4-Oversampling- ADASYN.ipynb

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BILL_AMT3  BILL_AMT4  BILL_AMT5  BILL_AMT6  PAY_AMT1  \\\n","0         -2  ...      689.0        0.0        0.0        0.0       0.0   \n","1          0  ...     2682.0     3272.0     3455.0     3261.0       0.0   \n","2          0  ...    13559.0    14331.0    14948.0    15549.0    1518.0   \n","3          0  ...    49291.0    28314.0    28959.0    29547.0    2000.0   \n","4          0  ...    35835.0    20940.0    19146.0    19131.0    2000.0   \n","...      ...  ...        ...        ...        ...        ...       ...   \n","29960      0  ...   208365.0    88004.0    31237.0    15980.0    8500.0   \n","29961      0  ...     3502.0     8979.0     5190.0        0.0    1837.0   \n","29962      0  ...     2758.0    20878.0    20582.0    19357.0       0.0   \n","29963      0  ...    76304.0    52774.0    11855.0    48944.0   85900.0   \n","29964      0  ...    49764.0    36535.0    32428.0    15313.0    2078.0   \n","\n","       PAY_AMT2  PAY_AMT3  PAY_AMT4  PAY_AMT5  PAY_AMT6  \n","0   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int64"]},"metadata":{},"execution_count":6}]},{"cell_type":"code","source":["crdcd_fd['default.payment.next.month'].value_counts()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Griy5m-juW7e","executionInfo":{"status":"ok","timestamp":1693999143816,"user_tz":-330,"elapsed":21,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"ca55da4f-2fbc-4e74-ef40-77c1f05c1a66"},"execution_count":7,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0    23335\n","1     6630\n","Name: default.payment.next.month, dtype: int64"]},"metadata":{},"execution_count":7}]},{"cell_type":"markdown","source":["### ADASYN sampling"],"metadata":{"id":"U-vcJMh1_b59"}},{"cell_type":"code","source":["from imblearn.over_sampling import ADASYN as crdcd_fdadyy\n","from collections import Counter as crdcd_fdctr\n","print('Original crdcd_fd datashape %s' % crdcd_fdctr(crdcd_fd_o_Y))\n","crd_mdl = crdcd_fdadyy()\n","crdcd_fd_i_X, crdcd_fd_o_Y = crd_mdl.fit_resample(crdcd_fd_i_X, crdcd_fd_o_Y)\n","print('after sampling crdcd_fd datashape %s' % crdcd_fdctr(crdcd_fd_o_Y))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"B99jfwwS_cBi","executionInfo":{"status":"ok","timestamp":1693999149441,"user_tz":-330,"elapsed":5642,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"10a46146-f320-4b0c-bdc1-5ff85f7dc37d"},"execution_count":8,"outputs":[{"output_type":"stream","name":"stdout","text":["Original crdcd_fd datashape Counter({0: 23335, 1: 6630})\n","after sampling crdcd_fd datashape Counter({1: 23915, 0: 23335})\n"]}]},{"cell_type":"code","source":["from sklearn.model_selection import train_test_split as crdcd_fdtrrn\n","from sklearn.metrics import classification_report as crdcd_fdclfrt\n","from sklearn.metrics import confusion_matrix as crdcd_fdcfssm\n","from sklearn.metrics import ConfusionMatrixDisplay as crdcd_fdcfxdp\n","from sklearn.model_selection import GridSearchCV as crdcd_fdgshc\n","import warnings as crdcd_fdwin\n","crdcd_fdwin.filterwarnings(\"ignore\")\n","import time as crdcd_fdttee"],"metadata":{"id":"3qXm4ocouqHU","executionInfo":{"status":"ok","timestamp":1693999149442,"user_tz":-330,"elapsed":36,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}}},"execution_count":9,"outputs":[]},{"cell_type":"code","source":["# train==60%\n","crdcd_fd_i_Xnt, crdcd_fd_i_Xst, crdcd_fd_o_Ynt, crdcd_fd_o_Yst = crdcd_fdtrrn(crdcd_fd_i_X, crdcd_fd_o_Y, test_size=0.4, random_state=33)"],"metadata":{"id":"t6JPdLy3vijF","executionInfo":{"status":"ok","timestamp":1693999149443,"user_tz":-330,"elapsed":34,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}}},"execution_count":10,"outputs":[]},{"cell_type":"code","source":["# validation==20% & test==20%\n","crdcd_fd_i_Xdv, crdcd_fd_i_Xst, crdcd_fd_o_Ydv, crdcd_fd_o_Yst = crdcd_fdtrrn(crdcd_fd_i_Xst, crdcd_fd_o_Yst, test_size=0.5, random_state=33)"],"metadata":{"id":"7__eWRsuvi5q","executionInfo":{"status":"ok","timestamp":1693999149444,"user_tz":-330,"elapsed":33,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}}},"execution_count":11,"outputs":[]},{"cell_type":"code","source":["print(\"credit card train   : \", crdcd_fd_i_Xnt.shape[0])\n","print(\"credit card validation: \", crdcd_fd_i_Xdv.shape[0])\n","print(\"credit card test : \", crdcd_fd_i_Xst.shape[0])"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"7O02iTp_vtzA","executionInfo":{"status":"ok","timestamp":1693999149445,"user_tz":-330,"elapsed":33,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"6f6dafa0-2286-4f4c-cda0-083692760b21"},"execution_count":12,"outputs":[{"output_type":"stream","name":"stdout","text":["credit card train   :  28350\n","credit card validation:  9450\n","credit card test :  9450\n"]}]},{"cell_type":"code","source":["crdcd_fd_i_Xnt"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"id":"pOcF7A5FwvAx","executionInfo":{"status":"ok","timestamp":1693999149446,"user_tz":-330,"elapsed":29,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"425ee464-a93d-47f3-8748-2943015196e0"},"execution_count":13,"outputs":[{"output_type":"execute_result","data":{"text/plain":["       LIMIT_BAL  SEX  EDUCATION  MARRIAGE  AGE  PAY_0  PAY_2  PAY_3  PAY_4  \\\n","26810   170000.0    1          1         1   40      0      0      0      0   \n","20278   260000.0    2          3         1   52      1      2      0      0   \n","18118   240000.0    1          1         1   37     -2     -2     -2     -2   \n","43596    80000.0    1          2         2   48      1      0      0      1   \n","20349    50000.0    1          2         2   23      2      0      0      0   \n","...          ...  ...        ...       ...  ...    ...    ...    ...    ...   \n","27282    20000.0    1          2         1   37      0      0      0      0   \n","578      50000.0    1          2         2   36      0      0      0      0   \n","38616    20000.0    1          1         1   30      0      0      0      0   \n","2439    160000.0    2          1         2   40     -1      0      0     -2   \n","23572    80000.0    2          1         1   39      1      2      2      2   \n","\n","       PAY_5  ...      BILL_AMT3      BILL_AMT4     BILL_AMT5     BILL_AMT6  \\\n","26810      2  ...  109136.000000  106882.000000  99917.000000  97133.000000   \n","20278      0  ...   18488.000000   27022.000000  28402.000000    800.000000   \n","18118     -2  ...  154353.000000    9617.000000  11360.000000   3842.000000   \n","43596      0  ...   36428.342785   36381.790698  37357.937495  38632.756722   \n","20349      0  ...   50036.000000   60770.000000  10598.000000  10122.000000   \n","...      ...  ...            ...            ...           ...           ...   \n","27282      0  ...    7266.000000   11282.000000   3303.000000   2350.000000   \n","578        0  ...    6615.000000    7131.000000   6987.000000   6980.000000   \n","38616      0  ...    7605.633934    6598.331297   2548.054187     62.548271   \n","2439      -2  ...   73233.000000   72328.000000  74234.000000  75500.000000   \n","23572      0  ...   23017.000000   22349.000000  22791.000000  23331.000000   \n","\n","          PAY_AMT1       PAY_AMT2      PAY_AMT3      PAY_AMT4     PAY_AMT5  \\\n","26810  6043.000000    4037.000000  10019.000000      9.000000  3480.000000   \n","20278     0.000000   10000.000000  11264.000000   1580.000000     2.000000   \n","18118  7644.000000  155142.000000   9661.000000  11489.000000  3870.000000   \n","43596  1006.094925    3800.380392    705.714533   1735.238178  1970.476355   \n","20349  2500.000000    2142.000000   2254.000000    680.000000   491.000000   \n","...            ...            ...           ...           ...          ...   \n","27282  1102.000000    2100.000000   1000.000000    132.000000    47.000000   \n","578    1300.000000    1100.000000   1000.000000    500.000000   500.000000   \n","38616  1119.704449    1107.841846   1140.394068   1111.769355   836.676765   \n","2439   3509.000000    5824.000000      0.000000   2204.000000  2000.000000   \n","23572  1700.000000    1280.000000      0.000000    814.000000   905.000000   \n","\n","           PAY_AMT6  \n","26810   4635.000000  \n","20278   1098.000000  \n","18118   3539.000000  \n","43596   1788.190542  \n","20349    340.000000  \n","...             ...  \n","27282      0.000000  \n","578     1000.000000  \n","38616    434.602639  \n","2439       0.000000  \n","23572  30331.000000  \n","\n","[28350 rows x 23 columns]"],"text/html":["\n","  <div id=\"df-18c5e8c9-c4d7-40ce-90bb-5bc2578d1464\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\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>LIMIT_BAL</th>\n","      <th>SEX</th>\n","      <th>EDUCATION</th>\n","      <th>MARRIAGE</th>\n","      <th>AGE</th>\n","      <th>PAY_0</th>\n","      <th>PAY_2</th>\n","      <th>PAY_3</th>\n","      <th>PAY_4</th>\n","      <th>PAY_5</th>\n","      <th>...</th>\n","      <th>BILL_AMT3</th>\n","      <th>BILL_AMT4</th>\n","      <th>BILL_AMT5</th>\n","      <th>BILL_AMT6</th>\n","      <th>PAY_AMT1</th>\n","      <th>PAY_AMT2</th>\n","      <th>PAY_AMT3</th>\n","      <th>PAY_AMT4</th>\n","      <th>PAY_AMT5</th>\n","      <th>PAY_AMT6</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>26810</th>\n","      <td>170000.0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>40</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2</td>\n","      <td>...</td>\n","      <td>109136.000000</td>\n","      <td>106882.000000</td>\n","      <td>99917.000000</td>\n","      <td>97133.000000</td>\n","      <td>6043.000000</td>\n","      <td>4037.000000</td>\n","      <td>10019.000000</td>\n","      <td>9.000000</td>\n","      <td>3480.000000</td>\n","      <td>4635.000000</td>\n","    </tr>\n","    <tr>\n","      <th>20278</th>\n","      <td>260000.0</td>\n","      <td>2</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>52</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>18488.000000</td>\n","      <td>27022.000000</td>\n","      <td>28402.000000</td>\n","      <td>800.000000</td>\n","      <td>0.000000</td>\n","      <td>10000.000000</td>\n","      <td>11264.000000</td>\n","      <td>1580.000000</td>\n","      <td>2.000000</td>\n","      <td>1098.000000</td>\n","    </tr>\n","    <tr>\n","      <th>18118</th>\n","      <td>240000.0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>37</td>\n","      <td>-2</td>\n","      <td>-2</td>\n","      <td>-2</td>\n","      <td>-2</td>\n","      <td>-2</td>\n","      <td>...</td>\n","      <td>154353.000000</td>\n","      <td>9617.000000</td>\n","      <td>11360.000000</td>\n","      <td>3842.000000</td>\n","      <td>7644.000000</td>\n","      <td>155142.000000</td>\n","      <td>9661.000000</td>\n","      <td>11489.000000</td>\n","      <td>3870.000000</td>\n","      <td>3539.000000</td>\n","    </tr>\n","    <tr>\n","      <th>43596</th>\n","      <td>80000.0</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>48</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>36428.342785</td>\n","      <td>36381.790698</td>\n","      <td>37357.937495</td>\n","      <td>38632.756722</td>\n","      <td>1006.094925</td>\n","      <td>3800.380392</td>\n","      <td>705.714533</td>\n","      <td>1735.238178</td>\n","      <td>1970.476355</td>\n","      <td>1788.190542</td>\n","    </tr>\n","    <tr>\n","      <th>20349</th>\n","      <td>50000.0</td>\n","      <td>1</td>\n","      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crd_par_bs.best_score_)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"SxrAZnggxGuT","executionInfo":{"status":"ok","timestamp":1693156844075,"user_tz":-330,"elapsed":1633,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"32d56089-7642-4446-9534-89910d5182fc"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Fitting 2 folds for each of 90 candidates, totalling 180 fits\n","{'criterion': 'entropy', 'max_features': 'auto', 'min_samples_leaf': 5, 'splitter': 'best'}\n","credit card-score:  0.662\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_MA= crdcd_fddssn(criterion= 'entropy', max_features= 'auto', min_samples_leaf=5 ,splitter='best' )\n","crdcd_fd_MA.fit(crdcd_fd_i_Xnt, crdcd_fd_o_Ynt)\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","print(\"Duration for Training:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"jgOwKjWzzmrY","executionInfo":{"status":"ok","timestamp":1693156902299,"user_tz":-330,"elapsed":542,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"8a4ad588-5fdc-4516-941f-be45bd25e0dd"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Duration for Training: 0.2935957908630371\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_MA.predict(crdcd_fd_i_Xdv)\n","print(crdcd_fdclfrt(crdcd_fd_o_Ydv, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Ydv, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for validation:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"STzwfczcqfYx","executionInfo":{"status":"ok","timestamp":1693156908290,"user_tz":-330,"elapsed":910,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"cc8f04a2-48e8-47d1-fd86-33e0a7d36770"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.72      0.74      0.73      4685\n","           1       0.74      0.72      0.73      4765\n","\n","    accuracy                           0.73      9450\n","   macro avg       0.73      0.73      0.73      9450\n","weighted avg       0.73      0.73      0.73      9450\n","\n","Duration for validation: 0.18707704544067383\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAAgMAAAGwCAYAAAA0bWYRAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAA7RUlEQVR4nO3de5yN9fr/8feaMWsOzMFgZgxjHCaH2Tml0ux2omRIxa52W6mGaH9pVCjhV+RQaVOJEpUy7E3RgR2KpJwyHUymg5iiEWJQY47Maa3798c0q1aszLLmZN2v5+NxP7Lu+3Pf61o1mWtd1+dz3xbDMAwBAADT8qntAAAAQO0iGQAAwORIBgAAMDmSAQAATI5kAAAAkyMZAADA5EgGAAAwuXq1HYAn7Ha7Dh8+rODgYFksltoOBwDgJsMwlJ+fr+joaPn4VN/306KiIpWUlHh8HavVqoCAgCqIqG45r5OBw4cPKyYmprbDAAB46ODBg2revHm1XLuoqEitYhso65jN42tFRUUpMzPT6xKC8zoZCA4OliT9+EVLhTSg4wHv9Pe2HWs7BKDalKlU2/Su4+/z6lBSUqKsYzb9mNZSIcHn/rsiL9+u2G77VVJSQjJQl1S0BkIa+Hj0Hxioy+pZ/Go7BKD6/HpD/Jpo9TYItqhB8Lm/j13e244+r5MBAAAqy2bYZfPgaTw2w151wdQxJAMAAFOwy5Bd554NeHJuXUdtHQAAk6MyAAAwBbvs8qTQ79nZdRvJAADAFGyGIZtx7qV+T86t62gTAABgclQGAACmwARC10gGAACmYJchG8nAGdEmAADA5KgMAABMgTaBayQDAABTYDWBa7QJAAAwOSoDAABTsP+6eXK+tyIZAACYgs3D1QSenFvXkQwAAEzBZsjDpxZWXSx1DXMGAAAwOSoDAABTYM6AayQDAABTsMsimywene+taBMAAGByVAYAAKZgN8o3T873ViQDAABTsHnYJvDk3LqONgEAACZHZQAAYApUBlwjGQAAmILdsMhueLCawINz6zraBAAAmByVAQCAKdAmcI1kAABgCjb5yOZBQdxWhbHUNSQDAABTMDycM2AwZwAAAHgrKgMAAFNgzoBrJAMAAFOwGT6yGR7MGfDi2xHTJgAAwOSoDAAATMEui+wefAe2y3tLAyQDAABTYM6Aa7QJAAAwOSoDAABT8HwCIW0CAADOa+VzBjx4UBFtAgAA4K2oDAAATMHu4bMJWE0AAMB5jjkDrpEMAABMwS4f7jPgAnMGAAAwOSoDAABTsBkW2Tx4DLEn59Z1JAMAAFOweTiB0EabAAAAeCsqAwAAU7AbPrJ7sJrAzmoCAADOb7QJXKNNAACAyVEZAACYgl2erQiwV10odQ7JAADAFDy/6ZD3FtO995MBAIBKoTIAADAFz59N4L3fn0kGAACmYJdFdnkyZ4A7EAIAcF6jMuCa934yAABQKVQGAACm4PlNh7z3+zPJAADAFOyGRXZP7jPgxU8t9N40BwAAVAqVAQCAKdg9bBN4802HSAYAAKbg+VMLvTcZ8N5PBgAAKoXKAADAFGyyyObBjYM8ObeuIxkAAJgCbQLXvPeTAQCASqEyAAAwBZs8K/Xbqi6UOodkAABgCrQJXCMZAACYAg8qcs17PxkAAKgUKgMAAFMwZJHdgzkDBksLAQA4v9EmcM17PxkAAKgUkgEAgClUPMLYk80d8+fPV6dOnRQSEqKQkBAlJCTovffecxwvKipScnKyGjVqpAYNGuimm27S0aNHna5x4MAB9e/fX0FBQYqIiNC4ceNUVlbmNGbTpk266KKL5O/vr7i4OKWkpLj974ZkAABgCrZfn1royeaO5s2b68knn1RaWpp27Nihq666SgMGDNCuXbskSWPGjNHq1av1xhtvaPPmzTp8+LBuvPHG3+K12dS/f3+VlJRo+/btWrx4sVJSUjR58mTHmMzMTPXv31+9evVSenq6Ro8ereHDh2v9+vVuxWoxDMNw64w6JC8vT6GhoTrxXWuFBJPXwDslRnep7RCAalNmlGqT/qfc3FyFhIRUy3tU/K4Y/fEN8m/gd87XKS4o1bOXv+NRrOHh4Zo1a5ZuvvlmNWnSRMuWLdPNN98sSdqzZ486dOig1NRUXXbZZXrvvfd03XXX6fDhw4qMjJQkLViwQOPHj9fx48dltVo1fvx4rV27Vt98843jPQYNGqScnBytW7eu0nHxGxQAYApV1SbIy8tz2oqLi8/63jabTa+//roKCwuVkJCgtLQ0lZaWqnfv3o4x7du3V4sWLZSamipJSk1NVceOHR2JgCQlJiYqLy/PUV1ITU11ukbFmIprVBbJAADAFOzy8XiTpJiYGIWGhjq2GTNmuHzPr7/+Wg0aNJC/v79GjBihlStXKj4+XllZWbJarQoLC3MaHxkZqaysLElSVlaWUyJQcbzi2J+NycvL06lTpyr974alhQAAuOHgwYNObQJ/f3+XY9u1a6f09HTl5ubqzTffVFJSkjZv3lwTYbqFZAAAYAo2wyKbmysC/ni+JMfqgMqwWq2Ki4uTJHXr1k2ff/655syZo3/+858qKSlRTk6OU3Xg6NGjioqKkiRFRUXps88+c7pexWqD34/54wqEo0ePKiQkRIGBgZX+bLQJAACmUNNLC88Yg92u4uJidevWTX5+ftq4caPjWEZGhg4cOKCEhARJUkJCgr7++msdO3bMMWbDhg0KCQlRfHy8Y8zvr1ExpuIalUVlAABgCoaHTy003Dx34sSJ6tevn1q0aKH8/HwtW7ZMmzZt0vr16xUaGqphw4Zp7NixCg8PV0hIiO69914lJCTosssukyT16dNH8fHxuuOOOzRz5kxlZWXpkUceUXJysqM1MWLECD3//PN66KGHdNddd+nDDz/UihUrtHbtWrdiJRkAAKAaHDt2THfeeaeOHDmi0NBQderUSevXr9c111wjSZo9e7Z8fHx00003qbi4WImJiXrhhRcc5/v6+mrNmjUaOXKkEhISVL9+fSUlJWnatGmOMa1atdLatWs1ZswYzZkzR82bN9fChQuVmJjoVqzcZwCo47jPALxZTd5nYNjmW2T14D4DJQWleuXKFdUaa22hMgAAMAW7IY/6/vbz9qvz2fF1GgAAk6MyYDKrFzfS2iWNdfSgVZIU265Ig8dk6ZKr8p3GGYb0yO2tteOjED36Sqb+2i9XkvT+8nA9PabFGa+9/KtvFNa4/AEa7yxqrHcWNdbRQ1ZFRJdo0P1Hdc0/TlTjJwPKXdi9QP+457gu6HhSjaLKNOWulkpdFypJ8q1naMj4I7rkqnw1jS1RYZ6Pdm4N1itPNFX20d/Kx8FhZbrnsZ/U/Zo8GXZp27thmj8pWkUnfX/3ToZuHnFc/Qb/oojmpcrL9tWaxY312txIoW6yeziB0JNz6zqSAZNp0rRUd/2/w2rWqliGYdGGNxpqytBWmvf+d2rZrsgxbuXLTWQ5QzXtyhtO6OJeeU77nhrdQqXFPo5EYPXiRlo0o6nun3VQ7bqcVMbOID07LkbBoTZd1ifv9IsCVSggyK4fdgVo/WvhevTV/U7H/APtiut4SsuejdQP3waoQahNI6cd1tSUTN3br61j3PjnDyg8slQTB7VWPT9DDzxzUKNnHdKTybGOMSOnH1a3K/P18vRoZe4OUHCYTSENbTX1MXEO7LLILg/aBB6cW9fViTRn3rx5atmypQICAtS9e/fTbrKAqnNZnzxdenW+mrUuUfM2xRo6IUsB9e3akxbkGLPvm0C99WITjX3mwGnn+wcaCo8oc2w+voa+/LiBEm/9xTFm45vhuvb2X9RzQI6axpao58Ac9bv9F62YF1EjnxHmtuOjEC2e2VTbf60G/N7JfF9NHNRGW1aH6dC+AO35or7mPdxMbTufUpNmJZKkmLgiXXJVvmY/EKOMnfW167MGeuGRZrpyQI7CI0sdY66782dNGdpSn7wfqqMH/bX36yB9sSW4Rj8rUFVqPRlYvny5xo4dq0cffVRffPGFOnfurMTERKebLKB62GzSplVhKj7pow4XF0qSik5a9GRyrJIfP6TwiLKzXEH64I1w+QcauqJ/jmNfaYlF1gC70zj/ALsy0oNUVlqlHwHwWP0Qm+x2qTC3vAXQ4eJC5ef46vuvfkuQv9gaLMMute96UlJ5Un3kgL+6987T4k92a/Gn32r0UwcVHHb2/2dQeyruQOjJ5q1qPRl45plndPfdd2vo0KGKj4/XggULFBQUpFdffbW2Q/NambsDNCCuo65r2VlzJ8Ro8iuZim1b/tStF6c0U/zFhfpr38qV89e/1ki9/n5C/oG/TbPt1jNf65Y10vdfBcowpO++DNS6ZY1UVuqj3Gw6U6g7/PztGvbwEW1aFaaTBeXJQHiTMuX84vxzardZlJ9TT+ER5dls0xYlimxWoiuuy9Ws+2L09OgWuqDTST3y0o81/hlQeRVzBjzZvFWt/s1cUlKitLQ0TZw40bHPx8dHvXv3PuPjF4uLi50eFZmXR//5XDRvU6wXNmToZL6vtq4J01P3x2rW29/rcKa/0j8O1gvvZ1TqOt/uCNKB7wP00HPOfwEOHp2lE8fq6f7r2sowpIZNStX7H9l644VI+Xjv/0s4z/jWM/Twiz9KFum5Cc3dOtfiY8gaYGjW/S300w/ld4Kb/UCM5q3/Xs3bFOnQvoDqCBmoNrWaDPz888+y2WxnfPzinj17Ths/Y8YMTZ06tabC81p+VkPNWpX3Ry/odEoZ6UFatbCJrAGGjuy36sb2HZ3GT7+7pS7sXqhZb+112r9uWSO1+ctJXdDJ+TGZ/oGGHph9UPfPPKgTx/0UHlmqd//bSEENbAptRBkVta88EdivyGYleuiWNo6qgCRlH6+nsD/8nPr4GgoOK1P2sfIVB9nH/FRWKkciIEkHvi9PACKalZIM1FF2efZ8AW+eQHhe1WwnTpyosWPHOl7n5eUpJiamFiPyDoYhlZb46I4HD6vfbb84Hfu/q9rr/6b8dNoqgFOFPtqyOkxDJx5xed16flKT6PKy6ub/NdSlvfOoDKDWVSQCzVqV6KGb2yj/hPNfg7t31FdwmE1xHU9q79fl8wa6/K1AFh9pz87y17s+r696flLT2GId+bE8IWjeurxqefSQtQY/DdxheLiawCAZqB6NGzeWr6/vGR+/WPF4xt/z9/f/0+dG4+xefaKpLrkqT02alepUgY8+WtlQX21voMeX7XOsEPijiGalimpR4rRv8//CZLNZdPVNp9874NA+f2WkB6l910Ll59bT2y820f6MAD045/TVCUBVCwiyKbrVbz+vUTElav2XU8rP8VX2UT9Nenm/4jqe0uQ7W8nH11DDJuUJa36Or8pKfXRwb4A+/zBYo586pOfGN5evn6Hkxw5p8//CHPci2Lmlgb7/KlBjnzmoBY9Gy2KRRj3xk9I2N3CqFqBu8fTJg1Xx1MK6qlaTAavVqm7dumnjxo0aOHCgpPLHO27cuFGjRo2qzdC8Vs7P9TTrvlhlH6unoGCbWnUo0uPL9qnblQVuXWfda410eb8cNQg9fV213S69taCJDu2Lka+foc5/LdDs/32vqJiSM1wJqFptO5/SrLf2OV6PmHpYkvT+8ob679NRSkgsr3LN/+A7p/PG3dRGX6U2kCT9e1QLJT/+k55cse/Xmw6F6oVHmjnGGoZFk5NaKfmxn/TU2/tUdNJHOz4K1ktTo6v74wHVotYfVLR8+XIlJSXpxRdf1KWXXqpnn31WK1as0J49e06bS/BHPKgIZsCDiuDNavJBRX/fMFR+9c+9jVNaWKKV1yziQUXV4Z///KeOHz+uyZMnKysrS126dNG6devOmggAAOAO2gSu1XoyIEmjRo2iLQAAQC2pE8kAAADVjWcTuEYyAAAwBdoErjHrDgAAk6MyAAAwBSoDrpEMAABMgWTANdoEAACYHJUBAIApUBlwjWQAAGAKhjxbHlirt+utZiQDAABToDLgGnMGAAAwOSoDAABToDLgGskAAMAUSAZco00AAIDJURkAAJgClQHXSAYAAKZgGBYZHvxC9+Tcuo42AQAAJkdlAABgCnZZPLrpkCfn1nUkAwAAU2DOgGu0CQAAMDkqAwAAU2ACoWskAwAAU6BN4BrJAADAFKgMuMacAQAATI7KAADAFAwP2wTeXBkgGQAAmIIhyTA8O99b0SYAAMDkqAwAAEzBLoss3IHwjEgGAACmwGoC12gTAABgclQGAACmYDcssnDToTMiGQAAmIJheLiawIuXE9AmAADA5KgMAABMgQmErpEMAABMgWTANZIBAIApMIHQNeYMAABgclQGAACmwGoC10gGAACmUJ4MeDJnoAqDqWNoEwAAYHJUBgAApsBqAtdIBgAApmD8unlyvreiTQAAgMlRGQAAmAJtAtdIBgAA5kCfwCWSAQCAOXhYGZAXVwaYMwAAgMlRGQAAmAJ3IHSNZAAAYApMIHSNNgEAACZHZQAAYA6GxbNJgF5cGSAZAACYAnMGXKNNAACAyVEZAACYAzcdcolkAABgCqwmcK1SycA777xT6QvecMMN5xwMAACoeZVKBgYOHFipi1ksFtlsNk/iAQCg+nhxqd8TlZpAaLfbK7WRCAAA6qqKNoEnmztmzJihSy65RMHBwYqIiNDAgQOVkZHhNKZnz56yWCxO24gRI5zGHDhwQP3791dQUJAiIiI0btw4lZWVOY3ZtGmTLrroIvn7+ysuLk4pKSluxerRaoKioiJPTgcAoOYYVbC5YfPmzUpOTtYnn3yiDRs2qLS0VH369FFhYaHTuLvvvltHjhxxbDNnznQcs9ls6t+/v0pKSrR9+3YtXrxYKSkpmjx5smNMZmam+vfvr169eik9PV2jR4/W8OHDtX79+krH6vYEQpvNpieeeEILFizQ0aNH9d1336l169aaNGmSWrZsqWHDhrl7SQAAzht5eXlOr/39/eXv73/auHXr1jm9TklJUUREhNLS0tSjRw/H/qCgIEVFRZ3xvd5//319++23+uCDDxQZGakuXbpo+vTpGj9+vKZMmSKr1aoFCxaoVatWevrppyVJHTp00LZt2zR79mwlJiZW6jO5XRl4/PHHlZKSopkzZ8pqtTr2X3jhhVq4cKG7lwMAoIZYqmCTYmJiFBoa6thmzJhRqXfPzc2VJIWHhzvtX7p0qRo3bqwLL7xQEydO1MmTJx3HUlNT1bFjR0VGRjr2JSYmKi8vT7t27XKM6d27t9M1ExMTlZqaWqm4pHOoDCxZskQvvfSSrr76aqe+RufOnbVnzx53LwcAQM2oovsMHDx4UCEhIY7dZ6oK/JHdbtfo0aN1+eWX68ILL3Tsv+222xQbG6vo6Gh99dVXGj9+vDIyMvT2229LkrKyspwSAUmO11lZWX86Ji8vT6dOnVJgYOBZ43M7Gfjpp58UFxd32n673a7S0lJ3LwcAwHklJCTEKRmojOTkZH3zzTfatm2b0/5//etfjj937NhRTZs21dVXX619+/apTZs2VRJvZbjdJoiPj9fWrVtP2//mm2+qa9euVRIUAABVroYnEFYYNWqU1qxZo48++kjNmzf/07Hdu3eXJO3du1eSFBUVpaNHjzqNqXhdMc/A1ZiQkJBKVQWkc6gMTJ48WUlJSfrpp59kt9v19ttvKyMjQ0uWLNGaNWvcvRwAADWjhp9aaBiG7r33Xq1cuVKbNm1Sq1atznpOenq6JKlp06aSpISEBD3++OM6duyYIiIiJEkbNmxQSEiI4uPjHWPeffddp+ts2LBBCQkJlY7V7crAgAEDtHr1an3wwQeqX7++Jk+erN27d2v16tW65ppr3L0cAABeKTk5Wf/973+1bNkyBQcHKysrS1lZWTp16pQkad++fZo+fbrS0tK0f/9+vfPOO7rzzjvVo0cPderUSZLUp08fxcfH64477tCXX36p9evX65FHHlFycrJjrsKIESP0ww8/6KGHHtKePXv0wgsvaMWKFRozZkylYz2nZxNcccUV2rBhw7mcCgBArajpRxjPnz9fUvmNhX5v0aJFGjJkiKxWqz744AM9++yzKiwsVExMjG666SY98sgjjrG+vr5as2aNRo4cqYSEBNWvX19JSUmaNm2aY0yrVq20du1ajRkzRnPmzFHz5s21cOHCSi8rlDx4UNGOHTu0e/duSeXzCLp163aulwIAoPrV8FMLjbNkDzExMdq8efNZrxMbG3taG+CPevbsqZ07d7oV3++5nQwcOnRIt956qz7++GOFhYVJknJycvTXv/5Vr7/++lknRwAAgLrF7TkDw4cPV2lpqXbv3q3s7GxlZ2dr9+7dstvtGj58eHXECACA5yomEHqyeSm3KwObN2/W9u3b1a5dO8e+du3a6bnnntMVV1xRpcEBAFBVLEb55sn53srtZCAmJuaMNxey2WyKjo6ukqAAAKhyNTxn4Hzidptg1qxZuvfee7Vjxw7Hvh07duj+++/XU089VaXBAQCA6lepykDDhg1lsfzWKyksLFT37t1Vr1756WVlZapXr57uuusuDRw4sFoCBQDAIzV806HzSaWSgWeffbaawwAAoJrRJnCpUslAUlJSdccBAABqyTnfdEiSioqKVFJS4rTP3Sc5AQBQI6gMuOT2BMLCwkKNGjVKERERql+/vho2bOi0AQBQJ9XSUwvPB24nAw899JA+/PBDzZ8/X/7+/lq4cKGmTp2q6OhoLVmypDpiBAAA1cjtNsHq1au1ZMkS9ezZU0OHDtUVV1yhuLg4xcbGaunSpRo8eHB1xAkAgGdYTeCS25WB7OxstW7dWlL5/IDs7GxJ0t/+9jdt2bKlaqMDAKCKVNyB0JPNW7mdDLRu3VqZmZmSpPbt22vFihWSyisGFQ8uAgAA5w+3k4GhQ4fqyy+/lCRNmDBB8+bNU0BAgMaMGaNx48ZVeYAAAFQJJhC65PacgTFjxjj+3Lt3b+3Zs0dpaWmKi4tTp06dqjQ4AABQ/Ty6z4AkxcbGKjY2tipiAQCg2ljk4VMLqyySuqdSycDcuXMrfcH77rvvnIMBAAA1r1LJwOzZsyt1MYvFUivJwM2X9VA9H2uNvy9QE1YeWlfbIQDVJi/frmbta+jNWFroUqWSgYrVAwAAnLe4HbFLbq8mAAAA3sXjCYQAAJwXqAy4RDIAADAFT+8iyB0IAQCA16IyAAAwB9oELp1TZWDr1q26/fbblZCQoJ9++kmS9J///Efbtm2r0uAAAKgy3I7YJbeTgbfeekuJiYkKDAzUzp07VVxcLEnKzc3VE088UeUBAgCA6uV2MvDYY49pwYIFevnll+Xn5+fYf/nll+uLL76o0uAAAKgqPMLYNbfnDGRkZKhHjx6n7Q8NDVVOTk5VxAQAQNXjDoQuuV0ZiIqK0t69e0/bv23bNrVu3bpKggIAoMoxZ8Alt5OBu+++W/fff78+/fRTWSwWHT58WEuXLtWDDz6okSNHVkeMAACgGrndJpgwYYLsdruuvvpqnTx5Uj169JC/v78efPBB3XvvvdURIwAAHuOmQ665nQxYLBY9/PDDGjdunPbu3auCggLFx8erQYMG1REfAABVg/sMuHTONx2yWq2Kj4+vylgAAEAtcDsZ6NWrlywW1zMqP/zwQ48CAgCgWni6PJDKwG+6dOni9Lq0tFTp6en65ptvlJSUVFVxAQBQtWgTuOR2MjB79uwz7p8yZYoKCgo8DggAANSsKntq4e23365XX321qi4HAEDV4j4DLlXZUwtTU1MVEBBQVZcDAKBKsbTQNbeTgRtvvNHptWEYOnLkiHbs2KFJkyZVWWAAAKBmuJ0MhIaGOr328fFRu3btNG3aNPXp06fKAgMAADXDrWTAZrNp6NCh6tixoxo2bFhdMQEAUPVYTeCSWxMIfX191adPH55OCAA47/AIY9fcXk1w4YUX6ocffqiOWAAAQC1wOxl47LHH9OCDD2rNmjU6cuSI8vLynDYAAOoslhWeUaXnDEybNk0PPPCArr32WknSDTfc4HRbYsMwZLFYZLPZqj5KAAA8xZwBlyqdDEydOlUjRozQRx99VJ3xAACAGlbpZMAwylOiK6+8stqCAQCgunDTIdfcWlr4Z08rBACgTqNN4JJbyUDbtm3PmhBkZ2d7FBAAAKhZbiUDU6dOPe0OhAAAnA9oE7jmVjIwaNAgRUREVFcsAABUH9oELlX6PgPMFwAAwDu5vZoAAIDzEpUBlyqdDNjt9uqMAwCAasWcAdfcfoQxAADnJSoDLrn9bAIAAOBdqAwAAMyByoBLJAMAAFNgzoBrtAkAADA5KgMAAHOgTeASyQAAwBRoE7hGmwAAAJOjMgAAMAfaBC6RDAAAzIFkwCXaBAAAmByVAQCAKVh+3Tw531uRDAAAzIE2gUskAwAAU2BpoWvMGQAAwORIBgAA5mBUweaGGTNm6JJLLlFwcLAiIiI0cOBAZWRkOI0pKipScnKyGjVqpAYNGuimm27S0aNHncYcOHBA/fv3V1BQkCIiIjRu3DiVlZU5jdm0aZMuuugi+fv7Ky4uTikpKW7FSjIAADCPGkoEJGnz5s1KTk7WJ598og0bNqi0tFR9+vRRYWGhY8yYMWO0evVqvfHGG9q8ebMOHz6sG2+80XHcZrOpf//+Kikp0fbt27V48WKlpKRo8uTJjjGZmZnq37+/evXqpfT0dI0ePVrDhw/X+vXrKx2rxTCM87YLkpeXp9DQUF0dPkT1fKy1HQ5QLd78cl1thwBUm7x8u5q1P6Tc3FyFhIRUz3v8+rviL//3hHytAed8HVtJkXa9+P/OOdbjx48rIiJCmzdvVo8ePZSbm6smTZpo2bJluvnmmyVJe/bsUYcOHZSamqrLLrtM7733nq677jodPnxYkZGRkqQFCxZo/PjxOn78uKxWq8aPH6+1a9fqm2++cbzXoEGDlJOTo3XrKvf3B5UBAIApVEwg9GSTypOL32/FxcWVev/c3FxJUnh4uCQpLS1NpaWl6t27t2NM+/bt1aJFC6WmpkqSUlNT1bFjR0ciIEmJiYnKy8vTrl27HGN+f42KMRXXqAySAQCAOVTRnIGYmBiFhoY6thkzZpz1re12u0aPHq3LL79cF154oSQpKytLVqtVYWFhTmMjIyOVlZXlGPP7RKDieMWxPxuTl5enU6dOnTU2iaWFAAC45eDBg05tAn9//7Oek5ycrG+++Ubbtm2rztDOGckAAMAUquo+AyEhIW7NGRg1apTWrFmjLVu2qHnz5o79UVFRKikpUU5OjlN14OjRo4qKinKM+eyzz5yuV7Ha4Pdj/rgC4ejRowoJCVFgYGClYqRNAAAwhxpeWmgYhkaNGqWVK1fqww8/VKtWrZyOd+vWTX5+ftq4caNjX0ZGhg4cOKCEhARJUkJCgr7++msdO3bMMWbDhg0KCQlRfHy8Y8zvr1ExpuIalUFlAACAapCcnKxly5bpf//7n4KDgx09/tDQUAUGBio0NFTDhg3T2LFjFR4erpCQEN17771KSEjQZZddJknq06eP4uPjdccdd2jmzJnKysrSI488ouTkZEd7YsSIEXr++ef10EMP6a677tKHH36oFStWaO3atZWOlWQAAGAKNX074vnz50uSevbs6bR/0aJFGjJkiCRp9uzZ8vHx0U033aTi4mIlJibqhRdecIz19fXVmjVrNHLkSCUkJKh+/fpKSkrStGnTHGNatWqltWvXasyYMZozZ46aN2+uhQsXKjExsdKxkgwAAMyhhh9UVJnb+AQEBGjevHmaN2+eyzGxsbF69913//Q6PXv21M6dO90L8HdIBgAA5sBTC11iAiEAACZHZQAAYAo8wtg1kgEAgDnQJnCJNgEAACZHZQAAYAoWw5DFgwf1enJuXUcyAAAwB9oELtEmAADA5KgMAABMgdUErpEMAADMgTaBS7QJAAAwOSoDAABToE3gGskAAMAcaBO4RDIAADAFKgOuMWcAAACTozIAADAH2gQukQwAAEzDm0v9nqBNAACAyVEZAACYg2GUb56c76VIBgAApsBqAtdoEwAAYHJUBgAA5sBqApdIBgAApmCxl2+enO+taBMAAGByVAZM5sJuObppyAHFxeerUUSJpt9/oVI/bOI4Pnhkpnr0O6YmkUUqLfPR3m+DtWRuK2V8HSpJiog+pVv/70d1vvSEGjYuUfZxqz5cE6XlL8WqrOy33PKKxGO6ZfiPahZ7Unkn/LT6teZ6K6VFjX9emM+6JRFatyRCxw75S5Ji2p7SLaN/Urercp3GGYY0/Y622rkpTBMWfqfufXMkSXkn6unZUa21f0+Q8k/UU2ijUl3aJ0e3TziooODfvhqWFlu0/Nlm2vJ2I5047qeGEaW6ZfRP6j3o5xr7rHATbQKXSAZMJiDQpszvGuj9lU01ac43px3/6ccgzX/iAmUdCpTV366/33FQj734pYb1v0x5J6yKaXVSPj6GnpvWTkcOBio2rlD3TdmjgECbXnk6TpJ08d9+0bgZ32rBjAv0RWq4YloV6r4pGSou9tGa15rX9EeGyTRqWqI7Jh5U01ZFMmTRR2801pPDLtDT63apRbtTjnGrF0bKYjn9fB+LoUsTc3TbQz8ppFGpsvYH6KWHY7VgQiuNnbfPMW7WyDjlHvdT8lOZatqySNnHrDK8uIzsDVhN4FqtJgNbtmzRrFmzlJaWpiNHjmjlypUaOHBgbYbk9XZsa6Qd2xq5PL7p3Uin1y/NilPiTUfUqm2Bvvw0XGkfN1Lax7+dn3UoUG+ntNC1//zJkQxcdX2WUj9qrHffaOYYs+KVIv3jrgNa81ozSWf4GxioIpdck+P0+vbxh7R+SYS++6K+IxnI3BWkd15sqlnv7tJdF3V1Gt8gzKa+dx5zvI5oXqK+dx7TqgVRjn1ffBSqXZ8Ea8HHXyq4oa18XExJNX0iVBnuM+BSrc4ZKCwsVOfOnTVv3rzaDAMu1KtnV7+bD6sgr54yMxq4HFc/uEwFuX6O135+hkqLnX+0Sop81CSqWBHRRdUWL/BHNpu09X/hKjrlo3bdCiRJxad89MyoNrr78f1qGFF61mtkZ/npk/ca6i+X5Tv2fb4hTHGdCrVyflMN69ZF91zRSSnTY1R8ikQX56darQz069dP/fr1q/T44uJiFRcXO17n5eVVR1imd2mPnzV+1rfyD7Ap+7hVD/+rs/JyrGcc2zTmpK6/9ZAW/loVkKS07eH617jv1bl7tr76rKGiW5zS35MOSpLCm5To2OHAGvkcMK8fdwdqwoB4lRT7KKC+TRNe/l4xbcsT0VentFD7bvnqnpjzp9d4OrmNPlsfppIiX11yzQklz8p0HDv6o792fx4sP39D4xd+r/zsenrx4ZbKP1FP9z6T+SdXRW2iTeDaebWaYMaMGQoNDXVsMTExtR2SV/ry84YadfPFeuCOi5T2cSNNfGqXQsNPL4E2iijW9AVfadv7EVr/VrRj/7o3m2r168015fmv9c4Xm/XM0jRteS9CkuipokZEtynSM+u/0czVu9T3jmOaO6a1Dn4XoM/eD9PXH4forqkHznqNux49oKfX7dLEV79T1o/+WjTttwmwdsMii6Qxz+1T266F6nZ1roZOPqCP3mhMdaAuM6pg81Ln1QTCiRMnauzYsY7XeXl5JATVoPiUr44cDNKRg1LGV6F6ec0nSvz7Ea14JdYxJrxJsZ58Zad2p4do7tR2f7iCRYtmt9HiOa3VsHGJcrP91OWyE5KkI4eoCqD6+VkNNW1VXkVs0+mk9n5ZX2teiZI1wK6sH/11e3w3p/Ez/3WBOlyar8fe3OPY1zCiVA0jStU8rkgNwsr08I3x+sf9hxUeWb4/PKpE9UNsjvHNLzglw7DolyNWRbcuFnA+Oa+SAX9/f/n7+9d2GKbj42PIz/rbV/pGEeWJwPffBmv2pA4yjDN/E7LbLfrlWPl/ryv7HdW36SHKO3HmdgNQnex2i0pLLBr0wBH1vvW407HRvTtq6KMHdMk1J1yeb9jLf8bLSsr/2eHifG1f01CnCn0UWL/8/43DPwTIx8dQo6ZMJKyraBO4dl4lA/BcQGCZolv8trwqslmRWrfLV36un/Jy/TTo7v36ZFNjnTjur5CGpbpu0CE1iijR1vfLy/yNIor15Ks7dexIgF55Ok6hDX/7i+/EL+W/+EPCSvS3a47rqx1hslrtumZglv7W57jGD3WetQ1Uh//MaK6LeuWqSbNinSrw1ZZVjbQrNViTlx52fNv/oybNihXZovxnOW1jqHJ+9lNc50IF1rfpwHeBWvxYC7W/JN+xYuCKv/+iFXOi9dzY1rr1gUPKy/bT4sda6Kp/Hpd/oBf/xjjfsZrAJZIBk7ngL/n696J0x+t/PbRXkrThf1F6flpbNW91Ug/f8I1CG5YqL8dP3+0K0bikrjqwr74kqWtCtprFnlKz2FP6z8btTte+tmMvx5+vHpClYQ/uk0WGdn8Vqgl3ddF334RU/weE6eX+7Kc5o1vrxDE/BQXb1LLDSU1emqEuPSo34dgaYNeGZU306tQWKiv2UaPoEl3WL1s3JR9xjAmsb9eU1zK0cFKsHrz2LwpuWKbLr8/WbeMOVdfHAqqVxTBqL9UpKCjQ3r3lv4y6du2qZ555Rr169VJ4eLhatDj73ery8vIUGhqqq8OHqJ4P5Wd4pze/XFfbIQDVJi/frmbtDyk3N1chIdXzhaHid0VCv2mq5xdwztcpKy1S6nuTqzXW2lKrlYEdO3aoV6/fvk1WTA5MSkpSSkpKLUUFAPBK3I7YpVpNBnr27KlaLEwAAAAxZwAAYBKsJnCNZAAAYA52o3zz5HwvRTIAADAH5gy4dF7djhgAAFQ9KgMAAFOwyMM5A1UWSd1DMgAAMAfuQOgSbQIAAEyOygAAwBRYWugayQAAwBxYTeASbQIAAEyOygAAwBQshiGLB5MAPTm3riMZAACYg/3XzZPzvRRtAgAATI7KAADAFGgTuEYyAAAwB1YTuEQyAAAwB+5A6BJzBgAAMDkqAwAAU+AOhK6RDAAAzIE2gUu0CQAAMDkqAwAAU7DYyzdPzvdWJAMAAHOgTeASbQIAAEyOygAAwBy46ZBLJAMAAFPgdsSu0SYAAMDkqAwAAMyBCYQukQwAAMzBkOTJ8kDvzQVIBgAA5sCcAdeYMwAAgMlRGQAAmIMhD+cMVFkkdQ7JAADAHJhA6BJtAgAATI5kAABgDvYq2NywZcsWXX/99YqOjpbFYtGqVaucjg8ZMkQWi8Vp69u3r9OY7OxsDR48WCEhIQoLC9OwYcNUUFDgNOarr77SFVdcoYCAAMXExGjmzJnuBSqSAQCASVSsJvBkc0dhYaE6d+6sefPmuRzTt29fHTlyxLG99tprTscHDx6sXbt2acOGDVqzZo22bNmif/3rX47jeXl56tOnj2JjY5WWlqZZs2ZpypQpeumll9yKlTkDAABUg379+qlfv35/Osbf319RUVFnPLZ7926tW7dOn3/+uS6++GJJ0nPPPadrr71WTz31lKKjo7V06VKVlJTo1VdfldVq1V/+8help6frmWeecUoazobKAADAHComEHqyqfzb+O+34uLicw5p06ZNioiIULt27TRy5Ej98ssvjmOpqakKCwtzJAKS1Lt3b/n4+OjTTz91jOnRo4esVqtjTGJiojIyMnTixIlKx0EyAAAwhypKBmJiYhQaGurYZsyYcU7h9O3bV0uWLNHGjRv173//W5s3b1a/fv1ks9kkSVlZWYqIiHA6p169egoPD1dWVpZjTGRkpNOYitcVYyqDNgEAAG44ePCgQkJCHK/9/f3P6TqDBg1y/Lljx47q1KmT2rRpo02bNunqq6/2OE53UBkAAJhDFVUGQkJCnLZzTQb+qHXr1mrcuLH27t0rSYqKitKxY8ecxpSVlSk7O9sxzyAqKkpHjx51GlPx2tVchDMhGQAAmEMNLy1016FDh/TLL7+oadOmkqSEhATl5OQoLS3NMebDDz+U3W5X9+7dHWO2bNmi0tJSx5gNGzaoXbt2atiwYaXfm2QAAGAKNb20sKCgQOnp6UpPT5ckZWZmKj09XQcOHFBBQYHGjRunTz75RPv379fGjRs1YMAAxcXFKTExUZLUoUMH9e3bV3fffbc+++wzffzxxxo1apQGDRqk6OhoSdJtt90mq9WqYcOGadeuXVq+fLnmzJmjsWPHuhUryQAAANVgx44d6tq1q7p27SpJGjt2rLp27arJkyfL19dXX331lW644Qa1bdtWw4YNU7du3bR161antsPSpUvVvn17XX311br22mv1t7/9zekeAqGhoXr//feVmZmpbt266YEHHtDkyZPdWlYoMYEQAGAWNfxsgp49e8r4k3PWr19/1muEh4dr2bJlfzqmU6dO2rp1q1ux/RHJAADAHOyGZPEgGbDzoCIAAOClqAwAAMyBRxi7RDIAADAJD5MBeW8yQJsAAACTozIAADAH2gQukQwAAMzBbsijUj+rCQAAgLeiMgAAMAfDXr55cr6XIhkAAJgDcwZcIhkAAJgDcwZcYs4AAAAmR2UAAGAOtAlcIhkAAJiDIQ+TgSqLpM6hTQAAgMlRGQAAmANtApdIBgAA5mC3S/LgXgF2773PAG0CAABMjsoAAMAcaBO4RDIAADAHkgGXaBMAAGByVAYAAObA7YhdIhkAAJiCYdhlePDkQU/OretIBgAA5mAYnn27Z84AAADwVlQGAADmYHg4Z8CLKwMkAwAAc7DbJYsHfX8vnjNAmwAAAJOjMgAAMAfaBC6RDAAATMGw22V40Cbw5qWFtAkAADA5KgMAAHOgTeASyQAAwBzshmQhGTgT2gQAAJgclQEAgDkYhiRP7jPgvZUBkgEAgCkYdkOGB20Cg2QAAIDznGGXZ5UBlhYCAAAvRWUAAGAKtAlcIxkAAJgDbQKXzutkoCJLKzNKPPrvC9Rlefn8cMN75ReU/3zXxLfuMpV6dM+hMpVWXTB1zHmdDOTn50uSNp9YVsuRANWnWfvajgCofvn5+QoNDa2Wa1utVkVFRWlb1rseXysqKkpWq7UKoqpbLMZ53ASx2+06fPiwgoODZbFYajscU8jLy1NMTIwOHjyokJCQ2g4HqFL8fNc8wzCUn5+v6Oho+fhU35z2oqIilZSUeHwdq9WqgICAKoiobjmvKwM+Pj5q3rx5bYdhSiEhIfxlCa/Fz3fNqq6KwO8FBAR45S/xqsLSQgAATI5kAAAAkyMZgFv8/f316KOPyt/fv7ZDAaocP98wq/N6AiEAAPAclQEAAEyOZAAAAJMjGQAAwORIBgAAMDmSAVTavHnz1LJlSwUEBKh79+767LPPajskoEps2bJF119/vaKjo2WxWLRq1araDgmoUSQDqJTly5dr7NixevTRR/XFF1+oc+fOSkxM1LFjx2o7NMBjhYWF6ty5s+bNm1fboQC1gqWFqJTu3bvrkksu0fPPPy+p/LkQMTExuvfeezVhwoRajg6oOhaLRStXrtTAgQNrOxSgxlAZwFmVlJQoLS1NvXv3duzz8fFR7969lZqaWouRAQCqAskAzurnn3+WzWZTZGSk0/7IyEhlZWXVUlQAgKpCMgAAgMmRDOCsGjduLF9fXx09etRp/9GjRxUVFVVLUQEAqgrJAM7KarWqW7du2rhxo2Of3W7Xxo0blZCQUIuRAQCqQr3aDgDnh7FjxyopKUkXX3yxLr30Uj377LMqLCzU0KFDazs0wGMFBQXau3ev43VmZqbS09MVHh6uFi1a1GJkQM1gaSEq7fnnn9esWbOUlZWlLl26aO7cuerevXtthwV4bNOmTerVq9dp+5OSkpSSklLzAQE1jGQAAACTY84AAAAmRzIAAIDJkQwAAGByJAMAAJgcyQAAACZHMgAAgMmRDAAAYHIkAwAAmBzJAOChIUOGaODAgY7XPXv21OjRo2s8jk2bNslisSgnJ8flGIvFolWrVlX6mlOmTFGXLl08imv//v2yWCxKT0/36DoAqg/JALzSkCFDZLFYZLFYZLVaFRcXp2nTpqmsrKza3/vtt9/W9OnTKzW2Mr/AAaC68aAieK2+fftq0aJFKi4u1rvvvqvk5GT5+flp4sSJp40tKSmR1WqtkvcNDw+vkusAQE2hMgCv5e/vr6ioKMXGxmrkyJHq3bu33nnnHUm/lfYff/xxRUdHq127dpKkgwcP6pZbblFYWJjCw8M1YMAA7d+/33FNm82msWPHKiwsTI0aNdJDDz2kPz7e449tguLiYo0fP14xMTHy9/dXXFycXnnlFe3fv9/xcJyGDRvKYrFoyJAhksofET1jxgy1atVKgYGB6ty5s958802n93n33XfVtm1bBQYGqlevXk5xVtb48ePVtm1bBQUFqXXr1po0aZJKS0tPG/fiiy8qJiZGQUFBuuWWW5Sbm+t0fOHCherQoYMCAgLUvn17vfDCC27HAqD2kAzANAIDA1VSUuJ4vXHjRmVkZGjDhg1as2aNSktLlZiYqODgYG3dulUff/yxGjRooL59+zrOe/rpp5WSkqJXX31V27ZtU3Z2tlauXPmn73vnnXfqtdde09y5c7V79269+OKLatCggWJiYvTWW29JkjIyMnTkyBHNmTNHkjRjxgwtWbJECxYs0K5duzRmzBjdfvvt2rx5s6TypOXGG2/U9ddfr/T0dA0fPlwTJkxw+99JcHCwUlJS9O2332rOnDl6+eWXNXv2bKcxe/fu1YoVK7R69WqtW7dOO3fu1D333OM4vnTpUk2ePFmPP/64du/erSeeeEKTJk3S4sWL3Y4HQC0xAC+UlJRkDBgwwDAMw7Db7caGDRsMf39/48EHH3Qcj4yMNIqLix3n/Oc//zHatWtn2O12x77i4mIjMDDQWL9+vWEYhtG0aVNj5syZjuOlpaVG8+bNHe9lGIZx5ZVXGvfff79hGIaRkZFhSDI2bNhwxjg/+ugjQ5Jx4sQJx76ioiIjKCjI2L59u9PYYcOGGbfeeqthGIYxceJEIz4+3un4+PHjT7vWH0kyVq5c6fL4rFmzjG7dujleP/roo4avr69x6NAhx7733nvP8PHxMY4cOWIYhmG0adPGWLZsmdN1pk+fbiQkJBiGYRiZmZmGJGPnzp0u3xdA7WLOALzWmjVr1KBBA5WWlsput+u2227TlClTHMc7duzoNE/gyy+/1N69exUcHOx0naKiIu3bt0+5ubk6cuSIunfv7jhWr149XXzxxae1Ciqkp6fL19dXV155ZaXj3rt3r06ePKlrrrnGaX9JSYm6du0qSdq9e7dTHJKUkJBQ6feosHz5cs2dO1f79u1TQUGBysrKFBIS4jSmRYsWatasmdP72O12ZWRkKDg4WPv27dOwYcN09913O8aUlZUpNDTU7XgA1A6SAXitXr16af78+bJarYqOjla9es4/7vXr13d6XVBQoG7dumnp0qWnXatJkybnFENgYKDb5xQUFEiS1q5d6/RLWCqfB1FVUlNTNXjwYE2dOlWJiYkKDQ3V66+/rqefftrtWF9++eXTkhNfX98qixVA9SIZgNeqX7++4uLiKj3+oosu0vLlyxUREXHat+MKTZs21aeffqoePXpIKv8GnJaWposuuuiM4zt27Ci73a7Nmzerd+/epx2vqEzYbDbHvvj4ePn7++vAgQMuKwodOnRwTIas8Mknn5z9Q/7O9u3bFRsbq4cfftix78cffzxt3IEDB3T48GFFR0c73sfHx0ft2rVTZGSkoqOj9cMPP2jw4MFuvT+AuoMJhMCvBg8erMaNG2vAgAHaunWrMjMztWnTJt133306dOiQJOn+++/Xk08+qVWrVmnPnj265557/vQeAS1btlRSUpLuuusurVq1ynHNFStWSJJiY2NlsVi0Zs0aHT9+XAUFBQoODtaDDz6oMWPGaPHixdq3b5+++OILPffcc45JeSNGjND333+vcePGKSMjQ8uWLVNKSopbn/eCCy7QgQMH9Prrr2vfvn2aO3fuGSdDBgQEKCkpSV9++aW2bt2q++67T7fccouioqIkSVOnTtWMGTM0d+5cfffdd/r666+1aNEiPfPMM27FA6D2kAwAvwoKCtKWLVvUokUL3XjjjerQoYOGDRumoqIiR6XggQce0B133KGkpCQlJCQoODhYf//73//0uvPnz9fNN9+se+65R+3bt9fdd9+twsJCSVKzZs00depUTZgwQZGRkRo1apQkafr06Zo0aZJmzJihDh06qG/fvlq7dq1atWolqbyP/9Zbb2nVqlXq3LmzFixYoCeeeMKtz3vDDTdozJgxGjVqlLp06aLt27dr0qRJp42Li4vTjTfeqGuvvVZ9+vRRp06dnJYODh8+XAsXLtSiRYvUsWNHXXnllUpJSXHECqDusxiuZj4BAABToDIAAIDJkQwAAGByJAMAAJgcyQAAACZHMgAAgMmRDAAAYHIkAwAAmBzJAAAAJkcyAACAyZEMAABgciQDAACY3P8H4A86HbI7vagAAAAASUVORK5CYII=\n"},"metadata":{}}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_MA.predict(crdcd_fd_i_Xst)\n","print(crdcd_fdclfrt(crdcd_fd_o_Yst, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Yst, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for test:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":627},"id":"-Ua6Mcnfzp6Y","executionInfo":{"status":"ok","timestamp":1693156913215,"user_tz":-330,"elapsed":868,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"fcfa80ae-7472-435c-cd8f-f881c8ba7bff"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.72      0.72      0.72      4623\n","           1       0.73      0.73      0.73      4827\n","\n","    accuracy                           0.73      9450\n","   macro avg       0.73      0.73      0.73      9450\n","weighted avg       0.73      0.73      0.73      9450\n","\n","Duration for test: 0.07788705825805664\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["#### Adaboost classifier"],"metadata":{"id":"u7EFvfYE2DPo"}},{"cell_type":"code","source":["from sklearn.ensemble import AdaBoostClassifier as crdcd_fdadbst\n","\n","crd_par = { 'algorithm':['SAMME','SAMME.R'],\n","              'estimator': ['object',None],\n","               'n_estimators': [50,60,70,80,90],\n","            'learning_rate':[2.0,3.0,4.0,5.0,6.0]}\n","\n","\n","crd_par_bs = crdcd_fdadbst(random_state=33)\n","crd_par_bs = crdcd_fdgshc(crd_par_bs, crd_par, cv=2, verbose=1)\n","crd_par_bs.fit(crdcd_fd_i_Xnt.sample(1000, random_state=33), crdcd_fd_o_Ynt.sample(1000, random_state=33))\n","\n","print( crd_par_bs.best_params_)\n","print(\"credit card-score: \", crd_par_bs.best_score_)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"yjGVVmb02Pzk","executionInfo":{"status":"ok","timestamp":1693156945092,"user_tz":-330,"elapsed":25923,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"6d582647-484e-4147-eaa9-26762f2d75bf"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Fitting 2 folds for each of 100 candidates, totalling 200 fits\n","{'algorithm': 'SAMME', 'estimator': None, 'learning_rate': 3.0, 'n_estimators': 70}\n","credit card-score:  0.642\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_MB= crdcd_fdadbst(algorithm= 'SAMME', estimator= None, learning_rate=3.0 ,n_estimators=70 )\n","crdcd_fd_MB.fit(crdcd_fd_i_Xnt, crdcd_fd_o_Ynt)\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","print(\"Duration for Training:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"yfkj7qsj3AL5","executionInfo":{"status":"ok","timestamp":1693156972450,"user_tz":-330,"elapsed":4320,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"be5b6deb-a188-4c21-8c66-f45bf312d71b"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Duration for Training: 4.086331605911255\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_MB.predict(crdcd_fd_i_Xdv)\n","print(crdcd_fdclfrt(crdcd_fd_o_Ydv, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Ydv, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for validation:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"_sxF2mZ-q9rW","executionInfo":{"status":"ok","timestamp":1693156978093,"user_tz":-330,"elapsed":866,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"e09577a5-dfae-4943-e437-e05f43cb48a5"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.26      0.08      0.12      4685\n","           1       0.46      0.77      0.58      4765\n","\n","    accuracy                           0.43      9450\n","   macro avg       0.36      0.43      0.35      9450\n","weighted avg       0.36      0.43      0.35      9450\n","\n","Duration for validation: 0.09515976905822754\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_MB.predict(crdcd_fd_i_Xst)\n","print(crdcd_fdclfrt(crdcd_fd_o_Yst, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Yst, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for test:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"YVCwuMzw3avo","executionInfo":{"status":"ok","timestamp":1693156987578,"user_tz":-330,"elapsed":1072,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"57031edb-97fe-485d-8ef8-6fc571632d8c"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.26      0.09      0.13      4623\n","           1       0.47      0.77      0.58      4827\n","\n","    accuracy                           0.43      9450\n","   macro avg       0.36      0.43      0.35      9450\n","weighted avg       0.37      0.43      0.36      9450\n","\n","Duration for test: 0.14372611045837402\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAAgMAAAGwCAYAAAA0bWYRAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABG9ElEQVR4nO3deVhU9f4H8PewzLDOsCgzEkgouZBbUuncyjQJNDJNq2uZoqn9NDDFq5I3NdOKrmYuaVpZYl1NbdGbWBriBTVxQ8mdm4qBwYAbjCDrzPn9QZyacHSGGRY579fznOdxzvmeM5/pIebD5/M93yMTBEEAERERSZZDUwdARERETYvJABERkcQxGSAiIpI4JgNEREQSx2SAiIhI4pgMEBERSRyTASIiIolzauoAbGE0GpGXlwdPT0/IZLKmDoeIiKwkCAKuX78Of39/ODg03N+n5eXlqKystPk6crkcLi4udoioebmjk4G8vDwEBgY2dRhERGSj3NxcBAQENMi1y8vLERzkAV2hweZraTQaZGdnt7iE4I5OBjw9PQEAD+MJOMG5iaMhahib/3e8qUMgajD6EiOCel4Qf583hMrKSugKDfg1424oPetffdBfNyIo7AIqKyuZDDQnta0BJzjDScZkgFomW355Ed0pGqPV6+Epg4dn/d/HiJbbjr6jkwEiIiJLGQQjDDY8jccgGO0XTDPDZICIiCTBCAFG1D8bsOXc5o71RyIiIoljZYCIiCTBCCNsKfTbdnbzxmSAiIgkwSAIMAj1L/Xbcm5zxzYBERGRxLEyQEREksAJhOYxGSAiIkkwQoCBycBNsU1AREQkcawMEBGRJLBNYB6TASIikgTeTWAe2wREREQSx8oAERFJgvH3zZbzWyomA0REJAkGG+8msOXc5o7JABERSYJBgI1PLbRfLM0N5wwQERFJHJMBIiKSBKMdtvp69913IZPJMGXKFHFfeXk5YmJi4OvrCw8PDwwbNgwFBQUm5+Xk5CAqKgpubm7w8/PD9OnTUV1dbTImNTUVPXv2hEKhQEhICBITE62Oj8kAERFJghEyGGzYjJDV630PHTqEjz76CN26dTPZHxcXh61bt+Krr75CWloa8vLyMHToUPG4wWBAVFQUKisrsW/fPqxduxaJiYmYM2eOOCY7OxtRUVHo168fMjMzMWXKFIwbNw47duywKkYmA0RERFbQ6/UmW0VFhdmxJSUlGDFiBD755BN4e3uL+4uLi/Hpp5/i/fffx2OPPYawsDCsWbMG+/btw/79+wEAP/74I06dOoV///vf6NGjBwYOHIj58+djxYoVqKysBACsWrUKwcHBWLRoETp37ozY2Fg888wzWLx4sVWfickAERFJglGwfQOAwMBAqFQqcUtISDD7njExMYiKikJ4eLjJ/oyMDFRVVZns79SpE9q2bYv09HQAQHp6Orp27Qq1Wi2OiYyMhF6vx8mTJ8Uxf712ZGSkeA1L8W4CIiKShNpyvy3nA0Bubi6USqW4X6FQ3HT8hg0bcOTIERw6dKjOMZ1OB7lcDi8vL5P9arUaOp1OHPPnRKD2eO2xW43R6/UoKyuDq6urRZ+NyQAREZEVlEqlSTJwM7m5uZg8eTKSk5Ph4uLSSJHVH9sEREQkCbZMHrS2qpCRkYHCwkL07NkTTk5OcHJyQlpaGpYtWwYnJyeo1WpUVlaiqKjI5LyCggJoNBoAgEajqXN3Qe3r241RKpUWVwUAJgNERCQRRkFm82ap/v374/jx48jMzBS3+++/HyNGjBD/7ezsjJSUFPGcrKws5OTkQKvVAgC0Wi2OHz+OwsJCcUxycjKUSiVCQ0PFMX++Ru2Y2mtYim0CIiIiO/P09ESXLl1M9rm7u8PX11fcP3bsWEydOhU+Pj5QKpWYNGkStFotevfuDQCIiIhAaGgoRo4ciQULFkCn02HWrFmIiYkR5ylMmDABy5cvx4wZM/DSSy9h165d2LRpE7Zt22ZVvEwGiIhIEuw1gdBeFi9eDAcHBwwbNgwVFRWIjIzEhx9+KB53dHREUlISJk6cCK1WC3d3d0RHR2PevHnimODgYGzbtg1xcXFYunQpAgICsHr1akRGRloVi0wQ7twHNOv1eqhUKvTFYDjJnJs6HKIGsSMvs6lDIGow+utGeHc4j+Li4ttOyqv3e/z+XbHrRCA8POvfHS+5bsRjXXIbNNamwsoAERFJgmBl3/9m57dUnEBIREQkcawMEBGRJDS3OQPNCZMBIiKSBIPgAINQ/4K44Y6dYXd7bBMQERFJHCsDREQkCUbIYLThb2AjWm5pgMkAERFJAucMmMc2ARERkcSxMkBERJJg+wRCtgmIiIjuaDVzBupf6rfl3OaObQIiIiKJY2WAiIgkwQgHGHg3wU0xGSAiIkngnAHzmAwQEZEkGOHAdQbM4JwBIiIiiWNlgIiIJMEgyGCw4THEtpzb3DEZICIiSTDYOIHQwDYBERERtVSsDBARkSQYBQcYbbibwMi7CYiIiO5sbBOYxzYBERGRxLEyQEREkmCEbXcEGO0XSrPDZICIiCTB9kWHWm4xveV+MiIiIrIIKwNERCQJtj+boOX+/cxkgIiIJMEIGYywZc4AVyAkIiK6o7EyYF7L/WRERERkEVYGiIhIEmxfdKjl/v3MZICIiCTBKMhgtGWdgRb81MKWm+YQERGRRVgZICIiSTDa2CZoyYsOMRkgIiJJsP2phS03GWi5n4yIiIgswsoAERFJggEyGGxYOMiWc5s7JgNERCQJbBOY13I/GREREVmEyQAREUmCAX+0Cuq3WWflypXo1q0blEollEoltFotfvjhB/F43759IZPJTLYJEyaYXCMnJwdRUVFwc3ODn58fpk+fjurqapMxqamp6NmzJxQKBUJCQpCYmGj1fxu2CYiISBIau00QEBCAd999F/fccw8EQcDatWsxePBgHD16FPfeey8AYPz48Zg3b554jpubm/hvg8GAqKgoaDQa7Nu3D/n5+Rg1ahScnZ3xzjvvAACys7MRFRWFCRMmYN26dUhJScG4cePQpk0bREZGWhwrkwEiIpIEez2oSK/Xm+xXKBRQKBR1xg8aNMjk9dtvv42VK1di//79YjLg5uYGjUZz0/f78ccfcerUKezcuRNqtRo9evTA/PnzER8fj7lz50Iul2PVqlUIDg7GokWLAACdO3fG3r17sXjxYquSAbYJiIiIrBAYGAiVSiVuCQkJtz3HYDBgw4YNKC0thVarFfevW7cOrVq1QpcuXTBz5kzcuHFDPJaeno6uXbtCrVaL+yIjI6HX63Hy5ElxTHh4uMl7RUZGIj093arPxMoAERFJggAZjDbcHij8fm5ubi6USqW4/2ZVgVrHjx+HVqtFeXk5PDw8sHnzZoSGhgIAXnjhBQQFBcHf3x/Hjh1DfHw8srKy8O233wIAdDqdSSIAQHyt0+luOUav16OsrAyurq4WfTYmA0REJAn2ahPUTgi0RMeOHZGZmYni4mJ8/fXXiI6ORlpaGkJDQ/Hyyy+L47p27Yo2bdqgf//+OHfuHNq3b1/vOOuDbQIiIqIGIpfLERISgrCwMCQkJKB79+5YunTpTcf26tULAHD27FkAgEajQUFBgcmY2te18wzMjVEqlRZXBQAmA0REJBG1jzC2ZbM5BqMRFRUVNz2WmZkJAGjTpg0AQKvV4vjx4ygsLBTHJCcnQ6lUiq0GrVaLlJQUk+skJyebzEuwBNsEREQkCQYbn1po7bkzZ87EwIED0bZtW1y/fh3r169HamoqduzYgXPnzmH9+vV44okn4Ovri2PHjiEuLg59+vRBt27dAAAREREIDQ3FyJEjsWDBAuh0OsyaNQsxMTHiPIUJEyZg+fLlmDFjBl566SXs2rULmzZtwrZt26yKlckAERFRAygsLMSoUaOQn58PlUqFbt26YceOHXj88ceRm5uLnTt3YsmSJSgtLUVgYCCGDRuGWbNmiec7OjoiKSkJEydOhFarhbu7O6Kjo03WJQgODsa2bdsQFxeHpUuXIiAgAKtXr7bqtkKAyQAREUmEraV+a8/99NNPzR4LDAxEWlraba8RFBSE77///pZj+vbti6NHj1oV218xGSAiIkkwwgFGG9oEtpzb3LXcT0ZEREQWYWWAiIgkwSDIYLChTWDLuc0dkwEiIpKExp4zcCdhMkBERJIg2PjUQsGGc5u7lvvJiIiIyCKsDBARkSQYIIPBhgcV2XJuc8dkgIiIJMEo2Nb3Nwp2DKaZYZuAiIhI4lgZkLgnR11G1KgrUAdWAgB+zXLBusVqHP5vzeM52wRVYPycPNz7YCmc5QIy/uuJFbPuQtFl5zrXcpYbsXTbL2h/bzkmPt4B509a/sQsooaw8QM/fJbgjyHjLmHivN+gv+aIL97T4EiaJwrz5FD5VONvA4oRPSMf7kojAODcSRdsWq7GiYPu0F9zgjqgElGjLuPpcZdNrv3dmlb4bk0rFFyUw8+/EsMnF+DxZ681xcckCxltnEBoy7nNHZMBibuU74zP3mmD37IVkMmAx5+9irlrLiAmogN0uc5458vzOH/KFfHP1jxbO3qGDvPWZmPyk/dA+Eu5beysfFzROaP9veVN8VGITGRlumLbv30RHFom7rta4IwrBc4YPycPbTuUo/CiHMteC8CVAmfM/uQCAODsMTd4tapG/PJf0dq/CqcOu2Pp9EA4OACDX6pJCLau9cWahDaYvDAXHXvcQNZRNyyZHghPlQG9I/RN8XHJAkbIYLSh72/Luc1ds0hzVqxYgbvvvhsuLi7o1asXDh482NQhScaBZBUO7VIiL1uB384rkPivNigvdUCnsFLc++ANqAMrsWhKIC6cccWFM65YOLkt7ulehh4Pl5hc5/5+eoQ9eh2fzPNvok9C9IeyUgf8KzYIUxbmwlNlEPff3akcc1ZfQO8IPfzvrkSPh0swOj4fB5KVMFTXjIl8/iomzv8N3bSlaBNUif7DriHi71fw0w8q8TopX/vgiRevoO/gIrQJqkTfIUUY+OIVbFrh19gflcgumjwZ2LhxI6ZOnYo33ngDR44cQffu3REZGWny/GZqHA4OAh4dfA0KNyNOH3aHs9wICEBV5R/ZcFWFDIIRuPfBUnGfV6sqTFl4EQsmtUVFWZP/SBFh+T8D8GB/PXr2Kbnt2FK9I9w8jHC8RZ209LojPL3+SCqqKmWQuxhNxihcjMjKdEN1Vb3DpgZWuwKhLVtL1eS/ud9//32MHz8eY8aMQWhoKFatWgU3Nzd89tlnTR2aZNzdqQxbfjmOpAvH8Oq7FzFv7N3I+cUFZzLcUX7DAWNfz4fC1QiFqwHj5+TB0Qnw8av9jSdg2pJcbPvCF78cc2vSz0EEAKlbvHD2uCtempl/27HFVxyxfokGA1+8bHbMyUNuSPvOG0+MuCLuC+t7HdvX++KXY64QBOB/P7ti+3pfVFc5oPgqu6/NVe2cAVu2lqpJf2orKyuRkZGBmTNnivscHBwQHh6O9PT0OuMrKipQUVEhvtbr2Zuzh4vnFHjl8Q5w8zTgkSeLMW1pDqYPDUHOLy546//uxqSEixg89jIEI/DfLd41vwCNNRny4LGX4ephwMYPWB6lplf4mzNWzrkLCRvOQe5y6/vASq87YPaodmjboRwj/6G76ZgLZ1zw5ph2eHGqDmF9r4v7R0zR4VqhEyY/2QGCAHi3rkL4s1fx1YdqOLTc7wtqwZo0Gbh8+TIMBgPUarXJfrVajTNnztQZn5CQgDfffLOxwpOM6ioH5F1QAADOHndDxx43MGTcJSyLD8SRNE+M+VtnKH2qYaiWoVTviC8zTyI/Rw4A6PFQCTqH3UDShWMm11z+w/+w61tvvDelbaN/HpKus8fcUHTZGTGRHcV9RoMMx/e747s1rZB04Wc4OgI3Shzw+gvt4epuxBufZsOp7s0x+PV/CsQ/1x4DX7yMF6YUmBxTuAr4x+JcTF6Qi2uXnOGjrsL3//aFm4cBKt/qhv6YVE9G2PhsghY8gfCOqmfNnDkTU6dOFV/r9XoEBgY2YUQtk0wGOMtN/6rS/1767P7QdXi1qsb+H2tuPfxw9l1I/JdGHOerqUbCl+fxzoQgnDnKtgE1rh6PXMdHu0z/kFgU1xaBIeV4LqYQjo41FYHXX2gPZ7mANxPP37SCcCHLBfHPtsfjz17FmNduXjUAACdnoLV/Tcss7T/eeDBcz8pAMybYeDeBwGSgYbRq1QqOjo4oKDDNugsKCqDRaOqMVygUUCgUjRWeJIyZmY9Duzxx6Tc5XD0M6Pd0Ebr9rQSvv9AOABDx96vI+UWB4itO6Bx2AxPn/YbNH7fGxXMuAIBLv8lNrldeWrNeQd6vClzONz1G1NDcPIy4u5Ppra0ubkZ4ehtwd6dylF53wD+fb4+KMgfM+CAbN0occeP3OYYq32o4Ota0BmY82x73972Oof93CVcLa35NOjgK8PKtmUR48ZwCWZlu6HRfKa4XO+Hbj1rjQpYLpi3NadTPS9bhUwvNa9JkQC6XIywsDCkpKRgyZAgAwGg0IiUlBbGxsU0ZmmR4tarG9GU58PGrxo3rjsg+7YLXX2iHI7s9AQAB7csxZmY+PL0MKMh1xpfL1Pj241ZNHDVR/Zw97oYzR9wBAGP+FmpybO2BU9AEVmJPkheKrzgj5RsfpHzjIx5XB1Ti84OnAABGI/DNqta4eC4Qjs4Cuv+tBIv/8ws0vy/eRXSnkQmC0KSrLW/cuBHR0dH46KOP8OCDD2LJkiXYtGkTzpw5U2cuwV/p9XqoVCr0xWA4yW7S9CNqAXbkZTZ1CEQNRn/dCO8O51FcXAylUtkw7/H7d8XTyWPg7F7/imVVaSU2P76mQWNtKk0+Z+Dvf/87Ll26hDlz5kCn06FHjx7Yvn37bRMBIiIia7BNYF6TJwMAEBsby7YAERFRE2kWyQAREVFD47MJzGMyQEREksA2gXm8I5aIiEjiWBkgIiJJYGXAPCYDREQkCUwGzGObgIiISOJYGSAiIklgZcA8JgNERCQJAmy7PbBJl+ttYEwGiIhIElgZMI9zBoiIiCSOlQEiIpIEVgbMYzJARESSwGTAPLYJiIiIJI6VASIikgRWBsxjMkBERJIgCDIINnyh23Juc8c2ARERUQNYuXIlunXrBqVSCaVSCa1Wix9++EE8Xl5ejpiYGPj6+sLDwwPDhg1DQUGByTVycnIQFRUFNzc3+Pn5Yfr06aiurjYZk5qaip49e0KhUCAkJASJiYlWx8pkgIiIJMEImc2bNQICAvDuu+8iIyMDhw8fxmOPPYbBgwfj5MmTAIC4uDhs3boVX331FdLS0pCXl4ehQ4eK5xsMBkRFRaGyshL79u3D2rVrkZiYiDlz5ohjsrOzERUVhX79+iEzMxNTpkzBuHHjsGPHDqtilQmCcMcuqqTX66FSqdAXg+Ekc27qcIgaxI68zKYOgajB6K8b4d3hPIqLi6FUKhvmPX7/rui15VU4uSvqfZ3q0gocGLLMplh9fHywcOFCPPPMM2jdujXWr1+PZ555BgBw5swZdO7cGenp6ejduzd++OEHPPnkk8jLy4NarQYArFq1CvHx8bh06RLkcjni4+Oxbds2nDhxQnyP4cOHo6ioCNu3b7c4LlYGiIiIrKDX6022ioqK255jMBiwYcMGlJaWQqvVIiMjA1VVVQgPDxfHdOrUCW3btkV6ejoAID09HV27dhUTAQCIjIyEXq8Xqwvp6ekm16gdU3sNSzEZICIiSaidQGjLBgCBgYFQqVTilpCQYPY9jx8/Dg8PDygUCkyYMAGbN29GaGgodDod5HI5vLy8TMar1WrodDoAgE6nM0kEao/XHrvVGL1ej7KyMov/2/BuAiIikgR73VqYm5tr0iZQKMy3Hjp27IjMzEwUFxfj66+/RnR0NNLS0uodQ0NhMkBERJJgr1sLa+8OsIRcLkdISAgAICwsDIcOHcLSpUvx97//HZWVlSgqKjKpDhQUFECj0QAANBoNDh48aHK92rsN/jzmr3cgFBQUQKlUwtXV1eLPxjYBERFRIzEajaioqEBYWBicnZ2RkpIiHsvKykJOTg60Wi0AQKvV4vjx4ygsLBTHJCcnQ6lUIjQ0VBzz52vUjqm9hqVYGSAiIkkQbGwTWFtVmDlzJgYOHIi2bdvi+vXrWL9+PVJTU7Fjxw6oVCqMHTsWU6dOhY+PD5RKJSZNmgStVovevXsDACIiIhAaGoqRI0diwYIF0Ol0mDVrFmJiYsTWxIQJE7B8+XLMmDEDL730Enbt2oVNmzZh27ZtVsXKZICIiCRBAGDLzfTWnlpYWIhRo0YhPz8fKpUK3bp1w44dO/D4448DABYvXgwHBwcMGzYMFRUViIyMxIcffiie7+joiKSkJEycOBFarRbu7u6Ijo7GvHnzxDHBwcHYtm0b4uLisHTpUgQEBGD16tWIjIy0KlauM0DUzHGdAWrJGnOdgfu+ngpHt/qvM2C4UYGjz7zfoLE2FVYGiIhIEoyQQWblKoJ/Pb+lYjJARESSwAcVmce7CYiIiCSOlQEiIpIEoyCDzA6LDrVETAaIiEgSBMHGuwnu2On2t8c2ARERkcSxMkBERJLACYTmMRkgIiJJYDJgHpMBIiKSBE4gNI9zBoiIiCSOlQEiIpIE3k1gHpMBIiKShJpkwJY5A3YMpplhm4CIiEjiWBkgIiJJ4N0E5jEZICIiSRB+32w5v6Vim4CIiEjiWBkgIiJJYJvAPCYDREQkDewTmMVkgIiIpMHGygBacGWAcwaIiIgkjpUBIiKSBK5AaB6TASIikgROIDSPbQIiIiKJY2WAiIikQZDZNgmwBVcGmAwQEZEkcM6AeWwTEBERSRwrA0REJA1cdMgsJgNERCQJvJvAPIuSge+++87iCz711FP1DoaIiIgan0XJwJAhQyy6mEwmg8FgsCUeIiKihtOCS/22sCgZMBqNDR0HERFRg2KbwDyb7iYoLy+3VxxEREQNS7DD1kJZnQwYDAbMnz8fd911Fzw8PHD+/HkAwOzZs/Hpp5/aPUAiIiJqWFYnA2+//TYSExOxYMECyOVycX+XLl2wevVquwZHRERkPzI7bC2T1cnA559/jo8//hgjRoyAo6OjuL979+44c+aMXYMjIiKyG7YJzLI6Gfjtt98QEhJSZ7/RaERVVZVdgiIiIqLGY3UyEBoaij179tTZ//XXX+O+++6zS1BERER2x8qAWVYnA3PmzEFsbCz+9a9/wWg04ttvv8X48ePx9ttvY86cOQ0RIxERke1qn1poy2aFhIQEPPDAA/D09ISfnx+GDBmCrKwskzF9+/aFTCYz2SZMmGAyJicnB1FRUXBzc4Ofnx+mT5+O6upqkzGpqano2bMnFAoFQkJCkJiYaFWsVicDgwcPxtatW7Fz5064u7tjzpw5OH36NLZu3YrHH3/c2ssRERG1SGlpaYiJicH+/fuRnJyMqqoqREREoLS01GTc+PHjkZ+fL24LFiwQjxkMBkRFRaGyshL79u3D2rVrkZiYaPLHd3Z2NqKiotCvXz9kZmZiypQpGDduHHbs2GFxrPV6NsEjjzyC5OTk+pxKRETUJBr7Ecbbt283eZ2YmAg/Pz9kZGSgT58+4n43NzdoNJqbXuPHH3/EqVOnsHPnTqjVavTo0QPz589HfHw85s6dC7lcjlWrViE4OBiLFi0CAHTu3Bl79+7F4sWLERkZaVGs9V506PDhw/jiiy/wxRdfICMjo76XISIiahx2mjOg1+tNtoqKCovevri4GADg4+Njsn/dunVo1aoVunTpgpkzZ+LGjRvisfT0dHTt2hVqtVrcFxkZCb1ej5MnT4pjwsPDTa4ZGRmJ9PR0i+IC6lEZuHjxIp5//nn89NNP8PLyAgAUFRXhb3/7GzZs2ICAgABrL0lERHTHCAwMNHn9xhtvYO7cubc8x2g0YsqUKXjooYfQpUsXcf8LL7yAoKAg+Pv749ixY4iPj0dWVha+/fZbAIBOpzNJBACIr3U63S3H6PV6lJWVwdXV9bafyepkYNy4caiqqsLp06fRsWNHAEBWVhbGjBmDcePG1SmLEBERNQv1mARY53wAubm5UCqV4m6FQnHbU2NiYnDixAns3bvXZP/LL78s/rtr165o06YN+vfvj3PnzqF9+/b1j9VKVicDaWlp2Ldvn5gIAEDHjh3xwQcf4JFHHrFrcERERPYiE2o2W84HAKVSaZIM3E5sbCySkpKwe/fu21bPe/XqBQA4e/Ys2rdvD41Gg4MHD5qMKSgoAABxnoFGoxH3/XmMUqm0qCoA1GPOQGBg4E0XFzIYDPD397f2ckRERI2jkdcZEAQBsbGx2Lx5M3bt2oXg4ODbnpOZmQkAaNOmDQBAq9Xi+PHjKCwsFMckJydDqVQiNDRUHJOSkmJyneTkZGi1WotjtToZWLhwISZNmoTDhw+L+w4fPozJkyfjvffes/ZyRERELVJMTAz+/e9/Y/369fD09IROp4NOp0NZWRkA4Ny5c5g/fz4yMjJw4cIFfPfddxg1ahT69OmDbt26AQAiIiIQGhqKkSNH4ueff8aOHTswa9YsxMTEiO2JCRMm4Pz585gxYwbOnDmDDz/8EJs2bUJcXJzFscoE4fY3S3h7e0Mm+6PPUlpaiurqajg51XQZav/t7u6Oq1evWv5fykZ6vR4qlQp9MRhOMudGe1+ixrQjL7OpQyBqMPrrRnh3OI/i4mKrSu9Wvcfv3xWBi+fDwdWl3tcxlpUjN262xbH++Xvzz9asWYPRo0cjNzcXL774Ik6cOIHS0lIEBgbi6aefxqxZs0yu/+uvv2LixIlITU2Fu7s7oqOj8e6774rfwUDNokNxcXE4deoUAgICMHv2bIwePdriz2bRnIElS5ZYfEEiIqJmydYlhevRJriVwMBApKWl3fY6QUFB+P777285pm/fvjh69KhV8f2ZRclAdHR0vd+AiIiImrd6rUBYq7y8HJWVlSb7GqrMQ0REZJNGrgzcSayeQFhaWorY2Fj4+fnB3d0d3t7eJhsREVGzxKcWmmV1MjBjxgzs2rULK1euhEKhwOrVq/Hmm2/C398fn3/+eUPESERERA3I6jbB1q1b8fnnn6Nv374YM2YMHnnkEYSEhCAoKAjr1q3DiBEjGiJOIiIi29hpBcKWyOrKwNWrV9GuXTsANfMDam8lfPjhh7F79277RkdERGQntSsQ2rK1VFYnA+3atUN2djYAoFOnTti0aROAmopB7YOLiIiI6M5hdTIwZswY/PzzzwCA1157DStWrICLiwvi4uIwffp0uwdIRERkF5xAaJbVcwb+vLxheHg4zpw5g4yMDISEhIjLJxIREdGdw6Z1BoCalZGCgoLsEQsREVGDkcHGpxbaLZLmx6JkYNmyZRZf8NVXX613MERERNT4LEoGFi9ebNHFZDJZkyQDxoe7wehU/4dPEDVn667nNnUIRA2mrKS68d6MtxaaZVEyUHv3ABER0R2LyxGbZfXdBERERNSy2DyBkIiI6I7AyoBZTAaIiEgSbF1FkCsQEhERUYvFygAREUkD2wRm1asysGfPHrz44ovQarX47bffAABffPEF9u7da9fgiIiI7IbLEZtldTLwzTffIDIyEq6urjh69CgqKioAAMXFxXjnnXfsHiARERE1LKuTgbfeegurVq3CJ598AmdnZ3H/Qw89hCNHjtg1OCIiInvhI4zNs3rOQFZWFvr06VNnv0qlQlFRkT1iIiIisj+uQGiW1ZUBjUaDs2fP1tm/d+9etGvXzi5BERER2R3nDJhldTIwfvx4TJ48GQcOHIBMJkNeXh7WrVuHadOmYeLEiQ0RIxERETUgq9sEr732GoxGI/r3748bN26gT58+UCgUmDZtGiZNmtQQMRIREdmMiw6ZZ3UyIJPJ8Prrr2P69Ok4e/YsSkpKEBoaCg8Pj4aIj4iIyD64zoBZ9V50SC6XIzQ01J6xEBERUROwOhno168fZDLzMyp37dplU0BEREQNwtbbA1kZ+EOPHj1MXldVVSEzMxMnTpxAdHS0veIiIiKyL7YJzLI6GVi8ePFN98+dOxclJSU2B0RERESNy25PLXzxxRfx2Wef2etyRERE9sV1Bsyy21ML09PT4eLiYq/LERER2RVvLTTP6mRg6NChJq8FQUB+fj4OHz6M2bNn2y0wIiIiahxWJwMqlcrktYODAzp27Ih58+YhIiLCboERERFR47AqGTAYDBgzZgy6du0Kb2/vhoqJiIjI/ng3gVlWTSB0dHREREQEn05IRER3HD7C2Dyr7ybo0qULzp8/3xCxEBERUROwOhl46623MG3aNCQlJSE/Px96vd5kIyIiarYa8bbChIQEPPDAA/D09ISfnx+GDBmCrKwskzHl5eWIiYmBr68vPDw8MGzYMBQUFJiMycnJQVRUFNzc3ODn54fp06ejurraZExqaip69uwJhUKBkJAQJCYmWhWrxcnAvHnzUFpaiieeeAI///wznnrqKQQEBMDb2xve3t7w8vLiPAIiImq+GnmdgbS0NMTExGD//v1ITk5GVVUVIiIiUFpaKo6Ji4vD1q1b8dVXXyEtLQ15eXkmd+0ZDAZERUWhsrIS+/btw9q1a5GYmIg5c+aIY7KzsxEVFYV+/fohMzMTU6ZMwbhx47Bjxw6LY5UJgmDRx3N0dER+fj5Onz59y3GPPvqoxW9uK71eD5VKhT4Pz4aTE9c4oJZp9MffNXUIRA2mrKQa/9czA8XFxVAqlQ3yHrXfFSHx78BRUf/vCkNFOc7+65/1jvXSpUvw8/NDWloa+vTpg+LiYrRu3Rrr16/HM888AwA4c+YMOnfujPT0dPTu3Rs//PADnnzySeTl5UGtVgMAVq1ahfj4eFy6dAlyuRzx8fHYtm0bTpw4Ib7X8OHDUVRUhO3bt1sUm8V3E9TmDI35ZU9ERGQv9lp06K8tcYVCAYVCcdvzi4uLAQA+Pj4AgIyMDFRVVSE8PFwc06lTJ7Rt21ZMBtLT09G1a1cxEQCAyMhITJw4ESdPnsR9992H9PR0k2vUjpkyZYrFn82qOQO3elohERFRs2anNkFgYCBUKpW4JSQk3PatjUYjpkyZgoceeghdunQBAOh0Osjlcnh5eZmMVavV0Ol04pg/JwK1x2uP3WqMXq9HWVnZbWMDrFxnoEOHDrdNCK5evWrNJYmIiO4oubm5Jm0CS6oCMTExOHHiBPbu3duQodWbVcnAm2++WWcFQiIiojuBvdoESqXSqjkDsbGxSEpKwu7duxEQECDu12g0qKysRFFRkUl1oKCgABqNRhxz8OBBk+vV3m3w5zF/vQOhoKAASqUSrq6uFsVoVTIwfPhw+Pn5WXMKERFR89DIKxAKgoBJkyZh8+bNSE1NRXBwsMnxsLAwODs7IyUlBcOGDQMAZGVlIScnB1qtFgCg1Wrx9ttvo7CwUPz+TU5OhlKpRGhoqDjm+++/N7l2cnKyeA1LWJwMcL4AERGR5WJiYrB+/Xr85z//gaenp9jjV6lUcHV1hUqlwtixYzF16lT4+PhAqVRi0qRJ0Gq16N27NwAgIiICoaGhGDlyJBYsWACdTodZs2YhJiZGbE9MmDABy5cvx4wZM/DSSy9h165d2LRpE7Zt22ZxrFbfTUBERHRHauTKwMqVKwEAffv2Ndm/Zs0ajB49GgCwePFiODg4YNiwYaioqEBkZCQ+/PBDcayjoyOSkpIwceJEaLVauLu7Izo6GvPmzRPHBAcHY9u2bYiLi8PSpUsREBCA1atXIzIy0uJYLU4GjEajxRclIiJqbuw1Z8BSlvwR7eLighUrVmDFihVmxwQFBdVpA/xV3759cfToUesC/BOrH2FMRER0R+JTC82y+tkERERE1LKwMkBERNLAyoBZTAaIiEgSGnvOwJ2EbQIiIiKJY2WAiIikgW0Cs5gMEBGRJLBNYB7bBERERBLHygAREUkD2wRmMRkgIiJpYDJgFtsEREREEsfKABERSYLs982W81sqJgNERCQNbBOYxWSAiIgkgbcWmsc5A0RERBLHygAREUkD2wRmMRkgIiLpaMFf6LZgm4CIiEjiWBkgIiJJ4ARC85gMEBGRNHDOgFlsExAREUkcKwNERCQJbBOYx2SAiIikgW0Cs9gmICIikjhWBoiISBLYJjCPyQAREUkD2wRmMRkgIiJpYDJgFucMEBERSRwrA0REJAmcM2AekwEiIpIGtgnMYpuAiIhI4lgZICIiSZAJAmRC/f+8t+Xc5o7JABERSQPbBGaxTUBERCRxrAwQEZEk8G4C85gMEBGRNLBNYBbbBERERBLHygAREUkC2wTmsTJARETSINhhs8Lu3bsxaNAg+Pv7QyaTYcuWLSbHR48eDZlMZrINGDDAZMzVq1cxYsQIKJVKeHl5YezYsSgpKTEZc+zYMTzyyCNwcXFBYGAgFixYYF2gYDJAREQSUVsZsGWzRmlpKbp3744VK1aYHTNgwADk5+eL25dffmlyfMSIETh58iSSk5ORlJSE3bt34+WXXxaP6/V6REREICgoCBkZGVi4cCHmzp2Ljz/+2KpY2SYgIiKygl6vN3mtUCigUCjqjBs4cCAGDhx4y2spFApoNJqbHjt9+jS2b9+OQ4cO4f777wcAfPDBB3jiiSfw3nvvwd/fH+vWrUNlZSU+++wzyOVy3HvvvcjMzMT7779vkjTcDisDREQkDXZqEwQGBkKlUolbQkJCvUNKTU2Fn58fOnbsiIkTJ+LKlSvisfT0dHh5eYmJAACEh4fDwcEBBw4cEMf06dMHcrlcHBMZGYmsrCxcu3bN4jhYGSAiIsmwxyTA3NxcKJVK8fXNqgKWGDBgAIYOHYrg4GCcO3cO//znPzFw4ECkp6fD0dEROp0Ofn5+Juc4OTnBx8cHOp0OAKDT6RAcHGwyRq1Wi8e8vb0tioXJABERkRWUSqVJMlBfw4cPF//dtWtXdOvWDe3bt0dqair69+9v8/WtwTYBERFJgyDYvjWgdu3aoVWrVjh79iwAQKPRoLCw0GRMdXU1rl69Ks4z0Gg0KCgoMBlT+9rcXISbYTJARESS0Nh3E1jr4sWLuHLlCtq0aQMA0Gq1KCoqQkZGhjhm165dMBqN6NWrlzhm9+7dqKqqEsckJyejY8eOFrcIACYDREREDaKkpASZmZnIzMwEAGRnZyMzMxM5OTkoKSnB9OnTsX//fly4cAEpKSkYPHgwQkJCEBkZCQDo3LkzBgwYgPHjx+PgwYP46aefEBsbi+HDh8Pf3x8A8MILL0Aul2Ps2LE4efIkNm7ciKVLl2Lq1KlWxco5A0REJA2N/GyCw4cPo1+/fuLr2i/o6OhorFy5EseOHcPatWtRVFQEf39/REREYP78+SYTEtetW4fY2Fj0798fDg4OGDZsGJYtWyYeV6lU+PHHHxETE4OwsDC0atUKc+bMseq2QoDJABERSYTMWLPZcr41+vbtC+EW8wx27Nhx22v4+Phg/fr1txzTrVs37Nmzx7rg/oJtAiIiIoljZUBiunbS4dknT6BDuyvw9S7DG4v6Yd/hIPH4ww/8iifDs3BP8BUoPSsw4bVBOPerr3jc070Co549irCuefBrVYpivQt+OtwWiZvuw42ymkUvPD3KMTN2N9q1vQZPjwoU6V2QfrgtPtvYUxxD1FCy1rsj60sPlP5W8+tNdU8Vur+ix12PlqPkoiO+7e9/0/P6LLmMuweWAQBK8hxxYK43dAcUcHYT0G5IKXr+oxgON/mNWZghx46RfvC6pwqD/lNQdwA1H3yEsVlMBiTGRVGN8zk+2JF6D+b+4783PX4iyw9p++/G1Jf31Tnu630Dvl5l+HjdA/j1ogrq1qWYPDYdvt43MH9JTW9MEGTYd7gtEjf1RJHeBXep9Ygdsx+TPSqQsPzRBv+MJG1uGgN6TiuGMqgaEIBzW9zx35hWeHKzDsp21Xh2728m4/+30QMnP/XEXX3KAQBGA7Dr/1rBtZURAzcUoqzQEXvjfeDgDPScWmxybqVehr3xvtBoy1F+2bHRPiPVD59aaF6TJgO7d+/GwoULkZGRgfz8fGzevBlDhgxpypBavEM/B+DQzwFmj+/c2x4AoG51/abHL1z0xrwlf0yIyS9UYs3GnoiP2Q0HByOMRgeUlCqQtLOTOKbwsge2JnfCs4NO2OlTEJkX+Fi5yev74oqR9aU7LmUq4HVPNVxbmzZ+c3a64u6BN+DsXvObPn+vC4rPOuPxNXlwbWUEOlehx+RiHHnPC91ji+H4p+LW/jd8EPxkKWSOQO5O1wb/bGQjW9cKaOB1BppSk84ZsOSJTtT8ubtV4kaZM4zGm/84+XrfwMMP/opjpy1fAIPIHowGIHubK6pvOKD1fRV1jl854Yxrp+UIeaZU3HcpUw6vDlU1icDv/B8uR1WJA4rOOov7zn7jjuu5jugea/rQGqI7UZNWBix5otOfVVRUoKLij/+h//rkKGp8Ss9yjHj6Z3yf0rHOsX9OSoM2LAcuCgPSMwLx/sd/a4IISYquZTnjh+F+MFTI4OQmoO+Ky/AKqa4z7pevPaBqXwW/npXivrLLjnBpZTAZV5sYlF9yBFAF/QUnHFmkwoB1hTedR0DNE9sE5t1RdxMkJCSYPCkqMDCwqUOSNDfXSrw1Yyd+/c0Ln3/To87xlZ8/gFf+OQhz3nsMbdTXMWHkocYPkiRJGVyFJ7cU4IlNBej4fAl+ivdB0VnTb+3qchmyk9xMqgKWMBqAPf/wRfdJxVAG100wqBmz01MLW6I7KhmYOXMmiouLxS03N7epQ5IsV5cqvPNaMsrKnDH3/X4wGOr+KF0rdkNunhfSM9piyWotnno8Cz5eN5ogWpIaRzmgDKqGb5cq9PxHMbw7VeH0554mY37d7gpDuQzth5gmA66tDHUmA5Zdrvn5dmltQHWpDFdOyHFwvje+CA3AF6EBOLZCiWtn5PgiNAD56fV7gh1RU7qjClwKhaLej4ok+3FzrUTCa8moqnbAnPf6o6rq9j9GDr/X15ydDLcZSdQAjICxUmay6+w37gh4rAwuPqYTClv3qMTxVUqUXXGAq2/Nsfx9LnD2MMIrpAoOTsCgrTqTc7LWe0C3X4FHl12BRwCrBc0V2wTm3VHJANnORVGFuzR/zLXQtC5B+6Ar0JcocOmKBzzdK+DXqgS+3jX3Wwe0qRl7tcgV14rd4OZaiXdn/giFwoB3F/WDm2sl3Fxr+q3FehcYBQc82OMivFVlyDrXCmXlTggKLMLLLxzGiTN+KLjsWTcoIjs6skiFu/qUw71NNapKHZCd5AbdQQXCP70kjtH/6oSCQwr0//hynfPbPFwOVUgV9s7wQdj0YpRdckTmEhU6jigR7yTw7lBlco6LrwGOCqHOfmpmeDeBWUwGJKZDu8tYNOePJTAnjqrp4/+Y1h4LVz0CbVgOpk/8STw+a3IaAODzr7vji2/uQ8jdV9D5nppfoJ8v/dbk2i9OGoaCy56oqHTEwMf+hwkjD8LZ2YhLV9yx92BbbPiua0N/PCKUX3HA3ngflBU6Qu5phFfHKoR/egn+D/0x+fjsN+5w0xjg/3B5nfMdHIHHVl3Ggbne+OHvfnByFdD+6VL0eLW4zliilkIm3Grh5AZWUlIiPrf5vvvuw/vvv49+/frBx8cHbdu2ve35er0eKpUKfR6eDScnl4YOl6hJjP74u6YOgajBlJVU4/96ZqC4uBhKpbJB3qP2u0I7cB6cnOv/XVFdVY70H+Y0aKxNpUkrA7d6olNiYmITRUVERC0SlyM2q0mTgds90YmIiIgaHucMEBGRJPBuAvOYDBARkTQYhZrNlvNbKCYDREQkDZwzYNYdtQIhERER2R8rA0REJAky2DhnwG6RND9MBoiISBq4AqFZbBMQERFJHCsDREQkCby10DwmA0REJA28m8AstgmIiIgkjpUBIiKSBJkgQGbDJEBbzm3umAwQEZE0GH/fbDm/hWKbgIiISOJYGSAiIklgm8A8JgNERCQNvJvALCYDREQkDVyB0CzOGSAiIpI4VgaIiEgSuAKheUwGiIhIGtgmMIttAiIiIoljZYCIiCRBZqzZbDm/pWIyQERE0sA2gVlsExAREUkckwEiIpIGwQ6bFXbv3o1BgwbB398fMpkMW7ZsMQ1HEDBnzhy0adMGrq6uCA8Pxy+//GIy5urVqxgxYgSUSiW8vLwwduxYlJSUmIw5duwYHnnkEbi4uCAwMBALFiywLlAwGSAiIomoXY7Yls0apaWl6N69O1asWHHT4wsWLMCyZcuwatUqHDhwAO7u7oiMjER5ebk4ZsSIETh58iSSk5ORlJSE3bt34+WXXxaP6/V6REREICgoCBkZGVi4cCHmzp2Ljz/+2KpYOWeAiIjICnq93uS1QqGAQqGoM27gwIEYOHDgTa8hCAKWLFmCWbNmYfDgwQCAzz//HGq1Glu2bMHw4cNx+vRpbN++HYcOHcL9998PAPjggw/wxBNP4L333oO/vz/WrVuHyspKfPbZZ5DL5bj33nuRmZmJ999/3yRpuB1WBoiISBpqJxDasgEIDAyESqUSt4SEBKtDyc7Ohk6nQ3h4uLhPpVKhV69eSE9PBwCkp6fDy8tLTAQAIDw8HA4ODjhw4IA4pk+fPpDL5eKYyMhIZGVl4dq1axbHw8oAERFJgwDAltsDf+8S5ObmQqlUirtvVhW4HZ1OBwBQq9Um+9VqtXhMp9PBz8/P5LiTkxN8fHxMxgQHB9e5Ru0xb29vi+JhMkBERJJgr0cYK5VKk2SgJWCbgIiIqJFpNBoAQEFBgcn+goIC8ZhGo0FhYaHJ8erqaly9etVkzM2u8ef3sASTASIikgYBNs4ZsF8owcHB0Gg0SElJEffp9XocOHAAWq0WAKDValFUVISMjAxxzK5du2A0GtGrVy9xzO7du1FVVSWOSU5ORseOHS1uEQBMBoiISCrsNIHQUiUlJcjMzERmZiaAmkmDmZmZyMnJgUwmw5QpU/DWW2/hu+++w/HjxzFq1Cj4+/tjyJAhAIDOnTtjwIABGD9+PA4ePIiffvoJsbGxGD58OPz9/QEAL7zwAuRyOcaOHYuTJ09i48aNWLp0KaZOnWpVrJwzQERE1AAOHz6Mfv36ia9rv6Cjo6ORmJiIGTNmoLS0FC+//DKKiorw8MMPY/v27XBxcRHPWbduHWJjY9G/f384ODhg2LBhWLZsmXhcpVLhxx9/RExMDMLCwtCqVSvMmTPHqtsKASYDREQkFUYAMhvPt0Lfvn0h3KKaIJPJMG/ePMybN8/sGB8fH6xfv/6W79OtWzfs2bPHuuD+gskAERFJgr3uJmiJOGeAiIhI4lgZICIiaeAjjM1iMkBERNLAZMAstgmIiIgkjpUBIiKSBlYGzGIyQERE0tDItxbeSZgMEBGRJPDWQvM4Z4CIiEjiWBkgIiJp4JwBs5gMEBGRNBgFQGbDF7qx5SYDbBMQERFJHCsDREQkDWwTmMVkgIiIJMLGZAAtNxlgm4CIiEjiWBkgIiJpYJvALCYDREQkDUYBNpX6eTcBERERtVSsDBARkTQIxprNlvNbKCYDREQkDZwzYBaTASIikgbOGTCLcwaIiIgkjpUBIiKSBrYJzGIyQERE0iDAxmTAbpE0O2wTEBERSRwrA0REJA1sE5jFZICIiKTBaARgw1oBxpa7zgDbBERERBLHygAREUkD2wRmMRkgIiJpYDJgFtsEREREEsfKABERSQOXIzaLyQAREUmCIBgh2PDkQVvObe6YDBARkTQIgm1/3XPOABEREbVUrAwQEZE0CDbOGWjBlQEmA0REJA1GIyCzoe/fgucMsE1ARETUAObOnQuZTGayderUSTxeXl6OmJgY+Pr6wsPDA8OGDUNBQYHJNXJychAVFQU3Nzf4+flh+vTpqK6utnusrAwQEZE0NEGb4N5778XOnTvF105Of3ztxsXFYdu2bfjqq6+gUqkQGxuLoUOH4qeffgIAGAwGREVFQaPRYN++fcjPz8eoUaPg7OyMd955p/6f4yaYDBARkSQIRiMEG9oE9bm10MnJCRqNps7+4uJifPrpp1i/fj0ee+wxAMCaNWvQuXNn7N+/H71798aPP/6IU6dOYefOnVCr1ejRowfmz5+P+Ph4zJ07F3K5vN6f5a/YJiAiIrKCXq832SoqKsyO/eWXX+Dv74927dphxIgRyMnJAQBkZGSgqqoK4eHh4thOnTqhbdu2SE9PBwCkp6eja9euUKvV4pjIyEjo9XqcPHnSrp+JyQAREUlD7bMJbNkABAYGQqVSiVtCQsJN365Xr15ITEzE9u3bsXLlSmRnZ+ORRx7B9evXodPpIJfL4eXlZXKOWq2GTqcDAOh0OpNEoPZ47TF7YpuAiIikwSgAMtvnDOTm5kKpVIq7FQrFTYcPHDhQ/He3bt3Qq1cvBAUFYdOmTXB1da1/HA2AlQEiIiIrKJVKk81cMvBXXl5e6NChA86ePQuNRoPKykoUFRWZjCkoKBDnGGg0mjp3F9S+vtk8BFswGSAiImkQhJq1Auq92bboUElJCc6dO4c2bdogLCwMzs7OSElJEY9nZWUhJycHWq0WAKDVanH8+HEUFhaKY5KTk6FUKhEaGmpTLH/FNgEREUmCYBQg2NAmEKxMBqZNm4ZBgwYhKCgIeXl5eOONN+Do6Ijnn38eKpUKY8eOxdSpU+Hj4wOlUolJkyZBq9Wid+/eAICIiAiEhoZi5MiRWLBgAXQ6HWbNmoWYmBiLqxGWYjJARETSIBgBNN4KhBcvXsTzzz+PK1euoHXr1nj44Yexf/9+tG7dGgCwePFiODg4YNiwYaioqEBkZCQ+/PBD8XxHR0ckJSVh4sSJ0Gq1cHd3R3R0NObNm1f/z2AGkwEiIqIGsGHDhlsed3FxwYoVK7BixQqzY4KCgvD999/bO7Q6mAwQEZEkNHab4E7CZICIiKShkdsEd5I7OhmozdKqq82v/kR0pysrsf9DSYiai7ISA4DG+au7GlU2PZqgGlX2C6aZkQl3cN3j4sWLCAwMbOowiIjIRrm5uQgICGiQa5eXlyM4ONguq/ZpNBpkZ2fDxcXFDpE1H3d0MmA0GpGXlwdPT0/IZLKmDkcS9Ho9AgMD66zARdQS8Oe78QmCgOvXr8Pf3x8ODg239E15eTkqKyttvo5cLm9xiQBwh7cJHBwcGiyTpFurXXmLqCXiz3fjUqlUDf4eLi4uLfJL3F64AiEREZHEMRkgIiKSOCYDZBWFQoE33njD7kthEjUH/PkmqbqjJxASERGR7VgZICIikjgmA0RERBLHZICIiEjimAwQERFJHJMBstiKFStw9913w8XFBb169cLBgwebOiQiu9i9ezcGDRoEf39/yGQybNmypalDImpUTAbIIhs3bsTUqVPxxhtv4MiRI+jevTsiIyNRWFjY1KER2ay0tBTdu3e/5XPliVoy3lpIFunVqxceeOABLF++HEDNcyECAwMxadIkvPbaa00cHZH9yGQybN68GUOGDGnqUIgaDSsDdFuVlZXIyMhAeHi4uM/BwQHh4eFIT09vwsiIiMgemAzQbV2+fBkGgwFqtdpkv1qttssjQYmIqGkxGSAiIpI4JgN0W61atYKjoyMKCgpM9hcUFECj0TRRVEREZC9MBui25HI5wsLCkJKSIu4zGo1ISUmBVqttwsiIiMgenJo6ALozTJ06FdHR0bj//vvx4IMPYsmSJSgtLcWYMWOaOjQim5WUlODs2bPi6+zsbGRmZsLHxwdt27ZtwsiIGgdvLSSLLV++HAsXLoROp0OPHj2wbNky9OrVq6nDIrJZamoq+vXrV2d/dHQ0EhMTGz8gokbGZICIiEjiOGeAiIhI4pgMEBERSRyTASIiIoljMkBERCRxTAaIiIgkjskAERGRxDEZICIikjgmA0RERBLHZIDIRqNHj8aQIUPE13379sWUKVMaPY7U1FTIZDIUFRWZHSOTybBlyxaLrzl37lz06NHDprguXLgAmUyGzMxMm65DRA2HyQC1SKNHj4ZMJoNMJoNcLkdISAjmzZuH6urqBn/vb7/9FvPnz7dorCVf4EREDY0PKqIWa8CAAVizZg0qKirw/fffIyYmBs7Ozpg5c2adsZWVlZDL5XZ5Xx8fH7tch4iosbAyQC2WQqGARqNBUFAQJk6ciPDwcHz33XcA/ijtv/322/D390fHjh0BALm5uXjuuefg5eUFHx8fDB48GBcuXBCvaTAYMHXqVHh5ecHX1xczZszAXx/v8dc2QUVFBeLj4xEYGAiFQoGQkBB8+umnuHDhgvhwHG9vb8hkMowePRpAzSOiExISEBwcDFdXV3Tv3h1ff/21yft8//336NChA1xdXdGvXz+TOC0VHx+PDh06wM3NDe3atcPs2bNRVVVVZ9xHH32EwMBAuLm54bnnnkNxcbHJ8dWrV6Nz585wcXFBp06d8OGHH1odCxE1HSYDJBmurq6orKwUX6ekpCArKwvJyclISkpCVVUVIiMj4enpiT179uCnn36Ch4cHBgwYIJ63aNEiJCYm4rPPPsPevXtx9epVbN68+ZbvO2rUKHz55ZdYtmwZTp8+jY8++ggeHh4IDAzEN998AwDIyspCfn4+li5dCgBISEjA559/jlWrVuHkyZOIi4vDiy++iLS0NAA1ScvQoUMxaNAgZGZmYty4cXjttdes/m/i6emJxMREnDp1CkuXLsUnn3yCxYsXm4w5e/YsNm3ahK1bt2L79u04evQoXnnlFfH4unXrMGfOHLz99ts4ffo03nnnHcyePRtr1661Oh4iaiICUQsUHR0tDB48WBAEQTAajUJycrKgUCiEadOmicfVarVQUVEhnvPFF18IHTt2FIxGo7ivoqJCcHV1FXbs2CEIgiC0adNGWLBggXi8qqpKCAgIEN9LEATh0UcfFSZPniwIgiBkZWUJAITk5OSbxvnf//5XACBcu3ZN3FdeXi64ubkJ+/btMxk7duxY4fnnnxcEQRBmzpwphIaGmhyPj4+vc62/AiBs3rzZ7PGFCxcKYWFh4us33nhDcHR0FC5evCju++GHHwQHBwchPz9fEARBaN++vbB+/XqT68yfP1/QarWCIAhCdna2AEA4evSo2fcloqbFOQPUYiUlJcHDwwNVVVUwGo144YUXMHfuXPF4165dTeYJ/Pzzzzh79iw8PT1NrlNeXo5z586huLgY+fn56NWrl3jMyckJ999/f51WQa3MzEw4Ojri0UcftTjus2fP4saNG3j88cdN9ldWVuK+++4DAJw+fdokDgDQarUWv0etjRs3YtmyZTh37hxKSkpQXV0NpVJpMqZt27a46667TN7HaDQiKysLnp6eOHfuHMaOHYvx48eLY6qrq6FSqayOh4iaBpMBarH69euHlStXQi6Xw9/fH05Opj/u7u7uJq9LSkoQFhaGdevW1blW69at6xWDq6ur1eeUlJQAALZt22byJQzUzIOwl/T0dIwYMQJvvvkmIiMjoVKpsGHDBixatMjqWD/55JM6yYmjo6PdYiWihsVkgFosd3d3hISEWDy+Z8+e2LhxI/z8/Or8dVyrTZs2OHDgAPr06QOg5i/gjIwM9OzZ86bju3btCqPRiLS0NISHh9c5XluZMBgM4r7Q0FAoFArk5OSYrSh07txZnAxZa//+/bf/kH+yb98+BAUF4fXXXxf3/frrr3XG5eTkIC8vD/7+/uL7ODg4oGPHjlCr1fD398f58+cxYsQIq96fiJoPTiAk+t2IESPQqlUrDB48GHv27EF2djZSU1Px6quv4uLFiwCAyZMn491338WWLVtw5swZvPLKK7dcI+Duu+9GdHQ0XnrpJWzZskW85qZNmwAAQUFBkMlkSEpKwqVLl1BSUgJPT09MmzYNcXFxWLt2Lc6dO4cjR47ggw8+ECflTZgwAb/88gumT5+OrKwsrF+/HomJiVZ93nvuuQc5OTnYsGEDzp07h2XLlt10MqSLiwuio6Px888/Y8+ePXj11Vfx3HPPQaPRAADefPNNJCQkYNmyZfjf//6H48ePY82aNXj//fetioeImg6TAaLfubm5Yffu3Wjbti2GDh2Kzp07Y+zYsSgvLxcrBf/4xz8wcuRIREdHQ6vVwtPTE08//fQtr7ty5Uo888wzeOWVV9CpUyeMHz8epaWlAIC77roLb775Jl577TWo1WrExsYCAObPn4/Zs2cjISEBnTt3xoABA7Bt2zYEBwcDqOnjf/PNN9iyZQu6d++OVatW4Z133rHq8z711FOIi4tDbGwsevTogX379mH27Nl1xoWEhGDo0KF44oknEBERgW7dupncOjhu3DisXr0aa9asQdeuXfHoo48iMTFRjJWImj+ZYG7mExEREUkCKwNEREQSx2SAiIhI4pgMEBERSRyTASIiIoljMkBERCRxTAaIiIgkjskAERGRxDEZICIikjgmA0RERBLHZICIiEjimAwQERFJ3P8DuFLOvC+koxcAAAAASUVORK5CYII=\n"},"metadata":{}}]},{"cell_type":"markdown","source":["#### XGBoost"],"metadata":{"id":"apLku5qH3k0K"}},{"cell_type":"code","source":["from xgboost import XGBClassifier as crdcd_fdxggb\n","\n","crd_par = { 'n_estimators': [10,20,30,40,50],\n","               'learning_rate': [0.1,0.2,0.3,0.4,0.5],\n","            'subsample':[0.2,0.3,0.4,0.5,0.6]}\n","\n","\n","crd_par_bs = crdcd_fdxggb(random_state=33)\n","crd_par_bs = crdcd_fdgshc(crd_par_bs, crd_par, cv=2, verbose=1)\n","crd_par_bs.fit(crdcd_fd_i_Xnt.sample(1000, random_state=33), crdcd_fd_o_Ynt.sample(1000, random_state=33))\n","\n","print( crd_par_bs.best_params_)\n","print(\"credit card-score: \", crd_par_bs.best_score_)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"HOttPa3k4A9W","executionInfo":{"status":"ok","timestamp":1693157006518,"user_tz":-330,"elapsed":14707,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"b7519a40-d071-46f5-8b99-0cb46de69ac0"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Fitting 2 folds for each of 125 candidates, totalling 250 fits\n","{'learning_rate': 0.1, 'n_estimators': 50, 'subsample': 0.6}\n","credit card-score:  0.732\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_MC= crdcd_fdxggb(learning_rate= 0.1, n_estimators= 50, subsample=0.6 )\n","crdcd_fd_MC.fit(crdcd_fd_i_Xnt, crdcd_fd_o_Ynt)\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","print(\"Duration for Training:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Ha9zd-d742M3","executionInfo":{"status":"ok","timestamp":1693157044670,"user_tz":-330,"elapsed":8718,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"735ee5d7-1109-4dea-a7d2-93fb58bb8f74"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Duration for Training: 8.823252201080322\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_MC.predict(crdcd_fd_i_Xdv)\n","print(crdcd_fdclfrt(crdcd_fd_o_Ydv, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Ydv, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for validation:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"RsUqfzeIrOAu","executionInfo":{"status":"ok","timestamp":1693157061953,"user_tz":-330,"elapsed":616,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"ec78e181-41e7-4b64-f16c-f8bb54cdfe97"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.77      0.82      0.79      4685\n","           1       0.81      0.76      0.78      4765\n","\n","    accuracy                           0.79      9450\n","   macro avg       0.79      0.79      0.79      9450\n","weighted avg       0.79      0.79      0.79      9450\n","\n","Duration for validation: 0.056966304779052734\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_MC.predict(crdcd_fd_i_Xst)\n","print(crdcd_fdclfrt(crdcd_fd_o_Yst, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Yst, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for test:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"3PijfkLW5Rrd","executionInfo":{"status":"ok","timestamp":1693157067215,"user_tz":-330,"elapsed":887,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"fa79acf8-df69-4f20-a8ba-81b83a979bce"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.76      0.80      0.78      4623\n","           1       0.80      0.76      0.78      4827\n","\n","    accuracy                           0.78      9450\n","   macro avg       0.78      0.78      0.78      9450\n","weighted avg       0.78      0.78      0.78      9450\n","\n","Duration for test: 0.0783240795135498\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["#### SVM"],"metadata":{"id":"94zS3uRy5bLo"}},{"cell_type":"code","source":["from sklearn.svm import SVC as crdcd_fdsvv\n","\n","crd_par = { 'kernel':['linear','poly','sigmoid','rbf'],\n","              'gamma': ['scale','auto'],\n","               'tol': [1e-3,1e-4,1e-5,1e-6,1e-7],\n","            'C':[4.0,5.0,6.0,7.0,8.0]}\n","\n","\n","crd_par_bs = crdcd_fdsvv(random_state=33)\n","crd_par_bs = crdcd_fdgshc(crd_par_bs, crd_par, cv=2, verbose=1)\n","crd_par_bs.fit(crdcd_fd_i_Xnt.sample(20, random_state=33), crdcd_fd_o_Ynt.sample(20, random_state=33))\n","\n","print( crd_par_bs.best_params_)\n","print(\"credit card-score: \", crd_par_bs.best_score_)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"oGtRjI6D5fc5","executionInfo":{"status":"ok","timestamp":1693157087079,"user_tz":-330,"elapsed":8572,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"18267d50-c8fb-47b6-ba44-2ae2fc3d4596"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Fitting 2 folds for each of 200 candidates, totalling 400 fits\n","{'C': 4.0, 'gamma': 'auto', 'kernel': 'poly', 'tol': 0.001}\n","credit card-score:  0.6499999999999999\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_MD= crdcd_fdsvv(C= 4.0, gamma= 'scale', kernel='poly', tol=0.001 )\n","crdcd_fd_MD.fit(crdcd_fd_i_Xnt.sample(100, random_state=33), crdcd_fd_o_Ynt.sample(100, random_state=33))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","print(\"Duration for Training:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"7O9JfvUz6Zci","executionInfo":{"status":"ok","timestamp":1693157137199,"user_tz":-330,"elapsed":13,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"09bcc3dc-b98f-46af-d17a-e66e22567e76"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Duration for Training: 0.014612436294555664\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_MD.predict(crdcd_fd_i_Xdv)\n","print(crdcd_fdclfrt(crdcd_fd_o_Ydv, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Ydv, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for validation:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"KT-V6PnlrZvJ","executionInfo":{"status":"ok","timestamp":1693157159694,"user_tz":-330,"elapsed":923,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"071d9037-bdb5-4d79-e86e-83cfe82c951c"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.66      0.20      0.31      4685\n","           1       0.53      0.90      0.67      4765\n","\n","    accuracy                           0.55      9450\n","   macro avg       0.59      0.55      0.49      9450\n","weighted avg       0.59      0.55      0.49      9450\n","\n","Duration for validation: 0.060979366302490234\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_MD.predict(crdcd_fd_i_Xst)\n","print(crdcd_fdclfrt(crdcd_fd_o_Yst, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Yst, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for test:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"FB0QN5ty6dYx","executionInfo":{"status":"ok","timestamp":1693157164073,"user_tz":-330,"elapsed":595,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"03b1af5a-e5f3-4b3f-e010-d9a45cc5aa9a"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.64      0.20      0.30      4623\n","           1       0.54      0.90      0.67      4827\n","\n","    accuracy                           0.55      9450\n","   macro avg       0.59      0.55      0.49      9450\n","weighted avg       0.59      0.55      0.49      9450\n","\n","Duration for test: 0.07105326652526855\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["### DL algorithm-credit card fraud detection"],"metadata":{"id":"XfVJnod06pZe"}},{"cell_type":"markdown","source":["#### MLP"],"metadata":{"id":"rwPwUP096z_b"}},{"cell_type":"code","source":["from sklearn.neural_network import MLPClassifier as crdcd_fdmmllp\n","\n","crd_par = {'activation':['identity','tanh','relu','logistic'],\n","              'solver': ['adam','lbfgs'],\n","               'learning_rate': ['constant','invscaling','adaptive'],\n","            'hidden_layer_sizes':[(100,), (150,), (200,),(300,)],\n","           'alpha':[0.1, 0.001, 0.01]}\n","\n","\n","crd_par_bs = crdcd_fdmmllp(random_state=33)\n","crd_par_bs = crdcd_fdgshc(crd_par_bs, crd_par, cv=2, verbose=1)\n","crd_par_bs.fit(crdcd_fd_i_Xnt.sample(10, random_state=33), crdcd_fd_o_Ynt.sample(10, random_state=33))\n","\n","print( crd_par_bs.best_params_)\n","print(\"credit card-score: \", crd_par_bs.best_score_)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"sV5YAOdS619T","executionInfo":{"status":"ok","timestamp":1693999351817,"user_tz":-330,"elapsed":64670,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"63f3e5db-c6e3-473b-cc13-7a587ab6bb18"},"execution_count":20,"outputs":[{"output_type":"stream","name":"stdout","text":["Fitting 2 folds for each of 288 candidates, totalling 576 fits\n","{'activation': 'identity', 'alpha': 0.1, 'hidden_layer_sizes': (200,), 'learning_rate': 'constant', 'solver': 'lbfgs'}\n","credit card-score:  0.8\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_ME= crdcd_fdmmllp(activation= 'identity', learning_rate= 'constant',solver='lbfgs',hidden_layer_sizes=(200,),alpha=0.1 )\n","crdcd_fd_ME.fit(crdcd_fd_i_Xnt, crdcd_fd_o_Ynt)\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","print(\"Duration for Training:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"bxW6eWuO7wO5","executionInfo":{"status":"ok","timestamp":1693999404649,"user_tz":-330,"elapsed":5820,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"2214ee42-0cab-4786-b73e-6861d7279786"},"execution_count":21,"outputs":[{"output_type":"stream","name":"stdout","text":["Duration for Training: 5.65870213508606\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_ME.predict(crdcd_fd_i_Xdv)\n","print(crdcd_fdclfrt(crdcd_fd_o_Ydv, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Ydv, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for validation:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"JjijY51SrqDA","executionInfo":{"status":"ok","timestamp":1693999428881,"user_tz":-330,"elapsed":644,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"e1054a28-f1b1-4a7f-f3a6-0fec21204d7c"},"execution_count":22,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.50      0.30      0.38      4685\n","           1       0.51      0.71      0.59      4765\n","\n","    accuracy                           0.51      9450\n","   macro avg       0.51      0.51      0.49      9450\n","weighted avg       0.51      0.51      0.49      9450\n","\n","Duration for validation: 0.06344914436340332\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_ME.predict(crdcd_fd_i_Xst)\n","print(crdcd_fdclfrt(crdcd_fd_o_Yst, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Yst, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for test:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"866s0vwu7wQa","executionInfo":{"status":"ok","timestamp":1693999435408,"user_tz":-330,"elapsed":840,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"bf30be98-0862-4ca6-f99a-32dcbdcaeea4"},"execution_count":23,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.51      0.31      0.38      4623\n","           1       0.52      0.72      0.60      4827\n","\n","    accuracy                           0.52      9450\n","   macro avg       0.52      0.51      0.49      9450\n","weighted avg       0.52      0.52      0.50      9450\n","\n","Duration for test: 0.048848867416381836\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["*** XGBoost has highest accuracy (78%)"],"metadata":{"id":"7Dogn1soRrUn"}}]}