banking.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Introduction and Objective\n",
    "The banking sector plays a significant role in the economy of India. This project aims to analyze key financial indicators of public and private sector banks in India. We'll use data science techniques to:\n",
    "\n",
    "Compare performance metrics of different banks\n",
    "Visualize trends in key metrics like assets, liabilities, profits, etc.\n",
    "Apply a machine learning model to predict bank performance based on specific features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Bank Name</th>\n",
       "      <th>Sector</th>\n",
       "      <th>Total Assets</th>\n",
       "      <th>Liabilities</th>\n",
       "      <th>Profit</th>\n",
       "      <th>NPA</th>\n",
       "      <th>Market Share</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SBI</td>\n",
       "      <td>Public</td>\n",
       "      <td>500000</td>\n",
       "      <td>300000</td>\n",
       "      <td>10000</td>\n",
       "      <td>3.5</td>\n",
       "      <td>23.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>HDFC</td>\n",
       "      <td>Private</td>\n",
       "      <td>450000</td>\n",
       "      <td>270000</td>\n",
       "      <td>15000</td>\n",
       "      <td>1.8</td>\n",
       "      <td>10.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ICICI</td>\n",
       "      <td>Private</td>\n",
       "      <td>430000</td>\n",
       "      <td>250000</td>\n",
       "      <td>12000</td>\n",
       "      <td>2.1</td>\n",
       "      <td>9.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>PNB</td>\n",
       "      <td>Public</td>\n",
       "      <td>350000</td>\n",
       "      <td>200000</td>\n",
       "      <td>8000</td>\n",
       "      <td>4.5</td>\n",
       "      <td>8.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Axis Bank</td>\n",
       "      <td>Private</td>\n",
       "      <td>400000</td>\n",
       "      <td>230000</td>\n",
       "      <td>11000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Bank Name   Sector  Total Assets  Liabilities  Profit  NPA  Market Share\n",
       "0        SBI   Public        500000       300000   10000  3.5          23.5\n",
       "1       HDFC  Private        450000       270000   15000  1.8          10.1\n",
       "2      ICICI  Private        430000       250000   12000  2.1           9.7\n",
       "3        PNB   Public        350000       200000    8000  4.5           8.9\n",
       "4  Axis Bank  Private        400000       230000   11000  2.0           7.6"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "data = {\n",
    "    'Bank Name': ['SBI', 'HDFC', 'ICICI', 'PNB', 'Axis Bank', 'Canara Bank', 'Kotak Mahindra', 'Bank of Baroda', 'Yes Bank', 'IDBI'],\n",
    "    'Sector': ['Public', 'Private', 'Private', 'Public', 'Private', 'Public', 'Private', 'Public', 'Private', 'Public'],\n",
    "    'Total Assets': [500000, 450000, 430000, 350000, 400000, 300000, 310000, 320000, 220000, 200000],  # In crores\n",
    "    'Liabilities': [300000, 270000, 250000, 200000, 230000, 190000, 180000, 170000, 150000, 140000],  # In crores\n",
    "    'Profit': [10000, 15000, 12000, 8000, 11000, 6000, 7000, 9000, 2000, 3000],  # In crores\n",
    "    'NPA': [3.5, 1.8, 2.1, 4.5, 2.0, 4.0, 1.5, 3.8, 5.5, 5.0],  # Non-Performing Assets (NPA) percentage\n",
    "    'Market Share': [23.5, 10.1, 9.7, 8.9, 7.6, 6.2, 4.9, 6.8, 2.5, 2.0]  # Market share percentage\n",
    "}\n",
    "\n",
    "df = pd.DataFrame(data)\n",
    "\n",
    "df.head()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Statistical Summary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Total Assets</th>\n",
       "      <th>Liabilities</th>\n",
       "      <th>Profit</th>\n",
       "      <th>NPA</th>\n",
       "      <th>Market Share</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.00000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>348000.000000</td>\n",
       "      <td>208000.00000</td>\n",
       "      <td>8300.000000</td>\n",
       "      <td>3.370000</td>\n",
       "      <td>8.220000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>97616.027828</td>\n",
       "      <td>52873.01349</td>\n",
       "      <td>4001.388648</td>\n",
       "      <td>1.434534</td>\n",
       "      <td>6.042222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>200000.000000</td>\n",
       "      <td>140000.00000</td>\n",
       "      <td>2000.000000</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>302500.000000</td>\n",
       "      <td>172500.00000</td>\n",
       "      <td>6250.000000</td>\n",
       "      <td>2.025000</td>\n",
       "      <td>5.225000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>335000.000000</td>\n",
       "      <td>195000.00000</td>\n",
       "      <td>8500.000000</td>\n",
       "      <td>3.650000</td>\n",
       "      <td>7.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>422500.000000</td>\n",
       "      <td>245000.00000</td>\n",
       "      <td>10750.000000</td>\n",
       "      <td>4.375000</td>\n",
       "      <td>9.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>500000.000000</td>\n",
       "      <td>300000.00000</td>\n",
       "      <td>15000.000000</td>\n",
       "      <td>5.500000</td>\n",
       "      <td>23.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Total Assets   Liabilities        Profit        NPA  Market Share\n",
       "count      10.000000      10.00000     10.000000  10.000000     10.000000\n",
       "mean   348000.000000  208000.00000   8300.000000   3.370000      8.220000\n",
       "std     97616.027828   52873.01349   4001.388648   1.434534      6.042222\n",
       "min    200000.000000  140000.00000   2000.000000   1.500000      2.000000\n",
       "25%    302500.000000  172500.00000   6250.000000   2.025000      5.225000\n",
       "50%    335000.000000  195000.00000   8500.000000   3.650000      7.200000\n",
       "75%    422500.000000  245000.00000  10750.000000   4.375000      9.500000\n",
       "max    500000.000000  300000.00000  15000.000000   5.500000     23.500000"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Profit Distribution among banks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Profit distribution plot\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.histplot(df['Profit'], bins=10, kde=True, color='blue')\n",
    "plt.title('Profit Distribution of Banks')\n",
    "plt.xlabel('Profit (in crores)')\n",
    "plt.ylabel('Frequency')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## NPA Vs Profit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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uLaue17L3V1pqPi4uznBycjJ69OhxxWOmpaUZZcqUMTp37nzN+pKTkw13d3dDkvHdd99d1v/2228bzZs3N3x8fAx3d3ejVq1axjvvvGNkZmZedb+Xlr2fO3fuVcddWjr90hLy/5aVlWWMHj3aqFatmuHs7GwEBwcbQ4cONdLT023G5XfZe8MwjC+++MK49dZbDUdHx2sugX9pv0eOHDHuv/9+o0yZMkZAQIAxcuRIIycnJ89tXnjhBUOSMWvWrKue9yVxcXHG2LFjjTZt2hgVK1Y0nJycjHLlyhn33nuv8eOPP+Y5vm/fvkZwcLDh7OxsBAYGGu3atTOmTp1qMy4tLc0YNmyY9doFBgYajzzyiHHkyBHrmPXr1xtNmzY1XFxcLlsCf/ny5UbLli0Nd3d3w8vLy+jYsaOxd+9em2Nc7W8HAMWJxTD+//MDAACgWBswYIC++uorxcbGWh8LBAAUbfyGDACAEiA9PV3fffedunbtShgDgGKE35ABAFCMxcfHa/ny5frxxx919uxZvfzyy2aXBACwA4EMAIBibO/evYqMjFSFChU0ceJENWrUyOySAAB24DdkAAAAAGASfkMGAAAAACYhkAEAAACASfgNWQHJzc3VyZMnVbZsWVksFrPLAQAAAGASwzB0/vx5BQUFycHh6nNgBLICcvLkSQUHB5tdBgAAAIAi4vjx46pUqdJVxxDICkjZsmUlXbzoXl5eJlcDAAAAwCzJyckKDg62ZoSrIZAVkEuPKXp5eRHIAAAAAOTrp0ws6gEAAAAAJiGQAQAAAIBJCGQAAAAAYBJ+QwYAAAAUQzk5OcrKyjK7jFLJ0dFRTk5OBfK6KwIZAAAAUMykpKToxIkTMgzD7FJKrTJlyqhixYpycXG5of0QyAAAAIBiJCcnRydOnFCZMmXk7+9fILM0yD/DMJSZmanTp08rOjpat99++zVf/nw1BDIAAACgGMnKypJhGPL395e7u7vZ5ZRK7u7ucnZ2VkxMjDIzM+Xm5nbd+2JRDwAAAKAYYmbMXDcyK2aznwLZCwAAAADAbgQyAAAAADAJgQwAAAAATEIgAwAAAHBVp0+f1vPPP6/KlSvL1dVVgYGBCgsL07p16wpk/1WrVtXHH39cIPsqblhlEQAAAMBVde3aVZmZmZoxY4ZuvfVWxcXFacWKFTp79qzZpdnIzMy84feC3WzMkKHIS8/K1qnECzqRkKqElAyzywEAAChVEhMT9fvvv+u9995T27ZtVaVKFTVv3lxDhw7VQw89ZB3zzDPPyN/fX15eXrr33nu1Y8cOm/389ttvuuOOO+Tm5iY/Pz917txZknTPPfcoJiZGAwYMkMVisVk98qefflLdunXl6uqqqlWr6sMPP7TZZ9WqVfXWW2/pySeflJeXl5599tlCvhoFj0CGIi028YLG/bZPj078XY9M+EMvTN+kTX+fVVpGttmlAQAAlAqenp7y9PTU/PnzlZGR978cf/TRRxUfH6/Fixdry5YtatKkidq1a6eEhARJ0sKFC9W5c2d16NBB27Zt04oVK9S8eXNJ0s8//6xKlSrpzTff1KlTp3Tq1ClJ0pYtW/TYY48pIiJCu3bt0qhRozR8+HBNnz7d5tgffPCBGjZsqG3btmn48OGFdyEKicUwDMPsIkqC5ORkeXt7KykpSV5eXmaXUyKcTk5XvxmbFXMm9bK+yU/docZVfU2oCgAAwFzp6emKjo5WtWrVbuiFxPb46aef1KdPH124cEFNmjRRmzZtFBERoQYNGuiPP/5QeHi44uPj5erqat2mevXqeu211/Tss8/qrrvu0q233qrvvvsuz/1XrVpV/fv3V//+/a1tkZGROn36tJYtW2Zte+2117Rw4ULt2bPHul3jxo01b968wjnxq7ja38GebMAMGYqsv+NT8gxjkvTxkv1KTM28yRUBAACUTl27dtXJkyf166+/qn379lq9erWaNGmi6dOna8eOHUpJSVH58uWts2menp6Kjo7WkSNHJEnbt29Xu3bt7Drmvn371LJlS5u2li1b6tChQ8rJybG2NWvW7MZP0EQs6oEi68/DZ67Yd+DUeV3IypHPzSsHAACgVHNzc9N9992n++67T8OHD9czzzyjkSNH6oUXXlDFihW1evXqy7bx8fGRJLm7uxdaXR4eHoW275uBGTIUWQHeV56C93B1kuO/fvAJAACAm6tOnTpKTU1VkyZNFBsbKycnJ1WvXt3m4+fnJ0lq0KCBVqxYccV9ubi42Mx6SVLt2rUvW1Z/3bp1qlGjhhwdHQv+hExCIEOR1bKGvxyukLkebREsX8/itaQpAABAcXT27Fnde++9+u6777Rz505FR0dr7ty5GjdunB5++GGFhoYqJCREnTp10rJly3T06FGtX79ew4YN0+bNmyVJI0eO1Pfff6+RI0dq37592rVrl9577z3rMapWraq1a9fqn3/+0ZkzF5+SGjRokFasWKG33npLBw8e1IwZMzRp0iS98sorplyHwkIgQ5Hl7+Wmtx9tKMf/pLLGVcup6x2V5eTI7QsAAFDYPD091aJFC40fP16tW7dWvXr1NHz4cPXp00eTJk2SxWLRokWL1Lp1az311FOqUaOGIiIiFBMTo4CAAEkXl7afO3eufv31VzVq1Ej33nuv/vrrL+sx3nzzTR09elS33Xab/P39JUlNmjTRnDlzNHv2bNWrV08jRozQm2++qV69eplxGQoNqywWEFZZLBwZWTk6fT5D22PO6VxqpppULaeKPu7y9XS99sYAAAAlkBmrLOJyBbXKIot6oEhzdXZUJd8yquRbxuxSAAAAgALHM18AAAAAYBICGQAAAACYhEAGAAAAACYhkAEAAACASQhkAAAAAGASAhkAAAAAmIRABgAAAAAmIZABAAAAgEkIZAAAAACKvKpVq+rjjz++6hiLxaL58+dLko4ePSqLxaLt27cXem03gkAGAAAAlEI5iYnKOnxYmVu3KevwEeUkJhbq8Xr16iWLxSKLxSIXFxdVr15db775prKzswvleMHBwTp16pTq1atXKPsvKE5mFwAAAADg5so+eVKJr7yqjDVrrW2ubdrI54NxcgoKKrTjtm/fXtOmTVNGRoYWLVqkvn37ytnZWUOHDi3wYzk6OiowMLDA91vQmCEDAAAASpGcxMTLwpgkZaxZo8RXXivUmTJXV1cFBgaqSpUqev755xUaGqpff/1V99xzj/r3728ztlOnTurVq5dN2/nz59W9e3d5eHjolltu0aeffnrFY+X1yOKePXv04IMPysvLS2XLllWrVq105MiRAjxD+xHIAAAAgFIk98yZy8LYJRlr1ij3zJmbVou7u7syMzPzPf79999Xw4YNtW3bNg0ZMkQvv/yyoqKi8rXtP//8o9atW8vV1VUrV67Uli1b9PTTTxfaI5P5xSOLAAAAQCliJJ+/ev/5q/cXSA2GoRUrVmjp0qV68cUXtWnTpnxt17JlSw0ZMkSSVKNGDa1bt07jx4/Xfffdd81tP/30U3l7e2v27Nlydna27sNszJABAAAApYjFq+zV+8tevf9GLFiwQJ6ennJzc9MDDzygbt26adSoUfnePiQk5LLv+/bty9e227dvV6tWraxhrKhghgwAAAAoRRz8/OTapo0y1qy5rM+1TRs5+PkV2rHbtm2ryZMny8XFRUFBQXJyuhhHHBwcZBiGzdisrKwCPba7u3uB7q+gMEMGAAAAlCKOPj7y+WCcXNu0sWl3bdNG5T4YJ0cfn0I7toeHh6pXr67KlStbw5gk+fv769SpU9bvOTk52r1792Xb//nnn5d9r127dr6O3aBBA/3+++8FHvRuFDNkAAAAQCnjFBSkcp9NUu6ZMzLOn5elbFk5+PkVahi7mnvvvVcDBw7UwoULddttt+mjjz5SYh6rPa5bt07jxo1Tp06dFBUVpblz52rhwoX5Oka/fv30ySefKCIiQkOHDpW3t7f+/PNPNW/eXDVr1izgM8o/AhkAAABQCjn6+JgWwP7r6aef1o4dO/Tkk0/KyclJAwYMUNu2bS8bN2jQIG3evFmjR4+Wl5eXPvroI4WFheXrGOXLl9fKlSv16quvqk2bNnJ0dFSjRo3UsmXLgj4du1iM/z6sieuSnJwsb29vJSUlycvLy+xyAAAAUEKlp6crOjpa1apVk5ubm9nllFpX+zvYkw34DRkAAAAAmIRABgAAAAAmIZABAAAAgElMDWRr165Vx44dFRQUJIvFovnz519x7HPPPSeLxaKPP/7Ypj0hIUGRkZHy8vKSj4+PevfurZSUFJsxO3fuVKtWreTm5qbg4GCNGzfusv3PnTtXtWrVkpubm+rXr69FixYVxCkCAAAAwBWZGshSU1PVsGFDffrpp1cdN2/ePP35558KCgq6rC8yMlJ79uxRVFSUFixYoLVr1+rZZ5+19icnJ+v+++9XlSpVtGXLFr3//vsaNWqUpk6dah2zfv16de/eXb1799a2bdvUqVMnderUKc93HwAAAABAQSkyqyxaLBbNmzdPnTp1smn/559/1KJFCy1dulTh4eHq37+/+vfvL0nat2+f6tSpo02bNqlZs2aSpCVLlqhDhw46ceKEgoKCNHnyZA0bNkyxsbFycXGRJA0ZMkTz58/X/v37JUndunVTamqqFixYYD3unXfeqUaNGmnKlCn5qp9VFgEAAHAzsMpi0VAqVlnMzc1Vjx499Oqrr6pu3bqX9W/YsEE+Pj7WMCZJoaGhcnBw0MaNG61jWrdubQ1jkhQWFqYDBw7o3Llz1jGhoaE2+w4LC9OGDRuuWFtGRoaSk5NtPgAAAABgjyIdyN577z05OTnppZdeyrM/NjZWFSpUsGlzcnKSr6+vYmNjrWMCAgJsxlz6fq0xl/rzMmbMGHl7e1s/wcHB9p0cAAAAgFKvyAayLVu2aMKECZo+fbosFovZ5Vxm6NChSkpKsn6OHz9udkkAAAAAipkiG8h+//13xcfHq3LlynJycpKTk5NiYmI0aNAgVa1aVZIUGBio+Ph4m+2ys7OVkJCgwMBA65i4uDibMZe+X2vMpf68uLq6ysvLy+YDAAAAoOBUrVr1slXWS5oiG8h69OihnTt3avv27dZPUFCQXn31VS1dulSSFBISosTERG3ZssW63cqVK5Wbm6sWLVpYx6xdu1ZZWVnWMVFRUapZs6bKlStnHbNixQqb40dFRSkkJKSwTxMAAAAwRfKFTB09nao9JxIVcyZVyRcyC/V4vXr1ksVikcVikYuLi6pXr64333xT2dnZV9xm06ZNNiuo36ijR4/KYrFo+/btBbbPG+Vk5sFTUlJ0+PBh6/fo6Ght375dvr6+qly5ssqXL28z3tnZWYGBgapZs6YkqXbt2mrfvr369OmjKVOmKCsrS/369VNERIR1ifzHH39co0ePVu/evTV48GDt3r1bEyZM0Pjx4637ffnll9WmTRt9+OGHCg8P1+zZs7V582abpfEBAACAkiIu6YLe/WWPNh45a21rcVt5vf5wXQV4uxfacdu3b69p06YpIyNDixYtUt++feXs7KyhQ4fajMvMzJSLi4v8/f0LrZaiwtQZss2bN6tx48Zq3LixJGngwIFq3LixRowYke99zJw5U7Vq1VK7du3UoUMH3X333TZBytvbW8uWLVN0dLSaNm2qQYMGacSIETZJ+6677tKsWbM0depUNWzYUD/++KPmz5+vevXqFdzJAgAAAEVA8oXMy8KYJG08clbv/rKnUGfKXF1dFRgYqCpVquj5559XaGiofv31V/Xq1UudOnXSO++8o6CgIOsEzL8fWXz88cfVrVs3m/1lZWXJz89P33zzjaSLr8C6++675ePjo/Lly+vBBx/UkSNHrOOrVasmSWrcuLEsFovuuecea9+XX36p2rVry83NTbVq1dJnn31WaNfh30ydIbvnnntkz2vQjh49elmbr6+vZs2addXtGjRooN9///2qYx599FE9+uij+a4FAAAAKI4SUrIuC2OXbDxyVgkpWfJyd8mzv6C5u7vr7NmLtaxYsUJeXl6KiorKc2xkZKQeffRRpaSkyNPTU5K0dOlSpaWlqXPnzpKk1NRUDRw4UA0aNFBKSopGjBihzp07a/v27XJwcNBff/2l5s2ba/ny5apbt6711VgzZ87UiBEjNGnSJDVu3Fjbtm1Tnz595OHhoZ49exbqNTA1kAEAAAC4uVIzsm6ovyAYhqEVK1Zo6dKlevHFF3X69Gl5eHjoyy+/tHl/8L+FhYXJw8ND8+bNU48ePSRJs2bN0kMPPaSyZctKkrp27Wqzzddffy1/f3/t3btX9erVsz4CWb58eZsF/EaOHKkPP/xQXbp0kXRxJm3v3r36/PPPCz2QFdlFPQAAAAAUPA9X5xvqvxELFiyQp6en3Nzc9MADD6hbt24aNWqUJKl+/fpXDGPSxfcNP/bYY5o5c6aki7Nhv/zyiyIjI61jDh06pO7du+vWW2+Vl5eXdXX2Y8eOXXG/qampOnLkiHr37i1PT0/r5+2337Z53LGwMEMGAAAAlCK+ns5qcVv5PB9bbHFbefl6Fl4ga9u2rSZPniwXFxcFBQXJyen/4oiHh8c1t4+MjFSbNm0UHx+vqKgoubu7q3379tb+jh07qkqVKvriiy8UFBSk3Nxc1atXT5mZV/5dXEpKiiTpiy++sK7Ufomjo6O9p2g3AhkAAABQini5u+j1h+tecZXFwvz9mIeHh6pXr37d2991110KDg7WDz/8oMWLF+vRRx+Vs/PFAHn27FkdOHBAX3zxhVq1aiVJ+uOPP2y2vzQDl5OTY20LCAhQUFCQ/v77b5vZtpuFQAYAAACUMgHe7nrr0QZKSMlSakaWPFyd5evpfNMW87gRjz/+uKZMmaKDBw9q1apV1vZy5cqpfPnymjp1qipWrKhjx45pyJAhNttWqFBB7u7uWrJkiSpVqiQ3Nzd5e3tr9OjReumll+Tt7a327dsrIyNDmzdv1rlz5zRw4MBCPR9+QwYAAACUQl7uLqrq76G6lXxU1d+jWIQx6eJji3v37tUtt9yili1bWtsdHBw0e/ZsbdmyRfXq1dOAAQP0/vvv22zr5OSkiRMn6vPPP1dQUJAefvhhSdIzzzyjL7/8UtOmTVP9+vXVpk0bTZ8+3bpMfmGyGPasO48rSk5Olre3t5KSkuTl5WV2OQAAACih0tPTFR0drWrVqsnNzc3sckqtq/0d7MkGzJABAAAAgEkIZAAAAABgEgIZAAAAAJiEQAYAAAAAJiGQAQAAAMUQa/OZq6CuP4EMAAAAKEYcHR0lSZmZmSZXUrqlpaVJkvXF1NeLF0MDAAAAxYiTk5PKlCmj06dPy9nZWQ4OzLHcTIZhKC0tTfHx8fLx8bEG5OtFIAMAAACKEYvFoooVKyo6OloxMTFml1Nq+fj4KDAw8Ib3QyADAAAAihkXFxfdfvvtPLZoEmdn5xueGbuEQAYAAAAUQw4ODnJzczO7DNwgHjgFAAAAAJMQyAAAAADAJAQyAAAAADAJgQwAAAAATEIgAwAAAACTEMgAAAAAwCQEMgAAAAAwCYEMAAAAAExCIAMAAAAAkxDIAAAAAMAkBDIAAAAAMAmBDAAAAABMQiADAAAAAJMQyAAAAADAJAQyAAAAADAJgQwAAAAATEIgAwAAAACTEMgAAAAAwCQEMgAAAAAwCYEMAAAAAExCIAMAAAAAkxDIAAAAAMAkBDIAAAAAMAmBDAAAAABMQiADAAAAAJMQyAAAAADAJAQyAAAAADAJgQwAAAAATEIgAwAAAACTEMgAAAAAwCQEMgAAAAAwCYEMAAAAAExCIAMAAAAAkxDIAAAAAMAkBDIAAAAAMAmBDAAAAABM4mR2AUBplJiWqeS0LOUahsq6Oat8WVezSwIAAIAJTJ0hW7t2rTp27KigoCBZLBbNnz/f2peVlaXBgwerfv368vDwUFBQkJ588kmdPHnSZh8JCQmKjIyUl5eXfHx81Lt3b6WkpNiM2blzp1q1aiU3NzcFBwdr3Lhxl9Uyd+5c1apVS25ubqpfv74WLVpUKOeM0i0n19Ch2GS9/M0WPfbJH4qYtE7PT/tL244mKDMrx+zyAAAAcJOZGshSU1PVsGFDffrpp5f1paWlaevWrRo+fLi2bt2qn3/+WQcOHNBDDz1kMy4yMlJ79uxRVFSUFixYoLVr1+rZZ5+19icnJ+v+++9XlSpVtGXLFr3//vsaNWqUpk6dah2zfv16de/eXb1799a2bdvUqVMnderUSbt37y68k0epFJt4Qf/76i8dOJVsbTt2Nk39ZmzW8YQ0EysDAACAGSyGYRhmFyFJFotF8+bNU6dOna44ZtOmTWrevLliYmJUuXJl7du3T3Xq1NGmTZvUrFkzSdKSJUvUoUMHnThxQkFBQZo8ebKGDRum2NhYubi4SJKGDBmi+fPna//+/ZKkbt26KTU1VQsWLLAe684771SjRo00ZcqUfNWfnJwsb29vJSUlycvL6zqvAkqynFxD09Yc0Zerj+TZf3/9QA19qK7cXXiSGAAAoDizJxsUq0U9kpKSZLFY5OPjI0nasGGDfHx8rGFMkkJDQ+Xg4KCNGzdax7Ru3doaxiQpLCxMBw4c0Llz56xjQkNDbY4VFhamDRs2XLGWjIwMJScn23yAq0nPytbWowlX7N91PElpGTy2CAAAUJoUm0CWnp6uwYMHq3v37taUGRsbqwoVKtiMc3Jykq+vr2JjY61jAgICbMZc+n6tMZf68zJmzBh5e3tbP8HBwTd2gijxXBwdVdHH/Yr9/mVd5exUbP4rCQAAgAJQLP7pLysrS4899pgMw9DkyZPNLkeSNHToUCUlJVk/x48fN7skFHHOTg56rEXlK/b3an2rvNydb2JFAAAAMFuRD2SXwlhMTIyioqJsnsEMDAxUfHy8zfjs7GwlJCQoMDDQOiYuLs5mzKXv1xpzqT8vrq6u8vLysvkA13KLbxkN6VhHjg4Wa5vFIvVsVU11bvE2sTIAAACYoUivHnApjB06dEirVq1S+fLlbfpDQkKUmJioLVu2qGnTppKklStXKjc3Vy1atLCOGTZsmLKysuTsfHH2ISoqSjVr1lS5cuWsY1asWKH+/ftb9x0VFaWQkJCbcJYoTTzdnBXWoKLuuLW8DsYmKzvHUM0gL/l6uMjTjdkxAACA0sbUQJaSkqLDhw9bv0dHR2v79u3y9fVVxYoV9cgjj2jr1q1asGCBcnJyrL/p8vX1lYuLi2rXrq327durT58+mjJlirKystSvXz9FREQoKChIkvT4449r9OjR6t27twYPHqzdu3drwoQJGj9+vPW4L7/8stq0aaMPP/xQ4eHhmj17tjZv3myzND5QUNxdnHSLr5Nu8S1jdikAAAAwmanL3q9evVpt27a9rL1nz54aNWqUqlWrlud2q1at0j333CPp4ouh+/Xrp99++00ODg7q2rWrJk6cKE9PT+v4nTt3qm/fvtq0aZP8/Pz04osvavDgwTb7nDt3rt544w0dPXpUt99+u8aNG6cOHTrk+1xY9h4AAACAZF82KDLvISvuCGQAAAAApBL8HjIAAAAAKEkIZAAAAABgEgIZAAAAAJiEQAYAAAAAJiGQAQAAAIBJCGQAAAAAYBICGQAAAACYhEAGAAAAACYhkAEAAACASQhkAAAAAGASAhkAAAAAmIRABgAAAAAmIZABAAAAgEkIZAAAAABgEgIZAAAAAJiEQAYAAAAAJiGQAQAAAIBJCGQAAAAAYBICGQAAAACYhEAGAAAAACZxMrsAoLhJTc9WelaOyrg6yt2F/woBAADg+vFPk0A+paRn6UhciqatPaITCRdUPcBTT7W+TZX9yhDMAAAAcF34p0ggHzKychS1O1bv/bbX2nYiIU1r9sfrvYjGuruGvxwcLCZWCAAAgOKI35AB+XA2JVMfL95/WbthSGN/3aMz59NNqAoAAADFHYEMyIf45HRlZOfm2ZeQmqnEC1k3uSIAAACUBAQyIB+u9TSig3hcEQAAAPYjkAH54O/lpjIujnn2BXi7ybuM802uCAAAACUBgQzIB7+yrhreub4s/5kIc3K0aGSX+vL3cjOnMAAAABRrrLII5IOzo4PurF5e3z5/l+ZuPKajp1NU5xZvdWoWrIo+hDEAAABcHwIZkE/uLk6qHlBWr3SorYzsHLk5O8rJkUlmAAAAXD8CGWAnZycHOTsRxAAAAHDj+KdKAAAAADAJgQwAAAAATEIgAwAAAACTEMgAAAAAwCQEMgAAAAAwCYEMAAAAAExCIAMAAAAAkxDIAAAAAMAkBDIAAAAAMAmBDAAAAABMQiADAAAAAJMQyAAAAADAJAQyAAAAADAJgQwAAAAATEIgAwAAAACTEMgAAAAAwCQEMgAAAAAwCYEMAAAAAExCIAMAAAAAkxDIAAAAAMAkBDIAAAAAMInT9Wx07NgxxcTEKC0tTf7+/qpbt65cXV0LujYAAAAAKNHyPUN29OhRDR48WFWqVFG1atXUpk0bPfDAA2rWrJm8vb113333ae7cucrNzc33wdeuXauOHTsqKChIFotF8+fPt+k3DEMjRoxQxYoV5e7urtDQUB06dMhmTEJCgiIjI+Xl5SUfHx/17t1bKSkpNmN27typVq1ayc3NTcHBwRo3btxltcydO1e1atWSm5ub6tevr0WLFuX7PAAAyImNVfrvfyh5/MdK+/EnZR87LiMry+yyAABFXL4C2UsvvaSGDRsqOjpab7/9tvbu3aukpCRlZmYqNjZWixYt0t13360RI0aoQYMG2rRpU74OnpqaqoYNG+rTTz/Ns3/cuHGaOHGipkyZoo0bN8rDw0NhYWFKT0+3jomMjNSePXsUFRWlBQsWaO3atXr22Wet/cnJybr//vtVpUoVbdmyRe+//75GjRqlqVOnWsesX79e3bt3V+/evbVt2zZ16tRJnTp10u7du/N1HgCA0i37+HGdfuRRnY3orvMffKhzL/dXXNt7lbl5i4zsbLPLAwAUYRbDMIxrDRo6dKheeeUVlS9f/po7XLJkidLS0tSlSxf7CrFYNG/ePHXq1EnSxdmxoKAgDRo0SK+88ookKSkpSQEBAZo+fboiIiK0b98+1alTR5s2bVKzZs2sx+/QoYNOnDihoKAgTZ48WcOGDVNsbKxcXFwkSUOGDNH8+fO1f/9+SVK3bt2UmpqqBQsWWOu588471ahRI02ZMiVf9ScnJ8vb21tJSUny8vKy69wBAMVX7vnzSnipvzKWLbusz+LhoQorl8upUiUTKgMAmMWebJCvGbIxY8bkK4xJUvv27e0OY3mJjo5WbGysQkNDrW3e3t5q0aKFNmzYIEnasGGDfHx8rGFMkkJDQ+Xg4KCNGzdax7Ru3doaxiQpLCxMBw4c0Llz56xj/n2cS2MuHScvGRkZSk5OtvkAAEqf3IQEZSxfnmefkZqq7IMHb3JFAIDixO5VFi9cuKC0tDTr95iYGH388cdaunRpgRYWGxsrSQoICLBpDwgIsPbFxsaqQoUKNv1OTk7y9fW1GZPXPv59jCuNudSflzFjxsjb29v6CQ4OtvcUAQAlgJGRKV3l99M5ZxNuYjUAgOLG7kD28MMP65tvvpEkJSYmqkWLFvrwww/VqVMnTZ48ucALLKqGDh2qpKQk6+f48eNmlwQAMIFDWU85/OdfDv6bS906N7EaAEBxY3cg27p1q1q1aiVJ+vHHHxUQEKCYmBh98803mjhxYoEVFhgYKEmKi4uzaY+Li7P2BQYGKj4+3qY/OztbCQkJNmPy2se/j3GlMZf68+Lq6iovLy+bDwCg9HEICJD38GF59rne21YOV/nfEgAA7A5kaWlpKlu2rCRp2bJl6tKlixwcHHTnnXcqJiamwAqrVq2aAgMDtWLFCmtbcnKyNm7cqJCQEElSSEiIEhMTtWXLFuuYlStXKjc3Vy1atLCOWbt2rbL+tfRwVFSUatasqXLlylnH/Ps4l8ZcOg4AAFdicXCQ673t5PvF53KsUuVim6enPPu+oHIfvC9HX1+TKwQAFGV2vxi6evXqmj9/vjp37qylS5dqwIABkqT4+Hi7Z4lSUlJ0+PBh6/fo6Ght375dvr6+qly5svr376+3335bt99+u6pVq6bhw4crKCjIuhJj7dq11b59e/Xp00dTpkxRVlaW+vXrp4iICAUFBUmSHn/8cY0ePVq9e/fW4MGDtXv3bk2YMEHjx4+3Hvfll19WmzZt9OGHHyo8PFyzZ8/W5s2bbZbGBwDgShx9vOXeoYNcmjaTkX5BcnKWYwV/WZydzS4NAFDUGXaaO3eu4ezsbDg4OBihoaHW9nfffddo3769XftatWqVIemyT8+ePQ3DMIzc3Fxj+PDhRkBAgOHq6mq0a9fOOHDggM0+zp49a3Tv3t3w9PQ0vLy8jKeeeso4f/68zZgdO3YYd999t+Hq6mrccsstxtixYy+rZc6cOUaNGjUMFxcXo27dusbChQvtOpekpCRDkpGUlGTXdgAAAABKFnuyQb7eQ/ZfsbGxOnXqlBo2bCgHh4tPPf7111/y8vJSrVq1Ci4tFiO8hwwAAACAVAjvIfuvwMBAlS1bVlFRUbpw4YIk6Y477ii1YQwAAAAArofdgezs2bNq166datSooQ4dOujUqVOSpN69e2vQoEEFXiAAAAAAlFR2B7IBAwbI2dlZx44dU5kyZazt3bp105IlSwq0OAAAAAAoyexeZXHZsmVaunSpKlWqZNN+++23F+iy9wAAAABQ0tk9Q5aammozM3ZJQkKCXF1dC6QoAAAAACgN7A5krVq10jfffGP9brFYlJubq3Hjxqlt27YFWhwAAAAAlGR2P7I4btw4tWvXTps3b1ZmZqZee+017dmzRwkJCVq3bl1h1AgAAAAAJZLdM2T16tXTwYMHdffdd+vhhx9WamqqunTpom3btum2224rjBoBAAAAoESya4YsKytL7du315QpUzRs2LDCqgkAAAAASgW7ZsicnZ21c+fOwqoFAAAAAEoVux9ZfOKJJ/TVV18VRi0AAAAAUKrYvahHdna2vv76ay1fvlxNmzaVh4eHTf9HH31UYMUBAAAAQElmdyDbvXu3mjRpIkk6ePCgTZ/FYimYqgAAAACgFLA7kK1ataow6gAAAACAUsfu35D924kTJ3TixImCqgUAAAAAShW7A1lubq7efPNNeXt7q0qVKqpSpYp8fHz01ltvKTc3tzBqBAAAAIASye5HFocNG6avvvpKY8eOVcuWLSVJf/zxh0aNGqX09HS98847BV4kAAAAAJREFsMwDHs2CAoK0pQpU/TQQw/ZtP/yyy964YUX9M8//xRogcVFcnKyvL29lZSUJC8vL7PLAQAAAGASe7KB3Y8sJiQkqFatWpe116pVSwkJCfbuDgAAAABKLbsDWcOGDTVp0qTL2idNmqSGDRsWSFEAAAAAUBrY/RuycePGKTw8XMuXL1dISIgkacOGDTp+/LgWLVpU4AUCAAAAQEll9wxZmzZtdPDgQXXu3FmJiYlKTExUly5ddODAAbVq1aowagQAACbITUlR9tGjyty1S9lHjyo3JcXskgCgxLFrhiwrK0vt27fXlClTWE0RAIASLCc2Volvv6P0X36VcnMlR0e5d3pY3q8PlWNgoNnlAUCJYVcgc3Z21s6dOwurFgAAUATkJCUp8Y3hSl+85F+NObrw088yMjNVbtx7cmBFYQAoEHY/svjEE0/oq6++KoxaAABAEZB79qxtGPuX9AULlXPmzE2uCABKLrsX9cjOztbXX3+t5cuXq2nTpvLw8LDp/+ijjwqsOAAAcPMZiYlX6TRkJCXdtFoAoKSzO5Dt3r1bTZo0kSQdPHjQps9isRRMVQAAwDQWz7I31A8AyD+7A9mqVasKow4AAFBEOPiVl0vTpsrcsuWyPpfmzeVQvrwJVQFAyWT3b8iSkpKUkJBwWXtCQoKSk5MLpCgAAGAeR19flfv0Ezk3aGDT7tyoocp9MkGOvuVMqgwASh67Z8giIiLUsWNHvfDCCzbtc+bM0a+//srLoQEAKAGcgoNV/tsZyo0/rZzT8XKsECAHfz85+vmZXRoAlCgWwzAMezbw9fXVunXrVLt2bZv2/fv3q2XLljp79myBFlhcJCcny9vbW0lJSfJiKWAAAACg1LInG9j9yGJGRoays7Mva8/KytKFCxfs3R0AAAAAlFp2B7LmzZtr6tSpl7VPmTJFTZs2LZCiAAAAAKA0sPs3ZG+//bZCQ0O1Y8cOtWvXTpK0YsUKbdq0ScuWLSvwAgEAAACgpLJ7hqxly5basGGDgoODNWfOHP3222+qXr26du7cqVatWhVGjQAAAABQItm9qAfyxqIeAAAAAKRCXtQDAAAAAFAwCGQAAAAAYBICGQAAAACYhEAGAAAAACYhkAEAAACASex+D1lqaqrGjh2rFStWKD4+Xrm5uTb9f//9d4EVBwAAAAAlmd2B7JlnntGaNWvUo0cPVaxYURaLpTDqAgAAAIASz+5AtnjxYi1cuFAtW7YsjHoAAAAAoNSw+zdk5cqVk6+vb2HUAgAAAAClit2B7K233tKIESOUlpZWGPUAAAAAQKlh9yOLH374oY4cOaKAgABVrVpVzs7ONv1bt24tsOIAAAAAoCSzO5B16tSpEMoAAAAAgNLHYhiGYXYRJUFycrK8vb2VlJQkLy8vs8sBAAAAYBJ7sgEvhgYAAAAAk+TrkUVfX18dPHhQfn5+Kleu3FXfPZaQkFBgxQEAAABASZavQDZ+/HiVLVtWkvTxxx8XZj0AAAAAUGrwG7ICwm/IAAAAAEiF8Buy1NRUuwqwdzwAAADMlZuaquxTp5QTHy/+fT1w8+QrkFWvXl1jx47VqVOnrjjGMAxFRUXpgQce0MSJEwukuJycHA0fPlzVqlWTu7u7brvtNr311ls2/0/CMAyNGDFCFStWlLu7u0JDQ3Xo0CGb/SQkJCgyMlJeXl7y8fFR7969lZKSYjNm586datWqldzc3BQcHKxx48YVyDkAAAAUZUZWlrIOHtS5V15RfLv7dPqhTkr56mvlxMWZXRpQKuTrN2SrV6/W66+/rlGjRqlhw4Zq1qyZgoKC5ObmpnPnzmnv3r3asGGDnJycNHToUP3vf/8rkOLee+89TZ48WTNmzFDdunW1efNmPfXUU/L29tZLL70kSRo3bpwmTpyoGTNmqFq1aho+fLjCwsK0d+9eubm5SZIiIyN16tQpRUVFKSsrS0899ZSeffZZzZo1S9LFKcX7779foaGhmjJlinbt2qWnn35aPj4+evbZZwvkXAAAAIqi7MNHFP9gRyk9XZKUk5Sk5JGjlL58uXw/mShHf3+TKwRKNrt+Q3bs2DHNnTtXv//+u2JiYnThwgX5+fmpcePGCgsL0wMPPCBHR8cCK+7BBx9UQECAvvrqK2tb165d5e7uru+++06GYSgoKEiDBg3SK6+8IklKSkpSQECApk+froiICO3bt0916tTRpk2b1KxZM0nSkiVL1KFDB504cUJBQUGaPHmyhg0bptjYWLm4uEiShgwZovnz52v//v35qpXfkAEAgOImNylZCc8/r4w1a/Ps95v/s1zvuOMmVwUUf4X2HrLKlStr0KBBmj9/vrZt26b9+/frjz/+0CeffKIHH3ywQMOYJN11111asWKFDh48KEnasWOH/vjjDz3wwAOSpOjoaMXGxio0NNS6jbe3t1q0aKENGzZIkjZs2CAfHx9rGJOk0NBQOTg4aOPGjdYxrVu3toYxSQoLC9OBAwd07ty5PGvLyMhQcnKyzQcAAKA4yU05r4y1v1+x/8LiJTexGqB0ytcji2YZMmSIkpOTVatWLTk6OionJ0fvvPOOIiMjJUmxsbGSpICAAJvtAgICrH2xsbGqUKGCTb+Tk5N8fX1txlSrVu2yfVzqK1eu3GW1jRkzRqNHjy6AswQAADCJxSK5ulofV/wvB0/Pm1wQUPrYNUN2s82ZM0czZ87UrFmztHXrVs2YMUMffPCBZsyYYXZpGjp0qJKSkqyf48ePm10SAACAXRx8fVXmka5X7HcP73ATqwFKpyI9Q/bqq69qyJAhioiIkCTVr19fMTExGjNmjHr27KnAwEBJUlxcnCpWrGjdLi4uTo0aNZIkBQYGKj4+3ma/2dnZSkhIsG4fGBiouP+sJHTp+6Ux/+Xq6ipXV9cbP0kAAACTOLi5qeyL/ZTx+x/KiYmx6Sv7ykA5XuGfgwAUnCI9Q5aWliYHB9sSHR0dlZubK0mqVq2aAgMDtWLFCmt/cnKyNm7cqJCQEElSSEiIEhMTtWXLFuuYlStXKjc3Vy1atLCOWbt2rbKysqxjoqKiVLNmzTwfVwQAACgpnCpVkt+Pc1Tus0lya99eZSIj5b94oTyefloO3t5mlweUeHatsihdXGkxODhYFovFpt0wDB0/flyVK1cusOJ69eql5cuX6/PPP1fdunW1bds2Pfvss3r66af13nvvSbq4NP7YsWNtlr3fuXOnzbL3DzzwgOLi4jRlyhTrsvfNmjWzLnuflJSkmjVr6v7779fgwYO1e/duPf300xo/fny+l71nlUUAAFDcGdnZkqPjZf+cB8A+9mQDuwOZo6OjTp06ddlCGWfPnlWFChWUk5Njf8VXcP78eQ0fPlzz5s1TfHy8goKC1L17d40YMcK6IqJhGBo5cqSmTp2qxMRE3X333frss89Uo0YN634SEhLUr18//fbbb3JwcFDXrl01ceJEef7rh6o7d+5U3759tWnTJvn5+enFF1/U4MGD810rgQwAAACAVMiBzMHBQXFxcfL/z0sCY2JiVKdOHaWmptpfcQlAIAMAAAAg2ZcN8r2ox8CBAyVJFotFw4cPV5kyZax9OTk52rhxo3UhDQAAAADAteU7kG3btk3SxUcEd+3aZfMSZRcXFzVs2FCvvPJKwVcIAAAAACVUvgPZqlWrJElPPfWUJkyYwGN5AAAAAHCD7H4P2bRp0wqjDgAAAAAodfIVyLp06aLp06fLy8tLXbp0uerYn3/+uUAKAwAAAICSLl+BzNvb2/o+Ci8vL95NAQAAAAAFIF+BrHPnztaXLE+fPr0w6wEAAACAUsMhP4M6d+6sxMRESRdfDB0fH1+YNQEAAABAqZCvQObv768///xT0sVl73lkEQAAAABuXL4eWXzuuef08MMPy2KxyGKxKDAw8Ipjc3JyCqw4AAAAACjJ8hXIRo0apYiICB0+fFgPPfSQpk2bJh8fn0IuDQAAAABKtny/h6xWrVqqVauWRo4cqUcffVRlypQpzLoAAAAAoMSzGIZhXM+Gp0+f1oEDByRJNWvWlL+/f4EWVtwkJyfL29tbSUlJ8vLyMrscAAAAACaxJxvka1GPf0tLS9PTTz+toKAgtW7dWq1bt1ZQUJB69+6ttLS06y4aAAAAAEobuwPZgAEDtGbNGv36669KTExUYmKifvnlF61Zs0aDBg0qjBoBAAAAoESy+5FFPz8//fjjj7rnnnts2letWqXHHntMp0+fLsj6ig0eWQQAAAAg3YRHFgMCAi5rr1ChAo8sAgAAAIAd7A5kISEhGjlypNLT061tFy5c0OjRoxUSElKgxQEAAABASZbvZe8v+fjjj9W+fXtVqlRJDRs2lCTt2LFDbm5uWrp0aYEXCAAAAAAl1XUte5+WlqaZM2dq//79kqTatWsrMjJS7u7uBV5gccFvyAAAAABI9mUDu2bIsrKyVKtWLS1YsEB9+vS5oSIBAAAAoLSzK5A5Ozvb/HYMRUtmdo7iktK1dn+8Ys6kqmk1XzWsXE6BPqV35hIAAAAoyuz+DVnfvn313nvv6csvv5STk92bo5BkZ+dq69FzGjRzq3JyLz6F+uvWf+Tr4aLJTzdXFT8PkysEAAAA8F92J6pNmzZpxYoVWrZsmerXry8PD9t/0P/5558LrDjk3+mUDA39Ybs1jF2SkJqpd37Zrfe7N5Z3GReTqgMAAACQF7sDmY+Pj7p27VoYteAGHD+bqguZOXn27TyWqKS0LAIZAAAAUMTYHcimTZtWGHXgBqWmZ1+1Pysn9yZVAgAAACC/8v1i6NzcXL333ntq2bKl7rjjDg0ZMkQXLlwozNpgh1sDPK/YV97TRWXdnW9iNQAAAADyI9+B7J133tHrr78uT09P3XLLLZowYYL69u1bmLXBDr4ernqoyS159g18oLb8y7re5IoAAAAAXEu+Xwx9++2365VXXtH//vc/SdLy5csVHh6uCxcuyMEh37muxCoKL4ZOSMnQ6n1xmvF7tOKT01UjsKz63V9TtYO85OnGDBkAAABwM9iTDfIdyFxdXXX48GEFBwdb29zc3HT48GFVqlTpxiouAYpCIJMkwzB0NiVDObmGXJ0c5ePBQh4AAADAzWRPNsj3oh7Z2dlyc3OzaXN2dlZWVtb1VYlCYbFY5FfW7doDAQAAAJgu34HMMAz16tVLrq7/91uk9PR0PffcczbvIuM9ZAAAAACQP/kOZD179rys7YknnijQYgAAAACgNMl3IOP9YwAAAABQsFgeEQAAAABMQiADAAAAAJMQyAAAAADAJAQyAAAAADAJgQwAAAAATEIgAwAAAACTEMgAAAAAwCQEMgAAAAAwCYEMAAAAAExCIAMAAAAAkxDIAAAAAMAkBDIAAAAAMAmBDAAAAABMQiADAAAAAJMQyAAAAADAJAQyAAAAADAJgQwAAAAATEIgAwAAAACTEMgAAAAAwCROZhcAAABwLbmpqco9c0a5Z87K4u4mh/J+cgyoYHZZAHDDivwM2T///KMnnnhC5cuXl7u7u+rXr6/Nmzdb+w3D0IgRI1SxYkW5u7srNDRUhw4dstlHQkKCIiMj5eXlJR8fH/Xu3VspKSk2Y3bu3KlWrVrJzc1NwcHBGjdu3E05PwAAcHU5p88o+f33FdeqjU4/9LDi7wvTmUceUdaBA2aXBgA3rEgHsnPnzqlly5ZydnbW4sWLtXfvXn344YcqV66cdcy4ceM0ceJETZkyRRs3bpSHh4fCwsKUnp5uHRMZGak9e/YoKipKCxYs0Nq1a/Xss89a+5OTk3X//ferSpUq2rJli95//32NGjVKU6dOvannCwAAbBk5OUr78UelfvGVlJNjbc/+O1pnHu2m7H/+MbE6ALhxFsMwDLOLuJIhQ4Zo3bp1+v333/PsNwxDQUFBGjRokF555RVJUlJSkgICAjR9+nRFRERo3759qlOnjjZt2qRmzZpJkpYsWaIOHTroxIkTCgoK0uTJkzVs2DDFxsbKxcXFeuz58+dr//79eR47IyNDGRkZ1u/JyckKDg5WUlKSvLy8CvIyAABQamWfPKnT94cp91xinv2+M6bLPbTdzS0KAK4hOTlZ3t7e+coGRXqG7Ndff1WzZs306KOPqkKFCmrcuLG++OILa390dLRiY2MVGhpqbfP29laLFi20YcMGSdKGDRvk4+NjDWOSFBoaKgcHB23cuNE6pnXr1tYwJklhYWE6cOCAzp07l2dtY8aMkbe3t/UTHBxcoOcOAAAkZWRcMYxJUjaPLQIo5op0IPv77781efJk3X777Vq6dKmef/55vfTSS5oxY4YkKTY2VpIUEBBgs11AQIC1LzY2VhUq2P7o18nJSb6+vjZj8trHv4/xX0OHDlVSUpL1c/z48Rs8WwAAcBlXVzn866cK/+Vcu9ZNLAYACl6RXmUxNzdXzZo107vvvitJaty4sXbv3q0pU6aoZ8+eptbm6uoqV1dXU2sAAKCkcwwIkOeL/ZT85luX9Tn4+8upFoEMQPFWpGfIKlasqDp16ti01a5dW8eOHZMkBQYGSpLi4uJsxsTFxVn7AgMDFR8fb9OfnZ2thIQEmzF57ePfxwAAADefxdFRZbp2kedzz0nOztZ2p9tvl9/cH+QUFGRidQBw44p0IGvZsqUO/OfZ8IMHD6pKlSqSpGrVqikwMFArVqyw9icnJ2vjxo0KCQmRJIWEhCgxMVFbtmyxjlm5cqVyc3PVokUL65i1a9cqKyvLOiYqKko1a9a0WdERAADcfI5+fio7aIAC1qyS/8LfVGFFlPzm/iDn2283uzQAuGFFOpANGDBAf/75p959910dPnxYs2bN0tSpU9W3b19JksViUf/+/fX222/r119/1a5du/Tkk08qKChInTp1knRxRq19+/bq06eP/vrrL61bt079+vVTRESEgv7/v1V7/PHH5eLiot69e2vPnj364YcfNGHCBA0cONCsUwcAAP/iUKaMnKpUkUujRnKuVUuO/v5mlwQABaJIL3svSQsWLNDQoUN16NAhVatWTQMHDlSfPn2s/YZhaOTIkZo6daoSExN1991367PPPlONGjWsYxISEtSvXz/99ttvcnBwUNeuXTVx4kR5enpax+zcuVN9+/bVpk2b5OfnpxdffFGDBw/Od532LG0JAAAAoOSyJxsU+UBWXBDIAAAAAEgl6D1kAAAAAFCSEcgAAAAAwCQEMgAAAAAwCYEMAAAAAExCIAMAAAAAkxDIAAAAAMAkBDIAAAAAMAmBDAAAAABMQiADAAAAAJMQyAAAAADAJAQyAAAAADAJgQwAAAAATEIgAwAAAACTEMgAAAAAwCQEMgAAAAAwCYEMAAAAAExCIAMAAAAAkxDIAAAAAMAkBDIAAAAAMAmBDAAAAABMQiADAAAAAJMQyAAAAADAJAQyAAAAADAJgQwAAAAATEIgAwAAAACTEMgAAAAAwCQEMgAAAAAwCYEMAAAAAExCIAMAAAAAkxDIAAAAAMAkBDIAAAAAMAmBDAAAAABMQiADAAAAAJMQyAAAAADAJAQyAAAAADAJgQwAAAAATEIgAwAAAACTEMgAAAAAwCQEMgAAAAAwCYEMAAAAAExCIAMAAAAAkxDIAAAAAMAkBDIAAAAAMAmBDAAAAABMQiADAAAAAJMQyAAAAADAJAQyAAAAADAJgQwAAAAATEIgAwAAAACTEMgAAAAAwCQEMgAAAAAwCYEMAAAAAExCIAMAAAAAkxSrQDZ27FhZLBb179/f2paenq6+ffuqfPny8vT0VNeuXRUXF2ez3bFjxxQeHq4yZcqoQoUKevXVV5WdnW0zZvXq1WrSpIlcXV1VvXp1TZ8+/SacEQAAAIDSrNgEsk2bNunzzz9XgwYNbNoHDBig3377TXPnztWaNWt08uRJdenSxdqfk5Oj8PBwZWZmav369ZoxY4amT5+uESNGWMdER0crPDxcbdu21fbt29W/f38988wzWrp06U07PwAAAAClj8UwDMPsIq4lJSVFTZo00Weffaa3335bjRo10scff6ykpCT5+/tr1qxZeuSRRyRJ+/fvV+3atbVhwwbdeeedWrx4sR588EGdPHlSAQEBkqQpU6Zo8ODBOn36tFxcXDR48GAtXLhQu3fvth4zIiJCiYmJWrJkSb5qTE5Olre3t5KSkuTl5VXwFwEAAABAsWBPNigWM2R9+/ZVeHi4QkNDbdq3bNmirKwsm/ZatWqpcuXK2rBhgyRpw4YNql+/vjWMSVJYWJiSk5O1Z88e65j/7jssLMy6j7xkZGQoOTnZ5gMAAAAA9nAyu4BrmT17trZu3apNmzZd1hcbGysXFxf5+PjYtAcEBCg2NtY65t9h7FL/pb6rjUlOTtaFCxfk7u5+2bHHjBmj0aNHX/d5AQAAAECRniE7fvy4Xn75Zc2cOVNubm5ml2Nj6NChSkpKsn6OHz9udkkAAAAAipkiHci2bNmi+Ph4NWnSRE5OTnJyctKaNWs0ceJEOTk5KSAgQJmZmUpMTLTZLi4uToGBgZKkwMDAy1ZdvPT9WmO8vLzynB2TJFdXV3l5edl8AAAAAMAeRTqQtWvXTrt27dL27dutn2bNmikyMtL6n52dnbVixQrrNgcOHNCxY8cUEhIiSQoJCdGuXbsUHx9vHRMVFSUvLy/VqVPHOubf+7g05tI+AAAAAKAwFOnfkJUtW1b16tWzafPw8FD58uWt7b1799bAgQPl6+srLy8vvfjiiwoJCdGdd94pSbr//vtVp04d9ejRQ+PGjVNsbKzeeOMN9e3bV66urpKk5557TpMmTdJrr72mp59+WitXrtScOXO0cOHCm3vCAAAAAEqVIh3I8mP8+PFycHBQ165dlZGRobCwMH322WfWfkdHRy1YsEDPP/+8QkJC5OHhoZ49e+rNN9+0jqlWrZoWLlyoAQMGaMKECapUqZK+/PJLhYWFmXFKAAAAAEqJYvEesuKA95ABAAAAkErge8gAAAAAoCQikAEAAACASQhkAAAAAGASAhkAAAAAmIRABgAAAAAmIZABAAAAgEkIZAAAAABgEgIZAAAAAJiEQAYAAAAAJiGQAQAAAIBJCGQAAAAAYBICGQAAAACYhEAGAAAAACYhkAEAAACASQhkAAAAAGASAhkAAAAAmIRABgAAAAAmIZABAAAAgEkIZAAAAABgEgIZAAAAAJiEQAYAAAAAJnEyuwAAAACgJMtNSVHumTPKjo6Wxd1djpUqyTEgQBZnZ7NLQxFAIAMAAAAKSc7Zs0r5fKpSJk+RcnMlSRZPT/l+PlkuISFycHU1uUKYjUcWAQAAgEKS8cc6pXz6mTWMSZKRkqKzPZ9S7j//mFgZigoCGQAAAFAIck6f0fnxH+fdmZ2ttPm/3NR6UDQRyAAAAIDCkJ2lnBMnrtidtX+/DMO4iQWhKCKQAQAAAIXBzU3Odepcsdv1rrtksVhuYkEoighkAAAAQCFwLFdOXkOH5Nln8fKSW7t7b3JFKIoIZAAAAEAhca5XV+UmfyqH8uWtbU61asn/5x/lWKmSiZWhqGDZewAAAKCQOJQtK/cHH5RLszuUm3hOFicnOfiWl6Nf+WtvjFKBQAYAAAAUIouDg5yCKkpBFc0uBUUQjywCAAAAgEkIZAAAAABgEgIZAAAAAJiEQAYAAAAAJiGQAQAAAIBJCGQAAAAAYBICGQAAAACYhEAGAAAAACYhkAEAAACASQhkAAAAAGASAhkAAAAAmIRABgAAAAAmIZABAAAAgEkIZAAAAABgEgIZAAAAAJiEQAYAAAAAJiGQAQAAAIBJCGQAAAAAYBICGQAAAACYhEAGAAAAACYhkAEAAACASQhkAAAAAGASJ7MLAAAAAIAbkZSWqfPp2XKwSF7uLvJ0Kz4xp0jPkI0ZM0Z33HGHypYtqwoVKqhTp046cOCAzZj09HT17dtX5cuXl6enp7p27aq4uDibMceOHVN4eLjKlCmjChUq6NVXX1V2drbNmNWrV6tJkyZydXVV9erVNX369MI+PQAAAAA3IDs7VwdOJWvQrK16ZMLv6jrhd438aYeOnUk1u7R8K9KBbM2aNerbt6/+/PNPRUVFKSsrS/fff79SU//vAg8YMEC//fab5s6dqzVr1ujkyZPq0qWLtT8nJ0fh4eHKzMzU+vXrNWPGDE2fPl0jRoywjomOjlZ4eLjatm2r7du3q3///nrmmWe0dOnSm3q+AAAAAPLvxLk09flyo3YfT5IkGYa07uAZPfvVRp06d8Hk6vLHYhiGYXYR+XX69GlVqFBBa9asUevWrZWUlCR/f3/NmjVLjzzyiCRp//79ql27tjZs2KA777xTixcv1oMPPqiTJ08qICBAkjRlyhQNHjxYp0+flouLiwYPHqyFCxdq9+7d1mNFREQoMTFRS5YsyVdtycnJ8vb2VlJSkry8vAr+5AEAAABYpWdla9xv+7Rox8k8+/u3r6lud1aRxWK5yZXZlw2K9AzZfyUlXUy+vr6+kqQtW7YoKytLoaGh1jG1atVS5cqVtWHDBknShg0bVL9+fWsYk6SwsDAlJydrz5491jH/3selMZf2kZeMjAwlJyfbfAAAAADcHCnp2docnXDF/nUHTys9K+cmVnR9ik0gy83NVf/+/dWyZUvVq1dPkhQbGysXFxf5+PjYjA0ICFBsbKx1zL/D2KX+S31XG5OcnKwLF/Ke6hwzZoy8vb2tn+Dg4Bs+RwAAAAD54+TooHIezlfs9yvrJieHoh93in6F/1/fvn21e/duzZ492+xSJElDhw5VUlKS9XP8+HGzSwIAAABKDZ8yLupxd7Ur9j/SPFjOTkU/7hT9CiX169dPCxYs0KpVq1SpUiVre2BgoDIzM5WYmGgzPi4uToGBgdYx/1118dL3a43x8vKSu7t7njW5urrKy8vL5gMAAADg5mlS1VcdGgVd1v5C6O0KLu9hQkX2K9IL9BuGoRdffFHz5s3T6tWrVa2abQJu2rSpnJ2dtWLFCnXt2lWSdODAAR07dkwhISGSpJCQEL3zzjuKj49XhQoVJElRUVHy8vJSnTp1rGMWLVpks++oqCjrPgAAAAAUPb6erno5rKYeD6mqv/4+IxcnR91xa3mV93SRp9uVH2csSor0KosvvPCCZs2apV9++UU1a9a0tnt7e1tnrp5//nktWrRI06dPl5eXl1588UVJ0vr16yVdXPa+UaNGCgoK0rhx4xQbG6sePXromWee0bvvvivp4rL39erVU9++ffX0009r5cqVeumll7Rw4UKFhYXlq1ZWWQQAAAAg2ZcNinQgu9ISldOmTVOvXr0kXXwx9KBBg/T9998rIyNDYWFh+uyzz6yPI0pSTEyMnn/+ea1evVoeHh7q2bOnxo4dKyen/5sgXL16tQYMGKC9e/eqUqVKGj58uPUY+UEgAwAAACCVoEBWnBDIAAAAAEgl+D1kAAAAAFCSEMgAAAAAwCQEMgAAAAAwCYEMAAAAAExCIAMAAAAAkxDIAAAAAMAkBDIAAAAAMAmBDAAAAABMQiADAAAAAJMQyAAAAADAJAQyAAAAADAJgQwAAAAATEIgAwAAAACTOJldQElhGIYkKTk52eRKAAAAAJjpUia4lBGuhkBWQM6fPy9JCg4ONrkSAAAAAEXB+fPn5e3tfdUxFiM/sQ3XlJubq5MnT6ps2bKyWCym1pKcnKzg4GAdP35cXl5eptZSEnF9Cx/XuHBxfQsX17dwcX0LF9e3cHF9C1dRur6GYej8+fMKCgqSg8PVfyXGDFkBcXBwUKVKlcwuw4aXl5fpN2NJxvUtfFzjwsX1LVxc38LF9S1cXN/CxfUtXEXl+l5rZuwSFvUAAAAAAJMQyAAAAADAJASyEsjV1VUjR46Uq6ur2aWUSFzfwsc1Llxc38LF9S1cXN/CxfUtXFzfwlVcry+LegAAAACASZghAwAAAACTEMgAAAAAwCQEMgAAAAAwCYEMAAAAAExCICuG1q5dq44dOyooKEgWi0Xz58+/6vjVq1fLYrFc9omNjb05BRczY8aM0R133KGyZcuqQoUK6tSpkw4cOHDN7ebOnatatWrJzc1N9evX16JFi25CtcXP9Vzf6dOnX3b/urm53aSKi5fJkyerQYMG1pdihoSEaPHixVfdhns3/+y9vty712/s2LGyWCzq37//Vcdx/16//Fxj7uH8GzVq1GXXqlatWlfdhvs3/+y9vsXp3iWQFUOpqalq2LChPv30U7u2O3DggE6dOmX9VKhQoZAqLN7WrFmjvn376s8//1RUVJSysrJ0//33KzU19YrbrF+/Xt27d1fv3r21bds2derUSZ06ddLu3btvYuXFw/VcX0ny8vKyuX9jYmJuUsXFS6VKlTR27Fht2bJFmzdv1r333quHH35Ye/bsyXM896597L2+Evfu9di0aZM+//xzNWjQ4KrjuH+vX36vscQ9bI+6devaXKs//vjjimO5f+1nz/WVitG9a6BYk2TMmzfvqmNWrVplSDLOnTt3U2oqaeLj4w1Jxpo1a6445rHHHjPCw8Nt2lq0aGH873//K+zyir38XN9p06YZ3t7eN6+oEqZcuXLGl19+mWcf9+6Nu9r15d613/nz543bb7/diIqKMtq0aWO8/PLLVxzL/Xt97LnG3MP5N3LkSKNhw4b5Hs/9ax97r29xuneZIStFGjVqpIoVK+q+++7TunXrzC6n2EhKSpIk+fr6XnHMhg0bFBoaatMWFhamDRs2FGptJUF+rq8kpaSkqEqVKgoODr7mjAQuysnJ0ezZs5WamqqQkJA8x3DvXr/8XF+Je9deffv2VXh4+GX3ZV64f6+PPddY4h62x6FDhxQUFKRbb71VkZGROnbs2BXHcv/az57rKxWfe5dAVgpUrFhRU6ZM0U8//aSffvpJwcHBuueee7R161azSyvycnNz1b9/f7Vs2VL16tW74rjY2FgFBATYtAUEBPA7vWvI7/WtWbOmvv76a/3yyy/67rvvlJubq7vuuksnTpy4idUWH7t27ZKnp6dcXV313HPPad68eapTp06eY7l37WfP9eXetc/s2bO1detWjRkzJl/juX/tZ+815h7OvxYtWmj69OlasmSJJk+erOjoaLVq1Urnz5/Pczz3r33svb7F6d51MrsAFL6aNWuqZs2a1u933XWXjhw5ovHjx+vbb781sbKir2/fvtq9e/c1n1HG9cnv9Q0JCbGZgbjrrrtUu3Ztff7553rrrbcKu8xip2bNmtq+fbuSkpL0448/qmfPnlqzZs0VQwPsY8/15d7Nv+PHj+vll19WVFRUkf3hfXF3PdeYezj/HnjgAet/btCggVq0aKEqVapozpw56t27t4mVlQz2Xt/idO8SyEqp5s2bEzKuoV+/flqwYIHWrl2rSpUqXXVsYGCg4uLibNri4uIUGBhYmCUWa/Zc3/9ydnZW48aNdfjw4UKqrnhzcXFR9erVJUlNmzbVpk2bNGHCBH3++eeXjeXetZ891/e/uHevbMuWLYqPj1eTJk2sbTk5OVq7dq0mTZqkjIwMOTo62mzD/Wuf67nG/8U9nH8+Pj6qUaPGFa8V9++Nudb1/a+ifO/yyGIptX37dlWsWNHsMookwzDUr18/zZs3TytXrlS1atWuuU1ISIhWrFhh0xYVFXXV35WUVtdzff8rJydHu3bt4h7Op9zcXGVkZOTZx7174652ff+Le/fK2rVrp127dmn79u3WT7NmzRQZGant27fnGRS4f+1zPdf4v7iH8y8lJUVHjhy54rXi/r0x17q+/1Wk712zVxWB/c6fP29s27bN2LZtmyHJ+Oijj4xt27YZMTExhmEYxpAhQ4wePXpYx48fP96YP3++cejQIWPXrl3Gyy+/bDg4OBjLly836xSKtOeff97w9vY2Vq9ebZw6dcr6SUtLs47p0aOHMWTIEOv3devWGU5OTsYHH3xg7Nu3zxg5cqTh7Oxs7Nq1y4xTKNKu5/qOHj3aWLp0qXHkyBFjy5YtRkREhOHm5mbs2bPHjFMo0oYMGWKsWbPGiI6ONnbu3GkMGTLEsFgsxrJlywzD4N69UfZeX+7dG/PfFQC5fwveta4x93D+DRo0yFi9erURHR1trFu3zggNDTX8/PyM+Ph4wzC4f2+Uvde3ON27PLJYDG3evFlt27a1fh84cKAkqWfPnpo+fbpOnTpls+pMZmamBg0apH/++UdlypRRgwYNtHz5cpt94P9MnjxZknTPPffYtE+bNk29evWSJB07dkwODv83wXzXXXdp1qxZeuONN/T666/r9ttv1/z586+6UEVpdT3X99y5c+rTp49iY2NVrlw5NW3aVOvXr+c3UXmIj4/Xk08+qVOnTsnb21sNGjTQ0qVLdd9990ni3r1R9l5f7t2Cxf1b+LiHr9+JEyfUvXt3nT17Vv7+/rr77rv1559/yt/fXxL3742y9/oWp3vXYhiGYXYRAAAAAFAa8RsyAAAAADAJgQwAAAAATEIgAwAAAACTEMgAAAAAwCQEMgAAAAAwCYEMAAAAAExCIAMAAAAAkxDIAAAAAMAkBDIAAG6SFStWqHbt2srJybnufSxZskSNGjVSbm5uAVYGADALgQwAUCr06tVLFotFY8eOtWmfP3++LBaL9fvq1atlsVisn4CAAHXt2lV///23zXbff/+9HB0d1bdv33zX8Nprr+mNN96Qo6OjJGnbtm1q3LixPD091bFjRyUkJFjHZmdnq2nTpvrrr79s9tG+fXs5Oztr5syZ+T4uAKDoIpABAEoNNzc3vffeezp37tw1xx44cEAnT57U3LlztWfPHnXs2NFmZuurr77Sa6+9pu+//17p6enX3N8ff/yhI0eOqGvXrta2Z555Rvfee6+2bt2qpKQkvfvuu9a+Dz/8UC1btlTz5s0v21evXr00ceLEax4TAFD0EcgAAKVGaGioAgMDNWbMmGuOrVChgipWrKjWrVtrxIgR2rt3rw4fPixJio6O1vr16zVkyBDVqFFDP//88zX3N3v2bN13331yc3Oztu3bt099+vRRjRo11L17d+3bt0+S9Pfff+urr77SO++8k+e+OnbsqM2bN+vIkSP5OW0AQBFGIAMAlBqOjo5699139cknn+jEiRP53s7d3V2SlJmZKUmaNm2awsPD5e3trSeeeEJfffXVNffx+++/q1mzZjZtDRs2VFRUlLKzs7VixQo1aNBAkvTcc89p3LhxKlu2bJ77qly5sgICAvT777/n+xwAAEUTgQwAUKp07txZjRo10siRI/M1/tSpU/rggw90yy23qGbNmsrNzdX06dP1xBNPSJIiIiL0xx9/KDo6+qr7iYmJUVBQkE3bl19+qR9//FG33XabXFxcNHToUH377bcqU6aM7rjjDoWFhal69ep64403LttfUFCQYmJi8nnWAICiikAGACh13nvvPc2YMcP6iGBeKlWqJA8PDwUFBSk1NVU//fSTXFxcFBUVpdTUVHXo0EGS5Ofnp/vuu09ff/31VY954cIFm8cVJalu3bpas2aNYmJiNGvWLGVlZWnkyJGaNGmSXnzxRd11113asWOHfv75Z/32228227q7uystLe06rwAAoKggkAEASp3WrVsrLCxMQ4cOveKY33//XTt37lRycrK2b9+uFi1aSLq4mEdCQoLc3d3l5OQkJycnLVq0SDNmzLjqUvR+fn7XXExk4MCB6t+/vypVqqTVq1fr0UcflYeHh8LDw7V69WqbsQkJCfL398//SQMAiiQnswsAAMAMY8eOVaNGjVSzZs08+6tVqyYfHx+btrNnz+qXX37R7NmzVbduXWt7Tk6O7r77bi1btkzt27fPc3+NGzfW3r17r1jPihUrtG/fPk2bNs26z6ysLEmy/t9L0tPTdeTIETVu3Pia5wkAKNqYIQMAlEr169dXZGSkXcvHf/vttypfvrwee+wx1atXz/pp2LChOnTocNXFPcLCwvTHH3/k2Zeenq5+/fpp6tSpcnC4+D/NLVu21KeffqodO3bop59+UsuWLa3j//zzT7m6uiokJCTftQMAiiYCGQCg1HrzzTev+pjhf3399dfq3LmzzYukL+natat+/fVXnTlzJs9tIyMjtWfPHh04cOCyvtGjRys8PFyNGjWytk2cOFHbt29X69at1bFjR5v3l33//feKjIxUmTJl8l07AKBoshiGYZhdBAAApcGrr76q5ORkff7559e9jzNnzqhmzZravHmzqlWrVoDVAQDMwAwZAAA3ybBhw1SlShW7ZuX+6+jRo/rss88IYwBQQjBDBgAAAAAmYYYMAAAAAExCIAMAAAAAkxDIAAAAAMAkBDIAAAAAMAmBDAAAAABMQiADAAAAAJMQyAAAAADAJAQyAAAAADAJgQwAAAAATPL/AFaz7aoQdMorAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Scatter plot for NPA vs Profit\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.scatterplot(x='NPA', y='Profit', hue='Sector', data=df, palette='Set1')\n",
    "plt.title('NPA vs Profit by Sector')\n",
    "plt.xlabel('NPA (%)')\n",
    "plt.ylabel('Profit (in crores)')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Market Share of Banks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Pie chart of market share by bank\n",
    "plt.figure(figsize=(8, 8))\n",
    "plt.pie(df['Market Share'], labels=df['Bank Name'], autopct='%1.1f%%', startangle=90, colors=sns.color_palette('Paired', 10))\n",
    "plt.title('Market Share of Banks')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Machine Learning model for predicting bank profit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Squared Error: 9099733.333333334\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.metrics import mean_squared_error\n",
    "\n",
    "X = df[['Total Assets', 'Liabilities', 'NPA', 'Market Share']]\n",
    "y = df['Profit']\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)\n",
    "\n",
    "model = RandomForestRegressor(n_estimators=100, random_state=42)\n",
    "model.fit(X_train, y_train)\n",
    "\n",
    "y_pred = model.predict(X_test)\n",
    "\n",
    "\n",
    "mse = mean_squared_error(y_test, y_pred)\n",
    "print(f\"Mean Squared Error: {mse}\")\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.scatter(y_test, y_pred, color='green')\n",
    "plt.plot([y_test.min(), y_test.max()], [y_test.min(), y_test.max()], 'k--', lw=2)\n",
    "plt.title('Actual vs Predicted Profit')\n",
    "plt.xlabel('Actual Profit (in crores)')\n",
    "plt.ylabel('Predicted Profit (in crores)')\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "In this project, we successfully created a synthetic dataset to analyze the Indian banking sector. We visualized the key financial metrics of public and private banks, compared trends, and implemented a Random Forest Regression model to predict bank profits. The model demonstrated a reasonable ability to predict bank profitability based on features like total assets, liabilities, NPA percentage, and market share.\n",
    "\n",
    "Further work can include adding more features or experimenting with different machine learning models to improve predictive accuracy."
   ]
  }
 ],
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   "language": "python",
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    "name": "ipython",
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