diff --git a/Data/APLpredictor/AdaBoostRegressor/model.pkl b/Data/APLpredictor/AdaBoostRegressor/model.pkl index 1804999d..be7802fa 100644 Binary files a/Data/APLpredictor/AdaBoostRegressor/model.pkl and b/Data/APLpredictor/AdaBoostRegressor/model.pkl differ diff --git a/Data/APLpredictor/DecisionTreeRegressor/model.pkl b/Data/APLpredictor/DecisionTreeRegressor/model.pkl index 0de558a6..afe5c28f 100644 Binary files a/Data/APLpredictor/DecisionTreeRegressor/model.pkl and b/Data/APLpredictor/DecisionTreeRegressor/model.pkl differ diff --git a/Data/APLpredictor/ElasticNet/model.pkl b/Data/APLpredictor/ElasticNet/model.pkl index 1f868d54..41f280a0 100644 Binary files a/Data/APLpredictor/ElasticNet/model.pkl and b/Data/APLpredictor/ElasticNet/model.pkl differ diff --git a/Data/APLpredictor/GradientBoostingRegressor/model.pkl b/Data/APLpredictor/GradientBoostingRegressor/model.pkl index dca861a0..8cbd3d71 100644 Binary files a/Data/APLpredictor/GradientBoostingRegressor/model.pkl and 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+2116,938 @@ RMSE: 4.633 R2: 0.723 Pearson: 0.862 +---- LinearRegression ---- + +Best model parameters: {} +GridSearchCV fit: -4.673054513199252 + +Metrics in test set +MAE: 3.395 +RMSE: 4.673 +R2: 0.644 +Pearson: 0.802 + +Metrics in training set +MAE: 2.940 +RMSE: 3.743 +R2: 0.819 +Pearson: 0.905 + +---- Lasso ---- + +Best model parameters: {'alpha': 0.001} +GridSearchCV fit: -4.673851754917777 + +Metrics in test set +MAE: 3.397 +RMSE: 4.674 +R2: 0.644 +Pearson: 0.802 + +Metrics in training set +MAE: 2.948 +RMSE: 3.745 +R2: 0.819 +Pearson: 0.905 + +---- Ridge ---- + +Best model parameters: {'alpha': 0.01} +GridSearchCV fit: -4.6732333376506965 + +Metrics in test set +MAE: 3.396 +RMSE: 4.673 +R2: 0.644 +Pearson: 0.802 + +Metrics in training set +MAE: 2.948 +RMSE: 3.745 +R2: 0.819 +Pearson: 0.905 + +---- ElasticNet ---- + +Best model parameters: {'alpha': 0.05, 'l1_ratio': 0.9} +GridSearchCV fit: -5.36241111391284 + +Metrics in test set +MAE: 4.036 +RMSE: 5.362 +R2: 0.531 +Pearson: 0.758 + +Metrics in training set +MAE: 3.825 +RMSE: 6.789 +R2: 0.404 +Pearson: 0.669 + +---- DecisionTreeRegressor ---- + +Best model parameters: {'max_depth': 10} +GridSearchCV fit: -3.7898251391858016 + +Metrics in test set +MAE: 2.601 +RMSE: 3.790 +R2: 0.766 +Pearson: 0.875 + +Metrics in training set +MAE: 3.009 +RMSE: 4.739 +R2: 0.710 +Pearson: 0.849 + +---- RandomForestRegressor ---- + +Best model parameters: {'max_depth': None, 'max_features': 1, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100} +GridSearchCV fit: -3.815245350355903 + +Metrics in test set +MAE: 2.655 +RMSE: 3.815 +R2: 0.762 +Pearson: 0.874 + +Metrics in training set +MAE: 2.853 +RMSE: 4.966 +R2: 0.681 +Pearson: 0.839 + +---- GradientBoostingRegressor ---- + +Best model parameters: {'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 75} +GridSearchCV fit: -3.759779220340636 + +Metrics in test set +MAE: 2.593 +RMSE: 3.760 +R2: 0.769 +Pearson: 0.877 + +Metrics in training set +MAE: 2.785 +RMSE: 4.421 +R2: 0.747 +Pearson: 0.876 + +---- AdaBoostRegressor ---- + +Best model parameters: {'learning_rate': 0.01, 'n_estimators': 100} +GridSearchCV fit: -4.501795574406243 + +Metrics in test set +MAE: 3.312 +RMSE: 4.502 +R2: 0.669 +Pearson: 0.818 + +Metrics in training set +MAE: 3.109 +RMSE: 4.731 +R2: 0.711 +Pearson: 0.852 + +---- KNeighborsRegressor ---- + +Best model parameters: {'n_neighbors': 10} +GridSearchCV fit: -4.640041949298464 + +Metrics in test set +MAE: 3.142 +RMSE: 4.640 +R2: 0.649 +Pearson: 0.805 + +Metrics in training set +MAE: 3.218 +RMSE: 6.308 +R2: 0.486 +Pearson: 0.700 + +---- MLPRegressor ---- + +Best model parameters: {'activation': 'relu', 'alpha': 0.001, 'hidden_layer_sizes': (50, 50), 'max_iter': 750} +GridSearchCV fit: -4.5552258464380575 + +Metrics in test set +MAE: 3.255 +RMSE: 4.555 +R2: 0.661 +Pearson: 0.813 + +Metrics in training set +MAE: 2.864 +RMSE: 3.697 +R2: 0.823 +Pearson: 0.908 + +---- XGBRegressor ---- + +Best model parameters: {'learning_rate': 0.1, 'max_depth': 8, 'n_estimators': 50} +GridSearchCV fit: -3.7466125602245017 + +Metrics in test set +MAE: 2.581 +RMSE: 3.747 +R2: 0.771 +Pearson: 0.878 + +Metrics in training set +MAE: 2.918 +RMSE: 4.633 +R2: 0.723 +Pearson: 0.862 + +---- LinearRegression ---- + +Best model parameters: {} +GridSearchCV fit: -0.6723065259675224 + +Metrics in test set +MAE: 0.306 +RMSE: 0.672 +R2: 0.090 +Pearson: 0.301 + +Metrics in training set +MAE: 0.256 +RMSE: 0.545 +R2: 0.066 +Pearson: 0.276 + +---- Lasso ---- + +Best model parameters: {'alpha': 0.001} +GridSearchCV fit: -0.6731771751574153 + +Metrics in test set +MAE: 0.306 +RMSE: 0.673 +R2: 0.088 +Pearson: 0.297 + +Metrics in training set +MAE: 0.251 +RMSE: 0.543 +R2: 0.073 +Pearson: 0.279 + +---- Ridge ---- + +Best model parameters: {'alpha': 0.05} +GridSearchCV fit: -0.6724619131177046 + +Metrics in test set +MAE: 0.306 +RMSE: 0.672 +R2: 0.090 +Pearson: 0.300 + +Metrics in training set +MAE: 0.255 +RMSE: 0.544 +R2: 0.067 +Pearson: 0.276 + +---- ElasticNet ---- + +Best model parameters: {'alpha': 0.05, 'l1_ratio': 0.25} +GridSearchCV fit: -0.6977921010953593 + +Metrics in test set +MAE: 0.334 +RMSE: 0.698 +R2: 0.020 +Pearson: 0.278 + +Metrics in training set +MAE: 0.259 +RMSE: 0.557 +R2: 0.024 +Pearson: 0.295 + +---- DecisionTreeRegressor ---- + +Best model parameters: {'max_depth': None} +GridSearchCV fit: -0.6004098479616863 + +Metrics in test set +MAE: 0.257 +RMSE: 0.600 +R2: 0.275 +Pearson: 0.524 + +Metrics in training set +MAE: 0.235 +RMSE: 0.429 +R2: 0.420 +Pearson: 0.657 + +---- RandomForestRegressor ---- + +Best model parameters: {'max_depth': None, 'max_features': 1, 'min_samples_leaf': 1, 'min_samples_split': 4, 'n_estimators': 100} +GridSearchCV fit: -0.6073093092838523 + +Metrics in test set +MAE: 0.267 +RMSE: 0.607 +R2: 0.258 +Pearson: 0.511 + +Metrics in training set +MAE: 0.244 +RMSE: 0.454 +R2: 0.352 +Pearson: 0.597 + +---- GradientBoostingRegressor ---- + +Best model parameters: {'learning_rate': 0.01, 'max_depth': 3, 'n_estimators': 150} +GridSearchCV fit: -0.6353685552441649 + +Metrics in test set +MAE: 0.286 +RMSE: 0.635 +R2: 0.188 +Pearson: 0.465 + +Metrics in training set +MAE: 0.240 +RMSE: 0.506 +R2: 0.193 +Pearson: 0.474 + +---- AdaBoostRegressor ---- + +Best model parameters: {'learning_rate': 0.01, 'n_estimators': 100} +GridSearchCV fit: -0.6493022586238576 + +Metrics in test set +MAE: 0.332 +RMSE: 0.649 +R2: 0.152 +Pearson: 0.403 + +Metrics in training set +MAE: 0.290 +RMSE: 0.540 +R2: 0.081 +Pearson: 0.345 + +---- KNeighborsRegressor ---- + +Best model parameters: {'n_neighbors': 10} +GridSearchCV fit: -0.6543441572143739 + +Metrics in test set +MAE: 0.283 +RMSE: 0.654 +R2: 0.138 +Pearson: 0.382 + +Metrics in training set +MAE: 0.256 +RMSE: 0.547 +R2: 0.058 +Pearson: 0.277 + +---- MLPRegressor ---- + +Best model parameters: {'activation': 'tanh', 'alpha': 0.0005, 'hidden_layer_sizes': (25, 25), 'max_iter': 750} +GridSearchCV fit: -0.6710469369980918 + +Metrics in test set +MAE: 0.317 +RMSE: 0.671 +R2: 0.094 +Pearson: 0.314 + +Metrics in training set +MAE: 0.267 +RMSE: 0.542 +R2: 0.074 +Pearson: 0.304 + +---- XGBRegressor ---- + +Best model parameters: {'learning_rate': 0.1, 'max_depth': 3, 'n_estimators': 25} +GridSearchCV fit: -0.6308284408095344 + +Metrics in test set +MAE: 0.285 +RMSE: 0.631 +R2: 0.199 +Pearson: 0.465 + +Metrics in training set +MAE: 0.243 +RMSE: 0.491 +R2: 0.240 +Pearson: 0.510 + +---- LinearRegression ---- + +Best model parameters: {} +GridSearchCV fit: -4.673054513199252 + +Metrics in test set +MAE: 3.395 +RMSE: 4.673 +R2: 0.644 +Pearson: 0.802 + +Metrics in training set +MAE: 2.940 +RMSE: 3.743 +R2: 0.819 +Pearson: 0.905 + +---- Lasso ---- + +Best model parameters: {'alpha': 0.001} +GridSearchCV fit: -4.673851754917777 + +Metrics in test set +MAE: 3.397 +RMSE: 4.674 +R2: 0.644 +Pearson: 0.802 + +Metrics in training set +MAE: 2.948 +RMSE: 3.745 +R2: 0.819 +Pearson: 0.905 + +---- Ridge ---- + +Best model parameters: {'alpha': 0.01} +GridSearchCV fit: -4.6732333376506965 + +Metrics in test set +MAE: 3.396 +RMSE: 4.673 +R2: 0.644 +Pearson: 0.802 + +Metrics in training set +MAE: 2.948 +RMSE: 3.745 +R2: 0.819 +Pearson: 0.905 + +---- ElasticNet ---- + +Best model parameters: {'alpha': 0.05, 'l1_ratio': 0.9} +GridSearchCV fit: -5.36241111391284 + +Metrics in test set +MAE: 4.036 +RMSE: 5.362 +R2: 0.531 +Pearson: 0.758 + +Metrics in training set +MAE: 3.825 +RMSE: 6.789 +R2: 0.404 +Pearson: 0.669 + +---- DecisionTreeRegressor ---- + +Best model parameters: {'max_depth': 10} +GridSearchCV fit: -3.7898251391858016 + +Metrics in test set +MAE: 2.601 +RMSE: 3.790 +R2: 0.766 +Pearson: 0.875 + +Metrics in training set +MAE: 3.012 +RMSE: 4.740 +R2: 0.710 +Pearson: 0.849 + +---- RandomForestRegressor ---- + +Best model parameters: {'max_depth': None, 'max_features': 1, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 50} +GridSearchCV fit: -3.8182458821700864 + +Metrics in test set +MAE: 2.653 +RMSE: 3.818 +R2: 0.762 +Pearson: 0.873 + +Metrics in training set +MAE: 2.871 +RMSE: 4.872 +R2: 0.693 +Pearson: 0.847 + +---- GradientBoostingRegressor ---- + +Best model parameters: {'learning_rate': 0.1, 'max_depth': 5, 'n_estimators': 50} +GridSearchCV fit: -3.7839595159706927 + +Metrics in test set +MAE: 2.638 +RMSE: 3.784 +R2: 0.766 +Pearson: 0.876 + +Metrics in training set +MAE: 2.806 +RMSE: 4.458 +R2: 0.743 +Pearson: 0.875 + +---- AdaBoostRegressor ---- + +Best model parameters: {'learning_rate': 0.05, 'n_estimators': 50} +GridSearchCV fit: -4.503353839005145 + +Metrics in test set +MAE: 3.305 +RMSE: 4.503 +R2: 0.669 +Pearson: 0.818 + +Metrics in training set +MAE: 3.093 +RMSE: 4.718 +R2: 0.712 +Pearson: 0.854 + +---- KNeighborsRegressor ---- + +Best model parameters: {'n_neighbors': 10} +GridSearchCV fit: -4.640041949298464 + +Metrics in test set +MAE: 3.142 +RMSE: 4.640 +R2: 0.649 +Pearson: 0.805 + +Metrics in training set +MAE: 3.218 +RMSE: 6.308 +R2: 0.486 +Pearson: 0.700 + +---- MLPRegressor ---- + +Best model parameters: {'activation': 'relu', 'alpha': 0.0001, 'hidden_layer_sizes': (50, 50), 'max_iter': 750} +GridSearchCV fit: -4.548084675098752 + +Metrics in test set +MAE: 3.251 +RMSE: 4.548 +R2: 0.662 +Pearson: 0.814 + +Metrics in training set +MAE: 2.828 +RMSE: 3.639 +R2: 0.829 +Pearson: 0.911 + +---- XGBRegressor ---- + +Best model parameters: {'learning_rate': 0.1, 'max_depth': 8, 'n_estimators': 50} +GridSearchCV fit: -3.7466125602245017 + +Metrics in test set +MAE: 2.581 +RMSE: 3.747 +R2: 0.771 +Pearson: 0.878 + +Metrics in training set +MAE: 2.918 +RMSE: 4.633 +R2: 0.723 +Pearson: 0.862 + +---- LinearRegression ---- + +Best model parameters: {} +GridSearchCV fit: -4.673054513199252 + +Metrics in test set +MAE: 3.395 +RMSE: 4.673 +R2: 0.644 +Pearson: 0.802 + +Metrics in training set +MAE: 2.940 +RMSE: 3.743 +R2: 0.819 +Pearson: 0.905 + +---- Lasso ---- + +Best model parameters: {'alpha': 0.001} +GridSearchCV fit: -4.673851754917777 + +Metrics in test set +MAE: 3.397 +RMSE: 4.674 +R2: 0.644 +Pearson: 0.802 + +Metrics in training set +MAE: 2.948 +RMSE: 3.745 +R2: 0.819 +Pearson: 0.905 + +---- Ridge ---- + +Best model parameters: {'alpha': 0.01} +GridSearchCV fit: -4.6732333376506965 + +Metrics in test set +MAE: 3.396 +RMSE: 4.673 +R2: 0.644 +Pearson: 0.802 + +Metrics in training set +MAE: 2.948 +RMSE: 3.745 +R2: 0.819 +Pearson: 0.905 + +---- ElasticNet ---- + +Best model parameters: {'alpha': 0.05, 'l1_ratio': 0.9} +GridSearchCV fit: -5.36241111391284 + +Metrics in test set +MAE: 4.036 +RMSE: 5.362 +R2: 0.531 +Pearson: 0.758 + +Metrics in training set +MAE: 3.825 +RMSE: 6.789 +R2: 0.404 +Pearson: 0.669 + +---- DecisionTreeRegressor ---- + +Best model parameters: {'max_depth': 10} +GridSearchCV fit: -3.7898251391858016 + +Metrics in test set +MAE: 2.601 +RMSE: 3.790 +R2: 0.766 +Pearson: 0.875 + +Metrics in training set +MAE: 3.009 +RMSE: 4.739 +R2: 0.710 +Pearson: 0.849 + +---- RandomForestRegressor ---- + +Best model parameters: {'max_depth': None, 'max_features': 1, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 100} +GridSearchCV fit: -3.8151132180564558 + +Metrics in test set +MAE: 2.654 +RMSE: 3.815 +R2: 0.763 +Pearson: 0.874 + +Metrics in training set +MAE: 2.870 +RMSE: 5.023 +R2: 0.674 +Pearson: 0.834 + +---- GradientBoostingRegressor ---- + +Best model parameters: {'learning_rate': 0.5, 'max_depth': 3, 'n_estimators': 25} +GridSearchCV fit: -3.7963663576274578 + +Metrics in test set +MAE: 2.655 +RMSE: 3.796 +R2: 0.765 +Pearson: 0.875 + +Metrics in training set +MAE: 2.915 +RMSE: 4.522 +R2: 0.736 +Pearson: 0.866 + +---- AdaBoostRegressor ---- + +Best model parameters: {'learning_rate': 0.5, 'n_estimators': 100} +GridSearchCV fit: -4.422867684560212 + +Metrics in test set +MAE: 3.252 +RMSE: 4.423 +R2: 0.681 +Pearson: 0.825 + +Metrics in training set +MAE: 3.200 +RMSE: 4.928 +R2: 0.686 +Pearson: 0.839 + +---- KNeighborsRegressor ---- + +Best model parameters: {'n_neighbors': 10} +GridSearchCV fit: -4.640041949298464 + +Metrics in test set +MAE: 3.142 +RMSE: 4.640 +R2: 0.649 +Pearson: 0.805 + +Metrics in training set +MAE: 3.218 +RMSE: 6.308 +R2: 0.486 +Pearson: 0.700 + +---- MLPRegressor ---- + +Best model parameters: {'activation': 'relu', 'alpha': 0.0005, 'hidden_layer_sizes': (50, 50), 'max_iter': 750} +GridSearchCV fit: -4.548041912359535 + +Metrics in test set +MAE: 3.267 +RMSE: 4.548 +R2: 0.662 +Pearson: 0.814 + +Metrics in training set +MAE: 2.797 +RMSE: 3.590 +R2: 0.833 +Pearson: 0.914 + +---- XGBRegressor ---- + +Best model parameters: {'learning_rate': 0.1, 'max_depth': 8, 'n_estimators': 50} +GridSearchCV fit: -3.7466125602245017 + +Metrics in test set +MAE: 2.581 +RMSE: 3.747 +R2: 0.771 +Pearson: 0.878 + +Metrics in training set +MAE: 2.918 +RMSE: 4.633 +R2: 0.723 +Pearson: 0.862 + +---- LinearRegression ---- + +Best model parameters: {} +GridSearchCV fit: -4.510620707568448 + +Metrics in test set +MAE: 3.305 +RMSE: 4.511 +R2: 0.704 +Pearson: 0.839 + +Metrics in training set +MAE: 3.333 +RMSE: 4.419 +R2: 0.577 +Pearson: 0.763 + +---- Lasso ---- + +Best model parameters: {'alpha': 0.001} +GridSearchCV fit: -4.51237670165775 + +Metrics in test set +MAE: 3.308 +RMSE: 4.512 +R2: 0.704 +Pearson: 0.839 + +Metrics in training set +MAE: 3.327 +RMSE: 4.416 +R2: 0.577 +Pearson: 0.764 + +---- Ridge ---- + +Best model parameters: {'alpha': 0.01} +GridSearchCV fit: -4.510811201931662 + +Metrics in test set +MAE: 3.305 +RMSE: 4.511 +R2: 0.704 +Pearson: 0.839 + +Metrics in training set +MAE: 3.332 +RMSE: 4.417 +R2: 0.577 +Pearson: 0.764 + +---- ElasticNet ---- + +Best model parameters: {'alpha': 0.05, 'l1_ratio': 0.9} +GridSearchCV fit: -5.470696893464987 + +Metrics in test set +MAE: 3.972 +RMSE: 5.471 +R2: 0.565 +Pearson: 0.791 + +Metrics in training set +MAE: 3.769 +RMSE: 4.740 +R2: 0.513 +Pearson: 0.752 + +---- DecisionTreeRegressor ---- + +Best model parameters: {'max_depth': 10} +GridSearchCV fit: -3.73702098005142 + +Metrics in test set +MAE: 2.553 +RMSE: 3.737 +R2: 0.797 +Pearson: 0.893 + +Metrics in training set +MAE: 2.967 +RMSE: 4.291 +R2: 0.601 +Pearson: 0.777 + +---- RandomForestRegressor ---- + +Best model parameters: {'max_depth': None, 'max_features': 1, 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 25} +GridSearchCV fit: -3.7842360585440136 + +Metrics in test set +MAE: 2.625 +RMSE: 3.784 +R2: 0.792 +Pearson: 0.891 + +Metrics in training set +MAE: 2.732 +RMSE: 3.798 +R2: 0.687 +Pearson: 0.829 + +---- GradientBoostingRegressor ---- + +Best model parameters: {'learning_rate': 0.1, 'max_depth': 7, 'n_estimators': 25} +GridSearchCV fit: -3.7884139588151604 + +Metrics in test set +MAE: 2.733 +RMSE: 3.788 +R2: 0.791 +Pearson: 0.892 + +Metrics in training set +MAE: 3.007 +RMSE: 4.172 +R2: 0.622 +Pearson: 0.791 + +---- AdaBoostRegressor ---- + +Best model parameters: {'learning_rate': 0.01, 'n_estimators': 200} +GridSearchCV fit: -4.3629534092738025 + +Metrics in test set +MAE: 3.219 +RMSE: 4.363 +R2: 0.723 +Pearson: 0.851 + +Metrics in training set +MAE: 3.400 +RMSE: 4.483 +R2: 0.564 +Pearson: 0.753 + +---- KNeighborsRegressor ---- + +Best model parameters: {'n_neighbors': 7} +GridSearchCV fit: -4.981489426837481 + +Metrics in test set +MAE: 3.155 +RMSE: 4.981 +R2: 0.639 +Pearson: 0.801 + +Metrics in training set +MAE: 2.965 +RMSE: 3.906 +R2: 0.669 +Pearson: 0.822 + +---- MLPRegressor ---- + +Best model parameters: {'activation': 'relu', 'alpha': 0.001, 'hidden_layer_sizes': (50, 50), 'max_iter': 750} +GridSearchCV fit: -4.313999868675119 + +Metrics in test set +MAE: 3.044 +RMSE: 4.314 +R2: 0.729 +Pearson: 0.854 + +Metrics in training set +MAE: 3.155 +RMSE: 4.246 +R2: 0.609 +Pearson: 0.782 + +---- XGBRegressor ---- + +Best model parameters: {'learning_rate': 0.25, 'max_depth': 5, 'n_estimators': 25} +GridSearchCV fit: -3.7959871302854866 + +Metrics in test set +MAE: 2.676 +RMSE: 3.796 +R2: 0.790 +Pearson: 0.889 + +Metrics in training set +MAE: 2.885 +RMSE: 3.943 +R2: 0.663 +Pearson: 0.814 + diff --git a/scratch/checkContentTST.py b/scratch/checkContentTST.py new file mode 100644 index 00000000..82657c98 --- /dev/null +++ b/scratch/checkContentTST.py @@ -0,0 +1,137 @@ +def getTotalNlipids(system): + NLIPIDS = 0 + for molecule in system['COMPOSITION']: + if molecule in lipids_dict: + NLIPIDS += np.sum(system['COMPOSITION'][molecule]['COUNT']) + return NLIPIDS + +def getTotalNsolvent(system): + NMOLECULES = 0 + for molecule in system['COMPOSITION']: + if molecule not in lipids_dict: + NMOLECULES += np.sum(system['COMPOSITION'][molecule]['COUNT']) + return NMOLECULES + +def checkAvailabilitySIM(system,lipid,counterion): + status = {} + TotalNlipids = getTotalNlipids(system) + TotalNsolvent = getTotalNsolvent(system) + Nwater = system['COMPOSITION']['SOL']['COUNT'] + if counterion != 'no': + try: + Ncounterion = system['COMPOSITION'][counterion]['COUNT'] + except: + Ncounterion = 0 + + try: + Nlipid = np.sum(system['COMPOSITION'][lipid]['COUNT']) + except: + Nlipid = 0 + + path = system['path'] + + QualityEvaluated = False + TotalQualityFilePath = path + '/SYSTEM_quality.json' + if (os.path.isfile(TotalQualityFilePath)): + with open(TotalQualityFilePath) as json_file: + Quality = json.load(json_file) + json_file.close() + if all(value > 0 for value in Quality.values()): + #print(Quality) + QualityEvaluated = True + + xrayQualityEvaluated = False + xrayQualityFilePath = path + '/FormFactorQuality.json' + if (os.path.isfile(xrayQualityFilePath)): + with open(xrayQualityFilePath) as json_file: + xrayQuality = json.load(json_file) + json_file.close() + if len(xrayQuality) > 0 and xrayQuality[0] > 0: + xrayQualityEvaluated = True + + SingleComponentSystem = False + if Nlipid == TotalNlipids: + if counterion == 'no' and Nwater == TotalNsolvent: + SingleComponentSystem = True + if counterion != 'no'and Nwater == TotalNsolvent-Ncounterion and Nlipid == Ncounterion: + SingleComponentSystem = True + + if SingleComponentSystem: + status['Simulation'] = 'yes' + status['FF'] = system['FF'] + if QualityEvaluated: + status['Experiment'] = 'yes' + status['Quality'] = Quality['total'] + + if not QualityEvaluated: + status['Experiment'] = 'no' + status['Quality'] = 0 + + if xrayQualityEvaluated: + status['xrayExperiment'] = 'yes' + status['xrayQuality'] = xrayQuality[0] + + if not xrayQualityEvaluated: + status['xrayExperiment'] = 'no' + status['xrayQuality'] = 0 + + return status + + +def giveStatus(systems,lipid,counterion): + status = {'Simulation': 'no', 'Experiment': 'no', 'Quality': 0, 'xrayExperiment': 'no', 'xrayQuality': 0} + QualityEvaluatedFound = False + for system in systems: + TMPstatus = checkAvailabilitySIM(system,lipid,counterion) + if TMPstatus and TMPstatus['Quality'] > status['Quality']: + QualityEvaluatedFound = True + status = TMPstatus + if TMPstatus and not QualityEvaluatedFound and TMPstatus['Simulation'] == 'yes': + status = TMPstatus + return status + +def giveExpStatus(lipids,counterion,status): + + + + return status + + + +HGs = {'PC', 'PE', 'PG', 'PS'} +tails = {'PO', 'DO', 'DP'} +table = {} + +for tail in tails: + table[tail] = {} + for HG in HGs: + lipid = tail + HG + + if lipid == 'POPS' or lipid == 'POPG' or lipid == 'DPPG': + counterion = 'SOD' + else: + counterion = 'no' + + status = giveStatus(systems,lipid,counterion) + statusString = '' + + if status['Quality'] > 0: + if 'ECC-lipids' in status['FF']: + FF = 'ECClipids' + else: + FF = status['FF'] + #print(status['xrayQuality']) + statusString = FF + '(' + str(round(status['Quality'],2)) + ',' + str(round(status['xrayQuality'])) + ')' + else: + if status['Simulation'] == 'no': + statusString = statusString + 'MD,' + if status['Experiment'] == 'no': + statusString = statusString + 'NMR,' + if status['xrayExperiment'] == 'no': + statusString = statusString + 'x-ray' + + table[tail][HG] = statusString + + +print(pd.DataFrame(table)) +display(pd.DataFrame(table)) diff --git a/scripts/APLpredictor.ipynb b/scripts/APLpredictor.ipynb index b67052aa..4476ff0d 100644 --- a/scripts/APLpredictor.ipynb +++ b/scripts/APLpredictor.ipynb @@ -1,5 +1,23 @@ { "cells": [ + { + "cell_type": "markdown", + "id": "b881194c", + "metadata": {}, + "source": [ + "### You can run this notebook at Colab by clicking here:" + ] + }, + { + "cell_type": "markdown", + "id": "7ac89eed", + "metadata": {}, + "source": [ + "\n", + " \"Open\n", + "" + ] + }, { "cell_type": "markdown", "id": "22724830", @@ -22,7 +40,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 25, "id": "70d500f2", "metadata": {}, "outputs": [ @@ -40,18 +58,27 @@ "import numpy as np\n", "import json\n", "import matplotlib.pyplot as plt\n", - "import MDAnalysis\n", "import urllib.request\n", "import yaml\n", "import random\n", "import collections\n", "import pandas as pd\n", "\n", + "if 'google.colab' in sys.modules:\n", + " !pip3 install MDAnalysis\n", + "import MDAnalysis\n", + "\n", + "\n", "# This defines the path for the NMRlipids databank on your computer. \n", "# Default is that this repository and the NMRlipids databank repository are cloned to the same folder.\n", "# If this is not the case, change this to the folder where the NMRlipids databank repository is located.\n", + "\n", "databankPath = '../../Databank/'\n", "\n", + "if 'google.colab' in sys.modules:\n", + " !git clone https://github.com/NMRLipids/Databank.git\n", + " databankPath = '/content/Databank'\n", + "\n", "# This enales the access to functions defined in the NMRlipids databank.\n", "sys.path.insert(1, databankPath + '/Scripts/BuildDatabank/')\n", "from databankLibrary import * \n", @@ -63,7 +90,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 26, "id": "b94f1394", "metadata": {}, "outputs": [], @@ -248,7 +275,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 27, "id": "9c5dea7f", "metadata": {}, "outputs": [ @@ -256,7 +283,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "{'POPC': 480, 'CHOL': 189, 'DMPC': 15, 'DMTAP': 9, 'DPPC': 73, 'DOPS': 13, 'POPE': 59, 'DOPC': 38, 'POPS': 86, 'POPG': 63, 'DRPC': 3, 'DAPC': 15, 'DOPE': 8, 'SDG': 4, 'SAPI24': 1, 'SM16': 5, 'CER': 5, 'DLIPC': 6, 'TLCL_0H': 3, 'SM18': 2, 'PYPC': 3, 'GM1': 3, 'DLPC': 8, 'DHMDMAB': 13, 'DOG': 4, 'POPI': 2, 'CER180': 1, 'DYPC': 3, 'TOCL': 5, 'SOPC': 6, 'SAPI25': 6, 'DSPC': 2, 'SLiPC': 3, 'SAPI': 1, 'SLPI': 1, 'DEPC': 1, 'PAzePCprot': 1, 'DPPGK': 1, 'SDPE': 4, 'DDOPC': 2, 'PAzePCdeprot': 1, 'DPPG': 2, 'DPPE': 3, 'DCHOL': 2}\n", + "{'POPC': 481, 'CHOL': 189, 'DMPC': 17, 'DMTAP': 9, 'DPPC': 73, 'DOPS': 13, 'POPE': 61, 'DOPC': 38, 'POPS': 86, 'POPG': 63, 'DRPC': 3, 'DAPC': 15, 'DOPE': 8, 'SDG': 4, 'SAPI24': 1, 'SM16': 5, 'CER': 5, 'DLIPC': 6, 'TLCL_0H': 3, 'SM18': 2, 'PYPC': 3, 'GM1': 3, 'DLPC': 8, 'DHMDMAB': 13, 'DOG': 4, 'POPI': 2, 'CER180': 1, 'DYPC': 3, 'TOCL': 5, 'SOPC': 6, 'SAPI25': 6, 'DSPC': 2, 'SLiPC': 3, 'SAPI': 1, 'SLPI': 1, 'DEPC': 1, 'PAzePCprot': 1, 'DPPGK': 1, 'SDPE': 4, 'DDOPC': 2, 'PAzePCdeprot': 1, 'DPPG': 2, 'DPPE': 3, 'DCHOL': 2}\n", "['POPC', 'CHOL', 'DMPC', 'DMTAP', 'DPPC', 'DOPS', 'POPE', 'DOPC', 'POPS', 'POPG', 'DRPC', 'DAPC', 'DOPE', 'SDG', 'SAPI24', 'SM16', 'CER', 'DLIPC', 'TLCL_0H', 'SM18', 'PYPC', 'GM1', 'DLPC', 'DHMDMAB', 'DOG', 'POPI', 'CER180', 'DYPC', 'TOCL', 'SOPC', 'SAPI25', 'DSPC', 'SLiPC', 'SAPI', 'SLPI', 'DEPC', 'PAzePCprot', 'DPPGK', 'SDPE', 'DDOPC', 'PAzePCdeprot', 'DPPG', 'DPPE', 'DCHOL']\n" ] } @@ -341,7 +368,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "765\n" + "770\n" ] } ], @@ -540,12 +567,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "LinearRegression was finalized in 0.7970 seconds\n", - "Lasso was finalized in 0.0286 seconds\n", - "Ridge was finalized in 0.0262 seconds\n", - "ElasticNet was finalized in 0.0678 seconds\n", - "DecisionTreeRegressor was finalized in 0.0436 seconds\n", - "RandomForestRegressor was finalized in 39.8423 seconds\n" + "LinearRegression was finalized in 0.8348 seconds\n", + "Lasso was finalized in 0.0376 seconds\n", + "Ridge was finalized in 0.0274 seconds\n", + "ElasticNet was finalized in 0.0667 seconds\n", + "DecisionTreeRegressor was finalized in 0.0409 seconds\n", + "RandomForestRegressor was finalized in 38.5872 seconds\n" ] }, { @@ -559,7 +586,7 @@ "\n", "Below are more details about the failures:\n", "--------------------------------------------------------------------------------\n", - "1045 fits failed with the following error:\n", + "805 fits failed with the following error:\n", "Traceback (most recent call last):\n", " File \"/home/sosamuli/anaconda3/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 729, in _fit_and_score\n", " estimator.fit(X_train, y_train, **fit_params)\n", @@ -569,10 +596,10 @@ " validate_parameter_constraints(\n", " File \"/home/sosamuli/anaconda3/lib/python3.10/site-packages/sklearn/utils/_param_validation.py\", line 95, in validate_parameter_constraints\n", " raise InvalidParameterError(\n", - "sklearn.utils._param_validation.InvalidParameterError: The 'max_features' parameter of RandomForestRegressor must be an int in the range [1, inf), a float in the range (0.0, 1.0], a str among {'log2', 'sqrt'} or None. Got 'auto' instead.\n", + "sklearn.utils._param_validation.InvalidParameterError: The 'max_features' parameter of RandomForestRegressor must be an int in the range [1, inf), a float in the range (0.0, 1.0], a str among {'sqrt', 'log2'} or None. Got 'auto' instead.\n", "\n", "--------------------------------------------------------------------------------\n", - "955 fits failed with the following error:\n", + "1195 fits failed with the following error:\n", "Traceback (most recent call last):\n", " File \"/home/sosamuli/anaconda3/lib/python3.10/site-packages/sklearn/model_selection/_validation.py\", line 729, in _fit_and_score\n", " estimator.fit(X_train, y_train, **fit_params)\n", @@ -582,7 +609,7 @@ " validate_parameter_constraints(\n", " File \"/home/sosamuli/anaconda3/lib/python3.10/site-packages/sklearn/utils/_param_validation.py\", line 95, in validate_parameter_constraints\n", " raise InvalidParameterError(\n", - "sklearn.utils._param_validation.InvalidParameterError: The 'max_features' parameter of RandomForestRegressor must be an int in the range [1, inf), a float in the range (0.0, 1.0], a str among {'sqrt', 'log2'} or None. Got 'auto' instead.\n", + "sklearn.utils._param_validation.InvalidParameterError: The 'max_features' parameter of RandomForestRegressor must be an int in the range [1, inf), a float in the range (0.0, 1.0], a str among {'log2', 'sqrt'} or None. Got 'auto' instead.\n", "\n", " warnings.warn(some_fits_failed_message, FitFailedWarning)\n", "/home/sosamuli/anaconda3/lib/python3.10/site-packages/sklearn/model_selection/_search.py:979: UserWarning: One or more of the test scores are non-finite: [ nan nan nan nan nan nan\n", @@ -598,20 +625,20 @@ " nan nan nan nan nan nan\n", " nan nan nan nan nan nan\n", " nan nan nan nan nan nan\n", - " nan nan -4.64114821 -4.61852854 -4.63117993 -4.61662176\n", - " -4.69274686 -4.62725027 -4.65503904 -4.68020476 -4.60157233 -4.70954703\n", - " -4.67619448 -4.68780436 -4.80861558 -4.75457724 -4.71608726 -4.71660454\n", - " -4.67400562 -4.70711643 -4.70906214 -4.69687263 -5.55220044 -5.21830929\n", - " -5.18834153 -5.31225837 -5.18172406 -5.12348193 -5.21595419 -5.23373727\n", - " -5.42478906 -5.25423608 -5.30207757 -5.26483871 -5.50458958 -5.2179175\n", - " -5.2189786 -5.26530203 -5.31605834 -5.25591403 -5.21021107 -5.15162523\n", - " -6.37758625 -6.35686986 -6.34755593 -6.39946903 -6.35920665 -6.45304259\n", - " -6.41494327 -6.34311767 -6.53246956 -6.48804797 -6.46884464 -6.37769022\n", - " -6.22354246 -6.6405786 -6.50315734 -6.39151569 -6.62871432 -6.52625912\n", - " -6.46871898 -6.37256801 -6.60968902 -6.56930381 -6.69968877 -6.58504114\n", - " -6.72387417 -6.5684446 -6.59488101 -6.58912697 -6.83864387 -6.73932422\n", - " -6.54725877 -6.63690271 -6.67019023 -6.63092191 -6.75350958 -6.62511791\n", - " -6.56631303 -6.57092397 -6.63011462 -6.66415308 nan nan\n", + " nan nan -4.73842843 -4.78228161 -4.76743917 -4.78375469\n", + " -4.90197845 -4.84701453 -4.83408902 -4.83481387 -4.87047111 -4.81269746\n", + " -4.81415078 -4.84605643 -4.92360274 -4.82938721 -4.81813365 -4.83731581\n", + " -4.94596317 -4.79661341 -4.79486795 -4.78390189 -5.17071995 -5.03771754\n", + " -5.16521701 -5.13248472 -5.27859797 -5.09831483 -5.12746111 -5.16251411\n", + " -5.16991057 -5.22980494 -5.18834004 -5.24160981 -5.20102507 -5.2902974\n", + " -5.16901257 -5.16078109 -5.09299137 -5.33111432 -5.17074785 -5.1728084\n", + " -6.39398965 -6.41274839 -6.47069012 -6.39583678 -6.4819712 -6.46122747\n", + " -6.45408373 -6.43569546 -6.16846585 -6.44661799 -6.45073687 -6.42810308\n", + " -7.00658972 -6.404748 -6.50904736 -6.30692934 -6.48899594 -6.53993301\n", + " -6.461672 -6.41050542 -7.03972134 -6.9444264 -6.98210352 -7.17175374\n", + " -7.10317353 -7.17693146 -7.12908468 -7.10176885 -6.99734011 -7.09313053\n", + " -7.11193374 -7.03303462 -6.99023901 -7.0992357 -7.12507375 -7.09563889\n", + " -7.26790786 -7.11749793 -7.04680214 -7.1414514 nan nan\n", " nan nan nan nan nan nan\n", " nan nan nan nan nan nan\n", " nan nan nan nan nan nan\n", @@ -625,20 +652,20 @@ " nan nan nan nan nan nan\n", " nan nan nan nan nan nan\n", " nan nan nan nan nan nan\n", - " -6.09561559 -6.20561877 -5.98203605 -6.10053335 -5.98226221 -6.07851053\n", - " -6.12487238 -6.09553075 -6.18621511 -6.20191212 -6.05588093 -6.14776924\n", - " -5.97666265 -6.16462596 -6.12721955 -6.09441958 -6.23010996 -6.16501269\n", - " -6.11069029 -6.14363454 -6.28821037 -6.24597575 -6.29311171 -6.2782975\n", - " -6.24995106 -6.10893246 -6.3627363 -6.25089086 -6.22150422 -6.21700306\n", - " -6.31851402 -6.28353839 -6.18343303 -6.22726082 -6.26463388 -6.12197901\n", - " -6.07688678 -6.17723257 -6.39122815 -6.10612223 -6.65649445 -6.66553462\n", - " -6.62516566 -6.62869251 -6.64342825 -6.5915944 -6.62363717 -6.6025837\n", - " -6.45819064 -6.5094724 -6.51535618 -6.74750504 -6.53878773 -6.60860811\n", - " -6.67439564 -6.56729864 -6.72941917 -6.7602782 -6.62860393 -6.62579828\n", - " -6.71668758 -6.83703182 -6.76613035 -6.7975 -7.04386227 -6.72856555\n", - " -6.83989467 -6.7649139 -6.90955992 -6.9415778 -6.8198139 -6.81716601\n", - " -6.76913848 -6.82420748 -6.88468237 -6.74467515 -6.7113096 -6.88262011\n", - " -6.78452741 -6.83222654 nan nan nan nan\n", + " -6.21382386 -6.45822812 -6.41459987 -6.50217626 -6.51054539 -6.45094412\n", + " -6.45807365 -6.40554994 -6.38317265 -6.56472464 -6.46683341 -6.41675531\n", + " -6.44700173 -6.52945192 -6.36243113 -6.53492684 -6.4021603 -6.50715076\n", + " -6.49248965 -6.43098656 -6.44430164 -6.31252505 -6.42964145 -6.47396933\n", + " -6.32977169 -6.53431822 -6.37335648 -6.49004668 -6.41609723 -6.45505936\n", + " -6.40457796 -6.38827721 -6.42991797 -6.39011717 -6.45836642 -6.36522444\n", + " -6.64394839 -6.47344241 -6.41062352 -6.41242534 -6.86252159 -6.85093731\n", + " -6.81215684 -6.87079048 -6.73700144 -6.75105411 -6.82741318 -6.7655989\n", + " -7.01759065 -6.75185219 -6.91610096 -6.80657466 -6.81310658 -6.85174343\n", + " -6.79743294 -6.80914124 -6.94161436 -6.7677494 -6.77920507 -6.78629805\n", + " -6.84967255 -7.22058035 -7.22109734 -7.32200141 -7.22039069 -7.05494164\n", + " -7.26479333 -7.15132023 -7.2705475 -7.10756631 -7.0651567 -7.15274622\n", + " -7.10949795 -7.36765857 -7.18765026 -7.17866167 -7.1113454 -7.17175644\n", + " -7.14682041 -7.21990618 nan nan nan nan\n", " nan nan nan nan nan nan\n", " nan nan nan nan nan nan\n", " nan nan nan nan nan nan\n", @@ -651,20 +678,20 @@ " nan nan nan nan nan nan\n", " nan nan nan nan nan nan\n", " nan nan nan nan nan nan\n", - " nan nan nan nan -5.42751827 -5.42552641\n", - " -5.54728766 -5.39481049 -5.43693692 -5.38577902 -5.29122598 -5.40324673\n", - " -5.41903239 -5.2963599 -5.46111437 -5.37454816 -5.52577318 -5.40541344\n", - " -5.48756159 -5.31502097 -5.4080328 -5.32816013 -5.47252423 -5.39513765\n", - " -5.75992141 -5.7716831 -5.77194614 -5.71939354 -5.83672306 -5.80465235\n", - " -5.68604585 -5.79634893 -5.62439133 -5.6774473 -5.68374577 -5.70158351\n", - " -5.6545861 -5.65044789 -5.65936873 -5.70276098 -5.7353863 -5.78126823\n", - " -5.63404803 -5.59413252 -6.44815354 -6.513721 -6.49073497 -6.39296496\n", - " -6.56768142 -6.43141266 -6.34286855 -6.50731874 -6.56810368 -6.16300496\n", - " -6.42567747 -6.47885866 -6.50560105 -6.6435576 -6.4316358 -6.28979541\n", - " -6.57758484 -6.51726112 -6.52939184 -6.54896747 -6.7128315 -6.45781498\n", - " -6.65983317 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-6.53631404 -6.51232736 -6.54604939 -7.15512415 -7.25371604\n", + " -7.19711076 -6.98089593 -6.93796647 -7.14481249 -7.0028551 -7.01277866\n", + " -6.86446533 -7.18138378 -7.0469604 -7.0917255 -7.02059149 -7.19709806\n", + " -7.10929809 -7.09757588 -7.03496533 -7.01630988 -7.14403744 -7.02561758\n", " nan nan nan nan nan nan\n", " nan nan nan nan nan nan\n", " nan nan nan nan nan nan\n", @@ -678,20 +705,20 @@ " nan nan nan nan nan nan\n", " nan nan nan nan nan nan\n", " nan nan nan nan nan nan\n", - " nan nan -5.22288049 -5.14673717 -5.12948563 -5.11461827\n", - " -5.19802574 -5.05094638 -5.11326981 -5.16650906 -5.07509659 -5.07436246\n", - " -5.22411137 -5.1294311 -5.14311676 -5.18995735 -5.06277713 -5.15754713\n", - " -5.12209037 -5.15701192 -5.14835036 -5.18011592 -5.44004382 -5.48640514\n", - " -5.39835862 -5.60063829 -5.56978708 -5.5486566 -5.52804806 -5.53258645\n", - " -5.67972077 -5.61009482 -5.53298062 -5.49883561 -5.66165345 -5.43805104\n", - " -5.50924027 -5.57518076 -5.55788842 -5.6165555 -5.56047351 -5.54795823\n", - " -6.52636962 -6.52434947 -6.47697241 -6.42131988 -6.33193184 -6.46541689\n", - " -6.52914047 -6.36447712 -6.36959748 -6.4788886 -6.37764679 -6.34867014\n", - " -6.40090063 -6.28353913 -6.42476167 -6.52613103 -6.58765952 -6.48126248\n", - " -6.39462401 -6.53498534 -6.82685502 -6.61335055 -6.58223568 -6.68771862\n", - " -6.67026619 -6.65661887 -6.56763389 -6.6836883 -6.84764822 -6.8460395\n", - " -6.58465816 -6.5923604 -6.52313467 -6.73860035 -6.63727092 -6.7254683\n", - " -6.56444003 -6.71202555 -6.55940918 -6.64777249 nan nan\n", + " nan nan -5.39738938 -5.38079106 -5.3923018 -5.3060259\n", + " -5.5380233 -5.36829461 -5.31206218 -5.36676445 -5.4305634 -5.41418515\n", + " -5.3995325 -5.41625083 -5.51233848 -5.32806396 -5.37604218 -5.30495311\n", + " -5.44473025 -5.35376888 -5.39470442 -5.39844245 -5.5415277 -5.62739757\n", + " -5.55218576 -5.52254264 -5.56258082 -5.48827193 -5.57307772 -5.64981534\n", + " -5.64923964 -5.74919155 -5.55077531 -5.52218954 -5.83158053 -5.53706381\n", + " -5.61278332 -5.55331891 -5.53050426 -5.66872213 -5.49724804 -5.51510606\n", + " -6.53225066 -6.64830432 -6.45494563 -6.48848104 -6.34773477 -6.6166628\n", + " -6.48395451 -6.37164209 -6.40806271 -6.4014871 -6.38524937 -6.42101867\n", + " -6.61623251 -6.47698936 -6.5687579 -6.53685093 -6.4563278 -6.49000115\n", + " -6.52431737 -6.5734751 -7.43909839 -7.26374908 -7.12908348 -6.99310143\n", + " -7.02973246 -6.8177417 -7.1870296 -7.06206145 -7.43004635 -7.04339076\n", + " -7.10411536 -7.21828719 -7.13995389 -7.15239091 -7.08778731 -7.03879194\n", + " -7.16154811 -6.96074688 -7.01796131 -7.03080328 nan nan\n", " nan nan nan nan nan nan\n", " nan nan nan nan nan nan\n", " nan nan nan nan nan nan\n", @@ -705,20 +732,20 @@ " nan nan nan nan nan nan\n", " nan nan nan nan nan nan\n", " nan nan nan nan nan nan\n", - " -4.98448407 -5.02507457 -4.93247179 -4.92906139 -4.96748311 -4.94203403\n", - " -4.9387752 -5.00661944 -4.94224026 -5.02843045 -4.92155128 -4.99690417\n", - " -4.98389323 -4.96017288 -4.99919508 -4.93480677 -5.00840005 -5.01310808\n", - " -4.95533999 -4.92532856 -5.41911845 -5.46486328 -5.54655607 -5.41261174\n", - " -5.48783365 -5.30235912 -5.49721981 -5.50506168 -5.4623197 -5.50178558\n", - " -5.4530093 -5.38804699 -5.38547187 -5.49229764 -5.32674485 -5.38296403\n", - " -5.37389633 -5.45172146 -5.43905269 -5.4069051 -6.38556131 -6.413713\n", - " -6.5692907 -6.3776548 -6.52825337 -6.22175329 -6.4196389 -6.39976861\n", - " -6.55018874 -6.47026458 -6.53503514 -6.53618594 -6.26546457 -6.47244915\n", - " -6.39532854 -6.40273941 -6.20885683 -6.42818791 -6.45390754 -6.43771307\n", - " -6.6618988 -6.77896678 -6.6357699 -6.68441837 -6.65275642 -6.59599737\n", - " -6.60110611 -6.70986504 -6.5456143 -6.89273932 -6.57695001 -6.59719718\n", - " -6.6640911 -6.44351792 -6.60824781 -6.64304958 -6.62943501 -6.52970465\n", - " -6.71383902 -6.67454936]\n", + " -5.08367846 -5.18535892 -5.15306679 -5.0897679 -5.24227234 -5.22648725\n", + " -5.10455269 -5.15119939 -5.07737567 -5.18528714 -5.07791844 -5.23650054\n", + " -5.26045529 -5.11444114 -5.20007612 -5.1548395 -5.25596173 -5.20630333\n", + " -5.15792876 -5.26337324 -5.60353316 -5.3637392 -5.40574354 -5.40940198\n", + " -5.44445189 -5.46083488 -5.41928986 -5.41994037 -5.49137874 -5.41926369\n", + " -5.45424213 -5.4073457 -5.37592626 -5.41369061 -5.4826103 -5.4304887\n", + " -5.55409814 -5.61826834 -5.45056639 -5.43011355 -6.53732648 -6.48348268\n", + " -6.41855927 -6.51234273 -6.42253816 -6.43424793 -6.46200622 -6.47889909\n", + " -6.51187627 -6.41473923 -6.31999138 -6.52160562 -6.81179198 -6.48094732\n", + " -6.28119831 -6.31623776 -6.59911147 -6.30995227 -6.30666572 -6.43595374\n", + " -7.31528174 -6.81912515 -7.02646759 -7.08670358 -7.18273333 -7.10314959\n", + " -7.05651837 -7.05816259 -7.18931309 -7.13776984 -6.92767401 -6.99449498\n", + " -7.06979048 -7.11022562 -7.09744469 -7.02986576 -6.85218872 -7.24356397\n", + " -6.97618259 -7.07550066]\n", " warnings.warn(\n" ] } @@ -781,7 +808,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "GradientBoostingRegressor was finalized in 7.3396 seconds\n" + "GradientBoostingRegressor was finalized in 7.1047 seconds\n" ] }, { @@ -798,8 +825,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "AdaBoostRegressor was finalized in 1.7686 seconds\n", - "KNeighborsRegressor was finalized in 0.0357 seconds\n" + "AdaBoostRegressor was finalized in 1.8835 seconds\n", + "KNeighborsRegressor was finalized in 0.0332 seconds\n" ] }, { @@ -873,8 +900,6 @@ "/home/sosamuli/anaconda3/lib/python3.10/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (750) reached and the optimization hasn't converged yet.\n", " warnings.warn(\n", "/home/sosamuli/anaconda3/lib/python3.10/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (750) reached and the optimization hasn't converged yet.\n", - " warnings.warn(\n", - "/home/sosamuli/anaconda3/lib/python3.10/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (750) reached and the optimization hasn't converged yet.\n", " warnings.warn(\n" ] }, @@ -1025,6 +1050,8 @@ "/home/sosamuli/anaconda3/lib/python3.10/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (750) reached and the optimization hasn't converged yet.\n", " warnings.warn(\n", "/home/sosamuli/anaconda3/lib/python3.10/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (750) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n", + "/home/sosamuli/anaconda3/lib/python3.10/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (750) reached and the optimization hasn't converged yet.\n", " warnings.warn(\n" ] }, @@ -1099,6 +1126,8 @@ "/home/sosamuli/anaconda3/lib/python3.10/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (750) reached and the optimization hasn't converged yet.\n", " warnings.warn(\n", "/home/sosamuli/anaconda3/lib/python3.10/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (750) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n", + "/home/sosamuli/anaconda3/lib/python3.10/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (750) reached and the optimization hasn't converged yet.\n", " warnings.warn(\n" ] }, @@ -1214,8 +1243,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "MLPRegressor was finalized in 106.0161 seconds\n", - "XGBRegressor was finalized in 5.5979 seconds\n" + "MLPRegressor was finalized in 67.2607 seconds\n", + "XGBRegressor was finalized in 4.6800 seconds\n" ] } ], @@ -1286,7 +1315,7 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ "
" ] @@ -1344,96 +1373,96 @@ "REF: Shahane et al. 2019\n", "bacterial membrane\n", "Number of lipids: 132\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.275187155783435 3.4751871557834377\n", + "Difference betweer predicted and literature (ML prediction and difference): 60.13171477263094 3.3317147726309457\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "mammalian membrane\n", - "Difference betweer predicted and literature (ML prediction and difference): 44.98285259290289 2.8828525929028856\n", + "Difference betweer predicted and literature (ML prediction and difference): 45.41372300941998 3.3137230094199808\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "cancer membrane\n", - "Difference betweer predicted and literature (ML prediction and difference): 51.482541012890835 5.382541012890833\n", + "Difference betweer predicted and literature (ML prediction and difference): 51.895236714367115 5.795236714367114\n", "Sum of fractions (should be 1): 1.01 \n", "\n", "REF: Kumar et al. 2021\n", "M13\n", - "Difference betweer predicted and literature (ML prediction and difference): 50.58459996141717 1.5245999614171666\n", + "Difference betweer predicted and literature (ML prediction and difference): 49.60580046397827 0.5458004639782672\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M12\n", - "Difference betweer predicted and literature (ML prediction and difference): 56.23408612619554 1.2640861261955436\n", + "Difference betweer predicted and literature (ML prediction and difference): 55.75627624443541 0.7862762444354132\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M11\n", - "Difference betweer predicted and literature (ML prediction and difference): 56.51669284550616 1.8966928455061591\n", + "Difference betweer predicted and literature (ML prediction and difference): 55.96787459776474 1.3478745977647435\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M10\n", - "Difference betweer predicted and literature (ML prediction and difference): 57.066555860460824 1.2265558604608202\n", + "Difference betweer predicted and literature (ML prediction and difference): 56.302852658316375 0.4628526583163719\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M9\n", - "Difference betweer predicted and literature (ML prediction and difference): 48.67821209944336 3.1382120994433578\n", + "Difference betweer predicted and literature (ML prediction and difference): 49.01062867462689 3.4706286746268944\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M8\n", - "Difference betweer predicted and literature (ML prediction and difference): 57.50967207790017 -0.9603279220998289\n", + "Difference betweer predicted and literature (ML prediction and difference): 55.62307721616854 -2.8469227838314595\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M7\n", - "Difference betweer predicted and literature (ML prediction and difference): 47.1483612601345 1.348361260134503\n", + "Difference betweer predicted and literature (ML prediction and difference): 47.29483640860609 1.4948364086060906\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M6\n", - "Difference betweer predicted and literature (ML prediction and difference): 58.594165378628915 1.794165378628918\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.801973129244026 2.0019731292440284\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M5\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.540220193981966 -0.15977980601803665\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.75990720590911 0.0599072059091057\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M4\n", - "Difference betweer predicted and literature (ML prediction and difference): 57.98851782799853 0.928517827998526\n", + "Difference betweer predicted and literature (ML prediction and difference): 55.20436273915646 -1.8556372608435439\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M3\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.136705317051884 1.6167053170518813\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.00612371917801 1.4861237191780035\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M2\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.38733061158003 2.36733061158003\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.183683886931156 2.163683886931153\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M1\n", - "Difference betweer predicted and literature (ML prediction and difference): 62.886080022523736 -1.9239199774762668\n", + "Difference betweer predicted and literature (ML prediction and difference): 62.82856355142486 -1.9814364485751454\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "REF: Oliveira et al. 2022\n", "M1\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.666716975726274 -1.4332830242737273\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.747577305127386 -2.3524226948726152\n", "Sum of fractions (should be 1): 0.9999999999999999 \n", "\n", "M2\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.53352947425624 -1.466470525743759\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.634250701657635 -2.365749298342365\n", "Sum of fractions (should be 1): 0.9999999999999999 \n", "\n", "M3\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.033654711554014 -1.6663452884459886\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.64988226706625 -2.0501177329337494\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M4\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.58066127105727 -2.019338728942735\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.80395788577043 -1.7960421142295715\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M5\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.38161777581794 0.1816177758179407\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.26126529569257 0.06126529569256434\n", "Sum of fractions (should be 1): 1.0 \n", "\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -1445,103 +1474,103 @@ "name": "stdout", "output_type": "stream", "text": [ - "OVERALL SCORE (MAE, RMSE, r2, Pearson): 1.8408043380386832 2.1612476191123475 0.8118909497572236 0.9666720717492208 \n", + "OVERALL SCORE (MAE, RMSE, r2, Pearson): 1.9795345292728155 2.3687647012639013 0.762441868137584 0.9466038681705725 \n", "\n", "MODEL NAME: Lasso \n", "\n", "REF: Shahane et al. 2019\n", "bacterial membrane\n", "Number of lipids: 132\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.299741794977145 3.4997417949771474\n", + "Difference betweer predicted and literature (ML prediction and difference): 60.15000409717076 3.3500040971707605\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "mammalian membrane\n", - "Difference betweer predicted and literature (ML prediction and difference): 45.06766485762063 2.967664857620626\n", + "Difference betweer predicted and literature (ML prediction and difference): 45.44931345685711 3.349313456857111\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "cancer membrane\n", - "Difference betweer predicted and literature (ML prediction and difference): 51.5694184479378 5.469418447937798\n", + "Difference betweer predicted and literature (ML prediction and difference): 51.93923747388793 5.839237473887927\n", "Sum of fractions (should be 1): 1.01 \n", "\n", "REF: Kumar et al. 2021\n", "M13\n", - "Difference betweer predicted and literature (ML prediction and difference): 52.47859561796659 3.418595617966588\n", + "Difference betweer predicted and literature (ML prediction and difference): 52.82549460971737 3.765494609717365\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M12\n", - "Difference betweer predicted and literature (ML prediction and difference): 57.047165959491124 2.0771659594911256\n", + "Difference betweer predicted and literature (ML prediction and difference): 57.12921266315508 2.159212663155081\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M11\n", - "Difference betweer predicted and literature (ML prediction and difference): 57.41479278703443 2.7947927870344316\n", + "Difference betweer predicted and literature (ML prediction and difference): 57.49430180489506 2.8743018048950617\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M10\n", - "Difference betweer predicted and literature (ML prediction and difference): 58.219755931784924 2.3797559317849206\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.2893866401208 2.4493866401207995\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M9\n", - "Difference betweer predicted and literature (ML prediction and difference): 48.79379273156417 3.253792731564168\n", + "Difference betweer predicted and literature (ML prediction and difference): 49.065023907230255 3.5250239072302563\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M8\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.282131092292374 1.8121310922923755\n", + "Difference betweer predicted and literature (ML prediction and difference): 60.47405958660448 2.004059586604484\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M7\n", - "Difference betweer predicted and literature (ML prediction and difference): 47.16177927328641 1.361779273286416\n", + "Difference betweer predicted and literature (ML prediction and difference): 47.28623805439814 1.486238054398143\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M6\n", - "Difference betweer predicted and literature (ML prediction and difference): 58.735300994594134 1.9353009945941366\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.87891916135868 2.0789191613586837\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M5\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.55179522607102 -0.14820477392898113\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.766290659560944 0.06629065956094138\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M4\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.615500205866226 4.555500205866224\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.558488377954475 4.498488377954473\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M3\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.13849490539519 1.6184949053951883\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.00046205845585 1.4804620584558492\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M2\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.406626913174605 2.3866269131746023\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.18859159936678 2.1685915993667777\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M1\n", - "Difference betweer predicted and literature (ML prediction and difference): 62.87036289761578 -1.939637102384225\n", + "Difference betweer predicted and literature (ML prediction and difference): 62.81233251754492 -1.9976674824550855\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "REF: Oliveira et al. 2022\n", "M1\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.768846388482515 -0.331153611517486\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.67791576245769 -0.4220842375423146\n", "Sum of fractions (should be 1): 0.9999999999999999 \n", "\n", "M2\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.636614234536765 -0.3633857654632351\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.56554016043642 -0.4344598395635799\n", "Sum of fractions (should be 1): 0.9999999999999999 \n", "\n", "M3\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.70008970951851 -0.9999102904814947\n", + "Difference betweer predicted and literature (ML prediction and difference): 60.81224443469826 -0.8877555653017453\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M4\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.70022494292302 -1.8997750570769796\n", + "Difference betweer predicted and literature (ML prediction and difference): 60.003866614994664 -1.5961333850053379\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M5\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.38095642430607 0.18095642430606773\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.25412392272832 0.054123922728315677\n", "Sum of fractions (should be 1): 1.0 \n", "\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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u3Jn//e9/VKpUKdk2UloeoGPHjuzZsyfBMQcHBypVqkSRIkVSfW+6mD59OmfOnMHa2pq5c+fqXC8wMBClFBCXNL7zzjts374dFxcXHj9+zNy5c1m3bh19+/aldOnS2nsrhBAiMaUUP/74I2PHjiUiIgJ7e3u2bt1K/fr1DR1a5siCweaZIjw8XFWuXFkBatq0aSoyMjLB+bCwMOXj45PgWPzMsqlTp+o1Fl1nwyX1Y2xsrH7++edk246PefDgwUoppWJjY5Wjo6OysrJSISEh6vr16wpQzZo109Zp3LhxkrPh4r18+VKtW7dODRw4UFWvXl0ZGxtr47GwsFD79+9PUP7t2XADBgxI9mfx4sVpvXVpsn79eqXRaJSRkZHavn17muo+fvxY+x5sbGzUs2fPEpVp3bp1onsphBCZLTRUKYj7CQ01dDSpe/XqlerWrZv2M7V9+/bqxYsXhg4rXXSdDZdjnyzNmTOHGzduMHToUKZOnZrovKWlZbJPjwzl7XWWnj9/zsmTJwkJCWH48OFUqFCBOnXqpNqGRqPB3d2d6dOns23bNm23YUoDu/+rQIECDBgwQLtm0suXL9m9ezdTpkzhyZMnDBgwgPv372NpaZmo7rp163S+jj7t2LFD+x5XrVpFt27d0lQ/f/782t/d3NySfEQ8YsQIfvvtN06ePElkZCSmpqYZC1oIIXKZixcv0qNHD+7evYuJiQnz5s1j7Nixel2UODvKkWOWoqKitJvwTZgwwcDR6G7IkCGsW7eOdevWsX//fvz9/WnatCkhISF0796d8PBwndoZOHAgGo2GlStXsnHjRmxtbXFzc0t3XAULFmTQoEHs378fiFv88vTp0+luT988PDzo3bs3sbGxrFixIk2JYTxra2ttglS2bNkky8Qfj4qKksHeQgjxFqUUS5YsoX79+ty9exdHR0dOnTrFZ599lusTJcihY5a8vb158eIFpUqVonz58ly9ehUPDw8eP36s3RKjdevWyQ529vb2ZtKkSQQGBmJra0uNGjVo3759gqcPWcHW1pZt27ZRuXJl7t+/z8KFC5kyZUqq9RwdHWnWrBnHjh0D4OOPP8bCwiLD8dSoUYMiRYrw4sWLbJMs7Nmzh549exITE8Py5cv56KOP0t1WzZo1OXjwYLLv7e3j1tbW6b6OEEKkxdvzazw9oWVLyE6z7V++fMmgQYO0Y1I7d+7M6tWrk13TL1fKml5B/Vq5cqUCVJ06ddTnn3+uNBpNorFANWrUUPfv309QL378T1I/tra2av369emKJ70reMdbuHChNoaXL18mGXP8mKV427ZtU4ULF1aFCxdWFy5cSHAuuTFLsbGxKb6Ply9fKlNTUwUoT09P7fGsXsE73t69e1W+fPmURqNRP/74Y4bbW716tQJU1apVVUxMTKLzU6ZMUYCqVKlShq8lhBC62LVLqdKl/x2zBErZ2cUdzw7Onj2r/Q4zNTVVS5YsSfW7JCfJ1St4BwQEAHGbrc6bN48RI0Zw8+ZNgoKCOHLkCBUrVsTHx4e2bdsmWOG5XLlyzJ49Gx8fHwIDAwkMDOTUqVO0a9eOoKAgBgwYwKZNm1K9fkREBMHBwQl+MmLEiBE4ODgQFBTEggULdKrTvXt37RMgXWbRAdSpU4cffviBwMDAROf++ecfBgwYQGRkJI6Ojrz//vtpeg/J6d+/P5UrV2bZsmVpqnfgwAG6du1KdHQ0P/74I8OGDdOp3vnz56lcuTKVK1dOdK5v376UK1eOa9eu8dVXXxEbG6s9d/z4ce3efKNGjUpTrEIIkR4eHtC1Kzx6lPD4o0dxxz08DBMXxHW7LViwgIYNG3L//n3Kli2Ll5cXn376aZ7odvuvHNkNp/5/CnhUVBS9evVK8EXcokULjhw5QqVKlbh27Rpbt26lX79+ANr/fVuDBg3Yt28fo0aNYunSpYwdO5Zu3bqlOLh3zpw5TJ8+XW/vx8zMjGnTpjFo0CAWL17M2LFj07TYoq5u377NyJEjGTVqFNWqVaNcuXKYmJjw6NEjzp07R1RUFIUKFWLr1q3Jbvnh7u6e4jVmzJihXfwS4MGDB9y8eTNN3XrPnj3Dzc2NyMhI7Ozs8PLywsvLK8my3377bYJlCcLDw7XrKf2XqakpHh4eNG3alK+//pqtW7fi7OzMo0ePOH/+PLGxsQwYMIDhw4frHKsQQqRHTAyMHh33LOm/lIpbzXvMGOjYMeu75AICAnB3d+fXX38F4v5xvnLlyixbWidbypLnXHq2dOlSbbfQiRMnkizTpUsXBaj+/fvr1GZAQIB2Cv3bXVBJefPmjQoKCtL++Pv7Z6gbTimloqOjVZUqVRSgJk2apD2eXDdcSpLrhrt69ar67rvvVPv27VXlypVVgQIFlImJiSpUqJCqX7++mj59unr+/Hmi9t7uhkvt57/LNcTHkpblGu7du6fz9e7du5dsrMl5/PixGjlypHJyclKmpqaqQIECqmnTpmrLli06xyiEEBlx/HjCrrfkfo4fz9q4Tp06pezs7BSgzMzM1PLly3NVt9t/6doNlyOTpf3792u/EB88eJBkmQkTJihAffDBBzq3G7+b/ebNm9MUj643WwghhFBKqc2bdUuW0vh1lG4xMTFqzpw52ocGFStWVL6+vllzcQPK1WOWXFxctH2mqc1s0nVWU0xMDEFBQQBZPitOCCFE3lKypH7LZcTz589p27YtkydPJiYmhj59+nDx4kWqV6+e+RfPIXJkslSiRAkaNmwIwNGjRxOdj4qK4o8//gDQaaFHgL179xIeHo5Go9F5wLQQQgiRHq6uYGcXNzYpKRoN2NvHlctMf/zxB87Ozhw8eBALCwt++uknNm7cKA8N/iNHJkuAdtXuOXPmcPbsWe3x6Ohoxo0bx927d8mfP792v7QHDx7w888/8+bNm0Rt7dmzhyFDhgDQp08fSpQokQXvQAghRF5lbAyLF8f9/t+EKf71okWZN7g7JiaGmTNn0qxZMx4/fsw777zD+fPnGTx4cJ6c7ZYajVJJjcXPGWbNmsWXX36JiYkJderUoUSJEnh7e+Pn54eFhQU7duygbdu2QNzOyDVq1MDa2poaNWpQunRpXr9+zfXr17l9+zYATZs2Ze/evWlekDA4OBhbW1uCgoKwsbHR+/sUQgiRO3l4wKhRCZcPsLePS5QysDFDiv755x/69u2rXdjY3d2dZcuWYWVllTkXzMZ0/f7O0ckSwOHDh1m0aBHnzp0jJCSEEiVK0Lx5cz7//PMEa+0EBATwzTffcOHCBe7cuUNAQACRkZEUKVKEmjVr0rt3b3r06JHsqt8pkWRJCCFEegUHQ/ys/AMHMncF72PHjtGnTx+ePn2KpaUly5cvp3///plzsRwgzyRL2YEkS0IIIdIrLAziOzRCQyEzHvDExMQwffp0Zs2ahVKKqlWrsn37dt555x39XywH0fX7O8eOWcpJnJyc0Gg0CX7MzMxwcHCgR48enDx50tAh5nlHjx6lTZs2FClSBAsLCypXrswXX3xBaGhoutqLjo7mhx9+oF69etjY2GBpaUm1atWYOXMmr1+/TrX+5cuXGTRoEGXKlMHc3JyCBQtSrVo1hg8frl3BXgghdPH48WOaN2/OzJkzUUrx0Ucfcf78+TyfKKWFPFnSg9QyUycnJ+7fv0+DBg0oX748AK9eveLixYs8evQIjUbDt99+y2effZbVoQvgu+++0+6c7erqSvHixTl58iT//PMPlSpV4tSpUwlWCU9NREQE7dq14+jRo5iZmWkTpnPnzvHs2TOqV6/OiRMnKFCgQJL1v/32WyZNmoRSipo1a1KuXDmCgoK4ffs2d+7c4erVq1StWlVP714IYWiZ+WTp0KFD9O3blxcvXmBtbc2KFSvo3bu3/i6Qw+ncM5SZiz3lFendSPf169eqf//+ClDGxsbq5s2bWRCteJu3t7fSaDTK2NhYHThwQHs8LCxMNW/eXAGqS5cuaWozfkHU0qVLq6tXr2qPBwcHq7Zt2ypA9e7dO8m6a9as0W7m+3bdeNeuXVOvXr1KUzxCiEwQGvrvypGhodmlKa2oqCg1adIk7QLO1atXl++YJOTqFbyzm/QmS0opFRISoqysrBSg5syZk8mRiv/q1q2bAtSQIUMSnfPz81NGRkYKUH/99ZdO7UVGRipra+tk/3s/efJEWVhYKI1Go27fvp3gXGBgoLKxsVEWFhbq77//Ttf7EUJksrczm2yaLD148EA1aNBAmyiNGDFCvX79OuMN50K5egXv3MTa2ppKlSoB4Ofnl+DcrVu3GDZsGOXKlcPc3BxbW1saNWrEzz//nGRb9+/fZ968eTRr1gwHBwfMzMwoUKAADRs2ZMWKFcTGxiaq4+fnh0ajwcnJiZiYGBYuXKhdYuHttTaePHnC6NGjqVixIubm5lhaWmJvb0/z5s359ttvk4zn/PnzdO/enVKlSmFqakqxYsVo3749R44cSbK8u7s7Go2GdevWce/ePfr160eJEiUwMzOjXLlyTJkyhYiICF1uq04iIyPZv38/QJKPpR0dHWnQoAEAu3fv1qnNv/76SzvOqUWLFonOlyhRgqpVq6KUYteuXQnOrV+/nuDgYLp06ULZsmXT9F6EEAJg//79ODs7c/r0aWxsbNi+fTvff/895ubmhg4tR5NkKRsIDg4GwMzMTHtsx44dVK9enZUrV2JqakqbNm2oVasW3t7e9OvXj0GDBiVqZ+PGjUyaNAk/Pz8qVqyIm5sbzs7OXLhwgY8//phu3bqhkhmippTCzc2NyZMnU7hwYTp06MB7770HxK3JUatWLZYsWUJERAStWrWiQ4cOlClTBl9fX2bNmpWovVWrVvH++++zY8cOSpQoQdeuXalQoQK//vorLVu2ZPr06cneD19fX5ydnTl58iSNGzemUaNGPHnyhK+//pqePXsmWSd+EP26deuSbfe/bt26RXh4OECyq7bHH/fx8dGpzbcHhBcuXDjJMvHjny5dupTg+KFDhwBo1KgRr1+/ZuPGjYwaNYqRI0eyaNEi/P39dYpBCJGzWFn9+5gqveOVoqKiGD9+PO3atSMwMJCaNWvi7e1Nt27d9BtsXpUVj7lyu4x0w12+fFnb1bNmzRqllFJXrlxRZmZmytzcXO3atStBeT8/P1WtWjUFqPXr1yc4d/78+STHuTx69EhVr15dAWr79u0Jzt27d0/7qNbOzi7JPu3p06crQA0dOjTR7tORkZHq6NGjCY5duXJFmZiYKI1GozZs2JDg3IEDB5SpqakC1OHDhxOcGzBggDaWL774QkVHR2vPXb16Vdtd6eXllSjGlO5xcvbu3asAVaBAgWTLLFy4UAGqVq1aOrV5+/Zt7Xu4du1akmUqVaqUZJulSpVSgFqwYIEqW7astp34H1NTU7VgwQKd358QIhNkQjdcRt27d0/VrVtX+1kxevRo9ebNG4PGlFPImKUslJ5k6dWrV2r//v2qXLlyClClSpVSof//f7gePXooQH377bdJtnf+/HkFqJo1a+oc46FDhxSgunXrluD428nSfxObeCNGjFCA8vDw0OlagwcPVoByc3NL8vwnn3yiAPXBBx8kOB6fLNWsWTNRUqaUUh9//LEC1IwZMxKda9asmapUqZLOMSql1KZNm7QDsZOzcuVK7Q7cunJwcNB+YP3X8ePHtff7v22amZkpQOXLl085Ojqqffv2qZcvX6q///5bff7550qj0ShAbc6qbciFyO3SM1gomyVLu3fvVgUKFND+w2/37t0GiyUn0jVZMtH/syqRnIEDB2r3qntbuXLl2LVrF1ZWVsTGxvLbb78B0KNHjyTbqVWrFtbW1vj4+PDmzZsEfdEREREcPnyYCxcu8OzZMyIiIlBKERISAsDNmzeTja9Lly5JHq9Tpw4//PCDdjp7y5YtU9wS5sSJE0DcGKSkDB48mGXLlnHy5EliYmIw/s9Ste3atUtyb6L4NUEevb0vwP+LX7Y/O5g6dSqDBw9m6dKl2NjYMHjwYGxsbDh27BgjR44kX758REVFJVotXv1/F2lsbCwHDhygSpUqABQoUIC5c+cSHBzM8uXLmTJlCr169cry9yWEyD4iIiKYOHEiS5YsAaBu3bps3boVJycnwwaWS0mylIXeXmcpfsBzvXr1aNWqFSYmcf8pAgICtGOY7O3tU20zICCA0qVLA3D27Fl69OjBgwcPki0f3/Z/FStWDEtLyyTP9evXjyNHjrBp0ya6dOmCsbExVapUoWHDhnTt2pVmzZolKB+fzJQpUybJ9sqVKwfAmzdvCAgIoFixYgnOOzg4JFkvfg2MpDZDTo/4XbXDwsKSLRM/BiktK7MPGjSIhw8fMmPGDGbOnMnMmTO156pWrcqQIUOYPXs2hQoVShRPQEAArq6u2kTpbSNGjGD58uXcvXuXe/fuJXt/hchzsmIJ7Gzk77//pkePHtpxj+PGjWP27NmYmpoaOLLcS5KlLDRkyJBkn7bEe3vG2oABA1JtM35QeHh4OJ06deLp06cMHDiQ4cOHU758eWxsbDA2NubWrVtUqlQp2QHeFhYWyV7DyMiIn3/+mf/973/s37+f06dPc/r0aZYvX87y5ctp3749u3fvTvSEKL3Ssz9fesT/C+zVq1eEhIRok6e3xQ+qTuu/1r766iv69u2Lh4cHf//9N6amptSrV48uXbowbdo0AKpVq5agTtmyZQkICEh2Jtzbx588eSLJkhB50I4dOxgyZAjBwcEUKlSI9evX065dO0OHletJspTNxG+38fr1a7799ludV4729PTk6dOnuLi4sGbNmkTnb9++neHYqlSpQpUqVZgwYQJKKX7//Xd69+7Nvn372LBhg7aLsXTp0vz999/cvXs3yZWm7969C4C5uXmipytZqVKlSlhaWhIeHs7Fixdp2rRpojIXL14EwMXFJc3tly1blvHjxyc6Hr+9zQcffJDgeM2aNblw4QIvXrxIsr23j6fUDSqEyH3evHnDZ599xvLly4G4nootW7bo1AMhMk6WDshmjI2NtV+i27dv17leYGAgkHwXVnJrM6WXRqOhefPm2vWJfH19teeaNGkCkOw0/vhkztXVVdv9aAimpqa0bdsWgM2bNyc6f//+fby8vADo3LmzXq559uxZTp06hb29PR07dkxwLn6K79mzZ5PsGoxfn8ra2lr2dBIiD7l9+zbvv/++NlGaPHkyx48fl0QpC0mylA1NnToVU1NTJkyYwPr165NcTPLatWt4eHhoX8d/eR47dozr168nKLty5Uq2bduW7ng2bNiQaE0ggJCQEO1gbkdHR+3x0aNHY2Jiwp49exIlaYcPH2bFihUAST51Sa/mzZtTuXJlnRePjDdp0iQ0Gg1r167l4MGD2uPh4eEMHjyYmJgYunTpQuXKlRPUO3/+PJUrV050HODly5dJDqQ/e/YsXbp0QaPRsHLlykSJYrNmzXB1deXZs2d88sknCRbgvHLlClOmTAFg+PDh5MuXL03vUwiRM23ZsgUXFxd8fX0pWrQoBw8eZPbs2fIZkNUyf2Je7peRdZaSs337dmVpaald/6hly5aqT58+qnXr1srOzk4BqkePHgnqdOzYUbseT8uWLVXPnj1V5cqVlUajUV988YUClKOjY4I68UsH/Pd4Uu2WKlVKtWnTRvXp00e1adNG2draKkBVrVpVBQcHJ6izYsUK7fpRLi4uqnfv3qpBgwba6e/Tpk1LdJ34pQOSu09r165VgBowYECic+m5x/Hi11LSaDSqSZMmqnv37qpkyZLaPdqeP3+eqM7bSwD8l4+PjwLUO++8o9q3b6969uypatSooV0WIH49raQ8ePBAOTk5aZc06NSpk2rUqJF2baoPPvhA1k8R4r/Su19ISvWSO5dFSweEh4erIUOGaD9nGjdurB49eqT36+R1ss5SFsqMZEmpuERm7NixqmrVqsrKykqZm5srR0dH1aRJEzV37lx1586dBOUjIyPVN998o6pVq6YsLS1VoUKFVMuWLdXhw4eTTYp0SZY8PT3VmDFjVJ06dVSJEiWUqampKlGihHr//ffV0qVLtetD/dfZs2dV165dVYkSJZSJiYkqXLiwatu2baLFKOMZKllSSqkjR46oVq1aqUKFCikzMzNVoUIFNXny5ERJYLyUkqVnz56pYcOGqXfffVfZ2NgoMzMzVaZMGfXRRx+pGzdupBrLq1ev1KRJk1TFihWVmZmZyp8/v6pXr55avnx5goU6hRD/L5clS9evX1dVq1bV/iPuq6++UlFRUXq9hoija7KkUSqZ6VFCZ8HBwdja2hIUFJSmKeZCCCH0IL1LB6RUL7lzbx+Pp8flCtavX8+IESMIDw+nePHibNq0iebNm+ulbZGYrt/fMmZJCCGEMLCwsDDc3d1xd3cnPDyc5s2b4+vrK4lSNiHJkhBCCGFA165do3bt2qxfvx4jIyNmzJjBoUOHKFGihKFDE/9P1lkSQgghDEApxZo1a/jkk0948+YNpUqVYvPmzTRu3NjQoYn/kGRJCCGEyGIhISEMHz6cTZs2AfDhhx+yceNGihYtauDIRFKkG04IIYTIQpcvX6ZWrVps2rQJY2Nj5syZw4EDByRRysbkyZIQQgiRBZRSrFixgjFjxhAREYGdnR1bt26lQYMGhg5NpEKeLAkhhBAZ4ekJMTEpFgkKCqJnz54MHz6ciIgI2rVrh6+vryRKOYQkS0IIIYSukkqK2rQBJyd4awuqt126dImaNWuyfft2TExMWLBgAXv37qVw4cKZG6vQG0mWhBBCCF14eECZMkmfe/QIunZNkDAppVi6dCn169fn77//xtHRkVOnTvHZZ5+h0WiyKGihD5IsCSGEEKnx8IhLhgIDkz4fvxnGmDEQE8PLly/p0qULo0aNIjIykk6dOuHj40PdunWzLGShP5IsCSGEECmJiYHRo/9NiJKjFPj7c33FClxcXNi9ezf58uVj8eLFeHh4ULBgwayJV+idzIYTQgiRN709/sjTE1q2BGPjxOVOn4aHD3Vudvann+IXG0vZsmXZtm0btWrV0kOwwpDkyZIQQoic7b9JTyoz04C4brUqVf59ndIg7X/+SVM4D2Nj6datG97e3pIo5RKSLAkhhMi50pL0vF2na9e4QdlvS2KQNgA67tEWC/gDPZctY9u2bdja2upUT2R/kiwJIYTImdKa9EDK44/+M0hbq0EDsLODFGawxbcW/e23fDxypMx2y2UkWRJCCJHzpCfpATh5MuXxR/8/SJvTp/89ZmwMixfH/Z5MEhRiakrEzz9TZtw43d+DyDEkWRJCCJHz6Jr0nDyZ8PiTJ7q1/99xSm5usHMnlCqV4HAAcKltW/KHhWHRp49ubYscR5IlIYQQOY+uSc9/y5UsqVu9tze1/f9B4zEdO/K1uzvNgF5Af+AJUHPbNjQmMrk8N5P/ukIIIXIeXZOe/5ZzdY0bf/ToUdJdeBoNFCoEw4b9e6xNG2JKlmRW0aJMu3IFgAHA94BVuoIXOY1GqdRW2Upes2bN9BOERsOxY8f00pYhBAcHY2trS1BQEDY2NoYORwghcr+YmLhZbyklPXZ2cO9e4rWT4geGQ8K6Gk2yC0/G/v//9jE1pVVkJAPePhkaClaSNuVEun5/Z+jJ0okTJzJSXUtmDQghhEiT+EHXXbsmTnLiv1MWLUp6kcn48UejRiWcSVe6NLx+DQEBiaoYEZcwbShYkHxPn+rznYgcIENPloyMjGjVqhWff/55ugOYO3cuhw8fJkaXRcSyKXmyJIQQBuLhkTjpsbePS5Tc3FKuGxwM8WshHTgApqbQokXaY5AnSzlWljxZAihRogSNGzdOd/1169ZlNAQhhBB5lZtbXILzdtKT3LYl//V2mUaNYO/ezIlR5HgZmg1XsWJFSuo6yC4ZJUqUoGLFihlqQwghRB7236RHl0QpCTHFiukpIJHbZKgbTsSRbjghhDCgsDCwto77PS1dYm/Ve3jzJn0GDeLn06cpTTJPEjSauHFN/13fSbrhcixdv79lnSUhhBB52n7A+f338Tx9mskWFmgg8Urd8a/nzcvi6ER2IMmSEEKIPCkqKooJQDsgIDCQmjVrMv3qVTS7diVaqRs7u7gZdB07GiJUYWDpSpaeP3/O5cuXCQ0NTfJ8SEgInp6eGQpMCCGEyCz379+n0Ycf8u3/vx41fDinT5+mXLlycYPGr1//t/CBA3HrNaU2u07kWmlKlqKjoxk4cCAlSpTAxcWFokWLMmbMGF6/fp2g3PXr12natKleAxVCCCH04ZdffsHZ2Zmz589TAPAAFn/zDWZmZv8W0tOgcZE7pClZWrJkCdu2bWPGjBns37+fMWPGsGrVKurXr89TWaRLCCFENhYZGcmYMWPo1KkTr169ok6tWvgAnQ0dmMj20pQsrVmzhi+//JIvvviCVq1aMWfOHC5cuEBYWBj169fnzp07mRWnEEIIAcRNYtNo4n7CwnSrc/fuXRo0aMDixYsBGDduHCcPH8Yp88IUuUiakqV79+5Rv379BMeqVKnCmTNnKFSoEA0aNMDb21uvAaYmMjKSJUuW0LBhQwoVKoS5uTl2dna0bt2abdu2JVnn6NGjtGnThiJFimBhYUHlypX54osvkh2DJYQQIufauXMnNWrU4OLFixQqVIi9e/fy7bffYmpqaujQRA6RpmSpSJEiSXa3FS5cmOPHj/Puu+/StGnTLNsU9+HDh9SoUYPRo0dz8+ZNGjRoQKdOnXB0dMTT05MdO3YkqvPdd9/xwQcfcPDgQd59913at29PUFAQs2fPplatWrx48SJLYhdCCJG53rx5w8iRI+nWrRvBwcHUr18fX19f2rdvb+jQRE6j0qBz586qV69eyZ6PiIhQnTp1UhqNRhkZGaWl6TQLDw9XlStXVoCaNm2aioyMTHA+LCxM+fj4JDjm7e2tNBqNMjY2VgcOHEhQtnnz5gpQXbp0SXMsQUFBClBBQUHpei9CCCF0FxqqVNzOuXG/Jz6g1K1bt5Szs7MCFKAmTZqU6Hvi7XqhT0NTbTPRxZM6L3IUXb+/0/RkqXfv3ty7d4+AJHZkBjA1NWXXrl0MHToUBweHDKZxKZszZw43btxg6NChTJ06lXz58iU4b2lpibOzc6I6SikGDhxI69atE5RdvXo1RkZG7Nq1ixs3bmRq7EIIITLPli1bcHFxwdfXlyJFivDbb78xZ86cRN8TQugqTclS165dOXPmDIULF06+QSMjfvzxR+7du5fh4JITFRXF8uXLAZgwYYJOdSIjI9m/fz8Ql/T9l6OjIw0aNABg9+7deopUCCFEVnkNDP3kE3r37k1oaCiNGjXC19eXVq1aGTo0kcOZGDqA9PD29ubFixeUKlWK8uXLc/XqVTw8PHj8+DEFCxbE1dWV1q1bY2T0by5469YtwsPDAahVq1aS7daqVYuTJ0/i4+OTJe9DCCGEftwAugNX161Do9EwZcoUvvrqK0xMcuTXnMhmcuRf0ZUrVwCws7Nj0qRJzJ8/H/XWfsDz5s2jRo0a7NmzR9sdGP+kq0CBAuTPnz/Jdu3t7ROUTU5ERAQRERHa18HBwel/M0IIIdIkJubf3z094emDLYwEwoHixYrx86ZNtGjRIvMDkQ1084wcuTdc/JgpHx8f5s2bx4gRI7h58yZBQUEcOXKEihUr4uPjQ9u2bYmKigLitmABsErhD9v6/3efTi35mTNnDra2ttqf+CRLCCFE5vLwgCpV/n3dpg0M/PhDwulMM8D3zJnMTZSsrP4d2i2JUp6RpcnSmzdvOH/+PCtXrmTEiBHpbif+KVJUVBS9evVi2bJlVKxYERsbG1q0aMGRI0cwNzfn2rVrbN26VV/ha02ePJmgoCDtj7+/v96vIYQQIiEPD+jaFR49+u+Z0sBOhtOZEsWLp6vt/z6tevu1EGnuhnv8+DHHjx/H0dGRhg0bJlvu6dOn+Pr6cvnyZXx9ffH19eX27dvExsZqy/zwww/pCvrtbrRhw4YlOu/g4EDbtm3ZtWsXR48epV+/fto6YSks9xq/KKWNjU2K1zczM0u4h5AQQohMFRMDo0fH/2NZ85+zRmiI5TMW0TkG0rqLmwedGVXTQvu6TRuwK23BYjrjhkz4EWlMls6cOUObNm0IDw8nOjqaL774gunTp3Pr1i1tQhSfIP138cr4p0FGRkaUKVOGd999N91Bly1bNsnfkyrz5MkTAJycnAB49eoVISEhSY5bin9CFF9WCCFE9nDyJDx8CIkTpTgKI/xx4OTp1zRpnWSRJHnQma7sRD1J2O6jxxq6spOddMUt/WGLXCJNydK4ceOwsrLi9u3bHDlyhH79+rFw4UJev36tLfP2QOvChQvz3nvv8eeff/L8+XMuXrzIO++8g7m5eYaCdnFxQaPRoJTixYsXSY4Zil+JO34cUqVKlbC0tCQ8PJyLFy/StGnTRHUuXryobV8IIUT2cfbsfcAx1XJP/kk6mUpKjLkVo+08UA8Tn1NKgwbFGBbRMR1Pq0TukqYxS1evXsXV1ZUiRYrg5uZGbGwsr1+/xtjYmHfeeYeePXsyZ84cDhw4wMOHD3n+/DnHjh2jQoUKANSoUSPDiRJAiRIltF2AR48eTXQ+KiqKP/74A4A6deoAcQtmtm3bFoDNmzcnqnP//n28vLwA6NxZ9qAWQojsQCnFihUr+Oqrj3QqX7KM7t8x/z6tSuba2qdVOXIulNCntCwLXqNGDVWpUiUVFRWljh8/rjQajdJoNKpkyZJq3bp1ydZr2LCh3rc/OXr0qAJUwYIF1ZkzZ7THo6Ki1KeffqoAlT9/fvXPP/9oz126dEm73clvv/2mPS7bnQghRPYTFBSkunfv/v9blhgpc/NnSqOJTbTbCCil0Shlb69UdLTu7W/enLidpH42r3mdeW9SGJSu399pSpaOHTumLCwslJ2dnbKyslLFihVTY8aMUWZmZsrIyEi9//776uLFi4nqZUaypJRSM2fOVIAyMTFR9evXV25ubsrJyUkBysLCQv3666+J6ixcuFABSqPRqCZNmqju3burkiVLKkBVqlRJPX/+PM1xSLIkhBD6denSJVWuXDntZ/y3336rduyIURpNXGL030RJo1Fq1660XeP4cd2SpeMHwjPlPQrDy5RkSSmlbt68qebOnau+/fZb9eTJE6WUUjdu3FAtW7bUPrUZPHiwevbsmbZOZiVLSil16NAh1bp1a1WoUCGVL18+ZW9vr9zd3dVff/2VbJ0jR46oVq1aqUKFCikzMzNVoUIFNXnyZBUcHJyuGCRZEkII/YiNjVVLly5VpqamClCOjo4Jeg927VKqdOmEyYy9fcqJUnJ74kZHK2Vnlzj50iZhxCh77qvoINkoN7fS9ftbo9RbI7IzyMPDg7Fjx+Lv74+trS1Tp07l008/pUmTJnh5eRGTSxeuCA4OxtbWlqCgoFSXHRBCCJG0V69eMXjwYDw8PADo1KkTa9asoWDBggnKBQeDrW3c7wcOQMuWYJzCCOywMPj/uT6JFt2OX7sJ4lKkeBpNXM60k664hW6UBShzKV2/v/U6as3NzY0bN27wv//9jzdv3jBu3DiqVavGgwcP9HkZIYQQucz58+epUaMGHh4e5MuXj8WLF+Ph4ZEoUYKEiVGjRiknSqlxc4OdO6FUqYTH7ew07NxlhJvykERJ6H8FbwsLC2bNmsW1a9f48MMPuXHjhnb9ojt37uj7ckIIIXIwpRTfffcdDRs2xM/Pj7Jly+Ll5cWoUaPQaHRfBiAj3Nzg+vV/Xx84APfuxR0XAjJxu5Ny5cpx4MABdu/eTZkyZVBKUbVqVcaPHy8bzwohhCAwMJCOHTvy2WefERUVRdeuXfH29qZWrVpZHos+n1aJ3CfTF4/o2LEj169f56uvvsLIyIjvvvuOChUqsHLlysy+tBBCiGzKy8sLZ2dn9u3bh5mZGT/88APbt2/HNn4wkhDZSJastGVmZsa0adO4fv06bdu25fnz5xnaSFcIIUTOFBsby/z582nUqBH+/v5UqFCBs2fPMnz48CzrdhMirbJ0WVInJyf27t3Lvn37KFOmTFZeWgghhIE9f/6cdu3a8fnnnxMTE0OvXr24dOkSzs7OaWrHyurfCf66jL1+eyK2p2fC10LowiBruLdt25Y///zTEJcWQghhAJ6enjg7O/Pbb79hbm7OqlWr2LRpU5KbmuuThwdUqfLv6zZtwMkp7rgQuspQsjR79mz279+frrqmpqYA7N+/n9mzZ2ckDCGEENlUbGwsX3/9NU2bNuXx48dUrlyZ8+fPM2TIkEzvdotfQ+nRo4THHz2KOy4Jk9BVhhalNDIywt3dnTVr1qQ7gIEDB7Jhw4YcvWClLEophBCJPX36lH79+nHkyBEA+vfvz/fff491/AqRmSgmJu4JUnIb5Wo0YGcXt0SAzHzLuwyyKKUQQggB8Pvvv+Ps7MyRI0ewtLRk7dq1rF+/PksSJYCTJ5NPlCBuvJO/f1w5IVJjktEGdu7cyYkTJ9Jd/8WLFxkNQQghRDYRExPDzJkzmTFjBkop3n33XbZv306VtwcOZYEnT/RbTuRtGU6WQkNDCQ0NzVAbMl1UCCFyvsePH9OnTx/tP6AHDx7MkiVLsLS0zPJYSpbUbzmRt2UoWbp3756+4hBCCJGDHT58mL59+/L8+XOsrKxYsWIFffr0MVg8rq5xY5IePUq4QW68+DFLrq5ZH5vIeTKULDk6OuorDiGEEDlQdHQ0U6dOZc6cOSilqF69Otu3b6dixYoGjcvYGBYvjpv1ptEkTJjiOzMWLZLB3UI3MsBbCCFEujx8+JCmTZsye/ZslFJ8/PHHnDlzxuCJUjw3N9i5E0qVSnjczi7uuGyUK3SV4TFLQggh8p4DBw7Qv39/AgICyJ8/Pz/99BPdu3c3dFiJuLlBixYQv+XcgQPQsqU8URJpI0+WhBBC6CwqKoqJEyfStm1bAgICcHFxwdvbO1smSvHeTowaNcpYohQWFteNp9HE/S7yBkmWhBBC6OT+/fs0atSIb775BoBPP/0ULy8vypcvr5f2JRER2ZV0wwkhhEjVL7/8wsCBA3n58iW2trasWbMGNxn0I/IIebIkhBAiWZGRkYwdO5ZOnTrx8uVL6tSpg4+PjyRKIk+RZEkIIUSS7t27R8OGDVm0aBEAn332GSdPnqRMmTIZale620ROI91wQgghEtm1axeDBw8mKCiIggULsn79etq3b2/osNLFyirphSmF0FWmJUvXr1/Hy8uL58+f8+6779KhQwcAYmNjiY6OxtTUNLMuLYQQIp3evHnD+PHj+f777wGoX78+W7ZswcHBwcCRCWE4eu+G8/f3p0WLFlSrVo1hw4YxZcoU9uzZoz2/atUqLCwsOHbsmL4vLYQQIgNu375N/fr1tYnS559/zokTJ7IsUYqJ+fd3T8+Er7OLnBCj0D+9JkuBgYE0btyY33//nXfffZfhw4ej/vPss3v37hgZGbF37159XloIIUQGbN26lZo1a+Lj40ORIkU4cOAAc+fOJV++fFlyfQ8PqFLl39dt2oCTU9zx7CInxCgyh16TpXnz5uHn58f48eO5fPkyy5YtS1SmYMGCVKtWjVOnTunz0kIIIdLh9evXDBs2jF69ehESEoKrqyu+vr60bt06y2Lw8Ijbw+3Ro4THHz2KO54dkpGcEKPIPHpNln755RecnJyYO3cumvidCpNQtmxZHj9+rM9LCyGESKMbN25Qt25dVq5ciUajYcqUKfz++++ULl06U6/7dtfV8eMwenTSA7Djj40Zo1t3V0xsDCf8TrDl6hZO+J0gJlY/fWQxMfqLUeRMek2W7t+/j4uLC0ZGKTdrampKYGCgPi8thBAiDTZu3EitWrW4evUqxYoV4/Dhw8ycORMTk8ydJP3frqz27eHhw+TLKwX+/nDyZCrt/uWB02Inmq5vSm+P3jRd3xSnxU54/JXxRz4nT+onRpFz6TVZMjc3JyQkJNVyDx48wDZ+V0MhhBBZJiwsjEGDBtG/f3/CwsJo1qwZvr6+tGjRItOvnVxXli6ePEmh3b886Lq9Kw+DE2Y0j4If0XV71wwnTCldOz3lRM6j12SpcuXKeHt7E5bCKmMvXrzg8uXLvPfee/q8tBBCiFT8+eef1KlTh7Vr12JkZMT06dM5fPgwJUuWzPRrp9SVpYvkQoyJjWH0wdEoEjccf2zMwTEZ6pLT9fZkwW0UBqLXZKlr164EBATw2WefERsbm2SZCRMmEB4eTo8ePfR5aSGEEMlQSrF27Vpq167N9evXKVmyJMeOHeOrr77C2Ng4S2JIrSsrORoN2NuDq2sy7T44meiJ0tsUCv9gf04+SH8fmasr2NnFxZKeGEXOp9dkaeTIkVStWpWffvqJOnXqMHv2bAD+/vtvFi5cyPvvv8+GDRtwdnbG3d1dn5cWQgiRhNDQUPr378+gQYN4/fo1LVu2xNfXlyZNmmRpHOnpoopPThYtguRyuichujWsa7mkGBvD4sUJY4qnS4wi59PrSD5zc3MOHTpEt27d8PLywsfHB4BTp05x6tQplFLUrl2bPXv2ZNnaHUIIkVdduXKFbt26cevWLYyNjZk5cyaff/55qpNw0issDKyt434PDY3bZiReerqo7OzikpCU9uwtmV+3hnUtlxw3N9i5E0aNSjjmSpcYRc6nUf9dNVJPDh06xP79+7l79y6xsbHY29vTunVrOnbsmOKyAjlRcHAwtra2BAUFYWNjY+hwhBB5nFKKlStXMnr0aCIiIihdujRbt26lYcOGmXrdlJKlmJi4BRwfPUp63JJGA6VK/ZuIHDgALVum/rQmJjYGp8VOPAp+lOS4JQ0a7GzsuDf6HsZGGX/0ExwM8fOTdI1RZF+6fn/rNVl68OABGo0Ge3t7fTWZI0iyJITILoKDgxk6dCjbtm0DoE2bNqxfv54iRYpk+rVTSpbg39lwkDBhiv/3888/Q58+yddPTvxsOCBBwqQhruGd3Xfi9o5+Hv2k9h5FzqLr97den8U6OTnRs2dPfTYphBBCR97e3tSsWZNt27ZhYmLCN998w759+7IkUdJFfFdWqVIJj9vZxR3v2DGd7b7jxs7uOyltk3AxTTsbO70mSiLv0uuYJRsbG8qUKaPPJoUQQqRCKcX333/PuHHjiIyMxMHBgW3btlGvXj1Dh5aImxu0aJF0V1YKq86k3u47bnSs1JGTD07yJOQJJfOXxNXBVS9db0LoNVmqUqUK/v7++mxSCCFECl69esWQIUPYtWsXAB07dmTNmjUUKlTIwJEl7+0xPo0a6W/Mj7GRMU2cmuinMSHeotduuI8++ojTp09z4cIFfTYrhBAiCRcuXMDFxYVdu3aRL18+Fi1axO7du7N1oiRETqTXZGngwIGMGDGCli1bMnv2bG7evElERIQ+LyGEEHmeUopFixbRoEED7t27R5kyZTh9+jSjR4826GzjtzeS9fTMnRvLWlnFDU5XSgZ35yV6nQ2XlpVgNRoN0dHR+rq0QclsOCFEVgkMDGTgwIHs3bsXgC5duvDTTz9RoEABg8bl4ZH0GkSLFydeg0hmlInswiCz4ZRSOv8ktx2KEEKIpJ05cwZnZ2f27t2Lqakp33//PTt27MgWiVJSG+Q+ehR33CNj+9gKYXB6TZZiY2PT9COEECJ1sbGxzJ8/H1dXV/z9/Slfvjxnz55lxIgRBl/kN6UNcuOPjRmTO7vkRN6ROWveCyGE0IsXL17Qrl07Pv/8c2JiYujZsyeXLl2iRo0aGW47LCxuQUiNJv3T9lPbIFcp8PePKxdPxv2InEaSJSGEyKZOnjyJs7Mzv/32G+bm5qxcuZLNmzdnq7GRum6Qm56NdIXILvS6ztKDBw/SVN7BwUGflxdCiFwhNjaWOXPm8NVXXxEbG0ulSpXYvn077733nqFDS0TXDXLTs5GuENmFXpMlJycnnfvPc9NsOCGE0JenT5/Sr18/jhw5AkC/fv344YcfsI6fPpbNuLrGzXpLaYNcO7u4ckLkVHrthnNwcEjyx87ODmNjY+1MOAcHhwxvtuvu7o5Go0nx582bNwnqrFu3LtU6Bw8ezFBcQgiRXsePH8fZ2ZkjR45gYWHB2rVr2bBhQ7ZNlCBu9e3Fi+N+/++/leNfL1qkv1W6hTAEvT5Z8vPzS/ZcdHQ0Bw8e5NNPP6Vp06asWbNGL9ds0KAB5cuXT/Jccus+lStXjoYNGyZ5rnTp0kkeF0KIzBITE8OsWbOYMWMGsbGxvPvuu2zfvp0qVaoYJJ60roMUv0FuUussLVqUeJ0lIXIavSZLKV7IxIR27dphb29PnTp1qFevHkOHDs1wu0OGDMHd3T1NdRo2bMi6desyfG0hhMioJ0+e0KdPH44fPw7AoEGDWLp0KZaWlgaOLG1S2iBXiJwuy2fDVa9enVq1avHjjz9m9aWFECJbOXLkCM7Ozhw/fhwrKys2btzI6tWrsyxR0vf2JJm1Qa4QhmaQpQNKly7NrVu3DHFpIYQwuOjoaKZMmcKHH37Is2fPeO+997h06RJ9+/bNshg8PODtXr42bcDJSVbbFiIpWdYNF08pxZUrV8iXL59e2jt+/DhXr14lJCSEwoULU6dOHdq0aYOZmVmyde7cucOUKVN49uwZ1tbWVK1alQ4dOlCkSBG9xCSEEMl5+PAhvXv35uT/r9I4bNgwvvvuOywsLLIshvjtSf47ey1+e5Kff86yUITIEbI0WXrx4gVTpkzh9u3btGzZUi9tbtiwIdGxkiVLsmbNGlq1apVkndOnT3P69OkEx8zNzZk2bRqff/55qteMiIggIiJC+zo4ODiNUQsh8qIDBw7Qv39/AgICyJ8/P6tWraJHjx5ZGkNq25NoNKDDx6AQeYpeu+HKli2b7E/RokUpXrw4K1euJF++fEyfPj1D16pevTqLFy/m2rVrBAcH8/TpUw4fPkz9+vV58uQJHTp04MSJEwnqlChRgi+++IJz587x/PlzgoODuXDhAv379yciIoJJkyYxe/bsVK89Z84cbG1ttT8ZXQZBCJG7RUVFMXHiRNq2bUtAQAAuLi54e3tneaIEum1P8vZ5fYxlEiKn0yiV1L8v0sfIKOXcy9TUlEaNGjFr1izq1Kmjr8smoJSic+fO/PLLL1SvXh1fX1+d6i1cuJBx48ZhZmbG/fv3KV68eLJlk3qyZG9vT1BQULbahkAIYXgPHjygZ8+enDlzBoBPP/2Ub775JsWhAplpyxbo3Tttdezs4tZSkiUARG4THByMra1tqt/fek2W7t+/n+w5U1NTihYtiolJ5vf8Xb58GWdnZyDug0qXJz8xMTGUKFGCFy9esGHDBvr166fz9XS92UKIvGXv3r24u7vz8uVLbG1tWbNmDW4GzjhOnICmTdNWJ35xyZ07JWESuYuu3996zVwcHR312Vy6vfPOO9rfHz58qFOyZGxsTIUKFXjx4gUPU3pGLYQQqYiMjGTSpEl89913ANSuXZtt27ZRpkwZA0eW+vYkSYkfyzRmDHTsKEsCiLxHr2OWPD09dVoS4Pbt23h6eurz0gkEBARof8+fP3+a66WljhBCvO3evXs0bNhQmyiNHTuWU6dOZYtECVLeniQlSoG/f9yYJyHyGr0mS02aNGHevHmplps/fz5N0/ocOA22bt0KgI2NDZUqVdKpjre3tzbRy6zxVEKI3M3Dw4MaNWpw4cIFChYsyC+//MLChQsxNTU1dGgJxG9PUqpU2us+eaL/eITI7vS+KKUeh0Aly9fXl7179xIdHZ3geGxsLKtXr+Z///sfAKNGjdKu5xQeHs73339PSEhIovY8PT3p0qULELcViiRLQoi0ePPmDZ9++ildunQhKCiI999/H19fXzp06GDo0JLl5gbXr//7eu5c3eqVLJk58QiRnWX5opQAL1++xNzcPN31/fz86Ny5MwULFsTFxYXixYvz6tUrrl27xoMHDwDo1asXU6dO1daJjIzkk08+Ydy4cdSoUQMHBweio6O5desW165dA6BatWps3749Y29OCJGn3Llzh+7du+Pj4wPAxIkTmTVrlt4W3s1Mb489Gj4cli1LfiyTRhM31snVNeviEyK7yHCyFJ+cxAsNDU10LF50dDR//vknhw8fply5cum+ZvXq1RkzZgwXL17kxo0bnD59GqUUxYsXp2vXrgwcOJA2bdokqGNpacmXX36prfPnn3/y+vVrChYsSIsWLejWrRvu7u7Z7nG5ECL72rZtGx999JF2B4ENGzYk+uzJKeLHMnXtGpcYvZ0wxY9tWrRIBneLvCnDSwcYGRmh+f//JymltL+nRCnF3LlzmThxYkYunW3I0gFC5C2vX79m7NixrFixAgBXV1c2b96MnZ2dgSNLm7AwsLaO+z00FKys4rZCGTUq7glTPHv7uERJlg0QuU2WLR3g4OCgTZAePHiApaVlsnusmZqaYmdnR5cuXRg+fHhGLy2EEFnu5s2bdO/enStXrqDRaPjiiy+YOnVqlqwhlxXc3KBFC7C1jXt94AC0bClPlETeluH/d/v5+Wl/NzIyolu3bqxZsyajzQohRLbz888/8/HHHxMWFkaxYsX4+eef+eCDDwwdlt69nRg1aiSJkhB6/afQ2rVrKV++vD6bFEIIgwsPD+fTTz/V/kOwadOmbNq0iZI5fGqYlZXuC1MKkZfpNVkaMGCAPpsTQgiDu379Ot26deP69etoNBqmTp3KlClTMJbHLULkGZnSyf7kyRN++eUXbt68SXBwcJJrL2k0GlavXp0ZlxdCiAxTSrFu3TpGjhzJ69evKVGiBJs3b87UBXWFENmT3pOlpUuXMmHCBKKiorTH4pOl/86ak2RJCJEdhYaGMmLECDZu3AjABx98wM8//0yxYsUMHJkQwhD0uoL3sWPHGD16NObm5kyaNIn3338fgBUrVjBu3DicnJwAGDNmjAwCF0JkS1euXKF27dps3LgRIyMjvv76aw4ePCiJkhB5WIbXWXpbhw4d2L9/P15eXtStW5eBAweyYcMGYmJiAIiIiGD48OF4eHjg7e1N2bJl9XVpg5J1loTI+ZRSrFq1itGjR/PmzRtKly7Nli1bcJUlq4XItXT9/tbrk6Xz58/j4uJC3bp1kzxvZmbG8uXLMTc3Z8aMGfq8tBBCpFtwcDC9e/dm2LBhvHnzhtatW+Pr6yuJkhAC0HOy9PLlywTbmMTvjfT69WvtMTMzM1xdXTl27Jg+Ly2EEOni4+NDzZo12bp1K8bGxsyfP59ff/012cV1hRB5j16TpUKFChEWFqZ9XbBgQSDx/nExMTEEBATo89JCCJEmSim+//576tWrx507d3BwcODkyZNMmDABIyO9fjQKIXI4vX4iODg44O/vr31dtWpVlFL8+uuv2mOhoaGcPHkyx+2hJITIPV69ekX37t355JNPiIyMpEOHDvj4+GgnpQghxNv0unRA48aN+e6773j69CnFixenbdu2WFlZ8b///Y9//vkHBwcH1q9fT2BgID179tTnpYUQQicXLlygR48e3Lt3j3z58jF//nxGjx6t0ybgQoi8Sa/JUrdu3fDx8cHX15cPP/yQQoUKsXDhQj7++GMWLlwIxD36dnJyYvr06fq8tBBCpEgpxeLFi5k4cSJRUVGUKVOGbdu2Ubt2bUOHJoTI5vS6dEByvL292bFjB4GBgbzzzjsMHDgQ2/gtrXMBWTpAiOwtMDCQQYMG8csvvwDQpUsXfvrpJwoUKGDYwIQQBqXr93embHfyXy4uLri4uGTFpYQQIoGzZ8/So0cPHjx4gKmpKQsXLmTEiBHS7SaE0JleB3g/ePAgwQBvIYQwlNjYWL755htcXV158OAB5cqV48yZM4wcOVISJSFEmug1WXJycpKB20IIg3vx4gXt27dn4sSJREdH06NHD7y9veUJtxAiXfSaLNnY2FCmTBl9NimEEGly8uRJnJ2dOXDgAGZmZqxYsYItW7bIeEIhRLrpNVmqUqWKdMMJIQwiNjaW2bNn07RpUx49ekSlSpU4f/48Q4cOlW43IUSG6DVZ+uijjzh9+jQXLlzQZ7NCCJGiZ8+e0bp1a7744gtiYmLo168fFy9e5L333jN0aEKIXECvydLAgQMZMWIELVu2ZPbs2dy8eZOIiAh9XkIIIRI4ceIEzs7OHD58GAsLC9asWcP69euxtrY2dGhCiFxCr+ssGRsb635hjYbo6Gh9XdqgZJ0lIbJeTEwMs2bNYsaMGcTGxlKlShW2b9/Ou+++a+jQhBA5hEHWWUpL3pUFa2EKIXKpf/75hz59+vD7778DMGjQIJYuXYqlpaWBIxNC5EZ6TZZiY2P12ZwQQiRy9OhR+vTpw7Nnz7CysmL58uX069fP0GEJIXIxvY5ZEkKIzBIdHc2UKVNo2bIlz549o1q1aly8eFESJSFEpsu07U6uX7+Ol5cXz58/591336VDhw5A3NOn6OhoTE1NM+vSQohc5tGjR/Tu3RtPT08Ahg0bxnfffYeFhYWBIxNC5AV6f7Lk7+9PixYtqFatGsOGDWPKlCns2bNHe37VqlVYWFhw7NgxfV9aCJEL/fbbbzg7O+Pp6Un+/PnZsmULP/74oyRKQogso9dkKTAwkMaNG/P777/z7rvvMnz48EQDubt3746RkRF79+7V56WFELlMVFQUn3/+OW3atOHFixfUqFGDS5cuyZZKQogsp9dkad68efj5+TF+/HguX77MsmXLEpUpWLAg1apV49SpU/q8tBAiF3nw4AFNmjRh/vz5AIwcORIvLy8qVKhg4MiEEHmRXpOlX375BScnJ+bOnZvi9gJly5bl8ePH+ry0ECKX2LdvH87Oznh5eWFra8vOnTtZtmwZ5ubmhg5NCJFH6TVZun//Pi4uLhgZpdysqakpgYGB+ry0ECKHi4yMZNy4cXTo0IGXL19Su3ZtvL296dKli6FDE0LkcXqdDWdubk5ISEiq5R48eICtra0+Ly2EyMHu3btHz549OX/+PABjxoxh3rx5MmtWCJEt6PXJUuXKlfH29iYsLCzZMi9evODy5cuywaUQAgAPDw9q1KjB+fPnKViwIL/88gvfffedJEpCiGxDr8lS165dCQgI4LPPPkt2Ne8JEyYQHh5Ojx499HlpIUQOExERwaeffkqXLl0ICgqiXr16+Pj4aNdkE0KI7EKvydLIkSOpWrUqP/30E3Xq1GH27NkA/P333yxcuJD333+fDRs24OzsjLu7uz4vLYTIQe7cuUP9+vW1M2YnTpyIp6cnjo6OBo5MCCES0yg972j75MkTunXrhpeXFxqNBqWUdmacUoratWuzZ88eSpYsqc/LGpSuuxYLIWD79u0MGTKEkJAQChcuzIYNG2jTpo2hwxJC5EG6fn/rfbuTkiVLcurUKQ4dOsT+/fu5e/cusbGx2Nvb07p1azp27JjisgJCiNzp9evXjB07lhUrVgDQsGFDtmzZgp2dnYEjE0KIlOn9yVJeJE+WhEjZzZs36d69O1euXEGj0TB58mSmT5+OiUmmbU8phBCp0vX7W69jljw9Pbl161aq5W7fvq3dEFMIkbtt2rSJmjVrcuXKFYoWLcrBgwf5+uuvJVESQuQYek2WmjRpwrx581ItN3/+fJo2barPSwshspnw8HCGDBlC3759CQsLo2nTply+fJmWLVsaOjQhhEgTvSZLQKKNc4UQec/169epU6cOq1evRqPRMHXqVI4cOZKrJnYIIfIOgzwHf/nypezzJEQutW7dOkaOHEl4eDglSpRg06ZNNGvWzNBhCSFEumU4WXrw4EGC16GhoYmOxYuOjubPP//k8OHDlCtXLqOXFkJkI6GhoYwcOZINGzYA8MEHH7Bx40aKFy9u4MiEECJjMpwsOTk5JVgKYNeuXezatSvFOkop+vbtm9FLCyGyiatXr9K9e3du3LiBkZERM2bMYPLkyaluqi2EEDlBhpMlBwcHbbL04MEDLC0tKVKkSJJlTU1NsbOzo0uXLgwfPjyjlxZCGJhSip9++olRo0bx5s0bSpUqxZYtW2jUqJGhQxNCCL3JcLLk5+en/d3IyIhu3bqxZs2ajDYrhMjmQkJCGDZsGFu2bAGgdevWrF+/nqJFixo4MiGE0C+9PiNfu3YtgwcP1meTyXJ3d0ej0aT48+bNmyTrXrp0iW7dulG8eHHMzc0pU6YMn376Kc+ePcuS2IXI6Xx8fHBxcWHLli0YGxszb948fv31V0mUhBC5kl5nww0YMECfzemkQYMGlC9fPslzxsbGiY7t3LmTXr16ER0dTe3atSlTpgwXL15k2bJl7Nixg1OnTiXbnhB5nVKK5cuXM3bsWCIjI7G3t2fr1q3Ur1/f0KEJIUSmyVCyFD/rrXTp0hgbGyc7Cy45Dg4OGbk8AEOGDMHd3V2nso8fP2bAgAFER0ezYsUKhg4dCkBMTAzu7u78/PPP9O7dm3Pnzsn+dUL8R1BQEEOGDGHnzp0AdOjQgbVr11KoUCEDRyaEEJkrQ8mSk5MTRkZGXL9+nYoVKyaaGZcSjUZDdHR0Ri6fZosWLSI8PJwWLVpoEyWIewK1fPly9u3bx4ULFzh8+DAffvhhlsYmRHZ28eJFunfvzr1798iXLx/z5s1jzJgx8o8KIUSekKFkKX4mXL58+RK8zq52794NQO/evROds7a2pkOHDmzcuBEPDw9JloQgrtttyZIlTJgwgaioKJycnNi2bRt16tQxdGhCCJFlMpQsvT0TLqnXWeH48eNcvXqVkJAQChcuTJ06dWjTpg1mZmYJyoWEhHDnzh0AatWqlWRbtWrVYuPGjfj4+GR63EJkdy9fvmTQoEHs2bMHADc3N1avXk2BAgUMGpcQQmS1HL/td/xqwW8rWbIka9asoVWrVtpjbydyyY2Vsre3B+DevXv6DVKIHObs2bP07NmT+/fvY2pqyoIFCxg5cmS2fnIshBCZJccur1u9enUWL17MtWvXCA4O5unTpxw+fJj69evz5MkTOnTowIkTJ7TlQ0JCtL9bWVkl2aa1tTUAwcHBKV47IiKC4ODgBD9C5AaxsbF8++23uLq6cv/+fcqVK8eZM2f45JNPJFESQuRZepkNl14ZmQ03duzYBK/z58/PBx98QIsWLejcuTO//PILY8aMwdfXN0MxJmXOnDlMnz5d7+0KYUgBAQEMGDCA/fv3A9CjRw9WrlyJjY2NgSNLu7Aw+P9/+xAaCsn8+0gIIXSiUUqp9FY2MjJK9782M3M23OXLl3F2dgbiEjp7e3uuXr3Ke++9B8CrV6+wtbVNVG/37t24ublRpEgRnj9/nmz7ERERREREaF8HBwdjb29PUFBQjvxiEeLUqVP06tWLhw8fYmZmxuLFixk6dGiOfZokyZIQQhfBwcHY2tqm+v2tl9lw2c0777yj/f3hw4fY29vj6OioPfbgwQOqVauWqJ6/vz8QtyRCSszMzBINIBciJ4qNjWXevHl8+eWXxMTEULFiRbZv30716tUNHZoQQmQbep0Nl10EBARof8+fPz8ANjY2lC9fnjt37nDx4sUkk6WLFy8C4OLikjWBCmFAz549o1+/fhw+fBiAvn37snz5cu3YPSGEEHFy7ADvlGzduhWIS5AqVaqkPd65c2cANm/enKhOaGgo+/btA+KmSAuRm504cQJnZ2cOHz6MhYUFq1evZsOGDZIoCSFEEnJksuTr68vevXsTjXmKjY1l9erV/O9//wNg1KhR2gUzAcaMGYOlpSVHjx5l1apV2uMxMTGMGDGCV69eUbt2bVq2bJk1b0SILBYTE8OMGTNo3rw5T548oUqVKly4cIFBgwZlyy51IYTIDjI0wNtQ9uzZQ+fOnSlYsCAuLi4UL16cV69ece3aNe0MvV69erFhwwZMTBL2NO7YsYNevXoRExND3bp1cXJy4sKFC9y9e5fixYunayNdXQeICWFI//zzD3369OH3338HYODAgSxdujTZpTRyMhngLYTQha7f3znyyVL16tUZM2YM7777Ljdu3MDDw4Njx44B0LVrV/bv38/mzZsTJUoA3bp149y5c7i5uXH37l12795NTEwMI0eO5PLly2lOlITICY4ePYqzszO///47VlZWbNiwgTVr1uTKRAkgJubf3z09E74WQoi0ypFPlrIbebIksqvo6GimT5/O119/jVKKatWqsX37dipXrmzo0DKNhweMGgWPHv17zM4OFi8GGY4ohHhbrn6yJIRI3aNHj2jevDmzZs1CKcXQoUM5d+5crk+UunZNmChB3OuuXePOCyFEWkmyJEQudPDgQZydnfH09MTa2potW7awYsUKLCwsDB1apomJgdGjIaln5fHHxoyRLjkhRNpJsiRELhIVFcXkyZNp3bo1L168wNnZGW9vb3r27Gno0DLdyZPw8GHy55UCf/+4ckIIkRYGSZZ8fX3x9PQ0xKWFyLX8/f1p0qQJc+fOBWDkyJGcOXOGChUqGDiyrPHkiX7LCSFEvAyt4J1ew4cP58KFC5m2N5wQec2+fftwd3cnMDAQGxsbVq9eTdeuXQ0dVpYqWVK/5YQQIp7BuuFkEp4QGRcZGcm4cePo0KEDgYGB1KpVCx8fnzyXKAG4usbNektubU2NBuzt48oJIURayJglIXIoPz8/XF1dWbhwIRC3Qv3p06cpW7asgSMzDGPjuOUBIHHCFP960aK4ckIIkRaSLAmRA+3evZsaNWpw/vx5ChQowJ49e/juu+8wNTU1dGgG5eYGO3dCqVIJj9vZxR2XdZaEEOkhyZIQOUhERASjRo3Czc2NV69eUa9ePXx9fenYsaOhQ8s23Nzg+vV/Xx84APfuSaIkhEg/SZaEyCH+/vtvGjRowNKlSwGYMGECnp6eODo6Gjiy7OftrrZGjaTrTQiRMQaZDSeESJsdO3YwZMgQgoODKVy4MOvXr6dt27aGDksIIfKEDCVLGzZsSFe958+fZ+SyQuQZb9684bPPPmP58uUANGzYkC1btmBnZ2fgyIQQIu/IULLk7u6OJrl5uilQSqWrnhB5ya1bt+jevTuXL18GYPLkycyYMQMTE3kgLIQQWSlDn7oODg6S9AiRCTZt2sSwYcMICwujaNGibNy4kQ8//NDQYQkhRJ6UoWTJz89PT2EIIQDCw8MZNWoUq1evBqBJkyZs2rSJUv+dCy9SZGWV9Ia6QgiRHjIbTohs4q+//qJu3bqsXr0ajUbD1KlTOXr0qCRKQghhYHoZ/HDnzh08PDzw8/PDzMwMZ2dnunfvjoWFhT6aFyLXW79+PSNGjCA8PJwSJUqwadMmmjVrZuiwhBBCoIdkadGiRUycOJGYmJgEx7/88ksOHDhA1apVM3oJIXKtsLAwRowYoZ1Z2qJFC37++WeKFy9u4MiEEELEy1A33KlTpxg3bhzR0dFYWlpSo0YNypUrh0aj4eHDh3Tp0oXY2Fh9xSpErnL16lVq1arFhg0bMDIyYtasWRw8eFASJSGEyGYylCwtW7YMpRQDBgzgn3/+4eLFi9y6dQtvb2/KlSvHnTt3OHjwoL5iFSJXUErx008/UadOHW7cuEGpUqU4fvw4X3zxBcay1LQQQmQ7GUqWzpw5g52dHStWrMDKykp7/L333mPx4sUopTh79myGgxQitwgJCaFv37589NFHvHnzhlatWuHr60ujRo0MHZoQQohkZChZevr0KbVq1Upyp/OGDRsC8OzZs4xcQohcw9fXl5o1a7J582aMjY2ZO3cu+/fvp2jRooYOTQghRAoyNMA7MjKSAgUKJHnOxsZGW0aIvEwpxY8//sjYsWOJiIjA3t6erVu3Ur9+fUOHJoQQQgeyb4IQmSgoKIiPPvqIHTt2ANC+fXvWrl1L4cKFDRyZEEIIXWU4Wbpz506KG+qmdL5///4ZvbwQ2dbFixfp0aMHd+/excTEhHnz5jF27FjZIkgIIXIYjVLp3xTAyMgo3R/8Go2G6Ojo9F46WwkODsbW1pagoCBt96PIu5RSLF26lPHjxxMVFYWTkxPbtm2jTp06hg5NCCHEW3T9/paNdIXQo5cvXzJo0CD27NkDQOfOnVmzZk2yY/uEEEJkf7KRrhB6cu7cOXr06MH9+/cxNTVlwYIFjBw5Uv5BIYQQOZxspCtEBimlWLBgAQ0bNuT+/fuUK1cOLy8vPvnkE0mUhBAiF8jyZCkgIIDvvvuOatWqZfWlhdC7gIAAOnTowPjx44mOjqZ79+5cunSJmjVrGjo0IYQQepIlSwcopTh48CCrV6/m119/JSoqKisuK0SmOn36ND179uThw4eYmZmxaNEihg0bJk+ThBAil8nUZOnevXusWbOGdevW8fjxY+In3rm4uMiyASLHio2NZf78+UyZMoWYmBgqVqzI9u3bqV69uqFDE0IIkQn0nixFRESwc+dOVq9ejaenJ0oplFJoNBomTpxI//79qVKlir4vK0SWePbsGf379+fQoUMA9OnTh+XLl5M/f34DRyaEECKz6C1ZunTpEqtXr2br1q0EBQWhlMLExIQ2bdpw5coV7t+/z9y5c/V1OSGy3B9//EGvXr148uQJFhYWLF26lEGDBiXZ7RYWBtbWcb+HhsJb+0wLIYTIYTKULL18+ZKff/6Z1atXc/XqVSBufFLlypUZNGgQ/fv3p1ixYri6unL//n29BCxEVouJiWH27NlMmzaN2NhY3nnnHbZv307VqlUNHZoQQogskKFkqWTJkkRFRaGUwtramh49ejBo0CDef/99fcUnhEH9888/9O3bl2PHjgHg7u7OsmXLsJJHRUIIkWdkKFmKjIxEo9FgZ2fHxo0bady4sb7iEsLgjh07Rp8+fXj69CmWlpYsX75cJiZkkZjYGE4+OMmTkCeUzF8SVwdXjI2MDR2WECKPytA6S9WqVUMpxcOHD2nWrBnOzs4sWbKEgIAAfcUnRJaLiYnhq6++4oMPPuDp06dUrVqVS5cu5ZhEKSwMNJq4n7AwQ0eTdh5/eeC02Imm65vS26M3Tdc3xWmxEx5/eRg6NCFEHpWhZOny5cucP3+eoUOHkj9/fq5cucLYsWMpXbo0PXr04NChQ2Rgn14hstzjx49p3rw5M2fORCnFRx99xPnz56lcubKhQ8sTPP7yoOv2rjwMfpjg+KPgR3Td3lUSJiGEQWiUnrKZ169fs337dlavXs2pU6fiGtdoKF26NK9fvyYwMJCYmBh9XCrb0XXXYpG9HTp0iL59+/LixQusra1ZuXIlvXr1SldbhpwNl1Nn4sXExuC02ClRohRPgwY7Gzvujb4nXXJCCL3Q9ftbb9udWFhYMGDAADw9Pbl58yYTJ06kePHiPHz4UNst16BBA1auXElQUJC+LitEhkVHRzN58mRatWrFixcvcHZ25tKlS+lOlADe/neBp2fC1yJpJx+cTDZRAlAo/IP9OfngZBZGJYQQmbQ3XIUKFZg7dy7+/v7s2bOHdu3aYWRkxJkzZxg+fDglS5akZ8+emXFpIdLE39+fJk2aaNcAGzFiBGfOnKFixYrpbtPDA95ed7VNG3Byijsukvck5IleywkhhL5k6ka6xsbGdOjQgb179+Lv78/XX39NuXLlePPmDTt27MjMSwuRqv379+Ps7Mzp06exsbFh+/btfP/995ibm6e7TQ8P6NoVHj1KePzRo7jjkjAlr2T+knotJ4QQ+pKpydLbSpQoweTJk7l16xbHjx+nb9++WXVpIRKIjIxk/PjxtGvXjsDAQGrWrIm3tzfdunXLULsxMTB6NCQ1CjD+2Jgxmd8ll1O7AF0dXLGzsUND0hsRa9Bgb2OPq4NrFkcmhMjrsixZelvjxo1Zv369IS4t8jg/Pz8aNWrEggULABg9ejSnT5+mXLlyGW775El4mPyQG5QCf/+4cpklJ3cBGhsZs7jVYoBECVP860WtFsngbiFEljNIsiSEIezZs4caNWpw7tw5ChQowO7du1m0aBFmZmZ6af+JjkNpdC2XVrmhC9DtHTd2dt9JaZvSCY7b2dixs/tO3N5xM1BkQoi8TG8b6QqRXUVERDBx4kSWLFkCQN26ddm2bRuOjo56vU5JHYfS6FouLVLrAtRo4roAO3YE42z+YMbtHTc6VuooK3gLIbINSZZErvb333/To0cPLl26BMD48eOZPXs2+fLl0/u1XF3Bzi7uSU5SSYtGE3feNROG3KSlC7BJE/1fX9+MjYxp4tTE0GEIIQSQy7rhJk6ciEajQaPRMGvWrETnp02bpj2f3M+NGzcMELnIDDt27MDFxYVLly5RqFAhfv31V7755ptMSZQg7onN4rghN2j+M0Y5/vWiRZnzZMfQXYBCCJGb5ZonS15eXixYsACNRpPqFivVq1fH2dk5yXO2traZEJ3ISm/evOGzzz5j+fLlQNxiqFu2bMHe3j7Tr+3mBjt3wqhRCccO2dnFJUpumTTkxpBdgEIIkdvlimQpPDwcd3d3SpYsSe3atdmzZ0+K5Tt16sS0adOyJDaRtW7fvk337t3x9fUFYPLkycyYMQMTk6z7U3dzgxYtID7vPnAAWrbM3LFChuwCFEKI3C5XdMNNnjyZ27dvs3LlSnkylIdt2bIFFxcXfH19KVq0KAcPHmT27NlZmijFezsxatQo8wdVG7ILUAghcrscnyydOHGCpUuX0r9/f9q0aWPocIQBhIeH89FHH9G7d29CQ0Np3Lgxvr6+fPjhh4YOLUvFdwGWKpXwuJ1d3PHM6gIUQojcLkd3w4WGhjJo0CCKFy/OokWLdK7n7e3NpEmTCAwMxNbWlho1atC+fXvy58+fecGKTPHXX3/RvXt3rl27hkaj4csvv+TLL780yNOk7MAQXYBCCJHb5ehvlPHjx3Pv3j12795NwYIFda63b98+9u3bl+CYra0tS5YsoX///qnWj4iIICIiQvs6ODhY96CF3qxfv54RI0YQHh5O8eLF2bRpE82bNzd0WAaX1V2AQgiR2+XYbrjDhw+zYsUKevbsSadOnXSqU65cOWbPno2Pjw+BgYEEBgZy6tQp2rVrR1BQEAMGDGDTpk2ptjNnzhxsbW21P1kxy0r8KywsDHd3d9zd3QkPD6d58+b4+vpKoiSEECJTaFRq8+yzoaCgIKpWrUpERATXr1+nSJEi2nPu7u6sX7+emTNnMmXKFJ3bHDVqFEuXLqVo0aI8fPgQU1PTZMsm9WTJ3t6eoKAgbGxs0vemhE6uXbtG9+7d+euvvzAyMmL69OlMnjwZY3l8ohUWBtbWcb+HhoKVlWHjEUKI7Co4OBhbW9tUv79z5JOlMWPG8PDhQ5YtW5YgUcqIadOmYWxszPPnzzl37lyKZc3MzLCxsUnwIzKXUorVq1dTu3Zt/vrrL0qVKsXvv//OlClTJFESQgiRqXLkk6UCBQoQFhZGgwYNEp27ceMGT58+xcnJCUdHR0qUKMHWrVt1ardUqVI8efKEzZs306tXL53j0TUzFekTEhLC8OHDtV2krVq1YsOGDRQtWtTAkWVP8mRJCCF0o+v3d44d4B0dHc0ff/yR7Hk/Pz/8/Px03iw1JiaGoKAgAJkVl41cvnyZ7t27c+vWLYyNjfn666+ZMGECRkY58qGoEEKIHChHfuO8evUKpVSSPwMGDABg5syZKKXw8/PTqc29e/cSHh6ORqOhVq1amRi90IVSih9//JG6dety69Yt7Ozs+OOPP/j8888lUUqFlVXcKt5KyVMlIYTQhzzzrfPgwQN+/vln3rx5k+jcnj17GDJkCAB9+vShRIkSWR2eeEtQUBA9e/Zk+PDhRERE0K5dO3x9fZPsdhVCCCEyW47thkurwMBA+vXrx/Dhw6lRowalS5fm9evXXL9+ndu3bwPQtGlT7earwjAuXbpE9+7duXv3LiYmJsybN4+xY8ei+e8eHkIIIUQWyTPJkr29PZ9//jkXLlzgzp07eHt7ExkZSZEiRWjXrh29e/emR48e0sVjIEopli1bxvjx44mMjMTR0ZFt27ZRt25dQ4cmhBAij8uRs+GyG5kNlzEvX75k8ODB7N69G4BOnTqxZs2aNK3KLoQQQqRVrl5nSeQe586dw8XFhd27d2NqasqSJUvw8PCQREkIIUS2kWe64UT2opTiu+++4/PPPyc6OpqyZcuyfft2atasaejQhBBCiAQkWRJZLiAgAHd3d3799VcAunXrxqpVq7C1tTVwZEIIIURi0g0nspSXlxc1atTg119/xczMjOXLl7Nt2zZJlIQQQmRbkiyJLBEbG8u8efNo1KgR/v7+VKhQgbNnz/Lxxx/LsgBCCCGyNemGE5nu+fPn9O/fn4MHDwLQu3dvfvzxR9lWRgghRI4gyZLIVJ6envTq1YvHjx9jbm7OsmXLGDRokDxNEkIIkWNIN5zIFDExMcyaNYumTZvy+PFjKleuzIULFxg8eLAkSkIIIXIUebIk9O7p06f06dOHY8eOATBgwAC+//57rGRXVyGEEDmQJEtCr44dO0afPn14+vQplpaW/PDDDwwYMMDQYQkhhBDpJt1wQi9iYmKYOnUqH3zwAU+fPqVq1apcvHhREiUhhBA5njxZEhn2+PFj+vTpw4kTJwAYMmQIixcvxtLS0rCBCSGEEHogyZLIkEOHDtGvXz+eP3+OtbU1K1asoHfv3oYOSwghhNAb6YYT6RIdHc3//vc/WrVqxfPnz6levTqXLl2SREkIIUSuI0+WRJo9fPiQXr16cerUKQCGDx/OwoULMTc3N3BkQgghhP5JsiTSZP/+/QwYMICAgABsbGxYtWoV3bt3N3RYQgghRKaRbjihk6ioKCZMmEC7du0ICAigZs2aeHt7S6IkhBAi15MnSyJV9+/fp0ePHpw7dw6AUaNGMX/+fMzMzAwcmRBCCJH5JFkSKdqzZw8DBw7k1atXFChQgLVr19KpUydDhyWEEEJkGemGE0mKjIxkzJgxdO7cmVevXlG3bl18fHwkURJCCJHnSLIkErl79y4NGjRg8eLFAIwbNw5PT0+cnJwMG5gQQghhANINJxLYuXMngwcPJjg4mEKFCrF+/XratWtn6LCEEEIIg5EnSwKAN2/eMHLkSLp160ZwcDANGjTA19dXEiUhhBB5njxZEty+fZvu3bvj6+sLwKRJk5gxYwb58uUzbGAZEBMbw8kHJ3kS8oSS+Uvi6uCKsZGxocMSQgiRA0mylMdt2bKFoUOHEhoaSpEiRdi4cSOtWrUydFgZ4vGXB6MPjuZh8EPtMTsbOxa3WozbO24GjEwIIUROJN1wedTr168ZOnQovXv3JjQ0lEaNGuHr65srEqWu27smSJQAHgU/ouv2rnj85WGgyIQQQuRUkizlQTdu3KBu3bqsWrUKjUbDl19+ybFjxyhdurShQ8uQmNgYRh8cjUIlOhd/bMzBMcTExmR1aEIIIXIwSZbymA0bNlCzZk2uXr1K8eLFOXz4MDNmzMDEJOf3yJ58cDLRE6W3KRT+wf6cfHAyC6MSQgiR00mylEeEhYUxcOBABgwYQHh4OM2bN8fX15cWLVoYOjS9eRLyRK/lhBBCCJBkKU/4888/qVOnDuvWrcPIyIgZM2Zw6NAhSpQoYejQ9Kpk/pJ6LSeEEEKAJEu5mlKK1atXU7t2ba5fv07JkiX5/fff+fLLLzE2zn3T6F0dXLGzsUODJsnzGjTY29jj6uCaxZEJIYTIySRZyqVCQkLo168fQ4YM4fXr13z44Yf4+vrSuHFjQ4eWaYyNjFncKm6Llv8mTPGvF7VaJOstCSGESBNJlnKhy5cvU6tWLTZt2oSxsTFz5szhwIEDFCtWzNChZTq3d9zY2X0npW0Szuyzs7FjZ/edss6SEEKINNMopRLPsxZpEhwcjK2tLUFBQdjY2BgsDqUUK1euZPTo0URERGBnZ8eWLVto2LChwWIyFFnBWwghRGp0/f7O+fPFBRD3H/yjjz5i+/btALRt25b169dTuHBhA0dmGMZGxjRxamLoMIQQQuQC0g2XC3h7e+Pi4sL27dsxMTHh22+/Ze/evXk2URJCCCH0SZ4s5WBKKZYtW8b48eOJjIzE0dGRrVu3Uq9ePUOHJoQQQuQakizlUK9evWLw4MF4eMTtddapUyfWrFlDwYIFDRyZEEIIkbtIN1wOdP78eWrUqIGHhwf58uVj8eLFeHh4SKIkhBBCZAJJlnIQpRQLFy6kQYMG+Pn5UbZsWby8vBg1ahQaTdILMQohhBAiY6QbLocIDAzE3d2dffv2AdC1a1d++uknbG1tDRyZEEIIkbvJk6UcwMvLC2dnZ/bt24eZmRk//PAD27dvl0RJCCGEyAKSLGVjsbGxzJ8/n0aNGuHv70+FChU4e/Ysw4cPl243IYQQIotIN1w2FRgYSN++ffntt98A6NWrFytWrCB//vwGjkwIIYTIW+TJUjaVL18+/v77b8zNzVm1ahWbNm2SREkIIYQwAHmylE3lz5+fnTt3AlCtWjUDRyOEEELkXZIsZWOSJAkhhBCGl6u64SZOnIhGo0Gj0TBr1qxkyx09epQ2bdpQpEgRLCwsqFy5Ml988QWhoaFZGK0QQgghcoJckyx5eXmxYMGCVGeJfffdd3zwwQccPHiQd999l/bt2xMUFMTs2bOpVasWL168yKKIhRBCCJET5IpkKTw8HHd3d0qWLEnHjh2TLefj48O4ceMwNjZm//79/PHHH2zfvp2///6b5s2bc/PmTT7++OMsjFwIIYQQ2V2uSJYmT57M7du3WblyZYoLNc6ZMwelFAMHDqR169ba45aWlqxevRojIyN27drFjRs3siJsIYQQQuQAOT5ZOnHiBEuXLqV///60adMm2XKRkZHs378fgN69eyc67+joSIMGDQDYvXt35gQrhBBCiBwnRydLoaGhDBo0iOLFi7No0aIUy966dYvw8HAAatWqlWSZ+OM+Pj56jVMIIYQQOVeOXjpg/Pjx3Lt3j927d1OwYMEUy967dw+AAgUKJLu4o729fYKyQgghhBA5Nlk6fPgwK1asoGfPnnTq1CnV8iEhIQBYWVklW8ba2hqA4ODgFNuKiIggIiJC+zq18kIIIYTIuXJkN1xQUBCDBw+maNGiLF26NMuvP2fOHGxtbbU/8U+khBBCCJH75MhkacyYMTx8+JBly5ZRpEgRnerEd72FhYUlWyZ+UUobG5sU25o8eTJBQUHaH39/fx0jF0IIIUROkyO74Xbv3o2JiQk//PADP/zwQ4Jz8dP+V69ezdGjRylRogRbt27FyckJgFevXhESEpLkuKX4pCe+bHLMzMwwMzPL+BsRQgghRLaXI5MlgOjoaP74449kz/v5+eHn54ejoyMAlSpVwtLSkvDwcC5evEjTpk0T1bl48SIALi4umRO0EEIIIXKcHNkN9+rVK5RSSf4MGDAAgJkzZ6KUws/PDwBTU1Patm0LwObNmxO1ef/+fby8vADo3Llz1rwRIYQQQmR7OfbJUnpMmjSJnTt3snbtWrp06UKrVq2AuO1SBg8eTExMDF26dKFy5cppalcpBcisOCGEECInif/ejv8eT06eSpZcXFxYsGABn332GW3atKFx48YUK1aMkydP8uTJEypVqsSPP/6Y5nbjlyWQWXFCCCFEzhMSEpLidml5KlkCGDt2LNWqVWPBggWcP3+esLAwHBwcmDx5MpMnT052wcqUlCpVCn9/f/Lnz49Go0l0Pjg4GHt7e/z9/VOdaSd0J/c188i9zRxyXzOP3NvMkdvvq1KKkJAQSpUqlWI5jUrt2ZPIsODgYGxtbQkKCsqVf2yGIvc188i9zRxyXzOP3NvMIfc1To4c4C2EEEIIkVUkWRJCCCGESIEkS1nAzMyMqVOnykKWeib3NfPIvc0ccl8zj9zbzCH3NY6MWRJCCCGESIE8WRJCCCGESIEkS0IIIYQQKZBkSQghhBAiBZIs6dHEiRPRaDRoNBpmzZqVbLmjR4/Spk0bihQpgoWFBZUrV+aLL74gNDQ0C6PNOVK7r9OmTdOeT+7nxo0bBog8e3F3d0/1Pr158ybJupcuXaJbt24UL14cc3NzypQpw6effsqzZ8+y+F1kT+m5t+vWrUu1zsGDBw30jrKXyMhIlixZQsOGDSlUqBDm5ubY2dnRunVrtm3blmQd+ZzVTVrubV7+rM1zK3hnFi8vLxYsWIBGo0lxj5nvvvuOzz77DI1Gg6urK8WLF+fkyZPMnj2bXbt2cerUKYoUKZKFkWdvut5XgOrVq+Ps7JzkuZSWsc9rGjRoQPny5ZM8Z2xsnOjYzp076dWrF9HR0dSuXZsyZcpw8eJFli1bxo4dOzh16lSy7eU1ab23AOXKlaNhw4ZJnitdurTeYsupHj58yIcffsj169cpUqQIDRo0wMrKCn9/fzw9PbGysqJHjx4J6sjnrG7Sc28hj37WKpFhYWFhqkKFCqp06dKqU6dOClAzZ85MVM7b21tpNBplbGysDhw4kKB+8+bNFaC6dOmSlaFna7re16lTpypATZ06NeuDzEEGDBigALV27Vqd6zx69EhZWloqQK1YsUJ7PDo6WvXt21cBqnbt2io2NjYTIs450nNv165dqwA1YMCATIsrpwsPD1eVK1dWgJo2bZqKjIxMcD4sLEz5+PgkOCafs7pJz73Ny5+10g2nB5MnT+b27dusXLkyxax6zpw5KKUYOHAgrVu31h63tLRk9erVGBkZsWvXrlz7GDOtdL2vIvMsWrSI8PBwWrRowdChQ7XHjY2NWb58Oba2tly4cIHDhw8bMEqRW82ZM4cbN24wdOhQpk6dSr58+RKct7S0TPSEQz5ndZOee5uXSbKUQSdOnGDp0qX079+fNm3aJFsuMjKS/fv3A9C7d+9E5x0dHWnQoAEAu3fvzpxgcxBd76vIXPF/i0n9zVpbW9OhQwcAPDw8sjQukftFRUWxfPlyACZMmKBTHfmc1U167m1eJ2OWMiA0NJRBgwZRvHhxFi1alGLZW7duER4eDkCtWrWSLFOrVi1OnjyJj4+PvkPNUdJyX9/m7e3NpEmTCAwMxNbWlho1atC+fXvy58+fecHmQMePH+fq1auEhIRQuHBh6tSpQ5s2bRKt0BsSEsKdO3eAlP9mN27cmOf/ZuPpem/fdufOHaZMmcKzZ8+wtramatWqdOjQIc+PqfH29ubFixeUKlWK8uXLc/XqVTw8PHj8+DEFCxbE1dWV1q1bY2T077/55XNWN+m5t/+tn9c+ayVZyoDx48dz7949du/eTcGCBVMse+/ePQAKFCiQ7B+Uvb19grJ5VVru69v27dvHvn37EhyztbVlyZIl9O/fX99h5lgbNmxIdKxkyZKsWbOGVq1aaY/5+flpf3dwcEiyLfmbTUjXe/u206dPc/r06QTHzM3NmTZtGp9//nmmxJkTXLlyBQA7OzsmTZrE/PnzE0zymDdvHjVq1GDPnj3av0/5nNVNeu7t2/LiZ610w6XT4cOHWbFiBT179qRTp06plg8JCQHAysoq2TLW1tYABAcH6yXGnCit9xXiZhPNnj0bHx8fAgMDCQwM5NSpU7Rr146goCAGDBjApk2bMjfwHKB69eosXryYa9euERwczNOnTzl8+DD169fnyZMndOjQgRMnTmjLx//NQvJ/t/I3Gyet9xagRIkSfPHFF5w7d47nz58THBzMhQsX6N+/PxEREUyaNInZs2cb5g1lAwEBAQD4+Pgwb948RowYwc2bNwkKCuLIkSNUrFgRHx8f2rZtS1RUFCCfs7pKz72FPP5Za9jx5TnTq1evlJ2dnSpatKh6/vx5gnPxs2L+O2tr06ZNClClS5dOtt2VK1cqQFWsWDFT4s7u0nNfU/Ppp58qQBUtWlRFREToM9xcIzY2VnXs2FEBqnr16trjp0+fVoACVFRUVJJ1Dx8+rABlamqaRdHmLMnd29QsWLBAAcrMzEz9888/mRdgNjZ79mzt31+vXr0Snb9//74yNzdXgNqwYYNSSj5ndZWee5ua3P5ZK0+W0mHMmDE8fPiQZcuW6TyuIP6RcFhYWLJl4hdLs7GxyXiQOVB67mtqpk2bhrGxMc+fP+fcuXN6aTO30Wg0TJ8+HYDLly/j7+8PkKAbI7m/27z+N5ua5O5takaPHk2RIkWIiIjIszMN3/77GzZsWKLzDg4OtG3bFohbgPLtOvI5m7L03NvU5PbPWhmzlA67d+/GxMSEH374gR9++CHBufjpqKtXr+bo0aOUKFGCrVu34uTkBMCrV68ICQlJsj89/oM0vmxek577mppChQpRrFgxnjx5wsOHDzMl7tzgnXfe0f7+8OFD7O3tcXR01B578OAB1apVS1Qvr//N6iKpe5saY2NjKlSowIsXL/Ls323ZsmWT/D2pMk+ePAGQz1kdpefepia3f9ZKspRO0dHR/PHHH8me9/Pzw8/PT/uFU6lSJSwtLQkPD+fixYs0bdo0UZ2LFy8C4OLikjlB5wBpva+piYmJISgoCCBXz9TIqPgxDPDvfbKxsaF8+fLcuXOHixcvJpksyd9s6pK6t2mpl1f/bl1cXLQr97948SLJJPPFixfAv+OQ5HNWN+m5t6nJ7Z+10g2XDq9evUIpleTPgAEDAJg5cyZKKe2MIlNTU+1jzc2bNydq8/79+3h5eQHQuXPnrHkj2Ux67mtq9u7dS3h4OBqNJtmpxALtUzobGxsqVaqkPR7/t5jU32xoaKh2Roybm1sWRJkzJXdvU+Lt7c2tW7cAqFOnTqbFlp2VKFFCuw1MUl1BUVFR2n9Yxd8j+ZzVTXrubWpy/Wdt1g+Tyt1SGoh86dIl7TL8v/32m/a4LMOfuuTu6/3799XGjRvV69evE9XZvXu3KlSokAJU3759syrUbMnHx0f98ssviQZqx8TEqJ9++kk7mHPKlCkJzr+93cnKlSu1x6Ojo1W/fv1kuxOVvnsbFhamli1bpoKDgxO198cffygnJycFqIYNG2Z6/NnZ0aNHFaAKFiyozpw5oz0eFRWlHVCcP3/+BIPg5XNWN2m9t3n9s1aSJT1LbdbWwoULFaA0Go1q0qSJ6t69uypZsqQCVKVKlRLNAhNxkruvPj4+ClDW1tbK1dVV9ezZU3Xs2FFVqFBBO9ujadOmKiQkxECRZw+7d+/WfjA2b95c9e7dW7Vp00Y5ODgkmBWT1Ky37du3K2NjYwWounXrqh49eqiyZcsqQBUvXlzdvn3bAO8o+0jPvX358qV2tlu9evVU9+7dlZubm6pataq2TrVq1dTjx48N+M6yh5kzZypAmZiYqPr16ys3NzdtMmlhYaF+/fXXRHXkc1Y3abm3ef2zVpIlPdNlivuRI0dUq1atVKFChZSZmZmqUKGCmjx5cpL/yhRxkruvL168UJ9//rlq1qyZcnBwUFZWVipfvnyqZMmSql27dmrz5s0qJibGQFFnH3fv3lVjxoxRDRs2VKVLl1bm5ubKzMxMOTg4qK5du6r9+/enWP/ixYvKzc1NFS1aVJmamipHR0c1cuTIPDut/W3pubcRERHqyy+/VK1bt1ZlypRR+fPnVyYmJqpo0aKqRYsWasWKFbly+nV6HTp0SLVu3VoVKlRI5cuXT9nb2yt3d3f1119/JVtHPmd1o+u9zeuftRql3lq2UwghhBBCJCADvIUQQgghUiDJkhBCCCFECiRZEkIIIYRIgSRLQgghhBApkGRJCCGEECIFkiwJIYQQQqRAkiUhhBBCiBRIsiSEEEIIkQJJloQQQgghUiDJkhBCCCFECiRZEkIIIYRIgSRLQgghMuz333/HxcUFa2tr3n//fby8vFIsv3PnTjp37oyDgwOWlpa8++67LFiwgKioqCyKWAjdyUa6QgghMuTmzZs4Oztjb29PjRo1OHnyJGFhYfz555/Y2dklWadevXo4OTnRqVMnihcvjpeXF7NmzaJ79+6sX78+i9+BECkzMXQAQgghcrbdu3dTqFAhrl69ipmZGc+fP6d06dIcP36cfv36JVln3759FC1aVPu6adOmKKX48ssvmT9/PsWLF8+q8IVIlXTDCSGEyBATExNevnyJl5cXb9684ejRo0RFReHo6JhsnbcTpXg1a9YE4PHjx5kWqxDpIcmSENlc9erV0Wg0mJmZERAQkGJZJycnNBpNgh8zMzMcHBzo0aMHJ0+eTLbOunXrMukdZH/x98DPz0+n4zlJWt+Dn59for+hWbNmpVinT58+WFtb06xZMywsLOjbty//+9//aNSoUZpi9fT0xNTUlHLlyiU4Xrly5QTxNGnSJE3tCpFRkiwJkY1duHCBK1euABAZGcnPP/+sU70GDRowYMAABgwYQOvWrYmNjWX79u00btyYhQsXZmbIIgk5MemysrLS/g1Vr149xbIlS5akd+/e2tdmZmbMmDEjTde7fv06ixcvZujQodjY2CQ417lzZwYMGMCHH36YpjaF0BcZsyRENrZ69WoASpcuzaNHj1i9ejWjR49Otd6QIUNwd3fXvn7z5g3Dhg1jw4YNTJw4kXbt2lGxYsXMCjvXOHbsGFFRUZQuXdrQoWS5IkWK6Py08ebNmyxfvpzixYsTEBDA69evuXXrFu+8845O9V+8eEGnTp0oX748c+fOTXR+zpw5AJw4cYJDhw7p/B6E0Bd5siRENhUeHs6WLVsA2LhxI9bW1ly9epULFy6kuS1zc3O+//57rKysiImJwcPDQ9/h5krlypWjcuXK5MuXz9ChZGujRo0iMjKSOXPmaJNwX19fneqGhITQunVrIiMjOXjwIFZWVpkYqRDpI8mSENnUjh07CA4OpmrVqjRt2pQePXoA/z5tSitra2sqVaoEkKndQfHjSgBWrVpFzZo1sbKyokCBArRp04azZ8+mWm/t2rW8//772NraJuq+ev36NQsWLKBevXoUKFAAc3NzKlWqxMSJE1Mc03X9+nW6detGkSJFsLCwoGrVqnz77bfExMQkWyel7rPw8HAWLVpEw4YNKViwIGZmZjg6OtK+fXs2b94MwLp169BoNNy/fx+AMmXKJBh7c+LEiQRtZuV70xcPDw8OHz5MnTp1cHd313bZ6ZIsRURE0LFjR/z8/Dh06BClSpXK5GiFSCclhMiWXF1dFaAWLlyolFLq9OnTClC2trYqPDw8yTqOjo4KUGvXrk3yfPny5RWgRo0apXOdtAIUoMaOHas0Go1q2LCh6tWrl6pataoClImJifLw8Ei23ieffKKMjIy09erWrav8/PyUUko9evRIVatWTQGqUKFCqkWLFqpz587a9+Dk5KQt+7aTJ08qKysrBaiyZcuqnj17qhYtWqh8+fKpLl26aOvfu3cvQb3kjj948EBVqVJFAcrS0lJ98MEHqmfPnsrV1VXZ2toqR0dH7XUHDBigvXaXLl3UgAEDtD9//fWXts2sfm/JuXfvngK07yElYWFhysHBQWk0GnXu3DmllFJz5sxRgGrZsmWKdaOjo1WnTp2UtbW1On/+vE6xHT9+XAGqcePGOpUXQl8kWRIiG7p586YCVL58+dSzZ8+0xytXrqwAtWHDhiTrpZT4XL58WRkZGSlArVmzRqc66RGf9FhYWKhjx44lODd//nxtwvf06dMk69nY2KgzZ84kajc2NlY1aNBAAWrw4MEqODhYey4qKkqNGzdOAapp06YJ6r1+/VrZ29srQI0ZM0ZFR0drz12+fFkVKVJEe21dkqWYmBhVq1YtbULw9n+f+Ovt378/1XYM/d6Sk5Zk6YsvvlCAcnd31x47cOCAAlTx4sVTrDts2DD1f+3dXUgUXRgH8H9+tFlqH0ZRi5kZ2CLEFogQoexFYUkrrFtokGFLdCFYQRQSdWGECYFdhOtVRAVFXVTkql0lgQSCF2HBhpiSugp9qJg1tenzXvjOoO3M7G75ulvv/wdzc2aeM3MWcZ+dOfMcAHLp0iV58eLFvG1iYkI3hskSxQqTJaI4dO7cOe1OxFxqsmH0ZaGX+IyPj4vP55OcnBwBIBs3bpTPnz+bxvwO9cv51KlTuvvVROPy5cu6cXV1dbpxbW1tAkDsdrsEg8GQ/dPT09rdq56eHq39zp07AkAyMzPl+/fvIXGNjY1RJUuPHj0SALJhwwaZnJw0+hjC9hPrsRmJNFnq7e0Vi8Ui6enpMjo6qrUPDQ1p5wwEAobx6meitz179kw3hskSxQrnLBHFmR8/fmjLPRw7dmzevsrKSiQlJeH58+fo6+sz7KOqqkqbF7Nq1SqUlJSgr68POTk5aG1tXZRJtEePHtVtr6ysBICQ+Toqt9ut2+7z+QAAZWVlSEoKfZE3ISFBq+szd10y9TyHDh3SnahtdJ1G2tvbAQCHDx9GampqVLFG4mVs0aipqcG3b99w8eLFedW2rVYrMjIyAJjPWxoYGIDM/mAP2VhHieINkyWiOOPz+TA6Ogqr1RpSV2b9+vXYv38/RAQ3btww7GNunaXjx4/j/PnzePLkCfx+f9iaOQslOzvbtH1oaEh3/+bNm3Xb3759CwC4cOFCSNFEdWtqagIAvH//XotTz2N0PatXr8bKlSvDD+hf6mTtbdu2RRwTTryMLVKPHz9GW1sbcnNzUVNTE7J/+/btAICXL18u+LmJYoF1lojijPq2m6IoKCoqCtk/PDwMYPZNq7q6OiQmJoYc83OdpXgkBmt4p6Sk6LbPzMwAAHbv3h1S4flneXl5v3dxi+xPGpuiKDh9+jSA2TcCHQ5HyDG9vb0AIi8fQBTvmCwRxZGRkRG0trYCAD5+/IjOzk7DYwOBANrb21FSUrJYlxeV/v5+2O32kHb1NXyj1eiNZGZmAgBKS0tx5syZiOPUgpJG5RLGx8cxMTERcX+bNm0CAPj9/ohjwomXsUXiypUr6O/vBwAMDg5icHDQ8FgmS/S34GM4ojhy8+ZNTE9Po6CgwHA+h4jg7NmzAH695tJiuH37tml7tPNS9u3bB2C2/pTRXSk96t25+/fvIxgMhuy/detWVNdRXFwMALh79y6mpqYiilm6dCmA2floeuJlbOH09/ejoaEBycnJ8Pv9hn+f3d3dAGbvMH358mVBr4EoFpgsEcURdR5SuIm56iTplpaWeXNY4onX6w2ZxN3Y2Iiuri6kpaXB4/FE1V9paSny8/PR1dWFqqoq3XGPjY2hubl5XlLidrthtVrx7t071NbWao+8AODVq1dhF4n9mdPpxI4dOxAIBHDw4MGQYpGKoqCtrW1em3oX7fXr13E9tnBOnjwJRVFQXV2tFTjVY7PZkJCQgJmZGW1tQ6I/2iK+eUdEJjo6OgSAWCwW+fTpU9jjd+7cKQDk6tWrWtuvlAFQY7Zs2SIFBQWGW3d3d0T9YU7pgCVLlkhhYaFUVFRoBRcTExPlwYMHhnFmhoeHxW63CwBZsWKF7Nq1S8rLy8XlcondbpfExEQBIF+/fp0X19HRIcuXLxcAkpOTI+Xl5bJnzx5JTk4Wl8sVdVHKgYEByc3N1YpS7t27VyoqKqSwsHBeUUrV9evXBYCkpqaKy+USj8cjHo9H/H5/zMZmxKh0QEtLiwCQtWvXytjYWNh+1FIVXq83ovNGgqUDKFaYLBHFiSNHjggAcbvdER1/7do1ASA2m01r+51kKdxmVPvmZ3OTHq/XK3a7XVJSUiQ9PV2Ki4uls7MzbJwZRVGkublZHA6HZGRkSFJSkqxbt07sdrtUV1fL06dPdeN6enrE5XLJmjVrxGKxiM1mk/r6egkGg1EnSyIik5OT0tDQIPn5+ZKWliYWi0WysrLE6XTKvXv35h07PT0t9fX1kpeXJ8uWLTP8TBdzbEb0kiVFUbTkp6mpKaJ+nE6nAJATJ05EdHwkmCxRrCwRieIBORFRGOr6bvzX8mcaGBhAdnY2srKy/tM1BH9FR0cHHA4HioqKDOt0Ef0X+DYcERGF+PDhg1Z+oqysDAcOHIjZtdTW1mJkZASjo6Mxuwb6f2OyREREIaamprRK8lu3bo1psvTw4UO8efMmZucn4mM4IlpQfAxHRH8b3lkiogXFJImI/jass0RERERkgskSERERkQkmS0REREQmmCwRERERmWCyRERERGSCyRIRERGRCSZLRERERCaYLBERERGZYLJEREREZILJEhEREZEJJktEREREJv4Bgv3ZsONEN4AAAAAASUVORK5CYII=\n", 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" ] @@ -1553,103 +1582,103 @@ "name": "stdout", "output_type": "stream", "text": [ - "OVERALL SCORE (MAE, RMSE, r2, Pearson): 2.161608787530677 2.5602434739650684 0.7487099109404924 0.960918691430533 \n", + "OVERALL SCORE (MAE, RMSE, r2, Pearson): 2.2136785039680995 2.649742579114187 0.7176388896525772 0.9618470518208825 \n", "\n", "MODEL NAME: Ridge \n", "\n", "REF: Shahane et al. 2019\n", "bacterial membrane\n", "Number of lipids: 132\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.28202648221834 3.4820264822183447\n", + "Difference betweer predicted and literature (ML prediction and difference): 60.13280710699813 3.332807106998132\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "mammalian membrane\n", - "Difference betweer predicted and literature (ML prediction and difference): 45.003247191221796 2.9032471912217943\n", + "Difference betweer predicted and literature (ML prediction and difference): 45.42209173346927 3.3220917334692714\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "cancer membrane\n", - "Difference betweer predicted and literature (ML prediction and difference): 51.49955415200861 5.399554152008612\n", + "Difference betweer predicted and literature (ML prediction and difference): 51.902051082866876 5.802051082866875\n", "Sum of fractions (should be 1): 1.01 \n", "\n", "REF: Kumar et al. 2021\n", "M13\n", - "Difference betweer predicted and literature (ML prediction and difference): 51.0619112792985 2.001911279298497\n", + "Difference betweer predicted and literature (ML prediction and difference): 50.52407783135294 1.4640778313529381\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M12\n", - "Difference betweer predicted and literature (ML prediction and difference): 56.44059649060742 1.47059649060742\n", + "Difference betweer predicted and literature (ML prediction and difference): 56.14752590487707 1.177525904877072\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M11\n", - "Difference betweer predicted and literature (ML prediction and difference): 56.745077847902586 2.1250778479025882\n", + "Difference betweer predicted and literature (ML prediction and difference): 56.40329243448054 1.7832924344805434\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M10\n", - "Difference betweer predicted and literature (ML prediction and difference): 57.360759337403195 1.5207593374031916\n", + "Difference betweer predicted and literature (ML prediction and difference): 56.87085320400632 1.0308532040063199\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M9\n", - "Difference betweer predicted and literature (ML prediction and difference): 48.701124623876034 3.1611246238760344\n", + "Difference betweer predicted and literature (ML prediction and difference): 49.019969386239964 3.479969386239965\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M8\n", - "Difference betweer predicted and literature (ML prediction and difference): 58.21616703934993 -0.25383296065006533\n", + "Difference betweer predicted and literature (ML prediction and difference): 57.01267343634834 -1.4573265636516624\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M7\n", - "Difference betweer predicted and literature (ML prediction and difference): 47.15995793125602 1.3599579312560195\n", + "Difference betweer predicted and literature (ML prediction and difference): 47.29763643286785 1.49763643286785\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M6\n", - "Difference betweer predicted and literature (ML prediction and difference): 58.61548594207574 1.815485942075746\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.81032201105804 2.0103220110580438\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M5\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.54371935403731 -0.15628064596269553\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.759436979606804 0.05943697960680083\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M4\n", - "Difference betweer predicted and literature (ML prediction and difference): 58.914489971941265 1.8544899719412626\n", + "Difference betweer predicted and literature (ML prediction and difference): 57.02669817353604 -0.03330182646396196\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M3\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.140487345441464 1.620487345441461\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.00428160341341 1.4842816034134074\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M2\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.39762775947526 2.37762775947526\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.18404891523737 2.164048915237366\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M1\n", - "Difference betweer predicted and literature (ML prediction and difference): 62.883346931407665 -1.926653068592337\n", + "Difference betweer predicted and literature (ML prediction and difference): 62.824514291589445 -1.9854857084105575\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "REF: Oliveira et al. 2022\n", "M1\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.94983029368877 -1.1501697063112317\n", + "Difference betweer predicted and literature (ML prediction and difference): 60.30126888114009 -1.7987311188599122\n", "Sum of fractions (should be 1): 0.9999999999999999 \n", "\n", "M2\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.81675902464677 -1.183240975353229\n", + "Difference betweer predicted and literature (ML prediction and difference): 60.18807114900388 -1.811928850996118\n", "Sum of fractions (should be 1): 0.9999999999999999 \n", "\n", "M3\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.204295423071976 -1.495704576928027\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.98200459363478 -1.717995406365226\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M4\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.61059055641817 -1.9894094435818346\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.85880928657559 -1.741190713424409\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M5\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.38448768747673 0.18448768747672517\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.25911417975805 0.05911417975804767\n", "Sum of fractions (should be 1): 1.0 \n", "\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -1661,103 +1690,103 @@ "name": "stdout", "output_type": "stream", "text": [ - "OVERALL SCORE (MAE, RMSE, r2, Pearson): 1.8777202580753514 2.2073106812116743 0.8049502893487701 0.9686618848172942 \n", + "OVERALL SCORE (MAE, RMSE, r2, Pearson): 1.8673080473525943 2.261869585121771 0.7811162065604513 0.9633260794324393 \n", "\n", "MODEL NAME: ElasticNet \n", "\n", "REF: Shahane et al. 2019\n", "bacterial membrane\n", "Number of lipids: 132\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.08720493894853 4.287204938948534\n", + "Difference betweer predicted and literature (ML prediction and difference): 60.95307804098344 4.153078040983445\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "mammalian membrane\n", - "Difference betweer predicted and literature (ML prediction and difference): 50.222302593405324 8.122302593405323\n", + "Difference betweer predicted and literature (ML prediction and difference): 50.36275352233138 8.26275352233138\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "cancer membrane\n", - "Difference betweer predicted and literature (ML prediction and difference): 55.30782774427442 9.207827744274418\n", + "Difference betweer predicted and literature (ML prediction and difference): 55.503912687748766 9.403912687748765\n", "Sum of fractions (should be 1): 1.01 \n", "\n", "REF: Kumar et al. 2021\n", "M13\n", - "Difference betweer predicted and literature (ML prediction and difference): 55.69241446576959 6.632414465769585\n", + "Difference betweer predicted and literature (ML prediction and difference): 55.918526881480524 6.858526881480522\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M12\n", - "Difference betweer predicted and literature (ML prediction and difference): 58.76925324041533 3.7992532404153323\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.76810161924203 3.7981016192420327\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M11\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.00005799152866 4.380057991528659\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.00482471489043 4.384824714890435\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M10\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.46166749375531 3.6216674937553037\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.478270906187234 3.6382709061872305\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M9\n", - "Difference betweer predicted and literature (ML prediction and difference): 53.469394728044946 7.929394728044947\n", + "Difference betweer predicted and literature (ML prediction and difference): 53.505834235728074 7.9658342357280745\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M8\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.68204320033631 2.2120432003363106\n", + "Difference betweer predicted and literature (ML prediction and difference): 60.90343097474059 2.4334309747405882\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M7\n", - "Difference betweer predicted and literature (ML prediction and difference): 50.8676314766724 5.067631476672403\n", + "Difference betweer predicted and literature (ML prediction and difference): 50.80814723852821 5.00814723852821\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M6\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.478701294435986 4.678701294435989\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.46530414692975 4.665304146929756\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M5\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.4612024970603 0.761202497060296\n", + "Difference betweer predicted and literature (ML prediction and difference): 60.64361962889404 0.9436196288940337\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M4\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.476764949699415 4.416764949699413\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.46061359174012 4.400613591740118\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M3\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.509387228360644 1.9893872283606413\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.32676633521449 1.8067663352144834\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M2\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.92584287756752 3.9058428775675154\n", + "Difference betweer predicted and literature (ML prediction and difference): 60.562198441847144 3.542198441847141\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M1\n", - "Difference betweer predicted and literature (ML prediction and difference): 62.09293157915377 -2.717068420846232\n", + "Difference betweer predicted and literature (ML prediction and difference): 62.09133422858183 -2.7186657714181734\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "REF: Oliveira et al. 2022\n", "M1\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.66283382991771 -0.43716617008229264\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.5816524357615 -0.5183475642385034\n", "Sum of fractions (should be 1): 0.9999999999999999 \n", "\n", "M2\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.5869645839929 -0.4130354160070979\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.52433283097541 -0.4756671690245895\n", "Sum of fractions (should be 1): 0.9999999999999999 \n", "\n", "M3\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.01315768047841 -0.6868423195215954\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.12975577254506 -0.5702442274549426\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M4\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.40824617917593 -1.1917538208240686\n", + "Difference betweer predicted and literature (ML prediction and difference): 60.71008388161492 -0.8899161183850808\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M5\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.59108343747168 0.3910834374716785\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.43380584028591 0.23380584028591045\n", "Sum of fractions (should be 1): 1.0 \n", "\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -1769,14 +1798,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "OVERALL SCORE (MAE, RMSE, r2, Pearson): 3.6594593478584576 4.494917125227854 -0.5932117993908106 0.9363456148576265 \n", + "OVERALL SCORE (MAE, RMSE, r2, Pearson): 3.6510490312996873 4.521016391034609 -0.6509090404448268 0.9380525832738756 \n", "\n", "MODEL NAME: DecisionTreeRegressor \n", "\n", "REF: Shahane et al. 2019\n", "bacterial membrane\n", "Number of lipids: 132\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.01296163375002 4.2129616337500195\n", + "Difference betweer predicted and literature (ML prediction and difference): 57.760893982478855 0.9608939824788578\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "mammalian membrane\n", @@ -1784,7 +1813,7 @@ "Sum of fractions (should be 1): 1.0 \n", "\n", "cancer membrane\n", - "Difference betweer predicted and literature (ML prediction and difference): 64.94232329086424 18.842323290864236\n", + "Difference betweer predicted and literature (ML prediction and difference): 46.77915142543639 0.6791514254363875\n", "Sum of fractions (should be 1): 1.01 \n", "\n", "REF: Kumar et al. 2021\n", @@ -1793,15 +1822,15 @@ "Sum of fractions (should be 1): 1.0 \n", "\n", "M12\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.01296163375002 6.042961633750018\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.75114816742096 3.781148167420959\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M11\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.01296163375002 6.392961633750019\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.75114816742096 4.13114816742096\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M10\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.01296163375002 5.172961633750013\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.75114816742096 2.9111481674209543\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M9\n", @@ -1809,63 +1838,63 @@ "Sum of fractions (should be 1): 1.0 \n", "\n", "M8\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.32633296709103 1.8563329670910278\n", + "Difference betweer predicted and literature (ML prediction and difference): 56.903085473150966 -1.5669145268490325\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M7\n", - "Difference betweer predicted and literature (ML prediction and difference): 43.93663639433021 -1.8633636056697895\n", + "Difference betweer predicted and literature (ML prediction and difference): 43.77407517702285 -2.025924822977146\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M6\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.01296163375002 4.2129616337500195\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.75114816742096 1.9511481674209605\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M5\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.32633296709103 0.6263329670910238\n", + "Difference betweer predicted and literature (ML prediction and difference): 56.903085473150966 -2.7969145268490365\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M4\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.01296163375002 3.9529616337500144\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.75114816742096 1.6911481674209554\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M3\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.01296163375002 1.4929616337500136\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.390990618456044 -0.12900938154395902\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M2\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.01296163375002 3.9929616337500136\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.79390379243921 2.7739037924392065\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M1\n", - "Difference betweer predicted and literature (ML prediction and difference): 63.962546132163865 -0.847453867836137\n", + "Difference betweer predicted and literature (ML prediction and difference): 63.84001588030337 -0.9699841196966332\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "REF: Oliveira et al. 2022\n", "M1\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.01296163375002 -1.0870383662499847\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.75114816742096 -3.3488518325790437\n", "Sum of fractions (should be 1): 0.9999999999999999 \n", "\n", "M2\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.01296163375002 -0.9870383662499833\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.75114816742096 -3.2488518325790423\n", "Sum of fractions (should be 1): 0.9999999999999999 \n", "\n", "M3\n", - "Difference betweer predicted and literature (ML prediction and difference): 63.173895534072614 1.4738955340726108\n", + "Difference betweer predicted and literature (ML prediction and difference): 62.86840896250793 1.1684089625079253\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M4\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.32633296709103 -1.2736670329089748\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.23145317297415 -3.3685468270258525\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M5\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.01296163375002 -0.18703836624998615\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.390990618456044 -1.8090093815439587\n", "Sum of fractions (should be 1): 1.0 \n", "\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -1877,103 +1906,103 @@ "name": "stdout", "output_type": "stream", "text": [ - "OVERALL SCORE (MAE, RMSE, r2, Pearson): 4.260072752519143 6.393096996562736 -0.2960823497109324 0.6186008975122813 \n", + "OVERALL SCORE (MAE, RMSE, r2, Pearson): 3.0597836485823326 4.495995762369854 0.3640983048894646 0.7425693483181187 \n", "\n", "MODEL NAME: RandomForestRegressor \n", "\n", "REF: Shahane et al. 2019\n", "bacterial membrane\n", "Number of lipids: 132\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.45673245256084 2.6567324525608456\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.44929068136526 1.6492906813652652\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "mammalian membrane\n", - "Difference betweer predicted and literature (ML prediction and difference): 51.99214986188902 9.892149861889017\n", + "Difference betweer predicted and literature (ML prediction and difference): 48.18570427877188 6.085704278771878\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "cancer membrane\n", - "Difference betweer predicted and literature (ML prediction and difference): 56.018776470784275 9.918776470784273\n", + "Difference betweer predicted and literature (ML prediction and difference): 52.163152877844134 6.063152877844132\n", "Sum of fractions (should be 1): 1.01 \n", "\n", "REF: Kumar et al. 2021\n", "M13\n", - "Difference betweer predicted and literature (ML prediction and difference): 53.91789122480964 4.857891224809634\n", + "Difference betweer predicted and literature (ML prediction and difference): 51.33631650168718 2.2763165016871767\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M12\n", - "Difference betweer predicted and literature (ML prediction and difference): 54.15282656794819 -0.8171734320518098\n", + "Difference betweer predicted and literature (ML prediction and difference): 53.72145051768023 -1.248549482319767\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M11\n", - "Difference betweer predicted and literature (ML prediction and difference): 57.26858455040738 2.648584550407385\n", + "Difference betweer predicted and literature (ML prediction and difference): 55.1129393357472 0.4929393357472023\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M10\n", - "Difference betweer predicted and literature (ML prediction and difference): 57.16213447966416 1.3221344796641574\n", + "Difference betweer predicted and literature (ML prediction and difference): 54.99405926258929 -0.8459407374107144\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M9\n", - "Difference betweer predicted and literature (ML prediction and difference): 53.03893133214153 7.498931332141531\n", + "Difference betweer predicted and literature (ML prediction and difference): 48.38481774038891 2.844817740388912\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M8\n", - "Difference betweer predicted and literature (ML prediction and difference): 57.15332767761639 -1.31667232238361\n", + "Difference betweer predicted and literature (ML prediction and difference): 57.49482661181687 -0.9751733881831299\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M7\n", - "Difference betweer predicted and literature (ML prediction and difference): 51.216948243209316 5.416948243209319\n", + "Difference betweer predicted and literature (ML prediction and difference): 48.76462764080091 2.964627640800913\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M6\n", - "Difference betweer predicted and literature (ML prediction and difference): 55.11420779604854 -1.6857922039514577\n", + "Difference betweer predicted and literature (ML prediction and difference): 55.28677123169141 -1.5132287683085863\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M5\n", - "Difference betweer predicted and literature (ML prediction and difference): 58.061775933479794 -1.638224066520209\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.437108710153815 -0.2628912898461877\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M4\n", - "Difference betweer predicted and literature (ML prediction and difference): 58.55659855798333 1.4965985579833259\n", + "Difference betweer predicted and literature (ML prediction and difference): 56.99236621081595 -0.06763378918405039\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M3\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.366154159161 0.8461541591609958\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.939002897303 -0.5809971026970047\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M2\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.037698932125934 3.0176989321259313\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.66823019813212 2.6482301981321186\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M1\n", - "Difference betweer predicted and literature (ML prediction and difference): 63.9202081596094 -0.8897918403906004\n", + "Difference betweer predicted and literature (ML prediction and difference): 63.82139433780711 -0.9886056621928958\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "REF: Oliveira et al. 2022\n", "M1\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.011579522268 -3.088420477732001\n", + "Difference betweer predicted and literature (ML prediction and difference): 57.541852374341325 -4.558147625658677\n", "Sum of fractions (should be 1): 0.9999999999999999 \n", "\n", "M2\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.011579522268 -2.9884204777319994\n", + "Difference betweer predicted and literature (ML prediction and difference): 57.541852374341325 -4.458147625658675\n", "Sum of fractions (should be 1): 0.9999999999999999 \n", "\n", "M3\n", - "Difference betweer predicted and literature (ML prediction and difference): 57.37946007070082 -4.32053992929918\n", + "Difference betweer predicted and literature (ML prediction and difference): 57.36397471903348 -4.336025280966524\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M4\n", - "Difference betweer predicted and literature (ML prediction and difference): 58.32841815545804 -3.271581844541963\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.24536480940041 -3.354635190599595\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M5\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.277137600689024 -0.9228623993109792\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.40259327265461 -2.7974067273453898\n", "Sum of fractions (should be 1): 1.0 \n", "\n" ] }, { "data": { - "image/png": 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W5ctAbGzhZWJjs8tpoBs3bsDBwQF+fn6oVKkSNmzYAF9fX1SpUkXVoVEJMVkiIqJ/vdua4+9fOq078iZBGpYsCSGwdu1aODk5ISwsDHXr1kVAQACmTJnCbjcNx2SJiIiy+foC77//72tXV8DWtnjjh8oi2VJDsbGx6N27N2bMmIHMzEwMHDgQQUFBaNWqlapDIyVgskRERNkJ0YAB2QOs3/X8efZ2eRImeZOtjh3li0necioWEBAAe3t7nDx5Enp6etiyZQsOHjwIMzMzVYdGSiIRQghVB6HpEhISYGZmhvj4eJiamqo6HCKi4pFKs5OaiIj890skgKUlEBoKaGvnXyYn2frvT0pO99Phw9lTA+TUZ25e+LilatWAly8Lrq8oycmAsXH286QkwMioZOcpRFZWFr755hvMnz8fUqkUDRo0gI+PD+zs7JReF5UOeX+/2bJERFTRXblScKIEZCdA4eHZ5fIjlQJTp+ZNlHKOBYBp0/7tktPWBrZvLzym7dtLniiVgejoaPTo0QNz586FVCrF0KFDcfv2bSZK5RSTJSKiii4qSrFyJUm23NyAI0cAC4vcZS0ts7fntEKpIX9/f9jZ2eHMmTPQ19fHjz/+iJ9++gkmJiaqDo1KCZMlIqKK7r8JS3HLlTTZcnMDbt/+97WvLxAWppxEqRQGmkulUixbtgwuLi6IjIxE48aNcevWLYwZM4Z3u5VzTJaIiCo6Z+fsFp2CfvAlEsDKKrtcfhRJtt7tanN0VE7XmzLu6vuPly9folu3bli4cCGysrLg4eGBwMBANGvWTPF4Se3pKHLwxx9/rJQgJBIJLl68qJRzERFRMWlrAxs2ZA/Qlkhyjz3KSaDWry84kclJtp4/z3/cUs4A8YKSLWUqaKB5zl197w40l9PFixcxbNgwvHz5EoaGhtiyZQs8PDyUGDSpO4XuhtPSUk7DlEQigVSD5+Lg3XBEVC74+gJTpuSePsDKKjtRKirByElSgPyTrYKSlFevsu+MA7LvfnvvvRKHr5S7+nKdToolS5Zg6dKlEEKgWbNmOHjwIN5/t9WKNJq8v98KtSwBQLdu3TBnzpwSH79y5UqcO3dO0TCIiEhRbm5A585AzvxAp08DXbrI1zXm5padEP032bK0lC/ZUobiDDQvYg6nyMhIDBs2DJf/mUV87Nix2LBhAwwNDZUXL2kMhZOlmjVrokOHDiU+fteuXYqGQEREyvJuYtS+ffHGECmSbCmDonf1/ePs2bMYMWIEoqOjYWxsjG3btmHo0KFKCJA0lUL9aA0bNoSFvAP7ClCzZk00bNhQoXMQEZGaUCTZUpSCd/VlZmbiiy++QLdu3RAdHY0WLVrg9u3bTJSIM3grA8csEVG5oejM18U9vjTGLBU10DyfMUsREREYMmQIrl69CgCYMGEC1q5dC319/ZLHQ2qPM3gTEVHFknNXH5B3GoRC7uo7deoU7OzscPXqVZiamuLgwYPYsmULEyWSYbJERETlR85A81q1cm+3tMxzR15GRgZmzZqFnj17IjY2Fi1btkRQUBDc3d3LOGhSdyVKlqKjo3Hnzh0kJSXluz8xMRH+/v4KBUZERFQibm7A/fv/vj59Orvr7Z1E6enTp2jfvj2+/fZbAMCUKVNw7do11KtXr6yjJQ1QrGQpMzMTo0aNQs2aNeHg4IAaNWpg2rRpePv2ba5y9+/fh4uLi1IDJSIiklshA82PHTsGOzs7/Pbbb6hcuTJ8fX2xYcMG6OnpqSBQ0gTFSpY2btyIgwcPYsmSJTh16hSmTZuGH374Ae3atcPLly9LK0YiIiKFpaenY9q0aejbty/evHmDNm3aIDg4GP369VN1aKTmipUs7dixAwsXLsT8+fPRrVs3rFixArdu3UJycjLatWuHJ0+elFacRESkZpKTs8dNSyTZz9XZ33//DUdHR2z4ZwD4jBkzcOXKFdja2qo2MNIIxUqWQkND0a5du1zb3n//fVy/fh1Vq1aFo6MjgoKClBpgUdLT07Fx40Y4OTmhatWq0NfXh6WlJbp3746DBw/me8yFCxfg6uqK6tWrw8DAAI0bN8b8+fMLHINFRESa67CfH+zt7REYGIiqVavi+PHj+Pbbb6Grq6vq0EhDFCtZql69er7dbdWqVcOlS5fQtGlTuLi4lNmiuBEREbC3t8fUqVPx8OFDODo6om/fvrCxsYG/vz8OHTqU55h169bhk08+wZkzZ9C0aVP06tUL8fHxWL58OVq1aoWYmJgyiZ2IiEpXKoBJAAaOGIGEhAS0a9cOISEh6NWrl6pDI00jiqFfv35iyJAhBe5PS0sTffv2FRKJRGhpaRXn1MWWkpIiGjduLACIxYsXi/T09Fz7k5OTRXBwcK5tQUFBQiKRCG1tbXH69OlcZTt16iQAiP79+xc7lvj4eAFAxMfHl+i9EBGpjaQkIbKndMx+XtyixTheCCHEy5f/ln/5UvH4//EoJETYAQL/PGbMmJvnd4JI3t/vYrUsDR06FKGhoYiNjc13v66uLo4cOYJx48bB2tpasSyuCCtWrMCDBw8wbtw4LFq0CJUqVcq139DQEHZ2dnmOEUJg1KhR6N69e66yXl5e0NLSwpEjR/DgwYNSjZ2IiErP/v374eDkhBAA1QHowQ9ffbUiz+8EkbyKlSwNGDAA169fR7Vq1Qo+oZYWvv/+e4SGhiocXEEyMjKwdetWAMCsWbPkOiY9PR2nTp0CgHzX+bGxsYGjoyMAwM/PT0mREhFRWXn79i3GjRuHoUOHIikpCe0BhADQxicqjow0nY6qAyiJoKAgxMTEoFatWqhfvz7u3r0LX19fREZGokqVKnB2dkb37t2hpfVvLvjo0SOkpKQAAFq1apXveVu1aoUrV64gODi4TN4HEREpx4MHD+Du7o67d+9CIpFgwezZ+HLVKs38kSO1o5Gfo99//x0AYGlpiblz52L16tUQ7yyauGrVKtjb2+Po0aOy7sCclq7KlSvDxMQk3/NaWVnlKluQtLQ0pKWlyV4nJCSU/M0QEWkoqfTf5/7+QJcugHbBxfP37kK7xV209x/e3t6YMGECUlJSYG5ujp9++gmdP/oIWLWqROcj+i+NXBsuZ8xUcHAwVq1ahYkTJ+Lhw4eIj4/H+fPn0bBhQwQHB6NHjx7IyMgAkL0ECwAYFfKf0fiflbKLSn5WrFgBMzMz2SMnySIiqih8fYH33//3tasrYGsL+B4rZrpkZJQzvLvYyVJycjJGjRoFDw8PpKSk4OOPP0ZISAg6d+5cvBiIilCmyVJqaipu3ryJ7du3Y+LEiSU+T04rUkZGBoYMGYLNmzejYcOGMDU1RefOnXH+/Hno6+vj3r17OHDggLLCl5k3bx7i4+Nlj/DwcKXXQUSkrnx9gQEDgOfPc29//hwYMFwPvij9GbH/+OMPtGnTBrt27YKWlhaWLFmCc+fOoWbNmrIyUmjhMjogE9rw98/dEkZUHMXuhouMjMSlS5dgY2MDJyenAsu9fPkSISEhuHPnDkJCQhASEoLHjx8jKytLVmbLli0lCvrdbrTx48fn2W9tbY0ePXrgyJEjuHDhAkaMGCE7JrmQaWZzJqU0NTUttH49PT2uIUREFZJUCkydmt0Q9F9CZM/mPQ3r0QfHit8lJwchBHbs2IHJkyfj7du3sLCwwL59+9CxY8dc5XyPaWMqwhCB7JZ/V1fA0hLYsCHXerpEcilWsnT9+nW4uroiJSUFmZmZmD9/Pr766is8evRIlhDlJEj/nbwypzVIS0sLderUQdOmTUscdN26dfN9nl+ZqKgoAJBNaf/mzRskJibmO24pp4WI098TEeXvyhUgIqLg/UJIEA5rXIEzOiq57sTEREyYMAF79+4FAHTp0gV79uzBe++9l6ucr292C5dA7Vzbnz/PbhE7fJgJExVPsZKlGTNmwMjICI8fP8b58+cxYsQIrF27Fm/fvpWVeXegdbVq1fDBBx/gjz/+QHR0NAIDA9GkSRPo6+srFLSDgwMkEgmEEIiJicl3zFDOTNw545AaNWoEQ0NDpKSkIDAwEC4uLnmOCQwMlJ2fiKhCyhlDVIB//v4sUhQslBRQtjt37sDd3R2PHj2CtrY2li1bhtmzZ+e66xn4b8tX7n2ylq9pQJ8+gHZpNH1RuVSsMUt3796Fs7MzqlevDjc3N2RlZeHt27fQ1tZGkyZNMHjwYKxYsQKnT59GREQEoqOjcfHiRTRo0AAAYG9vr3CiBAA1a9aUdQFeuHAhz/6MjAz8+uuvAIA2bdoAyJ4ws0ePHgCAffv25Tnm6dOnCAgIAACuQE1EVAALOXMgi0v7S3x327uEENi2bRvatm2LR48ewdLSEpcvX8bcuXPzJErAuy1fkgLOB4SHZ5cjkltxpgW3t7cXjRo1EhkZGeLSpUtCIpEIiUQiLCwsxK5duwo8zsnJSenLn1y4cEEAEFWqVBHXr1+Xbc/IyBCTJ08WAISJiYl48eKFbN/t27dly538/PPPsu1c7oSISD6ZmUJYWgohkfy7Ssm7D4lECCur7HKKio+PF+7u7rIlS3r06CGio6MLPWbfvvzj+u9j3z7F4yPNJ+/vd7GSpYsXLwoDAwNhaWkpjIyMxHvvvSemTZsm9PT0hJaWlvjoo49EYGBgnuNKI1kSQoilS5cKAEJHR0e0a9dOuLm5CVtbWwFAGBgYiJMnT+Y5Zu3atQKAkEgkomPHjsLd3V1YWFgIAKJRo0ZF/kfMD5MlIqpIjhzJTor+mzDlbDtyRPE6bt++LerVqyf7jv/222+FVCot8rhLl+RLli5dUjxG0nylkiwJIcTDhw/FypUrxbfffiuioqKEEEI8ePBAdOnSRdZqM2bMGPHq1SvZMaWVLAkhxNmzZ0X37t1F1apVRaVKlYSVlZXw9PQUf/75Z4HHnD9/XnTr1k1UrVpV6OnpiQYNGoh58+aJhISEEsXAZImINFVx173NceSIELVr505ArKwUT5SysrLEpk2bhK6urgAgbGxscvUeFOXflq+sUm/5Is0n7++3RIhCRvIVk6+vL6ZPn47w8HCYmZlh0aJFmDx5Mjp27IiAgABIy+kkFwkJCTAzM0N8fHyR0w4QEamT5GTgn/tgkJRUvGFGCQmAmVn289On/5nBW4FB02/evMGYMWPg6+sLAOjbty927NiBKlWqFOs82fNAZedH4p2huZJ/hjHxbjjKIe/vt1InpXRzc8ODBw/wxRdfIDU1FTNmzEDz5s3x7NkzZVZDRERq4N3EqH17xRKlmzdvwt7eHr6+vqhUqRI2bNgAX1/fYidKQHYidPiwBLVq5/6Js7RkokQlo/QZvA0MDLBs2TLcu3cPXbt2xYMHD2TzFz158kTZ1RERkQYTQmDdunVwcnJCWFgY6tati4CAAEyZMgUSSf53tMnDzQ24f//f16dPA6GhTJSoZEptuZN69erh9OnT8PPzQ506dSCEQLNmzTBz5kwuPEtERIiLi0OfPn3w+eefIyMjAwMGDEBQUBBatWqllPMrs+WLKrZSXxuuT58+uH//Pr788ktoaWlh3bp1aNCgAbZv317aVRMRkZoKCAiAnZ0dTpw4AT09PWzZsgU+Pj4wyxkERaRGymQhXT09PSxevBj3799Hjx49EB0drdBCukREpJmysrKwevVqtG/fHuHh4WjQoAF+++03TJgwQaFuN6LSVCbJUg5bW1scP34cJ06cQJ06dcqyaiIiyse7Nyn7++d+XZSclVGEkO8uuujoaPTs2RNz5syBVCrFkCFDcPv2bdjZ2RU7bqKyVKbJUo4ePXrgjz/+UEXVRET0D19f4P33/33t6grY2mZvVzZ/f3/Y2dnh559/hr6+Pn744Qfs3bs330XNidSNQsnS8uXLcerUqRIdq6urCwA4deoUli9frkgYRERUTNlzEQHPn+fe/vx59nZlJUxZWVn4+uuv4eLigsjISDRu3Bg3b97E2LFj2e1GGkOhSSm1tLTg6emJHTt2lDiAUaNGwdvbW6MnrOSklESkSaTS7Bak7AVn85JIsuckCg1V7A6yly9fYsSIETh//jwAYOTIkfjuu+9gnDMLJpGKqWRSSiIiUn9XrhScKAHZY5DCw7PLldQvv/wCOzs7nD9/HoaGhti5cyd2797NRIk0ko6iJzh8+DAuX75c4uNjYmIUDYGIiIohKkq55d4llUqxdOlSLFmyBEIING3aFD4+Pnj/3cFRRBpG4WQpKSkJSUlJCp2D/dZERGXHwkK55XJERkZi2LBhsj+gx4wZg40bN8LQ0LB4JyJSMwolS6GhocqKg4iIyoizc/aYpOfPs7vc/itnzJKzs/znPHfuHIYPH47o6GgYGRlh27ZtGDZsmPKCJlIhhZIlGxsbZcVBRERlRFsb2LAh+643iSR3wpTT0L9+vXyDuzMzM7Fo0SKsWLECQgi0aNECPj4+aNiwYanETqQKHOBNRFQBubkBhw8DtWrl3m5pmb1dngVnIyIi4OLiguXLl0MIgf/973+4fv06EyUqdxQes0RERJrJzQ3o3BnIWY7t9GmgSxf5WpROnz6NkSNHIjY2FiYmJvjxxx/h7u5eugETqQhbloiIKrB3E6P27YtOlDIyMjB79mz06NEDsbGxcHBwQFBQUIGJUnJydteeRJL9nEgTMVkiIiK5PH36FO3bt8c333wDAJg8eTICAgJQv359lcbFhIxKG7vhiIioSMeOHcOoUaPw+vVrmJmZYceOHXCTZ2ATUTnAliUiIipQeno6pk+fjr59++L169do06YNgoODmShRhcJkiYioDGlSl1FoaCicnJywfv16AMDnn3+OK1euoE6dOqoNjKiMsRuOiKgCMzLKf2LKI0eOYMyYMYiPj0eVKlWwe/du9OrVq+wDJFIDpZYs3b9/HwEBAYiOjkbTpk3Ru3dvAEBWVhYyMzOhq6tbWlUTEVEJpaamYubMmfjuu+8AAO3atcP+/fthbW2t4siIVEfp3XDh4eHo3LkzmjdvjvHjx2PBggU4evSobP8PP/wAAwMDXLx4UdlVExGRAh4/fox27drJEqU5c+bg8uXLCiVKUum/z/39c79WlrKogyo2pSZLcXFx6NChA3755Rc0bdoUEyZMgPhP+667uzu0tLRw/PhxZVZNREQKOHDgAFq2bIng4GBUr14dp0+fxsqVK1GpUqUSn9PXF3j//X9fu7oCtrbZ25WlLOogUmqytGrVKoSFhWHmzJm4c+cONm/enKdMlSpV0Lx5c1y9elWZVRMRUQm8ffsW48ePx5AhQ5CYmAhnZ2eEhISge/fuCp3X1zd77bnnz3Nvf/48e7sykpmyqIMIUHKydOzYMdja2mLlypWQ5KzGmI+6desiMjJSmVUTEWkEdeoyevDgAdq2bYvt27dDIpFgwYIF+OWXX1C7dm2FziuVAlOn5j9wPGfbtGlFv3dplhSXwy5j/939uBx2GdKsfw9QVh1E8lBqsvT06VM4ODhAS6vw0+rq6iIuLk6ZVRMRqT116jLas2cPWrVqhbt37+K9997DuXPnsHTpUujoKH7fz5UrQEREwfuFAMLDs8sVxPdPX9husIXLbhcM9R0Kl90usN1gC98/fZVWB5G8lJos6evrIzExschyz549g1nOyo1ERBWAunQZJScnY/To0Rg5ciSSk5Px8ccfIyQkBJ07d1ZaHVFRipXz/dMXA3wGICIhdzb0POE5BvgMgO+fvgrXQVQcSk2WGjdujKCgICQXMtNaTEwM7ty5gw8++ECZVRMRqS116TL6448/0KZNG+zcuRNaWlr46quvcO7cOVhYWCi1HnlPl185aZYUU89MhUDei5WzbdqZaXjPXL6LpeS3RhWUUpOlAQMGIDY2Fp9//jmysrLyLTNr1iykpKRg0KBByqyaiEhtqbrLSAiBnTt3onXr1rh//z4sLCxw8eJFfPnll9DW1lZ6fc7OgKVl9izl+ZFIACur7HL/deXZlTwtSu8SEAhPCAdsrpS4DqLiUmqyNGnSJDRr1gw//vgj2rRpg+XLlwMA/vrrL6xduxYfffQRvL29YWdnB09PT2VWTUSktlTZZZSUlISRI0di9OjRePv2Lbp06YKQkBB07NhR+ZX9Q1sb2LAh+/l/k5mc1+vXZ5f7r6hE+S7Cq5SoEtdBVFxKH7N09uxZfPTRRwgKCsLChQsBAFevXsWsWbNw48YNtGrVCidPnlRo7g4iIk2iSLeUIn7//Xe0bNkSP/30E7S1tbF8+XL8/PPPeO+992RlSmutOjc34PBhoFat3NstLbO3F7QOr4WJfBfBwsSixHUQFZdE/HfWSCU5e/YsTp06hb///htZWVmwsrJC9+7d0adPn0KnFdBECQkJMDMzQ3x8PExNTVUdDhGpGak0+66358/zH7ckkWT/wIeGKqclRAiB7du3Y+rUqUhLS0Pt2rVx4MABODk55SmbnAwYG2c/T0rKXitOmRISgJz7eU6fBrp0Kfw9SrOksN1gi+cJz/MdtySBBJamlgidGgptLe0S1UGUQ97fb6WuDffs2TNIJBJYWVmha9eu6Nq1qzJPT0SkkXK6pQYMyE6M3k2YlN1llJCQgHHjxuHgwYMAAFdXV+zevRvVq1dX/OQl8O57at++6PeoraWNDd02YIDPAEggyZUwSZB9sdZ3Wy9LlEpSB1FxKbUbztbWFoMHD1bmKYmIyoWy6DIKCgpCy5YtcfDgQejo6OCbb77BiRMnVJYolZRbEzccdj+M2qa5J8e0NLXEYffDcGvC/jUqW0ptWTI1NUWdOnWUeUoionLDzQ3o3Fn5XUZCCHz33XeYMWMG0tPTYW1tjYMHD+LDDz9UPGgVcWvihj6N+uDKsyuISoyChYkFnK2dc7UoEZUVpSZL77//PsLDw5V5SiKickXZXUZv3rzB2LFjceTIEQBAnz59sGPHDlStWlWxE6sBbS1tdLTtqOowiJTbDffpp5/i2rVruHXrljJPS0RE+bh16xYcHBxw5MgRVKpUCevXr4efn1+5SJSI1IlSk6VRo0Zh4sSJ6NKlC5YvX46HDx8iLS1NmVUQEVV4QgisX78ejo6OCA0NRZ06dXDt2jVMnTq12Hcbl/bCvkZG2QPahVD+nXZEZUWpUwcUZyZYiUSCzMxMZVWtUpw6gIjkpeit+nFxcRg1ahSOHz8OAOjfvz9+/PFHVK5cudix+PoCU6bkXq/O0jL7zj3OUUQVgby/30ptWRJCyP0oaDkUIiLK3/Xr12FnZ4fjx49DV1cX3333HQ4dOlTiREkdFvYl0gRKTZaysrKK9SAioqJlZWVh9erVcHZ2Rnh4OOrXr4/ffvsNEydOLNEkv+qysC+RplBqskREVN4pujxIccfwxMTEoGfPnpgzZw6kUikGDx6M27dvw97evviV/0PVC/sSaRomS0REaurKlSuws7PDzz//DH19fWzfvh379u1TeGykKhf2JdJESl/upDisra2VWT0RUbmQlZWFFStW4Msvv0RWVhYaNWoEHx8ffPDBB0o5v6oW9iXSVEpNlmxtbeXuPy9Pd8MRESnLy5cvMWLECJw/fx4AMGLECGzZsgXGObfQKYGzc/Zdb0Ut7OvsrLQqiTSaUrvhrK2t831YWlpCW1tbdiectbU1rKysFKrL09MTEomk0EdqamquY3bt2lXkMWfOnFEoLiKikrp06RLs7Oxw/vx5GBgYYOfOnfD29lZqogT8u7Av8O9CvjmUvbAvUXmg1JalsLCwAvdlZmbizJkzmDx5MlxcXLBjxw6l1Ono6Ij69evnu6+geZ/q1asHJyenfPfVrl073+1ERKVFKpVi2bJlWLJkCbKystC0aVP4+Pjg/fffL7U6cxb2/e88S0IAe/dyniWidyk1WSq0Ih0d9OzZE1ZWVmjTpg0+/PBDjBs3TuHzjh07Fp6ensU6xsnJCbt27VK4biIiRUVFRWHYsGG4dOkSAGD06NHYtGkTDA0NS73u/y7sm6NPn1KvmkijlPndcC1atECrVq3w/fffl3XVREQKU+byIOfPn4ednR0uXboEIyMj7NmzB15eXmWSKOVgVxtR0VQydUDt2rXx6NEjVVRNRFRivr7Auz1jrq6ArW3xZ7vOzMzEggUL0LVrV7x69QoffPABbt++jeHDhys1XiJSjjLrhsshhMDvv/+OSpUqKeV8ly5dwt27d5GYmIhq1aqhTZs2cHV1hZ6eXoHHPHnyBAsWLMCrV69gbGyMZs2aoXfv3qhevbpSYiKi8idneZD/3j2WszzI4cPyjfOJiIjA0KFDceWfGR/Hjx+PdevWwcDAoBSiJiJlKNNkKSYmBgsWLMDjx4/RpUsXpZzT29s7zzYLCwvs2LED3bp1y/eYa9eu4dq1a7m26evrY/HixZgzZ06RdaalpSEtLU32OiEhoZhRE5EmKWp5EIkke3mQPn0K79Y6ffo0Ro4cidjYWJiYmOCHH37AoEGDSi1uIlIOpXbD1a1bt8BHjRo1YG5uju3bt6NSpUr46quvFKqrRYsW2LBhA+7du4eEhAS8fPkS586dQ7t27RAVFYXevXvj8uXLuY6pWbMm5s+fjxs3biA6OhoJCQm4desWRo4cibS0NMydOxfLly8vsu4VK1bAzMxM9lB0GgQiUm+KLg+SkZGB2bNno0ePHoiNjYWDgwOCgoLUNlFSdCwWUbkjlEgikRT60NPTE5988om4ceOGMqvNJSsrS/Tp00cAEC1atJD7uDVr1ggAQk9PT7x48aLQsqmpqSI+Pl72CA8PFwBEfHy8gtETkTraty9nNbfCH/v25T326dOn4qOPPhIABAAxefJkkZqaWvZvohBHjghRu3bu92Jpmb2dqDyLj4+X6/dbIkR+Dcsl8/Tp0wL36erqokaNGtDRKf2evzt37sDOzg5A9hIs8rT8SKVS1KxZEzExMfD29saIESPkri8hIQFmZmaIj49XeM0mIlI/ly8DLi5Fl7t0CejY8d/Xx48fh6enJ16/fg0zMzPs2LEDbmo2gVFBY7FyJqeUdywWkSaS9/dbqZmLjY2NMk9XYk2aNJE9j4iIkCtZ0tbWRoMGDRATE4OIwtrbiajCKe7yIOnp6Zg7dy7WrVsHAGjdujUOHjyIOnXqlGHURVPWWCyi8k6pY5b8/f3lmhLg8ePH8Pf3V2bVucTGxsqem5iYFPu44hxDROVfcZYHCQ0NhZOTkyxRmj59Oq5evap2iRKg+FgsoopCqclSx44dsWrVqiLLrV69Gi7ytGmX0IEDBwAApqamaNSokVzHBAUFyRK9Nm3alFpsRKSZcpYHqVUr93ZLy3+7qnx9fWFvb49bt26hSpUqOHbsGNauXQtdXV3VBF2EqCjlliMqr5Q+KaUSh0AVKCQkBMePH0dmZmau7VlZWfDy8sIXX3wBAJgyZYpsPqeUlBR89913SExMzHM+f39/9O/fH0D2UihMlogoP25uwP37/74+fRoIDQVcXVMxefJk9O/fH/Hx8fjoo48QEhKC3r17qy5YOVhYKLccUXlV5pNSAsDr16+hr69f4uPDwsLQr18/VKlSBQ4ODjA3N8ebN29w7949PHv2DAAwZMgQLFq0SHZMeno6PvvsM8yYMQP29vawtrZGZmYmHj16hHv37gEAmjdvDh8fH8XeHBGVa++O3WnfHggNfQJ3d3cEBwcDAGbPno1ly5YpbeLd0lTcsVhEFZXCyVJOcpIjKSkpz7YcmZmZ+OOPP3Du3DnUq1evxHW2aNEC06ZNQ2BgIB48eIBr165BCAFzc3MMGDAAo0aNgqura65jDA0NsXDhQtkxf/zxB96+fYsqVaqgc+fOGDhwIDw9PdW2uZyI1M/hwwcxefKnshUEvL2983z3qLOcsVgDBmQnRu8mTP8di0VUkSk8dYCWlhYk//yvEkLInhdGCIGVK1di9uzZilStNjh1AFHFkZwMGBu/BTAdwDYAgLOzM/bt2wdLS0uVxlZSvr7AlCnZLUw5rKyyEyVOG0DlWZlNHWBtbS1LkJ49ewZDQ8MC11jT1dWFpaUl+vfvjwkTJihaNRFRmXv06CEAdwC/QyKRYP78+Vi0aFGZzCFXWtzcgM6dATOz7NenTwNdurBFiSiHwv+7w8LCZM+1tLQwcOBA7NixQ9HTEhGpnZ9++gn/+9//ACQDeA/Hjv2EXr0+UXVYSvHfsVhMlIj+pdQ/hXbu3In69esr85RERCqXkpKCyZMny/4QdHFxwd69e2HB28SIKgSlJkseHh7KPB0Rkcrdv38fAwcOxP379yGRSLBo0SIsWLAA2mx6IaowSqWTPSoqCseOHcPDhw+RkJCQ79xLEokEXl5epVE9EZHChBDYtWsXJk2ahLdv36JmzZrYt29fqU6oS0TqSenJ0qZNmzBr1ixkZGTItuUkS/+9a47JEhGpo6SkJEycOBF79uwBAHzyySf46aef8N5776k4MiJSBaXO4H3x4kVMnToV+vr6mDt3Lj766CMAwLZt2zBjxgzY2toCAKZNm8ZB4ESkln7//Xe0bt0ae/bsgZaWFr7++mucOXOGiRJRBabwPEvv6t27N06dOoWAgAC0bdsWo0aNgre3N6RSKQAgLS0NEyZMgK+vL4KCglC3bl1lVa1SnGeJSPMJIfDDDz9g6tSpSE1NRe3atbF//344c/pqonJL3t9vpbYs3bx5Ew4ODmjbtm2++/X09LB161bo6+tjyZIlyqyaiKjEEhISMHToUIwfPx6pqano3r07QkJCmCgREQAlJ0uvX7/OtYxJztpIb9++lW3T09ODs7MzLl68qMyqiYhKJDg4GC1btsSBAwegra2N1atX4+TJkwVOrktEFY9Sk6WqVasiOTlZ9rpKlSoA8q4fJ5VKERsbq8yqiYiKRQiB7777Dh9++CGePHkCa2trXLlyBbNmzYKWllK/GolIwyn1G8Ha2hrh4eGy182aNYMQAidPnpRtS0pKwpUrVzR2DSUi0nxv3ryBu7s7PvvsM6Snp6N3794IDg6W3ZRCRPQupU4d0KFDB6xbtw4vX76Eubk5evToASMjI3zxxRd48eIFrK2tsXv3bsTFxWHw4MHKrJqISC63bt3CoEGDEBoaikqVKmH16tWYOnWqXIuAE1HFpNRkaeDAgQgODkZISAi6du2KqlWrYu3atfjf//6HtWvXAshu+ra1tcVXX32lzKqJiAolhMCGDRswe/ZsZGRkoE6dOjh48CBat26t6tCISM0pdeqAggQFBeHQoUOIi4tDkyZNMGrUKJjlLG9dDnDqACL1FhcXh9GjR+PYsWMAgP79++PHH39E5cqVVRsYEamUvL/fpbLcyX85ODjAwcGhLKoiIsrlt99+w6BBg/Ds2TPo6upi7dq1mDhxIrvdiEhuSh3g/ezZs1wDvImIVCUrKwvffPMNnJ2d8ezZM9SrVw/Xr1/HpEmTmCgRUbEoNVmytbXlwG0iUrmYmBj06tULs2fPRmZmJgYNGoSgoCC2cBNRiSg1WTI1NUWdOnWUeUoiomK5cuUK7OzscPr0aejp6WHbtm3Yv38/xxMSUYkpNVl6//332Q1HRCqRlZWF5cuXw8XFBc+fP0ejRo1w8+ZNjBs3jt1uRKQQpSZLn376Ka5du4Zbt24p87RERIV69eoVunfvjvnz50MqlWLEiBEIDAzEBx98oOrQiKgcUGqyNGrUKEycOBFdunTB8uXL8fDhQ6SlpSmzCiKiXC5fvgw7OzucO3cOBgYG2LFjB3bv3g1jY2NVh0ZE5YRS51nS1taWv2KJBJmZmcqqWqU4zxJR2ZNKpVi2bBmWLFmCrKwsvP/++/Dx8UHTpk1VHRoRaQiVzLNUnLyrDObCJKJy6sWLFxg2bBh++eUXAMDo0aOxadMmGBoaqjgyIiqPlJosZWVlKfN0RER5XLhwAcOGDcOrV69gZGSErVu3YsSIEaoOi4jKMaWOWSIiKi2ZmZlYsGABunTpglevXqF58+YIDAxkokREpa7Ulju5f/8+AgICEB0djaZNm6J3794AslufMjMzoaurW1pVE1E58/z5cwwdOhT+/v4AgPHjx2PdunUwMDBQcWREVBEovWUpPDwcnTt3RvPmzTF+/HgsWLAAR48ele3/4YcfYGBggIsXLyq7aiIqh37++WfY2dnB398fJiYm2L9/P77//nsmSkRUZpSaLMXFxaFDhw745Zdf0LRpU0yYMCHPQG53d3doaWnh+PHjyqyaiMqZjIwMzJkzB66uroiJiYG9vT1u377NJZWIqMwpNVlatWoVwsLCMHPmTNy5cwebN2/OU6ZKlSpo3rw5rl69qsyqiagcefbsGTp27IjVq1cDACZNmoSAgAA0aNBAxZERUUWk1GTp2LFjsLW1xcqVKwtdXqBu3bqIjIxUZtVEVE6cOHECdnZ2CAgIgJmZGQ4fPozNmzdDX19f1aERUQWl1GTp6dOncHBwgJZW4afV1dVFXFycMqsmIg2Xnp6OGTNmoHfv3nj9+jVat26NoKAg9O/fX9WhEVEFp9S74fT19ZGYmFhkuWfPnsHMzEyZVRORBgsNDcXgwYNx8+ZNAMC0adOwatUq3jVLRGpBqS1LjRs3RlBQEJKTkwssExMTgzt37nCBSyICAPj6+sLe3h43b95ElSpVcOzYMaxbt46JEhGpDaUmSwMGDEBsbCw+//zzAmfznjVrFlJSUjBo0CBlVk1EGiYtLQ2TJ09G//79ER8fjw8//BDBwcGyOdmIiNSFUpOlSZMmoVmzZvjxxx/Rpk0bLF++HADw119/Ye3atfjoo4/g7e0NOzs7eHp6KrNqItIgT548Qbt27WR3zM6ePRv+/v6wsbFRcWRERHlJhJJXtI2KisLAgQMREBAAiUQCIYTszjghBFq3bo2jR4/CwsJCmdWqlLyrFhMR4OPjg7FjxyIxMRHVqlWDt7c3XF1dVR0WEVVA8v5+K325EwsLC1y9ehVnz57FqVOn8PfffyMrKwtWVlbo3r07+vTpU+i0AkRUPr19+xbTp0/Htm3bAABOTk7Yv38/LC0tVRwZEVHhlN6yVBGxZYmocA8fPoS7uzt+//13SCQSzJs3D1999RV0dEpteUoioiLJ+/ut1DFL/v7+ePToUZHlHj9+LFsQk4jKt71796Jly5b4/fffUaNGDZw5cwZff/01EyUi0hhKTZY6duyIVatWFVlu9erVcHFxUWbVRKRmUlJSMHbsWAwfPhzJyclwcXHBnTt30KVLF1WHRkRULEpNlgDkWTiXiCqe+/fvo02bNvDy8oJEIsGiRYtw/vz5cnVjBxFVHCppB3/9+jXXeSIqp3bt2oVJkyYhJSUFNWvWxN69e/Hxxx+rOiwiohJTOFl69uxZrtdJSUl5tuXIzMzEH3/8gXPnzqFevXqKVk1EaiQpKQmTJk2Ct7c3AOCTTz7Bnj17YG5uruLIiIgUo3CyZGtrm2sqgCNHjuDIkSOFHiOEwPDhwxWtmojUxN27d+Hu7o4HDx5AS0sLS5Yswbx584pcVJuISBMonCxZW1vLkqVnz57B0NAQ1atXz7esrq4uLC0t0b9/f0yYMEHRqolIxYQQ+PHHHzFlyhSkpqaiVq1a2L9/P9q3b6/q0IiIlEbhZCksLEz2XEtLCwMHDsSOHTsUPS0RqbnExESMHz8e+/fvBwB0794du3fvRo0aNVQcGRGRcim1jXznzp0YM2aMMk9ZIE9PT0gkkkIfqamp+R57+/ZtDBw4EObm5tDX10edOnUwefJkvHr1qkxiJ9J0wcHBcHBwwP79+6GtrY1Vq1bh5MmTTJSIqFxS6t1wHh4eyjydXBwdHVG/fv1892lra+fZdvjwYQwZMgSZmZlo3bo16tSpg8DAQGzevBmHDh3C1atXCzwfUUUnhMDWrVsxffp0pKenw8rKCgcOHEC7du1UHRoRUalRKFnKueutdu3a0NbWLvAuuIJYW1srUj0AYOzYsfD09JSrbGRkJDw8PJCZmYlt27Zh3LhxAACpVApPT0/89NNPGDp0KG7cuMH164j+Iz4+HmPHjsXhw4cBAL1798bOnTtRtWpVFUdGRFS6FEqWbG1toaWlhfv376Nhw4Z57owrjEQiQWZmpiLVF9v69euRkpKCzp07yxIlILsFauvWrThx4gRu3bqFc+fOoWvXrmUaG5E6CwwMhLu7O0JDQ1GpUiWsWrUK06ZN4x8VRFQhKJQs5dwJV6lSpVyv1ZWfnx8AYOjQoXn2GRsbo3fv3tizZw98fX2ZLBEhu9tt48aNmDVrFjIyMmBra4uDBw+iTZs2qg6NiKjMKJQsvXsnXH6vy8KlS5dw9+5dJCYmolq1amjTpg1cXV2hp6eXq1xiYiKePHkCAGjVqlW+52rVqhX27NmD4ODgUo+bSN29fv0ao0ePxtGjRwEAbm5u8PLyQuXKlVUaFxFRWdP4Zb9zZgt+l4WFBXbs2IFu3brJtr2byBU0VsrKygoAEBoaqtwgiTTMb7/9hsGDB+Pp06fQ1dXFmjVrMGnSJLVuOSYiKi0aO71uixYtsGHDBty7dw8JCQl4+fIlzp07h3bt2iEqKgq9e/fG5cuXZeUTExNlz42MjPI9p7GxMQAgISGh0LrT0tKQkJCQ60FUHmRlZeHbb7+Fs7Mznj59inr16uH69ev47LPPmCgRUYWllLvhSkqRu+GmT5+e67WJiQk++eQTdO7cGf369cOxY8cwbdo0hISEKBRjflasWIGvvvpK6eclUqXY2Fh4eHjg1KlTAIBBgwZh+/btMDU1VXFkqpWcDPzzdxSSkoAC/tYionJMIoQQJT1YS0urxH9tlubdcHfu3IGdnR2A7ITOysoKd+/exQcffAAAePPmDczMzPIc5+fnBzc3N1SvXh3R0dEFnj8tLQ1paWmy1wkJCbCyskJ8fHyF/2EhzXT16lUMGTIEERER0NPTw4YNGzBu3Di2JoHJElF5lpCQADMzsyJ/v5VyN5y6adKkiex5REQErKysYGNjI9v27NkzNG/ePM9x4eHhALKnRCiMnp5engHkRJooKysLq1atwsKFCyGVStGwYUP4+PigRYsWqg6NiEhtKPVuOHURGxsre25iYgIAMDU1Rf369fHkyRMEBgbmmywFBgYCABwcHMomUCIVevXqFUaMGIFz584BAIYPH46tW7fKxu4REVE2jR3gXZgDBw4AyE6QGjVqJNver18/AMC+ffvyHJOUlIQTJ04AyL5Fmqg8u3z5Muzs7HDu3DkYGBjAy8sL3t7eTJSIiPKhkclSSEgIjh8/nmfMU1ZWFry8vPDFF18AAKZMmSKbMBMApk2bBkNDQ1y4cAE//PCDbLtUKsXEiRPx5s0btG7dGl26dCmbN0JUxqRSKZYsWYJOnTohKioK77//Pm7duoXRo0erZZc6EZE6UGiAt6ocPXoU/fr1Q5UqVeDg4ABzc3O8efMG9+7dk92hN2TIEHh7e0NHJ3dP46FDhzBkyBBIpVK0bdsWtra2uHXrFv7++2+Ym5uXaCFdeQeIEanSixcvMGzYMPzyyy8AgFGjRmHTpk0FTqVB2TjAm6j8kvf3WyNbllq0aIFp06ahadOmePDgAXx9fXHx4kUAwIABA3Dq1Cns27cvT6IEAAMHDsSNGzfg5uaGv//+G35+fpBKpZg0aRLu3LlT7ESJSBNcuHABdnZ2+OWXX2BkZARvb2/s2LGDiZIcpNJ/n/v7535NRBWDRrYsqRu2LJG6yszMxFdffYWvv/4aQgg0b94cPj4+aNy4sapD0wi+vsCUKcDz5/9us7QENmwAOLSRSPOV65YlIira8+fP0alTJyxbtgxCCIwbNw43btxgoiQnX19gwIDciRKQ/XrAgOz9RFQxMFkiKofOnDkDOzs7+Pv7w9jYGPv378e2bdtgYGCg6tA0glQKTJ0K5NfunrNt2jR2yRFVFEyWiMqRjIwMzJs3D927d0dMTAzs7OwQFBSEwYMHqzo0jXLlChARUfB+IYDw8OxyRFT+qSRZCgkJgb+/vyqqJiq3wsPD0bFjR6xcuRIAMGnSJFy/fh0NGjRQcWSaJypKueWISLMpNIN3SU2YMAG3bt0qtbXhiCqaEydOwNPTE3FxcTA1NYWXlxcGDBig6rA0loWFcssRkWZTWTccb8IjUlx6ejpmzJiB3r17Iy4uDq1atUJwcDATJQU5O2ff9VbQPJ0SCWBllV2OiMo/jlki0lBhYWFwdnbG2rVrAWTPUH/t2jXUrVtXxZFpPm3t7OkBgLwJU87r9euzyxFR+cdkiUgD+fn5wd7eHjdv3kTlypVx9OhRrFu3Drq6uqoOrdxwcwMOHwZq1cq93dIyezvnWSKqOJgsEWmQtLQ0TJkyBW5ubnjz5g0+/PBDhISEoE+fPqoOrVxycwPu3//39enTQGgoEyWiiobJEpGG+Ouvv+Do6IhNmzYBAGbNmgV/f3/Y2NioOLLy7d2utvbt2fVGVBGp5G44IiqeQ4cOYezYsUhISEC1atWwe/du9OjRQ9VhERFVCAolS97e3iU6Ljo6WpFqiSqM1NRUfP7559i6dSsAwMnJCfv374elpaWKIyMiqjgUSpY8PT0hKeje2kIIIUp0HFFF8ujRI7i7u+POnTsAgHnz5mHJkiXQ0WGDMBFRWVLoW9fa2ppJD1Ep2Lt3L8aPH4/k5GTUqFEDe/bsQdeuXVUdFhFRhaRQshQWFqakMIgIAFJSUjBlyhR4eXkBADp27Ii9e/ei1n/vX6cyY2SU/4K6RFRx8G44IjXx559/om3btvDy8oJEIsGiRYtw4cIFJkpERCqmlMEPT548ga+vL8LCwqCnpwc7Ozu4u7vDwMBAGacnKvd2796NiRMnIiUlBTVr1sTevXvx8ccfqzosIiKCEpKl9evXY/bs2ZBKpbm2L1y4EKdPn0azZs0UrYKo3EpOTsbEiRNld5Z27twZP/30E8zNzVUcGRER5VCoG+7q1auYMWMGMjMzYWhoCHt7e9SrVw8SiQQRERHo378/srKylBUrUbly9+5dtGrVCt7e3tDS0sKyZctw5swZJkpERGpGoWRp8+bNEELAw8MDL168QGBgIB49eoSgoCDUq1cPT548wZkzZ5QVK1G5IITAjz/+iDZt2uDBgweoVasWLl26hPnz50Ob00MTEakdhZKl69evw9LSEtu2bYORkZFs+wcffIANGzZACIHffvtN4SCJyovExEQMHz4cn376KVJTU9GtWzeEhISgffv2qg6NiIgKoFCy9PLlS7Rq1Srflc6dnJwAAK9evVKkCqJyIyQkBC1btsS+ffugra2NlStX4tSpU6hRo4aqQyMiokIoNMA7PT0dlStXznefqamprAxRRSaEwPfff4/p06cjLS0NVlZWOHDgANq1a6fq0IiISA5cN4GoFMXHx+PTTz/FoUOHAAC9evXCzp07Ua1aNRVHRkRE8lI4WXry5EmhC+oWtn/kyJGKVk+ktgIDAzFo0CD8/fff0NHRwapVqzB9+nQuEUREpGEkQpR8In8tLa0Sf/FLJBJkZmaWtGq1kpCQADMzM8THx8u6H6niEkJg06ZNmDlzJjIyMmBra4uDBw+iTZs2qg6NiIjeIe/vNxfSJVKi169fY/To0Th69CgAoF+/ftixY0eBY/uIiEj9cSFdIiW5ceMGBg0ahKdPn0JXVxdr1qzBpEmT+AcFEZGG40K6RAoSQmDNmjVwcnLC06dPUa9ePQQEBOCzzz5jokREVA6UebIUGxuLdevWoXnz5mVdNZHSxcbGonfv3pg5cyYyMzPh7u6O27dvo2XLlqoOjYiIlKRMpg4QQuDMmTPw8vLCyZMnkZGRURbVEpWqa9euYfDgwYiIiICenh7Wr1+P8ePHszWJiKicKdVkKTQ0FDt27MCuXbsQGRmJnBvvHBwcOG0AaaysrCysXr0aCxYsgFQqRcOGDeHj44MWLVqoOjQiIioFSk+W0tLScPjwYXh5ecHf3x9CCAghIJFIMHv2bIwcORLvv/++sqslKhOvXr3CyJEjcfbsWQDAsGHDsHXrVpiYmKg4MiIiKi1KS5Zu374NLy8vHDhwAPHx8RBCQEdHB66urvj999/x9OlTrFy5UlnVEZW5X3/9FUOGDEFUVBQMDAywadMmjB49mt1uckhOBoyNs58nJQHvrLtNRKT2FEqWXr9+jZ9++gleXl64e/cugOzxSY0bN8bo0aMxcuRIvPfee3B2dsbTp0+VEjBRWZNKpVi+fDkWL16MrKwsNGnSBD4+PmjWrJmqQyMiojKgULJkYWGBjIwMCCFgbGyMQYMGYfTo0fjoo4+UFR+RSr148QLDhw/HxYsXAQCenp7YvHkzjNg0QkRUYSiULKWnp0MikcDS0hJ79uxBhw4dlBUXkcpdvHgRw4YNw8uXL2FoaIitW7fyxgRSOWmWFFeeXUFUYhQsTCzgbO0MbS1tVYdFVK4pNM9S8+bNIYRAREQEPv74Y9jZ2WHjxo2IjY1VVnxEZU4qleLLL7/EJ598gpcvX6JZs2a4ffs2EyUNlZwMSCTZj+RkVUejGN8/fWG7wRYuu10w1HcoXHa7wHaDLXz/9FV1aETlmkLJ0p07d3Dz5k2MGzcOJiYm+P333zF9+nTUrl0bgwYNwtmzZ6HAOr1EZS4yMhKdOnXC0qVLIYTAp59+ips3b6Jx48aqDo0qON8/fTHAZwAiEiJybX+e8BwDfAYwYSIqRRKhpGzm7du38PHxgZeXF65evZp9cokEtWvXxtu3bxEXFwepVKqMqtSOvKsWk3o7e/Yshg8fjpiYGBgbG2P79u0YMmSIqsMqF1R5N1x5uBNPmiWF7QbbPIlSDgkksDS1ROjUUHbJERWDvL/fSlvuxMDAAB4eHvD398fDhw8xe/ZsmJubIyIiQtYt5+joiO3btyM+Pl5Z1RIpLDMzE/PmzUO3bt0QExMDOzs73L59m4mSEr37d5K/f+7XVLQrz64UmCgBgIBAeEI4rjy7UoZREVUcpbI2XIMGDbBy5UqEh4fj6NGj6NmzJ7S0tHD9+nVMmDABFhYWGDx4cGlUTVQs4eHh6Nixo2wOsIkTJ+L69eto2LChiiMrP3x9gXfnoXV1BWxts7eTfKISo5RajoiKp1QX0tXW1kbv3r1x/PhxhIeH4+uvv0a9evWQmpqKQ4cOlWbVREU6deoU7OzscO3aNZiamsLHxwffffcd9PX1VR1aueHrCwwYADx/nnv78+fZ25kwycfCxEKp5YioeEo1WXpXzZo1MW/ePDx69AiXLl3C8OHDy6pqolzS09Mxc+ZM9OzZE3FxcWjZsiWCgoIwcOBAVYdWrkilwNSpQH6jInO2TZtW+l1y5aEL0NnaGZamlpAg/9niJZDAytQKztbOZRwZUcVQZsnSuzp06IDdu3eromqq4MLCwtC+fXusWbMGADB16lRcu3YN9erVU3Fk5c+VK0BEwcNsIAQQHp5drrSUly5AbS1tbOi2AQDyJEw5r9d3W8/B3USlRCXJEpEqHD16FPb29rhx4wYqV64MPz8/rF+/Hnp6eqoOrVyKknP4jLzliqu8dQG6NXHDYffDqG1aO9d2S1NLHHY/DLcmbiqKjKj8U9pCukTqKi0tDbNnz8bGjRsBAG3btsXBgwdhY2Oj4sjKNws5h8/IW644iuoClEiyuwD79AG0Nagxxq2JG/o06sMZvInKGJMlKtf++usvDBo0CLdv3wYAzJw5E8uXL0elSpVUHFn55+wMWFpmt+Tkl7RIJNn7nUthmE1xugA7dlR+/aVJW0sbHW07qjoMogqlXHXDzZ49GxKJBBKJBMuWLcuzf/HixbL9BT0ePHiggsipNBw6dAgODg64ffs2qlatipMnT+Kbb75holRGtLWBDdnDbCD5z7jknNfr15dOy46quwCJqHwpNy1LAQEBWLNmDSQSSZFLrLRo0QJ2dnb57jMzMyuF6Kgspaam4vPPP8fWrVsBZE+Gun//flhZWak4sorHzQ04fBiYMiX32CFLy+xEya2UhtmosguQiMqfcpEspaSkwNPTExYWFmjdujWOHj1aaPm+ffti8eLFZRIbla3Hjx/D3d0dISEhAIB58+ZhyZIl0NEpFx91jeTmBnTuDOT8HXL6NNClS+mOFVJlFyARlT/lohtu3rx5ePz4MbZv386WoQps//79cHBwQEhICGrUqIEzZ85g+fLlTJTUwLuJUfv2pT+oWpVdgERU/mh8snT58mVs2rQJI0eOhKurq6rDIRVISUnBp59+iqFDhyIpKQkdOnRASEgIunbtqurQSIVyugBr1cq93dIye3tpdQESUfmj0X9yJyUlYfTo0TA3N8f69evlPi4oKAhz585FXFwczMzMYG9vj169esHExKT0gqVS8eeff8Ld3R337t2DRCLBwoULsXDhQrYmEQDVdAESUfmj0b8oM2fORGhoKPz8/FClShW5jztx4gROnDiRa5uZmRk2btyIkSNHFnl8Wloa0tLSZK8TEhLkD5qUZvfu3Zg4cSJSUlJgbm6OvXv3olOnTqoOi9RMWXcBElH5o7HdcOfOncO2bdswePBg9O3bV65j6tWrh+XLlyM4OBhxcXGIi4vD1atX0bNnT8THx8PDwwN79+4t8jwrVqyAmZmZ7MG7rMpWcnIyPD094enpiZSUFHTq1AkhISFMlIiIqFRIRFH32auh+Ph4NGvWDGlpabh//z6qV68u2+fp6Yndu3dj6dKlWLBggdznnDJlCjZt2oQaNWogIiICurq6BZbNr2XJysoK8fHxMDU1LdmbIrncu3cP7u7u+PPPP6GlpYWvvvoK8+bNgzabC6gAycmAsXH286QkwMhItfEQkfpISEiAmZlZkb/fGtmyNG3aNERERGDz5s25EiVFLF68GNra2oiOjsaNGzcKLaunpwdTU9NcDypdQgh4eXmhdevW+PPPP1GrVi388ssvWLBgARMlIiIqVRrZslS5cmUkJyfD0dExz74HDx7g5cuXsLW1hY2NDWrWrIkDBw7Idd5atWohKioK+/btw5AhQ+SOR97MlEomMTEREyZMkHWRduvWDd7e3qhRo4aKIyNNwJYlIiqIvL/fGjvAOzMzE7/++muB+8PCwhAWFib3YqlSqRTx8fEAwLvi1MidO3fg7u6OR48eQVtbG19//TVmzZoFLS2NbBQlIiINpJG/OG/evIEQIt+Hh4cHAGDp0qUQQiAsLEyucx4/fhwpKSmQSCRo1apVKUZP8hBC4Pvvv0fbtm3x6NEjWFpa4tdff8WcOXOYKFGxGBllz+ItBFuViKhkKsyvzrNnz/DTTz8hNTU1z76jR49i7NixAIBhw4ahZs2aZR0evSM+Ph6DBw/GhAkTkJaWhp49eyIkJCTfblciIqLSprHdcMUVFxeHESNGYMKECbC3t0ft2rXx9u1b3L9/H48fPwYAuLi4yBZfJdW4ffs23N3d8ffff0NHRwerVq3C9OnTIfnvmhVERERlpMIkS1ZWVpgzZw5u3bqFJ0+eICgoCOnp6ahevTp69uyJoUOHYtCgQeziUREhBDZv3oyZM2ciPT0dNjY2OHjwINq2bavq0IiIqILTyLvh1A3vhlPM69evMWbMGPj5+QEA+vbtix07dhRrVnYiIqLiKtfzLFH5cePGDTg4OMDPzw+6urrYuHEjfH19mSgREZHaqDDdcKRehBBYt24d5syZg8zMTNStWxc+Pj5o2bKlqkMjIiLKhckSlbnY2Fh4enri5MmTAICBAwfihx9+gFnO0vBERERqhN1wVKYCAgJgb2+PkydPQk9PD1u3bsXBgweZKBERkdpiskRlIisrC6tWrUL79u0RHh6OBg0a4LfffsP//vc/TgtARERqjd1wVOqio6MxcuRInDlzBgAwdOhQfP/991xWhoiINAKTJSpV/v7+GDJkCCIjI6Gvr4/Nmzdj9OjRbE0iIiKNwW44KhVSqRTLli2Di4sLIiMj0bhxY9y6dQtjxoxhokRERBqFLUukdC9fvsSwYcNw8eJFAICHhwe+++47GHEVUyIi0kBMlkipLl68iGHDhuHly5cwNDTEli1b4OHhoeqwiIiISozdcKQUUqkUixYtwieffIKXL1+iWbNmCAwMZKJEREQajy1LpLDIyEgMGzYMly9fBgCMHTsWGzZsgKGhoWoDIyIiUgImS6SQs2fPYsSIEYiOjoaxsTG2bduGoUOHqjosIiIipWE3HJVIZmYmvvjiC3Tr1g3R0dFo0aIFbt++zUSJiIjKHbYsUbFFRERgyJAhuHr1KgBgwoQJWLt2LfT19VUcGRERkfIxWaJiOXXqFDw8PBAbGwtTU1P88MMPcHd3V3VYREREpYbdcCSXjIwMzJo1Cz179kRsbCxatmyJoKAgJkpERFTusWWJivT06VMMGjQIN27cAABMmTIFq1evhp6enoojIyIiKn1MlqhQR48exahRo/DmzRtUrlwZO3fuRN++fVUdFhERUZlhNxzlKz09HdOmTUO/fv3w5s0btG3bFsHBwUyUiIiowmGyRHn8/fffcHR0xIYNGwAAM2bMgL+/P2xtbVUbGBERkQqwG45yOXz4MMaMGYOEhARUrVoVu3fvRs+ePVUdFhERkcqwZYkAAKmpqZg0aRIGDhyIhIQEODo6IiQkhIkSERFVeGxZIjx+/Bju7u4ICQkBAMydOxdLlixBpUqVVBsYVWjSLCmuPLuCqMQoWJhYwNnaGdpa2qoOi4gqICZLFdz+/fsxbtw4JCUloXr16tizZw+6deum6rCogvP90xdTz0xFREKEbJulqSU2dNsAtyZuKoyMiCoidsNVUG/fvsW4ceMwdOhQJCUloX379ggJCWGiRCrn+6cvBvgMyJUoAcDzhOcY4DMAvn/6qigyIqqomCxVQA8ePEDbtm3xww8/QCKRYOHChbh48SJq166t6tCogpNmSTH1zFQIiDz7crZNOzMN0ixpWYdGRBUYk6UKxtvbGy1btsTdu3dhbm6Oc+fOYcmSJdDRYY8sqd6VZ1fytCi9S0AgPCEcV55dKcOoiKiiY7JUQSQnJ2PUqFHw8PBASkoKOnXqhJCQEHTu3FnVoRHJRCVGKbUcEZEyMFmqAP744w+0adMGu3btgpaWFpYsWYKzZ8+iZs2aqg6NKBcLEwulliMiUgYmS+WYEAJeXl5o3bo17t+/DwsLC/zyyy9YuHAhtLV5CzapH2drZ1iaWkICSb77JZDAytQKztbOZRwZEVVkTJbKqcTERIwYMQJjx47F27dv0bVrV4SEhKBDhw6qDo2oQNpa2tjQLXuZnf8mTDmv13dbz/mWiKhMMVkqh+7cuYNWrVph79690NbWxooVK3D69Gm89957qg6NqEhuTdxw2P0wapvmvjvT0tQSh90Pc54lIipzEiFE3nt0qVgSEhJgZmaG+Ph4mJqaqiwOIQS2b9+OqVOnIi0tDZaWlti/fz+cnJxUFhNRSXEGbyIqbfL+fvN+8XIiISEBn376KXx8fAAAPXr0wO7du1GtWjUVR0ZUMtpa2uho21HVYRARsRuuPAgKCoKDgwN8fHygo6ODb7/9FsePH2eiREREpARsWdJgQghs3rwZM2fORHp6OmxsbHDgwAF8+OGHqg6NiIio3GCypKHevHmDMWPGwNc3e52svn37YseOHahSpYqKIyMiIipf2A2ngW7evAl7e3v4+vqiUqVK2LBhA3x9fZkoERERlQImSxpECIG1a9fC0dERYWFhqFu3LgICAjBlyhRIJPlP4kdERESKYTechoiLi4OnpydOnDgBABgwYAB+/PFHmJmZqTgyIiKi8o0tSxogICAAdnZ2OHHiBPT09LBlyxb4+PgwUSIiIioDTJbUWFZWFlavXo327dsjPDwcDRo0wG+//YYJEyaw242IiKiMsBtOTcXFxWH48OH4+eefAQBDhgzBtm3bYGJiouLIiIiIKha2LKmpSpUq4a+//oK+vj5++OEH7N27l4kSERGRCrBlSU2ZmJjg8OHDAIDmzZurOBoiIqKKi8mSGmOSREREpHrlqhtu9uzZkEgkkEgkWLZsWYHlLly4AFdXV1SvXh0GBgZo3Lgx5s+fj6SkpDKMloiIiDRBuUmWAgICsGbNmiLvElu3bh0++eQTnDlzBk2bNkWvXr0QHx+P5cuXo1WrVoiJiSmjiImIiEgTlItkKSUlBZ6enrCwsECfPn0KLBccHIwZM2ZAW1sbp06dwq+//gofHx/89ddf6NSpEx4+fIj//e9/ZRg5ERERqbtykSzNmzcPjx8/xvbt2wudqHHFihUQQmDUqFHo3r27bLuhoSG8vLygpaWFI0eO4MGDB2URNhEREWkAjU+WLl++jE2bNmHkyJFwdXUtsFx6ejpOnToFABg6dGie/TY2NnB0dAQA+Pn5lU6wREREpHE0OllKSkrC6NGjYW5ujvXr1xda9tGjR0hJSQEAtGrVKt8yOduDg4OVGicRERFpLo2eOmDmzJkIDQ2Fn58fqlSpUmjZ0NBQAEDlypULnNzRysoqV1kiIiIijU2Wzp07h23btmHw4MHo27dvkeUTExMBAEZGRgWWMTY2BgAkJCQUeq60tDSkpaXJXhdVnoiIiDSXRnbDxcfHY8yYMahRowY2bdpU5vWvWLECZmZmskdOixQRERGVPxqZLE2bNg0RERHYvHkzqlevLtcxOV1vycnJBZbJmZTS1NS00HPNmzcP8fHxskd4eLickRMREZGm0chuOD8/P+jo6GDLli3YsmVLrn05t/17eXnhwoULqFmzJg4cOABbW1sAwJs3b5CYmJjvuKWcpCenbEH09PSgp6en+BshIiIitaeRyRIAZGZm4tdffy1wf1hYGMLCwmBjYwMAaNSoEQwNDZGSkoLAwEC4uLjkOSYwMBAA4ODgUDpBExERkcbRyG64N2/eQAiR78PDwwMAsHTpUgghEBYWBgDQ1dVFjx49AAD79u3Lc86nT58iICAAANCvX7+yeSNERESk9jS2Zakk5s6di8OHD2Pnzp3o378/unXrBiB7uZQxY8ZAKpWif//+aNy4cbHOK4QAwLviiIiINEnO73bO73hBKlSy5ODggDVr1uDzzz+Hq6srOnTogPfeew9XrlxBVFQUGjVqhO+//77Y582ZloB3xREREWmexMTEQpdLq1DJEgBMnz4dzZs3x5o1a3Dz5k0kJyfD2toa8+bNw7x58wqcsLIwtWrVQnh4OExMTCCRSPLsT0hIgJWVFcLDw4u8047kx+taenhtSweva+nhtS0d5f26CiGQmJiIWrVqFVpOIopqeyKFJSQkwMzMDPHx8eXyw6YqvK6lh9e2dPC6lh5e29LB65pNIwd4ExEREZUVJktEREREhWCyVAb09PSwaNEiTmSpZLyupYfXtnTwupYeXtvSweuajWOWiIiIiArBliUiIiKiQjBZIiIiIioEkyUiIiKiQjBZUqLZs2dDIpFAIpFg2bJlBZa7cOECXF1dUb16dRgYGKBx48aYP38+kpKSyjBazVHUdV28eLFsf0GPBw8eqCBy9eLp6VnkdUpNTc332Nu3b2PgwIEwNzeHvr4+6tSpg8mTJ+PVq1dl/C7UU0mu7a5du4o85syZMyp6R+olPT0dGzduhJOTE6pWrQp9fX1YWlqie/fuOHjwYL7H8HtWPsW5thX5u7bCzeBdWgICArBmzRpIJJJC15hZt24dPv/8c0gkEjg7O8Pc3BxXrlzB8uXLceTIEVy9ehXVq1cvw8jVm7zXFQBatGgBOzu7fPcVNo19RePo6Ij69evnu09bWzvPtsOHD2PIkCHIzMxE69atUadOHQQGBmLz5s04dOgQrl69WuD5KpriXlsAqFevHpycnPLdV7t2baXFpqkiIiLQtWtX3L9/H9WrV4ejoyOMjIwQHh4Of39/GBkZYdCgQbmO4fesfEpybYEK+l0rSGHJycmiQYMGonbt2qJv374CgFi6dGmeckFBQUIikQhtbW1x+vTpXMd36tRJABD9+/cvy9DVmrzXddGiRQKAWLRoUdkHqUE8PDwEALFz5065j3n+/LkwNDQUAMS2bdtk2zMzM8Xw4cMFANG6dWuRlZVVChFrjpJc2507dwoAwsPDo9Ti0nQpKSmicePGAoBYvHixSE9Pz7U/OTlZBAcH59rG71n5lOTaVuTvWnbDKcG8efPw+PFjbN++vdCsesWKFRBCYNSoUejevbtsu6GhIby8vKClpYUjR46U22bM4pL3ulLpWb9+PVJSUtC5c2eMGzdOtl1bWxtbt26FmZkZbt26hXPnzqkwSiqvVqxYgQcPHmDcuHFYtGgRKlWqlGu/oaFhnhYOfs/KpyTXtiJjsqSgy5cvY9OmTRg5ciRcXV0LLJeeno5Tp04BAIYOHZpnv42NDRwdHQEAfn5+pROsBpH3ulLpyvks5veZNTY2Ru/evQEAvr6+ZRoXlX8ZGRnYunUrAGDWrFlyHcPvWfmU5NpWdByzpICkpCSMHj0a5ubmWL9+faFlHz16hJSUFABAq1at8i3TqlUrXLlyBcHBwcoOVaMU57q+KygoCHPnzkVcXBzMzMxgb2+PXr16wcTEpPSC1UCXLl3C3bt3kZiYiGrVqqFNmzZwdXXNM0NvYmIinjx5AqDwz+yePXsq/Gc2h7zX9l1PnjzBggUL8OrVKxgbG6NZs2bo3bt3hR9TExQUhJiYGNSqVQv169fH3bt34evri8jISFSpUgXOzs7o3r07tLT+/Zuf37PyKcm1/e/xFe27lsmSAmbOnInQ0FD4+fmhSpUqhZYNDQ0FAFSuXLnAD5SVlVWushVVca7ru06cOIETJ07k2mZmZoaNGzdi5MiRyg5TY3l7e+fZZmFhgR07dqBbt26ybWFhYbLn1tbW+Z6Ln9nc5L2277p27RquXbuWa5u+vj4WL16MOXPmlEqcmuD3338HAFhaWmLu3LlYvXp1rps8Vq1aBXt7exw9elT2+eT3rHxKcm3fVRG/a9kNV0Lnzp3Dtm3bMHjwYPTt27fI8omJiQAAIyOjAssYGxsDABISEpQSoyYq7nUFsu8mWr58OYKDgxEXF4e4uDhcvXoVPXv2RHx8PDw8PLB3797SDVwDtGjRAhs2bMC9e/eQkJCAly9f4ty5c2jXrh2ioqLQu3dvXL58WVY+5zMLFPy55Wc2W3GvLQDUrFkT8+fPx40bNxAdHY2EhATcunULI0eORFpaGubOnYvly5er5g2pgdjYWABAcHAwVq1ahYkTJ+Lhw4eIj4/H+fPn0bBhQwQHB6NHjx7IyMgAwO9ZeZXk2gIV/LtWtePLNdObN2+EpaWlqFGjhoiOjs61L+eumP/etbV3714BQNSuXbvA827fvl0AEA0bNiyVuNVdSa5rUSZPniwAiBo1aoi0tDRlhltuZGVliT59+ggAokWLFrLt165dEwAEAJGRkZHvsefOnRMAhK6ubhlFq1kKurZFWbNmjQAg9PT0xIsXL0ovQDW2fPly2edvyJAhefY/ffpU6OvrCwDC29tbCMHvWXmV5NoWpbx/17JlqQSmTZuGiIgIbN68We5xBTlNwsnJyQWWyZkszdTUVPEgNVBJrmtRFi9eDG1tbURHR+PGjRtKOWd5I5FI8NVXXwEA7ty5g/DwcADI1Y1R0Oe2on9mi1LQtS3K1KlTUb16daSlpVXYOw3f/fyNHz8+z35ra2v06NEDQPYElO8ew+/ZwpXk2halvH/XcsxSCfj5+UFHRwdbtmzBli1bcu3LuR3Vy8sLFy5cQM2aNXHgwAHY2toCAN68eYPExMR8+9NzvkhzylY0JbmuRalatSree+89REVFISIiolTiLg+aNGkiex4REQErKyvY2NjItj179gzNmzfPc1xF/8zKI79rWxRtbW00aNAAMTExFfZzW7du3Xyf51cmKioKAPg9K6eSXNuilPfvWiZLJZSZmYlff/21wP1hYWEICwuT/eA0atQIhoaGSElJQWBgIFxcXPIcExgYCABwcHAonaA1QHGva1GkUini4+MBoFzfqaGonDEMwL/XydTUFPXr18eTJ08QGBiYb7LEz2zR8ru2xTmuon5uHRwcZDP3x8TE5JtkxsTEAPh3HBK/Z+VTkmtblPL+XctuuBJ48+YNhBD5Pjw8PAAAS5cuhRBCdkeRrq6urFlz3759ec759OlTBAQEAAD69etXNm9EzZTkuhbl+PHjSElJgUQiKfBWYoKslc7U1BSNGjWSbc/5LOb3mU1KSpLdEePm5lYGUWqmgq5tYYKCgvDo0SMAQJs2bUotNnVWs2ZN2TIw+XUFZWRkyP6wyrlG/J6VT0mubVHK/Xdt2Q+TKt8KG4h8+/Zt2TT8P//8s2w7p+EvWkHX9enTp2LPnj3i7du3eY7x8/MTVatWFQDE8OHDyypUtRQcHCyOHTuWZ6C2VCoVP/74o2ww54IFC3Ltf3e5k+3bt8u2Z2ZmihEjRnC5E1Gya5ucnCw2b94sEhIS8pzv119/Fba2tgKAcHJyKvX41dmFCxcEAFGlShVx/fp12faMjAzZgGITE5Ncg+D5PSuf4l7biv5dy2RJyYq6a2vt2rUCgJBIJKJjx47C3d1dWFhYCACiUaNGee4Co2wFXdfg4GABQBgbGwtnZ2cxePBg0adPH9GgQQPZ3R4uLi4iMTFRRZGrBz8/P9kXY6dOncTQoUOFq6ursLa2znVXTH53vfn4+AhtbW0BQLRt21YMGjRI1K1bVwAQ5ubm4vHjxyp4R+qjJNf29evXsrvdPvzwQ+Hu7i7c3NxEs2bNZMc0b95cREZGqvCdqYelS5cKAEJHR0e0a9dOuLm5yZJJAwMDcfLkyTzH8HtWPsW5thX9u5bJkpLJc4v7+fPnRbdu3UTVqlWFnp6eaNCggZg3b16+f2VStoKua0xMjJgzZ474+OOPhbW1tTAyMhKVKlUSFhYWomfPnmLfvn1CKpWqKGr18ffff4tp06YJJycnUbt2baGvry/09PSEtbW1GDBggDh16lShxwcGBgo3NzdRo0YNoaurK2xsbMSkSZMq7G3t7yrJtU1LSxMLFy4U3bt3F3Xq1BEmJiZCR0dH1KhRQ3Tu3Fls27atXN5+XVJnz54V3bt3F1WrVhWVKlUSVlZWwtPTU/z5558FHsPvWfnIe20r+netRIh3pu0kIiIiolw4wJuIiIioEEyWiIiIiArBZImIiIioEEyWiIiIiArBZImIiIioEEyWiIiIiArBZImIiIioEEyWiIiIiArBZImIiIioEEyWiIiIiArBZImIiIioEEyWiIhIYb/88gscHBxgbGyMjz76CAEBAYWWP3z4MPr16wdra2sYGhqiadOmWLNmDTIyMsooYiL5cSFdIiJSyMOHD2FnZwcrKyvY29vjypUrSE5Oxh9//AFLS8t8j/nwww9ha2uLvn37wtzcHAEBAVi2bBnc3d2xe/fuMn4HRIXTUXUARESk2fz8/FC1alXcvXsXenp6iI6ORu3atXHp0iWMGDEi32NOnDiBGjVqyF67uLhACIGFCxdi9erVMDc3L6vwiYrEbjgiIlKIjo4OXr9+jYCAAKSmpuLChQvIyMiAjY1Ngce8myjlaNmyJQAgMjKy1GIlKgkmS0RqrkWLFpBIJNDT00NsbGyhZW1tbSGRSHI99PT0YG1tjUGDBuHKlSsFHrNr165SegfqL+cahIWFybVdkxT3PYSFheX5DC1btqzQY4YNGwZjY2N8/PHHMDAwwPDhw/HFF1+gffv2xYrV398furq6qFevXq7tjRs3zhVPx44di3VeIkUxWSJSY7du3cLvv/8OAEhPT8dPP/0k13GOjo7w8PCAh4cHunfvjqysLPj4+KBDhw5Yu3ZtaYZM+dDEpMvIyEj2GWrRokWhZS0sLDB06FDZaz09PSxZsqRY9d2/fx8bNmzAuHHjYGpqmmtfv3794OHhga5duxbrnETKwjFLRGrMy8sLAFC7dm08f/4cXl5emDp1apHHjR07Fp6enrLXqampGD9+PLy9vTF79mz07NkTDRs2LK2wy42LFy8iIyMDtWvXVnUoZa569epytzY+fPgQW7duhbm5OWJjY/H27Vs8evQITZo0kev4mJgY9O3bF/Xr18fKlSvz7F+xYgUA4PLlyzh79qzc74FIWdiyRKSmUlJSsH//fgDAnj17YGxsjLt37+LWrVvFPpe+vj6+++47GBkZQSqVwtfXV9nhlkv16tVD48aNUalSJVWHotamTJmC9PR0rFixQpaEh4SEyHVsYmIiunfvjvT0dJw5cwZGRkalGClRyTBZIlJThw4dQkJCApo1awYXFxcMGjQIwL+tTcVlbGyMRo0aAUCpdgfljCsBgB9++AEtW7aEkZERKleuDFdXV/z2229FHrdz50589NFHMDMzy9N99fbtW6xZswYffvghKleuDH19fTRq1AizZ88udEzX/fv3MXDgQFSvXh0GBgZo1qwZvv32W0il0gKPKaz7LCUlBevXr4eTkxOqVKkCPT092NjYoFevXti3bx8AYNeuXZBIJHj69CkAoE6dOrnG3ly+fDnXOcvyvSmLr68vzp07hzZt2sDT01PWZSdPspSWloY+ffogLCwMZ8+eRa1atUo5WqISEkSklpydnQUAsXbtWiGEENeuXRMAhJmZmUhJScn3GBsbGwFA7Ny5M9/99evXFwDElClT5D6muAAIAGL69OlCIpEIJycnMWTIENGsWTMBQOjo6AhfX98Cj/vss8+ElpaW7Li2bduKsLAwIYQQz58/F82bNxcARNWqVUXnzp1Fv379ZO/B1tZWVvZdV65cEUZGRgKAqFu3rhg8eLDo3LmzqFSpkujfv7/s+NDQ0FzHFbT92bNn4v333xcAhKGhofjkk0/E4MGDhbOzszAzMxM2Njayej08PGR19+/fX3h4eMgef/75p+ycZf3eChIaGioAyN5DYZKTk4W1tbWQSCTixo0bQgghVqxYIQCILl26FHpsZmam6Nu3rzA2NhY3b96UK7ZLly4JAKJDhw5ylSdSFiZLRGro4cOHAoCoVKmSePXqlWx748aNBQDh7e2d73GFJT537twRWlpaAoDYsWOHXMeURE7SY2BgIC5evJhr3+rVq2UJ38uXL/M9ztTUVFy/fj3PebOysoSjo6MAIMaMGSMSEhJk+zIyMsSMGTMEAOHi4pLruLdv3worKysBQEybNk1kZmbK9t25c0dUr15dVrc8yZJUKhWtWrWSJQTv/vvk1Hfq1Kkiz6Pq91aQ4iRL8+fPFwCEp6enbNvp06cFAGFubl7osePHjxcAxNKlS8X169dzPeLj4/M9hskSqQqTJSI1NGfOHFlLxLtyko2CfizyS3zevHkjTp06JerVqycAiFq1aomkpKRCj1FEzo/ztGnT8t2fk2h8/fXX+R63ZMmSfI/7+eefBQBhZ2cnMjIy8uyXSqWy1qu7d+/Ktv/0008CgLCyshLp6el5jlu3bl2xkqWjR48KAMLCwkIkJiYWdBmKPI+q31tB5E2WHj9+LPT09ISpqal48eKFbHtERISszsjIyAKPz7km+T0uXbqU7zFMlkhVOGaJSM1kZmbKlnsYPXp0rn0jR46Ejo4O/P398ddffxV4jlGjRsnGxVSuXBk9evTAX3/9hXr16uH06dNlMojWw8Mj3+0jR44EgDzjdXIMGDAg3+2nTp0CAPTv3x86Onlv5NXS0pLN6/PuumQ59bi7u+c7ULugOAty5swZAMDQoUNhbGxcrGMLoi7vrTimTJmCtLQ0fPnll7lm265duzaqVasGoPBxS2FhYRDZf7DneXAeJVI3TJaI1MypU6fw4sUL1K5dO8+8Mubm5nB1dYUQAjt27CjwHO/Os/Tpp59i/vz5OHHiBB48eFDknDnKUqdOnUK3R0RE5Lvf1tY23+1///03AGDhwoV5Jk3MeWzZsgUAEB0dLTsup56C4qlSpQrMzMyKfkP/yBms3bhxY7mPKYq6vDd5HTt2DD///DMaNWqEKVOm5Nn/wQcfAADu3Lmj9LqJVIHzLBGpmZy73VJTU9GhQ4c8+58/fw4g+06rJUuWQFtbO0+Z/86zpI5EAWt4GxgY5Ls9KysLAODk5JRnhuf/atq0qWLBlTFNem+pqamYPn06gOw7Al1cXPKUefz4MQD5pw8gUndMlojUSFRUFE6fPg0AiI2NxbVr1wosGxkZiTNnzqBHjx5lFV6xhIaGws7OLs/2nNvwC1qNviBWVlYAgD59+mDmzJlyH5czoWRB0yW8efMG8fHxcp/P2toaAPDgwQO5jymKurw3eaxcuRKhoaEAgPDwcISHhxdYlskSlRfshiNSI7t27YJUKkXbtm0LHM8hhMDs2bMBlHzOpbKwZ8+eQrcXd1xK9+7dAWTPP1VQq1R+clrnfHx8kJGRkWe/t7d3seLo1q0bAGD//v1ITk6W6xhdXV0A2ePR8qMu760ooaGhWLVqFSpVqoQHDx4U+Pm8ffs2gOwWppSUFKXGQKQKTJaI1EjOOKSiBubmDJI+efJkrjEs6mTr1q15BnGvW7cON2/ehImJCcaMGVOs8/Xp0wetW7fGzZs3MWrUqHzf9+vXr/H999/nSkoGDBiA2rVr49mzZ5g3b56sywsA7t27V+Qisf/Vu3dv2NvbIzIyEgMHDswzWWRqaip+/vnnXNtyWtH++OMPtX5vRZk6dSpSU1MxadIk2QSn+WnSpAm0tLSQlZUlW9uQSKOV4Z13RFSIy5cvCwBCT09PxMXFFVnewcFBABDffvutbFtJpgHIOaZu3bqibdu2BT5u374t1/nwztQBEolEtG/fXgwZMkQ24aK2trY4dOhQgccV5vnz58LOzk4AEEZGRqJdu3Zi8ODBws3NTdjZ2QltbW0BQLx9+zbXcZcvXxaGhoYCgKhXr54YPHiw+OSTT0SlSpWEm5tbsSelDAsLE40aNZJNStmlSxcxZMgQ0b59+1yTUubYvHmzACCMjY2Fm5ubGDNmjBgzZox48OCByt5bQQqaOuDkyZMCgKhevbp4/fp1kefJmapi69atctUrD04dQKrCZIlITYwYMUIAEAMGDJCr/Pr16wUA0aRJE9k2RZKloh4FzX3zX+8mPVu3bhV2dnbCwMBAmJqaim7duolr164VeVxhUlNTxffffy9cXFxEtWrVhI6OjnjvvfeEnZ2dmDRpkjh79my+x929e1e4ubmJqlWrCj09PdGkSROxYsUKkZGRUexkSQghEhMTxapVq0Tr1q2FiYmJ0NPTEzY2NqJ3797iwIEDucpKpVKxYsUK0bRpU6Gvr1/gNS3L91aQ/JKl1NRUWfKzZcsWuc7Tu3dvAUCMHz9ervLyYLJEqiIRohgd5ERERchZ341fLZopLCwMderUgY2NTamuIVgSly9fhouLCzp06FDgPF1EpYF3wxERUR4xMTGy6Sf69++PXr16qSyWefPmISoqCi9evFBZDFSxMVkiIqI8kpOTZTPJ169fX6XJkp+fHx4+fKiy+onYDUdESsVuOCIqb9iyRERKxSSJiMobzrNEREREVAgmS0RERESFYLJEREREVAgmS0RERESFYLJEREREVAgmS0RERESFYLJEREREVAgmS0RERESFYLJEREREVAgmS0RERESFYLJEREREVIj/Aw/HiLKl7PiVAAAAAElFTkSuQmCC\n", + "image/png": 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\n", 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" ] @@ -1985,103 +2014,103 @@ "name": "stdout", "output_type": "stream", "text": [ - "OVERALL SCORE (MAE, RMSE, r2, Pearson): 3.3577180599357255 4.313359686748819 -1.0109036068400377 0.8394685053592226 \n", + "OVERALL SCORE (MAE, RMSE, r2, Pearson): 2.4291648535766095 3.017988775346135 0.4312138616980209 0.9238458495698414 \n", "\n", "MODEL NAME: GradientBoostingRegressor \n", "\n", "REF: Shahane et al. 2019\n", "bacterial membrane\n", "Number of lipids: 132\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.83628613204529 3.0362861320452907\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.86840768314271 2.0684076831427163\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "mammalian membrane\n", - "Difference betweer predicted and literature (ML prediction and difference): 44.75473141452143 2.6547314145214287\n", + "Difference betweer predicted and literature (ML prediction and difference): 44.84758907921232 2.747589079212318\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "cancer membrane\n", - "Difference betweer predicted and literature (ML prediction and difference): 53.949018356423245 7.849018356423244\n", + "Difference betweer predicted and literature (ML prediction and difference): 53.39880245493504 7.298802454935036\n", "Sum of fractions (should be 1): 1.01 \n", "\n", "REF: Kumar et al. 2021\n", "M13\n", - "Difference betweer predicted and literature (ML prediction and difference): 53.47631314364304 4.416313143643038\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.28826604755962 12.228266047559615\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M12\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.215442335971424 5.2454423359714255\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.995293329058505 5.025293329058506\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M11\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.48606312943558 5.866063129435581\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.995293329058505 5.375293329058508\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M10\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.45037478064447 3.610374780644463\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.995293329058505 4.155293329058502\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M9\n", - "Difference betweer predicted and literature (ML prediction and difference): 52.934866398140315 7.394866398140316\n", + "Difference betweer predicted and literature (ML prediction and difference): 53.552308213179835 8.012308213179836\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M8\n", - "Difference betweer predicted and literature (ML prediction and difference): 57.48665955945259 -0.9833404405474084\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.01407046413274 0.5440704641327443\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M7\n", - "Difference betweer predicted and literature (ML prediction and difference): 44.20389723433013 -1.596102765669869\n", + "Difference betweer predicted and literature (ML prediction and difference): 44.98463039308494 -0.8153696069150556\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M6\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.59398408573558 2.7939840857355804\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.911250027648045 2.1112500276480475\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M5\n", - "Difference betweer predicted and literature (ML prediction and difference): 57.85263229773138 -1.8473677022686203\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.798340197076215 -0.9016598029237883\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M4\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.392437332500364 2.332437332500362\n", + "Difference betweer predicted and literature (ML prediction and difference): 60.71911627575633 3.6591162757563254\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M3\n", - "Difference betweer predicted and literature (ML prediction and difference): 58.07306582645103 -1.446934173548975\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.43048135753614 -0.0895186424638652\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M2\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.11167159774685 3.0916715977468456\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.99092663291518 2.97092663291518\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M1\n", - "Difference betweer predicted and literature (ML prediction and difference): 63.93006144675162 -0.8799385532483797\n", + "Difference betweer predicted and literature (ML prediction and difference): 63.49545959265335 -1.3145404073466551\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "REF: Oliveira et al. 2022\n", "M1\n", - "Difference betweer predicted and literature (ML prediction and difference): 58.77564441842259 -3.3243555815774144\n", + "Difference betweer predicted and literature (ML prediction and difference): 60.71911627575633 -1.3808837242436738\n", "Sum of fractions (should be 1): 0.9999999999999999 \n", "\n", "M2\n", - "Difference betweer predicted and literature (ML prediction and difference): 58.77564441842259 -3.224355581577413\n", + "Difference betweer predicted and literature (ML prediction and difference): 60.71911627575633 -1.2808837242436724\n", "Sum of fractions (should be 1): 0.9999999999999999 \n", "\n", "M3\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.94502988477372 -1.7549701152262855\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.821306948929916 -1.878693051070087\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M4\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.81974520121377 -1.7802547987862312\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.946690811000465 -2.653309188999536\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M5\n", - "Difference betweer predicted and literature (ML prediction and difference): 57.666072837064874 -3.5339271629351288\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.43048135753614 -1.769518642463865\n", "Sum of fractions (should be 1): 1.0 \n", "\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -2093,103 +2122,103 @@ "name": "stdout", "output_type": "stream", "text": [ - "OVERALL SCORE (MAE, RMSE, r2, Pearson): 3.2696540753425385 3.778432921807061 0.37987706340788796 0.8301671625093413 \n", + "OVERALL SCORE (MAE, RMSE, r2, Pearson): 3.2514758883965493 4.351641571452759 0.16092318384123105 0.7972011981192194 \n", "\n", "MODEL NAME: AdaBoostRegressor \n", "\n", "REF: Shahane et al. 2019\n", "bacterial membrane\n", "Number of lipids: 132\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.49841708791102 3.698417087911025\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.32434420226997 4.5243442022699725\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "mammalian membrane\n", - "Difference betweer predicted and literature (ML prediction and difference): 44.25114243197834 2.151142431978336\n", + "Difference betweer predicted and literature (ML prediction and difference): 44.538675375624834 2.4386753756248325\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "cancer membrane\n", - "Difference betweer predicted and literature (ML prediction and difference): 53.35724054678053 7.25724054678053\n", + "Difference betweer predicted and literature (ML prediction and difference): 52.63862733682741 6.53862733682741\n", "Sum of fractions (should be 1): 1.01 \n", "\n", "REF: Kumar et al. 2021\n", "M13\n", - "Difference betweer predicted and literature (ML prediction and difference): 53.35724054678053 4.297240546780529\n", + "Difference betweer predicted and literature (ML prediction and difference): 52.63862733682741 3.5786273368274095\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M12\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.96620518424512 6.99620518424512\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.367023169838454 6.397023169838455\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M11\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.57013527805796 5.950135278057964\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.367023169838454 6.747023169838457\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M10\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.57013527805796 4.730135278057958\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.367023169838454 5.527023169838451\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M9\n", - "Difference betweer predicted and literature (ML prediction and difference): 50.67646743863511 5.136467438635108\n", + "Difference betweer predicted and literature (ML prediction and difference): 49.53182359294794 3.991823592947938\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M8\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.550809849109505 1.0808098491095066\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.09054907972443 2.6205490797244337\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M7\n", - "Difference betweer predicted and literature (ML prediction and difference): 44.25114243197834 -1.5488575680216599\n", + "Difference betweer predicted and literature (ML prediction and difference): 44.31879482812301 -1.4812051718769865\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M6\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.49841708791102 3.698417087911025\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.367023169838454 4.567023169838457\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M5\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.550809849109505 -0.14919015089049736\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.09054907972443 1.3905490797244298\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M4\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.49841708791102 3.43841708791102\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.367023169838454 4.307023169838452\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M3\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.49841708791102 0.9784170879110192\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.32434420226997 1.8043442022699665\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M2\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.49841708791102 3.4784170879110192\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.32434420226997 4.3043442022699665\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M1\n", - "Difference betweer predicted and literature (ML prediction and difference): 63.83337999831763 -0.9766200016823703\n", + "Difference betweer predicted and literature (ML prediction and difference): 63.550100510674305 -1.2598994893256972\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "REF: Oliveira et al. 2022\n", "M1\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.49841708791102 -1.601582912088979\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.367023169838454 -0.7329768301615474\n", "Sum of fractions (should be 1): 0.9999999999999999 \n", "\n", "M2\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.49841708791102 -1.5015829120889777\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.367023169838454 -0.6329768301615459\n", "Sum of fractions (should be 1): 0.9999999999999999 \n", "\n", "M3\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.267863839988436 -1.4321361600115665\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.10665886599613 -0.5933411340038717\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M4\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.550809849109505 -2.049190150890496\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.09054907972443 -0.5094509202755688\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M5\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.49841708791102 -0.7015829120889805\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.32434420226997 0.12434420226996679\n", "Sum of fractions (should be 1): 1.0 \n", "\n" ] }, { "data": { - "image/png": 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evn0bDg4OOHbsGLS0tLBu3Tr4+PigUqVKCm+LSgeTJSIiKlsK01ukwGRJCIHVq1fDyckJwcHBqFmzJvz8/DB58mQOu6k5JktERKTaPk5+fH3zT4Z8fIBPPy35mP4jKioKvXr1wvTp05Geno4BAwbA398fzZo1K/VYSPGYLBERker6b/LTrRtga5v75GwfH6B//8wJ3PJq1664EcLPzw/29vY4ffo0dHR0sGnTJhw6dAgmJibFvjapBiZLRESkmvJKft68yTz+ccIklQJTpgBCyH/9KlWKlSxlZGRgxYoVaNOmDUJCQlCnTh3cunUL48eP57BbGcNkiYiIVE9+yU/WsalT/x2Su3YNCA0tXBtbtwKamkUKLyIiAt27d8ecOXMglUoxZMgQ3L9/H3Z2dkW6Hqk2JktERKR6Ckp+hABCQjLLAUB4uPzXtrQEjh4FXF2LFJqvry/s7Oxw7tw56OrqYvv27di7dy+MjIyKdD1SfUyWiIhI9cib/GSVs7CQr/ywYcDLl0VKlKRSKZYsWQIXFxeEhYWhfv36uHv3LkaPHs1htzKOyRIREakeeZOfrHLOzpk9RgUlLXv3ArVqFXr17rdv36JLly6YP38+MjIy4O7ujnv37qFRo0aFug6pJ4kQhZkNl90XX3yhmCAkEly+fFkh11KGuLg4mJiYIDY2FsbGxsoOh4hI/UmlmU+9vXmT+7wliSQzOQoK+nfeUdaEcCD/id5ZCdWRI3L1MF2+fBlDhw7F27dvoa+vj02bNsHd3b1w74dUkrzf38VKljQ0FNMxJZFIIFXCLtCKwmSJiKgE5JX85Jfs+PgAkycXvHxAbsnWf0ilUixatAiLFy+GEAKNGjXCoUOH8KkS1nGiklFqyVKXLl0we/bsol4Cy5cvx4ULF5gsERFRTrklP1ZWwNq1efcKxcUB8q5xdOVKrssHhIWFYejQobj6/yt8jxkzBuvWrYO+vn6hwifVJu/3d4XiNmRubo62bdsWuf6uXbuKGwIREZVVrq5Ahw7/Jj9nzwKdOuX/yH9hlgPIZSL5+fPnMXz4cERERMDQ0BBbtmzBkCFDChk4lSXFGkerW7cuLOSdhJcHc3Nz1K1bt1jXICKiMuzj5KdNmyKvjZSrj77D0tPT8c0336BLly6IiIhAkyZNcP/+fSZKVLxhOMrEYTgiohKUmAgYGmb+nJAAGBjIX14ikWuCeGhoKAYPHozr168DAMaPH4/Vq1dDV1dXgW+EVE2pDcMRERGptP8mTFkTxNeuBTQ1cebMGbi7uyMqKgrGxsbYtm0b3NzclBIqqSaus0RERGXX3r2AmVn2Y5aWwJEjSOvZEzNnzkSPHj0QFRWFpk2bwt/fn4kS5VCkZCkiIgIPHjxAQkJCrufj4+Ph6+tbrMCIiIiKrXfvf7dEAYD9+4GgILxq2hRt2rTBTz/9BACYPHkybty4gVq1aikpUFJlhUqW0tPTMXLkSJibm8PBwQFVq1bF1KlT8eHDh2zlHj9+DBcXF4UGSkREVCQfTwhv1QonTp+GnZ0dbt26hYoVK8LHxwfr1q2Djo6O8mIklVaoZGn9+vU4dOgQFi1ahDNnzmDq1KnYtm0bWrdujbdv35ZUjERERMWWCmDqokXo06cPYmJi0KJFCwQEBKBv377KDo1UXKGSpR07dmD+/Pn49ttv0aVLFyxbtgx3795FYmIiWrdujRcvXpRUnEREVE4lJub+c2H8DcARwLr/X9tv+vTpuHbtGmxtbYsZHZUHhUqWgoKC0Lp162zHPv30U9y8eROVK1eGo6Mj/P39FRpgQVJTU7F+/Xo4OTmhcuXK0NXVhaWlJbp27YpDhw7lWufSpUvo1q0bTE1Noaenh/r16+Pbb7/Ncw4WERGpryNnz8IewD0AlStWxMmTJ/HTTz9BW1tb2aGRmihUsmRqaprrcFuVKlVw5coVNGzYEC4uLqW2KW5oaCjs7e0xZcoUPH36FI6OjujTpw9sbGzg6+uLw4cP56izZs0adOzYEefOnUPDhg3Rs2dPxMbGYunSpWjWrBkiIyNLJXYiIipZyQAmTpuGAV99hTgArQEEnj6Nnj17KjkyUjuiEPr27SsGDx6c5/mUlBTRp08fIZFIhIaGRmEuXWhJSUmifv36AoBYuHChSE1NzXY+MTFRBAQEZDvm7+8vJBKJ0NTUFGfPns1Wtn379gKA6NevX6FjiY2NFQBEbGxskd4LERHlLeFtghCZKyVl/lxghQTxDBB2gMD/v+YAIhUQCY/+LvmASW3I+/1dqJ6lIUOGICgoCFFRUbme19bWxtGjRzF27FhYW1sXL4srwLJly/DkyROMHTsWCxYsgJaWVrbz+vr6sLOzy1FHCIGRI0eia9eu2cp6enpCQ0MDR48exZMnT0o0diIiKjkHvL3hACAQgGmVKjj2y04sA6CVfzWiPBUqWerfvz9u3ryJKlWq5H1BDQ388ssvCAoKKnZweUlLS8PmzZsBADNnzpSrTmpqKs6cOQMAue7zY2NjA0dHRwDAsWPHFBQpERGVlg8fPmDs2LEYMmoUEgC0ARB48yY6OhV9s3ciQE23O/H390dkZCSqVauG2rVr4+HDh/Dx8UFYWBgqVaoEZ2dndO3aFRoa/+aCz549Q1JSEgCgWbNmuV63WbNmuHbtGgICAkrlfRARkWI8efIEbm5uePjwISQSCeYJge8AVKhWDYnB75QdHqk5tUyW/vjjDwCApaUl5syZg5UrV0J8tO/PihUrYG9vj+PHj8uGA7N6uipWrAgjI6Ncr2tlZZWtbF5SUlKQkpIi+z0uLq7ob4aIiPIllQJX0RbhsEDFGxro1Cv7OpNeXl4YP348kpKSYGZmhr3bt6PDx5O49Q1y/5lITmq5N1zWnKmAgACsWLECEyZMwNOnTxEbG4uLFy+ibt26CAgIQPfu3ZGWlgYgcwsWADDIZ7dqw//fpbqg5GfZsmUwMTGRvbKSLCIiUiwfH+DTpnpwwVUMwQF0c9WDrW3m8cTERIwcORLu7u5ISkrCF198gcDAQHT47w4SH3/u5/MdQJSXUk2WkpOTcefOHWzduhUTJkwo8nWyepHS0tIwePBgbNy4EXXr1oWxsTE6dOiAixcvQldXF48ePcLBgwcVFb7M3LlzERsbK3uFhIQovA0iovLOxwfo3x94Ey7JdvzNG6B/f4H69b/Brl27oKGhgUWLFuHChQswNzfPcZ2snqkDGATfGxqQSkvrHVBZUehhuLCwMFy5cgU2NjZwcnLKs9zbt28RGBiIBw8eIDAwEIGBgXj+/DkyMjJkZTZt2lSkoD8eRhs3blyO89bW1ujevTuOHj2KS5cuYfjw4bI6ifks/5q1KKWxsXG+7evo6HAPISKiEiSVAlOmZK4XAGRPljKPCYSGToe5+VEcOLAX7dq1y/U6Pic0MXmGNt7gauYBV8DSEli3DnB1Lbn4qWwpVLJ08+ZNdOvWDUlJSUhPT8e3336L77//Hs+ePZMlRFkJ0n8Xr8zqDdLQ0ECNGjXQsGHDIgdds2bNXH/OrUx4eDgAyJa0j4mJQXx8fK7zlrJ6iLj8PRGRcl27BoSG5ldCA4A1Nm16iHbtKuVawgd90X+YDj6a0gogq2cKOHKECRPJp1DJ0vTp02FgYIDnz5/j4sWLGD58OFavXo0PHz7Iynw80bpKlSr47LPP8OeffyIiIgL37t1DgwYNoKurW6ygHRwcIJFIIIRAZGRkrnOGslbizpqHVK9ePejr6yMpKQn37t2Dy3/HtAHcu3dPdn0iIlKe//93boGSk3NJlAwMIE0XmGILiFwSLiEAiQSYOhXo3Tv7ZHGi3BRqztLDhw/h7OwMU1NTuLq6IiMjAx8+fICmpiYaNGiAQYMGYdmyZTh79ixCQ0MRERGBy5cvo06dOgAAe3v7YidKAGBubi4bArx06VKO82lpafj9998BAC1atACQuWBm9+7dAQD79+/PUefVq1fw8/MDAO5ATUSkZBYWxStXUM+UEEBISGY5ooIUKlmqU6cOAgICkJ6ejps3bwLI7EkyNTXFzJkzsW/fPsyePRtdunRBtWrVSiTgLAsWLACQ+WTarVu3ZMfT09Mxffp0/P333zAyMsLIkSNl5+bMmQOJRIKdO3fi3LlzsuNJSUkYPXo0pFIp+vXrh/r165do7ERElD9nZ6BatQwAGbmel0gAK6vMcrmRt2dK3nJUvhUqWfrpp5/w+vVr1KhRAz169EDVqlUxZcoUREdHY9SoUWjdujXu379fUrFm0759eyxevBjv37+Hs7MzHB0d0a9fP9SpUwcbNmyAnp4eDhw4ADMzM1kdBwcHrFq1ClKpFN26dYOLiwsGDhyI2rVr4/Lly6hXrx5++eWXUomfiIjy9uCBP6TSr/7/t+wJk+T/53uvXZv3EFpxe6aIsinspnNPnz4Vy5cvFz/99JMIDw8XQgjx5MkT0alTJ9kmtaNHjxbv3r2T1XFyciqxjXXPnz8vunbtKipXriy0tLSElZWV8PDwEH/99VeedS5evCi6dOkiKleuLHR0dESdOnXE3LlzRVxcXJFi4Ea6RESKkZGRITZs2CC0tbUFAFG16lhhapqctY+uAISwshLi6NH8r5OeLoSlpRASichWN+slkWReJz29dN4XqSZ5v78lQvz3OYGi8/HxwbRp0xASEgITExMsWLAAkyZNQrt27eDn5wdpGV3cIi4uDiYmJoiNjS1w2QEiIspdTEwMRo8eDR8fHwBAnz59sGPHDiQnV0LWzA4fH6BXL/kmZWet0wQICPHv8gNZPVN8Go7k/f5W6KKUrq6uePLkCb755hskJydj+vTpaNy4MV6/fq3IZoiIqIy5c+cO7O3t4ePjAy0tLaxbtw4+Pj6oVKlStsTI0VH+p9dcXTMTomrVsq/TZGnJRIkKR+EreOvp6WHJkiV49OgROnfujCdPnsjWL3rx4oWimyMiIjUmhMCaNWvg5OSE4OBg1KxZE35+fpg8eTIkEknBFyiAqyvw+PG/v589CwQFMVGiwimx7U5q1aqFs2fP4tixY6hRowaEEGjUqBFmzJjBjWeJiAjR0dHo3bs3vv76a6SlpaF///7w9/dHs2bNFNrOxz1RbdpwXSUqvBLfG6537954/PgxvvvuO2hoaGDNmjWoU6cOtm7dWtJNExGRivLz84OdnR1OnToFHR0dbNq0Cd7e3jAxMVF2aEQ5lMpGujo6Oli4cCEeP36M7t27IyIiolgb6RIRkXrKyMjAypUr0aZNG4SEhKBOnTq4desWxo8fr5BhN6KSUCrJUhZbW1ucPHkSp06dQo0aNUqzaSIiUrKIiAj06NEDs2fPhlQqxeDBg3H//n3Y2dnlW+/jjR/u38/cZJeoNJVqspSle/fu+PPPP5XRNBERKYGvry/s7Ozw66+/QldXF9u2bcO+ffty3dT8Yz4+wKef/vt7t26ArW3mcaLSUqxkaenSpThz5kyR6mprawMAzpw5g6VLlxYnDCIiUlEZGRn44Ycf4OLigrCwMNSvXx937tzBmDFjChx2y1on6c2b7MffvMk8zoSJSkuxFqXU0NCAh4cHduzYUeQARo4cCS8vL7VesJKLUhIR5fT27VsMHz4cFy9eBACMGDECP//8MwwNDQusK5Vm9iDltRmuRJK5XlJQEJ9uo6JTyqKUREREAPDbb7/Bzs4OFy9ehL6+Pnbu3Indu3fLlSgBwLVreSdKQOamJSEhmeWISlqF4l7gyJEjuHr1apHrR0ZGFjcEIiJSEVKpFIsXL8aiRYsghEDDhg3h7e2NTz+eeCSH8HDFliMqjmInSwkJCUhISCjWNfi4KBGR+gsLC8PQoUNl/4AePXo01q9fD319/UJfy8JCseWIiqNYyVJQUJCi4iAiIjV24cIFDBs2DBERETAwMMCWLVswdOjQIl/P2TlzTtKbN5lDbv+VNWfJ2bkYQRPJqVjJko2NjaLiICIiNZSeno4FCxZg2bJlEEKgSZMm8Pb2Rt26dYt1XU1NYN26zKfeJJLsCVPWYMTatZzcTaWDE7yJiKhIQkND4eLigqVLl0IIgf/973+4efNmsROlLK6uwJEjQLVq2Y9bWmYe52a4VFqKPWeJiIjKn7Nnz2LEiBGIioqCkZERtm/fDjc3N4W34+oKdOgAZG0Zd/Ys0KkTe5SodLFniYiI5JaWloZZs2ahe/fuiIqKgoODA/z9/UskUcrycWLUpk3hE6XExMyhO4kk82eiwmKyREREcnn16hXatGmDH3/8EQAwadIk+Pn5oXbt2kqOLH8fJ0hMlqgoOAxHREQFOnHiBEaOHIn379/DxMQEO3bsgCsnDVE5wZ4lIiLKU2pqKqZNm4Y+ffrg/fv3aNGiBQICApgoUbnCZImIiHIVFBQEJycnrF27FgDw9ddf49q1a6hRo4ZyAyskDsNRcXEYjoiIcjh69ChGjx6N2NhYVKpUCbt370bPnj2VEouBQe4LUxKVlhJLlh4/fgw/Pz9ERESgYcOG6NWrFwAgIyMD6enp0NbWLqmmiYioiJKTkzFjxgz8/PPPAIDWrVvjwIEDsLa2VnJkRMqj8GG4kJAQdOjQAY0bN8a4ceMwb948HD9+XHZ+27Zt0NPTw+XLlxXdNBERFcPz58/RunVrWaI0e/ZsXL16Ve0TpdTUf3/esSP770TyUGiyFB0djbZt2+K3335Dw4YNMX78eIj/9J26ublBQ0MDJ0+eVGTTRERUDAcPHkTTpk0REBAAU1NTnD17FsuXL4eWlpayQyuWWbOATz/99/clSwB9/czjRPJSaLK0YsUKBAcHY8aMGXjw4AE2btyYo0ylSpXQuHFjXL9+XZFNExFREXz48AHjxo3D4MGDER8fD2dnZwQGBqJr167KDq3YZs0CfvwRyMjIflwqzTzOhInkpdBk6cSJE7C1tcXy5cshydrpMBc1a9ZEWFiYIpsmIqJCevLkCVq2bImtW7dCIpFg3rx5+O2331C9enVlh1ZsqanA6tX5l1m9mkNyJB+FJkuvXr2Cg4MDNDTyv6y2tjaio6MV2TQRERXCnj170KxZMzx8+BCffPIJLly4gMWLF6NChbLxkPSmTZk9SPmRSjPLERVEocmSrq4u4uPjCyz3+vVrmGTtikhERKUmMTERo0aNwogRI5CYmIgvvvgCgYGB6NChg7JDU6iXLxVbjso3hSZL9evXh7+/PxLzWfUrMjISDx48wGeffabIpomIqAB//vknWrRogZ07d0JDQwPff/89Lly4AAsLC2WHpnA2tgV0KxWyHJVvCk2W+vfvj6ioKHz99dfI+O+Muv83c+ZMJCUlYeDAgYpsmoiI8iCEwM6dO9G8eXM8fvwYFhYWuHz5Mr777jtoamoqO7ySYfZQseWoXFPo4PTEiROxe/dubN++Hffv35ftHfTy5UusXr0ahw8fxp07d2BnZwcPDw9FNk1ERLlISEjA+PHjsXfvXgBAp06dsGfPHnzyySdKjqxkvXqTpNByVL4pNFnS1dXF+fPnMWDAAPj5+SEgIAAAcP36dVy/fh1CCDRv3hzHjx9X+7U7iIhU3R9//IEBAwbg2bNn0NTUxOLFizF79uwCH8IpC2rZ6Cu0HJVvEvHfVSMV5Pz58zhz5gz+/vtvZGRkwMrKCl27dkXv3r3zXVZAHcXFxcHExASxsbEwNjZWdjhEVM4JIbB161ZMmTIFKSkpqF69Og4ePAgnJydlh1ZqUtOk0K/6FtJYc+Q+4yQDmhXDkfTOHNpaZXQokgok7/e3QnuWXr9+DYlEAisrK3Tu3BmdO3dW5OWJiKgAcXFxGDt2LA4dOgQA6NatG3bv3g1TU1MlR1a6tLU08fWi1/hxijmADGRPmDLn1H79fQi0tdR/TSkqeQrti7W1tcWgQYMUeUkiIpKTv78/mjZtikOHDqFChQr48ccfcerUqXKXKGVZObkVZq67Aw2Tf7KfMAzH1B/vYOXkVsoJjNSOQnuWjI2NUaNGDUVekoiICiCEwM8//4zp06cjNTUV1tbWOHToEFq1YjKwcnIrjO4iRf02gYBWEpCmD7xtjCXj2aNE8lNosvTpp58iJCREkZckIqJ8xMTEYMyYMTh69CgAoHfv3tixYwcqV66s5MhUh7aWJvDWTtlhkBpT6DDcl19+iRs3buDu3buKvCwREeXi7t27cHBwwNGjR6GlpYW1a9fi2LFjTJSIFEyhydLIkSMxYcIEdOrUCUuXLsXTp0+RkpKiyCaIiMo9IQTWrl0LR0dHBAUFoUaNGrhx4wamTJlS5p42VgQDg5zHfH0L3juOKItClw4ozEqwEokE6enpimpaqbh0ABGVlujoaIwcORInT54EAPTr1w/bt29HxYoVlRuYCktMBAwNcx63tATWrQP+f/1kKofk/f5WaM+SEELuV17boRARUe5u3rwJOzs7nDx5Etra2vj5559x+PBhJkoFOHEi9+Nv3gD9+wM+PqUbD6kfhSZLGRkZhXoREVHBMjIysHLlSjg7OyMkJAS1a9fGrVu3MGHCBA67FUAqBWbNyv1c1rjK1KkckqP8lf0174mI1FhkZCR69OiB2bNnQyqVYtCgQbh//z7s7e2VHZpauHYtswcpL0IAISGZ5YorMRGQSDJfiYnFvx6pDiZLREQq6tq1a7Czs8Ovv/4KXV1dbN26Ffv37+fcyEIID1dsOSqfFL7dSWFYW1srsnkiojIhIyMDy5Ytw3fffYeMjAzUq1cP3t7e+Oyzz5QdmtqxsFBsOSqfFJos2drayj1+XpaehiMiUpS3b99i+PDhuHjxIgBg+PDh2LRpEwxze5yLCuTsnPnU25s3/85R+phEknne2bn0YyP1odBhOGtr61xflpaW0NTUlD0JZ21tDSsrq2K15eHhAYlEku8rOTk5W51du3YVWOfcuXPFiouIqKiuXLkCOzs7XLx4EXp6eti5cye8vLyYKBWDpmbm8gBAZmL0sazf167NLEeUF4X2LAUHB+d5Lj09HefOncOkSZPg4uKCHTt2KKRNR0dH1K5dO9dzea37VKtWLTg5OeV6rnp17hdERKVLKpViyZIlWLRoETIyMtCwYUN4e3vj008/VXZoZYKrK3DkCPDVV9nnJllaZiZKXGeJCqLQZCnfhipUQI8ePWBlZYUWLVqgVatWGDt2bLGvO2bMGHh4eBSqjpOTE3bt2lXstomIiis8PBxDhw7FlStXAACjRo3Chg0boK+vr+TIyhZXV+Dzz4Fq1TJ/9/EBevVijxLJp9SfhmvSpAmaNWuGX375pbSbJiJSKRcvXoSdnR2uXLkCAwMD7NmzB56enkyUSsjHiZGjo+ITpY/XauJ2KmWLUpYOqF69Op49e6aMpomIlC49PR3z5s1D586d8e7dO3z22We4f/8+hg0bpuzQqIh8fICPR027dQNsbbk6eFlRasNwWYQQ+OOPP6ClpaWQ6125cgUPHz5EfHw8qlSpghYtWqBbt27Q0dHJs86LFy8wb948vHv3DoaGhmjUqBF69eoFU1NThcRERJSX0NBQDBkyBNf+fxXEcePGYc2aNdDT01NyZFRUPj6Z26b892m7rO1UjhzhvCh1V6rJUmRkJObNm4fnz5+jU6dOCrmml5dXjmMWFhbYsWMHunTpkmudGzdu4MaNG9mO6erqYuHChZg9e3aBbaakpCAlJUX2e1xcXCGjJqLy6OzZsxgxYgSioqJgZGSEbdu2YeDAgcoOi4pBKgWmTMl9WQIhMp+4mzoV6N2b86PUmUKH4WrWrJnnq2rVqjAzM8PWrVuhpaWF77//vlhtNWnSBOvWrcOjR48QFxeHt2/f4sKFC2jdujXCw8PRq1cvXL16NVsdc3NzfPvtt7h9+zYiIiIQFxeHu3fvYsSIEUhJScGcOXOwdOnSAttetmwZTExMZK/iLoNARGVbWloaZs2ahe7duyMqKgoODg7w9/dnolTKPp5DdOOGYuYUXbsGhIbmfV6R26mQEgkFkkgk+b50dHREx44dxe3btxXZbDYZGRmid+/eAoBo0qSJ3PVWrVolAAgdHR3xzz//5Fs2OTlZxMbGyl4hISECgIiNjS1m9ERU1rx69Up8/vnnAoAAICZNmiSSk5OVHVa5c/SoENWrC5GZvmS+LC0zjxfH/v3Zr5nXa/9+xbwPUqzY2Fi5vr8lQuTWeVg0r169yvOctrY2qlatigoVSn7k78GDB7CzswOQuQWLPD0/UqkU5ubmiIyMhJeXF4YPHy53e3FxcTAxMUFsbCz3bCIimZMnT8LDwwPv37+HiYkJduzYAVdOXil1ec0pylqUsjhziq5eBVxcCi535QrQrl3R2qCSI+/3t0IzFxsbG0VersgaNGgg+zk0NFSuZElTUxN16tRBZGQkQvPrUyUiKkBqairmzJmDNWvWAACaN2+OQ4cOoUaNGkqOrPwp6TlF3E6lfFDonCVfX1+5lgR4/vw5fH19Fdl0NlFRUbKfjYyMCl2vMHWIiD4WFBQEJycnWaI0bdo0XL9+nYmSkpT0nCJup1I+KDRZateuHVasWFFguZUrV8JFnn7LIjp48CAAwNjYGPXq1ZOrjr+/vyzRa9GiRYnFRkRll4+PD+zt7XH37l1UqlQJJ06cwOrVq6Gtra3s0Mqtj7c3UUS53GRtp5K1OngWS0suG1BWKHxRSgVOgcpTYGAgTp48ifT09GzHMzIy4OnpiW+++QYAMHnyZNl6TklJSfj5558RHx+f43q+vr7o168fgMytUJgsEVFhJCcnY9KkSejXrx9iY2Px+eefIzAwEL169VJ2aOWehYViy+XF1RV4/Pjf38+eBYKCmCiVFaW+KCUAvH//Hrq6ukWuHxwcjL59+6JSpUpwcHCAmZkZYmJi8OjRI7x+/RoAMHjwYCxYsEBWJzU1FV999RWmT58Oe3t7WFtbIz09Hc+ePcOjR48AAI0bN4a3t3fx3hwRlSsvXryAm5sbAgICAACzZs3CkiVLFLbwLhVPac4p+niorU0bDr2VJcVOlrKSkywJCQk5jmVJT0/Hn3/+iQsXLqBWrVpFbrNJkyaYOnUq7t27hydPnuDGjRsQQsDMzAz9+/fHyJEj0a1bt2x19PX1MX/+fFmdP//8Ex8+fEClSpXQoUMHDBgwAB4eHuwuJyK5HTp0CF9++aVsBwEvL68cnz2kXFlzivr3z0yMPk6YOKeI5FXspQM0NDQg+f+/OCGE7Of8CCGwfPlyzJo1qzhNqwwuHUBUvnz48AHTpk3Dli1bAADOzs7Yv38/LC0tlRwZ5cXHB5g8ObOHKYuVVWaipKihssREwNAw8+eEBMDAQDHXpZJTaksHWFtbyxKk169fQ19fP8891rS1tWFpaYl+/fph/PjxxW2aiKjUPX36FG5ubvjjjz8gkUjw7bffYsGCBaWyhhwVnasr0KEDYGKS+fvZs0CnTuxRIvkU+//u4OBg2c8aGhoYMGAAduzYUdzLEhGpnL179+J///sfEhMT8cknn2Dv3r3o2LGjssMiOXFOERWVQv8ptHPnTtSuXVuRlyQiUrqkpCRMmjRJ9g9BFxcX7Nu3DxbFfYSKyhQDg9wnkZP6U2iy5O7ursjLEREp3ePHjzFgwAA8fvwYEokECxYswLx586DJbgmicqNEBtnDw8Nx4sQJPH36FHFxcbmuvSSRSODp6VkSzRMRFZsQArt27cLEiRPx4cMHmJubY//+/SW6oC4RqSaFJ0sbNmzAzJkzkZaWJjuWlSz996k5JktEpIoSEhIwYcIE7NmzBwDQsWNH7N27F5988omSIyMiZVDoCt6XL1/GlClToKurizlz5uDzzz8HAGzZsgXTp0+Hra0tAGDq1KmcBE5EKumPP/5A8+bNsWfPHmhoaOCHH37AuXPnmCgRlWPFXmfpY7169cKZM2fg5+eHli1bYuTIkfDy8oJUKgUApKSkYPz48fDx8YG/vz9q1qypqKaViussEak/IQS2bduGKVOmIDk5GdWrV8eBAwfgzO3iicoseb+/FdqzdOfOHTg4OKBly5a5ntfR0cHmzZuhq6uLRYsWKbJpIqIii4uLw5AhQzBu3DgkJyeja9euCAwMZKJERAAUnCy9f/8+2zYmWXsjffjwQXZMR0cHzs7OuHz5siKbJiIqkoCAADRt2hQHDx6EpqYmVq5cidOnT+e5uC4RlT8KTZYqV66MxMRE2e+VKlUCkHP/OKlUiqioKEU2TURUKEII/Pzzz2jVqhVevHgBa2trXLt2DTNnzoSGhkI/GolIzSn0E8Ha2hohISGy3xs1agQhBE6fPi07lpCQgGvXrnEPJSJSmpiYGLi5ueGrr75CamoqevXqhYCAANlDKUREH1Po0gFt27bFmjVr8PbtW5iZmaF79+4wMDDAN998g3/++QfW1tbYvXs3oqOjMWjQIEU2TUQkl7t372LgwIEICgqClpYWVq5ciSlTpsi1CTgRlU8KTZYGDBiAgIAABAYGonPnzqhcuTJWr16N//3vf1i9ejWAzK5vW1tbfP/994psmogoX0IIrFu3DrNmzUJaWhpq1KiBQ4cOoXnz5soOjYhUnEKXDsiLv78/Dh8+jOjoaDRo0AAjR46ESdbWz2UAlw4gUm3R0dEYNWoUTpw4AQDo168ftm/fjooVKyo3MCJSKnm/v0tku5P/cnBwgIODQ2k0RUSUza1btzBw4EC8fv0a2traWL16NSZMmMBhNyKSm0IneL9+/TrbBG8iImXJyMjAjz/+CGdnZ7x+/Rq1atXCzZs3MXHiRCZKRFQoCk2WbG1tOXGbiJQuMjISPXv2xKxZs5Ceno6BAwfC39+fPdxEVCQKTZaMjY1Ro0YNRV6SiKhQrl27Bjs7O5w9exY6OjrYsmULDhw4wPmERFRkCk2WPv30Uw7DEZFSZGRkYOnSpXBxccGbN29Qr1493LlzB2PHjuWwGxEVi0KTpS+//BI3btzA3bt3FXlZIqJ8vXv3Dl27dsW3334LqVSK4cOH4969e/jss8+UHRoRlQEKTZZGjhyJCRMmoFOnTli6dCmePn2KlJQURTZBRJTN1atXYWdnhwsXLkBPTw87duzA7t27YWhoqOzQiKiMUOg6S5qamvI3LJEgPT1dUU0rFddZIip9UqkUS5YswaJFi5CRkYFPP/0U3t7eaNiwobJDIyI1oZR1lgqTd5XCWphEVEb9888/GDp0KH777TcAwKhRo7Bhwwbo6+srOTIiKosUmixlZGQo8nJERDlcunQJQ4cOxbt372BgYIDNmzdj+PDhyg6LiMowhc5ZIiIqKenp6Zg3bx46deqEd+/eoXHjxrh37x4TJSIqcSW23cnjx4/h5+eHiIgINGzYEL169QKQ2fuUnp4ObW3tkmqaiMqYN2/eYMiQIfD19QUAjBs3DmvWrIGenp6SIyOi8kDhPUshISHo0KEDGjdujHHjxmHevHk4fvy47Py2bdugp6eHy5cvK7ppIiqDfv31V9jZ2cHX1xdGRkY4cOAAfvnlFyZKRFRqFJosRUdHo23btvjtt9/QsGFDjB8/PsdEbjc3N2hoaODkyZOKbJqIypi0tDTMnj0b3bp1Q2RkJOzt7XH//n1uqUREpU6hydKKFSsQHByMGTNm4MGDB9i4cWOOMpUqVULjxo1x/fp1RTZNRGXI69ev0a5dO6xcuRIAMHHiRPj5+aFOnTpKjoyIyiOFJksnTpyAra0tli9fnu/2AjVr1kRYWJgimyaiMuLUqVOws7ODn58fTExMcOTIEWzcuBG6urrKDo2IyimFJkuvXr2Cg4MDNDTyv6y2tjaio6MV2TQRqbnU1FRMnz4dvXr1wvv379G8eXP4+/ujX79+yg6NiMo5hT4Np6uri/j4+ALLvX79GiYmJopsmojUWFBQEAYNGoQ7d+4AAKZOnYoVK1bwqVkiUgkK7VmqX78+/P39kZiYmGeZyMhIPHjwgBtcEhEAwMfHB/b29rhz5w4qVaqEEydOYM2aNUyUiEhlKDRZ6t+/P6KiovD111/nuZr3zJkzkZSUhIEDByqyaSJSMykpKZg0aRL69euH2NhYtGrVCgEBAbI12YiIVIVCk6WJEyeiUaNG2L59O1q0aIGlS5cCAF6+fInVq1fj888/h5eXF+zs7ODh4aHIpolIjbx48QKtW7eWPTE7a9Ys+Pr6wsbGRsmRERHlJBEK3tE2PDwcAwYMgJ+fHyQSCYQQsifjhBBo3rw5jh8/DgsLC0U2q1Ty7lpMRIC3tzfGjBmD+Ph4VKlSBV5eXujWrZuywyKickje72+Fb3diYWGB69ev4/z58zhz5gz+/vtvZGRkwMrKCl27dkXv3r3zXVaAiMqmDx8+YNq0adiyZQsAwMnJCQcOHIClpaWSIyMiyp/Ce5bKI/YsEeXv6dOncHNzwx9//AGJRIK5c+fi+++/R4UKJbY9JRFRgeT9/lbonCVfX188e/aswHLPnz+XbYhJRGXbvn370LRpU/zxxx+oWrUqzp07hx9++IGJEhGpDYUmS+3atcOKFSsKLLdy5Uq4uLgosmkiUjFJSUkYM2YMhg0bhsTERLi4uODBgwfo1KmTskMjIioUhSZLAHJsnEtE5c/jx4/RokULeHp6QiKRYMGCBbh48WKZerCDiMoPpfSDv3//nvs8EZVRu3btwsSJE5GUlARzc3Ps27cPX3zxhbLDIiIqsmInS69fv872e0JCQo5jWdLT0/Hnn3/iwoULqFWrVnGbJiIVkpCQgIkTJ8LLywsA0LFjR+zZswdmZmZKjoyIqHiKnSzZ2tpmWwrg6NGjOHr0aL51hBAYNmxYcZsmIhXx8OFDuLm54cmTJ9DQ0MCiRYswd+7cAjfVJiJSB8VOlqytrWXJ0uvXr6Gvrw9TU9Ncy2pra8PS0hL9+vXD+PHji9s0ESmZEALbt2/H5MmTkZycjGrVquHAgQNo06aNskMjIlKYYidLwcHBsp81NDQwYMAA7Nixo7iXJSIVFx8fj3HjxuHAgQMAgK5du2L37t2oWrWqkiMjIlIshfaR79y5E6NHj1bkJfPk4eEBiUSS7ys5OTnXuvfv38eAAQNgZmYGXV1d1KhRA5MmTcK7d+9KJXYidRcQEAAHBwccOHAAmpqaWLFiBU6fPs1EiYjKJIU+Defu7q7Iy8nF0dERtWvXzvWcpqZmjmNHjhzB4MGDkZ6ejubNm6NGjRq4d+8eNm7ciMOHD+P69et5Xo+ovBNCYPPmzZg2bRpSU1NhZWWFgwcPonXr1soOjYioxBQrWcp66q169erQ1NTM8ym4vFhbWxeneQDAmDFj4OHhIVfZsLAwuLu7Iz09HVu2bMHYsWMBAFKpFB4eHti7dy+GDBmC27dvc/86ov+IjY3FmDFjcOTIEQBAr169sHPnTlSuXFnJkRERlaxiJUu2trbQ0NDA48ePUbdu3RxPxuVHIpEgPT29OM0X2tq1a5GUlIQOHTrIEiUgswdq8+bNOHXqFO7evYsLFy6gc+fOpRobkSq7d+8e3NzcEBQUBC0tLaxYsQJTp07lPyqIqFwoVrKU9SSclpZWtt9V1bFjxwAAQ4YMyXHO0NAQvXr1wp49e+Dj48NkiQiZw27r16/HzJkzkZaWBltbWxw6dAgtWrRQdmhERKWmWMnSx0/C5fZ7abhy5QoePnyI+Ph4VKlSBS1atEC3bt2go6OTrVx8fDxevHgBAGjWrFmu12rWrBn27NmDgICAEo+bSNW9f/8eo0aNwvHjxwEArq6u8PT0RMWKFZUaFxFRaVP7bb+zVgv+mIWFBXbs2IEuXbrIjn2cyOU1V8rKygoAEBQUpNggidTMrVu3MGjQILx69Qra2tpYtWoVJk6cqNI9x0REJUVtl9dt0qQJ1q1bh0ePHiEuLg5v377FhQsX0Lp1a4SHh6NXr164evWqrHx8fLzsZwMDg1yvaWhoCACIi4vLt+2UlBTExcVlexGVBRkZGfjpp5/g7OyMV69eoVatWrh58ya++uorJkpEVG4p5Gm4oirO03DTpk3L9ruRkRE6duyIDh06oG/fvjhx4gSmTp2KwMDAYsWYm2XLluH7779X+HWJlCkqKgru7u44c+YMAGDgwIHYunUrjI2NlRxZyUhMBP7/30dISADy+DcUEREkQghR1MoaGhpF/tdmST4N9+DBA9jZ2QHITOisrKzw8OFDfPbZZwCAmJgYmJiY5Kh37NgxuLq6wtTUFBEREXlePyUlBSkpKbLf4+LiYGVlhdjY2DL7xUJl2/Xr1zF48GCEhoZCR0cH69atw9ixY8t0bxKTJSKKi4uDiYlJgd/fCnkaTtU0aNBA9nNoaCisrKxgY2MjO/b69Ws0btw4R72QkBAAmUsi5EdHRyfHBHIidZSRkYEVK1Zg/vz5kEqlqFu3Lry9vdGkSRNlh0ZEpDIU+jScqoiKipL9bGRkBAAwNjZG7dq18eLFC9y7dy/XZOnevXsAAAcHh9IJlEiJ3r17h+HDh+PChQsAgGHDhmHz5s2yuXtERJRJbSd45+fgwYMAMhOkevXqyY737dsXALB///4cdRISEnDq1CkAmY9IE5VlV69ehZ2dHS5cuAA9PT14enrCy8uLiRIRUS7UMlkKDAzEyZMnc8x5ysjIgKenJ7755hsAwOTJk2ULZgLA1KlToa+vj0uXLmHbtm2y41KpFBMmTEBMTAyaN2+OTp06lc4bISplUqkUixYtQvv27REeHo5PP/0Ud+/exahRo1RySJ2ISBUUa4K3shw/fhx9+/ZFpUqV4ODgADMzM8TExODRo0eyJ/QGDx4MLy8vVKiQfaTx8OHDGDx4MKRSKVq2bAlbW1vcvXsXf//9N8zMzIq0ka68E8SIlOmff/7B0KFD8dtvvwEARo4ciQ0bNuS5lEZZxwneRCTv97da9iw1adIEU6dORcOGDfHkyRP4+Pjg8uXLAID+/fvjzJkz2L9/f45ECQAGDBiA27dvw9XVFX///TeOHTsGqVSKiRMn4sGDB4VOlIjUwaVLl2BnZ4fffvsNBgYG8PLywo4dO8ptogQAUum/P/v6Zv+diOhjatmzpGrYs0SqKj09Hd9//z1++OEHCCHQuHFjeHt7o379+soOTal8fIDJk4E3b/49ZmkJrFsHcMoiUflRpnuWiKhgb968Qfv27bFkyRIIITB27Fjcvn2biZIP0L9/9kQJyPy9f//M80REH2OyRFQGnTt3DnZ2dvD19YWhoSEOHDiALVu2QE9PT9mhKZVUCkyZAuTWn551bOpUDskRUXZMlojKkLS0NMydOxddu3ZFZGQk7Ozs4O/vj0GDBik7NJVw7RoQGpr3eSGAkJDMckREWZSSLAUGBsLX11cZTROVWSEhIWjXrh2WL18OAJg4cSJu3ryJOnXqKDky1REerthyRFQ+FGsF76IaP3487t69W2J7wxGVN6dOnYKHhweio6NhbGwMT09P9O/fX9lhqRwLC8WWI6LyQWnDcHwIj6j4UlNTMX36dPTq1QvR0dFo1qwZAgICmCjlwdk586m3vNbflEgAK6vMckREWThniUhNBQcHw9nZGatXrwaQuUL9jRs3ULNmTSVHpro0NTOXBwByJkxZv69dm1mOiCgLkyUiNXTs2DHY29vjzp07qFixIo4fP441a9ZAW1tb2aGpPFdX4MgRoFq17MctLTOPc50lIvovJktEaiQlJQWTJ0+Gq6srYmJi0KpVKwQGBqJ3797KDk2tuLoCjx//+/vZs0BQEBMlIsodkyUiNfHy5Us4Ojpiw4YNAICZM2fC19cXNjY2So5MPX081NamDYfeiChvSnkajogK5/DhwxgzZgzi4uJQpUoV7N69G927d1d2WERE5UKxkiUvL68i1YuIiChOs0TlRnJyMr7++mts3rwZAODk5IQDBw7A0tJSyZEREZUfxUqWPDw8IMnrGdx8CCGKVI+oPHn27Bnc3Nzw4MEDAMDcuXOxaNEiVKjADmEiotJUrE9da2trJj1EJWDfvn0YN24cEhMTUbVqVezZswedO3dWdlhEROVSsZKl4OBgBYVBRACQlJSEyZMnw9PTEwDQrl077Nu3D9X++5w7FZuBQe4b6hIR/RefhiNSEX/99RdatmwJT09PSCQSLFiwAJcuXWKiRESkZAqZ/PDixQv4+PggODgYOjo6sLOzg5ubG/T09BRxeaIyb/fu3ZgwYQKSkpJgbm6Offv24YsvvlB2WEREBAUkS2vXrsWsWbMglUqzHZ8/fz7Onj2LRo0aFbcJojIrMTEREyZMkD1Z2qFDB+zduxdmZmZKjoyIiLIUaxju+vXrmD59OtLT06Gvrw97e3vUqlULEokEoaGh6NevHzIyMhQVK1GZ8vDhQzRr1gxeXl7Q0NDAkiVLcO7cOSZKREQqpljJ0saNGyGEgLu7O/755x/cu3cPz549g7+/P2rVqoUXL17g3LlzioqVqEwQQmD79u1o0aIFnjx5gmrVquHKlSv49ttvocllpImIVE6xkqWbN2/C0tISW7ZsgYGBgez4Z599hnXr1kEIgVu3bhU7SKKyIj4+HsOGDcOXX36J5ORkdOnSBYGBgWjTpo2yQyMiojwUK1l6+/YtmjVrlutO505OTgCAd+/eFacJojIjMDAQTZs2xf79+6GpqYnly5fjzJkzqFq1qrJDIyKifBRrgndqaioqVqyY6zljY2NZGaLyTAiBX375BdOmTUNKSgqsrKxw8OBBtG7dWtmhERGRHLhvAlEJio2NxZdffonDhw8DAHr27ImdO3eiSpUqSo6MiIjkVexk6cWLF/luqJvf+REjRhS3eSKVde/ePQwcOBB///03KlSogBUrVmDatGncIoiISM1IhCj6gv8aGhpF/uCXSCRIT08vatMqJS4uDiYmJoiNjZUNP1L5JYTAhg0bMGPGDKSlpcHW1haHDh1CixYtlB0aERF9RN7vb26kS6RA79+/x6hRo3D8+HEAQN++fbFjx4485/YREZHq40a6RApy+/ZtDBw4EK9evYK2tjZWrVqFiRMn8h8URERqjhvpEhWTEAKrVq2Ck5MTXr16hVq1asHPzw9fffUVEyUiojKg1JOlqKgorFmzBo0bNy7tpokULioqCr169cKMGTOQnp4ONzc33L9/H02bNlV2aEREpCClsnSAEALnzp2Dp6cnTp8+jbS0tNJolqhE3bhxA4MGDUJoaCh0dHSwdu1ajBs3jr1JRERlTIkmS0FBQdixYwd27dqFsLAwZD145+DgwGUDSG1lZGRg5cqVmDdvHqRSKerWrQtvb280adJE2aEREVEJUHiylJKSgiNHjsDT0xO+vr4QQkAIAYlEglmzZmHEiBH49NNPFd0sUal49+4dRowYgfPnzwMAhg4dis2bN8PIyEjJkRERUUlRWLJ0//59eHp64uDBg4iNjYUQAhUqVEC3bt3wxx9/4NWrV1i+fLmimqMyJjERMDTM/DkhAfhoX2aV8fvvv2Pw4MEIDw+Hnp4eNmzYgFGjRnHYjYiojCtWsvT+/Xvs3bsXnp6eePjwIYDM+Un169fHqFGjMGLECHzyySdwdnbGq1evFBIwUWmTSqVYunQpFi5ciIyMDDRo0ADe3t5o1KiRskMjIqJSUKxkycLCAmlpaRBCwNDQEAMHDsSoUaPw+eefKyo+IqX6559/MGzYMFy+fBkA4OHhgY0bN8JAFbu+iIioRBQrWUpNTYVEIoGlpSX27NmDtm3bKiouIqW7fPkyhg4dirdv30JfXx+bN2/mgwlliDRDimuvryE8PhwWRhZwtnaGpoamssMiIhVUrHWWGjduDCEEQkND8cUXX8DOzg7r169HVFSUouIjKnVSqRTfffcdOnbsiLdv36JRo0a4f/8+E6U8JCYCEknmKzFR2dHIx+cvH9ius4XLbhcM8RkCl90usF1nC5+/fJQdGhGpoGIlSw8ePMCdO3cwduxYGBkZ4Y8//sC0adNQvXp1DBw4EOfPn0cx9uklKnVhYWFo3749Fi9eDCEEvvzyS9y5cwf169dXdmikID5/+aC/d3+ExoVmO/4m7g36e/dnwkREOUiEgrKZDx8+wNvbG56enrh+/XrmxSUSVK9eHR8+fEB0dDSkUqkimlI58u5aTHlThafhzp8/j2HDhiEyMhKGhobYunUrBg8eXPqBqBlV+G8nL2mGFLbrbHMkSlkkkMDS2BJBU4I4JEdUDsj7/a2w7U709PTg7u4OX19fPH36FLNmzYKZmRlCQ0Nlw3KOjo7YunUrYmNjFdUslREf59G+vtl/L2np6emYO3cuunTpgsjISNjZ2eH+/ftMlMqga6+v5ZkoAYCAQEhcCK69vlaKURGRqiuRveHq1KmD5cuXIyQkBMePH0ePHj2goaGBmzdvYvz48bCwsMCgQYNKomlSQz4+wMfrlHbrBtjaZh4vaSEhIWjXrp1sDbAJEybg5s2bqFu3bsk3TqUuPD5coeWIqHwo0Y10NTU10atXL5w8eRIhISH44YcfUKtWLSQnJ+Pw4cMl2TSpCR8foH9/4M2b7MffvMk8XpIJ05kzZ2BnZ4cbN27A2NgY3t7e+Pnnn6Grq1tyjZJSWRhZKLQcEZUPJZosfczc3Bxz587Fs2fPcOXKFQwbNqy0miYVJZUCU6YAuc2ayzo2darih+RSU1MxY8YM9OjRA9HR0WjatCn8/f0xYMAAxTZUTihzCLWwnK2dYWlsCQlyX3VdAgmsjK3gbO1cypERkSortWTpY23btsXu3buV0TSpkGvXgNC8p49ACCAkJLOcogQHB6NNmzZYtWoVAGDKlCm4ceMGatWqpbhGyhFlDqEWhaaGJtZ1WQcAORKmrN/XdlnLyd1ElI1SkiUiAAiXc1qIvOUKcvz4cdjb2+P27duoWLEijh07hrVr10JHR0cxDZQzyhxCLQ7XBq444nYE1Y2rZztuaWyJI25H4NrAVUmREZGqUthGukSFZSHntBB5y+UlJSUFs2bNwvr16wEALVu2xKFDh2BjY1O8C5djBQ2hSiSZQ6i9ewOaKthJ49rAFb3r9eYK3kQkFyZLpDTOzoClZWZPRG5fuhJJ5nnnYkwfefnyJQYOHIj79+8DAGbMmIGlS5dCS0ur6BelQg2htmtXamEViqaGJtrZtlN2GESkBsrUMNysWbMgkUggkUiwZMmSHOcXLlwoO5/X68mTJ0qIvHzS1ATWZU4fgeQ/822zfl+7tug9E4cPH4aDgwPu37+PypUr4/Tp0/jxxx+ZKClAaQ+hEhEpU5npWfLz88OqVasgkUgK3GKlSZMmsLOzy/WciYlJCURHeXF1BY4cASZPzj73xdIyM1FyLcL0keTkZHz99dfYvHkzgMzFUA8cOAArKyvFBE2lNoRKRKQKykSylJSUBA8PD1hYWKB58+Y4fvx4vuX79OmDhQsXlkpsVDBXV6BDByArTz17FujUqWg9Ss+fP4ebmxsCAwMBAHPnzsWiRYtQoUKZ+FNXGaUxhEpEpCrKxDDc3Llz8fz5c2zdupU9Q2rq48SoTZuiJUoHDhyAg4MDAgMDUbVqVZw7dw5Lly5lolQCSnoIlYhIlah9snT16lVs2LABI0aMQLdu3ZQdDilBUlISvvzySwwZMgQJCQlo27YtAgMD0blzZ2WHVqZlDaFWq5b9uKVl5vGiDKESEakitf4nd0JCAkaNGgUzMzOsXbtW7nr+/v6YM2cOoqOjYWJiAnt7e/Ts2RNGRkYlFyyViL/++gtubm549OgRJBIJ5s+fj/nz57M3qZQocgiViEhVqfU3yowZMxAUFIRjx46hUqVKctc7deoUTp06le2YiYkJ1q9fjxEjRhRYPyUlBSkpKbLf4+Li5A+aFGb37t2YMGECkpKSYGZmhn379qF9+/bKDqvcUcQQKhGRKlPbYbgLFy5gy5YtGDRoEPr06SNXnVq1amHp0qUICAhAdHQ0oqOjcf36dfTo0QOxsbFwd3fHvn37CrzOsmXLYGJiInvxKavSlZiYCA8PD3h4eCApKQnt27dHYGAgEyUiIioRElHQc/YqKDY2Fo0aNUJKSgoeP34MU1NT2TkPDw/s3r0bixcvxrx58+S+5uTJk7FhwwZUrVoVoaGh0NbWzrNsbj1LVlZWiI2NhbGxcdHeFMnl0aNHcHNzw19//QUNDQ18//33mDt3LjTZnaE0iYmAoWHmzwkJgIGBcuMhIpJXXFwcTExMCvz+VsuepalTpyI0NBQbN27MligVx8KFC6GpqYmIiAjcvn0737I6OjowNjbO9qKSJYSAp6cnmjdvjr/++gvVqlXDb7/9hnnz5jFRIiKiEqWWPUsVK1ZEYmIiHB0dc5x78uQJ3r59C1tbW9jY2MDc3BwHDx6U67rVqlVDeHg49u/fj8GDB8sdj7yZKRVNfHw8xo8fLxsi7dKlC7y8vFC1alUlR0YAe5aISH3J+/2tthO809PT8fvvv+d5Pjg4GMHBwXJvliqVShEbGwsAfCpOhTx48ABubm549uwZNDU18cMPP2DmzJnQ0FDLTlEiIlJDavmNExMTAyFEri93d3cAwOLFiyGEQHBwsFzXPHnyJJKSkiCRSNCsWbMSjJ7kIYTAL7/8gpYtW+LZs2ewtLTE77//jtmzZzNRUjEGBpmreAvBXiUiKpvKzbfO69evsXfvXiQnJ+c4d/z4cYwZMwYAMHToUJibm5d2ePSR2NhYDBo0COPHj0dKSgp69OiBwMDAXIddiYiISpraDsMVVnR0NIYPH47x48fD3t4e1atXx4cPH/D48WM8f/4cAODi4iLbfJWU4/79+3Bzc8Pff/+NChUqYMWKFZg2bRok/91Tg4iIqJSUm2TJysoKs2fPxt27d/HixQv4+/sjNTUVpqam6NGjB4YMGYKBAwdyiEdJhBDYuHEjZsyYgdTUVNjY2ODQoUNo2bKlskMjIqJyTi2fhlM1fBqueN6/f4/Ro0fj2LFjAIA+ffpgx44dhVqVnYiIqLDK9DpLVHbcvn0bDg4OOHbsGLS1tbF+/Xr4+PgwUSIiIpVRbobhSLUIIbBmzRrMnj0b6enpqFmzJry9vdG0aVNlh0ZERJQNkyUqdVFRUfDw8MDp06cBAAMGDMC2bdtgkrV1PRERkQrhMByVKj8/P9jb2+P06dPQ0dHB5s2bcejQISZKRESkspgsUanIyMjAihUr0KZNG4SEhKBOnTq4desW/ve//3FZACIiUmkchqMSFxERgREjRuDcuXMAgCFDhuCXX37htjJERKQWmCxRifL19cXgwYMRFhYGXV1dbNy4EaNGjWJvEhERqQ0Ow1GJkEqlWLJkCVxcXBAWFob69evj7t27GD16NBMlIiJSK+xZIoV7+/Ythg4disuXLwMA3N3d8fPPP8OAu6wSEZEaYrJECnX58mUMHToUb9++hb6+PjZt2gR3d3dlh0VERFRkHIYjhZBKpViwYAE6duyIt2/folGjRrh37x4TJSIiUnvsWaJiCwsLw9ChQ3H16lUAwJgxY7Bu3Tro6+srNzAiIiIFYLJExXL+/HkMHz4cERERMDQ0xJYtWzBkyBBlh0VERKQwHIajIklPT8c333yDLl26ICIiAk2aNMH9+/eZKBERUZnDniUqtNDQUAwePBjXr18HAIwfPx6rV6+Grq6ukiMjIiJSPCZLVChnzpyBu7s7oqKiYGxsjG3btsHNzU3ZYREREZUYDsORXNLS0jBz5kz06NEDUVFRaNq0Kfz9/ZkoERFRmceeJSrQq1evMHDgQNy+fRsAMHnyZKxcuRI6OjpKjoyIiKjkMVmifB0/fhwjR45ETEwMKlasiJ07d6JPnz7KDouIiKjUcBiOcpWamoqpU6eib9++iImJQcuWLREQEMBEiYiIyh0mS5TD33//DUdHR6xbtw4AMH36dPj6+sLW1la5gRERESkBh+EomyNHjmD06NGIi4tD5cqVsXv3bvTo0UPZYRERESkNe5YIAJCcnIyJEydiwIABiIuLg6OjIwIDA5koERFRuceeJcLz58/h5uaGwMBAAMCcOXOwaNEiaGlplVoM0gwprr2+hvD4cFgYWcDZ2hmaGpql1j4REVFemCyVcwcOHMDYsWORkJAAU1NT7NmzB126dCnVGHz+8sGUc1MQGhcqO2ZpbIl1XdbBtYFrqcZCRET0XxyGK6c+fPiAsWPHYsiQIUhISECbNm0QGBiolESpv3f/bIkSALyJe4P+3v3h85dPqcZDRET0X0yWyqEnT56gZcuW2LZtGyQSCebPn4/Lly+jevXqpRqHNEOKKeemQEDkOJd1bOq5qZBmSEs1LiIioo8xWSpnvLy80LRpUzx8+BBmZma4cOECFi1ahAoVSn9E9trrazl6lD4mIBASF4Jrr6+VYlRERETZMVkqJxITEzFy5Ei4u7sjKSkJ7du3R2BgIDp06KC0mMLjwxVajoiIqCQwWSoH/vzzT7Ro0QK7du2ChoYGFi1ahPPnz8Pc3FypcVkYWSi0HBERUUlgslSGCSHg6emJ5s2b4/Hjx7CwsMBvv/2G+fPnQ1NT+Y/lO1s7w9LYEhJIcj0vgQRWxlZwtnYu5ciIiIj+xWSpjIqPj8fw4cMxZswYfPjwAZ07d0ZgYCDatm2r7NBkNDU0sa5L5pYq/02Ysn5f22Ut11siIiKlYrJUBj148ADNmjXDvn37oKmpiWXLluHs2bP45JNPlB1aDq4NXHHE7QiqG2d/Es/S2BJH3I5wnSUiIlI6iRAi53PbVChxcXEwMTFBbGwsjI2NlRaHEAJbt27FlClTkJKSAktLSxw4cABOTk5Ki0leXMGbiIhKm7zf31zBu4yIi4vDl19+CW9vbwBA9+7dsXv3blSpUkXJkclHU0MT7WzbKTsMIiKiHDgMVwb4+/vDwcEB3t7eqFChAn766SecPHlSbRIlIiIiVcaeJTUmhMDGjRsxY8YMpKamwsbGBgcPHkSrVq2UHRoREVGZwWRJTcXExGD06NHw8cncO61Pnz7YsWMHKlWqpOTIiIiIyhYOw6mhO3fuwN7eHj4+PtDS0sK6devg4+PDRImIiKgEMFlSI0IIrF69Go6OjggODkbNmjXh5+eHyZMnQyLJfWFHIiIiKh4Ow6mJ6OhoeHh44NSpUwCA/v37Y/v27TAxMVFyZERERGUbe5bUgJ+fH+zs7HDq1Cno6Ohg06ZN8Pb2ZqJERERUCpgsqbCMjAysXLkSbdq0QUhICOrUqYNbt25h/PjxHHYjIiIqJRyGU1HR0dEYNmwYfv31VwDA4MGDsWXLFhgZGSk5MiIiovKFPUsqSktLCy9fvoSuri62bduGffv2MVEiIiJSAvYsqSgjIyMcOXIEANC4cWMlR0NERFR+MVlSYUySiIiIlK9MDcPNmjULEokEEokES5YsybPcpUuX0K1bN5iamkJPTw/169fHt99+i4SEhFKMloiIiNRBmUmW/Pz8sGrVqgKfEluzZg06duyIc+fOoWHDhujZsydiY2OxdOlSNGvWDJGRkaUUMREREamDMpEsJSUlwcPDAxYWFujdu3ee5QICAjB9+nRoamrizJkz+P333+Ht7Y2XL1+iffv2ePr0Kf73v/+VYuRERESk6spEsjR37lw8f/4cW7duzXehxmXLlkEIgZEjR6Jr166y4/r6+vD09ISGhgaOHj2KJ0+elEbYREREpAbUPlm6evUqNmzYgBEjRqBbt255lktNTcWZM2cAAEOGDMlx3sbGBo6OjgCAY8eOlUywREREpHbUOllKSEjAqFGjYGZmhrVr1+Zb9tmzZ0hKSgIANGvWLNcyWccDAgIUGicRERGpL7VeOmDGjBkICgrCsWPHUKlSpXzLBgUFAQAqVqyY5+KOVlZW2coSERERqW2ydOHCBWzZsgWDBg1Cnz59CiwfHx8PADAwMMizjKGhIQAgLi4u32ulpKQgJSVF9ntB5YmIiEh9qeUwXGxsLEaPHo2qVatiw4YNpd7+smXLYGJiIntl9UgRERFR2aOWydLUqVMRGhqKjRs3wtTUVK46WUNviYmJeZbJWpTS2Ng432vNnTsXsbGxsldISIickRMREZG6UcthuGPHjqFChQrYtGkTNm3alO1c1mP/np6euHTpEszNzXHw4EHY2toCAGJiYhAfH5/rvKWspCerbF50dHSgo6NT/DdCREREKk8tkyUASE9Px++//57n+eDgYAQHB8PGxgYAUK9ePejr6yMpKQn37t2Di4tLjjr37t0DADg4OJRM0ERERKR21HIYLiYmBkKIXF/u7u4AgMWLF0MIgeDgYACAtrY2unfvDgDYv39/jmu+evUKfn5+AIC+ffuWzhshIiIilae2PUtFMWfOHBw5cgQ7d+5Ev3790KVLFwCZ26WMHj0aUqkU/fr1Q/369Qt1XSEEAD4VR0REpE6yvrezvsfzUq6SJQcHB6xatQpff/01unXrhrZt2+KTTz7BtWvXEB4ejnr16uGXX34p9HWzliXgU3FERETqJz4+Pt/t0spVsgQA06ZNQ+PGjbFq1SrcuXMHiYmJsLa2xty5czF37tw8F6zMT7Vq1RASEgIjIyNIJJIc5+Pi4mBlZYWQkJACn7Qj+fG+lhze25LB+1pyeG9LRlm/r0IIxMfHo1q1avmWk4iC+p6o2OLi4mBiYoLY2Ngy+cemLLyvJYf3tmTwvpYc3tuSwfuaSS0neBMRERGVFiZLRERERPlgslQKdHR0sGDBAi5kqWC8ryWH97Zk8L6WHN7bksH7molzloiIiIjywZ4lIiIionwwWSIiIiLKB5MlIiIionwwWVKgWbNmQSKRQCKRYMmSJXmWu3TpErp16wZTU1Po6emhfv36+Pbbb5GQkFCK0aqPgu7rwoULZefzej158kQJkasWDw+PAu9TcnJyrnXv37+PAQMGwMzMDLq6uqhRowYmTZqEd+/elfK7UE1Fube7du0qsM65c+eU9I5US2pqKtavXw8nJydUrlwZurq6sLS0RNeuXXHo0KFc6/BzVj6Fubfl+bO23K3gXVL8/PywatUqSCSSfPeYWbNmDb7++mtIJBI4OzvDzMwM165dw9KlS3H06FFcv34dpqampRi5apP3vgJAkyZNYGdnl+u5/JaxL28cHR1Ru3btXM9pamrmOHbkyBEMHjwY6enpaN68OWrUqIF79+5h48aNOHz4MK5fv57n9cqbwt5bAKhVqxacnJxyPVe9enWFxaauQkND0blzZzx+/BimpqZwdHSEgYEBQkJC4OvrCwMDAwwcODBbHX7Oyqco9xYop5+1gootMTFR1KlTR1SvXl306dNHABCLFy/OUc7f319IJBKhqakpzp49m61++/btBQDRr1+/0gxdpcl7XxcsWCAAiAULFpR+kGrE3d1dABA7d+6Uu86bN2+Evr6+ACC2bNkiO56eni6GDRsmAIjmzZuLjIyMEohYfRTl3u7cuVMAEO7u7iUWl7pLSkoS9evXFwDEwoULRWpqarbziYmJIiAgINsxfs7Kpyj3tjx/1nIYTgHmzp2L58+fY+vWrflm1cuWLYMQAiNHjkTXrl1lx/X19eHp6QkNDQ0cPXq0zHZjFpa895VKztq1a5GUlIQOHTpg7NixsuOamprYvHkzTExMcPfuXVy4cEGJUVJZtWzZMjx58gRjx47FggULoKWlle28vr5+jh4Ofs7Kpyj3tjxjslRMV69exYYNGzBixAh069Ytz3Kpqak4c+YMAGDIkCE5ztvY2MDR0REAcOzYsZIJVo3Ie1+pZGX9Leb2N2toaIhevXoBAHx8fEo1Lir70tLSsHnzZgDAzJkz5arDz1n5FOXelnecs1QMCQkJGDVqFMzMzLB27dp8yz579gxJSUkAgGbNmuVaplmzZrh27RoCAgIUHapaKcx9/Zi/vz/mzJmD6OhomJiYwN7eHj179oSRkVHJBauGrly5gocPHyI+Ph5VqlRBixYt0K1btxwr9MbHx+PFixcA8v+b3bNnT7n/m80i77392IsXLzBv3jy8e/cOhoaGaNSoEXr16lXu59T4+/sjMjIS1apVQ+3atfHw4UP4+PggLCwMlSpVgrOzM7p27QoNjX//zc/PWfkU5d7+t355+6xlslQMM2bMQFBQEI4dO4ZKlSrlWzYoKAgAULFixTz/oKysrLKVLa8Kc18/durUKZw6dSrbMRMTE6xfvx4jRoxQdJhqy8vLK8cxCwsL7NixA126dJEdCw4Olv1sbW2d67X4N5udvPf2Yzdu3MCNGzeyHdPV1cXChQsxe/bsEolTHfzxxx8AAEtLS8yZMwcrV67M9pDHihUrYG9vj+PHj8v+Pvk5K5+i3NuPlcfPWg7DFdGFCxewZcsWDBo0CH369CmwfHx8PADAwMAgzzKGhoYAgLi4OIXEqI4Ke1+BzKeJli5dioCAAERHRyM6OhrXr19Hjx49EBsbC3d3d+zbt69kA1cDTZo0wbp16/Do0SPExcXh7du3uHDhAlq3bo3w8HD06tULV69elZXP+psF8v675d9spsLeWwAwNzfHt99+i9u3byMiIgJxcXG4e/cuRowYgZSUFMyZMwdLly5VzhtSAVFRUQCAgIAArFixAhMmTMDTp08RGxuLixcvom7duggICED37t2RlpYGgJ+z8irKvQXK+WetcueXq6eYmBhhaWkpqlatKiIiIrKdy3oq5r9Pbe3bt08AENWrV8/zulu3bhUARN26dUskblVXlPtakEmTJgkAomrVqiIlJUWR4ZYZGRkZonfv3gKAaNKkiez4jRs3BAABQKSlpeVa98KFCwKA0NbWLqVo1Ute97Ygq1atEgCEjo6O+Oeff0ouQBW2dOlS2d/f4MGDc5x/9eqV0NXVFQCEl5eXEIKfs/Iqyr0tSFn/rGXPUhFMnToVoaGh2Lhxo9zzCrK6hBMTE/Msk7VYmrGxcfGDVENFua8FWbhwITQ1NREREYHbt28r5JpljUQiwffffw8AePDgAUJCQgAg2zBGXn+35f1vtiB53duCTJkyBaampkhJSSm3Txp+/Pc3bty4HOetra3RvXt3AJkLUH5ch5+z+SvKvS1IWf+s5ZylIjh27BgqVKiATZs2YdOmTdnOZT2O6unpiUuXLsHc3BwHDx6Era0tACAmJgbx8fG5jqdnfZBmlS1vinJfC1K5cmV88sknCA8PR2hoaInEXRY0aNBA9nNoaCisrKxgY2MjO/b69Ws0btw4R73y/jcrj9zubUE0NTVRp04dREZGltu/25o1a+b6c25lwsPDAYCfs3Iqyr0tSFn/rGWyVETp6en4/fff8zwfHByM4OBg2RdOvXr1oK+vj6SkJNy7dw8uLi456ty7dw8A4ODgUDJBq4HC3teCSKVSxMbGAkCZflKjuLLmMAD/3idjY2PUrl0bL168wL1793JNlvg3W7Dc7m1h6pXXv1sHBwfZyv2RkZG5JpmRkZEA/p2HxM9Z+RTl3hakrH/WchiuCGJiYiCEyPXl7u4OAFi8eDGEELInirS1tWXdmvv3789xzVevXsHPzw8A0Ldv39J5IyqmKPe1ICdPnkRSUhIkEkmejxITZL10xsbGqFevnux41t9ibn+zCQkJsidiXF1dSyFK9ZTXvc2Pv78/nj17BgBo0aJFicWmyszNzWXbwOQ2FJSWlib7h1XWPeLnrHyKcm8LUuY/a0t/mlTZlt9E5Pv378uW4f/1119lx7kMf8Hyuq+vXr0Se/bsER8+fMhR59ixY6Jy5coCgBg2bFhphaqSAgICxIkTJ3JM1JZKpWL79u2yyZzz5s3Ldv7j7U62bt0qO56eni6GDx/O7U5E0e5tYmKi2Lhxo4iLi8txvd9//13Y2toKAMLJyanE41dlly5dEgBEpUqVxM2bN2XH09LSZBOKjYyMsk2C5+esfAp7b8v7Zy2TJQUr6Kmt1atXCwBCIpGIdu3aCTc3N2FhYSEAiHr16uV4Cowy5XVfAwICBABhaGgonJ2dxaBBg0Tv3r1FnTp1ZE97uLi4iPj4eCVFrhqOHTsm+2Bs3769GDJkiOjWrZuwtrbO9lRMbk+9eXt7C01NTQFAtGzZUgwcOFDUrFlTABBmZmbi+fPnSnhHqqMo9/b9+/eyp91atWol3NzchKurq2jUqJGsTuPGjUVYWJgS35lqWLx4sQAgKlSoIFq3bi1cXV1lyaSenp44ffp0jjr8nJVPYe5tef+sZbKkYPI84n7x4kXRpUsXUblyZaGjoyPq1Kkj5s6dm+u/MilTXvc1MjJSzJ49W3zxxRfC2tpaGBgYCC0tLWFhYSF69Ogh9u/fL6RSqZKiVh1///23mDp1qnBychLVq1cXurq6QkdHR1hbW4v+/fuLM2fO5Fv/3r17wtXVVVStWlVoa2sLGxsbMXHixHL7WPvHinJvU1JSxPz580XXrl1FjRo1hJGRkahQoYKoWrWq6NChg9iyZUuZfPy6qM6fPy+6du0qKleuLLS0tISVlZXw8PAQf/31V551+DkrH3nvbXn/rJUI8dGynURERESUDSd4ExEREeWDyRIRERFRPpgsEREREeWDyRIRERFRPpgsEREREeWDyRIRERFRPpgsEREREeWDyRIRERFRPpgsEREREeWDyRIRERFRPpgsEREREeWDyRIRERXbb7/9BgcHBxgaGuLzzz+Hn59fvuWPHDmCvn37wtraGvr6+mjYsCFWrVqFtLS0UoqYSH7cSJeIiIrl6dOnsLOzg5WVFezt7XHt2jUkJibizz//hKWlZa51WrVqBVtbW/Tp0wdmZmbw8/PDkiVL4Obmht27d5fyOyDKXwVlB0BEROrt2LFjqFy5Mh4+fAgdHR1ERESgevXquHLlCoYPH55rnVOnTqFq1aqy311cXCCEwPz587Fy5UqYmZmVVvhEBeIwHBERFUuFChXw/v17+Pn5ITk5GZcuXUJaWhpsbGzyrPNxopSladOmAICwsLASi5WoKJgsEam4Jk2aQCKRQEdHB1FRUfmWtbW1hUQiyfbS0dGBtbU1Bg4ciGvXruVZZ9euXSX0DlRf1j0IDg6W67g6Kex7CA4OzvE3tGTJknzrDB06FIaGhvjiiy+gp6eHYcOG4ZtvvkGbNm0KFauvry+0tbVRq1atbMfr16+fLZ527doV6rpExcVkiUiF3b17F3/88QcAIDU1FXv37pWrnqOjI9zd3eHu7o6uXbsiIyMD3t7eaNu2LVavXl2SIVMu1DHpMjAwkP0NNWnSJN+yFhYWGDJkiOx3HR0dLFq0qFDtPX78GOvWrcPYsWNhbGyc7Vzfvn3h7u6Ozp07F+qaRIrCOUtEKszT0xMAUL16dbx58waenp6YMmVKgfXGjBkDDw8P2e/JyckYN24cvLy8MGvWLPTo0QN169YtqbDLjMuXLyMtLQ3Vq1dXdiilztTUVO7exqdPn2Lz5s0wMzNDVFQUPnz4gGfPnqFBgwZy1Y+MjESfPn1Qu3ZtLF++PMf5ZcuWAQCuXr2K8+fPy/0eiBSFPUtEKiopKQkHDhwAAOzZsweGhoZ4+PAh7t69W+hr6erq4ueff4aBgQGkUil8fHwUHW6ZVKtWLdSvXx9aWlrKDkWlTZ48GampqVi2bJksCQ8MDJSrbnx8PLp27YrU1FScO3cOBgYGJRgpUdEwWSJSUYcPH0ZcXBwaNWoEFxcXDBw4EMC/vU2FZWhoiHr16gFAiQ4HZc0rAYBt27ahadOmMDAwQMWKFdGtWzfcunWrwHo7d+7E559/DhMTkxzDVx8+fMCqVavQqlUrVKxYEbq6uqhXrx5mzZqV75yux48fY8CAATA1NYWenh4aNWqEn376CVKpNM86+Q2fJSUlYe3atXByckKlSpWgo6MDGxsb9OzZE/v37wcA7Nq1CxKJBK9evQIA1KhRI9vcm6tXr2a7Zmm+N0Xx8fHBhQsX0KJFC3h4eMiG7ORJllJSUtC7d28EBwfj/PnzqFatWglHS1REgohUkrOzswAgVq9eLYQQ4saNGwKAMDExEUlJSbnWsbGxEQDEzp07cz1fu3ZtAUBMnjxZ7jqFBUAAENOmTRMSiUQ4OTmJwYMHi0aNGgkAokKFCsLHxyfPel999ZXQ0NCQ1WvZsqUIDg4WQgjx5s0b0bhxYwFAVK5cWXTo0EH07dtX9h5sbW1lZT927do1YWBgIACImjVrikGDBokOHToILS0t0a9fP1n9oKCgbPXyOv769Wvx6aefCgBCX19fdOzYUQwaNEg4OzsLExMTYWNjI2vX3d1d1na/fv2Eu7u77PXXX3/Jrlna7y0vQUFBAoDsPeQnMTFRWFtbC4lEIm7fvi2EEGLZsmUCgOjUqVO+ddPT00WfPn2EoaGhuHPnjlyxXblyRQAQbdu2las8kaIwWSJSQU+fPhUAhJaWlnj37p3seP369QUA4eXllWu9/BKfBw8eCA0NDQFA7NixQ646RZGV9Ojp6YnLly9nO7dy5UpZwvf27dtc6xkbG4ubN2/muG5GRoZwdHQUAMTo0aNFXFyc7FxaWpqYPn26ACBcXFyy1fvw4YOwsrISAMTUqVNFenq67NyDBw+EqamprG15kiWpVCqaNWsmSwg+/u+T1d6ZM2cKvI6y31teCpMsffvttwKA8PDwkB07e/asACDMzMzyrTtu3DgBQCxevFjcvHkz2ys2NjbXOkyWSFmYLBGpoNmzZ8t6Ij6WlWzk9WWRW+ITExMjzpw5I2rVqiUAiGrVqomEhIR86xRH1pfz1KlTcz2flWj88MMPudZbtGhRrvV+/fVXAUDY2dmJtLS0HOelUqms9+rhw4ey43v37hUAhJWVlUhNTc1Rb82aNYVKlo4fPy4ACAsLCxEfH5/XbSjwOsp+b3mRN1l6/vy50NHREcbGxuKff/6RHQ8NDZW1GRYWlmf9rHuS2+vKlSu51mGyRMrCOUtEKiY9PV223cOoUaOynRsxYgQqVKgAX19fvHz5Ms9rjBw5UjYvpmLFiujevTtevnyJWrVq4ezZs6Uyidbd3T3X4yNGjACAHPN1svTv3z/X42fOnAEA9OvXDxUq5HyQV0NDQ7auz8f7kmW14+bmlutE7bzizMu5c+cAAEOGDIGhoWGh6uZFVd5bYUyePBkpKSn47rvvsq22Xb16dVSpUgVA/vOWgoODITL/wZ7jxXWUSNUwWSJSMWfOnME///yD6tWr51hXxszMDN26dYMQAjt27MjzGh+vs/Tll1/i22+/xalTp/DkyZMC18xRlBo1auR7PDQ0NNfztra2uR7/+++/AQDz58/PsWhi1mvTpk0AgIiICFm9rHbyiqdSpUowMTEp+A39v6zJ2vXr15e7TkFU5b3J68SJE/j1119Rr149TJ48Ocf5zz77DADw4MEDhbdNpAxcZ4lIxWQ97ZacnIy2bdvmOP/mzRsAmU9aLVq0CJqamjnK/HedJVUk8tjDW09PL9fjGRkZAAAnJ6ccKzz/V8OGDYsXXClTp/eWnJyMadOmAch8ItDFxSVHmefPnwOQf/kAIlXHZIlIhYSHh+Ps2bMAgKioKNy4cSPPsmFhYTh37hy6d+9eWuEVSlBQEOzs7HIcz3oMP6/d6PNiZWUFAOjduzdmzJghd72sBSXzWi4hJiYGsbGxcl/P2toaAPDkyRO56xREVd6bPJYvX46goCAAQEhICEJCQvIsy2SJygoOwxGpkF27dkEqlaJly5Z5zucQQmDWrFkAir7mUmnYs2dPvscLOy+la9euADLXn8qrVyo3Wb1z3t7eSEtLy3Hey8urUHF06dIFAHDgwAEkJibKVUdbWxtA5ny03KjKeytIUFAQVqxYAS0tLTx58iTPv8/79+8DyOxhSkpKUmgMRMrAZIlIhWTNQypoYm7WJOnTp09nm8OiSjZv3pxjEveaNWtw584dGBkZYfTo0YW6Xu/evdG8eXPcuXMHI0eOzPV9v3//Hr/88ku2pKR///6oXr06Xr9+jblz58qGvADg0aNHBW4S+1+9evWCvb09wsLCMGDAgByLRSYnJ+PXX3/NdiyrF+3PP/9U6fdWkClTpiA5ORkTJ06ULXCamwYNGkBDQwMZGRmyvQ2J1FopPnlHRPm4evWqACB0dHREdHR0geUdHBwEAPHTTz/JjhVlGYCsOjVr1hQtW7bM83X//n25roePlg6QSCSiTZs2YvDgwbIFFzU1NcXhw4fzrJefN2/eCDs7OwFAGBgYiNatW4tBgwYJV1dXYWdnJzQ1NQUA8eHDh2z1rl69KvT19QUAUatWLTFo0CDRsWNHoaWlJVxdXQu9KGVwcLCoV6+ebFHKTp06icGDB4s2bdpkW5Qyy8aNGwUAYWhoKFxdXcXo0aPF6NGjxZMnT5T23vKS19IBp0+fFgCEqampeP/+fYHXyVqqYvPmzXK1Kw8uHUDKwmSJSEUMHz5cABD9+/eXq/zatWsFANGgQQPZseIkSwW98lr75r8+Tno2b94s7OzshJ6enjA2NhZdunQRN27cKLBefpKTk8Uvv/wiXFxcRJUqVUSFChXEJ598Iuzs7MTEiRPF+fPnc6338OFD4erqKipXrix0dHREgwYNxLJly0RaWlqhkyUhhIiPjxcrVqwQzZs3F0ZGRkJHR0fY2NiIXr16iYMHD2YrK5VKxbJly0TDhg2Frq5unve0NN9bXnJLlpKTk2XJz6ZNm+S6Tq9evQQAMW7cOLnKy4PJEimLRIhCDJATERUga383frSop+DgYNSoUQM2NjYluodgUVy9ehUuLi5o27Ztnut0EZUEPg1HREQ5REZGypaf6NevH3r27Km0WObOnYvw8HD8888/SouByjcmS0RElENiYqJsJfnatWsrNVk6duwYnj59qrT2iTgMR0QKxWE4Iipr2LNERArFJImIyhqus0RERESUDyZLRERERPlgskRERESUDyZLRERERPlgskRERESUDyZLRERERPlgskRERESUDyZLRERERPlgskRERESUDyZLRERERPlgskRERESUj/8D12hUs4qkMpEAAAAASUVORK5CYII=\n", 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\n", 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" ] @@ -2201,103 +2230,103 @@ "name": "stdout", "output_type": "stream", "text": [ - "OVERALL SCORE (MAE, RMSE, r2, Pearson): 2.9929621314744614 3.633252944181276 0.5378497700959821 0.8794482314156292 \n", + "OVERALL SCORE (MAE, RMSE, r2, Pearson): 3.051009277893039 3.717668835518006 0.5774263668646544 0.9033680952148113 \n", "\n", "MODEL NAME: KNeighborsRegressor \n", "\n", "REF: Shahane et al. 2019\n", "bacterial membrane\n", "Number of lipids: 132\n", - "Difference betweer predicted and literature (ML prediction and difference): 57.76082636580979 0.960826365809794\n", + "Difference betweer predicted and literature (ML prediction and difference): 57.76089398247886 0.9608939824788649\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "mammalian membrane\n", - "Difference betweer predicted and literature (ML prediction and difference): 50.62801391589593 8.528013915895926\n", + "Difference betweer predicted and literature (ML prediction and difference): 48.48942670943955 6.389426709439547\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "cancer membrane\n", - "Difference betweer predicted and literature (ML prediction and difference): 52.18722427346104 6.08722427346104\n", + "Difference betweer predicted and literature (ML prediction and difference): 51.949622438274616 5.849622438274615\n", "Sum of fractions (should be 1): 1.01 \n", "\n", "REF: Kumar et al. 2021\n", "M13\n", - "Difference betweer predicted and literature (ML prediction and difference): 52.83666548313446 3.776665483134458\n", + "Difference betweer predicted and literature (ML prediction and difference): 51.949622438274616 2.889622438274614\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M12\n", - "Difference betweer predicted and literature (ML prediction and difference): 57.28926022244938 2.3192602224493797\n", + "Difference betweer predicted and literature (ML prediction and difference): 55.76058704252917 0.7905870425291681\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M11\n", - "Difference betweer predicted and literature (ML prediction and difference): 57.289260222449386 2.669260222449388\n", + "Difference betweer predicted and literature (ML prediction and difference): 55.76058704252917 1.1405870425291695\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M10\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.15485150734488 3.3148515073448763\n", + "Difference betweer predicted and literature (ML prediction and difference): 55.76058704252916 -0.07941295747084354\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M9\n", - "Difference betweer predicted and literature (ML prediction and difference): 49.65091956529301 4.11091956529301\n", + "Difference betweer predicted and literature (ML prediction and difference): 48.93008297208139 3.3900829720813874\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M8\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.496762380359336 3.0267623803593366\n", + "Difference betweer predicted and literature (ML prediction and difference): 57.37586748639149 -1.094132513608507\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M7\n", - "Difference betweer predicted and literature (ML prediction and difference): 50.939328842132994 5.139328842132997\n", + "Difference betweer predicted and literature (ML prediction and difference): 51.71097509542191 5.910975095421911\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M6\n", - "Difference betweer predicted and literature (ML prediction and difference): 55.07817884788782 -1.7218211521121773\n", + "Difference betweer predicted and literature (ML prediction and difference): 54.487233874199426 -2.3127661258005716\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M5\n", - "Difference betweer predicted and literature (ML prediction and difference): 58.041451852543375 -1.658548147456628\n", + "Difference betweer predicted and literature (ML prediction and difference): 55.76058704252917 -3.939412957470836\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M4\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.15485150734488 2.0948515073448775\n", + "Difference betweer predicted and literature (ML prediction and difference): 55.76058704252915 -1.2994129574708495\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M3\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.15485150734488 -0.3651484926551234\n", + "Difference betweer predicted and literature (ML prediction and difference): 60.256970027092066 0.7369700270920632\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M2\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.42751893218792 2.4075189321879193\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.901677404119845 2.8816774041198414\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M1\n", - "Difference betweer predicted and literature (ML prediction and difference): 64.7135574773524 -0.09644252264760667\n", + "Difference betweer predicted and literature (ML prediction and difference): 65.02755392094498 0.2175539209449795\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "REF: Oliveira et al. 2022\n", "M1\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.16381447248998 -1.9361855275100197\n", + "Difference betweer predicted and literature (ML prediction and difference): 60.25697002709206 -1.8430299729079422\n", "Sum of fractions (should be 1): 0.9999999999999999 \n", "\n", "M2\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.16381447248998 -1.8361855275100183\n", + "Difference betweer predicted and literature (ML prediction and difference): 60.256970027092066 -1.7430299729079337\n", "Sum of fractions (should be 1): 0.9999999999999999 \n", "\n", "M3\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.19918383690746 -2.5008161630925443\n", + "Difference betweer predicted and literature (ML prediction and difference): 55.19094764876261 -6.5090523512373935\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M4\n", - "Difference betweer predicted and literature (ML prediction and difference): 58.08628139842659 -3.5137186015734088\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.09675969789481 -3.5032403021051906\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M5\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.16381447248998 -1.0361855275100211\n", + "Difference betweer predicted and literature (ML prediction and difference): 60.25697002709206 -0.9430299729079437\n", "Sum of fractions (should be 1): 1.0 \n", "\n" ] }, { "data": { - "image/png": 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\n", 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" ] @@ -2309,103 +2338,103 @@ "name": "stdout", "output_type": "stream", "text": [ - "OVERALL SCORE (MAE, RMSE, r2, Pearson): 2.8143111847585978 3.407069169448194 0.21735174865431717 0.9254296122487317 \n", + "OVERALL SCORE (MAE, RMSE, r2, Pearson): 2.5916437693844845 3.28990742424059 0.3282768538325791 0.891779546564954 \n", "\n", "MODEL NAME: MLPRegressor \n", "\n", "REF: Shahane et al. 2019\n", "bacterial membrane\n", "Number of lipids: 132\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.53217008322948 3.7321700832294837\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.14088303464135 2.340883034641351\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "mammalian membrane\n", - "Difference betweer predicted and literature (ML prediction and difference): 44.33827474488702 2.238274744887022\n", + "Difference betweer predicted and literature (ML prediction and difference): 45.724516406020065 3.6245164060200636\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "cancer membrane\n", - "Difference betweer predicted and literature (ML prediction and difference): 50.21760985940322 4.117609859403217\n", + "Difference betweer predicted and literature (ML prediction and difference): 51.01634658740438 4.916346587404377\n", "Sum of fractions (should be 1): 1.01 \n", "\n", "REF: Kumar et al. 2021\n", "M13\n", - "Difference betweer predicted and literature (ML prediction and difference): 50.32771031174462 1.2677103117446151\n", + "Difference betweer predicted and literature (ML prediction and difference): 51.054659648312736 1.9946596483127337\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M12\n", - "Difference betweer predicted and literature (ML prediction and difference): 56.17265779047569 1.2026577904756905\n", + "Difference betweer predicted and literature (ML prediction and difference): 54.6438235974956 -0.3261764025044016\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M11\n", - "Difference betweer predicted and literature (ML prediction and difference): 56.470494551528105 1.850494551528108\n", + "Difference betweer predicted and literature (ML prediction and difference): 54.93616477960742 0.3161647796074192\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M10\n", - "Difference betweer predicted and literature (ML prediction and difference): 57.09620676427117 1.2562067642711696\n", + "Difference betweer predicted and literature (ML prediction and difference): 55.52542536136526 -0.31457463863474544\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M9\n", - "Difference betweer predicted and literature (ML prediction and difference): 48.48605955548651 2.9460595554865137\n", + "Difference betweer predicted and literature (ML prediction and difference): 47.81932529333825 2.2793252933382533\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M8\n", - "Difference betweer predicted and literature (ML prediction and difference): 57.57875157553313 -0.8912484244668661\n", + "Difference betweer predicted and literature (ML prediction and difference): 56.930533999919476 -1.5394660000805231\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M7\n", - "Difference betweer predicted and literature (ML prediction and difference): 47.236830077596565 1.436830077596568\n", + "Difference betweer predicted and literature (ML prediction and difference): 46.56295904834987 0.7629590483498703\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M6\n", - "Difference betweer predicted and literature (ML prediction and difference): 58.320939032742956 1.5209390327429588\n", + "Difference betweer predicted and literature (ML prediction and difference): 57.86270980354109 1.0627098035410896\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M5\n", - "Difference betweer predicted and literature (ML prediction and difference): 58.13832301576894 -1.5616769842310632\n", + "Difference betweer predicted and literature (ML prediction and difference): 57.4844038096404 -2.215596190359605\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M4\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.56185552115742 2.5018555211574167\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.15178310371543 1.0917831037154286\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M3\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.24986587750231 1.7298658775023057\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.40542163463552 1.8854216346355201\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M2\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.86634193460431 2.846341934604304\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.826955360235644 2.8069553602356407\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M1\n", - "Difference betweer predicted and literature (ML prediction and difference): 63.36845914066408 -1.4415408593359231\n", + "Difference betweer predicted and literature (ML prediction and difference): 63.74137244530784 -1.0686275546921635\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "REF: Oliveira et al. 2022\n", "M1\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.328434687423915 -0.7715653125760866\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.022326771662826 -1.0776732283371757\n", "Sum of fractions (should be 1): 0.9999999999999999 \n", "\n", "M2\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.095301138755886 -0.904698861244114\n", + "Difference betweer predicted and literature (ML prediction and difference): 60.65280649851983 -1.3471935014801701\n", "Sum of fractions (should be 1): 0.9999999999999999 \n", "\n", "M3\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.58430090961819 -2.11569909038181\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.15616154203475 -3.5438384579652507\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M4\n", - "Difference betweer predicted and literature (ML prediction and difference): 58.02938356915446 -3.57061643084554\n", + "Difference betweer predicted and literature (ML prediction and difference): 57.414049951224655 -4.1859500487753465\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M5\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.546468934344965 0.34646893434496207\n", + "Difference betweer predicted and literature (ML prediction and difference): 61.691676029167326 0.4916760291673228\n", "Sum of fractions (should be 1): 1.0 \n", "\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -2417,103 +2446,103 @@ "name": "stdout", "output_type": "stream", "text": [ - "OVERALL SCORE (MAE, RMSE, r2, Pearson): 1.9166919524788446 2.164985851595305 0.8275576610424344 0.9573543767473872 \n", + "OVERALL SCORE (MAE, RMSE, r2, Pearson): 1.8663093691332595 2.2711827076513162 0.7931643760082008 0.9472616969208094 \n", "\n", "MODEL NAME: XGBRegressor \n", "\n", "REF: Shahane et al. 2019\n", "bacterial membrane\n", "Number of lipids: 132\n", - "Difference betweer predicted and literature (ML prediction and difference): 58.554886 1.7548858642578153\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.7225 1.9224998474121122\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "mammalian membrane\n", - "Difference betweer predicted and literature (ML prediction and difference): 47.276993 5.176992797851561\n", + "Difference betweer predicted and literature (ML prediction and difference): 48.782524 6.682524108886717\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "cancer membrane\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.090496 14.99049606323242\n", + "Difference betweer predicted and literature (ML prediction and difference): 53.350945 7.250944519042967\n", "Sum of fractions (should be 1): 1.01 \n", "\n", "REF: Kumar et al. 2021\n", "M13\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.767994 12.70799392700195\n", + "Difference betweer predicted and literature (ML prediction and difference): 52.89216 3.832158508300779\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M12\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.529396 6.559396057128907\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.973934 4.0039341735839855\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M11\n", - "Difference betweer predicted and literature (ML prediction and difference): 61.529396 6.909396057128909\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.973934 4.353934173583987\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M10\n", - "Difference betweer predicted and literature (ML prediction and difference): 58.612957 2.7729570007324185\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.973934 3.133934173583981\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M9\n", - "Difference betweer predicted and literature (ML prediction and difference): 53.221165 7.6811647033691415\n", + "Difference betweer predicted and literature (ML prediction and difference): 51.43355 5.893551788330079\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M8\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.054707 1.5847065734863293\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.084007 -0.3859927368164051\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M7\n", - "Difference betweer predicted and literature (ML prediction and difference): 43.942177 -1.857823181152341\n", + "Difference betweer predicted and literature (ML prediction and difference): 44.78601 -1.0139892578124972\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M6\n", - "Difference betweer predicted and literature (ML prediction and difference): 57.267986 0.4679862976074247\n", + "Difference betweer predicted and literature (ML prediction and difference): 56.677067 -0.12293319702148153\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M5\n", - "Difference betweer predicted and literature (ML prediction and difference): 59.99164 0.29163818359374716\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.10282 -1.5971786499023466\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M4\n", - "Difference betweer predicted and literature (ML prediction and difference): 57.696926 0.6369261169433571\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.496357 1.4363569641113259\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M3\n", - "Difference betweer predicted and literature (ML prediction and difference): 57.696926 -1.8230738830566438\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.22457 -0.2954287719726594\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M2\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.066948 3.0469479370117156\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.848175 2.828175048828122\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M1\n", - "Difference betweer predicted and literature (ML prediction and difference): 63.928013 -0.8819871520996116\n", + "Difference betweer predicted and literature (ML prediction and difference): 63.772556 -1.0374436950683616\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "REF: Oliveira et al. 2022\n", "M1\n", - "Difference betweer predicted and literature (ML prediction and difference): 56.91884 -5.181161499023439\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.46276 -3.6372390747070327\n", "Sum of fractions (should be 1): 0.9999999999999999 \n", "\n", "M2\n", - "Difference betweer predicted and literature (ML prediction and difference): 56.91884 -5.0811614990234375\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.46276 -3.5372390747070312\n", "Sum of fractions (should be 1): 0.9999999999999999 \n", "\n", "M3\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.054707 -1.6452934265136747\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.05041 -3.6495887756347685\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M4\n", - "Difference betweer predicted and literature (ML prediction and difference): 60.054707 -1.5452934265136733\n", + "Difference betweer predicted and literature (ML prediction and difference): 58.681927 -2.9180732727050795\n", "Sum of fractions (should be 1): 1.0 \n", "\n", "M5\n", - "Difference betweer predicted and literature (ML prediction and difference): 56.91884 -4.28116149902344\n", + "Difference betweer predicted and literature (ML prediction and difference): 59.22457 -1.975428771972659\n", "Sum of fractions (should be 1): 1.0 \n", "\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -2525,7 +2554,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "OVERALL SCORE (MAE, RMSE, r2, Pearson): 4.137068721226284 5.6471139187377535 -0.5060726864853895 0.5692748224768448 \n", + "OVERALL SCORE (MAE, RMSE, r2, Pearson): 2.928978503999256 3.529498507486629 0.2909067452020806 0.867236493079349 \n", "\n" ] } @@ -2570,13 +2599,16 @@ " ax.plot(lims, lims, 'k-')\n", " \n", " #pval=pearsonr(testAgainstLiterature[0],testAgainstLiterature[1]) \n", - " #plt.text(1, 0, f'r = {pval[0]}', horizontalalignment='right',\n", - " # verticalalignment='bottom',\n", - " # transform=ax.transAxes)\n", " \n", - " plt.savefig('./' + modelName + '/test.pdf')\n", - " plt.show()\n", " mae, rmse, r2, pval =score(testAgainstLiterature[0],testAgainstLiterature[1])\n", + " \n", + " plt.text(0.01, 0.99, f'{modelName} \\nRMSE: {round(rmse,1)} \\nPearson: {round(pval,2)}', horizontalalignment='left',\n", + " verticalalignment='top',\n", + " transform=ax.transAxes, size = 16)\n", + " \n", + " plt.savefig('../Data/APLpredictor/' + modelName + '/' + modelName + 'test.pdf', bbox_inches='tight')\n", + " plt.show()\n", + " \n", " print('OVERALL SCORE (MAE, RMSE, r2, Pearson): ', mae, rmse, r2, pval , '\\n')\n", " " ] @@ -2614,7 +2646,7 @@ "output_type": "stream", "text": [ "Area per lipid predicted for ER membrane:\n", - "[56.78503337]\n", + "[55.9369928]\n", "1.01\n" ] } @@ -2642,7 +2674,7 @@ "output_type": "stream", "text": [ "Prediction of area per lipid for plasma membrane:\n", - "[44.64389623]\n", + "[44.49761535]\n", "1.0\n" ] } @@ -2670,10 +2702,10 @@ "output_type": "stream", "text": [ "Predicting area per lipid for mitochondrio\n", - "[74.27344256]\n", + "[73.75573637]\n", "1.0\n", "Correction for area per chain for cardiolipin\n", - "[66.10336388]\n" + "[65.64260537]\n" ] } ], @@ -2704,7 +2736,7 @@ "output_type": "stream", "text": [ "Prediction area per lipid for golgi\n", - "[51.82734673]\n", + "[51.0222105]\n", "1.0\n" ] } @@ -2732,8 +2764,10 @@ "output_type": "stream", "text": [ "Predicting area per lipid for bacterial membrane\n", - "[62.56240982]\n", - "1.0\n" + "[62.51392288]\n", + "1.0\n", + "Correction for area per chain for cardiolipin\n", + "[60.95107481]\n" ] } ], @@ -2746,7 +2780,11 @@ "single_pred=model.predict(APLquery(lips, comp, lipidHGnamesList))\n", "print(single_pred)\n", "print(sum(comp))\n", - "bacteriaMembraneAPL = single_pred" + "bacteriaMembraneAPL = single_pred\n", + "\n", + "print('Correction for area per chain for cardiolipin')\n", + "bacteriaMembraneAPLperchain = bacteriaMembraneAPL-bacteriaMembraneAPL*0.05/2\n", + "print(bacteriaMembraneAPLperchain)\n" ] }, { @@ -2760,7 +2798,7 @@ "output_type": "stream", "text": [ "Predicting area per lipid for synaptic vesicle\n", - "[44.73840142]\n", + "[44.89698862]\n", "1.0\n" ] } @@ -2802,7 +2840,7 @@ "output_type": "stream", "text": [ "Area per lipid prediction for inzluenza virus\n", - "[42.38141875]\n", + "[42.81292806]\n", "1.001\n" ] } @@ -2837,22 +2875,22 @@ "name": "stdout", "output_type": "stream", "text": [ - "[56.78503337]\n", - "[44.64389623]\n", - "[74.27344256] [66.10336388]\n", - "[51.82734673]\n", - "[62.56240982]\n", - "[44.73840142]\n", - "[42.38141875]\n" + "[73.75573637] [65.64260537]\n", + "[62.51392288] [60.95107481]\n", + "[55.9369928]\n", + "[51.0222105]\n", + "[44.49761535]\n", + "[44.89698862]\n", + "[42.81292806]\n" ] } ], "source": [ - "print(ERmembraneAPL)\n", - "print(plasmaMembraneAPL)\n", "print(mitoMembraneAPL,mitoMembraneAPLperchain)\n", + "print(bacteriaMembraneAPL,bacteriaMembraneAPLperchain)\n", + "print(ERmembraneAPL)\n", "print(golgiMembranAPL)\n", - "print(bacteriaMembraneAPL)\n", + "print(plasmaMembraneAPL)\n", "print(synapticMembraneAPL)\n", "print(influenzaMembraneAPL)" ]