From ed9745e25bb0d25325d9e20459b4ef385f639023 Mon Sep 17 00:00:00 2001 From: prernarao Date: Wed, 9 Feb 2022 20:16:32 +0530 Subject: [PATCH] Adding charts for paper --- Charts/AryaBota_Charts.ipynb | 329 +++++++++++++++++++++++++++++++++ Charts/Prog_Level.csv | 40 ++-- Charts/Users_ProgExp.ipynb | 346 ----------------------------------- Charts/fig2.tex | 110 +++++++++++ Charts/fig3.tex | 107 +++++++++++ Charts/fig4.tex | 6 +- Charts/fig5.tex | 22 ++- Charts/fig6.tex | 60 ++++++ Charts/langs.png | Bin 9614 -> 37712 bytes Charts/venn2.png | Bin 0 -> 18084 bytes 10 files changed, 635 insertions(+), 385 deletions(-) create mode 100644 Charts/AryaBota_Charts.ipynb delete mode 100644 Charts/Users_ProgExp.ipynb create mode 100644 Charts/venn2.png diff --git a/Charts/AryaBota_Charts.ipynb b/Charts/AryaBota_Charts.ipynb new file mode 100644 index 0000000..95e101b --- /dev/null +++ b/Charts/AryaBota_Charts.ipynb @@ -0,0 +1,329 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 14, + "id": "8ce85508", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib\n", + "import matplotlib_venn\n", + "import tikzplotlib\n", + "import numpy as np\n", + "\n", + "plt.style.use(\"ggplot\")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "b93bae49", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 school\n", + "1 none\n", + "2 both\n", + "3 outside school\n", + "Name: Where The Users Gained Programming Experience, dtype: object\n" + ] + }, + { + "data": { + "image/png": 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BgwZ48OABWrRogcmTJ6Nhw4aWjpGIiCzEpBPDUVFR8PX1RWxsLKKjoxEbGws/Pz9ERUVZOj4iIrIgk4rAjRs3MGLECHEIyMnJCSNGjMCNGzcsGhwREVmWSUXA398f165dM2q7fv06WrZsaZGgiIjIOqo8J7Bt2zbx/15eXli4cCE6dOgApVKJjIwM/PHHH+jRo4dVgiQiIsuosghkZGQYPe7SpQsAIDc3F/Xq1UNQUBBKSkosGx0REVlUlUXAUtNHExHR08Pk3wkUFxfj/v37KCoqMmp/8cUX6zwoIiKyDpOKwOHDhxETEwOFQlHhrl9r1qyxSGBERGR5JhWBb7/9FtOnT0fbtm0tHQ8REVmRSZeIKhQKBAYGWjoWIiKyMpOKwJAhQ7B582bk5uZaOh4iIrIik4aD1Go1tm/fjn379lV47tHfExARkX0xqQisXLkSwcHB6NatW4UTw0REZL9MKgL5+fkYMmSI2beTJCKip4tJRSAkJARHjhxBr1696jyABw8eYO3atfjrr7/g4OCACRMmcE4iIiIrMakIXLt2DXv37sX3338Pd3d3o+fmzZtnVgCxsbFo3749pk+fDr1ej+LiYrPWR0REpjOpCPTt2xd9+/at884LCgpw6dIlhIeHPwxGoYBCYfKPmImIyEwmDwdZQlpaGlxdXbF69WrcunULvr6+GDlyZIVbV2q1Wmi1WgBAREQEVCpVrfpLNTti+1bbvJVj/szLn60pFAq73wZbelbzZ1IROHDgQJXP9enTp9adl5WV4ebNmxg9ejT8/f0RGxuL+Ph4DB061Gg5jUYDjUYjPtbpdLXuU8qYN/PYe/5UKpXdb4Mt2Xv+1Gp1pe0mFYFff/3V6HF2djbu37+PgIAAs4qAUqmEUqmEv78/AOCVV15BfHx8rddHREQ1Y1IR+Pzzzyu0HThwAHfv3jWrc3d3dyiVSqSkpECtVuPcuXPw8fExa51ERGQ6k6aNqExISEi1w0SmGj16NFasWIEPP/wQycnJGDRokNnrJCIi05h0JGAwGIwel5SU4MiRI2jQoIHZATRv3hwRERFmr4eIiGrOpCIwbNiwCm2enp54//336zwgIiKyHpOKwKpVq4we169fH66urhYJiIiIrMekItCwYUNLx0FERDZQbRF40pQQDg4OmDNnTp0GRERE1lNtEejZs2el7ZmZmdizZw/n+SEisnPVFoHHfwiWl5eHuLg47N+/H926dcM//vEPiwZHRESWZdI5gYKCAuzcuRP79u1Dhw4dsGjRIjRu3NjSsRE9U8rGvmXT/m0995P8m502joAqU20RKCkpwe7du7Fr1y4EBgbi3//+N1544QVrxUZERBZWbREIDw+HwWDAW2+9BT8/P+Tk5CAnJ8domTZt2lg0QCIispxqi0D5/YR//vnnSp93cHCo8BsCIiKyH9UWgaioKGvFQURENlDrCeSIiMj+sQgQEUkYiwARkYSxCBARSdhTUQQMBgM++ugj3leAiMjKnooi8NNPP8Hb29vWYRARSY7Ni0BGRgYSExPRt29fW4dCRCQ5Js0dZEkbN27EiBEjUFhYWOUyWq0WWq0WABAREQGVSlWrvmw9d4qt1TZv5Zg/5s8c5ubP1hQKhd1vQ2VsWgROnz4NNzc3+Pr64sKFC1Uup9FooNFoxMc6nc4a4T1zmDfzMH/msff8qVQqu94GtVpdabtNi8CVK1dw6tQp/PHHHygpKUFhYSFWrFiByZMn2zIsIiLJsGkRGD58OIYPHw4AuHDhAn788UcWACIiK7L5iWEiIrIdm58YLte6dWu0bt3a1mEQEUkKjwSIiCSMRYCISMJYBIiIJIxFgIhIwlgEiIgkjEWAiEjCWASIiCSMRYCISMJYBIiIJIxFgIhIwlgEiIgkjEWAiEjCWASIiCSMRYCISMJYBIiIJMym9xPQ6XSIiopCdnY2HBwcoNFo8Oabb9oyJCIiSbFpEZDL5XjnnXfg6+uLwsJCfPzxx2jbti18fHxsGRYRkWTYdDjIw8MDvr6+AIDnnnsO3t7eyMzMtGVIRESS8tTcXjItLQ03b95EixYtKjyn1Wqh1WoBABEREVCpVLXqI9WsCO1fbfNWjvlj/sxhbv5sTaFQ2P02VOapKAJFRUWIjIzEyJEj4ezsXOF5jUYDjUYjPtbpdNYM75nBvJmH+TOPvedPpVLZ9Tao1epK221+dZBer0dkZCR69uyJLl262DocIiJJsWkREAQBa9euhbe3N/r372/LUIiIJMmmw0FXrlzBkSNH0LRpU8yYMQMAMGzYMHTo0MGWYRERSYZNi0BAQAC2b99uyxCIiCTN5ucEiIjIdlgEiIgkjEWAiEjCWASIiCSMRYCISMJYBIiIJIxFgIhIwp6KuYOIiJ6kbOxbNu3/aZgAUP7NzjpfJ48EiIgkjEWAiEjCWASIiCSMRYCISMJYBIiIJIxFgIhIwlgEiIgkjEWAiEjCbP5jsTNnziA2NhYGgwF9+/bFwIEDbR0SEZFk2PRIwGAwYMOGDZg1axaWLl2KY8eO4c6dO7YMiYhIUmxaBK5du4bGjRvDy8sLCoUC3bp1Q0JCgi1DIiKSFJsOB2VmZkKpVIqPlUolkpKSKiyn1Wqh1WoBABEREVCr1bXrcPep2r2OHmL+zMP8mYf5swibHgkIglChzcHBoUKbRqNBREQEIiIirBGWxXz88ce2DsGuMX/mYf7M86zmz6ZFQKlUIiMjQ3yckZEBDw8PG0ZERCQtNi0Cfn5+uHfvHtLS0qDX63H8+HF06tTJliEREUmKTc8JyOVyjB49GgsWLIDBYEDv3r3xwgsv2DIki9JoNLYOwa4xf+Zh/szzrObPQahsYJ6IiCSBvxgmIpIwFgEiIgljEbCQQ4cOYcOGDXWyrvDwcOTm5tbJuujZk5aWhunTp5u8/O7du1FcXCw+fueddywRlk0cOnQImZmZ1S7z888/4/DhwxXaa5rHmsb1tH4esAgQScxPP/1kVASeJYcOHUJWVla1y/zP//wPevXqZaWInn42n0DO3hQVFWHp0qXIzMyEwWDA4MGD0ahRI2zcuBHFxcVQKBSYM2cOACArKwsLFixAamoqgoKCMGLECADA0aNHERcXBwB4+eWXn9j+LEtLS8PChQvx4osv4urVq/D09MRHH32ElJQUfPPNNyguLoaXlxcmTJgAFxcXzJ07Fy1atMCFCxdQUFCA8ePHo1WrVjAYDPjPf/6DixcvorS0FK+99hpeffVVW2+e1ZSVlWHVqlVITk5GkyZNMGnSJFy9ehVbtmxBWVkZ/Pz8MHbsWPzyyy/IzMzEvHnz4Orqis8//xwA8H//939ITEyEo6MjZsyYAXd3dxtv0UO7du3CwYMHAQB9+vRBv379kJaWhkWLFiEyMhIAsHPnThQVFaFp06a4fv06VqxYAUdHRyxYsADfffcdTp06BblcjrZt2+Jf//oXtm/fDicnJ7z11lu4ceMG1qxZA0dHRwQEBIj9mrI/VfZZ0K1bN1y7ds2+Pg8EqpETJ04Ia9asER8/ePBACA8PF5KSksTHer1eOHjwoBAeHi48ePBAKC4uFiZMmCCkp6cLGRkZwvjx44WcnBxBr9cLc+fOFU6ePFlluyAIwsSJE4WcnBybbK+lpaamCkOGDBFu3rwpCIIgREZGCocPHxamT58uXLhwQRAEQdi6dasQGxsrCIIgfP7558KmTZsEQRCE06dPC//+978FQRCEX375RdixY4cgCIJQUlIizJw5U0hNTbXuxthIamqqEBoaKly6dEkQBEGIiooSduzYIYwfP164e/euIAiCsHLlSmHXrl2CIFTcn0JDQ4WEhARBEARhy5YtYh5t7fr168K0adOEwsJCobCwUJg6dapw48YNITU1VZg2bZq43A8//CBs27ZNEISH+8e1a9cEQRCEvLw8YfLkyYLBYBAEQRDy8/MFQRCEbdu2CT/88IMgCILRfrZ582ZxvabsT5V9FpSWltrd5wGHg2qoadOmOHfuHL799ltcunQJOp0OHh4eaNGiBQDA2dkZcrkcANCmTRs4OzvD0dERPj4+0Ol0uH79Olq3bg1XV1fI5XL07NkTly5dqrJdCho1aoTmzZsDAHx9fZGamooHDx4gMDAQANCrVy+jXAQFBYnLpqWlAQDOnj2LI0eOYMaMGZg1axby8vJw7949626IDSmVSvGbbHBwMM6fP49GjRqJ82w9nsNHKRQKdOzYEcDDnKanp1sn6Ce4fPkygoKC4OTkBCcnJwQFBdXoPfHcc8/B0dERa9euxcmTJ1G/fn2j5wsKCoz2s+DgYPE5U/anxz8LnJ2dkZKSYnefBxwOqiG1Wo1FixYhMTER//3vf9GuXbsql61Xr574f5lMhrKyskrnSwIqn0dJKh7P04MHD0xaXiaTwWAwAHiYv1GjRqF9+/aWC/QpVtmcW6aSy+Xi68v306dBVe8JuVwu/t0BoLS0tMrlvvzyS5w7dw7Hjx/H3r17xeGv8vVXlTdT9qfKPgs6d+5c5fJP6+cBjwRqKDMzE46OjggODsaAAQOQlJSErKwsXLt2DQBQWFhY7ZvI398fFy9eRG5uLgwGA44dO4bAwMAq26XI2dkZLi4u4jefI0eOoFWrVtW+pn379vj555+h1+sBACkpKSgqKrJ4rE8LnU6Hq1evAng4lvzSSy8hLS0N9+/fB/Awh+X7k5OTk13kplWrVkhISEBxcTGKioqQkJCAVq1awc3NDbm5ucjLy0NpaSkSExPF1zg5OaGwsBDAwzH7goICdOjQASNHjkRycrLR+hs0aABnZ2dcvnwZAPDrr7+Kz5myPz3+WXDjxg14e3vb3ecBjwRq6Pbt2/j222/h4OAAhUKBMWPGQBAExMbGoqSkBI6Ojvjss8+qfL2HhweGDx+OefPmAXh4wqf820NV7VIUHh4unhhu1KgRJk6cWO3yffr0QVpaGmbOnAkAcHV1xYwZM6wR6lPB29sbhw4dwvr169G4cWOMGjUK/v7+WLJkiXhiuPzEpkajwZdffgkPDw+jb8ZPG19fX4SEhGDWrFkAHv6N//a3vwEABg8ejFmzZhkNeQFASEgIvvnmGzg6OmLWrFlYvHgxSktLIQgC3n333Qp9TJw4UTwx/OhRvSn7U2WfBQqFAh988IFdfR5w2ggiIgnjcBARkYSxCBARSRiLABGRhLEIEBFJGIsAEZGEsQg8QVhYmHit9dMkKioKW7dutXUYT7Vff/0V8+fPt8i6586di/3791tk3fbsnXfeQWpqqq3DsKhp06bhwoULtg6jzkjqdwJxcXG4fPkyPvnkE7Ft8uTJaNKkSYW2IUOGoHv37rYIEzqdDlOnThUfFxcXG/3kvfy66boSHh6O999/H23bthXbDh06hP379+OLL76o075qQq/XIz4+Hr/++isyMzPh7OyMZs2aoV+/ftX+Urtcz5490bNnTytEamz79u2Ii4uDQqGAXC6Hj48P/vWvf6Fly5ZWj8XatmzZYpH1PprTcnK5HBs3brRIf9VZsmSJ1fu0JEkVgVatWiE+Ph4GgwEymQzZ2dkoKyvDjRs3jNru37//xF+o1lRZWZk4h8iTqFQqozdTWFgYvvrqKzRu3FhsO3DgQJ3GZw01yQEAREZGIjMzE5MmTRJ/JHT+/HkkJiaaVARsqWvXrpg8eTL0ej22bt2Kr7/+GuvWraswTUH5flcXappfe1OeU1t5VvMrqSLQokULlJWVITk5Gb6+vrh48SJat26N1NRUozYvLy94enqKr/vzzz/x5ZdfIi8vD927d8d7770nvpkPHDiAH3/8EdnZ2WjRogXGjRuHhg0bAnj44T169Gj89NNPKCsrQ1RUFE6fPo2tW7ciPT0dPj4+GDt2LJo1a1ar7cnPz8fChQtx6dIl+Pj4YPLkyWKhuHv3LmJiYnDjxg24urpiyJAh6NatW636KSkpwdq1a3HmzBkYDAY0adIEM2fOhLu7OwoKCrBp0yb88ccfcHBwQO/evREWFgaZTCYeTfj5+eHw4cN47bXXEBISgjVr1iA5ORkKhQJt2rQxOup5NOd//vknVqxYAaVSKba3b9/eaD6X+Ph47N+/Hzk5OVAqlRg2bJg4wdzjRzNhYWEYM2YMdu3aVeO/5da4XIkAAA0WSURBVJ9//omYmBhkZWUhODjY5LldFAoFevXqhZ07dyIvLw9btmyBo6MjdDodLl68iBkzZsDT0xPR0dFITk6Gp6cnhg8fjk6dOgEA8vLyEBUVhUuXLkGtVqNdu3a4cOGC0TY9vo/Fxsbi999/R0FBARo3boyRI0eKX2q2b9+OO3fuQKFQ4NSpU2jYsCGmT5+OkydPYvfu3ahXrx7Gjx8vFtm5c+ciICAA58+fx61bt9C6dWuEh4cjNjYWp0+fhlqtxtSpU9GoUSMxnhUrVqBx48aIiopC/fr1kZ6eXuk+evbsWcTExCA7Oxs9e/bEX3/9heDgYPTt29ek3Ja7cuUKFi9ejEWLFkGlUiE5ORlz587FggUL4O3tjfDwcGg0Ghw5cgTZ2dno3LkzxowZA0dHRwCo9j0ZHh6OV199FUePHkVKSgq2bNmCyZMni0fOBoMBO3fuxP79+/HgwQO0adMG48aNg4uLC9LS0jBp0iRMnDgR27ZtQ0lJCfr164e3334bwMMvAPHx8Th48CBycnLQpEkTzJgxAyqVqk7fv08iqXMCCoVCnJMDAC5duoSAgAAEBAQYtT1+FJCYmIiFCxfiq6++wokTJ3D27FkAwO+//464uDhMnz4d0dHRCAgIwPLly41em5CQgC+//BJLly4V5y4fN24cYmJioNFoxJ+118axY8cQGhqK2NhYNG7cWDxHUFRUhPnz56NHjx6Ijo7GlClTsGHDBvz111+16ufw4cMoKCjAmjVrEBMTg7Fjx4pvoFWrVkEul2PFihVYvHgxzp49azRWnpSUBC8vL0RHR+Ptt9/G1q1b0a5dO8TGxmLNmjV44403Ku3z3Llz8Pf3NyoAlfHy8sK8efOwceNGhIaGYuXKldXeVKQ2f8vc3FxERkZi6NCh2LBhA7y8vHDlyhWTcldaWopDhw5BqVTC1dUVwMO5fQYNGoRNmzbB398fixYtQtu2bREdHY3Ro0djxYoVSElJAQBs2LABTk5OWL9+PcLDwyu9I9aj+xgA+Pn5YfHixYiJiUGPHj2wZMkSlJSUiMufPn0awcHBiI2Nxd/+9jcsWLAAgiBg7dq1GDx4MNavX2+0/mPHjmHSpElYt24dUlNTMXv2bISEhCAmJgbe3t7YsWNHldtf1T6am5uLJUuWYPjw4YiJiYFarRbnPqqpF198ERqNBlFRUSgpKcGqVaswdOhQeHt7i8scPXoUn376KVauXIl79+7h+++/BwCT3pPHjh3Dxx9/jI0bN1Y4EtizZw8SEhIwd+5crFu3Di4uLoiOjjZa5vLly1i+fDk+++wz7NixA3fu3AHw8F4Jx44dwyeffIJNmzZhwoQJqF+/fp2/f59EUkUAeDgkVD4x2eXLl9GqVasKbY9P1DRw4EA0aNAAKpUKrVu3Fiei0mq1GDRoEHx8fCCXyzFo0CAkJycbTcU7aNAguLi4wNHREfv374dGo4G/vz9kMhlCQkKgUCiQlJRUq23p0qULWrRoAblcjh49eohxJSYmomHDhujduzfkcjl8fX3RpUsX/Pbbb7XqRy6XIz8/H/fv34dMJoOvry+cnZ2RnZ2NM2fOYOTIkXBycoKbmxv69euH48ePi6/18PDAG2+8AblcDkdHRygUCqSnpyMrK6vCjTwelZeXZ3Rjk/z8fIwcORLvvvsu/vnPf4rtXbt2haenJ2QyGbp164bGjRuLk3dVpjZ/yz/++AM+Pj545ZVXoFAo0K9fvyfedOXEiRMYOXIkJkyYgBs3bhjNO9O5c2cEBARAJpMhOTkZRUVFGDhwoHhk1KFDBxw9ehQGgwEnT55EWFgY6tevDx8fn0rviPXoPgY8nBL5+eefh1wux4ABA6DX68WiAgABAQFo37495HI5XnnlFeTm5or9d+/eHenp6UYzufbu3RuNGzeGs7MzXn75ZXh5eaFt27bi62/evFllHqraR8tz2qVLF8jlcrzxxhsm57T8X/m8OgAQGhqKgoICfPLJJ/Dw8MBrr71m9NrXXnsNKpUKLi4uGDRoEI4dOwYAJr0n33jjDahUKjG/j9JqtRg6dCiUSiXq1auH0NBQnDx50mjSuNDQUDg6OqJ58+Zo1qwZbt26JfY9dOhQqNVqODg4oHnz5nj++efr/P37JJIaDgKAwMBA7Nu3D/n5+cjNzUWTJk3g5uaGqKgo5Ofn4/bt2xWKwKM7Z3mlBoD09HTExsZi8+bN4vOCICAzM1McRnj0m6xOp8Phw4exd+9esU2v1z/xnqhVqS6upKQkjBw5Uny+rKzMaL70R1U2fbBerxdPwgUHByMjIwPLli1DQUEBevbsiaFDh0Kn06GsrAzjxo0z2v5Ht1mlUhmtd8SIEdi6dStmzZqFBg0aoH///ujTp0+FmFxcXIzmb3dxccHGjRtx//59o3Hhw4cPY9euXWLhLSoqQl5eXuUJQ+3+lllZWUbb5ODg8MQjlOrGrx99bVZWFlQqldF5gYYNGyIzMxO5ubkoKyszWr6yfh9v+/HHH3HgwAFkZmbCwcEBhYWFRjlxc3MT/+/o6AhXV1ex//IPuqKiIjRo0KDS5R9/XN2MpFXlu7KcPjoEW5nqcqpQKBASEoLY2Fi8++67Fc69PLoflucXMO09+fg+/Kj09HR8/fXXRv3JZDLk5OSIj6vKQUZGBry8vCpdZ03ev+aSXBFo2bIlCgoKoNVq8eKLLwJ4OHWxh4cHtFotPD09xfHNJ1GpVHj77bervQLl0Z1DqVTi7bffFscELUWpVCIwMLDa2QsfpVKpKtxIJC0tTdz5FQoFQkNDERoaKt4OUq1W4+WXX4ZCocCGDRtMPmHm7u6O8ePHA3h41PXFF18gMDDQ6KQ3ALz00kvYu3cvMjIyqvzATU9Px7p16zBnzhy0bNkSMpkMM2bMqNVc7NX9Le/du4eMjAzxsSAIRo9r6tF9wsPDAzqdzugEsU6nQ5MmTcQbimRkZIgzZVbW76Pru3TpEn744QfMmTMHPj4+kMlkGDVq1FN3vwp3d3ejD9rygltbmZmZ2LFjB0JCQrB582YsXLjQaP5+nU5n9P/ygmPue1KpVGLChAmVHtGW3/CoutempqaiadOmFdpr8v41l+SGgxwdHeHn54fdu3cb/eECAgKwe/fuGl0V9OqrryI+Pl4cqysoKMCJEyeqXL5v37745ZdfkJSUBEEQUFRUhMTERHH+87rSsWNH3Lt3D0eOHIFer4der8e1a9fEscjHdevWDbt378bdu3chCAKuX7+OgwcPipfInj9/Hrdv34bBYICzszMUCgVkMhk8PDzQrl07bN68GQUFBTAYDLh//754fqUyJ06cED/Iyr9pVnZ1TLt27dC6dWt89dVXSEpKErfj0XHj4uJiODg4iGPtBw8erPW4aXV/yw4dOuCvv/4SD/P37NmD7OzsWvXzOH9/fzg5OWHnzp3Q6/W4cOECTp8+je7du0MmkyEoKAjfffcdiouLcffu3UrPCTyqsLAQcrkcrq6uMBgM2LFjBwoKCuok1rrUoUMH3L59G7///jvKysqwb9++WudUEARERUWhd+/emDBhAjw8PLBt2zajZfbt24eMjAzk5+cjLi4OXbt2BWD+e/LVV18VTyoDD891JCQkmPTavn37Ytu2bbh37x4EQcCtW7eQl5dX4/evuSR3JAA8HBK6evVqhSKwd+/eGhWBoKAgFBUVYdmyZdDpdHB2dsZLL70k7mCP8/Pzw/vvv4+YmBjcu3dPHBOv68tRn3vuOcyePRubNm3Cpk2bIAgCmjVrVul86sDDnfHBgwdYtGgRcnJy4OnpiWHDholX4WRnZ+Obb75BZmYmnJyc0LVrV/Eb86RJk/Cf//wH06ZNQ2FhIby8vPD3v/+9ytiuX7+OjRs3oqCgAO7u7hg1alSVR14ffvgh4uLisHLlSmRmZsLFxQVNmzYVfyfh4+OD/v3749NPP4VMJkNwcLB4dFdT1f0tXV1dMW3aNMTGxmL16tVm9fM4hUKBjz76CNHR0YiLi4OnpycmTZokntR87733EBUVhXHjxkGtVqN79+64ceNGlesrv3pqypQpqF+/Pvr161ftcIatPJrTqKgo9OzZE76+vkbf3h934sSJCh+wq1atwrFjx5CTk4OhQ4fCwcEBEyZMwIwZM9CxY0fxvdWjRw/Mnz8fWVlZ6NSpEwYPHgzA/Pfkm2++CQDiut3c3NC1a1eT5v7v378/SktLMX/+fOTl5cHb2xsffvghnn/++Rq9f83F+wkQ2ZFvv/0W2dnZmDRpkq1DqVMGgwETJkzA//7v/6JNmzZ1uu7KfgxJ/4/khoOI7Mndu3dx69YtCIKAa9eu4eDBg+LvIOzdmTNn8ODBA5SWliIuLg6CIEjiV9VPG0kOBxHZi8LCQixfvlwcaujfv/8zc9vRq1evYsWKFdDr9fDx8cGMGTMqvQyTLIvDQUREEsbhICIiCWMRICKSMBYBIiIJYxEgIpIwFgEiIgn7/wCXdqHM9/yJFAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df1 = pd.read_csv('User_ProgEx_Loc.csv')\n", + "x = df1.loc[:, \"Where The Users Gained Programming Experience\"]\n", + "print(x)\n", + "y = df1.loc[:, \"Number of Users\"]\n", + "label = ['school', 'none', 'both', 'outside school']\n", + "\n", + "fig = plt.figure()\n", + "ax1 = fig.add_subplot(111)\n", + "\n", + "ax1.bar(x, y)\n", + "ax1.set_xticklabels(label)\n", + "ax1.set_xlabel(\"Where The Users Gained Programming Experience\")\n", + "ax1.set_ylabel(\"Number of Users\")\n", + "\n", + "tikzplotlib.save(\"fig1.tex\")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "d71fca08", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df = pd.read_csv('User_ProgExp.csv')\n", + "x = df.loc[:, \"Languages The Users Had Experience With\"]\n", + "y = df.loc[:, \"Number of Users\"]\n", + "label = ['Scratch', 'Python', 'Java', 'C++', 'Others']\n", + "\n", + "fig = plt.figure()\n", + "ax = fig.add_subplot(111)\n", + "\n", + "ax.bar(x, y, color=(0.1, 0.7, 0.3))\n", + "ax.set_xticklabels(label)\n", + "ax.set_xlabel(\"Languages The Users Had Experience With\")\n", + "ax.set_ylabel(\"Number of Users\")\n", + "ax.set_facecolor('xkcd:white')\n", + "plt.grid(color='grey', linestyle='-.', linewidth=0.7)\n", + "\n", + "tikzplotlib.save(\"fig2.tex\")" + ] + }, + { + "cell_type": "code", + "execution_count": 196, + "id": "c0ec764c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from matplotlib_venn import venn3, venn3_circles\n", + "\n", + "fig = plt.figure()\n", + "ax = fig.add_subplot(111)\n", + "\n", + "# depict venn diagram\n", + "v = venn3(subsets=(17, 1, 5, 10, 0, 0, 0), set_colors=('#007991', '#1b512d', '#03b5aa'),\n", + " set_labels=('In School', 'Outside School', 'None'))\n", + " \n", + " \n", + "# add outline\n", + "venn3_circles(subsets=(17, 1, 5, 10, 0, 0, 0), \n", + " linewidth=1.5)\n", + "\n", + "plt.show()\n", + "# tikzplotlib.save(\"fig3.tex\")" + ] + }, + { + "cell_type": "code", + "execution_count": 170, + "id": "cc71694b", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df = pd.read_csv('Users_Grade.csv')\n", + "x = df.loc[:, \"Grade\"]\n", + "y = df.loc[:, \"Number of Users\"]\n", + "label = ['6', '7', '8', 'Unknown']\n", + "\n", + "fig = plt.figure()\n", + "ax = fig.add_subplot(111)\n", + "\n", + "ax.bar(x, y, width=0.5, color='#007991')#(0.1, 0.7, 0.3))\n", + "ax.set_xticklabels(label)\n", + "ax.set_xlabel(\"Grade\")\n", + "ax.set_ylabel(\"Number of Users\")\n", + "ax.set_facecolor('xkcd:white')\n", + "plt.grid(color='grey', linestyle='-.', linewidth=0.7)\n", + "\n", + "tikzplotlib.save(\"fig5.tex\")" + ] + }, + { + "cell_type": "code", + "execution_count": 169, + "id": "1b5aeeb3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df = pd.read_csv('Prog_Level.csv')\n", + "x = df.loc[:, \"Level\"]\n", + "y1 = df.loc[:, \"No Syntax Error\"]\n", + "y2 = df.loc[:, \"Syntax Error\"]\n", + "label = ['0.0', '0.1', '0.2', '0.3', '1.1', '1.2', '1.3', '2.1', '2.2', '2.3', '3.1', '3.2', '3.3']\n", + "\n", + "fig = plt.figure(figsize=(11,8))\n", + "ax = fig.add_subplot(111)\n", + " \n", + "# plot bars in stack manner\n", + "ax.barh(label, y1, height=0.7, color='#007991', label='No Syntax Error')\n", + "ax.barh(label, y2, height=0.7, left=y1, color='#59b2bd', label='Syntax Error')\n", + "\n", + "ax.legend()\n", + "\n", + "ax.set_yticklabels(label)\n", + "ax.set_xlabel(\"No. of Programs\")\n", + "ax.set_ylabel(\"Level\")\n", + "ax.set_facecolor('xkcd:white')\n", + "plt.grid(color='grey', linestyle='-.', linewidth=0.7)\n", + "\n", + "# plt.show()\n", + "tikzplotlib.save(\"fig6.tex\")" + ] + }, + { + "cell_type": "code", + "execution_count": 159, + "id": "de039754", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df = pd.read_csv('Users_Gender.csv')\n", + "x = df.loc[:, \"Gender\"]\n", + "y = df.loc[:, \"Number of Users\"]\n", + "label = ['Male', 'Female']\n", + "\n", + "fig = plt.figure()\n", + "ax = fig.add_subplot(111)\n", + "\n", + "ax.bar(x, y, width=0.3, color='#007991')\n", + "ax.set_xticklabels(label)\n", + "ax.set_ylabel(\"Gender\")\n", + "ax.set_xlabel(\"Number of Users\")\n", + "ax.set_facecolor('xkcd:white')\n", + "plt.grid(color='grey', linestyle='-.', linewidth=0.7)\n", + "\n", + "tikzplotlib.save(\"fig4.tex\")" + ] + }, + { + "cell_type": "code", + "execution_count": 197, + "id": "ffecdc24", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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FWg1GGfXI5jw/oiHFwEc0SP5QCA0OF47anfCGQlKXQ5QUctUqjM0yIFejlroUorTAwEc0QN5gEEfsTjQ4XAjwx4hoQHLOBr88Bj+iuGLgI4qSNxhCva0DjR1OBPnTQxQTDH5E8cXAR9RPgVAIh+1OHLE72aNHFCc5ahXGZhqQp2XwI4olBj6iPgRFEQ0OJ+ptTvg4R49oSOSoVZhgyoBJzcUdRLHAwEfUi5AooqnDjUM2BzxBBj0iKRTrNKjMyuB2LkSDxMBH1IOTTjcOWB1w8vgzIsnJAJRn6DA2M4MbOBMNEAMfURdWrw97LXaYvX6pSyGi8ygEAWMyDRhp1EPOI9uIosLARwTAEwzigMWBJqdb6lKIqA9auRzjswwoNeikLoUoaTDwUVoLiSKO2J2os3Vw5S1RkjGplJiYnYkstVLqUogSHgMfpa1mlwdfWuycp0eU5EYYdBhvyoBSxvl9RL1h4KO00+EPYK/ZjjMer9SlEFGMqGUyVJoyMJzDvEQ9YuCjtBESRRy2O3HI5kCI/+qJUlK2WolJ2ZkwqjjMS9QVAx+lBbPXh13tNjj8AalLIaI4EwCMyNBhXBaHeYnOYeCjlBYIhbDf6kCDwyV1KUQ0xDRyGSbnZKJAq5G6FCLJMfBRymp2ebDbbOMpGURpbrhei6psI3v7KK0x8FHK8QSD2Gu245TLI3UpRJQgNHIZJmVnolDH3j5KTwx8lFJOOd3YZbbBz1UZRNSDEr0W1SYjj2ijtMPARynBHwphj9mOEzwpg4j6oD7b21fE3j5KIwx8lPTaPF7saLPBHeQGykTUfyV6LSZybh+lCQY+SlpBUcQBqwNH7E6pSyGiJKVTyDE9NwsmtUrqUojiioGPkpLN58eONivs3FePiAZJADAuKwOjjXoIgiB1OURxwcBHSeewvQMHLA5wsxUiiqVctQpTc7OgVcilLoUo5hj4KGn4giHsbLei2c0zcIkoPpQyAVNysrigg1IOAx8lBYvXh21tVrgCXJhBRPFXbtChymSEXMYhXkoNDHyU8I7andhnsXMIl4iGlFGpwMw8E/RKhdSlEA0aAx8lLH8ohF3tNp6YQUSSUcoETM3J4gkdlPQY+Cgh2Xx+1LZa4OQQLhElgLGZBozLypC6DKIBY+CjhNPU4cJusw08HY2IEkmBVo1puVncqJmSEgMfJQxRFLHP4sARBzdSJqLEpFfIMSPPhEyVUupSiKLCwEcJwR8KYVurFWc83HKFiBKbXBAwKScTpXqt1KUQ9RsDH0muwx/A1lYLHDw1g4iSyGijHpUmo9RlEPULAx9JqtXtRW2bBX5O2COiJFSs02BqThb366OEx8BHkjlqd+JLix38B0hEycykUmJmvgkaOY9ko8TFwEdDThRF7DHb0djhkroUIqKY0MrlmJVvgpGLOShBMfDRkAqERGxrs6CF5+ESUYpRCAJm5JmQr1VLXQpRNwx8NGR8wRA2nzHD4vNLXQoRUVwIACZmG1GeoZe6FKIIDHw0JFyBADa1mNHBkzOIKA1wBS8lGgY+ijubz4/NZ8zwBENSl0JENGTKDFpMys6EIHAFL0mPgY/iqtXtxdZWCwL8Z0ZEaahYp8G03CzIGPpIYgx8FDcnnG7sbLOC/XpElM7yNCrMzDNBwTN4SUIMfBQXDQ4n9pjtUpdBRJQQTColZuVnQyVn6CNpMPBRzB21O7HXwrBHRNRVhlKBOfnZ0Ci4QTMNPQY+iql6Wwf2Wx1Sl0FElJB0Cjnm5GdDr1RIXQqlGQY+iplDNgcOWjukLoOIKKFp5DLMLciBgaGPhhAnE1BMHLAy7BER9YcnGMKGlnZ0+ANSl0JphIGPBm2fxY46G8MeEVF/nQt9ToY+GiIMfDQoe812HLY7pS6DiCjpMPTRUGLgowHbZ7HjqINhj4hooNzBEDa0mOEMMPRRfDHw0YAcsjrYs0dEFAPuYBAbms1wMfRRHDHwUdSO2J04yDl7REQx4w4GsaGFoY/ih4GPonLM4cKX3FSZiCjmXIEgNraY4Q0GpS6FUhADH/XbCacbu8w2qcsgIkpZzkAQm86YEQjxFHKKLQY+6pdmlwc72qxSl0FElPJsvgC2tFoQ5LkIFEMMfNSnVrcXta0W8K2HiGhotHl82NFmBQ/Dolhh4KMLsvn82NpqAQcXiIiG1imXB3vMnDNNscHAR71yB4LYfMaMAD9hEhFJorHDhYNWh9RlUApg4KMe+UMhbD5jhifIvj0iIikdsnWggZvc0yAx8FE3IVFEbasFdh73Q0SUEPaY7Tjt8khdBiUxBj7qZne7Da0en9RlEBFRF9vbrLD5/FKXQUmKgY8iHLQ60OR0S10GERGdJyiKnVNtAtyYmaLHwEdhTR0uHOKRaURECcsTDHXu0RfiYjqKDgMfAQDaPF7saucpGkREic7q82NHOzfCp+gw8BHcgSC2tVq5sTIRUZI45fLgALdroSgw8KW5oChia6sFXp7bSESUVOpsHTjBOdfUTwx8aW53uw1WrvoiIkpKO9usMHu5qwL1jYEvjR2xO3Gcnw6JiJJWCEBtqwWeIFfu0oUx8KWpNo8X+yw8o5GIKNl5giFsa7UixGMw6QIEUeS/kHTjCgTw+el2+Dhvj2jA5AKwoDgPeoUCR+1O7O3yAapEr0WBVo0slRIauRy+UAg2nx/1tg5YzptCIRcEVJkyUKjTAABOuzzYZ3EgeN5bc5FWjam5WVhzqg1u9uZQDyoy9KjKNkpdBiUo9vClmWCoc5EGwx7R4IzLzIBa1v0tVAZgWm4WDEoFTrrc2Gux4ViHC1kqJeYV5qBEr424/QRTBkr0Why1O3HU7kSpXovKrIyI2ygEAdXZmTho7WDYo14dcThxktN0qBcKqQugobXXYoPNxzNyiQYjU6XASKMe+y2Obj0qIoCa5na0nzeR/pjDhQXFeZhgyohYWVmk1eCw3Yl6uxMAIBMElBl0ET2GlaYMeINBHHE44/eiKCXsarchU6WEQclf7xSJPXxp5KTTjWMd/PRHNFiTs7Nwxu3FqR4OsxeBbmEPALyhENo9Xmjk8oieQblMgL9Lj7s/FIJCJoT/nq1Wosyg48bo1C8BUUQtT+KgHjDwpQmnP8BfGEQxUGHUw6CUY485+kVPWoUcQVGMCHhmrw/lBh2MSgWMSgXKM/ThbTYEAJNzsnDE7oTNz5556h+7P4A9Zr7fUyQGvjQQEkVsa7MiwPU5RIOiU8gxLtOAQ7bo59Lla9QwqVU45XSj6wzaL812CIKABcV5WFCcBwHA3rNhckymATIAB208UYGi0+R0o6nDJXUZlEA4yJ8G9lsc3FyZKAYmZhvhCgRxxB7dXDq9Qo5puVlwB4L40hIZ3joCQaw51YqMs3OuHP4ARAAZSgVGZxqw5YwZIREoN+gwIkMHhUxAs8uLfVY7OGpHF7LXbEeOWgU95/MR2MOX8ppdHk70JoqBEr0W+Ro1dpttUZ07rVPIMacgByKATWfMPa6QF9E5DGc/G/YAYFJ2Jk463Wj1+FCs06DKZESdrQPb26wo0KpRZeL2G3RhAVHE9jbuz0edGPhSmDsQxE7O2yMaNBmAKlMGWtxeeIMh6BVy6BVy6BRyAIBSJkCvkEMhCBH308rlmFuQDYUgYFNLOxz9nIdXbtDBoJTjy7MrdcsMOpxyeXDS5YHZ60edvQPD9bqYvkZKTRafH3W2DqnLoATAft4UJZ79ZMf99ogGTyYIUMvlKNTJwxskd1Vq0KHUoMOXFnt4uFcrl2NuYTYUggwbz7T3e9GFRi5DpSkDu9tt8J8ds9XKZRHTMtyBIOQyASqZjD/j1Kc6WwfyNWpka1RSl0ISYuBLUUfszh63hiCi6AXFzg3Lz6eWyTApJxMtbg+OdbhhPxvKzoU9lUyGjS3mqPa+nJidCbPXh5NdtnzxBEMwdpmHZVQpERRFhj3qFxHA9nYrFhTlQtHDZuGUHhj4UpDDH8ABruojihkRnUeenU8r7xzSdfqD4esKQcDcguzwkWsGpaLbJritbi+8PYS1Ip0GeRoV1pxqi2g/7nRjSk4mqkxGuINBjM008EQFioorEMQesx1Tc7OkLoUkwsCXYkRRxI42K1fvEUlEKZOFV0WONOp7vE1Nczu85/XAKwQBE01GHOjh+LTjTjc0chnKM/RQCAJOuzzhrVuI+uu4040CrRrDzjvej9KDIIpcvpNK6mwdOGBl7x4REXWnlAm4tCgPmrMLjih9cDA/hdh8fhxi2CMiol74QyJ28xSOtMTAlyJC54ZypS6EiIgSWrPbyzmgaYiBL0UcsnXAzrM2iYioH/aa7fAF2UWQThj4UoDV60c9N9YkIqJ+8oZC4Y29KT0w8CU5URSxy2yN6qgnIiKi4043Wtzdtxui1MTAl+SOOlxRbepKRER0zu52OwLcwDstMPAlMXcgiINclUtERAPkDgaxn79H0gIDXxLba7EjwG0UiYhoEBocLrR7eBRnqmPgS1Itbk+PRz0RERFFa4/ZBp7DkNoY+JJQMCRiD49VIiKiGLH7A2jscEldBsURA18SOmRzwBUI9n1DIiKifjpgdcDLvflSFgNfknH4/Dhsd0pdBhERpRh/SORZ7CmMgS/J7LHYueceERHFxbEOF6xev9RlUBww8CWR0y4P2riSioiI4miPxSZ1CRQHDHxJIiSK2MdjcIiIKM4sXj+auIAj5TDwJQkBwCijQeoyiIgoDey3OODnCRwpRRC58U5SCYREHLTaccTBT19ERBQ/o416VJqMUpdBMcLAlwQ8/gA0SkVkWyCIne1WnOGcPiIiigO5AFxWnA+tQi51KRQDHNJNcCdsHbjutY/wt2374PEHwu0ahRyz8rMxvzAXOgX/MxIRUWwFxc59Xyk1sIcvwT316UZ8duQEACBPr8W3ZlbhmnEjIm4jiiKa3V7saLUg0NODEBERDYAAYEFxHjLOG2Wi5MPAl8D2t7RjybufdWsfm2vCd+dMwtRh+RHtIVHEEbsT+7lxJhERxUiRVoOZ+Sapy6BBYuBLYA++txY7T7f2en1eeTEenj0Jw7MyItr9oRD2mu047nTHu0QiIkoD8wpzkK1WSV0GDQIDX4L6ovEknli5oc/bKWQy3DihAkumV8KoUUdcc/oD2NZmgdXHgV4iIhq4HLUKFxfmSF0GDQIDXwIKiSLufOsTNEax0bJRrcI908bjG1WjoJR/taJKFEWYvT7Utlrh5Z5KREQ0QLPyTSjQaqQugwaIgS8BfXb4OJ7696YB3bfEaMCDsydiwciSiHZRFHHC6cbOdhvP4iUioqgZlQosKM6TugwaIAa+BPTNtz9FXZt1UI8xuSgX350zGePzsyPagyERB20OHLY7B/X4RESUfmbkZqFYr5W6DBoABr4Es6npNL634ouYPJYAYNHo4fjOrIkoMOgirnmDQexqt6HZ7Y3JcxERUerLVClwSRF7+ZIRA1+C+c57a7DrdFtMH1OtkOP2iWNw19Rx0CmV4XZRFOHwB1DbakFHIBjT5yQiotR0UZ4JhTrO5Us2DHwJZM/pNnzrvTVxe/wcnQb3z6jC18ePgEwQwu2iKOKM24tt3LiZiIj6YFIp8bWiXKnLoCgx8CWQ/1rxBTY2nY7784zKycQjsydhZmlhRHtIFNHgcOJLCzduJiKi3s3Jz0aeVt33DSlhMPAliPo2K+5++9Mhfc7ZwwvxyOxJGJGdGdEeOLtxcxM3biYioh5wX77kw8CXIJ7+9yb8+/DxIX9euSDgPypH4v4ZE2A6b38lVyCA7W1WmL3+Ia+LiIgS28UFOcjR8PSNZMHAlwBO2Dpw25srEZTwP4VepcQ3p47HrRNHQ3Xexs0Wnx+1ZyzwcONmIiI6K1+jxuyC7L5vSAmBgS8BvLBuG94/cFTqMgAARRl6fOeialw+enhEuyiKOOn0YGe7FYx9REQEAPMLc5GlVvZ9Q5IcA5/EWp1u3PT6CvgTrPesqiAH350zCdWFkSuxgqKIelsHDtk6JKqMiIgSRYlei2m5WVKXQf3AwCex32/cjWW7D0ldRq8uqyjFQ7Mmosioj2j3BUPY1W7FaW7cTESUtmQALh+WD41C3udtSVoMfBKye7y44fUVcPkTe/c7lVyGW6rH4J5p46FXRW7c3OEPYn03cp4AACAASURBVFubBfYEfw1ERBQfYzINGJ+VIXUZ1AcGPgn9bds+/LV2n9Rl9JtJq8aS6RNwXeVIKGSycLsoimjz+FDbZoY/sUamiYgozlQyGRaV5EPeZUN/SjwMfBLxBoK47rUPYfP4pC4lauUmIx6ePRFzy4oj2kVRRGOHC3vMdokqIyIiKUzJycTw885sp8TCwCeRT+qO4dnPtkhdxqDMKCnAd+dMwqicyAm7gVAI+y0ONHS4JKqMiIiGklGpwILiPKnLoAtg4JPIg++vxc5TrVKXMWgyQcA148rxrZlVyNFpI665A0HsaLOizZt8vZhERBSduQXZyNXwuLVExcAngeNWB255c6XUZcSUTqnA4injcMekMVArFOF2URRh8/lR22aBK8AJfkREqapIq8bMfG7EnKgY+CTwx0178Pqug1KXERf5ei2+fVE1rhpbHtEuiiJOuzzY3saNm4mIUtXlw/Kg6/KhnxIHA98QCwRDuO61j2B2e6QuJa7G55nwyJzJmHLenI6QKOKwrQMHuHEzEVHKGZtpwDhu0ZKQGPiG2LqjJ/DkJxulLmPIzB8xDA/PnoiSzMg3AH8ohN3tNpx0pXbwJSJKJ1q5DJcPy4fALVoSDgPfEPveivXY1NQsdRlDSimT4aaqUbh3eiWMalXENac/gNo2C2w+btxMRJQKZudnI1/LxRuJhoFvCLV0uHDj6ysQStNvuVGtwv+ZXombJoyCQh65cXO714faVit8CXamMBERRadYp8GMPJPUZdB5GPiGULKdrBEvpZkGPDR7EuaPGBbRLooimjrc2GW2SVQZERENlgzAopICqLt8sCfpMfANkZAo4qbXV6CZmxGHTSnOw6NzJmPseZ8EgyERB2wOHLE7JaqMiIgGo8qUgQqjQeoyqAsGviGyuek0HlvxhdRlJBwBwFVjy/DtmdXIO+9YHk8wiJ1tVpxJwuPniIjSWYZSgUt58kZCYeAbIk9+sgHrjp6UuoyEpVHIccfksVg8eRy0ysiNm+3+ALa1WtARCEpYIRERReNrhTkwnbdQj6TDwDcEzG4Prlv6EQJckNCnXJ0G35pZjavHlUPWZVm/KIpocXuxvdUCruclIkp8ZQYdJudkSl0GncXANwRe33kQf9y8R+oyksronCx8d84kTC8piGgPiSKOOpzYZ3FIVBkREfWHUibgypKCiA/vJB0GviFw25srcczKgDIQF5cV4eHZk1BmMka0+0MhfGm2o8nplqgyIiLqy6x8Ewq0GqnLIDDwxd0Rsw2L3/pE6jKSmlwm4IbKCiyZPgFZ523m6QoEsK3VCovPL1F1RETUm1K9FlNzs6Qug9C5XQ7F0Xou1Bi0YEjEO18exs3LPsYbuw7CH/xq8YZOocC8whzMK8iBRsZ/zkREieS0y4Mg+5USAnv44uybb3+Kujar1GWklGFGPR6cNRGXVpRGtIuiiBNOD3a1W8HlMUREiWFmnglFOg7rSo2BL45OO5y48fUVUpeRsiYW5uLROZNQWZAT0R4MiaizdaDO3iFRZUREdM4wnQbTedSa5DgGFkfrGzicG097mttw37uf4ZnVm9Hs+OpUDrlMwHhTBq4sKUAhD/AmIpJUs9uLQIh9S1JjD18cPfj+Wuw81Sp1GWlBLZfj1omjcffU8dCrlOF2URTR4Q+gttUKR4A7+BERSWF6bhaG6bVSl5HWGPjixOr24tpXP+Bk1SFm0qpx/4wq/Mf4EZB3WcQhiiJaPV7UtlkQ4AQ/IqIhVaTTYCaHdSXFId04qWk8xbAnAYvbi1+t34673/4Um5tOh9sFQUC+VoOrSgpRfd6efkREFF+tbi9/J0qMPXxx8vjKGtQ0npK6jLQ3q7QQD8+ZhIrsyON9AqEQ9lnsaOzgxs1ERENhdn428jmvWjIMfHHg8vtx9SsfwNtlvziSjlwQ8PXxI3D/zCpkn7fjuzsQxPY2K9q9PomqIyJKDyMzdKjO5tm6UuGQbhxsbmpm2EsgQVHEe/uP4uY3PsarOw7AG/jqv41WIcfcgmx8rTAHWjl/HIiI4qXZ7ZW6hLTG33Bx8Dm3Y0lILn8Af9qyF7e9uRKf1h8LtwuCAJNahcuH5WN6bhZ/KIiI4sAVCMLBYzAlwyHdGAsEQ7j67+/zH3USqMzPxqNzJmNiUW5Ee0gUUW/rwEEbN24mIoqlyqwMjM40SF1GWmLgi7Etx5vxnx+tl7oMisKlI0vw4OyJGGaMfBPyBUPY027DSbdHosqIiFJLjlqFiwtz+r4hxRxHr2KMw7nJZ83RE7j9zVX4/cbdcHRZvKGSyzAtLwuXFechU6mQsEIiotRg9vrgC3IzVCmwhy/Gbnx9BU53OeaLkkumRoUl0yfghgkVUJy3cXO714faVit8Ib5ZEREN1LTcLJTw1I0hx8AXQ80OJ254fYXUZVAMlGVl4OHZk3BxeXFEuyiKONbhxm6zTaLKiIiS23C9FlNys6QuI+1wSDeGdp1uk7oEipFjVgceX1mDRz5Yh7o2S7hdEASUZ+hwTWkhKjJ0ElZIRJScWj3c91QKDHwxtOtUq9QlUIxtO3kG976zGj9bW4s251encihkAqqyM3HFsHzka1QSVkhElFzcwSBcgYDUZaQdDunG0G1vrsQxq0PqMihOtAoF7pwyFndOGgtNl0UcoijC5gugts0MV4Dz+4iI+jIlJxPDDRwlGUoMfDFidntwzd8/kLoMGgJ5ei2+fVE1rh5bHtEuiiKa3V7saLWAn12JiHpXqtdiKufxDSkO6cYIh3PTR6vTjZ+s2Yp73v43dpw8E24XBAFFOg2uGl6IyqwMCSskIkpsbZzHN+QY+GKECzbSz6E2Cx76YB2eWFmDpi5D+TJBwOhMA64uLUAptx4gIurGHQzC6edYyFBi4IsR9vClry8aT+HOtz7Bb2p2wu756nBwpUyGqblZWFicB5OKGzcTEXXV5mUv31DiHL4YcHh9uPKV9xHitzLtGdUq3DNtPL5RNQpKuTzcLooizF4/alst8HLjZiIilOi1mMZ5fEOGPXwxsOd0G8MeAQDsXh9+t3E37njrE6w7eiLcLggCcjQqXFGSjyk5mRJWSESUGNq6jIhQ/DHwxcDO0xzOpUgnbB148pON+M57a3DgjDncLggChht0uLa0EKOMegkrJCKSlicYgicQlLqMtMEh3Ri4793V2Ndi7vuGlJYEAFeMKcN3LqpG/nn7TnmDQexqt6HZzU+6RJR+ZuaZUKTTSF1GWmDgGyS3P4BFL7+HAOdlUR/UCjlunzgGd00dB51SGW4XRREOfwC1rRZ08NMuEaWRMZkGjOc2VkOCQ7qD9GVLO8Me9Ys3EMTfdxzALctW4v39R8PzPgVBgFGlxKXFeZiVZwLX8xJRurBwpe6QYeAbpF2cv0dRand58MLn2/DNtz/F1uPN4XZBEFBwduPmKhM/8RJR6rP6/FKXkDYY+AaprtUidQmUpA632/DoR+vxvRXr0Wixh9tlgoAKowHXlBZgODduJqIU5g+J6OAGzEOCgW+Qjpjtfd+I6AI2NTVj8T8+wf+3fjssbk+4XSGTYUpuFi4flodstfICj0BElLzYyzc0uGhjEFx+Pxb+9V/gN5BiRa9S4ptTx+PWiaOhOm/jZovPj9ozFng4Z5SIUsjIDD2qs41Sl5Hy2MM3CI1mO8MexZTT58eLm/fgtjdXYfXhpnC7IAjIVquwqCQf03Ky+INLRCnD6uPCjaHA3xuDcJTDuRQnpx1O/Pjfm/HAu59hb3NbuF0QBJQYtLh6eCHGZhokrJCIKDbsPs7hGwoMfINwxGyTugRKcXtb2vHAv9bgqU834bTdGW6XCwLGZWXgqpICFGnVElZIRDQ4AVGEK8DQF28MfIPQYGHgo6Hx2ZHjuG35Svxx0x44u0xwVsllmJFnwqVFeTAquYMfESUnB1fqxh0D3yBwSJeGki8Ywuu7DuLmZR/jn18eRvDs4g1BEJChUuCSolzMyc+Gkj/VRJRkOKwbf1ylO0B2rw9XvPye1GVQGhthMuLh2ZMwp6wool0URTR2uLCHH0iIKEkM12sxJTdL6jJSGvsCBugo5++RxBosdvzXx1/g0Q8/x5F2a7hdEASMyNDjmtICjDDoJKyQiKh/7BzSjTsGvgFqYO8JJYitJ1pw99v/xi/WbUO7yx1uV8hkmJiTiUXD8pGrVklYIRHRhfG0jfhj4Bsg9vBRIgmJIj44cBS3LFuJV7bvh7fLijetQo45BdmYX5gDnYI/8kSUeLhSN/747j9A3JKFEpHLH8D/bv0StyxbiZWHGsPtgiAgS63CwuJ8zMjlxs1ElHi4Uje+uGhjgK565X1YPV6pyyC6oPF5JjwyZzKmFOdFtIdEEYdtHThg65CoMiKiSBNMGRhl5Iby8cLANwBmlwfXvPqB1GUQ9dv8EcPw8OyJKMnMiGj3h0LY3W7DSZdHosqIiDqVG3SYlJMpdRkpiyM7A3CUGy5Tkvm84STuWP4JfrthF+zer86tVMpkmJ5nwmXFechUceNmIpKOKxCUuoSUxsA3AF2PuCJKFv5QCMv31OHmNz7GW3vqEAiGwtcMSgXmF+ZibkE2VDK+LRDR0HMHGfjiie/sA9Dm5PAXJS+714f/2bALd7y1Cp83nAy3C4KAXI0aV5bkY3I2h1WIaGixhy++GPgGoLXLXmdEyeq4rQM/XLUBD72/FnWtlnC7IAgoy9Dh2tJCVBj1ElZIROkkKIrwspcvbhj4BqDNycBHqWPHqVbc+8/V+MmarWjtcIXb5TIBVSYjrijJR76GGzcTUfyxly9+GPgGoJ0rGinFhEQRHx9qxC1vrsRfar+Eu8t+WBq5HLPys3FJUS4MCrmEVRJRqmPgix8GvgFoZQ8fpShPIIiXt+3HLcs+xkcHGhA6u2uTIAjIVClxaXEeLsozget5iSgeGPjih/vwRSkkivja/76DYIjfNkp9o3Oy8N25kzB9WEFEe0gUcdTuxD6rQ6LKiCgVjTDoMJF78cUFe/iiZHF7GPYobdS3W/HIB5/j8Y+/wDGrPdwuEwSMyjTg6tICDNdrJayQiFKJi4s24oaBL0rckoXSUc2x07jzrU/w31/sgK3LkYJKmQxTcrNw+bA8mFRKCSskolTg67I/KMUWA1+UuEKX0lUwJOKdLw/j5jc+xrJdh+Dv8klcp1BgXmEO5hXkQMONm4logLwhBr544TtzlLgHH6U7h8+P32/ajduXr8KaI8fD7YIgIFujwqKSfEzLyeKbCxFFjT188cP35ChxSJeo00m7E//300341r/WYH9Le7hdEASUGLS4urQQY4wGCSskomQTEEUEuZY0Lhj4osQhXaJIe5rbcN+7n+GZ1ZvR7PjqnGm5TMB4UwauLClAoVYtYYVElEzYyxcfDHxRaueQLlE3IoBP65tw25ur8NLmPXD6/OFrarkMM/NMuLQoFxkK7uBHRBfmZeCLCwa+KLVySJeoV95gEEt3HsTNyz7Ge/uOIHh2ArYgCMhQKbGgOBez801Q8J2HiHrh48KNuODbbpTa2MNH1CeL24tfrt+Ou9/+FJubmsPtgiAgX6vBVSWFqDZlSFghESUqL/fiiwsGvig5vD6pSyBKGkfNdjy2Yj0e+2g9jppt4XaZIGCk0YBrSgtQbuDGzUT0FW7NEh8MfFHiZFKi6G0+3oy7//Epfvn5NpjdX02LUMhkmJSThUXD8pGjVklYIRElCj9Ps4oLBr4oeAMBqUsgSlpBUcR7+4/i5jc+xqs7DsDb5ZB0rUKOuQXZ+FphDrRyvi0RpTMeXxoffGeNAlcOEQ2eyx/An7bsxW1vrsSn9cfC7YIgwKRW4fJh+Ziey42bidIV9+GLD76nRsEX4ERSolhp7nDhmdVbsOSfq7HndFu4XRAEDNNrcc3wQozL5MbNROmGgS8+GPii4OPKIaKY23/GjG+9twb/95ONOGnvCLfLBAFjszJwVUkBhmk1ElZIREMpwMAXFwx8UfCyh48obtYcPYHb31yF32/cjY4uq+FVchmm5WXhsuI8ZCq5cTNRquMcvvhg4IsCV+gSxZc/FMKy3Ydw87KVeGdvPQJdNm42KBWYX5SLOfnZUMn41kWUqjikGx9814wCh3SJhobV48V/1+zE4rc+QU3jqXC7IAjI06pxZUk+JmVnSlghEcVLQGTnSjww8EWBu38TDa1jVgceX1mDRz5Yh7o2S7hdEASUZ+hwTWkhKjJ0ElZIRLHGwbT4YOCLAufwEUlj28kzuPed1fjZ2lq0Ob863lAhE1CVnYkrhuUjX8ONm4lSQZA9fHHBwBcFzuEjkk5IFPHRwQbcsmwl/rZtHzz+rzZC1yjkmJWfjfmFudAp+LZGlMz4mzY++M4YBe7DRyQ9dyCAv9buwy1vrsTHhxrD7YIgIEutxMLifMzMM4HreYmSFNdsxAUDXxS4aIMocbQ63fjJmq245+1/Y8fJM+F2QRBQpNPgquGFmJCVIWGFRDQQzHvxIYgi1z/31z+/PIz//4sdUpdBRD34WnkxHp49CaXnhTxRFBFC595eIkSIIn+hECUyAZ3TNCi2OOoRBS7aIEpc6xtPYWNTM26cUIEl0yth1KgBdM79k8tkkMsFiSskIpIOh3SjcG4TWCJKTIFQCP/YW4+bl63EZ0eaAABybtJMRMQevmgo+IuDKCnYvT68tHkvLqsYHm4TRRGCEJtevhMnTqC+vh51dXWoq6tDU1MTgpzjSxQTWVlZePnll6UuI+Uw8EVBJWfgI0oWJ+3OiJB3x8/fwI3zqjGvaiQKTIZBhb+SkhKUlJRgwYIFAACv14sjR46EA2DXMNjc3ByT10OULoqKiqQuISUx8EVBwcBHlFQCIRHKs3P3vP4AfvbGZwA+g0alwG2XTMZVM8ehojgHCvngJoir1WpUVlaisrKy2zWHwxEOgF2DYH19PSwWSw+PRvEwevRoLF68GIsWLUJFRQU0Gg2OHDmCt99+G//zP/8Dl8sVvu3ChQvxq1/9CqNHj0ZdXR0ef/xxrFmzJuLxZDIZamtrsWnTJjz88MND/XJSmnyQP4/UM67SjcKKgw346dpaqcsgon769P9cjwx15wkc3/ntP7Fp/7Eeb3fJpArc/LWJmFxRDJ1GdcHeP6/fD7PNAZ/fj6wMAww67YDnCba1tfUYBOvr6yMCCA3eL37xCzz00EP44IMPsHnzZvj9fixYsAC33nordu/ejVmzZsHj8WD48OE4cOAAampq8O677+LGG2/E3LlzMX78eBw/fjz8eN///vfx6KOPorKyEg6HQ8JXlnrKysrQ2NgodRkphz18UVDyUwdRUrF7fOHAV2DqfU++dbuPYN3uIwCAEYXZuGvhNMytKkd+VvehX7VSiaLcbAQCQWzeewAra2qx82A9ivNyMWPCGIwbMRxlxQXIM2VCp1FfMDzm5uYiNzcXc+bM6Xbt/HmC574+evQo/H7/QL4dae2dd97BL37xC9jt9nDbn//8Z9TX1+Opp57CkiVL8Mc//hFXXnklAOD666+H2+3G0qVL0dbWhiuuuAJ//etfAQAjRozAs88+izvvvJNhLw7YwxcfDHxRUHJIlyipmN0eDMs0AAAKTIZ+3aeh2YznX/83AECnUeG2SybjyhljMbIoJ2Jah0Ihx8VTqnDxlCoAwOGmk1i5oRa/fOUtbNqzH8GzRzGOHj4M86ZWYcq4URhbXorSwnxkZxqgUV24J/H8eYLnBINBNDY29jhf8Pjx4whxN4Eebd++vcf2t956C0899RSqqjr/O2q1Wng8HrjdnWc2u91ueDwe6PX68H3+9Kc/YeXKlXj//ffjX3gaYuCLDwa+KCi5SpcoqTQ7XKgu7Py6YACnbrg8Pry8aiteXrUVAHDZ5FH4xvyJmDiyGDq1MiKwjRo+DI8MH4ZHbr8eFnsHVm/ejpUbarF68w68/N4nAD6JeGyZTIYp4yowe1IlJo+twJjhw1Ccn4OsDAOUCkWvYVAul6OiogIVFRW46qqrIq55PJ5eF4+0tLRE/frTQUlJCQCEvz+bNm1CdnY2nnjiCbz55pu48847kZ2djU2bNgEA7rrrLsycORPjx4+XrOZUp1AwmsQD5/BFYevxZjz60XqpyyCifnpgZhXunda5kKLmywY8/Pt/xeyxK4pycNfl0zB3QjlyM/W9BrRAIIiNu/dj5YatWFVTiyMnTvf52BqVChdVj8WsiZWYOGYEKkqKUZibDaNBN+AFJg6Ho8cgWF9fD6vVOqDHTHYymQw1NTWYPn06qqqqUFdXBwB4/vnn8aMf/QhyuRzBYBA///nP8fTTTyMnJwcHDx7Ej370I/zlL3+RuPrUVV1djT179gzZ8z377LN47rnnAHRu35SqGPiisLe5DQ/8a03fNySihHD5qFI8f/lsAED9yTbc/PzSuDyPQaPC7ZdOwRXTx2JEYTbkF5j+UXfsBFbW1GLlhq3YsvdgeOi3v7IMBsydOgEzq8aiqqIc5cMKUZCdBf0gFo+0trb2GAQPHz6c0otHfve73+GRRx7Bk08+iRdeeCHiWn5+PkaOHImjR4/izJnOs5pfe+01DB8+HPPnz0dpaSl+97vfYebMmWhqasIPfvADrF/PDoFYmDt3Lmpqaobs+dIl8LHfNApaJb9dRMmkvv2rnqvCfs7hG4gOjw9/+XgL/vLxFgDAomljcNO8alSPLILu7KKRc8aUlWBMWQkevfMGmG12/HvzDqys6Rz6tTv7DlfWjg6sWL8FK9Zv6XZtWF4O5k2rxrTxYzB+ZCnKigqQ24/FI3l5ecjLy8PcuXO7XTt+/HiPi0caGhqSevHI888/j0ceeQR//vOfu4U9ADhz5kw46AHAokWL8I1vfAOTJ0+GTCbDihUrcOzYMXz961/HDTfcgFWrVmHs2LERK3lpYLKysqQuISWxhy8KJ+0d+MYbH0tdBhH1kwxAzbdvDoedOd/9PVzeoQ0pY4blYfHCqZg9oQy5xt6Hfv2BADbs2odVNbVYuaEWDSdju2Hz2PISXDyly+KRgjxkZ2ZArVIOaBPqQCBwwcUjifyr5ZlnnsGzzz6Ll19+GUuWLOnz9lqtFvv27cPLL7+Mn/70p5g9ezY2btyIUaNG4ciRztXdTU1NePHFF3sMjxSdO+64A2+88caQPR97+KgbHXv4iJJKCEBQFKE4G2jyswxobBnazY7rTrbi6Vc7F2wYdWrccekUXD5tDMoLsyOGYJUKBS6ZPgmXTJ+EF/7zPhxsOI6VG7ZiZU0ttn55aNCrbw81nsChxhPd2mUyGaaNH4VZEysxeVwFRg8fhuK8c4tH5L2GQYVCgVGjRmHUqFG4+uqrI655PB4cPny4xzDYtddMCk8//TSeffZZvPrqq7jvvvv6dZ+f/OQncDqd+OUvfwngq4UeXXvzTpw4gdLS0tgXnIYSqYdvx44d+Oijj7B69WocO3YMLS0t0Gg0GDduHG644QY89NBDMBgiRw/effdd3HTTTVAqlTh16hRyc3N7ffx58+ahpqYGS5YsCW/7M9Dn7QsTTBQY+IiSj9sfiNiLb6gDX1d2lxd/+mgz/vTRZgDAlTPG4aZ5VagqL4JWrYy47bgRpRg3ohSPLb4J7VY7Pt20HStrtuKzLTvhcLljVlMoFELtvjrU7qvrdk2jUmH2xPGYNWk8qkePwMiSIhTm9L14RKPRoKqqKrzVSVd2u73XxSM2my1mr6snP/7xj/Hcc89h6dKluPfee/vVmzN16lQ88sgjmD9/fngI+9SpUwA6Fxds374dKpUKo0ePxooVK+Jaf7pIpMA3bdq08NcymQxGoxFWqxVbtmzBli1bsHTpUqxduxb5+fnh21177bXIzs6G2WzGW2+9hYceeqjHx25sbMSGDRsAdK7+Huzz9oUJJgpqhQJyQUAwhbt8iVKNw+vvEvjiN49vIFbVHsSq2oMAgHGleVi8cBpmV5YhO0MX0bOWk2XE7VctwO1XLYDP70fNzn1YtaEWK2u24tjp+PWYeXw+rN22G2u37e52LdtowNzJVZhZPQ4TKspQXlyI/JwsGLQayC6weMRoNGL69OmYPn16t2tnzpzpdfHIuX3xBurBBx/E888/j2PHjmH16tW44447Iq63tLRg9erVEW1yuRx//etf8b//+7/YvHlzuH3Lli2oq6vD0qVL8Yc//AFXXXUVjEYj3nrrrUHVSJ0yMzOlLiFs4cKFuOOOO3DZZZehuLgYCoUCbrcbq1atwpNPPon9+/fj29/+Nt59993wfVQqFW699Va89NJLeO2113oNfK+//jpEUURZWRm+9rWvDfp5+8I5fFFa+Ld/welL3onKROnmLzdehqqCHADAH97fgL9+3H2xQ6LJ1Glw58KpuHzqaAwvMF1w9e3+o8c6V/3W1GLb/rqE2Hi5tCAPF0+twrTKMRg/ohRlRfnIyep78ciFNDU19bp4JBAI9Hn/V155Bffcc0+v19etW9dtk+vHH38cjzzyCCorK9HR0RFxbcyYMXjppZcwY8YMHDt2DD/84Q/Zwxcjf/7zn/HAAw8M2fMNdA7fyZMnUVFRAZ/Ph8bGRgwfPjx8bfPmzZg9u3OHgEOHDmHMmDHd7j9u3DgcOnQITz31FH7yk5/E5HkvhIEvStct/RBnnLEbTiGi+PrZotm4tKJzbtU76/fgp2+s7uMeiUUmA66aMR43XlyFCeWF0KiUvd621WLFJxs7h37XbN0Fp9szhJX2z7gRpectHsmFyTi4xSMNDQ3hINg1DJ44cSKlJ+GnquXLl+PWW28dsucbzKKNiy66CFu3bsWbb76J2267LeLamDFjwkf3nR/otm7diosuughA74FwoM/bGw7pRilHp2HgI0oiJ21f9cwk2pBuf4RCwIotB7BiywEAQGVZARYvnIpZ48pgytBGhKQ8UxYWX3MZFl9zGbw+P77YsTe859+JljapXkKEgw3HcbCh+9YlMpkM0yeMxuzqSkwaV4HRw4tRnJeDr5T8jQAAIABJREFUTEPfi0dGjx6N0aNH45prrom45na7e1080traGpfXR4OXnZ0tdQlhoVAIy5cvx/Lly7Fr1y60trbC4+n+QerEie4Lou666y48/fTTeP311/H8889H/Bt+7bXXAHQGt57C3mCetzcMfFHK02txoFW6Sd9EFJ0Giz38df4AjldLNPuPteBHf1sJAMgyaLD4smlYOHU0hudnRcydU6uUWDhrKhbOmor//v63sLe+4ey8v1psP1CfcD1foVAIW/cewta9h7pd06rVmD25ErOqxqF6zAiMHFaEwlwTMvQXXjyi1WpRXV2N6urqbtdsNluvi0fsdnsPj0ZDJZqFCPHkcrlw7bXXYu3ateE2lUqF7OxsKJWdPe1msxl+vx9Op7Pb/e+66y4888wzaGxsRE1NDebNmwcA8Pv9WL58OQDg7rvvjvnz9oaBL0p5ep3UJRBRFOravtp8ORl7+C7E2uHBH97fgD+8vwEyGXDtRRNw/dwJqCwr6Db0Wz16BKpHj8Dj99yClnYLPtm4DSs31GLt1l1webwSvYL+cXu9WLNlJ9Zs2dntWrbRgIunVmNm1bnFIwXIz86Cvo/FI5mZmZgxYwZmzJjR7VpLS0uvi0d66mWh2EqUwPezn/0Ma9euhVarxc9//nPceOONKC0tjeipO7etSk8foMrLy3HxxRfjiy++wNKlS8OBb9WqVWhra4NKpepxOHawz9sbBr4o5Rm0UpdARFFoMNsgiiIEQUCWQQuNUgGPv+9J/skmFAI+2LQPH2zaBwCoLi/EnQunYua44TAZIod+C3JMuPvrl+Pur18Oj9eH9dv3YOWGWqzasA0nzyTG0G9/me0d+GDdJnywblO3a2VF+bh4ShWmVY7GuPLhGF78/9i777iq6+8P4K87uZdxufcyLntvkI3gQEARFRX3nmmaTSutLK2sn/X9trSynfUtrcxRZmZo5siViltRVFRQQED23vz+QC/3yhTuvZ87zvPx8NHHez/jXFM4vN/vc97WsDQXQdhF8YhMJoNMJpN/g1aUmZnZbvFIRkZGt4pHSOdYLFanfes06f4o3GuvvYZnn3223XNycztvkD579mwcOnQIW7Zswdq1ayEQCOTTuYmJie1OX6viue2hhO8hWZlQwkeILmnTfFliilv5JZ1fpAcuZORi2bqWnYEsRMaYMSQMQ0I84GglBpvdmuwIjPhI6B+OhP7hWPMCcO7qjXu7fZzAmbTrWjf1+zAy7+Qj884+/Phn2z3Q/dycMSDE/17xiAMcZFaQiExhxOu8eMTZ2RnOzs6Ij49Xer2+vl6peEQxKczOztbpP0dNEovF8mlLpt1vrB0SEtLu+xkZGUhPT+/0HpMnT8bTTz+N0tJS7NixAwkJCdixYweA9qdzVfXc9lDC95Ao4SNE99Q2NILLb5nek0nMDCLhU1RYVoWPtx3Cx9sOgcNmIamfP8b094evswxGDzSUD/JyQ5CXG16aNwW5BUXYdfQkkg+n4EDKWVTX1jH0CVTv0o1MXLqR2eZ1LpeLcF9PRAX5ItjLHR5OdrC1soDYzARcTsfFIzweD15eXu0uwK+qquqweKSgQLdGVNVNW6ZzgZZp/4KCApw7dw7Dhg1r8/6yZcu6vIdIJMKYMWOwadMmrF+/HqWlpaipqYFUKm1TZKTK57aHEr6HRAkfIbqnvLYOJvfWtOnbOr6H1djUjG1HLmLbkYsAgGB3O8wYEooIb0eYmwiUEhobSynmJiVgblICqmtr8c/J80g+nIJdR1Jwp6CIqY/QbR6OdpgyLBaD+wbD1d4GRnw+bmbfwW/7j+KzTb8rrV2MiwjCm0/OhbuDLdJv5+DVT77Dhz8oN7U1NRbi0HdrUFpegdzCYrja27TsPGIiBKeT4hFjY2MEBgYiMDCwzXslJSUdFo+Ul5er7g9DR2hTwjd8+HD88MMPWLVqFTw8PJCUlAQul4ubN29i+fLl2Lx5MyQSCYqLOy/knDVrFjZt2oRdu3bJR++mTJkCPp+v1uc+iBK+h0QJHyG6p7i6FjZmJgBaRvhIq7PXc3D2estWYVbmJpgVH4a4YA/YW5orTf0KjYwwfEAEhg9oKXI4k5Yur/o9e+U6I7F3ZeaoeCwYn4jkwyew+a9/UN/QiOjQPnjtsZkYN3gAhix4ETV1dXC0scLGd5bj2PlL+N9vu5EUG4Wf312OiOlPKrWzmTd2OAR8HgY9/Wqb7e0sxSIMDAlARIA3/N2d4WzbveIRsViMvn37om/fvm3ey83NbTcRvH79ut4Wj2hTwrdq1Srs2bMHeXl5mDBhArhcLkxMTORbAL799tvYvXs3/vnnn07vM2zYMMhkMuTl5eHcuZZdazqazlXlcx9ECd9DMuHzYMzjokoPF30Toq/yKqrga92yOFomNuwRvs7cLa3E6l8OYvUvB8FlszF2YACS+vnBx9Ea/AemfkN8PBDi44GX509Dzt1C7DqSgl2HU3Dg5HnU1GnH1O/2/Uexev1WlFVWyV/79rdduJGVgxfmTsbs0fH46pc/ER8ZCgCY9tLbqK6tw8bkfbiZ/AOGRIbg+9/3AABc7GR4ef5UPPrG6nb3Mi4oKcNv+4/it/1H27znYidTLh6xtYaFWAShEb/T9YI2NjawsbFps+1WU1NThzuPZGRkoLGxsUd/XtqAiYSv7t7fV6FQeUDH2dkZJ0+exMqVK5GcnIz8/HwIBAJER0fj6aefRkJCAnbv3t3l/blcLqZNm4YPP/wQAODp6YmoqKgOz1fVc9vE8dBXEFiZCJFZYnhD7YToqqyy1ubL1jTC1y0NTU3YevA8th48DwAI83TA9MEhCPd2gMhYeerXzsoC88YOx7yxw1FVU4sDKeeQfOQEdh05ibxC5vqWnklrf2H7L38fxgtzJ8PXzRkAIDTio7auTr5Gsbq2DrV1dTARCOTXfPji49hz7DR2Hnz4rfkycvKQkZOHH3bubfNegIcLBgT7I9jHA97ODnCQWUIiMgW/k+IRNpsNFxcXuLi4YOjQoUrv1dfX48aNG+1OE+fk5Gh98Uh3twlTpby8PADtJ5sODg5Yt25dh9ceOHCgW89Ys2YN1qxZ0+2YVPVcRZTw9YA1JXyE6JSMotZGuoa+hq+nTl3LwqlrLV39ZWJTzBoahtggd9hZmoOtkJgYC4yQGN0XidEtU5SnL1+T7/Zx/upNRmJ/kL11y97Kd4taindOXLwCicgMz84cj617DmJyQgwkIjOcuNjSBHra8DiE+noiYvpTKo/lYnoGLqZntHmdy+Uiws8T/YL8EOTlBg8ne9haSmHejeIRb29veHt7t3mvsrKyw+KRwsJCVX+0HnF3d9fo85qbm3Ho0CEAQHBwsEafrWm0l24P/N++4/jzStvqLkKIdvK2lOC7SS0jIUXlVRi89AuGI9IffC4bYwf0weh+fvB2tAKf2/E4QlZeQcvU75EU/HPqPGrr6jUYaQs2m42/vvgPQnw8EDnzGaTfygYArFgwHUtmTwSHw0FjYyM+WL8Vq77+CVJzM5za+Bne+HIDvtv+l8bjbY+psQD9gvwQ2ccXfTxcW4pHLCUwMzYGh9PxesHOFBcXd1g8UlFR0fUNVOTkyZMICwvTyLOKioqwYsUKfP755wA0v4evplHC1wNfHL+A709fZjoMQkg3cdksHFw4UT4q0vfJj1DXoLvrnLRZX29HTBscgjBPB5gZd9zguLK6BvtTzsqrfu8Wl2okvveeW4DHJo3Cys/XY/WGX5Tes5KYw9XeBjezc+XxfP36c3CQWWHEE6/AQWaJd59bgDBfL2Tl3cVrn32PI2dTNRJ3d1lJzBEd2gcR/l7wUygeMRYYdVo80pk7d+50WDxSW6vaXVqKi4shFotVes8HHT16FElJSUqjmqNHj8b27ds7XVOp6yjh64FfLqbj/UOnmQ6DEPIQDj82EZx73/BGLf8GWQWaSTAMma3UDLPiwxAT5A5bC5HS1K+ipqYmnLp0DclHUpB8+ARSr6tnBmXFgul48ZEp+Pa3XXj23c+7PH9IZAg2/vcVDJj7LK7fvoMj36/B7dy7eHvdRoyOicJT08YgbOoTSpW82szN3hYDQ/0R6uMJH1dHONp0r3ikI01NTR3uPJKZmfnQxSMSiQRFRepv93PgwAHExcVBJBLBx8cHM2bMwBNPPAFuJ6PT+oASvh7452Y2lu06wnQYhJCH8Pf8cfJefPPf3yxfj0Y0g89lY0J0EEZF+cLLwQo8bsd9627l5t/b7SMFh05fQJ0KuiK8PH8qXp4/DRv++BtPvr22y/OFRnwc//ET/PDH33j3u83oG+CDv796B8GTHsON7JZtrS5t+wbrfv2zzUihLgr0ckP/ID+E+LjDy9kR9tYWkIjMwOdxe5QM1tXVdVo80p7w8HCkpKT09qOQDuh3Oqsm1IuPEN1TUVtPzZcZVNfQhI37z2Dj/jMAgChfJ0yNC0GYpz1MhcpTv0421lg4cSQWThyJ8spq7DtxBslHUvDXv6dQ0IOp32XzpuDl+dPw05/78NR/PunWNSsWzkBVTQ3W3Gu+fL/QI0thr+GcuwVwkGnHvq+9df7qDZy/eqPN6zweF339vREV6NtSPOJoBxsrKcxNOy8e4fP58PHxgY+PT5v3Kisr2x0VbK8xNVEdSvh6wNGcvlkQomuKa2ogMzMGQK1ZtMGxy7dw7PItAIC9pTlmxYdhUKAbbKVmSkmEmYkQY+L6Y0xcfzQ1NSEl9SqSD59A8pEUXL5xq8vnvPTIFLzy6HRsTN6Px9/6uFttSYK93fHYxJFIfHI56htaRhfv7yzi7+6CM2np4PO4cHeww+6jJ3vy8XVGfX0DjpxNbXetoqmxAP2D/BEZ6Is+Hi5wtbeBzKLr4hETExMEBwfrfVWstqEp3R4au+EP5FVUdX0iIUQrvDN8AAa52gMAft5/Fv/9eR/DEZH2GHG5mBgTiJGRvvC0t+x06jcjJ+/ebh8ncPhMqjw5u2/B+ER8sPQx3MrNx1tf/YSm5ial9/OLSrA/5ZzSaxwOGwe++QDHz1/G0tVfyV/ncjg48eNaNDQ24atfdmJoVCiGRIYgcsbTuJ51RwWfXL/ILCQYGOKPCH9v+Lo5wcXOBlYScxgLBR2u5STqRQlfDy3ZeQhHb9E/ckJ0xeL+QZga1NKbbP/ZdDz3+e8MR0S6Y4C/C6bEBSPEwx6mgo6LC8oqq7D3+BnsOpyC3f+eRFFpOT5f/gxmjBzS4b0Pnb6AkU+tUHpt8YxxeGziKPSd8RQqHthRw8PJHmteWIRQH0/czsvHys/WY5eej/Cpg5u9LaLDAhDq6wkfF0c42ljBwlwEQQ+LR0j3UMLXQ58dO48NZ9KYDoMQ0k1jfN2wLDYcAJCamYsZb//EcETkYTlamWPW0HBE93GFjcSsw+SgsbERJy5euVf1m4IrGbc1HCnpicxdP0AiouUW6kJr+HrIXWrOdAiEkIdwraB1iy+ZmL6p6KLbd0vx9k8t25MJ+FxMjglCYl9feNhbgMtpnfrlcDjoF+SHfkF+ePOJObiZfadlt4/DKTh67lKbqV/CPCuJOSV7akYjfD2UXliCWZu1o+s6IaRrfC4bBx6dIB8VCn/iQzQ0NnVxFdEVgwJdMTkmGMHudjDpZOq3tKISfx87g11HTmDPv6dRVEbbZGqDgSEB+PPTt5gOQ6/RCF8POYvNwGGz0NhE+TIhuqCuoQlNzc3g3EsErMWmyCks6+IqoisOnr+Jg+db9up1thZj1tAwRPdxg7XYVCn5Mzc1wYT4gZgQPxCNjY04diFNvtfvtcxspsI3eN4uDkyHoPco4eshHocDZ7EZbhTRNwxCdEVtYyOM7+22IZOYUcKnpzLzS7Dqx70A9sJYwMeUmEAMj/CBu50luArtQjgcDgYE+2NAsD9WPTUX12/nyNf9/XvuEhoecqcI0nPeLo5Mh6D3KOHrBTepOSV8hOiQirp6GPOo+bIhqaqpw/92n8T/drdU0w4O9sCkmEAEutnB2IinNPrn7miHp6aOwVNTx6C4rAJ7j59G8uEU7Dl2CiXllUx9BIPg5UwjfOpGCV8vuEvN8Teo+osQXVFSVQtrk5bmyzJqvmyQ9p1Nx76z6QAAV1spZg8NwwB/V1iZmyglfxKRKSYOHYSJQwehoaER/56/hOQjKdh1OAXpt9vfGoz0HCV86kcJXy+4W1ClLiG6JL+yGl5WEgCATEwjfIbu5p0ivLF+DwDAVMDH1MEhGBbuBTcbC6WdIrhcDqJD+yA6tA/efnoermVmI/nICSQfTsGxC5fRSMU/vSIVmenNFnXajBK+XqDWLITolpyyCvkxba9GFFXU1GHdn8ex7s/jAIChYZ6YEB2IQFdbGAv4Sud6OtvD03kcnpk+DsVl5djz72kkH0nB38dOo7SCpn4fVqivB9MhGARK+HrBTmQKYx4XVfXU04kQXZBR0tqCg9bwkc7sOXUNe05dAwB42FtgVnw4+vs7w1L04NSvGSYPi8HkYTGob2jA0XOXsOtwy3ZvN7JzmQpfp4T5eTEdgkGghK+X3KTmuJhXyHQYhJBuSC8skR/TGj7SXenZhXj9+90AADMhH9MGhyIh3AuuNlJw2K1TvzwuFzFhgYgJC8R/Fs/HlYzb91q+pODExTSa+u1AmJ+nxp/Z2NiIX375BX/88QeOHTuG/Px8VFVVQSwWw8vLC9HR0ZgxYwYCAgI0Hpu6UOPlXvrvgZPYfvkG02EQQrpBwOVg/4IJAICmpmb0ffIjNDTRN2HSc8PCvTAhOhB9XG0hNOJ1eF5RaRn++vcUkg+nYO/xMyirrNJglNrt+s7vYSURa+x5x44dw5w5c3D16lX5azweD2ZmZigpKUGTwteE8ePHY+PGjeDz+e3dSqewuz6FdIYKNwjRHTUNjWi69zMum82CpbkJwxERXbf75FUsXLMV/Z5Zi6mrNmDHv5dQUFqJB8dSpOYiTB0eh+9XvYgbf67H9o/exKJJo+Bsa81Q5NrB0cZKo8nejh07EBsbi6tXr8LCwgL/+c9/cPXqVdTV1aGwsBB1dXVISUnBsmXLIBKJ8Ouvv6KqquvkPCMjAywWCy4uLiqL9cCBA2CxWIiNjVXJ/WhKt5f8raVMh0AIeQi1DY0Q8lq+9Mkkpsgtpq21iGqk3b6LV7/bBQAQGQswfUgIEsK84CyTKE398nk8xEUEIS4iCO8+twCXbmTK9/o9eemq0giTvgvz1dx07rVr1zBz5kzU1tbCz88Pu3fvhoODcjsYDoeD8PBwhIeH44UXXsC8efM0Fp+6UcLXS95WEircIESHVNbVKyR8ZgDuMBsQ0UtlVTX4Yse/+GLHvwCAxL4+GD+wD/xdbNpM/fq5OcPPzRlLZk9EQXEpdh89ieQjKdh34iwqqqqZCF9jNFmwsWLFCpSVlUEgEGDbtm1tkr0HSaVS/Pbbb21Ga3UVJXy9xGGzEWhriWO3qBqLEF1QXF0LSxMhAMCaKnWJhvx5Ig1/nkgDAPg6WWNmfCiifJ0hNTNWqvq1lJhjxsghmDFyCGrr6nH4zEUkHz6B5CMpuJ17l6nw1SbcXzMJX15eHrZu3QoAmDFjBry8uv9cxf8/uowSPhUIsbWihI8QHXG3shqeli1rhmyoUpcw4PKtfCz/tmXqV2wqwIzBoYgP9YKTTKw09WvE52FIZAiGRIbg/SWP4WJ6xr3dPk7g5KVrOj/yxOdxNdaDb//+/fKp8nHjxmnkmdqGEj4VCLGzYjoEQkg35ZS3Nl+m1iyEaSUVNfj096P49PejYLOBkX19MXZAH/i7yCDgK0/9Bni4IMDDBS/MmYT8opKWqd/DKdifchaV1TUMfYKeC/Z2h9DISCPPSk1NlR+HhIRo5JnahhI+FfC1lkLI5aK6gdbxEaLtbikUadCULtEmTU3AjmOXsePYZQBAgIsMM4aEItLXGRJTodLUorVUjFmj4jFrVDxq6+px8NR5JB9pKfzIzi9g6iM8lH5Bfhp7VmFha79cqdQwiy0p4VMBLpuNPjYWOJGVx3QohJAuKDVfFtMIH9FeFzPy8PI3yQAAqZkxZgwJwZAQLzhZi8FmtyZ/RnwehvYLw9B+YVi9dBHOX72BXfeSv9Np6Vo79dsvUHMJn6r+DGxsbNp9vbGxEQBw+/btDs+ZMmUKPvroI6XXbt++jYiIiHbPr6urAwAcPXq0w3suXboUS5cu7VbslPCpSIidFSV8hOiAawoJn6W5CThsFhqbtPMbIiH3FZVXYe1vR7D2tyNgs4HRUf4YO8Affk42MOIrfysP9HJDoJcbXnxkCnILirD76CkkHzmBAynnUFVTy9AnUMZisRAV6KOx51laWsqPi4qKYGdn16P75OV1/n2+qampw3NKS0vbvNbY2NjlPevr6zs8p6Kiot3X20MJn4rQOj5CdENFXQOampvBZrHA5bBhITJBfkn3v2gSwrSmJmD70VRsP9qyLi3IzRYzhoQiwscJYhOB0tSvjaUUc5KGYk7SUFTX1uLgqQtIPpyCXUdSkHOXuW1BvV0cIDUXaex5/v7+8uMzZ870OOHraKQwIyMDrq6ucHZ2RkZGRrfv5+Li0uE9Dxw4gLi4OMTExODAgQM9iFYZJXwq4mcthRGXg9qGRqZDIYR0oa6hEQKFXnyU8BFddu7GHZy7sRMAYCkyxsz4MAwO8YCDpfLUr9DICMP6h2NY/3AAj+PslevYdW+v37NXrmt06leT07kAEBcXBzabjaamJmzbtg0jR47U6PO1AW2tpiI8Dgd9ZBZMh0EI6YbK+nr5sYwKN4geKSirwoe/HkLSq/9D3yc/wps/7MG56zmobWdzgGBvdyybPxX/fPsB0n77Fh+99ASGD4iA0Ej9+8b2C/JV+zMUyWQyTJjQso/2Tz/9pLSPble0dQ3kw6KET4VoWpcQ3VBS3bqOiRI+oq8amprw66ELmPPuz4h86mM88t7P2HPqKkoqqtskMbZWUjwyZhg2v7cCN5N/wKZ3l2PumATYWKqnojU2PEgt9+3MqlWrYGpqiurqaowfPx7Z2dmdnl9cXIwJEya0u/ZOF9GUrgpRwkeIbrhbWQ13i5bmy9ZUqUsMxJn0HJxJzwEAWJmbYPbQMMQGe8De0hxshXV/xgIjjBjYFyMG9gUAnL6cjl1HTiD5cArOXb3R6zgCvVzVlkh2xsvLCxs2bMCUKVOQmpqK4OBgLF26FBMmTICHR0sD6MbGRpw/fx7btm3D2rVrUVJSgm+++UbjsaoDJXwq5C+zgBGHg9pGWsdHiDa7U14lP6YRPmKI7pZW4oOtB/HB1oPgstkYNzAASf394e1gBT5POTUI9fVAqK8HXnl0OrLzC7DryEnsOnIC/5y8gJp7rUMextCoMFV9jIc2duxY7Nu3D3PnzkV6ejqWLVuGZcuWgc/nw9TUFCUlJfIdOVgsFqZNmwYTExPG4lUlSvhUiM/hwE8mxZkc/dvvkBB9kllSJj+m3TaIoWtoasKWg+ex5eB5AEC4lwOmDw5BmJcjRMZGSlW/9taWmD9uOOaPG47K6hocOHlOXvWbX1TS0SOUJPRjLuEDgAEDBiAtLQ1btmzBH3/8gePHjyM/Px/l5eWQSqXw8fFBTEwMZs2aBW9vb0ZjVSVWs76sRtQS61JS8c3J1K5PJIQwJtzBGmtHxwIAcgrLkPjKOmYDIkRL2UhMMWtoGGKDPGBrIVKa+n3QqUtXkXyv6vfCtZvtniM2M8HNPzeAw+GoK2TSAUr4VCztbhEe2fo302EQQjohMuJj97yxAID6xkZEPvkxmuhLISGd4nPZGB8diFFRfvBysAKf23HSdjv3LnYfbdnt4+DpC6ita6mMHz9kIL77vxc0FTJRQAmfGoz/YSfulFcyHQYhpBNHFk2Sj1bEv/AlCsro3ywhDyPSxwlT44IR5uUAM6Hy1K+iiqpq7E85h+TDJzCsfzjGxPXXcKQEoIRPLT46chY/n+9+jx9CiObtXzAeAm7LMuYZb/+I1EzaGpGQnrK1EGF2fBhigtxgKxV1mPwR5lAfPjWIdbNnOgRCSBeq6lob0VpT4QYhvXKnsAzvbNqPxFe+QdRTa/Hepv1IzcxFPe0+pTWoSlcN+thYwsJYgMKqGqZDIYR0oLSmFlJjAQBqzUKIKtU2NODHfWfw474zAID+fs6YEheMKF9nGPEo7WAKjfCpAZvFwiAXGuUjRJvdrayWH9vQCB8hanP0UiYWf7odWXf1Y8cKXUWptprEuNlj26XrTIeh15zEZpgX5gdvKwksjQXgstnIq6jC0Vt38OPZK0ojrPPD/fFohH+791l79Bx+OndF/nshl4tn+gdhkGtL0n7gZhbWHj2HmgemJmJc7fH6kEhM37QLuQqNfIluUG6+TAkfIerkLJPA3Y72m2cSJXxqEmZnDZERH2W1D9+FnHSPtYkQFiYC/HMzG/kVVWhsaoa7hTnG+Lkh3sMJc7b8hWKFPVMB4MMjZ5T2UQWAtLvFSr9/sl8ghno6YcOZNADArBAfNDY1Y/XhM/JzTPg8LBkYgq9OXKRkT0fdVmi+bE1TuoSoVVywB9MhGDxK+NSEy2FjoIst/rySyXQoeutkdj5OZue3ef1szl28Naw/Er1d8OPZK0rv/XMzu8sELcbVHhvPXcX3py8DAHgcNpJ8XJUSviejAlFQVYPNF66p4JMQJqQXKey2IaaEjxB1GkwJH+NoDZ8axbg6MB2CQcqtaEnoREb8dt835nHB6aRlgBGXozQyW1ZTB4HCQuNAG0uM8nHBf/85Sc16ddhVhZFda7EpqIsEIephZW6CQDdbpsMweDTCp0aRjjYQcrmobmjo+mTSY3wOG0IeF3wOB64SEZ6MCgQAHL11p825P0weBhM+Dw1NTbicX4RvT13CsVu5SudczCvEOD83nMnJBwssjPd3x4XcQgAAl83Gy7Hh+Pn8NVwt6N6+kUQ7FdfUorm5GSwWC3weFxJTYxTR9DwhKhcb5M6HA7DDAAAgAElEQVR0CASU8KmVEZeDfk422Hcji+lQ9FqSrxuWRIfKf59TVoHX/z6Gc3cK5K9V1NXht9TruJBXgLLaejiLzTCljyc+SIzGW/tT8OeVDPm5Hx45i/dGDMSGycMAALdKyvHhkZbp3LlhvuCy2fgmhfZL1gd1jU0wurc9lExiSgkfIWowOISmc7UBJXxqFuvmQAmfmv1zMxuZxWUQ8rjwspIg2tkOEqGR0jmbziuvtTsMYMflm/hxyjAsHhCM/dez5COxt0rKMX3TLrhKRACAm8VlaGxqhotEhFkhPli68xBqGxsx3t8d4wM8YMzj4nBGDj799zxqG6nJqC6pqq9XSPjMcPlW2zWhhJCek0lMEenjzHQYBJTwqV1/Z1vwOWzUNTYxHYreultZLe+pdjAjB/uvZ+HbifEw4nCw/l6lbXvKauuw7dJ1LIgIQB8bC5zIat1aq7GpGemFyj2jXo4Jx55rt5CSnY8h7o54pn8Q3j5wEnkVVVgR1xdsFgvvHzqtng9J1KK0pg4SITVfJkRdRkf5gc2mBbLagIo21MyEz0OEg4zpMAzK9aJSXC0owfiArqcRcssrAQDiB0YEHzTe3x0OYlN8fPQcAGC0ryv238jGX9du4dydAqw/cxmjfFxAX9Z0S4FC82VrMfXiI0SVWCxgzIAApsMg91DCpwEJnk5Mh2BwjDicDqt0FTmYt3yTL+pkGzwrEyEej+yDj46clVfvWpsIkV/Rut4rv6IKRlxul4kj0S65Ss2XaYSPEFUK9XCAo5WY6TDIPZTwaUCsm0O3kg/ycKT3puIeFGpnBTepCKl5LZW1HBYLJnxem/OsTYQY7++OkupaeRVue5ZEh+JCXiH+unZL/lpBVQ3cpeby37tLxahrbGzT1Jlot1ul5fJj2l6NENUaO6D93Y0IM2gNnwbwORwkervg5/NXmQ5Fr7w4KBQWJkKcys5Hbnkl+BwOfKwkiPdwRFV9g3z6Vcjj4peZI3HwZjYyistQfq9Kd7SvK4Q8Ll7fc6zDYotYN3tEOFhjxqbdSq/vupqJ5XEReHZAMPIrqvFImC/+unYL1JVPt9woal2naU0JHyEqYyLgIz7Mi+kwiAJK+DRkjJ8bJXwqtif9FkZ4u2C4lzPEAiMAzcgtr8Jvl27gx7NXkHdvyrW2oREHbmTB31qKQa72MOZyUVJTi5SsPPx49gou5Re1e38TPg/PDwzF1ydS2+zO8eeVDFgaCzDO3x1CHhcHM3KwRmEnDqIbrig0X6YpXUJUZ1i4N4TtzKwQ5rCam2mrAE1Z9Ns+pd5whBDmHV00Cax722zEPv8ZSio7Xs9JCOme71+aiiA3O6bDIApoDZ8GjfF1YzoEQsgD6hVaJsloWpeQXnOzlVKyp4Uo4dOgwe6OVLxBiJapqm/d+tCapnUJ6bUx/akVizaihE+DjLgcDPOijuOEaJOy2tbKaqrUJaR3uGw2RkX5Mh0GaQclfBo2xo+mdQnRJgUKPRhpSpeQ3hnYxxUWIhOmwyDtoIRPw9yl5ugjs2A6DELIPdR8mRDVGdOfeu9pK0r4GECjfIRoj9slrc2XqRcfIT1nITJGdB/6/qatKOFjwBB3R5hSfyJCtMKN4tbmyzIxjfAR0lOjovzA5VBaoa3o/wwDBDwuhnlS8QYh2uDK3RL5Ma3hI6TnaDpXu1HCx5Cx/jTsTYg2yKuowv3+80IjHkTG7e/RTAjpWD9fZ7jZ0vp0bUYJH0M8LMTws5YyHQYhBEBDk2LzZZrWJeRhPTI8gukQSBco4WPQpD6eTIdACIFy82Wa1iXk4QS42KCvjxPTYZAuUMLHoHgPR9iZUb8iQphWVlMnP6YRPkIezrzhfZkOgXQDJXwM4rLZmBXiw3QYhBi8QoXmy9ZiGuEjpLtcbaQYHOLBdBikGyjhY1iijwusTIRMh0GIQcutqJQf0wgfId03d1g40yGQbqKEj2F8DgfTgryYDoMQg5ZVWiE/pv10CekemcQUiZG0b66uoIRPC4z1c4e5gM90GIQYrJtFZfJjaxrhI6RbZsWHgcfhMB0G6SZK+LSAkMfFlEAa5SOEKVcKiuXHNMJHSNfMTQSYEB3IdBjkIXCZDoC0mBjggR/PXkFlXT3ToRBicLLLKtHc3AwWiwVjAR+mAj4qFCp3DcG84RHwdZLB18kaDlZi5BSUInH5Nx2ePzTUEzPjw+DlYIWm5mZcuZ2Pb3el4PDFm0rnCY14WDIxBnHB7gCAvWfSsXrrP6ipa1A6Ly7YA2/PG4EJb3yPnMIyEO02NS4YQiPaIlSX0AifljAz4mOCvzvTYRBisBqamuXHhtiL75lx0YjwdkTW3VKUVtZ0eu7cYRF477HR4PM4+Oz3o/h8x1EIjXj4+MmxSOyr3Hng2fHRGNHXBz/tO4Of9p3ByEhfLB4frXSOqYCPl6cOxqe/H6FkTwcIjXiYFhfCdBjkIdEInxaZEuSFTReuobahkelQCDE41Q0N4HFa1tJaS0xx/U4hwxFp1sjl3yC7oBQAsPW12TDuYPRGamaMJ0b3w7XsAsz6z0b5LiU/7zuLjStm4qWpg/HP+RuovDdCOjjEAxv2nMI3yScAAHwuB+MG9ME7P++X33Px+GjcLavAT3vPqPMjEhUZPzAAYlPqLqFraIRPi0iFAozxpT12CWFCucIUriGu47uf7HUlyN0OfB4Xfx6/rLQlXUNTE5JPXIa5iQCxQa2zFQIeV2nEsLSyBkKj1rGGYHc7jB0QgDc37EFTc+soK9FOXA4bs+KpFYsuooRPy8wI9gaPTf9bCNG0wurWpMQQp3S7i89tqcp8cA2e4muBbrby187duIOJgwLh5WAJbwcrTIoJwrnrdwC0JA+vzRqKH/aexpXbdzUQPemtxL4+sJHSvw9dRJmFlrE2NcZwb2emwyDE4OSVV8mPqTVLx67ntEx19/VxbPNehHfLa4oJ83ubD4DLYWPzq7Ox6dVZYLNYeHdzy3TugsRI8LgcfLHjXw1ETnqLxWpZv0l0E63h00KzQ3zwZ1oGGml6gxCNuV1aLj+mEb6OpecU4N9LGYgL9sCz46Ox/WgqACCpvz8G+LsAAAT81m8tmXnFmLDye7jZSQEAN3KK0NDUBDdbKR4ZFoGnP/kNtfUNmBwThMkxQTAW8PHP+ev48JdDqK1vO4pImBMX7AE3WwumwyA9RAmfFnIwN8MQD0f8de0W06EQYjBuFrdWh8rENMLXmRe/3onXZyVg9tBw+YhPdkEp/rNxH16fnSAv2LivoakJV7MKlF57beZQ7Eq5guNpt5AQ7oXnJ8bgjfV/Ibe4HG/OHQYOi4W3N+7T2GcineNy2Fg8LrrrE4nWooRPSy2I8Mf+61moV1gUTQhRn2t3S+THtJ9u58qrarH0yx2QmhnDWSZBVW0drmbdxQB/VwBARm5Rp9dPjgmCk7UEiz/bDgAYNyAAe89cQ3JKGgDg2+QTeGnqYPzn532giQ7tMGlQEJxlEqbDIL1Aa/i0lIO5GSb28WA6DEIMRmZpOZrvZRdmxoIO25KQVkXlVTiTno0rt++iuRkYGNCS8B26cLPDa6zFpnh63EC8t/mAvHrXWmyG3KLWKfXc4nII+Fxq/aElzIyN8NioKKbDIL1ECZ8WeyTMD2KBEdNhEGIwGg28+XJv+DnLMG5gAE5euY2z13M6PO/laYNx7nqOfDQPAO6WVsDT3lL+e097S9TVN6CkolqtMZPuWZAYScm3HqApXS1mZsTHoxH+eP/QaaZDIcQgVDc0wOxe82WZxBQ3u5ia1CcjI31hayECAEjMhOBxOHg0MRIAcKewDDuPX5af+0RSfzhZi3ExIxcV1XXwdbLGmP4ByC+pwPL/JXf4jCEhnoj0ccLEN9crvf7n8ctYOXsYXpgci7ziciwYGYXklDSaztUCjlZi2lVDT1DCp+XG+rnhl4vpSgvKCSHqUV5bBzOj+wmfYY3wjRsQgHBv5VYrT40ZAAA4eeW2UsKXdjsfkb5O6OfnAgGfi9yicmzcfwbfJp9AeXVtu/c3FfDx0tQ4fPb70Tbbp/3+7yVYmptgUkwQhHweDpxNx7ubDqj2A5IeWTw+Grx7vReJbmM1N9PPUNru2K07eG7nIabDIETvfT1uMAJsWqYWP91+BF//eZzhiAhhTqinPb5dOoXpMIiK0Bo+HRDlZIsoJxumwyBE7+UprBkztBE+QhSxWMCSiTFMh0FUiBI+HfFMvyBw2CymwyBEr2UpNF82xP10CblvRF9f+LvQQIM+oYRPR7hKzTHW173rEwkhPZZR0prw0fZqxFAJeFw8M3Yg02EQFaOET4c8GuEPMz71BiNEXa4VKDZfphE+YphmDg2DjZT+/usbSvh0iFhohLlhfkyHQYjeullUKm++bG4iUNoTlhBDYCkywbx72+UR/UIJn46Z1McDDuY01USIOjQBaFRoXGBNe+oSA/NEUn8YC/hMh0HUgBI+HcPjcPBUVCDTYRCit2oaGuXHNK1LDImXgyXGDghgOgyiJpTw6aAYNweE2lkxHQYheqm8tk5+TJW6xJA8PzEGbOoGobco4dNRz0eHgsum/32EqFpxdY38WEaVusRAJPXzQ5SvM9NhEDWijEFHuUvNMTvUh+kwCNE7+QrNl61phI8YACtzEyydFMt0GETNKOHTYXNDfeEqETEdBiF65bZC82Ua4SOGYMXMeIhMBEyHQdSMEj4dxuNw8HJsONgsWnNBiKpkFiskfGIa4SP6LTHSFzGB1NTfEFDCp+P62FhiQoAH02EQojeuFRTLj2m3DaLPLETGeGlKHNNhEA2hhE8PPB7ZBzZmxkyHQYheuFFcJm++LDUzhhGPmi8T/bR8ejzMaSrXYFDCpweEPC5eGhTOdBiE6IWGpmY0UfNloueGhXtjcAjNDhkSSvj0RJSTDUb7uDIdBiF6Qbn5MiV8RL9IzIRYNm0w02EQDaOET48sHhAMG1Oa2iWktxSbL1NrFqJvXp46GBJTIdNhEA3T+YQvIyMDLBYLLBYLGRkZTIfDKBM+D8vjIkA1u4T0TnF1rfxYRlO6RI/Eh3oiIdyb6TAIA7qd8K1cuVKeWCn+EggEcHBwQFJSEjZv3ixf7KwKH374IVauXImzZ8+q7J76LtxBhvH+tC6DkN64W9nafJn20yX6QmwiwCvThjAdBmFIj8rPZDKZ/Li0tBTZ2dnIzs7Gjh078N1332Hbtm0wMjLqdXAffvghMjMz4eLiguDg4F7fz1A82S8Qx2/nIqusgulQCNFJ2aWt/3ZoDR/RFy9NHQypiJb9GKoeTenm5ubKf1VWVuLixYsYOnQoACA5ORkrVqxQaZDk4Qh5XKwYHEENmQnpoYySMvkxjfARfRAX5I4RfWk7TkPW6zV8bDYb/v7++P333+Hh0TKV+OWXX6KhoaHXwZGeC7K1wrQgL6bDIEQnXSsokR/TCB/RdSJjAZbPiGc6DMIwlRVtCAQCTJo0CQBQXl6O1NRUODg4gMVi4d133+302m+++QYsFgtmZmaoqKiQrxfMzMwEADzyyCNt1g52JC8vD4sXL4arqysEAgFkMhmmTp2KtLS0TmMoLS3Fm2++idDQUIhEIgiFQnh6euLxxx/HjRs3OrzufjwHDhxAeXk5VqxYAR8fHwiFQlhYWGDUqFE4fvx4p89Wl0V9+yBAZsHIswnRZdcLS+XrkS1EJuBxOQxHREjPvTozHpbmJkyHQRim0ipdBwcH+XFlZSUeffRRAMC6des6Leb4+uuvAQDTpk2DqakpTE1NIZPJwGa3hCcSiSCTyZR+tSc1NRWBgYH4+OOPkZ+fDwDIz8/Hpk2bEBkZiXPnznV4XUBAAF5//XWcOXMG9fX14PF4SE9PxxdffAE/Pz/88ssvnX72O3fuIDQ0FG+99RYyMzPBZrNRVFSEnTt3Ijo6Grt37+70enXgcthYldAPYkHv11MSYkjqmpqUmi9b0TdLoqNmxodiaBjN9hAVJ3yKbVGkUikWLFgALpeLa9eu4cCBA+1ec+HCBfkI2GOPPQYAWLp0KXJzc+Ho6AgA+Oijj5TWDebm5rZ7r1mzZsHT0xMpKSmorKxERUUF9uzZA1tbW5SVleHpp59uc015eTlGjx6NrKws2NvbY+fOnaisrERZWRnOnj2LqKgo1NbWYsaMGR0mjADw5JNPgs/nY9++ffJnnzhxAt7e3qivr8djjz2Gpqam7vwxqpTM1BivD4mk9XyEPKRapebLtI6P6J4QD3s8O34Q02EQLaGyhK+srAw//vgjgJZkz8vLC/b29hg1ahQA4Kuvvmr3uvuvh4aGIiwsrFcxyGQy7NmzB+HhLduMcblcxMfH48svvwQAHDp0CFlZWUrXfPbZZ7h58yZ4PB527dqFxMRE+chiUFAQ/vrrL7i4uKC2thbLly/v8NlcLhf79+9HXFwc2Gw2WCwWIiIisGXLFgBAZmYm/v333159vp6KcrLB3FBfRp5NiK6qqKuXH9tQwkd0jIXIGO8uHAkuR+fb7RIV6fXfhJKSEuzduxeDBw9GTk4OAGDx4sXypOnxxx8HAGzbtg0FBQVK19bU1OCHH34A0Dq61xtLliyBUNi2e/iIESPA5/MBtIwoKtq0aRMAYOLEiQgICGhzrZmZGV588UUALRXIpaWl7T574cKFsLa2bvN6nz594OrasuXZ+fPnH+LTqNb8CH9EOLQ/FU4IaatEsfkyFW4QHcJhs/DOoyNhZU5/b0mrHiV8isUTEokE8fHxOHXqFABg5syZSiNhQ4cOhbu7O2pra7F+/Xql+2zZsgUlJSUwNTXF9OnTe/ExWkRGRrb7OpfLhZWVFQCgqKhI/npdXZ08CYuP77iC6X7LmaamJpw+ffqhng0AdnZ2bZ6taWwWC2/ER8LKhLbTIaQ78hWaL9P2akSXPDV2IMK9HZkOg2iZHiV8isUTTk5OCA0Nxfz587Fv3z5s2LABHE5rRRuLxcLChQsBtBZn3Hd/Onf69OkwNe39TyJmZh1/UeZyW3pM19e3TtMUFRWhsbFlnY69vX2H1yoWo9wvBunts5kgEQrwVkI/cNi0no+QrmRR82Wig+KC3PHIsAimwyBaqEc7bXRUNNGRefPm4bXXXkNaWhoOHjyIQYMGIS0tDYcPHwYAeULIpM5avSi+19l5uqCPjSWejArEx0c7LkAhhAC3FJsvi2mEj2g/Rysx3nxkONNhEC2lkdWclpaWmDBhAoDWUb77/w0LC+t1sUZPSaVS+Wjk7du3OzxP8b37U8O6bFqQN2LdOh7RJIQA6YWt63WtaYSPaDkBj4v3HxsNMyG14SLt01j5zv3ija1btyI3N1e+nq+z0b37hR+d9fDrDT6fj8DAQADA3r17Ozzv77//lscTGhqqllg0bUVcXzjQgl5COnStsET+tcdSZELVjkSrvTJ9CLwddX9AgqiPxr6CDRw4EAEBAaipqcGUKVNQUFDQZbGGSCQC0FIJrC5Tp04F0JKIXrx4sc37FRUV8p1CEhMTYW5urrZYNMmEz8PbCf1hRDsIENKumoZG3P9Zk81mUfNlorXGD+yDpP7+TIdBtJxGf2S933rl4MGDALou1rjfJmXr1q0oLi5WS0yPP/44XF1dUV9fjxEjRiA5OVneIPnChQsYNmwYbt68CT6fj1WrVqklBqZ4WoqxdKB+jFgSog61jdR8mWg3XydrLJsax3QYRAdoNOGbPXs2TExaf0ruqlhj4cKFYLFYOHr0KKysrGBnZwcXFxe4uLioLCYzMzP8/vvvsLe3R1ZWFhITE2FiYgJzc3MEBgbi6NGjMDIywo8//oigoCCVPVdbjPJ1xWhfV6bDIEQrKTZfpnV8RNuIjAV4/7HR4PN6VH9JDIxGEz6RSISEhAQA3SvWGDRoEHbu3In4+HiYm5sjLy8PmZmZyMzMVGlcAQEBSE1NxcqVKxEcHAwul4va2lq4u7tj0aJFSE1NxcSJE1X6TG3yYnQYIuzbNo0mxNApNV+mSl2iRVgs4K15w2FvqR/LjIj6sZrVVRHRjtraWtjb26OwsBBffvmlVrRjIS0q6+qx6Ld9SpWJhBi69xMHYoBzS+P0H/4+hfe3/MNwRIS0eHFyLKYPoSU5pPs0OsK3ceNGFBYWQiQSqWRnDaI6JnweVidGw5p24iBE7k5ZpfyY1vARbTE3IZySPfLQNJbwXb9+Ha+++ioAYNGiRSrZWYOolpWpMVaPjIYpn8d0KIRohcyScvkxJXxEG4yM9MWzEwYxHQbRQWpP+AYOHAh7e3t4eXkhKysLDg4OePnll9X9WNJD7hZi/Gd4f3DZ1HOMkPSC1pZQtL0aYVo/X2esnJPAdBhER6n9u3pWVhZycnIgkUgwbtw47N+/H2KxWN2PJb0Qbi/D8jjai5GQqwoJn6W5Ce1DTRjj62SNDxaNBo9DvVNJz6i9ljsjI0PdjyBqMNzLGXkVVfji+AWmQyGEMVUNDWhqbgabxQKHzYaFyAT5JRVMh0UMjIOlOT55ehyMBXymQyE6jObtSIfmhPpirJ8b02EQwqi6Bmq+TJgjMRPis2fGw0JEO72Q3qGEj3RqaXQoBjjbMh0GIYxRbL5sQ+v4iAYJjXhY++Q4OMkkTIdC9AAlfKRTHDYb/ze0H3yt6AsOMUylNQrNl2mEj2gIl83GewtGIcDVhulQiJ6ghI90Scjj4v3EaNiZ0ZQCMTx3K6vlx7S9GtGUV2fFY2Af2vaSqA4lfKRbpMYCrBk1COa0aJgYmBxqvkw07KkxAzCmfwDTYRA9Qwkf6TYnsRk+HhUDkRElfcRwKDVfFtMIH1GvyTFBeDQxkukwiB6ihI88FC8rCdYmxdBIHzEYNxT2l5ZJaYSPqM+QEE8smzqY6TCInqKEjzw0L0sJPkmKhVhgxHQohKjdlYJi+bGVuSnYLGq+TFRvaKgn/rsgEWxq7k3UhBI+0iMeFmJ8khQDiZCSPqLfyuvq0dTcDADgctiwEBkzHBHRN4mRvvjvgpG0iwZRK0r4SI+5W4jxSVIsJX1E79U1UvNloh7jBgRg1dzh4ND+5UTN6G8Y6RU3qTk+TYqFVChgOhRC1KaqrkF+TK1ZiKpMiQ3G67MTaBqXaAQlfKTXXKXm+GxMLCyNKekj+qlEsfmymEb4SO/NSQjHy9OoQINoDiV8RCWcJSJ8OiYOViZCpkMhROUKFJov21ClLumlhSOj8NyEQUyHQQwMJXxEZZzEZvg0KZaSPqJ37pS3Nl+2pl58pBeeHjsQTyT1ZzoMYoAo4SMq5Sg2w2djYmFNSR/RI7cUmy/TGj7SQy9MjsX8EX2ZDoMYKEr4iMo5mJvh0zFxkJlS+wqiH9IVmy9TlS55SCwWsHz6EMwYEsp0KMSAUcJH1MLB3BSfjYmFMy1wJ3rgqkLzZWuxKaj3MukuNouFN2YPw6SYIKZDIQaOEj6iNnYiU3w1bjBCbK2YDoWQXimpqUPzvebLPC4HEhq9Jt3AZbPx9vwRSOrvz3QohFDCR9RLJDDCR6MHYZinE9OhENIrdY1N8mOq1CVd4XE5eO+xURge4cN0KIQAoISPaACPw8HK+CjMC/NjOhRCeqyqvl5+LKNKXdIJsYkAXz47AXHBHkyHQogcJXxEYxb0DcCKuAhwaQshooNKa+rkx9ZUuEE64CyTYP2y6Qj1dGA6FEKU0HdeolEjfVyxZlQ0zPg8pkMh5KHcVWi+TK1ZSHvCvRyw/qVpcLIWMx0KIW1Qwkc0Ltxehq/GD4GtmQnToRDSbbkKzZepNQt5UFI/P3y+eALMTWiLSaKdKOEjjHCRiLBu/BD4WUuZDoWQbrlVUiE/pjV85D4WC3hqzAC8OXc4eFwO0+EQ0iFK+AhjpMYCfDYmFjGu9kyHQkiXrheVyI9lVKVLAAh4XPz30ZF4NDGS6VAI6RIlfIRRRlwu3h7WH1MDvZgOhZBOXS1QSPhohM/g2UrN8L8Xp2BYuDfToRDSLZTwEcaxWSwsHhCMpdGh4NAWBkRLFVbVyJsv83lcSExpv2hDFeppjx9fmQFfJxnToRDSbZTwEa0xIcADH4+OgaUxLXom2qleofmyNVXqGqRJgwLx5XMTITWj3VaIbqGEj2iVUHtrfD85AREO9JMz0T5KzZepUtegcDlsrJgRj+Uz4sHjUHEG0T2U8BGtIxUK8OGoQVgQ4Q82TfESLVJa29p8mdbxGQ6pmTG+fn4SJg4KZDoUQnqMEj6ildgsFuaF++Pj0TGwoCleoiUKK2vkx7SfrmGI8nXCzytmIsSDugkQ3UYJH9FqYfbWWD+JpniJdrhT0dp82VpMCZ8+43E5eG7CIHzx7ERY02gu0QOU8BGtJzWmKV6iHbIUmy9T0YbecpFJsOGlaZiTEM50KGr13XffgcViwcXFhelQiAZQwkd0Ak3xEm2QXlgqP6aiDf00IboPNq6YCR8na0bjqKmpwZdffonRo0fDyckJQqEQ5ubm8PX1xcKFC7F///4Ory0pKcHKlSuxcuVKlJSUdHgeMSxcpgMg5GHcn+Jd+fcxpGTnMx0OMTBXC4rlx9SWRb+ITQR4fXYC4oI9mA4Fe/bswbx585CVlSV/TSQSoba2FmlpaUhLS8PXX3+NESNGYMOGDbCwsFC6vqSkBG+88QYAYO7cuRCLxRqNn2gnGuEjOkdqLMCHo2PwKE3xEg3Lr6yWN18W8nkQ0WizXoj0ccLm12ZrRbK3efNmJCYmIisrC/b29li3bh2KiopQWlqKmpoaXL58Gc8++yy4XC6Sk5MRFRWF/Hz64Zd0jRI+opPYLBbmh/vjo9GDYGVCOx4Qzalvam2+bCOlUT5dxuWw8dyEQfjyOe0ozEhLS8O8efPQ0NCAPn364MyZM5g/fz4kEon8HB8fH6xZswbbt28Hn89Heno6pk+fzmDURFdQwkd0Wri9DD9NGYYkXzemQyEGorq+QX4so0pdneUik2DDMu0qzFi+fDkqKythZGSELVu2wMrKqsNzExMTsWLFChpEd7wAABJ+SURBVADA3r17sXPnTgBAbGwsXF1d5ee5urqCxWLJf8XGxnZ4z1OnTmHy5MmwtbWFkZER3Nzc8Pzzz6O4uLjDa4CW9YYff/wxYmJiYGlpCT6fDxsbG4wdOxa7du3q8Lr7MR04cAD5+fl4/vnn4eXlBWNjY7AemL3ZvXs3xo8fDwcHB/D5fIhEIri5uSEhIQHvv/8+ioqKOo2RUMJH9ICpER8vx4ZjbVIM7EUmTIdD9FxZTWvzZVrHp5vuF2Zo0164d+7cwW+//QYAmDZtGry9vbu85rnnnoOZWcsPHZ9++ikAQCqVwtLSUn6OpaUlZDKZ/JdUKm33Xj/99BP69euHLVu2oLq6Gg0NDbh58ybWrFmD6OhoVFRUtHvdtWvXEBgYiMWLF+PgwYMoKiqCsbEx8vLysH37dowYMQJPPPFEp58jPT0dgYGBWLNmDW7fvg0uV7m84M0338Tw4cOxbds2ZGdng8fjobm5GTdv3sSePXvwwgsv4Pz5813+eRk6SviI3gi3l+GHycMwLciL1vYRtSmoqpYfU6WubjE3EWD1oiS8OnMohHwe0+EoOXDgAJruLReYMGFCt64xNTVFQkICAODQoUNoaGjAr7/+ipSUFPk5KSkpyM3Nlf/69ddf29zn7t27mDdvHubMmYNbt26hpKQE5eXl+OSTT8Dj8ZCamop33323zXUlJSVISEjAtWvXMHjwYBw8eBDV1dUoKSlBSUkJVq9eDVNTU3z++ef46KOPOvwczz33HMRiMfbu3YvKykqUlZXhypUrAIDMzEx5Acrzzz+P7OxsVFZWory8HCUlJTh06BCeeOIJeeJLOkYJH9ErAh4Xz/QPxtfjBsNNKmI6HKKHcsur5MfUi093DAv3xtbXZ2NwCPOFGe1JTU2VH4eEhHT7uuDgYABARUUFMjMze/TsqqoqTJ06FV9//TUcHR0BAMbGxnjyySfx9NNPAwA2btzY5rq33noLGRkZGDx4MHbv3o3o6GgYGRkBAMzNzfHcc89h/fr1AIBVq1ahoaGhzT0AgM1m4++//8bgwYPBZrekJV5eXgCA48ePo6mpCV5eXvjggw9gZ2cnv87c3BwDBw7Ep59+irCwsB59dkNCCR/RS34yC3w3cSjmh/uDy6a/5kR1skrL5ce0hk/7Ocsk+OLZCXhnwUhYmWtvgl5YWCg/frDNSmcUp28V7/Gw7q8HfNCYMWMAtEy7VlW1/rDT3NyMb7/9FgCwZMmSNtOw940dOxYikQgFBQU4depUu+fMmjULDg4O7b53v6VMeXk5Kisr2z2HdA/14SN6i8fh4NEIf8S5O+Dt/Sm4lE+Leknv3Sgqkx/LaD9drWXE42L+iL6YmxAOPk9/v9XdbxPUG1KpFB4e7Y98Ko6oFRcXw9jYGABw6dIleaHE3Llz5SNz7bm//i8zMxORkZFt3h8wYECH1/bt2xeWlpa4c+cOIiMjsWjRIsTHx8Pb27tNYQfpnP7+KyDkHnepOb4ePwSbzl/FVycuoqahkemQiA67VtC6c4FMC1p5kLaiA1zx0tQ4OFjpTsNhxVG9wsJC2Nvbd+u6no4MKups/ZviyF19fb38OCcnR3589+7dbj1HcYRQkbV1x7uaiMVibNy4EdOnT0dqaqp8itnc3ByDBg3C5MmTMWXKFPB42rUmUxvRXBcxCGwWC9OCvLFh8jCE2TO7ZRLRbdnllfJRFWMBH2ZCI4YjIvfZSMywelES1j49TqeSPQDw8/OTH58+fbrb1505cwZASwGHs7OzyuPqSGNj6w/Oubm5aG5u7vLX3Llz270Xh8Pp9Fnx8fG4efMm1q9fjzlz5sDT0xOlpaXYsWMHZs2ahZCQEGRnZ6vy4+klSviIQXEwN8UnSbF4OTYcEvpGTXqoQaH5MrVmYR6Xw8bcYRHY9sZcrS3K6EpcXJx8WvSXX37p1jUVFRXYs2cPACA6OrrDdXTqYGNjIz++cOGC2p9nYmKCWbNm4bvvvsPVq1eRlZWFd955BwKBQGnkj3SMEj5ikJJ83bBleiJmh/jAqIufLgl5kFLzZWrNwqhwLwdsWjELz46PhtBId6f1bG1t5QUSP//8s7wtSWfWrFmD8vKWIiLFXneK6+lUscavPQEBARCJWjoh/Pzzz2p5Rmfs7e3x4osvYsmSJQAgT3xJxyjhIwbLhM/D41GB+HnacAz3cgYt/yXdVVbbupaJ1vExQ2pmjFWPDMe6JZPhbteztWva5v/+7/8gFApRW1uLSZMmoaCgoMNzk5OTsWrVKgAto4MjR46Uv3c/EQNaeuWpA5fLxbx58wAA33//PQ4fPtzp+T3dCaO2trbT94XClq01u5oWJpTwEQIbMxO8PiQS306MR4hdx1sZEXJfoULzZRuq1NUoNouFKbFB2P7mXIyK8uv6Ah3i7++PdevWgcPh4MKFCwgJCcG3336rlLRdvXoVzz//PJKSklBXVwc3Nzf89NNPShWrYrFYXvTxv//9r8P+d7316quvwt3dHQ0NDRg+fDhWr16tVMBRWlqKXbt2Yc6cOYiOju7RM9555x2MGDECGzZsQFZWlvz12tpabN68Ge+99x6Alq3mSOco4SPkHh8rKT4bE4d3RwyAM/VXI53Iq2itNrSmvysaE93HFT+9MgMvTxsCM2MB0+GoxfTp0/HHH3/Azs4OWVlZmD9/PiQSCcRiMYRCIby9vbFmzRo0NDQgISEBx44dU1pPd9+iRYsAAGvXroWpqSmcnJzg4uKCqVOnqixWqVSKPXv2ICgoCJWVlViyZAmsra0hkUhgbm4OsViMESNGYP369airq+v6hu1oamrCrl27MHv2bDg6OsLY2BgWFhYQCoWYMmUKSktL4evri9WrV6vsc+krastCyAOiXezRz8kW2y/dwDcnU1Fc3fmUAjE8WaWt+4rSbhvqF+XrhCeSBiDQzZbpUDRi+PDhSE9Px3fffYcdO3bg/PnzKCgoAJ/Ph5OTE6KjozFt2jQMGTKkw3u88sorEIlE2LBhA9LS0pCVlYXm5ma4uLioNFZXV1ecPHkSGzduxObNm3Hq1CkUFBSAw+HA1dUVwcHBGD16NEaPHt2j+y9cuBD29vbYv38/Lly4gDt37qC0tBQSiQT+/v74//buJibq/I7j+IeZAYaH4WEYBoaHkQWdGVRwKvi01q5aV9242mxMdq17atPWjW3SPffUTXrordf21nposj007Xropo2Hajfp2nQ3Pi0+MiAioDDIIMwDM0MPw6LGrQ8I/OE371dCZoIBv17Mmz////d39OhRnThxQk6nmT8ALKaC2aW6oxMwwFRqRqe+6NHHF28omWF/H3K+29asX+3fIUm6dXdURz86ZfFEZtq8rlEnj+xUd+CbT2EA8OK4wgc8w9cPdryzoU2//fyS/n7jtvgJCddHx+ffe3lKd9FtbKnXT7/3unasb7F6FMAYBB/wAupdZfrlvu06timg352/rH/fHrZ6JFhoYOKhZmdnVVBQIFdJscqcRZpKLOweJTwSbK7VySOv643ONqtHAYxD8AEvIVTr1m8OfUdX70f1+//26GxkkCt+eSqTnZXDnnsysq66XL1DnNW8UG2+Gn1weIfe7ApYPQpgLIIPWIBQrVu/PrhTvdEJ/eGLHp25OaAMt8PmlXg6LZe9SJJUV+Ui+BbA763SB2/v0MEtIdlsbMIElhLBB7yCVnelPtq3XT/eskGnvryqv13rf+LYLZhrMpmSqzgXfByv9nIaair0k0Pb9fb29XLY2Q4GLAeCD1gETZUu/WL3Fv2oe4P+dOmG/vJVr6ZSM8//QqxaY9MJNVTkQo/j1V5Mx2s+fX9PWG92B1TIyQjAsiL4gEXkLS/Vz3Zs0g+61uuvX/Xq44vXdW8q/vwvxKozMjmtjrl9t+zi+/+KHHYd6A7q2N6wNqx5ekEwgOVB8AFLoKyoUMfDQb3bsU7/uHlbf7xwTTfHJqweC4voTuyx5cuctvGUuupyvfvGJr3z7Q65XaVWjwPkPYIPWEIOu01vBVv0VrBF5weG9ecrt/RZ/xD3+RkgEo3Nv6/jPN15XeuadGxPWHvCa7k/D1hBCD5gmWxtrtfW5npF4wl9eq1fn/T0qv/BpNVjYYFujD060L6uKr9/pesscujQtna9tzusQFOt1eMA+AYEH7DM3CVOHQ8HdTwc1MWhUZ2+GtGZmwOKp9NWj4aX0D8em1++XFHmVElxoeLJ/HpQp9FTmfu17c6NqijjLFNgJSP4AAt1+jzq9Hn04c6wztwa0Cc9vboywj631SArKTM7K0dBbn+ct6pc/SPjz/4iA9gKCrQt5NexvWHt2tjK/jxglSD4gBWgrKhQR9pbdaS9Vb3RCZ3uiejT6/16kEhaPRqeITGTVvncLr66arODr7PVp4PdQe3rCsib57/CBlYjgg9YYVrdlfr5zrBObu/Qub67Ot0T0fk7I8pykseKM5maeRR8Bj6p2+736kB3UPu7g2qoqbB6HACvgOADVqhCu11725q1t61Zw5NTOnNrQGcjg7o8EiX+VojodEI+V5kkc57UbWuo0cEtQR3oCspfV231OAAWCcEHrAL1rjK9Hw7p/XBI0XhCn/Xd1dnIoP5z556SmYzV4+Wtew/j2lCXe7+an9T1e6t0cEtIB7oDamvwWD0OgCVA8AGrjLvEqcPtrTrc3qr4TFqfDwzrXN+g/tU3pFgyZfV4eeVO7NFandV2vFpDTYX2dwd1sDuokN9r9TgAlhjBB6xiJYUO7W5t0u7WJqWzWV0YGtW5vkGdjdzV0OSU1eMZ74nlyyv8eDVbQYHa/V5tDfm1J7xWna0+q0cCsIwIPsAQDptNXY1edTV69eHOb+nG6AOd6xvUPyODuj764PnfAC/t8eXL3hV4he+1ere2hvzaFvKrO9DErjwgjxF8gKHWeaq0zlOlH3Zv0L2H0/ry7n1dGBrVheH7ikRj4rGPV9f32PLl6vISFRc6lJyxboG2t6pc20L++cjzrvCrjgCWD8EH5AFveakOBNboQGCNJGkikdTF4dFcAA6N6ur9cc73XYB0dvaJ5ct11eW6fW/5rqZWlDq1JdisbaFmbQ351VLvXra/G8DqQvABeajSWaxdLY3a1dIoSUqm07oyEp2/AnhpeEzTFl6pWk2S6YwcRTZJkrfKtaTBV+4sUkerb/4qXqjZy0kXAF4IwQdAxQ6HNjd6tbkx97RmJpvVjbEH81cAL4+M6f5U3OIpV6bJZEplRYWSFvfBjUZPpQJNtQo21SrYXKtAU60aPZWL9v0B5BeCD8BT7DabQrVuhWrdeq8zIEmKJVPqi8bUOz6hvvGYItGYIuOxvA/B8XhS9V8vX15A8BUXOrS2oSYXd81eBZo8WtdUK1dJ8WKPCiCPEXwAXkhFcZE6fR51+p5czDuZTOUCcD4CJ9QbzZ8QvPdwWu3e3L1zz9vF56koU6A5d9UuMPfRUl8tu822HKMCyGMEH4BX4iouUke9Rx31T4bgw2RKkfGY+sZj6n8wqdGpuMamE/MfpiyJHow92nfo91Zp/Zo6+dwV8tW41FBTKZ8799pQ45KrlLUoAKxRMDvLoZwAll8qk3kUgFNxjcUTGptKaHQ6oeh0XKNzfxaNJ5TJWvPflN1WIKfDIafDLldxkTylTtWUOuUpK1FNqVM1pSUKearkr66wZD4AeFEEH4AVLTs7q1gipUQ6rZlMVqlsVjOZTO59Jvc+95pVav793Gs297mZTFYOm01Ohz0XcIX2+ZArKcy9FjvsKpn7nHPuc4V2u9X/fABYFAQfAACA4bhTGAAAwHAEHwAAgOEIPgAAAMMRfAAAAIYj+AAAAAxH8AEAABiO4AMAADAcwQcAAGA4gg8AAMBwBB8AAIDhCD4AAADDEXwAAACGI/gAAAAMR/ABAAAYjuADAAAwHMEHAABgOIIPAADAcAQfAACA4Qg+AAAAwxF8AAAAhiP4AAAADEfwAQAAGI7gAwAAMBzBBwAAYDiCDwAAwHAEHwAAgOEIPgAAAMMRfAAAAIYj+AAAAAxH8AEAABiO4AMAADAcwQcAAGA4gg8AAMBwBB8AAIDhCD4AAADDEXwAAACGI/gAAAAMR/ABAAAYjuADAAAwHMEHAABgOIIPAADAcAQfAACA4Qg+AAAAwxF8AAAAhiP4AAAADEfwAQAAGI7gAwAAMBzBBwAAYDiCDwAAwHAEHwAAgOEIPgAAAMMRfAAAAIYj+AAAAAxH8AEAABiO4AMAADAcwQcAAGA4gg8AAMBwBB8AAIDhCD4AAADDEXwAAACGI/gAAAAMR/ABAAAYjuADAAAwHMEHAABgOIIPAADAcAQfAACA4Qg+AAAAw/0PhJMZGsawboMAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df = pd.read_csv('User_ProgExp.csv')\n", + "x = df.loc[:, \"Languages The Users Had Experience With\"]\n", + "y = df.loc[:, \"Number of Users\"]\n", + "label = ['Scratch', 'Python', 'Others', 'C++', 'Java']\n", + "\n", + "fig = plt.figure(figsize=(11,11))\n", + "ax = fig.add_subplot(111)\n", + "\n", + "\n", + "_, _, autotexts = ax.pie(y, labels = label,\n", + " autopct='%1.0f%%',\n", + " colors=['powderblue','#007991c7', '#2f668d', '#0d394e', 'black'],\n", + " textprops={'fontsize': 25},\n", + " wedgeprops={\"edgecolor\":'white','linewidth': 3, 'linestyle': 'solid', 'antialiased': True})\n", + "\n", + "for autotext in autotexts:\n", + " autotext.set_color('white')\n", + " autotext.set_size(18)\n", + "\n", + "ax.set_facecolor('xkcd:white')\n", + "plt.grid(color='white', linestyle='-.', linewidth=0.7)\n", + "plt.show() \n", + "\n", + "# tikzplotlib.save(\"fig2.tex\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a79313ce", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.8.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/Charts/Prog_Level.csv b/Charts/Prog_Level.csv index 11667f6..5e8ab65 100644 --- a/Charts/Prog_Level.csv +++ b/Charts/Prog_Level.csv @@ -1,26 +1,14 @@ -"Level","Legend","Number of Commands" -"0.0","No Syntax Error","73" -"0.0","Syntax Error","13" -"0.1","No Syntax Error","160" -"0.1","Syntax Error","47" -"0.2","No Syntax Error","90" -"0.2","Syntax Error","8" -"0.3","No Syntax Error","105" -"0.3","Syntax Error","9" -"1.1","Syntax Error","77" -"1.1","No Syntax Error","153" -"1.2","No Syntax Error","141" -"1.2","Syntax Error","52" -"1.3","Syntax Error","33" -"1.3","No Syntax Error","97" -"2.1","No Syntax Error","61" -"2.1","Syntax Error","74" -"2.2","Syntax Error","6" -"2.2","No Syntax Error","45" -"2.3","Syntax Error","23" -"2.3","No Syntax Error","64" -"3.1","Syntax Error","16" -"3.1","No Syntax Error","56" -"3.2","Syntax Error","1" -"3.2","No Syntax Error","2" -"3.3","No Syntax Error","4" \ No newline at end of file +"Level","No Syntax Error","Syntax Error" +"0.0", 73, 13 +"0.1", 160, 47 +"0.2", 90, 8 +"0.3", 105, 9 +"1.1", 153, 77 +"1.2", 141, 52 +"1.3", 97, 33 +"2.1", 61, 74 +"2.2", 45, 6 +"2.3", 64, 23 +"3.1", 56, 16 +"3.2", 2, 1 +"3.3", 4, 0 \ No newline at end of file diff --git a/Charts/Users_ProgExp.ipynb b/Charts/Users_ProgExp.ipynb deleted file mode 100644 index 1c50a3d..0000000 --- a/Charts/Users_ProgExp.ipynb +++ /dev/null @@ -1,346 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 6, - "id": "8ce85508", - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", - "import matplotlib\n", - "import matplotlib_venn\n", - "import tikzplotlib\n", - "\n", - "plt.style.use(\"ggplot\")" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "b93bae49", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0 school\n", - "1 none\n", - "2 both\n", - "3 outside school\n", - "Name: Where The Users Gained Programming Experience, dtype: object\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "df1 = pd.read_csv('User_ProgEx_Loc.csv')\n", - "x = df1.loc[:, \"Where The Users Gained Programming Experience\"]\n", - "print(x)\n", - "y = df1.loc[:, \"Number of Users\"]\n", - "label = ['school', 'none', 'both', 'outside school']\n", - "\n", - "fig = plt.figure()\n", - "ax1 = fig.add_subplot(111)\n", - "\n", - "ax1.bar(x, y)\n", - "ax1.set_xticklabels(label)\n", - "ax1.set_xlabel(\"Where The Users Gained Programming Experience\")\n", - "ax1.set_ylabel(\"Number of Users\")\n", - "\n", - "tikzplotlib.save(\"fig1.tex\")" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "d71fca08", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "df = pd.read_csv('User_ProgExp.csv')\n", - "x = df.loc[:, \"Languages The Users Had Experience With\"]\n", - "y = df.loc[:, \"Number of Users\"]\n", - "label = ['Scratch', 'Python', 'Java', 'C++', 'Others']\n", - "\n", - "fig = plt.figure()\n", - "ax = fig.add_subplot(111)\n", - "\n", - "ax.bar(x, y, color=(0.1, 0.7, 0.3))\n", - "ax.set_xticklabels(label)\n", - "ax.set_xlabel(\"Languages The Users Had Experience With\")\n", - "ax.set_ylabel(\"Number of Users\")\n", - "ax.set_facecolor('xkcd:white')\n", - "plt.grid(color='grey', linestyle='-.', linewidth=0.7)\n", - "\n", - "tikzplotlib.save(\"fig2.tex\")" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "id": "c0ec764c", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from matplotlib_venn import venn3, venn3_circles\n", - "\n", - "fig = plt.figure()\n", - "ax = fig.add_subplot(111)\n", - "\n", - "# depict venn diagram\n", - "v = venn3(subsets=(17, 1, 5, 10, 0, 0, 0), set_colors=((0.1, 0.7, 0.1), (0.1, 0.1, 0.7), 'r'),\n", - " set_labels=('In School', 'Outside School', 'None'))\n", - " \n", - " \n", - "# add outline\n", - "venn3_circles(subsets=(17, 1, 5, 10, 0, 0, 0), \n", - " linewidth=1.5)\n", - "\n", - "plt.show()\n", - "tikzplotlib.save(\"fig3.tex\")" - ] - }, - { - "cell_type": "code", - "execution_count": 84, - "id": "cc71694b", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "df = pd.read_csv('Users_Grade.csv')\n", - "x = df.loc[:, \"Grade\"]\n", - "y = df.loc[:, \"Number of Users\"]\n", - "label = ['6', '7', '8', 'Unknown']\n", - "\n", - "fig = plt.figure()\n", - "ax = fig.add_subplot(111)\n", - "\n", - "ax.barh(x, y, color=(0.1, 0.7, 0.3))\n", - "ax.set_yticklabels(label)\n", - "ax.set_ylabel(\"Grade\")\n", - "ax.set_xlabel(\"Number of Users\")\n", - "ax.set_facecolor('xkcd:white')\n", - "plt.grid(color='grey', linestyle='-.', linewidth=0.7)\n", - "\n", - "tikzplotlib.save(\"fig5.tex\")" - ] - }, - { - "cell_type": "code", - "execution_count": 128, - "id": "1b5aeeb3", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "df = pd.read_csv('Prog_Level.csv')\n", - "x = df.loc[:, \"Number of Commands\"]\n", - "y1 = df.loc[:, \"Level\"]\n", - "y2 = df.loc[:, \"Legend\"]\n", - "label = ['0.0', '0.1', '0.2', '0.3', '1.1', '1.2', '1.3', '2.1', '2.2', '2.3', '3.1', '3.2', '3.3']\n", - "\n", - "fig = plt.figure()\n", - "ax = fig.add_subplot(111)\n", - " \n", - "# x = ['A', 'B', 'C', 'D']\n", - "# y1 = [10, 20, 10, 30]\n", - "# y2 = [20, 25, 15, 25]\n", - "# # plot bars in stack manner\n", - "# plt.bar(x, y1, color='r')\n", - "# plt.bar(x, y2, bottom=y1, color='b')\n", - "\n", - "ax.barh(y1, x, color=(0.1, 0.7, 0.3))\n", - "# ax.bar(y2, x, bottom=y1, color='b')\n", - "ax.set_yticklabels(label)\n", - "ax.set_ylabel(\"Grade\")\n", - "ax.set_xlabel(\"Number of Users\")\n", - "ax.set_facecolor('xkcd:white')\n", - "plt.grid(color='grey', linestyle='-.', linewidth=0.7)\n", - "\n", - "plt.show()\n", - "tikzplotlib.save(\"fig6.tex\")" - ] - }, - { - "cell_type": "code", - "execution_count": 149, - "id": "de039754", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "df = pd.read_csv('Users_Gender.csv')\n", - "x = df.loc[:, \"Gender\"]\n", - "y = df.loc[:, \"Number of Users\"]\n", - "label = ['Male', 'Female']\n", - "\n", - "fig = plt.figure()\n", - "ax = fig.add_subplot(111)\n", - "\n", - "ax.bar(x, y, width=0.3, color=(0.1, 0.7, 0.3))\n", - "ax.set_xticklabels(label)\n", - "ax.set_ylabel(\"Gender\")\n", - "ax.set_xlabel(\"Number of Users\")\n", - "ax.set_facecolor('xkcd:white')\n", - "plt.grid(color='grey', linestyle='-.', linewidth=0.7)\n", - "\n", - "tikzplotlib.save(\"fig4.tex\")" - ] - }, - { - "cell_type": "code", - "execution_count": 180, - "id": "ffecdc24", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "df = pd.read_csv('User_ProgExp.csv')\n", - "x = df.loc[:, \"Languages The Users Had Experience With\"]\n", - "y = df.loc[:, \"Number of Users\"]\n", - "label = ['Scratch', 'Python', 'Others', 'C++', 'Java']\n", - "\n", - "fig = plt.figure()\n", - "ax = fig.add_subplot(111)\n", - "\n", - "ax.pie(y, labels = label, colors=[(0.1, 0.7, 0.3), (0.1, 0.3, 0.7), 'yellow', (0.7, 0.1, 0.2), (0.1, 0.7, 0.8)])\n", - "plt.show() \n", - "\n", - "tikzplotlib.save(\"fig2.tex\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a79313ce", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "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": "3.8.10" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/Charts/fig2.tex b/Charts/fig2.tex index 6b1ec76..0862d11 100644 --- a/Charts/fig2.tex +++ b/Charts/fig2.tex @@ -1,4 +1,114 @@ % This file was created with tikzplotlib v0.10.1. \begin{tikzpicture} +\definecolor{darkslateblue2576178}{RGB}{25,76,178} +\definecolor{firebrick1782551}{RGB}{178,25,51} +\definecolor{lightseagreen25178204}{RGB}{25,178,204} +\definecolor{limegreen2517876}{RGB}{25,178,76} +\definecolor{yellow}{RGB}{255,255,0} + +\begin{axis}[ +axis line style={white}, +tick pos=left, +xmajorgrids, +xmin=-1.25, xmax=1.25, +ymajorgrids, +ymin=-1.25, ymax=1.25 +] +\path [draw=none, fill=limegreen2517876, very thin] +(axis cs:1,0) +.. controls (axis cs:1,0.221135450182627) and (axis cs:0.92664866900879,0.436145768696328) .. 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