{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.rcParams[\"font.family\"] = \"Times New Roman\"\n",
    "plt.rcParams[\"font.size\"] = 16\n",
    "\n",
    "g_label_fontsize = 16\n",
    "\n",
    "colors = [\n",
    "    \"#455D7A\",\n",
    "    \"#233142\",\n",
    "    \"#F95959\",\n",
    "]\n",
    "\n",
    "edgecolors = [\n",
    "    \"#FFFFFF\",\n",
    "    \"#FFFFFF\",\n",
    "    \"#FFFFFF\",\n",
    "]\n",
    "\n",
    "hatches = [\"\\\\\\\\\", \"\", \"\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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t26bo6OhS99uzZ49atmypoqKiktiiRYs0YMCAoNXqlxAPdiAMPfnkkx5TUStWrPB6/y5durjt27RpU+Ps2bNBrNiTE9YAAMEQzv0xJSWl5Li1atUyXn/9daO4uLjUfdLT043+/fuXOvk7atSoCqkfACpCOPd5X40fP76kztatW3PFCgCO59Qef+rUKaNz584ea5s2bVqoSwOAChXufb5Pnz5ux7/rrrv8yjNmzBi3PPHx8ba9ZDwA+OrMmTMesbfeeissrlgxf/58jxpnzZrl9f6DBg1y27dWrVpGRkZGECv2XYTvoxi4kKWlpWny5Mluscsvv1w9evTwOseIESPctvfu3avp06eXS33ecMIaACAYwrk//vjjj5o5c6YkqVmzZvrmm2901113lfmNjXr16mnx4sV66KGHLJ/z8ssvKzMzs1zrBYBQCOc+76t169Zp6tSpkn7+Ft+YMWNCWxAABJlTe/yZM2fUp08fff31127xhx56SI888kiIqgKAihfufT47O1srVqxwi/lS+69de+21btsnTpzQ6tWr/S0NAGylatWqHrHk5OQy3+cOtZycHI/3XmrVqqXBgwd7neO356msrCyNHz++PMorNwxWwCdPPfWU8vLy3GK+XoZl4MCBioyM9MhrdhmbYHDCGgAgGMK5P7777rvKy8tTQkKCVqxYoUaNGnm9r8vl0vPPP68bb7zR9PHCwkItWbKknCoFgNAJ5z7vizNnzmjIkCEqKipSXFyc3njjDUVE8KcvAGdzYo/Py8vTjTfe6DFU0a9fv5APfABARQv3Pr9mzRqdP3/eLVarVi2/cjVo0MAjtnfvXr9yAUA4iI2NVXx8fKjLKNVLL73k8eXEvn37lnkLkF+77rrrPNY5e/Zs7dy5s1xqLA+8uwSvpaenm96rp1+/fj7liYuLU/v27d1iZ86c0auvvhpIeV5xwhoAIBjCvT++/fbbkqR58+bp0ksv9Xl/l8ulOXPmmE4ESz/fixQAwlm493lfPPTQQ9q/f78k6T//+Y/q168f4ooAILic2uPvv/9+j28gN27cWAsWLGBgDsAFxQl9/siRIx6x9PR0v3KZvXdz6tQpv3IBQLioWbNmqEuwdO7cOdPBZ1/PUxERER5XJSoqKtLzzz8fQHXli79C4LXXXntN+fn5brHKlSvryiuv9DlX9+7dPWIvvfSSiouL/a7PG05YAwAEQzj3x6KiIn311Vf605/+pJ49e/qdp3bt2nrggQdMHzN7AwAAwkk493lfLFq0qORN5yFDhmjQoEGhLQgAKoATe/zLL79s+iHif/7zH8XGxlZoLQAQak7o89nZ2R6xb775xq9cZ86c8YjVrVvXr1wAEC4qV64c6hIsLVy4UCdOnPCIX3XVVT7nMjtPvfHGG/rxxx/9qq28MVgBr/3ybeBfa926tcflw7zRpUsXj9iRI0e0Zs0av2rzlhPWAADBEM79cdeuXfrpp5+UkpIScK6BAweaxs1eGAJAOAnnPu+t9PR03XPPPZKkRo0a6cUXXwxpPQBQUZzW43fv3u1xf2ZJuuOOO9SrV68KqwMA7MIJfT4uLs4j9vbbb3sMjHjD7LYff/jDH/wpCwDCRkxMTKhLsLRgwQKPWHx8vBITE33OZXaeOnfunG1u1c1gBbyyefNm7dq1yyPepk0bv/K1aNHCNP7ee+/5lc8bTlgDAARDuPfH6OhozZw5U1dffXXAudq1a6fq1at7xO08EQwAZQn3Pu8NwzA0bNgwnTp1SpGRkZo/f76qVasWsnoAoKI4rccbhqF77rnH44O2qlWrml5eGACczil9vmXLlh6x7Oxs/etf//I516pVq9y2u3btqqZNm/pdGwCEA7veCu/kyZOmt9H29zzVrFkz07Xa5bNXe/5fgO18/PHHpvEGDRr4la9JkyaqVKmSR/zzzz/3K583nLAGAAiGcO+PTZo00ahRo8olV0REhOkkbUJCQrnkB4BQCPc+740ZM2Zo+fLlkqS///3v6tq1a8hqAYCK5LQeP3fuXK1evdojfv/996tOnToVUgMA2IlT+nznzp1Nb+X05JNPavv27V7nycvL08KFC91iEyZMCLg+ALA7f65SVBFWrFihwsJCj7i/56nKlSurYcOGHvHVq1erqKjIr5zlicEKeGXdunWm8UsvvdSvfJGRkapfv75HfOfOnTp58qRfOcvihDUAQDDQH93VrFnTI9a6desQVAIA5cPpfX779u167LHHJP38bbXx48dXeA0AECpO6vHnz5/XpEmTPOJRUVGmtwYBgAuBU/p8lSpVTG+/mp+frxtuuEFHjx71Ks/06dPd6rz99tt1/fXXl1udAADflPd5SpIaN27sEcvJydGWLVv8zlleGKyAV9avX28aD+QXo27duh4xwzC0efNmv3OWxglrAIBgoD+6M7u/Z7du3UJQCQCUDyf3+fz8fN1xxx3Ky8tTtWrV9Oabb9r2WxwAEAxO6vGzZ8/WoUOHPOLJycl+3Z8ZAJzASX3+scceM32tfvjwYV133XXat29fqft/9913+sc//lGy3a5dO82aNavc6wQAeC8YgxVm5ynp5/NAqDFYgTIdPXrUclo1kF+M+Ph40/iOHTv8zmnFCWsAgGCgP3o6cuSI23aVKlXUo0ePEFUDAIFxep//29/+pq1bt0qSXnjhBdNvNQCAUzmtxz/77LOm8WHDhgX1uABgV07r882aNdPf/vY308f27NmjLl26aNWqVaaPHz16VP3791deXp4k6aqrrtKKFStUpUqVoNULAChdcXGxtm3bZvpYOJ6nvMFgBcp04MABy8cC+cWwujfm3r17/c5pxQlrAIBgoD+6O3nypI4fP+4Wu/322/lDHUDYcnKf/+yzzzR9+nRJ0qBBg3TnnXdW2LEBwA6c1ONXr15t+k3lGjVqqHfv3iXbp06d0vz58zVixAi1bdtWCQkJio6OVmJiojp37qzx48dr+/btQasTACqSk/r8LyZMmGD55ZWsrCz17NlTs2fPdoufPHlSPXv21OHDhyX9/Np/+fLlqlGjRtDrBQBYS09PV0FBgelj4XqeKguDFShTWlqaaTw2NlZVq1b1O290dLRpPCMjw++cVpywBgAIBvqju9WrV7ttu1wujR49OkTVAEDgnNrns7OzNXToUBmGofr16+vll1+ukOMCgJ04qcfPmTPHNN63b19VqlRJO3bs0J///GddeumlGjx4sGbPnq2tW7fq+PHjKigo0LFjx7RhwwZNmTJFrVu31uDBgz0GpgEg3Dipz/8iKipKixcv1hVXXGH6+Pnz5zVixAj95S9/UXFxsTIyMtS9e3ft3LlT0dHRmjlzphYsWMAXYADABqzOU5KUkJDgd95Qv+dUGgYrUKbfXhL9F4G+eLH6xQjGH75OWAMABAP90d2SJUvctm+//Xa1bt06NMUAQDlwap+/7777dPToUUVEROjNN9/UxRdfXCHHBQA7cUqPLy4u1tKlS00fu+qqq/TQQw+pTZs2mjVrls6dO6fY2FjVr19f1apVs8w5f/58tWrVShs2bAhKzQBQEZzS53+revXqWr58ua688krL5zzzzDNKTk7WNddco+3bt6tDhw769ttvNWrUqAqpEQBQNqvzlBTYuSrU56nSMFiBMuXk5JjGg/UCzup4gXDCGgAgGOiP/yc3N1fvv/9+yXZUVJT+8Y9/hLAiAAicE/v8vHnztHDhQknSuHHjdM011wT9mABgR07p8Zs2bdKpU6dMH3v00Uc1c+ZM1axZUxMnTtSWLVuUm5urgwcPKicnR99//70eeughXXTRRR77ZmVlqUePHlq1alVQ6gaAYHNKnzdTu3Ztff755+rSpYvlcz766CPt27dP3bp101dffaVWrVpVWH0AgLKVdt6oXLmy33ntcJ6ywmAFynT27FnTeCC/FJIUGRlpGs/Pzw8orxknrAEAgoH++H/mzZvn9uIsJSVFv/vd70JYEQAEzml9Pi0tTQ8++KAkqWPHjnriiSeCejwAsDOn9PjPP/+81McnTpyoAwcOaNKkSWrTpo3bYy1bttSMGTO0evVq1apVy2Pf3Nxc3XLLLTp27Fi51gwAFcEpfd5KXFycPv/8c910002lPm/VqlV64IEHdP78+QqqDADgDavzVExMjFwul9957XKeMsNgBcpk9YsR6GRsUVGRabygoCCgvGacsAYACAb6488KCgr0zDPPlGw3a9ZMEydODGFFAFA+nNTni4uLNWTIEOXk5Cg2Nlbz589XVFRU0I4HAHbnlB6/efNm03inTp20c+dOTZo0SbGxsaXm6NKliz766CNVqlTJ47HMzEwNGTKkPEoFgArllD5fmsqVK+u9997TiBEjSn3eK6+8ou7du+vEiRMVVBkAoCwXwnnqtxisQJkMwzCNBzoZW1xcbBq3usRLIJywBgAIBvrjz1599VWlpaVJ+nkidtasWbatFQB84aQ+/89//lNffvmlJGnGjBlq2rRp0I4FAOHAKT1+165dpvHk5GTVr1/f6zydO3fW448/bvrYZ599ps8++8yv+gAgVJzS58uyatUqffjhh4qKiir11iBr165V165dtWfPngqsDgBg5UI5T/0agxUoU9WqVYOSNy8vzzQe6CSTGSesAQCCgf74872Xf311iieeeEJ/+MMfQlgRAJQfp/T5jRs3ltz2Y8CAAWV+ow0ALgRO6fF79+41jTds2NDnXGPHjlXNmjVNH3v66ad9zgcAoeSUPl+aZ599Vj179lR2drYWLVqktWvX6q9//avl8/fv36+uXbvqq6++qsAqAQBmLoTz1G8xWIEyVatWzTRu9Q/bW1b3wgl0ksmME9YAAMFAf5QefvhhnTp1SpJ0/fXX629/+1uIKwKA8uOEPn/27FndcccdOn/+vC655BK99tpr5X4MAAhHTujx58+f15kzZ0wfu+SSS3zOFxsbqwceeMD0sRUrVpS87geAcOCEPm+lqKhI999/v1JSUlRcXKzZs2crOTlZEREReuqpp/Tf//7X9PZOknTq1Cn17t1b69evr7B6AQCenHyessJgBcoUrF+M3Nxc03hcXFxAec04YQ0AEAwXen9cunSp3njjDUlSo0aN9Oabb8rlcoW4KgAoP07o84888oj27Nkjl8ul//73v5bfRAaAC40TerzVUIUkJSQk+JXT6qpGhmFo9erVfuUEgFBwQp83U1RUpEGDBunll1+WJI0ePVp33HGH23PuvPNOffrpp5Y15eTkqHfv3tq2bVuwywUAWHDqeao0DFagTDVq1DCNB/qLkZOTYxpv0KBBQHnNOGENABAMF3J/PHLkiO666y5JUs2aNbVs2TLVqlUrxFUBQPkK9z7/4Ycf6pVXXpH08+Xde/ToUa75ASCchXuPl36+KpEVf1+bN2jQQG3atDF97Ouvv/YrJwCEghP6/G8ZhqGhQ4fqvffekyQ1btxYTz31lOlzu3XrpjVr1igxMdH08TNnzqhfv37Kzs4OWr0AAGtOPE+VhcEKlKlZs2amcauJIW+dPn3aNF6/fv2A8ppxwhoAIBgu1P54/vx5DRo0SFlZWapUqZJSU1Mt/1sAQDgL9z7/628dP/vss3K5XH79DB8+3DS/1fMBIByEe4+XpIsuusjyserVq/udt3fv3qbxjIwMv3MCQEVzQp//ralTp2r+/Pkl208++aSio6Mtn3/55ZdrzZo1atiwoenjBw8eVEpKSnmXCQDwgtV5qqioKKDhCjt/tsBgBcrUqlUr03hmZqYKCwv9zpuZmWkat3qRFAgnrAEAguFC7Y8PPvig1q5dq4iICM2bN09JSUmhLgkAgiLc+/yJEyfKNR8AOEm493hJio2NtXysUqVKfudt3bq1aTwrK8vvnABQ0ZzQ53/t66+/1oQJE0q2L7nkEg0cOLDM/Ro3bqwvvvjC8gO1119/Xd9++2251QkA8M5ll11mOQydnp7ud147f7bAYAXKVLNmTdP7WhYXF+vYsWN+5z1+/LhpvH379n7ntOKENQBAMFyI/fHFF18suaz8zJkzddttt4W4IgAInguxzwPAhcIJPb5q1aqWwxX5+fl+57X6MLKgoMDvnABQ0ZzQ53/twQcfVHFxccn2gAEDFBUV5dW+DRs21KeffqratWubPv7ss8+WS40AAN+0bNnSNH706FG/c9r5PScGK+CVtm3bmsaPHDniV768vDydPHnSI16nTh397ne/8ytnWZywBgAIhgupP37wwQcaPXq0JOmJJ57QyJEjQ1oPAFSEC6nPA8CFxgk9vnHjxqbxU6dO+Z2zbt26pvFatWr5nRMAQsEJfV6SVq5cqW+++cYt1qNHD59yNGvWTIsWLTIdxkhNTdW5c+cCqhEA4LvyPk9J0uHDhz1iERER6tSpk985ywuDFfBKnz59TOMHDhzwK19aWpppvEuXLn7l84YT1gAAwXCh9MevvvpKgwYNUlFRkUaPHu12+UkAcLILpc8DwIXICT3+8ssvN437uwZJqlatmmnc6pvOAGBXTujzkjR//nyPmFX/L01SUpImTZrkEc/Pz9e6dev8KQ0AEIDyPk+dO3fO9LawrVq1snyNX5EYrIBXkpOTTePfffedX/n27t1rGu/Xr59f+bzhhDUAQDBcCP1x+/btuuGGG3T27FkNHTpU06dPD1ktAFDRwrnPG4ZRLj9z5szxKT8AhItw7vG/uPrqq03j27dv9zun1e1F/PkQDwBCyQl9XpLWrFnjETO7zYk3UlJS1KBBA4/4vn37/MoHAPBfz549FRMT4xH39zy1b98+0/dl7PLZK4MV8EqjRo1M70/57bff+pVv69atHrGoqCgNGDDAr3zecMIaACAYnN4ff/jhB/Xu3VvZ2dm66aab9Prrr8vlcoWkFgAIBaf3eQC4kDmhx/fs2dM0/vXXX/udMzc31zR+zTXX+J0TAELBCX1eMr8kvNkHcd6oVKmShg0b5hEP5BZSAAD/VKlSxfTWTuV5npKk2267za985Y3BCnhtyJAhHrFNmzb59Y0us0mlnj17Bv1el05YAwAEg1P748GDB3XdddcpPT1dvXr10oIFCxQZGVnhdQBAqDm1zwMAwr/H//73v9cVV1zhEV+xYoXfOU+fPu0RS0xMVPPmzf3OCQChEu59XpJprWa92ltJSUkesbi4OL/zAQD8Z3aeSktL82vgzew81aJFC7Vp08av2sobgxXw2n333afq1au7xX788Ud99dVXPudau3atR2zMmDH+luY1J6wBAILBif3x8OHDuu6663To0CFdc801Sk1NVXR0dEA5n3766YDe4AWAUHFinwcA/MwJPf7uu+/2iB0+fNjyG2tl2bVrl1fHAIBw4IQ+b3bbj4yMDL/zXXLJJR6xevXq+Z0PAOC/gQMHqnHjxh7xTz75xOdcX375pUfMTu85MVgBr1188cW67777POKpqak+5fn22291/Phxt1i7du3Uq1evgOrzhhPWAADB4LT+ePDgQXXr1k379+9Xp06d9NFHH6lKlSoB5XzllVc0btw4vpENICw5rc8DAP6PE3r88OHDVbt2bY/4vHnz/Mr3zTffuG1HRUXp3nvv9SsXAISaE/p8p06dPGLr16/3O19eXp7bdkREhK666iq/8wEA/BcZGalHH33UI+7reSozM1MbN250i9WrV09Dhw4NqL7yxGAFfDJmzBjFxsa6xXz9xVi8eLFHbPLkyQHV5QsnrAEAgsEp/TEtLU3XXnutDhw4oA4dOuiTTz5RtWrV/M5XXFys5557TiNHjlSrVq105ZVXlmO1AFBxnNLnAQCewr3HV6lSRRMnTvSIz507V2fOnPE536JFi9y277//fiUmJvpdHwCEWrj3+T/96U8esQ8++MDvfLt373bbvvrqqxUfH+93PgCwu8LCQo9YcXFxCCoxN3z4cI+rCS1btsxjEK40S5Ys8VjT3//+94CvQl2eGKyAT+rVq6cJEya4xfbt26dVq1Z5tX9eXp5mzZrlFrv55pt1ww03eF3DkiVLdMUVVyg6OloNGjTQ1KlTfWoedlgDANiRHfpjoD1+z549uuaaa5SWlqYuXbpo+fLlXt9j0zAMFRYWKjc3V0ePHtWGDRs0bdo0tW3bVmPHjlVxcbEGDx7sdS0AYDdO6PMAAHNO6PH333+/2rdv7xbLysrSc88953UOSVq3bp02b95csp2YmKgpU6b4lAMA7Cbc+7zZZeI//PBD7d271+vj/9rChQvdtlNSUvzKAwDh4vz58x6xgoKCcsu/Zs0a/eEPf1BMTIzq1aunsWPH+jQUERMT4/G6PTc3V++8847XOV544QW37Y4dO5pesSmkDMBHBQUFRseOHQ1JJT9//OMfvdp3ypQpbvvVrVvXOHr0qNfHXrhwodv+v/yMGjUqbNYAAHYWzj1+y5YtRnx8vGmO8vhxuVzGoUOHvF4PANhROPf5QMyZM8f02ADgJE7o8bt37zaqVavmliM6OtrYvn27V/vn5+cbbdq0cXsN//777/tUAwDYVbj3+UWLFnnsn5SUZBQWFnqdwzAMY/369YbL5SrJ0atXL5/2B4Bw1KJFC48e2qdPn3LJvXbtWuOiiy7yyN+vXz+fc910001uOZo3b26cP3++zP3efPNNt/1iY2ONrVu3+rOcoOKdJPjlwIEDRs2aNd3+kc+dO7fUfVatWmVER0eXPD8mJsZYv369T8c1axySjIiICCMjIyMs1gAAdheOPX79+vVGjRo1gjZUIcm49tprfVoPANhVOPb5QDFYAeBC4YQen5qaakRGRrrladasmXHixIlS9ysqKjLuvPNOt/3Gjx/v07EBwO7Cvc+PHDnSI8ef//xno6ioyKv99+/fbyQmJpbs26hRo6D/LQEAdnDxxRd79M82bdqUS+4+ffpYvie+YcMGn3JlZ2cbjRs3dssxadKkUvfZsWOH27nN5XIZixcvDmRJQcM7SfDb+vXrjapVq5b8Q4+Ojrb8h/7222+7PbdatWrGsmXLfD6m2cTULz/r1q0LizUAQDgIpx7/8ccfG1WqVAnqUIUk4/XXX/d5TQBgV+HU58sDgxUALiRO6PFz5sxx+zayJKN169bGnj17TJ+fmZnp8e240aNH+3xcAAgH4dznz58/bwwZMsQjR58+fYz9+/db7ldcXGy8++67Rq1atUr2qVevnrF7926f1wIA4WbZsmWWw21btmwJOH/Tpk0te/xbb73lc769e/caCQkJboMSL7zwgulzP//8c6Nu3bolz73ooouMOXPmBLii4HEZhmEI8NOGDRvUv39/HTt2rCTWv39/DRw4UImJiUpLS9O8efO0cuXKksebNWumhQsXqk2bNj4fr1WrVtqxY4dHPCIiQunp6apbt67t1wAA4SIcenxqaqpuu+0203vMlaeYmBgdP35c1atXD+pxAKAihUOfLy9z587V8OHDPeL8OQzAqZzQ45csWaI777xTZ86cKYlVqlRJt99+u3r16qV69eopKytLa9as0RtvvKHs7OyS50ybNk2jRo3y+ZgAEC7Cuc8bhqHHHntMzzzzjIqLi0vi0dHR6tOnj66//npddtllio6OVlZWlr777jstXbpUO3fuLHlu9+7dtWDBgqD+DQEAoZSbm6ujR4/q008/1eOPP+72mvjX4uPjNXXqVCUlJemSSy5RlSpVfD5W37599b///c/0sQ0bNqhjx44+59y7d6+Sk5O1a9euklj37t01ePBgNWrUSMeOHdPChQv1/vvvlzyemJioN998U927d/f5eBUmtHMdcIKMjAzj9ttvL/ObvtWrVzcmTZpk5OXl+X2sd9991zR3oPdlrsg1AEA4sXuPHzp0aNCvVCHJuOWWW/xeFwDYmd37fHnhihUALkRO6PG7du0y+vXr59VrdpfLZSQnJ/PtZQAXjHDv85s3bzZ69+7t0/szLVq0MObOnWsUFhb6fVwAsLP//ve/Ab+XvXLlSp+OuW7dOtMrE/Xr1y+gteTk5BgPPvigx23+fvsTExNjPPTQQ8aPP/4Y0PEqAlesQLnZuXOn5syZoy+++EI//PCDcnNzVbt2bV1xxRXq27evhgwZUi7f9F2yZIkmTZqkHTt2KCEhQffdd5/GjRuniIiIsFkDAIQbJ/R4AIA1+jwAOJcTevzmzZu1aNEirVixQocOHdLJkycVGRmpOnXqqGXLlurWrZsGDhyoJk2aBHwsAAg34d7n9+3bp2XLlunTTz9VWlqaMjMzderUKcXGxqpWrVq67LLLlJSUpOuuu05JSUlyuVwBrwUA7Or06dM6cuRIQDkaNWqk2NhYn/ZZs2aNxo0bp40bN6pGjRoaPHiwpkyZopiYmIBqkaRDhw5p9uzZWrFihXbt2qWcnBzVqFFDLVu2VJ8+fTRs2DDFx8cHfJyKwGAFAAAAAAAAAAAAAACABb4WBAAAAAAAAAAAAAAAYIHBCgAAAAAAAAAAAAAAAAsMVgAAAAAAAAAAAAAAAFhgsAIAAAAAAAAAAAAAAMACgxUAAAAAAAAAAAAAAAAWGKwAAAAAAAAAAAAAAACwwGAFAAAAAAAAAAAAAACABQYrAAAAAAAAAAAAAAAALDBYAQAAAAAAAAAAAAAAYIHBCgAAAAAAAAAAAAAAAAsMVgAAAAAAAAAAAAAAAFhgsAIAAAAAAAAAAAAAAMACgxUAAAAAAAAAAAAAAAAWGKwAAAAAAAAAAAAAAACwwGAFAAAAAAAAAAAAAACABQYrAAAAAAAAAAAAAAAALDBYAQAAAAAAAAAAAAAAYIHBCgAAAAAAAAAAAAAAAAsMVgAAAAAAAAAAAAAAAFhgsAIAAAAAAAAAAAAAAMACgxUAAAAAAAAAAAAAAAAWGKwAAAAAAAAAAAAAAACwwGAFAAAAAAAAAAAAAACABQYrAAAAAAAAAAAAAAAALDBYAQAAAAAAAAAAAAAAYIHBCgAAAAAAAAAAAAAAAAsMVgAAAAAAAAAAAAAAAFhgsAIAAAAAAAAAAAAAAMACgxUAAAAAAAAAAAAAAAAWGKwAAAAAAAAAAAAAAACwwGAFAAAAAAAAAAAAAACABQYrAAAAAAAAAAAAAAAALDBYAQAAAAAAAAAAAAAAYIHBCgAAAAAAAAAAAAAAAAsMVgAAAAAAAAAAAAAAAFhgsAIAAAAAAAAAAAAAAMACgxUAAAAAAAAAAAAAAAAWGKwAAAAAAAAAAAAAAACwwGAFAAAAAAAAAAAAAACABQYrAAAAAAAAAAAAAAAALDBYAQAAAAAAAAAAAAAAYIHBCgAAAAAAAAAAAAAAAAv/H7g9VCOqQZR0AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 2100x2333.33 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    figsize=(7, 14 / 1.8), ncols=1, nrows=3, constrained_layout=True, dpi=300\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels_name = [\n",
    "    \"ModelA\\n8FSDP\",\n",
    "    \"ModelA\\n16FSDP\",\n",
    "    \"ModelB\\n8FSDP\",\n",
    "    \"ModelB\\n16FSDP\",\n",
    "    \"ModelC\\n8FSDP\",\n",
    "    \"ModelC\\n16FSDP\",\n",
    "    \"ModelD\\n8FSDP\",\n",
    "    \"ModelD\\n16FSDP\",\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# MFU\n",
    "data_a = {\n",
    "    labels_name[0]: [53, 53, 65],  # 22.64\n",
    "    labels_name[1]: [53, 53, 65],  # 22.64\n",
    "    labels_name[2]: [35, 35, 48],  # 37\n",
    "    labels_name[3]: [35, 35, 48],  # 37\n",
    "    labels_name[4]: [53, 53, 65],  # 22.64\n",
    "    labels_name[5]: [53, 53, 65],  # 22.64\n",
    "    labels_name[6]: [53, 53, 65],  # 22.64\n",
    "    labels_name[7]: [53, 53, 65],  # 22.64\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# overlapping rate\n",
    "data_b = {\n",
    "    labels_name[0]: [54, 62, 12],\n",
    "    labels_name[1]: [54, 62, 12],\n",
    "    labels_name[2]: [52, 62, 12],\n",
    "    labels_name[3]: [52, 62, 12],\n",
    "    labels_name[4]: [52, 62, 12],\n",
    "    labels_name[5]: [52, 62, 12],\n",
    "    labels_name[6]: [53, 62, 12],\n",
    "    labels_name[7]: [52, 62, 12],\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# communication baseline\n",
    "data_c = {\n",
    "    labels_name[0]: 70,\n",
    "    labels_name[1]: 70,\n",
    "    labels_name[2]: 70,\n",
    "    labels_name[3]: 70,\n",
    "    labels_name[4]: 70,\n",
    "    labels_name[5]: 70,\n",
    "    labels_name[6]: 70,\n",
    "    labels_name[7]: 70,\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_d = {\n",
    "    labels_name[0]: [124, 124, 128],  # 22.64\n",
    "    labels_name[1]: [124, 124, 128],  # 22.64\n",
    "    labels_name[2]: [124, 124, 128],  # 37\n",
    "    labels_name[3]: [124, 124, 128],  # 37\n",
    "    labels_name[4]: [124, 124, 128],  # 22.64\n",
    "    labels_name[5]: [124, 124, 128],  # 22.64\n",
    "    labels_name[6]: [124, 124, 128],  # 22.64\n",
    "    labels_name[7]: [124, 124, 128],  # 22.64\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "legend_labels = [\"FSDP\", \"XLA\", \"DLRover-Lynx\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "bar_width = 0.2\n",
    "group_spaing = 0.15\n",
    "\n",
    "group_positions = {}\n",
    "current_pos = 0\n",
    "\n",
    "for x_label, y_data in data_a.items():\n",
    "    group_positions[x_label] = []\n",
    "    for i in range(len(y_data)):\n",
    "        group_positions[x_label].append(current_pos)\n",
    "        current_pos += bar_width\n",
    "    current_pos += group_spaing\n",
    "\n",
    "group_centers = {}\n",
    "for x_label, positions in group_positions.items():\n",
    "    group_centers[x_label] = sum(positions) / len(positions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '(a)')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "label_set = set()\n",
    "for x_label, y_data in data_a.items():\n",
    "    positions = group_positions[x_label]\n",
    "    for i, (pos, value, color, edgecolor, hatch, label) in enumerate(\n",
    "        zip(\n",
    "            positions,\n",
    "            y_data,\n",
    "            colors,\n",
    "            edgecolors,\n",
    "            hatches,\n",
    "            legend_labels,\n",
    "        )\n",
    "    ):\n",
    "        if label in label_set:\n",
    "            local_label = None\n",
    "        else:\n",
    "            local_label = label\n",
    "            label_set.add(local_label)\n",
    "        ax[0].bar(\n",
    "            pos,\n",
    "            value,\n",
    "            width=bar_width,\n",
    "            color=color,\n",
    "            label=local_label,\n",
    "            hatch=hatch,\n",
    "            edgecolor=edgecolor,\n",
    "        )\n",
    "\n",
    "ax[0].set_xticks(list(group_centers.values()))\n",
    "ax[0].set_xticklabels(list(data_a.keys()))\n",
    "\n",
    "ax[0].set_ylim(0, 100)\n",
    "ax[0].set_yticks([0, 50, 100])\n",
    "ax[0].set_yticklabels([\"0\", \"50\", \"100\"], rotation=90, ha=\"center\", va=\"center\")\n",
    "\n",
    "ax[0].tick_params(axis=\"x\", bottom=False, labelsize=11, pad=1)\n",
    "ax[0].tick_params(axis=\"y\", left=True, labelsize=g_label_fontsize, pad=5)\n",
    "\n",
    "ax[0].set_ylabel(\"MFU (%)\", fontsize=g_label_fontsize)\n",
    "ax[0].set_title(\"(a)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '(b)')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "label_set = set()\n",
    "total_label = \"Non-Overlap Communication\"\n",
    "\n",
    "for x_label, y_data in data_b.items():\n",
    "    positions = group_positions[x_label]\n",
    "    for i, (pos, value, diff_value, color, edgecolor, label, hatch) in enumerate(\n",
    "        zip(\n",
    "            positions,\n",
    "            y_data,\n",
    "            list(data_c.values()),\n",
    "            colors,\n",
    "            edgecolors,\n",
    "            legend_labels,\n",
    "            hatches,\n",
    "        )\n",
    "    ):\n",
    "        if label in label_set:\n",
    "            local_label = None\n",
    "        else:\n",
    "            local_label = label\n",
    "            label_set.add(local_label)\n",
    "\n",
    "        ax[1].bar(\n",
    "            pos,\n",
    "            value,\n",
    "            width=bar_width,\n",
    "            color=color,\n",
    "            edgecolor=edgecolor,\n",
    "            hatch=hatch,\n",
    "            #label=local_label,\n",
    "        )\n",
    "\n",
    "        ax[1].bar(\n",
    "            pos,\n",
    "            diff_value - value,\n",
    "            bottom=value,\n",
    "            color=\"#E3E3E3\",\n",
    "            edgecolor=edgecolor,\n",
    "            width=bar_width,\n",
    "            label=total_label,\n",
    "        )\n",
    "        if total_label is not None:\n",
    "            total_label = None\n",
    "\n",
    "ax[1].set_xticks(list(group_centers.values()))\n",
    "ax[1].set_xticklabels(list(data_a.keys()))\n",
    "\n",
    "ax[1].set_ylim(0, 100)\n",
    "ax[1].set_yticks([0, 50, 100])\n",
    "ax[1].set_yticklabels([\"0\", \"50\", \"100\"], rotation=90, ha=\"center\", va=\"center\")\n",
    "\n",
    "ax[1].tick_params(axis=\"x\", bottom=False, labelsize=11, pad=1)\n",
    "ax[1].tick_params(axis=\"y\", left=True, labelsize=g_label_fontsize, pad=5)\n",
    "\n",
    "ax[1].set_ylabel(\"Comm-Comp Overlap Ratio (%)\", fontsize=g_label_fontsize)\n",
    "ax[1].set_title(\"(b)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '(c)')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for x_label, y_data in data_d.items():\n",
    "    positions = group_positions[x_label]\n",
    "    for i, (pos, value, color, edgecolor, hatch) in enumerate(\n",
    "        zip(\n",
    "            positions,\n",
    "            y_data,\n",
    "            colors,\n",
    "            edgecolors,\n",
    "            hatches,\n",
    "        )\n",
    "    ):\n",
    "        ax[2].bar(\n",
    "            pos,\n",
    "            value,\n",
    "            width=bar_width,\n",
    "            color=color,\n",
    "            edgecolor=edgecolor,\n",
    "            hatch=hatch,\n",
    "            label=local_label,\n",
    "        )\n",
    "\n",
    "\n",
    "ax[2].set_xticks(list(group_centers.values()))\n",
    "ax[2].set_xticklabels(list(data_a.keys()))\n",
    "\n",
    "ax[2].set_ylim(0, 150)\n",
    "ax[2].set_yticks([0, 50, 100])\n",
    "ax[2].set_yticklabels([\"0\", \"50\", \"100\"], rotation=90, ha=\"center\", va=\"center\")\n",
    "\n",
    "ax[2].tick_params(axis=\"x\", bottom=False, labelsize=11, pad=1)\n",
    "ax[2].tick_params(axis=\"y\", left=True, labelsize=g_label_fontsize, pad=5)\n",
    "\n",
    "ax[2].set_ylabel(\"Throughput (tokens/s)\", fontsize=g_label_fontsize)\n",
    "ax[2].set_title(\"(c)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f4040f45e20>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax[0].legend(\n",
    "    ncol=3,\n",
    "    loc=\"upper center\",\n",
    "    frameon=False,\n",
    "    shadow=False,\n",
    "    fontsize=g_label_fontsize,\n",
    ")\n",
    "\n",
    "ax[1].legend(\n",
    "    ncol=1,\n",
    "    loc=\"upper center\",\n",
    "    frameon=False,\n",
    "    shadow=False,\n",
    "    fontsize=g_label_fontsize,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
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0VWuvSwEiji05B9xgSz7og4CZLTkH3GBLPuiDgJktOQfcYEs+6IOAmS05B+Ae3w5W5KRixYqaMWOGLr74Ym3atEm33nqrSpUqpfbt20uSPvjgA91///1KTk6WpJOGKipWrKhPP/1U7dq186T+UNq6dauuueaazKGKjOGGiy66SDfddJMuu+wy1a1bt0BrBAIBlS5dWqVLl1a1atVy/JkDBw5o3rx5mjJliiZNmqQtW7Zk1jNv3jz16dNHo0ePLlAdCC9bNhczflrMFwjAwJacA26wJR/0QcDMlpwDbrAlH/RBwMyWnANusCUf9EHAzJacA3BHlNcFhFrVqlU1c+ZMxcfHKyUlRdddd51mzpypu+66S3fffbeSk5MzT07I4DiOWrZsqSVLllgxVCFJd911l7Zv3575OW+77TatXLlSc+fOVd++fQs8VJFXpUuX1uWXX6433nhDGzdu1Jdffql69epJOv73/uGHH2r27NlhqQWhwz3HAPuRc8CMfAD2I+eAGfkA7EfOATPyAdiPnAMwsW6wQpJq1aql6dOnq1y5ckpKSlKHDh00ZsyYk279IR3/l/sPP/ywfvjhB1WpUiXX6w4ZMkS7du1ys/SQmDNnjqZOnapAIKCKFStq1qxZGjdunM455xxP6woEArruuuu0ZMkS3XPPPZKO//0/8sgjntaF/GFzAdiPnANm5AOwHzkHzMgHYD9yDpiRD8B+5BxATqwcrJCkhg0b6t///rdKlCghSScNVTiOo9KlS+urr77S8OHDFR0dnev1HMfRc889px07drhadyi89dZbko6fFvHjjz+qTZs23hZ0giJFiuitt95S9+7dJUnLli3TjBkzPK4K+cHmArAfOQfMyAdgP3IOmJEPwH7kHDAjH4D9yDmAE1k7WCFJzZs316RJk1S0aNGThioaNWqkRYsW6dprr83TtXbt2iXHcVyqNHTS09MzT6t4+umnVadOHa9LMho1apQqV64sSZowYYLH1SC/2FwA9iPngBn5AOxHzgEz8gHYj5wDZuQDsB85B5CV1YMVknTZZZfps88+U1TU8Y/qOI7uvPNO/fzzz6pZs2aer5OQkHDSbUQi0bp163TkyBFJ0vXXX+9xNbkrUaKE7rnnHjmOo7lz53pdDgqAzQVgP3IOmJEPwH7kHDAjH4D9yDlgRj4A+5FzABmsH6yQpGuvvVYffvih4uLiNG7cOL333nsqVqxYnn9/1qxZ6tOnj4sVhs6ePXsy/3zmmWd6WEneNG/eXJK0ZcsWjytBQbG5AOxHzgEz8gHYj5wDZuQDsB85B8zIB2A/cg5AkmK8WLRt27ZeLKuaNWtqzJgxGjNmzCl/9tixYzpw4IA2bdqk/fv3y3EcX5xYUbp06cw/79q1S5UqVfKwmlNLTU2VJF/cZgWnNnFagqTjm4msMp5nvA/Av8g5YEY+APuRc8CMfAD2I+eAGfkA7EfOAXgyWDF37lylp6d7sXRQ/Pgv+6tXr66iRYsqNTVVkydPVu/evb0uKVcZtwCpXLmyx5UgVNhcAPYj54AZ+QDsR84BM/IB2I+cA2bkA7AfOQcKN09uBXL11VdnDi04jhOxD0kKBAK+OKkiQ2xsrFq2bCnHcTRw4EDt2rXL65KM/v77b7377rsKBAKZtwSBHTgWC7AfOQfMyAdgP3IOmJEPwH7kHDAjH4D9yDlQeHkyWHH//fdn/jljcCFSH3501113SZJ27Nihdu3aKTEx0eOKTrZz50516tRJ+/btkyRdf/313haEkGNzAdiPnANm5AOwHzkHzMgHYD9yDpiRD8B+5BwonDwZrGjTpo0aNGiQ43ten1KR06kVftO1a9fMv99ly5bpvPPO09ixYyPm84wfP17nn3++fvvtNwUCAdWpU0dXX32112XBBWwuAPuRc8CMfAD2I+eAGfkA7EfOATPyAdiPnAOFT4xXC/fp00d9+/ZVIBDI/Bf+NWvWVPXq1VWqVCkVL15cRYoUUXR0tCcnR6SkpGjPnj1auXKlNm3aFPb1CyI6Olrvv/++LrnkEqWlpWnfvn3q1auXBg0apPvvv1+dO3dW9erVw1rTqlWr9NVXX+mjjz7SX3/9lfmfeVRUlN566y3fng6CU+OeY4D9yDlgRj4A+5FzwIx8APYj54AZ+QDsR86BwsWzwYpu3brpqaee0sGDB3XWWWdp0qRJOu+887wqJ1ezZ8/W9ddfr/3793tdSp41b95cI0eO1L333ps5vLJ+/Xo98sgjeuSRR9SgQQO1bNlSjRs3VsOGDVW9enVVrlw5JAMOjuNo5cqVWrRokRYtWqTp06frzz//zHxPUuY6AwcO1KWXXlrgNRHZ2FwA+dOpbTN9OnmO12XkCTkHzMgHkD/0QcAO5APIH/ogYAfyAeQPfRBAJPJssCIuLk7du3fXm2++qQceeCBihyokqW3btho4cKAeeughr0sJSu/evbVlyxYNHTo0c5AhY7Bh+fLlWrFiRbafj46OVqVKlVS1alVVrVpVlSpVUokSJVSiRAnFxsZm/lOSkpOTMx+HDh3S1q1blZiYqC1btmjTpk1KTk7OvG7WW5BkrePRRx/VM8884+rfASIHmwsgeN27tFPy0RTf5IOcA2bkAwgefRCwB/kAgkcfBOxBPoDg0QcBRCLPBiskqW/fvnrzzTez/Yv3SNWhQwevS8iXwYMHq1q1aurbt6/S0tKyDTac+Pd+7NgxbdmyRYmJiZo/f36+1svpP8usp2A4jqMiRYrolVde0X333ZevNeBfbC6A4PktH+QcMCMfQPD8lg9yDpiRDyB4fssHOQfMyAcQPL/lg5wD9ovycvE6deqoXbt2+u6777wsI09q1KjhiwGQnNx111368ccfVb9+/Wy34jA9MoYu8vPI6XoZHMfReeedp4SEBIYqCrGJ0xL07vgpJ73e+5aO6nL5RR5UBEQ+v+WDnANm5AMInt/yQc4BM/IBBM9v+SDngBn5AILnt3yQc8Bunp5YIUnPP/+8Dh8+7HUZp1SsWDH16NFD5cqV87qUfGnevLmWLFmi4cOH65VXXtHu3buzDT1kZXo9vxzHUdWqVfX444/r3nvvVXR0dEivD/9hchMInt/ycaqcL1i6Ouw1AZGCPggEz2/5oA8CZvRBIHh+ywd9EDCjDwLB81s+6IOAvTwfrGjevLnXJeTZmDFjvC6hQGJiYvTkk0+qX79+evvtt/XWW29p/fr1kkI7TJH1ZI969erpscce02233aaYGM//zw0RhC8RQPD8lo/ccl6mVJwXJQERgz4IBM9v+aAPAmb0QSB4fssHfRAwow8CwfNbPuiDgJ08vRUIvFGiRAk98sgj+uuvv/Tzzz/rgQceUJ06dSTppFt7nEpOtwNp1KiRnn32WS1cuFArVqxQjx49GKpAjjgWC8jd2IkzT3rNb/kw5fymq1p7UA0QWeiDQO7og4Dd6INA7uiDgN3og0Du6IMAIpH1/7Z748aN+umnn7Rlyxbt2rVLBw4cUKlSpXTaaaepfv36aty4sapVq+Z1mZ5p1qyZmjVrptdee0179uzRzz//rKVLl2r9+vXasGGDtmzZogMHDujIkSM6cuSIHMdRyZIlVapUKZUqVUrlypXTOeecowYNGqhBgwY6//zzFR8f7/XHgo8woQ2YfTd7vpKPpvg+H6acA6APArmhDwL2ow8CZvRBwH70QcCMPgggElk5WJGYmKiRI0fq888/16ZNm07583Xq1NE111yjXr16ZZ7cUBiVL19eV155pa688kqvS0Ehw5cIwMyWfPAlAjCzJeeAG2zJB30QMLMl54AbbMkHfRAwsyXngBtsyQd9ELCHVbcC2bNnj3r27KmaNWtq2LBh2rhxY463qjjxsXr1ag0bNkz16tXTP/7xD/3yyy9efxSg0OH4O8DMlnyYPgcAe3IOuMGWfNAHATNbcg64wZZ80AcBM1tyDrjBlnzQBwE7WDNY8dVXX6lBgwYaN26cUlNT5TiOAoFAnh8ZQxazZs3SRRddpK5du2rPnj1efyygULFlkwS4wZZ88CUCMLMl54AbbMkHfRAwsyXngBtsyQd9EDCzJeeAG2zJB30Q8D8rBisGDBigG264Qdu3b882UCFJjuPk6Ron/s7EiRN1/vnnc3oFEGa2bJIAN9iSj4nTEvSvb3/wugwgItmSc8ANtuSDPgiY2ZJzwA225IM+CJjZknPADbbkgz4I+JvvByuefPJJvfDCCycNVGTIOiyRl0fWayQmJqp9+/b68ccfw/65IkFSUpI2bNigZcuWaeHChUpISNCvv/6qP/74Q+vXr9fevXu9LhGWsmWTBLjBlnzM+Gmx1yUAEcuWnANusCUf9EHAzJacA26wJR/0QcDMlpwDbrAlH/RBwL9ivC6gIMaOHauXX345x4GKrCdVlChRQg0bNtQ555yjMmXKqHTp0ipTpoyio6N1+PBhHT58WNu2bdOqVau0atUq7du3T9LxoYxDhw7p6quv1pIlS3TWWWeF8+OFjeM4Wrx4sebOnavFixfrjz/+0Jo1a3To0KFT/m5cXJyqVaumGjVq6MILL1Tz5s3VvHlzlStXLgyVw2YTpyVIOr4pyirjecb7QGFEPgD7kXPAjHwA9iPngBn5AOxHzgEz8gHAS74drNi6davuv/9+40BFixYtdPvtt6tNmzY655xzTvo5E8dxlJCQoM8//1zvv/++UlNTdeDAAd14442aP39+nq/jBzNnztRnn32mSZMmZQ6TSHm/fYokHTp0SH/88YdWrlypqVOnSjo+kNKiRQvdeOONuv7661WpUqVQl45Cgk0SYEY+APuRc8CMfAD2I+eAGfkA7EfOATPyAcArvr0VyIABA7KdqJBxG4/evXtrzZo1SkhI0D333KO6desGNQwRCAR08cUXa+TIkVqxYoWaNm0qSVq0aJHGjRsX8s8Rbo7jaPTo0apfv746dOigjz76SHv37s12OxRJmaeA5OWRcd2MR3p6uubNm6cHHnhA1apV0+23367ly5d7+bHhY7Yc7wW4gXwA9iPngBn5AOxHzgEz8gHYj5wDZuQDgBd8eWLF7t279emnn2b7l/rNmjXTqFGjdMEFF4RsnbPPPluzZs1Su3bt9Msvv2jw4MHq3r17yK4fbrNnz1a/fv20cuXKbKdSmAZP8nJyRU63Ycn6u8eOHdP48eM1fvx4de3aVa+99lrmCRY7duzQzp07g/oMa9euDernYQcmUAEz8gHYj5wDZuQDsB85B8zIB2A/cg6YkQ8A4ebLwYqvv/5aKSkpmf9C/7bbbtOYMWMUExP6j1OiRAl98sknOu+887R+/XrNnTtXrVq1Cvk6bkpJSdFjjz2mUaNGZZ4qkZdTPApy25Osv5sxZPHFF19o2rRpev3119W9e3e99dZbev755/O9BgoXNkmAGfkA7EfOATPyAdiPnANm5AOwHzkHzMgHgHDy5a1AZs+enfnnjh07aty4ca4MVWSoWbOmrrvuOknSt99+69o6bti1a5cuvfRSvfnmm0pPT5d08sBE1tt4hOqRVcapFo7jaP/+/erVq5ceeeSRPJ2IAWTF8V6AGfkA7EfOATPyAdiPnANm5AOwHzkHzMgHgHDx5YkVy5cvl3T8NIkPP/wwLGt26NBBn376qRYuXBiW9UJhx44datu2beatP7LeOiVDmTJlVK9ePdWvX181a9ZUfHy8Tj/9dFWsWFHFihXLfERHRystLU3p6elKTk7W0aNHdejQIR04cED79u3Tzp07tX37dm3evFkbNmzQmjVrtGfPnmz1ZF3/9ddf14UXXhi+vwxYgwlUwIx8APYj54AZ+QDsR84BM/IB2I+cA2bkA0A4+HKwYvPmzQoEArr++utVoUKFsKxZpUoVSdKaNWvCsl5BpaSk6JprrtEff/yR7cSI2NhYdezYUZdddpkuvfRSnXPOOa7VsHXrVi1evFg//fSTpkyZkjkQk1HLokWL9PTTT+uWW27J8zXXrl2ra6+91qWK4RdskgAz8gHYj5wDZuQDsB85B8zIB2A/cg6YkQ8AbvPlYMXhw4clSZdeemnY1kxKSpIk7d27N2xrFkT//v01f/78zCGGs846S0888YRuvvlmlSpVKiw1VKlSRVWqVFGnTp304osvau3atXrjjTf0wQcfKDk5OfPkijvuuEM1a9YMS02wB5skwIx8APYj54AZ+QDsR84BM/IB2I+cA2bkA4CborwuID9iY2MlSVWrVg3bmosWLZIkpaWlhW3N/FqzZo1ef/11BQIBRUVFaeDAgVq9erXuvvvusA1V5KRWrVp64403tHTp0szbgCQnJ+uhhx7yrCb4G/dOA8zIB2A/cg6YkQ/AfuQcMCMfgP3IOWBGPgC4xZeDFRUrVpQkHTlyJCzrpaen69NPP5UkTwcT8mrEiBFKS0tTVFSUPvvsMz377LOKiYmcw0lq1aqlOXPm6P/+7//kOI6+++47/fHHH16XBZ9ikwSYkQ/AfuQcMCMfgP3IOWBGPgD7kXPAjHwAcIMvBysaNWokSfrll1/Cst5rr72mNWvWKBAI6Oyzzw7LmgUxceJEBQIB3X333br++uu9LidHcXFx+vzzz1W8eHFJ0rhx4zyuCH7GJgkwIx+A/cg5YEY+APuRc8CMfAD2I+eAGfkAEGq+HKy45JJL5DiOxo4dq5SUFFfX+uabb/TUU08pEAhIUuYtLCLVli1btH37dknSXXfd5XE1uatRo4Z69uwpx3E0c+ZMr8tBDjq1beZ1CXnGJgkwIx9A/tAHATuQDyB/6IOAHcgHkD/0QcAO5ANAKPlysKJr166KiorS1q1bNWTIENfWGTZsmG644QalpaXJcRxJUseOHV1bLxS2bduW+ef69et7WEneXH755ZKk9evXe1wJctK9SztfbS7YJAFm5AMIHn0QsAf5AIJHHwTsQT6A4NEHAXuQDwCh4svBikqVKum6666T4zh64YUX9MYbb4T0+jNmzFDTpk315JNPKjU1NfP1M844Q1dccUVI1wq1YsWKZf45KSnJw0rypkSJEpKkI0eOeFwJTPy2uWCTBJiRDyB4fssHOQfMyAcQPL/lg5wDZuQDCJ7f8kHOATPyASAUfDlYIUnPP/+8oqOj5TiOHnroIXXs2FFLlizJ9/V27dqlDz74QI0aNdLll1+uRYsWyXEcBQKBzH8+/fTTioqK7L+yqlWrZt625Mcff/S4mlNbunSpJKlChQoeV4Lc+G1zwSYJMCMfQPD8lg9yDpiRDyB4fssHOQfMyAcQPL/lg5wDZuQDQEHFeF1AftWrV0/9+/fXoEGDFAgENH36dE2fPl0XXHCBrrnmGjVv3lx169ZVlSpVsg1DOI6jAwcOaP369frjjz+0YsUKzZ49WwsXLpTjOJm3/JCUbaiiWbNm6t27txcfNSjlypXTueeeq99//12DBg3SlVdeGbHDICkpKXr33XcVCATUuHFjr8vBKfS+5fhtcCZOS/C4krzJqDOj7gwZzxcsXR32moBIcap8+CXnQDj5LR/0QcCMPggEz2/5oA8CZvRBIHh+ywd9EDCjDwIoCN8OVkjSgAED9Msvv+g///lP5hDEokWLtHjx4syfCQQCio2NVbFixZSUlKTk5OQcr3XiQEVWlSpV0oQJE056PVLddttteuKJJ7R48WJ1795dY8eOjcjhirvvvltr1qxRIBBQx44dT/0L8JzfNhe5bZLKlIrzoiQgYvAlAgie3/JBHwTM6INA8PyWD/ogYEYfBILnt3zQBwEz+iCA/Iq8f9sehOjoaE2aNEnt2rXLPFkiY8Ai45Genq7Dhw9rz549SkpKyvZe1kfG72YdnnAcR5UqVdKsWbN0xhlnePhJg3P33XfrtNNOkySNHz9eF110kdauXetxVf+zYcMGtW/fXh9//LEkqUyZMrrttts8rgo5GTtx5kmv+e1YLNPxXjdd1dqDaoDIwvF3QO7og4Dd6INA7uiDgN3og0Du6IOA3eiDAPLD14MVklS8eHFNnTpVjz32WOZrWYck8vo4keM4atGihX799VfVrVs3nB+pwMqUKaNhw4ZlnsIxf/58NWjQQD169NCSJUs8q2vevHm64447VK9ePc2aNStzoGXo0KEqWbKkZ3XB7LvZ863YXJg2SQD4EgHkhj4I2I8+CJjRBwH70QcBM/ogYD/6IIBg+X6wQjp+csVLL72kn376SU2aNMk8hSInWU+pML1fsmRJjRgxQj/99JOqVKniZumu6dGjh3r06JE5vJCamqqPP/5YTZo0Uc2aNdWvXz/961//0urVq41/FwW1efNmTZo0Sffee6+qVKmiVq1a6aOPPtLRo0cz67r66qt17733urI+QsOWzQVfIgAzW3IOuMGWfNAHATNbcg64wZZ80AcBM1tyDrjBlnzQBwEzW3IOIDxivC4glFq0aKH58+fru+++04gRIzRr1qzM9zJOpTjxdIqsQwUVKlTQHXfcoX79+qly5crhKdpF7733njZv3qxZs2Zl3iJFOn4rjlGjRmnUqFGSpGLFiqlq1aonPSpVqqQSJUqoRIkSio2NzfynJCUnJ2c+Dh06pK1btyoxMVFbtmzR+vXrtXjxYu3evTuzlqx/zxm1tGrVSp9++mkY/0aQX7bcc8z0OQDYk3PADbbkgz4ImNmSc8ANtuSDPgiY2ZJzwA225IM+CJjZknMA7rNqsCJDp06d1KlTJ23ZskWTJ0/W7NmztWTJEm3YsCHbz8XGxqpOnTpq1aqV2rRpo06dOqlo0aLeFO2CmJgY/fvf/1avXr00fvz4bEMlWQcdkpOTtXbtWv31118hW/vEUzBOXPu6667TJ598ouLFi4dsTbjLls0FXyIAM1tyDrjBlnzQBwEzW3IOuMGWfNAHATNbcg64wZZ80AcBM1tyDsBdVg5WZKhatar69u2rvn37SpKOHTum/fv3KyUlReXKlSsU/1K/aNGi+uSTT9S4cWM9++yzSkpKUiAQOOnkDunkYYiCMF0/NjZW//znP9WvX7+QrYXwsWVzMXFagsqUitNNV7X2uhQg4tiSc8ANtuSDPgiY2ZJzwA225IM+CJjZknPADbbkgz4ImNmScwDuifK6gHCKiYnRaaedpsqVKxeKoYqsHnnkES1btkzt27eX4zg5DlFkDFyE4pFVxlrXXXed/vjjD4YqfM6We47N+Gmx1yUAEcuWnANusCUf9EHAzJacA26wJR/0QcDMlpwDbrAlH/RBwMyWnANwR6EarMirSZMmafFi+zYXZ599tqZNm6Z58+bpyiuvzBywyO2kiqw/k9PjVL8XExOjbt266ffff9eXX36p6tWru/HREGZsLgD7kXPAjHwA9iPngBn5AOxHzgEz8gHYj5wDMPHlYMXy5cvVtm1bXXbZZa5cf+XKlWrSpIk6deqkNWvWuLKGl5o3b65vv/1W69ev1wsvvKDzzz/fODCR15Mpsv5uVFSULrnkEg0bNkzr1q3TRx99pPr163vxUeEiNheA/cg5YEY+APuRc8CMfAD2I+eAGfkA7EfOAeQkxusC8mP//v36/vvvT7rlRKg89dRTOu+883T99dfrwgsv1NixY9W5c2dX1vJS9erV9eSTT+rJJ5/U9u3bNW/ePM2bN09Lly7V+vXrtXnzZqWkpOR6jUAgoLPOOksNGjRQgwYNdP7556t9+/YqV65cmD4FvMQ9xwD7kXPAjHwA9iPngBn5AOxHzgEz8gHYj5wDOJEvByvCoVOnTnrmmWf07LPP6qabbtI333yjDh06eF2Wa+Lj49W5c+dsAySO42jHjh06cOCAjhw5oiNHjshxHJUsWVKlSpVSqVKlVKZMGRUpUsTDyuE1NheA/cg5YEY+APuRc8CMfAD2I+eAGfkA7EfOAWTFYEUuevTooWeffVapqanq3r27Vq1apbJly3pdVtgEAgHFx8crPj7e61IQ4dhcAPYj54AZ+QDsR84BM/IB2I+cA2bkA7AfOQeQIcrrAiJZyZIlJR0fMNi5c6feeOMNjysCIhf3HAPsR84BM/IB2I+cA2bkA7AfOQfMyAdgP3IOQGKwIldff/115p8dx9HEiRM9rAaIfGwuAPuRc8CMfAD2I+eAGfkA7EfOATPyAdiPnAPgViA52LVrlyZOnKjHHntMgUAg8/W1a9d6WBXgDxyLBdiPnANm5AOwHzkHzMgHYD9yDpiRD8B+5Bwo3CJqsGLEiBEaMWLEKX/u6NGjmX+uWbNmyNZPS0vTwYMHtX//fknHT6nIOlhRpkyZkK0F2IzNBWA/cg6YkQ/AfuQcMCMfgP3IOWBGPgD7kXOg8IqowYrrrrtOiYmJGjt2rHbu3HnKn3ccRxs2bHCtnoyhiowBi+bNm7u2FmAbNheA/cg5YEY+APuRc8CMfAD2I+eAGfkA7EfOgcIpyusCsjrzzDP18ssva/PmzRozZozq168v6fiAw4mPDDm9F6rHiR544IGw/V0ANuCeY4D9yDlgRj4A+5FzwIx8APYj54AZ+QDsR86BwieiBisyFC1aVD169NDvv/+ukSNHKjY21rNaHMeRJD355JNq3bq1Z3UAfsXmArAfOQfMyAdgP3IOmJEPwH7kHDAjH4D9yDlQuETkYEWGQCCgvn37asmSJbrwwgszhxwy/pnxZzcflSpV0kcffaShQ4d69ddgvblz5yopKcnrMuAiNhdA/nRq28zrEvKMnANm5APIH/ogYAfyAeQPfRCwA/kA8oc+CCASxXhdQF7Url1bP/74o2644Qb9+9//ViAQkOM4CgQCevbZZ0O6VnR0tGJjY1WpUiXVrVtXjRs3VlRURM+f+F6bNm30+++/Z976BXbinmNA8Lp3aafkoym+yQc5B8zIBxA8+iBgD/IBBI8+CNiDfADBow8CiES+GKyQpOLFi2vSpEm6/fbb9a9//Svz9eeee87DqlBQSUlJ2U4ggd3YXADB81s+yDlgRj6A4PktH+QcMCMfQPD8lg9yDpiRDyB4fssHOQfs56ujGKKjozVu3DhdeumlXpeCEElMTFQgEPC6DIQRx2IBwfNbPsg5YEY+gOD5LR/kHDAjH0Dw/JYPcg6YkQ8geH7LBzkH7OabEysyxMTE6LPPPlP9+vW1d+9er8tBAf34449elwAPMLkJBM9v+ThVzhcsXR32moBIQR8Egue3fNAHATP6IBA8v+WDPgiY0QeB4PktH/RBwF6+G6yQpNNPP12DBw9W3759vS4FBbB8+XI9/fTTXpcBj/AlAgie3/KRW87LlIrzoiQgYtAHgeD5LR/0QcCMPggEz2/5oA8CZvRBIHh+ywd9ELCTLwcrJOnOO+9U/fr1vS4j4ixatEijRo3yuowcpaenKyUlRQcOHFBiYqKWL1+utLQ0bgVSiPElAsjd2Ikz1b1Lu2yv+S0fppzfdFVrL8oBIgp9EMgdfRCwG30QyB19ELAbfRDIHX0QQCTy7WBFkSJF1Lo1/8/nRIcOHdJHH30U8cMKjuN4XQIiBF8iALPvZs9X8tEU3+fDlHMA9EEgN/RBwH70QcCMPgjYjz4ImNEHAUSiKC8WHT16tB544AEvlg67ffv26eabb9batWvDsl7r1q3VpEkTOY4T0Q9JET/8gfCZOC1B746fctLrvW/pqC6XX+RBRUDksCUfps8BwJ6cA26wJR/0QcDMlpwDbrAlH/RBwMyWnANusCUf9EHAHp4MVlx00UUaNWqUxo4d68XyYdWrVy9t375dtWrVCtuazz//vKTjgwuR/ACysmWTBLjBlnzwJQIwsyXngBtsyQd9EDCzJeeAG2zJB30QMLMl54AbbMkHfRCwgyeDFfXq1dPtt9+uhx9+WOvXr/eihLAYNGiQvv32W73yyithXfeKK65Q8+bNM0+GMN12w8vTKoCc2LJJAtxgSz74EgGY2ZJzwA225IM+CJjZknPADbbkgz4ImNmSc8ANtuSDPgj4X4xXC7/88suaPHmyrr76av38888qWbKkV6W44sMPP9Tzzz+vBx98UI0bNw77+oMGDVL79u0l/e+WG47jKBAI6PTTT1f58uUVGxur4sWLKyoqStHR0a7XdOzYMaWmpurgwYPaunWr9u/f7/qa8B/uLQiY2ZKPidMSVKZUnG66qrXXpQARx5acA26wJR/0QcDMlpwDbrAlH/RBwMyWnANusCUf9EHA3zwbrKhYsaJee+019ezZU5dffrmmTJmi0qVLe1VOSI0bN0533XWXatWqpaFDh3pSQ7t27dSqVSvNnTtXknTaaadp5MiRuvrqq1WiRAlPajrRtGnTdOONN+rQoUNel4IIY8smCXCDLfmY8dNivkAABrbkHHCDLfmgDwJmtuQccIMt+aAPAma25Bxwgy35oA8C/uXJrUAydO/eXTfddJPmzZuntm3bauvWrV6WExJDhgxRz549mFmaDQAAt5VJREFUVaxYMX3xxRcqXry4Z7UMGjRI0vETK1599VXddNNNETNUIUmXX365hgwZ4nUZiFC2HO8FuIF8APYj54AZ+QDsR84BM/IB2I+cA2bkA4CXPB2skKTRo0ercePGWrx4sc4//3xNmeLP+wslJiaqXbt2eu655yRJb7/9ts4//3xPa2rdurXatm0rSWrQoIGntZh06NDB6xIQwdgkAWbkA7AfOQfMyAdgP3IOmJEPwH7kHDAjHwC84vlgRYkSJfTtt9+qevXq2r17t6666irdeOON2rRpk9el5Ul6erpGjx6thg0bas6cOXIcR4MHD1a3bt28Lk3S8VMrHMfRqlWrvC4lR2eccYbXJSDCsUkCzMgHYD9yDpiRD8B+5BwwIx+A/cg5YEY+AHjB88EKSapSpYq+//57Va9eXY7j6Msvv1S9evXUp08f/fnnn16XZ/TFF1+ofv366t27t/bu3SvHcdS/f389/fTTXpeWqWXLlmrfvr0mTJjgdSk5iouLk+M4XpeBCMcmCTAjH4D9yDlgRj4A+5FzwIx8APYj54AZ+QAQbhExWCFJ1atX19y5c3XeeefJcRwlJSXp3XffVf369XXZZZfp/fff1549e7wuU0uWLNGzzz6rGjVq6Oabb9aaNWvkOI6ioqL0xhtvaPDgwV6XeJJBgwYpISFBR44c8bqUHI0dO1ZVq1b1ugxEODZJgBn5AOxHzgEz8gHYj5wDZuQDsB85B8zIB4BwivG6gKyqVq2qhIQE3XLLLfruu+8kHb/Vxvfff6/vv/9effv21QUXXKBLL71UrVu31gUXXKDTTz/dtXqOHj2qpUuXauHChUpISND333+v7du3S1K2Uxbi4uI0btw4de7c2bVaCqJp06bavHmzihUr5nUpObr99tu9LgE+MXFagqTjm6KsMp5nvA8URuQDsB85B8zIB2A/cg6YkQ/AfuQcMCMfAMIlogYrJKlkyZL65ptv9Oqrr+qpp57SsWPHJB0fZDh27JgWLFighQsX6uWXX5YkxcfHq2HDhjr77LN11llnqUaNGjr99NNVoUIFnXbaaSpRooSKFi2qokWLKhAI6NixY0pNTdXRo0e1f/9+7du3T/v27dPff/+txMREbdmyRWvXrtXKlSu1ceNGpaenZ9aWdZgiEAjIcRxdeOGFGj9+vGrXrh3ev6ggRepQBRAsNkmAGfkA7EfOATPyAdiPnANm5AOwHzkHzMgHgHCIuMGKDA8//LD+8Y9/6K677tKCBQsUCAQkHR9uyDrgsG3bNm3fvl0zZswI6fpZ18iQtYaYmBg98sgjGjRokGJiIvavEbASmyTAjHwA9iPngBn5AOxHzgEz8gHYj5wDZuQDgNuivC4gN+edd55+/vlnvfXWW6pYsaIcx1EgEDjpkTFsEcpHbut07NhRv//+u1544QWGKgCPcO80wIx8APYj54AZ+QDsR84BM/IB2I+cA2bkA4CbInqwQjp+SsQ999yjv/76S88//7xOO+20k06tyGkIoqCPrDLWu+yyyzRjxgx99913qlOnTrj/KgCcgE0SYEY+APuRc8CMfAD2I+eAGfkA7EfOATPyAcAtET9YkSEuLk4DBgzQxo0b9eabb6pRo0bZTpgwOdXJFKf6vRIlSqhbt2767bffNGPGDF122WVufDwA+cQmCTAjH4D9yDlgRj4A+5FzwIx8APYj54AZ+QDgBt/dxyI2NlZ9+vRRnz599Ntvv+nLL7/UN998o+XLl2f7uYxTJ048fSInJw5YlCpVSu3bt1fXrl3VqVMnxcbGhu4DAAg57p0GmJEPwH7kHDAjH4D9yDlgRj4A+5FzwIx8AAg13w1WZNWoUSM1atRIQ4YM0bZt2/TTTz/pl19+0fLly7Vy5UolJiYqPT0912uUK1dOtWrVUp06ddS0aVNdfPHFOv/88xUV5ZvDPADXdGrbTJ9OnuN1GXnCJgkwIx9A/tAHATuQDyB/6IOAHcgHkD/0QcAO5ANAKPl6sCKrSpUq6frrr9f111+f+Vp6erp27NihXbt2KSkpSUePHlVMTIxKliypuLg4lS9fXmXKlPGwaiCyde/STslHU3yzuWCTBJiRDyB49EHAHuQDCB59ELAH+QCCRx8E7EE+AISKNYMVOYmKilKlSpVUqVIlr0sBfMtvmws2SYAZ+QCC57d8kHPAjHwAwfNbPsg5YEY+gOD5LR/kHDAjHwBCgftdADil3rd0VJfLL/K6jDybOC1B746fctLrfvscgBvIBxA8v+WDnANm5AMInt/yQc4BM/IBBM9v+SDngBn5AFBQVp9YASB0/Da5eaoJ1AVLV4e9JiBSMKENBM9v+aAPAmb0QSB4fssHfRAwow8CwfNbPuiDgBl9EEBBMFgBIM/8trnIbZNUplScFyUBEYMvEUDw/JYP+iBgRh8Egue3fNAHATP6IBA8v+WDPgiY0QcB5Be3AgFgNHbizJNe89uxWKbjvW66qrUH1QCRhePvgNzRBwG70QeB3NEHAbvRB4Hc0QcBu9EHAeQHgxUAjL6bPd+KzYVpkwSALxFAbuiDgP3og4AZfRCwH30QMKMPAvajDwIIFoMVAHJly+aCLxGAmS05B9xgSz7og4CZLTkH3GBLPuiDgJktOQfcYEs+6IOAmS05BxAeDFYAOCVbNhd8iQDMbMk54AZb8kEfBMxsyTngBlvyQR8EzGzJOeAGW/JBHwTMbMk5APcxWAEgT2zZXPAlAjCzJeeAG2zJB30QMLMl54AbbMkHfRAwsyXngBtsyQd9EDCzJecA3MVgBYA8s2VzMXFagv717Q9elwFEJFtyDrjBlnzQBwEzW3IOuMGWfNAHATNbcg64wZZ80AcBM1tyDsA9DFYACIotm4sZPy32ugQgYtmSc8ANtuSDPgiY2ZJzwA225IM+CJjZknPADbbkgz4ImNmScwDuYLACQNDYXAD2I+eAGfkA7EfOATPyAdiPnANm5AOwHzkHYMJgBYB8YXMB2I+cA2bkA7AfOQfMyAdgP3IOmJEPwH7kHEBOGKwAkG9sLgD7kXPAjHwA9iPngBn5AOxHzgEz8gHYj5wDOBGDFQAKhM0FYD9yDpiRD8B+5BwwIx+A/cg5YEY+APuRcwBZMVgBoMDYXAD2I+eAGfkA7EfOATPyAdiPnANm5AOwHzkHkIHBCgAhweYCsB85B8zIB2A/cg6YkQ/AfuQcMCMfgP3IOQCJwQoAIcTmArAfOQfMyAdgP3IOmJEPwH7kHDAjH4D9yDkABitysHLlSqWmpnpdBuBLbC4A+5FzwIx8APYj54AZ+QDsR84BM/IB2I+cA4WbLwcrNm/erEGDBmnQoEGuXH/kyJE644wzNHz4cKWkpLiyBmAzNheA/cg5YEY+APuRc8CMfAD2I+eAGfkA7EfOgcLLl4MVmzZt0sCBA/X888+7cv1XX31V3bp10+OPP66mTZtq7dq1rqwD2IzNBWA/cg6YkQ/AfuQcMCMfgP3IOWBGPgD7kXOgcPLlYIXbihcvruHDh+u2227TsmXL1Lp1a61bt87rsgDfYXMB2I+cA2bkA7AfOQfMyAdgP3IOmJEPwH7kHCh8GKzIxeOPPy5J2rZtm7p27aq0tDSPKwL8h80FYD9yDpiRD8B+5BwwIx+A/cg5YEY+APuRc6BwYbAiF2eddVbmn5csWaJx48Z5WA3gX2wugPzp1LaZ1yXkGTkHzMgHkD/0QcAO5APIH/ogYAfyAeQPfRBAJGKwIhcLFizI9nzs2LEeVQL4H5sLIHjdu7TzVT7IOWBGPoDg0QcBe5APIHj0QcAe5AMIHn0QQCRisMJg9erVuuuuuxQIBCRJjuNoyZIlHlcF+BubCyB4fssHOQfMyAcQPL/lg5wDZuQDCJ7f8kHOATPyAQTPb/kg54D9YrwuIKvJkydr8uTJp/y5HTt2ZP65V69eIVs/LS1NBw8e1J9//qmVK1ee9H50dHTI1gIKq4nTEiQd30xklfE8430A/+O3fJBzwIx8AMHzWz7IOWBGPoDg+S0f5BwwIx9A8PyWD3IO2C2iBivKly+vFStWaOHChZknReTGcRxXbs/hOE7mnwOBgBzHUSAQ0LnnnhvytYDCiM0FEDy/5eNUOV+wdHXYawIiBX0QCJ7f8kEfBMzog0Dw/JYP+iBgRh8Egue3fNAHAXtF1GBFq1atNH/+fC1ZskQjRozQZ599ptTU1MzhhpyYXi+onAY77rzzTlfWAgojvkQAwfNbPnLLeZlScV6UBEQM+iAQPL/lgz4ImNEHgeD5LR/0QcCMPggEz2/5oA8CdoryuoCcNG7cWB999JHWrl2rLl26ZJ4YkfWR4cTXQ/U4Ufv27XX77beH868BsB73HANyN3bizJNe81s+TDm/6arWHlQDRBb6IJA7+iBgN/ogkDv6IGA3+iCQO/oggEgUkYMVGc4880xNmDBBH3/8scqUKZP5etZTKhzHcf3Ro0cPffHFF3m6PQmA4PAlAjD7bvZ8K/JhyjkA+iCQG/ogYD/6IGBGHwTsRx8EzOiDACJRRN0KxOTWW29Vs2bN1L59e23YsCHz1iCBQECXXHJJSNeKjo5WbGysKlWqpLp16+qKK65Q/fr1Q7oGgOw4/g4wsyUfps8BwJ6cA26wJR/0QcDMlpwDbrAlH/RBwMyWnANusCUf9EHAHr4YrJCkWrVqKSEhQe3bt9cff/yR+fqcOXM8rApAqNiySQLcYEs++BIBmNmSc8ANtuSDPgiY2ZJzwA225IM+CJjZknPADbbkgz4I2CGibwVyosqVK2vGjBmqVq2a16UAcAHH3wFmtuSD4+8AM1tyDrjBlnzQBwEzW3IOuMGWfNAHATNbcg64wZZ80AcB//PVYIUkVapUSRMmTFBMjG8O2wAQBFs2SYAbbMnHxGkJ+te3P3hdBhCRbMk54AZb8kEfBMxsyTngBlvyQR8EzGzJOeAGW/JBHwT8zXeDFZLUpEkT9evXz+syALjElk0S4AZb8jHjp8VelwBELFtyDrjBlnzQBwEzW3IOuMGWfNAHATNbcg64wZZ80AcB//LtsQ9PPvmkSpUq5XUZAFxiy73TADeQD8B+5BwwIx+A/cg5YEY+APuRc8CMfADwki9PrJCkChUq6LnnnnN9nXHjxunzzz93fR0AJ7NlAhVwA/kA7EfOATPyAdiPnANm5AOwHzkHzMgHAK/4drAiXJYvX67nn3/e6zKAQotNEmBGPgD7kXPAjHwA9iPngBn5AOxHzgEz8gHACwxWnELz5s21evVqff/9916XAhRabJIAM/IB2I+cA2bkA7AfOQfMyAdgP3IOmJEPAOHGYMUpHDhwQI7j6O233/a6FKBQY5MEmJEPwH7kHDAjH4D9yDlgRj4A+5FzwIx8AAgnBisMHMfRf/7zHz377LOSpEmTJmnbtm0eVwUUbmySADPyAdiPnANm5AOwHzkHzMgHYD9yDpiRDwDhEuN1AfnVtm3bkF4vPT1dqampSk5O1qFDh/T333/r8OHDme8fO3ZMo0eP1jPPPBPSdQEEZ+K0BEnHN0VZZTzPeB8ojMgHYD9yDpiRD8B+5BwwIx+A/cg5YEY+AISDbwcrvv/+ewUCgZBf13GcbM8DgYACgYAcx9F7772n/v37u7IugLxjkwSYkQ/AfuQcMCMfgP3IOWBGPgD7kXPAjHwAcJvvbwXiOE5IH9L/hilOHKBITEzUN99848XHBHACjvcCzMgHYD9yDpiRD8B+5BwwIx+A/cg5YEY+ALjJ94MVWYcgQvUwrSNJb7/9djg/HoBcsEkCzMgHYD9yDpiRD8B+5BwwIx+A/cg5YEY+ALjFt7cCyerE23cUVMatP3Iyc+bMkK4FoGA43gswIx+A/cg5YEY+APuRc8CMfAD2I+eAGfkA4AbfD1Y4jqPzzjtPderUUVxcnPHEibw6dOiQJk6cqLJly+qaa64JUZUA3MQmCTAjH4D9yDlgRj4A+5FzwIx8APYj54AZ+QAQar4erKhcubL+/e9/6/zzzw/pdYcNG6YnnnhCFSpU0LBhw0J6bcBPOrVtpk8nz/G6jDxhkwSYkQ8gf+iDgB3IB5A/9EHADuQDyB/6IGAH8gEglHw9WPHcc8+FfKhCkh577DH9/fffevXVV3XkyBGNGjUq5GsAftC9SzslH03xzeaCTRJgRj6A4NEHAXuQDyB49EHAHuQDCB59ELAH+QAQKr4erGjTpo1r1x4+fLiWLFmid955R8WLF9crr7zi2lpAJPPb5oJNEmBGPoDg+S0f5BwwIx9A8PyWD3IOmJEPIHh+ywc5B8zIB4BQiPK6gII488wzXbt2VFSUPvjgAxUtWlSvv/46gxUo1Hrf0lFdLr/I6zLybOK0BL07fspJr/vtcwBuIB9A8PyWD3IOmJEPIHh+ywc5B8zIBxA8v+WDnANm5ANAQfl2sGLkyJEqXry4q2vUrFlTXbt2leM4evLJJzV79mxX1wMimd82F2ySADPyAQTPb/kg54AZ+QCC57d8kHPAjHwAwfNbPsg5YEY+ABSEb28F0rdv37Cs0717d3388cdKS0vTXXfdpVWrVqlIkSJhWRuINH47Fiu3473KlIrzoiQgYnD8HRA8v+WDPgiY0QeB4PktH/RBwIw+CATPb/mgDwJm9EEA+eXbEyvC5fzzz5ckBQIBbdiwQZ9//rnHFQHhM3bizJNe89vkpmkC9aarWntQDRBZmNAGckcfBOxGHwRyRx8E7EYfBHJHHwTsRh8EkB8MVpxCXFz26c0JEyZ4VAkQft/Nnm/F5sK0SQLAlwggN/RBwH70QcCMPgjYjz4ImNEHAfvRBwEEi8GKU1i+fHnmnx3H0aJFizysBgg/WzYXfIkAzGzJOeAGW/JBHwTMbMk54AZb8kEfBMxsyTngBlvyQR8EzGzJOYDwYLDiFN5///1sz3fu3OlRJYB3bNlc8CUCMLMl54AbbMkHfRAwsyXngBtsyQd9EDCzJeeAG2zJB30QMLMl5wDcx2BFLr744guNHj1agUAg87XY2FgPKwK8Y8vmgi8RgJktOQfcYEs+6IOAmS05B9xgSz7og4CZLTkH3GBLPuiDgJktOQfgrhivC4gU6enpOnz4sLZu3arffvtNX3zxhSZNmiTHcRQIBDL/Wb9+fa9LBTwzcVqCpOObiawynme8H+kmTktQmVJxuumq1l6XAkQcW3IOuMGWfNAHATNbcg64wZZ80AcBM1tyDrjBlnzQBwEzW3IOwD2+PbEiOjo6pI8iRYqobNmyql+/vm655ZZsQxVZdenSxaNPDEQGWyY3Z/y02OsSgIhlS84BN9iSD/ogYGZLzgE32JIP+iBgZkvOATfYkg/6IGBmS84BuMO3J1Y4juP6GlmHKgKBgM4880zdc889rq8LRDomNwH7kXPAjHwA9iPngBn5AOxHzgEz8gHYj5wDMPHtYIWkk06TcIvjOIqLi9OXX36puLi4sKwJRDo2F4D9yDlgRj4A+5FzwIx8APYj54AZ+QDsR84B5MS3twIJB8dx5DiO6tatq59++klNmjTxuiQgonAsFmA/cg6YkQ/AfuQcMCMfgP3IOWBGPgD7kXMAJ/L1iRUZ3LgtSMmSJXXxxRfrlltu0c0336zo6OiQrwHYgMlNwH7kHDAjH4D9yDlgRj4A+5FzwIx8APYj5wCy8v1gRYUKFXTjjTeqTp06iouLU1RU8IdwREVFqUiRIipRooQqVKigM888U2eeeaYL1QJ2YnMB2I+cA2bkA7AfOQfMyAdgP3IOmJEPwH7kHEAGXw9WnHXWWUpISFB8fLzXpQCFHpsLwH7kHDAjH4D9yDlgRj4A+5FzwIx8APYj5wAkKfjjHSLIkCFDGKoAIgj3HAPsR84BM/IB2I+cA2bkA7AfOQfMyAdgP3IOwLeDFYFAQBdffLHXZQA4AZsLwH7kHDAjH4D9yDlgRj4A+5FzwIx8APYj50Dh5tvBCsdxdPrpp3tdBoAcsLkA7EfOATPyAdiPnANm5AOwHzkHzMgHYD9yDhRevh2sGDlypIoWLep1GQAM2FwA9iPngBn5AOxHzgEz8gHYj5wDZuQDsB85Bwon3w5W9O3b1+sSAJwCmwvAfuQcMCMfgP3IOWBGPgD7kXPAjHwA9iPnQOET43UBbnMcR3v27NGePXu0d+9eOY6j2NhYxcfHKz4+3uvyAOtNnJYg6fhmIquM5xnvA/Avcg6YkQ/AfuQcMCMfgP3IOWBGPgD7kXOgcPHtiRW5mTFjhp588km1atVKcXFxOv3001W3bl21aNFCLVu2VOPGjVWlShXFxsaqadOm6tevn6ZOnarU1FSvSwesxOQmkD+d2jbzuoQ8I+eAGfkA8oc+CNiBfAD5Qx8E7EA+gPyhDwKIRNacWJGcnKzRo0dr5MiRWrt2bebrjuMYf+fo0aP69ddftWjRIo0aNUqnnXaaevXqpUceeUQVK1YMR9lAocHkJhC87l3aKfloim/yQc4BM/IBBI8+CNiDfADBow8C9iAfQPDogwAikRUnVixYsECNGjXSAw88oDVr1shxnMxHIBDI9SEp82d37dqlYcOGqWbNmnrhhReUlpbm8ScD7MLkJhA8v+WDnANm5AMInt/yQc4BM/IBBM9v+SDngBn5AILnt3yQc8B+vh+sGDZsmC6++OLMgQrT4ITJiT/vOI4OHz6sAQMGqHnz5tq0aVO4PgpQKLC5AILnt3yQc8CMfADB81s+yDlgRj6A4PktH+QcMCMfQPD8lg9yDtjN17cCefHFF9W/f/9sAxXS/wYpMp7nZcAi4+ey/uyiRYvUpEkTTZs2TRdccIFbHwModDgWCwie3/JxqpwvWLo67DUBkYI+CATPb/mgDwJm9EEgeH7LB30QMKMPAsHzWz7og4C9fDtYMW3aND399NO5DlRkHaQoXbq0GjdurCpVqqhMmTIqW7asHMfR/v37tW/fPq1atUorVqxQampqtmvs2rVL7dq1088//6xzzjknnB8RsBpfIoDg+S0fueW8TKk4L0oCIgZ9EAie3/JBHwTM6INA8PyWD/ogYEYfBILnt3zQBwE7+XKwIjk5WX369Mn2Wtahiow/n3vuubrrrrt0xRVXqFatWqe87tGjRzVv3jyNGTNGX331lZKSkhQIBLRv3z517txZixcvVvHixUP/gYBCii8RQO7GTpyp7l3aZXvNb/kw5fymq1p7UQ4QUeiDQO7og4Dd6INA7uiDgN3og0Du6IMAIlGU1wXkxzfffKMNGzZkDlFkvRWI4ziqU6eOZs+erWXLlun+++/P01CFJBUrVkyXXnqpPv74Y61du1bXXntt5rVXr16tF154weVPBhQ+3HMMMPtu9nwr8mHKOQD6IJAb+iBgP/ogYEYfBOxHHwTM6IMAIpEvBysmTJiQ7XnWAYv7779fS5cuVZs2bQq0RuXKlfXVV1/pzTfflHT8RIzXX39dBw4cKNB1AZyMLxGAmS354EsEYGZLzgE32JIP+iBgZkvOATfYkg/6IGBmS84BN9iSD/ogYA9fDlb8/vvvCgQCkv43VBEIBPTwww9rxIgRKlasWMjW6tOnjwYMGCBJOnz4sL744ouQXRvA/9iySQLcYEs++BIBmNmSc8ANtuSDPgiY2ZJzwA225IM+CJjZknPADbbkgz4I2MGXgxWJiYmZf3YcR5LUsGFDvfTSS66s179/f9WoUUOS9J///MeVNQDYs0kC3GBLPvgSAZjZknPADbbkgz4ImNmSc8ANtuSDPgiY2ZJzwA225IM+CPifLwcrMk6ryPr8wQcfVHR0tCvrFSlSRDfffLMcx9HSpUtdWQPAcbZskgA32JKPidMS9K9vf/C6DCAi2ZJzwA225IM+CJjZknPADbbkgz4ImNmSc8ANtuSDPgj4my8HK2rWrJl5UkWGdu3aubrmBRdcIEnaunWrq+sAsGeTBLjBlnzM+Gmx1yUAEcuWnANusCUf9EHAzJacA26wJR/0QcDMlpwDbrAlH/RBwL98OViR0xBFxYoVXV2zQoUKkqSUlBRX1wFwnC2bJMAN5AOwHzkHzMgHYD9yDpiRD8B+5BwwIx8AvOTLwYrevXufdNuPbdu2ubrmgQMHJEmnnXaaq+sA+B82SYAZ+QDsR84BM/IB2I+cA2bkA7AfOQfMyAcAr/hysKJ27dq65557st0O5KeffnJ1zaVLl0qSKleuHNTvbdu2Tb169XKjJKBQYJMEmJEPwH7kHDAjH4D9yDlgRj4A+5FzwIx8APCCLwcrJGnYsGFq0qRJ5vPRo0e7ut6XX36pQCCg1q1bB/V727dv19ixY12qCigc2CQBZuQDsB85B8zIB2A/cg6YkQ/AfuQcMCMfAMLNt4MVxYsX17Rp09S0aVM5jqMffvhBY8aMcWWtf/3rX1q2bJkkqXPnzkH9bmJiohslAYUOmyTAjHwA9iPngBn5AOxHzgEz8gHYj5wDZuQDQDj5drBCksqXL685c+botttuk+M46tOnj2bMmBHSNRYtWqTevXsrEAioXbt2atWqVVC//+OPP4a0HqAwY5MEmJEPwH7kHDAjH4D9yDlgRj4A+5FzwIx8AAgXXw9WSFJsbKzGjRun8ePHq1y5curcubPmzJlT4OumpaXp7bffVps2bXTw4EGdccYZGjduXFDX+OWXX/TGG28UuBYA/8MmCTAjH4D9yDlgRj4A+5FzwIx8APYj54AZ+QAQDjFeF5AfgwYNyvH1m266Se+//76uvPJKPfjggypevHier5menq6jR4/qwIED2rJlixISErR37145jqNAIKCWLVvq3XffzfUajuMoNTVV+/bt05o1a/T9998rNTVVgUAgqM8HIHcTpyVIOr4pyirjecb7QGFEPgD7kXPAjHwA9iPngBn5AOxHzgEz8gHAbb4crBgyZIjS0tKM7zuOo5deeqlAaziOI0mZQxETJkzI9zUAhB6bJMCMfAD2I+eAGfkA7EfOATPyAdiPnANm5AOAm3x5K5DrrrtOjuMYH4FAINf38/IIBAKZQxUFuQYA93C8F2BGPgD7kXPAjHwA9iPngBn5AOxHzgEz8gHALb4crHj44YclKXP44cRHbu/l9ZFVKK4BwB1skgAz8gHYj5wDZuQDsB85B8zIB2A/cg6YkQ8AbvDlYEXTpk3VokWLzFttcMsNoHBjkwSYkQ/AfuQcMCMfgP3IOWBGPgD7kXPAjHwACLUYrwvIrwcffFA///yzJGXe+kOS4uLiVLp0aRUpUiTsp0akpaUpNTVVBw4cUFJSUljXBtzQqW0zfTp5jtdl5An3TgPMyAeQP/RBwA7kA8gf+iBgB/IB5A99ELAD+QAQSr4drOjSpYuqV6+ujRs3KhAI6L777lP//v0VHx/vdWmSpL///luvvPKKXn31Va9LAfKte5d2Sj6a4pvNBZskwIx8AMGjDwL2IB9A8OiDgD3IBxA8+iBgD/IBIFR8eSsQSYqKitL9998vSapVq5beeOONiBmqkKTKlStr+PDhatu2rdelAAXit2OxON4LMCMfQPD8lg9yDpiRDyB4fssHOQfMyAcQPL/lg5wDZuQDQCj8P3v3HR9Ftf9//L0hEAgl9CZSVRREUaoCFkQUBBugYAPFAna/WLgW7FcRvFYseBWwolfUS1FUqgKKSlcEQcEL0msAU0hyfn/wy5JlM8luspPZOXk9H499mJ3MnDkbfPs5Yz7M+LaxQpJuuOEGVa5cWc2aNfN6Ko6uuuoqr6cAFJvfFhcskgBn5AOInt/yQc4BZ+QDiJ7f8kHOAWfkA4ie3/JBzgFn5ANAcfn2USCSVLlyZV177bX6/PPw/xDGi+bNm3s9hYikpaVp69atSk1NVUZGhjIzM5WUlKTk5GRVqFBBVatWVbVq1byeJjzkt9tiFXZ7rx+WrS7xOQHxgtvfAdHzWz6og4Az6iAQPb/lgzoIOKMOAtHzWz6og4Az6iCA4vB1Y4Uk3XnnndqwYYPS09NVvnx5r6cTpnr16jLGeD2NIGOMFi9erG+//VaLFy/WypUrtWbNGu3fv7/QYytWrKiGDRuqcePGatOmjTp27KiOHTvScFGK+G1xUdAiKaVyRS+mBMQNLiKA6PktH9RBwBl1EIie3/JBHQScUQeB6PktH9RBwBl1EEBR+fpRIJLUuHFjTZo0qUSaKo455hitXbs2qmOaN2+unJwcl2YUuRkzZmjw4MGqWbOm2rdvr2HDhum9997T4sWLtW/fPhljCn3t379fK1eu1BdffKEnnnhCvXr1Uq1atdSlSxe9/PLL2rJli9cfEzE2YdKMsG1+uy2W0+29+vc+04PZAPGF298BBaMOAnajDgIFow4CdqMOAgWjDgJ2ow4CKArfN1aUlNTUVP3xxx/KzMz0eioRM8bo3//+t1q0aKHzzjtP48eP1+7du0OaJSQpEAhE/ModN/eVk5OjBQsW6I477lDDhg119dVX6+eff/byYyOGps5aaMXiwmmRBICLCKAg1EHAftRBwBl1ELAfdRBwRh0E7EcdBBAtGisi9OOPPwYbC/xg1qxZatWqlW666SatWrUq2AgRSbOE00vKvwkj9/tZWVl6//33dfLJJ2vAgAHcwcIStiwuuIgAnNmSc8ANtuSDOgg4syXngBtsyQd1EHBmS84BN9iSD+og4MyWnAMoGTRWRGDjxo26/fbbvZ5GRDIzM3XHHXeoe/fu+vXXX8OaKZxEereKwo7NbbL46KOPdMIJJ2jChAlufEyUMFsWF1xEAM5syTngBlvyQR0EnNmSc8ANtuSDOgg4syXngBtsyQd1EHBmS84BuC/R6wnEUmZmplatWqUNGzZo586dSk1NVVpamrKyspSVlRW860KkY+3evVtr1qzRvHnzlJ6eHvd3rNixY4cuuugiff/99yENFXlF8zOIVN5z5L0Dxt69e3Xddddp+fLlGj16dNz//FCwSdPnSzq0mMgr933u9+Od0+cAYE/OATfYkg/qIODMlpwDbrAlH9RBwJktOQfcYEs+qIOAM1tyDsBdvm+syM7O1rvvvqsJEyZo/vz5ysrKivk53GhGiLVt27apa9euIXepkELnnpKSohNOOEEtWrRQ06ZNVadOHdWuXVu1atVSUlJS8FWmTBllZ2crJydH6enpysjI0P79+5Wamqo9e/Zo+/bt2rp1qzZs2KD169drzZo12rVrV8h88p7/+eefV0ZGhl5++eWS+4HAFbYsLiZNn6+UyhXVv/eZXk8FiDu25Bxwgy35oA4CzmzJOeAGW/JBHQSc2ZJzwA225IM6CDizJecA3OPrxorvvvtO11xzjf744w9J7jVA5D7iIl5lZmbqoosu0sqVK0MeyVGhQgX17NlT55xzjs4++2w1b97ctTls2rRJixcv1rx58/T555/r559/lnT4Z/fqq6/q+OOP16233uraHFAybFlcfD1vMRcQgANbcg64wZZ8UAcBZ7bkHHCDLfmgDgLObMk54AZb8kEdBJzZknMA7vBtY8WXX36piy++WJmZmcGmh9L6qIkHHnhACxcuDDYxNGnSRPfdd58GDBigypUrl8gc6tevr/r166tXr156+umntXbtWr344ot68803lZ6eLmOM7rvvPvXs2VNNmzYtkTnBPSwuAPuRc8AZ+QDsR84BZ+QDsB85B5yRD8B+5ByAkwSvJ1AUO3bs0FVXXaWMjAxJCt6loTRas2aNnn/+eQUCASUkJOiRRx7R6tWrdeONN5ZYU0V+jjnmGL344otatmyZ2rRpI0lKT0/XXXfd5dmcEFuTps/X6+9/Hrb9pit6qs/5nTyYEYBYI+eAM/IB2I+cA87IB2A/cg44Ix+A/cg5gPz4srFizJgx2rlzZ1gzhTHGtVe8euGFF5Sdna2EhAR98MEHGjFihBIT4+dGJMccc4xmz56tdu3ayRijqVOnauXKlV5PCzHC4gKwHzkHnJEPwH7kHHBGPgD7kXPAGfkA7EfOARzJl40VU6ZMCdtmjFGbNm308ssv65tvvtHvv/+uHTt2KC0tTQcPHlROTk6RXnv37tVTTz0VV80KeU2aNEmBQEA33nij+vbt6/V08lWxYkV9+OGHKl++vCTp7bff9nhGiCUWF4D9yDngjHwA9iPngDPyAdiPnAPOyAdgP3IOIK/47BYoxJo1a4J3qzDGKCEhQWPGjNGQIUNifq7KlSvrvvvuU2Jiou69996Yj18cGzdu1NatWxUIBHTDDTd4PZ0CNW7cWNdee61effVVzZgxw+vpIMZ45hhgP3IOOCMfgP3IOeCMfAD2I+eAM/IB2I+cA8jlyztWZGRkSDrUVBEIBDRkyBBXmiryuuyyy1wdvyi2bNkS/LpFixYeziQy559/viRp3bp1Hs8EbqBzE7AfOQeckQ/AfuQccEY+APuRc8AZ+QDsR84BSD5trDjqqKNC3t90002un7NBgwYyxrh+nmgkJSUFv05LS/NwJpFJTk6WJP39998ezwRuYXEB2I+cA87IB2A/cg44Ix+A/cg54Ix8APYj5wB82VjRuXPnkCaHY4891vVzBgIBde3aVRUrVnT9XJFq0KBB8JEo33zzjcezKdyyZcskSTVr1vR4JnATiwvAfuQccEY+APuRc8AZ+QDsR84BZ+QDsB85B0o3XzZWXHXVVSHvd+/eXSLnnTFjhho1alQi54pEtWrVdOKJJ8oYo8cee0w5OTleT8lRZmamXn/9dQUCAZ1yyileTwcuY3EB2I+cA87IB2A/cg44Ix+A/cg54Ix8APYj50Dp5cvGinPPPVcdOnQIvl+6dKl3k/FYbpPJ4sWLNXDgwLhtrrjxxhu1Zs0aSVLPnj09ng1KAosLwH7kHHBGPgD7kXPAGfkA7EfOAWfkA7AfOQdKJ182VkjSm2++qeTkZEnShAkTSuSc119/vTZv3lwi54rUjTfeqBo1akiS3n//fXXq1Elr1671eFaHrV+/Xt27d9c777wjSUpJSQm74wjsxeICsB85B5yRD8B+5BxwRj4A+5FzwBn5AOxHzoHSx7eNFS1atAg2VHz66af69ddfXT1fZmamxo0bV2KPHYlUSkqKRo0aJWOMJGnhwoVq2bKlBg0apCVLlng2rwULFmjw4ME64YQTNHPmTBljFAgE9OSTT6pSpUqezQslj8UFYD9yDjgjH4D9yDngjHwA9iPngDPyAdiPnAOli28bKySpT58+GjNmjA4ePKgrr7xSGRkZrp1r3bp1weaFeDNo0CANGjQo2Lxw8OBBvfPOO2rbtq2aNm2q22+/XRMnTtTq1atd+wwbNmzQZ599pqFDh6p+/frq0qWLxo8fr4yMjOC8LrzwQg0dOtSV8yO+sbgAiqZX1w6F7xQnyDngjHwARUMdBOxAPoCioQ4CdiAfQNFQBwHEo0SvJ1BcQ4YMUVZWlu644w71799fkyZNUkJC7PtFJk6cqEAgEPNxY2Xs2LHasGGDZs6cqUAgEGygWL9+vcaMGaMxY8ZIkpKSktSgQYOwV926dZWcnKzk5GRVqFAh+E9JSk9PD77279+vTZs26a+//tLGjRu1bt06LV68WDt37gzOJW/zRu5cunTpovfee68EfyKIN5Omz5d0aDGRV+773O8DOGxgn25Kz8j0TT7IOeCMfADRow4C9iAfQPSog4A9yAcQPeoggHjk+8YKSbr11ltVpUoVDR48WAMGDND777+vMmXKxGTs9PR0vfvuu/rnP/8Zk/HckpiYqGnTpum6667T+++/H9IEkrfRIT09XWvXrtXvv/8es3MfeReMI8996aWX6t1331X58uVjdk74E4sLIHp+ywc5B5yRDyB6fssHOQeckQ8gen7LBzkHnJEPIHp+ywc5B+znSWNF06ZNXRk3MTFRH3/8sb799tti/xI/KytLBw4c0J49eyQp+DiLeFauXDm9++67OuWUUzRixAilpaUpEAjkO+9YPhLEafwKFSroqaee0u23357vcdu2bdP27dujOtfatWuLNEfEDxYXQPT8lg9yDjgjH0D0/JYPcg44Ix9A9PyWD3IOOCMfQPT8lg9yDtjNk8aKLVu2KCMjI6a/3JcOP3Ziy5YtMR3Xb4YNG6aLL75Yt9xyi7766itJ4c0PbjWJ5DagXHrppXr22WfVqFEjx31feeUVPfroo67MA/GNxQUQPb/lo7Cc/7BsdYnPCYgX1EEgen7LB3UQcEYdBKLnt3xQBwFn1EEgen7LB3UQsJcnjRWXXXaZ3n777Zj+ct8Y4+pdJWLdBOK2Zs2aafr06fr+++/15JNPatq0acHvOf2MCvuMhR1XtmxZDRgwQPfee69atGhRxJmjtOAiAoie3/JRUM5TKlf0YkpA3KAOAtHzWz6og4Az6iAQPb/lgzoIOKMOAtHzWz6og4CdErw46S233BLzMZ0eeVHadezYUVOmTNG6dev0z3/+UyeffHKwCSX3lSv3Z+j0ypX32ISEBJ1xxhkaNWqU/vjjD40fP56mCkRs0vT5ev39z8O233RFT/U5v5MHMwLiy4RJM8K2+S0fTjnv3/tMD2YDxBfqIFAw6iBgN+ogUDDqIGA36iBQMOoggHjkyR0r2rVrp7Zt2+qnn34K+4V9PLKhYaNRo0YaPny4hg8frq1bt2rBggVasGCBli1bpnXr1mnDhg3KzMwscIxAIKAmTZqoZcuWatmypU4++WR1795d1apVK9Kcbr75ZvXr1y+qY9auXauLL764SOdDfKJDG3A2ddZCpWdk+j4fTjkHQB0ECkIdBOxHHQScUQcB+1EHAWfUQQDxyJPGCkkaOnSoBg8eLOlQQ0ViYqJOO+00NWnSRCkpKUpKSlJSUpICgYDKlClTonMzxigzM1N79uzRb7/9pm+//VYHDx4s0Tm4qU6dOrrkkkt0ySWXBLcZY7Rt2zalpqbq77//1t9//y1jjCpVqqTKlSurcuXKSklJUdmyZWM2j9q1a6t27doxGw/+xUUE4MyWfHARATizJeeAG2zJB3UQcGZLzgE32JIP6iDgzJacA26wJR/UQcAenjVWDBgwQPfcc492796tk046SdOnT1fdunW9mk6BVq9erXPPPVd//fWX11NxTSAQUJ06dVSnTh2vp4JSypZFEuAGW/LBRQTgzJacA26wJR/UQcCZLTkH3GBLPqiDgDNbcg64wZZ8UAcBOyR4deLy5cvr2muvlSQNGTIkbpsqJKl58+a67777vJ4GYD2eLQg4syUfTp8DgD05B9xgSz6og4AzW3IOuMGWfFAHAWe25Bxwgy35oA4C/udZY4V06HEgkpSWlublNCLSo0cPr6cAlAq2LJIAN9iSj0nT52vilLleTwOIS7bkHHCDLfmgDgLObMk54AZb8kEdBJzZknPADbbkgzoI+JunjRVNmzbVeeedp1mzZnk5jYjUr19fxhivpwGUCrYskgA32JKPr+ct9noKQNyyJeeAG2zJB3UQcGZLzgE32JIP6iDgzJacA26wJR/UQcC/Er2ewGOPPaa9e/d6PY1ClS9fXuvXr1f9+vW9ngpQKtjy7DTADeQDsB85B5yRD8B+5BxwRj4A+5FzwBn5AOAlzxsr2rZt6/UUItawYUOvpxDm7LPP1u23366LLrpICQnu3YAkKytL69ev165du5STk6PKlSurYcOGqly5smvnBFgkAc7IB2A/cg44Ix+A/cg54Ix8APYj54Az8gHAK543VhTHLbfcop9++kkdO3bUCy+84Pr5MjMzNWfOHP3666/Kzs7W0UcfrU6dOnl6F4u5c+fqm2++UYMGDTR06FDdcMMNqlGjRkzGXrVqld577z1Nnz5dy5YtU3Z2dtg+DRo00DnnnKM+ffqoZ8+eCgQCMTk3kItFEuCMfAD2I+eAM/IB2I+cA87IB2A/cg44Ix8AvODeLQ5KwBtvvKEff/xR48aNc/1cb775pho2bKgePXro//7v/3TPPfeof//+atSokc4//3wtXbrU9TkUZMOGDXrggQd09NFH69prry3WWKtWrdJFF12kli1b6p///KcWLVqkrKwsGWPCXhs2bNCECRN04YUXqlmzZvroo49i9ImAw2x5dhrgBvIB2I+cA87IB2A/cg44Ix+A/cg54Ix8AChpvm6syMrKCvmnW+677z7deOON2rZtW7ChICkpSdWrV1d2dra++uortW/fXg8++KCr8yhIIBCQMUbp6el6++23izzOk08+qdatW2vq1KnBz5o7vtMr1/r16zVgwACdccYZWr58ebE/E5AXiyTAGfkA7EfOAWfkA7AfOQeckQ/AfuQccEY+AJQkXzdWlIQPPvhAo0aNCr4PBAK67777tHv3bm3fvl1//fWXhg0bppycHD311FO65ppr8n1kRkkozmM40tLSdOGFF2rEiBHKzMyUMSbf5on87lqRtwHDGKP58+frtNNO4+4ViDkWSYAz8gHYj5wDzsgHYD9yDjgjH4D9yDngjHwAKCmJXk8g1v766y/NnTtXv/zyi3bv3q0KFSroqKOO0hlnnKG2bdtGNVZWVpbuueee4PtAIKAOHTroqaeeCm6rV6+eRo0apW7duumSSy7Re++9p4SEBI0fPz5WHykiuY0QRZGVlaVevXppzpw5IeMc+bUkdejQQRdeeKHOOOMMNWnSRDVr1lRaWpq2bt2qhQsXatq0afrkk0+UlpamAQMGaM2aNXrggQdi8yEB8ew0oCDkA7AfOQeckQ/AfuQccEY+APuRc8AZ+QBQEqxprFizZo3uvvtuff7558rJycl3nyZNmuipp55Sv379Ihpz+vTp2rRpU/AxG4FAQH379s133/POO0/vvPOO+vXrp3feeUetW7fWnXfeWdSPU6JuuukmzZ49O+TuFEc2VZx//vl67LHH8m1OKVeunFJSUnTcccfp6quv1u+//667775b//3vfzVixAhVr15dQ4cOLdHPBLuxSAKckQ/AfuQccEY+APuRc8AZ+QDsR84BZ+QDgNt8/yiQQCCgzMxMnXzyyZo6daqys7MdH1Xxxx9/qH///urTp48yMjIKHXvWrFlh20466STH/fv06aN+/frJGKP7779fq1atKtZnKwlPP/20xo0bF3ZnitxmkpSUFH344Yf6/PPPI77jR7NmzfTpp5/q6aefViAQ0B133KGZM2e69hlQOnF7L8AZ+QDsR84BZ+QDsB85B5yRD8B+5BxwRj4AuMn3jRWSlJOTo/T09OBdFgp6GWP02WefqXv37oU2VyxfvjxsW6NGjQo8JvcxIRkZGbrrrruK/qFKwC+//KIRI0Y43qXi2GOP1ffffx/xHT6OdO+992r06NHKysrS1VdfrdTU1JjNHZBYJAEFIR+A/cg54Ix8APYj54Az8gHYj5wDzsgHALf4trEiMzMz+HXexonC5DZXzJs3T3fccUeB+27dujVszBo1ahR4TNOmTdW+fXsZY/TVV19pwYIFhc7JK3fccYeysrIkhTdVNG3aVN98842OO+64Yp3jzjvv1MCBA7VlyxaNGDGi2HMGjsQiCXBGPgD7kXPAGfkA7EfOAWfkA7AfOQeckQ8AbvBtY8Urr7yS73anx4DkfeU2V7zxxhuaMWOG4zn27t0btq1ixYqFzu2CCy4Ifj1mzJgIPk3J++STTzRr1qzgzyJvU0X16tX15Zdfqk6dOjE51zPPPKMqVarolVde0erVq2MyJpAXiyTAGfkA7EfOAWfkA7AfOQeckQ/AfuQccEY+AMSaLxsrsrKy9NRTT4XcTcIYo5SUFF199dV64YUXNHPmTC1atEhr1qzR8uXLNWvWLD3//PM6++yzJR2+c8XTTz/teJ6///47bFvZsmULnV+rVq2Cc/rvf/+r9PT0aD+i6x5//PGwbbkNFi+88IKaNWsWs3PVqlVLV111lbKysvTCCy/EbFy4r1fXDl5PIWIskgBn5AMoGuogYAfyARQNdRCwA/kAioY6CNiBfACIJV82Vnz11Vfavn27pEPNALVr19Zbb72lzZs3a8KECbrtttt09tln65RTTlGzZs104okn6qyzztLtt9+umTNn6ttvv9XRRx8tSZo9e7bWrl2b73nyPm4kV0JC4T+yE044Ifh1WlqaZs6cWZSP6ZqlS5dq2bJlIXeryP1nz549deWVV8b8nJdeeqkk6d13343LRhPkb2Cfbr5aXLBIApyRDyB61EHAHuQDiB51ELAH+QCiRx0E7EE+AMSKLxsrvvjii+DX5513nn799VcNGjRISUlJER1/+umna8aMGapSpYqkQ80V+Tl48GDI+0iaKiSpevXqkhS8o8aCBQsiOq6kjB8/Pvh13rt+BAIB/fOf/3TlnMcff7wk6cCBAwU+fgXxx2+LCxZJgDPyAUTPb/kg54Az8gFEz2/5IOeAM/IBRM9v+SDngDPyASAWfNlYsWjRIknSySefrMmTJ6tq1apRj3HMMcfonnvukTHGsfEhKysr5H2ZMmUiGrtSpUoh75cuXRr1/KKVt0GiINnZ2XrvvffCHqMSCAR04YUXBh9jEmu1a9cOfk1jhf/4bXHBIglwRj6A6PktH+QccEY+gOj5LR/kHHBGPoDo+S0f5BxwRj4AFJcvGyvWr1+vQCCgkSNHqmzZskUep1+/fpKkTZs25ft9Y0zI+0gbK/LeOcMYo/Xr1xdtghEoU6ZM2Dxzz5ufFStWaOfOnfnuM2jQoJjPL9eePXuCXy9btsy188A9fltcsEgCnJEPIHp+ywc5B5yRDyB6fssHOQeckQ8gen7LBzkHnJEPAMXhy8aKPXv2qEKFCurWrVuxxmncuLEkadeuXfl+PycnJ+R9pI8aSUtLC3m/ZcuW6CcXobVr1+rmm29W+fLlg3eekKRjjz1Wb7zxRtjjTL7//vvg13nvWlGpUiX16NHDtXn+9NNPIXOGP/ltcVHQIunczqd6MCMgfnARAUTPb/mgDgLOqINA9PyWD+og4Iw6CETPb/mgDgLOqIMAisqXjRWBQEB16tSJ+PEXTvbv3y/p0OMxIlGhQoWI9jtw4EDI+7///ju6iUWhUaNGevnll/Xnn3/q/vvvV9WqVWWM0R9//KEhQ4aoSZMmeu6554JzWLhwYcjxuc0Ybdu2LdbdPwrz4YcfBs+X9+4ViG8TJoU/tsVviwunRVL/3md6MBsgvnARARSMOgjYjToIFIw6CNiNOggUjDoI2I06CKAofNlYUatWLe3evbvY43z33XfB8Y6U36M0Im2s2LFjR8j7I+984YaaNWvqiSee0J9//qlnnnlG9evXlzFGmzZt0t13361GjRrpscce07x58/I9vn379q7N7Y8//tAHH3wQbITJyMhw7VyIramzFlqxuHBaJAHgIgIoCHUQsB91EHBGHQTsRx0EnFEHAftRBwFEy5eNFfXq1dPevXu1ZMmSYo3z7LPPKhAIqGHDhmHfy8rKCn6d22SRkpIS0bi//fZbyPsqVaoUY5bRqVSpku6++26tW7dOY8eO1XHHHSdjjHbu3KlHH31Uf/zxh6TwxpFjjz3WtTkNGTJEmZmZwffJycmunQuxZ8vigosIwJktOQfcYEs+qIOAM1tyDrjBlnxQBwFntuQccIMt+aAOAs5syTmAkuHLxoouXbrIGKOHHnqoyGM8/PDDmjNnjiSpc+fOYd9PT08PeR8IBFStWrWIxl61alXI+0gbMmKpbNmyuv766/Xrr7/qo48+Utu2bWWMCT7648jHqDRo0MCVeYwdO1YzZswIOV/dunVdORfcY8vigosIwJktOQfcYEs+qIOAM1tyDrjBlnxQBwFntuQccIMt+aAOAs5syTkA9/myseLcc8+VJH3xxRe666678n1sh5Pt27fr8ssv1xNPPBHc1qpVq7D9tm7dGratZs2aEZ0jt2FDOtSQUa9evYjnF2uBQEB9+/bVDz/8oK+++kpdu3YNNljkVb9+/Zife9++ffrHP/4RbKrIbepo0aJFzM8F99myuOAiAnBmS84BN9iSD+og4MyWnANusCUf1EHAmS05B9xgSz6og4AzW3IOwF2+bKzo1q2bjj/+eBlj9OKLL6p9+/b66KOPtG/fvnz3T01N1cyZM3X99derWbNm+vjjj4O/5DfGaODAgdq+fXvIMQsWLAgbJ5K7Ohw4cEBz584Nji1JrVu3jv5DuqBbt26aMWOGfvrpJ/Xp0yfkLhJuPJ5j7ty52r17d9j27t27x/xcKBm2LC4mTZ+viVPmej0NIC7ZknPADbbkgzoIOLMl54AbbMkHdRBwZkvOATfYkg/qIODMlpwDcI8vGysCgYAefPDB4PtFixZpwIABqlatmo455hh16NBBZ5xxhk455RQ1atRI1atXV/fu3TVu3Djt378/5G4NN954o37//XedcsopmjRpknJycrR582Y9/fTTYefNzMwsdG7jx49XRkZGyLY2bdoU49PG3qmnnqr//Oc/WrVqlQYPHqxy5cqpQoUKMT9PVlZW2LaaNWvqqquuivm5UHJsWVx8PW+x11MA4pYtOQfcYEs+qIOAM1tyDrjBlnxQBwFntuQccIMt+aAOAs5syTkAdyR6PYGiuuKKK/TZZ5/p448/Dt4dwhijP/74Q3/88UfIHSPyynuXhtatW+vVV1/V2WefrSuuuEKXXXaZypcvr4MHDyo7Ozs4Ru4/x4wZo8TERI0ePVoJCeE9Kenp6Xr66adDzhEIBNStWzd3fgjFdMwxx+iNN97Q448/rho1asR8/M6dO6tKlSrat2+fjDFKTEzU+PHjValSpZifCyVr0vT5kg4tJvLKfZ/7fQD+Rc4BZ+QDsB85B5yRD8B+5BxwRj4A+5FzAE58eceKXG+99ZZat24dbH7IfUkKNlXk3Z73e9WqVdNHH32kQCCgyy+/XC+++KKMMUpPT1dWVlZYU0aDBg109tln6/nnn1eHDh20ZMmSsPkMHTpUf/31V/AcgUBAnTt3jugRIl6qW7euypYtG/Nxa9asqSlTpqhbt2668MILNXfuXPXo0SPm54E36NwE7EfOAWfkA7AfOQeckQ/AfuQccEY+APuRcwD58e0dKySpUqVK+uabb9SnTx99/fXXwcaJvHeMOJIxRvXq1dO0adPUrFmz4PZbbrlFCQkJuu2228KOCQQCGjt2rLp27ap+/fppypQpatu2rbp27aru3burSpUqmjhxor755puwcw8aNCg2H9anunTpoi+//NLracAldG4C9iPngDPyAdiPnAPOyAdgP3IOOCMfgP3IOYAj+fqOFdKh5oovvvhCL7/8sqpXrx58JEjuHSfyvg8EAho4cKCWL1+u1q1bh401dOhQzZgxQyeeeGLwmISEBI0cOVLnn3++ypUrp08++URXXnmljDGaNWuWhg8frptvvlnffPNNyDkDgYCaN2+ua665piR/HECJo3MTsB85B5yRD8B+5BxwRj4A+5FzwBn5AOxHzgHk5es7VuRKSEjQzTffrEGDBunzzz/X1KlT9ccff2jbtm0qV66cmjRpok6dOunyyy9Xo0aNChzrrLPO0rJly/Tdd9/pt99+U9u2bdWyZcvg98uUKaN33nlHtWvX1nPPPadAIBDy2JG8nnnmGSUk+L53BSgUnZuA/cg54Ix8APYj54Az8gHYj5wDzsgHYD9yDiCXFY0VuZKTk9W3b1/17du32GOddtppOu200xy//+yzz6pjx4666aabtGfPnrCmisGDB6tXr17FngfgFywuAPuRc8AZ+QDsR84BZ+QDsB85B5yRD8B+5ByAZMGjQLzUr18//fzzz7rsssskKXjniptuukmvvvqql1MDPMFtsQD7kXPAGfkA7EfOAWfkA7AfOQeckQ/AfuQcgFV3rPBC/fr1NXHiRP3rX//Szz//rGOOOUZNmzb1elqAZ+jcBOxHzgFn5AOwHzkHnJEPwH7kHHBGPgD7kXOgdKOxIkbq16+v+vXrez0NIC6wuADsR84BZ+QDsB85B5yRD8B+5BxwRj4A+5FzoPTiUSCF+OqrrzRjxgyvpwH4DrfFAuxHzgFn5AOwHzkHnJEPwH7kHHBGPgD7kXOgdOKOFYX473//qx9//FHdunXzeiqA79C5CdiPnAPOyAdgP3IOOCMfgP3IOeCMfAD2I+dA6cMdKwpxxhlnaNGiRVq0aJHXUwF8ic5NwH7kHHBGPgD7kXPAGfkA7EfOAWfkA7AfOQdKFxorImCM0auvvur1NADfYnEBFE2vrh28nkLEyDngjHwARUMdBOxAPoCioQ4CdiAfQNFQBwHEIxorCvDbb7/p8ccflyRNnDhRe/fu9XhGgH+xuACiN7BPN1/lg5wDzsgHED3qIGAP8gFEjzoI2IN8ANGjDgKIR4leT6CorrvuupiOl5OTo4MHDyo9PV379+/Xhg0btHr16uD309LSNH78eN1xxx0xPS9QmvDMMSB6fssHOQeckQ8gen7LBzkHnJEPIHp+ywc5B5yRDyB6fssHOQfs59vGivHjxysQCLg2vjEm+HUgEAg+DoTGCqB4WFwA0fNbPsg54Ix8ANHzWz7IOeCMfADR81s+yDngjHwA0fNbPsg5YDffNlbkytsAEUv5NW2sWbNGM2fO1DnnnOPKOYHSgsUFED2/5aOwnP+wbHXYMUBpQR0Eoue3fFAHAWfUQSB6fssHdRBwRh0Eoue3fFAHAXv5vrHCzbtW5Oe1116jsQKIAS4igOj5LR8F5TylckUvpgTEDeogED2/5YM6CDijDgLR81s+qIOAM+ogED2/5YM6CNgpwesJxIoxJmav/MbL3TZ58mQvPyZglUnT5+v19z8P237TFT3V5/xOHswIiC8TJs0I2+a3fDjlvH/vMz2YDRBfqINAwaiDgN2og0DBqIOA3aiDQMGogwDike/vWGGMUUpKio455hhVrFix2Hew2L9/vxYtWqSUlBS1bt06NpME4IgObcDZ1FkLlZ6R6ft8OOUcAHUQKAh1ELAfdRBwRh0E7EcdBJxRBwHEI183VqSkpGj8+PHq3bt3TB8Jctttt+nVV1/VpZdeqttuuy1m4wLIHxcRgDNb8sFFBODMlpwDbrAlH9RBwJktOQfcYEs+qIOAM1tyDrjBlnxQBwF7+Lqx4oEHHtCFF14Y83Ffeuklbd++XXfeeafS0tJ07733xvwcAELZskgC3GBLPriIAJzZknPADbbkgzoIOLMl54AbbMkHdRBwZkvOATfYkg/qIGCHBK8nUBw9evRwbewJEyboxBNP1D/+8Q+9+OKLrp0HwGE8WxBwZks+nD4HAHtyDrjBlnxQBwFntuQccIMt+aAOAs5syTngBlvyQR0E/M/XjRWNGzd2beykpCRNmDBBCQkJuuuuu/TBBx+4di4Ah9mySALcYEs+Jk2fr4lT5no9DSAu2ZJzwA225IM6CDizJeeAG2zJB3UQcGZLzgE32JIP6iDgb75trBg2bJiSk5NdPUfr1q3Vu3dvGWM0ePBgLV261NXzATjElkUS4AZb8vH1vMVeTwGIW7bkHHCDLfmgDgLObMk54AZb8kEdBJzZknPADbbkgzoI+JdvGytGjRpVIucZPHiwJCk9PV2DBg0qkXMCsGeRBLiBfAD2I+eAM/IB2I+cA87IB2A/cg44Ix8AvOTbxoqS0rZtW0lSIBDQihUr9Nlnn3k7IaAUYZEEOCMfgP3IOeCMfAD2I+eAM/IB2I+cA87IBwCv0FhRiGrVqoW8nzhxokczAUonFkmAM/IB2I+cA87IB2A/cg44Ix+A/cg54Ix8APACjRWF+O2334JfG2O0cOFCD2cDlE4skgBn5AOwHzkHnJEPwH7kHHBGPgD7kXPAGfkAUNJorCjEO++8E/J+8+bNHs0EKN1YJAHOyAdgP3IOOCMfgP3IOeCMfAD2I+eAM/IBoCTRWFGA+fPn64UXXlAgEAhuK1eunIczAko3FkmAM/IB2I+cA87IB2A/cg44Ix+A/cg54Ix8ACgpNFYcIT09XQsXLtSwYcPUrVs3ZWZmSjr0GBBJOvbYY72cHlDqsUgCnJEPwH7kHHBGPgD7kXPAGfkA7EfOAWfkA0BJSPR6AkXVtGnTmI6XlZWlAwcOaO/evcEmCmNMyN0qAoGAevfuHdPzAojepOnzJR1aFOWV+z73+0BpRD4A+5FzwBn5AOxHzgFn5AOwHzkHnJEPAG7zbWPF+vXrFQgEgk0QbsjbVCFJ1atX16233ura+QBEjkUS4Ix8APYj54Az8gHYj5wDzsgHYD9yDjgjHwDc5NvGilxHNj+4wRijxMREvf3226pZs6br5wMQGRZJgDPyAdiPnAPOyAdgP3IOOCMfgP3IOeCMfABwS4LXE4h3xhjVrFlTU6ZMUY8ePbyeDoAj8Ow0wBn5AOxHzgFn5AOwHzkHnJEPwH7kHHBGPgC4wfd3rJDk2uNAjj/+eF1xxRW67bbblJKS4so5ABQfHaiAM/IB2I+cA87IB2A/cg44Ix+A/cg54Ix8AIg13zdWlCtXTueee66OO+44VaxYUQkJ0d+EIyEhQWXLllVycrJq1qypo48+WieccAKP/UCp16trB73339leTyMiLJIAZ+QDKBrqIGAH8gEUDXUQsAP5AIqGOgjYgXwAiCVfN1bUqlVLs2bNUosWLbyeCmClgX26KT0j0zeLCxZJgDPyAUSPOgjYg3wA0aMOAvYgH0D0qIOAPcgHgFiJ/vYOceTxxx+nqQJwmd+eOcaz0wBn5AOInt/yQc4BZ+QDiJ7f8kHOAWfkA4ie3/JBzgFn5ANALPi6saJbt25eTwEoFfy2uGCRBDgjH0D0/JYPcg44Ix9A9PyWD3IOOCMfQPT8lg9yDjgjHwCKy9ePAqlfv77XUwBKDb/dFquw23v9sGx1ic8JiBfc/g6Int/yQR0EnFEHgej5LR/UQcAZdRCInt/yQR0EnFEHARSHbxsrhg0bpqSkJK+nAZQqfltcFLRISqlc0YspAXGDiwggen7LB3UQcEYdBKLnt3xQBwFn1EEgen7LB3UQcEYdBFBUvn0UyKhRo7yeAmC9CZNmhG3z222xnG7v1b/3mR7MBogv3P4OKBh1ELAbdRAoGHUQsBt1ECgYdRCwG3UQQFH4trGiKA4cOKDNmzdr//79Xk8F8IWpsxZasbhwWiQB4CICKAh1ELAfdRBwRh0E7EcdBJxRBwH7UQcBRMu3jwIpzO7duzV58mTNmTNH8+bN019//aWMjIzg98uVK6fjjz9ep5xyis477zydd955qlq1qncTBuKULbfFcvocAOzJOeAGW/JBHQSc2ZJzwA225IM6CDizJeeAG2zJB3UQcGZLzgGUDOsaK9asWaN//etfeuedd5SWliZJMsaE7ZeRkaFly5Zp+fLlmjBhgsqVK6dLL71UQ4cOVefOnUt62kBcs2VxwUUE4MyWnANusCUf1EHAmS05B9xgSz6og4AzW3IOuMGWfFAHAWe25ByA+6x5FEh2draeeOIJtWrVSmPHjtXff/8tY4yMMQoEAvm+JAX3ycjI0MSJE3XmmWfq/PPP1/Llyz3+REB8seW2WNz+DnBmS84BN9iSD+og4MyWnANusCUf1EHAmS05B9xgSz6og4AzW3IOwF1WNFZs3LhR7du318MPP6zMzMywZopcuU0UuXewOLLRIvd7X331ldq1a6enn37aq48ExCVbFheTps/XxClzvZ4GEJdsyTngBlvyQR0EnNmSc8ANtuSDOgg4syXngBtsyQd1EHBmS84BuMf3jRWrV69Wx44dtXTp0pCGivzk12zh9P2DBw/qgQce0GWXXabs7Gw3PwLgK7YsLr6et9jrKQBxy5acA26wJR/UQcCZLTkH3GBLPqiDgDNbcg64wZZ8UAcBZ7bkHIA7fN1YsXXrVnXv3l2bNm2SpHwbJvLepSLvKzk5WZUrV1ZCQkK+38+9g8WkSZPUv3//kv5oQFxjcQHYj5wDzsgHYD9yDjgjH4D9yDngjHwA9iPnAJwkej2B4rj66qu1YcOGsIaK3Ed91KtXT126dNEpp5yiU045Rc2bN1dKSoqqVKmihITDPSWZmZnasmWLVq1apV9++UXTpk3TN998o6ysLBlj9Mknn2j06NG6++67S/TzAfFs0vT5kg4tJvLKfZ/7fQD+Rc4BZ+QDsB85B5yRD8B+5BxwRj4A+5FzAPnxbWPFxIkTNWPGjJCmCmOMypcvr759++rqq6/WOeecE9JA4aRcuXJq2LChGjZsqO7du+uuu+7S1q1b9cADD2j8+PHKycnRgw8+qD59+qhJkyZufizAV1hcAPYj54Az8gHYj5wDzsgHYD9yDjgjH4D9yDmAI/n2USCPPvpoyHtjjC666CKtXLlSb7/9ts4999yImiqc1KlTR//+97/1wQcfqGzZsjp48KBGjBhR3GkD1uG2WID9yDngjHwA9iPngDPyAdiPnAPOyAdgP3IOIC9fNlbMmzdPq1evViAQkDFGlSpV0uTJk/Xpp5+qcePGMT1Xv379NHr0aBlj9NFHH2nnzp0xHR+wAYsLwH7kHHBGPgD7kXPAGfkA7EfOAWfkA7AfOQeQy5eNFdOmTZN06C4VVatW1dy5c9WrVy/XznfbbbepZcuWysrK0n/+8x/XzgP4GYsLwH7kHHBGPgD7kXPAGfkA7EfOAWfkA7AfOQcg+bSxYuHChZKkQCCgV155Ra1bt3b9nFdddZWMMfr2229dPxfgVywuAPuRc8AZ+QDsR84BZ+QDsB85B5yRD8B+5ByALxsrfvvtNwUCAZ100knq379/iZyzRYsWkqQlS5aUyPkAv2JxAdiPnAPOyAdgP3IOOCMfgP3IOeCMfAD2I+dA6ebLxordu3dLkgYMGFBi56xUqZIkaevWrSV2TsCvWFwA9iPngDPyAdiPnAPOyAdgP3IOOCMfgP3IOVB6+bKxIisrS5J03HHHldg5//e//0mS9u3bV2LnBPyMxQVgP3IOOCMfgP3IOeCMfAD2I+eAM/IB2I+cA6WTLxsrqlWrJklKSUkpsXNOnz5dklS+fPkSOyfgdywuAPuRc8AZ+QDsR84BZ+QDsB85B5yRD8B+5BwofXzZWNG0aVNJ0h9//FEi5/vtt9/0ySefKBAIqHbt2iVyTsAWLC4A+5FzwBn5AOxHzgFn5AOwHzkHnJEPwH7kHChdfNlY0a5dOxljNHnyZNfPlZ6eriuvvFIHDx6UJLVs2dL1cwK2YXEBFE2vrh28nkLEyDngjHwARUMdBOxAPoCioQ4CdiAfQNFQBwHEI182Vlx44YWSpGnTpmnp0qWunWf37t3q0aOHFi1aFNx25plnunY+wGYsLoDoDezTzVf5IOeAM/IBRI86CNiDfADRow4C9iAfQPSogwDikS8bK7p27aqjjz5aOTk5uvLKK7Vr166Yn2Pq1Klq3bq1vvnmGwUCAUlSQkKC+vTpE/NzAaUFiwsgen7LBzkHnJEPIHp+ywc5B5yRDyB6fssHOQeckQ8gen7LBzkH7OfLxopAIKDhw4dLklatWqXTTjtN33//fUzG/uSTT9SpUydddNFF2rBhg4wxMsYoEAjooosuUqNGjWJyHqC0YnEBRM9v+SDngDPyAUTPb/kg54Az8gFEz2/5IOeAM/IBRM9v+SDngN0SvZ5AUV1//fV65ZVXtHLlSq1Zs0adOnVS7969dcMNN+i8885TYmJkHy0jI0Nz5szRtGnTNHnyZG3YsEGSgs0UuV+XK1dOI0eOdO3zAKXJpOnzJR1aTOSV+z73+wAO81s+Csv5D8tWl/icgHhBHQSi57d8UAcBZ9RBIHp+ywd1EHBGHQSi57d8UAcBe/m2saJs2bJ677331LFjR2VkZMgYoylTpmjKlCkqX768TjnlFB1//PFq0KCBKleurKSkJKWlpWn//v1KTU3VunXrtHLlSq1bt045OTmSDjVQ5MrbVBEIBPTss8+qWbNmnnxWwEZcRADR81s+Csp5SuWKXkwJiBvUQSB6fssHdRBwRh0Eoue3fFAHAWfUQSB6fssHdRCwk28bKyTppJNO0qRJk3TJJZfo4MGDkg41QqSlpem7777Td999V+DxeRsppMPNFEe64447dPPNN8dm0gCCuIgACjZh0gwN7NMtZJvf8uGU8/69z/RiOkBcoQ4CBaMOAnajDgIFow4CdqMOAgWjDgKIRwleT6C4evTooSlTpqhGjRrBu0sEAgEZYwp95e6b+8ort+nioYce0r/+9S8vPhpQKvDMMcDZ1FkLrciHU84BUAeBglAHAftRBwFn1EHAftRBwBl1EEA88n1jhSSde+65WrJkibp37x5siDiyaSK/lxNjjI4++mhNnTpVjz76aEl9DKDU4iICcGZLPriIAJzZknPADbbkgzoIOLMl54AbbMkHdRBwZkvOATfYkg/qIGAPKxorJOmoo47S9OnTNWXKFJ1yyinBu1JEwxij8uXLa9iwYVq5cqV69Ojh0mwBHMmWRRLgBlvywUUE4MyWnANusCUf1EHAmS05B9xgSz6og4AzW3IOuMGWfFAHATtY01iR64ILLtBPP/2kefPm6brrrlOtWrUKfSSIJLVs2VKjR4/Wxo0bNWrUKFWsWNHjTwKUPrYskgA32JIPLiIAZ7bkHHCDLfmgDgLObMk54AZb8kEdBJzZknPADbbkgzoI+F+i1xNwy+mnn67TTz9dxhj9/PPPWrJkidasWaM9e/YoMzNT1apVU40aNXTcccepc+fOqlGjhtdTBqBDiwvp0KIor9z3ud8HSiNb8jFp+nylVK6o/r3P9HoqQNyxJeeAG2zJB3UQcGZLzgE32JIP6iDgzJacA26wJR/UQcDfrG2syBUIBNSqVSu1atXK66kAiJAtiyTADbbk4+t5i7mAABzYknPADbbkgzoIOLMl54AbbMkHdRBwZkvOATfYkg/qIOBfvm6s+PTTT7Vu3Tp17txZ7du393o6AGLIlkUS4AbyAdiPnAPOyAdgP3IOOCMfgP3IOeCMfADwki8bKw4ePKjevXvr66+/lnTorhSjRo3SXXfd5fHMAMQSiyTAGfkA7EfOAWfkA7AfOQeckQ/AfuQccEY+AHglwesJFMXIkSP11VdfyRgjY4xycnL0j3/8Q3v37vV6agBibNL0+Xr9/c/Dtt90RU/1Ob+TBzMC4gf5AOxHzgFn5AOwHzkHnJEPwH7kHHBGPgB4wZeNFW+//bakQ3eqCAQCkg7dxWLdunVeTguAS1gkAc7IB2A/cg44Ix+A/cg54Ix8APYj54Az8gGgpPmyseLPP/8MNlTkqlq1qk444QSPZgTAbSySAGfkA7AfOQeckQ/AfuQccEY+APuRc8AZ+QBQknzZWFGzZs3g18YYBQIBPfbYY0pKSvJwVgDcxiIJcEY+APuRc8AZ+QDsR84BZ+QDsB85B5yRDwAlxZeNFeeee66MMZIOPQ7k/PPP1y233OLxrACUBBZJgDPyAdiPnAPOyAdgP3IOOCMfgP3IOeCMfAAoCb5srBg+fLjKli0bfP/cc8+5er7s7Gw1a9ZMa9eudfU8ACLDIglwRj4A+5FzwBn5AOxHzgFn5AOwHzkHnJEPAG7zZWPF8ccfr3/+85/Bu1YkJia6er4dO3Zo3bp1yszMdPU8ACLHIglwRj4A+5FzwBn5AOxHzgFn5AOwHzkHnJEPAG7yZWOFJA0bNkx33323jDG65pprtH//ftfO9d133ykQCLg2PoCiYZEEOCMfgP3IOeCMfAD2I+eAM/IB2I+cA87IBwC3+LaxQpKeeeYZvfDCC/rxxx/VuXNn1x7V8eKLL7oyLoDiY5EEOCMfgP3IOeCMfAD2I+eAM/IB2I+cA87IBwA3+LqxQpJuu+02zZs3TwcPHtTJJ5+skSNH6uDBgzEZe+fOnRo4cKDmzJkTk/EAuINFEuCMfAD2I+eAM/IB2I+cA87IB2A/cg44Ix8AYi3R6wkUxXXXXRe2rXXr1vrjjz90//336/XXX9dZZ51VpLFzcnK0f/9+rV+/XitWrFBWVlYxZwv4V6+uHfTef2d7PY2ITJo+X9KhRVFeue9zvw+URuQDKBrqIGAH8gEUDXUQsAP5AIqGOgjYgXwAiCVfNla8/fbbMsbk+z1jjNavX68JEyYU6xxO4wOlycA+3ZSekembxQWLJMAZ+QCiRx0E7EE+gOhRBwF7kA8getRBwB7kA0Cs+PJRIN26dZMxJt9XIBBQIBBw/H6kL0nBsYDSzG+3xeL2XoAz8gFEz2/5IOeAM/IBRM9v+SDngDPyAUTPb/kg54Az8gEgFnzZWDFo0CBJhxsf8r5y5fe9aF8ADvHb4oJFEuCMfADR81s+yDngjHwA0fNbPsg54Ix8ANHzWz7IOeCMfAAoLl8+CuTiiy9WlSpVtG/fvrDvxfIRHjRXAIf57bZYhd3e64dlq0t8TkC84PZ3QPT8lg/qIOCMOghEz2/5oA4CzqiDQPT8lg/qIOCMOgigOHzZWFG+fHn17dtXb731VvCxH4FAQPXq1VP16tVVoUIFlS1bVmXKlCnS3Seys7OVkZGhTZs26a+//nLpUwD+47fFRUGLpJTKFb2YEhA3uIgAoue3fFAHAWfUQSB6fssHdRBwRh0Eoue3fFAHAWfUQQBF5cvGCunQ40DeeustSVKPHj00duxYHXXUUTE/z6RJkzRw4EClpaXFfGwg3k2YNEMD+3QL2ea3xYXTIql/7zO9mA4QV7iIAApGHQTsRh0ECkYdBOxGHQQKRh0E7EYdBFAUCV5PoKg6d+6sxo0bS5Jef/11V5oqJKlPnz566KGHXBkbiHdTZy204pljTs9OA8CzBYGCUAcB+1EHAWfUQcB+1EHAGXUQsB91EEC0fNtYIUnXXHONJKlmzZqunufiiy92dXwgntmyuOAiAnBmS84BN9iSD+og4MyWnANusCUf1EHAmS05B9xgSz6og4AzW3IOoGT4vrHCGKPVq1e7ep6mTZvKGOPqOYB4ZsvigosIwJktOQfcYEs+qIOAM1tyDrjBlnxQBwFntuQccIMt+aAOAs5syTkA9/m6saJp06YaMWKEkpKSXD1P2bJlNX78eDVo0MDV8wDxzJbFBRcRgDNbcg64wZZ8UAcBZ7bkHHCDLfmgDgLObMk54AZb8kEdBJzZknMA7vJ1Y4UkPfLIIzr++ONdP88111yjF198UTt27HD9XEC8smVxMWn6fE2cMtfraQBxyZacA26wJR/UQcCZLTkH3GBLPqiDgDNbcg64wZZ8UAcBZ7bkHIB7fN9YUVIOHjyohx9+WNu2bfN6KoCnbFlcfD1vsddTAOKWLTkH3GBLPqiDgDNbcg64wZZ8UAcBZ7bkHHCDLfmgDgLObMk5AHfQWBGh33//XcYYr6cBxAUWF4D9yDngjHwA9iPngDPyAdiPnAPOyAdgP3IOwAmNFRF67rnnFAgEvJ4GEDdYXAD2I+eAM/IB2I+cA87IB2A/cg44Ix+A/cg5gPwkej0BN+3fv19paWnKyspSVlZWVHecyMzM1O7du7VmzRq99957+uKLL2isAI4wafp8SYcWE3nlvs/9PgD/IueAM/IB2I+cA87IB2A/cg44Ix+A/cg5gCNZ0Vixf/9+ffLJJ5oxY4Z+/vlnbdiwQbt37+bRHUAJYHEB2I+cA87IB2A/cg44Ix+A/cg54Ix8APYj5wDy8nVjxcGDB/Xkk0/q+eef1759+ySJZgrAAywuAPuRc8AZ+QDsR84BZ+QDsB85B5yRD8B+5BxALt82VuzatUvdu3fXkiVLwpop3HhkBw0bQMFYXAD2I+eAM/IB2I+cA87IB2A/cg44Ix+A/cg5AMnHjRWXXnqpFi9eLMmdRgoA0WNxAdiPnAPOyAdgP3IOOCMfgP3IOeCMfAD2I+cAfNlY8dFHH+mbb77Jt6HCjTtL0LgBRI7FBWA/cg44Ix+A/cg54Ix8APYj54Az8gHYj5wDpZsvGysmTJgQts0Yo0AgoLZt2+qkk07SUUcdpZSUFFWsWFGJiYlKTCzaR01NTdWbb76p5cuXF3faQKnB4gKwHzkHnJEPwH7kHHBGPgD7kXPAGfkA7EfOgdLLl40VixYtCt5FIvcOFWeccYZefvllnXjiiTE/35AhQ3TppZfq888/j/nYgK1YXAD2I+eAM/IB2I+cA87IB2A/cg44Ix+A/cg5UDoleD2Boti9e7ekw3epaN++vb766itXmiokqWzZsnr44YddGRuw2aTp8/X6++ENSTdd0VN9zu/kwYwAxBo5B5yRD8B+5BxwRj4A+5FzwBn5AOxHzoHSx5eNFSkpKSHvR4wYoXLlyrl6zlatWrk6PmArFheA/cg54Ix8APYj54Az8gHYj5wDzsgHYD9yDpQuvmysOPnkk4OPAJGkDh06uH7OpKQkJST48scFeI7FBVA0vbq6X99ihZwDzsgHUDTUQcAO5AMoGuogYAfyARQNdRBAPPJlp8BFF10U8j4pKalEzvv777/ruOOOK5FzAbZhcQFEb2Cfbr7KBzkHnJEPIHrUQcAe5AOIHnUQsAf5AKJHHQQQj3zZWDFo0CBVq1Yt+H7t2rUlct6GDRsqMTGxRM4F2IjFBRA9v+WDnAPOyAcQPb/lg5wDzsgHED2/5YOcA87IBxA9v+WDnAP282VjRaVKlTRq1Kjg+0mTJpXIeb/99lulpaWVyLkAW7G4AKLnt3yQc8AZ+QCi57d8kHPAGfkAoue3fJBzwBn5AKLnt3yQc8BuvmyskKTrrrtOV199tYwxeuutt1xveDDG6KyzztK6detcPQ9QGrC4AKLnt3yQc8AZ+QCi57d8kHPAGfkAoue3fJBzwBn5AKLnt3yQc8Bevn6uxRtvvKG//vpLs2fP1j/+8Q89//zzrp1r27ZtMsa4Nj5Q2kyaPl/SocVEXrnvc78P4DC/5aOgnKdUrujFlIC4QR0Eoue3fFAHAWfUQSB6fssHdRBwRh0Eoue3fFAHATv59o4VklSuXDlNmTJFnTt31ksvvaS3337btXPNnz9fgUDAtfGB0ojOTaBgEybNCNvmt3w45bx/7zM9mA0QX6iDQMGog4DdqINAwaiDgN2og0DBqIMA4pGvGyskqUKFCpo+fbrOPfdc3XDDDfr0009jfo7t27frvvvui/m4ALiIAAoyddZCK/LhlHMA1EGgINRBwH7UQcAZdRCwH3UQcEYdBBCPPHkUyGOPPRbzMdu0aaP58+fr8ssv1+23364qVaoUa7ysrCwdOHBAmzZt0tdff61du3ZxxwrAJdz+DnBmSz6cPgcAe3IOuMGWfFAHAWe25Bxwgy35oA4CzmzJOeAGW/JBHQTs4UljxSOPPOJak4IxRs8991zMxwTgLlsWSYAbbMkHFxGAM1tyDrjBlnxQBwFntuQccIMt+aAOAs5syTngBlvyQR0E7ODJo0Dat28vY4wrr0Ag4MqYANzH7e8AZ7bkg9vfAc5syTngBlvyQR0EnNmSc8ANtuSDOgg4syXngBtsyQd1EPA/Txorbr75ZklSIBCI+cuNcQGUHFsWSYAbbMnHpOnzNXHKXK+nAcQlW3IOuMGWfFAHAWe25Bxwgy35oA4CzmzJOeAGW/JBHQT8zZPGiv79+6tmzZpenBqAD9iySALcYEs+vp632OspAHHLlpwDbrAlH9RBwJktOQfcYEs+qIOAM1tyDrjBlnxQBwH/SvTipOXKldO1116rUaNGBe8IYYyRdOhuE5UqVVJSUpKSkpIUCARUpkyZEp2fMUaZmZnas2eP0tPTS/TcAA6x5dlpgBvIB2A/cg44Ix+A/cg54Ix8APYj54Az8gHAS540VkjS0KFD9eyzz8oYo+TkZD3yyCO69NJL1ahRIyUkeHIjjXxt3LhRb7zxhp588slg8weAksEiCXBGPgD7kXPAGfkA7EfOAWfkA7AfOQeckQ8AXvGsg6Fx48bq0aOHJOn//u//NGzYMDVp0iSumiokqUGDBnr00Uc1dOhQr6cClEq23N4LcAP5AOxHzgFn5AOwHzkHnJEPwH7kHHBGPgB4wdMuhptvvlnGGDVo0MDLaUTkyiuv9HoKQKnFIglwRj4A+5FzwBn5AOxHzgFn5AOwHzkHnJEPACXN08aKHj16qFmzZlqyZImX04hI8+bNeRQI4CEWSYAz8gHYj5wDzsgHYD9yDjgjH4D9yDngjHwAKEmeP3fjjjvuUFJSktfTKFS1atX0yCOPqHbt2l5PBSi1WCQBzsgHYD9yDjgjH4D9yDngjHwA9iPngDPyAaCkJHo9gVtvvdXrKURsxIgRXk8BKPUmTZ8v6dCiKK/c97nfB0oj8gHYj5wDzsgHYD9yDjgjH4D9yDngjHwAKAme37ECAKJFByrgjHwA9iPngDPyAdiPnAPOyAdgP3IOOCMfANzm6R0rfv75Z91+++2F7teiRQu9/PLLJTAjAH5BByrgjHwA9iPngDPyAdiPnAPOyAdgP3IOOCMfANzkaWPF3r17NWfOHAUCgZDtxhjVq1dP3bt3V7t27dS2bVuPZgggnrFIApyRD8B+5BxwRj4A+5FzwBn5AOxHzgFn5AOAWzxtrMjLGCNJqlSpkv71r3/puuuuU0ICTyoBUDAWSYAz8gHYj5wDzsgHYD9yDjgjH4D9yDngjHwAcEPcNFZIUv369fXNN9+oadOmXk8FgI+wSAKckQ/AfuQccEY+APuRc8AZ+QDsR84BZ+QDQKzFxS0hjDEqW7asPvroI5oqgDjSq2sHr6cQsUnT5+v19z8P237TFT3V5/xOHswIiB/kAyga6iBgB/IBFA11ELAD+QCKhjoI2IF8AIiluGisCAQCuuyyy3T66ad7PRUAeQzs081XiwsWSYAz8gFEjzoI2IN8ANGjDgL2IB9A9KiDgD3IB4BYiYvGCknq06eP11MAkA+/LS5YJAHOyAcQPb/lg5wDzsgHED2/5YOcA87IBxA9v+WDnAPOyAeAWIibxopTTjnF6ykAcOC3xQWLJMAZ+QCi57d8kHPAGfkAoue3fJBzwBn5AKLnt3yQc8AZ+QBQXIleTyBX3bp1vZ4CgALcdEVPSYcWH36QO8/ceefKff/DstUlPicgXhSWD7/kHChJfssHdRBwRh0Eoue3fFAHAWfUQSB6fssHdRBwRh0EUBxx01iRlJTk9RQKNXjwYI0YMUKNGjXyeiqAJ/y2uChokZRSuaIXUwLiBhcRQPT8lg/qIOCMOghEz2/5oA4CzqiDQPT8lg/qIOCMOgigqOLmUSB+8MMPP+jAgQNeTwMoMRMmzQjb5rfbYjnd3qt/7zM9mA0QX7j9HVAw6iBgN+ogUDDqIGA36iBQMOogYDfqIICiiJs7VvjB/v37vZ5CTOzatUtLly7VypUrtWbNGm3ZskVbt25VamqqMjIylJmZqaSkJCUnJ6tChQqqWrWqGjVqpIYNG6px48Zq06aNmjRp4vXHQAmYOmuh0jMyfd+56dSBCoAObaAg1EHAftRBwBl1ELAfdRBwRh0E7EcdBBAtGisitH//fv31119eT6PIvv32W3388ceaNWuWfv31VxljwvbJb1sgEMh3vFq1aqljx47q3bu3Lr30UlWrVi3mc0Z8sGVxwUUE4MyWnANusCUf1EHAmS05B9xgSz6og4AzW3IOuMGWfFAHAWe25BxAyeBRIBF67733lJ2d7fU0orJ7926NHDlSjRo10llnnaWXX35Zv/zyi3JycmSMCXvlyttMkd9+xhht27ZNU6ZM0Y033qi6deuqd+/emjlzphcfEyXAlttiOX0OAPbkHHCDLfmgDgLObMk54AZb8kEdBJzZknPADbbkgzoIOLMl5wDcR2NFBL755hvdd999Xk8jYhkZGXr66afVpEkT3X///dqwYUNI80QgECjwFck+gUAgOObBgwf1+eefq3v37mrfvr2+/PJLLz8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",
      "text/plain": [
       "<Figure size 2100x2333.33 with 3 Axes>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig.savefig(\"end_to_end_fsdp.pdf\", bbox_inches=\"tight\", dpi=1000)\n",
    "fig"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}