check_wired_column.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"HR Employee Attrition.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=df, x=\"NumCompaniesWorked\")\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "이직데이터인데 이전에 일했던 회사의 수가 0인 것은 말이 되지 않는다.  \n",
    "해당 column이 현재 다니는 회사는 제외한 경우를 나타내야 한다.  \n",
    "즉, 다녔던 회사가 현재 다니는 회사 뿐이라면(NumCompaniesWorkded에서 0을 보이는 행이라면) TotalWorkingYears와 YearsAtCompany는 같아야 한다.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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DsWPTBqStEWcIf+Zl+Phjc2Ly5GtMdxO5NoUkERFxeStWmKyTlARdupiZbP8NSCOX7WJR9/5U+foz85wXB0G3bo4vVnINhSQREXFpa9dC27ZXNq79+uu0w4u2Rpxh4rr9rKl4F/8UKcF7DzzN80XqsTXijDNKllxC6ySJiIjLWr8eWreGuDh48EEzvCi/nW+uy9uKHPS9hRY9PuOcR6GU85rmL5mlkCQiIi5pyxZo2RJiYyEkxOzHVqCAnYbTplEjqQBggtHlgAS5b7sRcSxdbhMREZezY4fZoDY6Gu691wzaLljQTsM5c6BrVyo+25nBZeNTPZQbtxsRx1JPkoiIuJQ9e0zP0alTUKcOLFkChex1CC1aBB07muluPXrwdK9HuPPwWW03IllGIUlERFzGwYPQpAkcPw41asDy5eDtbafhqlVmFHdiInTqlDLd7c7AYgpHkmWcerltwoQJVK9eHW9vb7y9valfvz7Lli1Lefz+++/HZrOluvW0uzmPiIjkdP/8A40bw5EjEBwMK1eCr6+dhj//bBaHvHQJ2rc3S3Dny+fociUPcGpPUtmyZRk5ciSVKlXCsiy++eYb2rRpw9atW7njjjsAePbZZxk2bFjKc7y8vJxVroiIZJPjx00P0oEDULEirF4NJUvaaRgebqa5XbwIrVrB9On2p7vlcRdOH3d2CbmCU/9kPfTQQ6nuDx8+nAkTJvD777+nhCQvLy9Kly7tjPJERMQBTp+Gpk1h924ICIDQUChTJp3GlSqZ3qMjR+DHH9OZ7ia7V03H09MLPz8/Z5eSo7nM7LakpCRmzpxJbGws9evXTzn//fff4+fnR9WqVRk4cCAXLlxwYpUiIpKVoqOheXPYvh38/WHNGggKusYT8uUzq0kuWpTOdDcBmDRpEuHhuwgMDHR2KTma0/sot2/fTv369YmLi6Nw4cLMmzeP22+/HYCOHTsSFBREmTJl2LZtG/3792f37t3MnTs33deLj48nPv7KNNCYmJhsfw8iIpJxsbHmytmmTeDnZy6x3XqrnYZ//w0TJ8IHH5hLa25u4Onp8HpdUXrfeZUrV1ZAygJOD0mVK1cmLCyM6OhofvjhB7p27cq6deu4/fbbee6551LaVatWDX9/f5o0acK+ffuoWLGi3dcbMWIEQ4cOdVT5IiKSCRcvwsMPw6+/QtGiZrLav/8/Tu3QITNY6fBh8PCA9993dKkuTd952ctmWZbl7CKuFhISQsWKFfniiy/SPBYbG0vhwoVZvnw5zZs3t/t8e6k6ICCA6OhovO3OIxUREUe6dAkeeQSWLoUiRUwPUt26dhr+8w80bAj790PlymZWm93R3HlXet9569ato2HDhk6sLHdwek/SfyUnJ6f6wK8WFhYGgL+/f7rP9/DwwMPDIztKExGRm5SYCE8+aQKSp6dZKNJuQDpxwqwouX8/VKhgRnMrIKWh77zs5dSQNHDgQFq2bElgYCDnzp1j+vTprF27lhUrVrBv3z6mT59Oq1atKF68ONu2baNv3740bNiQ6tWrO7NsERHJhKQk6NoV5s41k9IWLID77rPT8PJ0t/BwKFvWBKRbbnF4vSJODUknTpzgqaeeIjIyEh8fH6pXr86KFSto2rQphw8fZvXq1YwbN47Y2FgCAgJo3749b7/9tjNLFhGRTEhOhp49ryxr9MMPJgelYVlmsNK2bVC6tJnuVq6co8sVAZwckiZPnpzuY5evqYqISM5mWdCnD3z1lZmYNn06/GeZvCtsNnj7bXjuOVi2zKyLJOIkLjcmSUREcg/LggED4NNPTf6ZOhUee+w6T2rRwkz711gbcTKXWUxSRERyn3ffhVGjzPGECdCli51Gly6ZnqO//75yTgFJXIBCkoiIZIsPP4QhQ8zx2LHw/PN2GiUmQseO8OWXpgfp0iWH1ihyLQpJIiKS5T7/HF5/3RwPH27GJKWRnAzdu1/Zg23CBO3FJi5FIUlERLLUlCnQq5c5fvNNc0vDssx0t2nTzHS3OXOgWTOH1ilyPQpJIiKSZWbMgB49zHGfPvDee3YaXZ7u9uWXZrrb99+baf8iLkYhSUREssS8eWZgtmWZ8UdjxpgZbWl89hl88ok5/vprePxxh9YpcqMUkkRE5KYtXw4dOphVtbt0MWOS7AYkgE6doE4dMwapa1eH1plX7N69m4iICGeXkeO53Aa3WS0mJgYfHx9tcCsikk1++glatYK4OLMG0uVVta8pIQHc3R1SX15y+TsPwNPTi/DwXQQGBjq5qpxLPUkiIpJpv/1mVs+OizO/Xh6HncaECeYy22UKSNmqctOOXLx4gaioKGeXkqNpxW0REcmUzZuhZUuIjTX7sM2enc4M/qlT4cUXzXH16tCwoSPLzJO8fEs5u4RcQSFJREQybMcOM2M/Jgbuu88M2i5YMHWbWRsjSJ45kw7jBprLFi+/bBqL5BAKSSIikiG7d0NICJw+DXXrwuLFUKhQ6jZtx/9CiTUr+Hz+CNySk1l5z0M0GzfuGqO5RVyPxiSJiMgNO3AAmjSB48ehZk0zq+2/c2JmbYzAe90aPlswEvfkJObe8QA9GzzDrE2HnVKzSGYpJImIyA05cgQaN4Z//oHgYFi5EooVS9vu0OadTJo3HI+kRJbedg+vt+pDsls+/jx81uE1i9wMXW4TEZHrOn7c9CAdPAgVK8Lq1VCihP22QbXv4OMGT3LXkb945eHXSXLLB0CNgKIOq1ckKygkiYjINZ06ZcYg7dkDgYEQGgplyqTfvkOdQNo+9gxfHDpN8r8B6c4AHzrU0Xo9krMoJImISLrOnjWz2HbsAH9/E5CCguw03LkTBg0y0/29vZnf615mbYzgz8NnqRFQVAFJciSFJBERsev8ebOS9pYt5tJaaCjcequdhnv2XBnNXbIkTJwImB4lhSPJyTRwW0RE0rh4ER5+GNavh6JFYdUqM1g7jYMHrwSk6tXh/fcdXKlI9lFIEhGRVOLjoV07sydbkSKwYgXUqGGn4T//mIB05AhUqWKSlK+vw+sVyS4KSSIikiIxEZ580qx/5OUFS5eaBSPTuDzdbf9+M90tNNRcahPJRRSSREQEgKQk6NrVbDHi4QELFsC996bTuGNHs/R2QMD1p7uJ5FAKSSIiQnIyPP88TJ8O+fPDDz+Yaf/p+vhjuPPOa0x3E8n5NLtNRCSPsyx45RWYPBnc3GDGDGjd+jpPqloVNm/WXmwu6sLp484uIVdQT5KISB5mWTBgAHz2mck7U6fCo4/aaXjxIrRtC+vWXTmngOSydq+ajqenF35+fs4uJUdTSBIRycPefRdGjTLHEydCly52Gl26ZJLTggXw+OMQG+vQGiXjJk2aRHj4LgIDtU7VzVBIEhHJo0aPhiFDzPG4cfDcc3YaXZ7utnQpeHrC7NlQqJAjy5RMqFy5sgJSFlBIEhHJg8aPhzfeMMfvv2/GJKVxebrb3LlQoADMnw+NGjmyTBGnUkgSEcljvv4aXnrJHL/9NgwcaKeRZUHPnqmnuzVr5tA6RZxNIUlEJA+ZMQOeecYc9+sHw4al0/Crr8zNzQ2+/x4eeshhNYq4Ci0BICKSR8ybZwZmX+4k+vDDa0xQ69oVVq+GBx80g7VF8iCFJBGRPGDZMujQ4cowo/Hj0wlIlmUeKFAAZs7UNH/J03S5TUQkl/vpJ7NhbUKC6RS6fBUtjY8+MoOVkpPNfQUkyePUkyQikov99psZThQXBw8/DNOmmXHYaXz+Obz2mjlu2fIGltwWyf3UkyQikktt3mzyTmwsNG0Ks2aBu7udhlOnQq9e5vjNNxWQRP6lkCQikgtt325m7MfEQMOGZomjggXtNJw5E3r0MMd9+sB77zmwShHXppAkIpLL7N4NISFw+jTUqweLF4OXl52G8+dD585mDNLzz8OYMRqHJHIVhSQRkVxk/35o0gROnICaNc2stiJF7DQ8cQI6dTLT3bp0MWOSFJBEUtHAbRGRXOLwYROQ/vkHbr8dVq6EYsXSaVyyJHz7rVk86euv05nuJpK3OfVvxYQJE6hevTre3t54e3tTv359li1blvJ4XFwcvXr1onjx4hQuXJj27dtz/PhxJ1YsIuKajh0zAengQbj1VrMOZIkSdhpa1pXj9u2vMd1NRJwaksqWLcvIkSPZvHkzmzZtonHjxrRp04adO3cC0LdvXxYtWsScOXNYt24dR48epV27ds4sWUTE5URFmTFIf/8NgYEQGgr+/nYabt4MdetCRITDaxTJiWyWdfV/K5zP19eX0aNH8+ijj1KiRAmmT5/Oo48+CkB4eDjBwcGsX7+eu++++4ZeLyYmBh8fH6Kjo/H29s7O0kVEHO7sWdODtGWLCUb/+x9UrGin4Y4d0KiRGc3dsaPZj01yncvfef/73/+49957nV1OjucyF6GTkpKYOXMmsbGx1K9fn82bN5OQkEBISEhKmypVqhAYGMj69eudWKmIiGs4fx5atTIBqUQJ04NkNyDt2XNluludOjBhgsNrFcdKvrxqutwUp1+I3r59O/Xr1ycuLo7ChQszb948br/9dsLCwihQoABFixZN1b5UqVIcO3Ys3deLj48nPj4+5X5MTEx2lS4i4jQXLpiVtNevN4OzV62C4GA7DQ8cMF1Nx49DjRqwfDmoVz3X0Hde9nJ6T1LlypUJCwtjw4YNvPDCC3Tt2pW//vor0683YsQIfHx8Um4BAQFZWK2IiPPFx5u92NauNdP7ly83+SeNI0dMQDpyBKpUMdPdfH0dXa5kI33nZS+XG5MUEhJCxYoV6dChA02aNOHMmTOpepOCgoLo06cPffv2tft8e6k6ICBAY5JEJFdISIDHHoMFC8wCkStWQLpDT9q0gYULzTW4n3+GMmUcWqtkv/S+89atW0fDhg2dWFnu4PTLbf+VnJxMfHw8tWvXxt3dndDQUNq3bw/A7t27iYiIoH79+uk+38PDAw8PD0eVKyLiMElJ8NRTJiB5eJhfrzk2d9Ik86Tx4xWQcil952Uvp4akgQMH0rJlSwIDAzl37hzTp09n7dq1rFixAh8fH3r06EG/fv3w9fXF29ub3r17U79+/Rue2SYiklskJ8Mzz5it1tzd4ccfzVhsuw0vLwxZqpTZk0REMsWpIenEiRM89dRTREZG4uPjQ/Xq1VmxYgVNmzYFYOzYsbi5udG+fXvi4+Np3rw5n3/+uTNLFhFxOMuC3r1h6lSTf2bMgAcftNPw8nS3p5+Gbt0cXKVI7uNyY5KymtZJEpGczLLgjTfgww/N1mrffmv2pE3j4kVo3RrWrDGDs/fuvcaeJJJbXf7O05ikrOH02W0iIpK+oUNNQAL44ot0AlJ8vNliZM0aM91t2TIFJJEsoJAkIuKiRo0yIQng44/h2WftNEpMhCefNMHI0xOWLDFbj4jITVNIEhFxQZ99Bv37m+ORI+Hll+00SkqCrl1h3jwz3W3hQrjvPofWKZKbKSSJiLiYyZPNQG2AQYOuhKU0fvwRpk+H/Pnhhx/Sme4mIpnlcuskiYjkZdOnX7ms9uqrVy632fXYY7B9O1SvbgZti0iWUkgSEXERc+eaxSItC154AUaPNjPaUrEsc5ktf37z4LvvOqVWkbxAl9tERFzA0qXwxBMm/3TrZsYkpQlIYEJR69Zmh1sRyVYKSSIiTrZmjZnBn5AAHTrAV19dWTQ7ldGjYcgQs2HbkiUOr1NyjuPHjzu7hFxBIUlExIl+/RUefhji4sx+tN99B/ny2Wk4frxZVRLg/ffNeCSRdHTp8hQRERHOLiPHU0gSEXGSTZvMLiKxsdCsGcyaZfZlS+Prr+Gll8zx22/DwIEOrVNynvj4OKKiopxdRo6nkCQi4gTbtplgFBMDjRpdWeoojRkzzM62AH37wrBhDq1TJC9TSBIRcbDwcGjaFM6cgbvvhkWLwMvLTsPoaNODZFnQsyd89FE6o7lFJDtoCQAREQfatw+aNIETJ+DOO81uIkWKpNPYx8cM0v72Wxg3TgFJxMEUkkREHOTwYROQjh6F22+HlSuhaFE7DePjr1x7u+sucxMRh9PlNhERBzh2zASkQ4egUiVYvRr8/Ow0/O030+CPPxxeo4ikppAkIpLNoqLMtmp//w1BQRAaCv7+dhpu3gwtW5oupw8+cHidIpKaQpKISDY6e9bMYtu5E8qUMQtHBgTYabh9+5Xpbg0bmgWTRMSpFJJERLLJuXOmY2jrVihRwvQgVahgp+Hu3aar6fRpqFcPFi9OZ7qbiDiSQpKISDa4cAEeegh+/x2KFTNjkKpUsdNw//4r091q1rzOdDcRcSSFJBGRLBYfD488AuvWgbe3mcVWvXo6jd99F/75B4KDTcNixRxaq4ikT0sAiIhkoYQEePxxk3e8vGDp0uvM4P/8cyhYEAYPNtfkRMRlKCSJiGSRpCTo3BkWLjTLHC1cCA0apG6zNeIMEYejCCxbnDuDfMHTEyZMcE7BInJNutwmIpIFkpOhRw+YPdtsUjt3rhlqdLWRy3bRdcxKKrRvye8dnmfk0r+cU6yI3BCFJBGRm2RZZou1b76BfPnMnrStWqVuszXiDN+u2smUOe9Q7fg+Htu+ih+XbmZrxBnnFC0i16WQJCJyEywLXnvNXDGz2UxQat8+bbtDR6KY/OMwah8NJ9qjEF06vMvJwr4ciIp1fNEickM0JklE5CYMGQJjxpjjL7+ETp3sNIqPp/GbL+AdsZ1zBTx56vFh7CppFkwq71fIccVKnuHhURA/u/veSEYoJImIZNKIEWYGP8Ann5gxSWkkJMATT+C9LpRLHp50f/Qd/ixTGYAXGlXgzkBN+Zes99133xIYGOjsMnI8hSQRkUz4+GN4801zPHIk9O6dTsN162DBAvDwoMDihbx1W20ORMVS3q+QApJkm1KlSjm7hFxBIUlEJIO+/BL69DHHgwdD//7XaBwSAlOnQvHiEBLCnaBwJJJDKCSJiGTAtGnw/PPm+LXX4J137DSyLDh//sr2Ik895ajyRCQLaXabiMgN+uEH6NrVZKAXX4RRo8yMtlQsy3Qt1a8Px445pU4RyRoKSSIiN2DJEnjySbNoZLdu8OmndgISwNChMHo07NwJa9Y4ukwRyUIKSSIi1xEaatY+SkyEDh3gq6/Azd6/nh98YEISwLhx0LGjI8sUkSymkCQicg2//AIPPwzx8dCmDXz3nVlVO41PP4UBA8zxiBHwyisOrVNEsp5CkohIOjZuNNuLXLgAzZvDrFlmX7Y0Jk+Gl182x4MGXQlLIpKjKSSJiNjx558mGJ07B40amQ1rPTzsNIyLg/ffN8f9+l253CYiOZ6WABAR+Y9du6BpUzhzBu6+GxYtAi+vdBoXLAhr15q1kN5+O53R3CKSE6knSUTkKvv2mfUfT56EO++EZcuuLHeUyunTV44DAsxlNgUkkVxFIUlE5F8REdCkCRw9CnfcAStXQtGidhquWQPlysGcOQ6uUEQcSSFJRASIjDQB6dAhqFQJVq8Gu5uo//qrme527hzMnGkWjxSRXMmpIWnEiBHUqVOHIkWKULJkSdq2bcvu3btTtbn//vux2Wypbj179nRSxSKSG508aS6x7d1rOohCQ6F0aTsNN20y091iY6FZM5g+XZfYRHIxp4akdevW0atXL37//XdWrVpFQkICzZo1IzY2NlW7Z599lsjIyJTbqFGjnFSxiOQ2Z86YvPPXX3DLLSYgBQTYabhtm2kYEwMNG8K8eelMdxNxvuPHjzu7hFzBqbPbli9fnur+1KlTKVmyJJs3b6Zhw4Yp5728vCht9791IiKZd+4ctGwJYWFQsqQJSBUq2GkYHn5lulu9erB48TWmu4k4X5cuT1GvXj0CAwOdXUqOluGepHLlyjFs2DAiIiKyvJjo6GgAfH19U53//vvv8fPzo2rVqgwcOJALFy5k+c8WkbzlwgVo3Ro2bABfXzMGqXLldBp/8w2cOAE1a8Ly5elMdxNxHfHxcURFRTm7jBwvwz1Jffr0YerUqQwbNowHHniAHj168Mgjj+Bxk93OycnJ9OnThwYNGlC1atWU8x07diQoKIgyZcqwbds2+vfvz+7du5k7d67d14mPjyc+Pj7lfkxMzE3VJSK5T1wctG0LP/8M3t6wYgVUq3aNJwwfDj4+0KNHOtPdRJxD33nZzMqkzZs3W71797b8/PysYsWKWb169bI2b96c2ZezevbsaQUFBVmHDx++ZrvQ0FALsPbu3Wv38SFDhlhAmlt0dHSmaxOR3OPSJct66CHLAssqVMiyfv01nYZRUZaVkODQ2kQyKr3vPOCmvpPFsFnWzc1fTUhI4PPPP6d///4kJCRQrVo1Xn75Zbp3747tBmd9vPTSSyxYsICff/6Z8uXLX7NtbGwshQsXZvny5TRv3jzN4/ZSdUBAANHR0Xh7e2fszYlIrpKUBB07wuzZZqHsJUugcWM7DaOi4P77zfW3GTOgQAFHlypyQ9L7zgPYvHkztWrVclZpuUKmB24nJCQwb948pkyZwqpVq7j77rvp0aMHR44c4c0332T16tVMnz79mq9hWRa9e/dm3rx5rF279roBCSAsLAwAf39/u497eHjc9KU/Ecl9kpPN1bLZs80mtXPnphOQzp41m7bt3GkGah87Bhr8Ki5K33nZK8MhacuWLUyZMoUZM2bg5ubGU089xdixY6lSpUpKm0ceeYQ6depc97V69erF9OnTWbBgAUWKFOHYsWMA+Pj44Onpyb59+5g+fTqtWrWiePHibNu2jb59+9KwYUOqV6+e0dJFJI+yLOjVy4y/zpcPZs0ys9rSuDzdbcsWKFHCTHdTQBLJszIckurUqUPTpk2ZMGECbdu2xd3dPU2b8uXL88QTT1z3tSZMmACYBSOvNmXKFLp160aBAgVYvXo148aNIzY2loCAANq3b8/bb7+d0bJFJI+yLHjtNZg40az7+N138MgjdhpeuGBW0v79dyhWzEx3u+o/fyKS92Q4JO3fv5+goKBrtilUqBBTpky57mtdbzhUQEAA69aty1B9IiJXGzIExowxx199BU8+aadRfDy0awdr15rpbitXgnqrRfK8DIekywHp0qVLnDhxguTk5FSPa+EqEXEVI0bAu++a488+g6efTqfhjh1mPQAvL1i6FO66y2E1iojrynBI2rNnDz169OC3335Ldd6yLGw2G0lJSVlWnIhIZn38Mbz5pjkeNcqMSfqvrRFnOBAVS/kSFbhzxQpISIAGDRxbqIi4rAyHpO7du5M/f34WL16Mv7//DU/zFxFxlEmToE8fc/zOO/D662nbjFyyk3lLN3G8iB8APRtVYEDLYIfVKCKuL8MhKSwsjM2bN6eazSYi4iqmTYOePc3xG2/A4MFp22w9dJoyg/qzePevdOnwLuElyzNx3X6a31GaOwOLObZgEXFZGd677fbbb9d+MCLikn74Abp2NTPaXnoJRo40M9pSsSwKvT2Qp7YuofiFaCpFXdmH8kBUrGMLFhGXluGQ9MEHH/DGG2+wdu1aTp06RUxMTKqbiIgzLFliZq4lJ5sB2h9/bCcgAbzzDrdNmwTAgBa9WXR7o5SHyvsVclC1IpITZPhyW0hICABNmjRJdV4Dt0XEWVavhvbtITHRBKVJk8DN3n8BR46EYcMAWNXzTWb73JPy0AuNKuhSm4ikkuGQ9NNPP2VHHSIimfK//0GbNmapo0ceubKqdhqffAIDB5rjkSNp2r8/8y7PbvMrpIAkuc6uXbsA8PPz0/I8mXTTG9y6upiYGHx8fLTBrUgu9McfEBJyZTeRefPA7jZWiYnQsCGsX29Gcg8d6vBaRRzh8nfe1Tw9vQgP36WglAmZ3uD2woULREREcOnSpVTntaeaiDhCWJjZh/bcOXjgAfjxx3QCEkD+/LBiBUyfDs8958gyRZyi2iMvUPr2usREHmTD10OJiopSSMqEDIekkydP0r17d5YtW2b3cY1JEpHs9tdf0LQpnD0L9evDwoXg6Wmn4b59ULGiOS5SBJ5/3pFlijiNX8Vq+AZWdnYZOV6GZ7f16dOHs2fPsmHDBjw9PVm+fDnffPMNlSpVYuHChdlRo4hIir17zSW2qCioXRuWLYPChe00XLIEgoNh+HCH1ygiuUOGe5LWrFnDggULuOuuu3BzcyMoKIimTZvi7e3NiBEjePDBB7OjThERIiKgSROIjISqVc0VtP8MvzBCQ810t4QE2L7drAtgd7qbiEj6MvyvRmxsLCVLlgSgWLFinDx5EoBq1aqxZcuWrK1ORORfR4+agBQRAbfdBqtWQfHidhr++is8/LCZ7tamDXz3nQKSiGRKhv/lqFy5Mrt37wagRo0afPHFF/zzzz9MnDgRf3//LC9QROTkSXOJbe9eKFfOdBSVLm2n4caNZprbhQtmVPesWeDu7uhyRSSXyPDltldeeYXIyEgAhgwZQosWLfj+++8pUKAAU6dOzer6RCSPO3PGDNLetQtuuQXWrIGyZe003LbtynS3+++HuXOvMd1NROT6MhySOnfunHJcu3ZtDh06RHh4OIGBgfj5+WVpcSKSt8XEQIsW8OefULKk6UEqXz6dxr/+ahLV5eluXl4OrVVEcp9Mr5MEZisST09PatWqlVX1iIgA5opZ69ZmwUhfX7P1SOVrzWh+4QXTsHlzM91fROQmZWo04+TJk6latSoFCxakYMGCVK1ala+++iqraxORPCouDtq2NVuOeHvDypVQrZqdhkeOQHT0lfsdOkDRog6qUkRyuwz3JA0ePJgxY8bQu3dv6tevD8D69evp27cvERERDPt380gRkcy4dAkee8zMXitUyKyDVLu2nYaRkWapbR8fsxaA3aluIiKZl+GQNGHCBL788kuefPLJlHMPP/ww1atXp3fv3gpJIpJpiYnQuTMsXgwFC8KiRXDPPXYa/ne624ULCkkikuUyfLktISGBu+66K8352rVrk5iYmCVFiUjek5wMTz8Nc+aYWfvz5pmOoquNXhFOj3ErOV6/kdmb5JZbzGjugADnFC0iuVqGQ1KXLl2YMGFCmvOTJk2iU6dOWVKUiOQtlgUvvmjWfcyXD2bPNrParlZn+CqmLt9Or9EvU2rfLk4VKmpGc1eo4JSaRST3y9TstsmTJ7Ny5UruvvtuADZs2EBERARPPfUU/fr1S2k3ZsyYrKlSRHIty4JXX4UvvgCbDaZNM4O2rzZ6RTjnTscw9cdh1Dq6mzMFi9Dp8Xdpcgher+KUskUkD8hwSNqxY0fKlP99+/YB4Ofnh5+fHzt27EhpZ7PZsqhEEcnNBg2CsWPN8VdfwRNPpG2z5dAZSp4/Q/kzR4kp4MVTjw8jvGR5ih0649hiRXKIqEN7sMjHxdNHnV1KjpbhkPTTTz9lRx0ikge9/z4MH26OP/vMjEmyp1ZQMdbv9+fxjiMpfiGa7f6VUs6LSFrb54xLOfb09NJiz5mkXR9FxCnGjYO33jLHo0dDr152GiUlQVgYrzevQokiBThUrAxbbgkGoGSRArzeXNfaROwJqmcG9U2bNo3w8F0EBgY6uaKcKcM9SXFxcXz66af89NNPnDhxguTk5FSPb9myJcuKE5Hc6YsvoG9fczx0KLz2mp1GycnQowfMnAlz57LxrVaMXhHOlkNnqBVUTAFJ5Bp8ywVzaMNygoODFZBuQoZDUo8ePVi5ciWPPvoodevW1dgjEcmQb781O4gA9O9vxiSlYVmma+mbb8x0t4sXARSMRMShMhySFi9ezNKlS2nQoEF21CMiudicOdC9u8lAvXvDiBFmRlsqlmW6liZONA9+8w20b++UekUkb8vwmKRbbrmFIto8UkQyaNEi6NjRXEV75hkzJsluR/SQIXB5+ZAvvwStvyYiTpLhkPTRRx/Rv39/Dh06lB31iEgutGoVPPqo2XakUyfTSeR21b8+szZG8ObcbWzr1R/efdec/OQTMyZJRMRJMny57a677iIuLo4KFSrg5eWFu7t7qsdPnz6dZcWJSM7388/Qpo3ZuLZdO5g61Qwzuqzt+F8IOxyNzUrm7p9+pzrABx+Y63EiIk6U4ZD05JNP8s8///D+++9TqlQpDdwWkXT98Qc8+KAZd92qFcyYAfmv+ldn1sYIwg5HA2DZ3OjT+lUWBTck5IEn6OCkmkVELstwSPrtt99Yv349NWrUyI56RCSXCAuD5s3h/Hlo3Bh++AEKFEjd5s/DZ6n1zy62lqmMZXMj2S0fqyrdTYnDZ+lQR9OWRcS5MjwmqUqVKlz8dzquiIg9f/0FTZvC2bPQoAEsWACenmnbPbjnV+Z8358Pl4wlX3JSyvkaAUUdVquISHoyHJJGjhzJq6++ytq1azl16hQxMTGpbiKSt+3dCyEhEBUFd90FS5ZA4cJ2Gi5ZQoNBL5PPSibJLR/J/166vzPAR71IIuISMny5rUULs9R5kyZNUp23LAubzUZSUpK9p4lIHnDoEDRpApGRUK0arFgBPj52Gq5ebdY+Skw0O9q+8j5PHj1HjYCiCkgi4jK0wa2IZImjR01AioiAypXNtH9fXzsN//c/M90tPh7atoVvv+Vxd3ced3TBIiLXkeGQ1KhRo+yoQ0RysBMnTEDatw8qVIDQUChVyk7Dy9PdLlyAFi3Mvmz/WUZERMRVZHhMEsDZs2f56KOPeOaZZ3jmmWcYO3Ys0dHRGX6dESNGUKdOHYoUKULJkiVp27Ytu3fvTtUmLi6OXr16Ubx4cQoXLkz79u05fvx4ZsoWkWxw+jQ0awbh4VC2rAlIt9ySTuPjx00P0gMPwNy54OHh0FpFRDIiwyFp06ZNVKxYkbFjx3L69GlOnz7NmDFjqFixIlu2bMnQa61bt45evXrx+++/s2rVKhISEmjWrBmxsbEpbfr27cuiRYuYM2cO69at4+jRo7Rr1y6jZYtINoiJMR1Cf/5peo5CQ6FcudRtmo9dR5VBS2k+dh089JBptHCh/eluIiIuxGZZlpWRJ9x3333ceuutfPnll+T/d1W4xMREnnnmGfbv38/PP/+c6WJOnjxJyZIlWbduHQ0bNiQ6OpoSJUowffp0Hn30UQDCw8MJDg5m/fr13H333dd9zZiYGHx8fIiOjsbb2zvTtYlIarGxJiD98gsULw5r10LVqqnblBuwhMAzkSTbbBwpWhqAgyMfdHyxInnE5e+8Cvc/xv61c5g2bRrBwcHXfI6fnx+BgZowYU+GxyRt2rQpVUACyJ8/P2+88QZ33XXXTRVz+ZKd77+jPTdv3kxCQgIhISEpbapUqUJgYGC6ISk+Pp74+PiU+1qWQCTrxcWZMde//GJmr61cmTYgNR+7jjIxJ5g+803cLIuOTwznoO8tNB+7jhV9NbZRJCuk9523f+0cwEbnzp2v+xqenl6Eh+9SULIjwyHJ29ubiIgIqlSpkur84cOHKVKkSKYLSU5Opk+fPjRo0ICq//5re+zYMQoUKEDRokVTtS1VqhTHjh2z+zojRoxg6NChma5DRK7t0iWzWe3q1VCoECxbBrVqpW134dBhvp/5FmVjTrLP9xZiC3gBcOh0bNrGIpIp6X3nBbfsRvGKVfH0KX7N58dEHmTD10OJiopSSLIjwyGpQ4cO9OjRgw8//JB77rkHgF9//ZXXX3+dJ598MtOF9OrVix07dvDLL79k+jUABg4cSL9+/VLux8TEEBAQcFOvKSJGYiJ06mQWiCxYEBYvhvr17TQ8eZJpMwcRdCaSwz6l6NRhOCcLFwMgyLeQY4sWycXS+84rfUddSlaq6bzCcokMh6QPP/wQm83GU089RWJiIgDu7u688MILjBw5MlNFvPTSSyxevJiff/6ZsmXLppwvXbo0ly5d4uzZs6l6k44fP07p0qXtvpaHhwcemjEjkuWSk6F79yt7sM2fD/ffb6fhmTPQrBlBxw8SWbg4Tz4xnGPefikP61KbSNbRd172yvDstgIFCvDxxx9z5swZwsLCCAsL4/Tp04wdOzbDH5RlWbz00kvMmzePNWvWUL58+VSP165dG3d3d0JDQ1PO7d69m4iICOrb/e+riGQHy4KePWHaNMiXD2bPNpvXpnHuHLRsaXa3LVUK/82/UajyrRR0t1G5VGEN2haRHOWGe5KSkpLYuXMnlSpVwtPTEy8vL6pVqwbAxYsX2bZtG1WrVsXN7cZzV69evZg+fToLFiygSJEiKeOMfHx88PT0xMfHhx49etCvXz98fX3x9vamd+/e1K9f/4ZmtonIzbMs6NsXvvwSbDYTlNq0SadxfLy5+fqaQUu33caK225zaL0iIlnlhhPNd999x9NPP02BAgXSPObu7s7TTz/N9OnTM/TDJ0yYQHR0NPfffz/+/v4pt1mzZqW0GTt2LK1bt6Z9+/Y0bNiQ0qVLM3fu3Az9HBHJvLffho8/NseTJ5ut1tLl5wdr1sBPP6Wd7iYiksPccE/S5MmTee2118iXL1/aF/l3CYDPPvvshqYbXnYjSzQVLFiQ8ePHM378+Bt+XRHJGsOHw/vvm+Px482YpDQSEswCkf9ufk2xYuYmIpLD3XBP0u7du695iatOnTrs2rUrS4oSEecbM8b0IgF8+CG8+KKdRpenu7VsaVKUiEgucsMhKTY29poLM547d44LFy5kSVEi4lwTJ8Krr5rjYcOuHF9t1oaDbGnaDubMMZvUVqjg2CJFRLLZDYekSpUq8dtvv6X7+C+//EKlSpWypCgRcZ5vv4UXXjDHAwZc6U26WtvP/kdCzxeptXYRiTY3RnR7x/QmiYjkIjcckjp27Mjbb7/Ntm3b0jz2559/MnjwYDp27JilxYmIY82efWXc0csvm/FINlvqNrP+OETrbz6ic9gykrHRr/WrfOFbg1kbIxxfsIhINrrhgdt9+/Zl2bJl1K5dm5CQkJRtScLDw1m9ejUNGjSgb9++2VaoiGSvhQvN8KLkZHjmGRg3Lm1AAigxejgdNi0AoH/L3iy83SwO+efhs3Soo20NRCT3uOGQ5O7uzsqVKxk7dizTp0/n559/xrIsbrvtNoYPH06fPn1wd3fPzlpFJJusXAmPPXZlHPbEifYDEpZFyaJmW5HBIc8zp3qzlIdqBBR1TLEiIg6SoW1J3N3deeONN3jjjTeyqx4RcbCff4a2bc3Gte3bw9SpZlVtu2w2qn45lteLBjMn3y0pp+8M8FEvkojkOhnelqRChQqcOnUqzfmzZ89SQbNbRHKUDRvgwQfh4kVo1QqmT4f89v7rtGgRxMam3B09+jk+aF+NjnUD+KB9Neb1utdxRYuIOEiGN7g9ePAgSUlJac7Hx8fzzz//ZElRIpL9tm416z+ePw9NmsCPP5qNa9P49lvo1g0aNDDX5Tw9AehQJ1C9RyIuKurQHizy4e5h7y/1FTGRBx1TUA51wyFp4cKFKccrVqzAx8cn5X5SUhKhoaGUK1cuS4sTkeyxcyc0awZnz8K998KCBVCwoJ2Gc+aY6W6WBTVrptNIRFzN9jnjbritp6cXfn5+2VdMDmazbmRvEEjZuNZms6XZTsTd3Z1y5crx0Ucf0bp166yv8ibExMTg4+NDdHQ03t7ezi5HxOn+/hsaNoRjx6BOHbMPrd2/GosXwyOPmNHcPXrApEmQgQ2sRcTxLn/nBdVrwaENy5k2bRrBwcHXfI6fnx+BgeoVtueGe5KSk5MBKF++PBs3blTqFMmBDh0yl9aOHYPq1WH58rQBadbGCGIXL6PriJfJl5gIHTvCF18oIInkIL7lgjm0YTnBwcHUqlXL2eXkWBn+V+/AgQNpApJlWSxbtoxHH300ywoTkaz1zz/QuDEcPgxVqsCqVeDrm7pN2/G/8MO4GTz5/ivkS7jE+hoNrzPdTUQk97qp/xoeOHCAQYMGERgYyCOPPEJcXFxW1SUiWejECQgJgf37zRZrq1dDyZKp28zaGEHY4WguFPDkorsHP1WoTdeQvswKi3RO0SIiTpbh2W3x8fH88MMPTJ48mV9++YWkpCQ+/PBDevTooTE/Ii7o9Glo2hTCwyEgAEJD4ZZb0rb78/BZAHaWqki7zqOJLOLHpfzuWklbRPKsG+5J2rx5My+++CKlS5dm3LhxtG3blsOHD+Pm5kbz5s0VkERcUHQ0NG8O27ZB6dImINmdhPrXXzQ+sy/l7kHfW4h39wC0kraI5F033JNUr149evfuze+//07lypWzsyYRyQKxsWahyE2boHhxc4mtUiU7DffuhZAQQmJi6PD8h8xyD0h5SCtpi0hedsMhqUmTJkyePJkTJ07QpUsXmjdvjs3u5k4i4mxxcdCmDfz6K/j4mEHad9xhp+Hl6W6RkVC1Kh+8+Ri19sfy5+Gz1AgoqoAkInnaDYekFStWcPjwYaZMmcILL7zAxYsX6dChA4DCkogLuXQJHn3UXForXNhM87/zTjsNjx41ASkiAm67zXQ1FS9Oh+LFFY5ERMjg7LaAgAAGDx7MgQMH+O677zh58iT58+enTZs2vPnmm2zZsiW76hSRG3B5WaMlS8zuIYsXw91322l44oQJSPv2QfnyJlGVKuXwekVEXFmmlwBo2rQp06dP5+jRo/Tu3Ztly5ZRp06drKxNRDIgKclssXZ5D7Z586BRIzsNz5wxe5KEh0PZsiYglS3r6HJFRFzeTS+hW6xYMXr37s3WrVvZuHFjVtQkIhlkWdCzJ3z/PeTPb7Zca948ncaenhAYaHqOQkNNT5KIiKSR4ZC0fPlyfvnll5T748ePp2bNmnTs2JHy+sdWxOEsC/r0ga++MjuHTJsGDz98jScULGi6m377zYxFEhERuzIckl5//XViYmIA2L59O6+++iqtWrXiwIED9OvXL8sLFJH0WRa8+SZ88om5//XX8O98itTi4swGtZc3p3Z3N0tvi4hIujK84vaBAwe4/fbbAfjxxx9p3bo177//Plu2bKFVq1ZZXqCIpO+992DkSHP8+efQtaudRpenuy1ZArt3w0cfObRGEZGcKsM9SQUKFODChQsArF69mmbNmgHg6+ub0sMkItnvo49g8OArxy+8YKdRYiJ06mQCUsGC8NBDDq1RRJwj+vgRAHbt2kVERISTq8m5MtyT1KBBA/r160eDBg34448/mDVrFgB79uyhrGbIiDjE55/Da6+Z43ffBbtXupOT4emn4YcfzHS3+fPh/vsdWKWIOMv+tXMAG507d8bT04vw8F0EBmr9s4zKcE/S+PHjcXd354cffmDChAnc8u9OmcuWLaNFixZZXqCIpDZ1KvTqZY4HDoS33rLTyLJM19J330G+fDB79jWmu4lIbhPcshv3vjSaek8P4eLFC0RFRTm7pBwpQz1JiYmJrF27li+//JLSpUunemzs2LFZWpiIpDVrFvToYY5feQWGDwe7C96/9poZqG2zmelubdo4tE4Rca7Sd9SlZKWanI7Y7exScrQM9STlz5+fnj17Eh8fn131iEg6FiyAzp3NVbRnn4WxY9MJSAB33WVmsE2eDE884dA6RURyiwxfbqtbty5bt27NjlpEJB0rVsDjj5tx2J07w4QJ1whIAE8+CXv2QPfuDqtRRCS3yfDA7RdffJFXX32VI0eOULt2bQoVKpTq8erVq2dZcSICa9dC27ZmJn/79jBlihlmdNnoFeFsOXSGLrvX0qrfU/DvOEHKlXNCtSIiuUeGQ9IT/3bdv/zyyynnbDYblmVhs9lISkrKuupE8rj166F1a7MW5IMPwvTpZtuRy+oMX8XJc5foGLaMVivGc2TKp5Td/xcULeq0mkVEcotMLSYpItlv61Zo2RJiYyEk5MpM/stGrwjn5LlLtNsRynsrPgdg0W0NOP97JK+3KOqcokVEcpEMh6SgoKDsqENErrJzJzRtCtHRcO+9ZomjggVTt9ly6Aytwn9h9NKPccNiSu2H+KBRV+pHnHVGySIiuU6GQ9Jlf/31FxEREVy6dCnV+YevubOmiFzPnj3QpAmcOgV16pjFsv8z9A+AxyLDeGjRaPJZycys3oxhTZ4Fm41aQcUcX7SISC6U4ZC0f/9+HnnkEbZv354yFgnMuCRAY5JEbsLBgyYgHT8ONWrA8uXg7W2n4U8/0e79PpCcxPzbG/Fm815YNjdKFinA682rOLhqEZHcKcNLALzyyiuUL1+eEydO4OXlxc6dO/n555+56667WLt2bTaUKJI3/PMPNG4MR45AlSqwciX4+qbT+LbboEIFaNeOvaM/o96tJej1QEX+eKupQ2sWEcnNMtyTtH79etasWYOfnx9ubm64ublx7733MmLECF5++WWtoSSSCcePmx6kAwegYkUIDYWSJa/xhFtugf/9D7y9ee3q0dwiIpJlMtyTlJSURJEiRQDw8/Pj6NGjgBnQvXu3lj8XyajTp80g7d27ISDABKQyZew0DAsz+5Jc5ueXerqbiIhkqQyHpKpVq/Lnn38CUK9ePUaNGsWvv/7KsGHDqFChQoZe6+eff+ahhx6iTJky2Gw25s+fn+rxbt26YbPZUt20ia7kJtHRZt/Z7dvB3x/WrAG7E0j/+sskqSefhIULHV6niEhelOHLbW+//TaxsbEADBs2jNatW3PfffdRvHhxZl39v9wbEBsbS40aNXj66adp166d3TYtWrRgypQpKfc9PDwyWrKISzp/Hlq1gk2bTKfQ6tVw662p23Sf8gcx2/5i8pTXKBp9yuzJ1qiRcwoWEcljMhySmjdvnnJ86623Eh4ezunTpylWrFjKDLcb1bJlS1q2bHnNNh4eHpQuXTqjZYq4tIsXoU0b+O03szj2qlVw++2p21QcuITSZ08w+/v+FD13il0lyhG8YgX4+DilZhHJOaIO7SEh0eL8iQgAdu3alaaNn58fgYGBji4tR8n0Okl79+5l3759NGzYEF9f35SlALLa2rVrKVmyJMWKFaNx48a89957FC9ePN328fHxxMfHp9yPiYnJlrpEMuvSJXj0UXNprUgRs3ltzZqp23Sf8gfFY04xfeab3HLuJHt9y9K5w3tUX7CXKd3rOqVuEXE96X3nbZ8z7qpWNjp37pzmuZ6eXoSH71JQuoYMh6RTp07x+OOP89NPP2Gz2fj777+pUKECPXr0oFixYnz00UdZVlyLFi1o164d5cuXZ9++fbz55pu0bNmS9evXk+/qHT6vMmLECIYOHZplNYhkpcREM6xo6VLw9DQLRda1k3kO7j/K9JlvEXT2GIeKlqbTE+9xqlBRdh6NdnzRIuKy0vvOC27ZDW9/M8DR3asInj6pOxdiIg+y4euhREVFKSRdQ4ZDUt++fXF3dyciIoLg4OCU8x06dKBfv35ZGpIub6YLUK1aNapXr07FihVZu3YtTZo0sfucgQMH0q9fv5T7MTExBAQEZFlNIpmVlARdu8LcuWZS2oIFcN999tuWK+/PTxXvwishjk5PDOd4ET8A7iijS20ickV633ml76hLyUo1nVdYLpHhkLRy5UpWrFhB2bJlU52vVKkShw4dyrLC7KlQoQJ+fn7s3bs33ZDk4eGhwd3icpKToWdPmD4d8uc3m9U2vca6j1OerkfFPT34/O7HOONlglE+G7rUJiKp6Dsve2V4CYDY2Fi8vLzSnD99+nS2f1BHjhzh1KlT+Pv7Z+vPEclKlgV9+sBXX4GbmwlKDz1kp2FsLAwaBHFxAOwb2Zqad95KySIFeKByCfaNeNChdYuI5HU33JN09OhRypQpw3333ce3337Lu+++C5g925KTkxk1ahQPPPBAhn74+fPn2bt3b8r9AwcOEBYWhq+vL76+vgwdOpT27dtTunRp9u3bxxtvvMGtt96aaoadiCuzLBg4ED791NyfMgUee8xOw7g4M90tNNSsKjl7tmmvniMREae54ZB0xx13MH78eEaPHk3jxo3ZtGkTly5d4o033mDnzp2cPn2aX3/9NUM/fNOmTamC1eXrql27dmXChAls27aNb775hrNnz1KmTBmaNWvGu+++q65FyTHeew8++MAcT5wITz1lp9Hl6W6hoVC4MFw1vkBERJznhkPS8OHDef7552nRogV//fUXEydOpEiRIpw/f5527drRq1evDF8Gu//++6+5dMCKFSsy9HoiruTDD2HwYHM8diw8/7ydRomJ0LGjmeZWsCAsXgx33+3QOkVExL4bDkkvvvgiLVu2pEePHtxxxx1MmjSJt956KztrE8mxPv8cXn/dHL/3nhmTdLVZGyPYdvAUz349jHLL55vpbvPnazVtEREXkqHZbeXLl2fNmjV89tlntG/fnuDgYPLnT/0SW7ZsydICRXKaKVOgVy9z/Oab8N//S7Qd/wthh6MZsvoLym1eRKJbPvLPmWM2cRMREZeR4SUADh06xNy5cylWrBht2rRJE5JE8rKZM6FHD3Pcp4/pRbrarI0RhB02C0IuqtKQtjvXMqjZC9znX5MOji1VRESuI0MJ58svv+TVV18lJCSEnTt3UqJEieyqSyTHmTcPOnc2M9qeew7GjIH/bmf45+GzKcdbygbT6PkviSlYGO/DZ+lQR6veioi4khsOSS1atOCPP/7gs88+4ym7U3RE8q7ly6FDB7OqdufOMGFC2oAE8Nj/fuDPs37sLFURgJiChQGoEVDUgdWKiMiNuOGQlJSUxLZt29KstC2S161dC488AgkJZib/lClm0cg0xozhznHvMsuzMA88PYGThYsBcGeAj3qRRERc0A2HpFWrVmVnHSI50vr10Lq1WQuydWv4/nuz7UgaEybAq68CUPjN/rzWvCF/Hj5LjYCiCkgiIi5Ko65FMmnzZmjRwuwmEhICc+aYmfxpfPMNvPiiOR44EN56iw42m8KRiIiLU0gSyYQdO6BZM4iJgfvuM0scFSxop+GsWfD00+b4lVdg+HD7g5VERLJQ1KE9JCSmXaw5f/78uHsUICbyoOOLyoEUkkQyaM8e03N0+jTUrWsWyS5UyE7DtWvNKO7kZDPdbexYBSQRcYjtc8Zdt42npxd+fn7ZX0wOppAkkgEHDkCTJnD8ONSoYWa1eXun07hOHbOCdpky6U93ExHJBsEtu+HtH5TqXGxUJDsWTmLatGkEBwfj5+dHYKAu+1+LQpLIDTpyxASkI0cgOBhWroRixVK3Gb0inC2HzlArqBivN69iupny509nupuISPYofUddSlaqmerc6Yjd7Fg4ieDgYGrVquWcwnIYhSSRG3D8uAlIBw5AxYqwejWULJm6TZ3hq7hl93buOfQn4+9+jNmbDrPxrabOKVhERG6aQpLIdZw6ZcYg7dkDgYEQGmquoF1t9IpwSu7dxbezB+MdH8spLx9m1WjO6BXhpkdJRERyHF0DELmG6Giz7+yOHeDvbwJSUFDadifWb+bbWYPwjo9l4y23szC4EQBbDp1xcMUiIpJV1JMkko7z56FVK7MeUokSJiDdequdhn//zZBP+lD4Ygxh/pXo/tg7XCxg1gOoFVTMzhNERCQnUE+SiB0XL8LDD8Nvv0HRorBqlRmsncbBg9CkCYXPRLGndAW6PjaM8x5eAJQsUkCX2kREcjD1JIn8R3w8tG8PP/0ERYrAihVmun8aFy+awUqHD0OVKty2bh2dt55OPbtNRERyLIUkkaskJsKTT8KyZeDpCUuWmAUj7fL0hP79YfTolOlurzcvmU5jERHJaXS5TeRfSUnQtSvMmwceHrBwodly5JqefRa2bYNbbnFIjSIi4jgKSSKYnUOefx6mTzdrP/7wg7mSlkZ0NHTvDidPXjlnd9M2ERHJ6XS5TfI8yzJ7z06ebBbGnjEDWrdO3WbWxgh27TnKS6Newm/bZti/3+zNpq1GRERyLYUkydMsCwYMgM8+M3nnm2/g0UdTt2k7/hd27T/B1z8Oxe/QNs57FqbwuHEKSCIiuZwut0me9u67MGqUOZ44ETp3Tv34rI0R7DwYxYT5I2hwaBvnC3jS+dGhzEos7vhiRUTEoRSSJM8aPRqGDDHH48bBc8+lbbP9YBSfLBxN4/2buJjfg6cfHUJYmcr8efisI0sVEREn0OU2yZPGj4c33jDH779vxiTZ02Xe51Te8xvx+fLzbLu3+SOgKgA1Aoo6plARkUyIOrSHhEQr1bnzJyIA2LVrFwB+fn4EBgY6vLacxGZZlnX9ZjlXTEwMPj4+REdH4+3t7exyxAV8/TX06GGO337bXHJL14ED/HN3Iwbf143QW+sBcGeAD/N63Zv9hYqIZNDl77z02QDzte/p6UV4+C4FpWtQT5LkKTNmwDPPmON+/WDYsOs8oXx5bjmyj2ZhkZQ6fJYaAUXpUEf/oIiIawtu2Q1v/7S7cbt7FcHTpzgxkQfZ8PVQoqKiFJKuQSFJ8ox586BLFzOjrWdP+PBDOxPULAsGD4a77oI2bcw5d3c61AlUOBKRHKP0HXUpWamms8vI8RSSJE9Ytgw6dDCraj/1lBmTZHcG/3vvmVv+/LB7N1So4PBaRUTENWh2m+R6P/0E7dpBQgI8/viVRSPT+PBD04sEZl0ABSQRkTxNPUmSq/32Gzz0EMTFmV+nTTOdRFdrPnYd96ycxZDlE8yJ996Dvn0dX6yIiLgU9SRJrrV5M7RsCbGx0LQpzJ4N7u6p25QbsIRqq+enBKTP6j8Ob73lhGpFRMTVKCRJrrR9OzRrBjEx0LAhzJ+fdh/a5mPXUevILj5Y9gkAk+9qw4f3daH52HWOL1hERFyOLrdJrrN7N4SEwOnTULcuLF4MXl5p2x06HUv8LZWZVb0pYOPdxs+Azcah07EOr1lERFyPQpLkKgcOQJMmcOIE1KwJy5dDkSL22wb5FmL38fO82fwlbFgp092CfAs5rmAREXFZutwmucaRI9C4MfzzDwQHw8qVUKyYnYZr18LTT7PipXvMfZsNy3blr8KKvo0cUq+IiLg29SRJrnDsmOlBOngQbr0VQkOhRAk7Ddevh9atzWjuypU5OLI/zceu49DpWIJ8CykgiYhICoUkyfFOnTKz1/bsgcBAE5D8/e003LLlynS3kJCUXW0VjERExB5dbpMc7exZM4ttxw4TjNasMUEpjR07TMPoaLj3XvvT3URERK7i1JD0888/89BDD1GmTBlsNhvz589P9bhlWQwePBh/f388PT0JCQnh77//dk6x4nLOn4dWrUwHUYkSpgepYkU7DffsMT1Hp05BnTqwZAkU0uBsERG5NqeGpNjYWGrUqMH48ePtPj5q1Cg++eQTJk6cyIYNGyhUqBDNmzcnLi7OwZWKq7l4ER5+2AwxKlYMVq0yg7WvNmtjBG/P3sy5kBZw/DjUqGGmu3l7O6doERHJUZw6Jqlly5a0bNnS7mOWZTFu3Djefvtt2vy7G/u3335LqVKlmD9/Pk888YQjSxUXEh9v9mL76SczvX/FCpN/rtZ2/C+EHY4GYP89PRi6fhqVVq4EX18nVCwi4lhRh/aQkGil+/j5ExEA7Nq1y1ElpeLn50eg3bERrsVlB24fOHCAY8eOERISknLOx8eHevXqsX79+nRDUnx8PPHx8Sn3Y2Jisr1WcZyEBHjySdMh5OUFS5eaK2hXm7UxIiUgAfxWribNgqoz8lAcHUo6uGARkWyU3nfe9jnjbuDZNjp37pw9hV2Hp6cX4eG7XD4ouWxIOnbsGAClSpVKdb5UqVIpj9kzYsQIhg4dmq21iXMkJUHXrjBvHnh4wIIFZgz2f+356yDfzB7MsMbPss8vAADL5safh8/SoY5r/4UUEcmI9L7zglt2w9s/6JrPdfcqgqdP8ewqLV0xkQfZ8PVQoqKiFJIcbeDAgfTr1y/lfkxMDAEBAU6sSLJCcjI8+yzMmGE2qf3xRzMWO43oaHqNfAnfA9v5dNEoHuz2ccpCkTUCijq0ZhGR7Jbed17pO+pSslJN5xWWS7hsSCpdujQAx48fx/+qRW+OHz9OzZo1032eh4cHHh4e2V2eOJBlwcsvw5Qp4OZmgtKDD9pp+O90N9/w7UQX9uHlh15PCUh3BvioF0lEch1952Uvlw1J5cuXp3Tp0oSGhqaEopiYGDZs2MALL7zg3OLEYSwL+veH8ePN1mrffAPt29tpePEitGkDv/0GRYvi89NPPJvgy5+Hz1IjoKgCkoiIZJhTQ9L58+fZu3dvyv0DBw4QFhaGr68vgYGB9OnTh/fee49KlSpRvnx5Bg0aRJkyZWjbtq3zihaHGjYMRo82x198AXbHGMbHm+S0Zg0ULmxGddesSQdQOBIRkUxzakjatGkTDzzwQMr9y9dVu3btytSpU3njjTeIjY3lueee4+zZs9x7770sX76cglopOU8YNQreecccjxtnxiTZNXQoLFsGnp5moch69RxUoYiI5GZODUn3338/lpX+Og42m41hw4YxbNgwB1YlruCzz8xlNoARI1K2WbOvf3/YsAEGDICGDR1Sn4iI5H4uOyZJ8q7Jk6F3b3M8aJDJPlcrN2CJGaxks3Fw5IPg4wOrV5tBSyIiIllEIUlcyvTpVy6r9etnrqRd7XJAGhI6iX+8S1BuACYoKSCJiEgWU0gSlzFvHjz1lOkk6tkTPvwwdfa5HJD6r/uG7psXkYyN/5WvRbkBS0xQEhERyUJO3eBW5LKlS6FDhyural+e8v9fL/82kxc2/ADAW817sbtEOccWKiIieYZCkjjdmjVmBn9CAjz+uBmT5GbnT+azG+bS75fvARjW+Flm1Gzh4EpFRCQvUUgSp/r1V3j4YYiLM2tBTpsG+fLZafj557y19msARjV8iq/rtEl5SJfaREQkO2hMkjjNpk3QqhXExkKzZjBrltmXLY1t26BXL3P81lt8nlg/5SEFJBERyS4KSeIU27aZYBQTY5Y2mjcP0t1+qHp1GDMGDh+Gd9/loGayiYiIAygkicOFh0PTpnDmjFkce/Fi8PKy0/DftZAA6NvXoTWKiORkUYf2kJCY/mLNjpA/f37cPQqkOR8TedDxxWSSQpI41L590KQJnDgBd95ptlkrUsROw+XLYeRImD8fihZ1cJUiIjnb9jnjnF3CNXl6euHn5+fsMq5LIUkc5vBhE5COHoXbb4eVK1Pnn8pvLSU+yaLh4W18O3eYGc09ejQMH+60mkVEcqLglt3w9g9y2s+PjYpkx8JJTJs2jeDg4DSP+/n5ERjo+huQKySJQxw7ZgLSoUNw661mF5Gr/xNRbsASAGod2cWEOcMgIQ4eegiGDHFSxSIiOVfpO+pSslJNp/380xG72bFwEsHBwdSqVctpddwsLQEg2S4qCkJC4O+/ISgIQkPB3//K45XfWgpA1WN7mTpnCIUS4vi53J1UC34aCqS9ni0iIuII6kmSbHX2rJnFtnMnlCljAtJ/e1jjkyxuO3mQ72YNwvvSBTaUvYPnH3mLizZ76wGIiIg4hnqSJNucOwctW8LWrVCihLnEVrFi2nYF3Sw+XvQhxeLOEeZ/Gz0eHcLFAgXxyKep/iIi4jzqSZJsceGCGVL0++9QrJgJSHbG7gEQ/n5rmpw8wps/fU3f1q9y3sOsB7B7eCsHViwiIpKaQpJkufh4aNcO1q0z0/tXrDDrQaaRnJyySVvolz2p/FYg8UkWHvlsCkgiIuJ0CkmSpRISoEMHE4y8vGDpUqhTx07D48fNtbhRo8yobtRzJCIirkVjkiTLJCVBly6wYIHZYmThQrj3XjsNT50ywWjrVrMnW2Kiw2sVERG5HoUkyRLJyfDMM1c2qZ0716yLlMbl6W47dph1AJYuhfzq0BQREdejkCQ3zbKgd2+YOhXy5YMZM6CVvStn58+bB7ZsMdPdQkPtT3cTERFxAQpJclMsC954Az7/3OxF+8030L592nZ13lzAb3c0gPXrzV4kq1alP91NRETEBSgkyU0ZOhQ+/NAcf/kldOqUtk25AUto/9t87onYxrkCnrR5aBDUqOHYQkVERDJIg0Ek0z74wIQkgE8+gR490rapPmQ5AF/WfYSgM0eZW7Uxf5apTPUhy9k2tIUDqxUREckYhSTJlE8/hQEDzPHIkWZMUhpJSZyLSwCbG0lu+RjY8uWUh2LikxxTqIiISCYpJEmGffUVvPxv3hk8GPr3t9MoORmef54Pt/zD6yEvkOyWL9XD3h757DxJRESyQtShPSQkWtdtlz9/ftw9sn4j8ZjIg1n+ms6gkCQZ8v338Nxz5vi11+Cdd+w0six45RWYPJn2bm5MuyOErbdUSdVEl9pERLLP9jnjnF0Cnp5e+Pn5ObuMm6KQJDds7lzo2tVkoBdfNItl2/67B61lma6lzz5Lme42r3Nnqg9ZTkx8Et4e+RSQRESyWXDLbnj7B12zTWxUJDsWTmLatGkEZ8NsYz8/PwIDA7P8dR1JIUluyNKl8MQTZlXtbt3MmKQ0AQlg2DAYPdocT5wInTsD6jkSEXGk0nfUpWSlmtdsczpiNzsWTiI4OJhatWo5prAcRksAyHWFhpoNay/vy/bVVyn70qY2atSV62/jxl25LiciIpIDKSTJNf36Kzz8MMTHQ5s28N13ZlXtNPbvh7ffNscjRpgxSSIiIjmYLrdJujZuhJYt4cIFaN78yr5sV2s4ag2R0Rfx9/Hk5x9/NJvWXl4bQEREJAdTSBK7tm0zwejcObj/fjNo28MjdZtyA5bgnpRAQj53Ik5fpNyvbhwcOdgp9YqIiGQ1XW6TNMLDISQEzpyBu++GhQvByyt1m4aj1tB8z2+snPwiAWePpTovIiKSGygkSSr79kGTJnDyJNx5JyxbBkWKpG1Xacv/+HTBKMqfiaTLliUp5yOjLzqwWhERkeyjkCQpIiJMQDp6FO64A1auhKJF7TRcs4bPf3yfAsmJLK5yHyPv75bykL+Pp6PKFRERyVYKSQJAZKQJSIcOQaVKsHo12F0o9d/pbh6Jl1h1az36tH411ZYjP7/R2HFFi4iIZCOFJOHkSTMGae9eCAoy6yKVLm2n4aZN0KoVxMZCs2Y03b6WMiWK4J4PAn09OTjyQUeXLiIikm00uy2PO3MGmjWDv/6CMmVgzRoICLDT0LLg1VchJgYaNoR586BgQfUciYhIrqWepDzs3DmzDlJYGJQsaXqQKlRIp7HNBj/+CM88A4sXp53uJiIiksu4dEh65513sNlsqW5VqlS5/hPlui5cgNatYcMG8PWFVavA7m/txatmq/n5wZdf2p/uJiIiksu4dEgCuOOOO4iMjEy5/fLLL84uKceLi4O2beHnn8HbG1asgOrVU7cpN2AJ9V+cyqEyFeCLL5xSp4iIiDO5fEjKnz8/pUuXTrn52Z1yJTcqIQEef9z0HHl5wdKlcNddqduUG7CEEufPMG3W2wSdPcb+gcNS9yiJiIjkAS4/cPvvv/+mTJkyFCxYkPr16zNixAgCAwPTbR8fH098fHzK/ZiYGEeUmSMkJUHnzrBokdliZNEiaNAgdZtyA5ZQ7EI03816m4qn/+GId0k6P/EeR4eu0ew1EREXk953XtShPSQkWtd87vkTEQDs2rUr+wp0IX5+ftfMD/bYLMu69u+iEy1btozz589TuXJlIiMjGTp0KP/88w87duygSDrjYt555x2GDh2a5nx0dDTe3t7ZXbLLSk6Gp5+Gb74xm9TOn29m8/9X9T6z+H7mW1Q7vo9jhX15vOMHRBTzB1BIEhFxMel95904G+CyMSBLeXp6ER6+K0NByaVD0n+dPXuWoKAgxowZQ48ePey2sZeqAwIC8nRIsix48UWYOBHy5YPZs6FdOzsNz51jc5W61D4aTpSXDx06jmRf8SvrASgkiYi4lvS+84JbdsPbP+i6z3f3KoKnT/HsLNElxEQeZMPXQ9m8eTO1atW64ee5/OW2qxUtWpTbbruNvXv3ptvGw8MDj/9uV5+HXV7eaOJEM4v/22/TCUgAs2ZR+2g4ZwsWpkuHdxWQRERcXHrfeaXvqEvJSjUdX1Au4/IDt692/vx59u3bh7+/v7NLyTEGD4axY83xV19Bx47XaNyjB4wcSdGf17Cr5JUFkxSQREQkL3LpnqTXXnuNhx56iKCgII4ePcqQIUPIly8fTz75pLNLyxFGjID33jPHn35qxiSlkZBgRnQXLGi6mvr3B+BgHcfVKSIi4opcOiQdOXKEJ598klOnTlGiRAnuvfdefv/9d0qUKOHs0lzexx/Dm2+a4w8+gJdestMoKQmeegpOnIAFC6BwYYfWKCIi4spcOiTNnDnT2SXkSJMmQZ8+5njIEHjjDTuNkpPNFiMzZ5rpblu2mD3ZREREBHDxkCQZ99130LOnOX79dROSrlZx4BKSki3eXT2RLluWgJsbzJihgCQiIvIfCkm5yA8/QLduZkZbr17mMpvNduXxcgOWgGXx5k9f02XLEpKx4fbNN9C+vdNqFhERcVU5anabpG/JEnjyySuLRn7ySeqAVHHgEgD6/jKd5zbOA+DN5r2ouLOYM8oVERFxeepJygVWrzadQYmJJihNmmSuol0tyYIS50/TbfNCAN5p8hwza7bIKwutioiIZJhCUg73v/9BmzYQHw9t25ptR/LlS9sunw1OFvblySdHUPfwDqbe9XDKeREREUlLl9tysD/+gAcfhAsXoEWLKxPV0jhzhn0jzIKQf5WqkBKQgJTzIiIikppCUg71558mGJ07Bw88AHPngt3dWL7/HipUgF9/5eDIB1N6jvLZtJK2iIjItehyWw60axc0bQpnzkD9+rBwIXh62mk4dy507WoWjZw7Fxo0UM+RiIjIDVJPUg6zdy80aQInT0KtWrBsWToLZS9dCk88YQJSt24werSjSxUREcnR1JOUg0REmIAUGQlVq8LKleDjY6dhaCi0a2f2ZevQwexs+9/pbiIikmtFHdpDQmLumb6cP39+3D0KZPr5MZEHM/dzM/0TxaEiI01AioiA226DVaugePHUbcoNWELtI3/x3exBeCXEm2lv331nf7qbiIjkWtvnjHN2CS7H09MLPz+/DD1HISkHOHkSQkLMpbby5U1HUenSqduUG2AWi+y+eRFeCfGsK1+LRrNmpTPdTUREcrPglt3w9g9ydhlZIjYqkh0LJzFt2jSCg4Mz/Tp+fn4EBgZm6DkKSS7uzBlo1gz++gtuucUEpLJlU7e5HJAA+j3Yj7+LB/BFvXbEDVmtGWwiInlQ6TvqUrJSTWeXkSVOR+xmx8JJBAcHU6tWLYf+bA1UcWExMWaaf1gYlCxpAlL58mnbFY89azZsAy7ld+fjezsS517QobWKiIjkNgpJLurCBWjd2iwY6etrth6pXNlOw337WDL1ZQat+SolKImIiMjNU0hyQXFxZouR//0PvL3NLLZq1ew0PHwYmjSh9PnT3HtwK4UvXUz1sC61iYiIZJ5CkotJSIDHHzez1woVMusg1a5tp+GxY2a626FDUKkSlbdv4LyHV8rDCkgiIiI3RwO3XUhiInTqBIsWQcGC5td77rHTMCrKTHf7+28ICkqZ7qZgJCIiknXUk+QikpOhRw+YM8fM2p871+zJlsbZs2a6286dUKYMrFkDAQGOLldERCTXU0hyAZYFL74I335r1n2cNQtatkyn8f/+Z3a3vTzdrUIFh9YqIiKSV+hym5NZFvTrB198ATabWSD7kUeu8YSHHjIp6rbboEoVh9UpIiKS1ygkOdmgQTBunDn+6it48sm0be54Yz4ecRc4V9iHv99/EB591KE1ioiI5EW63OZE778Pw4eb488+g6efTtvm1tcXMHb+B8z5vj/Fz0alWl1bREREso9CkpOMGwdvvWWOR42CXr3Stqk8YCFjF39Es79/p2z0cYLORgJQ6U0FJRERkeymkOQEX3wBffua4yFD4PXX7TRKTua9JZ/yUPj/uOSWn56PvMmGQLOiZEKy42oVERHJqxSSHOzbb+GFF8zxG2+YkJSGZcFLL/HYjtUk2tx4+eHX+alinZSH3fWpiYiIZDsN3HagOXOge/eUDMTIkWZGWyqWBa+9BhMmgM3Gqw/2ZXnlBqma/P2+Fo0UEZH0RR3aQ0Ki/f088+fPj7tHAQdXlHkxkQed9rMVkhxk0SLo2PHKopEff2wnIAFER8OCBeb4yy/5uEcPlr65hIRk04OkgCQiItezfc44Z5eQpTw9vfDz83P4z7VZVu7eOj4mJgYfHx+io6Px9vZ2Sg2rVkHr1nDpkglKlxeNTFdkJKxeDV26OKxGERHJ+S5/5wW37Ia3f1Cax2OjItmxcBLTpk0jODjYCRVmjp+fH4GBgQ7/uepJymY//wxt2piA9Mgj8M036QSk/fuvrJ7t76+AJCIimVb6jrqUrFQzzfnTEbvZsXASwcHB1KpVy/GF5TAaApyNNmyABx+EixfNNiMzZkB+e7F00iSoXBm+/97hNYqIiIh9CknZJCwMWrSA8+fNRrU//ggeHqnbvDo7jJEd3yS5Z09ITDR7somIiIhLUEjKBn/9BU2bwtmzcM89sHAheHqmbhM8aBkXps/i9Zkf4GZZTK/9IHzwgVPqFRERkbQUkrLY3r0QEgJRUVC7NixdCoULp27z6uww7g7fwCeLRpPPSmZ2tRDeavI8r85RT5KIiIirUEjKQocOQZMmZnJatWqwYgX4+KRtly80lInz3sc9OYmFwQ0Z0KI3ls2NPw+fdXjNIiIiYp9CUhY5etQEpIgIMwZ71SooXtx+21ZH/8QjKYEVle6m34P9SHYz091qBBR1XMEiIiJyTVoCIAucOGEC0r59UL68WeKoVKn029+/8BvefsiX2VXuJzGf+Qg83d346PGajilYRERErks9STfp9Glo1gzCw6FsWQgNNb+msXevWSwJwGbjvcXjeKhuOW4tUYj2tW5h17stHVq3iIiIXJt6km5CTIyZ5v/nn6bnKDTU9CSlsWsXNGoE9eqZDdwKFgRQz5GIiIgLyxE9SePHj6dcuXIULFiQevXq8ccffzi7JGJjzVYjGzeasUerV8Ntt9lpuG+fuRZ38qQZuBQf7/BaRUREJONcPiTNmjWLfv36MWTIELZs2UKNGjVo3rw5J06ccFpNcXHQti38739m9trKlVC1qp2GERFXprtVrWoa2pvuJiIiIi7H5UPSmDFjePbZZ+nevTu33347EydOxMvLi6+//top9Vy6BI8+anqOChWCZcvgv9vfzNoYwYjJoZy7t5FZF+C226493U1ERERcjkuPSbp06RKbN29m4MCBKefc3NwICQlh/fr1Dq8nMRE6dYIlS8ywosWLoX791G3ajv+FiN0RzJw+kCKnIjhW3J/SoaFQurTD6xUREZHMc+mQFBUVRVJSEqX+M5++VKlShIeH231OfHw88VeN+4mJicmSWiwLnn4afvgB3N1h3jy4//7UbWZtjCDscDR3nomkzLmTRBYuzmOPvkvvyGQ62JvxJiIichPS+86LORZBfg/PNO1jIg86qrRcwaVDUmaMGDGCoUOHZvnr2mxmm5EZM2D2bDOr7b8ur5i99ZYqdHn8XaILFuZI0dL8efgsHeoEZnlNIiKSt6X3nbd52sh0n+Pp6YWfn192lpVr2CzLspxdRHouXbqEl5cXP/zwA23btk0537VrV86ePcuCBQvSPMdeqg4ICCA6Ohpvb++brmn/fqhQwf5jszZG0P/H7WnOf9C+mkKSiIhkufS+89atW0fh/24c+i8/Pz8CA/WddCNcuiepQIEC1K5dm9DQ0JSQlJycTGhoKC+99JLd53h4eODh4ZFtNaUXkAA61Alkxh/mkttldwb4KCCJiEi2SO87r2bNmlnSMZDXuXRIAujXrx9du3blrrvuom7duowbN47Y2Fi6d+/u7NLsmt/rXmZtjODPw2epEVBUAUlERCSHcvmQ1KFDB06ePMngwYM5duwYNWvWZPny5WkGc7uSDnUCFY5ERERyOJcek5QVYmJi8PHxybIxSSIiIq5K33lZy+UXkxQRERFxBoUkERERETsUkkRERETsUEgSERERsUMhSURERMQOhSQREREROxSSREREROxQSBIRERGxQyFJRERExA6FJBERERE7FJJERERE7FBIEhEREbFDIUlERETEjvzOLiC7WZYFmJ2RRUREcooiRYpgs9mcXUaelutD0rlz5wAICAhwciUiIiI3Ljo6Gm9vb2eXkafZrMtdLblUcnIyR48ezZJEHhMTQ0BAAIcPH86xf3D1HlyD3oNryOnvIafXD3oP15KZ7y3Lsjh37px6obJIru9JcnNzo2zZsln6mt7e3jn2L/Nleg+uQe/BNeT095DT6we9h6xis9mcXkNuooHbIiIiInYoJImIiIjYoZCUAR4eHgwZMgQPDw9nl5Jpeg+uQe/BNeT095DT6we9B3FtuX7gtoiIiEhmqCdJRERExA6FJBERERE7FJJERERE7FBIyoDx48dTrlw5ChYsSL169fjjjz+cXdINe+edd7DZbKluVapUcXZZ1/Tzzz/z0EMPUaZMGWw2G/Pnz0/1uGVZDB48GH9/fzw9PQkJCeHvv/92TrHpuN576NatW5rPpUWLFs4p1o4RI0ZQp04dihQpQsmSJWnbti27d+9O1SYuLo5evXpRvHhxChcuTPv27Tl+/LiTKk7rRt7D/fffn+Zz6Nmzp5MqTmvChAlUr149ZR2e+vXrs2zZspTHXf0zgOu/B1f/DP5r5MiR2Gw2+vTpk3IuJ3wOkjEKSTdo1qxZ9OvXjyFDhrBlyxZq1KhB8+bNOXHihLNLu2F33HEHkZGRKbdffvnF2SVdU2xsLDVq1GD8+PF2Hx81ahSffPIJEydOZMOGDRQqVIjmzZsTFxfn4ErTd733ANCiRYtUn8uMGTMcWOG1rVu3jl69evH777+zatUqEhISaNasGbGxsSlt+vbty6JFi5gzZw7r1q3j6NGjtGvXzolVp3Yj7wHg2WefTfU5jBo1ykkVp1W2bFlGjhzJ5s2b2bRpE40bN6ZNmzbs3LkTcP3PAK7/HsC1P4Orbdy4kS+++ILq1aunOp8TPgfJIEtuSN26da1evXql3E9KSrLKlCljjRgxwolV3bghQ4ZYNWrUcHYZmQZY8+bNS7mfnJxslS5d2ho9enTKubNnz1oeHh7WjBkznFDh9f33PViWZXXt2tVq06aNU+rJjBMnTliAtW7dOsuyzO+5u7u7NWfOnJQ2u3btsgBr/fr1zirzmv77HizLsho1amS98sorzisqE4oVK2Z99dVXOfIzuOzye7CsnPMZnDt3zqpUqZK1atWqVDXn5M9B0qeepBtw6dIlNm/eTEhISMo5Nzc3QkJCWL9+vRMry5i///6bMmXKUKFCBTp16kRERISzS8q0AwcOcOzYsVSfiY+PD/Xq1ctRnwnA2rVrKVmyJJUrV+aFF17g1KlTzi4pXdHR0QD4+voCsHnzZhISElJ9DlWqVCEwMNBlP4f/vofLvv/+e/z8/KhatSoDBw7kwoULzijvupKSkpg5cyaxsbHUr18/R34G/30Pl+WEz6BXr148+OCDqX6/IWf+XZDry/V7t2WFqKgokpKSKFWqVKrzpUqVIjw83ElVZUy9evWYOnUqlStXJjIykqFDh3LfffexY8cOihQp4uzyMuzYsWMAdj+Ty4/lBC1atKBdu3aUL1+effv28eabb9KyZUvWr19Pvnz5nF1eKsnJyfTp04cGDRpQtWpVwHwOBQoUoGjRoqnauurnYO89AHTs2JGgoCDKlCnDtm3b6N+/P7t372bu3LlOrDa17du3U79+feLi4ihcuDDz5s3j9ttvJywsLMd8Bum9B8gZn8HMmTPZsmULGzduTPNYTvu7IDdGISmPaNmyZcpx9erVqVevHkFBQcyePZsePXo4sbK87Yknnkg5rlatGtWrV6dixYqsXbuWJk2aOLGytHr16sWOHTtcfizbtaT3Hp577rmU42rVquHv70+TJk3Yt28fFStWdHSZdlWuXJmwsDCio6P54Ycf6Nq1K+vWrXN2WRmS3nu4/fbbXf4zOHz4MK+88gqrVq2iYMGCzi5HHESX226An58f+fLlSzNL4fjx45QuXdpJVd2cokWLctttt7F3715nl5Ipl3/fc9NnAlChQgX8/Pxc7nN56aWXWLx4MT/99BNly5ZNOV+6dGkuXbrE2bNnU7V3xc8hvfdgT7169QBc6nMoUKAAt956K7Vr12bEiBHUqFGDjz/+OEd9Bum9B3tc7TPYvHkzJ06coFatWuTPn5/8+fOzbt06PvnkE/Lnz0+pUqVyzOcgN04h6QYUKFCA2rVrExoamnIuOTmZ0NDQVNfTc5Lz58+zb98+/P39nV1KppQvX57SpUun+kxiYmLYsGFDjv1MAI4cOcKpU6dc5nOxLIuXXnqJefPmsWbNGsqXL5/q8dq1a+Pu7p7qc9i9ezcREREu8zlc7z3YExYWBuAyn4M9ycnJxMfH54jPID2X34M9rvYZNGnShO3btxMWFpZyu+uuu+jUqVPKcU79HOQanD1yPKeYOXOm5eHhYU2dOtX666+/rOeee84qWrSodezYMWeXdkNeffVVa+3atdaBAwesX3/91QoJCbH8/PysEydOOLu0dJ07d87aunWrtXXrVguwxowZY23dutU6dOiQZVmWNXLkSKto0aLWggULrG3btllt2rSxypcvb128eNHJlV9xrfdw7tw567XXXrPWr19vHThwwFq9erVVq1Ytq1KlSlZcXJyzS7csy7JeeOEFy8fHx1q7dq0VGRmZcrtw4UJKm549e1qBgYHWmjVrrE2bNln169e36tev78SqU7vee9i7d681bNgwa9OmTdaBAwesBQsWWBUqVLAaNmzo5MqvGDBggLVu3TrrwIED1rZt26wBAwZYNpvNWrlypWVZrv8ZWNa130NO+Azs+e+MvJzwOUjGKCRlwKeffmoFBgZaBQoUsOrWrWv9/vvvzi7phnXo0MHy9/e3ChQoYN1yyy1Whw4drL179zq7rGv66aefLCDNrWvXrpZlmWUABg0aZJUqVcry8PCwmjRpYu3evdu5Rf/Htd7DhQsXrGbNmlklSpSw3N3draCgIOvZZ591qeBtr3bAmjJlSkqbixcvWi+++KJVrFgxy8vLy3rkkUesyMhI5xX9H9d7DxEREVbDhg0tX19fy8PDw7r11lut119/3YqOjnZu4Vd5+umnraCgIKtAgQJWiRIlrCZNmqQEJMty/c/Asq79HnLCZ2DPf0NSTvgcJGNslmVZjuu3EhEREckZNCZJRERExA6FJBERERE7FJJERERE7FBIEhEREbFDIUlERETEDoUkERERETsUkkRERETsUEgSERERsUMhSSSHstlszJ8/3yk/u1y5cowbNy7dx++//3769OnjsHpERLKDQpLITbLZbNe8vfPOO+k+9+DBg9hstpTNPDPr7rvvpmfPnqnOTZw4EZvNxtSpU1Od79atG/fdd99N/bzrmTt3Lu+++26Wvd66detwd3fnl19+SXU+NjaWChUq8Nprr2XZzxIRuUwhSeQmRUZGptzGjRuHt7d3qnOO+AJ/4IEHWLt2bapzP/30EwEBAWnOr127lsaNG2fq51y6dOmG2vn6+lKkSJFM/Qx7GjVqRO/evenWrRuxsbEp59944w08PT157733suxnXXaj71VEci+FJJGbVLp06ZSbj48PNpst5X7JkiUZM2YMZcuWxcPDg5o1a7J8+fKU55YvXx6AO++8E5vNxv333w/Axo0badq0KX5+fvj4+NCoUSO2bNmSbg0PPPAAu3fv5tixYynn1q1bx4ABA1KFpAMHDnDo0CEeeOABALZv307jxo3x9PSkePHiPPfcc5w/fz6lfbdu3Wjbti3Dhw+nTJkyVK5c2e7P/+qrryhatCihoaFA2stt5cqV4/333+fpp5+mSJEiBAYGMmnSpFSv8dtvv1GzZk0KFizIXXfdxfz581P1sr3//vsUKFCA/v37AyYEfvXVV3z77bcUKFCAESNGUL58eTw9PalRowY//PBDymsnJSXRo0ePlMcrV67Mxx9/nOrnp/deP//8cypVqkTBggUpVaoUjz76aLqfg4jkMs7eYVckN5kyZYrl4+OTcn/MmDGWt7e3NWPGDCs8PNx64403LHd3d2vPnj2WZVnWH3/8YQHW6tWrrcjISOvUqVOWZVlWaGio9d1331m7du2y/vrrL6tHjx5WqVKlrJiYmJTXBqx58+ZZlmVZ58+ft9zd3a3p06dblmVZO3futLy9va24uDircOHC1v79+y3LsqzJkydbBQsWtOLi4qzz589b/v7+Vrt27azt27dboaGhVvny5a2uXbum/IyuXbtahQsXtrp06WLt2LHD2rFjh2VZlhUUFGSNHTvWsizL+uCDD6zixYtbGzZsSHnef3dHDwoKsnx9fa3x48dbf//9tzVixAjLzc3NCg8PtyzLsqKjoy1fX1+rc+fO1s6dO62lS5dat912mwVYW7duTXmdjRs3Wu7u7tb8+fOtcuXKWe+8845lWZb13nvvWVWqVLGWL19u7du3z5oyZYrl4eFhrV271rIsy7p06ZI1ePBga+PGjdb+/futadOmWV5eXtasWbOu+V43btxo5cuXz5o+fbp18OBBa8uWLdbHH3+coT8TIpJzKSSJZKH/hqQyZcpYw4cPT9WmTp061osvvmhZlmUdOHAgTRCwJykpySpSpIi1aNGilHNXhyTLsqwGDRpYzz33nGVZljV+/HirVatWlmVZVrNmzayvv/7asizL6tKli/XAAw9YlmVZkyZNsooVK2adP38+5TWWLFliubm5WceOHbMsywSHUqVKWfHx8anquRyS3njjDcvf3z8lPF1mLyR17tw55X5ycrJVsmRJa8KECZZlWdaECROs4sWLWxcvXkxp8+WXX9r9vRk8eLDl5uZm1a5d20pISLDi4uIsLy8v67fffkvVrkePHtaTTz6Zzu+oZfXq1ctq3759yn177/XHH3+0vL29U4VTEck7dLlNJJvExMRw9OhRGjRokOp8gwYN2LVr1zWfe/z4cZ599lkqVaqEj48P3t7enD9/noiIiHSfc//996dcWlu7dm3KpbtGjRqlOn/5UtuuXbuoUaMGhQoVSlVbcnIyu3fvTjlXrVo1ChQokObnffTRR3z55Zf88ssv3HHHHdd8PwDVq1dPOb58SfLEiRMA7N69m+rVq1OwYMGUNnXr1rX7OoMGDSI5OZkBAwaQP39+9u7dy4ULF2jatCmFCxdOuX377bfs27cv5Xnjx4+ndu3alChRgsKFCzNp0qQ0v5//fa9NmzYlKCiIChUq0KVLF77//nsuXLhw3fcqIrmDQpKIC+ratSthYWF8/PHH/Pbbb4SFhVG8ePFrDiZ+4IEH2LNnD//88w9r166lUaNGwJWQtG/fPg4fPpzhQdtXh6ir3XfffSQlJTF79uwbeh13d/dU9202G8nJyRmqBSB//vypfr08hmrJkiWEhYWl3P7666+UcUkzZ87ktddeo0ePHqxcuZKwsDC6d++e5vfzv++1SJEibNmyhRkzZuDv78/gwYOpUaMGZ8+ezXDdIpLzKCSJZBNvb2/KlCnDr7/+mur8r7/+yu233w6Q0muRlJSUps3LL79Mq1atuOOOO/Dw8CAqKuqaP++ee+6hQIECfP7558TFxVG7dm0A6tSpw8mTJ/n6668pVKhQSg9NcHAwf/75Z6rZYr/++itubm7pDtC+Wt26dVm2bBnvv/8+H3744XXbX0vlypXZvn078fHxKec2btx4Q8+9/fbb8fDwICIigltvvTXVLSAgADDv65577uHFF1/kzjvv5NZbb03Vy3Qt+fPnJyQkhFGjRrFt2zYOHjzImjVrMv4mRSTHUUgSyUavv/46H3zwAbNmzWL37t0MGDCAsLAwXnnlFQBKliyJp6cny5cv5/jx40RHRwNQqVIlvvvuO3bt2sWGDRvo1KkTnp6e1/xZnp6e3H333Xz66ac0aNCAfPnyASaIXX3+co9Op06dKFiwIF27dmXHjh389NNP9O7dmy5dulCqVKkben/33HMPS5cuZejQoddcXPJ6OnbsSHJyMs899xy7du1ixYoVKcHLZrNd87lFihThtddeo2/fvnzzzTfs27ePLVu28Omnn/LNN98A5vdz06ZNrFixgj179jBo0KAbCmGLFy/mk08+ISwsjEOHDvHtt9+SnJx8QyFSRHI+hSSRbPTyyy/Tr18/Xn31VapVq8by5ctZuHAhlSpVAkwvxSeffMIXX3xBmTJlaNOmDQCTJ0/mzJkz1KpViy5duvDyyy9TsmTJ6/68Bx54gHPnzqWMR7qsUaNGnDt3LmU8EoCXlxcrVqzg9OnT1KlTh0cffZQmTZrw2WefZeg93nvvvSxZsoS3336bTz/9NEPPvczb25tFixYRFhZGzZo1eeuttxg8eDBAqnFK6Xn33XcZNGgQI0aMIDg4mBYtWrBkyZKUJRaef/552rVrR4cOHahXrx6nTp3ixRdfvO7rFi1alLlz59K4cWOCg4OZOHEiM2bMuKExWCKS89ksy7KcXYSIyH99//33dO/enejo6Ov2oomIZIf8zi5ARATg22+/pUKFCtxyyy38+eef9O/fn8cff1wBSUScRiFJRFzCsWPHGDx4MMeOHcPf35/HHnuM4cOHO7ssEcnDdLlNRERExA4N3BYRERGxQyFJRERExA6FJBERERE7FJJERERE7FBIEhEREbFDIUlERETEDoUkERERETsUkkRERETsUEgSERERseP/mNB39h7UIYMAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 600x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "worked_0 = list(df[df[\"NumCompaniesWorked\"]==0].index)\n",
    "grid = sns.JointGrid(data=df.iloc[worked_0], x=\"TotalWorkingYears\", y=\"YearsAtCompany\")\n",
    "grid.plot_joint(plt.scatter, s=10)\n",
    "grid.plot_marginals(sns.histplot)\n",
    "plt.plot(list(range(40)), \"b-\")\n",
    "plt.plot(list(range(1,41)), list(range(40)), \"r--\")\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "점들이 y=x-1 그래프 상에 있기 때문에 ToTalWorkingYears가 YearsAtCompany보다 1크다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "same_working_time = list(df[df[\"TotalWorkingYears\"]==df[\"YearsAtCompany\"]].index)\n",
    "sns.countplot(data=df.iloc[same_working_time], x=\"NumCompaniesWorked\")\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "y=x 상에 있는 (TotalWorkingYears와 YearsAtCompany는 같은) 행들의 NumCompneisWorked 값은 모두 1이다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "worked_0 = list(df[df[\"NumCompaniesWorked\"]==1].index)\n",
    "grid = sns.JointGrid(data=df.iloc[worked_0], x=\"TotalWorkingYears\", y=\"YearsAtCompany\")\n",
    "grid.plot_joint(plt.scatter, s=10)\n",
    "grid.plot_marginals(sns.histplot)\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "또한 NumCompaniesWorked가 1인 사람 중에는 TotalWorkingYears와 YearsAtCompany가 1 차이가 나는 사람도 있다."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "정리하면  \n",
    "-   NumCompaniesWorked가 현재 다니는 회사를 제외했다면 1인 값을 가진 사람들도 이전에 한 회사는 거쳤기 떄문에 TotalWorkingYears와 YearsAtCompany가 같아서는 안된다.  \n",
    "    하지만 1인 값을 가진 사람들 중 차이가 나는 사람이 있기 때문에 위의 명제는 성립하지 않는다.\n",
    "-   일했던 회사가 0일 수 없기 때문에 NumCompaniesWorked가 0을 가지는 것은 오류이므로 전부 1을 가지는 것으로 처리해야한다."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.10.9"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}