{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"intro_matplotlib.ipynb","provenance":[],"collapsed_sections":[],"authorship_tag":"ABX9TyMtz+Yf7I5lSF+yZZkCmm3Y"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","metadata":{"id":"FeqBw9SmQIng"},"source":["# matplotlib入門"]},{"cell_type":"code","metadata":{"id":"E2VC9ACxQDxP","executionInfo":{"status":"ok","timestamp":1619089966012,"user_tz":-540,"elapsed":746,"user":{"displayName":"TOMA Naruaki","photoUrl":"","userId":"11747312442870110137"}}},"source":["# 適当なデータを用意\n","import numpy as np\n","datasets = np.array([[4,7], [8,10], [13,11], [17,14]])\n","x = datasets[:,0]\n","y = datasets[:,1]"],"execution_count":1,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":300},"id":"Fl6kS2uhQTLc","executionInfo":{"status":"ok","timestamp":1619089966462,"user_tz":-540,"elapsed":1192,"user":{"displayName":"TOMA Naruaki","photoUrl":"","userId":"11747312442870110137"}},"outputId":"e3d7ae17-816f-49cd-a368-13001d84f275"},"source":["# サンプルを点で描画\n","import matplotlib.pyplot as plt\n","plt.scatter(x, y, color=\"black\", label=\"dataset\")\n","plt.xlabel('x')\n","plt.ylabel('y')\n","plt.legend(loc=\"best\")\n","plt.show()"],"execution_count":2,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAX4AAAEGCAYAAABiq/5QAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAUIUlEQVR4nO3df5BddX3G8edJghMvjRWSFdG4e5Hyyy7ZkNw0FCRFsRKEgSrTCrOOyai9tlN/jhMG3Y440mttwwytOAMsQqOTSxyhElFHJwyKMINSbyhgQoRMNLssAlkCYiZr2iR8+sdeabLZy/7Innv27vf9mtnZvd97cr5PdrJPzn7Puec6IgQASMesvAMAAJqL4geAxFD8AJAYih8AEkPxA0Bi5uQdYDwWLFgQxWIx7xgA0FI2b978fES0jRxvieIvFouq1Wp5xwCAlmK7b7RxlnoAIDEUPwAkhuIHgMS0xBr/aPbv36+BgQHt27cv7yjT1ty5c7Vw4UIdc8wxeUcBMI20bPEPDAxo3rx5KhaLsp13nGknIrR7924NDAzopJNOyjsOgGkks6Ue27fZ3mV7yyjPfcZ22F4w2f3v27dP8+fPp/QbsK358+fzGxHQoqrVqorFombNmqVisahqtTpl+85yjX+dpJUjB22/RdK7JfUf7QSU/qvj+wO0pmq1qnK5rL6+PkWE+vr6VC6Xp6z8Myv+iLhf0gujPHW9pKskcT9oABhFT0+PhoaGDhsbGhpST0/PlOy/qVf12L5M0tMR8eg4ti3brtmuDQ4ONiHd0fnCF76g6667ruHzGzdu1OOPPz6lc+7cuVO33377lO4TQP76+0dfEGk0PlFNK37bBUmfk/T58WwfEb0RUYqIUlvbEa84bjkUP4Dxam9vn9D4RDXziP9kSSdJetT2TkkLJT1s+43NmDyLEyWVSkWnnnqq3v72t+uJJ56QJN1yyy1atmyZurq6dPnll2toaEgPPvig7r77bq1Zs0aLFy/Wjh07Rt1Oku644w51dnaqq6tLK1askCQdPHhQa9as0bJly7Ro0SLdfPPNkqSrr75aDzzwgBYvXqzrr7/+qP8+AKaHSqWiQqFw2FihUFClUpmaCSIisw9JRUlbGjy3U9KC8exn6dKlMdLjjz9+xFgj69evj0KhEBo+rxCSolAoxPr168e9j5FqtVp0dnbG3r1746WXXoqTTz451q5dG88///wr2/T09MRXvvKViIhYtWpV3HHHHa8812i7zs7OGBgYiIiIF198MSIibr755rj22msjImLfvn2xdOnS+NWvfhU//vGP4+KLL37VnBP5PgGYPtavXx8dHR1hOzo6OibVV5JqMUqnZnk55wZJP5V0mu0B2x/Oaq6xZHGi5IEHHtB73/teFQoFve51r9Oll14qSdqyZYvOO+88nXnmmapWq9q6deuof77Rdueee65Wr16tW265RQcPHpQkbdq0Sd/4xje0ePFiLV++XLt379b27dsnnR3A9Nfd3a2dO3fq5Zdf1s6dO9Xd3T1l+87sBVwRceUYzxezmnukrE+UHGr16tXauHGjurq6tG7dOt13330T2u6mm27SQw89pO9///taunSpNm/erIjQDTfcoAsvvPCwfTTaNwC8miTu1ZPFiZIVK1Zo48aN+v3vf689e/bou9/9riRpz549OvHEE7V///7DziPMmzdPe/bseeVxo+127Nih5cuX64tf/KLa2tr01FNP6cILL9SNN96o/fv3S5KefPJJ7d2794h9AsB4JFH8WZwoWbJkid7//verq6tLF110kZYtWyZJuvbaa7V8+XKde+65Ov3001/Z/oorrtDatWt11llnaceOHQ23W7Nmjc4880x1dnbqnHPOUVdXlz7ykY/obW97m5YsWaLOzk599KMf1YEDB7Ro0SLNnj1bXV1dnNwFMG4eXv+f3kqlUox8I5Zt27bpjDPOGPc+qtWqenp61N/fr/b2dlUqlSldM5uuJvp9AjBz2N4cEaWR4y17k7aJ6u7uTqLoAWAsSSz1AAD+X0sXfyssU+WJ7w+A0bRs8c+dO1e7d++m3BqI+v34586dm3cUANNMy67xL1y4UAMDA2qFG7jl5Q/vwAUAh2rZ4j/mmGN4ZykAmISWXeoBAEwOxQ8AiaH4ASAxFD8AJIbiB4DEUPwAkBiKHwASQ/EDQGIofgBIDMUPAInJ8s3Wb7O9y/aWQ8autf2Y7Udsb7L9pqzmBwCMLssj/nWSVo4YWxsRiyJisaTvSfp8hvMDAEaRWfFHxP2SXhgx9rtDHh4riXsqA0CTNf3unLYrkj4o6SVJ73iV7cqSypLU3t7enHAAkICmn9yNiJ6IeIukqqSPvcp2vRFRiohSW1tb8wICwAyX51U9VUmX5zg/ACSpqcVv+5RDHl4m6ZfNnB8AkOEav+0Nks6XtMD2gKRrJL3H9mmSXpbUJ+nvspofADC6zIo/Iq4cZfjWrOYDAIwPr9wFgMRQ/ACQGIofABJD8QNAYih+AEgMxQ8AiaH4ASAxFD8AJIbiB4DEUPwAkBiKHwASQ/EDQGIofgBIDMUPAImh+AEgMRQ/ACSG4geAxFD8AJAYih8AEkPxA0BiMit+27fZ3mV7yyFja23/0vZjtu+y/fqs5gcAjC7LI/51klaOGLtHUmdELJL0pKTPZjg/AGAUmRV/RNwv6YURY5si4kD94c8kLcxqfgDA6PJc4/+QpB80etJ22XbNdm1wcLCJsQBgZsul+G33SDogqdpom4jojYhSRJTa2tqaFw4AZrg5zZ7Q9mpJl0i6ICKi2fMDQOqaWvy2V0q6StJfRMRQM+cGAAzL8nLODZJ+Kuk02wO2Pyzpq5LmSbrH9iO2b8pqfgDA6DI74o+IK0cZvjWr+QAA48MrdwEgMRQ/ACSG4geAxFD8AJAYih8AEkPxA0BiKH4ASAzFDwCJofgBIDEUPwAkhuIHgMRQ/ACQGIofABJD8QNAYih+AEgMxQ8AiaH4ASAxFD8AJIbiB4DEZPlm67fZ3mV7yyFjf217q+2XbZeymhvA1KlWqyoWi5o1a5aKxaKq1WrekXCUsjziXydp5YixLZLeJ+n+DOcFMEWq1arK5bL6+voUEerr61O5XKb8W1xmxR8R90t6YcTYtoh4Iqs5AUytnp4eDQ0NHTY2NDSknp6enBJhKkzbNX7bZds127XBwcG84wBJ6u/vn9A4WsO0Lf6I6I2IUkSU2tra8o4DJKm9vX1C42gN07b4AeSvUqmoUCgcNlYoFFSpVHJKhKlA8QNoqLu7W729vero6JBtdXR0qLe3V93d3XlHw1FwRGSzY3uDpPMlLZD0nKRrNHyy9wZJbZJ+K+mRiLhwrH2VSqWo1WqZ5ASAmcr25og44tL5OVlNGBFXNnjqrqzmBACMjaUeAEgMxQ8AiaH4ASAxFD8AJIbiB4DEUPwAkBiKHwASM2bx2/647eOaEQYAkL3xHPGfIOnntr9le6VtZx0KAJCdMYs/Iv5R0imSbpW0WtJ221+yfXLG2QAAGRjXGn8M39Dn2frHAUnHSbrT9r9mmA0AkIEx79Vj+5OSPijpeUlfk7QmIvbbniVpu6Srso0IAJhK47lJ2/GS3hcRfYcORsTLti/JJhYAICtjFn9EXPMqz22b2jgAgKxxHT8AJIbiB4DEUPwAkBiKHwASQ/EDQGIyK37bt9neZXvLIWPH277H9vb6Z+4BNMNUq1UVi0XNmjVLxWJR1Wo170gARsjyiH+dpJUjxq6WdG9EnCLp3vpjzBDValXlcll9fX2KCPX19alcLlP+wDTj4bsxZLRzuyjpexHRWX/8hKTzI+IZ2ydKui8iThtrP6VSKWq1WmY5MTWKxaL6+vqOGO/o6NDOnTubHwhInO3NEVEaOd7sNf4TIuKZ+tfPavjOn6OyXbZds10bHBxsTjoclf7+/gmNA8hHbid36zd+a/jrRkT0RkQpIkptbW1NTIbJam9vn9A4gHw0u/ifqy/xqP55V5PnR4YqlYoKhcJhY4VCQZVKJadEAEbT7OK/W9Kq+terJH2nyfMjQ93d3ert7VVHR4dsq6OjQ729veru7s47GoBDZHZy1/YGSedLWiDpOUnXSNoo6VuS2iX1SfqbiHhhrH1xchcAJq7Ryd3x3JZ5UiLiygZPXZDVnACAsfHKXQBIDMUPAImh+AEgMRQ/ACSG4geAxFD8AJAYih8AEkPxA0BiKH4ASAzFDwCJofgBIDEUPwAkhuIHgMRQ/ACQGIofABJD8QNAYih+AEgMxQ8AiaH4ASAxuRS/7U/a3mJ7q+1P5ZEBAFLV9OK33SnpbyX9maQuSZfY/pNm5wCAVOVxxH+GpIciYigiDkj6iaT35ZADAJKUR/FvkXSe7fm2C5LeI+ktIzeyXbZds10bHBxsekgAmKmaXvwRsU3Sv0jaJOmHkh6RdHCU7XojohQRpba2tianBICZK5eTuxFxa0QsjYgVkl6U9GQeOQAgRXPymNT2GyJil+12Da/vn51HDgBIUS7FL+k/bc+XtF/SP0TEb3PKAQDJyaX4I+K8POYFAPDKXQBIDsUPAImh+AEgMRQ/ACSG4geAxFD8AJAYih8AEkPxA0BiKH4ASAzFDwCJofgBIDEUPwAkhuIHgMRQ/ACQGIofABJD8QNAYih+AEgMxQ8AiaH4ASAxFD8AJCaX4rf9adtbbW+xvcH23DxyAECKml78tt8s6ROSShHRKWm2pCuanQMAUpXXUs8cSa+1PUdSQdJvcsoBAMlpevFHxNOSrpPUL+kZSS9FxKaR29ku267Zrg0ODjY7JgDMWHks9Rwn6TJJJ0l6k6RjbX9g5HYR0RsRpYgotbW1NTsmAMxYeSz1vEvSryNiMCL2S/q2pHNyyAEAScqj+PslnW27YNuSLpC0LYccAJCkPNb4H5J0p6SHJf2inqG32TkAIFVz8pg0Iq6RdE0ecwNA6njlLgAkhuIHgMRQ/ACQGIofABJD8QNAYih+AEgMxQ8AiaH4ASAxFD8AJIbiB4DEUPwAkBiKHwASQ/EDQGIofgBIDMUPAImh+AEgMRQ/ACSG4geAxFD8AJCYphe/7dNsP3LIx+9sf2qq56lWqyoWi5o1a5aKxaKq1epUTwEALanpb7YeEU9IWixJtmdLelrSXVM5R7VaVblc1tDQkCSpr69P5XJZktTd3T2VUwFAy8l7qecCSTsiom8qd9rT0/NK6f/B0NCQenp6pnIaAGhJeRf/FZI2jPaE7bLtmu3a4ODghHba398/oXEASEluxW/7NZIulXTHaM9HRG9ElCKi1NbWNqF9t7e3T2gcAFKS5xH/RZIejojnpnrHlUpFhULhsLFCoaBKpTLVUwFAy8mz+K9Ug2Weo9Xd3a3e3l51dHTItjo6OtTb28uJXQCQ5Iho/qT2sZL6Jb01Il4aa/tSqRS1Wi37YAAwg9jeHBGlkeNNv5xTkiJir6T5ecwNAKnL+6oeAECTUfwAkBiKHwASQ/EDQGJyuapnomwPSprsbR0WSHp+CuM0E9nz0arZWzW3RPasdETEEa+AbYniPxq2a6NdztQKyJ6PVs3eqrklsjcbSz0AkBiKHwASk0Lx9+Yd4CiQPR+tmr1Vc0tkb6oZv8YPADhcCkf8AIBDUPwAkJgZXfy2Z9v+b9vfyzvLRNl+ve07bf/S9jbbf553pvGw/WnbW21vsb3B9ty8MzVi+zbbu2xvOWTseNv32N5e/3xcnhkbaZB9bf3fy2O277L9+jwzNjJa9kOe+4ztsL0gj2xjaZTd9sfr3/uttv81r3zjNaOLX9InJW3LO8Qk/bukH0bE6ZK61AJ/D9tvlvQJSaWI6JQ0W8NvrzldrZO0csTY1ZLujYhTJN1bfzwdrdOR2e+R1BkRiyQ9KemzzQ41Tut0ZHbZfoukd2v4lu3T1TqNyG77HZIuk9QVEX8q6bocck3IjC1+2wslXSzpa3lnmSjbfyxphaRbJSki/jcifptvqnGbI+m1tudIKkj6Tc55GoqI+yW9MGL4Mklfr3/9dUl/1dRQ4zRa9ojYFBEH6g9/Jmlh04ONQ4PvuyRdL+kqSdP2ipMG2f9e0pcj4n/q2+xqerAJmrHFL+nfNPyP6OW8g0zCSZIGJf1Hfanqa/U3r5nWIuJpDR/t9Et6RtJLEbEp31QTdkJEPFP/+llJJ+QZ5ih8SNIP8g4xXrYvk/R0RDyad5ZJOFXSebYfsv0T28vyDjSWGVn8ti+RtCsiNuedZZLmSFoi6caIOEvSXk3fJYdX1NfDL9Pwf1xvknSs7Q/km2ryYvha52l79NmI7R5JByRV884yHrYLkj4n6fN5Z5mkOZKOl3S2pDWSvmXb+UZ6dTOy+CWdK+lS2zslfVPSO22vzzfShAxIGoiIh+qP79TwfwTT3bsk/ToiBiNiv6RvSzon50wT9ZztEyWp/nna/9p+KNurJV0iqTta50U6J2v4YOHR+s/sQkkP235jrqnGb0DSt2PYf2l4lWFanpz+gxlZ/BHx2YhYGBFFDZ9c/FFEtMyRZ0Q8K+kp26fVhy6Q9HiOkcarX9LZtgv1I54L1AInpUe4W9Kq+terJH0nxywTYnulhpc3L42IobzzjFdE/CIi3hARxfrP7ICkJfWfg1awUdI7JMn2qZJeo+l7t05JM7T4Z4iPS6rafkzSYklfyjnPmOq/odwp6WFJv9Dwv69p+3J22xsk/VTSabYHbH9Y0pcl/aXt7Rr+DebLeWZspEH2r0qaJ+ke24/YvinXkA00yN4SGmS/TdJb65d4flPSqun+2xa3bACAxHDEDwCJofgBIDEUPwAkhuIHgMRQ/ACQGIofABJD8QNAYih+YBJsL6vf936u7WPr92HvzDsXMB68gAuYJNv/JGmupNdq+N5K/5xzJGBcKH5gkmy/RtLPJe2TdE5EHMw5EjAuLPUAkzdf0h9p+P440/YtJoGROOIHJsn23Rq+KddJkk6MiI/lHAkYlzl5BwBake0PStofEbfbni3pQdvvjIgf5Z0NGAtH/ACQGNb4ASAxFD8AJIbiB4DEUPwAkBiKHwASQ/EDQGIofgBIzP8ByPUIqmYLgvgAAAAASUVORK5CYII=\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":286},"id":"S7YyK4j7Q2Ax","executionInfo":{"status":"ok","timestamp":1619089967179,"user_tz":-540,"elapsed":1903,"user":{"displayName":"TOMA Naruaki","photoUrl":"","userId":"11747312442870110137"}},"outputId":"8805f565-16bd-455d-bf01-b188043bca0c"},"source":["# 線グラフ描画するための適当な関数を用意\n","def function(x):\n","  return (x-10)**2\n","\n","x2 = np.linspace(4, 17, 5) #定義域[4,17]で5等分したサンプルを用意\n","y2 = function(x2)           #サンプルにおけるyの値を準備\n","plt.plot(x2, y2, color=\"blue\", linewidth=3, label=\"plot example\")\n","plt.show()"],"execution_count":3,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":286},"id":"Zg2FbTzKQlhr","executionInfo":{"status":"ok","timestamp":1619089967180,"user_tz":-540,"elapsed":1899,"user":{"displayName":"TOMA Naruaki","photoUrl":"","userId":"11747312442870110137"}},"outputId":"1cf3ae9f-4c55-463f-8aea-83e22162a0cb"},"source":["#サンプル数を増やしてもう一度実行\n","x2 = np.linspace(4, 17, 100)\n","y2 = function(x2)\n","plt.plot(x2, y2, color=\"blue\", linewidth=3, label=\"plot example\")\n","plt.show()"],"execution_count":4,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":300},"id":"lhm_iFFRRnqL","executionInfo":{"status":"ok","timestamp":1619089967471,"user_tz":-540,"elapsed":2185,"user":{"displayName":"TOMA Naruaki","photoUrl":"","userId":"11747312442870110137"}},"outputId":"38d03b60-39f3-4d65-e32c-b2699f22feb2"},"source":["#複数のグラフを1つに描画\n","plt.scatter(x, y, color=\"black\", label=\"dataset\")\n","plt.xlabel('x')\n","plt.ylabel('y')\n","plt.plot(x2, y2, color=\"blue\", linewidth=3, label=\"plot example\")\n","plt.legend(loc=\"best\")\n","plt.show()"],"execution_count":5,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAX4AAAEGCAYAAABiq/5QAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO3de5zN1f748dfbmImJIiYpzKikhHEZUbrQCRUninNOUlFK9etyvk5JkpQooVK6iI4k0j3pckqnk64qpFNCSS6NQy4plyFj5v37Y+3tM5sZ5rL3/uzL+/l47Ie1Pvv2HjPznrXXZ33eS1QVY4wxyaOS3wEYY4yJLkv8xhiTZCzxG2NMkrHEb4wxScYSvzHGJJnKfgdQGrVr19asrCy/wzDGmLiycOHCTaqase/xuEj8WVlZLFiwwO8wjDEmrojI6uKO21SPMcYkmYiO+EVkFbANKAD2qGqOiBwBvABkAauAv6rqlkjGYYwxxhONEX9HVW2hqjmB/m3A+6raCHg/0DfGGBMlfszxdwc6BNrPAHOBwWV9kfz8fHJzc9m1a1f4IjPlVqVKFerVq0dqaqrfoRhjDiLSiV+BOSKiwJOqOgmoo6rrAvevB+oU90QRGQAMAGjQoMF+9+fm5lK9enWysrIQkYgEb0pHVdm8eTO5ubk0bNjQ73CMMQcR6ame01W1FXAecL2InFn0TnUV4oqtEqeqk1Q1R1VzMjL2W43Erl27qFWrliX9GCAi1KpVyz59GRMnIpr4VXVt4N8NwGvAKcAvIlIXIPDvhvK+viX92GHfC2PC69lnYeZM2L07/K8dscQvIoeKSPVgG+gMLAZmA30DD+sLvB6pGIwxJh7l58PgwXDJJdCgASxeHN7Xj+SIvw7wiYj8F/gSeEtV3wFGA51EZDlwTqCfUDp06HDQC87uvffeKEVTftWqVfM7BGOS0qxZsG6d1z/hhPC+fsQSv6r+pKrZgdvJqjoqcHyzqv5JVRup6jmq+mukYohl8ZD4jTH+eOwxrz1gAKSlhff17crdclq1ahUnnngiffr04aSTTqJXr17k5eXt97iZM2fSrFkzmjZtyuDBbtXqbbfdxs6dO2nRogV9+vTZ7zlz5szh1FNPpVWrVvzlL39h+/btrF69mkaNGrFp0yYKCws544wzmDNnDgA9evSgdevWnHzyyUyaNGnv61SrVo1BgwZx8sknc8455/Dll1/SoUMHjj32WGbPng3A1KlT6d69Ox06dKBRo0bcfffdxX69Y8eOpU2bNjRv3pzhw4dX+P/PGFO8xYvhww9dOyUFrrkmAm+iqjF/a926te5ryZIle9sQuVtJVq5cqYB+8sknqqp6xRVX6NixY1VV9ayzztL58+fr2rVrtX79+rphwwbNz8/Xjh076muvvaaqqoceemixr7tx40Y944wzdPv27aqqOnr0aL377rtVVXXy5Mnaq1cvHTNmjA4YMGDvczZv3qyqqnl5eXryySfrpk2bAv8v6Ntvv62qqj169NBOnTrp7t279euvv9bs7GxVVX366af1qKOO0k2bNu19/vz580NifPfdd/Xqq6/WwsJCLSgo0K5du+qHH354wO+JMaZ8rrvOyz89e1bstYAFWkxOtRF/BdSvX5/27dsDcOmll/LJJ5+E3D9//nw6dOhARkYGlStXpk+fPnz00UcHfM3PP/+cJUuW0L59e1q0aMEzzzzD6tWuztJVV13F1q1bmThxIuPGjdv7nEceeYTs7GzatWvHzz//zPLlywFIS0vj3HPPBaBZs2acddZZpKam0qxZM1atWrX3+Z06daJWrVpUrVqViy66aL+vY86cOcyZM4eWLVvSqlUrli1btvc9jDHhs3WrW80TdP31kXmfuKjOGav2XcIYjiWNqkqnTp2YOXPmfvfl5eWRm5sLwPbt26levTpz587l3//+N/PmzSM9PZ0OHTrsXU+fmpq6N6ZKlSpxyCGH7G3v2bOn1F+HqjJkyBCuichnTmNM0LRpsH27azdpAh06ROZ9EmLEH8nJngNZs2YN8+bNA+C5557j9NNPD7n/lFNO4cMPP2TTpk0UFBQwc+ZMzjrrLMAl5fz8/P1es127dnz66af8+OOPAOzYsYMffvgBgMGDB9OnTx9GjBjB1VdfDcDvv/9OzZo1SU9PZ9myZXz++edl/v977733+PXXX9m5cyezZs3a+ykmqEuXLkyZMoXtgZ/ItWvXsmFDuS+/MMYUQzX0pO7110OkLo+xEX8FNG7cmMcee4wrr7ySJk2acN1114XcX7duXUaPHk3Hjh1RVbp27Ur37t0BGDBgAM2bN6dVq1bMmDFj73MyMjKYOnUqvXv35o8//gBg5MiRrFu3jvnz5/Ppp5+SkpLCK6+8wtNPP80ll1zCxIkTOemkk2jcuDHt2rUr89dxyimn0LNnT3Jzc7n00kvJyckJub9z584sXbqUU089FXAnjadPn86RRx5Z5vcyxhTv/fdh2TLXrl4dLrsscu8lerBhbQzIycnRfdfFL126lJNOOsmniNyqnm7durE43FdWRNnUqVNZsGABjz76aIVfy+/viTHxrHt3CCy24/rrIQy/kojIQvUqI++VEFM9xhgTz1auhDfe8Po33hjZ97OpnnLKysqK+9E+QL9+/ejXr5/fYRiT1B5/3Dun2LkzNG4c2fezEb8xxvhoxw546imvH+nRPljiN8YYX82YAb/95trHHgvnnRf597TEb4wxPlGFCRO8/g03uDINkWaJ3xhjfDJ3rldyOT0drrgiOu9riT9M7rrrrpAyCvuaNWsWS5YsCet7rlq1iueeey6sr2mMiZ6HH/bal18ONWpE530t8UeJJX5jTFE//eSt2we46abovXfSJP4ZM2aQlZVFpUqVyMrKCrlatrxGjRrFCSecwOmnn873338PwOTJk2nTpg3Z2dn07NmTvLw8PvvsM2bPns2gQYNo0aIFK1asKPZxAC+99BJNmzYlOzubM890WxQXFBQwaNCgvWWRn3zyScCVd/74449p0aIFDz30UIW/HmNM9EyY4C3h7NIFonrtY3ElO2PtdrCyzAczffp0TU9PD27sroCmp6fr9OnTS/0a+1qwYIE2bdpUd+zYob///rsed9xxOnbs2L0lkVVVhw4dqo888oiqqvbt21dfeumlvfeV9LimTZtqbm6uqqpu2bJFVVWffPJJveeee1RVddeuXdq6dWv96aef9IMPPtCuXbuW+2sINyvLbEzpbN2qethhXlWwQPX0sCOZyzIPHTp0v01S8vLyGDp0aLlf8+OPP+bCCy8kPT2dww47jAsuuACAxYsXc8YZZ9CsWTNmzJjBd999V+zzS3pc+/bt6devH5MnT6agoABwZZGnTZtGixYtaNu2LZs3b7ayyMbEsalTXQlmcBdrdekS3fdPiit316xZU6bjFdGvXz9mzZpFdnY2U6dOZe7cuWV63MSJE/niiy946623aN26NQsXLkRVmTBhAl32+eko6bWNMbGrsBAeecTr33QTVIryEDwpRvwNGjQo0/HSOPPMM5k1axY7d+5k27ZtvBEotLFt2zbq1q1Lfn5+yHmE6tWrs23btr39kh63YsUK2rZty4gRI8jIyODnn3+mS5cuPPHEE3vLOP/www/s2LFjv9c0xsS+t9+GQNV1Dj/creaJtqRI/KNGjSI9PT3kWHp6OqNGjSr3a7Zq1Yq//e1vZGdnc95559GmTRsA7rnnHtq2bUv79u058cQT9z7+4osvZuzYsbRs2ZIVK1aU+LhBgwbt3aP3tNNOIzs7m6uuuoomTZrQqlUrmjZtyjXXXMOePXto3rw5KSkpZGdn28ldY+LEgw967auvhmrVoh9D0pRlnjFjBkOHDmXNmjU0aNCAUaNGFbvRuSk/K8tszIF9/TW0bOnaKSluSWcFJh4OqqSyzEkxxw/Qp08fS/TGGF8V/WDeq1dkk/6BJMVUjzHG+G3dOii6lfY//uFfLHGd+ONhmipZ2PfCmAN77DEIbrPdvj2ccop/scRt4q9SpQqbN2+2hBMDVJXNmzdTpUoVv0MxJibl5cHEiV5/4ED/YoE4nuOvV68eubm5bNy40e9QDO4Pcb169fwOw5iY9OyzsHmzazdsCD16+BtP3Cb+1NRUGjZs6HcYxhhzQIWF8MADXv+mm6JTc/9A4naqxxhj4sEbb0CwwkqNGtC/v7/xgCV+Y4yJqKLbdFx7LVSv7l8sQZb4jTEmQj7/HD75xLVTU6OzkXppRDzxi0iKiCwSkTcD/YYi8oWI/CgiL4hIWqRjMMYYPxSd27/kEjj6aP9iKSoaI/6/A0uL9O8HHlLV44EtQAzMeBljTHj99BO8+qrXv/lm/2LZV0QTv4jUA7oCTwX6ApwNvBx4yDOAzwubjDEm/B580K3oAVdvv1kzf+MpKtIj/vHArUDgy6cW8Juq7gn0c4FjIhyDMcZE1caNMGWK17/lFv9iKU7EEr+IdAM2qOrCcj5/gIgsEJEFdpGWMSaePPoo7Nzp2q1awZ/+5G88+4rkiL89cIGIrAKex03xPAzUEJHghWP1gLXFPVlVJ6lqjqrmZGRkRDBMY4wJnx07XOIPuvVWEPEvnuJELPGr6hBVraeqWcDFwH9UtQ/wAdAr8LC+wOuRisEYY6JtyhT49VfXbtgQevb0N57i+LGOfzDwDxH5ETfn/08fYjDGmLDLzw9dwnnLLVA5BgvjRCUkVZ0LzA20fwJ8LEhqjDGR8dJLsHq1a9euDf36+RpOiezKXWOMCQNVGD3a699wA+yz1XfMsMRvjDFh8NZb8O23rn3oobFTnqE4lviNMaaCVOG++7z+NdfAEUf4F8/BWOI3xpgK+vhj+Owz105N9Xc/3dKwxG+MMRVUdLR/+eVwTIzXI7DEb4wxFbBoEbzzjmuLuAu2Yp0lfmOMqYCio/1eveCEE/yLpbQs8RtjTDktWwYvv+z1hwzxL5aySPjEv3Kl3xEYYxLV6NFuRQ/A+edDy5b+xlNaCZv4P/0Uzj0Xjj/e2+jYGGPCZeVKmD7d699xh3+xlFXCJv4RI+Ddd91GCEXn4IwxJhzGjIGCAtfu2BFOPdXfeMoiYRP/sGFe+9lnbcrHGBM+a9eGbrQST6N9SODEf/rp0KGDa+/ZE1pDwxhjKuKBB2D3btdu186N+ONJwiZ+gDvv9NpPPw0//+xfLMaYxPDLLzBxotcfOjT2Nlo5mIRO/B06QPv2rp2f7+bkjDGmIsaN87ZVbNkSunb1N57ySOjELxI61z95Mqxb5188xpj4tnEjPP6417/zzvgb7UOCJ36Azp2hTRvX/uMPGDvW33iMMfHrwQchL8+1s7Ohe3d/4ymvhE/8IqFz/U88AevX+xePMSY+bd4cuon6sGHxOdqHJEj84ObgWrVy7V27bK7fGFN2Dz0E27e7dtOmcOGF/sZTEUmR+EXgrru8vo36jTFlsXkzPPyw1x82DCrFcfaM49DLpls3G/UbY8rngQe80X6TJtCzp7/xVFTSJH4b9RtjymPTJpgwwesPHw4pKf7FEw5Jk/hh/1H//ff7G48xJvaNGxc6t9+rl7/xhENSJf7iRv1r1/oWjjEmxm3cGLqSZ/jw+J7bD0qAL6FsunULXddvlTuNMSUZOxZ27HDt5s3hoov8jSdcki7xi7iSzUGTJ8OaNf7FY4yJTevXJ+ZoH5Iw8QN06QKnnebau3fDyJH+xmOMiT333efV5GnRAnr08DeecErKxC8C99zj9Z9+Gn76yb94jDGxZc2a0AqcI0cmzmgfkjTxA5x9dmi9/rvv9jUcY0wMGTkytN7++ef7G0+4JW3ih9BR//TpsGSJf7EYY2LDjz+G7q41alT81uQpSVIn/tNPdxuyg9ubt2gxN2NMchoxInQv3bPP9jeeSEjqxA+hJ3ZfeQUWLPAvFmOMvxYvdp/+g4rOCiSSiCV+EakiIl+KyH9F5DsRuTtwvKGIfCEiP4rICyKSFqkYSqN169Ar8YYO9S8WY4y/7rgDVF37/PO9HfwSTSRH/H8AZ6tqNtACOFdE2gH3Aw+p6vHAFqB/BGMolREjvDP2c+bA3Lm+hmOM8cG8efD6615/1Cj/Yom0iCV+dQIVLkgN3BQ4G3g5cPwZwPfVsSedBH37ev3bb/f+6htjEp+q+70P6t3brd1PVBGd4xeRFBH5GtgAvAesAH5T1T2Bh+QCx5Tw3AEiskBEFmzcuDGSYQLuqry0wKTTvHkwe3bE39IYEyPee8/7pF+5cujV/YkooolfVQtUtQVQDzgFOLEMz52kqjmqmpORkRGxGIMyM+G667z+kCFufb8xJrEVFrrf96D+/eH44/2LJxqisqpHVX8DPgBOBWqISOXAXfWAmKmPOXQoVK/u2kuXwrRp/sZjjIm8F1+Er75y7SpV3O5aiS6Sq3oyRKRGoF0V6AQsxf0BCK6j6Qu8XvwrRF9GBgwa5PWHD/dqdRhjEs/u3aEr+f7v/+CYYiefE0skR/x1gQ9E5BtgPvCeqr4JDAb+ISI/ArWAf0YwhjIbOBDq1HHt3NzQ6nzGmMTy5JNena4jjoDBg/2NJ1pE42D5Sk5Oji6I4pVVjz8O11/v2jVqwIoV7ofCGJM4tm6F445zWyuC21f3H//wN6ZwE5GFqpqz7/Gkv3K3OFdf7Z3c+e03uPdef+MxxoTf2LFe0s/M9AZ7ycASfzFSU0N35powAVau9C8eY0x4/e9/8OCDXv+ee+CQQ/yLJ9os8ZegZ09XjhX2PwFkjIlvd94JeXmunZ0Nffr4G0+0WeIvgQiMG+f1Z860Am7GJIJvvgktuzxuXGJtslIaSfbllk379nDhhV7/lluslIMx8e7WW73f4/POg3PO8TceP1jiP4jRoyElxbU//NBKORgTz959193AjfLHjPE3Hr9Y4j+IE04ILeUwaJC3JZsxJn4UFIReoNm/PzRt6l88frLEXwrDh8Phh7v28uVunb8xJr5MmQLffuvahx6a+IXYDsQSfynUrh26LeOIEfDrr/7FY4wpm99/D12ZN3gwHHWUf/H4zRJ/KV1/vbvKD2DLluQeLRgTb+69F4LV3evXdws1kpkl/lI65BB3pV/QY4/BsmX+xWOMKZ0VK2D8eK9///1Qtap/8cQCS/xl0KMHnHWWa+/Zk3h1PYxJRLfe6i3IaNcOLr7Y33higSX+MhBxIwcR1//Xv+Ctt/yNyRhTsg8+gFdf9fpFf3+TmSX+MmrRwhVxCxo40JZ3GhOL9uyBm27y+n36QNu2/sUTSyzxl8PIkaHLOydM8DceY8z+nnwSFi927UMPdXP7xjlo4heRG0WkZjSCiRcZGW5tf9CIEbB+vX/xGGNCbdoUuoXi0KHJsbNWaZVmxF8HmC8iL4rIuSI2QwZueWfjxq69dSvcdpu/8RhjPMOGuWXX4JZhDxzobzyx5qCJX1XvABrhtkjsBywXkXtF5LgIxxbT0tLgkUe8/jPPwGef+RePMcZZtAgmTfL6Dz7oNlE3nlLN8avbn3F94LYHqAm8LCJJWuLI6dw5tHrnDTe4eiDGGH8UFrpP44WFrt+5M/z5z/7GFItKM8f/dxFZCIwBPgWaqep1QGugZ4Tji3lFRxOLFsHkyf7GY0wymzYN5s1z7dRUt/DCJqf3V5oR/xHARaraRVVfUtV8AFUtBLpFNLo4kJUFQ4Z4/dtv9/bxNMZEz5Yt7mKtoFtucdV1zf5KM8c/XFVXl3Df0vCHFH8GDYKGDV17yxY70WuMH4YNC63HY9ullszW8YdB1aqhJ3r/+U/49FP/4jEm2Xz1FTzxhNcfP96t3TfFs8QfJt26QffuXv+669yVg8aYyCoogGuvDT2hW3TRhdmfJf4wevhhSE937W+/tSt6jYmGJ5+E+fNd+5BD4NFH7YTuwVjiD6PMzNANW+68E3Jz/YvHmES3fn3o4oohQ6BRI//iiReW+MNs4EBo0sS1t28PLRJljAmvm292V86DS/iDB/sbT7ywxB9maWmhJ5leew1ef92/eIxJVO+9B8895/Uff9yu0C0tS/wRcOaZ0L+/17/hBti2zb94jEk0eXnuhG5Q795wzjn+xRNvLPFHyJgxcOSRrp2bG1op0BhTMXffDT/95No1argr6E3pWeKPkCOOgIce8voTJngrD4wx5ff11/DAA15/3Dg46ij/4olHEUv8IlJfRD4QkSUi8p2I/D1w/AgReU9Elgf+Tdha/717uzXF4NYY9+9vu3UZUxEFBW4HvGAxxA4d4MorfQ0pLkVyxL8HuFlVmwDtgOtFpAlwG/C+qjYC3g/0E5IITJwYurZ/TFLXMzWmYh55BBYscO1DDnFr+G3NftlFLPGr6jpV/SrQ3gYsBY4BugPPBB72DNAjUjHEgoYN3VaNQffcA0uW+BePMfHqxx9D6+/ccYcVYSuvqMzxi0gW0BL4AqijqusCd63H7fBV3HMGiMgCEVmwMVh5KU7ddBOccopr794NV11ldfuNKYvCQjfFs3On6zdvbmv2KyLiiV9EqgGvAP+nqluL3hfY4EWLe56qTlLVHFXNycjIiHSYEZWS4gq3paa6/rx5Vs7BmLKYNAnmznXtlBSYMsX7fTJlF9HELyKpuKQ/Q1VfDRz+RUTqBu6vC2yIZAyxomnT/ev2L1/uXzzGxIs1a1zp86BBg6B1a//iSQSRXNUjuH16l6pq0VW2s4G+gXZfIGmuax06FJo1c+2dO91qhGBFQWPM/lTd1Oj27a7fuDEMH+5vTIkgkiP+9sBlwNki8nXgdj4wGugkIsuBcwL9pJCWBlOnuo+qAJ984ioJGmOKN3myK80AbvXOlClWliEcxE2zx7acnBxdEFzDlQCGDfNW+lStCt98A8cf729MxsSaVavcJ+TgaP/mm93FWqb0RGShqubse9yu3PXBsGGhUz59+9oqH2OKKix0U6HBpH/iiW4ptAkPS/w+CE75VK7s+p99ZiMZY4p67DH44APXrlTJ/b5UreprSAnFEr9PWrUK3bRl2DA35WNMslu2DG691evfeiu0betfPInIEr+PhgyBNm1cOz8fLrsM/vjD35iM8VPw92DXLtdv1gzuusvXkBKSJX4fVa4M06Z5qxS++caWqpnkNnKkV4snLQ2mT3c1eUx4WeL32Yknwv33e/0xY7wrFI1JJl9+CaNGef2RI11pBhN+lvhjwA03QKdOrq3qPupu2eJvTMZE07Zt0KePt7rtzDPhH//wN6ZEZok/BgRXLdSq5fq5uXDdde6PgDHJ4KabXPVNgOrV4ZlnvAsdTfhZ4o8RRx/trlIMeuEFePZZ/+IxJlqef94NfIImToSsLL+iSQ6W+GPIhRe6uiRB/+//wQ8/+BePMZG2alXopumXXQaXXOJbOEnDEn+Meeghb3OJHTvg4ottiadJTPn5bl7/999d/9hjrXZVtFjijzHVqrmPvmlprr9oEdyWsJtTmmQ2fLi7ah3cfP6MGXDYYf7GlCws8cegli1h7FivP348vPmmf/EYE27vvgv33ef1R46Edu38iyfZWOKPUTfeCH/+s9e//HJYvdq/eIwJl3Xr3Fx+UOfOoSUaTORZ4o9RIvD001Cvnutv2QJ/+5vbs9eYeLVnj5vXD26jfdRRbvVaJctEUWX/3TGsVi23rDNYxfOLL2yDaRPf7rzTq7op4ub1jzzS35hi0YwZM8jKyqJSpUpkZWUxY8aMsL6+Jf4Yd9ppMLrIHmXjx8Orr5b8eGNi1Ztvhs7rDx8OZ5/tXzyxasaMGQwYMIDVq1ejqqxevZoBAwaENfnbDlxxQNWt8X89sDtx9eowf77bf9SYeLBypStF/ttvrt+lC7z9tk3xFCcrK4vVxZzQy8zMZNWqVWV6LduBK44F5/sbNnT9bdvgoou83YmMiWU7d0KvXl7Sr1/fVd20pF+8NWvWlOl4edh/fZyoWRNeecUr4bxkCfTvb/V8TGxTdVfmfvWV66emwksvQe3a/sYVyxo0aFCm4+VhiT+OtGzp6pgEvfiiu9LXmFj12GNuz4mg8eNtN62DGTVqFOnp6SHH0tPTGVW0ZnUFWeKPM337usqdQYMGwb//7V88xpTk449h4ECv369f6M+uKV6fPn2YNGkSmZmZiAiZmZlMmjSJPn36hO097ORuHNq9Gzp0gHnzXL9mTbeJxfHH+xqWMXv9/LPbVvSXX1w/J8f9IQhOVZrosJO7CSQtzc33H32062/ZAt27u5O+xvhtxw738xhM+rVrh56fMv6zxB+n6taF117z9iNdsgQuvRQKC/2NyyS3wkI3pbNoketXrgwvvwxhPC9pwsASfxw75RSYNMnrz54NQ4b4F48x99zjEn3Q44/DWWf5F48pniX+OHf55XDzzV5/zBiYMsW/eEzymjkT7rrL6994I1x9tW/hmAOwxJ8A7r8/tJLnNdfA3Lm+hWOS0KefuimeoHPOgQcf9C0ccxCW+BNASgo89xxkZ7v+nj3uyt5ly/yNyySGgxUMW7ECevTwKseedJK7SCtYXNDEHkv8CaJaNXjjDVfmFtxKn/POg/Xr/Y3LxLeDFQzbvBm6doVNm9zjMzLgrbegRg0fgzYHZYk/gdSv75J/8KK/VaugWze3vM6Y8hg6dCh5eXkhx/Ly8hg6dCg7d8IFF8D337vjVaq4BQbBmlImdkUs8YvIFBHZICKLixw7QkTeE5HlgX9rRur9k1VOjivlECyAtXAh/PWvbmNrY8qqpMJgq1fncskl3p65Iq40g22fGB8iOeKfCpy7z7HbgPdVtRHwfqBvwqxrV7eMLujtt93qimhcpB3pDSRMdJVUGKxatSnMmuX1H3oI/vKXKAVlKk5VI3YDsoDFRfrfA3UD7brA96V5ndatW6spu9tvV3Xp3t0GDYrs+02fPl3T09MV2HtLT0/X6dOnR/aNTcQU9z2tXHlkVH+uTPkBC7S43FzcwXDdikn8vxVpS9H+gW6W+MunsFC1f//Q5D9mTOTeLzMzMyRBBG+ZmZmRe1MTcdOnT9fMzEwVEa1Z866Qn6fevVULCvyO0JSkpMQf0SJtIpIFvKmqTQP931S1RpH7t6hqsfP8IjIAGADQoEGD1sXtSGMObs8e9xG86MfyJ5+EAQPC/16VKlWiuJ8nEaHQaknEvWnTXHXYoHPPdX176q8AAA39SURBVLvCpaX5F5M5sFgp0vaLiNQNBFQX2FDSA1V1kqrmqGpORkZG1AJMNJUruzX+Z57pHbv2WrcDUrhFYwMJ449XX4Urr/T6p53mCq9Z0o9P0U78s4HgmKEv8HqU3z8pVa3qltnlBP7uq7qrLF97LbzvE40NJEz0vfkmXHwxFBS4fvPm7tg+32oTRyK5nHMmMA9oLCK5ItIfGA10EpHlwDmBvomCww+Hd96Bpk1dv6AA/vY3t+4/XKKxgYSJrjlzoGdPbznwCSfAu++6PSBM/LKNWJLM+vVu2mf5ctdPTXUf47t18zcuE3vef9/VgNq50/WPPRY++giOOcbfuEzpxcocv/HZUUe5X+hjj3X9/Hw3onvrLX/jMrFlzhw3GAgm/fr14T//saSfKCzxJ6H69eGDD7xL63fvdkXdXrczLgY3JXjBBbBrl+vXq+eSfmamv3GZ8LHEn6QaNHClm4sm/5494YUXfA3L+Gz2bLdt4h9/uH6DBvDhh7afc6KxxJ/Egsn/uONcv6AALrkEpk71Myrjl+eec5/8guWVs7Jc0g9OC5rEkbCJ32rGlE6DBu6E3UknuX5hIVxxBYwf729cJromTnR7NgeXbB53nBsUZGX5GZWJlIRM/AerIW5CHX20G9m1aOEdGzgQbr89OoXdjH9UYeRIuO4673vdtCl8/LHN6SeyhFzOmZWVRXElHjIzM1m1alUYI0ssW7a45Xuffuodu+oqeOIJ200pERUUuH1xn3jCO9amjTu5e8QR/sVlwieplnOWVEO8pOPGqVnTW8YX9NRT7mTf9u3+xWXCb+dOV8OpaNI/+2y31NeSfuJLyMRvNWPKLz3dXdBVtBjX22+7i77+9z//4jLh88sv0LFjaMmO3r3hX/+C6tX9i8tET0ImfqsZUzGpqTBlCgwd6h1btMjtrvTNN/7FZSruu+/c9/GLL7xjN9/sivZZwbXkkZCJ32rGVFylSu6k3+TJkJLijv38s6vKGO7ibiY63nnHff+Cp7kqVYKHH4Zx47ytOk1ySMiTuya83n3XzQdv2+YdGzEC7rjD7bVqYpsqjBkDQ4Z4K3eqVYPnn3fbdJrElVQnd014dekCn3/uXegFcOed7krf33/3Ly5zcDt2uJLKt93mJf169eCTTyzpJzNL/KZUmjRx88IdO3rHXnvNLf9bvNi/uEzJli6Ftm3hxRe9Y2ecAQsWQHa2f3EZ/1niN6VWq5ab9rnpJu/Y8uUuuUyb5l9cZn8zZ7o/yt995x27/nr497+hTh3/4jKxwRK/KZPUVHdC8LnnvB2Y8vLc8s/LLgs9D2Cib8cOuOYaV3Npxw53rEoVt0rr0Udt5Y5xLPGbcundG778Eho39o5Nnw6tWsH8+f7FlcwWLYLWrWHSJO9Yo0Zuiu6KK/yLy8QeS/ym3E4+2c0X9+vnHfvxRzj1VLjrLm+7PhNZBQVu1U7btvD9997xv/7VfX+aN/cvNhObLPGbCqlWDZ5+2o32q1VzxwoK4O673R+AonPMJvyWLYP27WHwYO8P7aGHuqmd55+Hww7zNz4Tmyzxm7Do0wf++184/XTv2MKF0LKlG/0HN/Yw4ZGfD/ff7yqqFr0Kt00bN+VzxRV2jYUpmSV+EzbHHutquI8Z451EzM93o/9WrUKrfprymzfPzeXfdpv3BzU1FUaNgs8+c/P6xhyIJX4TVikpMGgQfPWVm3MOWrLEfRro2xfWr/cvvni2caNbsdO+PXz7rXe8ZUv36er22618tikdS/wmIk4+2Y3wH37YzTkHTZvmVgI98IBN/5RWfr7bEa1RI7diJ3gFbno6jB3rpnqaNfM3RhNfLPGbiElJcRd7LVni9nIN2roVbrnFbff4/PO2y1dJVOHll92OWAMHhpbHOP98d+L8llvcNI8xZWGJ30Rcgwbwyivuqt8TTvCOr1zprgfIyYG33rI/AEGq7grbtm1dcbwffvDuO/54eOMNePNN2w/XlJ8lfhM1nTu7uenx40N3efrqK7frV7t2yf0HQNVthtK+PXTqFHoh3OGHu5Pm333n/q9sxY6pCEv8JqrS0uDvf4cVK+DWW105gaAvv3RJrXlzdy5g927/4oym/HxXAiMnx03hzJvn3XfIIW46Z8UKd9LcSi6YcLDEb3xRo4Zbh/7TT+4PwSGHePctXuxW/2RluWsAEnXLx19+gfvug4YN3XUQX33l3ZeWBtde64rgjR3rCuQZEy62EYuJCWvXupU+kyZ5xcWCUlLgggtcaYjzzovvk5l79rgNzSdPhtdfd/2iqlSBAQPc6L5ePX9iNImjpI1YLPGbmLJlCzzxBEyYUPx6/4wMt7FIr15uLjy4LWQsKyx001gzZ8ILL7iR/r7q1IEbbnCj/Nq1ox+jSUyW+E1c2b0bZs2Cxx6Djz4q/jF16rhPAuedB3/6U2zVpdm2DT78EGbPdqtwSrpo7fTT3Qj/r38Nne4yJhws8Zu4tXSpO9n77LNuSqg4lSu75Y9nnOGS6amnhq4cirRff3UXUs2bB//5j2vvO40TVLeu+9Ry1VVuZzNjIiWmEr+InAs8DKQAT6nq6AM93hK/AVf1c+5cd1HTa68VP2VSVFaWK2fQvLm7fqBRI7dvcM2a5VsOqeoS/MqV7qT0kiXuRPQ337iTsAdSu7b7dHLJJdChQ3xMUZn4FzOJX0RSgB+ATkAuMB/orapLSnqOJX6zr4ICN7r+17/gnXdCV8QcTJUqbtRdp45bH3/YYa6kdOXKUCmwzm3XLrez2I4dsGmTq5OzYcP+J54PJDvbrcfv3t19ArFkb6ItlhL/qcBdqtol0B8CoKr3lfQcS/zmYDZsgE8+cbePP3YloqO5EUxqqiuR3K6dO+ncsSMceWT03t+Y4pSU+P2o5XcM8HORfi7Qdt8HicgAYABAgwYNohOZiVtHHunqAQVrAu3e7c4NLFrk/l2+3N1WrizbqH1f1aq5dfeZmXDiia6OTtOmrihd0YvRjIllMVvEVVUnAZPAjfh9DsfEmbQ0N9WSnb3/fdu2wbp17lPC1q3utn27W3YZvFWt6m7p6e7iqYwMd6tRw8olmPjnR+JfC9Qv0q8XOGZMVFSv7m5FC8YZk0z8KNkwH2gkIg1FJA24GJjtQxzGGJOUoj7iV9U9InID8C5uOecUVbUtuY0xJkp8meNX1beBt/14b2OMSXZWndMYY5KMJX5jjEkylviNMSbJWOI3xpgkExfVOUVkI7C6nE+vDWwKYzjRZLH7I15jj9e4wWKPlExVzdj3YFwk/ooQkQXF1aqIBxa7P+I19niNGyz2aLOpHmOMSTKW+I0xJskkQ+Kf5HcAFWCx+yNeY4/XuMFij6qEn+M3xhgTKhlG/MYYY4qwxG+MMUkmoRO/iKSIyCIRedPvWMpCRGqIyMsiskxElga2q4wLIjJQRL4TkcUiMlNEYnZfKhGZIiIbRGRxkWNHiMh7IrI88G9NP2MsSQmxjw38zHwjIq+JSA0/YyxJcbEXue9mEVERqe1HbAdTUuwicmPg//47ERnjV3ylldCJH/g7sNTvIMrhYeAdVT0RyCZOvgYROQa4CchR1aa4stsX+xvVAU0Fzt3n2G3A+6raCHg/0I9FU9k/9veApqraHPgBGBLtoEppKvvHjojUBzoDa6IdUBlMZZ/YRaQj0B3IVtWTgXE+xFUmCZv4RaQe0BV4yu9YykJEDgfOBP4JoKq7VfU3f6Mqk8pAVRGpDKQD//M5nhKp6kfAr/sc7g48E2g/A/SIalClVFzsqjpHVfcEup/jdreLOSX8vwM8BNwKxOyKkxJivw4Yrap/BB6zIeqBlVHCJn5gPO6HqNDvQMqoIbAReDowTfWUiBzqd1CloaprcaOdNcA64HdVneNvVGVWR1XXBdrrgTp+BlMBVwL/8juI0hKR7sBaVf2v37GUwwnAGSLyhYh8KCJt/A7oYBIy8YtIN2CDqi70O5ZyqAy0Ap5Q1ZbADmJ3uiFEYD68O+6P19HAoSJyqb9RlZ+6tc4xO/osiYgMBfYAM/yOpTREJB24HbjT71jKqTJwBNAOGAS8KCLib0gHlpCJH2gPXCAiq4DngbNFZLq/IZVaLpCrql8E+i/j/hDEg3OAlaq6UVXzgVeB03yOqax+EZG6AIF/Y/5je1Ei0g/oBvTR+LlI5zjcYOG/gd/ZesBXInKUr1GVXi7wqjpf4mYZYvLkdFBCJn5VHaKq9VQ1C3dy8T+qGhcjT1VdD/wsIo0Dh/4ELPExpLJYA7QTkfTAiOdPxMmJ6SJmA30D7b7A6z7GUiYici5uevMCVc3zO57SUtVvVfVIVc0K/M7mAq0CvwvxYBbQEUBETgDSiN1qnUCCJv4EcCMwQ0S+AVoA9/ocT6kEPqW8DHwFfIv7+YrZy9lFZCYwD2gsIrki0h8YDXQSkeW4TzCj/YyxJCXE/ihQHXhPRL4WkYm+BlmCEmKPCyXEPgU4NrDE83mgb6x/2rKSDcYYk2RsxG+MMUnGEr8xxiQZS/zGGJNkLPEbY0ySscRvjDFJxhK/McYkGUv8xhiTZCzxG1MOItImUPe+iogcGqjD3tTvuIwpDbuAy5hyEpGRQBWgKq6+0n0+h2RMqVjiN6acRCQNmA/sAk5T1QKfQzKmVGyqx5jyqwVUw9XHidktJo3Zl434jSknEZmNK8rVEKirqjf4HJIxpVLZ7wCMiUcicjmQr6rPiUgK8JmInK2q//E7NmMOxkb8xhiTZGyO3xhjkowlfmOMSTKW+I0xJslY4jfGmCRjid8YY5KMJX5jjEkylviNMSbJ/H957PCw1XVFPgAAAABJRU5ErkJggg==\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]}]}