mij0tLSzjxxEmtrn84H3tTp07lmWeeiSrTsadjrzX0vndgx95do0YxISMjquy8BQuo8PlaVX+fPnNbOCYP6DMX+GTatKjHP9bWcs3ixa2qmzHtWB17et+LPN7X970DOfbSHA5emRS9rUVlZdz27betqj/4grM73LG3Zctm+vfv16r6u1KAJiIiB8XpRybz7YZGqhoCXDQprV3CqwmD4slLszP/uzpOPTKpzbcvIiIiIp1X48cfUL7xx6gy3+pVra5f//rLlC/+IqossC3/oLStLVTedSuWJheSKz2efaq/613x1bW1ra4bqqnZp20dbD5fQL2iDkD1/fdQvkuIsS8O9NjrSMp/dx3127a1ennf6lXN/nYaN2xodX3P4i+b90hJSG51fRGRrk4BmoiIHBQ2q8Evp2fhtBskHKS5zvZHjwwnlx7vbFb+Q76bnplOYpyWdmiViIiIiIiItIcDDW93rV/byh4oEA7Jy393Xacb0kxEpKswTNM097eyzxegpsZ9MNuzTzIyEgCNjSwt0/Ehe6Lj48CETJPXF1Zx/MhE0hI6/r0YG4s9/OWVItITrfzkqBT8AZOy2gCN3hCYYALnH5eK0x4O13R8yO7o2JA90fHRsSQlxeBwdPzPqM6kvc8PW9KR5oHoSG3pSDrSfulIbeloOtK+6UhtkZZ1hN8RdMxjRm2JprbsXkdqz+H+nneoz9M60u+oI7WlIzmQc0OdUYqIyD4JhUye+LiMz7+vZ8WmRm49LxeXo2P26gqFTFZtbeTRD8rwB02KqgI88kHzuwUdNoNLj0+LKntvcTmbttUzsk8sA/Jcmk9NREREREQ6LF00FREROfgUoImIyD5p8IZYV+gFoKjST365j/65rr3Uah+rtri5942SvS6XlWzH2CUg+/jrKtbmN/LeshpS460cNSie44YlkJvqOFTNFREREWkTutDe8XWE3xHo97Q3HeH3pN+RiIjIoaMATURE9klCjJWbZ+Rw7+wiLpyc1qHCs0DQxGbdGYQN7RlDYqyV2sYgdqtB3xwng7q5yEq2k55kJ95lwWIQGbpxB68/xKainUNQVdYHeX9ZDe8vq2Fk71hOGZvE4O6uZqGbiIiIiIiIiIiIdA4K0EREZJ+lJti4+5JuWCwdI0Cqqg/wyueV1DQEuWlGTqTcajG4aHIacS4Lg7q5cNiig7LCSh9vL67mshPSo8qddgsv3TqUz5aXsXhtPcs3NOILhKcMXbGpkRWbGhmQ5+L8Y1Pp14ECRBERERERERGRQ+Fw7XWrOarlQChAExGRPTJNk6/WNjBuQBzWJoFZRwjP/AGTj5bX8NbiKrz+cMC1rtAT1StuwqD4FuvWuYP8641iSmsC5Jf7+O3Z2STH2dhQ5KGozsBuMxjbL46x/eLw+EIs+qGeD7+upqgqAMCPBR7+9WYx913Zo1kPNhERERERERERETm8KUATEZE9mv1lFW8trmbZujiuPiUTu639gzOArWVeHnm/lG0V/khZSrwVtzcUtVwgaFJS7W/yL0BptZ/iKj81DUEAnHaDOKcVgH+/XUJNQ5CeWS7uuigXAJfDwpQRiXy9voGqhiChEPgCJn2ynazc7KZbup3sFuZRExERERERERGRg+tw7Q0nhx8FaCIislsl1X7eX1YDwNfrG9hY7GFgt5h2bVMoZPLeshpmf1lJcHtWZrPCKWOTmTI8gdKaAB98Xc3WMh/5ZT4KKnyR5XbVO8tBcpyN/zsxIxIM7phCLRgymy1fURfA49tZvnKzm5Wbw3OlJcVZ6ZPtpEeGg6kjE0mK00esiIiIiIiIiIjI4UpX90REZLeyku3cPDOHf79VzAWT0to9PKttDPLf90pYne+JlGUk2chLc7Doh3reWVLd6nUlx1lJTbBxwxnZUeWnHJFMyLCSnmRvVqdbugOLYVBW48fjjw7YahqCfLOhkW82NPLWV9X0yXZyzJB4JgyKJ85l3bcXKiIiIiIiIiIiIu1KAZqIiOxR/1wX917Rgxhn+87z5fGFuP2FbVTWhYddNAATKKsJUFYTaLGOw2bQPcNBj3QH2Sl2MpPtZCXbyUyy4djNvGWThiXwt9eL6ZHpYmQPOw7bzuWuPS0LCM8LV1kfpKAi3MNtY7GX7za7aWwyfOTGYi8bi728tKCSsf1iOW5YAkN7xGiYRxERERERERERkcOAAjQREYniC4SiQiOg3cKzqvoAKzc38v0WNxdNTmPSsETeWFRFZpKN8QPieWdpdWTZOJeFfjlOemQ46ZnpoHuGg6wkOxbLvgVW/5tTxsYiDxuLPAQDAa48KbPZMoZhkJZgIy3BxohesQAEQyFmf1nFB8tqCDQZMtIfNPlqbQNfrW2ge7qDK6al0zfHtV/7Q0RERERERERERNqGAjQREYlwe0Pc+XIBxw5N4JSxSe3eW+rz7+t4bWEVAKP7xvGTo5KxGDB1VCK1jUFqGoP0z3PSP9dFTor9oLT3+BGJrM73YLManHlUSqvrWS0WZh4TDvke/bCUdYXeZstsq/CRGKvhHEVERERERERERDo6BWgiIgJAyDR55MNSCir8vPxZJQCnHpF8UNZb7w5R7wnS6AlhEh5+0eWwkBhrJdZpsL7Qy9J1DRw9JIE+2U4AqusDBII75xlbV+hhwqB4frI91IpzWfnZSRkH3L5dDekRw7+v6U+9O0iqK7jP9TOT7fzx3FzeW1bD7C8rCW7vjWYxoFeWk/TE6I/eBk9Qc6SJiIiIiIiIiIh0MArQREQECIdaA/NcfLuxkcRYKxMGxe/zOkIhkw3FXtYVethY7KWgwkdpdQB/kyBsT37Y5ua4YYk4bAZvflVFVX2QY4fEc/LYZLql2/e5PfsrLz0c4pWV1UXK/AGTuStrmToqEetehoW0WAymj0tmeK8YHv0gHEqGTNha6qW8NkBGUvi1uL0hbnlmG0N7xHD+cakkxeljWUREREREREREpCPQlToREQHC83qdekQyPTIcOO0WUuJb9xFhmibrCr0sXF3H1xsaqW3c915bO+SX+3lhfkVU2fKNjfTJCQdaeWn7PqfZwWCaJs/OLWfBqjq+2djItadlkhCz915jvTKd3HFRHrO+qOKj5TWce2xqJDwDmL2oiuqGIAvX1BMMmVxzWtahfBkiIiIiIiIiIiLSSgrQREQkyrCesa1aLhA0+ez7OuYsr6Gw0t/iMrFOC9nJdlLirdQ2Bskv9+HxR/dGMwCH3cDrb7mXWoMnxDOfhkO1GIdBvxwX/XNd9Mt10jfHRYzD0voXt59KqwMs+qEegM0lXho8oVYFaAAOm4WLJqdx1MA4em8fnnKH7ukOkmKtBEMmF05KO+jtFhERERERERERkf2jAE1EpAvz+kOUVPvpkeHc+8LbhUImC9fU8+ZXVZTVBKKei3VaGN03lhG9YumX48RuNfjg6xrmf1eL2xcdkHVLszNpeCITB8cT77Lw6heVvLe0JvJ8SrwVtzeIp0k25/aZfLfFzXdb3AAYRjiE6p/ron+uk/65LtITbRjGwe2llpVi57bzc3ngnRIunpJGdsq+DyfZN8fVrGxNvhu7DWaMTyV5lx5/vkAIh+3Qh4MiIiIiIiIiIiLSnAI0EZEuyjRNnv60nCVrG7h4ShqThyfsNXj6YZubZz4tp6BiZ6plACN6xzJ5eAIje8disxo0eIJ88HUNHy2viepZZrXA+IHxTBuVSJ9sJ4ZhEAyZPPlxeHjEHS6YlMopY5MJmSaFFX7WFXpYX+RhXaGX4qqd2zZN2FrmY2uZj09XhMuS4qz0zwmHaT0zneSk2kmOsx5wqNYz08nfLuuO3Ra9nsD2+d1s1n1b/9If61m4Jtyr7clPyimrDXDmUSnYrAYVdQHuermAsyakMGlY4gG1W0RERERERERERPadAjQRkS7q242NLFwdDnBe/aKSsf3iSIxteVhCtzfEy59XMG9lXVT5kf3jOHtiCnlpDgD8AZP3llbz7pJqGryhyHIuh8GU4YmcOCaJtISdHz0+f4j/vl/K8g2NQDhg+9mJGRw9JAEAi2HQLd1Bt3QHU0aEg6TaxuD2MM3D+kIvG4u9+IM7Q7qahiDL1jeybH3jzu3bDbJT7JF/OakO0hNtpMRbSY6ztTr82jU8A3jl8wo2lfj45WmZzXqR7Um/XBfDesawaosb04S3F1ezclMjV5yYwVMfl1NZF+SJOeVsLvFx0eS0fQ7oREREREREREREZP8pQBMR6aJG9o7ljPHJvLOkmqtPztxteLax2Mt/3yuhtMlwjUN7xHDecan0ytw59KNpmvzl1UI2FnsjZQ6bwcljkzhlbBJxrubrD5pQWR+ILHv99CxG9N7zHGyJsVbG9I1jTN84INwDbEupl3WF4R5q6wo9VDcEo+p4/CabS31sLvU1W58BJMZZSYm3khpvIyXeRvfsRtIT7djMACkJ4XKnvflwiot+qOej5bUA/OXVQv56WfdWB10p8TZ+d3Y2n66o5eXPKvEFwm2888UCBnWPiSz36Ypa8st9XD89a7e/IxERERERERERETm4FKCJiHRRFovBjKNTOXZIAlktzOllmiaffFvLiwsqCG7vTBbvsnDR5DQmDo5vNiSiYRgcPTiejcVerBaYMiKRM8Ynkxy3+4+aGIeF356Vw31vFXPx5LQW5wnbG5vVoG+Oi745Lk4eG253eW2A9UVeCit8FFf7Kar0U1zlxxcwm9U3Cfdaq2kIsrlke8C2orbZcrFOC6nxVlLibaQm2MhJteOyWchIslFWE+Ccian73EvMMAymjkpiaI8YHv2gjI0lXgIhWLXFTbc0O6U1AXwBkx8LPNz1ciG/PyebjKR9n39NRERERERERERE9o0CNBGRLq6l8CwQNHlubjnzvts5ZOPQHjFcdUpGJBAzTRNfwIzqmXX8yERKqv1MG5XU4np31GsaviXGWrn9/NwDnqNsB8MwyEiyNwuaTNOkqj5IcVU4TKusD1BVH6CyLhj+f10Aj795wLZDozdEozfEtibzv+1gs8JHy2tYV+ihT7aTvjkuspJtrX5NOakObj0/l7cXV/H24mpCJmyr8OOyG5GArqTaz50vF/Lbs7Lp2aTnn4iIiIiIiIiIiBx8CtBERLqQbzY0ROYA2516d5AH3y1hTb4HCA9xePbEFKaPT8ayPRCqrAvwxJwyYl0Wrj0tK1LXajG4eEr6bte9sdjD05+W86szskltMhfawQrP9sQwDFITwr3HhvSIaXEZtzdEZX2AkNVBeY2fLUX1kZCtanvgVucONasXCMKGYi8bmgxfGec0GNErjtH9YhnWI4b4mD0Pv2izGpw9MZWRvWN57MMyiqr8nHZkMlNGJHLvG0VsLvFR0xDkL68W8qszsnf7GkRERACqqqp46KGHmD9/PqWlpXTr1o2zzz6byy+/HJtNp4EiIiIiIiJ7ozMnEZEuoqTKz3/fL8U04ZIpaUwanthsmbIaP/94vYiS6vC8ZC67wS9OzWT09vnGAEKmyT2ziyjY3hNrbL96jhoYv9ftf7e5kQfeKcHrD9e/9bzcFudFa08xTgt5TgcZGQkAlJU170XnC4SoqA1QWOmnoMJHQcWOn77IUJcADV6TRWvrWbS2Hqsl3INv/MB4xvSN3ePr7pvj4u5LujHvu1qmDE/EbjP4w8xcHninhFVb3Hh8Jve+UcQN07MZ2WfP88WJiEjXVF9fz4UXXsjGjRuZMmUK06ZNY/ny5dxzzz0sW7aMhx9+uE1uXhERERERETmcKUATEeki3l1ajXf7EIWFlc2HISyq8vH3WUVU1gcBSE+08eufZNM9I7q3msUwOP/YNP75ZjGZSTbSEvb+UfLlmnoe/6g0EjBlJNn3eb6wjsJhs5CT6iAn1cHYfjuDRV8gxNZSH+uLPLyxqAq3b+dwkMEQrNzsZuVmN3arwbiBcUwdmUifbGeLFzDtNoMTRydFHrscFn5zZja/fyqf8toAgSD8++1ifnWGQjQREWnuscceY+PGjfzxj3/k0ksvjZTfeOONvPvuuyxYsIDJkye3XwNFREREREQOAwrQRES6iMtOSCc+xsL3W93MODo16rn8Mh//eL2ImsZweNY7y8mNZ2WTGNtyT6mRfWL5xamZjOkbGzUHWks+Wl7DC/MrIo+PHRrPFdMysFoOzwBtdxw2C/1yXfTLdTFxcAL3v11MSryNnBQbS9c1RkJLf9Bk4ep6Fq6up1eWg6kjkzhqYByOvezHbRU+ymsDkcfBENz3VjHXnpbJkQP23gNQRES6joKCAnJycrjwwgujyk899VTeffddvvnmGwVoIiIiIiIie6EATUSki7BZDc47Ng1/wMRu2xlebS7x8vfXi2jwhLuH9c91cuNZOcQ6w4HOD/luPl1Zy9WnZEaFXhMG7Tm0MU2T1xZW8c6S6kjZ6UcmM/OYlE4/bFRirJWbZ+RitYDFEp7brKDCz1dr6/l8VR1VDeGgcnOJj//NKeOVzys4eWwyU0cmEuNsOUjrnu7g8hPSef3Lysg8bCETHny3lCnD3Vw0JQ2Hbc8hnIiIdA3//Oc/WyzfuHEjAOnpu5+vVERERERERMIUoImIdDFNw7OCinDPsx3h2ZAeMfz6J1mRXmWfrarjqU/KCIYgI7GKc49NbXGduwoETZ74uIyFq+sjZRdOTuPkMUl7qNW5NN3PhmHQLd3BCG8sHl+I/rlO5q6sY02+B4A6d4hZX1Ty3tJqThydyMljkyMB5g5Wi8HxIxOZMDied5dU8d7SGkLbR4mc910dS9c1cNaEFCYNT1CQJiIiEaZpUllZyYcffsiDDz5Ibm4uZ5xxRns3S0REREREpMMzTNM0975Yy3y+ADU17oPZnn2SkZEAQFlZXbu1QTouHR+yJ13h+DBNk9e/rOLYoQlkJdubPV9a7efuVwqp3t4bakSvGK4/IwuHzULINHl9l95j4wbEcc1pmVha0Xvs/reK+XpDIwBWC1x5UgYTByccnBfWBg7F8VFY6eOulwtp8IQYPzCOq07OpKTaz5zlNXy+uo5AcOey8S4LZ4xP5oSRSVFBXFPltX7+8XoxxVXR89lNHZXIpcerZ8Gh0hXeO2T/6fjoWJKSYnA4dL/gv//9bx5++GEg3PPsueeeo0+fPu3cqkNPf4ciIiIiIu1nx/nx4U63qIuIdFLzvqvj7cXV3PbcNpb+WB/1XGVdgL+/XhQJzwZ3c3H99HB45vOHeOjd0qjw7Myjkrm2leEZwHHDEjAMcDkMbjwr+7AKzw6VsuoAPn/4npUdP/PSHPx0Wgb3XtGDk8Yk4tgeltV7Qry4oJKbns7nq7X1tHSvS3qinb9d3o3RfWKjyk8c3XV6+YmIyN7l5eVxxRVXMG3aNCorK7nooov4/vvv27tZIiIiIiIiHZ56oEmnpeND9qSzHx8h0+SulwvZUOTFAG6emcPg7jEANHiC3P1KIQUV4Z5LfbKc3DQzhxiHhUZviPveLGZtQXhoQZsV/m9aBkcP2fcA7IvVdXRPd9Az03nQXldbOVTHx9ptbj5aXsPVp2a2OMxiTUOAt76qZt53tQRDO8uH9YzhkuPTyElxNKsTCJrMXVHLkJ4u1hV4mTIiMer5T76twTAMjhuasNvebNJ6nf29Qw6Mjo+ORT3Qmps/fz5XX301/fr145133jnoc5K29/lhU/p7bFva321L+7vtaZ+3Le3vtqX93fa0z9uW9nfb6oj7+0DODXVGKSLSCVkMg1tm5jDri0qcdkskPAsETf7zbmkkPOuWZufGs7OJcViobQxy7+wiNpf6AIhzWfjVGVkM7Baz1+1tK/eRm2aP6qF2zH6Ebp3dwG4xe9yfSXE2Lj0hnZPGJDFrYSVLfmwAYNUWN398dhunHZHM9HHJOOw7wzeb1eDE7XPLdUuLDisbPEFeW1hFozfEO4urOH1cMpOGJSpIExHpoiZPnsyECRP48ssv2bp1Kz179mzvJomIiIiIiHRYCtBERDoph83CRZPTI8P/mabJc3PL+X5r+M7w1Hgrvzsnh4QYK+W1Ae55vYii7fNppcRb+f05OeSlNe/xtKvPv6/jqU/KmDYqiQsmpR26F9RJ1TQEeGF+BZedkE6cywpAVoqdX56exZp8N898Wk5hpZ9AEN5aXM2iH+q59Ph0RvSO3e06t5Z5eX9ZDaP6xOL2hbuyVdYHeXZuBe8ureaciakcPTgei0VBmohIZxMIBFiyZAmmaXL00Uc3ez43NxeAqqoqBWgiItIl/Hnrb9q7Cfy5x7/auwkiIrIfNAeaiEgnt2N4pg+X1zDvu3D3aZfd4DdnZZMSb6Ok2s/drxREwrOsZDu3nZ+71/AsFDJ5aUEFj39URiAIH3xdw7cbGw/ti+lk6t1B/vF6MV+tbeCe14tp9Iainh/cPYa7L+nGzGNSI/OjldYEuPeNYh58p4TKukCzda7a0sjdLxfy5Zp6Vm5q5K+X5jFxcDw7OgdW1gV5/KMy/vjcNpZvaGhxfjURETm8XX311fz2t78lGAw2e+6HH37AMAy6devWDi0TERERERE5fChAExHpJKobAtz/djHltf5mz329voGXF1QCYBjwi9My6ZHhpLTaz19nFVJZF77A1iPDwa3n5ZCeaN/jttzeEPe9VcwHX9dEys4Yn8yI3nsf7lF28vhDkdCswRvE4ws1W8ZmNZg+Lpm/XtaN0X129jpbuq6Bm57OZ843NYSahGBJsTbYHpZV1QdJT7Rz9SmZ/O3ybhw1MC6yXEGFn3+/VcJfXi1ic6n3EL1CERFpazabjWnTplFZWckTTzwR9dyLL77IqlWrmDx5Munp6e3UQhEREZGuraysrkPNDyUiu6chHEVEOoGQafLYh2Ws2uJmTb6HG8/Kpn+uC4DNJV4efr+UHRHLhZPSGN0njrIaP3+dVRQJz/pkO/nd2dmRYQR3p6Taz7/fKo7Mo2a3GvzspAwmDIo/ZK+vs0pPtHPLzBye+qScn5+cQUr87j+WM5Ls/PrMbJZvaOC5uRVU1AXw+k2en1fB8vUN/OykTNITbXTPcHD99CyW/tjAJcenY7OG07ScFAfXnJbFqUd6efXzSlZtCQ/l+WOBh+IqP70ynbvdtoiIHF5+//vfs2zZMv75z3+yePFiBgwYwJo1a1i0aBHdunXjjjvuaO8mioiIiIiIdHgK0EREOoF6d4iq+vBwfnEuC922D79YWRfgvjeL8QXC8dnxIxM5cXQi5bXh8Kxi+xCAvbNaF56t3urmwXdLaPCEe0olx1n51U+y6JPtOlQvrdPLTLZz04ycVi8/pm8cQ3vE8OaiKt7/ugbThNX5Hv74bD4XT0nnmCHxDOsZy7CeLc+R1ivTye/PyWH1Vjcvf1ZBjNPC+AFxLS4rIiKHp6ysLF577TUeeOAB5s2bx1dffUVmZiaXXXYZv/jFL0hJSWnvJoqIiIh0SB1hzjzYOW9eR2hPR2yLSFtRgCYi0gkkxlr584V5vPxZJUcPjifGacEXCHH/2yVUNYR7mA3rGcMlU9KorA/y11lFlNeGw7NemQ5+f87ew7M539Tw4vwKQtu7svXOcnLDGVmkJuij5GALhkzmfFPD1JFJ2LfPfdaU027hvOPSOKJ/HI9+WEZxlR+3z+Txj8pYtr6Bn05NJzku+vdSUu3HIBzYAQzpEcOfL8yjwRuKzJMHYJomr35RyXHDEshJ2fM8eCIi0nFlZGRw1113tXczRERERETalYbLlAOhq54iIp2E027hshPC85mYpsmzn1awqSQ8t1Vemp1fnp6F1WLgC4Twb++R1iPDwe/PydlreAZQXOWPhGfjB8bxsxMzcNo1lebB5g+YPPx+CcvWN/JjgSfye2tJ3xwXd12cx6wvKpnzTS0A32xoZF3BNi6fms64AeFhNXf0HEyOs3L7+XnEOMO/N4vFICEm+nf/+ff1vLe0hjnLazl7YgqnjE3Cspvti4iIiBwo3c0uIl2J3vNERA4vCtBERA5jpmlG9R7aYd53dXz2ffgOm1inhV+dkU3s9tAkJ8XBH87N5YX55fz85EziY/YenkF47rSCCh/DesZy+pFJLW5XDlx5rZ/V+R4AVm1xU1jhp3vG7nuCOe0WLp6Szpi+cfxvThnltQHqPSH+824pRw9p5JIpacxaWEmDJ0SDJ8QjH5RywxlZLYZipmnyxerwceMPmrzyeSUrNjXyi1Mz9zg/m4iIiIiIiIhIW1EYLW1FV8NERA5TS36sZ+6KWn5+cmbUMIrrCj08N7c88vjqUzLJSrFH1c1OsXPjWXued6u02h8Z7g/AZjW46Zwc9UY6xHJSHfz2rGz+824Jvzw9a4/hWVNDesTwl0u68eKCChasCodgC1fXs67Aw0WT03jyk3JqGoJ8s7GR1xZWce6xqc3WYRgGvz8nh3eWVPP24iqCIfhhm4dbn9vGVadkMqJXy/OqiYiIACxbtoSZM2fudbmzz57J7bdHDy955523MXv2rFZt56qrruUXv7guquz666/ms8/mt6r+rbfewYwZ50WVXXDB2axZs7pV9e+//79MmnR8VNm0acdSVlbWqvovvvgaQ4YMiyobNWpQq+oCzJmzgMzMrMjj0tISTjxxUqvrf/vtD1GPV69exYUXzmhV3YyMDD7++POosgUL5nLDDde0qv7gwUN46aXZUWWbP9zKt/9d1ar6WUdmMuG2I6LK1rz4I2tfXt+q+j1P7M7oXw6PKvvmP98xak7r9r+Ovc517L322ivcffefWlV/6tSpPPPMM1FlDz/8II8++lCr6rf3+96oa4bR6+QeUWXzfv0FNRtqW1V//K1jyRmXFVX24eWf4qn0tqp+ex97Z759atTj6vU1zP/NwlbVdaU6OfnpE6LKipaUsPjur1tVP6lvIlPuOyaqrL3f9/SZ2/pj76Snjicmbeec7+4KDx/9dG6r6x/IsbcwY2mz973D/dj75j/fsWVOfqvqDzy/H4MvHBBVtuiuZYxa2rrfX1u8773J+7ut397ve+35mTt8+HA+/PDDqLJ9+cw97rjJPPDAI1FlB/qZu2XLZvr379eq+rvS2FsiIoeh8toAT35czur8cLhR2xie56y6IcB/3ikhGAovd9aEFHpnOXjy4zK8/lCr1h0Imsz6opLfP5XPqi2NUc8pPGsb/XJd3HNFD/rluva+cBMxTgv/d2IGv/5JFgkx4Y/40poA979dwpi+sdis4d/fu0ur+XJNy2OA26wGZ01I4c8X5pG1PUCtc4e4d3Yxr35eSXDHOJ4iIiIiIiIiIiKdmHqgiYgchvyBEElxVhq9IY4cEEdirJVA0OShd0upagiHaaP7xDJlRAJ/e62Iggo/RZV+bjwrG5dj9/dOlNX4efj9UtYXhe+oefSDMv52ebdWzZEmB5fd1jys3FjspU+2c691R/eN4y+XOHnsozJWbXETMmHeyjqyU+wUV/kBeGJOOVnJdvrmtBzS9cx0cufFeTz9STmLfqgHwsHbukIP103PIjFWx4SIiIhIeygra/lGKJGO6rHi+0iOT9rv+v8suIMYT3QvIBER6ZgCgWCn+q5imKa537eS+3wBamrcB7M9+yQjIwHQl0dpmY4P2ZPOcHy4fSHeXFTF2RNTcNotPD+vnDnfhLuiZyXbueOiPKrqA/x1VhG1jUFyUu38YWYOSXEt3zux9Md6nvi4nEZvuKea3Wpw8ZQ0Jg9P6HLznXXE4+OdJVXM+qKKCyencfKY1p18hkyTj5bXMOuLSgLhXBWblcj/k+Os/PnCvKghQHdlmiafrarjuXkV+ALhrwznHpPK6eOSD+TlHLY64rEhHYeOj44lKSkGh0P3C7al9j4/7Og60lwdaks0zWEie3M4fMZ3pL+ljtAW6Fjt6Yht2eFwOL7bUkf4HUHHPGbUlmj6/nD4OJBzQ51RiogcpmIcFi6YlAbAwtV1kfDMaTe44YwsYp0WYp0ObpmZwzOflnPNqZkthmdef4gXF1Qwb+XOL8t5aXauPS2Lbumtm39LDq1NJV5mfVEFwEvzKxjWI6ZVvxuLYXDK2GSGdI/hv++XUlTpj4RnANUNQR54u4Q/nJuDw95yz0TDMJg0PJG+OS7+/VYxeekOTj1y/+8eFRHp6oLBIBs2bKC+vp5QKMSe7mc88sgj27BlItKRdIQLg6CLgyIiIoeTjvD9obN9d1CAJiJymKisC5AcZ202D9nmUi9PflweeXzlSRlR4UpeWjhEa6kX2YYiD498UEZJtT9SNmVEAhdOSsO5m0BF2l7vLCcXT07jhfkVXD41fZ+DzZ6ZTu68KK9ZUAqwscTL05+Wc+VJGXvsadgt3cGfLszDZjWwdLEeiSIiB8szzzzDQw89RF3d3u/wNgyD1atXt0GrOjddRBAREdkz9TwTOTD6vtm5KUATETkMNHpD/HVWEWmJNq45NTMy/1SdO9yDyB8M370+bVQi6wo9jOodG9WjqKVg5LvNjfzzjWJC2298j3VauGJaOuMGxB/6FyT77MQxSQxpZc+zljjtFn46NYMRvWL535wyGjyhyHNfrK6nZ6aDk8Yk73EdCTHN5z1buamRH7Z5mHFMioI1EZE9eP/99/nrX/8aeRwTE4PTufd5LUVEpP0pYBAREemaFKCJiBwGnp1bTkm1n5JqP8/NK+fa07IIhUwefr+U8toAAAO7uVhX6GFzqY9t5X5+9ZOsPfYiG9jNRV6ag/xyH0N6xPDzkzL2OBeWtL+WwjOvP7RPvQXH9oujd5aTxz4sZXX+zsm3X5hfSUq8bZ8C1E0lXh58twSv36SqIcDPTszAalGIJiLSkueeew6A0047jd///vdkZWW1c4tERESkK1OvGRGRvdOVUhGRw8BpRyTzY4EHf9Dkou3znr3+ZRWrtrgBSIm34vGF2FLqA6Ck2k+DZ8/BisNm4apTMlid7+HE0YnqPXQYWrmpkUc/LOVXP8mmf66r1fVSE2z8fkYOHyyr4dUvKtkx/c5/3i3l/6aFmDQ8sVXrKa/xE9zehXHh6np8fpNfnJqJzapjSURkVz/88APJycn87W9/w263t3dzRET2SUe60K62RFMAIZ2B/pZEpKNSgCYichjonuHgzxfmUVEXIDnexpIf63lnSTUANkt4+MUd4Vlago1bZuZE9SarqAvw9CflnHZkEoO6xUTKe2Q46ZGh4aMORxuKPNz3VjHBEPzzjWLuuDCPrJTWX5C1GAanHZnMoG4u/vZaEV5/OAh74uNyNpZ4uWhyGg7bnnu2HTkgnliXlfveLMYXMFm6rgHf28Vcd3pW1BCiIiICFouF3NxchWciHZgu4IqIiIhIU7q6JSJymEiMtdI7y8nWMi+PfVgWKU9JsFFQ4QcgNcHKLTNzyEgKX5wLhUzmLK/hlqfzWbGpkcc+LMPtDbW4fjm89MpyMrpPLABH9o8jI2n/7onpm+Piniu6E+vc+ZVg3so6/vxCAQUVvr3WH9ojht+fk0OMI9zrbMUmN/96sxiPT8eZiEhTAwcOZMuWLQQCgfZuioiIiIiIiLSCAjQRkQ6osi7A24urCO0YW2+7eneQ+98uwRcIlyfFWimrCV+IC4dnuWQmh8OzrWVe7ny5kOfnV+DZ3rvIYkBlvS7cdQZWi8E1p2Xx06npXDEtHcsBzD2WHGfjzovycNp3rmNbhZ/bny/g429qmh2HuxqQ5+LmmbnEucJfK1bne7hndpFCNBGRJi6//HIaGhp46KGH2rspIiIiIiIi0goawlFEpIPx+kP8++1iNpf42Fjs5epTMnE5LARDJv99vzQSmMU4DGoagwCkxofDs6xkOz5/iLcWV/P+smqC2/MLiwGnjE3izAkpe5wXTQ4vNqvBlBHN5yszTRNjH+e0y0y2c8MZWZRW+/l8dT0birz4gybPzavgm42N/OzEjKhhQXfVO8vJH8/N5e+vF1HTEGRdoZf73irmxjOzNZyjiAgwbtw4Lr30Uh555BFWr17NcccdR1ZW1h6HdJw0aVIbtlBERERERESaUoAmItLB5Jf5KCgPD8lYXOUntL3zz6wvKlm1xQ2E5z1z+8JPpMZbueXccHi2equbpz4po6R6Zy+z3llOrpiWTs9MzXXWFRRX+XnovRKuPiWTvDTHPtUd1jMWesJxwxJ586sq3llSjWnCqi1u/vDsNi49Po0Jg+J3G851S3fwx3Nz+curhdQ0BNlW7qOiLkBO6r61Q0SkM5owYQIQvsnhs88+47PPPtvj8oZhsHr16rZomoiIiIiIiLRAAZqISAfTL9fFTTNyePyjUn59ZjaxTguLfqjn/WU1ABhAYHvPsqY9z5aua+DBd0oi63HaDc45OpUTRyUe0PB+cvgoq/Hz11mFVNUH+X+vFnL7+Xlkpey+Z8Pu2KwGM45OZVTvWB54p4TqhiCN3hCPfFDG1+sbuXxqOgkx1hbrZqfYuemcHB5+v5RrTstUeCYisl1OTk57N0FERERERET2gQI0EZEOaECei79d3h2rxWBzqZcn5pRFntsxG1XKjvBse0AysncM2Sl2iqv8jOgVw+VT00lP3PfwRA5fCTFWspPtVNUHyU11kJLQcsjVGiHTZMWmRqobgmQl2yK9Gpeua+DHAg9XnJjO6D5xLdbtlu7grkvysOzjMJIiIp3Z3Llz27sJIiIiIiIisg80KYmISAdQVOlrVma1GFTWBbjvzWJ8ATPquZR4K7/6SVZU7yKHzcL/nZjBNadmcuNZ2QrPuiCXw8Jvzsrm+JGJ3HBGFg7b/n/M1zQE+XRFLQAl1QFmHp1CSnw4kKtpDHLfmyU8MacMty/UYv1dw7NA0OSL1XWYptni8iIiIiIiIiIiIh2JAjQRkXa2YFUtNz+9jfeWVkeVe/0h/v1WMVX1wajyjEQbxwyJ56+vFrG2wBP13MA8F0ftYY4q6fycdguXn5BO/C5DLHr9LQddu5MSb+O66Vk4bAb/Ny2d6eNT+H+XdmPCoPjIMgtW1XHrc9tYvdW9x3W5vSHufaOYxz4s491djnMREREREREREZGOSEM4ioi0o6JKH09+XI4JvPJ5JX2znQzqHkPINHnk/VI2l0b3TMtIsuG0G7yzJDwf2lMfl3HXxd2w2xSYye65vSH+8mohg7vHcMGk1FYPrTi4ewz/+lkPEmPDYVycy8ovTs1kTN9Ynv60nAZPiLKaAH97rYgpwxM477g0Yp3N783ZUOxhTX44ZJv1RRXJcTaOHZpw8F6giEgHM2HCBAzD4JVXXqF79+6Rsn1hGAZffvnloWieiIiIiIiItIICNBGRdpST6uCSKWk8O7eCsyemMKh7DACvfl7J1xsaAYhzGcQ6rHgDIcprApE50KwWGNuv5TmoRHYwTZMH3y1ha5mPrWU+7FaDc49NbXX9HeFZU0f0j2NgnosnPi5jxaZwMDbvuzq+3djIZVPTGdM3+rgc1jOWy05I5+lPygF4Yk4ZiTFWRvaJPYBXJiLScVVVVWEYBoFAIKpsX6g3uYiIiIiISPtSgCYi0s6mjkqib46L3llOAOZ/V8v7y8I9zOxWg5+MT+HD5TXUNu4cgq9vtpMrpmXQPcPRLm2Ww4dhGEwensDabR7iXRaOH5m43+syTZOPvqnlqx/quWVmDr85M5sv19TzwvwK6j0hqhqC/PutEsYPjOOSKelR4dvxIxKprg/w5lfVhEx48N0SbpmZQ98c18F4mSIiHcqzzz4LQG5ubrMyEREREREROTwoQBMRaWMVdQHSEqLffneEZ6u3unlqey+dcLmDFxdURh677AYzj0nlhJGJWCy6M11aZ9yAeBJjrcQ6LaQn7v9H/ztLqnltYbgHxWMflnHt6ZkcPSSB4b1ieX5eOV+tbQBg8doGVm1xc/HkNCYO3jkn31kTUqhuCDL/uzp8AZN/vlHMbRfkkpOiIFhEOpdx48a1qkxEREREREQ6ruYTlYiIyCHz4fIafv9kPt9tbmz23NZSL/98oxhz+xiNfXOc/FjojTw/um8sf728O9NGJyk8k302qFsMPTKcUWVef4i5K2oJ7Tjo9uKogfHEu8JfHZaua+DNReEwLTHWyjWnZfHrn2SREh/uddbgCfHoh2X8841iymv9QLg33GUnpDO6b3joxnpPiHteL6a6PtDC1kRERERERERERNqPeqCJiLSRlZsbeXF+BQD3v13CP37andTtPdFKq/38Y3YR/uDOIGPioDhqGoL4gyaXTEnjyP5xmg9FDhrTNHnqk3K+XFPPis2N/PykDOJczec7ayoz2c71Z2Tx99eKCIbgza+qyUl1MGFQPACj+8YxsFsMr3xewbyVdQCs3OzmD89s49xjUzl+ZCJWi8E1p2byj9eLWFfopbw2wL1vFHPb+bk47bqvR0Q6v++++44NGzbgdrsJhUJRzwWDQbxeL6WlpXz22Wd89NFH7dRKERERERERUYAmItJGhvWM4dih8Xz+fT0zj0mNhGfV9QH+/lphZI4zu83g/GNTmTY6iQF5MaQn2vYabIjsq23lfhavrQfgxwIPjd5Qq46zQd1iuHxqOk/MCQ81+r+PyshItNEvNzyXWazTwk+nZnDUwHie/LiMkuoAHr/Js3MrWPRDPf93Yga5qQ5+/ZNs7n6lkMJKPyN7x+KwKRwWkc7N5/Pxy1/+ks8//3yvy5qmqZtmRERERERE2plu9RYRaSMWw+D/pmXw+3OyOWlMEgB17gB/ebWQstogAHmpdu77WXiYRoCemU6FZ3JIdM9w8Idzc0mNt3LNqZlkJNlbXXfSsEROGRs+Rv1Bk/veKqak2h+1zODuMfzlkm6cdkQSO64Bryv0cutz23hjURVOu4Xfnp3DT6emM/OYVF0oFpFO74UXXuCzzz7DNE26d+/O0KFDMU2TvLw8Ro4cSXZ2Nub2IXVHjRrF448/fkDbKysr4/bbb2fSpEkMGzaMo48+mt/+9rfk5+cfjJcjIiIiIiLS6SlAExE5RHz+EEVVvqgyi8VgWM/w/E/L1tdz/aNbKaneOf+T3WaQEKPATNpG/1wX/7iiO8N7xUaVe3whiqv8u6kVdt6xqYzZPpdZnTvEvbOLqXMHo5Zx2C2cd1waf7ogj+7pDgACQXhjURW3Pb+NyroAU0YkHsRXJCLScX3wwQcYhsEf//hH5syZw4svvkhMTAyDBw/m5ZdfZt68eTzxxBMkJSWxdu1aevTosd/bKisrY+bMmbzyyiv07duXSy65hOHDh/Puu+8yY8YMNm/efPBemIiIiIiISCelAE1E5BCocwf5++tF/L9XiyiriQ4iQqbJUx+X8cDbpQSbTH3SM9PBz0/OVE8caVMOW/OvAi/Mr+DW57bxwdfVBENmC7XCYfAvTs2kT7YTgJJqP/9+qxifP9Rs2T7ZTu64KI+Zx6Rit4aP78JKP3e/UsjTn5TR6N1Z5+v1DXy5pv5gvDQRkQ5l06ZNJCUlcfHFFwPgcDgYNGgQS5cujSxz9NFHc9ddd+F2u3nyySf3e1sPPvggRUVF3HzzzTz55JPcdNNNPPLII/zjH/+gurqav/3tbwf8ekRERERERDo7BWgiIofA7C+rWFfopaYhyCMflEaGZKqs9fO7J/KZ911d1PInj03kjgvz6La9l45Ie1m5uZEFq+rwBUzeX1qDx9c8ENvBabfwmzOzyUgKz+e3rtDLox+WEWohdLNZDaaPS+Yvl3ZjSHdXpHzuyjpufjqfpesamPNNDQ+8XcLjH5WyJt998F+ciEg7crvd5OXlRd0o07dvX2pqaigpKYmUTZ06ldTUVBYtWrTf2/rkk09ITU3lsssuiyo/44wz6NGjB1988QWh0O7f30VEREREREQBmojIIXHesan0ynKQnmjjZydlYBgGn66o5TdP5FNWu3PIRgO44YxMLpyUjsWinmfS/gZ3i2H6uGSsFrhoStpe5+BLjLXy27OyiXOFv1IsXdfAM5+WR0LjXWWn2LlpRg5XnpRBnDNcp7ohyIPvlPDJNzWYQDAE979dQkGFr8V1iIgcjhITE3G7o28O6NatGwDr16+PlBmGQW5uLsXFxfu1nWAwyFVXXcUvf/lLLJbmp3sOhwO/34/fv+ehekVERERERLo6BWgiIoeAy2HhxjOzuf2CXLKT7by/rJpnPy2nacccmxXuuDiXsf3i26+hIruw2wxmHpPK3y/vzvgBcVHP1buDLFvX0Cwcy0l18OufZEeGZ5z3XR2vflG5220YhsGxQxP4+0+7M2HQzuO/uDrAjmu9jd4Q/3yjmJqGwG7WIiJyeOnfvz9bt26NCsZ69+6NaZp89913UcuWl5djt9v3aztWq5XLLruMiy66qNlzGzZsYOPGjfTo0QOn07lf6xcREREREekqDHN3t4i3gs8XoKam/YZYyshIAKCsrG4vS0pXpOND9uRgHx9fr29gQJ6LhJjo3jr17iCPf1TGNxsbo8pj7PDH8/PokaGLVx2R3j9a9sScMhasqmNIdxc/OymT9ERb1PMrNjby77eLI3P7nXtMKqePS97reldsauSZT8spr20elvXJcnLLuTk47R3jnh8dG7InOj46lqSkGBwO294XbCMvvPACd911F/379+eWW25h4sSJlJeXM3nyZJKSknj55Zfp3r07L730EnfccQdDhgxh9uzZB237oVCIK664gkWLFvHb3/6WK6+88qCtuyPS36GIiIiISPvZcX58uOsYV6NERA5Tpmny3tJq7n+7hPveLMbnDycHoZDJx9/U8MdntzULz+JdhsIzOewUVPhYsCp8MXJbhT8y/GJTI/vEctXJmewYjPTVLyqZt7J2r+se2TuWv17WjZPHJmHsMpLpxhIvD79f2uK8aiIih5OZM2cyZMgQ1q1bx5VXXonf7yc9PZ3p06dTUVHBKaecwvjx47nzzjsxDIMzzzzzoG3bNE1uv/12Fi1axLBhw5rNjSYiIiIiIiLNdZxbMkVEDkMen8nc7QHB+iIvS9c10DvLyd9eK6K6Idhs+fREG78/J4fslP0blkmkveSlObhpRg4vzCvnpDFJxOwSoJmmiWEYHDUonkZfiKc/KSfGYZCb2rpj3Wm3cOGkNI7sH8djH5ZSUr2zN9ryDY089Uk5/3dixkF9TSIibcnhcPDss8/yn//8hyVLlkSGaLzlllvYvHkz33zzDTU1NQCccMIJLQ7BuD8CgQC33XYbs2fPpnv37vz3v//F4XAclHXvqr1HKGlKPULblvZ329L+bnva521L+7ttaX+3Pe3ztqX93bY64v4+kNFJFKCJiByAGKeF356dzd0vF3LmUcmUVPt57MMyWuork5dm53dn55CaoLdeOTwN7RHDXZd0Y5dOYtQ0BPjH68WcPDaJiYPjOX5EIoGAyYA8F72y9q2nZf9cF3df0o1XP6/k42939l5bsKoOw4ArpilEE5HDV3x8PDfffHNUWWJiIi+99BLffPMNBQUF9OrVi2HDhh2U7bndbm644QYWLFhAr169eOqpp8jKyjoo6xYREREREensdBVXROQA5aQ4uPW8XP79dglFlf4Wl+mX4+Q3Z2YTv8scaSKHG6tl1/gM3ltWQ365j8c/KqPOHeTUI5I5cUzSfm/DabdwyfHpjO0Xx0PvlVDnDg+NOv+7OnwBk8tOSCfGoVGoRaRzGT16NKNHjz5o66upqeHKK69kxYoVDBkyhP/973+kpaUdtPWLiIiIiIh0dgrQRET2QXltgDnf1HD+salYtgcJW8u83PdmCRV1gRbrHNk/jqtOzsBh1wV/6XxM06SuMTxcaazTwqRhLU8SGwyZPPlxGccNTWBgt5hWrXtIjxjuvaIHD7xTzPdbPQB8uaaeDUVefnl6Jj0zNY+giBye6urqqK6uxuv17nG5fv367df6vV4vV111FStWrGDcuHE8/PDDxMfH79e6REREREREuioFaCIirVRQ4eOe14uorA8SCJhcPCWV+avqeWFeBf5gS4M2wiljkzjvuFQsRvNeOyKdgWEYXHVKJiePTaK4yk+cK7qX5cLVdVitBkt/rGfpukaW/NjA787OYUCeq1Xrj3FauGlGLis2NvLYR6XUuUOUVPu546UCLjgujamjEjH09yUih4k5c+Zw//33s3Hjxr0uaxgGq1ev3q/t/Otf/+Kbb75h9OjRPP7447hcrXvPFdlfHWmOC5Guyvb4+e3dBAJXvtzeTRARETmoFKCJiLRSvTsYGUru202NxLksvLW4OvK83Qr+cEccrBa4eEo6J4xMbIeWirS9npnOZj3C3L4QL8yvoN4TIs61swemabYcOO/JyD6x3H1JNx55v5Q12zwEgvDcvApW57v52YkZzYI7EZGOZtGiRdxwww2tfg/cn/dKgLKyMl544QUA+vTpw+OPP97icj//+c9xOtWTV0REpKvTTRAiIrunAE1EpJUGdovh8qlpvLSgkvLaAHXuIMlxVqobglgtO8OzpFgrvzw9s9XD1Il0VsvXN1DvCYfO4wbEEQiaTBqW2OreZ7tKibdx6fFp3PVKEY3e8Hq/Xt/IltICfnFqJv1z1cNCRDqu//3vf5imyfjx47nxxhvp168fsbGxB307K1aswO8Pz8n6+uuv73a5yy67TAFaF6aeKiIiIiIie6cATURkHwztEUswVAHA/O/qGNLDRXVDkGD4Wj59c5xcd3oWqQl6exU5ekgC6Yk23l5czU/Gp0T9XfgCIZavb+TIAXFYLa0fgjHOZcXlMGhsMm1QeW2Av7xSyAWT0jhxtIZ0FJGOadWqVcTFxfHQQw8d0vnIpk6dytq1aw/Z+kWka+rqoat66Ehn1NX/rkVEWkNXeEVEdmPx2noaPCGOH5lIIGjy2sJKpo1O4rxj03h7cRUAq7Z4IstPGZHAxZPTsdt08V5kh4HdYvhdC70xF66u56lPynHOMTj5iCTOmZjaqvUlx9v47Vk53PVyAW7fzuHNQia8ML+CzaVefnpCOg67ZQ9rERFpez6fj969ex/S8ExEDowuJsu+0jFzaCiwFBGRjkIBmohIC75aW8/D75ViAuV1ftZu87Cu0Mv3W90M7+miqj7Ijkv3sU4Ll0xJ4+ghCe3ZZJHDRsg0eW9pNQDegMnbi6tJT7QxaVjr5gzslu7g+jOyuXd2UaT35w4LV9dTWOHn+jOySFNPUBHpQPr27UthYSGhUAiLRSG/iOy/rh4uKLQSERGRtqIrSyIiuzBNk+82NUYCsveX1hDa/mBrmY8tpb7IskO6u7jy5ExdqBfZBxbD4NrTMnn4g1KKqwKYJjwxpxy3z+TkMUn8WOAhPsZCbqpjt+sY2iOGK6Zl8PhHZdvXCXabgddvsqnEy59eKOA6zUUoIh3I+eefz6233spzzz3HZZdd1t7NOSSWLVvCzJkz97rc2WfP5Pbb74oqu/PO25g9e1artnPVVdfyi19cF1V2/fVX89ln81tV/9Zb72DGjPOiyi644GzWrFndqvr33/9fJk06Pqps2rRjKSsra1X9F198jSFDhkWVjRo1qFV1AebMWUBmZlbkcWlpCSeeOKnV9b/99oeox9+XNnLerB9bVTcj1sa8n0a3ff6mGn75/qZW1R+SEcOr5w6MKnvttVe4++4/tar+ccdN5oEHHokqe/jhB3n00YdaVf9Aj71fHJnFteNyosqufW8jCzbXtqr+nyZ3Y+bQ9Kiyc19dy+oy986Ch3Z/LLT3sTf38qFkxtkjj0sb/Bz/9Petrr/q2lFRj/f12Pv4yuiyAz32Zn1fzh3zt7Wq/qReiTx0Wp+osvCx922r6s8Yksafp3SPKvvzvHxeW13Rqvp7PPb2cMzs0Kpjbw/+c2pvJvdOiiqb8tQqyhoD0Qvupi2vzBzA0MzoeT+HPfRtq7YNB37s7fq+t3r1Ki68cEar6mZkZPDxx59HlS1YMJcbbrimVfUHDx7CSy/NjirT+16TY28vx297v+8d7M9cHXv6vtdah/OxN3z4cD788MOosvY+9rZs2Uz//v1aVX9XuuIrItJESZWf5+eXs2LTzhOJ0M5R4jC3/99uNTj32FSmjU7EovmWRPZZ72wXf7+8O29+VcUbi6oBeHF+BY2eIEt+rKewMsDI3jHccEY2NmvLf2PHDk2grMbPm19VEzLBADKTbJTWBKhtDPK314q4YloGxw5V71ARaVvr169vVjZy5EjGjBnDP/7xD9avX88JJ5xAZmYmDsfubxbo12//TvJEpHOyfnQPth8fiy5sqGp9/Tf+gG1h7N4XFBERkQNyoJ+5thevwdbkxgFbg/9gNKtNBALBTtVbXgGaiAjg9Yd4d0k17y2rJhDc87K9Mh1cdUomeWm7v+AlIntnGAZnTUglzmnl+fnhu2/f/Ko68rxpstvwbIezJqRQVhNg4Zp6PH6TeBPG9ovl6/WNBEPw+EdlFFX6mXFMisJuEWkz06dP3+Pzr732Gq+99toelzEMg9WrW3eHrIiIiIiItKwzhTnS9gzTNM29L9Yyny9ATU3runsfChkZ4TvK9UcgLdHxIXuy4/goLa1l+YZGnvy4jDp3aI91DAOmj0vmzKNS9npRXw5vev9oe59/X8f/5pRFenm67AZXnZLB2H7xkWVM0+Tjb2oZPzCOpLid9wAFgib3vF7EuiIP156Wxei+sbzxZRVvLa6OLHNEv1iuOiUTp/3A5h3SsSF7ouOjY0lKisHhaJ/7BQcNav3wLHvyww8/7H2hDqS9zw+l9TrSHFJqS7SO1BboWO1RW1qmtuye5qrbs47we+qqvyOdN3QuHelvqSO1pSM5kHND9UATkS5rW5mXB98oZuXmvV/oyUq2cdXJmfTLdbVBy0S6nmOHJhDnsvDf90rxBUw8fpO3vqqmb46L5O1h2Zp8D8/Pr+CVzys599hUThoTnofBZjW4/ows8st9DNo+59k5R6eSnWLniY/LCARh2fpGyl8t5Dc/ySY5Xl9/ROTQOtyCLxERERGRw4mCImkruoIkIl2OxxfiqQ+LmP1FGYFgdCfcfjlO1hd5o8qOH5nIBcelHnDPFRHZszF947hlZg73vVVCbWOQzaU+7nypkF//JJvuGQ4+XRGeqNofNMlMjv4KE+eyRsKzHSYOjic1wcZ/3i2hzh1ic4mPO18u5LdnZ5ObqiFYRaTteDweXK7d34SzcOFChg4dSnJycts1qovQxRUREZGOT5/Xhwf9nqQr0tVgEekyTNNk8dp6bn46n1cXlEbCs6xkO/1ynPTOig7PkuOs/PasbC4/IV3hmUgb6Zvj4k8X5JKTEp4st7w2wJ0vF7D0x3oun5rO2RNTGNzdxcje0ZPxFlT4WFfoiTw2TZNXP6/kvaXV/PHcXHJTd67vrpcLo5YVETlU6uvr+etf/8rEiRMpLi5ucZlAIMB1113HpEmT+Mtf/kJjY2Mbt1JERERERERaoh5oItIlbCv38dy8ctbk77xo7nJYGN7TxYmjEnl8TjmlNYHIc+MGxHHZCekkxFjbo7kiXVpGkp3bzs/lwXdKWLPNg9dv8uC7pZx5VDJnTkjhJ+OTMYzoeQhnf1nF0nUNDMxzce1pmXz0TQ3vLasBwOWo4g8zc3jg3VJ+LPDQ4Anxt1lFXHNaJmP7xbXHSxSRLqCkpITLL7+czZs3Y5omS5Ys4Ywzzmi23MaNG/H5fAQCAZ5//nkWLlzIM888Q0ZGRju0WkRERA4l9eARETm8qEuFiHR6pmny3/dKosKzIwcm0D8vhqXrGvnLrOJIeBbrtHD1KRlce1qmwjORdhQfY+V35+QwdVRipOzNr6p54O0SPP7ooVeLq/wsW9cAQFV9gIRYK+MHxBPjCIdsS35sYNbCKn57VhZH9Av3XPMHTR54p4S5K2vb6BWJSFcSCoW45ppr2LRpE8nJydx0000cd9xxLS47YMAAlixZwq233kpiYiIbN27kuuuuwzTNFpcXERERkcNbWVkdZWV17d0MEWkF9UATkU7PMAwumJTGPbOLSY6zUt0QZPm6OoKh6OWG9IjhypMySEvQW6NIR2CzGlx6fDo9Mhw882k5wRAs39DIC/Mq+NlJO3tmZCbb+OX0LN5dUs2k4QlYLQa9spz85sxs7pldjC9gsmBVHRYDrjktkxfnV/LJilpME57+pJzahiA/Oap5rzYRkf319ttv8/3339OzZ0+ee+45MjMz97h8bGwsF198MZMmTeLCCy9kxYoVfPDBB5x66qlt1GJpC+p1ICLSPvT+KyIi+0tXiUWk08kv8+EPmvTJdkbKhveK5brpmby8oAIgKjyzWuCC49KYOjoRiy6gi3Q4k4cnkpfm4IG3S7BaYeYxKVHPWwyDI/vHcUS/WJp22BjYLYbLp6bz2IdlAMz7ro6QCZdPTSMlwcqsL6oAmL2oilp3kIunpOk9QEQOinfffRfDMPjjH/+41/Csqe7du3Pbbbdx/fXX8/bbbytAExEREWljHSFwhZ2ha0dojwJg6coUoIlIpxEImrz6RSVzlteQk2rnrou7YbPuvBheVR+kvDYYVadbup1rT8siL83R1s0VkX3QP9fFHRflUe8JkhQX/fXFNE0Mw9j+L7re2m2eqMcLVtURMk3+b1oGibFWnvy4HNOET76tpd4d5OcnZ0a9b4iI7I81a9aQmJi422Eb92TatGkkJSWxatWqQ9AyERERERERaS3NgSYinYbVAltLvYRMKKjws3B1eDzpYCjEv98q5vl5FTSdTeTcSZnceVE3hWcih4nUBBs9MpxRZSXVfu58uZBNJd4W6wzvFUNWsp04pwXb9mkNP/++nsc/KuPYIQlcPz0L+/bA7Ku1Dfz7rWK8/lCL6xIRaa2amhry8vL2q65hGHTv3p3q6uqD2ygRERERERHZJwrQRKTTMAyDS09IJyHGwsWT0zhmaALzVtbwm8fzWb6hMbJcnMvCP6/uy09PzlFPE5HDmD9g8tC7JWwo8nLHiwWs3uputsy4AfH89bJu3Hp+Lr85MzsSlrl9IRasCofsN56VhcsRLl+52c3fXyui3h1sti4RkdZyuVwHFIDV1dXhcOgGHxERERERkfakAE1EDktef4hZX1Ty5Zq6qPLcVAf3/awHJ45J4qmPy3nqkwqqGnZeCB/S3cW/r+zBkJ7xbd1kETnI3L4QTnv4q0z3DAcD8lwtLmezGuSlORjWM5bfnJXN+IFxXHp8Oi9/VsH9b5cw55tabp6ZQ2JsuIva+iIvf3m1kMq6QJu9FhHpXPr06UNJScl+hWhVVVUUFBSQk5Nz8BsmIiIiIiIiraYATUQOK6Zp8vX6Bm55ZhvvLKnmhfkVNHiie4qYwGMflvDZ9zvDNasFzj8ulZtn5kYuuIvI4S0x1sot5+Zw4eQ0fn5S87nLQiGzWZ2hPWK49rQsvt3YiNsXfj490UavDCe3npdLemJ4frWCCj93vVxIUZXv0L8QEel0jjnmGEKhEE899dQ+133uuecIBAKMHTv2ELRMREREREREWktXkUXksFFa7edfb5Zw/9sllNeGe4b4AmbU3EfrCz384Zl8vljdECnrlengwat6cuoRyW3dZBE5xCyGwcljkuieET3U2TcbG7jt+QLWFXparHf8yER+e3Y2A/NcjOodyx+f20YwZHLb+bl0S7MDUFEX4O49zK8mIrI75513Hg6HgyeffJKPP/641fXmzZvHo48+imEYzJgx4xC2UERERERERPZGAZqIdHi+QIg3v6rilme2sWLTzrnMjuwfx98u786wnrEEgiavLazkzpcLKasN90iLdVr46dR07ry4G/Ex1vZqvoi0Ma8/xHNzK8gv93HXy4U89XFZi3OajegVy89PzuDhD0ojPc4KK/1MGZFIQkz4K1KdO8RfXy1scX41EZHdycrK4tZbb8Xv9/PrX/+a22+/nY0bN+52+XXr1vGHP/yBX/7ylwSDQWbMmMGIESPasMUiIiIiIiKyK1t7N0BEZE9Wbm7kubnllFTvnIsoK9nGJcenM6JXLAAFFT7++14x+eU7l7Fa4OYZOfTKcrZ5m0WkfTV4QqQl2CI9Ved9V8eSdQ2cNSGF40ckRg316HJYyE6xU+f20ugNcc/sImwWA1/AxGqBYAg8fpN73yjiF6dkcmpGQnu9LBE5zMycOZPNmzfz5JNPMmvWLGbNmkVGRgb9+/cnOTmZYDBIVVUVGzZsoKKiAggPVT19+nT+9Kc/tXPrRURERERERAGaiHRIlXUBXphfwdJ1O4ditFsNpo9P5tQjknDYLIRMkznLa3jls0qCu0x1dNaEFHpmOhCRric1wcYfzs3h8+/refmzCuo9IRo8IZ6fV8En39Zy/nGpjO4Ti2EYJMRYuXlGLk/MKePLH+oJhcC3fe60Y4bE4w/Cl2vqCQThP++VYtgdnDIurZ1foYgcLn73u98xYcIE7rjjDvLz8yktLaW0tBTDMDDN6C8v/fr145prruHUU09tp9aKiIiIiIhIUwrQRKRDCQRNPlpew5tfVeH177ywNLJ3LJdMSSMzOTw3UXltgMc/KmVNfvP5jS6anMpJY5Lbqski0gEZhsFxwxIY3TeW2V9WMW9lLSETiqv8/PutEgbkuZgxMYVB3WOw2wyuOiWD7BQ7sxdVRdZRUOHnl9MzSYix8NHyWkwTHnhjG7WNAaYMicEwjD20QEQk7JhjjmHOnDksWbKEr776io0bN1JXV4fL5SI9PZ3evXszadIk+vTp095NFRERERERkSYUoIlIh7Em382zc8spqPBHytISbFw8JY0xfWMjd2svXFPPc3PLcfvMZutQeCYiTSXEWLnshHSmjkrk5c8qI/Mo/ljg4f/NKmJIjxjOmZhC/1wXZ05IITvFzv/mlOELmKwv8vKnFwr55WmZJMRYeW1hOFx7+qNiisqSuGBSKhaFaCLSCoZhMH78eMaPH9/eTREREREREZFWUoAmIu2usi7Ay59V8NXancM1Wi1w6hHJnDE+GafdAkCdO8hTH5exbH1js3X0yHBw+dR0+uW42qzdInL4yEtzcONZ2aza0shrX1SxscQLwOqtblZvdTMgz8VJoxMZNyCOvDQHD7xTTEl1gJqGIM/OreB3Z2fzzpLqSM/Yj5bXUO8O8n8nZkTNqSYiIiIiIiIiIp2DAjQRaXcffF0dFZ4N6e7i0hPSyU3dOYfZNxsbeHJOOTWNwWb1xw2I48qTMiJBm4jI7gzrGcvQHjF8s7GR1xdWkV/uA8I90n4s8JCeaGPa6ERumZnLc3PLWbXVzTWnZdLoC5GeaKOgwo9hgGnCwjX11HtC/PL0TL3/iIiIiIiIiIh0MgrQRKTdnXlUCl+uqcdmNbhochpH9o+LzC1U7w7y/PwKvlxTH1neAEzAYTP4yVHJnH5ksuYiEpFWMwyDMX3jGNUnlmXrGvhgWQ0bisM90sprA7z6eSXjB8Rz/RlZFFb6yUsLh/l3XtSNL9a6SU2w8dBbBXj8Jis2NfKP14u44YwsEmP1tUpEREREREREpLPQ7dIi0qYq6gJRYRhAnMvKjWdl8/fLuzNuQHwkDFu2roFbntkWtXz3dDs7Zj7rneVUeCYi+81iGIwbEM+fLszj9vNzGT8wDosB4wbEk5pgwzCMSHj29foGGr1BThmfxtNzShjYzUW8K/zes67Qy68fz+fbTc2HlxUR6QhKSkoYO3YsTz/9dHs3RURERERE5LChW6VFpM18tLyGWV9UEgyZ9MpyRA3R2Cd759xltY1BnptXzuImwzpaDLjypAwmDo7nmbkVVNUHuPbUTIVnInJQ9Mt10S/XRcVxAUIhM+q52sYg/3m3BNOE7FQHFbV+Kmr9xLssxDmhwWviD5r8641ifnl6JuMGxLfTqxARaa6hoYHrrruO+vr6vS8sIiIiIiIiEQrQRKTNhEImvkD4wvQ7i6u56pTMZsss+bGeZz4tp84diq5rwtJ1DUwcHM+lU9IwAatF4ZmIHFxpCc2/Gi1eW09w+1vSwG6xNHhC1DQEqPeEmi376AdlmCaMH6gQTUTaX0FBAddddx3ff/99ezdFRERERETksKMhHEXkkNm1F8e00Un0zHRwxvhkLp+aHvVceW2A+94q5j/vlkbCs6ady6wWGNw9BgCLxVB4JiJtZmy/OGYek0pemp3LTsrh0V8P5JghLQdk/qDJQ++V8tZXVZimiS/QPGQTEWkLTz/9NNOnT+eHH37gqKOOau/miIiIiIiIHHbUA01EDrqq+gCvLayk0RvihjOyI+U2q8GfL8yLCr+CIZM5y2uYvagKr39n4GYA5vaHhgHXnp7FEf3i2uoliIhEpCbYmD4umenjkslICQ89+/OTMzl6SAIPvF2M22c2q/P6l1UsXF2Hxx/iZydlMqJXbFs3W0S6uGeffZa8vDzuuOMONm/ezFdffdXeTRIRERERETmsKEATkYPG6w/x3tJq3l9WExmqcU2+O9JzDKKHXdxQ5OGpT8rZWuaLlNmtBv6gSdPL0d3S7fTJch7y9ouI7IuhPWK44Lg03lpcTUVdoNnzxdXhsntnFzNxUBwThyQwKM+Fw64BAETk0LvjjjuYOHEiVquVzZs3t3dzREREREREDjuGaZrNb5tuJZ8vQE2N+2C2Z59kZCQAUFZW125tkI5Lx0fbCYVMvlhdz2sLK6luCEbKk+KsXH5COmN36TlWVR9g1heVfLF652T2FgMsFghsr261wOlHJgMm08en4LAd3AvOOj5kT3R8yO7s7tjYUurh2bkVrCv0Euu00OhteehGu9VgcHcXw3vFMqJXDNkpdgxDQ9J2Fnrv6FiSkmJwOHS/IMDs2bO55ZZbuOWWW7j88svbuzltQn+HIiIiIiLtZ8f58eFOZ5Qist9M02TlJjezFlZG9SJz2AxOGZvEaUcm43LsDL58gRAffl3DO0uqo4Zr7J/rJCnOyvL1jQDkpNq5+pRMeqvXmYgcJnpmurjt/DxKqv1kJtlYsamR/80po7YxOkjzB01WbnazcrObF4D0RBunHpHE1FFJ7dNwERERERERERFpkQI0Edkvq7e6ef3LStYVeqPKjx4Sz8yjU0lN2Pn2Ypomy9Y18NJnlZTX7hzmLCnOypnjk5m7so51hY3EOAyOGhjPhZPTcGqIMxE5DGUl2wEY1SeOe6+I4X8flbJkXWPkeYsBoSZ9/8trAwR26azmD5g0eIMkx+lrmogcXtp7hJKm1CO0bWl/ty3t77anfd62tL/blvZ329M+b1va322rI+7vAxmdRFdmRGSfrC/08NrCSlbne6LKB3dzcf6ktGa9xloK2mwWyEy287tzsklLsLM630N+uY9AEI4cEKfwTEQ6BZfDwpkTUvg+30ODJ5yShXYZONthMxjRKyaqbNXWRv79Zgn9cp2cMzGVIT2inxcRERERERERkUNPAZqItMrGYg9vLKpmxabGqPK+2U5mHJPKkO6uqHl81m5zM/vLKtZsiw7aspNtlNcFKKz089ZX1VwxLYPLTkgnEDK54Lg0slPsbfJ6RETaQrd0Jw9e1ZPZX1by/rKaZgFat3Q728q8ZCfbsVjC76HL1zdiAusKvWh6NBERERERERGR9qEATUR2yzRNftjm4Z0l1azaEj0cT48MB+dMTGFUn9io4GxDkYfXv6xqtnx6oo16d5Di6p1DOK4r9OD1h0iMtfLrn2Qf2hcjItJObFaDc49N46TRSfzrrWI2leycM3JjsY//vFfGmL4N/Oon2cz+spKkOCt9c5yUVvsZkOeKWtcn39bwY4GHowcnMKxXDFaLEjYRERERERERkUNBAZqI7NFrC6OHX8xJsXP2xBSOHBCHpUlwtr7Qw1uLm/dQy0yyYQJlNYGo8jOPSmb6uBTsNl38FZGuISnexh0XdeOL7+t4+tNyfIGd3dF8/hDL1jXw5lfVGAacPSGFE8ckNQvI5q2sI7/cx1drG0iNtzJ5eCKThieQEq+vdCIiIiIiIiIiB5OutohIRCAYvphrs4Yv2BqGwRnjUvjnm8V0T3cwfXwy4/rHRYYZC5kmKzY18v7SGtYWRA/VmJZgxWoxKN0lOAPIS7Nz9OAEhWci0iUdMzSBQd1jePyjUtZsn09y1VYPawvCNyuYJnj8IR56t4QTRiYysncsFotBnTtIgzcYWU9lfZDZi6p4a3EVY/rGcfzIxGbD6YqIdFUdadJyEREREWk/+l4oB0IBmojQ4Akyd2Udn3xbw4yjUzl2aELkuRG9Y7hpRk7URVmfP8TiHxt4f1k1BRX+qHVlp9gY3iuWpT82UFG3MzwbmOdi2uhEAI7oH917TUSkq0lPtHHTjBwWfFfHK59X0ugN4d9+E0NCjIVVm91sKfOxcrOb9EQb4wbEcezQBP71sx78kO/hs1V1LFlXTyAIwRAsXdfA0nUN5KXZOXlsEhMH6SYFEREREREREZEDYZimae59sZb5fAFqatx7X/AQycgIX+RXiiwt0fHRetvKffzh2W0AdE93cPcleS32YCit9vPpilo++76OBk8o6rleGeEeat9vdTN35c59PjDPxZkTUjpcrwgdH7InOj5kdw7FsVHTEODFBZUs+qF+79tPsnHBcamM6RtHvSfE59/XMW9lbbPevklxVqaNSmTKiEQSYqwHra2yZ3rv6FiSkmJwOHS/YFtq7/PDllz6r43t3QSe/U2f9m7CIaf3P+nsdIy3Le3vtqX93fa0zw+cvuN1XB3x+D6Qc0OdUYp0MaGQSVGVn7w0R6SsW7qDYT1jWJPvpkeGA6/fxOUwIsuv3Ozmk29r+G6zm10T9+Q4K/XuIOMGxnHkgHjiXNZIgDZxcDxXnZzRoYIzEZGOJinOxi9OzWTSsARe/qyCzaW+3S5bVhPggXdKSYm3cuzQBE4/MplTjkhi1RY3c5bXsHJz+MJ1TUOQ1xZW8fbiaiYNS+DUI5NJS9DXPhEREZH9sbuLgLqAKyIi0rnpSopIF1FdH+Cz7+uYt7IOty/EAz/vgcNuiTx/8ZQ0YhwWUuLDbwtlNX6+XFPPglV1lNdG92zYPgUaIROqG8Lz8XyyopZTjkhmcHcXJ41J5KiB8fTNcbXNixMR6QSG9Ijhzxfl8dUP9cz6oipqGNxdVdUHWbCqjrMmpLCu0MuwHjGM6BXLtnIfHy2vYeGaOgJB8AVMPv62lrkrazl6cAKnj0smO8Xehq9KRERE9kdHCGZA4YyItI2O8J6n9zsRaYmGcJROS8cHhEyT1VvdzFtZx/INDQSbjLp45UkZUXOdATR6Qyz5sZ6Fq+tZW+Bptj67FfzB5ttJjLUyZXj4wqyzSSjXken4kD3R8SG701bHhi8Q4ovV9by/tLrZ8IwOm0EgaDJpeAInjUni5qe3kZpg5ZyJqVQ3BBneM4akOAufrqjj029rafDufPM/Zkg8Pz8585C2vSvTe0fHoiEc296XX37JzJkz97rc2WfP5Pbb74oqu/PO25g9e1artnPVVdfyi19cF1V2/fVX89ln81tVP++o60gbcEpU2bp3r8ddub5V9XtN+ROJ3cdHla2edTEBd2Wr6r/44msMGTIsqmzUqEGtqgswZ84CMjOzIo9LS0s48cRJra7/7bc/RD1evXoVF144o1V1MzIy+Pjjz6PKFiyYyw03XNOq+oMHD+Gll2ZHlb322ivcffefWlX/uOMm88ADj0SVPfzwgzz66EOtqt/ex96tt97BjBnnRZVdcMHZrFmzulX1D/TY63fa/cSm9Y8qW/nsqa2qCx3n2Ntxob02fzGb593Rqvoxqf3of/oDUWUVP35AwVcPtqp+Qrdx9D7+z5HHz/6mzz4de6n9T6bbhOujyrYteoDKdR+2qn7miAvJHnVxVNmmuX+mbtuSVtU/0GPv/vv/y6RJx0eVTZt2LGVlZa2qr/c9ve81pfe9fTv2moaL7fW+tyNcPJyOvfb+vnegx97gGc9hj02LPPY3VrDmtUtaXb893/eGDx/Ohx9+GHVe3N7ve9XVJfTv369V9XelM0qRTqi2McgXq8Pz4pRUR194tVrgyP5xkSEcGzxBlm9oZNm6BlZtceMP7j5T3zU8c9oNxvSN48qTMrBZNUyjiMjB4rBZOH5EIpOHJbBsfQPvLq1mc0l4aEdfIPw+PW9lHd9saASgsi5IWY2fN7+qZtYXkJdmZ+LgeP54Xg4rNrn58OsaahuDTB+XHLWdUMjEYtH7t4iISGu8saiKRe7oXhKbNja2uv5Tn5Tz9tbo+js+30VEREQ6g0Ag2KluKlWAJtJJBIImKzY18sX3dXy7qTGqtxlAZpKNycMTOW5Y+O74r9c38NrCSlZvdRNqITPrke5ga3n4ZC7GYcHtC2EQHmJs4uB4+uU4yU6xa34zEZFDyGIxGDcgniP7x7F2m4f539WxdF1D5GaHHcPoAny6sjby/4IKP7O+qGLWF1V0z3Bw+rgkkmNt5KQ6otb/5ldV/FjgYfr4FIZ0d+k9XURERERERERkOw3hKJ1WVzk+tpR6+fz7Ohb9UE+dOzo1sxgwum8sU0YkEOu08v2WRlZt8bQ4POMONivccVEe3dOd/PaJrTR4Q3RLs3P0kARG94klKa5z5O5d5fiQ/aPjQ3anIxwbDZ4gi36o58s19awv8ra6ntUCI3vHMnVUIsN6xuL2hfjN4+H3ebvV4N8/70FCjPUQtrzz6wjHh+ykIRzbXnufH7akI82p0pHaIi3rSL+jjtAW6FjtUVta1hn/rjvzd6qOdMyoLdHa8m9pX47xjrRv1JZoakvLOuLn0oGcG+qMUuQwVNsY5Ms1dXz+fT355c2H/MhKtjGmbxwp8VZWbm7k32+WEAi1sKIWBIIQ3N6h4Q/n5pIcb8WiHgkiIh1GnMvK1FFJTB2VRGVdgKXrGli2roH1RZ5mvY+bCoZg+YZG6hqDrMn34PGFSIqz0uANMXl4QrPwzDRN9UgTERERkTbXGYMzkaZ0jIscPhSgiRyGlq5r4MUF0ZNW2q0G8S4LibFWymv9fPB1TavX57Ib9MpyctywBIZ0jyE1IfzWsOOniIh0TKkJNk4ak8RJY5Jwe0Os2ebmu81u1m5zs63C32KddUVe1jXpuWYAn6+uZWOxl365TvLSHMQ5LcxaWMWJoxM5dmgCTruljV6RiIi0hY50d3JHaouIiIiISFO6Oi7SgYVMk/WFXpx2g56ZToIhk8IKH7mpdiwGhExw2gy8ARN/0KSqIUhVk/lwmrLbDFx2A3/QpE+2i77ZTvpkO+md5VRQJiLSCcQ4LYzpG8eYvnEANHpDbCz2sKHIS365j61lXoqrAs3qmYDHBxuKvWwojh4S8tm5FTw/r4LsFDsjesXSOzs8/2V2sp0Yp0I1EREREWmuIwTjoHBc9o+OXxFpSlfNRTqoilo/f36pkJqGILmpduw2g62lPnadtNAb2P00hmdPTGF0n1iS460kxdqodweJdVk0JKOISBcQ67QwrGcsw3rGRsp8/hBby32s2NjIqi1u3N4gZbVB/MHdf5aETCis9FNYGd2zOSnOSnayPRyoNfmXlWzHZtXnjIiIiIh0DB0hEFEYIiJyeFKAJtIOTNPE4zepbQhS3RikvMZHfrmf/HIv28r91DYGo+axKaxseRiuXcU6LfTLcTKidyx9s530ynJitey8iBm/y/w2IiLStTjsFvrluOiX4+Kco8NloZDJD9s8fLmmjq83NNLgad2kmTUNQWoagqwt8ESV260G3TMc9Mpy0jvTQe9sJ7mpDoVqIiIiIiIiInJYUYAmcpCETJMGT4jaxvAFxdrG8L+aXX7WNgaprg8QaN31ySgGEO+y4A2YWCzQI8PJkO4uBuS56J3lJM6lgExERPaNxWIwpEcMQ3rEcHkwxGer6vj8+3oKK324feGeaYYR/vypc+/9w8sfNNlY7GVjk+Egm4ZqfbLCQwjnptqxWBSqiYiIiIiIiEjHpABNZA8CQZM69y5BWAvhWG1jkDp3dK+xgyXGYXDtaVnkpjlITbBiMQwaPEFinRYMDcUoIiIHkc1q4fiRSRw/MikyD+fX6xvw+kNcMCmNX/x3M4GWp9rEbjWwWsBhM6j3hAg1GRWyaag2d3uZy2HQe3uYtmNuTs3JKSIiIiIiIiIdha5SSJcTCpnUNAaprAs0C8FqGoPUNuwsq2/lMFYHk8WAbukO+uU46Zvjityl3zQsU08zERE51CyGwYC8cC/nHf5zdS/WFrgprPDx6udVUfNy+oMm/iB4/CYp8VbOPy4Vj89kc4mXDSUetpX5o0I1j89kTb6HNfkeIDy/WkqcNRyo5YRDtd5ZTmKdlrZ5wSIiIiIiIiIiTShAk07FFwhRVR+kqj7AqoIAFbV+8osbqKoPB2ZV9QGqG4JRF/AOlMtukJJgI8FlwW4zCARNNpd68e5l2jKbBYIhSIy1MLBbDP1zw2FZzwwHDrsuFoqISMcT67Qwuk8cQ7rHkBxnY9n6BlZuasS/S6+0qvogD79fRl6anZtn5PDGoiqqaoP0yHQwrGcshZU+NhZ7KazwR4VwVQ1Bvt7QyNcbGoHw0MU5qfbtvdTCoVqPDM2nJiIiIrKrS/+1sb2bwLO/6dPeTRARETmoFKDJYcE0TRq94XCssj4chFXVhYOy8ONwQHYweowZBiTGWEmMDf9LirWSGLf9Z5OyF+ZXsLbAQ8gMzwuzsdi713nNkuKsjOkby9h+4YuP/oBJjO6sFxGRw4zTbuHoIQkcPSQBf8BkzTY3S9bWs3RdQ2TeNIB6T4jEWCvfb3VT5wnx/VYPdqvBBZPSyE6x4/aZLFtXT365n7JqHxtLfFQ37EzjTKCw0k9hpZ8vVtcD4aEie2Q66Ls9VOub7SIz2aZhjUVERERERETkoFKAJu0uZJrUNgajeok1/X/l9h5lXv+BdRuzWw1S4q2kJthIibeREm8lOd5GYoyVpCYBWbzLgsUSvgg3d0Ut64s8VNb5Gdo9hg3FHvrnushMskXmafEFTNYVene73YQYC/1yXBwzNJ6x/eKwNLnApzvoRUTkcGe3GYzoFcuIXrH834kmBRV+Vm5uYNUWDxlJNoIhyEi0UVIdAOCHbR5uenobaQk2Bnd3UVDhZVOJn1inhdvOzyXGEb4pZUOxh43FXjYVe/E0+Q7gD5psKPKyoWjnZ2+c07Kzl1qOk25pDtISbVGfuSIiIiIiIiIi+0IBmhw0oZBJIGTi8YV7izV6g9t/hv81eELUucPzi9U1nXOsMUjwADuOxTotpMZbSYm3bQ/IrPTIiSct0Y415CMl3ka8y9Ls7nTTNCmtCZBf5sPjC5GXZqe6IcjmUi+bS3x88HU1nu130i/5MTyc1OK1DdR7gpwzMYU6d5CsZBvzVtYR77JQ6w5htxkMyHUxbkAcI3vHRoI2ERGRzs4wDLqlO+iW7uDUI3aWXzg5nQ+/rmblZnekh1lFXSDSqwyg0Rvilme2kRgbngdtUDcXvTKd5KbYyU6xY7NayC/3srHYS365L+q7Q4M3xHdb3Hy3xR0pc9gMsrfXzU21k5VsJz3RRlqijeQ4m25iEREREREREZE90pV92Sdub4j/vl/CxmIvwRAEQ2b4XxAO4rRiEQbhYQ9T4m2RgCwloen/raTG23C2MGdYRkYCAGVldQRDJiXVAUxMclIckWVME/747DZ8AZOkWCtPfwI1jcFm62qqqCo8uVmPDCfHj0zCNE3OPy6N6oZwT7l+OS5dlBMREWmiW7qDn52USb07wOIfG1i1xc2afA+N3uZ30NQ2Bvl2YyPfbmyMKu+T7aRnpoMJg+M5I8FGRV2A4ho/NfVBtpb5KK0JRC3vC5hsLfOxtczXbBuGAclxVtISwoFaUqyVeJeVWJeFOKeFOJeVOJeFWKcFp93AZjWwWbb/tBpYLWjISBEREREREZFOTgGa7JMfCtys2OTe+4KtEOu0ROYTS2khHEtNCF/Qam0Y5QuEqKwL4rAZUb2+ahoC3PDYVkIm9Mhw0CPDQUGFn1//JIvEOCtZSTbyK/y7Dc4SYyz0yXHRK9OB12/ywdc1dEuz4/GHL/oZhoHTbpCVbCEr2X7gO0ZERKSTio+xccLIJE4YmUQoZJJf7uObjY2s2NjA1jIf/j3cw7KxONz7rCX9c5385sxsymoDbC7xsrkk3Eutqj7Q4jpNE6rqw8NHry/a/TDMuxPjMLj0+HSOHpKwz3VFRERERERE5PCgAE32ydDuMUwcHE9+mQ+rFawWY/u/nf+PcRjEOi3EOq3bf+78l7A9MEuIsWK37dud21X1ATaVeKltDDK4WwxZKTvDqg1FHu54qRCAiYPi6ZXloLyhmi0lHraUuAlt7x7X9E70v71WRGVdIGpelV2df1wqpx6RHHns9oY49YgkkuL0pyMiInIgLBaDnplOemY6OfOoFEKmybZyH6u3hj+3M5PsbCrxsq7QQ0m1n6r63adr6wq9FFT46JXlZHivGOauqOXrDeEebMlxVi6clIbbF6KyLsCWMi+rt7oJhiAU2r8e9G6fyVdr6xWgiYiIiIiIiHRiSgFknzjsFq4+JZOyGj9vLKrCBEb3iWXcgPio5R75oJQGr5+8VAfHj0yMeu71hZVsq/BhMQyum54V9dx7S6tZsKoOrz/EzTNyyEndOdziyk2NPPFxOQBTRiSQlmDDHzA55+hUkuOsO5fb0siXP9SzN4WV/hbL0xNt9Mx00C/Hxeg+sVHPxTgtxDibDxcpIiIiB8ZiGPTIcNIjwxkpO6J/HACVdQH+9lohxVWB3VXnwXdLAfj3lT0or925XHVDkNw0O3lpDqwWg1VbGvl2487e9IYB8S4L8S4rDrvBltLwjTbxMRa6pzmwWMJtw4B1BW48/vB3nzMnpBzU198RhUwTn9/EFzBx2o2oIbN9/hAFlX6CwfBw3jt6+se5rHtYo4iIiIiIiMjho1MFaE/MKWPpugYsRviuZotB1P8Nw8BigdOPTObYoTvvGC6p9vPUJ+XYIr2owGrd2bPKtr1nVZzLwjlHp0Ztc/HaeirrA1gtxvblouvuKO+R6SAlfufudntDlNcGonpx2Vqou6P9B5MvEMI0wxeMLIbB9mtC4Z+tnM+jzh3ii9XhkColzsa4AdHPL15bTzAEA/OCUReYQqbJmnw3PxZ6sRiQX+aj0RskxmEhJcFGRW2A4u1zjD36YRnBoEmdO0i9J4QvsPMe8Xkr64Bwu+d/V8eQHi5G9IohNcHGtnIf6917H47JaoGcFDs9M530yHTQMyM8t4ou/IiIiHQsqQk2/vHTHtS5g2ws8rKp1BsZqrGySc+0GIdBSryVMX3j2FjspbjKj9sX4tbnCrAY4fW4HNHfdUwz/L2mzh09H1u9O8SabZ4W27Ou0MMbi6r4zZnZUeWzFpTi9gaxG0GmjkqKem5zqRd/wMRuM7BbDRzbf9ptRuQ7347vqju+o+2rYMjE4wvh9oVwe83wz8jjEN6Aycljotv1/rJqVm524/WH8PrCy3h8Ibzbg7Mdzj0mldPHJUcel9YE+NMLBVHrumVmDoO7x+xzu0VEREREREQ6ok4VoLl9oRYno9/Vrss0eEKs3rr3eb1S4qzNArS5K2p3e3GlqatPyWTi4J29tH4s8PDPN4v3Wq9XloM7L+oWVfbHZ7dRXOWPusBibA8LjSb//+XpWfTPdUXqLfmxntcXVlFVv+dhC2HHunZevAmGopd32Hde1Fn0Qz0bij1sLPZitxlkJdvZcc2nsj7Arx7fQk1DkOAuv5qQCX98bttu27C7eU6aMoGaxiDVDUFumZkLwJp8N/XuIC99XkV5jZ84l4XsFDu5qXZyUhzkptnJSbWTkWhv9fxqIiIi0v4SYqyM7BPLyCY9xGsaAmwu9bG1LBxQGYbBgDwXfzg3/L3gtue3saXUR8gkqmfaruxWA3+wdQM61ntClNX42VjsIc5pjQwr/f6SCoorfaQmWBk3IB7r9g5bIROe/LiMzSW+fXq9O25yYvvPjCQ7fbOdDOkRE7kZ7Jr/biYQMvH6TcxWNH/lpkZ+f05O5HFRpb9V34N3/S5obaFDfmu2LyIiIiIiInK46FQBWmaSnV5ZjvB8Fma4t1MotP2nSeT/u955HAq17mzf2kLYEmhlXdsunZpaW89C8236g2b4Ak/khuuW1xXc5SJQgydEUVXLwxbuKmSGVxvczbo9vp3lFXUBKurCF6S8fpM4Z4j7f94TgA+/ruGdJdWt2ubeJMRYGNM3juQ4KynxNjKSbDzzaTk2q0F64s5Decedz2OHpJEYa6W+tvGgbF9EREQ6nqQ4GyN72xjZO7bF548ZkkD3dC/ltQHKa8PfWVoKen59ZvjGo3pP6P+zd9/hTRz5/8Dfs5LlXnDBYGPTbTC9t1ADJCEhlZKQzv2A9FzaXXou5ZvkLndJSO+NNEpIgUAKoVdjuunYBmMD7r2p7Pz+EJYtJBu5rmy/X8+TJ9LsjPaj1SB597Mzg6IyC3YcLcavOwtq3G96jgn/+vYM+nb2tiWkSiusf5zlF1tw3wenGvzepDz/V975eM/lmXAuzwSDh7Al0MqMqsNNSrWpMNlX9vQQELDeHOXlodimaqz8v5eHdZRcRIjBrp2ftw5XDgu0zbagKEBYYKs6tSAiIiIiIqI2rlWd5c4aG4xZCL54xQv0iPDClw91hUW13l2rqtYEl0WV1rLzazs4yWVhzvgQFJer1roWaXsN8wVtq6/nAViTfZcNDjy/DwmLBVWPz+9fVSXCgzwc9tmlvQH+3gpUef7CigTk+SRhZeJQSsDTYH9rsKeHQLCfDqUVKsyq/V3KlY8lrOuAdAo12F5blRJJZytwYc6v+sySlRd3wtt5oEM7D/h7WzOGIQF6dGjngcJSC8wWaTeyTaezTo+p1wn4e+sQGqiHXmedzkivs05lFOCjg5+XDl4GBWGBersRdQDw379F1/i5hrezXui5+GpoRERE1FpddsGUhWaLRF6xGTmFZmSdT6oVlFoQHuRxPnGkIMRfjyMuzDAAWKfcrvTa/B4oKbfgiU+SUHGR0f6AdS01D72AxSKhwpogO1vDGq3VlVWbTaFruCdUab2hKTrUYF2v1aDAyyCwL6UUZov1b6/KaSI7XZAIu3FcCG6eEOLyNN6V/L11mD02pE5tiIiIiIiIiFqSVpVAawghBPQ61HlKv+4dvS5eyYmoMANunlC/iw73XBler3aje/tjdG//i1dsRJP6B2BS/4Bm3ScRERFRTfQ6gbBAD4QFeqBXLfUmDwjA8J6+KK2oWkes3Kii3ChtjytMEh2Dq252im5v/btwdC8/lJukbdpD2/pmAlAU641EigCuGdkOwf5Vf46nZFTgeHo5DB4CBr0Cg17A4CHgqRfw0CvwNgh4GxR4e1bdJPXsTZE1voebJ7h2PIiIiIiIiIjIERNoREREREQX0OsEgv31CK7HvUd3Tgmr1z67hnuia7jnxSsSucBsNuPrr7/GkiVLkJaWhrCwMFx//fWYP38+PDwcZ7kgIiIiIiIie06W/yYiIiIiIqKW7IUXXsArr7yCoKAg3HbbbQgPD8dbb72FRx55ROvQiIiIiIiIWgSOQCMiIiIiImpFdu/ejcWLF+Oyyy7DwoULIYSAlBKPP/44fvrpJ6xbtw4TJ07UOkwiIiIiIiK3xhFoRERERERErcg333wDALjvvvsghHWdOyEEHn74YQghsHTpUi3DIyIiIiIiahGYQCMiIiIiImpFEhIS0K5dO8TExNiVh4eHo0uXLti5c6dGkREREREREbUcTKARERERERG1EkajEefOnUN0dLTT7ZGRkSgsLERubm4zR0ZERERERNSyCCmlrG9jVZUwmy2NGU+dGAzWJdyMRrNmMZD7Yv+g2rB/UG3YP6gm7BtUG/YP96LX66AoQuswml1mZibGjh2LSy65BJ9++qnD9r///e9YvXo1/vjjD3Tu3FmDCJsH/x0SEREREWmn8vy4pWvQu1AU4RYHwh1iIPfF/kG1Yf+g2rB/UE3YN6g27B+kJbPZmjgyGAxOt1eWV1RUNFtMWuC/QyIiIiIiaihO4UhERERERNRKeHl5AQBMJpPT7UajEQDg7e3dbDERERERERG1REygERERERERtRJ+fn5QFAXFxcVOtxcVFQEA/P39mzMsIiIiIiKiFocJNCIiIiIiolbCYDAgIiICaWlpTrenpaWhXbt2CAoKat7AiIiIiIiIWhgm0IiIiIiIiFqRIUOGICsrCykpKXblGRkZOHXqFAYOHKhNYERERERERC0IE2hEREREREStyLXXXgsAeOONN6CqKgBASonXX38dUkrMnj1bw+iIiIiIiIhaBiGllFoHQURERERERI3noYcewqpVq9C/f3+MGDECe/bsQUJCAi677DIsXLgQQgitQyQiIiIiInJrTKARERERERG1MiaTCR999BF+/PFHZGRkICIiAldffTXmzZsHg8GgdXhERERERERujwk0IiIiIiIiIiIiIiIiomq4BhoRERERERERERERERFRNUygEREREREREREREREREVXDBBoRERERERERERERERFRNUygEREREREREREREREREVXDBBoRERERERERERERERFRNUygEREREREREREREREREVXDBBoRERERERERERERERFRNUygEREREREREREREREREVXDBBoRERERERERERERERFRNUygEREREREREREREREREVXDBBoRERERERERERERERFRNa0ygfb1118jNjYWhYWFWodCGjCbzfjiiy8wbdo09O/fH5deeineffddmEwmrUMjN5KRkYEhQ4bgiy++0DoUciNZWVl49tlnMX78ePTt2xdjxozBo48+itOnT2sdGrmBvLw8vPTSS5g8eTL69++PadOm4ZNPPoHZbNY6NHIz//73vxEbG4sdO3ZoHQpRm8NzgYZ74403EBsb6/S/hx56yK7uTz/9hGuvvRYDBw7EuHHj8Morr6CkpMTp665fvx6zZ8/GoEGDMGrUKDz55JPIyclpjrfkdi52LtJUx3XPnj244447MGzYMAwfPhwPPPBAm/k7t7ZjvnTp0hr7/KxZsxzq85g7V5dzKfbxxuHqMWcfbxx1OR9kH28crh5z9vHGV9s5bVvr33qtA2hsCQkJeO2117QOgzT0wgsvYPHixRgyZAgmTZqE3bt346233sLRo0fx1ltvaR0euYGSkhLcf//9KC4u1joUciNZWVmYOXMmzp49izFjxmDatGlISUnBypUrsWnTJixevBhdunTROkzSSHFxMebMmYPk5GRMnDgRU6ZMwe7du/Haa68hISEB77//PoQQWodJbmD//v348ssvtQ6DqM3iuUDDHT16FAaDAfPnz3fY1rNnT9vjDz/8EK+//jpiY2Nxyy234NixY/jiiy+wb98+fPXVVzAYDLa6K1euxCOPPIKoqCjcdNNNOHv2LH788Ufs3LkTP/zwAwICAprlvbmDi52LNNVx3blzJ+68804EBgbiuuuuQ1FREVauXIkdO3bghx9+QKdOnZr8vWvlYsf86NGjAIB58+bB09PTbluHDh3snvOYO1eXcyn28cZRl2POPt5wdTkfZB9vHHU55uzjjau2c9o22b9lK7Jy5Uo5YMAAGRMTI2NiYmRBQYHWIVEz27Vrl4yJiZH333+/VFVVSimlqqryH//4h4yJiZFr167VOELSWlpamrzuuuts3xOff/651iGRm3jmmWdkTEyM/Oyzz+zKf/75ZxkTEyMXLFigUWTkDv73v//JmJgY+eWXX9qVP/zwwzImJkauW7dOm8DIrVRUVMirrrrK9huzfft2rUMialN4LtA4Jk6cKK+99tpa66Snp8u4uDg5e/ZsaTQabeVvvvmmjImJkYsWLbKVFRcXy+HDh8tLL71UFhUV2cqXLl0qY2Ji5Kuvvtr4b8JNXexcpKmOq6qq8rLLLpNDhw6VZ8+etZVv3bpVxsbGyvvvv78J3q17cOX875ZbbpHDhw+/6GvxmNfM1XMp9vHGU5fzV/bxhnP1fJB9vPHU5Rycfbzx1HZO21b7d6uYwjE3Nxf33XcfHn74YQQHB6Nz585ah0Qa+eabbwAA9913n+0uBCEEHn74YQghsHTpUi3DI4198cUXmD59Oo4cOYKRI0dqHQ65mTVr1iA4OBi33367XfnVV1+N6OhobN68GaqqahQdaS09PR0dO3bEnDlz7MqnTZsGwDrVANEHH3yAlJQUjB49WutQiNokngs0XHFxMdLT0xEbG1trvcWLF8NsNmPBggXw8PCwld91113w8/OzO9a//vor8vPzcccdd8DPz89WPmPGDHTt2hXLly+HxWJp/DfjZlw5F2mq47p161akpKRgxowZdnfijxo1CmPGjMGaNWuQl5fX2G9Zc66e/x07dgwxMTEXfT0e85q5ei7FPt546nL+yj7ecK6eD7KPN566nIOzjzee2s5p22r/bhUJtOPHj2PNmjW4/vrr8dNPPyE8PFzrkEgjCQkJaNeuncOXZnh4OLp06YKdO3dqFBm5g6+++gqRkZH4+uuvcc0112gdDrkRi8WCBQsW4L777oOiOP40GgwGmEwmrp/Shv3vf//D+vXrodfbz36dnJwMAAgNDdUiLHIjR44cwUcffYQFCxagR48eWodD1CbxXKDhjhw5AgAXTaBVHsthw4bZlXt6emLgwIE4cuQIioqK7OqOGDHC4XWGDx+O/Px8HD9+vMGxuztXzkWa6rjWVnfEiBGwWCzYtWtXPd+Z+3LlmJ87dw75+fkX7fMAj3lN6nIuxT7eOOpyzNnHG4er54Ps443H1WPOPt54LnZO21b7d6tIoEVHR+Pnn3/GK6+80qbmTid7RqMR586dQ3R0tNPtkZGRKCwsRG5ubjNHRu7i+eefx08//YTBgwdrHQq5GZ1Oh9tvvx0333yzw7akpCQkJycjOjraYS5tapuklMjJycE333yDt99+GxEREbj66qu1Dos0ZLFY8OSTT6Jz585YsGCB1uEQtUk8F2gclWuI5OXl4c4778SwYcMwbNgwPPDAA7YLVgCQmpqK0NBQuzuKK0VGRgIAUlJSAMC2+HtUVJRD3cr1LCrrtmaunIs01XGtrW7l6548edLVt9JiuHLMK/u8yWTCvffei1GjRmHQoEH429/+hv3799vV5TF3ri7nUuzjjaMux5x9vPHVdj7IPt40ajvm7OONw5Vz2rbav1tFAq1jx44uZZmpdcvPzwcA+Pv7O91eWV6ZCae2Z+zYsdDpdFqHQS2Iqqp48cUXoaoqZs2apXU45CYWLlyI0aNH44UXXoC/vz8+/fRTBAYGah0WaejTTz/F4cOH8dJLL9ktmkxEzYfnAo2j8iLUp59+Cj8/P8ycORP9+/fH77//jlmzZuHw4cMArMf7Yse6uLgYgDUZZzAY4OXl5VC38gJMZd3WzJVzkaY6rpX/PpzdcFxZtzX+23DlmFf2+e+//x7l5eW4/vrrMWbMGGzbtg1z5szBpk2bbHV5zOvG2bkU+3jTcnbM2ccbX23ng+zjTaO2Y84+3jhcOadtq/1bf/Eq2pg0aRLS09NrrXPzzTfj2WefbaaIyN2ZzWYAqPEfeWV5RUVFs8VERC2XlBLPPvsstm3bhr59+zrMLU9tV2RkJObOnYvTp0/jr7/+ws0334xPPvkEffr00To00kBKSgreeecdzJkzB4MGDdI6HKI2i+cCjUOn0yEyMhKvvPKK3TQ6v/zyCx577DE8+eST+PHHH2E2m10+1nWp29Y11XGtnIbcWf3KMqPR2IDIWy5VVREZGYm///3vdjMKxMfH44477sATTzyBv/76C56enjzmdVDTuRT7eNOp6Zizjze+2s4H2cebRm3HnH284Vw9p22r/dttE2iTJ0++6PQa/fv3b6ZoqCWozGjXtEZR5T80b2/vZouJiFoms9mMZ555BsuXL0dUVBTee+89jiohm5kzZ9oer1+/HnfddRf++c9/YsWKFRBCaBgZNTcpJZ566imEhITg4Ycf1jocojaN5wKN47nnnnNafvXVV2PJkiXYuXMnkpOT4eXl5fKxrkvdtq6pjmtt/z7a+mdw11134a677nIoHz58OKZPn46ffvoJ8fHxGDt2LI+5i2o7l2Ifbxq1HXP28cZX2/kg+3jTqO2Ys483TF3Oadtq/3bbBNqTTz6pdQjUwvj5+UFRlBqn/6gc6lnTUFMiIgAoKyvDgw8+iA0bNqBLly74/PPPER4ernVY5KYmTJiAUaNGYevWrUhNTUXnzp21Doma0TfffINdu3bho48+gq+vr9bhELVpPBdoenFxcdi5cyfS0tIQEBBQ41Q6Fx7rgIAAVFRUwGg0OtyQVPl58XOxaqrjWjklUlFREUJDQ2utS1Xi4uLw008/IS0tDQCPuSsudi7FPt74GnL+yj7ecBeeD7KPN726nIOzj19cXc5p22r/bhVroBEB1iGdERERti/FC6WlpaFdu3YICgpq3sCIqMUoKCjA7bffjg0bNiAuLg7ffvstIiIitA6LNGY2m7F161Zs2bLF6fbKPpKXl9ecYZEb+P333wEA8+fPR2xsrO2/r776CgBw2223ITY2tsa/TYio8fBcoOHMZjP279+Pffv2Od1eXl4OAPD09ESXLl2Qk5NjK6suPT0diqLYLmh16dIFAJx+NpVlXbt2bYy30OI11XHlZ1CzgwcPYufOnU63VU4t5enpCYDH/GJcOZdiH29crhxz9vGGq8v5IPt446jLMWcfb5i6nNO21f7NBBq1KkOGDEFWVhZSUlLsyjMyMnDq1CkMHDhQm8CIyO1VVFRgwYIF2LdvH4YPH45FixYhJCRE67DITdx111149NFHYbFYHLYdOXIEQgh06tRJg8hIS9dddx3uu+8+h/8GDBhgt93ZYshE1Ph4LtAwqqpizpw5mDdvnsPvnZQSe/bsgV6vR+/evTFkyBCoqoqEhAS7ehUVFdi7dy969OhhW/R9yJAhAOD04taOHTvg7++P7t27N9G7alma6rjWVjc+Ph6KorTZJTLuvfde3HbbbU6XENm1axcAoG/fvgB4zGvj6rkU+3jjcfWYs483DlfPB9nHG4+rx5x9vGHqck7bVvs3E2jUqlx77bUAgDfeeAOqqgKwnuy9/vrrkFJi9uzZGkZHRO7s9ddfx549ezBo0CB8/PHHth99Ir1ejylTpiA3Nxeffvqp3bZvv/0WiYmJmDBhgsNUA9T6XX/99bj//vsd/qt+snH//fczgUbUTHgu0DAGgwETJ05EQUEBPvroI7ttn332GY4dO4arrroKAQEBmD59OnQ6Hd555x27Rd0/+OADFBcX2x3ryZMnw9fXF5988gny8/Nt5cuWLcPJkycxc+ZMKAovTQBosuM6fPhwREREYPHixXZ3d2/btg1btmzBlClTEBwc3PRv0A1dfvnlUFUVb7zxBqSUtvLVq1dj/fr1GDZsGGJiYgDwmNfG1XMp9vHG4+oxZx9vuLqcD7KPN466HHP28YapyzltW+3fQlbvWa3Erbfeivj4eOzcuZMXLNqghx56CKtWrUL//v0xYsQI7NmzBwkJCbjsssuwcOFCCCG0DpHcwPLly/HEE0/giSeewB133KF1OKSxrKwsTJw4ESaTCTfccAM6duzotN78+fNtQ/+pbcnIyMCsWbNw7tw5XHLJJYiJicHhw4exbds2dOrUCd9++y3XyiOb//u//8NXX32Fr776CiNGjNA6HKI2hecCDZOWloYbb7wRWVlZGD16NHr16oXExETEx8eje/fu+Oabb9CuXTsAwH//+198/PHH6N69OyZOnIgTJ05g/fr1GDx4ML788ku79S6+++47/Otf/0LHjh1xxRVXICMjA6tXr0Z0dDQWL17c5qbWrO1cpKmO6/r163HPPffA398f06dPR2lpKVasWAE/Pz8sWbIEUVFRzfTutVHTMS8sLMSNN96IpKQkDBgwAEOGDEFKSgrWr1+P0NBQfPfdd3bHhsfcUV3PpdjHG64ux7yiooJ9vBHU5XyQfbxxuHrM+T3eNGo6p22L/ZsJNGp1TCYTPvroI/z444/IyMhAREQErr76asybN89h0UJqu5hAo+rWrFmDe++996L1+LvStmVlZeGtt97CunXrkJeXh/bt22PKlCm4++67bRcTiQAm0Ii0xHOBhsvIyMDChQuxceNG5Ofno3379rjssstsFzUqSSnx7bff4ttvv0VqairCwsIwZcoU3HfffU4Xel+1ahU++eQTnDhxAoGBgbjkkkvw0EMPoX379s359txCbeciTXlct27dinfeeQeHDh2Cj48Phg4diocffti29khrVtsxLywsxDvvvIM///wTWVlZCAoKwoQJE/DAAw84PY485vbqei7FPt5wdT3m7OONw9XzQfbxxuPqMWcfb3w1ndO2xf7dKhNoRERERERERERERERERPXFicaJiIiIiIiIiIiIiIiIqmECjYiIiIiIiIiIiIiIiKgaJtCIiIiIiIiIiIiIiIiIqmECjYiIiIiIiIiIiIiIiKgaJtCIiIiIiIiIiIiIiIiIqmECjYiIiIiIiIiIiIiIiKgaJtCIiIiIiIiIiIiIiIiIqmECjYiIiIiIiIiIiIiIiKgaJtCIiIiIiIiIiIiIiIiIqmECjYiIiIiIiIiIiIiIiKgaJtCIiIiIiIiIiIiIiIiIqmECjYiIiIiIiIiIyEVpaWmIjY2t8b9evXphwIABuPTSS/H3v/8dBw4c0DTeHTt2IDY2FiNGjGjU1zWbzbjhhhswZ86cBr1OTfFNmjQJsbGxWLduXYNevya33norYmNj8fXXXzfJ61dX2TeOHTvW5PuqLi0tDf369cMHH3zQrPslImot9FoHQERERERERERE1BL17dsXBoPBrkxKiby8PKSmpiItLQ2///47/ve//2HatGkaRdk0Pv74YyQmJmLJkiVah0I16NSpE2655Ra88847mDRpEmJiYrQOiYioRWECjYiIiIiIiIiIqB4WLlyITp06Od12+vRpPPTQQzhw4ACeeuopjBkzBoGBgc0cYdM4c+YMPvjgA0yZMgUDBgzQOhy3t2rVKgBAVFRUs+97wYIFWLJkCV588UUsWrSo2fdPRNSScQpHIiIiIiIiIiKiRhYVFYU33ngDer0epaWl+PXXX7UOqdG8/fbbKC8vx/z587UOpUXo3r07unfv7jBasTkEBQXhxhtvRHx8PDZs2NDs+yciasmYQCMiIiIiIiIiImoCUVFR6Nq1KwAgOTlZ42gax5kzZ/DLL7+gV69e6N+/v9bhkAtmzJgBAHj//fc1joSIqGXhFI5ERERERERERERNRAgBwLo22oVOnz6Nr776Ctu3b0d6ejqMRiOCgoIwYMAA3HrrrRg5cqRd/ccffxw//vgjFi5ciC5duuDdd9/Fzp07UVJSgujoaEyfPh1z5851eaTTSy+9hEWLFsHf3x+fffaZSwmxJUuWwGw246qrrnK63WKxYOXKlfj1119x6NAh5Ofnw2AwICoqCpdeeinuvPNO+Pv7uxRfXUkpsWLFCixbtgzHjx9HUVERIiMjMXnyZNx111017jchIQEffvgh9u7dC7PZjK5du2LmzJm48cYbbZ9fdevWrcPy5cuxf/9+5ObmQq/Xo0OHDhg3bhz+3//7fwgLC7OrHxsbCwBYsWKFbR2y+n6WOTk5+Oijj7B9+3akpqZCCIGoqChMnDgRd9xxB4KCghzi7dq1K/r06YM9e/bg6NGjtniIiKh2TKARERERERERERE1geTkZBw/fhwA0K9fP7ttmzdvxr333ovy8nL4+/sjOjoaFRUVOH36NNasWYO//voL//3vf50mqrZv345HH30UgDU54u3tjRMnTuCNN97Avn37XBpp9Oabb2LRokXw9fXFJ5984vJosj/++AMAMHbsWIdtJpMJd999NzZt2gQAiI6ORnh4OM6dO4cjR47gyJEjWLNmDZYtW9bo0xkajUb8/e9/x19//QXAOvqvffv2SEpKwieffIKNGzfiu+++g5+fn127lStX4v/+7//g6emJrl27IiMjAwcPHsTBgweRlJSEp59+2q7+U089hWXLlgEAIiIiEBMTg+zsbCQnJyM5ORmrV6/Gzz//jHbt2rkUd10+y5ycHMyYMQNnzpyBr68vOnfuDLPZjBMnTuDIkSNYtWoVli5d6nStvTFjxuDgwYP47bffmEAjInIRp3AkIiIiIiIiIiJqZIcPH8YDDzwAKSU6deqEK664wrbNaDTiiSeeQHl5Oe644w5s3boVP/30E1avXo3169dj9OjRkFLivffec/ra3333HcaMGYP169djxYoVWLduHZ566ikAwNq1a7F///5aY/vss8/w/vvvw8fHBx9//DEGDhzo0nvKyspCUlISfHx8nCZhvv/+e2zatAmhoaH4+eef8eeff+KHH37Ali1b8Oabb0Kn0+Ho0aNYs2aNS/uriw8//BB//fUXQkJC8M0332DNmjX4+eef8fvvvyMmJgbHjh3Dq6++6tBuz549uPLKK7Fx40b8+OOP2Lx5M+bOnQsA+Prrr5GZmWmru3btWixbtgw+Pj748ssvsW7dOvzwww/YsGEDFi1aBB8fH2RkZNgSbK6oy2f5ySef4MyZM7j88suxefNm/PTTT1i5ciV+++03dO7cGadOncLXX3/tdD+DBw8GAOzYscPl2IiI2jom0IiIiIiIiIiIiOrhwQcfxE033WT33w033ICxY8fi2muvxfHjxxEdHY2PPvoInp6etnaJiYkoLS1FeHg4/vGPf9iNxgoNDcW9994LAEhJSYGqqg77DQoKwsKFCxEaGmoru+222xAdHQ0A2Lt3b40xL168GP/+979tybMhQ4a4/H537twJAOjWrZvTqQ23b98OnU6H+++/H7169bLbdsUVV2D48OEAgKSkJJf36Qqj0YjPP/8cAPDKK69g6NChtm2RkZF4+eWXAQCrV6+G0Wi0a9ulSxe8+uqrCAgIAAAoioKHHnoIAQEBkFJi3759trpbt26Fh4cHbrnlFofpNYcPH45p06bV+f3V5bM8duwYAGD69Onw8fGxlUdFReHRRx/FpEmTahz51qNHDwDA/v37UVFR4XJ8RERtGadwJCIiIiIiIiIiqofExESn5R4eHrjsssswfvx4TJ8+3WG6wsGDB2PXrl0oLy+HTqdzaO/t7Q0AUFUVFRUVtueVhg8fDi8vL4d2Xbt2RWpqKoqLi53GtXLlSvzrX/+CTqfDBx98YJdockVaWhoAa8LGmXfffRcmk8lpcs1iscDX1xcAUFZWVqf9Xkzl2mFhYWEYN26cw/Z+/frhxx9/RHR0tMNnMXHiROj19pdIK9dsO3jwIPLz823lTz/9NJ544glYLBancVR+TnV5f3X5LCuTav/973/h4eGBUaNG2d7P1KlTMXXq1Br306lTJ+h0OphMJmRmZtb4GRIRURUm0IiIiIiIiIiIiOrhr7/+QqdOnQBYR0Ft2bIFL7/8MlJTU1FSUoJJkybVutaXl5cXDh48iEOHDiE1NRWpqak4duwYUlJSbHWcjUALDw+v8fVqalNcXIx//vOftm0FBQWuv9Hz8vLyAAD+/v411vHw8EBBQQESEhKQnJyMtLQ0JCcn49ChQ7ZkkJSyzvuuTWpqKgCgZ8+eTpN3ABAXF+e0vH379k7LK5N9F47W0ul0qKiowPbt25GUlIS0tDScPHkSBw8etB2fury/unyWc+fOxapVq5CSkoL58+fD29sbQ4cOxdixY3HppZfa+qIzQgj4+vqisLAQubm5TKAREbmACTQiIiIiIiIiIqIGMhgMmDhxIuLi4nDDDTdg8+bNWLBgAb766iunI4x27tyJV155BQcPHrSVCSHQuXNnTJ8+Hb/88kuN+/Lw8Kg1FmcJHLPZbItx3bp1eOGFFzBq1Khak2EXKiwsBACn7wewJptef/11LF682G4Ulq+vLwYNGoTs7GwcOXLE5f25qnKUWPVpDV1VW4LzQqqq4sMPP8QXX3xhNzLN09MT/fv3h6qq2LVrV532X5fPMioqCj///DPee+89/PHHH8jLy8OmTZuwadMmvPzyyxg/fjxefPHFGpNy3t7eKCwstH2ORERUO66BRkRERERERERE1EjCw8Pxn//8B0II7Nu3D6+88opDnWPHjmHu3Lk4ePAghg4dihdffBFLlixBQkICfv/9d9xzzz2NHpdOp8Pbb7+NhQsXonPnzsjKysJ//vOfOr1G5TpuNU0R+eSTT+KLL76AEAILFizABx98gD///BMJCQn49NNPbetwNbb6TJ1YHwsXLsSbb76J4uJi3HLLLXjrrbewevVq7N69G19//XWdp8Ssjw4dOuCFF17A1q1bsWTJEjz00EMYMmQIhBDYsGED7rrrrhpHwBUVFQGA3Xp8RERUM45AIyIiIiIiIiIiakSjR4/GrFmzsHjxYnz//fe4/PLLMWrUKNv2RYsWwWg0YtSoUfj0008d1kE7d+5co8fk7++PCRMmAACee+45zJ07F0uXLsX06dMxfPhwl14jODgYQNVUjtVlZGTg119/BQB8+OGHTl+zKd4XAHTp0gUAcOLEiRrr3H333RBC4OGHH65XIs9kMuGrr74CALz00ku47rrrHOo01furdPbsWaSkpGDUqFFQFAUDBgzAgAEDcNddd2Hbtm244447cOjQIZw4cQI9e/a0a2s0GlFaWgoACAkJadI4iYhaC45AIyIiIiIiIiIiamSPPfYYwsLCAADPP/88jEajbVt6ejoAIDY21iF5BgDLli2zPbZYLI0e25gxY3DllVdCSolnnnnGYZ2vmnTr1g0AkJmZ6bAtPT3dNvLJ2XpjSUlJ2Lt3LwDrdJKNaciQIfD29kZGRga2bdvmsD05ORlr167Fhg0bbEnAusrNzbUloHr37u2wPScnB+vXrwfQ+O8PsCbArrrqKtx5553Yt2+fw/ahQ4fapoN01mcyMjIAAHq9nuufERG5iAk0IiIiIiIiIiKiRubv74/HHnsMAJCSkoKPP/7Ytq1yxNSqVatw6tQpW3lBQQFefvllrFy50lbmanKrrp544gn4+/vj5MmTePfdd11q079/fwDA0aNHHaZL7Ny5MxTFeqnxww8/tEvi7NixA/PmzbMllhr7Pfn7++Pmm28GADz++ONITEy0bUtLS8MjjzwCALj66qvrnUALCQlBQEAAAOCzzz6zS4gePnwYf/vb31BQUACgaT4zg8GAqVOnAgCefvpppKSk2LYZjUa8/vrrMJlMiIyMdDrCrjJ52adPnzqt+0ZE1JZxCkciIiIiIiIiIqImcM0112DZsmWIj4/Hhx9+iOnTpyM6Ohp33nknVqxYgczMTEybNs02suvkyZMwGo3o1asXzp07h/z8fGRmZtpGsjWmsLAwPPTQQ3jhhRfw6aefYtq0aejVq1etbTp16oQuXbrg5MmTOHDggN00jSEhIbj55puxaNEifPTRR/jhhx/QsWNHZGZmIjMzE3q9HsOGDcPOnTudjmBrqAcffBDHjx/Hhg0bcMMNN6Bbt27Q6/VISUmByWRCnz598MQTT9T79fV6Pe6991688sor+Pnnn7F+/Xp06tQJBQUFSEtLAwCMGDECO3bsaJL3BwD//Oc/sWvXLhw/fhxXXnkloqKi4Ovri9OnT6OwsBCenp54+eWXodc7XvLds2cPAOCSSy5pktiIiFojjkAjIiIiIiIiIiJqIs8++yw8PDxQUVGB559/HgAQFRWFn376Cddddx06duyIlJQUnD17Fr169cITTzyBpUuXYsyYMQCAdevWNVlsN910E/r37w+z2Yynn37apekip0+fDgDYsmWLw7annnoK//73v22vefToUXh4eGD69OlYsmQJXnjhBQDAzp07UVxc3KjvxWAw4P3338dLL72EQYMGISMjAykpKejcuTMefPBBfPfdd7YRZPV1xx134IMPPsCwYcOg0+lw7NgxGI1GTJ48GV9++SXef/99eHh44Pjx4zh9+nQjvbMqQUFB+P777zF37lx07doV586dw/HjxxEQEIBZs2ZhxYoVGDlypNO2lZ/XlVde2ehxERG1VkJWTk5MREREREREREREVIvs7GxMmjQJwcHBWLt2rW3aRnJfu3fvxk033YRx48bZTSVKRES14y8cERERERERERERuSQ0NBQ33HADzp49i61bt2odDrlg+fLlAIAFCxZoHAkRUcvCBBoRERERERERERG5bN68efDy8sIXX3yhdSh0EdnZ2fj1118xfPhwDB06VOtwiIhaFCbQiIiIiIiIiIiIyGURERG4//77sWnTJsTHx2sdDtXivffeg8Visa2/R0REruMaaERERERERERERFQnFosFN954I3Q6Hb7//nutwyEnTp8+jSuuuAIPPPAA5s+fr3U4REQtDhNoRERERERERERERERERNVwCkciIiIiIiIiIiIiIiKiaphAIyIiIiIiIiIiIiIiIqqGCTQiIiIiIiIiIiIiIiKiaphAIyIiIiIiIiIiIiIiIqqGCTQiIiIiIiIiIiIiIiKiaphAIyIiIiIiIiIiIiIiIqqGCTQiIiIiIiIiIiIiIiKiaphAIyIiIiIiIiIiIiIiIqqGCTQiIiIiIiIiIiIiIiKiaphAIyIiIiIiIiIiIiIiIqqGCTQiIiIiIiIiIiIiIiKiaphAIyIiIiIiIiIiIiIiIqqGCTQiIiIiIiIiIiIiIiKiaphAIyIiIiIiIiIiIiIiIqqGCTQiIiIiIiIiIiIiIiKiaphAIyIit6aqqtYhEBERERERkcZ4bkhERM2NCTQiIqq3xx9/HLGxsfj111+b5PX37duHm266qUlem4iIiIiIiBoHzw2JiKg10msdABERUU1mz54NDw8PrcMgIiIiIiIiDfHckIiItMARaERE5LaklFqHQERERERERBrjuSEREWmBCTQiIiIiIiIiIiIiIiKiaphAIyKiBpNS4osvvsDUqVPRr18/XHbZZXj//fdRUVHhUHft2rW44447MHToUPTv3x/XXHMNvvzyS5jNZlud5cuXIzY2FgBgNBoRGxuLSZMm2e1v5cqV+Nvf/oZRo0ahT58+GDZsGG699VasWrWq6d8wEREREREROeC5IRERtSZcA42IiBrs3XffRXJyMgYMGIDY2FjEx8fjzTffxJYtW/D555/b5qp/44038MEHH8BgMKB///4ICgpCQkICXn75ZWzZsgXvvfce9Ho9oqOjMX36dKxYsQKKouDKK69EcHCwbX/PPvsslixZAj8/PwwaNAheXl5ISkpCfHw84uPjUVRUhNmzZ2t1OIiIiIiIiNoknhsSEVFrIiQnESYionp6/PHH8eOPPwIA/vOf/+Caa64BAOTn52Pu3Lk4ePAg/vnPf2Lu3LnYuHEj5s2bh06dOuGjjz5C9+7dAQDFxcV44IEHsGXLFjz88MNYsGCB7fVjY2NhMBhw4MABW9m+ffswa9YsdOvWDYsXL0ZAQIBt2yeffILXXnsNMTExWLFiRXMcAiIiIiIiojaP54ZERNQacQpHIiJqsAkTJthOkAAgKCgIL730EgBg8eLFAIAvvvgCAPDcc8/ZTpAAwM/PDy+//DL0ej2++uqriy4OXVRUhKlTp+Khhx6yO0ECYLuz8MyZMw1+T0RERERERFQ3PDckIqLWhFM4EhFRg02bNs2hLC4uDh06dMDJkyeRnZ2NXbt2QVEUjBgxwqFuhw4d0KNHDxw5cgTJycl2J1EXuuSSS3DJJZfYlRmNRiQnJ2P37t0AAJPJ1MB3RERERERERHXFc0MiImpNmEAjIqIGi4yMdFreoUMHnDt3Dunp6SgvLwcA9O/fv9bXOnfuXK0nSQBQWlqK5cuXY926dUhJScHZs2ehqiqEEABw0TsViYiIiIiIqPHx3JCIiFoTJtCIiKjBPD09nZZXnqxU3vXn4+ODSy+9tNbXCgwMrHX7uXPnMGfOHKSnpyMoKAj9+vXD1KlT0bt3b4wYMQLjx4+vxzsgIiIiIiKihuK5IRERtSZMoBERUYNlZmY6LT9z5gyEEOjSpQs8PDygqipee+01292A9fHmm28iPT0ds2fPxrPPPgu9vuqnrKCgoN6vS0RERERERA3Dc0MiImpNFK0DICKilm/r1q0OZbt370ZWVhZiY2MRGhqK/v37o7y8HDt27HCoW1paimuvvRa33norcnNza93X/v37AQDz5s2zO0ECgC1btgDgNB1ERERERERa4LkhERG1JkygERFRgy1evBibNm2yPc/MzMQzzzwDALj99tsBALfddhsA4LnnnkNSUpKtrtFoxLPPPovDhw9DVVUEBwfbtnl6esJkMqGiosJW1rFjRwDA2rVr7WLYvXs3/u///g+AdVoQVVUb8y0SERERERHRRfDckIiIWhMheSsGERHV0+OPP44ff/wRAwcOxL59+zBs2DAEBARg+/btKC4uxjXXXIP//Oc/tvovvfQSFi1aBA8PD/Tr1w/BwcHYv38/MjMz0b59e3z77beIioqy1Z8+fTqOHTuGuLg49OjRA6+99ho2bNiA+fPnAwAGDBiADh06IC0tDQcPHkRQUBD0ej2ys7OxceNGhIeHN/sxISIiIiIiamt4bkhERK0RR6AREVGDPfHEE7j//vtx+vRpbNy4EREREXjuuefw6quv2tV7+umn8dZbb2HIkCE4fvw4Nm/eDD8/P8ydOxc//vij3QkSALz44ovo1auXrW5BQQHGjx+Pjz76CIMHD8bJkyexZcsWmEwmzJkzBz///DOmTp0KAFi3bl2zvX8iIiIiIiLiuSEREbUuHIFGREREREREREREREREVA1HoBERERERERERERERERFVwwQaERERERERERERERERUTVMoBERERERERERERERERFVwwQaERERERERERERERERUTVMoBERERERERERERERERFVwwQaERERERERERERERERUTVMoBERERERERERERERERFVwwQaERERERERERERERERUTVMoBERERERERERERERERFVwwQaERERERERERERERERUTVMoBERERERERERERERERFVwwQaERERERERERERERERUTX6hjRWVQmz2dJYsbQJBoP1kBuNZo0jobaOfZHcAfshuQv2RXIH7IeNS6/XQVGE1mG0Ke50fsh/T82Lx7t58Xg3Px7z5sXj3bx4vJsfj3nz4vFuXu54vBtybtigBJrZbEFBQVlDXqLNCQvzBwAeN9Ic+yK5A/ZDchfsi+QO2A8bV2Cgt+3kjZqHO50f8t9T8+Lxbl483s2Px7x58Xg3Lx7v5sdj3rx4vJuXOx7vhpwbcgpHIiIiIiIiIiIiIiIiomqYQCMiIiIiIiIiIiIiIiKqhgk0IiIiIiIiIiIiIiIiomq4KAC5tdSsCqzdX4RTmRXQKwLdOnhiXF9/RIYYtA6NiIiIiIiIiIiIiIhaKSbQyC1JKbFsSx5W7syHlFXlR9PL8duuAlw+JBA3jGkHg56DKImIiIiIiIiIiIiIqHExgUZuR0qJRetysGZvoa1MEdb/qxKQAFbvKsCJs+V45LqO8PFkEo2IiIiIiEgrWVlFWodARK0Iv1OaF483EVHNmEAjt/P77gK75BkAPH9zJDq088DGxCIs2ZyLCpPE8TMVeGVJOp6YFckkGhERERERUQuU/dj9WoeA0Nfe1joEogbjvyWi1on/tom0xQQauZW0bCO+35hrVxbsp4PRLOHpoWDKoEDERXvh6UXpsKjAqSwT/v3DWTwzOwJ6ndAoaiIiIiIicie8m752vBjXsrF/k7tzh+8YgN8zF+MOn1PlZ+ROsRDVFftv68YEGrkNKSU++yMTarU1zyYNCMAtE0LskmNlFdKuTsq5CrzwXTqemxMBncKRaERERERERESNiRcHiYiIqC1iAo3cRsLxEpw4Z7Q9H9vHD7dPCoEQ9iPLekR44YWbI/Hx71lIzbLWP5lpxFNfpePJWREI8NE1a9xERERERAQkJMRj5syZF613/fUz8eyzL9qVvfDCM1i+fKlL+1mw4F7cfbf9xfwHHrgLGzeud6n933v3xlWdOtmV3b19O44XuTaq58WBAzEqLMyubPaGDcgxGmtoYe/bb5chLq6vXdnAgb1cagsAf/yxAe3bh9ueZ2ZmYOrU8S6337v3iN3zY4WFuGfHDpfahhgMWDzefl/bsrLwzN69LrXv6e+P90eOtCtbmZaGNw8fdqn9yNBQvDRokF3Zl0lJWJSc7FL7aZGReDguzq7s9UOHsMrF49/Qvvf0089jxozZdmU33XQ9Dh8+5FL7hva990aMQExAgF3Z5D//dKktAHw/dixCvbxsz7PLy3Hjpk0ut18zZYrd87r2vb8uKNuwYS0efPAel9r37h2H775bble2bNlivPTScy61HzduAt566wO7svfffxsffviuS+3bzPdeDf+WNOt75+O58Hvv0KFEzJkzw6V9h4WF4c8/7ffVlvrerd264fbu3e3Knt6zB9uzs11qf9G+d5Hv32b93nMSS2P/5ja072n9m9uSvveq/+ZWjtyuy2/uwoXvYfz4SXZlU6aMRVZWlkvtm/1774L+y+89+7536tRJ9OzZw6X2F2ICjdyCKiUWrcuxPQ8L1OP2S0MdkmeVOrf3xAs3R+KzP7Ow8WAxAOBMrglPfHkaj13fEV3CPZslbiIiIiIiorrIX/gasi+4oFIXuS8+DaXaBZXc8vLGCIuIiIiIiC7ABBq5hV3HS5BfYrE9v++qcBj0tU/HaFGBK4cFQVEE1h+w3klQVKbixe/PYMaYdrh8SGCNCTgiIiJywmIGSrIBRQ/4BAOcGpmImsDu3QkuldUkISHeoSwx8YDL7Y917YHQl1+zKzs9cqDL7VOHjcT0e/9uV5Y3OM55ZWftS0oc7kiui9yKCrs7knMrKur9WpXxuLxvJ3f8HykoaNC+DuTludze2b725eY6qemcs33VZf/bFn+DmcnH7Mr2b9vievtP3seEHZvtypKPHqmhtqMjBQUOIzGcfSY1aS19r3I6yfgTJ1xun3z0iMM0lNsOuP69sX/bFrv2oa+97fS7qCY7f/sV2UX59mVb6tB3Gtj3DuTlOYwCqsvxb+l978LPfv/Zs663zcpyaF+fvld9CtK6/OY5+32rS99r6G/uvtxc4IIRaHX53m9o32vob27u9OsRetU19oV1GPV94unHoAQGVj2vw3sHGtb3cnJyHMq0/s1tzr7X0L/3GvqbG//ma+iz8ke7smwXR58Bbft7LyXFcWYArb/3ilwcce0ME2jkFr7fVHXS06+zN7rWMoLMaFLx2+4C/LarAJ3be+KxGzogK9+Eg6etd16aLBLfbczFugOFePDqDogMMTR5/ERERC1a5gko+36GOL0XwmICAEgPb8jOQ6EOvgEI7KBxgETUmgwePNRp2cmTKS61Hzp0uENZ3779XJ7Sx9n+u3bt5vKUPn379ncoCwkJcXlKn2hfX5fq1STY07PW53VVl3iCDY7nVr2qXVisz776tWuHv86dc6m9s30NCA7G/vx8l9r3a9fOadnp0lKX2g8IDnYak6tTmTnbf7Svr8vT6Dl7/8EGg8tTmbHv2Wto3xs6dDh27drpUnv2Pfa96gYPHopVq1a41L5v334OZXXpew39zR01+2aEXjCNXv86TKM36v/djdALpq7tVodp9Br6m9utW/eLV6qFln0vJCQEgP36j8M3rMU3Lk6j1y22l8PakaOWLcZfLk6j13/UGIf2cXk52OVSayDOZHRIwsSZjDjpavu8HIf2MYrAdhfb83vPXnN+73Xt2s2hTOvvPX9/f5faOsMEGmnuZEYFsgrMAACdAtw6KaTW+uUmiVUJBSitUHEyowICwD1XheOpr04jv0S11SssVREawC5ORERUI1M5lPhvIQ79CQFpt0mYyiBObIJI2Q51wDWQg661jkwjImrhin/4HtkX3JFsTjvtcvvCzz9C9gV3JKt1vCOdiIjapuzH7kdxWprL9Y2HEh2SCKVJSS63L9+x1aE9/INcbq+1hv7mNnTaZKKW6sLkZ+ahRMDFNdCUwECH9gEb1gIuJm9bGyGllBev5pzRaEZBQVljxtPqhYVZs52VixcS8MWaLKzdbz0ed10RhtG9L54R/m13AZZuysUlcX64ZWIoPPQCh1LL8Ooy63BUIYBL4vww77L2TRp7S8a+SO6A/ZDcRZvsi/lnoPvzdYj8qhN4GRAO2aE3oJohzhyEKK2a4kN26A3LlEcALz8tom0T2mQ/bEKBgd4wGJj0bU7ueH7ocNFQA5UXIBiLPcbinDvFArhXPIzFOcZSM3eKh7E4x1hq5k7xMBbn3DEWcq4h54Y8oyRNVZhUbDtSDADw9VIwrKdrF+UmDwjAkO4+CAv0sJXFRXvjyqGB+DWhAFICqVkVMFsk9DqBk5kV6BRiwJq9BZg6KBCKwrXRiIioDcs5Bd2qlyDKrYka6ekLdcQtkDHjAXF+3TOLCWL/Sih7lkNYTBDnDkP364uwTHsK8OZdnERE1Dh4wYeIiKhl4G+2+2Myr/ExgUaaij9WgjKjdRDkJXF+8NA7JrYy803ILjQjLtrbVqbXCbvkWaUbxgTjYGoZTmYacSrThB+25MJkkfhzTyH6dvbGgVNlOJNrwp2TQyEEk2hERNRGGUsAk3URYtm+ByyX/h3wC7Wvo/OAHHQdLJ2HQvfbqxAlORC5p6Bb9X+wTH8OMPhAWf0K0L4H1P7TAQ8vx/0QEREREWmstV3MJSL+u6bmwwQaaeqn7VVTQ13iZOrGCpOKt1Zk4HS2ETeODcblQwJrTXzpdQJ3T2uPZ75Oh9Es8WtC1bzIB05Zp5PZcKAIY3r7IbaTd00vQ0RE1Lp1jIN62WMQB3+HOukBQO+4SDAAQLVAnN4LlBVAegdClBVA5J6COPg7ZLeRUNL2AWn7II5vgmXGf2t+HSIiohrwTmmqK35eRETa4G82tUVMoJFm8ovNyCowA7CuWdYxxHFE2Zq9hUjNMgIAthwuxqUDA2BwMkqtuo7BBtw8IQSfr8kGABj0AkazdZSbXgEeujacyTMiImrzZGQ/yMh+tdYRSVuhi//GWt/gCykUyK4jIAdcA3F6N6TOAGExQh14LZNnREREROSWeNGfqPXhv2tqLkygkWZWxOfbHkeHGWDQKw51rhgaCJ1OYHVCPh68OtxpHWcm9PPHvpRS7E4qhdEs4W0QKDNKmFUgt8jSWG+BiIioZbCYIY5vhIydaF3b7OROiLR9ELmpQGEGYDEBUlrXNvMNhvQPg+zYB7L3ZKhp+yGSt0J2HwW112TAJwgQArLzUFhmvQGRtg+y1ySt3yERERG1EbxoSkRERM2FCTTSTPyxEtvjqYMCndZRhMDlgwNxaf8Ap+uj1UQIgblTwnD8zGkUlam2ddYA4PtNuRjU3RcBPrr6B09ERNRSSAll44dQTmyCevYQYCyFkrrbed3SPKA0DyIrCbIkD5a4KVDHzgMGXgu0i3Ss7xcC2WNMk4ZPRERERERERKQFJtBIE5kFJhSUWkeC6RRgTJxfrfWdJc++25CDlIwKBPnqcMOYYIQH2U8BGeCjw9wpYVj4S4btNUxmiZJyFYs35WDeZe2xO6kEgT46dO/o1UjvjIiIyM1kJ0Oc2AwAEKd2wTL+LlsCTeoMQFAE4HH+d7AoEygvgrCYIDvGWcv0BlvyTOxfaU2Y+bSzPj+9B8qGD2CZ8igQ3tNa/9xRKMfWWxNvwrWR40RE1Lw4eoaIiIiI6OKYQCNNrNiRZ3vco6MXFFGVIDuWXg5fLwWRIda1VIxmFWnZRnTrYJ/kysg34UhaOQBgzoQQu22Z+SbodAJDevhiTJwfthwqhsks4aEDTBZg88FiZBWYcSStHNFhBrxwS6RdDERERK1GWHeo056Esv49qOPvBjr1h2XsfMiQLkBoF1uSS5zcCeWvNwGDH8yX3Q8EdrR7GXF6D3Q7vobc9wvUSfdD6jyg/P4fCCmh+/O/sFz3ivU1tn0BISVkUCfI/lc2+9slIiIiIiIiImoMTKCRJvYkl9oeXz44wPa4wqTig9WZyCs2Y9rQIAzs6o2Pfs9GUZkFr82Ngr931bSL3gYFigACfXQI8rXvyj/vyMOmg8XoGu6Jfl28EeijoKBUhen88mcSwOlsIwAgNcuIAyllGNDNp+neMBERkRbKCqHsXwF16CxYZi+0jiYDHNcskyqU/SshVAtQXgDlzAGokX3tqoj9K63/Ly+EsuplqOMWQEYPhji1CzJqEODlDxnWDYAAICFO74bsNw3gDSpERG6Ha0gREREREV0cE2jU7ApKzCgsVQFYp28c3MPXtm3t/kJkF5oBAPtPlmJVQj4s1qr4ZUc+bq420mzBFe0x7/IwlJardq9vUSX2JFkTdCkZFUjJqHCIQQigZ0dP5BSZMWNMMPp39W7U90hERKQ5ixm6P/8HkXEUIuMYLFMesSXQHAgFlssfh/LHf4HgKKhDZztUUac8Amz+BErSVghIKJs+hDrublg6D4OMGW/9cW3fE+qImwFPP8ieY5k8IyIiIiIiIqIWiwk0ana/7SqwPe4c5glR7eLalIGBUFWJn7bl41Sm0VbeJ9obkwcE4EKKEPCrNioNACwWiatHtsOu4yU4dqYcUjrG0D5Aj79fEw4hhN3+iYiIWoWzh6HsWgqRcdT6vDTPOjCsNgZvqFc8ASg654kvgw/UifcDAR2g7FkOISWUTR9B7XMFlI0fAsXZgE4PeAdBhvcEKkoBr9rXOCUiIiIiIiIicldMoFGzq1y3DAAu6WN/YU2nAIWlKirMVVmv60a1wzUjg1xeo8zgoeDywYG4fHAgCkst2JNUgi2Hi+32m1FgxjNfn8E/Z3REgI+ullcjIiJqYSxm6Na/B1GcBQCQih6WqY8BXhfciFJWABh8rUmvSrqL/GkoBNSY8UD6ASiZxyFUM3QHVjjWO7YecsvnkHFToQ6dBXh4OdYhIiIiIiIiInJjTKBRs5JSIqfIOkWjp15gfF9/u+0rd+Zj9fkRajoFmDslDGP7+Du8jqsCfHQY3y8A4/sFID3HiEXrcnAotQyAdQ20575Jx+MzOiK8nQcAQJXS5UQdERGROxKH/7QlzwBAHXojEBxlX8lUDt3qVwAPb1imPOSYXLuQlBBnEiEO/gZxajcEnAzvvjAO1QyRuAri9B5YhswEuo+uz9shIiIiIiIiItIEE2jUrE5lGZFfYgEADOruAw+9ArNFIr/Egv0ppVi6OQ+AdZapu65ojxGxjTf1U2SIAY/P6Ig3fz6H3efXSMspMuPpr9Nw1bBApOWYYLZIPHh1h0bbJxERUbMylkLZudj2VAZ3huw3zaGasvFDiJyT5x9/BHXqo85fz1QOcWIzlIO/QeSl2W2SQgEUHYTFBACwXP4ExP4VUM4knt+ug5AWiIKz0K17B5bQrkBgx0Z4k0RERERERERETY8JNGpW+1NKbY8HdPUBAKzZW4DFm3JhUavq3TE5tFGTZ9XNuywMj32WiuJy693zFSaJH7bmA7Am7rILTQgN8GiSfRMRETUlZd8vEOaqKYst4+YDiuJQT+0/HSI7GTCWQR11m+MLFWVBOfQHxNG1EBUldptkYEeocZdB9hgDkZ4I3dqFkKHdIL0DICfeC7HsMYiKYghpgdQZICxGCKlCt+J5WGa9Dhh8Gv19ExERERERERE1NibQqFntPmG9CCcA9Ovig8JSC5Zvy7NLns0Y0w4T+19kKqkG8PXSYfbYEHz6Z7bDtkAfBZn5ZibQiIio5TGWQRxYZXuqdh4GhHV3XjesGyzXvQIU5wD+7avK889A2fMjRNJmCGk/TaMaNQiyz+WQnfoBwpqUk91GwqLoIDsPtSXq1Ev+H3R/vWltpDdAqmYIqUKU5UPZ9DHUSQ8AnC6ZiIiIiIiIiNwcE2jUbFIyypGcYQQAhLfTI8BHh8ISMwx6BeVG67SOo3v7YfrwoCaPZWxff6w/UISkcxV25RP6ByAu2rvJ909ERNTYxMHfICzW31kJAXXUrbU3MPgAwedHg+WlQ9nzA0TSNrv1zaSHN2TMeKhxU4GgCCc7FZBdh9sVyW4joZ4cDSVpK0RFMdRek4FTOyHKCqAkb4PsOgKy28gGvVciIiIiIiIioqbmOKcPURP5Y3eh7XF4kAeklPhybQ4KS63Js6gwA+ZODoVohrvSFSEwe1ywQ/nPO/KRlm1s8v0TERE1KtUM5dDvAAAJQHYfZT+yDACykoALRpXBWApl25fQ/fCYNeF1PnkmfYNhGXkbLHPehTr6DufJs9rCGXkbpIf1hhRxbB3UIbNt25TtXwGm8pqaEhERERERERG5BSbQqNkkniqzPZ7UPwCrdxVg53HrlI7+3goeuqYDDB7N1yV7dfJGv872o836dvZGZAinbyQiopZFnEyAKM0HAMgeY6FeMs++wrmj0P/0FJTfXgWKsqxtUvdAt+RhKImrIaR1LmXpGwLLmLmwzF4I2W9a3dYrkypESjyU1a8AHl5QB99g3Y9qgTgVD7X7aOvzklyI/Ssb9oaJiIiIiIiIiJoYp3CkZlFSbkHB+ZFmigC8PQWWbMq1Pb//qnCEBjR/d7xhTDAOnEq3PT+aVo6SchWKIqBTAM9mTOgRERHVlzj8p+2x2mcqYKh2g4hqhm7ThwAAJW0f5JlEiMJMKHt/tFWRHt5Qh86C7D0F0NXv91jZ/QOU3T9YX+/oWut6aUfXQuSfgXJ6L8yXzINI3g4hVSiJq2DpewXg6VuvfRERERERERERNTVmB6hZrNtfZHscEeyBd1dmQT0/i9SsscHoFaXNumPdOnhicPequ+uNZomXl5zB/R+cwvajxZrEREREVCf5Z6CcOQgAkKFdgbAe9tuFDurIWyGDIqFG9IVIT7RLnqndR8My6w3IvlfUO3kGAGrP8ZDC+qelcmAVIAB1aNXUjbodX9tGugljKZTEVfXeFxERERERERFRU2MCjZpF/LGqZFTHEINtNFqQrw6XDwnUKiwAwJXDguyep+WYYLJIbDhQ6LwBERGRG1H2/mR7rPa6FLhwLVEhIKMGwXLtS4Cih5K0BQAgFT0sY+dDnfQA4BPU8EAC2kN2G2ndZXE2RNJWyC7DIEO6WMtM1qmcK1dhE4f+AMxcd5SIiIiIiIiI3BMTaNQs0nKqLpBFtvOAXmd9fO+V7aFceKGvmfWM8EJMpJftuSIAnQKcyjShuMysYWREREQXISVEyo6q5x41jOhWVSgbPoSSttfaTO8J9fLHIXtNatRw1AHX2B4r+1YAEFCHzKgKN6ADZM/xAABRXgRxPplHRI0vLy8PL730EiZPnoz+/ftj2rRp+OSTT2A28+9bIiIiIiIiVzCBRk3uxJlymK0DzuDnpeD6McH49x1RuHlCCGI7aTN144WuHFo1Ci7IVweLCpgsEmv2FtXSioiISGOpuyHMFQAAqTPYRoBZC1TbQ2X7V1BStluLDT6wXPk0ZGTfxo8npDPUTgMAACLvNMTZQ5DRQyBDu1nLCs9BjR5UFVfiakBKpy9FRPVXXFyMOXPmYNGiRejRowduvvlm+Pv747XXXsN9990HyX93REREREREF1X/hS6IXPTXvqqpEMODPAAAYYEeuGywtlM3Vjegmw8iQzyQnmNCbrEFegXo3tEL3Tp4ah0aERFRjXS7l9seq12HA4rO9lzZ8AFgMUGGdoVy8DcAgNR5wDL1MaB9zyaLSfa5HEjbBwAQB3+HjOgDtf9V0K19yxrXqQSokf2hpO+HyE0Fzh0BOvZusniI2qKPPvoIycnJeOqpp3DbbbfZyh955BGsXLkSGzZswIQJE7QLkIiIiIiIqAXgCDRqcqlZFbbHSecq8MuOPA2jcU4RApdXS+iN6u2Hp2ZHoH9XHw2jIiIiqoWxHMhOBmBdV0wOm1O1Lf8MxIlNUJK3QYn/1lasTryvyZNVMmoAZEA4AECc2gkUZ0N2HQ7pG2ItS9oG2X20rb5ybEOTxkPUFqWnp6Njx46YM2eOXfm0adMAAHv27NEiLCIiIiIiohaFCTRqUiazRGaB/ToL7jJt44VG9vKDt8G6HlvC8RLEHy3GqcwKpFdbv42IiMhdiGMbIHB+GraADoBfcNW20jzAx/q8cqVRte8VkF1HNENgCtS4qdaHUkI5/Ceg6KH2ufx8mQXiyFrI85GJlO2Aqbzp4yJqQ/73v/9h/fr10OvtJxxJTrYm3UNDQ7UIi4iIiIiIqEVhAo2a1JG0MlSYqtZY8PYUMJnVWlpox9NDwZg4fwBAmVHinV8z8czX6fh8TbbGkREREV1ASihH19qeWsbOt98c0QeyU7+q5+17QB1+c/OFFzMBUu8J6eUPafCzlsWOh2zfE5YxcyGMxbbknzCVQ5xKaLbYiNoaKSVycnLwzTff4O2330ZERASuvvpqrcMiIiIiIiJye0I2YAVpo9GMgoKyxoyn1QsLsyZosrKKNI6keXy9Lht/7Cm0K3vp1khEh7nn2mJp2UY8+VWaQ/nlgwMwZ0LrulO3rfVFck/sh+QuWlxfPHsY+pXPAwDUyH5Qpz1lt1mkJ0K36iUAgPT0heW6VwH/sOaNMeM4ENIZ0BscNokDq6DsWgJxfuSZs/fQFrW4fujmAgO9YTBwyec333wT77//PgDryLNFixahW7duGkfV9PjviIiIiIhIO5Xnty0dR6BRk5FSYveJEgCAXgcM7eGDwd193DZ5BgCdQg2IifRyKP9jTyHyis1OWhARETU/JXG17bE8PzWijdkIZfPHtqfq6DubP3kGAOE9nSbPAED2mgTLLR9CBncGAIgziUBZodO6RNQwkZGRmDt3LqZMmYLc3FzcfPPNOHjwoNZhERERERERuT3ekklN5o89BcgusgAA2gd64IGrO8Ci1nvAY7OZ2M8fx9Lt12JRJbDpYBGuHtFOo6iIiIjOkxLw9IH08Aa8AyCjB9k2ibT9EKd2QRRmAADUqIGQ3cdoFWnNPKw3q6jdRkKXewpCSohTCZC9JmkcGFHrM3PmTNvj9evX46677sI///lPrFixAkKIWlrWnTvNUMIRnc2Lx7t58XhTa8c+3rx4vJsfj3nz4vFuXu54vBsyOwlHoFGTMJklftiSZ3se4GPtajqlcU/Sm8KwGF/4eDr+09iQWAS1/jOeEhERNQ4hIAozIExlgM4AqNabVWAqh7LmDYhDvwMApN4T6pi/AY18gbxeck9DHF1nfWwxQaTEQ1nzOqDobFVEyg6NgiNqOyZMmIBRo0bh+PHjSE1N1TocakWysorc6iIJEREREVFj4Ag0ahJ/7S9Euakq2TSub4CG0dSNQa9gRIwv1h2wPwHMKjDjUGoZ+nb20SgyIiIiAOYK6/pigDUBpfMAAIgja61JtfPUobO1mbrxAsq6d6Gc2ASp6GCJGghUlEK35nUAgFpRAhkUAZF/BiL9AFBRAnj6ahswUQtnNpsRHx8PKSXGjHEcgRoREQEAyMvLQ+fOnZs7PCKiBvtX6sNah4B/Rb+udQhERETUDJhAo0ZXWqHi5+15dmWDu7espNMlffwdEmiAdRQaE2hERKQp1QJ18A3WdcPa96wqN1VNPyyDox3XRtOIbNcJACBUC5TDa6AOmQkZ0gUi5yREXjpQbv29FVKFSN0F2XOcluEStQp33XUXfH19sXnzZuh0OrttR44cgRACnTp10ig6cgdMQLRsHO1H1HLx+5eIqGVhAo0a3aqEfJSUq3Zla/YWtqj1w3p09ER4kAcy8k125btPlKKsQoW3kykeiYiImpSUEHuWQ3YbBTnoOshB11VtK8qEsu9nazUosEy4F1Dc47dK9poIuXsZhMUEcXgNMPBaqCNuhtQbAO920C9+wFZXpMQzgUbUQHq9HlOmTMHKlSvx6aefYv78+bZt3377LRITEzFx4kSEhoZqGCWRe+KFbSIiIiKqjgk0alQl5Rb8safAoXxMnL8G0dSfEAKXxPnhh632I+lMFomEEyUY26dlvR8iImr5RPoB6HYtBXYthWXwDMghM6wbpISy+VMIc4X16cDpQIgbTcvmFQDZ4xKIo+sgygogkrdD9hxr26x2HQmRvh/CWAqRts86RaXeU8OAiVq+f/zjH0hISMD//vc/7NixAzExMTh8+DC2bduGTp064fnnn9c6RCK6CHdI5gFM6BERURV3+G2qz+8SR25TQzCBRo3qzz2FKDdKu7LLBwUgxL/ldbUx1RJoOgFYzr+tLYeLmUAjIqJmJxJXVz0Jr5q6UZzYDCVtHwBABnSAOuiG5g7totQ+l0M5ug4AoBz8DZbqCbTJf4eyfRHEgV+to9TOHISMHqxVqEStQnh4OJYtW4a33noL69atw/bt29G+fXvcfvvtuPvuu9GuXcuZGaK+eKGEiJpDS72YTNrh50XU+vC3oHVreVkNcltlRhW/77YffaZXgBvHh2gUUcOEBnigd5QXDp8uh0UCEcEeOJNrwuHUMuQWmRHcApOCRETUQhWchXJ6DwBA+oZAhsday0tyoWz6yFZNHTsP0Bu0iLB2IZ0hO/aGOHsYIisJyDxetX6blJAd44ADvwIAROoeJtCIGkFYWBhefPHFZt1nQkI8Zs6cedF6118/E88+ax/bCy88g+XLl7q0nwUL7sXdd99vV/bAA3dh48b1LrV/+unnMWPGbLuym266HocPH3Kp/cKF72H8+El2ZVOmjEVWVpZL7b/9dhni4vralQ0c2MultgDwxx8b0L59uO15ZmYGpk4d73L7vXuP2D3PP1GA9Q9vcamtV7AnLv/iUruys/EZ2PHSLpfaB3YPwMQ3LrErW7ZsMV566TmX2o8bNwFvvfWBXdn777+NDz9816X2De17sTf2QO85MXZl215MQMbOTJfaD7ynL7pcHm1Xtu6hzShIKrQ9/wmramw/4ukh6Dg83K7stzv+QnluhUv7n/D6GAT1CLQr++nqmvd3YTyN3fcOHUrEnDkzXGobFhaGP//cZFfW0L538rdU7H0v0aX24cPaY9QzQ+3K3n//bfz0Ye3Hr1LnqVEYdF8/u7I97xzAqT9Ou9S+tr5XW5+pxO+9xu17GzasxYMP3uNS+9694/Ddd8vtylrS9x5/c9n3qjv87TEc/f6ES+2b6ntv4E7XPj9XfnNro8VvbnWXfT4J3iFetudlOeX4/c61Nda/8LdAy77Xr18//Pbbb3ZlWn/vnTp1Ej179nCp/YWYAaBG89feQpRU2K99Ft3eE4oiNIqo4S6J88fh0+UAgCBfHc7kmiABbD9ajGlDgzSNjYiI2g5l/6+2x6IkB7qv/gbL9OehJCyBsFjX65Q6A2QH108Gm5va5wrozh4GACiJv0Gd0A1KwmKIkzutSUEPbwhTGcTpPYCUgGi5fz8QkXtbmbsUiak77MrOGNNcbv9t1qdYl7rSrqzI4trFGHK0Mte1i7gAcLTskMNd3ocLjrncflfxdof2e4oPuNyeiFqmC//d559zXHqkJkWWQof2Z7MyXG5/xpiGf6U+bBsd8q/Uh3EyN9Xl9k3xvafA1+X2RER1ZTZbWtVsEEygUaOoMKlYvSvfoXxkbMv+UR7awxdf/pUNo1niTK4RQliv6W05zAQaERE1k9I8iGPrAQBSKBBSBYQCkZ0CJX2/rZqMnQgoOo2CvDjZeQikXyhEcTZE8nZgxM0Qp/dCFJwFCjMhI/pY10Irzgby0oDgKK1DJqImsnt3gktlNUlIiHcoS0x0PQmSfTDX4Y7kotPFLrfPO5bvcEdyeZ5rdyMDQHJyksPd8HWRk5Ntdzd8Tk52vV8LqNt7d/Y+847lN2hf2QdzXW7vbF/ZB3Jcbp/jZF/OymribF91ef9a972i08UOd8PXRWP3veTkpDrsu2HHvin6nrPvoppo3fd2705wGAWUkpLscvvExP0Oo4CcfSY14feePa2/9+rym7ts87fIuDLFrmz7vq0ut/9i04dIHG5/08rRpCM11HbU2vpefb73qidAD2056nL7o0lHHJKnCZv2utx++76ttvaVCWD+5jbfb255XoXdCLS67NuZhv7mJibud1LTOWe/L3X53nH2d31dfnOd7auoqP4JPSbQqFFsPlSMojL70WfhQXqMjWvZa4V5eyoY3N0H24+WIL9EhaeHQIVJ4nSWEefyTOjQzkPrEImIqJVTDvwKoZoBwJo8AyBDukKJ/9ZWx9JrEmTfyzWJz2WKDmrvKdDt/A6AhDh3BLLLMIjcVAhpAc5VnUiLUwmQTKARtVqDBw91WnbyZIqT2o6GDh3uUNa3bz+Xp5MK7RPsUOYf5efylD7tYoIcyrzaebo8pc8an1+QkLrBpbrOfFH+LrxTq03pU15e79cCrO/dVV7tPB3KnB2PuuwrtE8w0jaccam9s32F9gtBzsE8l9qHOPnsQ/oEozi9xKX2of0clydoFxPk8hSODe179455BOOj7S8kbwnd6fJUZo8MewZx0fYXkl2Z/q9SQ/uewyggH9dHARmCHM+9te57Q4cOx65dO11qr3XfO9MlxeH4e0YaUJ7k2me4P3ynQ3tDkIfL33vdunV3qV5NQkJCa31eV239e68uv7laf+/17dvfoSwkJMTl772G9j0tv/dCQpwfe1e5Y99rSb+5Df17ry7fM85c+N3j7LuoNg39zXUYeRvu+sjbrl27OZQNHjwUq1atcKl93779HMrq8pvr7FzD37/+OQql3i2JzlOlxG+7HP8Rllao8PFq+V1sdO+qf2AVJml7HH/M9bsWiIiI6qWiGOLwGgDWKRptygogTGUAALXvFZBj5wOBHbWIsE5kr0lQB1wDy41vQXYfDbVLtYvg3gG2h0rSNg2iIyIiIiIiIiKqIqSU8uLVnDMazSgoKGvMeFq9sDBrMqY1zQO660QJFv5izUL7eAqUVli71BVDAnHTeMe7BVoas0XiwY9OOYyw6xTqgZdva7l3x7fGvkgtD/shuQt37Yti9w/Q7bKuDSNDOkPknLLbLgM6wHLDvwF93e5GcxtSQvfdfRAlOZB6T0DvBVFeACkUWG77BDD4aB1hs3LXfthSBQZ6w2Bwvwk3LBYLkpKSUFxcDFVVUdvp2LBhw5oxsoZzx/PDC++e1SSGauveaI2xOMdYauZO8bhjLO7EnY6LO8QCuFc8jMU5d/y35G7c6XNiLPYYi3Pu+O+6IeeG7ndGSS1O9dFnlcmzju08MG1o/ed5dSd6ncCIGD+s2Wc/xDct24SMPBPCOY0jERE1EVFWACkEoOgBo/WitAQgzv/fMuGelps8AwAhIKMHQRxeA2GugNplGMSJzRBShUhPhOzqOE0bUUv25Zdf4t1333VpDn4hBA4dOtQMUREREVFb5I4XuYlaInf6t+ROsbQWTKBRgySfq8DRdOv8v2EBemQVnl+jRQD+PjotQ2tUo3s7JtAAIOlcORNoRETUZNQxc4G+0yBO74Fu25cArMkzAICHlzXJFBgBeDVsfnXNlBdZ46+kWmwPRdpeJtCoVVm1ahVeeeUV23Nvb294erbgBHgLwYsIRNSUeKc/UevjDv+uAf7bJnIXTKBRg/y2K9/22MvTdkkPigIoQjhp0TJ17+iJ9oF6ZBaY7co7BhtqaEFERNRIAjsAGb52RVLRQ5jKoexeCkvMOAAtLIEmVSg7vrGu7+YdBKnzgLCYIHJOQhp8IIylEKf3AVJa78ohagUWLVoEALjyyivxj3/8A+Hh4RpHRERERG2ZOySKOO0ctQbu1H/dKZbWggk0apDLBgdCldaRaGlZJlv5oG6ta80SIQRG9/bDT9vz7co3JBahazjvHCYioqYlTu60PZYAZEQf4MxByKiBgF+oZnHVm1CAwgwIcwVQlAEZ0gXIOQlRcBZqxziIs4cgSnKAs4eBiDitoyVqFEeOHEFQUBBeffVVeHhwBoPmwosIRERERERUX0ygUYN07+iF+67ywuqd+fhuU66tvF/n1pVAA4DRvf1tCTRFAKoEth0uwpxxwTB4KNoGR0RErYfZCJG4GjJuCmDwASwWiNN7bJvlwGuhDrsRKCsETKUaBtow6sBroZxKsD4pqfobAhXFtodK4iqoTKBRK6EoCiIiIpg8IyIiIiKX8UYcIm3xqj81ik2HqxZC1ylAjwgvDaNpGh3aeaBbB+toM1Vay8qMEluPFNfSioiIqG7E4T+h2/kddN/fD3FqF8SuxRCqdQph6eENdfAMa0XvACCgg4aRNlD7HlCjhwAARHm1dUZ1VckFkZXc3FERNZnY2FicOnUKZrP54pWJiIiIiIhIcxyBRg1mNKk4m1s1fWNspBf0uta5Xsno3n5IPldhe27QC3y1Nhu9o7wRHsS7iYmIqIFM5VD2/WJ9bCyHVHTQ7f/VtlmNmwroWs+fb+rQWRCpuyEgIYUOQlogck5B+gRDlOYC5YWAqRzwaH035lDbc8cdd+CBBx7Au+++iwcffFDrcIiIiIioBeB01ETaaj1XYKhZfbg6E1FhBozr44+j6eWwqFXbBray9c+qGxnrh2/X50CVgI9BoNRoHYoWf6wE04cHaRscERG1eOLg7xBlBQAAGTMOul1LIaSlqoJPO0C1AIpOowgbWUhnyO6jIZK22N6nUM1Qw7pBnMqFUM0QZw9BRg/WOFCihhs+fDhuu+02fPDBBzh06BDGjRuH8PDwWqd0HD9+fDNGSERERERERNUxgUZ1djrLiC2Hi4HDwJ6kUgT62l/E69sK1z+rFOCjQ78u3tiXUoZSo4QQQFiAHt6G1jnijoiImpGxFMp+6+gzqeghPf2gZCXZNkuDD3TbvoDc/wvUMX+D7DxEq0gblTp0JkTydvtEoVo1xZ04vY8JNGoVRo0aBQCQUmLjxo3YuHFjrfWFEDh06FBzhEZEREREREROMIFGdXbibDkUYV0HbFQvP3y9Ltu2LchXh8iQ1j2V4ahe/tiXUgYAGBvnh79NDYMQTKAREVHDiAOrICpKAACy20goB3+zr6BY/2wTJbmQPkHNHF0TCugA2WsixOE1tiKRfRJSZ4CwGCHS9gEWc6uaupLapo4dO2odAhEREREREdUBr0RQnU3sH4ABXX2w6WARyo0WmM9P36hXgD7R3q0+mTSkhw88PQQqTBL7T5YhLduIbUdKMCbOD5EhBq3DIyKilqi8GMoB61pnUucBFGZCWEx2VdTYSRAl2RDF2UBYdy2ibDLqoOshjm2EsBgBAKIsH2r7GIjMYxCF56Bs/hjq+Ls1jpKoYdauXat1CERERERERFQHitYBUMsU7K/HNSPb4a99Rbay+VeEYc6EEA2jah6eHgqG9vAFAOSXWPDUonSs3JmPzYeKLtKSiIjIOeXACgiTdXSz7BgHJfOY9bFvCNTIfpA6A2SvSVAn3gfLVc9qGWrT8A2GOuo2qAOvBQBIv1DIdp1sm0VKPKCqNTQmIiIiIiIiImp8HIFG9ZZbZEJWYdUaJf06+8DXS1dLi9ZjdG8/6zpw1WxKLMLUQYFo58d/VkREVAdlhRCJ1ukapd4TIvO49TEELJc+CITH2E9hKFrn/U+y92RIYynUbqOA4GigKBM4en7Ejk4PlBcCrWnqSiIiIiIiIiJya7zSTy4rKrNArwh4e1ov3G07WpVAigzxaDPJMwCIi/ZGgI+CwtKqu+ELy1T8tD0Pd04O0zAyIiJqccoLgXadgKwkICAcIjcVACDjpliTZ0DbWf/L4AOEdLY+DgiH9Au1TllpNgKevtrGRlQHo0aNghACixcvRlRUlK2sLoQQ2Lp1a1OER0RERERERC5oI1djqDGs2pmPP/cWYkSsL2aOCcb2IyW2bY9c20HDyJqfThEY1csPv+8utCtPOF7CBBoREdVNu06wXPMSROJqKNu/AgBI70Cow24EVBXK+ncgu46A7DwMUFrn6DMHqhniyFrI9j0hirMhzBUQ545ARvbTOjIil+Tl5UEIAbPZbFdWF619XWEiIiIiIiJ3xwQaucRskdh0qBhGs0T8sRJM6h+AU5lG2/a3V2birmlh6NjOoGGUzWt0b3+HBFpRmYozuUZEBLed40BERI1DnNqFysvl6tDZQF46RFEmlKStQNJWqL0nQ73k/2kaY7Mozobu15cgCs9BBkbYikXaPibQqMX46itrMjwiIsKhjIiIiIiIiFoGJtDIJXuTS1FYagEAjIz1w/aj9ut/pWZVILiNrf3Vpb0BHYM9cDbXZFe+Ykc+FlzRXqOoiIioJRKpu6GcPQgAkMHRkN1GQ/f1POvaZ+epPcZqFV7z8g0GTOUAAFFwBlIoEFKFSN0L9JoMBLatUe/UMg0fPtylMiIiIiIiInJfbWQeIGqoDYlVI61G9/bF+gNFdtt7RnjB06NtdSchBMb09nMo35NcqkE0RETU0ogjayFS4gGLBcqupbZydeStEFnHISwmCEio3UZBHXhN1XporZ1QINv3rPbcusaqyE+DbtmjgJG/s0RERERERETU9NrWkCGql7xiM/afLAMARIZ4ILfIjAqTtKvTt7O3FqFpblQvPyzbYr+eRWmFipMZ5egS7qVRVERE5PZM5VDiv4GoKIH0bw9RlAkAUCP6WKcpzD8DdcA1EOkHIHuOg4wepHHAzUv2uQwyNQFCSgi1aqS3UM0QKfGQsRO0C46ogQ4cOICkpCSUlZVBVVW7bRaLBRUVFcjMzMTGjRvx+++/axQlERERERERMYFGF7X9SDHk+XzZuD6O634BQJ/otplACwv0QPeOnkg6W2FX/vvuQiy4ggk0IiJyThxdC1FRYn1yfrpCAFAH32B9EBQBdfhNAG5q/uDcgOwYB8tVz0G/4l/25T7tIAPCtQmKqIGMRiPuu+8+bNq06aJ1pZQQQly0HhERERERETWdtjXnHtXLlsPW9c6EALp39MLJTKP1+fntPp4KuoZ7ahSd9sbG+TuUZRWandQkIiICoJqhHFgFAJBCQJRbb0yRHXsDHeOsdQrOaRWde1AUoEMvqN1G2ZebK9rOVJbU6nzzzTfYuHEjpJSIiopCnz59IKVEZGQkBgwYgA4dOkCev2tt4MCB+PjjjzWOmIiIiIiIqG1jAo1qlZZtRGqWNWEWF+WNvdXW96qcxDEuyguK0nbvkB0W44vKt6+3LtOC4+nlyCtmEo2IiByJ5O0QxdnWJwZfW7k6eIb1QXE2dMsegW7F88DZwxpE6D7UobMhz6+BBgDCWApkntAwIqL6W716NYQQeOqpp/DHH3/g22+/hbe3N3r37o3vv/8e69atw6efforAwEAcPXoU0dHRWodMRERERETUpjGBRrXaen70GQCMjPXFpoNFAABdtZ7Tt7NPc4flVvy9dRjYzXoMzBZrmQSQcLxEu6CIiMg9SQll/0rbU1Fh/Z2V4bGQ50efKZs/hVAtEOcOQ2Qe1yRMtxHYAbLnOLsiJW2vNrEQNVBKSgoCAwNxyy23AAAMBgN69eqFnTt32uqMGTMGL774IsrKyvDZZ581aH9ZWVl49tlnMX78ePTt2xdjxozBo48+itOnTzfodYmIiIiIiNoKJtCoRqqU2HrEmjAz6AVUKVFQas0QBflWLZ/Xp3PbXP+sutG9/RzKth8thqpKJ7WJiKjNyjgKkXMSACB9gmzFap/LrXMlSwmRnWLdDgHZe7IGQboPZef3EMc3AKga+S5S90KkJwKVo/iIWoiysjJERkbarW3WvXt3FBQUICMjw1Y2efJkBAcHY9u2bfXeV1ZWFmbOnInFixeje/fuuPXWW9GvXz+sXLkSM2bMwMmTJxvyVoiIiIiIiNoEJtCoRsfSypFbZE2YDerugzV7C23bekd7ITzIA2GBeoQHeWgVotsY2M0H3gbrxZDK6RyPn6nAjqPFtbQiIqK2Rjm8pupJ+fnRZ96BkF2GWcsKzkKU5VvLI/oAhrY9ylv6t4eQqvWJbwgAQOSkQLfqJYij67ULjKgeAgICUFZWZlfWqVMnAMCJE1VTkwohEBERgXPn6r8W4ttvv42zZ8/i8ccfx2effYZ//vOf+OCDD/Cf//wH+fn5ePXVV+v92kRERERERG0FE2hUoy3Vpm/s3N4Tp7NNtufRYZ54bW4UXrg5UovQ3I5Br2BYT+sotOqDzn5NyNcmICIicj9lhRDJ2wEA0uALoVrXypQxEwCddWS3SN1tqy67jWz2EN2N7DIcUjm/BprFZLdNSdoCSI70ppajZ8+eSE1NtUuMde3aFVJKHDhwwK5udnY2PDzqf5PamjVrEBwcjNtvv92u/Oqrr0Z0dDQ2b94MVVXr/fpERERERERtARNo5JTJLLHz/Bpe/t4Kks6W220f2sMXAODrpWv22NyVs2kcU7NMyC8xaxANERG5G5F3GvDwtD7RVU2FrPaaZHuspO6yPZbRg5stNrfl5QcZ2R8AIMqrRsJL/zCoo25D1cSORO5v6tSpMJvNmDdvHrZu3QoAGDJkCPR6PRYtWmRbm+y7777DuXPnEB0dXa/9WCwWLFiwAPfddx8UxfF0z2AwwGQywWQyOWlNRERERERElZhAI6cSU0tRWmG9K7VfFx/sTioFAAT6KLh2ZBBCA/S1NW+TekV5IcjX8Z/Un3sKndQmIqK2Rkb0gWXO+7AMvA6irAAAoEb2BwLCgcJMKKtfBc4dtdYN7Qr4BmsZrtuQ3UdXPdafT0CW5EGGdgME/5SllmPmzJmIi4vD8ePHMW/ePJhMJoSGhmL69OnIycnBFVdcgREjRuCFF16AEALXXnttvfaj0+lw++234+abb3bYlpSUhOTkZERHR8PT07OB74iIiIiIiKh1E1LWf+4bo9GMgoKyi1ckm7AwfwBAVlaRxpHU7uPfM7HpoHUKx+Exvog/Zh2NNntsMAZ09UFkiIfdAuhk9cuOXCzbkm9X5uel4J27O0Nxs+PVUvoitW7sh+QumrMvKuvfg3J8IwDAMvlhyK7Doax7B8qJzbY66uAboA6Z2eSxtAjGUui+XgBhMUEqOgjVuj6rGjsR6rgFGgfXuPid2LgCA71hMLjXTV/FxcV45513EB8fj+XLlwMACgsLsWDBAuzZs8dW79JLL8Vbb70Fna7xZntQVRVz587Ftm3b8Oijj2LevHmN9truiP+OiIiIiIi0U3l+29K51xkluQWzRWL3CeuIM39vBQdOWh97GQSC/XR48qs0BPnqcMvEEAyPcZy2sC0b1ycAy7fm262DVlyu4sjpcsRFe2sXGBERuYeKYojkbQAA6dMOsvNgwFwBkZ1iV03l9I1VDD6Q3UZBHN9oS54BgDixGRh5K2Dw0TA4orrx8/PD448/blcWEBCA7777Dnv27EF6ejq6dOmCvn37Nup+pZR49tlnsW3bNvTt29dhbTQiIiIiIiJyxAQaOVBViRvGtMPO4yWwqBLH0isAAOP7+uPoGevj/BILAry5/tmFgvz0GNTdB7vOJyArrTtQyAQaEVFbZSwFKooB//bWJJDFuu6QjJ0AKHpA0cNyzUvQfT3fOsrKOwgI7appyO5G7X2pbdSeBCAACIsJytbPAb8wqENnaRofUWMYNGgQBg0a1Oivazab8cwzz2D58uWIiorCe++9B4PB0Oj7AdxrhhKO6GxePN7Ni8e7+fGYNy8e7+bF4938eMybF49383LH492Q2UmYQCMHBg8FkwcGYtKAADz2aaqtPDbSC99vzAUAeHkI9Ijw0ipEtzahX4AtgWbQCxjNErtOlKCw1IIAHyYdiYjaGnFiM3RbPoPs0BsozgYASAiosZOq6pw5WJVY6zqca3tdqH0MZHA0RG4qqk+IrBzfBABQY8YBAR20iY2oHoqKipCfn4+Kiopa6/Xo0aNB+ykrK8ODDz6IDRs2oEuXLvj8888RHh7eoNckIiIiIiJqK5hAoxrtTylDVmHVVEnbj5Qgs8AMAOgd5Q29zr3W9HIX/Tp7I8hXh/wSC4xm61yOZguw5VARrhgapG1wRETU7CqTPOLcYVuZjBoI+IfZnovkrbbHardRzRZbiyEE1F6XQrf1c+ebU3ZCDpjezEER1d0ff/yBhQsXIjk5+aJ1hRA4dOhQvfdVUFCAefPmYd++fYiLi8Mnn3yCkJCQer8eERFRS6X/+EatQ4B53vdah0BERPXA25upRn/sKbB7HhHiYXvctzOnI6yJogiM6W2/Nlz7QD3a+TNfTUTU5uSfgcg8DgCQXlUL6Mrek4GMo0DhOesaaKd2Wct9g4EOsZqE6u5kz7GQHo6j36VvCGS/aRpERFQ327Ztw4MPPoikpCRIKS/6n6qq9d5XRUUFFixYgH379mH48OFYtGgRk2dEREREbiIrq8itprdr7Xi8qSF4RZ/sbDlUBIOHghB/HRJPWdcviAr1wC0TQ/DHnkJbvb5dmECrzZRBgfg1oSoBmVlgRmqmESN5TZSIqE1RTmyuelJRAsCaJJORfaH74R9AUTZkRB8Is3UaN9l1BKdvrInBB7L3FIj9K+yKRUkOxOk9kJ2HahQYkWs++eQTSCkxYsQIPPLII+jRowd8fHyaZF+vv/469uzZg0GDBuHjjz+GlxenXncHHAFB1Prw3zUREVHrxgQa2UgpsXRLLnKLLPDQV03PePmQIMREeuPNnzMAAKEBenQI8qjpZQhAsL8e/bp448DJqkXU9ySXYOYl7SAEp74kImoTpApxfvpGKRQIaR1NosZOgjixBaLQ+ruKnBRbE7XnuGYPsyVR+10JcfA323pxlZT9K2FhAo3cXGJiInx9ffHuu+/Cz8/v4g3qKSsrC9988w0AoFu3bvj444+d1ps/fz48PT2bLA4iIqL64kiR5sXjbc8dEuMAk+MX4w6fEz+jtoEJNLI5mWlEbpF1zTOzxbp2V4CPDiNifZF0tgJlRmtZ387eTAK5YPKAAFsCLSbCE/+Y0ZHHjYioLTl3FKI4y/pYZwDM5ZBCgew1CfD0g8VYCmXPTxDl1hNWGdoVCO2qYcAtgE8QZO/JEImrbUUSAjI4GlDNABRA4Qg+ck9GoxFdu3Zt0uQZAOzbtw8mkzXJ/MMPP9RY7/bbb2/VCTReDCQiIqLWgIkiamla29/hTKCRTef2BjxzYwS+35iD42esU0lN7OcPg15B4qlSWz2uf+aa/l190M5Xh7wSC1IyjCgosWDXiUJkF5pxy8RQrcMjIqImphzfaHsszOUAABk9GPANtj7ufxVkWYFtSkI1dmLzB9kCqYOuhzi+EeL8lJiAhAzpAmX1q0BwNNRRt2kaH1FNunfvjjNnzkBVVShNmOidPHkyjh492mSvX5uEhHjMnDnzovWuv34mnn32RbuyF154BsuXL3VpPwsW3Iu7777fruyBB+7Cxo3rXWr/9NPPY8aM2XZlN910PQ4fPuRS+4UL38P48ZPsyqZMGYusrCyX2i+eGYM+7e2n7+z77l6X2gLA2jv6oL1v1YwgmSUmTPrioGuN3+2FvXuP2BUdOpSIOXNmuNQ8LCwMf/65ya5sw4a1ePDBe1xq37t3HL77brld2bJli/HSS8+51H7cuAl4660P7Mref/9tfPjhuy61b2jfu3tYOO4d3tGu7N5fk7HhZGENLew9N6ETZvaxPxecteQoDmWV1dDCXkP73rffLkNcXF+7soEDe7nUFgD++GMD2rcPtz3PzMzA1KnjXW7fkvve5MmT8eWXX9qVWfveXpfaz4gLwb8mRtmV/WvdaSw7lONS+1r73rsX/wzb9PcegMR7B9o9P5hZitlLj7nUNsxHj3V32v+7WZ9SgPtWpdTQwl5cmDeWzLJfz6Mlfe+19N/chn7vadr3lox1+N5raN9bejAbz69Pc6n9+C4BePfKbnZlLanvNfQ3951pXTGha6Bd2cTPE5FVaq4qqOX7l7+57vX33qlTJ9GzZw+X2l+ICTSyUYRAtw6eSM+pmhYpwFcHAIgINqB3lBdOnKlAn2gm0FyhUwTG9fXHzzvyYbJIPLUoDeVGCSGAqYMC0Z7TYBIRtV5mI0TydgCAVPQQqvWPbNn70qo6qgpxfo00qTNAdh/T7GG2SF7+UIfMgm7r5wAAAUDZ+jmExQSZlQQMmQkY+LcKuZ8bb7wRTz/9NBYtWoTbb79d63A0tXt3gktlNUlIiHcoS0w84HL7vUvewI15P9qVpRw/7HL7Q189j0uPfWRXlpPt2oU8AEjOK3e4kFwX2aUmu4t52aWmWmq7EE9ykst1c3IcL/YnJu53uX1KSrJDWV0+e2efs7P+UJOG9r2d6cUOZQcySp3UdG7XmWKHi3nJeeUut09M3I/x4yfZ3dnt7DOpSXJyksPFvLrIycm2u5iXk5Nd79eqjMf1fWvb9/bu3etQVpe+t+uMY99xVlaThvY9fu85xuOqnDKzQ1ldjv2F+9J/fCP2/nnS5faJOzc7jEDateK4y+33rP0F+o729XfvLnC5/a4VX0Cv33JBTIkut29o36v83quuOb/3Mi57AcG9+1Q9P3wQ+OIGl9tfOHLr+MqfgaX/dKmts/fZkL4H1O17x9m+mvM3t6F/7zX0N/dARqlDAs3Z90FNtP7NvfB749TRXNf3nZ3l0P7Q9rMut3fHv/eKiuo/Ko4JNLKz60QJSiusa7QIAAO6WP/AGdnLDyN7+aHCpMLTg1MjuWpi/wD8siMfEkD5+SkwpQR+312AWydxFBoRUWslTiVAmM7f2aZap0eWfqGQ4b2rKikKLNe9AuXgb9bnnr7NHGXLJXtPhqW8CMru5RBQAZ0HYDEBAeFASS5giNQ6RGrjTpw44VA2YMAADB48GP/5z39w4sQJXHrppWjfvj0MBkONr9OjR/3ukiQiIiIiIqKGYwKN7Py1t2rqiTFxfg6jpJg8q5tgfz1iO3nhSJr9HQ4bEotw7ah28PfWaRQZERE1JRnWDeqAqyEO/WlLpKldR0L3/X2QvSdD7T/dmjDzCYI6TPs57VscRQc5ZAZk7imIkzshjKUwD5kFxVQOeAdevD1RE5s+fXqt25ctW4Zly5bVWkcIgUOHXJveqKUZPHio07KTJ12bkmjo0OEOZX379nN5Sp8hEY7r0HVr5+XylD79wh1HUYR46+2n9KlF57mvw3zhHckuTMFWKej/fQxztTuSgzIzgCWuT+lzoW7durtcNyQkxKGsb9/+Lrfv2rWbQ9ngwUOxatUKl9r37dvPoWzo0OHYtWunS+0b2veGRTr2nX7hPi5P4djQvjcg/XfoP95uVxbipSCrVHWpfc99n0J/9juX6joTEhJa6/O6akl9Ly6ur8OaLnXpe84++yERfkjJr3CpvdZ9r6Hfe93aeblUryahPh61Pq+rusQT4u146dTZ8ajLvoZE+GHlsXyX2jvb17BIPyScKXFS25Gzz57fe64L//1Z6DdX9bfwkrqNfrxwFE/PTNdHkDn73tO67zXnb25L/3uvLr9xzjT6b24zfu+54997/v7+LrV1RkgpZX0bG41mFBS41unIKizM+mG522J6b/1yDn7eOqw/YI2ra7gn/jUnAkIIjSNr+Q6nluKVZeccyq8eEYQZY4I1iMjKXfsitS3sh+QumqQvShW67x+EKM6CFDrIbiOhJFmnP7EMuwly4DWNt682SpzaBd0frwEAJKyj5y3DboQceK2WYdUbvxMbV2CgNwwGbe4X7NXL9WRIbY4cOXLxSm7EHc8PL7xwpYULp29yBzwuzrnTcXGHWAD3/JzciTt8Tu7UZ9wpFsC94mEszjGWmrlTPIzFOXf8jeRxca4h54YcgUY4m2dEwgn7OyCmDAqAEAJmi8SBU6WIi/Lm6LN66hXljU4hHkjLsb9L5Y89BbhiSCB8vTgKjYioNRLpByCKrWtDyC5DIAM7Quo9Ab0nZNQAjaNrHWTUAEjvQIiyqnUclH0rYel3pXVaRyKNtLTEFzUPXtCglsyd+q87xUJERMTfpdaNCTRCwnH75Jm/t4IRMdZhrsfPlOONnzLgoROYPS4YUwdxWqS6EkJgyqBAfL7GfrHHcqPEH3sKcd2odhpFRkRETUkcXmN7LHtNhuzUH5a4KVC2fw3dj09B9r4U6pAZgFeAhlG2cIoeMmY8xL5fUDlmXhiLIfb8BBk7HvBvr2l4RJXKy8vh5VXztClbtmxBnz59EBQU1HxBEbkJXnRqGXiM3B8/IyIiosbHBBoh4bj9vMnj+vrDQ2+9DLU32ZpcM1kkwgLYXeprdG8/LN6Ui9IK+zmaf99dgMsHB8Lbk6P7iIhahdzTUI6ugxo1AOLULgCADAiHjDy/1k1FCUTSVghpAY6uBwZwGseGUuOmQuxbAYGqWcl1e36AWpwNdcLdGkZGBBQXF+Ptt9/G0qVLsWrVKnTo0MGhjtlsxv333w+LxYJZs2bhoYcego+P62sMEBERuRsm84iIqLVgRqSNyy40ISXDftHaSf2r7oTfl2JNoHnoBOKivZs1ttbE00PB+L7+WL2rwK68tELFmn0FmD6co9CIiFoD5dh6KImroCSuspWpvS4FxPkbJQI7QB19B5T4b6EOngH4OS4MTXXkFwrZbSRE8ja7YnFiEzB0Fo8xaSYjIwN33HEHTp48CSkl4uPjcfXVVzvUS05OhtFohNlsxtdff40tW7bgyy+/RFhYmAZRE7VtvOhfM44UdH/8jIiIiBofE2ht3IWjz3pEeCIs0LpmSEaeCWdyret29Y7y4hpoDTR1cCB+21VQ7f54oH2gHp1CDJrFREREjUi1QJzYAgCQAAQAKXSAqQIwGwG9ARAKZNwUWDoPAbyDtIy2VVH7ToNyQQINgR0AiwkoOAsEdtQmMGqzVFXFPffcg5SUFLRr1w7z58/HuHHjnNaNiYlBfHw8li9fjrfffhvJycm4//778d1330EI4bQNERGRO3OHZB7AhB4RETUcE2ht3M4LEmizLwm2PY6vtm1wd99mi6m1CvHXY2hPX7tj3r2jJwbx2BIRtQoi/QBEWb71cWWhpy90e36APLoWlqufr1qTyzfY2UtQfYX3hGzfAyLzhK1I5J+BbsW/AEWB5dqXAZ8gzcKjtueXX37BwYMH0blzZyxatAjt29e+Hp+Pjw9uueUWjB8/HnPmzMG+ffuwevVqTJs2rZkiJiLAPS7684I/ERERkfvgkKI2LL/YjBNnqqZvjA4zICayanHznceKAQBCAEN7MsnTGKaPCLJ7vvN4CQpKzNoEQ0REjUoc3+hYWHH+pgmpAr6hzRtQG6P2d5waT5TlQ5TkQrd2IaBaNIiK2qqVK1dCCIGnnnrqosmz6qKiovDMM89ASolffvmlCSMkIiIiIiKii2ECrQ1LOFFiN53ghH7+tmliMvNNOJlpBAD06uSFAB+dBhG2Pl3ae9qtJWe2AGv2FmoYERERNQpjKcTJnXZFMqQL1FG3W6dzLCuAsvUzQErn7anBZJehkO2i7Mv01mmSxdnDUOK/1SIsaqMOHz6MgICAGqdtrM2UKVMQGBiIxMTEJoiMiIiIiIiIXMUEWhtVYVKxeFOu7bmHDhjVy8/2vPo0g8M4+qxRTRsSaPd8zb5CxB8rxus/nYPRrGoUFRERNYRI3gZhMdmVqR1ioWz/smo6R68A67BuahpCgTroOttTNaw7LJP+Dimsf+4qB36FOHNQq+iojSkoKEBkZGS92gohEBUVhfz8/MYNioiIiIiIiOqECbQ2amV8PipMVXfBj4j1g69X1SizygSaADC0BxNojalfF290CvGwPS8pV/HOykzsTS7FhgNFGkZGRET1pRzbYPdc6j2hHFkLcX7aQLXvNKhDZmoRWpsiu460jUJTspKgW/M6hKy6OUXZ9DFgNmoVHrUhXl5eDUqAFRUVwWAwNF5AREREREREVGdMoLVRyRkVds8n9Auwe371iCCM7u2HAd18EOSnb87QWj0hBK4YGuR028qd+RyFRkTU0hSchcg4Zl+mmm0j0tRel0IdeStHnzUHRYE68paq53rrDStSsf4tIwrPQdnzgxaRURvTrVs3ZGRk1CuJlpeXh/T0dHTs2LHxAyMiIiIiIiKXMYHWRhmrjT5rH6hHzwhPu+2Du/viriva4+FrOzR3aG3CqF5+CAtwXFcur9iCjYkchUZE1JKIc0chqyZqtK55VjnyrMclUMf8jcmzZiQ7DYAaNRAAIIxlUKOHQh18A6Te+reO2LcSyD+jYYTUFlxyySVQVRWff/55ndsuWrQIZrMZQ4YMaYLIiIiIiIiIyFVMoLVBRWUWHEsvtz2fPDAAghf2mpVeJ3D1iHZOt62I5yg0IqKWRMZOsBv1VPmLKv3CoI6/G1D451ZzU0fcYlv7TKTugi5hMWSn/tbn0gJlxzdahkdtwOzZs2EwGPDZZ5/hzz//dLndunXr8OGHH0IIgRkzZjRhhERERERERHQxvKLTBu0+UYLK8WeKAMbE+WsaT1s1Js4foQGO02NyFBoRUQujqlAO2V8glxCwXPk0oDiONqZm0K4TZK9LAQDi/F89IjMJMiAcAKCk7oJIP6BZeNT6hYeH4+mnn4bJZMJDDz2EZ599FsnJyTXWP378OJ588kncd999sFgsmDFjBvr379+MERMREREREdGFuLhVG5JXbEbiqTKs3V9oK+vb2Rv+3lUX91bvygdgnWIwyJfdoynpdQLThwfh8zXZAIDu4QYkZxohpXUU2vi+AfDQc2QgEZG7Eyc2QxSesz2Xod1gmXAvcD5ZQ9pQh82GOBkPUVYAABClubD0HAtdYQYAQNn+NSzXvwII3k9GTWPmzJk4efIkPvvsMyxduhRLly5FWFgYevbsiaCgIFgsFuTl5SEpKQk5OTkAACklpk+fjueee07j6ImIiIiIiIgZkjbklx35+GtfIaqnZKYNDbI9NlskVuzIR3G5ihU78vHWgs7Q7NCZzgAA+iBJREFU65jAaUpj+/jj1535yCwwIynDiD7RXjiYWo68Ygs2JBZi8sBArUMkIqKamI2AxQRl2xe2IunTDpbL/gH4BGkWFp3n6Qd19J3Q/fWmrUg5vgkSAgISIvcURPIOyO6jtIuRWr3HHnsMo0aNwvPPP4/Tp08jMzMTmZmZEEJASmlXt0ePHrjnnnswbdo0jaIlIiIiIiKi6phAayOKyqwJGQC26RsDfRT0ivKy1dmdVILicuvaW0N7+jJ51gz0OoGZlwTj3V8zAcBubbqfd3AUGhGROxPHN0LZ8hmEtP52SqHAcvnjTJ65Edl1BNTOQ6GcSgBQuT5dVdJC2f3/2bvv8Kiq/I/j7zsz6b0RktCr9CYgXZBiA7sidncVd21rWXetu5ZVd/1ZsNddFSsiiiI2OtKbIL0LCem9T7u/PwJDxgQIkmRSPq/n4dE595473zlzZnLv/c45Zyau9oO1Tp3UqeHDh/PDDz+wevVqVq5cyd69eyksLCQwMJDY2Fjat2/PqFGj6NChg69DFRERERERkUqUQGsmwoKsPHJlEq99k0FqrgOA8f0jsRhHkzM/bjg6teOonloXrb4M6hLCt+sC2JtWjsN1tLxf+2DcpgkogSYi0uCYJpZfvvUkzwDMziMhpq0Pg5IqDAP3sBsxUn7BcJYDYPoFYbbohCXlF4y8FIw9yzA7j/BxoNLUGYbB4MGDGTx4sK9DERERERERkRrSz22bkTZx/rjcFb+6tlpgRI9Qz7YDmeXsODz6qUPLADomBFZ7DKl9hmEweWS0V1mrGD9uGBdLgJ8+oiIiDVLGToz8FK8iy85FkL3fJ+HIcYRE4x58leeh4SjFbNHF89iy/nNwu6qrKSIiIiIiIiLNmO7ONyPrd5eQke8EoG+HYCJDjg5A/H59vuf/x/UNr/fYmrvTWgXRv0OQ53FytoO1u0t8GJGIiByPZd1nnv8/MiGgu8MZENPOJ/HI8ZndxuKObe95bNn6Pe62p1c8KM6GrH0+ikxEREREREREGipN4djElZa7CfQ3MAyDd37M9JSfWWmKxqwCJ8u3FQEQEWJlUJfQKseRunfNWXH88usBzzSOQf6HV2oxTQpKXESE6OMqItIglBVhHNrqeWh2Hom7dV/MhG4+DEqOy7DgPusvGDPuqph2s7wId8tuEBiKu8+FENHS1xGKiIiIiIiISAOjEWhN3KtzM3j040N8vy6P4rKKdVpsVujVPtizz9w1ebgOL+Fy7oAI/Gxac8sXYsJsXD4ixvP4kyU57E0t56//Pch9/ztIbpHTh9GJiMgRljUfedY+M22BuIfdiNlxKARH+TgyOa7weNx9JgEVq4taN87G2LsSY/dPvo1LRERERERERBokJdCasF2Hyti4r4S9aeV8sTLXU96nfTAWoyJJllXgZPHmQgBCAy2M7q3pG31pXN9wOrQMAOBApp1/fpxCRr6TUrvJi1+n4TbNExxBRETqVHkRxo5FnofuwVPAT+uGNhbm6ZfjTuwBgFFWgOEow7JxNhSk+TgyEREREREREWlolEBrwmxWg86JFckYq6UiYWYxYMqoo6OcHE437Q8nbM4eEEGgv7qEL1ksBn86pwWBflVHAbZtEeBJfIqIiA/YS7DOvO/o6LOAUMzu430clJwUw4J75FTMw0lPEzDbDYKgSCjJg4zdvoxOpM6kp6czYMAA3n33XV+HIiIiIiIi0mgoW9KEtY8P4KErErlsWBSFpRU3+wZ1CSEuws+zT0K0Pw9ensCdk+KZ0D/CV6FKJfFRflx7VmyV8p/3luBwagSaiIivWBa8hFGSc7SgvAjSdvguIPl9wlrgHnw1UDGVo5H8C5Y1n2D95A6sC18Gt8u38YnUsuLiYm6//XaKiop8HYqIiIiIiEijogRaE2cYBrtSyz2Px1QzRaNhGAzoFEKAn7pDQzGsWyidEgK8ynIKXSzdWuijiEREmrmMPRgHN3gVmQk9IL6zjwKSU2F2HY0ZEAqAUV6AcWA9hsuOUZCmNdGkSUlJSeGaa65h48aNvg5FRERERESk0VHGpInbfaiMn/eWAJAQ7UfXVhVTFhWU6NfVDZlhGNx3SQIBv5nKcfbKXJwuk9U7i8grdvooOhGRZsZegnXhSxz5Rna37IZr6A24z/wzGDqVapQsVsx2A48+LszA9AvE1XsiZtvTfReXSC169913mThxItu3b+eMM87wdTgiIiIiIiKNju76NDFu0+S9+VnsTSsD4MNF2Z5tXZMCMQyDdbuLueedA6zcrmlcGrJAfwt3TIz3KsstcvH0zEO8PCeD17/NxG1qSkcRkTplmlgWvYZRkFbxsGU33Oc9hNljAoTGnKCyNGTugZMxLTagYipHDCuWbT9ipG33aVwiteX9998nKSmJDz74gAsuuMDX4YiIiIiIiDQ6hmn+/jvwdruT/PzS2oynyYuLCwMgM7NupuJbsb2I1+ZmAHDu6eHMXVvg2fbsH1pTUu7myRmHKLVXvO3/uDKRjgmBdRKL1I43v8vgp63VJzvvvrAlfTsE/67j1nVfFKkJ9UNpKI7VF42NX2Fd/REAZnAUroueguDI+g5P6ohl7QwsG2Z5lZlBkbgu/Q8EVp32uq7pO7F2RUQE4e9v83UYPrN06VKGDh2K1Wpl1qxZ3H///dx///1cf/31vg6tXuhzJCIiIiLiO0eubxs7jUBrYlbvOJpo2Ztq9/x/mzh/yh0m//k81ZM8G907TMmzRuDq0bFEBFurlF80JOp3J89EROTEjENbsBxJngHu+C7gp7+bTYm7zyTM3yTKzMQe4BcMTvsxaok0DiNGjMBqrXoOKSIiIiIiIjXTfH+S2UTdPimeFduK2J1axsJNR391eWavMJ767BCFpW4AerUN4uozY30VppyE4AALf5wQx7NfpHmVz1mdR2K0H4O7hvooMhGRJqw4B8v8aZ51zwzAum8VrriOmH0m+TIyqU1+gbgHXYl1yRueIuPQViyLX8PI2ofr0mfAogSESE01pBlKNKKzfqm965fau/6pzeuX2rt+qb3rn9q8fqm961dDbO9TmZ1EI9CaGIthMKx7GJjgPjw5Z3CAhY8X53iSZ91aB3LnpHj8bMZxjiQNSZ/2wYzq6T3s1eEyeeWbDL5alcspzMQqIiK/5XZinT8No6zAq9j0C8LsPt5HQUldMTuPwoxp63lslOZi2bMMI/8Qxu6lPoxMRERERERERHxJI9CaoHKHm0Wbj2Z4S8rdnv/v3zGYP53bAn8/5U4bmymjYthyoJSsAqdX+cxluexMKePKUTEkxfj7KDoRkabDsupDjPQdVcrdfS/UFI5NkcWCe/A1WOc+UXXT2s9wtR0EAZoyWUREmrdrn9vr6xB4/+4Ovg5BREREmhllUZqAwlIXKdlH1+mYviALl9t7H8OACwZHcsekeAKUPGuUggIs/OncFlgODxw0Kg0g3LS/lH99eohyh8s3wYmINBHGnhVYNn9bpdwMDMPsMcEHEUl9MJN64m47ANPq51VuFGdj+fZfPopKRERERERERHxJmZQmYPbKXB54P5m3v88gNcfOT1uLPNuC/A3axPnz4OWJXDIsGouhaRsbs86JgVwyLBoA0/ROohWVuXlyRioOp6ZzFBH5PVxZB7Aseb3abe7+l2r0WRPnHnoDrskv4e441KvckrkHY8dCH0UlIiIiIiIi0nhkZhY2qPXPTpWmcGzksgoczN9YgGnCsm1FpOU5PGufRYdZuf+yROIibEqcNSHnDYxg0aYCMgucmCaEBlooKqsYcrgv3c7Lc9K5fWI8NqvecxGRmjLtpRTO/BeGs7zqtvCWmN3O8kFUUq9CYwFwD70RI3UbRkmuZ5NxcANm19G+ikxEpMFrSjdJREREGhJNoSviW0qgNWJ2p5tFvxy9UHG5YWfK0Rt/N09oQXykX3VVpRGzGAZ3X9SS+99LBipGnvVuF8Tu1HJKyt1s2FvCW99ncss5cRhKnIqInJhpUjz3Rcyc5Go3uwddCRadMjUbgaG4R07F+t3TniLLvtWYe1Zgdhziw8BE5GQooSMiIlIzDeFvppJEIrVDn6Xap7tBjdSOlDLe/j6T9DxHtdu7JAbQvU1QPUcl9SUpxp8xvcNYsKniJGfT/lIuPCOS79fnU2o3WbG9iIQoPy4cEuXjSEVEGj5jy3c4ti4BwDQsGObRhUTNFp0x2w3yVWjiI2ZMW8yweIzCdE+Z5ae3cbXsCiHRPoxMRKR2NKSbKw0pFhFpGBpCQkdERASUQGt03G6Tr1bl8cXKXMzDUzX62wxiwmyk5lYk0ywG3HZ+vA+jlPpw5agY1uwqprC04kZvYowfd05qyTOzUnG5YdaKXFpE+jG0W6iPIxURacDSd2BZ+cHhB4YneWZGtQZ7Ka4zrvFecFKaBcvK6V7JMwDDXozlx2chtgPuYTeAoaWEpfG4+OKLufjii30dhk80pORMQ4pFqqf3SE5WQ+ozDSmWhkZtUz21i+8oSSzSeCiB1ojYHW5enZvB+j0lnrJebYNoHx/AV6vzPGUTB0cSGaq3tqkL8LNw47g4pn1VcYPvi+V5PDQ5ka5JgWw9WAbAOz9k0irWjzZxAb4MVUSkYSrNx/rDsximq+Kx1QYuByYGrtG3QlQrTd3YTLkHTcH4dR2GsxwTOJJCtWTugcw9YPPHfcY1vgxRpEFau3Y1l1122Qn3a9euPV9++a1X2YUXnsP+/ftq9DwDBgzknXeme5WNGTOMnJzsGtWPbD+aNiP+6lX2y4cXYbqqroNZnRa9JtOy37VeZZvePw8wq92/7/vej1sNv5foDmN+U//cGj03QKfzXiQ4ppPncUn2bnZ/c0eN6vZ9H37+ebtXWc7eBST/9H81fHaD3td+41WStuF9Mn75pGa1rQH0uuoLr7IDS58hb9/CGtW3BkbS4/KPvMp2f3cfJRmba1Q/ILwVXS9806tsx5c30/f96qdx/q3gFj3pdPZ/vMq2zJiCqyyvRvVr0vd+218qu+mmW7j11r94lfXv3x232119hd944ol/c/75F3iV9e17Wo3qwqn1PYDe1871enyyfY+7t3mVvPLKC7z11us1qh0YGMjKlT97lT3wwF+ZO/frGtWPjY1l48aNXmV/+MM1bFq3pkb1j9X3ygtOve8dr88cUV/fe8eKxZffe3Dqfa+2v/dOpu9FR8ewYMEyr7I//OEa1tWw753q39y6/t47Uf892b+5v3Uyfa+6WD7++HO6devhebxt2xauvPKSGj03VP2bO2fObB566G81qmuxWFi/fqtXma//5tZn3zvV871zz53Ik08+AxxNWJ5xRl/KyspqVN/Xf3NPte/58nvvjBmn9je3Lr73Nm/+hf79+9Wo/m/prlAjUe5w85/PU9l16OjJzWmtAhnSLYQ3v8vylCVE2bjoDE3b11z07xhM73ZBbNpfSmqugzmr89ifYfdsd7hMXvo6g8euSiIoQL+UFxHxcLuwfP8MRlkBAEZIFGZxLgBmjwkQ086HwYnPhcbiHnwV1mX/pdrxhwd/hkFTwGKt58BERMSXurUO4p3fjJYYM8dKTs3uxTG0WyhP/qb+GTMMyly1FWHdevzqJLp1Oxr/tm2lXPnNcSr8xm9HmsyZ8wsP/VSzuhaLb2cEcLtNjRiRWnHtc3s5sK2oxvvnl7iqjBTbfbC0xvVTcxwNYqRZY/XwBykExxxdIqckO+Wk6v+27XP2ZtZKXNLwvf5dJjN2/v7P3qn2Pak9SqA1Ev42g6QYf3YdKsdmAacbtieXERxw9CTSaoG7Lkzw+Yml1B/DMLh6dCwPvp+Mw2Xyw4Z8zuwVxoKNhUSFWskpcpGe5+CdHzO59bwWGJqGTEQEAMvaT7Fk7vY89iTPQmJwn36Fr8KSBsTsNg73wZ+xHFhfZZslLwVz52LM08ZUU1NE5PhuOTuO88/3TiTUZATJEaeaxBARERFp6pZvK6qSwCx31GzkIsDslXmsKveu73bXvL40HYZpmr/7nbfbneTn1/xXDwJxcWHA75vr1uU2+WBhFlGhNuauzcfPZoBpkl9SMXT0mtExjOsXUavxSuMwd20enyzJASA4wKCk3MTPauDvZ1BcVn3/OJW+KFJb1A/FF4z9a7H+WDF1gQlgWD3TOJrhLXFNuA8iE30XoDQcpflYZ/0doyS3yiYTcA//I2a3sbX2dPpOrF0REUH4++v3gvWpIV4fNoRf3TfE9V0aUrsoFm8Nsb9Aw2obxeKtIfaZhtAuoPfpRBpSuyiWqhpSPA0xloakIbVLQ4qlITmVa0NdUTZgRaUuQoOOTg1ktRhMGhxFdoGTgZ1DeOGrNFJzKm749esQzFl9w30VqvjY2f0j2JtWzhmnhbBqRzGrdhTTtoU/F54RxbNfpmGa8NHibDq0DKBjQqCvwxUR8Z38VCyLXz36OCIRI//Q0cdFmeBuJPMoSd0LisA17h6scx7FcDm8NhmA9ae3cYbFYZQXY3Yc6psYRaTR0A0NkaZHnykREZGmTQm0BmrVjiLe+TGTv0xqSfc2FfOdfr8+n8+X5xBgsxAbbiM1xwlAQrQft5zTAoum52u2LBaD286PB6B/hxDiwnOZ0D+ciBAbFw+J4vPlubjc8PKcDB67OomwIK3ZIiLNUEEa1u//g2EvAcDdZRQU53gl0NwDLoPo1r6KUBqiFp1wD78J6+HEq4mBUWnRcuv8aRj2ElyleZg9q1+QXERE5GQ1hIQrKEHUmDSEPtNQ+0tDikvvk0jt0GdJ6osSaA3Q9+vz+WhRNibwwldpPHF1K6xWg0M5dsrsJmV2F/klFb+Ojwqxcu9FLQkKsPg2aGkwLBaDy0dEA5CR56DM4fZsyy508uZ3Gdx1YUtfhSci4htZv2Kd/SCGu+LHJ2ZcR9zD/oBl5XRI+QUAa2IXnL0n+jJKaaDMLiNxFWZg2fA57hE3YxRmYNnwBYAnIWvZ9A2urmeBX4AvQxUREZF6pBu4IiIiTZsSaA2I2zSZsTSHuWvzPWWje4VTYnfx+MepDO4SgtUCrsP5kLAgC/ddmkBchJ+PIpaGyjRNZi7L5fv1+Vh/k1vduK+Ur1fl8seJmvJTRJoJpx3r148cTZ75B+Madw/Gr+uwbPuxYp+AYEIuuI9yp0boSvXM/pfganc6xLTDBMyY9liWvoVRXrFemVGcjfWT2zETe+A+809g9a/lAEwoycXI3g8FaYCB2W4QhMbU7vOIiIiINDFKdIqIyO+lBFoDYXe6eev7TFbtKPaUdUoI4NJh0dz/3kEcLpOfthV5toUGWvjrJQkkxdTyzRlpEpZuKeLr1XkAWKqZ2fPz5XnERQdzwbC4+g1MRMQHjO3zMZzlAJiAu/ckKC/GsvQNzz4h596BNSoBMgt9FKU0eIYBMe08D832g3C16Ij168cwCtMrdikrwNi7AmP/GszTxmC2H4zZojPYTvJ8ze2GglSM7F8xsvZB9q8Y2fsxygq8djP3rsQ16dFTfWUiIiIiIiIiUg0l0BqAghIXz36Ryr50u1f5/oxyispcnN4phLnrjo5Kiw238deLW5IQreSZVG9Y91C2J5fy09Yi3IeXaemYEMC+tHLP49fnHGLdrkIuHRpBQpT6kog0Tca+VVhWvH+0wOqPZf1M2DwXw1EGgLv7ePy7jfBRhNKYGftWeZJnptUfw1VxLme4nRhbf4CtP2BabBDXETO+M2ZYPITFYgZHHR6hZkJ5MUZpARSkUVyehStzP9b0fZ6k7/GYIdF1+fJEREREREREmjUl0HxsZ3Ipz36ZRqnd9Cr3txmM7BnGV6tymb/x6K/hOyUEcMfEeCJD9dbJsVktBjdNiCM82OqZEnRPajkJUX7klzgpKa/ob2t2FLJ+VyFn9grnwjMiiQhRvxKRJiA/DePgegiLx7LgJQwqvvPcrfpgSd5Ysc/hkTzuhO64z7jWV5FKY2aaGKnbPQ+PJM9Miw1MF4ZZ0e8MtxPSd2Ck7zjhIY/8lKqaweOYYS0wY9phxrSDqFaYwZHQotOpvQYREREREREROSbdLfehzftLeH52Og7X0eSZv81gdO8whpwWwseLc9mRUubZNrZPOFPOjMFmre62iog3wzCYPDKGNnH+/G9eFuUOk9RcB1AxreORkWguN8zfWMCyrYWM6xfBhP4RhAdrDSARaZyM3T9VrEvlLMfEgkHFwqHunufgHnw1zHsOLFbMdoOwbPwa99i7warTIfkdDAP3uLsxkzdhWf1Rxdpk4FlrD8A0DAiJhaLMapNi1bLYMKNaYca0PZowi2kL/sG1/QpERERERERE5Dh0x8gHsvIdvDwnndU7j653ZgDj+oUzqHMIL87JYP7GApyuim1+VoMbxsUyvHuYbwKWRm1otzDaxQfwvx+zPAlZt1l1vzKHyder8/huXT6jeoVx7ukRxIb71XO0IiKnyDQ9U995kmfdx+M+4xowLLjH3AFWPzAsuDoMBYvFl9FKE2C26o0rqRdG6laMLd9j/Lrm6Ogz04SizIr9IhJwd58AznKM8kJwHh5vFhCCGRAKYS2Iat8JS1QCWTllx3o6EREREREREaknSqDVo6JSF59+mcyCDbmU2t2e8i6JAdw4Po5AP4N73zmI8+gmEqP9+PN5LWgTF+CDiKWpSIz254HLE1ixvZhZy3PIyK/4dXzlkWhWS8VoNIfLZN7PBSzcVMCQ00I5b2AkSTFaI01EGgGnHePQFq8id6s+uPtcgLHxa8w+k8BW6e+pkmdSWwwDM7EHZmIPKMzEsn0exvaFGGUFmIaBYZoY+alY1n2Gu/MI3EOuBaNq/7PGHvmxlBJoIiIiIiIiIr6mBFo9KCl3M/OnbBZsKvQa+RMdauWqM2M4vXMIm/aV8t8fM72SZyN7hHLtmFj8/XSDT06dYRgM7RbK4K4hrNpRhAMr8VH+PP3xAdxmRfIMKkZDmlQ8/mlrEcu2FjGuXzhXj471ZfgiIt5MN8belRipW3EP/yOkbsO64EWMklyv3YysvVhn/Q2jvAiXYVQk0UTqUlgc7oFXQv9LMfathtJ8LDsXY+T8imEvxrrlO8ztC3D3uQCz3wVg0em4iIiIiIiISEOkK/Y6UlTqYsuBUlbvKmLdrhKvxJlhwPDuoUSF2IiLsPH2D5ks3VLk2R7ob3DL2S3o3ynEB5FLU2e1GAztFkZcXMWv3IsKy3nlm3RPAu23szuagNNlYne68bdVJHPdpolBRVJORMQXLAtfxrJnecWD9J0YOQeqrDFlBkd5JdQsu5bi6nE22DSqVuqB1Q+z0zAAXN3OwrLgRSy/rgPAcNmxrv8Mc8dC3KdfitlpBFi0/qiIiIiIiIhIQ6IEWi1auaOIOavzKCp1kVPkqnaf6DAbFw6L47/fpQLw7fo8HEfXmueMriFcMyaWsCDdRJH6cXrnEP5yQUumzU7zGgFZ2YJNhSzeXEhokJX2LQIY3DWEL1fm0r11EGefHkFClG5Gi0g9crsxQ6I9Dy05B7w2m0GRUF7slTxzdx6Je+gNSp6Jb9gCcI+7F3P1h1g2zfEke43iLKyLX8fc8CVmUi+co67AFp3g01BFREREREREpIISaLWotNzNgUx7tdsC/AwuHRbFlHFJrN1Z6Jkm70jyLDzYynVnxTKws0adSf3r0z6Yf1yZxH9mpVJYejSLdqSfQsWUjvnFLn7eV4LVCul5TtLzChnYJYTdh8rplBBAfJQfG/eW0K+j+rGI1IBpgssBptv7n7vS/5fkYtmxCDMiAVxOjIMbMDL3YLid3ocC8AsCRylGad7R8qAI3EOuw+w4tF5fmkgVhoE5+Gpcrftjnf8CRlnB0U0FaRgFaRRu+xFbp4Fw5l3VrpEmIiIiIiIiIvVHCbRaUu5wszetjEA/g/BgK+HBVnanlgPQvoU/d13Ukl/2l3L363vYcbDEq+7oXmFcOjxao87Ep9rGB/D09a2ZviCLlTuKgaPJs+hQKwWlLpyHB1ZaLQb+NgOb1SAz38H/5mUDEBxgITrMyr70cjq2DKRDQoD6tYhUr6wI65xHMXIPntJhTMCM6whWfyxp246W2wIwe52Hu/dE8A86xWBFalFid1yXP49l5XQsOxdV2ezcvQZr9n24xtwJ0a3B5cT6zeOYIVGYrfthdhnlXSFzT8U6an6BEB5fP69BREREREREpBlQAu0UmKZJRp6TdXuKmbU8F7vTpHvrQP5+WSJ2h5vb3zhAqd1NcraD+/57gDKHd/1OCQFcMyaW9vEBvnkBIr8RFmTlz+fFM+S0Yj5ZkkNqbkWnrTwlaVKMjWB/g4vOiCTA38KGvaWebSXlbkrK3SRn5XnK4iNtdGwZyKCuIfTXyDQROczI2ntKyTPT6o/ZfjDu06+AsFiM7QsgbRtmeEvcPcZjdh4FAfrOkQYqIAT3qFswO5yBZdl/MQozvLfnHcLI3o8ZHg8FaRjpOzAAd1BklQSa9ZsnMBylmC1PwzXxn/X2EkRERERERESauiaVQNu0r4S0XAd+NoOh3UIJ8Ds69Y3bNDGAJZsL+XhJDuUONzaLgdUCNquBzWbgb7MQYDPw9zMI8LMQ6GfgZ7NgtYDFMHG4oLjMjctt0q5FAAWlLpZuKQLAevipth4s4+63fiW32IXr8Ex4DldF3SO6tw3m3P7h9GoXhGEYiDQ0/TqG0Lt9MMu3FfHDhnx+zTg6NWlKtpOU7KIaH6tiqscidqSUsnJ7EZGhNqJCKkZpYkC7Fv5EhtgIDrDo8yDSjJgJ3XH3mQQ5BzEy90JZPtiCIDAUyovAWY5hHmNhRsA9cipmp2FHj9duEM6YthDbXlPfSaNhtu6L67LnMLbNw7Lhc4yyQgAM04110Su49yzH7HYWpsWK4XZhpGzG2PQNZnwXiG0HFis4yiqOVZf93l5SkdTLP4SRnwp5qRiF6VCaj/u0szD7X1J3zy0iIiIiIiLiI00qgbZsWxErtlfc2B/QKYQAv0rbthbx7rwsTEzPNHQu95EJ6jyrPNX4ubYcKPN67Kp0jy+rsOpxokKsDOwSwkUjW9KuZRCZmYU1fi4RX7BaDEb0CGNEjzD2p5ezfk8xm38tZW9aOZ6PzknILnSRfXhqyGqfz4CIECuRoTYigq0E+luwWcHPauBnM/CzWujbIZguSYGn8KpEpF6YJpQXVyTFSgsq1nrK2IORexCjJA/cTijKhMBwXJNfxDr9ZgwAZylu/3gsRZnVHxYgIgEzqhUEhXtvDAyt+CfS2FhtmD3PxtX1TMLT1lK29ivcWQcAMNsOwGx7Oq7JL2L76FaMvGSsq6ZXbLPYKqZ4jG6N2y8IM6Il5ByA6Da1Epax+yeM7Qsw8lIwSvOPvV9xNr/jtEBERERERESkwWtSCTSH82gWy8/qPZKloMSFw1X3l/dWC4QHW4kNt5EU40+rWH+6tw4iKcYPwzCIi9M6LNL4tIsPoF18ABcPBYfTJLPAQVqug6x8J0VlLorK3JQ73JQ7TModJnaHm3KnSbnDTZm94l+p3Txu4s1lVkwVWXm6yN/6fn0+L05tQ0jgsddVM02TkvKKWKLDvL/ivlmTR3K2ncISFwUlLkrKK74z/u8PtXOzUaSpMX7+Esvm7/D80MTpAEfldTwNMAwIjsSMaoORuhUMICgCo7D6JFhlptMObhdmXAeMgz97DmkGRUBYHGZoHITHY0a1woxqDREJYPOv5Vcp0kD4BRLQ/xz8+51N1pb1WPatwmx7esW2omzMsBZeUz0abidk7av4f4D0HZg7FmN2Hl4xMs1iA4yKz2X54ZHjpgmYFUlslwtMF7jdEBCK69wHIKbt0XhK8rGkbj1muKYtAIKjIECJaxEREREREWmamlQC7YIzohjRMwyH0yTAzzuBFh5spXNiALlFLs4fGEFUqK1iakWnycEsO3PXVvyytlvrQNrHBxy+6W/idJts3FeC1QJRoTYGdw0lJsxKQpQ/AX4WrNaKkTo2q0GAzSAkUNPQSdPmZzNIjPYnMfrkbmK7TZPCEhe5xS5yi5xs3FvC9uQyMvIdnlGhJxIbYaO4zMVjnxzCz2pgtRg4XSYOl4nTVZGwKyl343JDfKQfz9zY2qv+2t3F7Ektr3Jc0zT1uRWphuEowyjNO84eZsUN+eIcjOKco8UnSJ6ZVn+ITMQMiwNHGe6hN8DaTzFbdsNs1QvCW9ZK/CKNkWEYEN8Fd3yXo4XxXXBdMQ3L0rew7FgAULE+WnEOhuvoIruG6cLYufjkn7Qsv2IkWeUEWlQiJkZFMjsyqeIzG5FQMQo0MhGCIisS6CIiIiIiIiJNVJNKoLVtEUDbFgHVbjsyFV11Ssrd9O8YgmmaxITbiA33q3Y/Efn9LIZBRIiNiBAb7VoE0K9DCABut8n+jHK2HChj64FSdh0qw+48OlTt/IGRDO0Wistt0irWn0PZDlJzHMd6Go+isqpZufDgoyPXgvwNQgKt+FkNXG6wHXtQm0izZQZFVEyXeGSkmb0Mig6PgDEsFWWHR7QY5vFHeZsYFaPHgiJw970Q87QxRzcGhOAec0edvQ6RJsEwcI+4CfeASzFyD2K26AK2ACjKwshPwdg2H8uva0/6sCYGRMQf/ixXKk/sheuG9zTqU0RERERERJqtJpVA+72CAyxaV0nERywWgw4tA+nQMpCJgyJxmyZZ+U5ScuwcynbQrXUQrWKP3rwzMYkKteJwmrjcJjarUWmdtIqkWFiQhbBga5WRZdeMjuW6MRAWZMXPpl/Ni5yI2fMcXD3PqdnOLic4y8BRBs5ycLsqppEzrOAfBIFhFUk3Efn9DANCojFDoo+WhbfADG+B2aovbkcp2EsrPn9uJ2BWfAYtFsBaMdej6QKrP/gFViTHjvW5tOoyQURERERERJo3XRmLSINiMQxaRPrRItKPfh2qbm8TF8C0m9tW3VADseH6yhOpM1YbWEO1HpKIrxgG+AdX/BMBnE4nH3zwATNmzCA5OZm4uDguvvhibr75Zvz8NOOGiIiIiIjIiein4CIiIiIiIk3MY489xlNPPUVkZCTXXnst8fHxvPjii9xzzz2+Dk1ERERERKRR0HAMERERERGRJmT9+vV8+umnTJgwgWnTpmEYBqZp8ve//50vv/yShQsXMnr0aF+HKSIiIiIi0qBpBJqIiIiIiEgT8uGHHwJw2223edaDNQyDu+++G8Mw+Oyzz3wZnoiIiIiISKOgBJqIiIiIiEgTsnbtWqKioujSpYtXeXx8PO3atWPNmjU+ikxERERERKTxUAJNRERERESkibDb7aSlpdGmTZtqtyclJVFQUEBOTk49RyYiIiIiItK4GKZpmr+3sttt4nS6ajOeJs/fv2LZObvd6eNIpLlTX5SGQP1QGgr1RWkI1A9rl81mxWIxfB1GvcvIyGDEiBEMHz6cd955p8r2v/zlL3z77bf88MMPtG3b1gcR1g99jkREREREfOfI9W1jd0qvwmIxmkxD1De1mzQU6ovSEKgfSkOhvigNgfqhnAqnsyJx5O/vX+32I+Xl5eX1FpMv6HMkIiIiIiKnSlM4ioiIiIiINBGBgYEAOByOarfb7XYAgoKC6i0mERERERGRxkgJNBERERERkSYiNDQUi8VCUVFRtdsLCwsBCAsLq8+wREREREREGh0l0ERERERERJoIf39/EhMTSU5OrnZ7cnIyUVFRREZG1m9gIiIiIiIijYwSaCIiIiIiIk3IgAEDyMzMZN++fV7l6enp/Prrr/Tt29c3gYmIiIiIiDQiSqCJiIiIiIg0IRdeeCEAzz//PG63GwDTNHnuuecwTZMrrrjCh9GJiIiIiIg0DoZpmqavgxAREREREZHac9dddzF37lx69+7N4MGD2bBhA2vXrmXChAlMmzYNwzB8HaKIiIiIiEiDpgSaiIiIiIhIE+NwOHjzzTf54osvSE9PJzExkUmTJnHTTTfh7+/v6/BEREREREQaPCXQRERERERERERERERERCrRGmgiIiIiIiIiIiIiIiIilSiBJiIiIiIiIiIiIiIiIlKJEmgiIiIiIiIiIiIiIiIilSiBJiIiIiIiIiIiIiIiIlKJEmgiIiIiIiIiIiIiIiIilSiBJiIiIiIiIiIiIiIiIlKJEmgiIiIiIiIiIiIiIiIilSiBJiIiIiIiIiIiIiIiIlKJEmgiIiIiIiIiIiIiIiIilSiBJiIiIiIiIiIiIiIiIlKJEmgiIiIiIiIiIiIiIiIilSiB1kB88MEHdO3alYKCAl+HIk2c0+nk3Xff5dxzz6V3796cddZZvPLKKzgcDl+HJs1Ueno6AwYM4N133/V1KNIMZWZm8sgjjzBq1Ch69uzJsGHDuPfeezl48KCvQ5NmJDc3lyeeeIKxY8fSu3dvzj33XN5++22cTqevQxNpdHSue+qef/55unbtWu2/u+66y2vfL7/8kgsvvJC+ffsycuRInnrqKYqLi6s97qJFi7jiiivo168fQ4YM4YEHHiA7O7s+XlKDc6Lz37pq1w0bNnD99dczcOBABg0axB133NFsznmO1+afffbZMfv85ZdfXmV/tXn1Tua8Wn28dtS0zdXHa8fJnLOrj9eOmra5+njt+/e//03Xrl1ZtWpVlW3NrX/bfB2AwNq1a3nmmWd8HYY0E4899hiffvopAwYMYMyYMaxfv54XX3yRHTt28OKLL/o6PGlmiouLuf322ykqKvJ1KNIMZWZmctlll5GamsqwYcM499xz2bdvH3PmzGHp0qV8+umntGvXztdhShNXVFTElClT2Lt3L6NHj2bcuHGsX7+eZ555hrVr1/Laa69hGIavwxRpNHSue+p27NiBv78/N998c5VtnTt39vz/G2+8wXPPPUfXrl25+uqr2blzJ++++y4bN27k/fffx9/f37PvnDlzuOeee2jdujVXXnklqampfPHFF6xZs4bPP/+c8PDwenltDcGJzn/rql3XrFnDDTfcQEREBBdddBGFhYXMmTOHVatW8fnnn9OqVas6f+2+cqI237FjBwA33XQTAQEBXttatmzp9VhtXr2TOa9WH68dJ9Pm6uOn7mTO2dXHa8fJtLn6eO3atGkT7733XrXbmmX/NsWn5syZY/bp08fs0qWL2aVLFzM/P9/XIUkTtm7dOrNLly7m7bffbrrdbtM0TdPtdpv33Xef2aVLF3PBggU+jlCak+TkZPOiiy7yfP/973//83VI0sw8/PDDZpcuXcz//ve/XuWzZ882u3TpYk6dOtVHkUlz8uyzz5pdunQx33vvPa/yu+++2+zSpYu5cOFC3wQm0gjpXLd2jB492rzwwguPu09KSorZvXt384orrjDtdrun/IUXXjC7dOliTp8+3VNWVFRkDho0yDzrrLPMwsJCT/lnn31mdunSxXz66adr/0U0UCc6/62rdnW73eaECRPM008/3UxNTfWUL1++3Ozatat5++2318GrbRhqcs1x9dVXm4MGDTrhsdTmx1bT82r18dpzMtcy6uOnrqbn7OrjtedkrpPUx2tPeXm5ef7553v+bq5cudKzrbn2b03h6CM5OTncdttt3H333URHR9O2bVtfhyTNwIcffgjAbbfd5vmVhmEY3H333RiGwWeffebL8KQZeffdd5k4cSLbt2/njDPO8HU40kzNmzeP6OhorrvuOq/ySZMm0aZNG3766SfcbrePopPmIiUlhYSEBKZMmeJVfu655wIV01iISM3oXPfUFRUVkZKSQteuXY+736efforT6WTq1Kn4+fl5ym+55RZCQ0O92vqbb74hLy+P66+/ntDQUE/5pZdeSvv27Zk1axYul6v2X0wDU5Pz37pq1+XLl7Nv3z4uvfRSr1/iDxkyhGHDhjFv3jxyc3Nr+yX7XE2vOXbu3EmXLl1OeDy1+bHV9Lxafbz2nMy1jPr4qavpObv6eO05mesk9fHa8/rrr7Nv3z6GDh1aZVtz7d9KoPnIrl27mDdvHhdffDFffvkl8fHxvg5JmoG1a9cSFRVV5Y9KfHw87dq1Y82aNT6KTJqb999/n6SkJD744AMuuOACX4cjzZDL5WLq1KncdtttWCxVT4f8/f1xOBxaM0fq3LPPPsuiRYuw2bxnVt+7dy8AsbGxvghLpFHSue6p2759O8AJE2hH2nLgwIFe5QEBAfTt25ft27dTWFjote/gwYOrHGfQoEHk5eWxa9euU469oavJ+W9dtevx9h08eDAul4t169b9zlfWcNWkzdPS0sjLyzthnwe1+bGczHm1+njtOJk2Vx+vHTU9Z1cfrz01bXP18dqzfft23nzzTaZOnUqnTp2qbG+u/VsJNB9p06YNs2fP5qmnnmpW872L79jtdtLS0mjTpk2125OSkigoKCAnJ6eeI5Pm6NFHH+XLL7+kf//+vg5Fmimr1cp1113HVVddVWXbnj172Lt3L23atKkyf7pIXTJNk+zsbD788ENeeuklEhMTmTRpkq/DEmkUdK5bO46sIZKbm8sNN9zAwIEDGThwIHfccYfnhhXAgQMHiI2N9fpF8RFJSUkA7Nu3D8Cz+Hvr1q2r7HtkPYsj+zZlNTn/rat2Pd6+R467f//+mr6URqMmbX6kzzscDm699VaGDBlCv379+MMf/sCmTZu89lWbV+9kzqvVx2vHybS5+njtO945u/p43Them6uP1w6Xy8UDDzxA27ZtmTp1arX7NNf+rQSajyQkJNQoMy5SW/Ly8gAICwurdvuR8iO/FBCpSyNGjMBqtfo6DJEq3G43jz/+OG63m8svv9zX4UgzM23aNIYOHcpjjz1GWFgY77zzDhEREb4OS6RR0Llu7ThyE+qdd94hNDSUyy67jN69e/P9999z+eWXs23bNqCivU/U1kVFRUBFMs7f35/AwMAq+x65AXNk36asJue/ddWuRz4f1f1498i+TfGzUZM2P9LnP/nkE8rKyrj44osZNmwYK1asYMqUKSxdutSzr9r85FR3Xq0+Xreqa3P18dp3vHN29fG6cbw2Vx+vHe+88w7btm3jiSeewN/fv9p9mmv/tp14F6mpMWPGkJKSctx9rrrqKh555JF6ikjkKKfTCXDML8Ej5eXl5fUWk4hIQ2KaJo888ggrVqygZ8+eVdYTEKlrSUlJ3HjjjRw8eJD58+dz1VVX8fbbb9OjRw9fhybS4Olct3ZYrVaSkpJ46qmnvKbR+eqrr/jrX//KAw88wBdffIHT6axxW5/Mvs1dXbXrkSmpq9v/SJndbj+FyBsvt9tNUlISf/nLX7xGfa9evZrrr7+e+++/n/nz5xMQEKA2PwnHOq9WH687x2pz9fHad7xzdvXxunG8NlcfP3X79u3j5ZdfZsqUKfTr1++Y+zXX/q0EWi0aO3bsCacE6d27dz1FI+LtSMb/WOv5HPkiCgoKqreYREQaCqfTycMPP8ysWbNo3bo1r7766jFP9kTqymWXXeb5/0WLFnHLLbfwt7/9ja+//hrDMHwYmUjDp3Pd2vGPf/yj2vJJkyYxY8YM1qxZw969ewkMDKxxW5/Mvs1dXbXr8T4fzf09uOWWW7jllluqlA8aNIiJEyfy5Zdfsnr1akaMGKE2r6HjnVerj9eN47W5+njtO945u/p43Them6uPnxrTNHnwwQeJiYnh7rvvPu6+zbV/K4FWix544AFfhyByTKGhoVgslmNOj3JkKOyxhuKKiDRVpaWl3HnnnSxevJh27drxv//9j/j4eF+HJc3cmWeeyZAhQ1i+fDkHDhygbdu2vg5JpEHTuW7d6969O2vWrCE5OZnw8PBjTqXz27YODw+nvLwcu91e5ccpR94vvS8V6qpdj0yJVFhYSGxs7HH3laO6d+/Ol19+SXJyMqA2r4kTnVerj9e+U7mWUR8/db89Z1cfr3snc52kPn5iH374IevWrePNN98kJCTkuPs21/6tNdBEmgl/f38SExM9fzR+Kzk5maioKCIjI+s3MBERH8rPz+e6665j8eLFdO/enY8++ojExERfhyXNhNPpZPny5Sxbtqza7Uf6Ym5ubn2GJdIo6Vz31DmdTjZt2sTGjRur3V5WVgZAQEAA7dq1Izs721NWWUpKChaLxXNDq127dgDVvjdHytq3b18bL6HRq6t21XtwbFu2bGHNmjXVbjsytVRAQACgNj+RmpxXq4/Xrpq0ufr4qTuZc3b18dpxMm2uPn5qvv/+ewBuvvlmunbt6vn3/vvvA3DttdfStWtXkpOTm23/VgJNpBkZMGAAmZmZ7Nu3z6s8PT2dX3/9lb59+/omMBERHygvL2fq1Kls3LiRQYMGMX36dGJiYnwdljQzt9xyC/feey8ul6vKtu3bt2MYBq1atfJBZCKNj851T43b7WbKlCncdNNNVb6TTNNkw4YN2Gw2unXrxoABA3C73axdu9Zrv/Lycn7++Wc6derkWfR9wIABANXe3Fq1ahVhYWF07Nixjl5V41JX7Xq8fVevXo3FYmm2y03ceuutXHvttdUux7Fu3ToAevbsCajNj6em59Xq47Wnpm2uPl47anrOrj5ee2ra5urjp+aiiy7itttuq/KvT58+XtvDw8Obbf9WAk2kGbnwwgsBeP7553G73UDFxfBzzz2HaZpcccUVPoxORKR+Pffcc2zYsIF+/frx1ltveU70ROqLzWZj3Lhx5OTk8M4773ht++ijj9i8eTNnnnlmlWksRKR6Otc9Nf7+/owePZr8/HzefPNNr23//e9/2blzJ+effz7h4eFMnDgRq9XKyy+/7LWo++uvv05RUZFXW48dO5aQkBDefvtt8vLyPOUzZ85k//79XHbZZVgsujUB1Fm7Dho0iMTERD799FOvX3evWLGCZcuWMW7cOKKjo+v+BTZAZ599Nm63m+effx7TND3l3377LYsWLWLgwIF06dIFUJsfT03Pq9XHa09N21x9/NSdzDm7+njtOJk2Vx8/NRdffDG33357lX+VE2i33357nZ7/NfS2NszKPUt85pprrmH16tWsWbPGM++nSF246667mDt3Lr1792bw4MFs2LCBtWvXMmHCBKZNm4ZhGL4OUZqZWbNmcf/993P//fdz/fXX+zocaSYyMzMZPXo0DoeDSy65hISEhGr3u/nmmz3TPYjUhfT0dC6//HLS0tIYPnw4Xbp0Ydu2baxYsYJWrVrx0UcfaU0+kZOgc91Tk5yczOTJk8nMzGTo0KGcdtppbN68mdWrV9OxY0c+/PBDoqKiAPi///s/3nrrLTp27Mjo0aPZvXs3ixYton///rz33nte6118/PHH/POf/yQhIYFzzjmH9PR0vv32W9q0acOnn37a7KbWPN75b12166JFi/jzn/9MWFgYEydOpKSkhK+//prQ0FBmzJhB69at6+nV+8ax2rygoIDJkyezZ88e+vTpw4ABA9i3bx+LFi0iNjaWjz/+2Ktt1OZVnex5tfr4qTuZNi8vL1cfrwUnc86uPl47atrm+h6vG//61794//33ef/99xk8eLCnvDn2byXQGggl0KS+OBwO3nzzTb744gvS09NJTExk0qRJ3HTTTVUWdRSpD0qgiS/MmzePW2+99YT76e+y1IfMzExefPFFFi5cSG5uLi1atGDcuHH86U9/8tyoFpGa0bnuqUtPT2fatGksWbKEvLw8WrRowYQJEzw3NY4wTZOPPvqIjz76iAMHDhAXF8e4ceO47bbbql3ofe7cubz99tvs3r2biIgIhg8fzl133UWLFi3q8+U1CMc7/63Ldl2+fDkvv/wyW7duJTg4mNNPP527777bs/ZIU3a8Ni8oKODll1/mxx9/JDMzk8jISM4880zuuOOOattRbe7tZM+r1cdP3cm2ufp47ajpObv6eO2paZurj9e+YyXQmmP/VgJNREREREREREREREREpBJNNC4iIiIiIiIiIiIiIiJSiRJoIiIiIiIiIiIiIiIiIpUogSYiIiIiIiIiIiIiIiJSiRJoIiIiIiIiIiIiIiIiIpUogSYiIiIiIiIiIiIiIiJSiRJoIiIiIiIiIiIiIiIiIpUogSYiIiIiIiIiIiIiIiJSiRJoIiIiIiIiIiIiIiIiIpUogSYiIiIiIiIiIiIiIiJSiRJoIiIiIiIiIiIiIiIiIpUogSYiIiIiIiIiIiIiIiJSiRJoIiIiIiIiIiIiNZScnEzXrl2P+e+0006jT58+nHXWWfzlL3/hl19+8Wm8q1atomvXrgwePLhWj+t0OrnkkkuYMmXKKR3nWPGNGTOGrl27snDhwlM6/rFcc801dO3alQ8++KBOjl/Zkb6xc+fOOn+uypKTk+nVqxevv/56vT6viEhTYfN1ACIiIiIiIiIiIo1Rz5498ff39yozTZPc3FwOHDhAcnIy33//Pc8++yznnnuuj6KsG2+99RabN29mxowZvg5FjqFVq1ZcffXVvPzyy4wZM4YuXbr4OiQRkUZFCTQREREREREREZHfYdq0abRq1arabQcPHuSuu+7il19+4cEHH2TYsGFERETUc4R149ChQ7z++uuMGzeOPn36+DqcBm/u3LkAtG7dut6fe+rUqcyYMYPHH3+c6dOn1/vzi4g0ZprCUUREREREREREpJa1bt2a559/HpvNRklJCd98842vQ6o1L730EmVlZdx8882+DqVR6NixIx07dqwyWrE+REZGMnnyZFavXs3ixYvr/flFRBozJdBERERERERERETqQOvWrWnfvj0Ae/fu9XE0tePQoUN89dVXnHbaafTu3dvX4UgNXHrppQC89tprPo5ERKRx0RSOIiIiIiIiIiIidcQwDKBibbTfOnjwIO+//z4rV64kJSUFu91OZGQkffr04ZprruGMM87w2v/vf/87X3zxBdOmTaNdu3a88sorrFmzhuLiYtq0acPEiRO58cYbazzS6YknnmD69OmEhYXx3//+t0YJsRkzZuB0Ojn//POr3e5yuZgzZw7ffPMNW7duJS8vD39/f1q3bs1ZZ53FDTfcQFhYWI3iO1mmafL1118zc+ZMdu3aRWFhIUlJSYwdO5ZbbrnlmM+7du1a3njjDX7++WecTift27fnsssuY/LkyZ73r7KFCxcya9YsNm3aRE5ODjabjZYtWzJy5Ej++Mc/EhcX57V/165dAfj6668965D93vcyOzubN998k5UrV3LgwAEMw6B169aMHj2a66+/nsjIyCrxtm/fnh49erBhwwZ27NjhiUdERI5PCTQREREREREREZE6sHfvXnbt2gVAr169vLb99NNP3HrrrZSVlREWFkabNm0oLy/n4MGDzJs3j/nz5/N///d/1SaqVq5cyb333gtUJEeCgoLYvXs3zz//PBs3bqzRSKMXXniB6dOnExISwttvv13j0WQ//PADACNGjKiyzeFw8Kc//YmlS5cC0KZNG+Lj40lLS2P79u1s376defPmMXPmzFqfztBut/OXv/yF+fPnAxWj/1q0aMGePXt4++23WbJkCR9//DGhoaFe9ebMmcO//vUvAgICaN++Penp6WzZsoUtW7awZ88eHnroIa/9H3zwQWbOnAlAYmIiXbp0ISsri71797J3716+/fZbZs+eTVRUVI3iPpn3Mjs7m0svvZRDhw4REhJC27ZtcTqd7N69m+3btzN37lw+++yzatfaGzZsGFu2bOG7775TAk1EpIY0haOIiIiIiIiIiEgt27ZtG3fccQemadKqVSvOOecczza73c79999PWVkZ119/PcuXL+fLL7/k22+/ZdGiRQwdOhTTNHn11VerPfbHH3/MsGHDWLRoEV9//TULFy7kwQcfBGDBggVs2rTpuLH997//5bXXXiM4OJi33nqLvn371ug1ZWZmsmfPHoKDg6tNwnzyyScsXbqU2NhYZs+ezY8//sjnn3/OsmXLeOGFF7BarezYsYN58+bV6PlOxhtvvMH8+fOJiYnhww8/ZN68ecyePZvvv/+eLl26sHPnTp5++ukq9TZs2MB5553HkiVL+OKLL/jpp5+48cYbAfjggw/IyMjw7LtgwQJmzpxJcHAw7733HgsXLuTzzz9n8eLFTJ8+neDgYNLT0z0Jtpo4mffy7bff5tChQ5x99tn89NNPfPnll8yZM4fvvvuOtm3b8uuvv/LBBx9U+zz9+/cHYNWqVTWOTUSkuVMCTURERERERERE5He48847ufLKK73+XXLJJYwYMYILL7yQXbt20aZNG958800CAgI89TZv3kxJSQnx8fHcd999XqOxYmNjufXWWwHYt28fbre7yvNGRkYybdo0YmNjPWXXXnstbdq0AeDnn38+Zsyffvop//73vz3JswEDBtT49a5ZswaADh06VDu14cqVK7Fardx+++2cdtppXtvOOeccBg0aBMCePXtq/Jw1Ybfb+d///gfAU089xemnn+7ZlpSUxJNPPgnAt99+i91u96rbrl07nn76acLDwwGwWCzcddddhIeHY5omGzdu9Oy7fPly/Pz8uPrqq6tMrzlo0CDOPffck359J/Ne7ty5E4CJEycSHBzsKW/dujX33nsvY8aMOebIt06dOgGwadMmysvLaxyfiEhzpikcRUREREREREREfofNmzdXW+7n58eECRMYNWoUEydOrDJdYf/+/Vm3bh1lZWVYrdYq9YOCggBwu92Ul5d7Hh8xaNAgAgMDq9Rr3749Bw4coKioqNq45syZwz//+U+sViuvv/66V6KpJpKTk4GKhE11XnnlFRwOR7XJNZfLRUhICAClpaUn9bwncmTtsLi4OEaOHFlle69evfjiiy9o06ZNlfdi9OjR2Gzet0iPrNm2ZcsW8vLyPOUPPfQQ999/Py6Xq9o4jrxPJ/P6Tua9PJJU+7//+z/8/PwYMmSI5/WMHz+e8ePHH/N5WrVqhdVqxeFwkJGRccz3UEREjlICTURERERERERE5HeYP38+rVq1AipGQS1btownn3ySAwcOUFxczJgxY4671ldgYCBbtmxh69atHDhwgAMHDrBz50727dvn2ae6EWjx8fHHPN6x6hQVFfG3v/3Nsy0/P7/mL/Sw3NxcAMLCwo65j5+fH/n5+axdu5a9e/eSnJzM3r172bp1qycZZJrmST/38Rw4cACAzp07V5u8A+jevXu15S1atKi2/Eiy77ejtaxWK+Xl5axcuZI9e/aQnJzM/v372bJli6d9Tub1ncx7eeONNzJ37lz27dvHzTffTFBQEKeffjojRozgrLPO8vTF6hiGQUhICAUFBeTk5CiBJiJSA0qgiYiIiIiIiIiInCJ/f39Gjx5N9+7dueSSS/jpp5+YOnUq77//frUjjNasWcNTTz3Fli1bPGWGYdC2bVsmTpzIV199dczn8vPzO24s1SVwnE6nJ8aFCxfy2GOPMWTIkOMmw36roKAAoNrXAxXJpueee45PP/3UaxRWSEgI/fr1Iysri+3bt9f4+WrqyCixytMa1tTxEpy/5Xa7eeONN3j33Xe9RqYFBATQu3dv3G4369atO6nnP5n3snXr1syePZtXX32VH374gdzcXJYuXcrSpUt58sknGTVqFI8//vgxk3JBQUEUFBR43kcRETk+rYEmIiIiIiIiIiJSS+Lj4/nPf/6DYRhs3LiRp556qso+O3fu5MYbb2TLli2cfvrpPP7448yYMYO1a9fy/fff8+c//7nW47Jarbz00ktMmzaNtm3bkpmZyX/+85+TOsaRddyONUXkAw88wLvvvothGEydOpXXX3+dH3/8kbVr1/LOO+941uGqbb9n6sTfY9q0abzwwgsUFRVx9dVX8+KLL/Ltt9+yfv16Pvjgg5OeEvP3aNmyJY899hjLly9nxowZ3HXXXQwYMADDMFi8eDG33HLLMUfAFRYWAnitxyciIsemEWgiIiIiIiIiIiK1aOjQoVx++eV8+umnfPLJJ5x99tkMGTLEs3369OnY7XaGDBnCO++8U2UdtLS0tFqPKSwsjDPPPBOAf/zjH9x444189tlnTJw4kUGDBtXoGNHR0cDRqRwrS09P55tvvgHgjTfeqPaYdfG6ANq1awfA7t27j7nPn/70JwzD4O677/5diTyHw8H7778PwBNPPMFFF11UZZ+6en1HpKamsm/fPoYMGYLFYqFPnz706dOHW265hRUrVnD99dezdetWdu/eTefOnb3q2u12SkpKAIiJianTOEVEmgqNQBMREREREREREallf/3rX4mLiwPg0UcfxW63e7alpKQA0LVr1yrJM4CZM2d6/t/lctV6bMOGDeO8887DNE0efvjhKut8HUuHDh0AyMjIqLItJSXFM/KpuvXG9uzZw88//wxUTCdZmwYMGEBQUBDp6emsWLGiyva9e/eyYMECFi9e7EkCnqycnBxPAqpbt25VtmdnZ7No0SKg9l8fVCTAzj//fG644QY2btxYZfvpp5/umQ6yuj6Tnp4OgM1m0/pnIiI1pASaiIiIiIiIiIhILQsLC+Ovf/0rAPv27eOtt97ybDsyYmru3Ln8+uuvnvL8/HyefPJJ5syZ4ymraXLrZN1///2EhYWxf/9+XnnllRrV6d27NwA7duyoMl1i27ZtsVgqbjW+8cYbXkmcVatWcdNNN3kSS7X9msLCwrjqqqsA+Pvf/87mzZs925KTk7nnnnsAmDRp0u9OoMXExBAeHg7Af//7X6+E6LZt2/jDH/5Afn4+UDfvmb+/P+PHjwfgoYceYt++fZ5tdrud5557DofDQVJSUrUj7I4kL3v06HFS676JiDRnmsJRRERERERERESkDlxwwQXMnDmT1atX88YbbzBx4kTatGnDDTfcwNdff01GRgbnnnuuZ2TX/v37sdvtnHbaaaSlpZGXl0dGRoZnJFttiouL46677uKxxx7jnXfe4dxzz+W00047bp1WrVrRrl079u/fzy+//OI1TWNMTAxXXXUV06dP58033+Tzzz8nISGBjIwMMjIysNlsDBw4kDVr1lQ7gu1U3XnnnezatYvFixdzySWX0KFDB2w2G/v27cPhcNCjRw/uv//+3318m83GrbfeylNPPcXs2bNZtGgRrVq1Ij8/n+TkZAAGDx7MqlWr6uT1Afztb39j3bp17Nq1i/POO4/WrVsTEhLCwYMHKSgoICAggCeffBKbreot3w0bNgAwfPjwOolNRKQp0gg0ERERERERERGROvLII4/g5+dHeXk5jz76KACtW7fmyy+/5KKLLiIhIYF9+/aRmprKaaedxv33389nn33GsGHDAFi4cGGdxXbllVfSu3dvnE4nDz30UI2mi5w4cSIAy5Ytq7LtwQcf5N///rfnmDt27MDPz4+JEycyY8YMHnvsMQDWrFlDUVFRrb4Wf39/XnvtNZ544gn69etHeno6+/bto23bttx55518/PHHnhFkv9f111/P66+/zsCBA7FarezcuRO73c7YsWN57733eO211/Dz82PXrl0cPHiwll7ZUZGRkXzyySfceOONtG/fnrS0NHbt2kV4eDiXX345X3/9NWeccUa1dY+8X+edd16txyUi0lQZ5pHJiUVERERERERERESOIysrizFjxhAdHc2CBQs80zZKw7V+/XquvPJKRo4c6TWVqIiIHJ/+womIiIiIiIiIiEiNxMbGcskll5Camsry5ct9HY7UwKxZswCYOnWqjyMREWlclEATERERERERERGRGrvpppsIDAzk3Xff9XUocgJZWVl88803DBo0iNNPP93X4YiINCpKoImIiIiIiIiIiEiNJSYmcvvtt7N06VJWr17t63DkOF599VVcLpdn/T0REak5rYEmIiIiIiIiIiIiJ8XlcjF58mSsViuffPKJr8ORahw8eJBzzjmHO+64g5tvvtnX4YiINDpKoImIiIiIiIiIiIiIiIhUoikcRURERERERERERERERCpRAk1ERERERERERERERESkEiXQRERERERERERERERERCpRAk1ERERERERERERERESkEiXQRERERERERERERERERCpRAk1ERERERERERERERESkEiXQRERERERERERERERERCpRAk1ERERERERERERERESkEiXQRERERERERERERERERCpRAk1ERERERERERERERESkEiXQRERERERERERERERERCpRAk1ERERERERERERERESkEiXQRERERERERERERERERCpRAk1ERERERERERERERESkEiXQRERERERERERERERERCpRAk1ERERERERERERERESkEiXQRETklL300kt07dqVN99809ehiIiIiIiIiI/o2lBERJoSJdBEREREREREREREREREKjFM0zR9HYSIiDRuOTk55ObmEhMTQ2RkpK/DERERERERER/QtaGIiDQlSqCJiIiIiIiIiIiIiIiIVKIpHEVE5LgWLFjADTfcwPDhw+nVqxdjx47l0UcfJS0tzbPPsea5dzqdvPfee0ycOJE+ffowYsQInnzySYqKiujevTvXXHONZ99Zs2bRtWtXPvvsM5YuXcrkyZPp27cvQ4YM4YEHHqCoqAiXy8Wbb77J+PHj6dOnD+effz6ffvpplZhN02TOnDn84Q9/YMiQIfTo0YOBAwdyzTXXMHfu3LprLBERERERkSZK14YiItLc2HwdgIiINFzfffcdf/nLX/D39+f0008nNDSUrVu38tFHHzFv3jy++uoroqKiqq3rdru58847mTdvHuHh4QwfPpyCggKmT5/OunXrONYA6O+++45ly5bRtWtXhgwZwrp16/j888/Jzc0lMDCQefPm0b9/f5KSkli5ciWPPPIIbrebK6+80nOMRx55hBkzZhAaGkq/fv0IDAxkz549rF69mtWrV1NYWMgVV1xRJ20mIiIiIiLS1OjaUEREmiMl0ERE5JieeeYZrFYrs2fPpn379gC4XC7uuecevv32Wz777DNuvvnmaut+/vnnzJs3jx49evD2228THR0NwKpVq5g6dSput7vaej/99BP33HOP57h79uxh4sSJLFiwgOjoaGbNmkXnzp0BmDFjBg8//DCfffaZ5yJp48aNzJgxgw4dOvDpp58SHh7uOfbbb7/NM888wwcffKCLJBERERERkRrStaGIiDRHmsJRRESOKSsrC6vVSmxsrKfMarVy9913889//pMRI0Ycs+706dMBePrppz0XSACDBw8+5oUVQGJiIn/84x89jzt27EjXrl0BuOaaazwXSAATJkwA4MCBA56ywsJCxo8fz1133eV1gQR4LowOHTp07BctIiIiIiIiXnRtKCIizZFGoImIyDENGjSIJUuWcMkll3DRRRcxatQounXrRps2bWjTps0x62VnZ7Njxw7atm1Lly5dqmw/++yzmTZtWrV1e/bsicXi/fuOIxdZPXr08Co/chFUXl7uKRs+fDjDhw/32s9ut7N3717Wr18PgMPhOGbsIiIiIiIi4k3XhiIi0hwpgSYiIsf02GOPceutt7JlyxZeeOEFXnjhBWJiYhg9ejRXXHEFvXv3rrZeamoqAAkJCdVub9Wq1TGf87e/DKwsMDDQ67FhGNXuV1JSwqxZs1i4cCH79u0jNTUVt9vt2f9Yc+yLiIiIiIhIVbo2FBGR5kgJNBEROaaEhAQ+//xz1qxZw7x581i2bBm7d+9m5syZfP755zz88MNcddVVVeo5nU6AY85lf7yLFKvVekoxp6WlMWXKFFJSUoiMjKRXr16MHz+ebt26MXjwYEaNGnVKxxcREREREWludG0oIiLNkRJoIiJyXIZhMGjQIAYNGgRUXIS8//77vPPOOzz//POeBZora9mypWff6hz5FWJdeOGFF0hJSeGKK67gkUcewWY7+qcuPz+/zp5XRERERESkKdO1oYiINDeWE+8iIiLN0cGDB5k0aVKVRZ1btmzJfffdR3h4OIWFhZSUlFSp27JlS9q1a8eBAwfYvXt3le3z58+vs7g3bdoEwE033eR1gQSwbNkyQNN0iIiIiIiI1JSuDUVEpLlSAk1ERKqVlJREbm4uS5cuZd68eV7blixZQkFBAe3atSM0NLTa+tdeey0ADzzwAHl5eZ7yTZs28dprr9VZ3Efm1l+wYIFX+fr16/nXv/4FVCwUfawpREREREREROQoXRuKiEhzpSkcRUSkWhaLhccee4w///nP3HrrrfTs2ZOkpCQyMjL4+eefsdlsPPjgg8esP3nyZBYtWsSSJUsYP348AwcOpLi4mDVr1pCYmEhhYSF+fn61Hve1117LTz/9xJNPPsk333xDy5YtSU5OZsuWLURGRhIbG0tWVhaZmZnEx8fX+vOLiIiIiIg0Jbo2FBGR5koj0ERE5JhGjx7NO++8w4gRI0hOTmb+/PkcPHiQCRMm8NlnnzFy5Mhj1rVarbzyyivcddddREdHs2TJEvbs2cN1113Hf/7zH4Bj/kLxVIwaNYo333yT/v37s3//fpYtW4bD4WDKlCnMnj2b8ePHA7Bw4cJaf24REREREZGmSNeGIiLSHBmmJvsVEZE6sH37dqKioqr9Jd+PP/7Ibbfdxk033cS9997rg+hERERERESkPujaUEREGiuNQBMRkTrxyCOPMHLkSJYsWeJVnpOTw4svvgjA2LFjfRGaiIiIiIiI1BNdG4qISGOlEWgiIlInvv32W+666y4AevfuTUJCAoWFhaxfv57S0lL9wlBERERERKQZ0LWhiIg0VkqgiYhInVm/fj3vv/8+mzZtIjMzk9DQULp3786VV16pXxiKiIiIiIg0E7o2FBGRxkgJNBEREREREREREREREZFKtAaaiIiIiIiIiIiIiIiISCVKoImIiIiIiIiIiIiIiIhUogSaiIiIiIiIiIiIiIiISCVKoImIiIiIiIiIiIiIiIhUogSaiIiIiIiIiIiIiIiISCVKoImIiIiIiIiIiIiIiIhUogSaiIiIiIiIiIiIiIiISCW2U6nsdps4na7aikWkVvj7V3Rru93p40hEqqc+Kg2d+qg0BuqnciI2mxWLxfB1GM1KQ7o+1HdE/VJ71y+1d/1Tm9cvtXf9UnvXP7V5/VJ716+G2N6ncm14Sgk0p9NFfn7pqRxCpNbFxYUBqG9Kg6U+Kg2d+qg0BuqnciIREUGeizepHw3p+lDfEfVL7V2/1N71T21ev9Te9UvtXf/U5vVL7V2/GmJ7n8q1oaZwFBEREREREREREREREalECTQRERERERERERERERGRSpRAExEREREREREREREREalECTQRERERERERERERERGRSrSqtkgTk1PoZG9aOfvSy8nMd5BZ4CS/2IXLZeJ0m9isBsEBFkICrcSG22gRYaN1rD+dEgOJCtVXgoiIiIiIiIiIiIiI7paLNAE5hU6+XZfPhj3FZOQ7T7h/bpELcLAzxbv86tExjO8XUTdBioiIiIiIiIicQGZmoa9DEBERAZRAE2lUnC6TXzPKOZBpZ1SvMCyG4dn2/fr8auv4WQ0iQ6342wysFgOH06TE7qao1IXL7b1vmzh/r8eFpS6yCpy0jw+o9dciIiIiIiIiIiIiItJQKYEm0og8+0UaWw6UAtCvYzCRIRUf4egwG3HhNjILKkaf9esQzPj+ESTF+BEebAVg8S+F9G4fTExYRR232ySnyEV6noO9aeXsTi2rkihb9Eshn/2UQ8eWAdwwLpY2cUqkiYiIiIiIiMixZf31dl+HAEDsMy/5OgQREWnklEATaaByCp1Ehx39iLpNk6Iyl+dxep7Dk0ADOOO0UL5enQfAhP4RdG8T5Nl2MNPO/+ZlATC+XzhXj47FYjGIDbcRG26jR6V9Pc/nNlmwsQCA/RnlnkSciIiIiIiIiIiIiEhTpwSaSAOz+1AZM37KYV96Oc/9sQ1hQRWJK4thEB5krbRfOV2Tjia+zh8UydBuoRSVuWnXwnsqxh0ppZ7/T4rx3gZQ7nAT4GfxKjOBK0ZGM+/nAqJDrV7JOoBfM8ppFeuP1WIgIiIiIiIi9UPrQ4mIiDQcDWHUrUbc1h0l0EQamIW/FLA9uQyAeT8XcNGQKM+2P4yP44lPD3Faq0AWbsr3jDgL9DeIj/CjfcsAerULxs/qndTq2yEElxvW7S6mf8dgr23JWXYe+ziFkT3DmNA/grgIPwCsFoMzuoZyRtdQHE7Tq05hqYt/zThEdKiNq86MoVc772OKiIiIiPiSEgwiUh9001ROlvqMiEjjYpimaZ54t+rZ7U7y80tPvKNIPYqLCwMa70VzYamLv/3vABaLQa+2wbSK9WdUzzBCD48+c7lNVu0o5vVvM455jOgwKyO6hzGyZ5gnIXYsHy3O5rt1+QBcd1YsZ/UJP2GMHy/O5tvDdaBiPbYpI2OIjzr+c0mFxt5HpelTH5XGQP1UTiQiIgh/f/1esD4tX76cyy677IT7XXzxZTzyyONeZY899jCzZn1Wo+eZOvVW/vQn7xuQd9xxC0uWLKpR/YceepRLL73Cq+zKKy9m27atNao/bdqrjBo1xqts3LgRZGZm1qj+Rx/NpHv3nl5lffueVqO6AD/8sJgWLeI9jzMy0hk/flSN6//883avx1u3bmbKlEtrVDcuLo4ff1zqVbZ48QLuvPPPNarfrVt3Pv54llfZu1dexAvbttWo/hmxsTzRr59X2Xt79jB9794a1T83KYm7u3f3Kntu61bmpqTUqL6v+97jffsyJC7Oq+yKxYvJtttrVP/VwYPpEu59vTf2xx9rVBeaXt+bOfNTnnjiHzWqP3bsWN577z2v847XXnuJN954pUb1T7XvXdOhA9d17OhV9tCGDazMyqpRfV9/751q3/tkxAhiAwM9j7PKypi8dOlxanhrSH0v66+3Myc52affe6+GRepvbg015++9kSPP5MUXX/cqO5nvvYZ0vnfk2nHs2HH63quBU+17vXr14rvvvvP6m+nrvpeXl07nzp1qVP+3dEUp4kNut0lusYuYSmud5Re7CAm0kp7nZNm2IgBCAi2c2aviS9dqMYgKtRIdaq1Yl8yAolI32YVOjqTDcwpdzF6Vx8odxfz7hlZYjGNPsxgWZCE4wIJhwPDuod7xmWa1dYd1D+Vglp3Nv1Yk0DfsKWHTvhLOGxjJBYOj8LNpWkcRERERaZiKPv+ErFU/eZU5kw/WuH7B/94ka84XXmXu/Pxj7C0iTYHd7tSPdkSk2Sv58dsa71u2anmVEZdlW2uWvDryXFl7d3qV2bdurnF9kdqiBJqIj5SWu3l5TjppeQ4euyqJkEAri34p4N15Wbh/My505fYiTwINoFvrIF64ua3XPmV2N9uTy1ixvYi1u4pxuEwuGRp13OQZwMRBUYzrG8HBLHuVddBmLc/lYJadi4dE0bZFgKe8TVwAf724JT/vLeGjxdmk5zlxueGrVXms213MTRNa0KFlwG+fSkRERESk2cub9gxZ4See9eFYch5/CEulXyTnlJXVRlgiIk3Wb2/i5xUU1LiuOz+/Sv2CGo5AgYofaGT99XZNmygi0khpCkdpchrLlE5vfJfBsq0VI8wGdg6i3AGb9nt/ngL8YEL/SMb2CScytOb57uIyF+v3lDC8eyhGpQRadqETl8ukReSJp1osLHVxz9sHKHOYBPoZTJvaliB/S5X9HE6THzbk88WKXOyH10ozDDjv9EguGqLRaNVpLH1Umi/1UWkM1E/lRDSFY/1riNeHDWmtmYYUS0OidqleQ2gXaJj9V7F4UyzH1pDiaYixSOPQkPpMQ4rlZNT1tWNjbZfm5FSuDXVFKeIjVwyPZvvBMsodLjb/Wkap/Wgu22LAxEGRnD0ggpBA60kfOyTQyogeYV5lbrfJ63Mz+DWznOvPimVot6Pbi8tcpGQ7yClyklfkJLfIRVru0Xn0I0KsvP5tBgE2gyB/CxEhVqJCbUSH2oiNsHHOgAhO7xTC2z9ksiOlDNOEOWvy2LS/hD+f14LEaP/f0UIiIiIiIiIiIiIiIr6hBJqIj0SG2pg8MorX5mZ6TdnYsWUAt02M91oXrTYs2FTAjpSK6V1e/zaT+T8XEBJoITnbQVaB87h10/OcpOcdex9/m0GbOH/axvkTF2Fj9c5i7E6TA5l2HvkghWvGxDCyR5jXaDgREREREfEN/VK6emoXEWlOGtJ3nmKpSn8P5PdoCP23qfVdJdBE6klukZPwYCtWS0USaePeEt7+4eh6ZxYDrh0Ty5g+v389hGNJzbVTUu4mKtRKbpELgF2p5bV2fLvTZHdqObsrHdPfZmB3mtidJu/8kMXmX0u5YWwcwQFVp4EUEREREREREREREWlIlEATqQd5RU4e/+QQnRICmHpOC5ZsLuS9+UeTZy2j/Lj3opY1WpusppKz7KzYXsTa3cWk5jiOuZ/VAl2TAmkXH0CLSD+iQqxEhtoID7bibzOwWQysVjBNKHeYFBQ7efzTQ5TaTQwD+nUIJqvASUq2HZf76HGPrId2xKodxexKKeOOSfF0aBmIiIiIiIiIiIiIiEhDpQSaSB1zmybTvkonq8BJVoGTLQd+pbD0aKZpVM8wrjsrFpv11Kc3zC92smJHMcu2FvJrhr3afVrH+tMyysaWA2WUlLtxuSG/xMXZAyKIDDn+V0KAH4QHW3noiiQ+WJRFp4RALhseDYDd6eZgpp0tB0r5ZX8pu1PLvBJqADlFLp749BB3TIynT/tgTekoIiIiIiIiIiIiIg2SEmgidcxiGJw/KJKXvk7HbeKVPLt0WBQTB0WeUiLJbZps/rWUeT8XsGlfidd6agA2K/RoE0T/jiH06xBMZGjFxz6rwMG/Z6aSnuckJdvBkzNS+fulCUTXYO211nH+/P3SBK8Emb/NQvuWAfy8t4TbJ8bjZzPYtK+EVTuK+HlvCc7D+zpd8NyX6SRG+zGhfwTDu4fhZ1MiTURERERERERERGpXZmahr0OQRkwJNJE6tj25lOkLsrwSWwZw09lxDO8e9ruPW2Z389PWQn78uaDKFI0G0K1NEMO7hzKgUwhB/lXXHYsN9+OByxN5emYqqTkO0nId/LyvhDG9a7YGm2EY2KzeZQs2FjB7VR4LfynklnPiGNw1lMFdQykqdbF4cwHfr88nr7gik3Yox8H/5mUxe2Uu5w2M5Mxe4UqkiYiIiIiIiIiIiEiDoASaSB1xuky+WJHLnDV5mJWSZxYDbj0/noGdQ37XcfOKnXy7Np/FmwspKfeeIzEh2o/h3cMY2i2UmBqMJIsKtfHg5Yn8e2YqAzuH1Dh5Vh2322TezwUAFJa6CPA7mrQLDbJy3sAozjk9kl/2Hx0tZ1IxreP0hdl8tz6fy4ZHM6hLCBZN7SgiIiIiIiIiIiLVyPrr7b4OgdhnXvJ1CFIPlEATqQMrthXy2bJcsgqcnrI2cf6k5Tq4Y2I8vdsHn/Qx84qdfLMmnwUbC3C4jmbkDKBvh2DG94+ge+vAk54OMjzYyiNXJuJ/iqO/LBaDhycnMn1BNi0ibXRODKy6j2HQp30wfdoHk5Jt55U56SRnV4yey8x38uo3GXy7NoArR0VzWqugU4pHREREREREREREROT3UgJNpJbNWZPLjKW5nsf+NoPJI6M5q084+SUuIkNO7mOXV+Tkm7V5LNhY6JU4C/Q3GNUzjLF9I4iP9DulmCuPFjtiza5iOrQMqNFItiNCAq3ccm4L3Kb3QmymabJqZzGDOodgsVQk6lpG+RERYiM524Fh4Bmlty+9nCdnpDKseyhXjowhPNj626cREREREREREREREalTSqCJ1LL96eWe/w8OsPDQ5ARaxQQAnFTyrMzuZu7aPOauzcfuPJqQCg6wMKF/BOP7hRMSWDfJpZ+2FvLW95nEhdt44PJEok8iiQZUmYJx4S+FvDsvi/lJgfz5vBZEhdqwWgzuuagl0xdm0TUpkLgIPz5Zks2uQxXtt2xrERv2lHD58GjO7BXmSbyJiIiIiIiIiIiIiNQ1JdBEatkt57Zgy4EDFJe5GdM7zJM8qymX22TJ5kJmrcglv9jlKQ8OsHB2/wjG1WHi7Mjzf78+H9OEjHwn/56Zyv2XJ5z0yLkjSu1uPluaA8DOlDIOZtmJCq04ls1qcMPYOM++D12RyModxXy4KIuCEjcl5W7enZ/Fki2FXD82lnYtTq4tRURERERERERERER+j6rztolIjaXm2PnspxzMSlMW7k4pp7jMDcAPGwrIzHfU+Hib9pfw0PRk/jcvy5M887cZTBocybN/aM2FQ6LqNHkGYLUY/PXiBJJiKqaFTM118O+ZqRSUuE5Qs3pB/hbuvzyBllF+XHBGJL3bHXv9N8MwOKNrCL3aBRNRaerGvWnlPPpRCrOW5+B0mcesLyIiIiIiIiIiIiJSGzQCTeR3cDhN5qzJ4+vVuThd0CrWnyGnhQJwWusg/jA+lukLsrnrwpbERZx4fbLMfAcfLcpm3Z4ST5kBDO8RyiVDo096CsVTFR5s5e+XJvDkZ6mk5jhIya5Iov39sgTCgk4+gdcmLoBHr0oiwFZ1GsZyh9trDbY5a/JZtrUIgNhwG8H+Fg5k2XG54cuVeazfU8JNE+Joq9FoIiIiIiIiIiIiIlJHNAJN5CSYpsmanUXc/95BvlhRkTwD+GRxNuv3FHv2G9UznP/7Q2t6tAk67vHsTjdfrsjl7+8meyXPerQJ4vFrkrhpQot6T54dERFi4/5LE4iPrEgAHsyy85/PUyku+/0j0X67jtmyrYXc/14ye9OOrht3eudgYsMrXnNWgZOCUhfnDgjHz1pR90CmnX9+lHK4/TUaTURERERERERERERqnxJoIjW0N62Mf81I5aU5GWTkOwHwsxoM7hJCbrGLF2an88WKXM/+J1ozbE9qGY98kMKsFbk4DieC4iJs3HVBPPdd0pI2cb4fYRUZauP+yxJoEVHxWn7NsPPM52mUlLtP+djJWXb+Ny+LrAInT3yaQnpexVSXCVH+PHJlIm3i/AHIK3axaHMRN46LpVNCRZu43PDFilye+OTQSU2RKSIiIiIiIiIiIiJSE0qgiZxAdqGT17/N4J8fHWJnSpmnfECnYJ68rhXF5UdHZHVK8D/h8exON58uyeaxTw5xKKci+eNnNbh4aBRPXduKfh1DMIyqUx36SnSYjb9fluAZFbY3vZzpC7JO+bjhwVa6JAUCMK5vhGekG1QkHx+8PJHuh0fwlZS7eefHTM4eEMHkkdGe0Wh708t5+IMUVu8sOuV4RERERERERERERESOUAJN5DhcbpPHP0lh+bajCZp2Lfx54LIE7pzUkrwiJzuSj04/eKLE1+5DZTz8QQrfrM3HPDz7YLdWgTx1XSsuPCMKf7+G+ZGMDffj/ssSiA61khTjx+SR0ad8zPBgK/de1JKbJsRx+YiqxwsKsHDvRS05o2sIAE4XvPJNBqGBVh67OonWsRXJypJyNy/PyeDd+VnYnac+Mk5ERERERERERERExDeLK4k0ElaLwXmnRzJ9YTZRIVYuGxHN0G6hWAyD5Cw7z89O90y/OLZP+DHXPHO7TWavyuPLlbmexFmAn8HkkTGM7h2GpQGNODuWuAg/7r88kSB/C+HB1lo5psViMKJHWJXyzb+WEBZkpW2LAG45twURIdl8v74A04S3f8jkqjNj+MeViXy0OJsFmwoBWLCxgF0pZdx2fgsSok88ElBERERERERERERE5FiUQBOpZE9qGWFBVlpUmk5wdO9wXCaM7hVGwOERYlkFDp75PNWzFtigLiFcPTqm2hFouUVOXp+bwbbko9M/dmsdyB/HxxEX4Vdl/4as8jSLR+QWObFajFpLqh3KsfPS1+m43HDz2XEM6hLKlFExhARambW8Yo25DxdlU1Lu5rqzYuneJoh3fsik1G5yMMvOIx+mcMPYWIZ2q5qYExERERERERERERGpCSXQRIDCUhefLMlm6ZYi+nUM5q4LWnq22awGZ/eP8DwuLnPxyAcpFJVVJM+6tw5k6tktsFiqJs827Svhje8yKCx1Hz4WTB4Zw9i+4Y1i1NmJFJS4+PfMVEzg3ota1kpC8Pt1+ZTaK4bp/bK/lEFdQjEMgwvPiCLY38IHi7IB+GJFLiXlLq4cFUO7FgG8+k0Ge9PLKXeYvP5tJnvTypk8MgabtfG3s4iIiMjJys3N5ZVXXmHRokVkZGTQqlUrLr74Yq6//npsNl0GioiIiIiInEjDXHBJpJ6YpsnybYX8/d2DLN1Ssc7Zhj0l7Egpq3Z/p8vk6c9SPcmz8CALd05qiZ/NqLLfp0uy+b8v0jzJs/hIG49cmcT4fhFNInkG8P6CLA7lOEjNcfDox4fYk1p9u52Ma8+KZXy/cDonBnDtmFivbeP7R3DThDiONN/36wt454dMYsJtPDQ5kbMHHE10/rChgP98nkpBieuUYxIRERFpTIqKipgyZQrTp0+nU6dOXHXVVYSFhfHMM89w2223YR6ZU1xERERERESOST89lGYrq8DBu/Oy2LS/1FMWEWLlihHRdE4MqLK/aZpMX5jFr5l2T9klw6IICvDOQ2cXOnl5Tjp7Uss9ZUNPC+W6sbEE+TetnPU1o2NIy3VwINNOQYmLJ2ekMvWcimkXfy+rxeDq0bHYne4qiUm322REjzAC/S28+k3FNI9LtxRRZje55ZwWTBkVQ4eWAbz9fSZ2p8n25DIe+SCZOybF06Fl4Km+XBEREZFG4c0332Tv3r08+OCDXHvttZ7ye+65hzlz5rB48WLOPPNM3wUoIiIiIiLSCDStu/kiNWCaJgs3FXD/e8leybMze4Xx9HWtGN49rNoRYt9vKGDhpkKgYlrH0zsFc2avcK99th0s5ZEPkj3JM3+bwR/HxzH1nLgmlzwDiAix8dAVifTrEAyAw2Xy8pwMPlmSjdN1ar9s9rd5t1dWgZO/v5fMpv0lDOwcwt0XtsT/cIJtza5i/jcvE4AzuobyjyuTaBFR8fuAnCIX//o0laVbCk8pHhEREZHGIiUlhYSEBKZMmeJVfu655wKwYcMGX4QlIiIiIiLSqGgEmjQrJeVu/vtjJqt3FnvK4iNt3DA2ju5tgo5Zb8PeYj4+vPaWAdx+fgv6dQzxbDdNkx82FPDx4mzch/NGSTF+3HpePK1i/evktTQUgf4W7pwUz8dLsvl+fQEAc9fms+tQGbeeF0902Kl/zZQ73Ez7Ko20XAfPfpHGnZPi6d8xhL9dmsCzX6RhMeC8gZGe/VvH+fPoVUm8NjeDTftLcbhM3vo+k+QsO1eMiK52vToRERGRpuLZZ5+ttnzv3r0AxMbGVrtdREREREREjlICTZqVrAIHG/aUABWJsLMHRHDJ0Cj8/Y49OuxAZjmvfZPBkfFUk0dFeyXP7E43/5uXxbKtRZ6ygZ1DuGlCHIFNcNRZdSwWg6vOjKVNXADvzc/C7jTZdaicB99P5pZzW9CnffApHd8woHWsP79m2GkV40/31hXJzs6Jgdx/WQJuE5JivBOVIYFW7r6wJZ8vz+Xr1XkAfLsun5RsO38+L57ggObx3oiIiEjzZpomOTk5fPfdd7z00kskJiYyadIkX4clIiIiIiLS4BnmKawgbbc7yc8vPfGOIvUoLi4MgMzM6qfsm/dzPrNX5jH1nDh6tj1+YievyMk/P04hp9AFwOheYVw/Nhbj8BSPBSUupn2Vxq5DFVM2GsBlw6M5b2CEZ5/mJjnLzktz0knNcWCzwuNXt6qS3Po9TNNk/sYC+rQPJi7C77j7ltndFJe7iTk8+m3l9iLe+j4Tx+FpJROi/bjrgpa0jDr+cerKifqoiK+pj0pjoH4qJxIREYS/v34v+MILL/Daa68BFSPPpk+fTocOHXwcVd3Td4OIiIiIiO8cuWZv7DQEQ5o00zRxu71zxGf1Cefp61udMHlmd7h5YXa6J3kG4O9neBJjyVl2/vlRiid5Fhxg4Z6LW3L+oMhmmzwDaBXrz6NTkhjTJ5yLhkRVSZ793rXRDMNgbN+IKsmz/GInuw6VeR47nCYvfp3O45+kkJpjB+CM00J58IpEokKtAKTmOHj0oxQ2/1ryu2IRERERaSySkpK48cYbGTduHDk5OVx11VVs2bLF12GJiIiIiIg0eBqBJk3Okex2RkYBHy3OpsxucuO42JNOar02N4MV24u8yq47K5az+oSzaX8Jr8xJp9Re8fFpEWHj7otakhjdtNc7O1mmaXq1e16xk4enpzC8eyhn9Y0gNvzUfhXudJk8PTOVPallXDsmltG9w/l0aTbfrMkHKqZ9fPyaJCyHY8grcvLCV+nsTatIeloMmHJmDOP6htdr0lOjJqShUx+VxkD9VE5EI9CqWrRoEbfccgudOnXi66+/rvXzn4Z0fajvCGnK1L/rn9q8fqm965fau/6pzeuX2rt+NcT2PpVrQ41AkybJ7TZ5d34W368vYPHmQr5dl3/SxxjRI5TgAAshgRYmj4hmQKdgRvcOY97P+Tz7RZonedY1KZB/TElS8qwav70p89WqPPJLXHyzNp973jnAi1+lsX5PMXaH+3cdf8mWQnamlOFyw9y1eZQ73Jw/MJLOiQEEB1iYek6cJ3kGEBlq44HLExjaLRQAtwkfLMzm3XlZv3tknIiIiEhjceaZZzJkyBB27drFgQMHfB2OiIiIiIhIg6afZEqT43KbvPD5QRZuqshyWy0Q9ztGOvVsG8zDkxMpLnPTJSkQ0zSZuSyXr1fnefYZ0SOUG8bGYbM23ykbT0ZooIUAP4Nyh4lpwtrdJazdXUKAn0HvdsF0bxNEl8RAkmL9vBJfx3JmrzDyi118ty6Pv1zQkgA/CwF+cN8lCaTnOWgTF1Cljr/NwtSz42gd68+MpTmYwMJfCknPd3L7+S0ICbTWwSsXERERqR9Op5PVq1djmibDhg2rsj0xMRGA3Nxc2rZtW9/hSQPxzwN3+zoE/tnmOV+HICIiIiJyXEqgSZNimiYvfpHMvPW5APhZDW6fGE/fDsdf7+xYjqzf5XKb/O/HLJZsOTr09PLh0Zw3MKJZr3d2si4eGs3ZAyJZuqWQHzfkk5HvBKDcYbJmVzFrdhUDcMs5LTyjxAAO5dhJz3MQGWIjIthKSKAFf5uBxTC4aEgUZ/UJJzz4aOIrwM9CQpT3iEC7w83OQ2X0bBuMYRicNzCSxBg/XvsmgzKHydYDpTz2ySHuubAlLSK911kTERERaUxuueUWQkJC+Omnn7BavX8ctH37dgzDoFWrVj6KTkREREREpHFQAk2aDNM0+WhxDj+sr5iu0d9m8JcL4unZtmbJs5JyNws3FXDOgAh+2lpEfJQfXZMCKXe4eeWbDH7eWwJUjGi7aUIcQ7uF1dlracqCAyxM6B/BuH7h7EwpY93uYtbuKiG70OnZp0tSoFed1TuLmbU816vMaqk4VpC/heBAC8H+FgZ2CeWsPuG43SbPzEolIdqPM3uGERvhx5vfZbBpXynXjIlhbN8IAPp1COGhyYk890UaOUUuUnMcPPpxCn+5oCWdE71jEBEREWkMbDYb48aNY86cObzzzjvcfPPNnm0fffQRmzdvZvTo0cTGxvowyrrXkNZcEBERERGRxkkJNGkyZq/M4/vDyTOb1eCOSTVPnrlNkze+zWDD3hLW7ylmX1o5LjeM6RPOrxnl7E4tByDAz+COifH0avf7RrTJURbD4LRWQZzWKogpo0xScx3sSinjYJad2N9MuZlX7KpS3+WGwlI3haVuOLzEXdsWFVM2frUqj+3JZWxPLvNM5XnE+wuy2ZFcxrVjYggLttEmLoB/Tkniudlp7E+3U1jq5unPUvnjhDiGnBb626cVERERafDuu+8+1q5dy7PPPsuqVavo0qUL27ZtY8WKFbRq1YpHH33U1yGKiIiIiIg0eEqgSZOw6JcCZq2oGKFkMeBvk9vQNb7ma1klZ9nZ/GspAAcy7TjdFeWrdxZVJGiAsCAL91zUkg4tNTKpthmGQWK0P4nR/tVuP6NrCPERNvKKXRSUuCgpd3v+ldoP/7fcTUigBYCkWH+CAyyUO9y43FWPt2pnMat2FtO+hT892wXTv2MwD1yWwBvfZbJudwkOl8lrczNIz3NwweBITdMpIiIijUp8fDwzZ87kxRdfZOHChaxcuZIWLVpw3XXX8ac//YmoqChfh1hvtNaXiIiIiIj8XkqgSaPnNk1WbC/yPL7z4tYM7xl5UtO2tIkL4OHJibzyTQY3T4hla3IZs1fmepJnseE2/npJyyrrakn9ODJS7Xjcpon7cLJsYOcQ2sf78/OeEg7lOkjPdbA/o9zzfh6xL8POvgw736/P56Vb2nL7xHhmLM1h7tqKIW2zlueSluvgD+Pi8LMpiSYiIiKNR1xcHI8//rivwxA5ISU5pTHQtLAiIiLNkxJo0uhZDIN7L0rg7R8ySYjyY/zp0b/rOO3iA3j6+lak5jiYt6EA5+FZA9vE+XPvRS2JDNXHpSGzGAaWSoMOY8P9GNsvwvPYNE2yC5z8a8YhcopcmObRfft0CCLIv2L02uSRMcRH+vHe/CzcJizfVkRWgZM7J8UTFlTzUY0iIiIiIiIiIg2dEsQiIsemjIA0CX42g1vOiTupOnanGz+r4TU934FMO//5PJXisoqRSp0TA7jnogSCAyy1Gq/UP8MwWLenhOzCisyon9XA4arIou1JLSc9z0F8pB8A/TsGM30hGGbFWms7U8p49KMU7rmoJQnHmGZSRERERESkqWpIIwUbUiwiIiLStCmBJo2S2zQpLnN7jQg6mXWq3KbJK3My8Pcz+OP4OH7ZX0phqYtPlmRTaq9IqnRvE8RdF8QT4KfkWVMR4GcQ6GdQ7jS5fWILPlyUQ3qeg5xCF499nOJZ427+xqMjEI/IyHfy6MeHuGNiPN3bHH86SRERERERERGRhkzJaN/RqD+RxkMJNGmU5qzOY/7PBfz5/Hi6JgWedP0vV+SyYW8JAPnFLvallVPuPDqnX5/2wdw+sQX+NiXPmpIze4XTs20Qm/aX0rdDCB1aBvLcl2nsTatYH+1fn6Zy89lxtIzyJzbcRlaB06t+Sbmb/3yeyo3j4hjZM8xHr0JERERERERERERE6poSaNLobDlQyufLczFNeObzVJ77YxvCg2u+NtW63cV8uTIPAKul4l/l5NnAziH86dwW2Kw1H9EmjUdsuB9jeldM1RgebOX+yxJ4ZU46P+8rxeEyeeWbDCYNjuTp61qxeHMhs1flUVBydDia24S3f8gkLdfBpcOjsJzEyEcRERGRpmzt2tVcdtllJ9zv4osv45FHHvcqe+yxh5k167MaPc/Uqbfypz/d7lV2xx23sGTJohrV7/vnnrQ7u41X2cK7fiJ/T0GN6g9+aAAJg+K9yr67fj5lOeXV7v8lc70en/ncMCI7RXjvM8l7n+OZ8L8xBMUc/RFhaXYZ39+woMb1f/55u9fjvN35LLp7WY3qBkYHcPa7Z3mVpa5OZ9UT62pUP6JjOKOfH+5Vtv+7A/z86uYa1Y8f2IIhD5/uVbbto53s+GR3jeq3Hd+afrf18irb8PIv9P3htBrVP9W+99BDj3LppVd4lV155cVs27a1RvWnTXuVUaPGeJWNGzeCzMzMGtX/6KOZdO/e06usb9+avXY49b534Vfnej0+2b73z988la/73muvvcQbb7xSo/q+/t5r7H3vhx8W06LF0e/djIx0xo8fVeP6v/3e27p1M1OmXFqjunFxcfz441KvssWLF3DnnX+uUf1u3brz8cezvMpmzvyUJ574R43qjxx5Ji+++LpXWX32va6TO9FtShevshWPryV9TUaN6p/ob+5v/0b+lq/7ni+/95p736vN770jI/70vVc/33u9evXiu+++8yrzdd/79df9dO7cqUb1f0sJNGlU8oqcvPpNOubhfNcVI6JPKnl2KMfOG98d/SM/skcYizcfHTZ9RtcQpp7TAqtFSZHmIsDPwqjeYfy8r9RT9tWqPNJyHdw0IY7hPcL4ckUu36/Px300z8qcNXmkZJdzy7nxBPlrpKKIiIiIiIiISG36KPMdFh6Y41VW6KrZD14A3kx7nsjQiBPvKCJyDEqgSaPhNk3e+C6TwlI3UJHsGts3vMb1S8rdvDA7nbLDa5x1ax3Ios2FnmTcmb1CuX5snEYUNUM92wQz5cwYvlieQ7nDxG3C6p3FZOY7ueuCeLq3DmJIt1CmL8hi16GjvyzesLeUxz5O4S8XtCQ+0s+Hr0BEREREREREGrp/Hrib/TkHarz/jtKtVdYq25a/s8b11xWtrFLfQkiN64s0VnNyPmPzgVVeZYfsyTWuf6rJ2+bM6XQ1qXX+DNM0zRPvVj273Ul+fumJdxSpBd+syePTpTkAtIiw8fg1raod+RMXV7E2VeUPqts0mTY73bPuWYsIGxn5R9e3mtA/gimjojGUPGvWHE6TPallvPh1OkVlbtrHB3Dp0Cie+SKN6DArV58ZQ2aBk1nLc/GzGhSVVSRzQwIt3HZ+PD3aBNXoearroyINifqoNAbqp3IiERFB+Ps3vN8Lulwu9uzZQ1FREW63m+Ndjg0cOLAeIzt1DfH68Lc3DX0SQ5vnKv6rWLw0xFgaC1/8DWxI71NDiqUhaUrt0pTP8xrS+6RYvDWkWKBhfs80JA3hfWpIfUb95fhO5dqw4V1RilRjT2oZM5dVJM+sFvjzeSc3bd6XK3I9ybMgf4tX8mzS4EguGRql5JngZzM4rXUQ/5ySxLvzs7hpQhzvz88CIKfQhb+fhXMGRDKqZzildjfTvkpjf7qd4jI3/5mZypVnRjOhX4T6koiIiFTrvffe45VXXqGw8MQ3BA3DYOvWmq3RICIivqGbpiIi0pDo71LtUwJNGrxyh5vX5mbgqhjsw2XDo+nQMqDG9dftLubLlXkAWAwotbs9205rFajkmVTRItKP+y5JAGDi4Ej8/SzsTSsnPNhCabmb4AALwQEWLhsWzceLs0nOdmACHy3KYX+anT+Mj8PPpj4lIiIiR82dO5ennnrK8zgoKIiAgJqf04qIHNEUR+WIiIiINERKoEmDN3NZjmfEWM+2QZw9oOaLfx7KsfPGdxmex+7fzJDTOtZfyTM5rg4tA/nTuYFk5jt47ONDBPpbuHNSPK1i/Vm4qYDkbIfX/su3F/FrZjl3X9iSuAitiyYiIiIVpk+fDsB5553HfffdR3x8vI8jEhERaZiUJBY5SiOKRHxLCTRp8AZ1CWXTvlLyip38cXwclhomvErK3bwwO50ye9V1Jfp2CCYz38HlI6JrO1xpoj5ZkkN+iYv8EhdzVudx/dhYNv9ascZHVIgVh8v0rImWku3ggfcOcsu58QzopMV5RUREBLZv305kZCRPP/00fn76kY1IQ9SQblI2hFhAN01FROSohvC3SX+XpL4pgSYNXufEQB6/JomDmXaiw2rWZd1uk9e/zSAt11Fl2xUjojlvYCROl4nNqtFnUjNXj44hv8RFQYmL686KJdDfwrN/bMOKbUUEBVjo0z6Yf89M5WCWHYByJ0z7Kp0ebYO4a1I8/n41X7NPREREmh6LxUJiYqKSZyIi0uQ1hJvsoBvtIiJy6nRHVxoFf5uFjgmBNd7/w/np/Ly3pEr55JEVyTNAyTM5KVGh/9/efUdJVaR9HP92nJwTk8gMiAiSRUQkKIJiBHNkVUzo6rq7Ztew6oZX1xwwIgYUMaEoqIBIBsk5DAwzwOScOt33j5aGdmZggEnA73MOR7vurdt1q2s63OfWU1buH5PI38ckEhTgfesMC7JwTq8I+nYKITzYwqNXJtGzfbBfvXU7K3n6s93kFNUM5oqIiMiJo3PnzuzcuROXy9XcTREREREREZF60Aw0aZFyi51EBFuOaNbOwvXFfPRzdo3yc3qGM6pPZAO0Tk5UVouJmD/MgszIreaZz/ZwxaBozuwWxt0XJPDG9zks3Fju22f7XgcPTdrFNUNjOfPkMHbnV5MUE9DUzRcREZFmdMMNN3DXXXfxyiuvcPfddzd3c0RERE4YLWFGnGbDiYgcmxRAkxbH5Tb431fZON0GN50TR1py/WeeGYbBlNk5tW77aVUJMeFWRvaObKCWyomu2unhlW9zKK/y8PasPNbsrOTG4bHcNiqB9q2K+XBO/v59XfD2zDyWbCpjXUYVXVoHM6pXON3bBR/kGUREROR40a9fP6677jpef/111q9fz5lnnklCQsJBUzoOHjy4CVsoIiIiIiIiB1IATVqc6UuLfOtIffZrAQ9elojJVL90iyaTiTNOiWBT5v70jW0T7OzIduD2QKDWoZIGZDGb6NU+mG8LigFYsrmcbXuquXVUPCN6RRAebOHN73Po2jqINTsqAVizswqA9Tsr6NEmUAE0ERGRE8SAAQMA7w1fv/zyC7/88stB9zeZTKxfv74pmiYiIiIiIiK1UABNWpTMPAdfLSoEwGYxMe7s2HoHzwB+XFnMpJ/3z/q5cnA0I3pF8P3yYtKzqznrlLAGb7OcuKwWE5efGcPJbYJ44/tcisvd5Je6ePrT3VzQL5ILT4uiU1IqseE21mdU8uYPORSUun31N2ZWcfpJLiJCvG/FDqcHi8WExaz1+URERI43iYmJzd0EEREREREROQwKoEmL4fYYvPVDLm6P9/HFA6JIjLbXq67D5eGXtaX+wbMzo33pGkf1icQwjMMKxonUV7c2wfzz2hQm/pDLqvQKDAO+WlzEqh0VjD83HoCurYP457UpfDQ3n3nrygBYsb2C+9/P5PLf10/7dlkxizeVMfaMaHp1CNZ4FREROY78/PPPzd0EEREREREROQzKZyctxg+/FbM9uxrwpl0c2SeiXvUWbCjjnokZfsGzm0YlMrJPpN9+CkZIYwoPtnDvRQlcOyQGm8U71nZkO3h0chYzfyvGYxiEBFpIiPSuc2L9fZ/yKg/vzMrjH5OzmLGsiN0FTl75NpvCMnedzyUiIiIiIiIiIiIijUsBNGkR9hQ6+Hy+N3WjxQw3nxNfrzR2O7KrmfhDDqWVHl/ZdWcn8NuWUnb8HowTaSomk4mze0bwxDXJtE3wzp50ug0mz8nn35/vJSO3mlkrSgBwuQ3Cgva/Be/IdVDlNAA4s1sY0WGaICwiIiIiIiIiIiLSXHSFVpqdxzB4e2YeTrc3eHBB/yhS4+qXunFtRqUv5SPA5YOi2Lq7it+2lLFmezl3nh9Pzw4hjdFskTolx9h59Ipkvl5cyNeLi/AYsD6jkqc/3cPofhHMWllKQamL0koP8ZFWAm1mMnIdvvoLN5QRF27j7FPDsdvMuNwG0xYUcnbPcKJC9bYtIiLS0g0YMACTycSUKVNITU31lR0Ok8nEggULGqN5IiIiIiIiUg+6EivN7qeVJWzOqgIgNdbO6H6R9au3qoRP5xX4Hl82KIphPSJ4dUYeAMGBZtq1Cmjw9orUh9Vi4pLTo+nRLpjXZ+SSXeSkotrDlHmFnNIuBIvJRG6Jk5wiF62ibFwxKIpvlxVTWumh0mEwZV4BM1cUc9FpUTjdBtOXFjFzRTHjzo7j9JNCm/v0RERE5CAKCwsxmUy4XC6/ssOh9OMiIiIiIiLNSwE0aXbJMXZiw63kl7r40zlxvrWhDmbOmhLe/ynP9/jyQdGc1zcSgKfGtefjn7NpE20mMkRDXJpXh8RAnro2mU9+KeCnVd70jWvSywmwmYgMsVBU7mZvoZOfVpfyt0tbMW9dGT+tKsHtgcIyN+/+mIfV4j2W023QJr5+szNFRESk+UyaNAmApKSkGmUiIiIiIiJybFB0QZpd19ZBPH1dCht2VdK+HjPGJv2cx48rS3yPDwyeAVjMJq4Z3orc3NLGaK7IYQuwmbl+WCz90kJ4Z1Yu2UUu3B6447x4Jv2cz648B7nFLp7/Mpu/j01kRK8Ipi0oZMGGMgzA5fYeJ8huZuvuKuIjbNis3kBzcbmL8GCL7lIXERFpQfr161evMhEREREREWm5zM3dABGAQLu5XmuVfbmowC94NmZgFCN6RVBe5W7M5ok0iJNSg/jntSmMHRzHtWe3onNKEPePTaRdgjdwXFDm5suFRcRF2Bg/Mp6nrk2hZ4dgX/2Kag9vz8rjvncymLG8iIoqN/+ZtpfHP97Nxl2VzXVaIiIiIiIiIiIiIscdzUCTZlFW6SbQbq5XusZ9fl1fyrQFRb7HXVICGd0vkg9m57NmRwV/vrAVyTFKbyctm91mZty53nROubmlhAVZ+PuYRP79+W72FroYdPL+9c1S4+zcc2Ertu2p4pslRfy2rQLwpnb8eG4Bn88vxOEyAPhiUSEPpAY1/QmJiIjIYVmzZg3btm2jsrISj8fjt83tdlNdXU1OTg6//PILP/zwQzO1UkRERERERBRAkyZnGAZv/pBLfomLm0bE+WbfHMzanRVM/D7X97hVpI37x7RiwYYy34y0f03dw3/HpTZau0UaS3CAmVZRdrbvdfDvz/cy/tw4BnYN823vkBjIny9sRWaeg2+XFbFwQxkeA1/wDCAsyEJ2kZOESFtznIKIiIgcgsPh4M4772TevHmH3NcwDKVnFhERERERaWZK4ShNbuHGclZur2BXnoNXv83B4zEOuv+2PVX8d9pe9u0VGmjmiWuTMJvNdGsTRFpyIADXDo3FbtOQlmOP02VQWOoCICzIzKntvWkbs/IdbDggNWNKrJ3x58bz3z+lcvap4dit+y+sLdlczt/e3cVL32SzbU8Va3dW8J/P97Bld1XTnoyIiIjU6sMPP+SXX37BMAxSU1M5+eSTMQyD5ORkevToQatWrTAM7zfeU089lYkTJx7V8+Xm5vLoo48yePBgunXrxsCBA7nvvvvYtWtXQ5yOiIiIiIjIcU8z0KRJFZe7+GB2nu/xDcNjMZvrvrs2M6+apz/dzb4Ym81i4vGrkwm0WQCICLFy/5hE1uysoGf7Q6+hJtIS2awm7h+byIINZdisJkICLWQXOvnX1D2UV3m46ZxYBpy0f0ZabLiNa4fGcuFpUcxcUcxPq0oor/JgGLB0SzlLt5QTaDdR5TBYs7OSp65NpnXcoWd6ioiISOOZMWMGJpOJBx98kGuvvRaHw0H//v056aSTeOmllwCYP38+f/nLX9i0aROtW7c+4ufKzc1l7Nix7Nmzh4EDBzJq1CjS09OZPn068+bNY8qUKbRt27aBzkxEREREROT4pOk60qQ+mJ1PeZV3rYezTgnj5NZ1r9mUU+TkyY9343R7H5tN8OBlicRF+Keos1pMCp7JMc9kMjGwaxj90rxroP28uoSicjdOt8FrM3L5z+d7KK9y+9UJD7YwZmA0/7u5NdcNjSE+Yv89EVUOb9TZajGxdXc1Duf+NVbch5j1KSIiIg0vPT2diIgIrrnmGgDsdjtdunRh6dKlvn0GDhzIk08+SWVlJe+8884RP9dLL73Enj17uP/++3nnnXf4+9//zuuvv86///1vioqKePbZZ4/6fERERERERI53CqBJk1m6pZwlm8sBiAq1cMWZMXXuW1Dq4vGPs6h07r/Qf+f58bSJD2DaggIqHZ4664ocDy4/M5rB3UJ9j9fsrOSetzKYt67Ul95pnwCbmeGnRvDvG1OZcH48HVrtn23mchu891Me97yVwbQFBZRUuPnPtL3876u9rEqvaLLzEREROdFVVlaSnJzst7ZZhw4dKC4uJjs721c2fPhwoqOjWbhw4RE/148//kh0dDTXX3+9X/kFF1xA69at+fXXX/F49H1aRERERETkYJTCUZpEWaWbST/tT9144/A4ggNqj9+WVLh58pMsSiv3/6i/cnA0vTuG8M6sPOauLeW3bRXce1ErosM0hOX4ZDaZuGF4LLnFLtbv8q5jVuUwmPhDLnPXlnLtkBjaxPunZTSbTfRNC6VPpxC27K5mxrIifttWgQGUVnr4clER05cU4fr9T6uy2kOPdsFNfGYiIiInpvDwcCorK/3KUlJSANi6dSsJCQmAd1Z6UlISW7ZsOaLncbvdjB8/HqvVitlc8/u23W7H6XTidDoJCFCKZxERERERkbpoBpo0iQ/n5lNc4U0/N/CkUE5tX/tF+/IqN/+cspv80v2p6ob1CGdk70iKyt2s3O6dMZNT5KTsD+nsRI43FrOZv49J5Jye4X7lm7OqeHRyFm/9kEtRmatGPZPJRFpyIHdf2Ipnb0xhaPcwbBbv3e6uA242r3R4yMp3+B4bhsE3SwrZmFmpNI8iIiINrFOnTmRkZLB3715fWbt27TAMgzVr1vjtm5eXh81m++Mh6sVisXD99ddz9dVX19i2bds2tm/fTuvWrRU8ExEREREROQST8cdcYIfB4XBRXFx56B3lhLZqewX/96X3QkF4sIVnrk8hLMhSY79Kh4enP93Nzpz9F/RPbRfEny9qhfn3VDd5JU7+91U2YwdG06OOIFxcXBgAubmlDX0qIg3iSMbo14sLmTq/sEZ5gM3E6H6RnNsrArut7nsiSirc/LyqhFkri/1md5pMcHqXUC4eEEWlw8Mjk7MAGHRyKDePiK93++T4ovdRORZonMqhREQEYbe3nGwFH374IU8++SSdOnXigQce4PTTTycvL4+zzjqLiIgIPvnkE1JTU/n44495/PHH6dq1K9OmTWuw5/d4PIwbN46FCxdy3333cfPNNzfYsVsivTeIiIiIiDSffb/Zj3Ut5xelHLcsFogKsVBY7ub6oTG1Bs8cLg//98Uev+BZ23g7d5yf4AueAcSG23ji6mTMZlONY4gczy7oH4XdauKjuQV+5dVOg6nzC/l5dQmXnRHDaV1C/P5m9gkPtnDRgChG9Ylg/oYypi8tIrfYhWHA/A1lLNpURlLM/jvdT27tH6B2uQ1mrSzm1PbBJEbZG+ckRUREjmNjx47l888/Z/369dx8882sXLmS2NhYRo8ezRdffMHIkSMJCQmhpKQEk8nERRdd1GDPbRgGjz76KAsXLqRbt2411kYTERERERGRmjQDTZpEeZWbxZvKGdojvMY2l9vgf1/tZfWO/WMpIdLKY1cm43AZRIZaag0I1EV3pEtLdzRjdPbqEibPzuf2UXFsz3bw/fJinO79b+PtWwVw9VkxdEoKPOhxXG6DX9aW8tWiQgrL96dDtVogJcbOny9MIDpsf0BtfUYlz07dA8DofpGMPSP6sNsuxw69j8qxQONUDqWlzUADKCsr4+WXX2bJkiW+2WUlJSWMHz+eFStW+PYbNmwYL774IhZLzRvPDpfL5eKRRx5h2rRppKam8uGHH/rWW2toLen3od4jmpb6u2mpv5ue+rxpqb+blvq76anPm5b6u2m1xP4+mt+GCqBJs/J4DF6bkcPiTeW+sohgC49fnYzbY/DkJ7s5uXUQfzonDqulfkG0lvhHKnKgox2jBaUuosO8b/p5JU4+nVfAogP+hgD6pYVw+aBo4iIOvn6Kw+nhp9UlfLO4iLKq/akdY8KsXD4omv6dQzCZTHw0N5/vlxcDcM9FCfRsH+Lb1+0x2JFdTftWAZgOI9gtLZfeR+VYoHEqh9ISA2gHs2LFCrKysmjbti3dunVrkGNWVlZy9913M3fuXNq2bcu7775LUlJSgxy7Ni3p96HeI5qW+rtpqb+bnvq8aam/m5b6u+mpz+V41hLH99H8Njx2flHKMaXK4cFqMR006OUxDN6ZlecLnlnMYLeauH9sIpEhFh6ZnEVRuZv5G8qIDbdy6UDNeBEBfMEz8KY1HT8ynpLKPeSXuMgucgGwZHM5K7ZV8MgVSbRNCKjzWHabmZG9IznrlHCmLynyzWjLL3Xx6nc5zFoZwLVDYhnZO4JWUTZWp1dwcmqQ3zHW7azkv1/sJSHSxpWDo+nVIaSOZxMREZG69OzZk549ezbY8YqLi7n55ptZtWoVXbt25a233iImJqbBji8iIiIiInK8UwBNGsV7P+axu9DB+HPjSY6puV6SYRh8NCefX9Z5I9F2q4m/XtKKVlE2IkK8w/Lqs2L439d7aRVpY1SfyKZsvsgx5eO5+azPqALglDZBZBU4KCh1kxRjo3V8/dYrC7KbGXtGNGedEsanvxb4Attbdlfz2EdZnH1qOJeeHs3Q7jXTsP663vt3nF3kJNBmbqCzEhEROX6VlpZSVFREdXX1Qffr2LHjER2/urqa8ePHs2rVKvr168drr71GaGjoER1LRERERKSlsU68ormbgOvmT5q7CdIEFECTBrd0SzkLNpYB8H9f7OU/41KxmP1non2+oJCZK0oA75pLd1+QQOcU/1ktXVsH8dBlSUSGWAgK0EV5kdp4PAbu/ZkXWbOzktbxNvqlhdCrfYjf+oGGYbAps4rOKYF1plqMi7Bxx3kJnH1qFR/NyWd7djWGATNXlLB0cznXDImhb5r/BbgBJ4XidBnsynPQJdV/7bUtu6vIyndwRteweqdhFREROV7NnDmTF154ge3btx9yX5PJxPr164/oeZ577jlWrFhBz549mThxIoGBB18bVURERERERGpSAE0aVEmFm/d+zPU9vnZITI3g2fQlRXy9uAgAE3DHeQmc0jYYwzBqXNRvE1936jkRAbPZxPXDYumcEsg7s3Kpchhk5DjZW+CiVZTdL1j227YKXvg6my4pgVwzJIbWcXX/faUlB/LoVUnMWV3Kp78WUFHtobDczUvTc+iXVs71w2IJC7IA0LN9CD3bh+ByG34BO4Bvlxbx27YKvl5cxN8uTaRV1MHXZBMRETleLVy4kLvvvpv6LkF9pEtV5+bm8uGHHwLQvn17Jk6cWOt+t9xyCwEB+q4tIiIiIiJSFwXQpMEYhsG7s3IprfROhzmjayg9/7AW0o8ri/n01wLfY5MJWsfZMQyD937MIynGzoheEU3abpHjwWmdQ2kTb+e1b3PYkePA4fL+Ta3Y5g12RYVamTLP+7e3MbOKskrPIY4IZpOJoT3C6dUxmI/nFrDw95mlSzaXszGzihuHx9K74/6/8T/OMCupcLMqvQLwrnEYF6GPHBEROXG99dZbGIZB//79+ctf/kLHjh0JDg5u8OdZtWoVTqcTgM8//7zO/a6//noF0ESOUbm5pc3dBBEREZETgq5mSoOZs6aU5du8F8ujQy1cfZb/IuXz1pUy6ed8v7LrhsYSF2Hj47n5zF7j/RHgcBmM7hfZJG0WOZ4kRtl59Mpkpi0o5NulRRjAqvRKHng/k+uGxnL9sFg+nptPdJiVrq39U6bWNgN0n8gQK7eNiuf0k0J5Z2YuheVuSircvPB1NgO7hnLNWTGEBFpq1AsPtvDkNSl8vbiQ7u2Ca8xGzStxERuujyERETkxrF27lpCQEF555ZVGXY9s+PDhbNq0qdGOL3I803oqIiLSFHQjhMixQ1cupUHsLnDw4RxvcMwEjB8Z73dBfenmMt6auT+14+WDokhLDqJTknc9hqgw71C0mL0z0kTkyFgtJi4bFE33dkG89UMuOcUuqp0GESEWTm4dxBNXJ1Pp8J995nIb/GvqHk7rEspZp4TVCHTt06NdME9fn8IHs/NZsME7G23++jI2ZFRyy7nxNYJyACmxdm4/L6FGeV6Ji7+/u4vu7YK4anAMcRFK7SgiIsc3h8NBu3btGjV4JiLHj5YQzAMF9EREROTEpgCaHDWny+DVb3NwuLzrNJzfL5KTUvdfSF+VXsEr3+awbxmHi06L5Ly+UX7HOLdXBEF2E0F2Mz3aNXwqG5ETTZeUIJ6+LoWvFhdRUOaie1vv35XZbCIk0ILHY2D+PVA2e3UJm7Kq2JRVxcwVxVxxZjSntguudUZaSKCFW0fG06djCO/+6E3ZWlDm5l9T9zCqTwSXDoyukcqxNp/Oy8fpNli+tYLEKDuXDYpu2A4QERFpYTp06MDu3bvxeDyYzebmbo6IiIiI1EI3MIjIgRRAk6M2dX4BGbkOANonBHDxgP3BsY27Kvnfl3vx/B48G9Erwm/7gQZ3C2/0toqcSOw2M2PPiMbYF73+nctt8NiHWfRoF8x5fSMoKHNhMoFhwJ4CJ89/mU3X1ECuHBxDm/ja10bp0ymEtORA3p2Vy/JtFRjAt8uKWZdRyW2j4kmMPvhM0r5poWzfWw3AhadFNsTpioiItGhXXHEFDz/8MB988AHXX399czdHREREREQaQEsIuirg2nhMxh+vrB4Gh8NFcXFlQ7ZHjkGrtlcwcWYu1U4PT12TQkKUNxXbtj1VPP3pbpxu734mEzx9XTLJMQEs3VxGWJCFLqk1U74drbi4MED5hKXlau4xOnNFMZNne1OuhgSaObdXBCelBPL1kiJW79j/nm4CBnYNZczAaKLDar/fwjAM5qwp5cM5+b5ZqIE2E+POjuO0LgdPUeVwecgvcdUItmXkVpMUba/XTDZpHM09RkXqQ+NUDiUiIgi7vXnuF9y6dWuNMsMweOyxx1i1ahWXXHIJw4YNIz4+Hru97ptOOnbs2JjNbHALFixg7Nixh9zvkkvG8uijT/qVPfHEI0yb9lm9nmf8+Du47bYJfmV33XUrv/wyp171H374ccaMudyv7MorL2HDhvX1qv/CC68yePBQv7Kzzx5Ebm5uHTX8ffTRVLp27eZXduqpXepVF2DmzLnEx+9PkZ2Tk8055wyud/2VKzf6PV6/fi1XXTWmXnXj4uKYNWueX9ncuT9z992316v+SSd15eOPp/mVTZ06haeeeqxe9c888yxefPF1v7LXXnuJN954pV71j3bs3dY3gTv6JfqV3fHtdubuKKlX/cfOSmHsybF+ZZd9uon1ufW7rvLyqHac1S7Cr2zIu2vJrXDVq/6UsWmcHO+f8aXbKyvrVRdO7LE3fPhw3n//fb/vHU059vS+d+KOveZ+3zvRx97PN5xMfMj+JSdyyp0MfW9dveuvveNUv8frciq4/LPN9aq7b+wdGJyZk17Mnd+l16t+17ggPr2ss1/ZZ+vyeHxOZr3qD24bzivntQf2B2eOpbF3rH/mHu3Ya873vVNOOYXvv//e7zOzud/3ioqy6dTpyH5baQaaHLUe7YP557XJZOQ6fMGzjNxqnv1sjy94BnBBv0iSYwJYtb2CV7/LwWwycdfoBHq0V8pGkSZleINcVU6D8ioPny8oJMBm4qxTwhlwUijfLS1mV54DA/h1fRlLNpczsncEo/pGEmT3TzllMpkY0j2cLqmBvPZdDjuyHVQ5DV79LodNWVVcNTgGm7X2QJjdaq4RPCssc/HMp3uICbcy/tx4UrUmooiIHINGjx590O1Tp05l6tSpB93HZDKxfn39Li6JiEjjcjhcR3XTjnnjz1gnbvlD2a761/9tKtaJ8/3KTBnbj7g9IiIijcXlch9XN7oqgCYNIiLEyikh3uG0p9DBU1N2U+3aP7lxdL9ILjndm7px6ZZy3B5wY7Axq1IBNJEmdk6vCPp3DuHLRUXMXVuCyw3VToMffivGYoa+nULo3i6IX9eVUVzhxuEy+GpxEXPWlHLJ6VEM7hbmWz9tn8QoO49ekcwnv+Qzc4X3DtyfVpWwfW81d54fT1yErbam1PDBz3mUV3soz3Xw0+oSbhgWe+hKIiIiLcxRJPlo0GOIiDQk60e3Yz3gbnhrufPw6v8hxZUlp6L+lcsLD+u5pGWxfPEg1vlHfu2nucdejfrpxfWubspLxzrxCt8MHuvEK7Csy6t//Yzfajy/+bc99a5fW/AWOtW7vojIiU4pHOWIrNhWziltg2ukWMsrcfLwB5lUVO8fVuf1jeCyM6Ixmbz7ejwG7//k/bJww/BYX3lDUUonaela0hgtKnMxc0UJP68uoaLa47ftLxcnsG1PNd8tK/alZwRIjbVz9VkxdG1dewrWJZvLeGtmLlUOb53gADPjz42jZ4eQQ7ZnT6GDN2fkUlrp5qlrUwj8w4w3aRotaYyK1EXjVA6lOVM4nqha0u9DvUc0reOlv1vSGiYtoS3QstqjttRObalbS2pPS2yL1K4lvEbQMseM2uJPbaldS3yPOZrfhvpFKYdt+dZyXvg6m05JAdxxXoJvbaSiMhePTM7yC56d3zeCsQcEzwDMZhM3DI/FgAYPnonI4YkMtXLZoGhG94tkzpoSfvitmIIyN/ERVk5pG0yPdiEM6R7O5/MLmbeuFAPYlefg2al76NUhmCvOjKFVlP/ssn5poaTG2Xn5mxx25TmoqPbw/FfZnNcngjFnRGMx1/13nxhl5+ErkigoddUInlVWewgKUEBNRESOPVVVVQQGBta5ff78+Zx88slERkY2XaNERETkhKYL7SIih6YrkXJYsgudvPl9DgBbdlezYZf3DtOSChcPfZBJedX+GSwXD4jkskEx5BS7yCvxX2DRZDJhVvBMpMUICjAzsk8k/3dTa+6+IIHLBkX7/kajQq386ZxY4iKsBNn3/93+tq2CB97fxfz1Ne80Toyy89iVSZx5cpiv7NtlxTz72R4Kyw6+4KrFbKqR8rG43MXf39vF1PkFuD1KaSUiIseGsrIynnnmGU4//XT27t1b6z4ul4sJEyYwePBg/vnPf1JRcRhppURaiNzc0mN+9pmIiIiIyB9pBprUW7XTw0vTs6n8PS3bkFPCGNg1jLJKFw+8n0lp5f7g2eWDojmvbyQFpS7+NXUPhgF/H5NYY6aKiLQsFrOJ3h1rplrcvLuanOL9gS8TsC+M1Smp9jvq7TYzN42Io3NKIO//lIfDZbApq4pHJmdx53nxdEmtPQXkH3kMgze+z6Wo3M3Xi4uwmE1cPCDqcE9NRESkSWVnZ3PDDTewY8cODMNgyZIlXHDBBTX22759Ow6HA5fLxeTJk5k/fz7vv/8+cXFxzdBqaUy6019ERKR2+owUkZZKATSpF8MweGtmLhm5DgDaxtu5ekgM5VVu/v6ef/Ds6rOiGdErEoCPf8n3zT77+Jd87rmwVZO3XUQagGHQMTGArXuqvQ9/L3Z74M0fchlyShh900KwW83sKXDQKsrmS9E66OQw2sYH8NL0bPYWOimpcPPs1D1cfmY05/aKOGQqVxPQt1MImzKriAy1MKJXRCOeqIiIyNHzeDzcfvvtpKenExUVxS233MKZZ55Z675paWksWbKEadOm8dJLL7F9+3YmTJjAxx9/rHTn0mh0oVJERERE5NAUQJN6+WpREYs3lQMQEmhmwugEnC6Dv727yy94dv2wGIb12H9x+4ZhsRSUuqhyGNx8ju6iFTlWdU4J4tErk9mV62D2mhIWbCijotr7t785q4rNWVVMnpPPOT3DmbG8mKRoO1eeGU3nFO8ss9Q4O49flcxbM3NZuqUcjwEfzy1g255qbjonrsZ6ZwcymUwM6R5Ox8RA3B6DYK2DJiIiLdzXX3/NunXraNOmDR988AHx8fEH3T84OJhrrrmGwYMHc9VVV7Fq1SpmzJjBqFGjmqjFIiIiIiIi8ke6CimHtGRzGdMWFgJgMcNdoxMICjDVCJ796exYv+AZQEighb9dmsjfxyQSGmRp0naLSMNLjbNz3dBYXrilNTedE0eHVgG+beVVHtZlVFLlMNi+t5oV2/3XcAkKMHPn+fFccWY0+26oX7K5nMc/zmJPgaNez902IcCvrLTSzUvfZJNb7Dz6kxMREWkg06dPx2Qy8dBDDx0yeHag1NRUHnnkEQzD4Ouvv27EFoqIiIiIiMihaAaaHNSO7Gre/D7X9/i6obF0SAzgz29mUFa1P3h284hYBp0cjtNlYBgGdtv+2GyAzUyAlj4TOa4E2Myc2S2MM7uFkZFbzc+rS1m2pZzR/SL5alERewqcjO4XyabMSn7bVsFZ3cNIjLJjMpkY1SeStvEBvPJtNqWVHrLynTz2URa3jIinT6ea66/VxWMYvPl9LqvSK1iXUcm9F7UiLbn29dhERESa0oYNGwgPD68zbePBnH322URERLB27dpGaNmJIze3tLmbIPWkdJIiIiIi0lIpgCYHtTGrCofLu9rROT3DGXRyGK9+m+0XPLv13DhO7xqG22Pw6rfZVDg8/PnCVgQdJCWbiBw/WscFcMOwAK45KwarxUT3tsHkFLsICbQwa2UJSzaXM2N5MbHhVjokBnD1WTF0bR3Ek9ek8NI32WzbW02Vw+DFb7I5v28kYwZGYTYfes2XskoP+SXemWeBNhOJ0YrUi4hIy1BcXExaWtoR1TWZTKSmprJx48YGbpWIiIiIiIgcDgXQ5KDO7RVBZIiFRRvLGHtGNK98m83yrd60bDarifHnxtEvLRSAD+fks3ybd9sr07O575LEZmu3iDQ9q8Ub9DKZTCRE2nA4PazPqPRtzytxkVfiYsmmcnp3DObaoTE8eFkSH87J4+fV3rvEpy8tIj27mtvPiyfsEGlfw4MtPHZVMh/OyWfQyWGH3F9ERKSpBAYGUlRUdMT1S0tLsdvtDdegE5hmN4mIiIiIyJHSFCE5pNM6hzL2jChe+mavL3gWaDPxwJhEX/AMYGj3cCJDLATYTFx0WlRzNVdEWgi7zcxzN7XmxuGxRIXuD24ZwLKtFfz5zV28+M1ezu0dwc0j4rD9HoBbl1HJo5Oz2L636pDPEWAzM+7sODol+adurKj2sDq9oo5aIiIijat9+/ZkZ2cfURCtsLCQrKwsEhN1M5qIiIiIiEhzUgBN/HgMw2/GCMCSzWU8OCmL1Tu8F7ODA8z87dJEOv7hgnVKrJ2HLk/iLxe1qrFNRE5MgXYzQ7qH8/zNrbnl3DgiQ/wDaavSK/nbu5ks31rONUNjiAnzbs8vdfHUlN3MWVNy2M9pGAZvz8zlv1/s5eO5+bjcRkOdjoiISL2cccYZeDwe3n333cOu+8EHH+Byuejdu3cjtExERERERETqSwE08TEMg4/n5vPs1D18vbgQwzDIynPw8vQcjN+vPwfaTNw/pmbwbJ+ESBtdUoOasNUiciwwm0yc0TWMF25pzZ3nxxMT5p9B+LdtFbw7K4/gAAspMd61zFxueGdWHm/PzMXh8tR22Fqty6hk6ZZyABZsLKOiuv51RUREGsLll1+O3W7nnXfeYdasWfWuN3v2bN544w1MJhNjxoxpxBaKiIiIiIjIoSiAJj7fLSvmh9+8sz2+XFTItr3VTJyZ69tus5p4+PIk2iYEAPDjymI+nJOHYWh2h4jUj8lkol9aKM/f3Jq/XtKK5BgbseH7g2m78hxk5juxHPDpNHdtKf+csoe8Ele9nqNbm2BuHhFHoN3EbSPjCQ/W2mgiItK0EhISePjhh3E6ndxzzz08+uijbN++vc79t2zZwoMPPsidd96J2+1mzJgxdO/evQlbLCIiIiIiIn9kPfQuciL4cWUxU+YVAGACrj4rlok/5LKnwAlAaKCZhy5PJDnGGzybv76UST/nA1DlMBh3diwmk6lZ2i4ix6ZT2gbzTNtgPIbBqvQKflhezPpd3lSx7j9MGkvPrubhD3Zx5/kJdGsTfMhjDzo5jF4dggkJ9A+eVVZ7sFpM2Kx6vxIRkcY1duxYduzYwTvvvMNnn33GZ599RlxcHJ06dSIyMhK3201hYSHbtm0jP9/7vdowDEaPHs1jjz3WzK0XERERERERBdCEOWtKfMEwgF4dgvl6USGF5W4AYsOt/H1MIgmRNt8+dqsJi9l7kTsp2qbgmYgcMbPJRM/2IfRsH8K2PVU8NWV3jQAaQEW1wX8+38vo/pFcPCAKi/ng7zt/DJ4BvPtjLln5Tm4bFU9KrL2hTkFERKRWf/3rXxkwYACPP/44u3btIicnh5ycHEwmU40sDh07duT2229n1KhRzdRaEREREREROZACaCe4+etLeXdWnu9xVKiF5dsqfI9bx9m575JWRIb4D5W+aaHcYzOTnl3NyD6RTdVcETnOdUgM5KHLkpi6oID1GVU1thvA14uL2JhZRf+0EKwWE707htQrTeOCDWUs2uRdG+25L/fyn3GphwzCiYiIHK0zzjiDmTNnsmTJEhYtWsT27dspLS0lMDCQ2NhY2rVrx+DBg2nfvn1zN1VEREREREQOoADaCWzxpjLe/CGXffe+BgeYKSxz+7Z3Tg7g3osSCQqofam87u2C6d7u0KnUREQOR8ekQO4fk8TmrCqmLSxkfUZljX02Z1WxZXcVhgGTZ+fz6u1tCLAdfFnPDq0C6JAYwLY91dwwLFbBMxERaTImk4n+/fvTv3//5m6KiIiIiIiI1JMCaCeo9RmVvD4jh32ZY2wWExXV+3OmdWsTxD0XtvKtE7Qju5q9RU5O6xzaHM0VkRNQWnIg949JZGNmJV8sKGRDpv+MtH3vXxEhlhrBsMWbymgdbycxan+axoQoGw9fnsTanZU1gv/VTg82qwmz0tGKiIiIiIiIiIgICqCdsDokBtAxMZBNWVWYTeB071+DYdDJofzpnDjfheSsfAf/mbaHskoPldUehnQPb65mi8gJqEtKEA9cFsT6jEq+WFjIpqwqurUJZO1Ob0Atr8TF4x9nctvIeJJiAqis9vDG9zm43JAcY6NPxxD6dAqhdZwdi9lEj1pmzr49M5fCMjc3nRNHQpStxnYRERERERERERE5sSiAdoIKsJnp2ymETVlVeA5Yv/yyM6I4r28kpgNmYaxOr6C00js7bfnWcgafEqZZGiLS5Lq2DuKk1EC27ammQ2IACzaU8d5PeVQ7DXbmOHng/SzO6RlOu1Z2XL9no83Kd5KVX8RXi4uIi7DSp2MIfTuF0CExwPc+t3xruW9ttP9M28O/b0zFrPSOIiIiIiIiIiIiJzQF0E4gpZVuwoIsALz7Yy6zV5f6tlnM8OcLE+jRLqRGvZF9InG4DNburGTC6AQFz0Sk2ZhMJjomBQIwsGsY7VsF8Oq32ezMdWIAP6woITjAxNDuYeQWu1i/qxL379lpc4tdzFhezIzlxSRE2jijayinnxRKdJiVlBgbmflOrj4rRsEzERE57mRnZzNq1CgmTJjADTfc0NzNEREREREROSYogHYCMAyDqfMLmbeulPsuacVbP+SyI8fh2x4SaOYfVyaRcMBaQX904WnemWlWiy4si0jLkRht564LWvHkJ7spKvdOO6uoNvh5dSkpMTZuGxWPw2WwfGs5a3ZU4nB5p9xmFzn5fEEhny8opEtKIGf3jCDAZqJnB/+bCIrLXRgGRIbq41JERI5N5eXlTJgwgbKysuZuioiIiIiIyDFFVwSPcy63wduzcpm/3vuD+ZEPsjggYyPt4u08cFkigXaLr6yg1EVJhZu2CQF+x1LwTERaorgIGy/c0ppvlxbx+YJC34yzzHwnL0/PISHSyqg+kdw4PJaNmVXM31DG6vQK334bM6vYmFlFSKCZjFwHw3qEExfhXQftwzn5rEyv4JLTozn71HAsmp0mIiLHkKysLCZMmMC6deuauykiIiIiIiLHHAXQjmOV1R5e/CabdRmVvrIDg2fDeoRz/bBYvzpFZS6enbqHkgo3f72kFR0SA5uotSIiR85kMnF+vyiGdA/nhW+y2biryrctu8jFuz/m8cvaAB67Kpl+aaGUVLhZtKmM+evLSM+uBqC8ysN3y4qZsayYc3qF06tDiG9ttO+XFXFWtzAsdgXQRETk2PDee+/x4osvUlVVxWmnncaiRYuau0kiIiIiIiLHFHNzN0AaR2GZi39+utsveLaPyQTjz42rETwDmLG8mL2FTiqqPXw0Nx/DMGrsIyLSUoUEWnhwbBL3XphAWJD/R1xZlZu9hU4AwoMtDD81nIcuT+Tp61IY1iOcQJs3OGYAyTF22iYEMLJ3BBYzXHVWDIF2fWSKiMixY9KkSSQnJzN58mQuvPDC5m6OiIiIiIjIMUcz0I5DWfkO/vP5HgrK3DW2BdlNPHhZEm3iA2qpCWPPiGZvoZOcYid3X9AKk0mzLUTk2HNqhxD++6cgpv5awKyVJYB3JtpDkzK5oH8kI/tEsDGzite+y+GMrqEMPzWcy86I5tf1pSzdUs7Ak8KwWU1cOTiGYT3Cqah2s2p7Bd3bBWEymcgvdfHpvAIuGRBFQpStmc9WRESkpscff5zTTz8di8XCjh07mrs5IiIiIiIixxyTcRRTjBwOF8XFNWc4SfNZn1HBc19m43DVfFkTo2zcPzaRqNCDx00dLg9VDoPwYMtB92up4uLCAMjNLW3mlojUTmO0aW3ZXcU7s3LJynf6yuIirIQHWdi2t9pX1ikpgLNOCadfWggBNv/ZZv/+fA9rd1bSITGAP1+QwKe/FjBvXRkWM9xzYSu6twtusvNpChqjcizQOJVDiYgIwm7X/YIA06ZN44EHHuCBBx7ghhtuaO7mNAm9N4iIiIiINJ99v9mPdfpFeZzwGAbz15fx9sxcPAfEzoLsJvqnhZJf6uLO8xMICvC/KLy7wEGgzUx02P6hYLea0bUGETledEoK5MlrUpi+pIhvlhThdBvkFrvILXZhNuF7z9yyu5otu3P5cE4+A7qEctYpYbSJD2BHdjVrd3pvFnE4Dew2E5syvWushQZZ6JyitSJFRERERERERESONwqTHOMcLg8LN5Tx/W/FfrMrAAafEsZlZ0QTFmTBMIwa6Rgzcqv519Q9hAZaePCyRCJCNBxE5PhktZi4aEAUp58Uyie/5LNsawWwP3gWEWyhuMKb9rai2sNPq0r4aVUJ7RICGH9uLH+7tBWfLyjkvD6RBNktPH19Cj+vKiEsyOJ30wLAgg2lpMYGkBpnb8pTFBERaXYtKUOJZqk2LfV301J/Nz31edNSfzct9XfTU583LfV302qJ/X002UkUMTlGFZe7mLOmlFkrSyip8F/rLDTQzH2XJtA+IchX9sfgmWEYfDg7n9JKD6WVHqYtKOTGs+OapO0iIs0lPtLGXRe0Yl1GJZNn5/luPCiucBNgheRYO3sLXVRUewDYU+ggOsxGUkwAJ7fe/55qt5o5t3cka3ZUcO/EDC4eEMXQHuFUOjy8MysPh8tg0Mmh3DwivlnOU0RERERERERERI6OAmjHEJfbYOX2CuatK2VVekWNWQ8hgWbKqzyUVXn4bWulXwDtj0wmE7efF88/P91DTJiVq86KaeTWi4i0HCe3DuKpa72zyKYtKKS82kO1C7bvdRBkN9EvLYSicjfJMTYC7d7Ut/tuRJj0Ux7xkVZOPymUj+bmU17tYfKcfOasKaFjUqBvDcqYMH3EioiIiIiIiIiIHKt0da+Fq3R4WLOjghXbKliZXkF5lafGPknRNiaMTqC8ysOzU3cTHmShX1rIIY8dEWLlwcsSCQ4wY7eaD7m/iMjxxGI2cXbPCE7rEsr0JUX8uLIEp9ug0mGwZHM5YUFmurcNpLzKTUigBYC8Eic/rSrBAD77tYD4SJtvHbXMfCeZ+U46JQVQUe1haPdwv+crrXTz1aJChp0aTmKU0juKiIiIiIiIiIi0ZAqgtTCVDg9bd1exOcv7b8ueKlzug9cJCTQTF24lOcbM3aNb0SbeTmRozZd24cYyenUIJsC2P1gWqXXPROQEFxZk4crBMYzsHcH0pUX8vLoElxtKKz1MnV/E9KXFDOsezoheEWzKrAITYIDTjS8FZHCA2Zf2ccvuaoIDzCzbWs7Q7uGYzd6Za3PXlDJzRQkzV5Rw68h4Tj8ptLlOWURERERERERERA5B0ZMm5DEMXC6DSoeHonI3RWVuCspcZBc52V3gZHe+g9wSF4ZRe/2wIDMBNjN5JS5f2eBuoVw/LA6rxXuBtkf74Fqf99N5BXy3rJie7YO564IELGZTjf1ERE5kkaFWrhkSy6g+kXy9pIhf1noDaVUOg2+XFfPDimL6dAzhzvMT2JlTzezVJZRWeoNm+4Jn+2ajVVR7mPRzPnPXlnLDsFg6JAayaFOZb5+urQP9ntvpMrBaaq5XKSIiIiIiIiIiIs1DAbRGtj6jkrdn5VJQ6sJdM/viQZmAlFg7p7YPJjbcyteLC/2CZ+C9UGs5RPbFskoP8zd4L9yu2F7Bhl2VdGtTM9AmIiIQHWblhmGxXNg/kh9+K+bnVSVUOQ1cbli0qZxFm8pJibFxQb9IbFYzc9aWsCPbAeBbm/L3SWrszHHw+Me7GdwtjD9fmMCaHZXkFDlrzP6dvrSIeetK6d85hFF9IgkLsjTtSYuIiIiIiIiIiByl3NzS5m5Cg1IArZEt3FhGbrHr0DsCEcEWkqJttG8VQFpKIGlJgQQFmPl2aRHv/5RX48IswG9bK8gf4CY2vO6XMjzYwt2jE/j3tD2MOztOwTMRkXqICrVyxZkxjO4Xyc+rS/hpVQkFpd6cupn5Tj6cW4DdaqJXh2BOSwtlY1YVK7dXYAImXBDPjGXFbNldDcDctaUs21rOZWdEM/aMaL/n8RgG89aVklfiYuZvJYzuF9XUpyoiIse5Sy65hEsuuaS5myEiItIsrntue3M3gUn3tm/uJoiIyBFQAK2RjegVQWmlm/IqDzarCZvFRIDNRGSolagQC5GhVmLDrSRF2wgJrDnjYMvuKj77tdCvbF/wLDXWzt0XJNQaPDMMwy8VWMekQJ6/qXWtzyEiInULCbQwul8Uo/pEsiq9gp9XlbBmRyUG4HAZvllp4cEW+qeFEBJopkfbEHp1CGH++jI++SWf0koP5VUe3v0xj7lrSrluWCztWwUAUFHloV1CAMXlbrq3DSI4wH9a8VeLCqmo9tCnUwgdEgMwK82jiIiIiIiIHEcU5BRpGPpbangKoDWylFg7f76w1RHX75QUyNDuYfy82n/qY99OIdw8Io5Au/+FVo/H4OvFReQUO7l5RJxfEE3BMxGRI2cxm+jVwRsYyylyMmdNKfM3lFJY5p2VVlLhZvHmcgAWbCijW5sgenYI4d6LWvHPT3fj8u7G9uxqHv8oiyHdw7hmSCyhQRYmjE6g0uGhvMrt95wew+CnVSUUlbuZu7aUl29tg1lv5SIiIiIiIiIiIo1OAbQWpsrhwWwGu9UbGFu9o4JlW8p92y1mGHtGNCN7R/gFx/Z54/tcFm70rneWEmtnVJ/IJmm3iMiJJD7SxmWDohkzMIqNmVXM31DKsi3lVDq8c4SrnAbLtlawbGsF4E29eyADWJVewXl9XcRF2AAIspsJ+sNNEdmFTsqrvAtontouGKvF/0izVhQTFmyhR9tgggIOsSCmiIiIiIgctzTrQEQam95n5ESkAFoLsnFXJRNn5tKvUwiXDoxm6vwCvltW7NseH2HltlHxdEgMrPMYZ50SxqJNZVjMYLcqzZeISGMym010bR1E19ZB3DjcYGNmJSu2VbBiewV5JfvXvzRqqZtf6ua+d3bRNTWQ0f2i6JwcgNls8rs5IjHazqu3t2H1jkqiQ/2nnrncBlPnF1DpMIiLsPLfcam13lghIiJyIjreFi8XETmR6D28aam/RUTqpgBaC1Dl8DB1fgEzV5QA8O2yYpZuKSeneP/F19M6h3Dj8LgaMwz+uNbZSalBXDc0lg6tAmibENA0JyAiIlgtJrq1CaZbm2CuGWKQmedkVXoFGzMr2ZRVRbWzZhjNMGBdRhXrMvZgMYPNaiItKZCOSYEkRNqIj7ASH2mjT8fgGsGxTVlVvhlvp7QJqrF90cYyUmLtJMfYFFgTEZEmsWzZEsaOHXvI/S65ZCyPPvqkX9kTTzzCtGmf1et5xo+/g9tum+BXdtddt/LLL3PqVf/hhx9nzJjL/cquvPISNmxYX6/6L7zwKoMHD/UrO/vsQeTm5tarfsfzXiA4ppNf2epJo+pVF+CkMR9gC47xPXZW5LNh6rX1rr9y5Ua/x+vXr+Wqq8bUq25cXByzZs3zK5s792fuvvv2etU/6aSufPzxNL+yqVOn8NRTj9Wr/plnnsWLL77uV/baay/xxhuv1Kv+0Y69+O5X0erUa/zK0n/+B6WZS+pVP/m0CcSkjfQr2zL9LioLttar/tGOvY8+mkrXrt38yk49tUu96gLMnDmX+PgE3+OcnGzOOWdwvesfy2Nv+PDhvP/++35lTTn2jvZ972jHXtshjxGe2t+vbP1n1+CqLPArO3VS7fWbe+x1v+47v8cV+VvY+u3d9aprDYqm69jJfmUluxazY/bj9aofFN2RTue/6Fd2LL3vNfdnbn3HXl0O5zO3tvHbEt73Dpz1dbRjL3/zDLIWvVSv+mEp/Wg39B/A/llfe1dOJmf1R/WqH93pXFIG3OVXlrnwRQq2fF+v+nV95p46qX6fuc39fe9Eft+7cmnL+763c+cOOnXqWK/6f6QAWjMyDIPlWyuYPDuPgjL/dW/2Bc/sVhPXDo3hzJPD/C6AVjs9/PBbMTtzHNx5frzftmE9wpvmBEREpFYmk4nUODupcXbO7xeJy22wM6ea9buq2LK7ih3ZVRSVe/zquD3gdhis3lHJ6h2VftvsVhORIRaiQq1EhVqIDLUSGWLm0tOj2FPooHNKIJUOD4E27wy2KoeHiT/k4nQbnNImiL9emtiUpy8iItKivftjHl9n+Kcg2pHtqHf957/M5u3l/vUL//B7TkRE9nv0wyyCY4KPuP7db2ZgC96/vImzIr8hmiX18MXCQhZW+n/mpW+vqHf9o/3MFWkImmUpR0MBtGaSW+zkg9n5rDzgQ8dk8s5G2KdTUgA3jYgjMcpeo/7rM3JY/vvaOgs2lDGwa1ijt1lERI6M1WKiQ2KgXwre4nIX2/ZUM29dKZt3V1Hp8OCq49qbw2WQU+zym5l8oAUbyoFcX6DNYgan2/uBUu3yMHdtCZEhViJCLESGWNiT76B9YiABNq2bJiIiInKs0YVAERERkaZhMgyjtqVZ6sXhcFFcXHnoHcWn2unhu2XFfLu0CIer9q63WUyMGRjFiF4RmM21p93alFXFP6fsxmYxccnpUZzXN7IRW31siYvzBhP1o0JaKo1RqY3HMFi8qYyYMCvVTg8Tf8ijqNyNCe8NFjarqdY0kEcjLMhMu4QAIkIsRId600XGRVg5qX0U0WFW8vPLGvT5RBqS3kvlUCIigrDbdb9gU2qJvw9b0mL3LaktUju9RnK4WtKYUVtqakntaYl/2y2pX1pSW1qaltQ3aou/ljhm1C+1O5rfhvpF2cSyi5x8ubCQfZdA4yOsXD8slp9XlbB8WwWdkgIYd3YcyTF2XG6D9TsrmL+hjJ7tg+mXFuo7TufkQK46K4beHYKJi7A1z8mIiEiDMZtMDOjiDQhk5FZTXOGdjmbgnZ1c7TQwmaBdQgCndQkhIcJGUbmbonI3xeWu3//7++MKV52z2Q5UWumpkS7Saw92q4nYcCsJkTaSYmykxNhJjrGTGG3TzDURERFpMLrQU7uW0C/QMvtGREREpKkogNbEUmLtdEkNZOvuKs7rG8n5/SKxW80kRFnp0T6YM7uFYf59PbOichf//nwvAMXlbr8AGsC5vSKavP0iItL4WscF8N9xqcxeXcoPvxX70jEaBmzfW832vdXYLCY6pwRy5eBoUmLsfmthGoZBeZXn92Cam6Iyl/e/5W72FDjYleeguNyNzWKiqo5ZbQ6Xwe4CJ7sLnKw44PqNCYiLsJL8e0AtOcZGapydpGg7Vkvts6ZFRESkZWkJwRkFZuRIafzKsUzjt+VrCa8R6HUSaSkUQGskLrfBwo1l/LSyhL9e2oqQQAu7ch1M/CGHHTkOLjwtkktOj6bK4eH2V3dQXu1hSPdwzjrgAmhsuI3kGBtZ+U525zuodnp017+IyAkiLsLGZYOiueT0KGavLuG75cXkl+xfA83pNli7s5KHJmURHWahe9tgTmkTRNuEAOIibIQGWQgNspBSx/H3ZXB2ugyKK9zkl7j4eXUJizZ5F+eOj7RRWe2mtNLjXw9867GtOGAdT4sZkqLtpMbaSY3b/9/IEItfcE9EREREjj0t4YKyLiaLiIhIU1MArYHll7qYs7qEuWtLKSr35s+auaKEiwdEERJoZleeA4CfV5Uwum8kATYTFdUeDAN25VbXON4lA6IIsJk5uU0QljrWQxMRkeOX1WLi7J4RnN0zgpwiB18uKmLF9grKq/YHtgpK3cxZU8qcNd61oCxmiA610jreTpeUIHp3CCb2D+l+9wW17DYTcRFm4iJsVDo9lFd52JBZxb9v6YjZVU1ZpZusfAdrMyr5ZnERIYFmPAZ+zw/g9sCuPO/sNjbuLw8LMh8QVAsgNc5OcrQNu24IERERERERERGRFkwBtAbgcHlYu7OSuWtLWbm9AuMP2bDySpwARIdZOa1LKHnFLi4bFO27eJiWHIjJBLHhNV+Ovn9I2ygiIieu+Eg7t5wbD0BmXjXrMirZnOX9b0X1/oCW2wO5JS5yS1ws31rBh3PyiQix0CrSRqsoG+HBZkICLUSHWumSEkhkqPfzp2f7EHq2DyE0PJigAAu5udWEBlnonBLEpqwqPIZ33bSbR8Rxavtgduc7yMx3kpFbza7cajLznVQ5/D8ESys9rN9VxfpdVb4ykwkSo2x+M9VSYwOICdNsNRERERERERE5dmiW9vFNAbSjkJXv4IuFhaxOr6h1DRkT8PcxrejaOthXduOwWGxWk98FwgcvS2qK5oqIyHEkJTaAlNgARvQCt8dg255q5q4p4bc/zE7bp7jcTXG5m01ZVUSFWigs886SvvuCBHp3tPLkJ1kUlrkxm6CgzIXNYsZiBpvFhM1mwuE0sFrA5Ya1OytI31uNzWrCbjVheGBXnpPkaBsdkwKxWkzYLCZ2FzjJyHWQU+TkwE9Jw8C3vtri31NGAgTaTCRE2Uj4PdC377+tomyEBpoVXBMRERERERERkSajAFo9lVe5qXQYvllihmFQVOZiyebyOusYQGaek66t95cpZZWIiDQ0i9lEWnIgacmBALg8HtbtrGRVeiXp2dUE2U3kFrvILXbhMbxBsX2CA7yfSzlFLoor3L5yl7tmEG6fhRtr/+zbnu1ge7Y3VfH5fSM4uXUQPTsE43YbLN9azsr0SgDaxNvJLXb5zZoDqHIa7MxxsDPHUePYZhPYrSYCbCYC7WaCA8yEBFgIDTITFmwhLNDMhadF+QXZsvIdVFZ7CAow0yrKplTIIiIiIiIiIiJSbwqg/c4wDKocBoXlLorK3GQXOVm9o4LcYhcFpS7Kqjy+dFN5JS525ztqnXUG3plnacmBnNE1lH6dlYJRRESaltVspke7EHq0C/Erd7kNckuc5BW7cHugoNRFYrQNwzCIi7Bit5koKnPhdNdx4MMwfWmx3+MDJ4/dPiqehEgrD07KwmyC4go3pZV1B+wAPIY3wFblNCiuqH3f6UuKCAm0EBJoJiTQTH6pi7wS78mMOzuWmDArlQ4PIQFmlm4pZ21GJWGBFsKDLUSEWIgKtRARbCXs96BcVIiVqFCLbn4RERERERERETkBHVcBtHnrStmZU43HA27DwOMBj++/+///zJPD6NF+f1rFDbsq+ffnezjIzfYA7Cl0sqfQWeu2kAAzJ6UGckrbYHp1CCYi5LjqWhEROQ5YLSYSo+wkRtlrbHv0ymTf/0dFh1Ja4WJnVglllW7KqjyUlLsorvBw+kmhmM3gcBk4XAZz15SweFM5FQ4PnoN8jhoG9OoQ/Htwy0Klw2B3Qe2fqX9kAmq/ZcWfww2OcjeF5TUjgO/Myqu1Tg6uQx43NNA74y0owEx0mJXEKBtJ0d4Uk51TgurRMhEREREREREROdYcV1GeVekVB02puE9aciA9DngcYDMdMnh2IJvFRKsoGymxdtrG2zmpdRCt4+yYtTaLiIgcB6wWE1FhNlwxNQNtf9R2WBzXD4vDMLwBtdJKD+VVbsqrPJRVuVmdXsn2vVWUVrq5bVQ8Ab/P5sovdRFoM9U5m/tA912SwMltgnG5Dcoq3bz1Qx5rMyqP+jzrq6zKQ9nv68rtzHGw4vdyswk6JgaQGG2ndZz339qdlRhAXISVwd3Cm6yNIiIiIiIiIiLSsI6rAFp9lzbxGP4X68KDLXRODiQk0ExkqJXoUAvRYVZyipy+VFDhQRYiQy1EhVoJDTT7rbEiIiJyojOZvOuTBdjMvvVCAfql1Z7KOCbMyqg+kUxbWAjAhPPjSYiyUeUwqHZ6SM+uZup877aNmdWc0jYEu9VEdJiZYaeGsXl3FTarifgIKz3aeWeV7/t4313gwOkySI61c2r7EEoq3JRUuMkpcrJ+VyXVTg/VTu/zVDkMPPWZ3lYLjwGbd1ezeXf1Af3gbUeA1bvuXIDNhMNp0K5VACu2lVPpMIgLtxITbiU23EZsuJXYcCuBdqWJFBERERERERFpSY6rANrlZ8Zw4WlRmE1gNpt8/7X84bHd6h/8ig238dDlSc3UahERkRPTRQOiGNErgqx8B63j7H5rjR24JtqBATmALilBvhSSsak2Ljk92m/7g+/vIjPfyfZsB5cPivHb9sHPeSzYWEZwgJlHr0wlJsxKtdNDSYWbdTsr+W17BYZhEBtuw4R3fbaSCjfZRQ5KKzy4DxFs2xfEq3YZfL24qN59EWAzERnivYEnLsJGUpSNhCgbMeFW4sKtBAfo5h0RERERERERkaZ0XAXQYsKOq9MRERE57gUFmOmYFFijfECXEE5p24acIicxfwigVTsN2sTbKalwExVqqVG3wuENvgUH1JzVVVblofz3f9bfNwfYzMRFmPEYlazcXgHAneeH+c2ey8xz8OCkTAAGdwvjjJPDKChxsrvAye4CB8u2VmAY3tnwRzKjrdppkF3kIrvIxYZdVTW2m0wQaDORFG2nQ2IAdquJtTsrsVlNxIRZ6JcWSqDdjM1iwmoxsTOnGkwQHmShY2IgVosJm9W7zVLfKfsiIiIiIiIiIicwRZxERESkxTGZTIQFWQgLqhkgiw6z8uQ1KXXWvX5oLCWVbmyWmgG06DALrePsVFR7aqRNrHTsn/V2sG0RId7UzyTvD/zd8Px2DKBzciB/vTSRwjIXBWVuNu6q5PvlxZRXe+ubgCPJGGkYUOkw2La3mm17q/22bQEWbao47GOagOAAE3arGavVhBlwegwMw8Bm8ZZbfg+4Wc1gNoPF7A3ExYbbvEE5i3dmf7XTg9ViItBuJtBuIthuITTITJDdjN1qxm4zEWA1YbeZsf8eyBMRERERERERackUQBMREZHjSs8OIXVuu3xQDJcPqn3bWaeE0aNdMFUOD4nRNr9tkSEWRveLxOHy0CnRf8acxzDonByIw22QFGPHajERF2EjLsJG5+RAduRUs21PNWYzPH9Ta0orPWTlV5O+18G89aXszndiMsHQ7mEYQH6JdybankLn0XbFQRlAebVBebW7jj3qKgeoPKrntpjBbjVhsZgwPGCzgM1m/j3IZiLIbibQZiYowExwgJlAuzfwZrOasJq99aIinFgtJkpKK8EAkxnMeIOvZpN31p4366UJwzAw8AYiDeP3WYKGgdvYX9YlJZCwIAtBv89c3L63mj0FDuw2M3071T2mREREREREROT4pACaiIiICBASaCEksOaMN4C4CBtjz4iudZvZZOKBy+peS/XuC1r5PQ4PthAeHMxJqcGM6htZa538Uhfz1pWSX+KisMxFSYWb0koPpZUuHK79+wVYISHKTnmVhw6tAkiJtfPLulLySly1HrelcHu8M+r85+N56tq9yVjMcN3QWIZ0D2fhxlJ++K2EmDBriw2gGYaB2wNuj4HJBHZrzVmXh6oP+K2v53QZlFW5cXv2H9vjAZfHwHNAmc1iosMfgskut6HZhSIiIiIiInLcUABNREREpIWJCbNy0WlRtW5zugzKq9yUVXnwGAat4wL8trdJsFNQ6qba4WZvkYtKh4dKh4dqh4dqp4HD5f1nMYPTbVBR5aHKWXdiycHdQokLt5GZ72DRpnK/bRefFslJqUHMWVPCgo3ldRzh2OH2wJeLCvlpVQkVv6fdNH4P8jldBtOXFrExsxIT0DrOTmpcwO+z3bzJORdsKAOgV4dghvaI8B13fUYl3ywtpLTCg8UMp3UOxWN4Zy96PLApq4rMPAd2q4m/j0kkLsI7A7Kg1MVbP+SyKasKwzBomxBAVKgVj8fA5YEqh4dNWd418wZ3C+NP58T5nnPiDzlsyqzCY4Db7Z1t5/2v9zn3BcjGnxvHwK5hvnobMyv5z7S9h+yr1Fg7/7zOP5Wq06UAmoiIiIiIiBw/FEATEREROYbYrCYiQ61Ehta+vWf7w58t5fYYVFR7qKjyUO3yBtqqfg+4df49taHHY3DNEA9rdlSwIdMb0DmlbTAdkwJJibUDJnJKnBSUuggPsuByGzjd3llOeaUuPB4wm7xr2B34vGWVbpy/Z4sMCTBjMkG3NkEAZOY5yMz3prKMDrUQHGBmYNcwYsMtvPJtbr3OzWqB5Gg7mLzrvhWWuSiuqHu2W2GZm8Iyb4PO6xtB+1beWVYOl4cvFhb69lu/q+ogz2r4BdDmbyhl3c79+6dnF9RZ0+HaH8ysqPawNmN/usyte6qB6lpqeYNxByoud5NTfOiZiC6Pfz2LuX4BMLfnSFbzExERERERETl2KIAmIiIicoKzmE2EBVkIC6o9hSWA2WwiPNjCwK5hfjOWAEKDLNw6Kr7OupXVHsqrPbjcBq2i/NeXW59RSVa+A4fLYPip4QTYzH7bZq8pwe02OLd3JGnJ3mCWYRh0ahPBc1N3UVXtoktqED3aBlPh8FBR7aGy2sOMZcU43QatY+384+r9M6WmzMtnxrJi6hP/6d42mJNSvcG8w4kXuf4QnzOb6heUslv997PUMyOjxQxt/jATMSLEQmy4FYvZ+9pZzSbMZu9rbfn9v2azichg/58DkaEWzuga+vt2//33/f++sfBHNqtmn4mIiIiIiMjxQwE0EREREWlUQQFmggJqjwZ1bR1E19ZBh7XNZDLROTWEN+7pQm5uaa11Lzm99jXrLh8UwyUDonF7DJxuA6vZG/ByugycLoPiChellR6CA8y0b7U/KBVoM3PbyDiKK9wYBgTYzATYTBiAx+OdAVZY5sJkMjGgi/8swKE9wumSEojJZMJm8dY1m72BNbMJTGbvf2PCrH4z9OIibPx3XCoWiwmLyRu4qi2YVZubR9Qd0DyYpGg7t5x7ZHWVvlFERERERESOJwqgiYiIiMgJxWY1YcNEYC3bEv4wQ+7AOgNOCqt126G0SwigXULAoXf8A6vFRHxk7e0RORSXy8XkyZP59NNPyczMJC4ujksuuYRbbrkFm03jSkRERERE5FDqmRhGREREREREjhVPPPEEzzzzDJGRkVx33XUkJCTw4osv8pe//KW5myYiIiIiInJM0Aw0ERERERGR48hvv/3GlClTGDFiBC+88AImkwnDMLj//vv58ssvmT17NkOGDGnuZoqIiIiIiLRomoEmIiIiIiJyHPnwww8BuPPOOzGZvGvTmUwm7r33XkwmE5999llzNk9EREREROSYoACaiIiIiIjIcWTZsmVERUWRlpbmV56QkEDbtm1ZunRpM7VMRERERETk2KEAmoiIiIiIyHHC4XCwd+9eWrduXev25ORkSkpKKCgoaOKWiYiIiIiIHFtMhmEYR1rZ4zFwudwN2R6Ro2a3e5f2czhczdwSkdppjEpLpzEqxwKNUzkUq9WC2Wxq7mY0uZycHAYNGsQZZ5zB22+/XWP7n//8Z2bMmMHMmTNp06ZNM7Swaei9QURERESk+ez7zX6sO6qzMJtNx01HyPFHY1NaOo1Raek0RuVYoHEq4s/l8gaO7HZ7rdv3lVdXVzdZm5qD3htERERERORoKYWjiIiIiIjIcSIwMBAAp9NZ63aHwwFAUFBQk7VJRERERETkWKQAmoiIiIiIyHEiNDQUs9lMWVlZrdtLS0sBCAsLa8pmiYiIiIiIHHMUQBMRERERETlO2O12kpKSyMzMrHV7ZmYmUVFRREZGNm3DREREREREjjEKoImIiIiIiBxHevfuTW5uLunp6X7l2dnZ7Ny5k1NPPbV5GiYiIiIiInIMUQBNRERERETkOHLRRRcB8Pzzz+PxeAAwDIPnnnsOwzC4/PLLm7F1IiIiIiIixwaTYRhGczdCREREREREGs4999zDd999R/fu3enfvz8rVqxg2bJljBgxghdeeAGTydTcTRQREREREWnRFEATERERERE5zjidTt58802++OILsrOzSUpK4oILLuDmm2/Gbrc3d/NERERERERaPAXQRERERERERERERERERA6gNdBEREREREREREREREREDqAAmoiIiIiIiIiIiIiIiMgBFEATEREREREREREREREROYACaCIiIiIiIiIiIiIiIiIHUABNRERERERERERERERE5AAKoImIiIiIiIiIiIiIiIgcQAE0ERERERERERERERERkQMogCYiIiIiIiIiIiIiIiJyAAXQRERERERERERERERERA6gAJqIiIiIiIiIiIiIiIjIARRAk2OCy+XivffeY9SoUXTv3p1hw4bxyiuv4HQ661W/urqal19+mREjRnDKKacwfPhwnn76aUpKShq55XIiOdpxunHjRm677Tb69u3LKaecwujRo5kyZUojt1pOVNnZ2fTu3Zv33nuv3nWKiop44oknGDp0KD169OCSSy7hu+++a7xGygntSMbo2rVruf322+nfvz/dunVj+PDh/Pe//6WioqLxGioiLcrRfh8TeP755+ncuXOt/+655x6/fb/88ksuuugiTj31VM4880yeeeYZysvLaz3unDlzuPzyy+nZsycDBgzgwQcfJD8/vylOqcU51GdcY/XrihUruOGGG+jbty/9+vXjrrvuYteuXQ11Wi3awfr8s88+q3PMX3bZZTX2V5/XLjc3l0cffZTBgwfTrVs3Bg4cyH333Vfr+WqMN4z69rnGeMMoLCzkqaeeYvjw4XTv3p1Ro0bx1ltv4XK5auyrMd4w6tvnGuMN71//+hedO3dm8eLFNbadaOPb2twNEKmPJ554gilTptC7d2+GDh3Kb7/9xosvvsimTZt48cUXD1rX6XRy0003sWTJEvr168ewYcNYs2YN77//PitXrmTy5MnY7fYmOhM5nh3NON24cSNXXnkl1dXVjBw5kpiYGH766SceffRRMjIy+Otf/9pEZyEngvLyciZMmEBZWVm961RUVDBu3DjWr1/PyJEjSUxMZObMmdxzzz0UFBRwzTXXNGKL5URzJGN00aJF3HTTTQCMGDGC+Ph4li5dysSJE1m0aBEffvghAQEBjdVkEWkhjub7mHht2rQJu93OLbfcUmNbp06dfP//xhtv8Nxzz9G5c2euueYaNm/ezHvvvceqVauYNGmS32+s6dOn85e//IXU1FSuvPJK9uzZwxdffMHSpUv5/PPPCQ8Pb5JzawkO9RnXWP26dOlSbrzxRiIiIrj44ospLS1l+vTpLF68mM8//5yUlJRGP/fmcqg+37RpEwA333xzje8KrVq18nusPq9dbm4uY8eOZc+ePQwcOJBRo0aRnp7O9OnTmTdvHlOmTKFt27aAxnhDOZw+1xg/emVlZVx11VVs376dIUOGcPbZZ/Pbb7/xn//8h2XLlvHaa69hMpkAjfGGcjh9rjHesFavXs37779f67YTcnwbIi3c8uXLjbS0NGPChAmGx+MxDMMwPB6P8be//c1IS0szfv7554PWf+utt4y0tDTjX//6l1/5448/bqSlpRlffPFFYzVdTiBHO07Hjx9vpKWlGbNmzfKVlZWVGeecc47RpUsXIyMjo1HbLyeOzMxM4+KLLzbS0tKMtLQ04913361Xvddee81IS0szJk+e7CsrLS01zjvvPKNHjx5GXl5eI7VYTjRHOkbPPfdco2vXrsaqVat8ZR6Px3j44YeNtLQ045133mmkFotIS3G038fEa8iQIcZFF1100H2ysrKMrl27GpdffrnhcDh85f/73/+MtLQ044MPPvCVlZWVGf369TOGDRtmlJaW+so/++wzIy0tzXj22Wcb/iRaqEN9xjVWv3o8HmPEiBFGnz59jD179vjKFyxYYHTu3NmYMGFCI5xty1Cf7xXXXHON0a9fv0MeS31et0ceeaTW71tfffWVkZaWZowfP94wDI3xhlTfPjcMjfGG8H//939GWlqa8f777/uV33vvvUZaWpoxe/ZswzA0xhtSffvcMDTGG1J1dbVx/vnn+z43Fy1a5Nt2oo5vpXCUFu/DDz8E4M477/TdWWAymbj33nsxmUx89tlnh6yfnJxcI93IuHHjuPjii3U3ujSIox2na9asISIiguHDh/vKQkJCOP/88/F4PKxZs6bxGi8njPfee4/Ro0ezceNGTjvttMOq+9FHHxEbG8sVV1zhKwsNDeXWW2+lsrKSb775pqGbKyegIx2jW7duZfv27QwbNozu3bv7yk0mE3fccQcAv/zyS4O3V0RalqP9Pibeu72zsrLo3LnzQfebMmUKLpeL8ePHY7PZfOW33noroaGhfn397bffUlRUxA033EBoaKivfMyYMbRr145p06bhdrsb/mRamPp8xjVWvy5YsID09HTGjBnjdyf+gAEDGDhwID/++COFhYUNfcrNrr7fKzZv3kxaWtohj6c+r9uPP/5IdHQ0119/vV/5BRdcQOvWrfn111/xeDwa4w2ovn0OGuMNISsri8TERK666iq/8lGjRgHe1HOg9/GGVN8+B43xhvT666+Tnp7O6aefXmPbiTq+FUCTFm/ZsmVERUXVeCNMSEigbdu2LF26tM66W7duJSsri6FDh/r9YQOkpKTw7LPPMnLkyEZpt5xYjmacAkRGRlJWVkZxcbFfeXZ2NgBRUVEN22A5IU2aNInk5GQmT57MhRdeWO96GRkZvnUjLBaL37b+/fsDHHKMi9THkY7R0NBQ7rvvPi699NIa2/alkNA6aCLHv6P9PibetOLAIQNo+/qyb9++fuUBAQGceuqpbNy4kdLSUr99931nOFC/fv0oKipiy5YtR932lq4+n3GN1a8H27d///643W6WL19+hGfWctWnz/fu3UtRUdEhxzyoz+vidrsZP348d955J2ZzzcuMdrsdp9OJ0+nUGG8gh9PnGuMN4//+7/+YM2cOVqv/akjbt28HIDY2FtD7eEOqb59rjDecjRs38uabbzJ+/Hg6duxYY/uJOr4VQJMWzeFwsHfvXlq3bl3r9uTkZEpKSigoKKh1++bNmwFvrv65c+dyxRVX0KNHD8444wyeffZZXUyTBnG04xTgiiuuwO1285e//IWdO3dSVlbG1KlT+eKLLzj55JPp169fYzVfTiCPP/44X375Jb169TqsehkZGQC1jvG4uDgCAgLYsWNHQzRRTnBHOkZbtWrFzTffzODBg2tsmzVrFkCtPwBE5PjREN/HZP8aIoWFhdx444307duXvn37ctddd/kuWIH3u0FsbKzfHcX7JCcnA5Ceng7gW/w9NTW1xr771rPYt+/xrD6fcY3Vrwfbd99xj8fvcvXp831j3ul0cscddzBgwAB69uzJn/70J1avXu23r/q8dhaLheuvv56rr766xrZt27axfft2WrduTUBAgMZ4AzmcPtcYb3iGYZCfn8+HH37ISy+9RFJSEhdccAGg9/HGcrA+1xhvGG63mwcffJA2bdowfvz4Wvc5Uce3AmjSohUVFQEQFhZW6/Z95fui23+Uk5MDwOzZs7nlllsIDw/niiuuIC4ujnfffZebbroJp9PZ8A2XE8rRjlOAa6+9lscee4xFixZxzjnn0Lt3bx566CH69+/PO++8U2PWj8iRGDRo0BGNpX1j/MAFXg8UGhp60PEtUl9HOkbrkpeXx4svvgjA5Zdf3mDHFZGWpyG+j8n+i1Bvv/02oaGhjB07lu7du/PDDz9w2WWXsWHDBsDb34fq67KyMsAbjLPb7QQGBtbYd98FmH37Hs/q8xnXWP16sO9y+/Y9Hv826tPn+8b8J598QlVVFZdccgkDBw5k4cKFXHXVVcybN8+3r/r88Hg8Hp588kk8Hg+XXXYZoDHe2Grrc43xhvfCCy9w+umn88QTTxAWFsbbb79NREQEoDHeWA7W5xrjDePtt99mw4YNPPXUU74sLn90oo5v66F3EWk+LpcLoM4/3H3l1dXVtW6vrKwEvAG0J5980vcFwu12c++99/L999/z0Ucf1cgZLXI4jnacAqxcuZI333wTm83GeeedR1hYGAsWLGDBggW88MILPProo761PESaWn3G+L73W5GWorS0lFtuuYW8vDyuvfZav7XRROT40xDfx8Q7qyE5OZlnnnnGL43O119/zV//+lcefPBBvvjiC1wuV737+nD2PdE1Vr/uu2m0tv33lTkcjqNo+bHL4/GQnJzMn//8Z99sBoAlS5Zwww038MADD/DTTz8REBCgPj8MhmHw6KOPsnDhQrp16+a75qIx3njq6nON8YaXnJzMuHHj2LVrFz/99BNXX301b731FieffLLGeCM5WJ9rjB+99PR0Xn75Za666ip69uxZ534n6vhWAE1atH1R6rpmie374wkKCqp1+75c0F27dvUFz8D7w/Bvf/sb33//PTNmzFAATY7K0Y7TsrIyxo8fj8fjYdq0abRr185X77777uOjjz6iY8eOtaZnEGkKAQEBQN1fWBwOB8HBwU3ZJJGDKigo4KabbmLdunUMGTKE+++/v7mbJCKN7Gi/j4nXY489Vmv5BRdcwKeffsrSpUvZvn07gYGB9e7rw9n3RNdY/Xqwv48T/TW49dZbufXWW2uU9+vXj9GjR/Pll1+yZMkSBg0apD6vJ5fLxSOPPMK0adNITU3l1Vdf9V0A1RhvHAfrc43xhjd27Fjf/8+ZM4dbb72Vv//973zzzTca443kYH2uMX50DMPgoYceIiYmhnvvvfeg+56o41spHKVFCw0NxWw215nSY9/0zbqmj+6b5tm1a9ca25KTkwkPD/flWRU5Ukc7Tn/66SeKioq49tprfcEz8N5lse8ixhdffNHArRapv32pEeoa42VlZbXmwBZpDhkZGVx++eWsW7eOoUOH8uKLL9ZYeFpEjj9H+31MDm3fb6rMzEzCw8PrTKXzx74ODw+nurq61htx9r1eel28Gqtf96VEqu3Yeg3qduCYB/V5fVRWVnL77bczbdo02rZty6RJk0hISPBt1xhveIfq84PRGD96Z511FgMGDGDLli1kZGRojDeBP/b5wWiMH9qHH37I8uXL+cc//kFISMhB9z1Rx7cCaNKi2e12kpKSfG90f5SZmUlUVBSRkZG1bm/bti1Q952oLper1lysIofjaMfp3r17AejQoUONbTExMURFRbFnz54Ga6/I4dr3XlrbGM/JyaG6utov+CvSXDZs2MAVV1xBRkYGF198MS+99FKdaSNE5PhytN/HxPvbaPXq1axatarW7VVVVYB3Znrbtm3Jz8/3lR0oKysLs9lMmzZtgIN/j9hXpu8RXo3Vr3oN6rZu3TqWLl1a67Z9qaX2ZWNQnx9ccXEx119/PXPnzqVr16589NFHJCUl+e2jMd6w6tPnGuNHz+VysWDBAubPn1/r9n19XlhYqDHeQA6nzzXGj84PP/wAwC233ELnzp19/yZNmgTAddddR+fOncnMzDxhx7cCaNLi9e7dm9zcXNLT0/3Ks7Oz2blzJ6eeemqddbt3747dbmfp0qW43W6/bdu2baOiooLOnTs3RrPlBHM04zQmJgagRl3wfiEuKioiNja2QdsrcjiSkpJISkpi+fLleDwev21LliwBOGiebJGmsHPnTsaNG0d+fj433ngjzzzzjGaeiZxgjub7mHjXybnqqqu4+eaba/x2MgyDFStWYLVaOemkk+jduzcej4dly5b57VddXc3KlSvp2LGjb3Z67969AWq9uLV48WLCwsJqvZHsRNRY/XqwfZcsWYLZbD5h1wq94447uO666ygoKKixbfny5QB069YNUJ8fTHV1NePHj2fVqlX069ePDz74wPc790Aa4w2nvn2uMd4wbr31Vu67774an48AGzduxGQykZKSojHegOrb5xrjR+fiiy/mzjvvrPGvR48eftvDw8NP2PGtAJq0eBdddBEAzz//vO/CrWEYPPfccxiGweWXX15n3bCwMEaOHMnu3bt58803feVOp5P//Oc/AFx66aWN13g5YRzNOB0yZAhBQUFMnjzZL6Wo2+3m2WefxTAMzjvvvEZtv8ihXHDBBezdu5fJkyf7ysrKynj99dcJDAzkwgsvbMbWyYnO4/Fw7733UlBQwHXXXcf999+PyWRq7maJSBM7mu9j4p3FN2TIEIqLi/1+OwG88847bN68mfPPP5/w8HBGjx6NxWLh5Zdf9kvN8/rrr1NWVubX18OHDyckJIS33nqLoqIiX/nUqVPZsWMHY8eO9a1dfaJrrH7t168fSUlJTJkyxe/u7oULFzJ//nzOPvtsoqOjG/8EW6Bzzz0Xj8fD888/j2EYvvIZM2YwZ84c+vbtS1paGqA+P5jnnnuOFStW0LNnTyZOnFhneneN8YZT3z7XGD96VquVs88+m4KCAt5++22/bR999BFr167lrLPOIjY2VmO8gRxOn2uMH51LLrmECRMm1Ph3YABtwoQJjfr9r6X3tck4cGSJtFD33HMP3333Hd27d6d///6sWLGCZcuWMWLECF544QXfRbKXXnoJgAkTJvjq5ufnc+WVV7Jz505OP/10unTpwsKFC9mwYQOjRo3i+eefb5ZzkuPP0YzTzz//nIcffpigoCBGjBhBeHg4ixYtYuPGjfTr14+3335bacikQU2bNo0HHniABx54gBtuuMFvW21jtKysjEsvvZQdO3ZwzjnnkJqaysyZM9m1axePPPII11xzTVM2X04AhzNGZ86cyYQJE7Db7YwbN67WmWexsbFceeWVjd5uEWle9f0+JrXLzMzkiiuuIDc31/fbae3atSxZsoQOHTrw4YcfEhUVBcB///tfJk6cSIcOHRgyZAhbt25lzpw59OrVi/fff9/vu+vHH3/MP/7xDxITExk5ciTZ2dnMmDGD1q1bM2XKlBMutebBPuMaq1/nzJnD7bffTlhYGKNHj6aiooJvvvmG0NBQPv30U1JTU5vo7JtHXX1eUlLCFVdcwbZt2+jRowe9e/cmPT2dOXPmEBsby8cff+zXN+rzmnJzcxkyZAhOp5NLL72UxMTEWve75ZZbCAgI0BhvAIfT59XV1RrjDSA7O5vLLruMvXv3csYZZ5CWlsaGDRtYuHAhKSkpfPTRR7615zTGG0Z9+1zv443jn//8J5MmTWLSpEn079/fV34ijm8F0OSY4HQ6efPNN/niiy/Izs4mKSmJCy64gJtvvtnvD3NfOsZNmzb51S8sLOSVV15h1qxZFBQUkJyczJgxY7jxxhuxWCxNei5y/Dracbpo0SImTpzIqlWrqKqqIjU1ldGjR3PTTTcpeCYN7mAXbuoao3l5eTz33HPMnj2byspK2rdvz5/+9CfNkJRGcThjdN+X+4Pp0qULX331VaO0VURajvp+H5O6ZWdn88ILL/DLL79QVFREfHw8I0aM8F3U2McwDD766CM++ugjMjIyiIuL4+yzz+bOO++sdaH37777jrfeeoutW7cSERHBGWecwT333EN8fHxTnl6LcLDPuMbs1wULFvDyyy+zfv16goOD6dOnD/fee69v7ZHj2cH6vKSkhJdffplZs2aRm5tLZGQkZ511FnfddVet/ag+9/fjjz9yxx13HHK/pUuXEh4erjHeAA63zzXGG0Zubi4vvvgis2fPprCwkPj4eM4++2xuu+02380loPfxhlTfPtcYb3h1BdBOxPGtAJqIiIiIiIiIiIiIiIjIAZRoXEREREREREREREREROQACqCJiIiIiIiIiIiIiIiIHEABNBEREREREREREREREZEDKIAmIiIiIiIiIiIiIiIicgAF0EREREREREREREREREQOoACaiIiIiIiIiIiIiIiIyAEUQBMRERERERERERERERE5gAJoIiIiIiIiIiIiIiIiIgdQAE1ERERERERERERERETkAAqgiYiIiIiIiIiIiIiIiBxAATQRERERERERERERERGRAyiAJiIiIiIiIiIiUk+ZmZl07ty5zn9dunShR48eDBs2jD//+c+sWbOmWdu7ePFiOnfuTP/+/Rv0uC6Xi0svvZSrrrrqqI5TV/uGDh1K586dmT179lEdvy7XXnstnTt3ZvLkyY1y/APtGxubN29u9Oc6UGZmJqeccgqvv/56kz6viMjxwtrcDRARERERERERETkWdevWDbvd7ldmGAaFhYVkZGSQmZnJDz/8wP/93/8xatSoZmpl45g4cSJr167l008/be6mSB1SUlK45pprePnllxk6dChpaWnN3SQRkWOKAmgiIiIiIiIiIiJH4IUXXiAlJaXWbbt27eKee+5hzZo1PPTQQwwcOJCIiIgmbmHj2L17N6+//jpnn302PXr0aO7mtHjfffcdAKmpqU3+3OPHj+fTTz/lySef5IMPPmjy5xcROZYphaOIiIiIiIiIiEgDS01N5fnnn8dqtVJRUcG3337b3E1qMC+99BJVVVXccsstzd2UY0KHDh3o0KFDjdmKTSEyMpIrrriCJUuWMHfu3CZ/fhGRY5kCaCIiIiIiIiIiIo0gNTWVdu3aAbB9+/Zmbk3D2L17N19//TVdunShe/fuzd0cqYcxY8YA8NprrzVzS0REji1K4SgiIiIiIiIiItJITCYT4F0b7Y927drFpEmTWLRoEVlZWTgcDiIjI+nRowfXXnstp512mt/+999/P1988QUvvPACbdu25ZVXXmHp0qWUl5fTunVrRo8ezbhx4+o90+mpp57igw8+ICwsjHfeeadeAbFPP/0Ul8vF+eefX+t2t9vN9OnT+fbbb1m/fj1FRUXY7XZSU1MZNmwYN954I2FhYfVq3+EyDINvvvmGqVOnsmXLFkpLS0lOTmb48OHceuutdT7vsmXLeOONN1i5ciUul4t27doxduxYrrjiCt/rd6DZs2czbdo0Vq9eTUFBAVarlVatWnHmmWdy0003ERcX57d/586dAfjmm29865Ad6WuZn5/Pm2++yaJFi8jIyMBkMpGamsqQIUO44YYbiIyMrNHedu3acfLJJ7NixQo2bdrka4+IiBycAmgiIiIiIiIiIiKNYPv27WzZsgWAU045xW/br7/+yh133EFVVRVhYWG0bt2a6upqdu3axY8//shPP/3Ef//731oDVYsWLeK+++4DvMGRoKAgtm7dyvPPP8+qVavqNdPof//7Hx988AEhISG89dZb9Z5NNnPmTAAGDRpUY5vT6eS2225j3rx5ALRu3ZqEhAT27t3Lxo0b2bhxIz/++CNTp05t8HSGDoeDP//5z/z000+Ad/ZffHw827Zt46233uKXX37h448/JjQ01K/e9OnT+ec//0lAQADt2rUjOzubdevWsW7dOrZt28bDDz/st/9DDz3E1KlTAUhKSiItLY28vDy2b9/O9u3bmTFjBl999RVRUVH1avfhvJb5+fmMGTOG3bt3ExISQps2bXC5XGzdupWNGzfy3Xff8dlnn9W61t7AgQNZt24d33//vQJoIiL1pBSOIiIiIiIiIiIiDWzDhg3cddddGIZBSkoKI0eO9G1zOBw88MADVFVVccMNN7BgwQK+/PJLZsyYwZw5czj99NMxDINXX3211mN//PHHDBw4kDlz5vDNN98we/ZsHnroIQB+/vlnVq9efdC2vfPOO7z22msEBwczceJETj311HqdU25uLtu2bSM4OLjWIMwnn3zCvHnziI2N5auvvmLWrFl8/vnnzJ8/n//9739YLBY2bdrEjz/+WK/nOxxvvPEGP/30EzExMXz44Yf8+OOPfPXVV/zwww+kpaWxefNmnn322Rr1VqxYwXnnnccvv/zCF198wa+//sq4ceMAmDx5Mjk5Ob59f/75Z6ZOnUpwcDDvv/8+s2fP5vPPP2fu3Ll88MEHBAcHk52d7Quw1cfhvJZvvfUWu3fv5txzz+XXX3/lyy+/ZPr06Xz//fe0adOGnTt3Mnny5Fqfp1evXgAsXry43m0TETnRKYAmIiIiIiIiIiJyBO6++26uvPJKv3+XXnopgwYN4qKLLmLLli20bt2aN998k4CAAF+9tWvXUlFRQUJCAn/729/8ZmPFxsZyxx13AJCeno7H46nxvJGRkbzwwgvExsb6yq677jpat24NwMqVK+ts85QpU/jXv/7lC5717t273ue7dOlSANq3b19rasNFixZhsViYMGECXbp08ds2cuRI+vXrB8C2bdvq/Zz14XA4ePfddwF45pln6NOnj29bcnIyTz/9NAAzZszA4XD41W3bti3PPvss4eHhAJjNZu655x7Cw8MxDINVq1b59l2wYAE2m41rrrmmRnrNfv36MWrUqMM+v8N5LTdv3gzA6NGjCQ4O9pWnpqZy3333MXTo0DpnvnXs2BGA1atXU11dXe/2iYicyJTCUURERERERERE5AisXbu21nKbzcaIESMYPHgwo0ePrpGusFevXixfvpyqqiosFkuN+kFBQQB4PB6qq6t9j/fp168fgYGBNeq1a9eOjIwMysrKam3X9OnT+cc//oHFYuH111/3CzTVR2ZmJuAN2NTmlVdewel01hpcc7vdhISEAFBZWXlYz3so+9YOi4uL48wzz6yx/ZRTTuGLL76gdevWNV6LIUOGYLX6XyLdt2bbunXrKCoq8pU//PDDPPDAA7jd7lrbse91OpzzO5zXcl9Q7b///S82m40BAwb4zuecc87hnHPOqfN5UlJSsFgsOJ1OcnJy6nwNRURkPwXQREREREREREREjsBPP/1ESkoK4J0FNX/+fJ5++mkyMjIoLy9n6NChB13rKzAwkHXr1rF+/XoyMjLIyMhg8+bNpKen+/apbQZaQkJCncerq05ZWRl///vffduKi4vrf6K/KywsBCAsLKzOfWw2G8XFxSxbtozt27eTmZnJ9u3bWb9+vS8YZBjGYT/3wWRkZADQqVOnWoN3AF27dq21PD4+vtbyfcG+P87WslgsVFdXs2jRIrZt20ZmZiY7duxg3bp1vv45nPM7nNdy3LhxfPfdd6Snp3PLLbcQFBREnz59GDRoEMOGDfONxdqYTCZCQkIoKSmhoKBAATQRkXpQAE1EREREREREROQo2e12hgwZQteuXbn00kv59ddfGT9+PJMmTap1htHSpUt55plnWLduna/MZDLRpk0bRo8ezddff13nc9lstoO2pbYAjsvl8rVx9uzZPPHEEwwYMOCgwbA/KikpAaj1fMAbbHruueeYMmWK3yyskJAQevbsSV5eHhs3bqz389XXvlliB6Y1rK+DBTj/yOPx8MYbb/Dee+/5zUwLCAige/fueDweli9ffljPfzivZWpqKl999RWvvvoqM2fOpLCwkHnz5jFv3jyefvppBg8ezJNPPllnUC4oKIiSkhLf6ygiIgenNdBEREREREREREQaSEJCAv/+978xmUysWrWKZ555psY+mzdvZty4caxbt44+ffrw5JNP8umnn7Js2TJ++OEHbr/99gZvl8Vi4aWXXuKFF16gTZs25Obm8u9///uwjrFvHbe6UkQ++OCDvPfee5hMJsaPH8/rr7/OrFmzWLZsGW+//bZvHa6GdiSpE4/ECy+8wP/+9z/Kysq45pprePHFF5kxYwa//fYbkydPPuyUmEeiVatWPPHEEyxYsIBPP/2Ue+65h969e2MymZg7dy633nprnTPgSktLAfzW4xMRkbppBpqIiIiIiIiIiEgDOv3007nsssuYMmUKn3zyCeeeey4DBgzwbf/ggw9wOBwMGDCAt99+u8Y6aHv37m3wNoWFhXHWWWcB8NhjjzFu3Dg+++wzRo8eTb9+/ep1jOjoaGB/KscDZWdn8+233wLwxhtv1HrMxjgvgLZt2wKwdevWOve57bbbMJlM3HvvvUcUyHM6nUyaNAmAp556iosvvrjGPo11fvvs2bOH9PR0BgwYgNlspkePHvTo0YNbb72VhQsXcsMNN7B+/Xq2bt1Kp06d/Oo6HA4qKioAiImJadR2iogcLzQDTUREREREREREpIH99a9/JS4uDoDHH38ch8Ph25aVlQVA586dawTPAKZOner7f7fb3eBtGzhwIOeddx6GYfDII4/UWOerLu3btwcgJyenxrasrCzfzKfa1hvbtm0bK1euBLzpJBtS7969CQoKIjs7m4ULF9bYvn37dn7++Wfmzp3rCwIeroKCAl8A6qSTTqqxPT8/nzlz5gANf37gDYCdf/753HjjjaxatarG9j59+vjSQdY2ZrKzswGwWq1a/0xEpJ4UQBMREREREREREWlgYWFh/PWvfwUgPT2diRMn+rbtmzH13XffsXPnTl95cXExTz/9NNOnT/eV1Te4dbgeeOABwsLC2LFjB6+88kq96nTv3h2ATZs21UiX2KZNG8xm76XGN954wy+Is3jxYm6++WZfYKmhzyksLIyrr74agPvvv5+1a9f6tmVmZvKXv/wFgAsuuOCIA2gxMTGEh4cD8M477/gFRDds2MCf/vQniouLgcZ5zex2O+eccw4ADz/8MOnp6b5tDoeD5557DqfTSXJycq0z7PYFL08++eTDWvdNROREphSOIiIiIiIiIiIijeDCCy9k6tSpLFmyhDfeeIPRo0fTunVrbrzxRr755htycnIYNWqUb2bXjh07cDgcdOnShb1791JUVEROTo5vJltDiouL45577uGJJ57g7bffZtSoUXTp0uWgdVJSUmjbti07duxgzZo1fmkaY2JiuPrqq/nggw948803+fzzz0lMTCQnJ4ecnBysVit9+/Zl6dKltc5gO1p33303W7ZsYe7cuVx66aW0b98eq9VKeno6TqeTk08+mQceeOCIj2+1Wrnjjjt45pln+Oqrr5gzZw4pKSkUFxeTmZkJQP/+/Vm8eHGjnB/A3//+d5YvX86WLVs477zzSE1NJSQkhF27dlFSUkJAQABPP/00VmvNS74rVqwA4IwzzmiUtomIHI80A01ERERERERERKSRPProo9hsNqqrq3n88ccBSE1N5csvv+Tiiy8mMTGR9PR09uzZQ5cuXXjggQf47LPPGDhwIACzZ89utLZdeeWVdO/eHZfLxcMPP1yvdJGjR48GYP78+TW2PfTQQ/zrX//yHXPTpk3YbDZGjx7Np59+yhNPPAHA0qVLKSsra9BzsdvtvPbaazz11FP07NmT7Oxs0tPTadOmDXfffTcff/yxbwbZkbrhhht4/fXX6du3LxaLhc2bN+NwOBg+fDjvv/8+r732GjabjS1btrBr164GOrP9IiMj+eSTTxg3bhzt2rVj7969bNmyhfDwcC677DK++eYbTjvttFrr7nu9zjvvvAZvl4jI8cpk7EtOLCIiIiIiIiIiInIQeXl5DB06lOjoaH7++Wdf2kZpuX777TeuvPJKzjzzTL9UoiIicnD6hBMREREREREREZF6iY2N5dJLL2XPnj0sWLCguZsj9TBt2jQAxo8f38wtERE5tiiAJiIiIiIiIiIiIvV28803ExgYyHvvvdfcTZFDyMvL49tvv6Vfv3706dOnuZsjInJMUQBNRERERERERERE6i0pKYkJEyYwb948lixZ0tzNkYN49dVXcbvdvvX3RESk/rQGmoiIiIiIiIiIiBwWt9vNFVdcgcVi4ZNPPmnu5kgtdu3axciRI7nrrru45ZZbmrs5IiLHHAXQRERERERERERERERERA6gFI4iIiIiIiIiIiIiIiIiB1AATUREREREREREREREROQACqCJiIiIiIiIiIiIiIiIHEABNBEREREREREREREREZEDKIAmIiIiIiIiIiIiIiIicgAF0EREREREREREREREREQOoACaiIiIiIiIiIiIiIiIyAEUQBMRERERERERERERERE5gAJoIiIiIiIiIiIiIiIiIgdQAE1ERERERERERERERETkAAqgiYiIiIiIiIiIiIiIiBxAATQRERERERERERERERGRAyiAJiIiIiIiIiIiIiIiInKA/wePPZ65FL6t9QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x432 with 6 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 440,
       "width": 872
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = az.plot_trace(azid0,  compact=True, combined=False, kind=\"rank_bars\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>sd</th>\n",
       "      <th>hdi_3%</th>\n",
       "      <th>hdi_97%</th>\n",
       "      <th>mcse_mean</th>\n",
       "      <th>mcse_sd</th>\n",
       "      <th>ess_mean</th>\n",
       "      <th>ess_sd</th>\n",
       "      <th>ess_bulk</th>\n",
       "      <th>ess_tail</th>\n",
       "      <th>r_hat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>intercept</th>\n",
       "      <td>1.906</td>\n",
       "      <td>0.706</td>\n",
       "      <td>0.597</td>\n",
       "      <td>3.305</td>\n",
       "      <td>0.020</td>\n",
       "      <td>0.014</td>\n",
       "      <td>1284.0</td>\n",
       "      <td>1284.0</td>\n",
       "      <td>1294.0</td>\n",
       "      <td>1725.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beta[0]</th>\n",
       "      <td>-0.480</td>\n",
       "      <td>0.209</td>\n",
       "      <td>-0.865</td>\n",
       "      <td>-0.075</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.003</td>\n",
       "      <td>2140.0</td>\n",
       "      <td>2028.0</td>\n",
       "      <td>2145.0</td>\n",
       "      <td>1938.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beta[1]</th>\n",
       "      <td>2.429</td>\n",
       "      <td>0.219</td>\n",
       "      <td>2.015</td>\n",
       "      <td>2.829</td>\n",
       "      <td>0.006</td>\n",
       "      <td>0.004</td>\n",
       "      <td>1325.0</td>\n",
       "      <td>1325.0</td>\n",
       "      <td>1331.0</td>\n",
       "      <td>1995.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sigma</th>\n",
       "      <td>0.731</td>\n",
       "      <td>0.124</td>\n",
       "      <td>0.503</td>\n",
       "      <td>0.944</td>\n",
       "      <td>0.003</td>\n",
       "      <td>0.002</td>\n",
       "      <td>2038.0</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>1950.0</td>\n",
       "      <td>1231.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_mean  \\\n",
       "intercept  1.906  0.706   0.597    3.305      0.020    0.014    1284.0   \n",
       "beta[0]   -0.480  0.209  -0.865   -0.075      0.005    0.003    2140.0   \n",
       "beta[1]    2.429  0.219   2.015    2.829      0.006    0.004    1325.0   \n",
       "sigma      0.731  0.124   0.503    0.944      0.003    0.002    2038.0   \n",
       "\n",
       "           ess_sd  ess_bulk  ess_tail  r_hat  \n",
       "intercept  1284.0    1294.0    1725.0    1.0  \n",
       "beta[0]    2028.0    2145.0    1938.0    1.0  \n",
       "beta[1]    1325.0    1331.0    1995.0    1.0  \n",
       "sigma      2022.0    1950.0    1231.0    1.0  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pm.summary(azid0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x316.8 with 4 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 306,
       "width": 852
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "extra = 1\n",
    "m, n = 2, ((len(rvs)+extra) // 2) + ((len(rvs)+extra) % 2)\n",
    "f, axs = plt.subplots(n, m, figsize=(m*6, 2.2*n))\n",
    "_ = az.plot_posterior(azid0, group='posterior', var_names=rvs, ax=axs, ref_val=[INTERCEPT, BETA[0], BETA[1], S])\n",
    "f.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Observe:**\n",
    "\n",
    "+ Seems to have converged, traces look good, no divergences, rhat and ESS look good\n",
    "+ Posteriors (mostly) contain the original parameter values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. Same model but dataset has missing values, `sample_prior_predictive` fails"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lossy copy dataset with missing vals, and create masked array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "masked_array(\n",
       "  data=[[-0.6952829202455686, --],\n",
       "        [-0.24954880419354275, 3.940564716391214],\n",
       "        [-2.9510351886538366, 1.697820493137682],\n",
       "        [-0.8721595968327146, --],\n",
       "        [-1.0168011575042888, 2.14695607242642],\n",
       "        [-0.12060202513717144, 3.777791935428948],\n",
       "        [-0.933969302438784, --],\n",
       "        [-0.5324906577479545, 2.1407075371167616],\n",
       "        [-0.6312492159175012, 2.041117399171001],\n",
       "        [-0.12154969869272747, 2.950074089013747],\n",
       "        [-1.1848623635452606, 2.3190704555960586],\n",
       "        [0.22254133867403025, 2.8454705179311977],\n",
       "        [-1.4283278221631073, 2.6478664495117705],\n",
       "        [-0.4676908144466513, 3.365444064364078],\n",
       "        [-0.5872673884040116, --],\n",
       "        [1.1416476008704612, 2.5935849836153846],\n",
       "        [-1.5122427290715375, 2.1862272717521223],\n",
       "        [--, 4.128972292720892],\n",
       "        [-1.1139474576548751, 2.159843523037472],\n",
       "        [-1.8244812156912396, 3.650592787824701]],\n",
       "  mask=[[False,  True],\n",
       "        [False, False],\n",
       "        [False, False],\n",
       "        [False,  True],\n",
       "        [False, False],\n",
       "        [False, False],\n",
       "        [False,  True],\n",
       "        [False, False],\n",
       "        [False, False],\n",
       "        [False, False],\n",
       "        [False, False],\n",
       "        [False, False],\n",
       "        [False, False],\n",
       "        [False, False],\n",
       "        [False,  True],\n",
       "        [False, False],\n",
       "        [False, False],\n",
       "        [ True, False],\n",
       "        [False, False],\n",
       "        [False, False]],\n",
       "  fill_value=1e+20)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x1 = np.where(RNG.binomial(n=1, p=0.2, size=x0.shape), np.nan, x0)\n",
    "x1ma = np.ma.masked_array(x1, mask = np.isnan(x1))\n",
    "x1ma"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/jon/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/pymc3/model.py:1668: ImputationWarning: Data in x_pred contains missing values and will be automatically imputed from the sampling distribution.\n",
      "  warnings.warn(impute_message, ImputationWarning)\n"
     ]
    },
    {
     "data": {
      "image/svg+xml": [
       "<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\n",
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       " \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "coords={'names': ['a', 'b'],\n",
    "        'obs': np.arange(y.shape[0])}\n",
    "\n",
    "with pm.Model(coords=coords) as mdl1:\n",
    "    \n",
    "    x_mu = pm.Normal('x_mu', 0, 2, dims='names')\n",
    "    x_pred = pm.Normal('x_pred', mu=x_mu, sigma=1., observed=x1ma, dims=['obs', 'names'])\n",
    "    \n",
    "    intercept = pm.Normal('intercept', 0, 2)\n",
    "    beta = pm.Normal('beta', 0, 2, dims='names')\n",
    "    sigma = pm.InverseGamma('sigma', alpha=11, beta=10)\n",
    "    like = pm.Normal('like', mu=intercept + tt.dot(beta, x_pred.T),\n",
    "                             sigma=sigma, observed=y, dims='obs')\n",
    "\n",
    "rvs = ['x_mu', 'intercept', 'beta', 'sigma']\n",
    "display(pm.model_graph.model_to_graphviz(mdl1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### `sample_prior_predictive` fails"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "shape mismatch: value array of shape (2,) could not be broadcast to indexing result of shape (5,)\nApply node that caused the error: AdvancedIncSubtensor{inplace=False,  set_instead_of_inc=True}(TensorConstant{[[-6.95282..9279e+00]]}, x_pred_missing, TensorConstant{[ 0  3  6 14 17]}, TensorConstant{[1 1 1 1 0]})\nToposort index: 0\nInputs types: [TensorType(float64, matrix), TensorType(float64, vector), TensorType(int64, vector), TensorType(int64, vector)]\nInputs shapes: [(20, 2), (2,), (5,), (5,)]\nInputs strides: [(16, 8), (8,), (16,), (16,)]\nInputs values: ['not shown', array([-1.26155332, -1.39000285]), array([ 0,  3,  6, 14, 17]), array([1, 1, 1, 1, 0])]\nOutputs clients: [[CGemv{inplace}(AllocEmpty{dtype='float64'}.0, TensorConstant{1.0}, x_pred, beta, TensorConstant{0.0})]]\n\nBacktrace when the node is created(use Theano flag traceback.limit=N to make it longer):\n  File \"/Users/jon/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/IPython/core/interactiveshell.py\", line 3155, in run_cell_async\n    has_raised = await self.run_ast_nodes(code_ast.body, cell_name,\n  File \"/Users/jon/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/IPython/core/interactiveshell.py\", line 3347, in run_ast_nodes\n    if (await self.run_code(code, result,  async_=asy)):\n  File \"/Users/jon/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/IPython/core/interactiveshell.py\", line 3427, in run_code\n    exec(code_obj, self.user_global_ns, self.user_ns)\n  File \"<ipython-input-24-5ab5bac64eed>\", line 7, in <module>\n    x_pred = pm.Normal('x_pred', mu=x_mu, sigma=1., observed=x1ma, dims=['obs', 'names'])\n  File \"/Users/jon/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/pymc3/distributions/distribution.py\", line 83, in __new__\n    return model.Var(name, dist, data, total_size, dims=dims)\n  File \"/Users/jon/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/pymc3/model.py\", line 1112, in Var\n    var = ObservedRV(\n  File \"/Users/jon/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/pymc3/model.py\", line 1737, in __init__\n    data = as_tensor(data, name, model, distribution)\n  File \"/Users/jon/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/pymc3/model.py\", line 1683, in as_tensor\n    dataTensor = tt.set_subtensor(constant[data.mask.nonzero()], missing_values)\n\nHINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
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      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/pymc3/distributions/continuous.py\u001b[0m in \u001b[0;36mrandom\u001b[0;34m(self, point, size)\u001b[0m\n\u001b[1;32m    512\u001b[0m         \"\"\"\n\u001b[0;32m--> 513\u001b[0;31m         mu, tau, _ = draw_values([self.mu, self.tau, self.sigma],\n\u001b[0m\u001b[1;32m    514\u001b[0m                                  point=point, size=size)\n",
      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/pymc3/distributions/distribution.py\u001b[0m in \u001b[0;36mdraw_values\u001b[0;34m(params, point, size)\u001b[0m\n\u001b[1;32m    694\u001b[0m                                     )\n\u001b[0;32m--> 695\u001b[0;31m                         value = _draw_value(param,\n\u001b[0m\u001b[1;32m    696\u001b[0m                                             \u001b[0mpoint\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpoint\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/pymc3/distributions/distribution.py\u001b[0m in \u001b[0;36m_draw_value\u001b[0;34m(param, point, givens, size)\u001b[0m\n\u001b[1;32m    875\u001b[0m             \u001b[0mfunc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_compile_theano_function\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparam\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput_vars\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 876\u001b[0;31m             \u001b[0moutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput_vals\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    877\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0moutput\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/numpy/lib/function_base.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   2107\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2108\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_vectorize_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mvargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2109\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/numpy/lib/function_base.py\u001b[0m in \u001b[0;36m_vectorize_call\u001b[0;34m(self, func, args)\u001b[0m\n\u001b[1;32m   2181\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msignature\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2182\u001b[0;31m             \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_vectorize_call_with_signature\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2183\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/numpy/lib/function_base.py\u001b[0m in \u001b[0;36m_vectorize_call_with_signature\u001b[0;34m(self, func, args)\u001b[0m\n\u001b[1;32m   2210\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2211\u001b[0;31m         broadcast_shape, dim_sizes = _parse_input_dimensions(\n\u001b[0m\u001b[1;32m   2212\u001b[0m             args, input_core_dims)\n",
      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/numpy/lib/function_base.py\u001b[0m in \u001b[0;36m_parse_input_dimensions\u001b[0;34m(args, input_core_dims)\u001b[0m\n\u001b[1;32m   1876\u001b[0m         \u001b[0mbroadcast_args\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdummy_array\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1877\u001b[0;31m     \u001b[0mbroadcast_shape\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstride_tricks\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_broadcast_shape\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mbroadcast_args\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1878\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mbroadcast_shape\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdim_sizes\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/numpy/lib/stride_tricks.py\u001b[0m in \u001b[0;36m_broadcast_shape\u001b[0;34m(*args)\u001b[0m\n\u001b[1;32m    188\u001b[0m     \u001b[0;31m# consistently\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 189\u001b[0;31m     \u001b[0mb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbroadcast\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m32\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    190\u001b[0m     \u001b[0;31m# unfortunately, it cannot handle 32 or more arguments directly\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: shape mismatch: objects cannot be broadcast to a single shape",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/theano/compile/function_module.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    902\u001b[0m             \u001b[0moutputs\u001b[0m \u001b[0;34m=\u001b[0m\u001b[0;31m\\\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 903\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0moutput_subset\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;31m\\\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    904\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moutput_subset\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0moutput_subset\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/theano/gof/op.py\u001b[0m in \u001b[0;36mrval\u001b[0;34m(p, i, o, n)\u001b[0m\n\u001b[1;32m    891\u001b[0m             \u001b[0;32mdef\u001b[0m \u001b[0mrval\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mp\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnode_input_storage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mo\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnode_output_storage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnode\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 892\u001b[0;31m                 \u001b[0mr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mo\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    893\u001b[0m                 \u001b[0;32mfor\u001b[0m \u001b[0mo\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moutputs\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/theano/tensor/subtensor.py\u001b[0m in \u001b[0;36mperform\u001b[0;34m(self, node, inputs, out_)\u001b[0m\n\u001b[1;32m   2338\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_instead_of_inc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2339\u001b[0;31m             \u001b[0mout\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mtuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minputs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2340\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: shape mismatch: value array of shape (2,) could not be broadcast to indexing result of shape (5,)",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-25-344174df0c1a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mmdl1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m     \u001b[0mtrc1_prior\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msample_prior_predictive\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrandom_seed\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mRANDOM_SEED\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0mazid1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0maz\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_pymc3\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmdl1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprior\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtrc1_prior\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/pymc3/sampling.py\u001b[0m in \u001b[0;36msample_prior_predictive\u001b[0;34m(samples, model, vars, var_names, random_seed)\u001b[0m\n\u001b[1;32m   1955\u001b[0m     \u001b[0mnames\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_default_varnames\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvars_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minclude_transformed\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1956\u001b[0m     \u001b[0;31m# draw_values fails with auto-transformed variables. transform them later!\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1957\u001b[0;31m     \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdraw_values\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mname\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mnames\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msamples\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1958\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1959\u001b[0m     \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mv\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mv\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnames\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/pymc3/distributions/distribution.py\u001b[0m in \u001b[0;36mdraw_values\u001b[0;34m(params, point, size)\u001b[0m\n\u001b[1;32m    649\u001b[0m                     \u001b[0;31m# This may fail for autotransformed RVs, which don't\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    650\u001b[0m                     \u001b[0;31m# have the random method\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 651\u001b[0;31m                     value = _draw_value(next_,\n\u001b[0m\u001b[1;32m    652\u001b[0m                                         \u001b[0mpoint\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpoint\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    653\u001b[0m                                         \u001b[0mgivens\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtemp_givens\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/pymc3/distributions/distribution.py\u001b[0m in \u001b[0;36m_draw_value\u001b[0;34m(param, point, givens, size)\u001b[0m\n\u001b[1;32m    841\u001b[0m                     \u001b[0;31m# we don't want to store these drawn values to the context\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    842\u001b[0m                     \u001b[0;32mwith\u001b[0m \u001b[0m_DrawValuesContextBlocker\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 843\u001b[0;31m                         val = np.atleast_1d(dist_tmp.random(point=point,\n\u001b[0m\u001b[1;32m    844\u001b[0m                                                             size=None))\n\u001b[1;32m    845\u001b[0m                     \u001b[0;31m# Sometimes point may change the size of val but not the\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/pymc3/distributions/continuous.py\u001b[0m in \u001b[0;36mrandom\u001b[0;34m(self, point, size)\u001b[0m\n\u001b[1;32m    511\u001b[0m         \u001b[0marray\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    512\u001b[0m         \"\"\"\n\u001b[0;32m--> 513\u001b[0;31m         mu, tau, _ = draw_values([self.mu, self.tau, self.sigma],\n\u001b[0m\u001b[1;32m    514\u001b[0m                                  point=point, size=size)\n\u001b[1;32m    515\u001b[0m         return generate_samples(stats.norm.rvs, loc=mu, scale=tau**-0.5,\n",
      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/pymc3/distributions/distribution.py\u001b[0m in \u001b[0;36mdraw_values\u001b[0;34m(params, point, size)\u001b[0m\n\u001b[1;32m    693\u001b[0m                                         \u001b[0mdrawn\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msize\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    694\u001b[0m                                     )\n\u001b[0;32m--> 695\u001b[0;31m                         value = _draw_value(param,\n\u001b[0m\u001b[1;32m    696\u001b[0m                                             \u001b[0mpoint\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpoint\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    697\u001b[0m                                             \u001b[0mgivens\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mgivens\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/pymc3/distributions/distribution.py\u001b[0m in \u001b[0;36m_draw_value\u001b[0;34m(param, point, givens, size)\u001b[0m\n\u001b[1;32m    874\u001b[0m                 \u001b[0minput_vals\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    875\u001b[0m             \u001b[0mfunc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_compile_theano_function\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparam\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput_vars\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 876\u001b[0;31m             \u001b[0moutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput_vals\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    877\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0moutput\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    878\u001b[0m     \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Unexpected type in draw_value: %s'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0mtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mparam\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/numpy/lib/function_base.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   2106\u001b[0m             \u001b[0mvargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mextend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0m_n\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0m_n\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mnames\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2107\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2108\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_vectorize_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mvargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2109\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2110\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_get_ufunc_and_otypes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/numpy/lib/function_base.py\u001b[0m in \u001b[0;36m_vectorize_call\u001b[0;34m(self, func, args)\u001b[0m\n\u001b[1;32m   2180\u001b[0m         \u001b[0;34m\"\"\"Vectorized call to `func` over positional `args`.\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2181\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msignature\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2182\u001b[0;31m             \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_vectorize_call_with_signature\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2183\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2184\u001b[0m             \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/numpy/lib/function_base.py\u001b[0m in \u001b[0;36m_vectorize_call_with_signature\u001b[0;34m(self, func, args)\u001b[0m\n\u001b[1;32m   2221\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2222\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mindex\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndindex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mbroadcast_shape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2223\u001b[0;31m             \u001b[0mresults\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marg\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0marg\u001b[0m \u001b[0;32min\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2224\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2225\u001b[0m             \u001b[0mn_results\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresults\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresults\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/theano/compile/function_module.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    912\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mhasattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'thunks'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    913\u001b[0m                     \u001b[0mthunk\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mthunks\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mposition_of_error\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 914\u001b[0;31m                 gof.link.raise_with_op(\n\u001b[0m\u001b[1;32m    915\u001b[0m                     \u001b[0mnode\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnodes\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mposition_of_error\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    916\u001b[0m                     \u001b[0mthunk\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mthunk\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/theano/gof/link.py\u001b[0m in \u001b[0;36mraise_with_op\u001b[0;34m(node, thunk, exc_info, storage_map)\u001b[0m\n\u001b[1;32m    323\u001b[0m         \u001b[0;31m# extra long error message in that case.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    324\u001b[0m         \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 325\u001b[0;31m     \u001b[0mreraise\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexc_type\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexc_value\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexc_trace\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    326\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    327\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/six.py\u001b[0m in \u001b[0;36mreraise\u001b[0;34m(tp, value, tb)\u001b[0m\n\u001b[1;32m    700\u001b[0m                 \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    701\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__traceback__\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mtb\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 702\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwith_traceback\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    703\u001b[0m             \u001b[0;32mraise\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    704\u001b[0m         \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/theano/compile/function_module.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    901\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    902\u001b[0m             \u001b[0moutputs\u001b[0m \u001b[0;34m=\u001b[0m\u001b[0;31m\\\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 903\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0moutput_subset\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;31m\\\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    904\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moutput_subset\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0moutput_subset\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    905\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/theano/gof/op.py\u001b[0m in \u001b[0;36mrval\u001b[0;34m(p, i, o, n)\u001b[0m\n\u001b[1;32m    890\u001b[0m             \u001b[0;31m# default arguments are stored in the closure of `rval`\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    891\u001b[0m             \u001b[0;32mdef\u001b[0m \u001b[0mrval\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mp\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnode_input_storage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mo\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnode_output_storage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnode\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 892\u001b[0;31m                 \u001b[0mr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mo\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    893\u001b[0m                 \u001b[0;32mfor\u001b[0m \u001b[0mo\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moutputs\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    894\u001b[0m                     \u001b[0mcompute_map\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mo\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/theano/tensor/subtensor.py\u001b[0m in \u001b[0;36mperform\u001b[0;34m(self, node, inputs, out_)\u001b[0m\n\u001b[1;32m   2337\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2338\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_instead_of_inc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2339\u001b[0;31m             \u001b[0mout\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mtuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minputs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2340\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2341\u001b[0m             \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mout\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minputs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: shape mismatch: value array of shape (2,) could not be broadcast to indexing result of shape (5,)\nApply node that caused the error: AdvancedIncSubtensor{inplace=False,  set_instead_of_inc=True}(TensorConstant{[[-6.95282..9279e+00]]}, x_pred_missing, TensorConstant{[ 0  3  6 14 17]}, TensorConstant{[1 1 1 1 0]})\nToposort index: 0\nInputs types: [TensorType(float64, matrix), TensorType(float64, vector), TensorType(int64, vector), TensorType(int64, vector)]\nInputs shapes: [(20, 2), (2,), (5,), (5,)]\nInputs strides: [(16, 8), (8,), (16,), (16,)]\nInputs values: ['not shown', array([-1.26155332, -1.39000285]), array([ 0,  3,  6, 14, 17]), array([1, 1, 1, 1, 0])]\nOutputs clients: [[CGemv{inplace}(AllocEmpty{dtype='float64'}.0, TensorConstant{1.0}, x_pred, beta, TensorConstant{0.0})]]\n\nBacktrace when the node is created(use Theano flag traceback.limit=N to make it longer):\n  File \"/Users/jon/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/IPython/core/interactiveshell.py\", line 3155, in run_cell_async\n    has_raised = await self.run_ast_nodes(code_ast.body, cell_name,\n  File \"/Users/jon/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/IPython/core/interactiveshell.py\", line 3347, in run_ast_nodes\n    if (await self.run_code(code, result,  async_=asy)):\n  File \"/Users/jon/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/IPython/core/interactiveshell.py\", line 3427, in run_code\n    exec(code_obj, self.user_global_ns, self.user_ns)\n  File \"<ipython-input-24-5ab5bac64eed>\", line 7, in <module>\n    x_pred = pm.Normal('x_pred', mu=x_mu, sigma=1., observed=x1ma, dims=['obs', 'names'])\n  File \"/Users/jon/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/pymc3/distributions/distribution.py\", line 83, in __new__\n    return model.Var(name, dist, data, total_size, dims=dims)\n  File \"/Users/jon/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/pymc3/model.py\", line 1112, in Var\n    var = ObservedRV(\n  File \"/Users/jon/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/pymc3/model.py\", line 1737, in __init__\n    data = as_tensor(data, name, model, distribution)\n  File \"/Users/jon/opt/anaconda3/envs/freberg_trk/lib/python3.8/site-packages/pymc3/model.py\", line 1683, in as_tensor\n    dataTensor = tt.set_subtensor(constant[data.mask.nonzero()], missing_values)\n\nHINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node."
     ]
    }
   ],
   "source": [
    "with mdl1:\n",
    "    trc1_prior = pm.sample_prior_predictive(random_seed=RANDOM_SEED)\n",
    "azid1 = az.from_pymc3(model=mdl1, prior=trc1_prior)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# extra = 3\n",
    "# m, n = 2, ((len(rvs)+extra) // 2) + ((len(rvs)+extra) % 2)\n",
    "# f, axs = plt.subplots(n, m, figsize=(m*6, 2.2*n))\n",
    "# _ = az.plot_posterior(azid1, group='prior', var_names=rvs, ax=axs)\n",
    "# f.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Just for good measure, show that `sample` works fine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Auto-assigning NUTS sampler...\n",
      "Initializing NUTS using jitter+adapt_diag...\n",
      "Multiprocess sampling (4 chains in 4 jobs)\n",
      "NUTS: [sigma, beta, intercept, x_pred_missing, x_mu]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "    <div>\n",
       "        <style>\n",
       "            /* Turns off some styling */\n",
       "            progress {\n",
       "                /* gets rid of default border in Firefox and Opera. */\n",
       "                border: none;\n",
       "                /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
       "                background-size: auto;\n",
       "            }\n",
       "            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
       "                background: #F44336;\n",
       "            }\n",
       "        </style>\n",
       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
       "      100.00% [8000/8000 00:13<00:00 Sampling 4 chains, 1 divergences]\n",
       "    </div>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "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 23 seconds.\n",
      "There was 1 divergence after tuning. Increase `target_accept` or reparameterize.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0, dim: obs, 20 =? 20\n",
      "1, dim: names, 2 =? 2\n",
      "0, dim: obs, 20 =? 20\n"
     ]
    }
   ],
   "source": [
    "with mdl1:\n",
    "    trc1 = pm.sample(target_accept=0.85, random_seed=RANDOM_SEED)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0, dim: obs, 20 =? 20\n",
      "1, dim: names, 2 =? 2\n",
      "0, dim: obs, 20 =? 20\n"
     ]
    }
   ],
   "source": [
    "azid1 = az.from_pymc3(model=mdl1, trace=trc1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 10 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 728,
       "width": 872
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = az.plot_trace(azid1,  compact=True, combined=False, kind=\"rank_bars\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>sd</th>\n",
       "      <th>hdi_3%</th>\n",
       "      <th>hdi_97%</th>\n",
       "      <th>mcse_mean</th>\n",
       "      <th>mcse_sd</th>\n",
       "      <th>ess_mean</th>\n",
       "      <th>ess_sd</th>\n",
       "      <th>ess_bulk</th>\n",
       "      <th>ess_tail</th>\n",
       "      <th>r_hat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>x_mu[0]</th>\n",
       "      <td>-0.792</td>\n",
       "      <td>0.224</td>\n",
       "      <td>-1.214</td>\n",
       "      <td>-0.365</td>\n",
       "      <td>0.004</td>\n",
       "      <td>0.003</td>\n",
       "      <td>4026.0</td>\n",
       "      <td>3761.0</td>\n",
       "      <td>4006.0</td>\n",
       "      <td>2964.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>x_mu[1]</th>\n",
       "      <td>2.813</td>\n",
       "      <td>0.226</td>\n",
       "      <td>2.402</td>\n",
       "      <td>3.240</td>\n",
       "      <td>0.004</td>\n",
       "      <td>0.003</td>\n",
       "      <td>3747.0</td>\n",
       "      <td>3747.0</td>\n",
       "      <td>3756.0</td>\n",
       "      <td>2644.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>x_pred_missing[0]</th>\n",
       "      <td>2.430</td>\n",
       "      <td>0.316</td>\n",
       "      <td>1.835</td>\n",
       "      <td>3.032</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.003</td>\n",
       "      <td>4234.0</td>\n",
       "      <td>4234.0</td>\n",
       "      <td>4295.0</td>\n",
       "      <td>2534.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>x_pred_missing[1]</th>\n",
       "      <td>2.789</td>\n",
       "      <td>0.308</td>\n",
       "      <td>2.203</td>\n",
       "      <td>3.370</td>\n",
       "      <td>0.006</td>\n",
       "      <td>0.004</td>\n",
       "      <td>3123.0</td>\n",
       "      <td>3081.0</td>\n",
       "      <td>3180.0</td>\n",
       "      <td>2596.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>x_pred_missing[2]</th>\n",
       "      <td>4.110</td>\n",
       "      <td>0.335</td>\n",
       "      <td>3.523</td>\n",
       "      <td>4.757</td>\n",
       "      <td>0.006</td>\n",
       "      <td>0.005</td>\n",
       "      <td>2688.0</td>\n",
       "      <td>2611.0</td>\n",
       "      <td>2711.0</td>\n",
       "      <td>1922.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>x_pred_missing[3]</th>\n",
       "      <td>3.077</td>\n",
       "      <td>0.316</td>\n",
       "      <td>2.507</td>\n",
       "      <td>3.698</td>\n",
       "      <td>0.006</td>\n",
       "      <td>0.004</td>\n",
       "      <td>3290.0</td>\n",
       "      <td>3285.0</td>\n",
       "      <td>3369.0</td>\n",
       "      <td>2423.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>x_pred_missing[4]</th>\n",
       "      <td>-1.148</td>\n",
       "      <td>0.886</td>\n",
       "      <td>-2.817</td>\n",
       "      <td>0.515</td>\n",
       "      <td>0.015</td>\n",
       "      <td>0.011</td>\n",
       "      <td>3565.0</td>\n",
       "      <td>3284.0</td>\n",
       "      <td>3580.0</td>\n",
       "      <td>2590.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>intercept</th>\n",
       "      <td>1.829</td>\n",
       "      <td>0.757</td>\n",
       "      <td>0.418</td>\n",
       "      <td>3.263</td>\n",
       "      <td>0.018</td>\n",
       "      <td>0.013</td>\n",
       "      <td>1774.0</td>\n",
       "      <td>1774.0</td>\n",
       "      <td>1777.0</td>\n",
       "      <td>2365.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beta[0]</th>\n",
       "      <td>-0.490</td>\n",
       "      <td>0.213</td>\n",
       "      <td>-0.891</td>\n",
       "      <td>-0.096</td>\n",
       "      <td>0.004</td>\n",
       "      <td>0.003</td>\n",
       "      <td>2834.0</td>\n",
       "      <td>2701.0</td>\n",
       "      <td>2854.0</td>\n",
       "      <td>2414.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beta[1]</th>\n",
       "      <td>2.436</td>\n",
       "      <td>0.248</td>\n",
       "      <td>1.960</td>\n",
       "      <td>2.884</td>\n",
       "      <td>0.006</td>\n",
       "      <td>0.004</td>\n",
       "      <td>1902.0</td>\n",
       "      <td>1896.0</td>\n",
       "      <td>1902.0</td>\n",
       "      <td>2475.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sigma</th>\n",
       "      <td>0.764</td>\n",
       "      <td>0.134</td>\n",
       "      <td>0.525</td>\n",
       "      <td>1.010</td>\n",
       "      <td>0.003</td>\n",
       "      <td>0.002</td>\n",
       "      <td>2405.0</td>\n",
       "      <td>2389.0</td>\n",
       "      <td>2399.0</td>\n",
       "      <td>1925.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  \\\n",
       "x_mu[0]           -0.792  0.224  -1.214   -0.365      0.004    0.003   \n",
       "x_mu[1]            2.813  0.226   2.402    3.240      0.004    0.003   \n",
       "x_pred_missing[0]  2.430  0.316   1.835    3.032      0.005    0.003   \n",
       "x_pred_missing[1]  2.789  0.308   2.203    3.370      0.006    0.004   \n",
       "x_pred_missing[2]  4.110  0.335   3.523    4.757      0.006    0.005   \n",
       "x_pred_missing[3]  3.077  0.316   2.507    3.698      0.006    0.004   \n",
       "x_pred_missing[4] -1.148  0.886  -2.817    0.515      0.015    0.011   \n",
       "intercept          1.829  0.757   0.418    3.263      0.018    0.013   \n",
       "beta[0]           -0.490  0.213  -0.891   -0.096      0.004    0.003   \n",
       "beta[1]            2.436  0.248   1.960    2.884      0.006    0.004   \n",
       "sigma              0.764  0.134   0.525    1.010      0.003    0.002   \n",
       "\n",
       "                   ess_mean  ess_sd  ess_bulk  ess_tail  r_hat  \n",
       "x_mu[0]              4026.0  3761.0    4006.0    2964.0    1.0  \n",
       "x_mu[1]              3747.0  3747.0    3756.0    2644.0    1.0  \n",
       "x_pred_missing[0]    4234.0  4234.0    4295.0    2534.0    1.0  \n",
       "x_pred_missing[1]    3123.0  3081.0    3180.0    2596.0    1.0  \n",
       "x_pred_missing[2]    2688.0  2611.0    2711.0    1922.0    1.0  \n",
       "x_pred_missing[3]    3290.0  3285.0    3369.0    2423.0    1.0  \n",
       "x_pred_missing[4]    3565.0  3284.0    3580.0    2590.0    1.0  \n",
       "intercept            1774.0  1774.0    1777.0    2365.0    1.0  \n",
       "beta[0]              2834.0  2701.0    2854.0    2414.0    1.0  \n",
       "beta[1]              1902.0  1896.0    1902.0    2475.0    1.0  \n",
       "sigma                2405.0  2389.0    2399.0    1925.0    1.0  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pm.summary(azid1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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