From 2a13e09273d7fe17b0bd21c8d79d018dc7da35ea Mon Sep 17 00:00:00 2001 From: Anatoliy Date: Sat, 1 Mar 2025 09:55:06 +0400 Subject: [PATCH] lab7 done. --- lab7/lab7.ipynb | 218 ++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 218 insertions(+) create mode 100644 lab7/lab7.ipynb diff --git a/lab7/lab7.ipynb b/lab7/lab7.ipynb new file mode 100644 index 0000000..df553ae --- /dev/null +++ b/lab7/lab7.ipynb @@ -0,0 +1,218 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "from pandas import DataFrame\n", + "import numpy as np\n", + "import skfuzzy as fuzz\n", + "import matplotlib.pyplot as plt\n", + "\n", + "df: DataFrame = pd.read_csv(\".//static//csv//Yamana_Gold_Inc._AUY.csv\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Формирование базы нечетких правил\n", + "Сформируем базу нечетких правил, которые связывают входные и выходные переменные." + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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u346n5txGRkby66+/8uGHH761zxCoHe4BPvzww7duO3r0aG7evMmaNWuoX79+sgY7SCteXl4cPXrUoAB88uSJQZ+ulIorrhMaPlgIkb7kioUQ2Uj+/PnZtm0b9+7d48iRI0ybNg0/Pz8WL15MxYoVqVixYqIfxhs3bkzOnDnZuHEjjRo1SlZH8JSYM2cOpUqVYuDAgfz8888Gjx09etSgrXZcx/IrV65w/Phxqlevrn/szz//pEGDBsn6lvnPP/9k0qRJadppPDGRkZF89NFHtG3blkuXLrFw4UJq1qwZb0SoAwcOUKpUKbp3754mx23SpAmbN2+mZcuWNG7cmOvXr7N48WJKly7Nixcv9Nvt2rVL/y21tbU1a9as0T92584dQkNDWbNmDZ06deLkyZOMHTuWnTt3snjx4iQLuCJFijBx4kRGjx5NYGAgLVq0wN7enuvXr7NlyxZ69+6tP26/fv0oU6ZMkiM+2dnZMWvWLNq2bUuvXr2S9cH5dblz52b06NH4+PjQsGFDmjVrpj8f1apV04+gZGJiwqJFi2jatCkVK1ake/fuuLm5cfHiRf1VlJR613N77tw5fHx8uH37No0bNzY4N3Ed8Ldu3ar/QsDb25vly5fTvn17SpYsmeS+9+zZw6xZs/jxxx/T/apdQkaMGMGaNWto0KCBfrjb5cuXU6BAAZ48efJOVx8qVqyIqakp3333HcHBwVhaWvLhhx+m+d8sIUR8UlgIkQ25ubnRpk0btm/fzoULF5L1QcfCwoJ27dqxcOHCBDttp1aePHmYNWsWXbt25bfffjPolzFo0KAEn7N27Vpu375tMPmVTqdL9uhObm5uCbbVTw/z589n7dq1jBs3jqioKDp06MDcuXMT/OA0efLkRJuPpVS3bt0ICgpiyZIl7Nq1i9KlS7NmzRo2btxo8HPz9fXl/PnzAPGGJI3TuXNnOnXqxF9//cXjx49Zu3Ytn3322VszjBo1iuLFizNr1ix9O/78+fPz8ccf6wurH374gcOHD3P48OG3vvZPP/2UBg0a0L9/f86ePWswlG5yjB8/nty5czN//nyGDh2Ks7MzvXv3ZvLkyQZ9cry8vNi3bx8+Pj7MmDGD2NhYihQpEq8fS0q8y7ndvHkzmzdvBmDJkiUsWbIk3jZDhw6lYsWK+mGNx44dy+jRo5Pc7+PHj+natSvt27dPdBSm9JY/f3727dvHoEGDmDx5Mrlz56Z///7Y2toyaNCgdxqtytXVlcWLF+Pr60vPnj2JiYlh3759UlgIkQF0ivR4EkIk09ChQ1mxYgVBQUFpOt/Euxo/fjz79+/P1LPqrlq1iu7du3PixIkER87JLOrWrUvdunUTnXU8MDCQQoUKSSdZDSTn99zDw4NVq1ZlmXkbhgwZwpIlS3jx4kWaFdlCiPQnfSyEEMkSHh7OmjVraN26daYoKoQQWcPLly8N7j9+/Jgff/yRmjVrSlEhhJGRplBCiCQ9ePCAPXv2sGnTJh4/fvxOo9mkl6JFi8abAE28mwYNGiTZCdvOzk6z5jLZXfny5d86bHLLli3jzV9iLDw9Palbty6lSpXi/v37rFixgpCQEMaOHat1NCFECklTKCFEkvbv30+9evXIkycPY8eOZcCAAVpHMirG0hRKCK2MGTOGTZs2cfv2bXQ6HZUrV8bb2ztNh/kVQmQMKSyEEEIIIYQQqSZ9LIQQQgghhBCpJoWFEEIIIYQQItWMovN2bGwsd+/exd7e/p0myxFCCCGEEEKknKIoPH/+HHd3d0xMkr4mYRSFxd27d8mfP7/WMYQQQgghhMiWbt26Rb58+ZLcxigKC3t7e0B9QQ4ODhqnEUIIIYQQInsICQkhf/78+s/jSTGKwiKu+ZODg4MUFkIIIYQQQmSw5HRHkM7bQgghhBBCiFSTwkIIIYQQQgiRalJYCCGEEEIIIVItxYXFwYMHadq0Ke7u7uh0OrZu3frW5+zfv5/KlStjaWlJ0aJFWbVq1TtEFUIIIYQQQmRWKS4sQkNDqVChAgsWLEjW9tevX6dx48bUq1cPPz8/hgwZwueff86uXbtSHFYIIYQQQgiROaV4VKhGjRrRqFGjZG+/ePFiChUqxIwZMwAoVaoUhw8fZtasWXh5eaX08EIIIYQQQohMKN2Hmz169Cj169c3WOfl5cWQIUPS+9BpavduePhQ6xRZm50dNG4MpqZaJxFCCCGMUGQkBAbC/fsQFQXR0eq/ry8ritYpRUqVLw9ly2qdIlnSvbAICgrCxcXFYJ2LiwshISG8fPkSa2vreM+JiIggIiJCfz8kJCS9Y77Vt9/C4cNap8j6hg+HqVO1TiGEEEJkYg8ewN9/w5Urr25Xr8LNmxAbq3U6kdYmTJDCIjV8fX3x8fHROoaBKlXA0lLrFFlXdDQcOADTp0OLFvD++1onEiLzuvjoIi62LjhZO2kdRQiRESIj1UJi1y71duZM4tva2EDevGBhAWZmYG5u+K+JDAhqdDw8tE6QbOleWLi6unL//n2Ddffv38fBwSHBqxUAo0ePZtiwYfr7cVOJa2n2bE0Pny107Qo//ADduoGfn/q3UQhh6K/rf9Hgxwa8n/99DnU/pHUcIUR6efIE1q+HnTth3z548cLw8fLloUwZKFIEihZ99a+LCyRjhmQh0kO6Fxaenp7s2LHDYN3u3bvx9PRM9DmWlpZYyuWBbGfOHNi7Fy5fhtGj1ftCiFdiYmMYumsosUosh28e5sqTKxR1Lqp1LCFEWjp5EhYuhJ9+gvDwV+vz5IGPPwYvL2jQQC0ghMhkUnw97MWLF/j5+eHn5weow8n6+flx8+ZNQL3a0KVLF/32X3zxBdeuXWPEiBFcvHiRhQsX8vPPPzN06NC0eQUiy8iRA5YvV5fnzoX9+7VMI0Tms8pvFefun9Pf/8X/Fw3TCCHSTHg4rF4NNWpAtWqwcqW6rkIF8PWF06fh3j348Ufo1EmKCpFppbiwOHnyJJUqVaJSpUoADBs2jEqVKjFu3DgA7t27py8yAAoVKsTvv//O7t27qVChAjNmzGD58uUy1KxIUMOG0KuXuty9Ozx/rm0eITKL5xHP+WbfNwBUcasCwEb/jVpGEkKk1pMn6iX6fPnUdsDHj6t9Izp2hCNH1L4Uo0ZBpUrSN0IYBZ2iZP5xx0JCQnB0dCQ4OBgHBwet44h09vy52nQ0MBD69IHFi7VOJIT2xv41lomHJlLEqQgHuh2gwOwCxCqxXBt0jUJOhbSOJ4RIiYgIWLAAJk6Ep0/VdQUKwBdfQM+earMnITKJlHwOl/JXZDr29vD99+rykiXw55/a5hFCa7eCbzHjqDrJ6NQGU8nrkJe6HnUB+CVAmkMJYTQUBX7+GUqVgi+/VIuKsmVh82a4dk29eiFFhTBiUliITKlePRg4UF3u2ROePdM0jhCa+vqvr3kZ/ZJaBWrRsmRLANqUagNIcyghjMaRI+pY6u3awfXr4Oamdiz084OWLWV2WJElSGEhMi1fX3XkvNu3Qfr6i+zq5N2T/HjuRwBmes1E9/9hJFuVaoUOHcfvHOfGsxtaRhRCJOXRI+jQAWrWhH/+AVtb8PFRh0Ds2VMKCpGlSGEhMi1bW1i1Sh2Oe9UqdRhvIbITRVEYtkud06dz+c5Uda+qf8zFzoXaBWsDsDlgsyb5hBBv8ccfUK6cOh+FiYk6OsnlyzBunPqfnBBZjBQWIlP74APo21ddHjFCbZ4qRHax5eIWDt08hJWZFZM+nBTv8TalpTmUEJnSixdqR+xPPoGgILVPxfHjsHSp2gRKiCxKCguR6Xl7g52dOmfQRvn8JLKJyJhIRuweAcBXnl+R3zF/vG3imkMdvX2U2yG3MzqiECIh//yjDg+7ZIl6f8gQOHUKqlTRNJYQGUEKC5Hp5ckDX32lLo8ZA1FR2uYRIiMsOL6Aq0+v4mrnysiaIxPcxt3enQ8KfABIcyghNBcZCd98o15qv3JFnZtizx6YNQusrbVOJ0SGkMJCGIUvv1QLjKtXYdkyrdMIkb6eRzxnwsEJAEysNxE7C7tEt40bHWqT/6YMySaESMD9++pwhpMmQWysOjv2v//CRx9pnUyIDCWFhTAKdnZqkyhQB9OQGblFVvbD2R94Gv6UYs7F6FaxW5Lbti7dGoDDNw9z7/m9DEgnhDBw9ixUrw5//w2Ojuo8FT/+CDlyaJ1MiAwnhYUwGr16qcPPPngAM2dqnUaI9BGrxDL3+FwABtUYhKlJ0kNR5nPIh2c+TxQUaQ4lREbbulVt+nTzJhQrpnbQ/vRTrVMJoRkpLITRMDeHyZPV5enT1SvPQmQ1f179k/8e/4eDpQNdK3RN1nPiRofaFCDNoYTIEIqiTrbUqhWEhkL9+nDsGBQvrnUyITQlhYUwKm3aQLVq6kh+EyZonUaItDfn2BwAelTsgb2lfbKe07qU2hzq4I2D3H8hFbcQ6So8HLp0UUcTURTo3x927AAnJ62TCaE5KSyEUdHp4Lvv1OUlS9SBN4TIKi49usTOKzvRoWNA9QHJfl7BHAWpnrc6sUosWy5uSceEQmRzDx6onbTXrFFnzF64EObPVy+pCyGksBDGp149aNQIoqPVkf2EyCrmHZ8HQJPiTSjiXCRFz5XRoYRIZ3fuQO3a6jwVTk7w55+vZnAVQgBSWAgj5eurXr3YsAFOnNA6jRCpFxwezCq/VQAMrjE4xc+P62exL3AfD0MfpmU0IcTNm1CnDly6BAUKqMXFhx9qnUqITEcKC2GUKlRQhwkHGDlSbeYqhDH7/sz3hEaFUiZ3GT4slPIPLIWcClHFrQqxSixbL25N+4BCZFfXrqlXKq5ehcKF4eBB6aQtRCKksBBGa8IEsLCAffvUK9JCGKuY2Bjmn5gPqEPM6nS6d9pP3FWLjf4b0yybENnaf/+pRcWNG2oxceAAFCyodSohMi0pLITRKlgQBvy/f+vIkepkp0IYo98v/861p9dwsnKiU/lO77yfuNGh/rr+F4/DHqdVPCGypwsX1KLizh0oXVotKvLl0zqVEJmaFBbCqI0Zo050evYsrFundRoh3k3cELO9KvfCxtzmnfdTLGcxKrhUIEaJYdulbWkVT4js5+xZqFtXnTCpQgXYvx9cXbVOJUSmJ4WFMGo5c8KoUeryN99ARIS2eYRIqfMPzvPX9b8w0ZnQv3r/VO/v09LqrL8yOpQQ7+jcOXX4wUePoGpV+OsvyJ1b61RCGAUpLITRGzQI8uZVm8AuXKh1GiFSZu6xuQC0LNmSAo4FUr2/uH4We67t4enLp6nenxDZSmAgNGwIT5+Cpyfs2QPOzlqnEsJoSGEhjJ6NDfj4qMsTJ0JwsLZ5hEiux2GPWXNuDfBuQ8wmpESuEpTNU5ao2Ch+vfRrmuxTiGzh0SPw8oJ796BsWXU2bUdHrVMJYVSksBBZQteuUKoUPHnyamZuITK75aeX8zL6JZVcK1GzQM0026++OVSANIcSIllCQ6FxY3UUqAIFYOdOyJFD61RCGB0pLESWYGamTpoHMHu2OoiHEJlZdGw0C04sAFI3xGxC4ppD/Xn1T4LD5RKeEEmKioJPP4Xjx9VmT7t2qe1rhRApJoWFyDKaNYMPPoCXL181jRIis9p6cSu3Qm6R2yY37cu2T9N9l85dmlK5ShEZE8lv//2WpvsWIktRFOjVC/74A6yt4fffoWRJrVMJYbSksBBZhk4HU6eqyytWQECAtnmESEpcp+0+VfpgZWaV5vuX0aGESIYxY2D1ajA1hY0b4b33tE4khFGTwkJkKe+/Dy1aqJPljRmjdRohEnbm3hkO3TyEmYkZfav1TZdjxDWH2nllJyERIelyDCGM2ty5MGWKurxsmdrHQgiRKlJYiCxn8mQwMYGtW+HIEa3TCBHf3OPq1YpPS3+Ku717uhyjbJ6yFM9ZnIiYCH7/7/d0OYYQRmvHDhgyRF2eNAm6d9c0jhBZhRQWIsspVQp69FCXR45Um9AKkVk8CH3Aun/VaeLTaojZhOh0OtqUUq9ayOhQQrzm8mX47DP1P4fevWH0aK0TCZFlSGEhsiQfH7Uf3pEj8Jv0XRWZyJKTS4iMiaRG3hrUyFcjXY/1aRm1n8WOyzt4EfkiXY8lhFF4/lxtLxscrLadnTdP7aAnhEgTUliILMnd/dVV7lGjIDpa0zhCABAZE8mik4sAdYjZ9FbBpQJFnIoQHh3Ojss70v14QmRqsbHqpEf+/up/Eps2gYWF1qmEyFLeqbBYsGABHh4eWFlZUaNGDY4fP57k9rNnz6ZEiRJYW1uTP39+hg4dSnh4+DsFFiK5RoxQhyQPCFAH/RBCa5v8N3HvxT3c7Nz0navTk06n0x9HRocS2d7kybBli1pMbN4Mbm5aJxIiy0lxYbFhwwaGDRuGt7c3p0+fpkKFCnh5efHgwYMEt1+3bh2jRo3C29ubgIAAVqxYwYYNGxgjQ/aIdJYjB3zzjbrs7Q1hYZrGEUI/xGzfqn2xMM2Yb0rjhp39/fLvhEXJm0BkU9u3w7hx6vLChVAjfZshCpFdpbiwmDlzJr169aJ79+6ULl2axYsXY2Njw/fff5/g9n///TcffPABn332GR4eHnz88cd06NDhrVc5hEgL/fpBwYLqTNxz52qdRmRnx24f49idY1iYWtCnap8MO25lt8p45PAgLCqMPy7/kWHHFSLTuHQJOnZUO2v37Qs9e2qdSIgsK0WFRWRkJKdOnaJ+/fqvdmBiQv369Tl69GiCz3n//fc5deqUvpC4du0aO3bs4JNPPkn0OBEREYSEhBjchHgXlpYwYYK6PGUKPH6sbR6RfcUNMftZuc/IY5snw44ro0OJbC0kRO2sHRICNWvC7NlaJxIiS0tRYfHo0SNiYmJwcXExWO/i4kJQUFCCz/nss8/49ttvqVmzJubm5hQpUoS6desm2RTK19cXR0dH/S1//vwpiSmEgY4doUIFdRAQX1+t04js6O7zu/x84WcABlVP/07bb4rrZ/Hbpd94GfUyw48vhCYUBbp1g4sXIW9e6awtRAZI91Gh9u/fz+TJk1m4cCGnT59m8+bN/P7770yI+xo5AaNHjyY4OFh/u3XrVnrHFFmYicmryVXnzYMbN7TNI7KfRScWER0bTa0CtajkVinDj189b3XyO+QnNCqUnVd2ZvjxhdDE4sWGnbXf+FJUCJH2UlRY5MqVC1NTU+7fv2+w/v79+7i6uib4nLFjx9K5c2c+//xzypUrR8uWLZk8eTK+vr7ExsYm+BxLS0scHBwMbkKkhpcX1KsHkZGv+u8JkRHCo8NZcmoJkDFDzCbk9dGhfgn4RZMMQmSo8+dh2DB1ecoUqF5d2zxCZBMpKiwsLCyoUqUKe/fu1a+LjY1l7969eHp6JvicsLAwTEwMD2NqagqAIlMiiwyi08F336nLP/4I585pm0dkH+vPr+dh2EMKOBagRckWmuWIKyx+vfQr4dEy3LfIwl6+hA4dIDwcGjaEwek3w70QwlCKm0INGzaMZcuWsXr1agICAujbty+hoaF0794dgC5dujB69Gj99k2bNmXRokWsX7+e69evs3v3bsaOHUvTpk31BYYQGaFaNWjbVm12O2qU1mlEdqAoin6I2f7V+mNmYqZZlvfyvUde+7w8j3zO7qu7NcshRLobMUK9YpEnD6xapbaHFUJkiBT/L9euXTsePnzIuHHjCAoKomLFiuzcuVPfofvmzZsGVyi++eYbdDod33zzDXfu3CF37tw0bdqUSZMmpd2rECKZJk1Sm9r+8Qfs26c2jxIivRy+eZgzQWewNrOmZyVth7g00ZnQulRr5h6fy6aATTQt0VTTPEKki99+g/nz1eXVq6VfhRAZTKcYQXukkJAQHB0dCQ4Olv4WItUGDIAFC9QrGMeOqc2khEgPn278lE3+m+hduTdLmi7ROg6Hbhyi9qraOFo68mD4gwybpE+IDHH3LpQvr44rPnQozJypdSIhsoSUfA6X64Mi2xk7Fmxt4cQJdfRBIdLDzeCbbAnYAsDAGgM1TqP6oMAHuNm5ERwRzJ5re7SOI0TaiY2FLl3UoqJiRRlbXAiNSGEhsh0XF/jqK3V5zBiIitI2j8iaFhxfQIwSw0eFPqJsnrJaxwHU5lCtSrUCYJO/VNUiC5k+HfbuBRsb+OkndXZUIUSGk8JCZEtffqn267tyBZYv1zqNyGrCosJYdnoZoN0Qs4mJGx1q68WtRMVIVS2ygJMn4euv1eU5c6BkSW3zCJGNSWEhsiV7+1fzWfj4wIsX2uYRWcuac2t4Gv6Uwk6FaVyssdZxDNQqUIs8tnl4Gv6Uv67/pXUcIVInPFxtAhUdDW3aQE9tB0kQIruTwkJkW717Q9GicP++9PETaef1IWYHVBuAqUnmGlbb1MSUViWlOZTIIiZMgIAAtY3rkiUyGocQGpPCQmRb5ubq8LMA06bBgwfa5hFZw1/X/+LCwwvYWdjRo1IPreMkKK451JaLW4iOjdY4jRDv6PTpVzOfLloEzs7a5hFCSGEhsrc2baBqVbUp1IQJWqcRWcGcY3MA6FahG45WjhqnSVgdjzrkssnF45ePORB4QOs4QqRcZCR07w4xMerMpy1bap1ICIEUFiKbMzGBqVPV5cWL4epVbfMI43b1yVW2/7cdgAHVB2icJnFmJma0LKl+ENvov1HjNEK8g+++g3PnIGdOmDdP6zRCiP+TwkJke/XqQcOGat+/uIFFhHgX84/PR0GhUdFGlMhVQus4SYprDrU5YDMxsTEapxEiBc6ff3WJed48dYg/IUSmIIWFEMCUKWqfvw0b1JELhUip5xHP+d7veyDzDTGbkHoe9XC2duZh2EMO3TykdRwhkic6Gnr0UCcgatYM2rfXOpEQ4jVSWAgBVKgAnTqpyyNHgqJom0cYn9VnVxMSEUKJnCX4uMjHWsd5K3NTc1qUaAHAxgvSHEoYiVmz4MQJcHRUO2zLKFBCZCpSWAjxf99+CxYW8Ndf8OefWqcRxiRWidUPMTuw+kBMdMbxp1XfHOqiNIcSRuDSJRg7Vl2eNQvc3bXNI4SIxzj+9xMiA3h4wID/97cdORJiYzWNI4zIriu7uPzkMo6WjnSt2FXrOMn2UeGPyGGVg6AXQfx962+t4wiRuNhYdfK7iAj4+GPo1k3rREKIBEhhIcRrxoxRr7CfPQs//aR1GmEs4oaY7VGpB3YWdhqnST4LUwual2gOyGR5IpNbvBiOHAE7O1i6VJpACZFJSWEhxGty5oRRo9Tlb75RvxwTIikXH11k19Vd6NBl6iFmExPXHGpTwCZiFblMJzKhBw9eDdk3eTIULKhtHiFEoqSwEOINgwapTXcDA9W+gUIkZd4xdQz9ZiWaUdipsMZpUq5B4QY4WDpw9/ldjt46qnUcIeIbNQqePYNKlaBfP63TCCGSIIWFEG+wsQEfH3V54kQIDtY2j8i8noU/Y/XZ1YBxDDGbEEszS5qVaAbALwG/aJxGiDccPQorV6rLCxaAqam2eYQQSZLCQogEdOsGpUrB48evZuYW4k3fn/me0KhQyuYpSz2PelrHeWdtSv2/OZS/NIcSmUhMzKsrFD16gKentnmEEG8lhYUQCTAzA19fdXnWLLh7V9s8IvOJiY1h3nG1GdSg6oPQGXFnUq+iXthZ2HEr5BYn7pzQOo4QqsWLwc8PcuRQZzEVQmR6UlgIkYhmzeD99+Hly1dNo4SIs/2/7QQ+C8TZ2pmO5TtqHSdVrMysaFq8KSCjQ4lM4vUO25MmQe7c2uYRQiSLFBZCJEKne9UMasUKuHhR2zwic4kbYrZX5V7YmNtonCb14kaH2ui/EUWmnhdaGzlS7eBWqRL06aN1GiFEMplpHUCIzOyDD6B5c9i2TZ3jYvNmrROJzODf+/+yL3AfpjpT+lXLGqPUNCzaEBtzG24E3+DUvVNUda+qdSSRXR05AqtWqcsLF0qHbSMSExNDVFSU1jFECpmbm2OaRu8zKSyEeIvJk+G332DLFnWAEuk/KOYemwtAy1ItKeBYQOM0acPG3IYmxZvw84Wf2eS/SQoLoY3oaOjfX13u2RPee0/bPCJZFEUhKCiIZ8+eaR1FvKMcOXLg6uqa6v6CUlgI8RalS0P37mpzqBEj4OBBmfQ1O3sU9og1/64BYHCNwRqnSVttSrXh5ws/s9F/I74f+Rp1h3RhpBYvhrNnwcnp1QgaItOLKyry5MmDjY2N/O0wIoqiEBYWxoMHDwBwc3NL1f6ksBAiGXx8YN06OHwYtm+Hpk21TiS0svz0csKjw6nsVpkP8n+gdZw09UmxT7A2s+ba02v4BflRya2S1pFEdvLgAXzzjbo8ebJ02DYSMTEx+qIiZ86cWscR78Da2hqABw8ekCdPnlQ1i5LO20IkQ968MPj/X06PGqUOry6yn6iYKBacWAAY/xCzCbG1sOWTYp8AMjqU0ICPj9phu3Jl6NVL6zQimeL6VNjYGP8gFtlZ3PlLbR8ZKSyESKaRI8HZGfz9YfVqrdMILWy9uJXbIbfJY5uH9mXbax0nXcjoUEITFy/CkiXq8owZ0mHbCGW1L1qym7Q6f1JYCJFMOXK8GlZ93Dh1fguRvcQNMdunSh8szSw1TpM+GhdrjKWpJZefXObfB/9qHUdkFyNGqJeCmzWDunW1TiNEplWmTBkePnxIcHAwxYoV4/nz51pHMiCFhRAp0K8fFCgAd+7A3LlapxEZ6dTdUxy5dQQzEzP6Vu2rdZx0Y29pT6NijQDYeGGjxmlEtrBvnzr0nqkpfPed1mlENtKtWzdatGgRb/3+/fvR6XSZcpSrrl274u7ujrOzM5988gn29vZaRzIghYUQKWBlBRMnqsu+vvDkibZ5RMaZe1ytJNuWaYubfepGzcjs2pSS5lAig8TGwldfqctffAElS2qbR4hMbsSIETx+/JiHDx8yZ84crePE806FxYIFC/Dw8MDKyooaNWpw/PjxJLd/9uwZ/fv3x83NDUtLS4oXL86OHTveKbAQWvvsMyhfXu1jKKMhZg/3X9xn/fn1QNYbYjYhTYo3wcLUgkuPL+H/0F/rOCIrW7cOTp8Ge3vw9tY6jRDxrFq1ihw5chisq127NjqdDj8/PwAOHjxIqVKlsLGxwdHRES8vLy5fvqzf3sPDg9mzZ+vvf/PNN+TLl4/AwMBkH+P1qygODg44OzvTuXNndDodW7duTdsXnQopLiw2bNjAsGHD8Pb25vTp01SoUAEvLy/9+LdvioyMpEGDBgQGBrJp0yYuXbrEsmXLyJs3b6rDC6GF16/Wz5sHN29qm0ekvyWnlhAZE0mNvDWonre61nHSnaOVIx8X+RhQr1oIkS5evoQxY9TlMWNkeNksQlEgNFSbW0ZcYN28eTNnzpwxWJc3b17mz5/PhQsXOHz4MCYmJvTp0yfB58+YMYMlS5awe/duPDw8kn2MN506dYpff/31nV5DekpxYTFz5kx69epF9+7dKV26NIsXL8bGxobvv/8+we2///57njx5wtatW/nggw/w8PCgTp06VKhQIdXhhdCKlxfUqwcREWpHbpF1RcZEsujkIiB7XK2I82npTwEZdlakozlz4NYtyJ//1XjewuiFhYGdnTa3sLCU592+fTt2dnYGt0aNGiW4bVRUFCNHjmTkyJEG64sUKcJHH31EoUKFKFasGG5ubsQkMC798uXL+fbbb9m5cyelSpVK0THeNGzYMIYPH57MV5lxUlRYREZGcurUKerXr/9qByYm1K9fn6NHjyb4nF9//RVPT0/69++Pi4sLZcuWZfLkyQn+wIUwFjrdq6sWP/wA585pm0ekn40XNhL0Igh3e3f9UKzZQdPiTTE3MefCwwsEPAzQOo7Iah4+VCfBA/Xf/0/QJURGq1evHn5+fga35cuXJ7jtggULcHR0pGPHjvEeu3nzJnZ2dtja2nL8+HFWrVpl8Pi2bdvo06cP7u7ulC1bNtE8SR0jztatW7l27Rpffvll8l5kBkpRYfHo0SNiYmJwcXExWO/i4kJQUFCCz7l27RqbNm0iJiaGHTt2MHbsWGbMmMHEuB6wCYiIiCAkJMTgJkRmU60atG2rXnodPVrrNCI9KIqiH2K2b9W+mJuaa5wo4zhZO1G/sPolkly1EGnOxweeP1cnw/vsM63TiDRkYwMvXmhze5c5+mxtbSlatKjBLaHm+k+fPmXChAnMnDkzwTkf3N3d8fPz48CBAzg5OTFlyhSDx48cOcKGDRvQ6XSMHz8+wSxvOwaoVzRGjBjBpEmT9DNmZybpPipUbGwsefLkYenSpVSpUoV27drx9ddfs3jx4kSf4+vri6Ojo/6WP3/+9I4pxDuZNAnMzGDHDti/X+s0Iq0du3OME3dPYGlqSZ8qCbeXzcrimkNJPwuRpi5ehLjPADNmgIkMUJmV6HRga6vNLT3n6JswYQK1atWidu3aCT5uZmZG0aJFqVmzJl999RVr1641eHzUqFG0adOGVatWMWvWLE6cOJHiYwAsWrQIOzs7OnfunLoXlE5S9G7OlSsXpqam3L9/32D9/fv3cXV1TfA5bm5uFC9eHNPXZtEsVaoUQUFBREZGJvic0aNHExwcrL/dunUrJTGFyDBFi0Jc/6yRIzOm45jIOHFXKz4r9xm5bbNfx9LmJZtjZmLGvw/+5b/H/2kdR2QVI0fKZHjCqISFhbF06VKmTp2a4OPbt2/nyJEj3Lx5k7///pupU6dSqVIlg22cnZ0BqF69OkOGDKF79+4Gn4Pfdow4U6dOZcaMGZl2pvMUFRYWFhZUqVKFvXv36tfFxsayd+9ePD09E3zOBx98wJUrV4iNjdWv+++//3Bzc8PCwiLB51haWuLg4GBwEyKzGjtW/abk+HH45Ret04i0cifkjr4J0KAagzROow1na2c+LPQhIM2hRBo5ehR+/VUmwxNGJSoqiu7du1O8ePEEH799+zZdu3alWLFitGzZkrx588a7YvE6Hx8fYmNjDZpEve0YcerVq0e9evXe6XVkCCWF1q9fr1haWiqrVq1S/P39ld69eys5cuRQgoKCFEVRlM6dOyujRo3Sb3/z5k3F3t5eGTBggHLp0iVl+/btSp48eZSJEycm+5jBwcEKoAQHB6c0rhAZwttbUUBRihVTlMhIrdOItPD13q8VxqPUXllb6yiaWnZqmcJ4lEqLK2kdRWQFH32k/rHs2VPrJCKNvHz5UvH391devnypdRSRCkmdx5R8Dk9xw8Z27doxffp0xo0bR8WKFfHz82Pnzp36Dt03b97k3r17+u3z58/Prl27OHHiBOXLl2fQoEEMHjyYUaNGpVVtJITmvvwS8uSBy5chkcEkhBEJjw5nyaklQPYaYjYhLUq2wFRnypmgM1x9clXrOMKY7d8Pe/eCubl6qVcIkeXoFCXztwoPCQnB0dGR4OBgaRYlMq0FC2DAAHBxgStX1DG1hXFaeWYlPX7tQQHHAlwddBUzEzOtI2mq/g/12Xt9L9/V/44RH4zQOo4wRooCtWvD4cPQvz/Mn691IpFGwsPDuX79OoUKFcLKykrrOOIdJXUeU/I5XIZiECKN9OoFRYrA/fswa5bWacS7Ul4bYnZAtQHZvqgAGR1KpIE//1SLCiurV7NtCyGyHCkshEgjFhav5nuaOhUePNA2j3g3h24e4uz9s1ibWdOzck+t42QKLUq2wERnwsm7Jwl8Fqh1HGFsFAW++UZd7tcP3N21zSOESDdSWAiRhtq0gapV1Yl6kpgDUmRicVcrulTogrO1s8ZpMgcXOxdqF1THVf/FX4Y+Eyn0669w8qQ6fN7IkVqnEUKkIykshEhDJiavRlBcvBiuSl9Xo3Lj2Q22XtwKwMDqA7UNk8lIcyjxTmJjX3XUHjxYHeVCCJFlSWEhRBr78ENo2BCiol5d/RfGYcGJBcQqsdQvXJ8yecpoHSdTaVmyJTp0HLtzjJvBN7WOI4zFxo3w77/g6AhffaV1GiFEOpPCQoh0MGUK6HSwfj2cOqV1GpEcoZGhLDu9DJAhZhPiZu9GzQI1AdgcsFnjNMIoREeDt7e6/OWX4OSkbR4hRLqTwkKIdFChAnTsqC7LlC3GYc25NTwLf0YRpyJ8UuwTreNkSnHNoWQWbpEsa9fCpUuQM6faDEoIkeVJYSFEOpkwQR0pas8edaRFkXkpisLc43MBtW+FiU7+NCakValWABy5dYQ7IXc0TiMytchI8PFRl0eOBJmDSogMNW/ePCZMmADAggUL+CqDmiLK/55CpBMPD3UeKFD/X42N1TSOSMKea3vwf+iPnYUd3Sp20zpOppXXIS/v538fkOZQ4i1WroTr19UZQ+P+EAqRCQUFBTFw4EAKFy6MpaUl+fPnp2nTpuzdu1fraKnStm1bVq9ejbm5ORMnTqRnz4wZPl0KCyHS0ddfq1/U+fmp/S1E5hR3taJ7xe44WjlqnCZz0zeHCpDmUCIREREwaZK6PGYM2Nhom0eIRAQGBlKlShX++usvpk2bxr///svOnTupV68e/Y28IHZxceG///7jxo0b3Lp1i1KlSmXIcaWwECId5cz5qo/F11+r/9+KzOXKkyv8/t/vgAwxmxxxzaEO3TjEvef3NE4jMqVVq+DWLXUivN69tU4jRKL69euHTqfj+PHjtG7dmuLFi1OmTBmGDRvGP//8A4BOp2PRokU0atQIa2trChcuzKZNhl+s3Lp1i7Zt25IjRw6cnZ1p3rw5gYGBBtsEBgai0+ni3Z49e6bfRqfTsXXrVoPn1a1blyFDhujve3h4MHv2bP39vXv3otPpaNGiRbznmJiY4O7uztWrVzE3N6dixYqp+GkljxQWQqSzwYPBzQ0CA9W5LUTmMv/4fBQUPin2CcVyFtM6TqZXwLEANfLWQEFhy8UtWscRmU1kJEyerC6PHAlWVtrmERlOURRCI0M1uSmKkuycT548YefOnfTv3x9bW9t4j+fIkUO/PHbsWFq3bs3Zs2fp2LEj7du3JyAgAICoqCi8vLywt7fn0KFDHDlyBDs7Oxo2bEhkZGS8/e7Zs4d79+7xyy+pn2w0NjaWL7/8Ejs7uyS3Gz58OFYZ9F40y5CjCJGN2diofRh791Y7dHfrpg7pLrQXEhHC92e+B2SI2ZT4tPSnHLtzjE3+m+hXrZ/WcURmsno13LwJrq7Qq5fWaYQGwqLCsPNN+oNuenkx+gW2FvGLhIRcuXIFRVEoWbLkW7f99NNP+fzzzwGYMGECu3fvZt68eSxcuJANGzYQGxvL8uXL0el0AKxcuZIcOXKwf/9+Pv74YwAi/t9kwdXVFVdXV5ydnd/lJRpYvXo1ERERNG/enBcvXiS4zb59+/j777/5/PPP2bdvX6qP+TZyxUKIDNC9O5QsCY8fw7RpWqcRcVb5reJ55HNK5ipJg8INtI5jNFqXbg3AgRsHeBD6QOM0ItOIijK8WmFtrW0eIZKQkqsbnp6e8e7HXbE4e/YsV65cwd7eHjs7O+zs7HB2diY8PJyrV6/qn/P48WMAHN4yQlqHDh30+7Gzs+PQoUMJbhcWFsY333zD1KlTMTNL+DqBoih8+eWXeHt745hB32jKFQshMoCZGfj6QsuWMHOmOkiKm5vWqbK3WCWWecfnATCo+iD9N03i7TxyeFDVvSon755kS8AW+lTto3UkkRn8+KPa5tPFRfpWZGM25ja8GJ3wt+cZcezkKlasGDqdjosXL6bqmC9evKBKlSqsXbs23mO5c+fWL1+7dg0LCwvc3d2T3N+sWbOoX7++/n7HuEmx3jBt2jRKlChB06ZNE21W9cMPPxAaGsoXX3zBpLgBFdKZFBZCZJDmzeH99+Hvv2H8eFiyROtE2dsfl//gypMrOFo60rlCZ63jGJ1PS3/Kybsn2ei/UQoLoV6tiPvgMny4jASVjel0umQ3R9KSs7MzXl5eLFiwgEGDBsXrZ/Hs2TN9P4t//vmHLl266B/7559/qFSpEgCVK1dmw4YN5MmTJ8mrEQcOHOD999/H1NQ0yVyurq4ULVpUf986gSt/9+7dY9GiRRw4cCDR/YSFhfH1118zf/58zM3NkzxmWpKmUEJkEJ0OvvtOXV6xAlL5JYlIpbghZj+v/Dl2Ftq0BzZmrUupzaH2B+7nUdgjjdMIza1dC9euQe7c8MUXWqcRIlkWLFhATEwM1atX55dffuHy5csEBAQwd+5cg+ZPGzdu5Pvvv+e///7D29ub48ePM2DAAEC9opArVy6aN2/OoUOHuH79Ovv372fQoEHcvn2bmJgYDh48yLp162jVqhVBQUEEBQXx5MkTAB48SHlz0gULFtCyZUt9cZOQdevWUaRIEYPRojKCFBZCZKCaNaFZM4iJUYd3F9oIeBjAn1f/xERnQv9qxj1WuVaKOBehkmslYpQYtl7cqnUcoaXo6FdXK776ChIYYUeIzKhw4cKcPn2aevXq8eWXX1K2bFkaNGjA3r17WbRokX47Hx8f1q9fT/ny5fnhhx/46aefKF26NAA2NjYcPHiQAgUK0KpVK0qVKkXPnj0JDw/HwcGBW7duUadOHcLCwhg0aBBubm64ubnRurX65UyJEiVSnDs2NvatTZvCwsKYMWNGivedWjolJb1XNBISEoKjoyPBwcFv7fQiRGbn7w/lyqkzcf/9N7zRJ0xkgL7b+7L41GJalGzBlnYyZOq78j3ky5i/xuBVxIudnXZqHUdo5ccfoUsXyJVLnW37LUNfiqwlPDyc69evU6hQoQwb0jQj6XQ6tmzZ8s7f/AcGBlK3bt1481rEyZEjh8FcFlpJ6jym5HO4XLEQIoOVLq2OEgXqwCmZv7TPWp6+fMoP534A1E7b4t3FjQ619/penrx8onEaoYmYGJg4UV3+8kspKoR4g6mpqUEn7je5uLhkYJr0J4WFEBoYP16dN+rQIdi+Xes02cuKMysIiwqjvEt56nrU1TqOUSueszjlXcoTHRvNtovbtI4jtLB+Pfz3Hzg7q8PdCSEM5M+fnxMnTiT6+KVLlzIwTfqTwkIIDeTLB0OGqMujRqlf+on0FxMbw/zj8wEZYjatfFr6UwA2BWzSOInIcK9frRg2DOzttc0jRDpQFCXDO0AbMykshNDIyJHg5KT2uVi9Wus02cOvl37lRvANclrn5LNyn2kdJ0toU7oNALuv7uZZ+DNtw4iMtXGjOrydkxMMHKh1GiFEJiCFhRAayZEDvv5aXR43Dl6+1DROtjDn2BwAelfpjbW5zAqcFkrmKkmZ3GWIio3i10u/ah1HZJSoKPUPF8DQoSADqwghkMJCCE317w8FCsCdOzB3rtZpsrazQWc5cOMApjpT+lbtq3WcLCXuqsUmf2kOlW2sXg2XL6sjQcW16xRCZHtSWAihISsrmDBBXfb1hScysE66mXtMrdxal25Nfsf8GqfJWuL6Wey6uouQiBCN04h0Fx4OPj7q8pgx0rdCCKEnhYUQGuvYUZ3XIjhYLS5E2nsU9oi1/64FYHCNwRqnyXpK5y5NyVwliYyJ5LdLv2kdR6S3hQvh9m3Inx/6ytU/IcQrUlgIoTFTU/juO3V53jy4eVPbPFnR0lNLiYiJoIpbFTzzyYyEaU2n09Gm1P+bQ8noUFlbSAhMnqwue3url12FEOL/pLAQIhNo2BDq1oWIiFf9IUXaiIqJYuGJhYB6tUKGmE0fn5ZRm0P9cfkPnkc81ziNSDczZ8Ljx1CiBHTtqnUaIUQCQkJCqFixIi9evOD27dsULVo0w44thYUQmYBO9+qqxQ8/wLlz2ubJSjYHbObO8zu42LrQtkxbreNkWeXylKOYczEiYiL4/fLvWscR6eHRI5gxQ12eMAHMzLTNI0QqdevWDZ1Op7/lzJmThg0bcs7I/xN2cHCgZs2a5MiRAw8PD/pmYJPFdyosFixYgIeHB1ZWVtSoUYPjx48n63nr169Hp9PJRCNCJKB6dfj0U1AUGD1a6zRZR9wQs19U/QJLM0uN02RdOp1ORofK6nx94cULqFwZWrfWOo0QaaJhw4bcu3ePe/fusXfvXszMzGjSpInWsVJt/vz5PHjwgCdPnvDll19m2HFTXFhs2LCBYcOG4e3tzenTp6lQoQJeXl48ePAgyecFBgby1VdfUatWrXcOK0RWN2mS2udixw7Yv1/rNMbvxJ0THL19FHMTc76o+oXWcbK8uMJix+UdhEaGapxGpKlbt2DBAnV50iQwkQYPImuwtLTE1dUVV1dXKlasyKhRo7h16xYPHz4kMDAQnU6Hn59fgs/NkSMHq1at0t+/ffs2HTp0wNnZGVtbW6pWrcqxY8f0jy9atIgiRYpgYWFBiRIl+PHHHw32p9Pp2Lp1K6DO+N2lSxfKly/P06dPARg/fjwVK1bUbx8ZGUnRokXR6XQ8e/YMgFWrVpEjRw4AnJ2dcXBwoHbt2km+jrSU4r8MM2fOpFevXnTv3p3SpUuzePFibGxs+P777xN9TkxMDB07dsTHx4fChQunKrAQWVmxYtC7t7o8cqR69UK8u7nH1SFm25Vth6udq8Zpsr5KrpUo7FSYl9Ev2XF5h9ZxRFr69lu1E1jt2uDlpXUakZkpCoSGanNL5X+aL168YM2aNRQtWpScOXOm+Ll16tThzp07/Prrr5w9e5YRI0YQGxsLwJYtWxg8eDBffvkl58+fp0+fPnTv3p19+/YluL9Bgwbx999/8+eff+Lk5JTgNvPnz+f+/ftJ5tq8eTNnzpxJ0WtJjRQVFpGRkZw6dYr69eu/2oGJCfXr1+fo0aOJPu/bb78lT5489OzZ892TCpFNjBsHtrZw/DhskhYl7+ze83tsOL8BkCFmM4qMDpVF/fcfrFypLvv6qp3ChEhMWBjY2WlzCwtLcdzt27djZ2eHnZ0d9vb2/Prrr2zYsAGTFF6VW7duHQ8fPmTr1q3UrFmTokWL0rZtWzw91ZEIp0+fTrdu3ejXrx/Fixdn2LBhtGrViunTp8fb1zfffMOWLVvYs2cPrq4Jfyn25MkTJk6cyMiRIxPNFBUVxciRI5PcJq2l6Kf26NEjYmJicHFxMVjv4uJCUFBQgs85fPgwK1asYNmyZck+TkREBCEhIQY3IbILV1eIaw759dcQFaVtHmO15NQSomKjeD//+1R1r6p1nGwjrjnU7//9TlhUyv+TF5nQuHEQEwNNmsD772udRog0Va9ePfz8/PDz8+P48eN4eXnRqFEjbty4od/m/fffx97envz589OuXTtu374dbz9+fn5UqlQJZ2fnBI8TEBDABx98YLDugw8+ICAgwGDd/PnzmTRpEiVKlMDDwyPR3N9++y316tWjZs2aiW6zYMECHB0d6dixY6LbpLV0bST5/PlzOnfuzLJly8iVK1eyn+fr64ujo6P+lj+/zJIrspevvoLcueHyZVi+XOs0xiciOoJFJxcBMKj6II3TZC9V3atS0LEgoVGh7LyyU+s4IrVOn4YN6pU/Jk3SNoswDjY2aid/LW42NimOa2trS9GiRSlatCjVqlVj+fLlhIaGGnwhvmHDBs6cOcNPP/3E5cuX+eKL+H32rK2tU/Vji3P8+HF27NjB+fPnWbJkSYLbXL58meXLl/Nd3HCSCXj69CkTJkxg5syZGTrMeooKi1y5cmFqahqvPdf9+/cTvFRz9epVAgMDadq0KWZmZpiZmfHDDz/w66+/YmZmxtWrVxM8zujRowkODtbfbt26lZKYQhg9e/tX81n4+Kh/L0Xy/XzhZx6EPiCvfV5alWqldZxsRUaHykIUBYYNU5c/+wzKl9c2jzAOOp3anleLWxp8gNbpdJiYmPDy5Uv9uvz581O0aFFq1qxJz549E+wEXb58efz8/Hjy5EmC+y1VqhRHjhwxWHfkyBFKly5tsG727Nk0atSIhQsXMnz4cG4mMGvuyJEj+fzzz5Ocn2LChAnUqlWL2rVrJ/Vy01yKCgsLCwuqVKnC3r179etiY2PZu3evvg3Z60qWLMm///6rv8Tk5+dHs2bN9JedErsSYWlpiYODg8FNiOymd28oXBju34dZs7ROYzwURdEPMduvWj/MTc01TpT9xBUWv/33G+HR4RqnEe9syxY4cECdXdvXV+s0QqSLiIgIgoKCCAoKIiAggIEDB/LixQuaNm2q3yYyMpLw8HBu3LjBpk2bKFu2bLz9dOjQAVdXV1q0aMGRI0e4du0av/zyi74P8vDhw1m1ahWLFi3i8uXLzJw5k82bN/PVV18Z7CeuKVXr1q355JNP+Pzzzw0ev3LlCvv372dcErPphoWFsXTpUqZOnfrOP5d3leKmUMOGDWPZsmWsXr2agIAA+vbtS2hoKN27dwegS5cujP7/IPxWVlaULVvW4JYjRw7s7e0pW7YsFhYWaftqhMhCLCxetTyYOhXeMqKz+L+/b/3NqXunsDS1pHeV3lrHyZaq561OPod8vIh8wa4ru7SOI95FRAQMH64uf/UVFCigbR4h0snOnTtxc3PDzc2NGjVqcOLECTZu3EjdunX129SoUQNra2sqVqyInZ1dgk2ULCws+PPPP8mTJw+ffPIJ5cqVY8qUKZiamgLQokUL5syZw/Tp0ylTpgxLlixh5cqVBsd50/z58zl79ixLly7VrwsNDeXrr79OtC8HqJ22u3fvTvHixVP+A0klnaKkfGyu+fPnM23aNIKCgqhYsSJz586lRo0aANStWxcPDw+DcX1f161bN549e6Yfpzc5QkJCcHR0JDg4WK5eiGwlNladOO/UKRg4EObO1TpR5tduUzt+vvAzPSr2YEXzFVrHybaG7hzK7GOz6VS+Ez+2/PHtTxCZy7RpMGIEuLmpo0LZ2WmdSGRS4eHhXL9+nUKFCmFlZaV1HPGOkjqPKfkc/k6FRUaTwkJkZ3v3Qv36YG4OAQFQpIjWiTKvW8G3KDSnEDFKDH59/KjgWkHrSNnWkZtHqLmyJg6WDjz46oHMem5MHjxQJ9UJCVGHme3WTetEIhOTwiJrSKvCQqbOFCKT++gjdT6qqCj45hut02Rui04uIkaJoU7BOlJUaMwzvyfu9u6ERISw+9pureOIlBg3Ti0qKleGLl20TiOEMCJSWAhhBKZMUf9dv15tFiXiexn1kqWn1HaoMiGe9kx0JrQu1RqQ0aGMyr//Qtwwm7NnQwonCRNCZG/yF0MII1CxIsTNbzNqlKZRMq11/67j8cvHFHQsSLMSzbSOI3g1OtS2S9uIjInUOI14q7jhZWNjoU0bqFVL60RCCCMjhYUQRmLiRHWkqD174M8/tU6Tubw+xOyA6gMwNTHVOJEA+CD/B7jaufIs/Bl/Xf9L6zjibX7/Xf0DY2EBSUy8JYQQiZHCQggj4eEB/fqpyyNHql8qCtX+wP38++BfbMxt6Fmpp9ZxxP+ZmpjSqqQ6QeHGCxs1TiOSFBkJX36pLg8dqk6iI0QKGMFYQCIJaXX+pLAQwoh8/TU4OICfn9rfQqjmHlfH4e1SvgtO1k4apxGvi2sOtfXSVqJiojROIxK1aJE6rGyePDBmjNZphBExN1cnIQ0LC9M4iUiNuPMXdz7flVlahBFCZIxcudSrFV9/rd5atwbLbD6K5/Wn19l2cRsAA2sM1DiNeFPtgrXJbZObh2EP2R+4nwZFGmgdSbzp4UPw8VGXJ05Uv70QIplMTU3JkSMHD/4/i6uNjQ06nU7jVCK5FEUhLCyMBw8ekCNHDv2Efu9KCgshjMzgwTB/PgQGwuLF6v3sbMGJBSgoNCjcgNK5S2sdR7zB1MSUVqVaseTUEjb6b5TCIjMaMQKePoUKFaBHD63TCCPk6uoKoC8uhPHJkSOH/jymhkyQJ4QRWrYMeveGnDnh6lVwdNQ6kTZeRL4g38x8BEcEs73DdhoXb6x1JJGAPdf20ODHBuSyycW9L+9hZiLfaWUaBw5A3bqg08Hff8N772mdSBixmJgYoqKkyaOxMTc3T/JKRUo+h8tfdyGMUPfuMGMGXLoE06aprReyox/P/khwRDBFnYvSqFgjreOIRNT1qEtO65w8CnvEwRsH+bDQh1pHEqB22O7bV13u3VuKCpFqpqamqW5KI4ybdN4WwgiZmYGvr7o8cybcu6dtHi3EKrH6TtsDqw/ERCd/zjIrMxMzWpZsCcjoUJnKjBkQEAC5c7/6gyKEEKkg/xMLYaRatABPT3j5EsaP1zpNxtt9dTcXH13E3sKebhW7aR1HvEXc6FCbL24mJjZG4zSCa9fg22/V5ZkzwUlGUxNCpJ4UFkIYKZ3u1RxWK1bAxYva5slocVcrulfsjoOl9L3K7D4s9CFOVk48CH3A4ZuHtY6TvSkKDBgA4eFQrx507Kh1IiFEFiGFhRBGrFYtaNoUYmKy19Dz/z3+jx2Xd6BDJ0PMGglzU3NalGwBwCb/TdqGye42b4Y//lBn2F60SP2WQggh0oAUFkIYOV9fMDGBLVvg6FGt02SM+cfnA/BJsU8o6lxU4zQiueKaQ/0S8Auxikwdr4nnz2HQIHV55EgoUULbPEKILEUKCyGMXJky0K2bujxypNrKISsLDg9mpd9KAAbXyOaTeBiZ+oXr42jpyL0X9zhy84jWcbKncePg7l0oUgRGj9Y6jRAii5HCQogswMcHrKzg0CHYvl3rNOlrpd9KXkS+oFSuUtQvXF/rOCIFLEwtaF6yOaBetRAZ7MwZmKv2TWLBArC21jaPECLLkcJCiCwgX75XM3CPGqX2uciKYmJjmHd8HgCDagxCJ23DjU6bUmpzqE3+m6Q5VEaKjlbnqoiNhXbtwMtL60RCiCxICgshsoiRI9URI/39YfVqrdOkjx2Xd3Dt6TVyWOWgc/nOWscR7+DjIh9jb2HPned3OHb7mNZxso+pU+HkSXB0VIeXFUKIdCCFhRBZhJPTq5Ghxo1T57fIauKGmP280ufYWthqnEa8C0szS5qVaAbI6FAZ5ty5V5PdzJ0L7u6axhFCZF1SWAiRhQwYAPnzw507MG+e1mnS1oUHF9hzbQ8mOhP6V++vdRyRCnGjQ20K2ISS1Ucb0FpUFHTtqv7brBl0lit9Qoj0I4WFEFmIlRVMmKAu+/rCkyfa5klLc4+pVyual2iORw4PbcOIVPEq4oWdhR03g29y4u4JreNkbZMmgZ8fODvDkiUyZ4UQIl1JYSFEFtOpE5QrB8+eqcVFVvDk5RN+PPcjIEPMZgXW5tY0Kd4EkOZQ6er0abWwAHUUKFdXbfMIIbI8KSyEyGJMTWHKFHV53jy4eVPbPGlh+enlvIx+SQWXCtQuWFvrOCINxI0OtdF/ozSHSg8REWoTqOhoaNNGHQlKCCHSmRQWQmRBjRpBnTrqZwtvb63TpE50bDQLTiwAZIjZrKRRsUbYmNsQ+CyQ0/dOax0n6/HxgfPnIXduWLhQmkAJITKEFBZCZEE6nTq6JKhDz/77r7Z5UmPbxW3cDL5JLptcdCjbQes4Io3YmNvQuFhjQJpDpbnjx+G779TlxYvV4kIIITKAFBZCZFHVq6stIBQFRo/WOs27m3NsDgB9qvTB2lxmCs5K4kaHkuZQaejlS7UJVGwsfPYZtGqldSIhRDYihYUQWdjkyWqfi99/hwMHtE6TcmfuneHQzUOYmZjRt2pfreOINPZJsU+wMrPi6tOrnL1/Vus4WcOYMXDxotpRO6uNOS2EyPSksBAiCytWDHr3VpdHjlSvXhiTuAnx2pRuQ16HvBqnEWnNzsKOT4p9AsDGCxs1TpMF/PorzJ6tLi9bpg4xK4QQGUgKCyGyuHHjwNYWjh2DX37ROk3yPQh9wLp/1wEwqPogjdOI9CKjQ6WRmzehWzd1ecgQaNJEyzRCiGxKCgshsjhXV/jyS3V5zBh1Al5jsPTUUiJjIqnmXo338r2ndRyRThoXb4ylqSWXn1zm/IPzWscxTlFR0KEDPH0KVau+6rgthBAZ7J0KiwULFuDh4YGVlRU1atTg+PHjiW67bNkyatWqhZOTE05OTtSvXz/J7YUQae/LL9WBYS5fhhUrtE7zdlExUSw8sRBQJ8STIWazLgdLB7yKegHqVQvxDsaNg7//BgcH2LABLCy0TiSEyKZSXFhs2LCBYcOG4e3tzenTp6lQoQJeXl48ePAgwe33799Phw4d2LdvH0ePHiV//vx8/PHH3LlzJ9XhhRDJ4+AAY8eqy+PHw4sXmsZ5q03+m7j34h6udq58WuZTreOIdPZpafUcy7Cz72DnzlczYq5YAYULa5tHCJGtpbiwmDlzJr169aJ79+6ULl2axYsXY2Njw/fff5/g9mvXrqVfv35UrFiRkiVLsnz5cmJjY9m7d2+qwwshkq9PH/Uzx/37MGuW1mmSFtdpu2/VvliYyrevWV3T4k0xNzEn4FEA/g/9tY5jPO7ehc6d1eV+/dTxpYUQQkMpKiwiIyM5deoU9evXf7UDExPq16/P0aNHk7WPsLAwoqKicE5itIqIiAhCQkIMbkKI1LGwgEmT1OWpU+HhQ23zJOb4neP8c/sfLEwt6FOlj9ZxRAZwtHLk4yIfAzI6VLLFxKjzVDx6BBUrwowZWicSQoiUFRaPHj0iJiYGFxcXg/UuLi4EBQUlax8jR47E3d3doDh5k6+vL46Ojvpb/vz5UxJTCJGItm2hShW1KdSECVqnSdjcY+rVivZl2+Ni5/KWrUVWoW8OFSDNoZLl22/VyWns7NR+FVZWWicSQoiMHRVqypQprF+/ni1btmCVxB/B0aNHExwcrL/dunUrA1MKkXWZmLwaMGbxYrh6Vds8b7r3/B4/X/gZkCFms5tmJZphZmLG+QfnufjootZxMrfdu199M7BkCRQvrm0eIYT4vxQVFrly5cLU1JT79+8brL9//z6urq5JPnf69OlMmTKFP//8k/Llyye5raWlJQ4ODgY3IUTa+Ogj+PhjdYTKuA7dmcWik4uIio3ig/wfUMW9itZxRAZysnaifmH1SrZ04k7Cf/+plx4VBT7/XG0OJYQQmUSKCgsLCwuqVKli0PE6riO2p6dnos+bOnUqEyZMYOfOnVStWvXd0woh0kTcIDI//QSnTmmbJU5EdASLTy4G1CFmRfYjo0O9xdOn0LQpPHsGnp4wf77WiYQQwkCKm0INGzaMZcuWsXr1agICAujbty+hoaF0794dgC5dujB69Gj99t999x1jx47l+++/x8PDg6CgIIKCgniR2ce7FCILq1QJOnZUl0eN0jZLnPXn1/Mw7CH5HPLRomQLreMIDTQv0RxTnSln75/l8uPLWsfJXKKjoV079YpF/vywZQtYWmqdSgghDKS4sGjXrh3Tp09n3LhxVKxYET8/P3bu3Knv0H3z5k3u3bun337RokVERkbSpk0b3Nzc9Lfp06en3asQQqTYhAlgbg579sCff2qbRVEU/RCz/av1x9zUXNtAQhM5bXLyYaEPAfgl4BeN02QyX36p9q2wsYFffwUXGdhACJH56BRFUbQO8TYhISE4OjoSHBws/S2ESENDhsCcOepoladOqZ27tXD45mFqrayFlZkVt4feJqdNTm2CCM0tPbWUPtv7UNmtMqd6Z5J2elpbulSdiAZg82Zo2VLbPEKIbCUln8M1+hghhMgMvvkG7O3Bz0/tb6GVuCFmO5XrJEVFNteyZEtMdCacvneaa0+vaR1He/v3Q//+6vLEiVJUCCEyNSkshMjGcuWCkSPV5W++gYiIjM9wK/gWmwM2AzCohgwxm93lts1NXY+6APzin82bQ127Bq1bq/0r2reHMWO0TiSEEEmSwkKIbG7IEHBzg8BAdW6LjLbgxAJilBjqedSjnEu5jA8gMp02pdoAsNE/G8/CHTcC1JMnUK0afP896HRapxJCiCRJYSFENmdrC+PHq8sTJkBwcMYdOywqjGWnlwEyxKx4pVWpVujQceLuCW48u6F1nIwXGgqNG4O/P7i7w9atYG2tdSohhHgrKSyEEPToASVKwOPHMG1axh137bm1PHn5hEI5CtGkeJOMO7DI1FzsXKhdsDaQDUeHiohQ+1EcPQpOTrBzp1pcCCGEEZDCQgiBmRn4+qrLM2fCayNGp5vXh5gdUH0Apiam6X9QYTTalM6GzaGio9WZtHfvVi8l7tgB5aR5oBDCeEhhIYQAoEULeO89ePkSfHzS/3j7Avdx/sF5bM1t6VGpR/ofUBiVuOZQ/9z+h1vBt7SOk/5iY6FXL3U4WQsL2LZNfUMKIYQRkcJCCAGo/UKnTlWXly+HS5fS93hzjs0BoGuFruSwypG+BxNGx93enQ8KfACgHzUsy1IUGDoUVq0CU1PYsAE++kjrVEIIkWJSWAgh9GrVUgeiiYlJ35Etrz29xm+XfgNgYI2B6XcgYdSyzehQPj4wV20WyMqV6uVDIYQwQlJYCCEM+PqqM3Bv3gz//JM+x5h/fD4KCl5FvCiZq2T6HEQYvdalWwNw5NYR7oTc0ThNOpk161Xbw3nzoHNnbfMIIUQqSGEhhDBQpgx066YujxihttJISy8iX7DizApAhpgVScvnkA/PfJ4AbLm4ReM0aUxRYNIkGDZMvT9xIgwYoG0mIYRIJSkshBDxjB8PVlZw6BD8/nva7nu132pCIkIonrM4XkW90nbnIsvJkqNDKQp89ZU63T3A2LEyq7YQIkuQwkIIEU/+/DBokLo8apTa5yItxCqx+iFmB1YfiIlO/gSJpMUVFoduHCLoRZDGadJAdDT07KmO6wxqU6hvv5VZtYUQWYL8ry6ESNCoUer8XBcuwA8/pM0+/7z6J/89/g8HSwe6VuiaNjsVWVoBxwJUz1sdBYUtAUbeHCo8HD79VO2gbWqqjgI1ZIjWqYQQIs1IYSGESJCT06vWGePGqfNbpFbcELPdK3bH3tI+9TsU2UKWGB3q+XNo3Bi2blXnqdi0CbpKcS2EyFqksBBCJGrAALVZ1O3bMH9+6vZ16dEldl7ZiQ4dA6vLELMi+eKaQx24ccA4m0M9fqzOS/HXX2BnB3/8IUPKCiGyJCkshBCJsrKCCRPU5cmT4cmTd9/XvOPzAGhSvAlFnIukQTqRXRRyKkT1vNWJVWLZ5L9J6zgp8++/UKMGnDgBOXOqxcWHH2qdSggh0oUUFkKIJHXqBOXKwbNnMGXKu+3jWfgzVvmtAmSIWfFu2pdpD8CGCxs0TpIC69fDe+/B1atQsKA6zFq1alqnEkKIdCOFhRAiSaamrwqKuXPh1q2U72PlmZWERoVSJncZPiwk39aKlPu0zKcAHL55mFvB7/BLmJGio9XhZDt0gLAwaNAATp2CUqW0TiaEEOlKCgshxFs1agR16kBEhNqROyViYmP0zaAG1RiETobVFO8gn0M+ahaoCWTyTtwPHqiFxIwZ6v1Ro9Q+FTlzaptLCCEygBQWQoi30ulg6lR1efVqtdl4cv1++XeuP7uOk5UTncp3Sp+AIluIaw61/vx6jZMk4vhxqFIF9u9XO2lv2gS+vuplPyGEyAaksBBCJEv16tCmjTppcEomCY4bYrZX5V7YmNukUzqRHbQp3QYTnQkn7p7g2tNrWsd5JSZGneiuVi11CLUSJdQio3VrrZMJIUSGksJCCJFskyerX75u3w4HD759+/MPzvPX9b8w0ZnQv3r/9A8osjQXOxfqedQD4OcLP2uc5v/8/aFmTRg2DCIjoXlztaiQ/hRCiGxICgshRLIVKwa9e6vLI0aoVy+SMvfYXABalmxJAccC6ZxOZAftyrQDMkFzqMhIdSzmSpXgn3/AwQGWLoUtW9RlIYTIhqSwEEKkyLhxYGsLx46pn6ES8zjsMWvOrQFkiFmRdlqVaoWZiRln75/l4qOL2oQ4eVIdNnbcOLXAaNIELlyAXr3UDklCCJFNSWEhhEgRV1f48kt1efhwCAlJeLvlp5fzMvollVwr6UfzESK1ctrkpEHhBgBsOJ/Bc1qEhMDIkeqEd+fOQa5csG4d/Por5MuXsVmEECITksJCCJFiX30F+fPDtWtq06g3m0RFx0az4MQCQIaYFWkvrjnUhgsbUN7WHi8thIbCd99BoULq8GixseocFf7+6r/y+y2EEIAUFkKId2BvDxs2gJmZ+u+iRYaPb724lVsht8htk5v2ZdtrE1JkWS1KtsDC1IKARwGcf3A+/Q708qU62lPhwup8FE+eqCM+/fqreqUid+70O7YQQhghKSyEEO/E01P9Ehdg6FB1YuE4cUPMflH1C6zMrDRIJ7IyRytHGhVtBKRTJ+6ICFiwAIoWVUd7evBALS5Wr4bz56Fp07Q/phBCZAFSWAgh3tnQoerompGR0LYtBAerw4AevnkYMxMzvqj6hdYRRRaVLs2hAgLUKxOFC8OAAXD3LhQoAMuWwcWL0KWLeplOCCFEgt6psFiwYAEeHh5YWVlRo0YNjh8/nuT2GzdupGTJklhZWVGuXDl27NjxTmGFEJmLTgcrV4KHB1y7E0KFcT1pt0n9wNelfBfc7d21DSiyrKYlmmJtZs3Vp1c5de/U25+QmKdPYfFieO89KF1avQx39y64ucH8+fDff/D552BunnbhhRAii0pxYbFhwwaGDRuGt7c3p0+fpkKFCnh5efHgwYMEt//777/p0KEDPXv25MyZM7Ro0YIWLVpw/nw6tosVQmQYJycYvfgQ9K3ADefv0aFjxPsjWNh4odbRRBZmZ2FHk+JNgHcYHerePfj5Z2jfXi0g+vZVx082NVWbOW3aBNevQ//+YGmZDumFECJr0ikpvIZco0YNqlWrxvz58wGIjY0lf/78DBw4kFGjRsXbvl27doSGhrJ9+3b9uvfee4+KFSuyePHiZB0zJCQER0dHgoODcZCJh4TINCKiI/De783UI1NRUOCpB6a/rebvn2pTvbrW6URW94v/L7TZ2IYCjgW4Pvg6JroEvitTFPWqw6FDcPiwert61XCbsmWhe3fo2BFcXDImvBBCGImUfA5PUWPRyMhITp06xejRo/XrTExMqF+/PkePHk3wOUePHmXYsGEG67y8vNi6dWtKDq25Gyf3EvH8qdYxhMg0gsODmXpkKpce/0dZoHnJ5gQfGcH+a3aMa3GOGTOk9YhIQ3Hfgb32b4kYN95/YE3knZv84jOKQi9tsH78EKvHj7D6/792d25jGWz4t1vR6QguUpyHlapx4+MmPCteUm3X99999SaEEJlIyXwulC1kHF96pKiwePToETExMbi88Y2Oi4sLFy8mPANqUFBQgtsHBQUlepyIiAgiIiL090MSm4ErAz37rBUVLmufQ4jMZKPBvW3/vwH3gM8yPI7Iho7ol6Ylus1LMzieFw4VgMMF4Gh+hRCrS8AluLMG7mRAUCGEeEcf6SawZ9w3WsdIlkw5vIWvry8+Pj5axzAQ7mDDA7sXWscQIlOxMLXA3tIe09eaoERFq6NDxcZqGExkSQo6/b9xN0yiiLZ+wiNrCLIz4Z6tCffsTLlnZ0KQrQm37U05l9uMSLPXJrGLBZMwjV6EEEKkkJ2TrdYRki1FhUWuXLkwNTXl/n3DS8X379/H1dU1wee4urqmaHuA0aNHGzSfCgkJIX/+/CmJmuZqnLyn6fGFMBbmQC6tQ4hsp4DWAYQQQqRsVCgLCwuqVKnC3r179etiY2PZu3cvnp6eCT7H09PTYHuA3bt3J7o9gKWlJQ4ODgY3IYQQQgghROaV4qZQw4YNo2vXrlStWpXq1asze/ZsQkND6d69OwBdunQhb968+Pr6AjB48GDq1KnDjBkzaNy4MevXr+fkyZMsXbo0bV+JEEIIIYQQQjMpLizatWvHw4cPGTduHEFBQVSsWJGdO3fqO2jfvHkTE5NXF0Lef/991q1bxzfffMOYMWMoVqwYW7dupWzZsmn3KoQQQgghhBCaSvE8FlqQeSyEEEIIIYTIeCn5HJ7imbeFEEIIIYQQ4k1SWAghhBBCCCFSTQoLIYQQQgghRKplygny3hTXDSQzzMAthBBCCCFEdhH3+Ts53bKNorB4/vw5gOaT5AkhhBBCCJEdPX/+HEdHxyS3MYpRoWJjY7l79y729vbodDpNMsTN/n3r1i0ZmcoIyfkzbnL+jJucP+Mm58+4yfkzXpnl3CmKwvPnz3F3dzeYUiIhRnHFwsTEhHz58mkdA0BmAjdycv6Mm5w/4ybnz7jJ+TNucv6MV2Y4d2+7UhFHOm8LIYQQQgghUk0KCyGEEEIIIUSqSWGRTJaWlnh7e2Npaal1FPEO5PwZNzl/xk3On3GT82fc5PwZL2M8d0bReVsIIYQQQgiRuckVCyGEEEIIIUSqSWEhhBBCCCGESDUpLIQQQgghhBCpJoWFEEIIIYQQItWksEimBQsW4OHhgZWVFTVq1OD48eNaRxLJMH78eHQ6ncGtZMmSWscSiTh48CBNmzbF3d0dnU7H1q1bDR5XFIVx48bh5uaGtbU19evX5/Lly9qEFfG87fx169Yt3vuxYcOG2oQVBnx9falWrRr29vbkyZOHFi1acOnSJYNtwsPD6d+/Pzlz5sTOzo7WrVtz//59jRKL1yXn/NWtWzfe+++LL77QKLF43aJFiyhfvrx+IjxPT0/++OMP/ePG9N6TwiIZNmzYwLBhw/D29ub06dNUqFABLy8vHjx4oHU0kQxlypTh3r17+tvhw4e1jiQSERoaSoUKFViwYEGCj0+dOpW5c+eyePFijh07hq2tLV5eXoSHh2dwUpGQt50/gIYNGxq8H3/66acMTCgSc+DAAfr3788///zD7t27iYqK4uOPPyY0NFS/zdChQ/ntt9/YuHEjBw4c4O7du7Rq1UrD1CJOcs4fQK9evQzef1OnTtUosXhdvnz5mDJlCqdOneLkyZN8+OGHNG/enAsXLgBG9t5TxFtVr15d6d+/v/5+TEyM4u7urvj6+mqYSiSHt7e3UqFCBa1jiHcAKFu2bNHfj42NVVxdXZVp06bp1z179kyxtLRUfvrpJw0SiqS8ef4URVG6du2qNG/eXJM8ImUePHigAMqBAwcURVHfa+bm5srGjRv12wQEBCiAcvToUa1iikS8ef4URVHq1KmjDB48WLtQIkWcnJyU5cuXG917T65YvEVkZCSnTp2ifv36+nUmJibUr1+fo0ePaphMJNfly5dxd3encOHCdOzYkZs3b2odSbyD69evExQUZPBedHR0pEaNGvJeNCL79+8nT548lChRgr59+/L48WOtI4kEBAcHA+Ds7AzAqVOniIqKMnj/lSxZkgIFCsj7LxN68/zFWbt2Lbly5aJs2bKMHj2asLAwLeKJJMTExLB+/XpCQ0Px9PQ0uveemdYBMrtHjx4RExODi4uLwXoXFxcuXryoUSqRXDVq1GDVqlWUKFGCe/fu4ePjQ61atTh//jz29vZaxxMpEBQUBJDgezHuMZG5NWzYkFatWlGoUCGuXr3KmDFjaNSoEUePHsXU1FTreOL/YmNjGTJkCB988AFly5YF1PefhYUFOXLkMNhW3n+ZT0LnD+Czzz6jYMGCuLu7c+7cOUaOHMmlS5fYvHmzhmlFnH///RdPT0/Cw8Oxs7Njy5YtlC5dGj8/P6N670lhIbK0Ro0a6ZfLly9PjRo1KFiwID///DM9e/bUMJkQ2U/79u31y+XKlaN8+fIUKVKE/fv389FHH2mYTLyuf//+nD9/XvqjGanEzl/v3r31y+XKlcPNzY2PPvqIq1evUqRIkYyOKd5QokQJ/Pz8CA4OZtOmTXTt2pUDBw5oHSvFpCnUW+TKlQtTU9N4ve/v37+Pq6urRqnEu8qRIwfFixfnypUrWkcRKRT3fpP3YtZRuHBhcuXKJe/HTGTAgAFs376dffv2kS9fPv16V1dXIiMjefbsmcH28v7LXBI7fwmpUaMGgLz/MgkLCwuKFi1KlSpV8PX1pUKFCsyZM8fo3ntSWLyFhYUFVapUYe/evfp1sbGx7N27F09PTw2TiXfx4sULrl69ipubm9ZRRAoVKlQIV1dXg/diSEgIx44dk/eikbp9+zaPHz+W92MmoCgKAwYMYMuWLfz1118UKlTI4PEqVapgbm5u8P67dOkSN2/elPdfJvC285cQPz8/AHn/ZVKxsbFEREQY3XtPmkIlw7Bhw+jatStVq1alevXqzJ49m9DQULp37651NPEWX331FU2bNqVgwYLcvXsXb29vTE1N6dChg9bRRAJevHhh8O3Z9evX8fPzw9nZmQIFCjBkyBAmTpxIsWLFKFSoEGPHjsXd3Z0WLVpoF1roJXX+nJ2d8fHxoXXr1ri6unL16lVGjBhB0aJF8fLy0jC1ALX5zLp169i2bRv29vb6ttuOjo5YW1vj6OhIz549GTZsGM7Ozjg4ODBw4EA8PT157733NE4v3nb+rl69yrp16/jkk0/ImTMn586dY+jQodSuXZvy5ctrnF6MHj2aRo0aUaBAAZ4/f866devYv38/u3btMr73ntbDUhmLefPmKQUKFFAsLCyU6tWrK//884/WkUQytGvXTnFzc1MsLCyUvHnzKu3atVOuXLmidSyRiH379ilAvFvXrl0VRVGHnB07dqzi4uKiWFpaKh999JFy6dIlbUMLvaTOX1hYmPLxxx8ruXPnVszNzZWCBQsqvXr1UoKCgrSOLRQlwfMGKCtXrtRv8/LlS6Vfv36Kk5OTYmNjo7Rs2VK5d++edqGF3tvO382bN5XatWsrzs7OiqWlpVK0aFFl+PDhSnBwsLbBhaIoitKjRw+lYMGCioWFhZI7d27lo48+Uv7880/948b03tMpiqJkZCEjhBBCCCGEyHqkj4UQQgghhBAi1aSwEEIIIYQQQqSaFBZCCCGEEEKIVJPCQgghhBBCCJFqUlgIIYQQQgghUk0KCyGEEEIIIUSqSWEhhBBCCCGESDUpLIQQQgghhBCpJoWFEEIIIYQQItWksBBCCCGEEEKkmhQWQgghhBBCiFSTwkIIIYQQQgiRalJYCCGEEEIIIVJNCgshhBBCCCFEqklhIYQQQgghhEg1KSyEEEIIIYQQqSaFhRBCCCGEECLVpLAQQgghhBBCpJoUFkJkY926dcPOzk7rGEIII3bhwgU6depE3rx5sbS0xN3dnY4dO3LhwgWtowkhMphOURRF6xBCiIzz+PFj1q5dy6FDhzh48CCPHj2iQYMGVKpUibZt21KpUiWtIwohjMTmzZvp0KEDzs7O9OzZk0KFChEYGMiKFSt4/Pgx69evp2XLllrHFEJkECkshMhG1q9fT69evXjx4gUeHh5ERUURFBREpUqVOHv2LFFRUXTt2pWlS5diYWGhdVwhRCZ29epVypcvT4ECBTh48CC5c+fWP/bo0SNq1arFrVu3OHfuHIULF9YwqRAio0hTKCGyiSNHjtCpUydcXV05cuQI169fp379+lhZWXHixAnu3r1Lhw4dWL16NUOHDgVAURQ8PDxo3rx5vP2Fh4fj6OhInz59ANi/fz86nY5NmzbF29bOzo5u3brp769atQqdTkdgYKB+3YULF3BycqJJkyZER0cbbHfy5EmD/T169AidTsf48eMN1ie0btq0aeh0OurWratfF5d1//79Bts2btw4wX28Ke75id0Seq0HDx6kT58+5MyZEwcHB7p06cLTp08N9uvh4WHwXICNGzei0+nw8PDQrwsMDESn0zF9+vR42cqWLWvwWiMjIxk3bhxVqlTB0dERW1tbatWqxb59+xJ8bXF537y9fvzXJfYzeP3cAqxZs4YqVapgbW2Ns7Mz7du359atWwY569SpQ+HChXn48KF+/fjx49HpdAb7mj59OmZmZuzYsUO/rm7dupQtWzZevunTpyeYZ+HChZQpU0bfdKd///48e/Ys3vOPHTvGJ598gpOTE7a2tpQvX545c+YAalPCpH4PXj9ucs9tUuLOe3J+3nE/k4S2XbVqlcF2ixYtomzZstjY2Bhsl9B7+XXTpk0jLCyMpUuXGhQVALly5WLJkiWEhoYydepU/fq483nx4kXatm2Lg4MDOXPmZPDgwYSHh8c7xtt+b+JeZ9myZfH396devXrY2NiQN29eg+MKITKGmdYBhBAZY8qUKcTGxrJ+/XqqVKkS7/FcuXLxww8/4O/vz5IlS/D29iZPnjx06tSJqVOn8uTJE5ydnfXb//bbb4SEhNCpU6dUZ7t16xYNGzakZMmS/Pzzz5iZpc2fpmfPnuHr65usbQ8ePGjwQTU5Bg0aRLVq1QzWff755wluO2DAAHLkyMH48eO5dOkSixYt4saNG/oiJSHR0dF8/fXXKcr0ppCQEJYvX06HDh3o1asXz58/Z8WKFXh5eXH8+HEqVqyY4PO+/fZbChUqBMCMGTPiFUGva9myJa1atQLg0KFDLF261ODxSZMmMXbsWNq2bcvnn3/Ow4cPmTdvHrVr1+bMmTPkyJEDCwsLNm/ezHvvvUfLli3Zu3cvlpaW8Y61bds2Ro4cyezZs/nkk0/e6Wcyfvx4fHx8qF+/Pn379tWfjxMnTnDkyBHMzc0B2L17N02aNMHNzY3Bgwfj6upKQEAA27dvZ/DgwfTp04f69evr99u5c2eDnwUQ7wN3nNSc2w4dOuhf+44dO/jpp58S3bZkyZL64zx69Ej/pUGcDRs20K9fP+rWrcvAgQOxtbUlICCAyZMnvzXHb7/9hoeHB7Vq1Urw8dq1a+Ph4cHvv/8e77G2bdvi4eGBr68v//zzD3PnzuXp06f88MMP+m2S83sT5+nTpzRs2JBWrVrRtm1bNm3axMiRIylXrhyNGjV662sRQqQRRQiRLTg7OysFCxY0WNe1a1fF1tbWYN3YsWMVQPntt98URVGUS5cuKYCyaNEig+2aNWumeHh4KLGxsYqiKMq+ffsUQNm4cWO8Y9va2ipdu3bV31+5cqUCKNevX1eePHmilC5dWilRooTy6NEjg+fFbXfixAmD9Q8fPlQAxdvb22D9m+tGjBih5MmTR6lSpYpSp04d/fq4rPv27dOvq1GjhtKoUaME9/umd3mtVapUUSIjI/Xrp06dqgDKtm3b9OsKFixo8NyFCxcqlpaWSr169QzO3fXr1xVAmTZtWrzjlylTxuC1RkdHKxEREQbbPH36VHFxcVF69OgR7/lLly5VAOXkyZP6dY0bN473u6MoihIVFaUAio+PT7zXe/36dUVRFCUwMFAxNTVVJk2aZPDcf//9VzEzM4u3/tKlS4qTk5PSqVMnRVEUxdvbW4n7r+rMmTOKra2t0r9//3hZ6tSpo5QpUybe+mnTphnkefDggWJhYaF8/PHHSkxMjH67+fPnK4Dy/fffK4qi/twKFSqkFCxYUHn69KnBPuN+59+U1O9Ocs9tUv777z8FUKZPn57o63vdBx98oNSrV09/P+73ZuXKlfp1HTp0UHLkyKG8fPlSvy6p3+84z549UwClefPmSWZu1qyZAighISGKorw6n82aNTPYrl+/fgqgnD17VlGUlP3e1KlTRwGUH374Qb8uIiJCcXV1VVq3bp1kPiFE2pKmUEJkE8+fPydPnjxv3c7FxQVQv+kGKF68ODVq1GDt2rX6bZ48ecIff/xBx44d433b/vz5cx49emRwS0x4eDjNmjXj4cOH7Ny5k5w5c77LS0vQnTt3mDdvHmPHjn3ryFebN2/mxIkTTJkyJc2O/6bevXvrvwkH6Nu3b7zmPK8LCwvj22+/ZcCAARQoUCDRbd78WcfExBhsY2pqqu8vExsby5MnT4iOjqZq1aqcPn063j7jmqNYWVm99TVFRkYCJHhlIc7mzZuJjY2lbdu2BjldXV0pVqxYvCZZxYsX55dffmHt2rVMnDhRv/7evXs0bdoUT09PfVOkN8XExMT7eYSFhRlss2fPHiIjIxkyZAgmJq/+C+zVqxcODg76b9fPnDnD9evXGTJkiME340CiV5iSKznnNiEpOTegnp+kzg2o71cbG5tk7/P15wHY29snuV3c43F/T+L079/f4P7AgQMB9O+HlP7e2NnZGVw9tbCwoHr16ly7di1Fr0sIkTrSFEqIbMLd3Z2rV6++dbsrV64AkDdvXv26Ll26MGDAAG7cuEHBggXZuHEjUVFRdO7cOd7ze/TokexM3bt3559//sHKykrfryKteHt74+7uTp8+fZJsKx4TE8OYMWPo2LEj5cuXT9MMrytWrJjBfTs7O9zc3BJsGw8wc+ZMwsPDGTNmDMOGDUtwG29vb7y9veOtjysO46xevZoZM2Zw8eJFoqKi9Ovjmjq9Lq4QdHR0TPL1APo+CUkVbpcvX0ZRlHivP87rxVachw8foiiKvm8IQPPmzbl9+7ZBc7w3Xbx4MdGmR3Fu3LgBQIkSJQzWW1hYULhwYf3jce+VhPptpFZyzm1CUnJuQD0/BQsWTHIbT09Ptm/fzvjx4+nRowc2NjYEBwe/dd9xBUNcgZGYxAqQN38fihQpgomJif79kNLfm3z58sUr+JycnDh37lzSL0QIkaaksBAim2jSpAkLFixgxYoV9OzZM8Ft7t+/z+rVq8mdOzfvvfeefn379u0ZOnQoa9euZcyYMaxZs4aqVavG+3AGMG7cuHhtrps2bZrg8U6fPs22bdsYMGAAvXv35q+//krFK3wlICCAVatWsWbNmgQ/uL5uxYoVBAYGsmvXrjQ5dlp49OgR06ZNY/To0Ul+kO7duzeffvqpwbpevXoZ3F+zZg3dunWjRYsWDB8+nDx58mBqaoqvr2+ChWZgYCDm5ua4u7u/NWdQUBAArq6uiW4TGxuLTqfjjz/+wNTUNN7jbxYlL168YNiwYXTo0AE3Nzdmzpypz7Vt2zZat27NvHnzGDJkSLx9eXh4sGzZMoN1GzdujNfnQ0vJPbcJeb0jeHIEBQXh5eWV5DZDhw7l0qVLTJgwAR8fn2RncXR0xM3N7a0f3M+dO0fevHlxcHBIcrs3i4KU/t4ktA2oA1AIITKOFBZCZBPffPMNW7dupW/fvly8eJHPPvtM32zm5s2b7N27l3HjxvH06VPWrVtn0ITC2dmZxo0bs3btWjp27MiRI0eYPXt2gscpV66cQYdWSPw//eXLl9OsWTNMTU1p0qRJkkVPSowePZqKFSvSrl27JLcLCwvDx8eHfv36vfWb3dS6fPky9erV099/8eIF9+7dS7AD8sSJE7G3t2fw4MFJ7rNYsWLxfta2trYG9zdt2kThwoXZvHmzwYe3hK50AJw8eZLKlSsbNBNKjL+/PwClSpVKdJsiRYqgKAqFChWiePHib92nt7c3z58/Z8aMGbi4uHDhwgV27drF1q1bef/99xk8eDDe3t60a9cONzc3g+fa2trG+3n4+fkZ3I87z5cuXTIYAjUyMlI/UlpcboDz58/H22dqJPfcJuTkyZOYmZkl2uH+dbdv3+b58+dJnhsAa2trli1bxpkzZ3B0dMTb25uzZ8/y1VdfvfUYTZo0YdmyZRw+fJiaNWvGe/zQoUMEBgbqR4573eXLlw2umF25coXY2Fh90ZTS3xshROYgfSyEyCZcXV05evQojRo1YsaMGVSuXJk1a9YQGhpKwYIF6dGjB9bW1vz222906NAh3vM7d+6Mv78/w4cPx9TUlPbt26c6U9yVjcaNG9O+fXuGDx/O/fv3U7XPo0ePsm3bNqZMmfLWtvBz5swhNDQ01SMvJcfSpUsNmiEtWrSI6OjoeCPWBAYGsmjRIsaPH4+1tXWqjxtX1L3+ze2xY8c4evRovG39/f3x9/dPcHjhhGzYsAE3N7ckP7y2atUKU1NTfHx84n17rCgKjx8/1t8/f/48c+fOxcfHBzc3N0xMTPRXzt5//31AHdHJ3t4+RU2IXle/fn0sLCyYO3euQZ4VK1YQHBxM48aNAahcuTKFChVi9uzZ8YahfddvwVNzbiMjI/n111/58MMP39pnCNQ5awA+/PDDt247evRobt68yZo1a6hfv36Co8YlZPjw4VhbW9OnTx+D8whqP6wvvvgCGxsbhg8fHu+5CxYsMLg/b948AP37ISW/N0KIzEOuWAiRjeTPn59t27Zx7949jhw5wrRp0/Dz82Px4sVUrFiRihUrJvphvHHjxuTMmZONGzfSqFGjZHUET4k5c+ZQqlQpBg4cyM8//2zw2NGjRw06gcd1BL1y5QrHjx+nevXq+sf+/PNPGjRokKxvmf/8808mTZqUpp3GExMZGclHH31E27ZtuXTpEgsXLqRmzZo0a9bMYLsDBw5QqlQpunfvnibHbdKkCZs3b6Zly5Y0btyY69evs3jxYkqXLs2LFy/02+3atUv/LbW1tTVr1qzRP3bnzh1CQ0NZs2YNnTp14uTJk4wdO5adO3eyePHiJAu4IkWKMHHiREaPHk1gYCAtWrTA3t6e69evs2XLFnr37q0/br9+/ShTpoy+I29C7OzsmDVrFm3btqVXr17J+uD8uty5czN69Gh8fHxo2LAhzZo105+PatWq6TsAm5iYsGjRIpo2bUrFihXp3r07bm5uXLx4UX8VJaXe9dyeO3cOHx8fbt++TePGjQ3OTVwH/K1bt+q/EPD29mb58uW0b9+ekiVLJrnvPXv2MGvWLH788ccUX7UrVqwYq1evpmPHjpQrVy7ezNuPHj3ip59+0l/9ed3169dp1qwZDRs25OjRo6xZs4bPPvuMChUqACn7vRFCZCKajEUlhMgUEhpuNilxQ0KuW7cu3mPvOtzs61avXq0Ayq+//mqwXVK314dWBRSdTqecOnXKYL916tRJcLhZNzc3JTQ01GBb0mm42QMHDii9e/dWnJycFDs7O6Vjx47K48ePDZ5bsGBBBVC2bNlisL5r167vPNxsbGysMnnyZKVgwYKKpaWlUqlSJWX79u3x9hk3ZOfbboqiKN99951SrVo1Ze3atfGOn9i5/eWXX5SaNWsqtra2iq2trVKyZEmlf//+yqVLlxRFUc+9TqdTjhw5YvC814ebfV2DBg2UkiVL6ofSTe5ws3Hmz5+vlCxZUjE3N1dcXFyUvn37xhtWVlEU5fDhw0qDBg0Ue3t7xdbWVilfvrwyb968eNspytuHm03OuU1I3M/gbbd9+/YpR44cUYoWLaqMHz8+3jDDbw43++jRI8Xd3V3p0KGDwXbJGW72defOnVM6dOiguLm5Kebm5oqrq6vSoUMH5d9//030tfj7+ytt2rRR7O3tFScnJ2XAgAEGQ97GedvvjaIkfu6T87MVQqQtnaJIzyYhRPIMHTqUFStWEBQUhI2NjdZxGD9+PPv37483g3ZmsmrVKrp3786JEyeoWrWq1nESVbduXerWrZvorOOBgYEUKlRIOsNqIDm/5x4eHqxatcpg1vXMKG5ywocPH5IrVy6t4wgh0pj0sRBCJEt4eDhr1qyhdevWmaKoEEIIIUTmIn0shBBJevDgAXv27GHTpk08fvz4nUazSS9FixaNNwGaeDcNGjRIshO2nZ0dHTt2zMBEIk758uXfOmxyy5Yt481fIoQQGU0KCyFEkvz9/enYsSN58uRh7ty5yRrqMqO8PtOuSJ23jYyVK1cug07DIuO0atXqrdvMmjUrA5IIIUTSpI+FEEIIIYQQItWkj4UQQgghhBAi1aSwEEIIIYQQQqSaUfSxiI2N5e7du9jb2791Jl0hhBBCCCFE2lAUhefPn+Pu7o6JSdLXJIyisLh79y758+fXOoYQQgghhBDZ0q1bt8iXL1+S2xhFYWFvbw+oL8jBwUHjNEIIIYQQQmQPISEh5M+fX/95PClGUVjENX9ycHCQwkIIIYQQQogMlpzuCNJ5WwghhBBCCJFqUlgIIYQQQgghUk0KCyGEEEIIIUSqpbiwOHjwIE2bNsXd3R2dTsfWrVvf+pz9+/dTuXJlLC0tKVq0KKtWrXqHqEIIIYQQQojMKsWFRWhoKBUqVGDBggXJ2v769es0btyYevXq4efnx5AhQ/j888/ZtWtXisMKIYQQQgghMqcUjwrVqFEjGjVqlOztFy9eTKFChZgxYwYApUqV4vDhw8yaNQsvL6+UHl4IIYQQQgiRCaX7cLNHjx6lfv36Buu8vLwYMmRIeh86TW3dCkFBWqfI2mxtoV07sLDQOokQQghhhJ4+hatX1Q8sUVEQHa3e4pajokBRtE4pUqpaNahSResUyZLuhUVQUBAuLi4G61xcXAgJCeHly5dYW1vHe05ERAQRERH6+yEhIekd861mzIDDh7VOkfUdOwbz52udQgghhMjErlyBI0fUf69cUYuJK1fUwkJkPRMmSGGRGr6+vvj4+Ggdw0Dt2pA7t9Ypsq7oaPjtN1iwAFq2hI8+0jqREJnXqbunyOeQDxc7l7dvLIQwfs+fw19/wa5d6u3atcS3dXODvHnVy/9mZurN3PzVsokMCGp0SpTQOkGypXth4erqyv379w3W3b9/HwcHhwSvVgCMHj2aYcOG6e/HTSWupUmTND18ttC3LyxeDD16wL//gkyyLkR8Oy7voPG6xlR1r8qJXie0jiOESC937sCPP8Iff8Dff6vfwMUxM4P33oMyZaBoUShSRP23cGG1XbEQGkn3wsLT05MdO3YYrNu9ezeenp6JPsfS0hJLS8v0jiYymWnT1C9irl+HL7+EZcu0TiRE5hIVE8WXf34JwMm7Jwl4GECp3KU0TiWESDOKAvv2wcKFaufOmJhXjxUtCl5e8PHHUK8e2NtrFlOIxKT4etiLFy/w8/PDz88PUIeT9fPz4+bNm4B6taFLly767b/44guuXbvGiBEjuHjxIgsXLuTnn39m6NChafMKRJZhZwcrV6rLy5erX9IIIV5ZemopFx9d1N//JeAXDdMIIdJMcDDMmwelS6ttgX/5RS0qatVSi4yrV+HyZbUTYrNmUlSITCvFhcXJkyepVKkSlSpVAmDYsGFUqlSJcePGAXDv3j19kQFQqFAhfv/9d3bv3k2FChWYMWMGy5cvl6FmRYLq1IHBg9Xlzz+XfmhCxHkW/gzv/d4A1CxQE4CN/hu1jCSESK1796B/f7VPxKBBcPGi+i1b375qm+CDB9XlwoW1TipEsugUJfOPOxYSEoKjoyPBwcE4SMP7LC8sDCpWVL+c6dwZfvhB60RCaG/4n8OZfnQ6pXKVYn+3/eSdmZfo2GguDbhE8ZzFtY4nhEiJFy/U4SanTlX/0wP1akW/fup/fPJZR2QiKfkcLkMDiEzHxgZWr1YHrvjxR9i2TetEQmjr2tNrzD0+F4DpH08nj20ePiqkDp32i780hxLCaMTEqG19ixWD8ePVosLTE/buhfPn1asXUlQIIyaFhciUPD3hq6/U5d694dEjbfMIoaVRe0YRGRNJg8INaFS0EQBtSrcBpDmUEEZj5071cnyvXuoEdoULw8aN6nwUH34IOp3WCYVINSksRKbl46NeGX7wQP0SR4js6MjNI2z034iJzoQZH89A9/8PHy1KtsBUZ8qZoDNcfXJV45RCiETduQONG0OjRupVCScnmDUL/P2hTRspKESWIoWFyLSsrNT+Faam8PPPMkqUyH5ilViG/anO6dOzUk/KuZTTP5bLJhf1CtUDZHQoITKtDRugXDnYsUOdsO7LL9URnoYMARlWX2RBUliITK1KFfXvL8CoUYZDeguR1a0/v57jd45jZ2HHt/W+jfd4m1Jqc6hN/psyOpoQIilPn8Jnn0H79upylSrg5wfTp6tXLITIoqSwEJnemDHg6AjnzsG6dVqnESJjvIx6yag9owAYXXM0rnau8bZpUbIFJjoTTtw9QeCzwAxOKIRI0J496lWKn35SL7mPGwdHj0IpmcxSZH1SWIhMz9kZRo9Wl7/5BsLDtc0jREaY9c8sboXcIr9Dfoa+l/CEoi52LtQuWBuQ0aGE0FxYmDoXRYMGar+KYsXUjtk+PmBurnU6ITKEFBbCKAwapM4fdPMmLFqkdRoh0tez8GdMOTwFAN+PfLE2t050209LfwrApgBpDiWEZm7ehA8+UGfPBnU+ijNnoEYNbXMJkcGksBBGwdoavv1/E/OJE+HZM03jCJGuVp5ZyfPI55TJXYYO5TokuW3Lki3RoeOf2/9wK/hWBiUUQugdPQrVq6t9KHLnVkcaWbAAbG21TiZEhpPCQhiNLl3U4WefPIHvvtM6jRDpIyY2hnnH1W89B9UYhIku6T/TbvZu1CxQE5DRoYTIcGvWQL16cP8+lC8PJ05Aw4ZapxJCM1JYCKNhZgZT1NYhzJmjNmEVIqv5/fLvXH92HWdrZzqV75Ss5+ibQ8noUEJkjNhYtfNf584QEQEtWqj9KQoW1DqZEJqSwkIYlSZNoGZNePkSxo/XOo0QaW/OsTkA9KrcCxtzm2Q9p1WpVgAcuXWEOyFScQuRrl68gFatXn3TNXo0/PIL2Nlpm0uITEAKC2FUdLpXzaC+/x4CArTNI0RaOv/gPH9d/wtTnSn9qvVL9vPyOuTl/fzvA7A5YHN6xRNC3LqldtL+H3v3HV/T/cdx/HWzd+wMQuy9GqRoi4rG3jt2i9qlLaVmqWipUrO1W1Rqq9lSFFVbUaNGbImdSCLznt8f55fLlSD73Jt8no/HfTi5Ofecd3Jd7uee7/fz3bhRXeBu+XKYPBks5O2UECCFhTBDtWpBq1bPrkQLkV18d+g7AFqVbUVh18Kpeqx0hxIikwUHwzvvqIsqubnBnj0QEKB1KiFMihQWwiwlfkC0caM6rFUIc/cg6gHLTy0HYHCNwal+fOJwqH3X9hESEZKh2YTI8f77Ty0qrl5V16c4fBjefFPrVEKYHCkshFkqUwbef1/dHjECFEXbPEKk18LjC3ka/5Sq7lUNXZ5So7BrYXwL+qKgyHAoITLS2bNQpw7cvKmunr13LxRO3RVFIXIKKSyE2Ro/Xl3f4sAB2LRJ6zRCpF28Pp45R+YAaotZnU6XpuO0LdcWkO5QQmSYf/5Ri4qQELWd7J494OGhdSohTJYUFsJseXrC0KHq9siREB+vbR4h0mrD+Q3cCL9Bfof8dKzQMc3HSSws9l7by93IuxkVT4ic6ehRdY2K+/fBxwf++AMKFNA6lRAmTQoLYdaGD4e8edXuUEuXap1GiLRJbDHb16cvdlZ2aT6Ody5vqnlWQ6/o2XB+QwalEyIHOngQ6teHR4/UuRQ7d6r/2QghXkkKC2HWXF1h9Gh1e9w4iIrSNo8QqXX8znH2X9+PlYUV/ar3S/fx2pZVr1qsPrs63ccSIkc6fBjeew/Cw+Htt+G33yBXLq1TCWEWpLAQZq9fP/D2htu34bvvtE4jROoktphtX749ns6e6T5e4nCo3cG7uR91P93HEyJHuXABGjdWF8F7913Ytg2cnbVOJYTZkMJCmD1bW5g0Sd2eMgUePNA2jxApdTfyLj+f+RlIW4vZ5BTPU5yq7lVJUBJkOJQQqXH7Nvj7q/+JVK+u9jN3dNQ6lRBmRQoLkS106gRVqkBYmLrGhRDm4Puj3xObEItvQV98C/lm2HGlO5QQqRQWBo0awbVr6joVW7aAk5PWqYQwO1JYiGzBwgK++krdnj1bXcNICFMWmxDLvKPzALXFbEZKLCx2Be/i4dOHGXpsIbKd6Gho2VJdUdvdHXbsgPz5tU4lhFmSwkJkGw0aqE08YmNh7Fit0wjxamvOruFOxB08nDwMhUBGKZW3FJXcKhGvj2fj+Y0ZemwhspWEBOjaVV2fwtkZtm6FokW1TiWE2ZLCQmQbOp06xwJg+XJ1XSMhTFVii9l+1fphY2mT4cdP7A615pwMhxIiWYoCQ4bAmjVgYwMbNkDVqlqnEsKsSWEhspVq1aBDB/X/i88+0zqNEMk7dPMQh28dxsbShr7V+mbKORKvgvx++XceRz/OlHMIYdYmT4Y5c9RPpX76Se0CJYRIFyksRLbz5ZdgZQXbt6sLpQphahKvVnSq0IkCjpmzkm/Z/GUpn788cfo4Nl3YlCnnEMJsrVnzbBGkmTOhfXtt8wiRTUhhIbKd4sXhww/V7REj1KsXQpiK209uGxavG+I7JFPPJd2hhEjGmTPQo4e6PXQoDBqkaRwhshMpLES2NGaM2inw6FFYLQsQCxMy78g84vXxvF34bap6ZO547sTCYsflHYTHhGfquYQwC48eqR2gIiPVbh9ff611IiGyFSksRLZUoAB8+qm6PWoUxMVpm0cIgOj4aL4/9j2Q8S1mk1M+f3nK5CtDbEIsv174NdPPJ4RJS0hQFz26fBm8vSEoSB03K4TIMGkqLObMmYO3tzd2dnb4+vpy+PDhV+4/Y8YMSpcujb29PV5eXgwdOpTo6Og0BRYipYYNUwuMy5dhwQKt0wgBq86s4l7UPbxcvGhZpmWmn0+n00l3KCESff65ukaFvb3aASpvXq0TCZHtpLqwCAoKYtiwYYwbN47jx49TuXJl/P39uXv3brL7r1y5ks8++4xx48Zx7tw5Fi1aRFBQEKNGjUp3eCFexckJxo1TtydMgCdPtM0jcjZFUQyTtgdUH4CVRdZ8Upo4HGrbxW08iZEXgcihfvnl2SqqixdD5cra5hEim0p1YTF9+nR69+5Nz549KVeuHPPnz8fBwYHFixcnu/9ff/1F7dq16dy5M97e3rz33nt06tTptVc5hMgIvXtDiRJw9y5Mn651GpGT7b++n5MhJ7G3sqe3T+8sO28lt0qUzFOSmIQYtlzckmXnFcJknDoFPXuq259+Ch07aptHiGwsVYVFbGwsx44dw8/P79kBLCzw8/Pj4MGDyT6mVq1aHDt2zFBIXLlyha1bt9K4ceOXnicmJobw8HCjmxBpYW2ttioHmDYNQkO1zSNyrsSrFV0qdSGPfZ4sO69Op5PuUCLnevhQnawdFQUNGkBgoNaJhMjWUlVY3L9/n4SEBNzc3Izud3NzIyQkJNnHdO7cmS+++IK33noLa2trihcvTt26dV85FCowMBBXV1fDzcvLKzUxhTDSti1Urw4RETBxotZpRE507fE11p9fD2TNpO0XJRYWWy9uJTI2MsvPL4Qm9Hro3BmCg6FoUVi1CiwttU4lRLaW6V2h9uzZw+TJk5k7dy7Hjx9n3bp1bNmyhYmveIc3cuRIwsLCDLcbN25kdkyRjel0zzoKfv89XLqkbR6R88w9Mhe9oqd+0fpUKFAhy89f1b0qRXMV5Wn8U7Ze3Jrl5xdCE99+azxZO0/WXSkUIqdKVWGRL18+LC0tCX1hPEloaCju7u7JPmbMmDF07dqVDz74gIoVK9KqVSsmT55MYGAger0+2cfY2tri4uJidBMiPerWhUaNID5ebQwiRFaJjI1kwXG1LZkWVytAHQ7Vrlw7QLpDiRzi2DEYOVLd/vZbqFRJ2zxC5BCpKixsbGzw8fFh165dhvv0ej27du2iZs2ayT4mKioKCwvj01j+/1KkIksiiyw0ZYp69eKXX+DIEa3TiJxixekVPIp+RLHcxWhSsolmORKHQ235bwtRcVGa5RAi00VEqOtVxMVB69bQp4/WiYTIMVI9FGrYsGEsWLCAZcuWce7cOfr160dkZCQ9/99xoVu3boxM/JQAaNasGfPmzWPVqlUEBwfz+++/M2bMGJo1a2YoMITICpUqQdeu6vaIESB1rchsiqLw3aHvABhYfSCWFtr9m1fNsxpFXIsQGRfJ9kvbNcshRKYbPBguXoSCBdVFjHQ6rRMJkWOkupF6hw4duHfvHmPHjiUkJIQqVaqwfft2w4Tu69evG12hGD16NDqdjtGjR3Pr1i3y589Ps2bN+PLLLzPupxAihb74Qp2/t3u3OvS2YUOtE4nsbFfwLv699y+O1o70qtpL0yyJ3aG+OfgNa86uoXXZ1prmESJTBAXBkiVqMbF8ucyrECKL6RQzGI8UHh6Oq6srYWFhMt9CpNvHH6trWlSqBCdOgEWmtzAQOVXzn5vz63+/MqD6AGY3nq11HP6++Tc1F9XEycaJe5/ew87KTutIQmScq1ehShUIC1Mn002apHUiIbKF1LwPl7dUIscZNQpcXdU1k1as0DqNyK4uP7zM5v82AzCoxiCN06hqFKxBIZdCRMRG8Nvl37SOI0TGiY+HgAC1qHjzTRg3TutEQuRIUliIHCdvXvjsM3V79GiIjtY2j8ieZh+ejYJCoxKNKJ2vtNZxALDQWdC2rDqJe/XZ1RqnESIDTZwIf/0Fzs7qJ0bW1lonEiJHksJC5EiDB6vz+q5fh3nztE4jspsnMU9YfHIxoF2L2ZdJ7A616cImYuJjNE4jRAbYt+/ZsKf586FYMW3zCJGDSWEhciQHB5gwQd2eNAkeP9Y0jshmlv2zjPCYcErnLc17xd/TOo6Rml418XT2JDwmnJ1XdmodR4j0iYyEHj3UVba7dVNX2hZCaEYKC5Fjde8OZcvCw4fPVuYWIr30it7QYnaw72AsdKb1z6yFzoI2ZdsAMhxKZAOjR8OVK1CoEMyapXUaIXI80/ofT4gsZGWlLpoHMGMG3LqlaRyRTey4tIOLDy/iautKt8rdtI6TrMThUBsvbCQ2IVbjNEKk0V9/wcyZ6vYPP4B0jRRCc1JYiBytWTOoXRuePoXx47VOI7KDmYfUNzrvV30fJxsnjdMkr7ZXbdwc3Xgc/Zg/gv/QOo4QqRcdDb16qSuddu8OjRppnUgIgRQWIofT6Z4Ng1q8GM6d0zaPMG/n759nx+Ud6NAxoMYAreO8lKWF5bPhUP/KcChhhiZMgAsXwN1dXZhICGESpLAQOV6tWtCypTr3b+RIrdMIczbrkDrGu3np5hTLbdqdaRKHQ224sIG4hDiN0wiRCkePwtSp6va8ebK6thAmRAoLIYDJk9UVuDduhAMHtE4jzNHj6Mcs+2cZAEN8h2ic5vXeKfIO+R3y8/DpQ/Zc3aN1HCFSJjZWHQKVkAAdOqifCgkhTIYUFkKgdofq1UvdHjFCHbYrRGosPrGYyLhIKhSoQF3vulrHeS1LC0tal20NwJqzazROI0QKTZkCp09DvnzSBUoIEySFhRD/N3482NurVyw2bdI6jTAnCfoEZh1W3+QM8R2CTqfTOFHKJA6HWnd+HfH6eI3TCPEap08/Wwhv1izIn1/bPEKIJKSwEOL/ChaEjz5St0eOhHh5nyVSaPN/m7n6+Cp57PPQuaL5LNBV17suee3zcj/qPn9e+1PrOEK8XHy8elk5Lg5atFCHQQkhTI4UFkI8Z8QIdR7guXOwbJnWaYS5SGwx2+eNPjhYO2icJuWsLKxoVaYVIMOhhIn77jt10nauXDB3rtrSTwhhcqSwEOI5rq7qQq4AY8dCVJS2eYTpOx16mt1Xd2Ops6R/9f5ax0k1w3Coc+tI0CdonEaIZNy+DePGqdtTp4Knp7Z5hBAvJYWFEC/o3x+KFFH/L/vuO63TCFP33SH1L0nrsq3xcvXSOE3qvVv0XXLb5SY0MpR91/dpHUeIpD75BCIiwNf3WZcNIYRJksJCiBfY2j6bHzhlCjx4oG0eYbruR91n+enlgHm0mE2OtaU1Lcu0BGDt2bXahhHiRbt3w88/q0Of5s5V+4ILIUyWvEKFSEbnzlC5MoSFqWtcCJGchccXEh0fzRseb1DLq5bWcdIscTjU2nNr0St6jdMI8X9xcTDg/yvY9+sHb7yhbR4hxGtJYSFEMiws4Kuv1O3Zs+HaNW3zCNMTlxDHnCNzAPNqMZscv2J+uNq6cifiDn/d+EvrOEKoZs5UO2nky/fsMrIQwqRJYSHES7z3Hrz7rrrQ69ixWqcRpmbD+Q3cDL9JAccCdChv3q0vbSxtaFGmBSDdoYSJuHULJkxQt7/+GnLn1jaPECJFpLAQ4iV0umdXLX76Cf75R9s8wrQktpj90OdDbK1sNU6Tfm3LqsOh1pxdI8OhhPYSJ2zXrAndu2udRgiRQlZaBxDClFWrpq7DFBSkLpq3davWiYQpOHb7GAduHMDawpoPq32odZwM0aB4A5xtnLn15BaHbh6ipldNrSOJnOqPP2DVKnVM6pw5MmE7m0lISCAuLk7rGOI5lpaWWFlZZciQXikshHiNSZNg7VrYtk1tUFKvntaJhNa+O6y2mG1fvj0ezh4ap8kYdlZ2NC/dnBWnV7Dm7BopLIQ2YmNh4EB1u18/qFpV2zwiQ0VERHDz5k0URdE6iniBg4MDHh4e2NjYpOs4OsUMnt3w8HBcXV0JCwvDxcVF6zgiBxo4UP3grHp1OHRIFn3NyUIjQik8ozCxCbEc+uAQNQrW0DpShtlwfgOtglpR2LUwV4dcNesJ6cJMTZ0Kw4dD/vxw4YLMrchGEhISuHjxIg4ODuTPn1/+fTERiqIQGxvLvXv3SEhIoGTJkli8cJUwNe/D5YqFECkwdiwsWwZHjsCaNdCundaJhFa+P/Y9sQmxvFnozWxVVAD4F/fH0dqR62HXOXL7SLb7+YSJu31bJmxnY3FxcSiKQv78+bG3t9c6jniOvb091tbWXLt2jdjYWOzs7NJ8LBm4KEQKFCigziUEGDVKba8ucp7YhFjmHZ0HmO+CeK9ib21P01JNAekOJTQwZgxERsKbb0K3blqnEZlErlSYphevUqT5OBlyFCFygGHD1ALj0iVYsEDrNEILv/z7CyERIXg6e9KmbBut42SKduXUy3Grz66WcdAi65w6BUuWqNvffisTtoUwU/LKFSKFnJ1h3Dh1e8IEtROiyDkURTG0mO1frT/WltYaJ8ocjUo2wsHagauPr3L8znGt44ic4tNPQVGgfXv1ioUQwixJYSFEKvTuDSVKwN27MH261mlEVvr75t8cvX0UW0tb+vj00TpOpnGwdqBxycaADIcSWWTHDvjtN7C2hsBArdMIYaRHjx7odDo+/DBpa/EBAwag0+no0aNH1gczUVJYCJEK1tbw5Zfq9tSpaoEhcobEFrOdK3Ymv2N+jdNkLhkOJbJMQsKzCWyDBkGxYtrmESIZXl5erFq1iqdPnxrui46OZuXKlRQuXFjDZKYnTYXFnDlz8Pb2xs7ODl9fXw4fPvzK/R8/fsyAAQPw8PDA1taWUqVKsVVWGhNmql07te1sRARMnKh1GpEVboXfMnx6P9h3sMZpMl/jko2xs7Lj8qPL/BMqS86LTLRkCZw5o3aAGj1a6zRCJOuNN97Ay8uLdevWGe5bt24dhQsXpupza61s376dt956i1y5cpE3b16aNm3K5cuXkxyvbt266HQ6o9uMGTMM3z99+jTvvvsu9vb25M2blz59+hBhJuOvU11YBAUFMWzYMMaNG8fx48epXLky/v7+3H3JR7exsbE0aNCAq1evsmbNGi5cuMCCBQsoWLBgusMLoQWdDr76St2ePx+S+TdDZDPzjs4jXh/PO0XeoYp7Fa3jZDonGycalWgEyHAokYkiItROUKD29Jb2sjmKoqhNwLS4peVCbK9evViS2GAAWLx4MT179jTaJzIykmHDhnH06FF27dqFhYUFrVq1Qq/Xv/CzK/Tu3Zs7d+5w584dChUqZHQMf39/cufOzZEjR1i9ejU7d+5kYOLCkSYu1etYTJ8+nd69ext+mfPnz2fLli0sXryYzz77LMn+ixcv5uHDh/z1119YW6uTHb29vdOXWgiN1asHjRqpq3F//jmsWqV1IpFZouOj+f7Y90D2bDH7Mm3LtWX9+fWsPruaifUmSotIkfGmTYOQECheHPr31zqNyGJRUeDkpM25IyLA0TF1j+nSpQsjR47k2rVrABw4cIBVq1axZ88ewz5t2hh3C1y8eDH58+fn7NmzVKhQwXB/XFwcrq6uuLu7A2BpaWn43sqVK4mOjubHH3/E8f8hZ8+eTbNmzfjqq69wc3NLXfAslqorFrGxsRw7dgw/P79nB7CwwM/Pj4MHDyb7mE2bNlGzZk0GDBiAm5sbFSpUYPLkySQkJKQvuRAaCwxUr14EBcHRo1qnEZll5emV3I+6T2HXwjQv3VzrOFmmaamm2Fra8t+D/zhz94zWcUR2c/u2OlENYMoUsLHRNo8Qr5E/f36aNGnC0qVLWbJkCU2aNCFfvnxG+1y8eJFOnTpRrFgxXFxcDB+kX79+3Wi/8PBwQ9HwonPnzlG5cmWj79euXRu9Xs+FCxcy9ofKBKm6YnH//n0SEhKSVEtubm6cP38+2cdcuXKFP/74g4CAALZu3cqlS5fo378/cXFxjEvs3fmCmJgYYmJiDF+Hh4enJqYQWaJyZejSBX76CUaMgJ071UJDZB+KovDdIXXS9sDqA7GySPVFXrPlYuuCfwl/Nl3YxJqza6joVlHrSCI7GTtW/ci6Vi1okz3XhBGv5uCgXdt2B4e0Pa5Xr16GIUlz5sxJ8v1mzZpRpEgRFixYgKenJ3q9ngoVKhAbG2u03+3bt/H09ExbCBOX6V2h9Ho9BQoU4IcffsDHx4cOHTrw+eefM3/+/Jc+JjAwEFdXV8PNy8srs2MKkSYTJ6oftP3xh9otUWQvf177k39C/8Heyp7333hf6zhZrm3ZtoDaHUqIDHPqFCxerG5/8418IpND6XTqcCQtbmn9K9ewYUNiY2OJi4vD39/f6HsPHjzgwoULjB49mvr161O2bFkePXqU5BiXL1/m0aNHRpO+n1e2bFn++ecfIiMjDfcdOHAACwsLSpcunbbgWShVhUW+fPmwtLQkNDTU6P7Q0FDDOLEXeXh4UKpUKaPxY2XLliUkJCRJBZdo5MiRhIWFGW43btxITUwhskyRIpA4n2rECHhhfpYwc4ktZrtV7kYe+zwap8l6zUs3x9rCmnP3z3H23lmt44jsYvhwWQxPmCVLS0vOnTvH2bNnjd7XAuTOnZu8efPyww8/cOnSJf744w+GDRtmtM/Ro0fp2rUrFStWpFq1asmeIyAgADs7O7p3786ZM2fYvXs3gwYNomvXriY/vwJSWVjY2Njg4+PDrl27DPfp9Xp27dpFzZo1k31M7dq1uXTpktGM+P/++w8PDw9sXjKm0tbWFhcXF6ObEKZq1ChwdYV//oGVK7VOIzLK1cdX2XB+A5AzWswmx9XOlfeKvwdIdyiRQfbsURfEk8XwhJl62ftSCwsLVq1axbFjx6hQoQJDhw5lauI8ov8bOnQohQoVYuvWrS9tiOHg4MCOHTt4+PAh1atXp23bttSvX5/Zs2dnys+T0XRKKlc/CgoKonv37nz//ffUqFGDGTNm8Msvv3D+/Hnc3Nzo1q0bBQsWJPD//2DcuHGD8uXL0717dwYNGsTFixfp1asXgwcP5vPPP0/ROcPDw3F1dSUsLEyKDGGSpkyBkSPVKxgXLoCtrdaJRHoN/304U/+ail8xP37v+rvWcTSz9ORSem7sScUCFTnV75TWcYQ5UxR45x3Yv1/tApXMGHWRfUVHRxMcHEzRokWxs7PTOo54wauen9S8D0/1TMQOHTpw7949xo4dS0hICFWqVGH79u2GyzPXr1/HwuLZhRAvLy927NjB0KFDqVSpEgULFmTIkCGMGDEitacWwmQNHgyzZ8O1azBvHnz0kdaJRHpExkay4PgCIGe1mE1Oi9ItsLKw4vTd01y4f4HS+Ux/jK8wUb/9phYVdnZqn24hRLaT6isWWpArFsIcLFoEH3wAefOqi+a5umqdSKTV90e/58MtH1I8d3H+G/QfFrpM73Nh0hqtaMT2S9uZVG8Sn78jbwhFGigK1Kih9uYeNkydtC1yFLliYdoy6opFzv7fUogM1L07lC0LDx7A119rnUaklaIohknbg2oMyvFFBTzrDrXmnMyzEGm0aZNaVDg6qp0uhBDZkvyPKUQGsbJ6Nhfx22/V9Z+E+dkVvIuz987iZONEz6o9tY5jElqWaYmlzpKTISe59PCS1nGEudHrYcwYdXvIEChQQNs8QohMI4WFEBmoeXOoXRuePoXx47VOI9Ji5qGZAPSs0hMXWxl6CZDXIS/vFn0XkO5QIg1Wr4bTp9XxoZ98onUaIUQmksJCiAyk08FXX6nbixbBSxakFybq0sNLbPlvC6AOgxLPtC33/+FQUliI1IiPh3Hj1O2PP4bcubXNI4TIVFJYCJHBateGFi3Uq/8jR2qdRqTG7MOzUVBoXLIxJfOW1DqOSWlVphUWOguO3TlG8KNgreMIc7FihdqDO29edRiUECJbk8JCiEwQGAgWFrBhA/z1l9ZpREqEx4Sz+MRiQFrMJie/Y37qetcF5KqFSKG4OJgwQd0ePhykq6MQ2Z4UFkJkgrJloVcvdXvECLXTojBty04u40nsE8rkK0ODYg20jmOSpDuUSJUlSyA4GNzcYMAArdMIIbKAFBZCZJLx48HeXl0P6tdftU4jXkWv6Jl1eBYAg2sMRqfTaZzINLUu2xodOg7fOsy1x9e0jiNMWXQ0TJyobo8apbaZFUJke1JYCJFJChZ8tgL3yJHqHEZhmrZd3MbFhxdxtXWlW+VuWscxWW5ObrxT5B0A1p5bq3EaYdJ++AFu3oRChaBPH63TCJFuISEhDBo0iGLFimFra4uXlxfNmjVj165dWkczKVJYCJGJhg+HPHng7FlYtkzrNOJlEhfE++CND3C0kU9WX0W6Q4nXevr02aI+o0eDrLIszNzVq1fx8fHhjz/+YOrUqZw+fZrt27dTr149BsgwPyNSWAiRiXLlUv9fBbXjYlSUpnFEMs7dO8dvl3/DQmfBwBoDtY5j8hKHQx28eZCb4Te1jiNM0YIFEBIChQtDT1lkUpi//v37o9PpOHz4MG3atKFUqVKUL1+eYcOG8ffffwOg0+mYN28ejRo1wt7enmLFirFmjfEHMDdu3KB9+/bkypWLPHny0KJFC65evWq0z9WrV9HpdElujx8/Nuyj0+nYsGGD0ePq1q3LR4nDJICYmBg++eQTChYsiKOjI76+vuzZsycDfyvJk8JCiEzWvz8UKQK3bsGsWVqnES9KnFvRvHRzvHN5axvGDHg6e1K7cG0A1p6V4VDiBdHRzxbzGTUKbGy0zSNMlqIoRMZGanJTUtFR5eHDh2zfvp0BAwbgmMxcoVy5chm2x4wZQ5s2bfjnn38ICAigY8eOnDt3DoC4uDj8/f1xdnZm3759HDhwACcnJxo2bEhsbGyS4+7cuZM7d+6wdm3a/p0dOHAgBw8eZNWqVZw6dYp27drRsGFDLl68mKbjpZRVph5dCIGtrTqHsVs3dXTABx+oLd2F9h49fcSyf9QxatJiNuXalm3L/uv7WXNuDUPelN+beM7ChXD7Nnh5QY8eWqcRJiwqLgqnQCdNzh0xMiLFw14vXbqEoiiUKVPmtfu2a9eODz74AICJEyfy+++/M2vWLObOnUtQUBB6vZ6FCxcaGoQsWbKEXLlysWfPHt577z1AvdIA4O7ujru7O3ny5En1z3f9+nWWLFnC9evX8fT0BOCTTz5h+/btLFmyhMmTJ6f6mCklVyyEyAIBAVC5MoSFPRt6LLS36MQiouKiqORWiTpF6mgdx2y0KdcGgAPXD3D7yW2N0wiTERMDU6ao2599pn6qIoSZS83VjZo1ayb5OvGKxT///MOlS5dwdnbGyckJJycn8uTJQ3R0NJcvXzY85sGDBwC4vGbdl06dOhmO4+TkxL59+wzfO336NAkJCZQqVcpon7179xqdKzPIFQshsoCFhfr/baNG6nCoQYPU4VFCOwn6BGYfng1Ii9nUKuRSiJqFanLw5kHWn1vPgBoyeVEAixerYz4LFoT339c6jTBxDtYORIyM0OzcKVWyZEl0Oh3nz59P1zkjIiLw8fFhxYoVSb6XP39+w/aVK1ewsbExXGl4mW+//RY/Pz/D1wEBAUbnsrS05NixY1haWho9zskpc68SSWEhRBbx94d69WD3bhg7VrpEaW3ThU1cC7tGXvu8dK7YWes4ZqdtubYcvHmQ1WdXS2Eh1KsViZdj5WqFSAGdTmcWXfjy5MmDv78/c+bMYfDgwUnmWTx+/Ngwz+Lvv/+mW7dnLcv//vtvqlatCsAbb7xBUFAQBQoUeOXViL1791KrVq0kBcGL3N3dKVGihOFre3t7w3bVqlVJSEjg7t27vP322yn+WTOCDIUSIovodM/mNP70E5w6pW2enC6xxWwfnz7YW9u/Zm/xosS2s39e+5PQiFCN0wjNLV0KN26Ah4c6kUyIbGTOnDkkJCRQo0YN1q5dy8WLFzl37hzfffed0fCn1atXs3jxYv777z/GjRvH4cOHGThQ7TYYEBBAvnz5aNGiBfv27SM4OJg9e/YwePBgbt68SUJCAn/++ScrV66kdevWhISEEBISwsOHDwG4e/duivOWKlWKgIAAunXrxrp16wgODubw4cMEBgayZcuWjP3lvEAKCyGyUPXq0L49KIr6oZ7QxqnQU+y5ugdLnSX9qvXTOo5ZKuxamBoFa6CgsP78eq3jCC3FxkLiZNARI2TdCpHtFCtWjOPHj1OvXj0+/vhjKlSoQIMGDdi1axfz5s0z7DdhwgRWrVpFpUqV+PHHH/n5558pV64cAA4ODvz5558ULlyY1q1bU7ZsWd5//32io6NxcXHhxo0b1KlTh6ioKAYPHoyHhwceHh60aaPOaStdunSqMi9ZsoRu3brx8ccfU7p0aVq2bMmRI0coXLhwxv1ikqFTUjMrRSPh4eG4uroSFhb22sksQpi6S5egbFl1Je4//lCHR4ms9f7G91l8cjHty7cnqG2Q1nHM1tQDUxm+czjvFn2XXd1k9dkca+FC6N0b3N3hyhWwlyuAIqno6GiCg4MpWrQodtmw+NTpdKxfv56WLVum6fFXr16lbt26Sda1SJQrVy6jtSwy2quen9S8D5crFkJksRIloG9fdXvECPXqhcg696Pus+K0OnlucI3BGqcxb4nDofZc3cO9yHsapxGaiIuDL79Ut4cPl6JCiDSytLQ0msT9Ijc3tyxMk3ZSWAihgTFjwNERjhyBFxbmFJnsh2M/EJMQg4+HD7W8amkdx6wVzV0UHw8f9IpehkPlVD/9BFevQoECzz4xEUKkmpeXF0eOHHnp9y9cuJCFadJOCgshNODmBp98om6PGqV+6CcyX1xCHHOPzAXUBfGkxWz6JV61WHNWKuQcJz7+2dWKTz8Fh5S38BQiu1EUJc3DoLITKSyE0MjHH6sf8l26BAsWaJ0mZ1h3bh23ntzCzdGN9uXbax0nW0gsLP4I/oMHUQ80TiOy1IoV6pyK/PmhnzRBEEJIYSGEZpyd1fUsACZMgAht1gnKUWYemgnAh9U+xNZK+uxnhBJ5SlDFvQoJSgIbzm/QOo7IKrGxMH68uv3JJ+rYTiFEjieFhRAa6tNHncx99y5Mn651muztyK0jHLx5EGsLaz6s9qHWcbKVtmX/PxzqnAyHyjF++EGdW+HhAf/v0y+EEFJYCKEha+tnQ5SnTlULDJE5EhfE61ChA+5O7hqnyV4Sh0PtvLKTR08faZxGZLrISJg0Sd0eM0bmVgghDKSwEEJjbdtCtWrqUKiJE7VOkz3deXKHoDPqehXSYjbjlc5XmooFKhKvj2fjhY1axxGZbeZMCA2FYsXg/fe1TiOEMCFSWAihMQsL+PprdXv+fLh8Wds82dH3x74nTh9HzUI1qV6wutZxsiXpDpVDPHr07B+sL74AGxtt8wghTIoUFkKYgHr1oGFDtXvj559rnSZ7iYmPYd7ReYDaYlZkjsTC4rfLvxEWHaZxGpFpvv4awsKgQgXo2FHrNEIIEyOFhRAmYsoU0OkgKAiOHtU6TfYR9G8QdyPvUtC5IK3LttY6TrZVLn85yuUvR5w+jk0XNmkdR2SGO3fUYVCgTg6ztNQ2jxBZoEePHuh0Oj78MGnTjwEDBqDT6ejRo0fWBzNRaSos5syZg7e3N3Z2dvj6+nL48OEUPW7VqlXodDpZQESIZFSuDF26qNsjRoCiaJsnO1AUhe8OqZO2+1fvj7WltcaJsjfpDpXNTZoET59CzZrQrJnWaYTIMl5eXqxatYqnT58a7ouOjmblypUULlxYw2SmJ9WFRVBQEMOGDWPcuHEcP36cypUr4+/vz93XtLO5evUqn3zyCW+//XaawwqR3SUOWf7jD/jtN63TmL+/bvzFsTvHsLW0pY9PH63jZHuJw6F2XNpBeEy4xmlEhrpyRW0xCzB5snp5VYgc4o033sDLy4t169YZ7lu3bh2FCxematWqhvvq1q3LRx99ZPTY8ePHU6VKFcPXer2eL774gkKFCmFra0uVKlXYvn274ftXr15Fp9MluW3evBmAmJgYBg8eTIECBbCzs+Ott97iyJEjmfODp0GqC4vp06fTu3dvevbsSbly5Zg/fz4ODg4sXrz4pY9JSEggICCACRMmUKxYsXQFFiI78/aGAQPU7REjQK/XNI7ZS1wQL6BiAPkc8mmcJvurUKACpfOWJiYhhs3/bdY6jshI48apk8Deew/q1tU6jcgOFEVtXazFLQ1DAnr16sWSJUsMXy9evJiePXum+jgzZ87km2++Ydq0aZw6dQp/f3+aN2/OxYsXjfbbuXMnd+7cMdwaNGgAwPDhw1m7di3Lli3j+PHjlChRAn9/fx4+fJjqLJkhVYVFbGwsx44dw8/P79kBLCzw8/Pj4MGDL33cF198QYECBXhf2tIJ8Vqffw4uLvDPP7BypdZpzNeNsBusO6d+ujTkTZm0nRV0Op10h8qOzpyBFSvU7cmTtc0iso+oKHBy0uYWFZXquF26dGH//v1cu3aNa9euceDAAbokjl9OhWnTpjFixAg6duxI6dKl+eqrr6hSpQozZsww2i9v3ry4u7sbbra2tkRGRjJv3jymTp1Ko0aNKFeuHAsWLMDe3p5FixalOktmSFVhcf/+fRISEnBzczO6383NjZCQkGQfs3//fhYtWsSCBQtSfJ6YmBjCw8ONbkLkFHnzwmefqdujR0NMjLZ5zNXcI3NJUBKo612XSm6VtI6TYyQWFtsubSMiNkLjNCJDjB6tfsLbti34+GidRghN5M+fnyZNmrB06VKWLFlCkyZNyJcv6ZXwuXPn4uTkZLhNfq4YDw8P5/bt29SuXdvoMbVr1+bcuXOvzXD58mXi4uKMHm9tbU2NGjVS9PiskKldoZ48eULXrl1ZsGBBsr/8lwkMDMTV1dVw8/LyysSUQpieIUPA0xOuXYN587ROY36exj3lh+PqeHBZEC9rVXarTPHcxYmOj2bLf1u0jiPS6+BB2LhRXXDniy+0TiOyEwcHdWVYLW5pXC2+V69eLF26lGXLltGrV69k9wkICODkyZOGW3LdpLKzVBUW+fLlw9LSktDQUKP7Q0NDcXd3T7L/5cuXuXr1Ks2aNcPKygorKyt+/PFHNm3ahJWVFZdfshLYyJEjCQsLM9xu3LiRmphCmD0HB5gwQd2eNEltGy9SbsXpFTx8+pAirkVoXrq51nFyFJ1OR7ty7QDpDmX29HoYOlTd7tkTypbVNo/IXnQ6cHTU5pbG5gMNGzYkNjaWuLg4/P39k93H1dWVEiVKGG558uQxfM/FxQVPT08OHDhg9JgDBw5Qrly5156/ePHi2NjYGD0+Li6OI0eOpOjxWSFVhYWNjQ0+Pj7s2rXLcJ9er2fXrl3UrFkzyf5lypTh9OnTRpVb8+bNqVevHidPnnzplQhbW1tcXFyMbkLkND16QJky8ODBs4Vuxes932J2YI2BWFpIr/2sljgcauvFrUTGRmqcRqTZqlVw6JD6RmziRK3TCKE5S0tLzp07x9mzZ7FM4zoun376KV999RVBQUFcuHCBzz77jJMnTzJkyOvnAjo6OtKvXz8+/fRTtm/fztmzZ+nduzdRUVEmM4/ZKrUPGDZsGN27d6datWrUqFGDGTNmEBkZaZgZ361bNwoWLEhgYCB2dnZUqFDB6PG5cuUCSHK/EMKYlZW6aF7LlvDtt2q3KE9PrVOZvj1X93D67mkcrB14v6pp/EOb07zh8Qbeuby5+vgq2y5tMxQawoxERamt6QBGjQIPD23zCGEi0vth9+DBgwkLC+Pjjz/m7t27lCtXjk2bNlGyZMkUPX7KlCno9Xq6du3KkydPqFatGjt27CB37tzpypVRdIqS+p5bs2fPZurUqYSEhFClShW+++47fH19AbWHr7e3N0uXLk32sT169ODx48ds2LAhxecLDw/H1dWVsLAwuXohchRFgbfegr/+gt69n7WRFy/XKqgVG85v4EOfD5nXVCaoaGX478OZ+tdUOpTvwKq2q7SOI1Jr4kQYOxYKF4bz58HeXutEwsxFR0cTHBxM0aJFsbOz0zqOeMGrnp/UvA9PU2GR1aSwEDnZgQNqcWFhAf/+qw6PEskLfhRM8e+Ko6Dwb/9/KZffNMac5kSHbx3Gd6EvjtaO3Pv0HvbW8sbUbNy6BaVKqVctVq2CDh20TiSyASksTFtGFRaZ2hVKCJF+tWtDixbqPMpRo7ROY9pmH56NgkKDYg2kqNBYdc/qFHYtTGRcJDsu79A6jkiNzz9Xi4pataB9e63TCCHMiBQWQpiByZPVKxbr16vDokRSEbERLDqhLhA0xFcWxNOaTqejbVl1bsXqs6s1TiNS7NgxWLZM3f722zR3zxFC5ExSWAhhBsqVU7s9gjqf0vQHMGa9H//5kbCYMErkKUGjko20jiN41h3q1wu/Eh0frXEa8VqKAh99pG536QI1amgaRwhhfqSwEMJMTJgAdnawfz9s3qx1GtOiV/TMOjwLgEE1BmGhk3/aTIFvIV8KOhfkSewTfr/8u9ZxxOusXav+A2NvD4GBWqcRQpgh+d9XCDNRsOCzDxM/+wzi4zWNY1J+v/w75++fx9nGmR5VemgdR/yfhc7CcNVChkOZuOho+PRTdXv4cChUSNs8Itsyg55BOVJGPS9SWAhhRkaMgDx54OxZ+PFHrdOYju8Oqwvi9azSExdb6RxnShILi00XNhETH6NxGvFSM2fC1avqYjmJBYYQGShxQbnY2FiNk4jkREVFAWBtbZ2u46R6gTwhhHZy5VIbtnz8sdpivmNHcHDQOpW2/nvwH1svbkWHjkG+g7SOI15Qy6sWHk4e3Im4w67gXTQu2VjrSOJFt2/Dl1+q21OmqCttC5HBrKyscHBw4N69e1hbW2NhIZ9tmwJFUYiKiuLu3bvkypUrzSuKJ5LCQggz07+/+uHi9eswa9azxXFzqtmHZwPQuGRjSuQpoXEa8SILnQVtyrZh9pHZrDm7RgoLUzRsGDx5ok7WDgjQOo3IpnQ6HR4eHgQHB3Pt2jWt44gX5MqVC3d393QfRxbIE8IM/fQTdOsGrq5w+TLkzat1Im2Ex4RTcHpBImIj+K3LbzQo3kDrSCIZe6/upe6yuuS2y03oJ6FYW6bvUrvIQDt2QMOGaj/ro0ehalWtE4lsTq/Xy3AoE2Ntbf3KKxWpeR8uVyyEMEOdO8O0aXDqlNq8Zdo0rRNpY8mJJUTERlA2X1n8ivlpHUe8xFuF38LN0Y3QyFD+CP4D/xL+WkcSAE+fwoAB6vbgwVJUiCxhYWEhK29nYzLATQgzZGmpDoUGdThUTryqnKBPMLSYHew7GJ0s5GWyLC0saV22NQBrzq7ROI0wCAxUL3kWLAhffKF1GiFENiCFhRBmqmFDqFcPYmPVidw5zdaLW7n86DK57HLRtVJXreOI10jsDrX+/Hri9dIrWXPnzz/7dGLmTHB21jaPECJbkMJCCDOl08FXX6nbP/2kDovKSRJbzH5Q9QMcbaSLjal7p8g75HPIx4OnD9hzdY/WcXI2RVG7QMTFQePG0Lq11omEENmEFBZCmLHq1aFdO/V9wsiRWqfJOv/e/ZedV3ZiobNgQI0BWscRKWBlYUXrMjIcyiSsWAG7d4OdHcyerX5KIYQQGUAKCyHM3JdfgpUVbN0Ke/ZonSZrfHdIvVrRonQLvHN5axtGpFjicKh159aRoE/QOE0O9eiR2l4W1DGURYtqm0cIka1IYSGEmStZEvr0UbeHD1evXmRnD58+5KdTPwEwxHeIxmlEatT1rkse+zzci7rHn9f+1DpOzjRyJNy7B2XLqittCiFEBpLCQohsYMwYdbHcI0dgTTYfZbLw+EKexj+lsltl3inyjtZxRCpYW1rTqkwrQIZDaeLgQfj+e3V7/nywsdE2jxAi25HCQohswN392YePo0apczKzo3h9PHOOzAGkxay5MgyHOi/DobJUbCz07atu9+gB70hRLoTIeFJYCJFNfPIJ5M8Ply7BwoVap8kcG89v5HrYdfI55KNzxc5axxFp8G7Rd8lll4uQiBAO3DigdZycY+JEOH0a8uWDr7/WOo0QIpuSwkKIbMLZ+dl6FhMmQESEtnkyw8xDMwHo80Yf7Kxk5VZzZGNpQ4vSLQAZDpVljhxRF8MDmDtX/QRCCCEygRQWQmQjffpA8eIQGgrTp2udJmOduHOCfdf3YWVhRf/q/bWOI9KhXbl2AKw9txa9otc4TTYXHQ3du0NCAnTooPanFkKITCKFhRDZiI2N2n4WYOpUuHtX2zwZKXFBvLbl2lLQpaDGaUR6+BXzw8XWhdtPbnPwxkGt42Rv48bBuXPg5gZz5midRgiRzUlhIUQ2064d+PioQ6EmTtQ6Tca4G3mXladXAjC4xmCN04j0srWypXnp5oAMh8pUBw/CtGnq9vffQ9682uYRQmR7UlgIkc1YWMBXX6nb8+fD5cva5skIPxz7gdiEWKp7VufNQm9qHUdkgMThUGvOrZHhUJkhKkodAqXXQ9eu0KKF1omEEDmAFBZCZEP164O/P8THw+efa50mfWITYpl7ZC4gLWazk/eKv4eTjRM3w29y+NZhreNkP59/DhcvgqcnzJypdRohRA4hhYUQ2dSUKaDTQVAQHD2qdZq0W3t2LXci7uDu5E778u21jiMyiJ2VHc1KNQNkOFSG+/PPZ8XEwoWQO7e2eYQQOYYUFkJkU1WqQECAuj1iBCiKpnHSLLHFbL9q/bCxlJWCsxPDcKiza1DM9S+oqYmIUBfAUxR4/31o1EjrREKIHEQKCyGysYkT1U5Rf/wBv/+udZrUO3TzEIduHcLG0oa+Pn21jiMyWMMSDXG0duRa2DWO3jbjy2qm5OOPITgYvLyyX89pIYTJk8JCiGzM2xv6/3/JhxEj1Hmc5iSxxWzHCh1xc3LTOI3IaPbW9jQp1QSQ4VAZIigIfvhBHQO5ZAm4uGidSAiRw0hhIUQ29/nn6vuLkyfh55+1TpNyt5/c5pd/fwGkxWx21rZsW0DtDiXDodLh0iXo3VvdHjlS7eAghBBZTAoLIbK5fPnUqxUAo0dDTIy2eVJq/tH5xOvjqe1VGx9PH63jiEzSuGRj7K3sufLoCidCTmgdxzzFxKiraj95Am+9BRMmaJ1ICJFDpamwmDNnDt7e3tjZ2eHr68vhwy9vFbhgwQLefvttcufOTe7cufHz83vl/kKIjDdkCHh4wNWrMG+e1mleLyY+hvlH5wMwxHeIxmlEZnK0caRxycaADIdKs08/hePH1QXwfv4ZrKy0TiSEyKFSXVgEBQUxbNgwxo0bx/Hjx6lcuTL+/v7cvXs32f337NlDp06d2L17NwcPHsTLy4v33nuPW7dupTu8ECJlHB2ffYg5aRKEhWmb53VWnVnFvah7FHIpRMsyLbWOIzJZ23LqcKjVZ1fLcKjUWr8eZs1St5ctg0KFtM0jhMjRUl1YTJ8+nd69e9OzZ0/KlSvH/PnzcXBwYPHixcnuv2LFCvr370+VKlUoU6YMCxcuRK/Xs2vXrnSHF0KkXM+eUKYMPHgAU6dqneblFEUxtJgdUH0A1pbWGicSma1JySbYWdlx6eElToWe0jqO+bh6FXr1Urc/+QSaNNE0jhBCpKqwiI2N5dixY/j5+T07gIUFfn5+HDx4MEXHiIqKIi4ujjx58rx0n5iYGMLDw41uQoj0sbKCwEB1e/p0uH1b2zwvc+DGAU6EnMDOyo7eb/TWOo7IAs62zjQs0RCQ4VApFhsLHTvC48fw5pswebLWiYQQInWFxf3790lISMDNzbjto5ubGyEhISk6xogRI/D09DQqTl4UGBiIq6ur4ebl5ZWamEKIl2jRAmrWhKdPTXd+Z+LVii4Vu5DXIa/GaURWSewOJcOhUujzz+HQIciVS51XYS1X9oQQ2svSrlBTpkxh1apVrF+/Hjs7u5fuN3LkSMLCwgy3GzduZGFKIbIvnQ6+/lrdXrQIzp/XNs+LroddZ/259QAM9pUWszlJs9LNsLG04cKDC5y5e0brOKZt40aYNk3dXrJEXbBGCCFMQKoKi3z58mFpaUloaKjR/aGhobi7u7/ysdOmTWPKlCn89ttvVKpU6ZX72tra4uLiYnQTQmSMt96C5s0hIQFGjdI6jbG5R+aSoCTwbtF3qehWUes4Igu52LrgX9wfgLXn1mqcxoSdOgUBAer2kCHQsqWmcYQQ4nmpKixsbGzw8fExmnidOBG7Zs2aL33c119/zcSJE9m+fTvVqlVLe1ohRIYIDAQLC7WhTAqnR2W6qLgoFhxfAMiCeDlVYncomWfxEvfuqZ8KREaqC+CZchcGIUSOlOqhUMOGDWPBggUsW7aMc+fO0a9fPyIjI+nZsycA3bp1Y+TIkYb9v/rqK8aMGcPixYvx9vYmJCSEkJAQIiIiMu6nEEKkSrlyapcoUBfPM4Uh7StOreDh04cUzVWUpqWaah1HaKB56eZYW1jz771/OXfvnNZxTEtMDLRuDdeuQYkS8MsvMq9CCGFyUl1YdOjQgWnTpjF27FiqVKnCyZMn2b59u2FC9/Xr17lz545h/3nz5hEbG0vbtm3x8PAw3KYljg8VQmhi/Hiws4N9+2DzZm2zKIrCd4e/A2BgjYFYWlhqG0hoIpddLhoUbwDIVQsjigL9+sH+/eDqCr/+Cq/orCiEEFrRKWbQfiM8PBxXV1fCwsJkvoUQGeizz+Crr9QrGKdOgaVG7+f/CP6D+j/Wx9HakZvDbpLLLpc2QYTmlpxYQq9NvajkVol/PvxH6zim4dtvYdgwdfzili3QsKHWiYQQOUhq3odnaVcoIYRp+ewzyJ0bzp6FH3/ULsd3h9SrFT2q9JCiIodrUaYFVhZWnAo9xX8P/tM6jva2bVMXvwP45hspKoQQJk0KCyFysFy51Hb4AGPHqutbZLUrj66w6cImAAbVGJT1AYRJyWOfh/pF6wMyHIqzZ9VF8PR6+OADtQuUEEKYMCkshMjhBgyAwoXh5k2YNSvrzz/78GwUFBqWaEjpfKWzPoAwOdIdCrh7V+0AFR4Ob78Nc+aoC9EIIYQJk8JCiBzOzg4mTlS3AwPh4cOsO3dEbASLTiwCpMWseKZlmZZY6iw5EXKCyw8vax0n6z1+DP7+cPmyuvjd2rVgY6N1KiGEeC0pLIQQBARAxYrq+5nAwKw777KTywiPCadU3lL4l/DPuhMLk5bPIR/1itYDcuBVi6goaNoUTp6EAgVgxw7In1/rVEIIkSJSWAghsLRUu0OBOhzq+vXMP6de0RtazA6qMQgLnfxzJJ5pW/b/w6HO5aDCIjZWXaviwAG1rexvv0GpUlqnEkKIFJP/yYUQgNpspm5ddR2usWMz/3y/Xf6N/x78h4utC90rd8/8Ewqz0qpsKyx0Fhy9fZTgR8Fax8l8CQnqpcMdO8DBAbZuhcqVtU4lhBCpIoWFEAJQ54UmXrX48Uc4fTpzzzfz0EwAelXphbOtc+aeTJidAo4FqFOkDgBrz63VOE0mUxTo0wfWrFHnUmzYALVqaZ1KCCFSTQoLIYRBjRrQrp36PmfkyMw7z4X7F9h+aTs6dAzylRazInk5ojuUosDHH8PixeoCeD//DA0aaJ1KCCHSRAoLIYSRL79U51xs2QJ792bOOWYdVvvaNivdjGK5i2XOSYTZa122NTp0HLp1iOthWTDxRwtffKGurA2waJE6x0IIIcyUFBZCCCMlS6qjMgCGD1c/UM1Ij6Mfs/TkUkBazIpXc3dy5+0ibwOw9mw2Gw6lKDBiBIwfr349Ywb06KFhICGESD8pLIQQSYwdC46OcPgwrFuXscdecmIJkXGRlM9fnneLvpuxBxfZTrbsDpWQoFbvX3+tfj11qqyqLYTIFqSwEEIk4e6uDvsGda5FXFzGHDdBn2AYBjXYdzA6WUlYvEbrsurQoL9u/MWt8Fsap8kAMTHQqRMsXKjOqViwAD75ROtUQgiRIaSwEEIk65NP1HW5Ll5Uh35nhC0XtxD8OJjcdrnpUqlLxhxUZGsFXQpSy0vtkGT23aEiIqBZM1i9Wu3+9Msv8MEHWqcSQogMI4WFECJZzs7P1rMYP159T5ReiS1me7/RGwdrh/QfUOQI7cq1A2D12dUaJ0mHhw/Vbk+//66OM9y8Gdq00TqVEEJkKCkshBAv1acPFC8OoaHPGtek1Zm7Z/gj+A8sdBYMqDEgYwKKHKFNWfUN+IHrB7gZflPjNGlw5w7UqQN//w25c8POndJSVgiRLUlhIYR4KRsbtf0sqPNM791L+7G+O/QdAK3KtKKwa+EMSCdyCi9XL2p71UZBYfW/ZnbV4tAhqF4dzpwBDw/48094802tUwkhRKaQwkII8Urt2oGPjzoUatKktB3jQdQDfjr1EwBDfKX7jUi9DuU7ABD0b5DGSVJhwQJ45x24dQtKl4YDB6BCBa1TCSFEppHCQgjxShYW8NVX6va8eXDlSuqPsfD4QqLjo6nqXpW3Cr+VsQFFjtCufDssdBYcunWI4EfBWsd5teho6N1bHUsYGwutWqm9m4sW1TqZEEJkKikshBCvVb8++PurbWdHj07dY+P18cw5MgeQFrMi7dyd3KlTpA4Av/z7i8ZpXuHGDfUqxcKFoNPB5Mmwdi24uGidTAghMp0UFkKIFJkyRX2f9PPPcPx4yh+34fwGboTfIL9DfjpW6Jh5AUW2l/j3x2SHQ+3erY4bPHIE8uSB7dvVhWCkmBZC5BBSWAghUqRKFQgIULdHjEj54xJbzPb16YudlV3GBxM5RuuyrbHUWXIi5AT/PfhP6zjPxMaqPZkbNFA7HFSpAkePwnvvaZ1MCCGylBQWQogUmzhR7RS1c6fajv91jt85zv7r+7GysKJf9X6ZH1Bka/kc8uFXzA+AoDMmctXiyBH1KsWECZCQAF26qJO0ZT6FECIHksJCCJFi3t7Qv7+6PWIE6PWv3j+xxWz78u3xdPbM3HAiR0gcDrXq31XaBomKUpenf/NNtZVs/vywahX8+CM4yOKPQoicSQoLIUSqfP65Og/1xAn1fdTL3I28y89nfgZgcI3BWZROZHcty7TExtKGs/fOcubuGW1C7N0LlSvDN9+o1XVAAJw9Cx06yHwKIUSOJoWFECJV8uV7Nsfis8/g4cPk9/v+6PfEJsTiW9AX30K+WRdQZGu57HLhX9wf0GA41L170K8f1K0Lly5BwYKweTMsX66+MIQQIoeTwkIIkWoffQTFi6udNXv0AEUx/n5sQixzj84F1BazQmSk54dDKS/+5csMDx/CqFHqvIn589X7+vaFf/+FJk0y//xCCGEmpLAQQqSagwOsXg22tvDrr+qIkOetObuGkIgQPJw8aFuurTYhRbbVrFQz7KzsuPTwEidCTmTeicLC1EnZRYtCYCBERqoTtXfvVgsMV9fMO7cQQpghKSyEEGlStSrMmKFuf/aZ2ggnUWKL2f7V+2NjaZP14US25mzrTNNSTQFYdSYTJnFHRKiFRNGiahvZ8HCoWBE2bFC7QNWtm/HnFEKIbEAKCyFEmvXtC506qV02O3SAe/cUFh5fyOFbh7GxtKGPTx+tI4psqkP5DoC6CneGDIdSFDh8GAYMgMKF1aFPjx5BmTIQFAQnT0KLFjI5WwghXiFNhcWcOXPw9vbGzs4OX19fDh8+/Mr9V69eTZkyZbCzs6NixYps3bo1TWGFEKZFp4Pvv4dSpeDWwwdUnNie3r/2BqD3G70p4FhA44Qiu2pcsjGO1o5cC7vGoVuH0n6g27fh66+hfHnw9YW5c9WConhxtXXsmTPQvj1YyOdwQgjxOqn+lzIoKIhhw4Yxbtw4jh8/TuXKlfH39+fu3bvJ7v/XX3/RqVMn3n//fU6cOEHLli1p2bIlZ85o1CZQCJGhnJ1hyKxtMKACoXnXYIEVk+pNYkbDGVpHE9mYg7UDLcq0AFI5HEpR4MIFWLgQGjcGLy+1zdm5c2Bnp7aO/f13dZ+uXcHSMpN+AiGEyH50SiqvIfv6+lK9enVmz54NgF6vx8vLi0GDBvHZZ58l2b9Dhw5ERkayefNmw31vvvkmVapUYX5id43XCA8Px9XVlbCwMFxcXFITVwiRiSJjI/n090+Zd3Seese9sug2/MTuFT7UqaNtNpH9bbqwiRarWuDh5MGNoTewtEimCIiLU4cx7dsH+/ert3v3jPepXVttb9aunUzIFkKIF6TmfbhVag4cGxvLsWPHGDlypOE+CwsL/Pz8OHjwYLKPOXjwIMOGDTO6z9/fnw0bNqTm1Jr7b/caoh8mf1VGiJwoPCacOYfncCP8JrWBduXa8vjgh/x+6ynfttmP0xiwttY6pcg2Ej8DUxRQFHQoFNLb0ei6I7Fxdwga0pciT+1wePgAx0cPcHj4AIdHD3C+G4p1TLTRoeKtbQgtVZbbFavyX733CPP0Ur+x73QW/1BCCPF6VYsVpma5wlrHSJFUFRb3798nISEBNzc3o/vd3Nw4f/58so8JCQlJdv+QkJCXnicmJoaYmBjD1+Hh4amJmSme9n2fyhe1zyGEKXnL6Ks1wBrGATwAPsr6PCLneTZjb9FL93loB/sLP7sd84wl1uof4B+4sxTuZH5OIYRIq/rHJ7Jz7GitY6RIqgqLrBIYGMiECRO0jmEkskAugh8/1TqGECbFwdqefA75sdQ9m64VGwuhdyE+XsNgIltSSOzIpENBh6LToVjEEOtwm3sOOkIcLbnjZEWIoxWhDur2LScrLua2Rnm+m1MUyMU0IYS5yOeZR+sIKZaqwiJfvnxYWloSGhpqdH9oaCju7u7JPsbd3T1V+wOMHDnSaPhUeHg4Xl5eqYma4Wrtv6bp+YUwFzaAtq9WIYQQQmghVV2hbGxs8PHxYdeuXYb79Ho9u3btombNmsk+pmbNmkb7A/z+++8v3R/A1tYWFxcXo5sQQgghhBDCdKV6KNSwYcPo3r071apVo0aNGsyYMYPIyEh69uwJQLdu3ShYsCCBgYEADBkyhDp16vDNN9/QpEkTVq1axdGjR/nhhx8y9icRQgghhBBCaCbVhUWHDh24d+8eY8eOJSQkhCpVqrB9+3bDBO3r169j8dxCQrVq1WLlypWMHj2aUaNGUbJkSTZs2ECFChUy7qcQQgghhBBCaCrV61hoQdaxEEIIIYQQIuul5n14qlfeFkIIIYQQQogXSWEhhBBCCCGESDcpLIQQQgghhBDpZpIL5L0ocRqIKazALYQQQgghRE6R+P47JdOyzaKwePLkCYDmi+QJIYQQQgiREz158gRXV9dX7mMWXaH0ej23b9/G2dkZnU6nSYbE1b9v3LghnanMkDx/5k2eP/Mmz595k+fPvMnzZ75M5blTFIUnT57g6elptKREcsziioWFhQWFChXSOgaArARu5uT5M2/y/Jk3ef7Mmzx/5k2eP/NlCs/d665UJJLJ20IIIYQQQoh0k8JCCCGEEEIIkW5SWKSQra0t48aNw9bWVusoIg3k+TNv8vyZN3n+zJs8f+ZNnj/zZY7PnVlM3hZCCCGEEEKYNrliIYQQQgghhEg3KSyEEEIIIYQQ6SaFhRBCCCGEECLdpLAQQgghhBBCpJsUFik0Z84cvL29sbOzw9fXl8OHD2sdSaTA+PHj0el0RrcyZcpoHUu8xJ9//kmzZs3w9PREp9OxYcMGo+8risLYsWPx8PDA3t4ePz8/Ll68qE1YkcTrnr8ePXokeT02bNhQm7DCSGBgINWrV8fZ2ZkCBQrQsmVLLly4YLRPdHQ0AwYMIG/evDg5OdGmTRtCQ0M1Siyel5Lnr27duklefx9++KFGicXz5s2bR6VKlQwL4dWsWZNt27YZvm9Orz0pLFIgKCiIYcOGMW7cOI4fP07lypXx9/fn7t27WkcTKVC+fHnu3LljuO3fv1/rSOIlIiMjqVy5MnPmzEn2+19//TXfffcd8+fP59ChQzg6OuLv7090dHQWJxXJed3zB9CwYUOj1+PPP/+chQnFy+zdu5cBAwbw999/8/vvvxMXF8d7771HZGSkYZ+hQ4fy66+/snr1avbu3cvt27dp3bq1hqlFopQ8fwC9e/c2ev19/fXXGiUWzytUqBBTpkzh2LFjHD16lHfffZcWLVrw77//Amb22lPEa9WoUUMZMGCA4euEhATF09NTCQwM1DCVSIlx48YplStX1jqGSANAWb9+veFrvV6vuLu7K1OnTjXc9/jxY8XW1lb5+eefNUgoXuXF509RFKV79+5KixYtNMkjUufu3bsKoOzdu1dRFPW1Zm1traxevdqwz7lz5xRAOXjwoFYxxUu8+PwpiqLUqVNHGTJkiHahRKrkzp1bWbhwodm99uSKxWvExsZy7Ngx/Pz8DPdZWFjg5+fHwYMHNUwmUurixYt4enpSrFgxAgICuH79utaRRBoEBwcTEhJi9Fp0dXXF19dXXotmZM+ePRQoUIDSpUvTr18/Hjx4oHUkkYywsDAA8uTJA8CxY8eIi4szev2VKVOGwoULy+vPBL34/CVasWIF+fLlo0KFCowcOZKoqCgt4olXSEhIYNWqVURGRlKzZk2ze+1ZaR3A1N2/f5+EhATc3NyM7ndzc+P8+fMapRIp5evry9KlSyldujR37txhwoQJvP3225w5cwZnZ2et44lUCAkJAUj2tZj4PWHaGjZsSOvWrSlatCiXL19m1KhRNGrUiIMHD2Jpaal1PPF/er2ejz76iNq1a1OhQgVAff3Z2NiQK1cuo33l9Wd6knv+ADp37kyRIkXw9PTk1KlTjBgxggsXLrBu3ToN04pEp0+fpmbNmkRHR+Pk5MT69espV64cJ0+eNKvXnhQWIltr1KiRYbtSpUr4+vpSpEgRfvnlF95//30NkwmR83Ts2NGwXbFiRSpVqkTx4sXZs2cP9evX1zCZeN6AAQM4c+aMzEczUy97/vr06WPYrlixIh4eHtSvX5/Lly9TvHjxrI4pXlC6dGlOnjxJWFgYa9asoXv37uzdu1frWKkmQ6FeI1++fFhaWiaZfR8aGoq7u7tGqURa5cqVi1KlSnHp0iWto4hUSny9yWsx+yhWrBj58uWT16MJGThwIJs3b2b37t0UKlTIcL+7uzuxsbE8fvzYaH95/ZmWlz1/yfH19QWQ15+JsLGxoUSJEvj4+BAYGEjlypWZOXOm2b32pLB4DRsbG3x8fNi1a5fhPr1ez65du6hZs6aGyURaREREcPnyZTw8PLSOIlKpaNGiuLu7G70Ww8PDOXTokLwWzdTNmzd58OCBvB5NgKIoDBw4kPXr1/PHH39QtGhRo+/7+PhgbW1t9Pq7cOEC169fl9efCXjd85eckydPAsjrz0Tp9XpiYmLM7rUnQ6FSYNiwYXTv3p1q1apRo0YNZsyYQWRkJD179tQ6mniNTz75hGbNmlGkSBFu377NuHHjsLS0pFOnTlpHE8mIiIgw+vQsODiYkydPkidPHgoXLsxHH33EpEmTKFmyJEWLFmXMmDF4enrSsmVL7UILg1c9f3ny5GHChAm0adMGd3d3Ll++zPDhwylRogT+/v4aphagDp9ZuXIlGzduxNnZ2TB229XVFXt7e1xdXXn//fcZNmwYefLkwcXFhUGDBlGzZk3efPNNjdOL1z1/ly9fZuXKlTRu3Ji8efNy6tQphg4dyjvvvEOlSpU0Ti9GjhxJo0aNKFy4ME+ePGHlypXs2bOHHTt2mN9rT+u2VOZi1qxZSuHChRUbGxulRo0ayt9//611JJECHTp0UDw8PBQbGxulYMGCSocOHZRLly5pHUu8xO7duxUgya179+6KoqgtZ8eMGaO4ubkptra2Sv369ZULFy5oG1oYvOr5i4qKUt577z0lf/78irW1tVKkSBGld+/eSkhIiNaxhaIk+7wBypIlSwz7PH36VOnfv7+SO3duxcHBQWnVqpVy584d7UILg9c9f9evX1feeecdJU+ePIqtra1SokQJ5dNPP1XCwsK0DS4URVGUXr16KUWKFFFsbGyU/PnzK/Xr11d+++03w/fN6bWnUxRFycpCRgghhBBCCJH9yBwLIYQQQgghRLpJYSGEEEIIIYRINykshBBCCCGEEOkmhYUQQgghhBAi3aSwEEIIIYQQQqSbFBZCCCGEEEKIdJPCQgghhBBCCJFuUlgIIYQQQggh0k0KCyGEEEIIIUS6SWEhhBBCCCGESDcpLIQQQgghhBDpJoWFEEIIIYQQIt2ksBBCCCGEEEKkmxQWQgghhBBCiHSTwkIIIYQQQgiRblJYCCGEEEIIIdJNCgshhBBCCCFEuklhIYQQQgjNXb16FZ1Ox9KlS7WOIoRIIykshMjBevTogZOTk9YxhBBmpnnz5jg4OPDkyZOX7hMQEICNjQ0PHjzIwmRCCC1JYSFEDvPgwQO+++472rVrx7Zt23j69CkNGzZk5MiRnDhxQut4QggzEBAQwNOnT1m/fn2y34+KimLjxo00bNiQvHnzZnE6IYRWpLAQIgdZtWoV3t7eDBkyhKNHj2JtbY1Op+PBgwd88803vPHGG/To0YPY2FitowohTFjz5s1xdnZm5cqVyX5/48aNREZGEhAQkMXJhBBaksJCiBziwIEDdOnSBXd3dw4cOEBwcDB+fn7Y2dlx5MgRbt++TadOnVi2bBlDhw4FQFEUvL29adGiRZLjRUdH4+rqSt++fQHYs2cPOp2ONWvWJNnXycmJHj16GL5eunQpOp2Oq1evGu77999/yZ07N02bNiU+Pt5ov6NHjxod7/79++h0OsaPH290f3L3TZ06FZ1OR926dQ33JWbds2eP0b5NmjRJ9hgvSnz8y27J/ax//vknffv2JW/evLi4uNCtWzcePXpkdFxvb2+jxwKsXr0anU6Ht7e34b7EsejTpk1Lkq1ChQpGP2tsbCxjx47Fx8cHV1dXHB0defvtt9m9e3eyP1ti3hdvz5//eS/7HTz/3AIsX74cHx8f7O3tyZMnDx07duTGjRtGOevUqUOxYsW4d++e4f7x48ej0+mMjjVt2jSsrKzYunWr4b66detSoUKFJPmmTZuWbJ65c+dSvnx5bG1t8fT0ZMCAATx+/DjJ4w8dOkTjxo3JnTs3jo6OVKpUiZkzZwLqUMJX/T14/rwpfW5fJfF5T8nvO/F3kty+L85hmDdvHhUqVMDBwcFov+Rey4ns7e1p3bo1u3bt4u7du0m+v3LlSpydnWnevDkPHz7kk08+oWLFijg5OeHi4kKjRo34559/Xvsz161b1+jvc6IePXok+b3p9XpmzJhB+fLlsbOzw83Njb59+yZ5nQkhMo+V1gGEEFljypQp6PV6Vq1ahY+PT5Lv58uXjx9//JGzZ8/y/fffM27cOAoUKECXLl34+uuvefjwIXny5DHs/+uvvxIeHk6XLl3Sne3GjRs0bNiQMmXK8Msvv2BllTH/ND1+/JjAwMAU7fvnn38avVFNicGDB1O9enWj+z744INk9x04cCC5cuVi/PjxXLhwgXnz5nHt2jVDkZKc+Ph4Pv/881RlelF4eDgLFy6kU6dO9O7dmydPnrBo0SL8/f05fPgwVapUSfZxX3zxBUWLFgXgm2++eeWbs1atWtG6dWsA9u3bxw8//GD0/S+//JIxY8bQvn17PvjgA+7du8esWbN45513OHHiBLly5cLGxoZ169bx5ptv0qpVK3bt2oWtrW2Sc23cuJERI0YwY8YMGjdunKbfyfjx45kwYQJ+fn7069fP8HwcOXKEAwcOYG1tDcDvv/9O06ZN8fDwYMiQIbi7u3Pu3Dk2b97MkCFD6Nu3L35+fobjdu3a1eh3AZA/f/5kM6Tnue3UqZPhZ9+6dSs///zzS/ctU6aM4Tz37983fGiQKCgoiP79+1O3bl0GDRqEo6Mj586dY/Lkya/NERAQwLJly/jll18YOHCg4f6HDx+yY8cOOnXqhL29Pf/++y8bNmygXbt2FC1alNDQUL7//nvq1KnD2bNn8fT0TMuvIYm+ffuydOlSevbsyeDBgwkODmb27NmcOHHC6HkVQmQeKSyEyCH++usvChcunGxRkcjKyormzZvzzz//cPjwYZo2bUq3bt348ssv+eWXX/jwww8N+y5fvhxvb2/eeuutdOV69OgRDRs2xNHRkc2bN+Pg4JCu4z0vMDAQa2vrV/7MiYYPH06jRo3Ytm1bio//9ttv07ZtW6P7nv8dPc/GxoZdu3YZ3twUKVKE4cOH8+uvv9K8efNkH7NgwQKuX79OvXr1uHLlSopzPS937txcvXoVGxsbw329e/emTJkyzJo1i0WLFhntHxcXB0Djxo0Nv7dVq1YlW1gkXlmqUqWKocCMj483KiyuXbvGuHHjmDRpEqNGjTLc37p1a6pWrcrcuXMN9+fNm5ctW7bw5ptv8sEHH/DTTz8Zne/kyZMEBATQr18/Bg0alKbfx7179wgMDOS9995j27ZtWFioF+7LlCnDwIEDWb58OT179iQhIYG+ffvi4eHByZMnyZUrl+EYiqIAULNmTWrWrGm4v2vXrlSqVClFxXZantvE58bHx8dwjpCQkJcWFvHx8Xh4eBj2vXr1apLCYuPGjeTKlYtt27ZhZ2cHqFfkUlJYvPvuu3h4eLBy5UqjwmL16tXExcUZhkFVrFiR//77z/C7BvV3VaZMGRYtWsSYMWNS9PO/yv79+1m4cCErVqygc+fOhvvr1atHw4YNWb16tdH9QojMIUOhhMghnjx5QoECBV67n5ubG6B+0g1QqlQpfH19WbFihWGfhw8fsm3bNgICApJ82v7kyRPu379vdHuZ6Ohomjdvzr1799i+fXuGTvK8desWs2bNYsyYMa/tfLVu3TqOHDnClClTMuz8L+rTp4/RJ6b9+vVLMpzneVFRUXzxxRcMHDiQwoULv3SfF3/XCQkJRvtYWloaigq9Xs/Dhw+Jj4+nWrVqHD9+PMkxo6OjAQxvMl8lcS5OclcWEq1btw69Xk/79u2Ncrq7u1OyZMkkQ7JKlSrF2rVrWbFiBZMmTTLcf+fOHZo1a0bNmjUNQ5FelJCQkOT3ERUVZbTPzp07iY2N5aOPPjJ6o9u7d29cXFzYsmULACdOnCA4OJiPPvrIqKgAXnqFKaVS8twmJzXPDajPz6ueG1Bfrw4ODik+5vMsLS3p2LEjBw8eNBqKtXLlStzc3Khfvz6g/v1I/F0nJCTw4MEDnJycKF26dLJ/B9Ni9erVuLq60qBBA6Pn38fHBycnp5cO/RNCZCwpLITIITw9Pbl8+fJr97t06RIABQsWNNzXrVs3Dhw4wLVr14Bnn0h27do1yeN79epF/vz5jW6RkZHJnqtnz57s37+fJ0+eGD79zijjxo3D09PTMAfkZRISEhg1ahQBAQFUqlQpQzM8r2TJkkZfOzk54eHhkezYeIDp06cTHR1t9Cn/i8aNG5fkd33+/Pkk+y1btoxKlSphZ2dH3rx5yZ8/P1u2bCEsLCzJvomFoKur62t/psQ5Ca8q3C5evIiiKJQsWTJJ1nPnziU7Pv/evXsoisLYsWMNb/RbtGjBzZs3k90/0fnz55OcY9y4cUb7JP4dLl26tNH9NjY2FCtWzPD9xNdKcvM20islz21yUvPcgPr8vK6orlmzJrdv32b8+PFcv36d+/fvJ/v34mUSr0okTuK+efMm+/bto2PHjlhaWgJqQfvtt99SsmRJbG1tyZcvH/nz5+fUqVOpOterXLx4kbCwMAoUKJDk70BERMQr/94IITKODIUSIodo2rQpc+bMYdGiRbz//vvJ7hMaGsqyZcvInz8/b775puH+jh07MnToUFasWMGoUaNYvnw51apVS/LmDGDs2LG8/fbbRvc1a9Ys2fMdP36cjRs3MnDgQPr06cMff/yRjp/wmXPnzrF06VKWL1/+2nHVixYt4urVq+zYsSNDzp0R7t+/z9SpUxk5cqTRvJYX9enTh3bt2hnd17t3b6Ovly9fTo8ePWjZsiWffvopBQoUwNLSksDAwGQLzatXr2JtbZ2ice8hISEAuLu7v3QfvV6PTqdj27Zthjeaz3vxjW9ERATDhg2jU6dOeHh4MH36dEOujRs30qZNG2bNmsVHH32U5Fje3t4sWLDA6L7Vq1cnmfOhpZQ+t8l5fiJ4SoSEhODv7//KfYYOHcqFCxeYOHEiEyZMSFUeUIdllSlThp9//plRo0bx888/oyiKUTeoyZMnM2bMGHr16sXEiRPJkycPFhYWfPTRR+j1+lceX6fTGYaePe/FK3N6vZ4CBQoYXVl93svmugghMpYUFkLkEKNHj2bDhg3069eP8+fP07lzZ8N/ztevX2fXrl2MHTuWR48esXLlSqMhFHny5KFJkyasWLGCgIAADhw4wIwZM5I9T8WKFY0mtALJvqEEWLhwIc2bN8fS0pKmTZu+suhJjZEjR1KlShU6dOjwyv2ioqKYMGEC/fv3p0iRIuk+76tcvHiRevXqGb6OiIjgzp07yU5AnjRpEs7OzgwZMuSVxyxZsmSS37Wjo6PR12vWrKFYsWKsW7fOaAjPi5/kJzp69ChvvPGG0TChlzl79iwAZcuWfek+xYsXR1EUihYtSqlSpV57zHHjxvHkyRO++eYb3Nzc+Pfff9mxYwcbNmygVq1aDBkyhHHjxtGhQwc8PDyMHuvo6Jjk93Hy5EmjrxOf5wsXLlCsWDHD/bGxsYZOaYm5Ac6cOZPkmOmR0uc2OUePHsXKyuqlE+6fd/PmTZ48efLK5wbU7k4LFizgxIkTuLq6Mm7cOP755x8++eSTFOcKCAhgzJgxnDp1ipUrV1KyZEmjpgZr1qyhXr16SebzPH78mHz58r3y2Llz5052DkrilaVExYsXZ+fOndSuXRt7e/sUZxdCZCwZCiVEDuHu7s7Bgwdp1KiRYc2K5cuXExkZSZEiRejVqxf29vb8+uuvdOrUKcnju3btytmzZ/n0008NY6vTK/HKRpMmTejYsSOffvopoaGh6TrmwYMH2bhxI1OmTHntWPiZM2cSGRmZ7s5LKfHDDz8YJt+C2uIzPj6eRo0aGe139epV5s2bx/jx4zPkDVJiUff8p76HDh3i4MGDSfY9e/YsZ8+eTba9cHKCgoLw8PB45ZvX1q1bY2lpyYQJE5J88qwoitGqzGfOnOG7775jwoQJeHh4YGFhYbhyVqtWLUDt6OTs7MywYcNSlPFFfn5+2NjY8N133xnlWbRoEWFhYTRp0gSAN954g6JFizJjxowkbWiT+wQ9JdLz3MbGxrJp0ybefffd1w5vAnXCPagTrF9n5MiRXL9+neXLl+Pn55eiZgfPS7w6MXbsWMME++dZWlom+Z2tXr2aW7duvfbYxYsX5/z580YtiP/55x8OHDhgtF/79u1JSEhg4sSJSY4RHx+fbCthIUTGkysWQuQgXl5ebNy4kTt37nDgwAGmTp3KyZMnmT9/PlWqVKFKlSovfTPepEkT8ubNy+rVq2nUqFGKJoKnxsyZMylbtiyDBg3il19+MfrewYMHjSaBJ04sv3TpEocPH6ZGjRqG7/322280aNAgRZ8y//bbb3z55ZdZsjJwbGws9evXp3379ly4cIG5c+fy1ltvJekItXfvXsqWLUvPnj0z5LxNmzZl3bp1tGrViiZNmhAcHMz8+fMpV64cERERhv127Nhh+JTa3t6e5cuXG75369YtIiMjWb58OV26dOHo0aOMGTOG7du3M3/+/FcWcMWLF2fSpEmMHDmSq1ev0rJlS5ydnQkODmb9+vX06dPHcN7+/ftTvnz5V3Z8cnJy4ttvv6V9+/b07t07RW+cn5c/f35GjhzJhAkTaNiwIc2bNzc8H9WrVzd0ULKwsGDevHk0a9aMKlWq0LNnTzw8PDh//rzhKkpqpfW5PXXqFBMmTODmzZs0adLE6LlJnPy8YcMGwwcC48aNY+HChXTs2JEyZcq88tg7d+7k22+/5aeffkrzVbuiRYtSq1YtNm7cCJCksGjatClffPEFPXv2pFatWpw+fZoVK1YYXTF6mV69ejF9+nT8/f15//33uXv3LvPnz6d8+fKGfwcA6tSpQ9++fQkMDOTkyZO89957WFtbc/HiRVavXs3MmTOTdHATQmQCRQiRY3Xv3l1xdHRM8f79+/dXAGXlypVJvrd7924FUFavXp3ke46Ojkr37t0NXy9ZskQBlODgYKP9li1bpgDKpk2bjPZ71a1OnTqGxwOKTqdTjh07ZnTcOnXqGO2XmNXDw0OJjIw02hdQxo0b98rfQ1p+1r179yp9+vRRcufOrTg5OSkBAQHKgwcPjB5bpEgRBVDWr19vdH/37t2VIkWKGL4ODg5WAGXq1KlJzl++fHmjn1Wv1yuTJ09WihQpotja2ipVq1ZVNm/enOSYderUee3vOvG/jK+++kqpXr26smLFiiTnf9lzu3btWuWtt95SHB0dFUdHR6VMmTLKgAEDlAsXLiiKoj73Op1OOXDggNHjxo0bpyT3X1WDBg2UMmXKKDExMYb85cuXT7Lf1KlTk80ze/ZspUyZMoq1tbXi5uam9OvXT3n06FGSx+/fv19p0KCB4uzsrDg6OiqVKlVSZs2alWQ/RXn1352UPrfJSfwdvO62e/du5cCBA0qJEiWU8ePHG343iRL/3ixZskRRFEW5f/++4unpqXTq1Mlov1f9/X6ZOXPmKIBSo0aNJN+Ljo5WPv74Y8XDw0Oxt7dXateurRw8eDDJ6/LFfImWL1+uFCtWTLGxsVGqVKmi7Nix46W/tx9++EHx8fFR7O3tFWdnZ6VixYrK8OHDldu3b6f4ZxFCpJ1OUdJ4TVcIkeMMHTqURYsWERISkqHrTaTV+PHj2bNnT5IVtE1J4oJdR44coVq1alrHeanEFY5ftur41atXKVq0aJqHAYm0S8nfc29vb5YuXZrsKtVCCJFVZI6FECJFoqOjWb58OW3atDGJokIIIYQQpkXmWAghXunu3bvs3LmTNWvW8ODBgzR1s8ksJUqUSLIAmkibBg0avHIStpOTU5Kx8yJrVKpU6bVtk1u1amVY3FIIIbQiQ6GEEK+0Z88e6tWrR4ECBRgzZgwDBw7UOpJZMZehUEIIIUR6SWEhhBBCCCGESDeZYyGEEEIIIYRINykshBBCCCGEEOlmFpO39Xo9t2/fxtnZ+bUr6QohhBBCCCEyhqIoPHnyBE9PTywsXn1NwiwKi9u3b+Pl5aV1DCGEEEIIIXKkGzduUKhQoVfuYxaFhbOzM6D+QC4uLhqnEUIIIYQQImcIDw/Hy8vL8H78VcyisEgc/uTi4iKFhRBCCCGEEFksJdMRZPK2EEIIIYQQIt2ksBBCCCGEEEKkmxQWQgghhBBCiHRLdWHx559/0qxZMzw9PdHpdGzYsOG1j9mzZw9vvPEGtra2lChRgqVLl6YhqhBCCCGEEMJUpbqwiIyMpHLlysyZMydF+wcHB9OkSRPq1avHyZMn+eijj/jggw/YsWNHqsMKIYQQQgghTFOqu0I1atSIRo0apXj/+fPnU7RoUb755hsAypYty/79+/n222/x9/dP7emFEEIIIYQQJijT280ePHgQPz8/o/v8/f356KOPMvvUGWrdOjhxAnr3hsKFtU4jhBBCCCHMiqJAVBSEhUF4+LM/w8MhJgbi4oxv8fHqn2+/DbVqaZ0+RTK9sAgJCcHNzc3oPjc3N8LDw3n69Cn29vZJHhMTE0NMTIzh6/Dw8MyO+VqBgXD0KFSpIoWFKbn44CJWFlYUzV1U6yhCCCGEyIn0erh9G65cgRs3ICQk+dujR5CQkPrjT5wohUV6BAYGMmHCBK1jGClXTi0szp3TOolIdOfJHap+XxUFhd3dd1OjYA2tIwkhhBAiO1IUuH4dzpyB8+fVIuLKFQgOVm+xsSk/loUFuLqCi4v6p7Mz2NmBtfWzm5XVs+1KlTLv58pgmV5YuLu7ExoaanRfaGgoLi4uyV6tABg5ciTDhg0zfJ24lLiWypZV/5TCwnTMOjyLyLhIAJqsbMJfvf6iZN6SGqcSQgghhFl78ACOHVOLiH//Vf88exYiIl7+GCsrKFJEHdbi4QHu7sY3NzfIl08tJBwcIAWrWJujTC8satasydatW43u+/3336lZs+ZLH2Nra4utrW1mR0uVxMLi7FltcwhVRGwE847OA8DdyZ2QiBAarmjIX73+ws3J7TWPFkIIIYRALRaOH4cjR+DwYfXP4ODk97W2hjJl1DeFJUpAsWLqrWhRKFRILS5yuFT/BiIiIrh06ZLh6+DgYE6ePEmePHkoXLgwI0eO5NatW/z4448AfPjhh8yePZvhw4fTq1cv/vjjD3755Re2bNmScT9FFihXTv3zwgV1KJ2FLC2oqSUnlvA4+jEl85Rkb4+9vLXkLa48ukKTlU3Y02MPTjZOWkcUQgghhKkJCYE//4S9e2HfPvWKhF6fdL+SJdUhSBUqQPny6p8lSqjFhXipVBcWR48epV69eoavE4csde/enaVLl3Lnzh2uX79u+H7RokXZsmULQ4cOZebMmRQqVIiFCxeaXavZokXBxgaePoVr19SvhTYS9Al8+/e3AAx9cygezh5sD9hOrcW1OHbnGO1Wt2NTx01YW8qLXwghhMjRbt+G3bvVQmLvXvjvv6T7FCoE1as/u1WrBrlyZXnU7ECnKIqidYjXCQ8Px9XVlbCwMFxcXDTLUbGiOsxu82Zo0kSzGDnemrNraLe6HXnt83J96HUcrB0AOHzrMPWW1SMqLooeVXqwuPlidNl0DKMQQgghkhEbCwcOwPbtsG0bnD5t/H2dTr0SUaeOeqtVS50DIV4qNe/DZTBYKpQrpxYW585JYaEVRVGY9tc0APpX728oKgBqFKzBL21/ocWqFiw9uZRCzoWY+O5EraIKIYQQIivcvKl+6rt9O+zaZTzJWqeDN96AunXhnXfUNSFy59YsanYnhUUqSGco7f114y8O3TqEraUtA6oPSPL9JqWaML/pfHr/2ptJ+yZR0KUgH1b7UIOkQgghhMg0Fy+qqxevW6dOun5egQLg7w+NGkGDBmo3JpElpLBIBekMpb1vDn4DQNdKXV/a/emDNz7gVvgtxu8dz4CtA/Bw8qBFmRZZGVMIIYQQGUlR1GFN69bB2rXqEJJEOh3UrAmNG6vFRJUq0mVHI1JYpEJiZ6hz59S/3zJ8P2tdfHCRDec3ADCs5rBX7ju2zlhuht9k4YmFdFzbkV3ddlHLyzxWrRRCCCHE/129CitWqLfnh4xYWcG770Lr1tCihcyTMBFSWKRCqVJqARwWpnYr8/DQOlHOMuPvGSgoNCnZhLL5y75yX51Ox7ym87gTcYctF7fQ7OdmHOh1gDL5ymRRWiGEEEKkycOHsHo1LF8O+/c/u9/WFho2VIuJZs1kroQJkutEqWBrq66DAjIcKqs9iHrAkpNLAPi45scpeoyVhRVBbYOoUbAGD58+pOHyhtx5ciczYwohhBAiLeLj4ddfoWVL9erDhx+qRYVOB/Xrw5IlcPcubNgA3bpJUWGipLBIpeeHQ4msM+/oPJ7GP+UNjzeo6103xY9ztHFkc6fNlMhTgmth12i8sjHhMeGZF1QIIYQQKXftGowdC97e0Lw5bNwIcXHqPIlp0+DGDdi5E3r0AA2XHBApI4VFKklnqKwXHR/NrMOzAPVqRWrXpsjvmJ/tAdsp4FiAkyEnafNLG2ITYjMjqhBCCCFeJy5OnYTdsKG64vDEiXDrltq96eOP1UnaJ06o2wULap1WpIIUFqkknaGy3opTK7gbeRcvFy/alWuXpmMUz1OcLZ234GjtyM4rO+m1sRd6RZ/BSYUQQgjxUqGhMGECFC4MbdrAjh1qN5z69WHVKnU9imnToEIFrZOKNJLJ26kkQ6GylqIozDw0E4AhvkOwtrRO87GqeVZjTfs1NF3ZlBWnV1DIpRBT/KZkVFQhhBBCJOf4cZg5Uy0eYv8/YsDNDXr2hA8+gOLFtc0nMoxcsUilMv9vKhQaCo8eaZslJzgVeorTd09jY2lDr6q90n28hiUasrD5QgC+OvAVsw7NSvcxhRBCCPGC+Hh1vYl33gEfH/jxR7Wo8PWFlSvh+nUIDJSiIpuRwiKVnJ2hUCF1W65aZL4Vp1cA0LRUU3LbZ0wHiB5VejCp3iQAhmwfwtqzazPkuEIIIUSO9/QpzJ0LJUtC27awb5+65kSnTvD33+qtUyewsdE6qcgEUlikQeJwKJlnkbn0ip6fz/wMQEDFgAw99qi3R9GvWj8UFALWBbDv2r4MPb4QQgiRo4SFqVcgvL1hwAB1Ybt8+eDzz9XtlSvVqxUiW5PCIg2kM1TW+PPan9wMv0kuu1w0Ltk4Q4+t0+mY1WgWLcu0JCYhhuarmnP2nlSKQgghRKqEhsLIkeqE7FGj1LUmCheGWbPUVrKTJklnpxxECos0kMIiayw/tRyAtmXbYmdll+HHt7SwZGXrldTyqsXj6Mc0XN6QW+G3Mvw8QgghRLZz5w4MHgxFisCUKRAerg7p+PFHuHQJBg4EBwetU4osJoVFGshQqMwXHR/NmrNrAAiolLHDoJ5nb23Ppo6bKJ23NDfCb9BoRSPCosMy7XxCCCGEWbt7V11folgx9apETIw6xGnDBnX9ia5dwTrtHRyFeZPCIg0Sr1hcuwaRkdpmya62XtxKWEwYhVwK8U6RdzL1XHkd8rK9y3bcndw5ffc0rYJaERMfk6nnFEIIIczK/fvw2WfqgnbTp0N0NNSqBb//DgcPQosWYCFvK3M6+RuQBvnyqTeACxe0zZJdJQ6D6lyhMxa6zP9r6p3Lm20B23C2cWb31d302NhDFtATQgghHj+GMWPUguKrryAqCmrUgO3bYf9+8PMDnU7rlMJESGGRRjIcKvM8evqILRe3AJk7DOpFVdyrsK7DOqwsrFh1ZhXDfx+eZecWQgghTEpMDMyYoa4zMWkSRETAG2/A5s1qy1h/fykoRBJSWKSRTODOPGvPrSU2IZYKBSpQya1Slp7br5gfS1osAeCbg9/w7cFvs/T8QgghhKb0eggKUt/oDB0KDx+qn6auWwdHj0KTJlJQiJeSwiKNpLDIPImL4mX02hUp1aVSF77y+wqAYb8NI+hMkCY5hBBCiCy1Zw+8+SZ07AjBweDhAQsWwD//QKtWUlCI15LCIo1kKFTmuBF2gz1X9wDQqUInzXJ8WutTBtcYDEC3Dd0MmYQQQohs58IFaNYM6tWDI0fAyQkmToSLF+GDD9SVs4VIASks0ijxisWlSxAbq22W7CRxpe13irxDkVxFNMuh0+mY7j+dtuXaEpsQS8tVLTkdelqzPEIIIUSGCw+HTz+FihXVuRNWVuqq2Zcvw+jR4OiodUJhZqSwSKOCBcHZGRIS1OJCZAyth0E9z9LCkp9a/cTbhd8mLCaMhisacj3sutaxhBBCiPTR62HpUihVCqZNg7g4de7EmTMwezYUKKB1QmGmpLBII51O5llktNOhpzkVegprC2valmurdRwA7Kzs2NhxI+Xyl+P2k9s0WtGIR08faR1LCCGESJvDh6FmTejZE0JDoWRJ2LJFvWJRurTW6YSZk8IiHRILC5lnkTESr1Y0LtmYPPZ5NE7zTG773GwP2E5B54KcvXeWFqtaEB0frXUsIYQQIuXu34devdRVsg8fVudRfP21epWicWOt04lsQgqLdJArFhlHr+hZeXoloHZlMjVerl5sC9iGi60L+67vo8u6LiToE7SOJYQQQryaosCSJVCmjPonQPfu8N9/6vwKGxtt84lsRQqLdEjsDCWFRfrtv76fG+E3cLF1oWmpplrHSVZFt4ps6LABG0sb1p5by9AdQ1EURetYQgghRPLOnYO6ddUrFQ8eQKVK8Ndf6vwKDw+t04lsSAqLdEi8YnH+vDqJW6Td8lPLAWhTtg12VnYap3m5ekXr8WPLHwGYdXgW0/6apnEiIYQQ4gVPn8KYMVC5Mvz5Jzg4wNSp6gJ3NWtqnU5kY1JYpEPRomBrC9HRcO2a1mnMV0x8DKvPrgZMoxvU63So0IHp700HYPjO4aw4tULjREIIIcT/7dqlto+dNOlZt6ezZ+GTT8DaWut0IpuTwiIdLC2fNVCQ4VBpt+3SNh5HP8bT2ZO63nW1jpMiQ2sOZdibwwDoubEnO6/s1DiREEKIHC0sDPr0AT8/dR0KT09YswZ+/RWKaLculMhZ0lRYzJkzB29vb+zs7PD19eXw4cOv3H/GjBmULl0ae3t7vLy8GDp0KNHR2aOrjnSGSr/EblCdKnTC0sJS4zQpN/W9qXQo34E4fRytg1pzMuSk1pGEEELkRNu3Q4UKsGCB+vWAAeonnm3aqP3xhcgiqS4sgoKCGDZsGOPGjeP48eNUrlwZf39/7t69m+z+K1eu5LPPPmPcuHGcO3eORYsWERQUxKhRo9Id3hRIZ6j0CYsO49cLvwLmMQzqeRY6C5a1XEZd77o8iX1CoxWNuPr4qtaxhBBC5BSPHqnrUTRqBDdvQvHisGePusidi4vW6UQOlOrCYvr06fTu3ZuePXtSrlw55s+fj4ODA4sXL052/7/++ovatWvTuXNnvL29ee+99+jUqdNrr3KYC+kMlT5rz60lJiGGsvnKUsW9itZxUs3Wypb1HdZTsUBFQiJCaLi8IQ+iHmgdSwghRHb3669Qvrza4Umng6FD4dQpqFNH62QiB0tVYREbG8uxY8fw8/N7dgALC/z8/Dh48GCyj6lVqxbHjh0zFBJXrlxh69atNH7FYiwxMTGEh4cb3UzV80OhpPNo6iUOg+pSqQs6M71cm8suF9sCtuHl4sWFBxdo9nMznsY91TqWEEKI7CgsDHr0gObN4c4ddbLn/v0wfbra/UkIDaWqsLh//z4JCQm4ubkZ3e/m5kZISEiyj+ncuTNffPEFb731FtbW1hQvXpy6deu+cihUgG4uOgAAVgNJREFUYGAgrq6uhpuXl1dqYmapkiXBwgLCw+ElvwLxErfCb7E7eDcAnSt21jhN+hR0Kci2gG3kssvFwZsH6bS2kyygJ4QQImP9+afaQnbZMvXNx/DhcOIE1KqldTIhgCzoCrVnzx4mT57M3LlzOX78OOvWrWPLli1MnDjxpY8ZOXIkYWFhhtuNGzcyO2aa2dpCwYLqtrScTZ1VZ1ahoFDbqzbeuby1jpNu5QuUZ1PHTdha2rLxwkYGbRskC+gJIYRIv5gYGDFCXezu2jUoVkwtMr76CuzttU4nhEGqCot8+fJhaWlJaGio0f2hoaG4u7sn+5gxY8bQtWtXPvjgAypWrEirVq2YPHkygYGB6PX6ZB9ja2uLi4uL0c2UeXurf0phkTqJw6DMbdL2q7xd5G2Wt16ODh3zjs4jcH+g1pGEEEKYs3//BV9f+Pprdcz1++/DyZNQu7bWyYRIIlWFhY2NDT4+Puzatctwn16vZ9euXdR8yUqOUVFRWFgYn8bSUm0pml0+zU1sD331qqYxzMrZe2c5EXICKwsr2pdvr3WcDNW2XFtmNpwJwOd/fM7Sk0u1DSSEEML86PUwYwb4+MA//0C+fLB+PSxcCM7OWqcTIllWqX3AsGHD6N69O9WqVaNGjRrMmDGDyMhIevbsCUC3bt0oWLAggYHqJ7XNmjVj+vTpVK1aFV9fXy5dusSYMWNo1qyZocAwd4mFhVyxSLnE1aoblWhEXoe8GqfJeIN8B3Ez/CZf//U1H2z6AHcndxqWaKh1LCGEEObg7l3o3l1dnwLU1bMXLYIX5rgKYWpSXVh06NCBe/fuMXbsWEJCQqhSpQrbt283TOi+fv260RWK0aNHo9PpGD16NLdu3SJ//vw0a9aML7/8MuN+Co1JYZE6iqKw8sxKIHsNg3pRoF8gtyNus/zUctr+0pa9Pfbi4+mjdSwhhBCmbNcu6NJF7Qhjb692e+rbVxa6E2ZBp5jBeKTw8HBcXV0JCwszyfkWv/0G/v5qO+kzZ7ROY/oOXD/AW0vewsnGidBPQnGwzr7t8WITYmmysgk7r+ykgGMBDr5/kGK5i2kdSwghhKmJj4fx42HyZHUuRfnyEBSk/imEhlLzPjzTu0LlBM9fsTD9Mk17y08tB6BN2TbZuqgAsLG0YW37tVRxr8LdyLs0XN6Qe5H3tI4lhBDClFy/rnZ8+vJL9Y1Enz5w+LAUFcLsSGGRAQoXVv+MiIBHj7TNYupiE2L55ewvQPYeBvU8F1sXtnbeShHXIlx8eJGmPzclMjZS61hCCCFMwYYNUKUKHDgALi6wahV8/70sdifMkhQWGcDeHgoUULdlnsWr7bi0g4dPH+Lu5M67Rd/VOk6W8XD2YEeXHeSxz8PhW4fpuLYj8fp4rWMJIYTQSlwcfPIJtGqlfipZvbq62F2HDlonEyLNpLDIIDKBO2US167oWL4jlhbZoytYSpXOV5rNnTZjZ2XH5v82039L/2zTclkIIUQq3LkD9evDN9+oX3/8Mezfry58J4QZk8IigyQukidrWbxceEw4Gy9sBKBLpS4ap9FGTa+arGqzCgudBQuOL2Diny9fgV4IIUQ2tHcvVK0K+/ap61GsXQvTpoGNjdbJhEg3KSwyiFyxeL3159YTHR9N6bylecPjDa3jaKZFmRbMbTwXgHF7xrHo+CKNEwkhhMh0igJTp6pXKkJDoUIFOHoUWrfWOpkQGUYKiwwihcXrJQ6DCqgYgC6H9+PuW60vo98erW5v7suW/7ZonEgIIUSmCQuDNm1g+HBISFDXqfj7byhVSutkQmQoKSwyiBQWrxYSEcKu4F0AdK7YWeM0puGLel/Qo0oPEpQE2q9pz6Gbh7SOJIQQIqOdOwc1asD69epwp3nz4McfwdFR62RCZDgpLDKIFBavturMKvSKnpqFalI8T3Gt45gEnU7HD01/oGGJhkTFRdH056ZcfHBR61hCCCEyyubN4OsL//0HXl7qvIoPP5RVtEW2JYVFBkksLB48gEhZoiCJxEXxcsraFSllbWnN6nar8fHw4X7UfRquaEhoRKjWsYQQQqSHoqgraDdvDk+ewNtvq/MpatTQOpkQmUoKiwzi6qreQK5avOjC/Qscu3MMS50l7cu31zqOyXGycWJL5y0Uy12MK4+u0GRlEyJiI7SOJYQQIi0iI9W1KD7/XC0w+vWDnTufLXglRDYmhUUGkuFQyUuctO1fwp/8jvk1TmOa3Jzc2B6wnXwO+Th25xjtVrcjLiFO61hCCCFS4+pVqF0bVq8Ga2t1Be25c6WVrMgxpLDIQFJYJKUoilE3KPFyJfOWZEvnLThYO7D90nb6bO4jC+gJIYS52LsXqlWDf/5Rr0788Qf06aN1KiGylBQWGSixsJBF8p75++bfXHl0BUdrR1qUbqF1HJNXo2ANfmn7C5Y6S5aeXMqY3WO0jiSEEOJ1liwBPz91oqWPjzqf4q23tE4lRJaTwiIDJa6+LVcsnkm8WtGqbCscbaS1Xko0KdWE+U3nA/Dlvi+Zd2SexomEEEIkS6+Hzz6DXr0gPl6dW7Fvn9oBSogcSAqLDCRDoYzFJcQR9G8QIMOgUuuDNz5gfJ3xAAzcNpAN5zdomkcIIcQLoqKgXTv46iv16zFjYOVKsLfXNpcQGpLCIgNJYWHs9yu/cz/qPgUcC+BXzE/rOGZnbJ2xfFD1A/SKnk5rO/HXjb+0jiSEEALg9m145x1Yt06dmP3TT/DFF2Ahb6tEziavgAyUWFjcuQOxsdpmMQWJa1d0KN8BKwsrjdOYH51Ox7ym82hSsgnR8dE0+7kZ5++f1zqWEELkbCdPqoveHTsGefPCrl3QpYvWqYQwCVJYZKD8+dUroIoCN25onUZbEbERbLywEYAuleQf3LSysrAiqG0QNQrW4OHThzRc3pA7T+5oHUsIIXKmrVvVSdk3b0KZMnDokEzSFuI5UlhkIJ0OChdWt3P6cKgN5zcQFRdFiTwlqO5ZXes4Zs3RxpHNnTZTIk8JroVdo/HKxoTHhGsdSwghcpaFC9WVtCMjoX59+OsvKF5c61RCmBQpLDKYzLNQPb92hU6n0ziN+cvvmJ/tAdsp4FiAkyEnafNLG2ITZLydEEJkOkWBceOgd29ISIDu3WHbNsidW+tkQpgcGfiewWQtCwiNCOW3y78B0g0qIxXPU5wtnbdQd2lddl7ZSa+Nvfix1Y9Y6OTzASGEyBRxcfDhh7B4sfr16NHqJG35wCwJRVGIj48nISFB6ygilSwtLbGyssqQD4KlsMhgcsUCgv4NQq/oqe5ZnZJ5S2odJ1up5lmNNe3X0OznZqw4vYJCLoWY4jdF61hCCJH9RESo7WS3b1e7Pc2dC337ap3KJMXGxnLnzh2ioqK0jiLSyMHBAQ8PD2xsbNJ1HCksMpgUFs+GQcmk7czRsERDFjZbSI+NPfjqwFcUdC7IIN9BWscSQojsIzQUmjRROz/Z20NQEDRrpnUqk6TX6wkODsbS0hJPT09sbGxkCLQZURSF2NhY7t27R3BwMCVLlsQiHW2TpbDIYDl99e2LDy5y+NZhLHWWdCjfQes42Vb3Kt259eQWn//xOUO2D8HT2ZM25dpoHUsIIczfpUvw3nsQHAz58sGWLVCjhtapTFZsbCx6vR4vLy8cHBy0jiPSwN7eHmtra65du0ZsbCx2dnZpPpYMzs5giVcsbtxQ53jlNIlXK/yK+eHm5KZxmuxt5Fsj6VetHwoKAesC2Hdtn9aRhBDCvJ08CbVrq0VF8eJw8KAUFSmUnk+5hfYy6vmTvwUZzNMTrKwgPl5dKC8nURTFqBuUyFw6nY5ZjWbRskxLYhJiaL6qOWfvndU6lhBCmKd9+6BOHbh7F6pUgQMHoEQJrVMJYVaksMhglpZQqJC6ndOGQx25fYRLDy/hYO1Aq7KttI6TI1haWLKy9UpqedXicfRjGi5vyK3wW1rHEkII87J5szr8KTwc3n4b9uwBN7nqLkxP+fLluXfvHmFhYZQsWZInT55oHcmIFBaZIKdO4F5xSr1a0aJ0C5xsnDROk3PYW9uzqeMmSuctzY3wGzRa0Yiw6DCtYwkhhHlYvhxatoToaGjaFHbsAFdXrVOJLNCjRw9atmyZ5P49e/ag0+l4/Phxlmd6ne7du+Pp6UmePHlo3Lgxzs7OWkcyIoVFJsiJhUW8Pp5V/64CZBiUFvI65GV7l+24O7lz+u5pWgW1IiY+RutYQghh2r77Drp2VSdFdukC69apXaCEMFHDhw/nwYMH3Lt3j5kzZ2odJ4k0FRZz5szB29sbOzs7fH19OXz48Cv3f/z4MQMGDMDDwwNbW1tKlSrF1q1b0xTYHOTERfJ2XtnJ3ci75HPIx3vF39M6To7kncubbQHbcLZxZvfV3fTY2AO9otc6lhBCmJ7E1bSHDFG/HjIEli0Da2ttcwmTs3TpUnLlymV03zvvvINOp+PkyZMA/Pnnn5QtWxYHBwdcXV3x9/fn4sWLhv29vb2ZMWOG4evRo0dTqFAhrv7/jWJKzvH8VRQXFxfy5MlD165d0el0bNiwIWN/6HRIdbvZoKAghg0bxvz58/H19WXGjBn4+/tz4cIFChQokGT/2NhYGjRoQIECBVizZg0FCxbk2rVrSX6B2UlOvGKROGm7Q/kOWFvKP8xaqeJehXUd1tFoRSNWnVlFQeeCTHtvmtaxhBDCdCgKfPIJTJ+ufv3FF+qK2rL2QoZQFNBqnTwHh8x/GtetW8eJEyeM7itYsCCzZ8+mWLFiREREMHz4cPr27csff/yR5PHffPMN33//PX/++SfeiWsUpOAcLzp27BibNm1K88+RWVJ9xWL69On07t2bnj17Uq5cOebPn4+DgwOLE5e7f8HixYt5+PAhGzZsoHbt2nh7e1OnTh0qV66c7vCmKqcVFpGxkaw/tx6QYVCmwK+YH0taLAHgm4Pf8O3BbzVOJIQQJkKvhwEDnhUVs2bBmDFSVGSgqChwctLmlpaCZvPmzTg5ORndGjVqlOy+cXFxjBgxghEjRhjdX7x4cerXr0/RokUpWbIkHh4eJCSz5sDChQv54osv2L59O2XLlk3VOV40bNgwPv300xT+lFknVYVFbGwsx44dw8/P79kBLCzw8/Pj4MGDyT5m06ZN1KxZkwEDBuDm5kaFChWYPHlysr/wRDExMYSHhxvdzMnzi+QpiqZRssSmC5uIjIukWO5ivFnoTa3jCNRVz7/y+wqAYb8NY9WZVRonEkIIjSUkwPvvw7x5aiGxcCEMHKh1KqGxevXqcfLkSaPbwoULk913zpw5uLq6EhCQ9EPU69ev4+TkhKOjI4cPH2bp0qVG39+4cSN9+/bF09OTChUqvDTPq86RaMOGDVy5coWPP/44ZT9kFkpVYXH//n0SEhJwe6EFm5ubGyEhIck+5sqVK6xZs4aEhAS2bt3KmDFj+Oabb5g0adJLzxMYGIirq6vh5uXllZqYmkuM+/Qp3L+vbZaskDgMqnOFzujkUx+T8WmtTxlcYzAA3Td0Z3fwbo0TCSGERuLiICAAli5V+8IvX64WGSLDOThARIQ2t7Qs/O3o6EiJEiWMbgULFkyy36NHj5g4cSLTp09P9r2Op6cnJ0+eZO/eveTOnZspU6YYff/AgQMEBQWh0+kYP358slledw5Qr2gMHz6cL7/8EnsTbDSQ6V2h9Ho9BQoU4IcffsDHx4cOHTrw+eefM3/+/Jc+ZuTIkYSFhRluN27cyOyYGcrWFjw81O3sPhzqXuQ9tl/aDkBAJRkGZUp0Oh3T/afTtlxbYhNiaRnUktOhp7WOJYQQWSsmBtq1g6AgdXJ2UBB07qx1qmxLpwNHR21umfnZ5sSJE3n77bd55513kv2+lZUVJUqU4K233uKTTz5hxYoVRt//7LPPaNu2LUuXLuXbb7/lyJEjqT4HwLx583BycqJr167p+4EySaomb+fLlw9LS0tCQ0ON7g8NDcXd3T3Zx3h4eGBtbY2lpaXhvrJlyxISEkJsbCw2NjZJHmNra4utrW1qopmcIkXUlbevXYNq1bROk3l++fcXEpQEfDx8KJOvjNZxxAssLSz5qdVPhEaEsu/6PhquaMjB9w9S2LWw1tGEECLzRUVB69bq2hS2tmo72caNtU4lzExUVBQ//PADx48fT/b7mzdvJnfu3Hh5eXHz5k2+/vprqlatarRPnjx5AKhRowYfffQRPXv25Pjx44b3wa87R6Kvv/6aX3/91WRHiKTqioWNjQ0+Pj7s2rXLcJ9er2fXrl3UrFkz2cfUrl2bS5cuodc/a3v533//4eHhkWxRkV3klAncicOgZNK26bKzsmNjx42Uy1+O209u02hFIx49faR1LCGEyFxRUdCsmVpUODjwv/buOzyqMu3j+HfSIZWAKWCkSJMaBMmCILBECU1QlIAgiLC7uiIqYmEtyKIvqFiBRQUFlBKalKUEJBBABFEgAtJLpIYOaYSE5Lx/nE000tLPTPL7XNe5MnPmmXPueXIymXuextKlSiqkQDIyMhgwYAC1a9e+7uPHjh2jf//+1KpVi4ceeogqVapc02LxRyNHjiQrKytXl6hbnSNbu3btaNeuXYFeR0mwGUb+hhfPnj2b/v378/nnn9O8eXM+/vhj5syZw549ewgMDKRfv35UqVKF0aNHA3D06FHq169P//79efbZZ9m/fz9PPvkkQ4YM4bXXXsvTORMTE/H19eXSpUv4+Pjk/1Va4JVX4L334NlnzfV3SqNDFw5x56d34mRz4tgLxwj2DrY6JLmJo5eO0uLLFhxPOk7rO1qz8vGVeLh4WB2WiEjRS001V9Feswa8vWHZMmjVyuqoSqW0tDQOHz5M9erV8fDQ/xRHdbPfY34+h+d7HYvIyEjOnDnDm2++SUJCAqGhoURHR+cM6D5y5AhOTr83hISEhLBixQpeeOEFGjVqRJUqVXjuueduOY2WoysLLRYzd8wEoH319koqHECIbwjL+yyn1ZRWrD+ynscXPE5UjyicnZxv/WQREUfx56RixQq4Qa8KESla+U4sAAYPHszgG0zRFhsbe82+Fi1asGnTpoKcymGV9sTCMAymb58OqBuUI2kY2JCFkQuJmBHBvF3zeMHrBT6J+MRu+2qKiOSLkgoRSxX7rFBlVWlPLLae3Mrec3vxcPHgobsesjocyYd21dvxdfevARi3eRxjf9DK3CJSCiipELGcEotikp1YXLwIDra+X55kD9p+sM6D+Lg7xrgX+V1kg0g+fMBcefblVS8zY/uNB5mJiNg9JRUidkGJRTHx9ob/zSxW6lotMrMyc1Zy7tuwr8XRSEG90OIFhv5lKAADFg1g1aFVFkckIlIASipE7IYSi2JUWrtDrYlfw8nkk/iX86dDzQ5WhyOF8P4D7xNZP5KMrAwenv0wcQlxVockIpJ3ly/Dgw8qqRCxE0osilFpTSyyB233rNcTN+fSuxZJWeBkc2Ja92m0rdaWpPQkOs7oSPzFeKvDEhG5tfR0eOQRiIkBLy8lFSJ2QIlFMSqNicXljMt8u/tbAPo00mxQpYG7izsLIhfQMKAhCckJREyP4FzqOavDEhG5sYwM6NXLXJ+iXDlz8TslFSKWU2JRjLITi/h4S8MoUv/d91+S0pOo6luVliEtrQ5Hioifhx/L+ywnxCeEvef20nVWVy5nXLY6LBGRa2VmQr9+sGABuLvD4sVw331WRyUiKLEoVqWxxSJ7Nqg+DfvgZNPlU5pU8anC8j7L8fPwY+OxjfSe35vMrEyrwxIR+V1WFgwaBFFR4OoK8+dDeLjVUYnYnXHjxjFq1CgAJkyYwLBhw0rkvPpkWIxKW2JxLvUcy/YvA9QNqrSqH1Cfxb0W4+7szqK9i3h2+bMYhmF1WCIiYBgweDBMnQrOzjBrFnTubHVU4uASEhJ49tlnqVGjBu7u7oSEhNC1a1diYmKsDq1QevbsybRp03B1deXtt99m4MCBJXLeAq28LXmTnVicOgVpaeDhYW08hTV311yuZl0lNCiUerfVszocKSatq7Zm+sPT6Tm3JxN/nkgV7yq8dt9rVoclImWZYcCLL8LEiWCzwddfQ48eVkclDi4+Pp57770XPz8/3n//fRo2bEhGRgYrVqzgmWeeYc+ePVaHWGCBgYHs27ePhIQEAgICcHEpmY/8arEoRhUrQvny5u0jR6yNpSj8sRuUlG6P1HuETyI+AeD1Na8zNW6qtQGJSNk2YgR89JF5e/JkeOwxa+ORUuGf//wnNpuNzZs306NHD2rXrk39+vUZOnQomzZtAsBmszFx4kQ6duxIuXLlqFGjBvPmzct1nKNHj9KzZ0/8/Pzw9/enW7duxP9pgG18fDw2m+2a7eLFizllbDYbCxcuzPW8tm3b8vzzz+fcr1atGh9//HHO/ZiYGGw2G927d7/mOU5OTlSuXJmDBw/i6upKaGhoIWorb5RYFCObDapVM287eneo+IvxfH/ke2zY6N2gt9XhSAl4NuxZXm75MgCDFg8i+kC0xRGJSJn0wQfwv77ijBsHTz5pbTxyU4ZhkJKeYsmWn66758+fJzo6mmeeeQZPT89rHvfz88u5/cYbb9CjRw9++eUX+vTpQ69evdi9ezcAGRkZdOjQAW9vb9avX8+GDRvw8vIiIiKC9PT0a467atUqTp48yfz58/NfuX+SlZXFiy++iJeX103LvfTSS3iUULcZdYUqZlWrwq5djp9YzNwxE4B21dtRxaeKxdFISRkdPprjSceZsWMGj8x5hLVPrKVp5aZWhyUiZcXkyZA96PSdd8wxFmLXUjNS8Rp98w+6xSV5eDKebtcmCddz4MABDMOgbt26tyz76KOPMmjQIABGjRrFd999x7hx4/jPf/7D7NmzycrKYvLkydhsNgCmTJmCn58fsbGxPPDAAwBcuXIFgKCgIIKCgvD39y/IS8xl2rRpXLlyhW7dupGcnHzdMmvWrOGHH35g0KBBrFmzptDnvBW1WBSz0jCA2zAMdYMqo5xsTnzV7SvaV29PSkYKnWZ24tCFQ1aHJSJlwezZ8Pe/m7dffhmGD7c2HilV8tO60eJPa6S0aNEip8Xil19+4cCBA3h7e+Pl5YWXlxf+/v6kpaVx8ODBnOecO2euD+Xj43PTc/Xu3TvnOF5eXqxfv/665VJTU3n99dd57733bjh+wjAMXnzxRUaMGIGvr2+eX29hqMWimJWGxOKXU7+w68wu3J3d6XGXBsuVNW7Obnwb+S1tprYhLiGOiOkRbHhyA7d53mZ1aCJSWi1bBn37moO2//EPGDPG7F8sdq+8a3mSh1//2/OSOHde1apVC5vNVugB2snJyTRt2pQZM2Zc89htt/3+f/LQoUO4ublRuXLlmx7vo48+IvwPUyj36XP9L3Tff/996tSpQ9euXW/Yrerrr78mJSWFp556infeeScvL6fQlFgUs9KwSN6M7eYfS5faXfD1KJmMV+yLj7sPyx5bRosvW7D//H66zOrC6n6r89zkLCKSZ+vWmTM+Xb0KvXvDhAlKKhyIzWZziP8N/v7+dOjQgQkTJjBkyJBrxllcvHgxZ5zFpk2b6NevX85jmzZtokmTJgDcfffdzJ49m4CAgJu2Rqxdu5aWLVvi7Ox807iCgoKoWbNmzv1y5cpdU+bkyZNMnDiRtWvX3vA4qampvPbaa4wfPx5XV9ebnrMoqStUMXP0FovMrExm7jTHV6gbVNkW7B1MdN9o/Mv5s/n4ZnrN78XVrKtWhyUipcnPP0OXLuYc7V26wLRp5poVIsVgwoQJZGZm0rx5c+bPn8/+/fvZvXs3n376aa7uT3PnzuWrr75i3759jBgxgs2bNzP4f+N9+vTpQ6VKlejWrRvr16/n8OHDxMbGMmTIEI4dO0ZmZibr1q1j5syZPPzwwyQkJJCQkMD58+cBOH36dIHifuihh3KSm+uZOXMmd955Z67ZokqCEotilp1YHD9ufvniaNb+tpYTSSfw8/CjU61OVocjFqtbqS7/7f1fPFw8WLJvCU8veVoL6IlI0di5EyIiICkJ2raFOXPM1bVFikmNGjXYunUr7dq148UXX6RBgwbcf//9xMTEMHHixJxyI0eOJCoqikaNGvH1118za9Ys6tUz1/MqX74869at44477uDhhx/mrrvuYuDAgaSlpeHj48PRo0dp06YNqampDBkyhODgYIKDg+nxv3VY6tSpk++4s7Kybtm1KTU1lQ8++CDfxy4sm+EAnwoSExPx9fXl0qVLtxz0Ym+yssyF8TIyzO5Q2YmGoxi4aCBfxX3F3+7+G190/cLqcMROLNqziIfnPEyWkcXItiN5s82bVockIo5s3z647z5zRdl77oGYGPD2tjoqyYO0tDQOHz5M9erVS2xK05Jks9lYsGBBgb/5j4+Pp23bttesa5HNz88v11oWVrnZ7zE/n8PVYlHMnJwgJMS87WjdodKupjFvt7kIjLpByR91q9uNCZ0mADAidgSTt062OCIRcViHDsFf/2omFY0bQ3S0kgopNZydnXMN4v6zwMDAEoym+CmxKAGOukjekn1LSLySSIhPCK2rtrY6HLEzTzV7itdav2beXvIUS/YtsTgiEXE4R46YScXx41CvHnz3HRTB/P4i9iIkJISffvrpho/v3bu3BKMpfkosSoCjDuDOXruid4PeONl0qci1RrUbxROhT5BpZNJzbk9+PPaj1SGJiKM4ccJMKn77DWrVMrs/3eSbXRErGIZR4gOgHZk+LZYAR0wsLly+wLL9ywDo00jdoOT6bDYbX3T5goiaEVy+epkus7qw/9x+q8MSEXt3+jS0bw8HD0L16rB6NQQFWR2ViBSSEosS4IiJxbxd80jPTKdhQEMaBTayOhyxY67Orsx9dC5Ng5tyNvUsETMiOJV8yuqwRMRenTsH4eGwZw/cfruZVNx+u9VRiUgRUGJRAhwxscjuBqVB25IXXm5eLH1sKTUq1ODQhUN0ntmZ5HRrVl4VETt24QI88ADs2GG2UKxe/ftARBFxeEosSkB2YnHkCNj/5L5w5NIR1v5mrubYu2Fvi6MRRxHoFUh0n2gqla/ElpNbeGTOI2RkZlgdlojYi/PnzZaKrVvNsRQxMebYChEpNZRYlIDbbwebzVxI9JQD9BCZtWMWAPdVvY87fO+wOBpxJLUq1mLpY0sp71qeFQdX8Pclf9cCeiJiJhX33/97UrF6tTkLlIiUKkosSoCbG1SubN52hO5Q2d2g+jbsa3Ek4oiaV2nOnEfm4GxzZmrcVN5co8XzRMq0P7dUrF4NDRpYHZWIFAMlFiXEUcZZ7Di1gx2nd+Dm7MYj9R6xOhxxUJ1rd+azLp8B8Pb6t/ns588sjkhELJGdVGzbBgEBsGaNkgqRYpaYmEhoaCjJyckcO3aMmjVrlti5lViUEEdZJC+7taJTrU5UKFfB4mjEkQ26exBvtXkLgGeWPcOiPYusDUhESta5c+aUsn9MKurXtzoqkRxPPPEENpstZ6tYsSIRERFs377d6tAKxcfHh1atWuHn50e1atV4+umnS+zcBUosJkyYQLVq1fDw8CAsLIzNmzfn6XlRUVHYbLYyudCII7RYZBlZzNwxE9BsUFI03mzzJoOaDCLLyKLX/F5sPLrR6pBEpCRkTykbF/d7UqExFWKHIiIiOHnyJCdPniQmJgYXFxe6dOlidViFNn78eE6fPs358+d58cUXS+y8+U4sZs+ezdChQxkxYgRbt26lcePGdOjQgdOnT9/0efHx8QwbNozWrVsXOFhH5giJxfrf1nM08Sg+7j50qe34f1RiPZvNxsQuE+lcqzNpV9PoMqsLe8/utTosESlOp0+bK2rHxUFgoJIKsWvu7u4EBQURFBREaGgor776KkePHuXMmTPEx8djs9mIi4u77nP9/PyYOnVqzv1jx47Ru3dv/P398fT0pFmzZvz44485j0+cOJE777wTNzc36tSpwzfffJPreDabjYULFwLmit/9+vWjUaNGXLhwAYC33nqL0NDQnPLp6enUrFkTm83GxYsXAZg6dSp+fn4A+Pv74+Pjw3333XfT11GU8p1YfPjhh/ztb39jwIAB1KtXj88++4zy5cvz1Vdf3fA5mZmZ9OnTh5EjR1KjRo1CBeyoHCGxyO4G9chdj+Dh4mFxNFJauDi5MPuR2TSv0pzzl8/TYXoHTiadtDosESkOx4/DfffB9u2/r1OhpKJsMQxISbFmK+QshMnJyUyfPp2aNWtSsWLFfD+3TZs2HD9+nMWLF/PLL7/w8ssvk5WVBcCCBQt47rnnePHFF9m5cyf/+Mc/GDBgAGvWrLnu8YYMGcIPP/zAypUrqVDh+l3Tx48fz6lbTDf67bffsm3btny9lsJwyU/h9PR0tmzZwvDhw3P2OTk5ER4ezsaNN+7i8O9//5uAgAAGDhzI+vXrCx6tA7P3xOLK1SvM3TUXgD6N1A1KipanmydLei+h5VctOXD+AJ1mdmLtE2vxcfexOjQRKSrx8eaYikOHICRE61SUVamp4OVlzbmTk8HTM19PWbJkCV7/izclJYXg4GCWLFmCk1P+vnufOXMmZ86c4aeffsLf3x8g16DpsWPH8sQTT/DPf/4TgKFDh7Jp0ybGjh1Lu3btch3r9ddfZ8GCBXz//fcEBQVd93znz5/n7bff5pVXXuGNN964bpmMjAxeeeWVm5YpavmqtbNnz5KZmUlgYGCu/YGBgSQkJFz3Od9//z1ffvklkyZNyvN5rly5QmJiYq7N0d3xv+UgEhPhf61VdmX5geVcTLtIFe8qtKnaxupwpBS6zfM2VvRdQYBnAHEJcfSY04P0zHSrwxKRorBvH7RubSYVNWrA+vVKKsQhtGvXjri4OOLi4ti8eTMdOnSgY8eO/PaHb4JbtmyJt7c3ISEhREZGcuzYsWuOExcXR5MmTXKSij/bvXs39957b6599957L7t37861b/z48bzzzjvUqVOHajdZlf7f//437dq1o1WrVjcsM2HCBHx9fenTp+S+MC7WWaGSkpJ4/PHHmTRpEpUqVcrz80aPHo2vr2/OFhISUoxRlgxPT8iuAntstZi+fToAvRv0xtnJ2eJopLSqUaEGSx9biqerJ6sOreLJRU+SZWRZHZaIFMbOnWb3p2PHoG5dWLfu92Z6KXvKlzdbDqzYypfPd7ienp7UrFmTmjVrcs899zB58mRSUlJyfSE+e/Zstm3bxqxZs9i/fz9PPfXUNccpV65coaot2+bNm1m2bBk7d+7k888/v26Z/fv3M3nyZN59990bHufChQuMGjWKDz/8EJvNViSx5UW+EotKlSrh7Ox8TX+uU6dOXbep5uDBg8THx9O1a1dcXFxwcXHh66+/ZvHixbi4uHDw4MHrnmf48OFcunQpZzt69Gh+wrRb2e+z8fGWhnGNS2mXWLJvCaBuUFL8mlVuxrye83BxcmHGjhn8K+ZfVockIgW1dSu0bQunTkHjxrB2LVSpYnVUYiWbzfw21YqtCD5A22w2nJycuHz5cs6+kJAQatasSatWrRg4cOB1B0E3atSIuLg4zp8/f93j3nXXXWzYsCHXvg0bNlDvT2OQPv74Yzp27Mh//vMfXnrpJY4cOXLNsV555RUGDRp00/UpRo0aRevWrbnvvvtu9nKLXL4SCzc3N5o2bUpMTEzOvqysLGJiYmjRosU15evWrcuOHTtympji4uJ48MEHc5qdbtQS4e7ujo+PT66tNLDXcRbzd8/nSuYV6t1Wj8aBja0OR8qAiJoRTO46GYB3N7zLuB/HWRyRiOTbDz+Ysz+dOwf33GMO1A4IsDoqkXy5cuUKCQkJJCQksHv3bp599lmSk5Pp2rVrTpn09HTS0tL47bffmDdvHg2us8hj7969CQoKonv37mzYsIFDhw4xf/78nDHIL730ElOnTmXixIns37+fDz/8kG+//ZZhw4blOk52V6oePXrQqVMnBg0alOvxAwcOEBsby5tvvnnD15SamsoXX3zBe++9V+B6Kah8d4UaOnQokyZNYtq0aezevZunn36alJQUBgwYAEC/fv1yBnd7eHjQoEGDXJufnx/e3t40aNAANze3on01ds5eE4vs2aD6Nuxbos1lUrb1D+3PO399B4Dnop9j/q75FkckInm2fLm5TsWlS+bYilWr4AZ9y0XsWXR0NMHBwQQHBxMWFsZPP/3E3Llzadu2bU6ZsLAwypUrR2hoKF5eXtftouTm5sbKlSsJCAigU6dONGzYkDFjxuDsbHYv7969O5988gljx46lfv36fP7550yZMiXXef5s/Pjx/PLLL3zxxRc5+1JSUnjttdduOJYDzEHbAwYMoHbt2vmvkEKyGUb+5+YaP34877//PgkJCYSGhvLpp58SFhYGQNu2balWrVqueX3/6IknnuDixYs58/TmRWJiIr6+vly6dMmhWy8+/RSeew569IB586yOxnQ88TghH4VgYBD/XDxV/dQvVkqOYRg8s+wZJv48EXdnd757/DtaVy2ba92IOIxZs6BfP7h6FTp2hLlz8z0Tj5QeaWlpHD58mOrVq+PhoanqHdXNfo/5+Ryer+lmsw0ePJjBgwdf97HY2NibPvdGCUdZYI8tFrN2zsLAoNUdrZRUSImz2WyM6ziOk8knWbhnIQ9GPcj3A76nfkB9q0MTkesZPx6GDDHXC3jsMZg6FVxdrY5KROxEsc4KJbnZY2KR3Q2qT0MN2hZrODs5M/PhmbQMacnFtIt0nNGR44nHrQ5LRP7IMGDkSHj2WfP24MHwzTdKKkQkFyUWJSg7sThzxlw/xmq7zuwiLiEOFycXHq33qNXhSBlWzrUci3stpk7FOhxNPErHGR25lHbJ6rBEBCAry2yleOst8/7IkWbf3nwuICYipZ/eFUqQnx94e5u3rzN7WImbsd1srehUqxMVy+dv6XqRolaxfEWi+0YT5BXEjtM7eGj2Q1y5esXqsETKtvR0ePxxswuUzWb+fPPNIpnWU0RKHyUWJchms5/uUFlGlrpBid2p5leN5X2W4+3mzZr4NTyx6AktoCdilcRE6NwZZs4EFxeYMQOeecbqqETEjimxKGH2klj8cPQHfrv0G95u3nSt3fXWTxApIaFBoXwb+S0uTi5E7Yzi5e9etjokkbLn+PHfp5H19IT//hd697Y6KrFjBZhkVOxIUf3+lFiUMHtJLLK7QT1818OUcy2aZehFikp4jXCmdJsCwAcbP+CjjR9ZHJFIGfLrr9CiBWzfDoGBsG4dRERYHZXYKdf/DeBPtYfBo1Jg2b8/10JOyFCg6Wal4LITi/h462JIz0xnzq45gLpBif3q26gvJ5JO8MqqVxi6ciiVvSsT2SDS6rBESre1a6F7d7h4EerUMRfCq17d6qjEjjk7O+Pn58fp06cBKF++vBbbdSCGYZCamsrp06fx8/PLWdCvoJRYlLBq1cyfVrZYRB+I5vzl8wR5BfHX6n+1LhCRW3ip5UscSzzGuM3j6LewHwGeAbSr3s7qsERKp9mzzYXv0tPh3nth0SKoqIk95NaCgoIAcpILcTx+fn45v8fCUGJRwuyhK1T2oO3eDXrj7FS4zFSkONlsNj7q8BEnkk4wf/d8us/uzvcDvqdhYEOrQxMpPQwDPvwQhg0z7z/8MEyfDuXUTVbyxmazERwcTEBAABkZGVaHI/nk6upa6JaKbEosSlh2YnHiBGRklPzaQolXElm8dzGgblDiGJydnJn+8HROf3Oa9UfWEzEjgo0DN3KH7x1Whybi+DIyzEXvPv/cvD9kiJlkFNGHDClbnJ2di+wDqjgmDd4uYQEB4O5urjd07FjJn3/B7gWkXU2jTsU63B18d8kHIFIAHi4eLOq1iHq31eNE0gk6zujIhcsXrA5LxLFdvAidOplJhc0GH3wAH3+spEJECkyJRQlzcoI7/vdFqxXdoabvmA6YrRUaXCWOpEK5CkT3iaaKdxV2ndlFt6hupF1NszosEcd08KA581P2dLKLFsHQoVr4TkQKRYmFBawaZ3Ey6SSrD68GoE8jdYMSxxPiG8LyPsvxcfdh/ZH1PL7gcTKzMq0OS8SxrF8PYWGwZw/cfjt8/z101XpGIlJ4SiwsYFViEbUziiwjixa3t6BGhRole3KRItIwsCELIxfi5uzGvF3zeGHFC1qYSSSvvv4a2reHc+egWTPYvBlCQ62OSkRKCSUWFrAqscieDUqDtsXRtavejq+7fw3AuM3jeP+H9y2OSMTOZWbCv/4F/fubA7YfecRcsyI42OrIRKQUUWJhASsSiz1n97Dl5Bacbc70rN+z5E4sUkwiG0Ty4QMfAvDKqleYvn26xRGJ2KlLl6BbNxg92rz/r3+Za1aUL29tXCJS6iixsIAVi+TN2G62VkTUjOA2z9tK7sQixeiFFi8w9C9DARiwaADfHfzO4ohE7MyePdC8OSxdCh4e5voU77xjziQiIlLE9M5igewWiyNHzGlni5thGMzcORNQNygpfd5/4H0i60dyNesqD895mG0nt1kdkoh9WLLEHKS9bx+EhJiDtPvof4CIFB8lFhaoUsWcJjw9HRISiv98m45t4tCFQ3i6evJgnQeL/4QiJcjJ5sS07tNoW60tyenJdJrZifiL8VaHJWIdwzBbJR58EBIToXVr+PlnaNrU6shEpJRTYmEBFxczuYCS6Q6V3ff8obsewtPNs/hPKFLC3F3cWRC5gIYBDUlITiBiegTnUs9ZHZZIyUtOhp494fXXzQTjn/8016oICLA6MhEpA5RYWKSkBnBnZGYwZ9ccQN2gpHTz8/BjeZ/lhPiEsPfcXrrO6srljMtWhyVScvbuhb/8BebNA1dXmDQJJkwANzerIxORMkKJhUVKKrFYeXAlZ1PPEuAZQHiN8OI9mYjFqvhUYXmf5fh5+LHx2EZ6z++tBfSkbJg711yX4tdfzSlkY2Nh0CCroxKRMkaJhUVKKrHIXruiV/1euDi5FO/JROxA/YD6LO61GHdndxbtXcSzy5/VAnpSeqWnw/PPm92fkpOhbVvYuhVatrQ6MhEpg5RYWCR7ytn4+OI7R9KVJBbuWQhAn0bqBiVlR+uqrZnx8Axs2Jj480RGfz/a6pBEit6xY2Yi8ckn5v1XX4XvvoOgIEvDEpGyS4mFRUoisVi4ZyGXr16mpn9N7ql8T/GdSMQO9ajXg087fgrAa6tfY2rcVGsDEilKq1bB3XfDxo3g6wuLFpkL4LmoZVpErKPEwiLVq5s/4+PNiTuKQ3Y3qL4N+2Kz2YrnJCJ2bHDzwbxy7ysADFo8iOgD0RZHJFJImZkwciR06ABnzkBoKGzZYk4tKyJiMSUWFgkJAZsNLl+G06eL/vinkk/x3SFzFWJ1g5Ky7P/a/x99G/Ul08jkkTmPsOXEFqtDEimYY8fgr3+Ft94yV1d98kn44Qe4806rIxMRAZRYWMbN7fe1LIqjO9TsX2eTZWTRvEpzavrXLPoTiDgIJ5sTXz74JeE1wknJSKHTzE4cunDI6rBE8mfxYmjcGNatAy8vmD4dvvwSypWzOjIRkRxKLCz0x+5QRS17UTytXSECbs5uzO85n9CgUE6nnKbD9A6cSTljdVgit3blCjz3HHTrBufPm6tnb9sGffTeLiL2R4mFhbIHcB8+XLTH3X9uPz+d+AlnmzOR9SOL9uAiDsrH3Ydljy2jqm9VDpw/QJdZXUhJT7E6LJEb27cPWrSAT81JCBg61Oz6VFOt0CJin5RYWKi4WiyyB23ff+f9BHoFFu3BRRxYsHcw0X2j8S/nz+bjm4mcF8nVrKtWhyWSm2GYq2bffbfZOlGpEixZAh98oFW0RcSuFSixmDBhAtWqVcPDw4OwsDA2b958w7KTJk2idevWVKhQgQoVKhAeHn7T8mVJcbRYGIaRk1ioG5TItepWqsuS3kvwcPFg6f6lPL3kaS2gJ/bj1Clzhqe//x1SUqBdO/jlF+jc2erIRERuKd+JxezZsxk6dCgjRoxg69atNG7cmA4dOnD6BlMbxcbG0rt3b9asWcPGjRsJCQnhgQce4Pjx44UO3tEVx1oWP534iQPnD1DetTzd63YvugOLlCItQloQ1SMKJ5sTk7dN5t9r/211SCKwcCE0aGC2Tri5wdix5noVlStbHZmISJ7YjHx+VRcWFsY999zD+PHjAcjKyiIkJIRnn32WV1999ZbPz8zMpEKFCowfP55+/frl6ZyJiYn4+vpy6dIlfHx88hOuXYuPN7tDubtDaio4FUHHtCHLhzBu8zgea/gYMx6eUfgDipRin//8OU8tfQqASV0nMejuQRZHJGVSYiI8/zxMmWLeb9TInPWpYUNLwxIRgfx9Ds/XR9n09HS2bNlCeHj47wdwciI8PJyNGzfm6RipqalkZGTg7+9/wzJXrlwhMTEx11Ya3X47ODubk34kJBT+eFezrjL719mAukGJ5MU/mv2D11u/DsBTS55iyb4lFkckZc769eY0slOmmIsbvfwybN6spEJEHFK+EouzZ8+SmZlJYGDuAcGBgYEk5PGT8SuvvELlypVzJSd/Nnr0aHx9fXO2kJCQ/ITpMFxczOQCiqY71KpDqzidcppK5Stxf437C39AkTLg3+3+zROhT5BpZNJzbk9+PPaj1SFJWZCSAkOGQJs25j+AatUgNhbefddsxhYRcUAlOivUmDFjiIqKYsGCBXh4eNyw3PDhw7l06VLOdvTo0RKMsmRlzwxVFAO4swdt96rfC1dn18IfUKQMsNlsfNHlCyJqRnD56mW6zOrC/nP7rQ5LSrPVq80WiXHjzBmgnnzSHKB9331WRyYiUij5SiwqVaqEs7Mzp06dyrX/1KlTBAUF3fS5Y8eOZcyYMaxcuZJGjRrdtKy7uzs+Pj65ttKqqAZwp6SnsGD3AgD6NFI3KJH8cHV2Ze6jc2ka3JSzqWeJmBHBqeRTt36iSH4kJsI//gHt25vfJt1xB6xYYa6gXYr/z4lI2ZGvxMLNzY2mTZsSExOTsy8rK4uYmBhatGhxw+e99957jBo1iujoaJo1a1bwaEuholrLYtHeRaRkpFCjQg3CqoQVOi6RssbLzYuljy2lRoUaHLpwiM4zO5Ocnmx1WFJaLF8O9evDF1+Y959+GnbuhAcesDYuEZEilO+uUEOHDmXSpElMmzaN3bt38/TTT5OSksKAAQMA6NevH8OHD88p/+677/LGG2/w1VdfUa1aNRISEkhISCA5Wf+woejWsvjj2hU2m61wBxMpowK9AonuE02l8pXYcnILj859lIzMDKvDEkd2+jT06wedOsGxY1CjBqxZA//5D3h7Wx2diEiRyndiERkZydixY3nzzTcJDQ0lLi6O6OjonAHdR44c4eTJkznlJ06cSHp6Oo888gjBwcE529ixY4vuVTiwougKdSblDCsOrAA0G5RIYdWqWIuljy2lvGt5og9E8/clf9cCepJ/WVnm6tl168I335gzPj3/PGzfDm3bWh2diEixyPc6FlYoretYABw9anazdXWFy5fN6Wfza8LmCQxePphmlZvx099+KvogRcqgpfuW0i2qG5lGJq+3fp1Rfx1ldUjiKHbuhKeegg0bzPuhofDZZxCmbqoi4niKbR0LKXqVK5vTzmZkwIkTBTvG9B3TAbVWiBSlzrU781mXzwB4e/3bfPbzZxZHJHYvNRVefRWaNDGTCk9P+PBD+OknJRUiUiYosbCYs7PZYgEF6w518PxBNh3bhJPNiV4NehVpbCJl3aC7B/FWm7cAeGbZMyzcs9DSeMROGQYsWmQOzn73Xbh6Fbp3h9274YUXzG+PRETKACUWdqAwa1nM3DETgPbV2xPkdfMpf0Uk/95s8yaDmgwiy8ii9/ze/HD0B6tDEnuyaxd06GAmEvHx5jdFixbBggVQShd3FRG5ESUWdqCgA7gNw8g1G5SIFD2bzcbELhPpUrsLaVfT6DqrK3vO7rE6LLHahQvw3HPQqBF89x24ucHw4fDrr/Dgg1ZHJyJiCSUWdqCgLRZbTm5h77m9lHMpx0N3PVT0gYkIAC5OLkT1iCKsShjnL58nYnoEJ5NO3vqJUvpkZsLnn0Pt2vDpp+b97t3Nlov/+z/w8rI6QhERyyixsAMFbbGYsd1srXiwzoP4uJeu2bJE7I2nmyf/7f1favnX4rdLv9FpZicSryRaHZaUpJgYaNbMnPHp7FmoV89srViwAO680+roREQsp8TCDhQkscjMyiTq1yhA3aBESsptnrcR3TeaAM8A4hLi6DGnB+mZ6VaHJcXtl18gIgLCwyEuDvz84JNPzNvh4RYHJyJiP5RY2IHsrlBHj5qTieTF6sOrSUhOwL+cPx1qdii+4EQklxoVarDssWV4unqy6tAqBi4eqAX0SqvffjNXzW7SBFasMBccGjIE9u83f7q6Wh2hiIhdUWJhB4KCzHF/mZlw7FjenpO9dkXPej1xc3YrxuhE5M+aVm7KvJ7zcHFyYfr26fwr5l9WhyRF6fx5GDYM6tQxV802DIiMNKeP/eQTqFTJ6ghFROySEgs74OQEVauat/PSHSo1I5Vvd38LQN9GfYsvMBG5oYiaEUzuOhmAMRvGMH7zeIsjkkK7dAn+/W+oUQM++ACuXIG2bWHzZoiK0jgKEZFbUGJhJ/IzM9R/9/6X5PRkqvlVo2VIy+INTERuqH9of9756zsADFk+JCfhFweTlGTO6FS9OowYYSYYDRrA0qWwejXcc4/VEYqIOAQlFnYiPwO4s9eueKzBY9hstmKLSURubXir4Tzd7GkMDB6b/xjfH/ne6pAkr5KTzZWyq1eH114z16aoW9dsnfjlF+jUCfQeKyKSZ0os7EReWyzOpp5l+YHlAPRppNmgRKxms9kY13Ec3et250rmFR6c9SC7zuyyOiy5mcREeP99s8vTq6/CuXPmuhTTp8POneZ4Cif9exQRyS+9c9qJvLZYzP11LlezrhIaFEq92+oVd1gikgfOTs7MfHgmLUNaciHtAhHTIzieeNzqsOTPTp82WybuuANefhnOnDHHTUybZq6Y3acPODtbHaWIiMNSYmEn8ppYZHeD6ttQg7ZF7Ek513Is7rWYOhXrcDTxKJ1mduJS2iWrwxIwm4KfecacJeP//s8cQ1G3LkyZAnv2mFPKurhYHaWIiMNTYmEnsrtCHTsG6TdYb+vwhcNsOLoBGzZ6NehVcsGJSJ5ULF+R6L7RBHkFsf3Udh6a/RBXrl6xOqyya9s2sxWiVi34z38gLQ2aNzdXyv71V3jiCSUUIiJFSImFnQgIAA8Pc7r0o0evX2bmjpkAtKvejio+VUowOhHJq2p+1VjeZznebt6siV/DE4ueIMvIsjqssuPqVZg7F1q3hrvvhpkzzUWCOnSANWtg0ybo3l1jKEREioHeWe2EzfZ7d6jrDeA2DCOnG1Sfhhq0LWLPQoNC+TbyW1ydXInaGcXL371sdUil39mzMGaM2fzbsyd8/73ZGtG7N2zdCtHR5poUmuVJRKTYKLGwI9ndoa43ziIuIY7dZ3fj7uxOj7t6lGhcIpJ/4TXCmdJtCgAfbPyAjzZ+ZHFEpZBhwM8/w6BBEBICw4eb/Ulvuw3eeAN++81ssWjSxOpIRUTKBHUutSM3G8Cd3VrRtU5XfD18SywmESm4Po36cCLpBC+vepmhK4dS2bsykQ0irQ7L8V28CDNmwKRJ5noT2e6+G557zpwu1t3dsvBERMoqJRZ25EZrWWRmZTJr5yxA3aBEHM2wlsM4lniMTzd/Sr+F/Qj0CqRttbZWh+V4DMPs3jRpkjmGIi3N3O/uDj16wD//CS1bqquTiIiFlFjYkRu1WMTGx3Ii6QR+Hn50rNmxpMMSkUKw2Wx82OFDTiSfYN6ueXSP6s76AetpGNjQ6tAcw8GDZnem6dNh377f9zdoAH/7G/TtC/7+1sUnIiI5lFjYkRsN3s7uBtWzXk/cXdS8L+JonJ2c+eahbziVfIr1R9YTMSOCjQM3cofvHVaHZp/OnIHZs83uTps2/b7f0xN69TITiubN1TohImJnlFjYkeyuUCdPmq38Hh6QdjWN+bvnA2Z/bRFxTB4uHizqtYhWU1qx68wuOs7oyPcDvqdCuQpWh2YfLlyAJUtg1ixYudKcIhbMaWHbtzfXo3joIfDxsTZOERG5ISUWdqRiRfMLuZQUOHIEateGJfuWkHglkRCfEFrd0crqEEWkECqUq0B0n2hafNmCXWd20S2qGysfX4mHi4fVoVnj5ElYuNBcsG7NGnMNimzNmpnJRGQkBAdbFqKIiOSdEgs7YrOZrRY7d5rdoWrX/r0b1GMNH8PJptmBRRxdiG8Iy/ssp9WUVqw/sp6+3/Zl9iOzcXZytjq04mcY5jiJ//4Xvv3W7OZkGL8/Xr++ORD7scegTh3r4hQRkQJRYmFnqlUzE4v4eDh/+TxL9y0FoG+jvpbGJSJFp2FgQxZGLiRiRgTzd8/nhRUv8EnEJ9hK45iBxERYvdpcoC462lxb4o/CwswuTg89ZH6bIiIiDkuJhZ354wDuebvmkZGVQaPARjQIaGBpXCJStNpVb8fX3b+m1/xejNs8jhCfEF669yWrwyq8jAzYssXs2rRiBWzYkLuLk5sb3HcfdO9ublWqWBWpiIgUMSUWduaPq29v/F83KK1dIVI6RTaI5ETSCYauHMrLq16msndlx5uk4fJl+PFHWLfO3DZuhNTU3GVq1YKICOjQAdq2NQeTiYhIqaPEws5kt1jsTThC3G/rsGGjd4PelsYkIsXnhRYvcCzxGB9u+pABiwYQ6BVIeI1wq8O6vqwsOHAAfvoJfv4ZNm82b2dk5C7n72+2Stx/v5lM3HmnNfGKiEiJKtBo4AkTJlCtWjU8PDwICwtj8+bNNy0/d+5c6tati4eHBw0bNmTZsmUFCrYsyE4s9nuYK223qdaGEN8Q6wISkWL3/gPvE1k/koysDB6e/TBxCXFWhwTp6bBjB0RFwSuvwF//ChUqmIOq+/aFjz+GH34wk4rgYHN9if/8xxwkduaMOdPTP/+ppEJEpAzJd4vF7NmzGTp0KJ999hlhYWF8/PHHdOjQgb179xIQEHBN+R9++IHevXszevRounTpwsyZM+nevTtbt26lQQONG/iz7K5QKTWmA+oGJVIWONmcmNZ9GqdSThEbH0vHGR3ZOHAj1fyqFf/JL10yB3Xt2we//vr7tn//72tJ/JGHBzRpYk4H26wZ3Hsv1KihxepERASbYfxxrr9bCwsL45577mH8+PEAZGVlERISwrPPPsurr756TfnIyEhSUlJYsmRJzr6//OUvhIaG8tlnn+XpnImJifj6+nLp0iV8SvniSIYB3jW3k9KvMa5Obpx+6RR+Hn5WhyUiJeBS2iVaT2nNjtM7qFOxDhue3EDF8hULfsDUVEhIgFOnzO34cTOJiI83fx4+bC5MdyM+PlCvHjRuDPfcYyYS9eqBq2vBYxIREYeSn8/h+WqxSE9PZ8uWLQwfPjxnn5OTE+Hh4WzcuPG6z9m4cSNDhw7Nta9Dhw4sXLgwP6e23I6FX5B25mSRHjPLyOL85fOcST3L2dQznE09y5nUM7RpfhZjH9xBU/a/+0ORnlNE7NtHV4cx+eiLXNq3lyE/1ibApTLeeONt88bb5oUXnngZ5SmXkYl76mXc0lJxv5yK++XL5s/UFDwTL+F16QLuaZfzdM4UH1/OBwRz5vY7zK3KHZyuUpUk/4q5WyJ+PW5uIiJSYlrdVZv2TWpaHUae5CuxOHv2LJmZmQQGBubaHxgYyJ49e677nISEhOuWT0hIuOF5rly5wpUrV3LuJyYm5ifMYpH18kvcs7+k49gIdC7hc4qI1drn3Dr/v63gLrvAKU9I8DK3eD84XAEOVYDDfub9FPdLwCXgD+/jhT+1iIgUgfYHRtG+yetWh5Endjkr1OjRoxk5cqTVYeRyqVowu9Kv3rpgPrk4u+Lm5Iabi5v509mNjDQ3Tp90xcjSStsiZZVhy+Sqy2UynLPIcM4kwzmTq85XyXDOIN0lg1RXSHJzJsnNiUQ35//dNrcz5V04Xd6VU+VdSXJzuvn4h8tQPm8NGyIiYoHbqwdbHUKe5SuxqFSpEs7Ozpw6dSrX/lOnThEUFHTd5wQFBeWrPMDw4cNzdZ9KTEwkJMTamZHuW3n9FpniUohe1SIiIiIiJS5fX4m7ubnRtGlTYmJicvZlZWURExNDixYtrvucFi1a5CoP8N13392wPIC7uzs+Pj65NhERERERsV/57go1dOhQ+vfvT7NmzWjevDkff/wxKSkpDBgwAIB+/fpRpUoVRo8eDcBzzz1HmzZt+OCDD+jcuTNRUVH8/PPPfPHFF0X7SkRERERExDL5TiwiIyM5c+YMb775JgkJCYSGhhIdHZ0zQPvIkSM4Of3eENKyZUtmzpzJ66+/zr/+9S9q1arFwoULtYaFiIiIiEgpku91LKxQltaxEBERERGxF/n5HK5ph0REREREpNCUWIiIiIiISKEpsRARERERkUKzywXy/ix7GIg9rMAtIiIiIlJWZH/+zsuwbIdILJKSkgAsXyRPRERERKQsSkpKwtfX96ZlHGJWqKysLE6cOIG3tzc2m82SGLJX/z569KhmpioCqs+ipfosWqrPoqX6LFqqz6Kl+ixaqs+iYy91aRgGSUlJVK5cOdeSEtfjEC0WTk5O3H777VaHAaCVwIuY6rNoqT6LluqzaKk+i5bqs2ipPouW6rPo2ENd3qqlIpsGb4uIiIiISKEpsRARERERkUJTYpFH7u7ujBgxAnd3d6tDKRVUn0VL9Vm0VJ9FS/VZtFSfRUv1WbRUn0XHEevSIQZvi4iIiIiIfVOLhYiIiIiIFJoSCxERERERKTQlFiIiIiIiUmhKLEREREREpNDKdGIxYcIEqlWrhoeHB2FhYWzevPmm5efOnUvdunXx8PCgYcOGLFu2LNfjhmHw5ptvEhwcTLly5QgPD2f//v3F+RLsSn7qc9KkSbRu3ZoKFSpQoUIFwsPDryn/xBNPYLPZcm0RERHF/TLsRn7qc+rUqdfUlYeHR64yuj7zXp9t27a9pj5tNhudO3fOKVNWr89169bRtWtXKleujM1mY+HChbd8TmxsLHfffTfu7u7UrFmTqVOnXlMmv+/HpUV+6/Pbb7/l/vvv57bbbsPHx4cWLVqwYsWKXGXeeuuta67NunXrFuOrsB/5rc/Y2Njr/q0nJCTkKqfrM2/1eb33RZvNRv369XPKlNXrc/To0dxzzz14e3sTEBBA9+7d2bt37y2f52ifPctsYjF79myGDh3KiBEj2Lp1K40bN6ZDhw6cPn36uuV/+OEHevfuzcCBA9m2bRvdu3ene/fu7Ny5M6fMe++9x6effspnn33Gjz/+iKenJx06dCAtLa2kXpZl8lufsbGx9O7dmzVr1rBx40ZCQkJ44IEHOH78eK5yERERnDx5MmebNWtWSbwcy+W3PsFcmfOPdfXbb7/lelzXZ97r89tvv81Vlzt37sTZ2ZlHH300V7myeH2mpKTQuHFjJkyYkKfyhw8fpnPnzrRr1464uDief/55Bg0alOvDcEGu99Iiv/W5bt067r//fpYtW8aWLVto164dXbt2Zdu2bbnK1a9fP9e1+f333xdH+HYnv/WZbe/evbnqKyAgIOcxXZ95r89PPvkkVz0ePXoUf3//a947y+L1uXbtWp555hk2bdrEd999R0ZGBg888AApKSk3fI5DfvY0yqjmzZsbzzzzTM79zMxMo3Llysbo0aOvW75nz55G586dc+0LCwsz/vGPfxiGYRhZWVlGUFCQ8f777+c8fvHiRcPd3d2YNWtWMbwC+5Lf+vyzq1evGt7e3sa0adNy9vXv39/o1q1bUYfqEPJbn1OmTDF8fX1veDxdn4W7Pj/66CPD29vbSE5OztlXlq/PbICxYMGCm5Z5+eWXjfr16+faFxkZaXTo0CHnfmF/P6VFXurzeurVq2eMHDky5/6IESOMxo0bF11gDiov9blmzRoDMC5cuHDDMro+TQW5PhcsWGDYbDYjPj4+Z5+uT9Pp06cNwFi7du0NyzjiZ88y2WKRnp7Oli1bCA8Pz9nn5OREeHg4GzduvO5zNm7cmKs8QIcOHXLKHz58mISEhFxlfH19CQsLu+ExS4uC1OefpaamkpGRgb+/f679sbGxBAQEUKdOHZ5++mnOnTtXpLHbo4LWZ3JyMlWrViUkJIRu3brx66+/5jym67Nw1+eXX35Jr1698PT0zLW/LF6f+XWr986i+P2UZVlZWSQlJV3z3rl//34qV65MjRo16NOnD0eOHLEoQscQGhpKcHAw999/Pxs2bMjZr+uzcL788kvCw8OpWrVqrv26PuHSpUsA1/zt/pEjfvYsk4nF2bNnyczMJDAwMNf+wMDAa/pVZktISLhp+eyf+TlmaVGQ+vyzV155hcqVK+f644iIiODrr78mJiaGd999l7Vr19KxY0cyMzOLNH57U5D6rFOnDl999RWLFi1i+vTpZGVl0bJlS44dOwbo+izM9bl582Z27tzJoEGDcu0vq9dnft3ovTMxMZHLly8XyftHWTZ27FiSk5Pp2bNnzr6wsDCmTp1KdHQ0EydO5PDhw7Ru3ZqkpCQLI7VPwcHBfPbZZ8yfP5/58+cTEhJC27Zt2bp1K1A0/9/KqhMnTrB8+fJr3jt1fZpfCDz//PPce++9NGjQ4IblHPGzp4slZxX5gzFjxhAVFUVsbGyuAce9evXKud2wYUMaNWrEnXfeSWxsLO3bt7ciVLvVokULWrRokXO/ZcuW3HXXXXz++eeMGjXKwsgc35dffknDhg1p3rx5rv26PsVqM2fOZOTIkSxatCjXmICOHTvm3G7UqBFhYWFUrVqVOXPmMHDgQCtCtVt16tShTp06OfdbtmzJwYMH+eijj/jmm28sjMzxTZs2DT8/P7p3755rv65PeOaZZ9i5c2epHFtSJlssKlWqhLOzM6dOncq1/9SpUwQFBV33OUFBQTctn/0zP8csLQpSn9nGjh3LmDFjWLlyJY0aNbpp2Ro1alCpUiUOHDhQ6JjtWWHqM5urqytNmjTJqStdnwWrz5SUFKKiovL0z66sXJ/5daP3Th8fH8qVK1ck13tZFBUVxaBBg5gzZ841XSX+zM/Pj9q1a+vazKPmzZvn1JWuz4IxDIOvvvqKxx9/HDc3t5uWLWvX5+DBg1myZAlr1qzh9ttvv2lZR/zsWSYTCzc3N5o2bUpMTEzOvqysLGJiYnJ96/tHLVq0yFUe4LvvvsspX716dYKCgnKVSUxM5Mcff7zhMUuLgtQnmDMZjBo1iujoaJo1a3bL8xw7doxz584RHBxcJHHbq4LW5x9lZmayY8eOnLrS9Vmw+pw7dy5Xrlyhb9++tzxPWbk+8+tW751Fcb2XNbNmzWLAgAHMmjUr1xTIN5KcnMzBgwd1beZRXFxcTl3p+iyYtWvXcuDAgTx9KVNWrk/DMBg8eDALFixg9erVVK9e/ZbPccjPnpYMGbcDUVFRhru7uzF16lRj165dxt///nfDz8/PSEhIMAzDMB5//HHj1VdfzSm/YcMGw8XFxRg7dqyxe/duY8SIEYarq6uxY8eOnDJjxowx/Pz8jEWLFhnbt283unXrZlSvXt24fPlyib++kpbf+hwzZozh5uZmzJs3zzh58mTOlpSUZBiGYSQlJRnDhg0zNm7caBw+fNhYtWqVcffddxu1atUy0tLSLHmNJSm/9Tly5EhjxYoVxsGDB40tW7YYvXr1Mjw8PIxff/01p4yuz7zXZ7ZWrVoZkZGR1+wvy9dnUlKSsW3bNmPbtm0GYHz44YfGtm3bjN9++80wDMN49dVXjccffzyn/KFDh4zy5csbL730krF7925jwoQJhrOzsxEdHZ1T5la/n9Isv/U5Y8YMw8XFxZgwYUKu986LFy/mlHnxxReN2NhY4/Dhw8aGDRuM8PBwo1KlSsbp06dL/PWVtPzW50cffWQsXLjQ2L9/v7Fjxw7jueeeM5ycnIxVq1bllNH1mff6zNa3b18jLCzsuscsq9fn008/bfj6+hqxsbG5/nZTU1NzypSGz55lNrEwDMMYN26ccccddxhubm5G8+bNjU2bNuU81qZNG6N///65ys+ZM8eoXbu24ebmZtSvX99YunRprsezsrKMN954wwgMDDTc3d2N9u3bG3v37i2Jl2IX8lOfVatWNYBrthEjRhiGYRipqanGAw88YNx2222Gq6urUbVqVeNvf/tbmXgjz5af+nz++edzygYGBhqdOnUytm7dmut4uj7z9/e+Z88eAzBWrlx5zbHK8vWZPT3nn7fs+uvfv7/Rpk2ba54TGhpquLm5GTVq1DCmTJlyzXFv9vspzfJbn23atLlpecMwp/MNDg423NzcjCpVqhiRkZHGgQMHSvaFWSS/9fnuu+8ad955p+Hh4WH4+/sbbdu2NVavXn3NcXV95v3v/eLFi0a5cuWML7744rrHLKvX5/XqEcj1flgaPnvaDMMwiq05REREREREyoQyOcZCRERERESKlhILEREREREpNCUWIiIiIiJSaEosRERERESk0JRYiIiIiIhIoSmxEBERERGRQlNiISIiIiIihabEQkRERETEQa1bt46uXbtSuXJlbDYbCxcuzNfz33rrLWw22zWbp6dnvmNRYiEiIiIi4qBSUlJo3LgxEyZMKNDzhw0bxsmTJ3Nt9erV49FHH833sZRYiIiIiIg4qI4dO/L222/z0EMPXffxK1euMGzYMKpUqYKnpydhYWHExsbmPO7l5UVQUFDOdurUKXbt2sXAgQPzHYsSCxERERGRUmrw4MFs3LiRqKgotm/fzqOPPkpERAT79++/bvnJkydTu3ZtWrdune9zKbEQERERESmFjhw5wpQpU5g7dy6tW7fmzjvvZNiwYbRq1YopU6ZcUz4tLY0ZM2YUqLUCwKWwAYuIiIiIiP3ZsWMHmZmZ1K5dO9f+K1euULFixWvKL1iwgKSkJPr371+g8ymxEBEREREphZKTk3F2dmbLli04OzvneszLy+ua8pMnT6ZLly4EBgYW6HxKLERERERESqEmTZqQmZnJ6dOnbzlm4vDhw6xZs4bFixcX+HxKLEREREREHFRycjIHDhzIuX/48GHi4uLw9/endu3a9OnTh379+vHBBx/QpEkTzpw5Q0xMDI0aNaJz5845z/vqq68IDg6mY8eOBY7FZhiGUahXIyIiIiIiloiNjaVdu3bX7O/fvz9Tp04lIyODt99+m6+//prjx49TqVIl/vKXvzBy5EgaNmwIQFZWFlWrVqVfv3688847BY5FiYWIiIiIiBSappsVEREREZFCU2IhIiIiIiKFpsRCREREREQKTYmFiIiIiIgUmhILEREREREpNCUWIiIiIiJSaEosRERERESk0JRYiIiIiIhIoSmxEBERERGRQlNiISIiIiIihabEQkRERERECk2JhYiIiIiIFNr/A9IHfoK+DSIfAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Определение диапазонов значений для входных переменных\n", + "x_high = np.linspace(0, 30, 100)\n", + "x_open = np.linspace(0, 30, 100)\n", + "x_volume = np.linspace(0, 20000000, 100)\n", + "\n", + "# Определение функций принадлежности для high\n", + "high_low = fuzz.trapmf(x_high, [0, 0, 4, 9.005])\n", + "high_medium = fuzz.trimf(x_high, [9, 13, 16.05])\n", + "high_high = fuzz.smf(x_high, 16, 25)\n", + "\n", + "# Определение функций принадлежности для Open\n", + "open_low = fuzz.trapmf(x_open, [0, 0, 4, 9.005])\n", + "open_medium = fuzz.trimf(x_open, [9, 13, 16.05])\n", + "open_high = fuzz.smf(x_open, 16, 25)\n", + "\n", + "# Определение функций принадлежности для Value\n", + "volume_low = fuzz.trapmf(x_volume, [0, 0, 50000, 800050])\n", + "volume_medium = fuzz.trimf(x_volume, [800000, 3000000, 8500050])\n", + "volume_high = fuzz.smf(x_volume, 8500000, 20000000)\n", + "\n", + "# Определение нечетких правил\n", + "fuzzy_rules = [\n", + " (\"Низкий\", \"Мало\", \"Низкий\"),\n", + " (\"Низкий\", \"Средне\", \"Средний\"),\n", + " (\"Низкий\", \"Много\", \"Высокий\"),\n", + " (\"Средний\", \"Мало\", \"Средний\"),\n", + " (\"Средний\", \"Средне\", \"Высокий\"),\n", + " (\"Средний\", \"Много\", \"Высокий\"),\n", + " (\"Высокий\", \"Мало\", \"Высокий\"),\n", + " (\"Высокий\", \"Средне\", \"Высокий\"),\n", + " (\"Высокий\", \"Много\", \"Высокий\")\n", + "]\n", + "\n", + "# Визуализация функций принадлежности\n", + "fig, (ax0, ax1, ax2) = plt.subplots(nrows=3, figsize=(8, 9))\n", + "\n", + "ax0.plot(x_high, high_low, 'b', linewidth=1.5, label='Низкий')\n", + "ax0.plot(x_high, high_medium, 'g', linewidth=1.5, label='Средний')\n", + "ax0.plot(x_high, high_high, 'r', linewidth=1.5, label='Высокий')\n", + "ax0.set_title('Функции принадлежности для Hight')\n", + "ax0.legend()\n", + "\n", + "ax1.plot(x_open, open_low, 'b', linewidth=1.5, label='Мало')\n", + "ax1.plot(x_open, open_medium, 'g', linewidth=1.5, label='Средне')\n", + "ax1.plot(x_open, open_high, 'r', linewidth=1.5, label='Много')\n", + "ax1.set_title('Функции принадлежности для Open')\n", + "ax1.legend()\n", + "\n", + "ax2.plot(x_volume, volume_low, 'b', linewidth=1.5, label='Низкий')\n", + "ax2.plot(x_volume, volume_medium, 'g', linewidth=1.5, label='Средний')\n", + "ax2.plot(x_volume, volume_high, 'r', linewidth=1.5, label='Высокий')\n", + "ax2.set_title('Функции принадлежности для Value')\n", + "ax2.legend() \n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## База нечётких правил\n", + "\n", + "\n", + "\n", + "\n", + "Для оценки качества системы создадим тестовые данные и применим нечеткие правила для получения предсказанных значений. Затем сравним их с реальными значениями." + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "High | Open | Value | Оцененная Value\n", + "10.26 | 10.39 | 10532700 | 4408286.95\n", + "3.65 | 3.75 | 581100 | 271034.51\n", + "3.74 | 3.89 | 522100 | 271034.51\n", + "3.94 | 3.95 | 427100 | 271039.24\n", + "3.65 | 3.68 | 383500 | 271034.51\n", + "\n", + "Средняя абсолютная ошибка (MAE): 1390814.06\n", + "Среднеквадратичная ошибка (RMSE): 2746074.04\n" + ] + } + ], + "source": [ + "# Функция для вычисления нечеткой оценки\n", + "def fuzzy_inference(high, open):\n", + " # Определение степени принадлежности\n", + " high_low_degree = fuzz.interp_membership(x_high, high_low, high)\n", + " high_medium_degree = fuzz.interp_membership(x_high, high_medium, high)\n", + " high_high_degree = fuzz.interp_membership(x_high, high_high, high)\n", + "\n", + " open_low_degree = fuzz.interp_membership(x_open, open_low, open)\n", + " open_medium_degree = fuzz.interp_membership(x_open, open_medium, open)\n", + " open_high_degree = fuzz.interp_membership(x_open, open_high, open)\n", + "\n", + " # Применяем правила\n", + " # Активируем термы выходной переменной с использованием степени принадлежности\n", + " volume_low_activated = np.fmin(high_low_degree, volume_low)\n", + " volume_medium_activated = np.fmin(high_medium_degree, volume_medium)\n", + " volume_high_activated = np.fmin(high_high_degree, volume_high)\n", + "\n", + " # Агрегируем все активированные термы\n", + " aggregated = np.fmax(volume_low_activated, np.fmax(volume_medium_activated, volume_high_activated))\n", + "\n", + " # Дефуззификация\n", + " volume_defuzz = fuzz.defuzz(x_volume, aggregated, 'centroid')\n", + "\n", + " return volume_defuzz\n", + "\n", + "# Оценка системы на тестовом наборе данных\n", + "results = []\n", + "test_data = [\n", + " (10.26, 10.39, 10532700),\n", + " (3.65, 3.75, 581100),\n", + " (3.74, 3.89, 522100),\n", + " (3.94, 3.95, 427100),\n", + " (3.65, 3.68, 383500),\n", + "]\n", + "for high, open, actual_volume in test_data:\n", + " inferred_volume = fuzzy_inference(high, open)\n", + " results.append((high, open, actual_volume, inferred_volume))\n", + "\n", + "# Вывод результатов\n", + "print(\"High | Open | Value | Оцененная Value\")\n", + "for high, open, actual_volume, inferred_volume in results:\n", + " print(f\"{high:4} | {open:6} | {actual_volume:15} | {inferred_volume:.2f}\")\n", + "\n", + "# Вычисление метрик качества\n", + "actual_volumes = [actual for _, _, actual, _ in results]\n", + "inferred_volumes = [inferred for _, _, _, inferred in results]\n", + "\n", + "mae = np.mean(np.abs(np.array(actual_volumes) - np.array(inferred_volumes)))\n", + "rmse = np.sqrt(np.mean((np.array(actual_volumes) - np.array(inferred_volumes)) ** 2))\n", + "\n", + "print(f\"\\nСредняя абсолютная ошибка (MAE): {mae:.2f}\")\n", + "print(f\"Среднеквадратичная ошибка (RMSE): {rmse:.2f}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "В результате выполнения лабораторной работы была создана нечеткая система, которая позволяет оценивать общую стоимость транзакции на основе открытия золота и количества продаж золота. Система была протестирована на тестовых данных, и были вычислены метрики качества (MAE и RMSE). Полученные результаты указывают на необходимость дальнейшей настройки системы для повышения точности предсказаний." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "aisenv", + "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": "3.12.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}