crop recommendation.ipynb

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accuracy_score,  confusion_matrix\n","import pickle\n","\n"]},{"cell_type":"code","source":["from google.colab import drive\n","drive.mount('/content/drive')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"x4hWFIYnn_Di","executionInfo":{"status":"ok","timestamp":1651251372806,"user_tz":-330,"elapsed":15924,"user":{"displayName":"Ram Mathala","userId":"02976641632359920741"}},"outputId":"1c403c37-1142-45e9-a758-d71b167b7062"},"execution_count":1,"outputs":[{"output_type":"stream","name":"stdout","text":["Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"]}]},{"cell_type":"code","source":["data = pd.read_csv('/content/drive/MyDrive/Crop Project/Datasets/Crop_recommendation.csv')\n","data.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"z0hI__umoSkz","executionInfo":{"status":"ok","timestamp":1651251383426,"user_tz":-330,"elapsed":1468,"user":{"displayName":"Ram Mathala","userId":"02976641632359920741"}},"outputId":"b4a93e63-468c-43f1-ad24-42b19459c3ca"},"execution_count":3,"outputs":[{"output_type":"execute_result","data":{"text/plain":["    N   P   K  temperature   humidity        ph    rainfall label\n","0  90  42  43    20.879744  82.002744  6.502985  202.935536  rice\n","1  85  58  41    21.770462  80.319644  7.038096  226.655537  rice\n","2  60  55  44    23.004459  82.320763  7.840207  263.964248  rice\n","3  74  35  40    26.491096  80.158363  6.980401  242.864034  rice\n","4  78  42  42    20.130175  81.604873  7.628473  262.717340  rice"],"text/html":["\n","  <div id=\"df-6968a5a2-553d-4a3d-8b8f-971fb0118b79\">\n","    <div class=\"colab-df-container\">\n","      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<td>41</td>\n","      <td>21.770462</td>\n","      <td>80.319644</td>\n","      <td>7.038096</td>\n","      <td>226.655537</td>\n","      <td>rice</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>60</td>\n","      <td>55</td>\n","      <td>44</td>\n","      <td>23.004459</td>\n","      <td>82.320763</td>\n","      <td>7.840207</td>\n","      <td>263.964248</td>\n","      <td>rice</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>74</td>\n","      <td>35</td>\n","      <td>40</td>\n","      <td>26.491096</td>\n","      <td>80.158363</td>\n","      <td>6.980401</td>\n","      <td>242.864034</td>\n","      <td>rice</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>78</td>\n","      <td>42</td>\n","      <td>42</td>\n","      <td>20.130175</td>\n","      <td>81.604873</td>\n","      <td>7.628473</td>\n","      <td>262.717340</td>\n","      <td>rice</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button 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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":["all_columns = data.columns[:-1]\n","\n","plt.figure(figsize=(15,13))\n","i = 1\n","for column in all_columns[:-1]:\n","    plt.subplot(3,3,i)\n","    sns.histplot(data[column])\n","    i+=1\n","plt.show()\n","\n","sns.histplot(data[all_columns[-1]])\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":781},"id":"JuLv8J9_onVn","executionInfo":{"status":"ok","timestamp":1651251393321,"user_tz":-330,"elapsed":2122,"user":{"displayName":"Ram Mathala","userId":"02976641632359920741"}},"outputId":"1ec0f08e-90a0-45aa-c1b7-436cc5c0df30"},"execution_count":5,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1080x936 with 6 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAA3sAAAH2CAYAAADJfJXMAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzde7RfdX3n/+cLEohTxUCJ/HI7k6CR+aHr18ikGKWjEcYRqKvoLMpldSlabHAGZ9TajmC7Wtspv0VnVEZbBWKhQJeVMHhj/NELIuqoPdCgR64iEZCcJJKgAXRsqEnevz++O+Gb5CQ5OTnfy/me52Ot7zp7f/Znf/d7n8vnnPfZn0uqCkmSJEnSYDms1wFIkiRJkiafyZ4kSZIkDSCTPUmSJEkaQCZ7kiRJkjSATPYkSZIkaQCZ7EmSJEnSAJrR6wAOxbHHHluLFi3qdRiSJtndd9/9ZFXN6XUch8L2SRo8tk2S+tH+2qYpnewtWrSINWvW9DoMSZMsyQ96HcOhsn2SBo9tk6R+tL+2yW6ckqaVJAuT3JHkgST3J3l3U/7BJOuTjDSvM9vOuTTJ2iQPJXlD76KXJEkavyn9ZE+SJmAb8L6q+laSFwB3J7mtOXZFVX2ovXKSE4HzgJcB84AvJXlpVW3vatSSJEkHySd7kqaVqtpYVd9qtn8CPAjM388pZwE3VtWzVfUosBY4ufORSpIkHRqTPUnTVpJFwCuAO5uidyW5J8m1SY5uyuYD69pOG2UfyWGSlUnWJFmzefPmDkUtSZI0Ph1L9pLMSnJXku8042L+qCm/LsmjbeNiljblSfKxZlzMPUlO6lRskpTk+cBngPdU1TPAlcCLgaXARuDDB/ueVbWqqpZV1bI5c6b0hH2SJGkAdHLM3rPAqVX10yQzga8n+Zvm2O9W1c171D8DWNK8XknrD69XdjA+SdNU0yZ9BvhUVX0WoKqeaDv+SeCLze56YGHb6QuaMkmSpL7WsWSvqgr4abM7s3nVfk45C7ihOW84yewkc6tqY6dilDT9JAlwDfBgVX2krby9vXkzcF+zfQvw10k+QmuCliXAXV0MWZL61tatWxkeHt6rfPny5cyaNasHEUlq19HZOJMcDtwNvAT4eFXdmeQ/AJcl+QPgduCSqnqWfY+L2bjHe64EVgIMDQ11Mvyem79wiA2j6w5ccQzzFixk/brHJzkiaSCcArwFuDfJSFP2AeD8plt5AY8BFwFU1f1JbgIeoDWT58XOxNkfhhYfz4bR0f3WmbdgAY8/+kiXIpKmn+HhYd77ic9z9MIlu8p+9NiDvH1khKVLl+5W1wRQ6r6OJnvNH0RLk8wGPpfk5cClwA+BI4BVwPuBPz6I91zVnMeyZcv296Rwytswuo5zr/7mhM5dfdGrJzkaaTBU1deBjHHo1v2ccxlwWceC0oRsGB3l7I9/db91br74tV2KRpq+jl64hBed8NxUC1vWfY+rbn+QeetmtpU9zBXAihUruh+gNI11ZZ29qnoqyR3A6W1rWD2b5C+B32n2HRcjSZI0AI6ad/xuCaCk3ujkbJxzmid6JHke8Hrgu0nmNmUB3sTu42Le2szKuRx42vF6kiRJkjQxnXyyNxe4vhm3dxhwU1V9McmXk8yh1Y1qBHhnU/9W4ExaCxb/DHh7B2OTJEmSpIHWydk476G1WPGe5afuo34BF3cqHkmSJEmaTjrWjVOSJEmS1Dsme5IkSZI0gEz2JEmSJGkAmexJkiT1gSSzktyV5DtJ7k/yR0354iR3JlmbZHWSI5ryI5v9tc3xRb2MX1L/MdmTJEnqD88Cp1bVLwFLgdOb5aj+FLiiql4CbAEubOpfCGxpyq9o6knSLiZ7kiRJfaBaftrszmxeBZwK3NyUX09rnWKAs5p9muOnNesYSxJgsidJktQ3khyeZATYBNwGfB94qqq2NVVGgfnN9nxgHUBz/GngF8d4z5VJ1iRZs3nz5k7fgqQ+YrInSZLUJ6pqe1UtBRYAJwP/ahLec1VVLauqZXPmzDnkGCVNHSZ7kiRJfaaqngLuAF4FzE4yozm0AFjfbK8HFgI0x18I/KjLoUrqYyZ7kiRJfSDJnCSzm+3nAa8HHqSV9J3dVLsA+EKzfUuzT3P8y1VV3YtYUr+bceAqkiRJ6oK5wPVJDqf1D/mbquqLSR4AbkzyJ8C3gWua+tcAf5VkLfBj4LxeBC2pf5nsSZIk9YGqugd4xRjlj9Aav7dn+Vbg17sQmqQpym6ckiRJkjSATPYkSZIkaQCZ7EmSJEnSADLZkyRJkqQBZLInSZIkSQPIZE+SJEmSBpDJniRJkiQNoI4le0lmJbkryXeS3J/kj5ryxUnuTLI2yeokRzTlRzb7a5vjizoVmyRJkiQNuk4+2XsWOLWqfglYCpyeZDnwp8AVVfUSYAtwYVP/QmBLU35FU0+SJEmSNAEdS/aq5afN7szmVcCpwM1N+fXAm5rts5p9muOnJUmn4pMkSZKkQdbRMXtJDk8yAmwCbgO+DzxVVduaKqPA/GZ7PrAOoDn+NPCLnYxPkiRJkgZVR5O9qtpeVUuBBcDJwL861PdMsjLJmiRrNm/efMgxSpIkSdIg6spsnFX1FHAH8CpgdpIZzaEFwPpmez2wEKA5/kLgR2O816qqWlZVy+bMmdPx2CVJkiRpKurkbJxzksxutp8HvB54kFbSd3ZT7QLgC832Lc0+zfEvV1V1Kj5JkiRJGmQzDlxlwuYC1yc5nFZSeVNVfTHJA8CNSf4E+DZwTVP/GuCvkqwFfgyc18HYJEmSJGmgdSzZq6p7gFeMUf4IrfF7e5ZvBX69U/H0yvyFQ2wYXdfrMCS1SbIQuAE4jtYswauq6qNJjgFWA4uAx4BzqmpLMzPwR4EzgZ8Bb6uqb/UidkmSpPHq5JM9ARtG13Hu1d+c0LmrL3r1JEcjqbENeF9VfSvJC4C7k9wGvA24vaouT3IJcAnwfuAMYEnzeiVwZfNRkiSpb5nsSZp2qmojsLHZ/kmSB2kt/3IWsKKpdj3wFVrJ3lnADc044uEks5PMbd5HknQA27f9nJGRkb3Kly9fzqxZs3oQkTQ9mOxJmtaSLKLV5fxO4Li2BO6HtLp5Qts6oI2da4Sa7EnSODyz8VGuemQr89bN3FW2Zd3DXAGsWLGiZ3FJg85kT9K0leT5wGeA91TVM62heS1VVUkOakbgJCuBlQBDQ0OTGaokTXlHzTueF51wUq/DkKaVrqyzJ0n9JslMWonep6rqs03xE0nmNsfnApua8l3rgDba1wjdxXVAJUlSPzHZkzTtNLNrXgM8WFUfaTvUvt7nnuuAvjUty4GnHa8nSZL6ncmepOnoFOAtwKlJRprXmcDlwOuTPAz822Yf4FbgEWAt8EngP/YgZkkDLsnCJHckeSDJ/Une3ZR/MMn6PdqrnedcmmRtkoeSvKF30UvqR47ZkzTtVNXXgezj8Glj1C/g4o4GJUn7XhYG4Iqq+lB75SQnAucBLwPmAV9K8tKq2t7VqCX1LZ/sSZIk9YGq2lhV32q2fwLsXBZmX84CbqyqZ6vqUVq9D07ufKSSpgqTPUmSpD6zx7IwAO9Kck+Sa5Mc3ZTta1mYPd9rZZI1SdZs3ry5g1FL6jcme5IkSX1kz2VhgCuBFwNLaa3v+eGDeT9nCpamL5M9SZKkPjHWsjBV9URVba+qHbQmidrZVXNcy8JImr5M9iRJh2xo8fHMmHnEfl9Di4/vdZhSX9vXsjA71/9svBm4r9m+BTgvyZFJFgNLgLu6Fa+k/udsnJKkQ7ZhdJSzP/7V/da5+eLXdikaacrauSzMvUlGmrIPAOcnWQoU8BhwEUBV3Z/kJuABWjN5XuxMnJLamexJkiT1gf0sC3Prfs65DLisY0FJmtKmVTfO+QuHSHLQr/kLh3oduiRJkiQdlGn1ZG/D6DrOvfqbB33e6ote3YFoJEmSJKlzplWyJ0maXnYUzJh5xAHrzVuwgMcffaQLEUmS1D0me5KkgVU7tnH2Vd84YD0nj5EkDaJpNWZPkiRJkqaLjiV7SRYmuSPJA0nuT/LupvyDSdYnGWleZ7adc2mStUkeSvKGTsUmSZIkSYOuk904twHvq6pvJXkBcHeS25pjV1TVh9orJzkROA94GTAP+FKSl7pejCRJkiQdvI492auqjVX1rWb7J8CDwPz9nHIWcGNVPVtVjwJrgZM7FZ8kSZIkDbKujNlLsgh4BXBnU/SuJPckuTbJ0U3ZfGBd22mjjJEcJlmZZE2SNZs3b+5g1JIkSZI0dXU82UvyfOAzwHuq6hngSuDFwFJgI/Dhg3m/qlpVVcuqatmcOXMmPV5JkiRJGgQdTfaSzKSV6H2qqj4LUFVPVNX2qtoBfJLnumquBxa2nb6gKZMkSZIkHaROzsYZ4Brgwar6SFv53LZqbwbua7ZvAc5LcmSSxcAS4K5OxSdJkiRJg6yTs3GeArwFuDfJSFP2AeD8JEuBAh4DLgKoqvuT3AQ8QGsmz4udiVOSJEmSJqZjyV5VfR3IGIdu3c85lwGXdSomSRp0Q4uPZ8Po6AHrzVuwgMcffaQLEUmSpF7p5JM9SVKXbRgd5eyPf/WA9W6++LVdiGbwmExLkqYSkz1JksbJZFqSNJV0ZZ09SZIkSVJ3mexJkiRJ0gAy2ZMkSZKkAWSyJ0mSJEkDyGRPkiRJkgaQyZ4kSZIkDSCTPUmSpD6QZGGSO5I8kOT+JO9uyo9JcluSh5uPRzflSfKxJGuT3JPkpN7egaR+Y7InSdPQjoIZM4844Gto8fG9DlWaTrYB76uqE4HlwMVJTgQuAW6vqiXA7c0+wBnAkua1Eriy+yFL6mcuqi5J01Dt2MbZV33jgPVcHFzqnqraCGxstn+S5EFgPnAWsKKpdj3wFeD9TfkNVVXAcJLZSeY27yNJPtmTNP0kuTbJpiT3tZV9MMn6JCPN68y2Y5c23aQeSvKG3kQtaTpJsgh4BXAncFxbAvdD4Lhmez6wru200aZsz/damWRNkjWbN2/uWMyS+o/JnqTp6Drg9DHKr6iqpc3rVoCmC9V5wMuacz6R5PCuRSpp2knyfOAzwHuq6pn2Y81TvDqY96uqVVW1rKqWzZkzZxIjldTv7MYpadqpqq81/zUfj7OAG6vqWeDRJGuBk4F/6FB4kqaxJDNpJXqfqqrPNsVP7OyemWQusKkpXw8sbDt9QVM2LW3dupXh4eG9ypcvX86sWbN6EJHUeyZ743HYDJL0OgpJnfeuJG8F1tCaJGELrS5R7X89jNlNClpdpWhNksDQ0FCHQ5U0aNL6Y+Ma4MGq+kjboVuAC4DLm49faCt/V5IbgVcCT0/n8XrDw8O89xOf5+iFS3aVbVn3MFcAK1as6FlcUi+Z7I3Hjm2ce/U3J3Tq6otePcnBSOqQK4H/Sqt71H8FPgz85sG8QVWtAlYBLFu27KC6WUkScArwFuDeJCNN2QdoJXk3JbkQ+AFwTnPsVuBMYC3wM+Dt3Q23/xy9cAkvOsEVKKSdTPYkCaiqJ3ZuJ/kk8MVm125Skrqiqr4O7Ksr0Wlj1C/g4o4GJWlKc4IWSQKacTA7vRnYOVPnLcB5SY5MspjWelZ3dTs+SZKkg+WTPUnTTpJP01qz6tgko8AfAiuSLKXVjfMx4CKAqro/yU3AA7QWPL64qrb3Im51zs5F5g9k+3a/9JKkqWNcyV6SU6rqGwcq2+P4QuAGWmvBFLCqqj6a5BhgNbCI1h9U51TVlmZQ8kdp9T3/GfC2qvrWwd+SpOliIm0TQFWdP0bxNfupfxlw2cSi1E7jTajmLVjA448+0oWInjPeReZXv/OULkSjQTDR9kmSJtN4n+z9GbDnaNexytptozWb3beSvAC4O8ltwNuA26vq8iSXAJcA7wfOoNU9agmtGaWubD5K0r5MpG3qO0OLj2fD6OgB6/UiCZpM402obr74tV2IRuq4gWifJE1t+032krwKeDUwJ8lvtx06CtjvosLN1L8bm+2fJHmQ1nTlZ9HqPgVwPfAVWsneWcANzWDj4SSzd64pc7A3JWmwHUrb1I82jI5y9se/esB6JkFS/xu09knS1HagJ3tHAM9v6r2grfwZ4OzxXqRZvPgVwJ3AcW0J3A9pdfOEViK4ru20nWtZ7ZbsuY6VJCapbVJ/cvycpjjbJ0l9Y7/JXlV9Ffhqkuuq6gcTuUCS5wOfAd5TVc+0L05eVZXkoNaich0rSZPRNql/OX5OU5ntk6R+Mt4xe0cmWUVrUpVd51TVqfs7KclMWonep6rqs03xEzu7ZzZTnW9qyl3LStLBmlDbJEldYPskqefGm+z9T+Aq4C+AcfWbaWbXvAZ4sKo+0nboFuAC4PLm4xfayt+V5EZaE7M87Xg9SQdw0G2TJHWJ7ZOknhtvsretqq48yPc+BXgLcG+SkabsA7SSvJuSXAj8ADinOXYrrWUX1tJaeuHtB3k9SdPPRNomSeoG2ydJPTfeZO9/JfmPwOeAZ3cWVtWP93VCVX0dyD4OnzZG/QIuHmc8kgQTaJskqUtsnyT13HiTvQuaj7/bVlbA8ZMbjiQdFNsmSf3K9klSz40r2auqxZ0ORJIOlm2TpH5l+ySpH4wr2Uvy1rHKq+qGyQ1HksbPtklSv7J9ktQPxtuN85fbtmfRGnP3LcAGS1Iv2TZJ6le2T5J6brzdOP9T+36S2cCNHYlIksbJtklSv7J9ktQPDpvgef8HsC+6pH5j2ySpX9k+Seq68Y7Z+1+0ZpACOBz4v4GbOhWUJI2HbZOkfmX7NDFbt25leHh4r/Lly5cza9asHkQkTW3jHbP3obbtbcAPqmq0A/FI0sGwbZLUr2yfJmB4eJj3fuLzHL1wya6yLese5gpgxYoVPYtLmqrGO2bvq0mO47nBxg93LiRJGh/bJkn9yvZp4o5euIQXnXBSr8OQBsK4xuwlOQe4C/h14BzgziRndzIwSToQ2yZJ/cr2SVI/GG83zt8DfrmqNgEkmQN8Cbi5U4FJ0jjYNknqV7ZPfWD7tp8zMjKyV7ljADVdjDfZO2xnY9X4EROfyVOSJsu0apt2FMyYecR+62zfvr1L0Ug6gINun5JcC7wR2FRVL2/KPgj8FrC5qfaBqrq1OXYpcCGwHfjPVfV3k3oHA+CZjY9y1SNbmbdu5q4yxwBqOhlvsve3Sf4O+HSzfy5wa2dCkqRxm1ZtU+3YxtlXfWO/dVa/85QuRSPpACbSPl0H/Dl7L7x+RVW1T/hCkhOB84CXAfOALyV5aVX5H589HDXveMcAatrab7KX5CXAcVX1u0n+PfArzaF/AD7V6eAkaSy2TZL61aG0T1X1tSSLxnmps4Abq+pZ4NEka4GTm+tIEnDg7k7/A3gGoKo+W1W/XVW/DXyuOSZJvWDbJKlfdaJ9eleSe5Jcm+Topmw+sK6tzmhTtpckK5OsSbJm8+bNY1WRNKAOlOwdV1X37lnYlC3qSERSl81fOESSCb3mLxzqdfjTlW2TpH412e3TlcCLgaXARuDDB/sGVbWqqpZV1bI5c+ZMIARJU9WBxuzN3s+x501mIFKvbBhdx7lXf3NC566+6NWTHI3GybZJUr+a1Papqp7YuZ3kk8AXm931wMK2qguaMkna5UBP9tYk+a09C5O8A7i7MyFJ0gHZNknqV5PaPiWZ27b7ZuC+ZvsW4LwkRyZZDCyhta6fJO1yoCd77wE+l+Q3eK6BWgYcQavBkaResG2S1K8m3D4l+TSwAjg2ySjwh8CKJEuBAh4DLgKoqvuT3AQ8AGwDLnYmTkl72m+y13QdeHWS1wEvb4r/v6r68oHe2LViJHXKobRNktRJh9I+VdX5YxRfs5/6lwGXTShQSdPCuNbZq6o7gDsO8r2vw7ViJHXQBNsmSeo42ydJ/eBAY/YmrKq+Bvx4nNV3rRVTVY8CO9eK0UQdNsMZJiVJkqRpbFxP9ibZu5K8FVgDvK+qttBaF2a4rc4+14rROO3Y5gyTkiRJ0jTWsSd7+3DIa8W4MKikQ9UsTLwpyX1tZcckuS3Jw83Ho5vyJPlYkrXNosYn9S5ySZKk8etqsldVT1TV9qraAXyS57pqjnutGBcGlTQJrgNO36PsEuD2qloC3N7sA5xBa0rzJcBKWv+0kiRJ6ntdTfZcK0ZSP9jHmOKzgOub7euBN7WV31Atw8DsPdoySZKkvtSxMXuuFSNpijmuqjY22z8Ejmu25wPr2urtHFO8EUmSpD7WsWTPtWIkTVVVVUnqYM9LspJWV0+GhpzVVpIk9Va3J2iRpH71xM7umc3HTU25Y4olSdKUZLInHQrXMxwktwAXNNsXAF9oK39rMyvncuDptu6ekiRJfasX6+xJg8P1DKekfYwpvhy4KcmFwA+Ac5rqtwJnAmuBnwFv73rAPbSjYMbMIw5Yb/t2h1lLktRvTPYkTTv7GFMMcNoYdQu4uLMR9a/asY2zr/rGAeutfucpXYhGkiQdDLtxSpIkSdIAMtmTJEmSpAFksidJkiRJA8hkT5IkSZIGkBO0SJIkaUrZunUrw8PDu5WNjIywow7vUURSfzLZkyRJ0pQyPDzMez/xeY5euGRX2eN3f51jTvjlHkYl9R+TPUmSJHXd9m0/Z2RkZLeysZ7O7aveCxe8mBedcNKusi3rvte5YKUpymRPkiRJXffMxke56pGtzFs3c1fZWE/nxltP0t5M9iRJktQTR807flxP58ZbT9LunI1TkiRJkgaQyZ4GwvyFQySZ0EuSpH6Q5Nokm5Lc11Z2TJLbkjzcfDy6KU+SjyVZm+SeJCft+50lTVd249RA2DC6jnOv/uaEzl190asnOZpxOmzGhJPNeQsWsn7d45MckCSpx64D/hy4oa3sEuD2qro8ySXN/vuBM4AlzeuVwJXNR0naxWRP6pUd2yaeoP6H10woUTRJlKT+VVVfS7Joj+KzgBXN9vXAV2gle2cBN1RVAcNJZieZW1UbuxOtpKnAZE+aiiaYKPbsKaYkaaKOa0vgfggc12zPB9a11RttyvZK9pKsBFYCDA0NdS5SSX3HMXuSJElTQPMUryZw3qqqWlZVy+bMmdOByCT1q44mew40liRJOiRPJJkL0Hzc1JSvBxa21VvQlEnSLp3uxnkdDjSWJEmaqFuAC4DLm49faCt/V5Ibaf299LTj9aSpZ+vWrQwPD+9Vvnz5cmbNmnXI79/RZM+BxtPP/IVDbBhdd+CKY3DyEEnSdJbk07T+Rjo2ySjwh7SSvJuSXAj8ADinqX4rcCawFvgZ8PauByzpkA0PD/PeT3yeoxcu2VW2Zd3DXAGsWLHikN+/FxO0HPJAY/WvKbkEgiRJfaCqzt/HodPGqFvAxZ2NSFI3HL1wCS86oTMj2Ho6QctEBhonWZlkTZI1mzdv7lBkkiRJkjS19SLZO6SBxs4oJUmSDmRo8fHMmHnEAV9Di4/vdaiS1DG96MbpQGNJktRRG0ZHOfvjXz1gvZsvfm0XopGk3uhosudAY0mSJEnqjU7PxulAY0mSJEnqgZ5O0CJJkiRJ6gyTPUmSJEkaQCZ7kiRJkjSAejEbpyRJA21HwYyZR+y3zrwFC3j80Ue6FJEkaToy2VP/OGwGSXodhSQdstqxjbOv+sZ+6zjlvySp00z21D92bOPcq785oVNXX/TqSQ5GkiRJmtpM9iRJkjRtbN/2c0ZGRvYqX758ObNmzepBRFLnmOxJkiRp2nhm46Nc9chW5q2buatsy7qHuQJYsWJFz+KSOsFkT5LaJHkM+AmwHdhWVcuSHAOsBhYBjwHnVNWWXsUoSTo0R807nhedcFKvw5A6zmRPkvb2uqp6sm3/EuD2qro8ySXN/vt7E5okSZqKtm7dyvDw8G5lIyMj7KjDO3ZNkz1JOrCzgBXN9vXAVzDZkyRJB2F4eJj3fuLzHL1wya6yx+/+Osec8Msdu6bJniTtroC/T1LA1VW1CjiuqjY2x38IHDfWiUlWAisBhoaGuhGrJEmaQo5euGS3LsRb1n2vo9cz2ZOk3f1KVa1P8iLgtiTfbT9YVdUkgntpEsNVAMuWLRuzjiRJUrcc1usAJKmfVNX65uMm4HPAycATSeYCNB839S5CSZKk8THZk6RGkl9I8oKd28C/A+4DbgEuaKpdAHyhNxFKGlp8PDNmHnHA1/bt23sdqiT1nN04Jek5xwGfSwKt9vGvq+pvk/wjcFOSC4EfAOf0MEZpWtswOsrZH//qAeutfucpXYhGkvqbyZ4kNarqEeCXxij/EXBa9yOSJEmaOLtxSpKkjhpv18uhxcf3OtS+leSxJPcmGUmypik7JsltSR5uPh7d6zgl9Ref7EmSpI4ab9fLmy9+bReimdJeV1VPtu1fAtxeVZcnuaTZdw1QSbv4ZE97O2wGSSb0kiRJXXMWcH2zfT3wph7GIqkP9ezJXpLHgJ8A24FtVbUsyTHAamAR8BhwTlVt6VWM09aObZx79TcndOrqi149ycFIkiSggL9v1vm8ulnX87iq2tgc/yGtSab2kmQlsBJgaGioG7FK6hO9frL3uqpaWlXLmv2d3RGWALc3+5IkSdPdr1TVScAZwMVJXtN+sKqKVkK4l6paVVXLqmrZnDlzuhCqpH7Rb2P2zgJWNNvXA1/BvueSJGmaq6r1zcdNST4HnAw8kWRuVW1MMhfYNFnX27p1K8PDw3uVL1++nFmzZk3WZSR1WC+TvQl1R7ArgiRJmk6S/AJwWFX9pNn+d8AfA7cAFwCXNx+/MFnXHB4e5r2f+DxHL1yyq2zLuoe5AlixYsVkXUZSh/Uy2fuVqlqf5EXAbUm+236wqqpJBNmjfBWwCmDZsmVjdleQJEkaIMcBn2smQpsB/HVV/W2SfwRuSnIh8APgnMm86NELl/CiE06azLeU1GU9S/a63R1BkiT1tx0FM2Yesd8627dv71I0/aOqHgF+aYzyHwGndT8iSVNFT5K9XnRHkCRJ/a12bOPsq76x3zqr33lKl6KRJs4xjxrre2BkZIQddXhX4+jVk72edEeQJEmSOs0xjxrre+Dxu7/OMSf8clfj6EmyZ3cESZKkqWX7tp8zMjKyW1kvnlRMFY551J7fA1vWfa/rMfTb0guSJEnqQ89sfJSrHtnKvHUzd5X14kmFpPEz2ZMkqQfGMxkJwLwFC3j80W2BGokAACAASURBVEe6EJF0YEfNO77nTyokjZ/JniRJPTCeyUgAbr74tV2IRlKnjdUNFpy0RZ1lsidJkiR12FjdYJ20RZ1msidJkiR1wZ7dYKVOO6zXAUiSJEmSJp/JniRJkiQNIJM9SZIkSRpAjtmTJKmPuUSDJGmiTPYkSepjLtEgSZoou3FKkiRJ0gDyyZ6kcZm/cIgNo+smdO68BQtZv+7xSY5IkqTe27p1K8PDw7uVjYyMsKMO71FE0nNM9qTp5LAZJJnw6ede/c0Jnbf6oldP+JqSJPWz4eFh3vuJz3P0wiW7yh6/++scc8Iv9zAqqcVkT5pOdmwzYZMkaZIdvXDJboulb1n3vR5GIz3HZE+SJE3I0OLj2TA6esB627dv70I00tSzfdvPGRkZ2at8+fLlzJo1qwcRadCY7EmSpAnZMDrK2R//6gHrrX7nKV2IRpp6ntn4KFc9spV562buKtuy7mGuAFasWNGzuDQ4TPYkSZKkHjlq3vG7dQGVJpNLL0iSJEnSADLZkyRJkqQB1HfJXpLTkzyUZG2SS3odjySBbZOk/mX7JGlf+irZS3I48HHgDOBE4PwkJ/Y2KknTnW2TpH5l+yRpf/ptgpaTgbVV9QhAkhuBs4AHehqVpOnOtklSv+pY+7Rl3cO77f9k03pm/NNWNj3/+QNXtmXdw4yM/Hz8n5w2IyMjbFn32G5lvYpF/eNQvi9aP3svm5Q4UlWT8kaTIcnZwOlV9Y5m/y3AK6vqXW11VgIrm90TgIcO4hLHAk9OUrgHq5fX9vpef6pd/19W1ZxOBXOwxtM2NeX7ap+m2uff63t9rz+2vmqbYFL/dur116nTvL+pzfvbv322Tf32ZO+AqmoVsGoi5yZZU1XLJjmkvr+21/f60/363bKv9qnX9+/1vb7XH/z2Z3/G87fToH+evL+pzfubuL4aswesBxa27S9oyiSpl2ybJPUr2ydJ+9Rvyd4/AkuSLE5yBHAecEuPY5Ik2yZJ/cr2SdI+9VU3zqraluRdwN8BhwPXVtX9k3iJCXX/HIBre32vP92vf0gmoW3q9f17fa/v9QfUJP7tNNCfJ7y/qc77m6C+mqBFkiRJkjQ5+q0bpyRJkiRpEpjsSZIkSdIAmhbJXpLTkzyUZG2SS7pwvYVJ7kjyQJL7k7y7KT8myW1JHm4+Ht3hOA5P8u0kX2z2Fye5s/k8rG4Gcnfq2rOT3Jzku0keTPKqbt5/kvc2n/v7knw6yaxO3n+Sa5NsSnJfW9mY95uWjzVx3JPkpA5d/783n/97knwuyey2Y5c2138oyRs6cf22Y+9LUkmObfYn/f77lW2PbY9tj21Pv+t2O9UNSR5Lcm+SkSRrmrKutoOTqdc/5522j/v7YJL1zddwJMmZbccmtR3ptIP93TzpX8OqGugXrcHK3weOB44AvgOc2OFrzgVOarZfAHwPOBH4b8AlTfklwJ92OI7fBv4a+GKzfxNwXrN9FfAfOnjt64F3NNtHALO7df/AfOBR4Hlt9/22Tt4/8BrgJOC+trIx7xc4E/gbIMBy4M4OXf/fATOa7T9tu/6Jzc/BkcDi5ufj8Mm+flO+kNakAT8Aju3U/ffjy7bHtse2x7an31+9aKe6dF+P7fy6t5V1tR2c5Pvp6c95j+7vg8DvjFF30tuRLtzfQf1unuyvYc8/AV34BL8K+Lu2/UuBS7scwxeA1wMPAXPbvvAPdfCaC4DbgVOBLzbfME+2/QLe7fMyydd+Ia0/eLJHeVfun9YfXOuAY2jNOPtF4A2dvn9g0R4N1Zj3C1wNnD9Wvcm8/h7H3gx8qtne7WeA1h9Er+rE9YGbgV+i7Rdvp+6/3162PbY9tj22Pf3+6od2qkP3tevrPtbXu9PtYIfuqac/5z24vw8ydrLXkXaky/e639/Nk/01nA7dOHf+8t1ptCnriiSLgFcAdwLHVdXG5tAPgeM6eOn/AfwXYEez/4vAU1W1rdnv5OdhMbAZ+Mu0unL9RZJfoEv3X1XrgQ8BjwMbgaeBu+ne/e+0r/vtxffkb9L6L1HXrp/kLGB9VX1nj0M9/ZnsItueFtse2x7bnv41qJ+TAv4+yd1JVjZl3WwHu6Gffs475V1NN8Zr27rdTun7G+fv5km9x+mQ7PVMkucDnwHeU1XPtB+rVqpeHbruG4FNVXV3J95/HGbQehx/ZVW9Avg/tB5P79Lh+z8aOIvWH37zgF8ATu/Etcark/d7IEl+D9gGfKqL1/wXwAeAP+jWNfUc2x7bnp1sezRN/UpVnQScAVyc5DXtB3v5c9EJg3Y/jSuBFwNLaf3z7MO9DefQ9ep383RI9tbT6ru/04KmrKOSzKT1Bf1UVX22KX4iydzm+FxgU4cufwrwa0keA26k1Z3qo8DsJDOaOp38PIwCo1V1Z7N/M60/wLp1//8WeLSqNlfVz4HP0vqcdOv+d9rX/XbtezLJ24A3Ar/RNCTduv6Laf3B+53m+3AB8K0k/1eXrt8PbHtse2x7bHv63UB+Tpqn7FTVJuBzwMl0rx3olp7/nHdSVT1RVduragfwSVpfQ5ii93eQv5sn9R6nQ7L3j8CStGZDOwI4D7ilkxdMEuAa4MGq+kjboVuAC5rtC2j12Z10VXVpVS2oqkW07vfLVfUbwB3A2V24/g+BdUlOaIpOAx6gS/dPqwvV8iT/ovla7Lx+V+6/zb7u9xbgrc1sS8uBp9se40+aJKfT6k73a1X1sz3iOi/JkUkWA0uAuybz2lV1b1W9qKoWNd+Ho7QGJ/+QLt1/H7Dtse2x7bHt6Xddb6c6LckvJHnBzm1aEwbdR/fagW7p6c95p+1MghpvpvU1hC60I5NtAr+bJ/dreKiDDKfCi9asNt+jNWPP73Xher9C61HsPcBI8zqT1tiV24GHgS8Bx3QhlhU8NyPe8bR+INYC/xM4soPXXQqsaT4HnweO7ub9A38EfJdW4/BXtGZt6tj9A5+m1c3g57T+uLhwX/dLa8KKjzffj/cCyzp0/bW0+nzv/B68qq3+7zXXfwg4oxPX3+P4Yzw3ScKk33+/vmx7bHtse2x7+v3V7XaqC/dzPK3ZGr8D3L/znnrRDk7iPfX057xH9/dXTfz30Ep+5rbVn9R2pAv3d1C/myf7a5jmTSVJkiRJA2Q6dOOUJEmSpGnHZE+SJEmSBpDJniRJkiQNIJM9SZIkSRpAJnuSJEmSNIBM9tTXklSSD7ft/06SD/YwJEkCIMn2JCNJ7kvyP5P8i17HJElJftq2fWaS7yX5l72MSb1jsqd+9yzw75Mc2+tAJGkP/1RVS6vq5cA/A+/sdUCStFOS04CP0VqL7ge9jke9YbKnfrcNWAW8t9eBSNJ+/G/gJb0OQpIAkrwG+CTwxqr6fq/jUe+Y7Gkq+DjwG0le2OtAJGlPSWYAZwD39joWSQKOBD4PvKmqvtvrYNRbJnvqe1X1DHAD8J97HYsktXlekhFgDfA4cE2P45EkgJ8D3wQu7HUg6r1UVa9jkPYpyU+r6vlJjgG+Bfwlre/bD/Y2MknT3c72qddxSFK7ZoKWFwG3A/+rqv7fHoekHvLJnqaEqvoxcBP+l0qSJGm/qupnwK/SGgbj307TmMmeppIPA87KKUmSdADNP8pPB34/ya/1Oh71ht04JUmSJGkA+WRPkiRJkgaQyZ4kSZIkDSCTPUmSJEkaQCZ7kiRJkjSATPYkSZIkaQCZ7EmSJEnSADLZkyRJkqQBZLInSZIkSQPIZE+SJEmSBlDHkr0kC5PckeSBJPcneXdTfkyS25I83Hw8uilPko8lWZvkniQndSo2SZIkSRp0nXyytw14X1WdCCwHLk5yInAJcHtVLQFub/YBzgCWNK+VwJUdjE2SJEmSBtqMTr1xVW0ENjbbP0nyIDAfOAtY0VS7HvgK8P6m/IaqKmA4yewkc5v3GdOxxx5bixYt6tQtSOqRu++++8mqmtPrOA6F7ZM0eGybJPWj/bVNHUv22iVZBLwCuBM4ri2B+yFwXLM9H1jXdtpoU7bPZG/RokWsWbNmssOV1GNJftDrGA6V7ZM0eGybJPWj/bVNHZ+gJcnzgc8A76mqZ9qPNU/x6iDfb2WSNUnWbN68eRIjlSRJkqTB0dFkL8lMWonep6rqs03xE0nmNsfnApua8vXAwrbTFzRlu6mqVVW1rKqWzZkzpXtSSJIkSVLHdHI2zgDXAA9W1UfaDt0CXNBsXwB8oa38rc2snMuBp/c3Xk+SJEmStG+dHLN3CvAW4N4kI03ZB4DLgZuSXAj8ADinOXYrcCawFvgZ8PYOxiZJkiRJA62Ts3F+Hcg+Dp82Rv0CLu5UPJLULsnhwBpgfVW9Mcli4EbgF4G7gbdU1T8nORK4AfjXwI+Ac6vqsR6FLUmSNG4dn6BFkvrUu4EH2/b/FLiiql4CbAEubMovBLY05Vc09SRJkvqeyZ6kaSfJAuBXgb9o9gOcCtzcVLkeeFOzfVazT3P8tKa+JElSXzPZkzQd/Q/gvwA7mv1fBJ6qqm3N/s51PqFtDdDm+NNN/b24NIwkSeonXVlUXRrLb/2n97Hhyaf2Kp937Gw++Wcf7kFEmg6SvBHYVFV3J1kxme9dVauAVQDLli07qDVEJY1t/sIhNoyuG3f9eQsWsn7d4x2MSOqMd1/yB6x/crclqZl/7FF89PI/7lFEGgQme+qZDU8+xQte9469y+/4ix5Eo2nkFODXkpwJzAKOAj4KzE4yo3l6177O5841QEeTzABeSGuiFkldsGF0Hede/c1x11990as7GI3UOeuffIYZJ5+7e9ldq3sUjQaF3TglTStVdWlVLaiqRcB5wJer6jeAO4Czm2p7rgG6c23Qs5v6PrWTJEl9zyd7ktTyfuDGJH8CfBu4pim/BvirJGuBH9NKECVJ6rh77/kOZ7/jPbuV2bVTB8NkT9K0VVVfAb7SbD8CnDxGna3Ar3c1MEmSgK11mF07dUjsxilJkiRJA8hkT5IkSZIGkN04JUmS+kCSa4Gdy8O8vClbDZzQVJlNa03QpUkWAQ8CDzXHhqvqnd2NWL3gOD4dDJM9SZKk/nAd8OfADTsLqmrXgK0kHwaebqv//apa2rXo1Bccx6eDYbInSZLUB6rqa80Tu70kCXAOcGo3Y5I0tTlmT5Ikqf/9G+CJqnq4rWxxkm8n+WqSf9OrwCT1L5/sqe/cd9+9/Or5F+5WNu/Y2Xzyzz7co4gkSeq584FPt+1vBIaq6kdJ/jXw+SQvq6pn9jwxyUpgJcDQ0FBXgpXUH0z21Hf+uQ7jBa97x25lG+74ix5FI0lSbyWZAfx74F/vLKuqZ4Fnm+27k3wfeCmwZs/zq2oVsApg2bJl1Y2YJfUHu3FKkiT1t38LfLeqRncWJJmT5PBm+3hgCfBIj+KT1Kc6luwluTbJpiT3tZWtTjLSvB5LMtKUL0ryT23HrupUXJIkSf0oyaeBfwBOSDKaZOeYhvPYvQsnwGuAe5q/pW4G3llVP+5etJKmgk5247wOpw+WJEkal6o6fx/lbxuj7DPAZzodk6SprWPJntMHS5IkSVLv9GrM3oSnD06yMsmaJGs2b97c+UglSZIkaQrqVbK3r+mDXwH8NvDXSY4a68SqWlVVy6pq2Zw5c7oQqiRJkiRNPV1feuFQpw+WJEmSprJ3X/IHrH9y9yUR73vwuyw9uUcBaWD1Yp29MacPBn5cVdudPlhSpyWZBXwNOJJWO3hzVf1hkuuA1/Lc5FFvq6qRZpzxR4EzgZ815d/qfuSSpEGw/slnmHHyubuV/dN3fr9H0WiQdSzZa6YPXgEcm2QU+MOquoZ9Tx/8x0l+DuzA6YMlddazwKlV9dMkM4GvJ/mb5tjvVtXNe9Q/g9Y/oZYArwSubD5KkiT1rU7Oxun0wZL6UlUV8NNmd2bzqv2cchZwQ3PecJLZSeZW1cYOhypJkjRhvZqgRZJ6KsnhzWLEm4DbqurO5tBlSe5JckWSI5uy+cC6ttNHmzJJkqS+1Ysxe5LUc1W1HViaZDbwuSQvBy4FfggcAawC3g/88XjfM8lKYCXA0NDQpMcsSdJY7r3nO5z9jvfsVjb/2KP46OXj/hWmAWWyJ2laq6qnktwBnF5VH2qKn03yl8DvNPvrgYVtpy1oyvZ8r1W0kkSWLVu2v26hkiRNmq112F4Tvqy/a3WPolE/sRunpGknyZzmiR5Jnge8HvhukrlNWYA3Afc1p9wCvDUty4GnHa8nSZL6nU/2JE1Hc4HrkxxO659eN1XVF5N8uVkKJsAI8M6m/q20ll1YS2vphbf3IGZJksbNrp0Ckz1J01BV3QO8YozyU/dRv4CLOx2XJEmTxa6dArtxSpIkSdJAMtmTJEmSpAFksidJkiRJA8gxe5oS7rvvXn71/Av3Kp937Gw++Wcf7kFEkiRJUn8z2dOU8M91GC943Tv2Kt9wx1/0IBpJkiSp/5nsqSt+6z+9jw1PPrVb2QPf/R6vfF2PApIkqc8kuRZ4I7Cpql7elH0Q+C1gc1PtA1V1a3PsUuBCYDvwn6vq77oetKS+ZrKnrtjw5FN7PZnbeu97D/l97d4pSRog1wF/DtywR/kVVfWh9oIkJwLnAS8D5gFfSvLSqtrejUAlTQ0me5rSDqZ751hPF8HEUJLUH6rqa0kWjbP6WcCNVfUs8GiStcDJwD90KDxJU5DJnqaNsZ4uguP+JEl9711J3gqsAd5XVVuA+cBwW53RpmwvSVYCKwGGhoY6HKqkfuLSC5IkSf3rSuDFwFJgI3DQXVGqalVVLauqZXPmzJns+CT1MZM9SZKkPlVVT1TV9qraAXySVldNgPXAwraqC5oySdqlY8lekmuTbEpyX1vZB5OsTzLSvM5sO3ZpkrVJHkryhk7FJUmSNFUkmdu2+2Zg599VtwDnJTkyyWJgCXBXt+OT1N86OWbvOpxRatrZ1yQoLrMgSdL+Jfk0sAI4Nsko8IfAiiRLgQIeAy4CqKr7k9wEPABsAy727yZJe+pYsueMUtPTviZBmYxlFg7GWEsymHBKkvpZVZ0/RvE1+6l/GXBZ5yLSwXr3JX/A+ief2a1s/rFH8dHL/7hHEWm668VsnM4opY4ba0mGbieckiRpeln/5DPMOPnc3cvuWt2jaKTuT9DijFKSJEmS1AVdTfacUUpSP0gyK8ldSb6T5P4kf9SUL05yZzNZ1OokRzTlRzb7a5vji3oZvyRJ0nh0NdlzRilJfeJZ4NSq+iVaPQ1OT7Ic+FNak0i9BNgC7Bz4eSGwpSm/oqknSZLU1zq59MKnaU2wckKS0SQXAv8tyb1J7gFeB7wXWjNKATtnlPpbnFFKUgdVy0+b3ZnNq4BTgZub8uuBNzXbZzX7NMdPS5IuhStJkjQhnZyN0xmlJPWtJIcDdwMvAT4OfB94qqq2NVXaJ4qaD6wDqKptSZ4GfhF4sqtBS5KmnHvv+Q5nv+M9u5Xd9+B3WXryPk6QJlEvZuOUpJ5reg8sTTIb+Bzwrw71PZ0tWJK0p6112F4zdP7Td36/R9FoujHZkzStVdVTSe4AXgXMTjKjebrXPlHUzkmkRpPMAF4I/GiM91oFrAJYtmxZdSN+SZLGa6ynjK4DONhM9iRNO0nmAD9vEr3nAa+nNenKHcDZwI3ABcAXmlNuafb/oTn+5aoymZMkTSljPWV0HcDBZrInaTqaC1zfjNs7DLipqr6Y5AHgxiR/Anyb58YZXwP8VZK1wI+B83oRtCRJ0sEw2ZM07VTVPcArxih/hOfW/2wv3wr8ehdCkyRJmjRdXWdPkiRJktQdPtmTJEmSDtK7L/kD1j/5zG5lLqmgfmOyJ0mSDsn8hUNsGF03rrrzFixk/brHOxyR1Hnrn3zGJRXU90z2JEnSIdkwuo5zr/7muOquvujVHY5GkrSTY/YkSZIkaQCZ7EmSJEnSADLZkyRJkqQBZLInSZLUB5Jcm2RTkvvayv57ku8muSfJ55LMbsoXJfmnJCPN66reRS6pX5nsSZIk9YfrgNP3KLsNeHlV/T/A94BL2459v6qWNq93dilGSVOIyZ4kSVIfqKqvAT/eo+zvq2pbszsMLOh6YJKmLJM9SZKkqeE3gb9p21+c5NtJvprk3+zrpCQrk6xJsmbz5s2dj1JS3zDZkyRJ6nNJfg/YBnyqKdoIDFXVK4DfBv46yVFjnVtVq6pqWVUtmzNnTncCltQXOpbsOchYkiTp0CV5G/BG4DeqqgCq6tmq+lGzfTfwfeClPQtSUl/q5JO963CQsSRJ0oQlOR34L8CvVdXP2srnJDm82T4eWAI80psoJfWrjiV7DjKWJEkavySfBv4BOCHJaJILgT8HXgDctkfvp9cA9yQZAW4G3llVPx7zjSVNWzN6eO3fBFa37S9O8m3gGeD3q+p/j3VSkpXASoChoaGOBylJktQNVXX+GMXX7KPuZ4DPdDYiSVNdTyZocZCxpF5JsjDJHUkeSHJ/knc35R9Msr5t7PCZbedcmmRtkoeSvKF30UuSJI1f15/stQ0yPq19kDHwbLN9d5Kdg4zXdDs+Sf9/e3cfLVddHnr8+4T4yksBk3IhJBfEVEWqUWNQ5Foi6gW1or0UpK2iBcJqgRJKvSLtVUuX6+Za1FLbUsJLgYoQX6BSyqIgUq0iYEDgBBJelGDeJASJUC3awHP/2PvAnHPmnDPnZGb2npnvZ61ZZ+Y3e+b37Hl5zjx7//Zv971twOmZeUdE7AzcHhE3lPd9LjPPblw4IvYH3g+8CtgL+HpE/FpmPt3VqCVJkqaoq3v2PMhYUtUyc1Nm3lFefxJYDcyZ4CFHAFeUM989BDwILOp8pJIkSdunk6de8CBjSbUWEfsArwVuLZtOLk8Nc1FE7Fa2zQHWNTxsPeMUh564WJIk1UnHhnF6kLGkOouInSjyztLMfCIizgX+Asjy72coJpJqWWYuB5YDLFy4MNsbsSRJ0tRUORunJFUiIp5HUehdlplXAmTmIw33nw9cU97cAMxtePjeZZuk6Zgxk4ioOgpJGggWe5IGShS/Mi8EVmfmZxva98zMTeXN9wGryutXU8wQ/FmKCVrmA7d1MWSpvzyzjaPPu7nlxVeceFAHg5Gk/maxJ2nQvBn4ADBUHicMcCZwTEQsoBjGuRY4ESAz74mILwH3UszkeZIzcarfzZk7j43r102+oCSp1iz2JA2UzPw20GwM2bUTPOZTwKc6FpRUMxvXr3PvmyT1gUpOqi5JkiRJ6iyLPUmSJEnqQy0VexHx5lbaJKmbzE2S6sr8JKkOWt2z9/kW2ySpm8xNkurK/CSpchNO0BIRbwIOAmZHxB833LULsEMnA5Ok8ZibJNWV+UlSnUw2G+fzgZ3K5XZuaH8COLJTQUnSJMxNkurK/CSpNiYs9jLzm8A3I+LizHy4SzFJ0oTMTZLqyvwkqU5aPc/eCyJiObBP42My862dCEqSWmRuklRX5idJlWu12Psy8PfABcDTnQtHkqbE3CSprqacnyLiIuDdwObMPKBs2x1YQVE0rgWOyszHIyKAc4B3Aj8HPpSZd7R5HST1uFaLvW2ZeW5HI5GkqTM3Saqr6eSni4G/AS5taDsDuDEzl0XEGeXtjwKHA/PLy4HAueVfSXpWq6de+OeI+MOI2DMidh++dDQySZqcuUlSXU05P2Xmt4CfjGo+ArikvH4J8N6G9kuzcAuwa0Ts2c4VkNT7Wt2zd2z59yMNbQm8tL3hSNKUmJsk1VW78tMembmpvP5jYI/y+hxgXcNy68u2TUhSqaViLzP3nc6TO/ZcUidNNzdJUqd1Ij9lZkZETvVxEbEEWAIwb968doclqcZaKvYi4oPN2jPz0mbtDS7GseeSOmQ7cpMkdVQb89MjEbFnZm4qh2luLts3AHMbltu7bGvW53JgOcDChQunXCxK6l2tDuN8Q8P1FwKHAncwsogbIzO/FRH7jGo+AjikvH4J8G8Uxd6zY8+BWyJi1+Hk1mKMkgbPtHKTJHVBu/LT1RRDQpeVf7/W0H5yRFxBsXH8p/5mkjRaq8M4T2m8HRG7AldMs0/HnveBE045nY1bto5pv3fN/Ry4uIKANJDanJskqW2mk58i4nKKDeKzImI98AmKIu9LEXEc8DBwVLn4tRSHvjxIcfjLh9sZv6T+0OqevdF+Bmz3WPTpjD133Hk9bNyylZ0XHz+m/amh0yqIRnpWS7kpIuZSbF3fg2LChOWZeY7HFEvqoEnzU2YeM85dhzZZNoGT2hCXpD7W6jF7/0zxgwhgB+CVwJem2ed2jT133LmkYduRm7YBp2fmHRGxM3B7RNwAfAiPKZbUBm3+7SRJ09Lqnr2zG65vAx7OzPXT7NOx55LaZVq5qcwtm8rrT0bEaoph4x5TLKld2vnbSeqYobvv4sjjl45omzNrF85ZdlZFEamdWj1m75sRsQfPHWz8QCuPc+y5pE6abm5qVE4i9VrgVrbzmGKHmUsa1o78JHXDUzmDmYuOHtG24bYVFUWjdpvRykIRcRRwG/DbFMXZrRFx5GSPy8xjMnPPzHxeZu6dmRdm5mOZeWhmzs/Mt2XmT8plMzNPysz9MvPXM3Pl9qyYpP433dzU8PidgK8CSzPzicb7yr14UxoqnpnLM3NhZi6cPXv2VB4qqc9sb36SpHZodRjnnwJvyMzNABExG/g68JVOBSZJLZh2boqI51EUepdl5pVl83afz0qSSv52klS5lvbsATOGk1XpsSk8VpI6ZVq5qZxd80JgdWZ+tuGu4WOKYewxxR+MwhvxmGJJk/O3k6TKtbpn77qI+Ffg8vL20RTH2ElSlaabm94MfAAYiog7y7Yz8ZhiSe3jbydJlZuw2IuIl1FMWPCRiPgt4ODyru8Cl3U6OElqZntzU2Z+G4hx7vZ8VpKmzd9Okupksj17fwV8DKA8puVKgIj49fK+3+xodJLUnLlJUl2ZnyTVxmRjx/fIzKHRjWXbPh2JSJImZ26SVFfmJ0m1MVmxt+sE972onYFI0hSY3OtJ/AAAG+tJREFUmyTVlflJUm1MNoxzZUSckJnnNzZGxPHA7Z0LS5ImZG6SVFfmJ/W8obvv4sjjl45pnzNrF85ZdlYFEWm6Jiv2lgJXRcTv8lyCWgg8H3hfJwOTpAmYmyTVlflJPe+pnMHMRUePad9w24oKotH2mLDYy8xHgIMiYjFwQNn8L5n5jY5Hpo464ZTT2bhl64i2vWbtyvmf/0xFEUmtMzdJqivzk6Q6aek8e5l5E3BTh2NRF23cspWdFx8/su2mCyqKRpoec5OkujI/SaqDySZokSRJkiT1IIs9SZIkSepDFnuSJEmS1IdaOmZPkiRJ1YiIlwON0yC+FPg4xTn9TgAeLdvPzMxruxyepBqz2NPAW7VqiHcdc9yINmcmlSTVRWbeBywAiIgdgA3AVcCHgc9l5tkVhiepxiz2NPB+mTOcmVRS282ZO4+N69e1tOxee89lw7ofdTgi9YlDgR9k5sMRUXUskmqu68WeQxEkSYNg4/p1HH3ezS0tu+LEgzocjfrI+4HLG26fHBEfBFYCp2fm49WEJamOuj5BS2bel5kLMnMB8Hrg5xRDEaAYirCgvFjoSZIklSLi+cB7gC+XTecC+1EM8dwEND3+ICKWRMTKiFj56KOPNltEUp+qejbOZ4ciVByHJElS3R0O3JGZjwBk5iOZ+XRmPgOcDyxq9qDMXJ6ZCzNz4ezZs7sYrqSqVV3sNRuKcHdEXBQRuzV7gFunJG2vMsdsjohVDW2fjIgNEXFneXlnw30fi4gHI+K+iPif1UQtSRxDw++miNiz4b73AavGPELSQKtsgpaGoQgfK5vOBf4CyPLvZ4DfH/24zFwOLAdYuHBhdiVYSf3mYuBvgEtHtY+Z1S4i9qfYMPUqYC/g6xHxa5n5dDcClSSAiNgReDtwYkPzpyNiAcVvp7Wj7pPabujuuzjy+KUj2ubM2oVzlp1VUUSaTJWzcY4ZijB8R0ScD1xTVWD95IRTTmfjlq1j2u9dcz8HLq4gIKkGMvNbEbFPi4sfAVyRmb8AHoqIBymGSn23Q+FJ0hiZ+TPgJaPaPlBROBpQT+UMZi46ekTbhttWjLO06qDKYm/MUITM3FTedChCm2zcsnXMaQUAnho6rYJopNprNqvdHOCWhmXWl21jRMQSYAnAvHnzOhyqJEnSxCo5Zq9hKMKVDc2fjoihiLgbWAxYjUjqppZmtZuIkyBIkqQ6qWTPnkMRekuzoaAOA1W/mWAo+QZgbsOie5dtkiRJtVblME71iGZDQR0Gqn4zwVDyq4EvRsRnKSZomQ/cVkGIkiRJU2KxJ2ngRMTlwCHArIhYD3wCOKTZrHaZeU9EfAm4F9gGnORMnJIkqRdY7OlZq1YN8a5jjhvT7pBN9ZvMPKZJ84UTLP8p4FOdi0iSJKn9LPb0rF/mDGfulCRJkvpEJbNxSpIkSZI6y2JPkqSqzZhJRLR8mTPX8zhKkibnME5Jkqr2zDaOPu/mlhdfceJBHQxGktQv3LMnSZIkSX3IYk+SJEmS+pDFniRJkiT1IYs9SZIkSepDFnuSJEmS1Ics9iRJkiSpD3nqBUmSJEnTMnT3XRx5/NIRbXNm7cI5y86qKCI1stiTJEmSNC1P5QxmLjp6RNuG21ZUFI1Gs9iTJEmquYhYCzwJPA1sy8yFEbE7sALYB1gLHJWZj1cVo6T68Zg9SZKk3rA4Mxdk5sLy9hnAjZk5H7ixvC1Jz6qs2IuItRExFBF3RsTKsm33iLghIh4o/+5WVXySJEk1dwRwSXn9EuC9FcYiqYaqHsa5ODO3NNwe3kK1LCLOKG9/tJrQessJp5zOxi1bx7Tfu+Z+DlxcQUCSJKmdErg+IhI4LzOXA3tk5qby/h8DezR7YEQsAZYAzJs3rxuxSqqJqou90Y4ADimvXwL8GxZ7Ldm4ZSs7Lz5+TPtTQ6dVEI1UbxFxEfBuYHNmHlC2NT32JSICOAd4J/Bz4EOZeUcVcUsaaAdn5oaI+FXghohY03hnZmZZCI5RFobLARYuXNh0GUn9qcpj9oa3UN1ebnGCFrZQRcSSiFgZESsfffTRbsUqqb9cDBw2qm28Y18OB+aXlyXAuV2KUZKelZkbyr+bgauARcAjEbEnQPl3c3URSqqjKou9gzPzdRQ/pE6KiLc03pmZSVEQMqp9eWYuzMyFs2fP7lKokvpJZn4L+Mmo5vGOfTkCuDQLtwC7Dv+4Um+bM3ceEdHyZc5ch7+pGhGxY0TsPHwdeAewCrgaOLZc7Fjga9VEKKmuKhvG2biFKiJGbKHKzE1uoVKVVq0a4l3HHDemfa9Zu3L+5z9TQUTqgvFGFswB1jUst75s28QoHhfTWzauX8fR593c8vIrTjyog9FIE9oDuKoYVc5M4IuZeV1EfA/4UkQcBzwMHFVhjJJqqJJir9wqNSMzn2zYQnUWz22hWoZbqFShX+aMpsdAbrzpggqiUbdNdOzLJI/zuBhJbZeZPwRe06T9MeDQ7kckqVdUtWfPLVSS6ma8kQUbgLkNy+1dtkmSJNVaJcWeW6gk1dB4IwuuBk6OiCuAA4GfNgz3bIs5c+excf26yRcs7bX3XDas+1E7Q5AkSX2obqdekKSOi4jLKU7zMisi1gOfoCjymo0suJbitAsPUpx64cPtjsdjxySpvk494+Ns2PLEmPZVq9ewYFEFAUlTYLEnaeBk5jHj3DVmZEE5M/BJnY1IklRXG7Y8wcxFR49p/8+7/qyCaHrD0N13ceTxS0e0zZm1C+csO6uiiAaXxZ4kSZKktnkqZ4wpkDfctqKiaAabxZ4kSZKkjnJvXzUs9iRJkiR1lHv7qmGxJ02BJ1uX1IumOuOrJKk/WOxJU+DJ1lULM2ZSnqd0Up6mQeCMr5I0qCz2JKnXPLOt5R/u/mhvoykU2ZIk1YHFniSpL3R8qOIUimzocKFt4SlJaoHFniSpLwzUUMU6FZ6SpNqaUXUAkiRJkqT2c89eDzrhlNPZuGXriLZ719zPgYsrCkiSJElS7Vjs9aCNW7aOmRHyqaHTKopGkiRJUh1Z7Ekd0mwPLHhOPkmSJHWHxZ7UIc32wILn5JMkSVJ3WOxJbbBq1RDvOua4EW0eRylJkqQqWexJbfDLnOFxlJKkjoiIucClwB5AAssz85yI+CRwAvBoueiZmXltNVFKqqOun3ohIuZGxE0RcW9E3BMRp5btn4yIDRFxZ3l5Z7djkyRJqqFtwOmZuT/wRuCkiNi/vO9zmbmgvFjoSRqhij17wwnrjojYGbg9Im4o7/tcZp5dQUxS1zQb8umkLfUREWuBJ4GngW2ZuTAidgdWAPsAa4GjMvPxqmKUNFgycxOwqbz+ZESsBuZUG5WkXtD1Ys+EpUHXbMink7bUzuLM3NJw+wzgxsxcFhFnlLc/Wk1okgZZROwDvBa4FXgzcHJEfBBYSbExfcyGqIhYAiwBmDdvXtdilVS9rg/jbDQqYUGRsO6OiIsiYrdxHrMkIlZGxMpHH3202SKS1G5HAJeU1y8B3lthLJIGVETsBHwVWJqZTwDnAvsBCyg2pDcdIpKZyzNzYWYunD17dtfilVS9yoo9E5akmkrg+oi4vdwaDrBHOSoB4McUkySM4cYoSZ0SEc+j+N10WWZeCZCZj2Tm05n5DHA+sKjKGCXVTyXFnglLUo0dnJmvAw6nmAThLY13ZmZSFIRjuDFKUidERAAXAqsz87MN7Xs2LPY+YFW3Y5NUb10/Zm+ihNWw5dyEJakSmbmh/Ls5Iq6i2PD0yHCOKn9cba40SEmD5s3AB4ChiLizbDsTOCYiFlBsgFoLnFhNeJLqqorZOE1YkmopInYEZpSTR+0IvAM4C7gaOBZYVv79WnVRSho0mfltIJrc5akWJE2oitk4TViS6moP4KpiAAIzgS9m5nUR8T3gSxFxHPAwcFSFMUqayIyZlN/hluy191w2rPtRBwNSJ516xsfZsOWJEW1zZu3COcvOqigiqV6q2LMnSbWUmT8EXtOk/THg0O5HJGnKntnG0efd3PLiK048qIPBqNM2bHmCmYuOHtl224qKopHqx2JPkiRJfa3VPYDNllu1eg0LnDawI4buvosjj186os09s+1lsSfVwKpVQ7zrmOPGtO81a1fO/3zTs5BIA2HO3HlsXL+u6jAk9bhW9wA2W+4/7/qzjsY2yJ7KGe6Z7TCLPakGfpkz2Hnx8WPaN950QQXRSPWxcf26lofkORxPkqSRKjupuiRJkiSpcyz2JEmSJKkPWexJkiRJUh/ymL0aO+GU09m4ZeuY9nvX3M+BiysISF3nxC3abp5zTFKfaHWmzGYzPDqjpgaVxV5NNCvs7l1zPwf+wafHLPvU0GndCksVc+IWbTfPOSapT7Q6U2azGR6dUXNwtXrajX5lsTcF4+1pa8delo1bto75UW9RJ0mSJE1fq6fd6FcWe1PQrCAD97JIkiT1God7ahBY7Elqq2Z7wD3GsH9N9aTnHhMoqS4c7llPzYrwQRp22W4DX+x1cmim1CnNJm4Z7zPb7eKr2R5w9373r6mc9BxgxR+8ZUoTxkiSBkuzIrzdwy6bFZTQn0XlwBd74w3NvP7zp475Me0smKqLZhO3jFdQWXypVpwwRlILWp15U4Oh3Xv7mhWU0J/H8g18sTeeZj+mpzJhinsM1W3jnaah2UaKqZ7Sodnn+aEH72Pfl728pf4kSb2nylkMW515U4OhWXF23QVnOtyzBRZ7HeJkLuq28U7T0GwjxXjLNtujDc1PA/L40Gm8usX+JEm9Z9BnMVS9dWO4Zz+oXbEXEYcB5wA7ABdk5rKKQ5pUs70k7t1QL5pKwThoejE3SRoM5iepenU9n1+tir2I2AH4W+DtwHrgexFxdWbe247nH/fE5dtZlG3vkE9J9dbp3CRJ09Xt/DRIE1uo92zv6TSaPf6HD6zmpfNfOaKt2ee9rnvCa1XsAYuABzPzhwARcQVwBNCWhFWHE5dP5bgqSbXR0dxUKzNmOlum1Fu6mp/Gm9jC46dUB9t7Oo1mj3/srj/j1zpcxHVyr2Ddir05QOMJm9YDB1YUS0c4TE7qSX2fm57lbJlSr6lFfmr1+KlmP2qb7Tlx5k3V2fbsQRx3ptljPzGirV0FZWRmW56oHSLiSOCwzDy+vP0B4MDMPLlhmSXAkvLmy4H72tT9LGBLm57L/u2/F2OoU///PTNnVxjLCK3kprK9U/lpIlW/b+3m+tRfv63TVNanVrkJKv/t1Kq6fGbqEgcYy3iMZaxW4hg3N9Vtz94GYG7D7b3Ltmdl5nJgebs7joiVmbmw3c9r//bfKzEMev+TmDQ3Qefy00Rq/rpNmetTf/22Tn2wPpX9dmpVXV7jusQBxjIeY2l/HDPaGUwbfA+YHxH7RsTzgfcDV1cckySZmyTVlflJ0rhqtWcvM7dFxMnAv1JMH3xRZt5TcViSBpy5SVJdmZ8kTaRWxR5AZl4LXFtB15UNb7B/+y9VHcOg9z+hCnPTZGr9uk2D61N//bZOPb8+Nc5Pw+ryGtclDjCW8RjLWNsVR60maJEkSZIktUfdjtmTJEmSJLXBQBZ7EXFRRGyOiFUNbbtHxA0R8UD5d7cu9//JiNgQEXeWl3d2sP+5EXFTRNwbEfdExKlle1degwn678prEBEvjIjbIuKusv8/L9v3jYhbI+LBiFhRHujezf4vjoiHGtZ/QSf6b4hjh4j4fkRcU97uyvpP0H9X17/XVP297ZSqP4ftFhG7RsRXImJNRKyOiDf18nsUEaeVn7dVEXF5mb965j2ayv/7KPx1uV53R8Trqou8f4z+jlcYx9qIGCr/v6ysOJYxeaKiOF7e8D/3zoh4IiKWTv7IjsQyJtdUEUcZy6llHPd0+/WYSs5q1UAWe8DFwGGj2s4AbszM+cCN5e1u9g/wucxcUF46OfZ+G3B6Zu4PvBE4KSL2p3uvwXj9Q3deg18Ab83M1wALgMMi4o3A/yv7fxnwOHBcl/sH+EjD+t/Zof6HnQqsbrjdrfUfr3/o7vr3mqq/t51S9eew3c4BrsvMVwCvoVi3nnyPImIO8EfAwsw8gGLyj/fTW+/RxbT+//5wYH55WQKc26UY+12zXF+VxeX/l6qn02+WJ7ouM+8b/p8LvB74OXBVt+OYINd0XUQcAJwALKJ4b94dES/rYggX0+YaZSCLvcz8FvCTUc1HAJeU1y8B3tvl/rsmMzdl5h3l9ScpkswcuvQaTNB/V2ThP8qbzysvCbwV+ErZ3sn1H6//romIvYF3AReUt4MurX+z/jW5qr+3nVD157DdIuJXgLcAFwJk5i8zcys9/B5RTOT2ooiYCbwY2EQPvUdT/H9/BHBpmaNvAXaNiD27E2l/MtePNUGeqNqhwA8y8+GK+h+dazZWFMcrgVsz8+eZuQ34JvBb3eq8EzXKQBZ749gjMzeV138M7FFBDCeXQ0cu6tYwn4jYB3gtcCsVvAaj+ocuvQblsJI7gc3ADcAPgK3lFxtgPR0sQEf3n5nD6/+pcv0/FxEv6FT/wF8B/xt4prz9Erq4/k36H9at9e9pVX9v26jqz2G77Qs8CvxDOWztgojYkR59jzJzA3A28COKIu+nwO309nsE478fc4B1Dcv14rrVzXi5vgoJXB8Rt0fEkgrjGC9PVO39wOVVdNws12Tm9VXEAqwC/kdEvCQiXgy8E5hbUSzDtut/iMVeE1lMUdrtaUrPBfajGNa3CfhMpzuMiJ2ArwJLM/OJxvu68Ro06b9rr0FmPl0OW9ibYlf9KzrVVyv9l8MGPlbG8QZgd+Cjneg7It4NbM7M2zvx/NvRf1fWv9dV/b1tl6o/hx0yE3gdcG5mvhb4GaOG2/TYe7QbxRblfYG9gB1pfghCz+ql96PX1PA7fnBmvo5iuO5JEfGWiuKYNE90W3nc7XuAL1fU/5hcExG/V0UsmbmaYqj69cB1wJ3A01XE0sx0cpbF3nMeGR6uUf7d3M3OM/ORsgB4BjifogDpmIh4HsUPxssy88qyuWuvQbP+u/0alH1uBW4C3kQxZGf43JN7Axu62P9h5TC9zMxfAP9A59b/zcB7ImItcAXFkKxz6N76j+k/Ir7QxfXvWVV/b9us6s9hJ6wH1jfsqf8KxY+6Xn2P3gY8lJmPZuZ/AVdSvG+9/B7B+O/HBkZuwe/FdauTprm+qmDKvUdk5maK49Kq+h8zXp6o0uHAHZn5SEX9N8s1B1UUC5l5YWa+PjPfQnFc8v1VxVLarv8hFnvPuRo4trx+LPC1bnY+6riA91HsRu5UX0ExVnx1Zn624a6uvAbj9d+t1yAiZkfEruX1FwFvpzj+6SbgyHKxTq5/s/7XNHyRg2I8dkfWPzM/lpl7Z+Y+FMM2vpGZv0uX1n+c/n+vW+vfq6r+3rZb1Z/DTsjMHwPrIuLlZdOhwL306HtEMaTqjRHx4vLzN7w+PfselcZ7P64GPhiFN1IMJdvU7Ak0ufFyfRWxRMSOEbHz8HXgHVT0P2aCPFGlY6hoCGepWa6pbFKfiPjV8u88iuP1vlhVLKXt+x+SmQN3ofhAbwL+i2ILy3EUx4rcCDwAfB3Yvcv9/yMwBNxdvql7drD/gyl2Ad9NsXv6TooxyV15DSbovyuvAfBq4PtlP6uAj5ftLwVuAx6kGMrwgi73/41y/VcBXwB26tRnoCGWQ4Brurn+E/Tf9fXvpUvV39sufg66/jls87osAFaW79M/Abv18nsE/Dmwpvxe/iPwgl56j8b5f9v0/QAC+FuKY7iHKGYGrHwd+uHS+B2vqP+XAneVl3uAP6349RiTJyqMZUfgMeBXKn5NxuSaCmP5d4oC/C7g0C733fYaJconliRJkiT1EYdxSpIkSVIfstiTJEmSpD5ksSdJkiRJfchiT5IkSZL6kMWeJEmSJPUhiz21LCJ2jYg/rDqOyUTE0oh4cdVxSKqfiNgnItp+fq2IOCsi3tak/ZCIuKa8/p6IOKO8/t6I2L/dcUhSo4hYGxGzqo5D1bHY01TsClRe7JUnvJ3os7sUmFKxFxEzty8qSYMsMz+emV+fZJmrM3NZefO9gMWeJKmjLPY0FcuA/SLizoj4y4j4SER8LyLujog/h2e3mq+JiIsj4v6IuCwi3hYR34mIByJiUbncJyPiHyPiu2X7CcOdTPC890XEpRQn3JwbEedGxMqIuKdhuT8C9gJuioibyrb/aHjuIyPi4vL6xRHx9xFxK/DpiNgvIq6LiNsj4t8j4hVdeE0ldd8OEXF+mTuuj4gXRcS/RcRCgIiYFRFry+sfioh/iogbyi3kJ0fEH0fE9yPilojYvVzu4og4srx+WJkH7wB+a7jT8rn+JiIOAt4D/GWZT/crlx1ebn7jbUmaTMPvr8siYnVEfKVhlNMpEXFHRAz522bwWOxpKs4AfpCZC4AbgPnAImAB8PqIeEu53MuAzwCvKC+/AxwM/AlwZsPzvRp4K/Am4OMRsVdEvGOC550P/F1mviozHwb+NDMXls/zGxHx6sz8a2AjsDgzF7ewTnsDB2XmHwPLgVMy8/VlrH83xddHUm+YD/xtZr4K2Ar8r0mWP4CiaHsD8Cng55n5WuC7wAcbF4yIFwLnA78JvB74b6OfLDNvBq4GPpKZCzLzB8BPI2JBuciHgX+Y5rpJGlwvp/id9ErgCZ4bjbUlM18HnEvx+0YDxGJP0/WO8vJ94A6Kom5+ed9DmTmUmc8A9wA3ZmYCQ8A+Dc/xtcz8z8zcAtxEUeBN9LwPZ+YtDY8/qtz6/X3gVUxvSNSXM/PpiNgJOAj4ckTcCZwH7DmN55NUfw9l5p3l9dsZmZeauSkzn8zMR4GfAv9cto/OaVDkrIcy84Ey732hxZguAD4cETsARwNfbPFxkjRsXWZ+p7z+BYoN7QBXln9byXfqMx6npOkK4P9m5nkjGiP2AX7R0PRMw+1nGPmZy1HPmZM8788abu9LsXXqDZn5eDk084XjxNrYz+hlhp9zBrC13Gspqb815qingRcB23huA+joPNFqTtseXwU+AXwDuD0zH2vT80oaHM1+V8FzOetp/O0/cNyzp6l4Eti5vP6vwO+Xe8SIiDkR8atTfL4jIuKFEfES4BDge1N43l0oCrWfRsQewOHjxAnwSES8spzU5X3NAsnMJ4CHIuK3y34jIl4zxfWR1LvWUgy7BDhyO55nDbBPROxX3j5mnOVG5KnMfIoi/52LQzglTc+8iHhTef13gG9XGYzqwWJPLSu3NH8nimnL304xzOi7ETEEfIWRBVYr7qYYvnkL8BeZuTEzr2/leTPzLorhm2vK5b/TcPdy4LrhCVoojjW8BrgZ2DRBPL8LHBcRd1EMPz1iiusjqXedDfxBRHwfmPY05WXRtgT4l3KY+eZxFr0C+Eg50ctwYXgZxd7C66fbv6SBdh9wUkSsBnaj2HikARfFIQVSd0XEJ4H/yMyzq45FkuogIv4E+JXM/D9VxyKpt5SHu1yTmQdUHIpqxnG7kiRVLCKuAvajmKFYkqS2cM+eJEmSJPUhj9mTJEmSpD5ksSdJkiRJfchiT5IkSZL6kMWeJEmSJPUhiz1JkiRJ6kMWe5IkSZLUh/4/4Zl9ThVhdd4AAAAASUVORK5CYII=\n"},"metadata":{"needs_background":"light"}},{"output_type":"display_data","data":{"text/plain":["<Figure size 432x288 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":["all_columns = data.columns[:-1]\n","label_encoder = LabelEncoder()\n","X = data[all_columns]\n","y = label_encoder.fit_transform(data[\"label\"])\n","print(X.shape, y.shape)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"67PSg9p3owWy","executionInfo":{"status":"ok","timestamp":1651251395099,"user_tz":-330,"elapsed":2,"user":{"displayName":"Ram Mathala","userId":"02976641632359920741"}},"outputId":"3246c704-bc73-40ab-d196-75fd78e5e235"},"execution_count":6,"outputs":[{"output_type":"stream","name":"stdout","text":["(2200, 7) (2200,)\n"]}]},{"cell_type":"code","source":["label_dict = {}\n","for i in range(22):\n","    label_dict[i] = label_encoder.inverse_transform([i])[0]\n","label_dict"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"1BARX5s2o9WJ","executionInfo":{"status":"ok","timestamp":1651251398673,"user_tz":-330,"elapsed":852,"user":{"displayName":"Ram Mathala","userId":"02976641632359920741"}},"outputId":"baf69c3e-7010-4217-bb47-2a5b99994638"},"execution_count":7,"outputs":[{"output_type":"execute_result","data":{"text/plain":["{0: 'apple',\n"," 1: 'banana',\n"," 2: 'blackgram',\n"," 3: 'chickpea',\n"," 4: 'coconut',\n"," 5: 'coffee',\n"," 6: 'cotton',\n"," 7: 'grapes',\n"," 8: 'jute',\n"," 9: 'kidneybeans',\n"," 10: 'lentil',\n"," 11: 'maize',\n"," 12: 'mango',\n"," 13: 'mothbeans',\n"," 14: 'mungbean',\n"," 15: 'muskmelon',\n"," 16: 'orange',\n"," 17: 'papaya',\n"," 18: 'pigeonpeas',\n"," 19: 'pomegranate',\n"," 20: 'rice',\n"," 21: 'watermelon'}"]},"metadata":{},"execution_count":7}]},{"cell_type":"code","source":["X_train, X_test, y_train, y_test = train_test_split(X.values, y, test_size = 0.2, random_state = 0)\n","print(f\"Train Data: {X_train.shape}, {y_train.shape}\")\n","print(f\"Test Data: {X_test.shape}, {y_test.shape}\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"iuy9sPNVpa9v","executionInfo":{"status":"ok","timestamp":1651251404538,"user_tz":-330,"elapsed":776,"user":{"displayName":"Ram Mathala","userId":"02976641632359920741"}},"outputId":"23a9d3cb-ef1c-4efe-d690-9f91fb8a6bcb"},"execution_count":8,"outputs":[{"output_type":"stream","name":"stdout","text":["Train Data: (1760, 7), (1760,)\n","Test Data: (440, 7), (440,)\n"]}]},{"cell_type":"code","source":["from sklearn.preprocessing import StandardScaler    \n","sc= StandardScaler()    \n","X_train= sc.fit_transform(X_train)    \n","X_test= sc.transform(X_test)  "],"metadata":{"id":"JF5l8SINrqCH","executionInfo":{"status":"ok","timestamp":1651251406898,"user_tz":-330,"elapsed":2,"user":{"displayName":"Ram Mathala","userId":"02976641632359920741"}}},"execution_count":9,"outputs":[]},{"cell_type":"markdown","source":["KNN"],"metadata":{"id":"xPDQC0f4ppLP"}},{"cell_type":"code","source":["error_rate = []\n","for i in range(1, 50):\n","    knn = KNeighborsClassifier(n_neighbors=i )\n","    knn.fit(X_train, y_train)\n","    predictions = knn.predict(X_test)\n","    accuracy = accuracy_score(y_test, predictions)\n","    print(f\"Accuracy at k = {i} is {accuracy}\")\n","    error_rate.append(np.mean(predictions != y_test))\n","\n","plt.figure(figsize=(10,6))\n","plt.plot(range(1,50),error_rate,color='blue', linestyle='dashed', \n","         marker='o',markerfacecolor='red', markersize=10)\n","plt.title('Error Rate vs. K Value')\n","plt.xlabel('K')\n","plt.ylabel('Error Rate')\n","print(\"Minimum error:-\",min(error_rate),\"at K =\",error_rate.index(min(error_rate))+1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"rSAy39yFpijt","executionInfo":{"status":"ok","timestamp":1651228711737,"user_tz":-330,"elapsed":1324,"user":{"displayName":"Ram Mathala","userId":"02976641632359920741"}},"outputId":"499ab553-2bf6-4653-bf1d-0ccca30fc897"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Accuracy at k = 1 is 0.975\n","Accuracy at k = 2 is 0.9681818181818181\n","Accuracy at k = 3 is 0.975\n","Accuracy at k = 4 is 0.9795454545454545\n","Accuracy at k = 5 is 0.9772727272727273\n","Accuracy at k = 6 is 0.9681818181818181\n","Accuracy at k = 7 is 0.9704545454545455\n","Accuracy at k = 8 is 0.9704545454545455\n","Accuracy at k = 9 is 0.9659090909090909\n","Accuracy at k = 10 is 0.9613636363636363\n","Accuracy at k = 11 is 0.9590909090909091\n","Accuracy at k = 12 is 0.9568181818181818\n","Accuracy at k = 13 is 0.9590909090909091\n","Accuracy at k = 14 is 0.9590909090909091\n","Accuracy at k = 15 is 0.9568181818181818\n","Accuracy at k = 16 is 0.9545454545454546\n","Accuracy at k = 17 is 0.9545454545454546\n","Accuracy at k = 18 is 0.95\n","Accuracy at k = 19 is 0.9522727272727273\n","Accuracy at k = 20 is 0.9477272727272728\n","Accuracy at k = 21 is 0.9431818181818182\n","Accuracy at k = 22 is 0.9409090909090909\n","Accuracy at k = 23 is 0.9363636363636364\n","Accuracy at k = 24 is 0.9409090909090909\n","Accuracy at k = 25 is 0.9318181818181818\n","Accuracy at k = 26 is 0.9295454545454546\n","Accuracy at k = 27 is 0.9340909090909091\n","Accuracy at k = 28 is 0.9295454545454546\n","Accuracy at k = 29 is 0.925\n","Accuracy at k = 30 is 0.9227272727272727\n","Accuracy at k = 31 is 0.9227272727272727\n","Accuracy at k = 32 is 0.9159090909090909\n","Accuracy at k = 33 is 0.9227272727272727\n","Accuracy at k = 34 is 0.9181818181818182\n","Accuracy at k = 35 is 0.9204545454545454\n","Accuracy at k = 36 is 0.9159090909090909\n","Accuracy at k = 37 is 0.9159090909090909\n","Accuracy at k = 38 is 0.9136363636363637\n","Accuracy at k = 39 is 0.9136363636363637\n","Accuracy at k = 40 is 0.9022727272727272\n","Accuracy at k = 41 is 0.9022727272727272\n","Accuracy at k = 42 is 0.8931818181818182\n","Accuracy at k = 43 is 0.8863636363636364\n","Accuracy at k = 44 is 0.8818181818181818\n","Accuracy at k = 45 is 0.8863636363636364\n","Accuracy at k = 46 is 0.884090909090909\n","Accuracy at k = 47 is 0.884090909090909\n","Accuracy at k = 48 is 0.884090909090909\n","Accuracy at k = 49 is 0.884090909090909\n","Minimum error:- 0.020454545454545454 at K = 4\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 720x432 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":["acc1 = []\n","model = []"],"metadata":{"id":"5a7p2Od2gjkh","executionInfo":{"status":"ok","timestamp":1651251413912,"user_tz":-330,"elapsed":578,"user":{"displayName":"Ram Mathala","userId":"02976641632359920741"}}},"execution_count":10,"outputs":[]},{"cell_type":"code","source":["# Optimal K value is 4\n","knn=  KNeighborsClassifier(n_neighbors = 4)\n","knn.fit(X_train, y_train)\n","\n","# Test Data Metrics\n","predictions = knn.predict(X_test)\n","accuracy = accuracy_score(y_test, predictions)\n","acc1.append(accuracy)\n","model.append('KNN')\n","print(f\"Accuracy on Test Data: {accuracy*100}%\")\n","predictions"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Kr5xdJLpp2nE","executionInfo":{"status":"ok","timestamp":1651251450498,"user_tz":-330,"elapsed":988,"user":{"displayName":"Ram Mathala","userId":"02976641632359920741"}},"outputId":"3aa04266-2a98-475e-bd91-d6ba4a368e10"},"execution_count":14,"outputs":[{"output_type":"stream","name":"stdout","text":["Accuracy on Test Data: 97.95454545454545%\n"]},{"output_type":"execute_result","data":{"text/plain":["array([21, 21,  7,  3,  2,  8, 13,  9, 15,  1, 13,  5, 10, 14, 12,  0,  5,\n","       10,  5, 12,  4,  2,  9,  8,  6,  5, 10, 16, 13,  9, 19, 20, 11, 15,\n","        4,  6, 12, 12, 21, 13, 11,  2, 12, 21, 18, 14,  9,  9,  6, 14, 13,\n","        2,  0, 15, 18,  1, 17, 12, 10,  6, 16, 14, 21, 20, 15,  0,  7,  5,\n","        0, 16,  4, 19,  9, 11,  7, 13,  3, 11,  8, 12,  8,  2, 21, 21, 15,\n","        6, 11, 10, 13, 17,  2,  8, 14,  7, 14, 11,  5,  8, 10,  3, 16,  8,\n","       14,  1,  1, 20, 21,  5, 18, 15, 15, 12,  5,  7, 16, 19, 14,  2, 11,\n","        8, 19, 10, 19,  3,  3,  2, 19, 16,  3, 17, 13, 13, 15, 14, 11, 14,\n","        4, 19, 16,  2,  2,  7,  0,  5,  3,  0,  8, 12, 21, 17, 16,  4, 13,\n","        1, 19,  3, 21,  2,  0,  8, 10, 18,  8,  9,  9, 15, 20, 15,  1, 16,\n","       18,  0, 13,  4,  6, 14,  9, 19, 17, 16, 20, 17, 17,  9,  9,  1,  4,\n","       18, 20, 17, 11,  8, 13, 20, 11,  5, 18,  4,  3, 12,  4, 19, 11, 13,\n","       13, 16, 15, 11, 18,  1,  3,  2, 18, 16, 13, 14, 12, 17, 15, 19,  8,\n","       20,  2, 17,  2,  5, 11,  5, 16,  8, 13, 14, 16,  9, 19,  4, 12, 14,\n","        6, 20,  3, 14,  0, 18,  2, 20, 21,  2, 19, 16, 11,  7,  3, 18,  8,\n","       17, 19,  5, 12, 13,  8, 21, 19, 20,  7,  4,  8, 10,  3,  5,  5, 17,\n","       19, 11, 20,  3, 18, 16, 19, 18,  4,  9, 19, 15, 13, 12, 10,  1,  2,\n","       12,  9, 12,  6, 14, 17,  7,  7, 18, 17,  8, 20,  3, 15,  5, 21, 20,\n","        8, 17,  7, 15,  2, 13, 13,  3,  2, 12,  1, 12, 19,  8, 16, 15,  3,\n","       10,  6, 17,  7,  9, 10,  0, 20, 15,  0, 17,  2,  8,  3, 13, 10,  7,\n","        8,  9, 15, 17,  7, 17, 20,  5, 15, 13,  1, 17, 16,  9, 21, 18,  0,\n","       21, 21, 18,  9, 13,  9,  8,  4,  6,  9, 16,  6, 18, 19,  6,  6,  0,\n","        6,  0, 16, 11,  7,  1,  0, 10, 20,  9,  1, 20, 10,  3, 19,  1,  3,\n","       15, 19,  0, 10, 15, 16,  2, 15, 13, 12,  3, 19, 12,  3,  4, 15,  1,\n","       18, 17,  8, 10,  6, 20,  1,  4, 20,  2, 11, 16, 21, 20,  0,  7, 18,\n","        7,  3, 12,  8, 19, 11, 12,  7,  1, 14, 18,  1,  6,  2,  0])"]},"metadata":{},"execution_count":14}]},{"cell_type":"markdown","source":["RF"],"metadata":{"id":"f3Erarf6qAZS"}},{"cell_type":"code","source":["rf = RandomForestClassifier(random_state = 20)\n","rf.fit(X_train, y_train)\n","\n","# Accuray On Test Data\n","predictions = rf.predict(X_test)\n","accuracy = accuracy_score(y_test, predictions)\n","acc1.append(accuracy)\n","model.append('Random forest')\n","print(f\"Accuracy on Test Data: {accuracy*100}%\")\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"wdnua-G0p8oF","executionInfo":{"status":"ok","timestamp":1651251421232,"user_tz":-330,"elapsed":858,"user":{"displayName":"Ram Mathala","userId":"02976641632359920741"}},"outputId":"5bff6eba-b033-446c-993e-b5c0e2453b77"},"execution_count":12,"outputs":[{"output_type":"stream","name":"stdout","text":["Accuracy on Test Data: 99.77272727272727%\n"]}]},{"cell_type":"markdown","source":["XGB"],"metadata":{"id":"ivmctggOqHys"}},{"cell_type":"code","source":["xgb =  XGBClassifier(random_state = 15)\n","xgb.fit(X_train, y_train)\n","\n","# Accuray On Test Data\n","predictions = xgb.predict(X_test)\n","accuracy = accuracy_score(y_test, predictions)\n","acc1.append(accuracy)\n","model.append('XGboost')\n","print(f\"Accuracy on Test Data: {accuracy*100}%\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"s69DAYg7qG7z","executionInfo":{"status":"ok","timestamp":1651251425343,"user_tz":-330,"elapsed":1527,"user":{"displayName":"Ram Mathala","userId":"02976641632359920741"}},"outputId":"8c95e913-27f9-4c9e-90bb-9ee58b87d8f1"},"execution_count":13,"outputs":[{"output_type":"stream","name":"stdout","text":["Accuracy on Test Data: 99.54545454545455%\n"]}]},{"cell_type":"code","source":["acc1"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"blnTiuxcKMpv","executionInfo":{"status":"ok","timestamp":1651228714228,"user_tz":-330,"elapsed":10,"user":{"displayName":"Ram Mathala","userId":"02976641632359920741"}},"outputId":"b3cdfefc-bea4-4d88-bb52-f6740c766550"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["[0.9795454545454545, 0.9977272727272727, 0.9954545454545455]"]},"metadata":{},"execution_count":18}]},{"cell_type":"code","source":["model"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"6HNvp7dEKQS4","executionInfo":{"status":"ok","timestamp":1651228714229,"user_tz":-330,"elapsed":10,"user":{"displayName":"Ram Mathala","userId":"02976641632359920741"}},"outputId":"76a48939-255e-4dd4-c160-760aabdc970d"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["['KNN', 'Random forest', 'XGboost']"]},"metadata":{},"execution_count":19}]},{"cell_type":"code","source":["pickle.dump(knn, open(\"knn_pipeline.pkl\", \"wb\"))\n","pickle.dump(rf, open(\"rf_pipeline.pkl\", \"wb\"))\n","pickle.dump(xgb, open(\"xgb_pipeline.pkl\", \"wb\"))\n","pickle.dump(label_dict, open(\"label_dictionary.pkl\", \"wb\"))\n","print(\"Saved All Models\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"xB9V90EYqbft","executionInfo":{"status":"ok","timestamp":1651228714229,"user_tz":-330,"elapsed":9,"user":{"displayName":"Ram Mathala","userId":"02976641632359920741"}},"outputId":"702984ab-c8aa-48e1-d96b-b82a0f6c42c4"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Saved All Models\n"]}]},{"cell_type":"code","source":["plt.figure(figsize=[10,4],dpi = 100)\n","plt.title('Accuracy Comparison')\n","plt.xlabel('Accuracy')\n","plt.ylabel('Algorithm')\n","sns.barplot(x = acc1,y = model,palette='dark')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":422},"id":"gLsLSDuahJlA","executionInfo":{"status":"ok","timestamp":1651228714229,"user_tz":-330,"elapsed":8,"user":{"displayName":"Ram Mathala","userId":"02976641632359920741"}},"outputId":"5a28186c-9676-42d4-fb2e-75aeb10828b9"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7f10d6ba3050>"]},"metadata":{},"execution_count":21},{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x400 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}]}]}