diff --git a/cobra/evaluation/evaluator.py b/cobra/evaluation/evaluator.py index dad8761..aa1928b 100644 --- a/cobra/evaluation/evaluator.py +++ b/cobra/evaluation/evaluator.py @@ -40,7 +40,7 @@ class ClassificationEvaluator(): cumulative_gains : tuple Data for plotting cumulative gains curve. evaluation_metrics : dict - Map containing various scalar evaluation metrics (precision, recall, accuracy, AUC, F1, etc.) + Map containing various scalar evaluation metrics (precision, recall, accuracy, AUC, F1, etc.). lift_at : float Parameter to determine at which top level percentage the lift of the model should be computed. @@ -191,7 +191,7 @@ def plot_roc_curve(self, path: str=None, dim: tuple=(12, 8)): ax.set_xlabel("False Positive Rate", fontsize=15) ax.set_ylabel("True Positive Rate", fontsize=15) ax.legend(loc="lower right") - ax.set_title("ROC Curve", fontsize=20) + ax.set_title("ROC curve", fontsize=20) if path: plt.savefig(path, format="png", dpi=300, bbox_inches="tight") @@ -274,7 +274,7 @@ def plot_cumulative_response_curve(self, path: str=None, dim: tuple=(12, 8)): ax.grid(False) # Description - ax.set_title("Cumulative response", fontsize=20) + ax.set_title("Cumulative Response curve", fontsize=20) if path is not None: plt.savefig(path, format="png", dpi=300, bbox_inches="tight") @@ -323,7 +323,7 @@ def plot_lift_curve(self, path: str=None, dim: tuple=(12, 8)): ax.grid(False) # Description - ax.set_title("Cumulative Lift", fontsize=20) + ax.set_title("Cumulative Lift curve", fontsize=20) if path is not None: plt.savefig(path, format="png", dpi=300, bbox_inches="tight") @@ -350,7 +350,7 @@ def plot_cumulative_gains(self, path: str=None, dim: tuple=(12, 8)): ax.plot(ax.get_xlim(), ax.get_ylim(), linewidth=3, ls="--", color="darkorange", label="random selection") - ax.set_title("Cumulative Gains", fontsize=20) + ax.set_title("Cumulative Gains curve", fontsize=20) # Format axes ax.set_xlim([0, 100]) @@ -681,7 +681,7 @@ def plot_predictions(self, path: str=None, dim: tuple=(12, 8)): ax.set_xlabel("Index", fontsize=15) ax.set_ylabel("Value", fontsize=15) ax.legend(loc="best") - ax.set_title("Prediction Plot", fontsize=20) + ax.set_title("Predictions vs. Actuals", fontsize=20) if path: plt.savefig(path, format="png", dpi=300, bbox_inches="tight") @@ -722,7 +722,7 @@ def plot_qq(self, path: str=None, dim: tuple=(12, 8)): ax.set_yticks(range(int(np.floor(min(y))), int(np.ceil(max(y[x < float("inf")])))+1, 1)) ax.legend(loc="best") - ax.set_title("Q-Q Plot", fontsize=20) + ax.set_title("Q-Q plot", fontsize=20) if path: plt.savefig(path, format="png", dpi=300, bbox_inches="tight") diff --git a/cobra/evaluation/pigs_tables.py b/cobra/evaluation/pigs_tables.py index be8991e..7f03b42 100644 --- a/cobra/evaluation/pigs_tables.py +++ b/cobra/evaluation/pigs_tables.py @@ -180,21 +180,19 @@ def plot_incidence(pig_tables: pd.DataFrame, ax.yaxis.set_major_formatter( FuncFormatter(lambda y, _: '{:.1%}'.format(y))) elif model_type == "regression": - # If both the difference between the highest avg target of all bins - # versus the global avg target AND the difference between the - # lowest avg target versus the global avg target are both smaller - # than 25% of the global avg target itself, we increase the y - # axis range, to avoid that the minor avg target differences are - # spread out over the configure figure height, suggesting - # incorrectly that there are big differences in avg target across - # the bins and versus the global avg target. + # If the difference between the highest avg. target of all bins + # versus the global avg. target AND the difference between the + # lowest avg. target versus the global avg. target are both smaller + # than 25% of the global avg. target itself, we increase the + # y-axis range, to avoid that the minor avg. target differences are + # spread out over the configured figure height, suggesting + # incorrectly that there are big differences in avg. target across + # the bins and versus the global avg. target. # (Motivation for the AND above: if on one end there IS enough # difference, the effect that we discuss here does not occur.) - global_avg_target = max(df_plot['global_avg_target']) # series of same number, for every bin. - if (np.abs((max(df_plot['avg_target']) - global_avg_target)) - / global_avg_target < 0.25) \ - and (np.abs((min(df_plot['avg_target']) - global_avg_target)) - / global_avg_target < 0.25): + global_avg_target = max(df_plot['global_avg_target']) # series of same number, for every bin. + if ((np.abs((max(df_plot['avg_target']) - global_avg_target)) / global_avg_target < 0.25) + and (np.abs((min(df_plot['avg_target']) - global_avg_target)) / global_avg_target < 0.25)): ax.set_ylim(global_avg_target * 0.75, global_avg_target * 1.25) @@ -234,9 +232,9 @@ def plot_incidence(pig_tables: pd.DataFrame, title = "Incidence plot - " + variable else: title = "Mean target plot - " + variable - fig.suptitle(title, fontsize=22, y=1.02) + fig.suptitle(title, fontsize=22) ax.legend(frameon=False, bbox_to_anchor=(0., 1.01, 1., .102), - loc=3, ncol=3, mode="expand", borderaxespad=0., + loc=3, ncol=1, mode="expand", borderaxespad=0., prop={"size": 14}) # Set order of layers @@ -245,5 +243,8 @@ def plot_incidence(pig_tables: pd.DataFrame, del df_plot + plt.tight_layout() + plt.margins(0.01) + # Show plt.show() diff --git a/cobra/model_building/forward_selection.py b/cobra/model_building/forward_selection.py index 9357913..e6fc029 100644 --- a/cobra/model_building/forward_selection.py +++ b/cobra/model_building/forward_selection.py @@ -29,7 +29,7 @@ class ForwardFeatureSelection: more or less with the maximum number of steps in the forward feature selection. pos_only : bool - Whether or not the model coefficients should all be positive. + Whether or not the model coefficients should all be positive (no sign flips). self._fitted_models : list List of fitted models. """ @@ -76,8 +76,7 @@ def get_model_from_step(self, step: int): def compute_model_performances(self, data: pd.DataFrame, target_column_name: str, - splits: list = ["train", "selection", - "validation"] + splits: list=["train", "selection", "validation"] ) -> pd.DataFrame: """Compute for each model the performance for different sets (e.g. train-selection-validation) and return them along with a list of @@ -111,7 +110,7 @@ def compute_model_performances(self, data: pd.DataFrame, "last_added_predictor": list(last_added_predictor)[0] } - # Evaluate model on each data set split, + # Evaluate model on each dataset split, # e.g. train-selection-validation tmp.update({ f"{split}_performance": model.evaluate( @@ -139,7 +138,11 @@ def fit(self, train_data: pd.DataFrame, target_column_name: str, Parameters ---------- train_data : pd.DataFrame - Data on which to fit the model. + Data on which to fit the model. Should include a "train" + and "selection" split for correct model selection! The + "train" split is used to train a model, the "selection" + split is used to evaluate which model to include in the + actual forward feature selection. target_column_name : str Name of the target column. predictors : list @@ -155,6 +158,12 @@ def fit(self, train_data: pd.DataFrame, target_column_name: str, In case the number of forced predictors is larger than the maximum number of allowed predictors in the model. """ + + assert "split" in train_data.columns, "The train_data input df does not include a split column." + print(train_data["split"].unique()) + assert len(set(["train", "selection"]).difference(set(train_data["split"].unique()))) == 0, \ + "The train_data input df does not include a 'train' and 'selection' split." + # remove excluded predictors from predictor lists filtered_predictors = [var for var in predictors if (var not in excluded_predictors and @@ -163,13 +172,13 @@ def fit(self, train_data: pd.DataFrame, target_column_name: str, # checks on predictor lists and self.max_predictors attr if len(forced_predictors) > self.max_predictors: raise ValueError("Size of forced_predictors cannot be bigger than " - "max_predictors") + "max_predictors.") elif len(forced_predictors) == self.max_predictors: log.info("Size of forced_predictors equals max_predictors " "only one model will be trained...") # train model with all forced_predictors (only) (self._fitted_models - .append(self._train_model(train_data, + .append(self._train_model(train_data[train_data["split"] == "train"], target_column_name, forced_predictors))) else: @@ -178,12 +187,14 @@ def fit(self, train_data: pd.DataFrame, target_column_name: str, filtered_predictors, forced_predictors) - def _forward_selection(self, train_data: pd.DataFrame, - target_column_name: str, predictors: list, + def _forward_selection(self, + train_data: pd.DataFrame, + target_column_name: str, + predictors: list, forced_predictors: list = []) -> list: """Perform the forward feature selection algorithm to compute a list of models (with increasing performance). The length of the list, - i.e. the number of models is bounded by the max_predictors class + i.e. the number of models, is bounded by the max_predictors class attribute. Parameters @@ -208,10 +219,11 @@ def _forward_selection(self, train_data: pd.DataFrame, max_steps = 1 + min(self.max_predictors, len(predictors) + len(forced_predictors)) + for step in tqdm(range(1, max_steps), desc="Sequentially adding best " "predictor..."): if step <= len(forced_predictors): - # first, we go through forced predictors + # first, we go through the forced predictors candidate_predictors = [var for var in forced_predictors if var not in current_predictors] else: @@ -230,13 +242,19 @@ def _forward_selection(self, train_data: pd.DataFrame, .union(set(model.predictors))) fitted_models.append(model) + # else: + # # If model returns None for the first time, + # # one can in theory stop the feature selection process + # # but we leave it run such that tqdm cleanly finishes + # break if not fitted_models: - log.error("No models found in forward selection") + log.error("No models found in forward selection.") return fitted_models - def _find_next_best_model(self, train_data: pd.DataFrame, + def _find_next_best_model(self, + train_data: pd.DataFrame, target_column_name: str, candidate_predictors: list, current_predictors: list): @@ -272,15 +290,19 @@ def _find_next_best_model(self, train_data: pd.DataFrame, "for the given model_type specified as " "ForwardFeatureSelection argument.") + fit_data = train_data[train_data["split"] == "train"] # data to fit the models with + sel_data = train_data[train_data["split"] == "selection"] # data to compare the models with + for pred in candidate_predictors: # Train a model with an additional predictor - model = self._train_model(train_data, target_column_name, + model = self._train_model(fit_data, target_column_name, (current_predictors + [pred])) + # Evaluate the model performance = (model - .evaluate(train_data[current_predictors + [pred]], - train_data[target_column_name], - split="train")) + .evaluate(sel_data[current_predictors + [pred]], + sel_data[target_column_name], + split="selection")) if self.pos_only and (not (model.get_coef() >= 0).all()): continue diff --git a/cobra/model_building/models.py b/cobra/model_building/models.py index f27acfc..18fa0f6 100644 --- a/cobra/model_building/models.py +++ b/cobra/model_building/models.py @@ -83,12 +83,12 @@ def deserialize(self, model_dict: dict): self._eval_metrics_by_split = model_dict["_eval_metrics_by_split"] def get_coef(self) -> np.array: - """Returns the model coefficients + """Returns the model coefficients. Returns ------- np.array - array of model coefficients + Array of model coefficients. """ return self.logit.coef_[0] @@ -157,7 +157,7 @@ def evaluate(self, X: pd.DataFrame, y: pd.Series, y : pd.Series Dataset containing the target of each observation. split : str, optional - Split of the dataset (e.g. train-selection-validation). + Split name of the dataset (e.g. "train", "selection", or "validation"). Returns ------- @@ -249,12 +249,12 @@ def __init__(self): self._eval_metrics_by_split = {} def serialize(self) -> dict: - """Serialize model as JSON + """Serialize model as JSON. Returns ------- dict - dictionary containing the serialized JSON + Dictionary containing the serialized JSON. """ serialized_model = { "meta": "linear-regression", @@ -272,7 +272,7 @@ def serialize(self) -> dict: return serialized_model def deserialize(self, model_dict: dict): - """Deserialize a model previously stored as JSON + """Deserialize a model previously stored as JSON. Parameters ---------- @@ -282,7 +282,7 @@ def deserialize(self, model_dict: dict): Raises ------ ValueError - In case JSON file is no valid serialized model + In case JSON file is no valid serialized model. """ if not self._is_valid_dict(model_dict): @@ -296,37 +296,37 @@ def deserialize(self, model_dict: dict): self._eval_metrics_by_split = model_dict["_eval_metrics_by_split"] def get_coef(self) -> np.array: - """Returns the model coefficients + """Returns the model coefficients. Returns ------- np.array - array of model coefficients + Array of model coefficients. """ - return self.linear.coef_[0] + return self.linear.coef_ def get_intercept(self) -> float: - """Returns the intercept of the model + """Returns the intercept of the model. Returns ------- float - intercept of the model + Intercept of the model. """ return self.linear.intercept_[0] def get_coef_by_predictor(self) -> dict: - """Returns a dictionary mapping predictor (key) to coefficient (value) + """Returns a dictionary mapping predictor (key) to coefficient (value). Returns ------- dict - map ``{predictor: coefficient}`` + A map ``{predictor: coefficient}``. """ - return dict(zip(self.predictors, self.linear.coef_[0])) + return dict(zip(self.predictors, self.linear.coef_)) def fit(self, X_train: pd.DataFrame, y_train: pd.Series): - """Fit the model + """Fit the model. Parameters ---------- @@ -370,7 +370,7 @@ def evaluate(self, X: pd.DataFrame, y: pd.Series, y : pd.Series Dataset containing the target of each observation. split : str, optional - Split of the dataset (e.g. train-selection-validation). + Split name of the dataset (e.g. "train", "selection", or "validation"). Returns ------- diff --git a/cobra/model_building/univariate_selection.py b/cobra/model_building/univariate_selection.py index 432f18d..2db4abb 100644 --- a/cobra/model_building/univariate_selection.py +++ b/cobra/model_building/univariate_selection.py @@ -128,7 +128,7 @@ def compute_univariate_preselection(target_enc_train_data: pd.DataFrame, return df_out def get_preselected_predictors(df_metric: pd.DataFrame) -> list: - """Wrapper function to extract a list of predictors from df_auc. + """Wrapper function to extract a list of predictors from df_metric. Parameters ---------- @@ -136,10 +136,11 @@ def get_preselected_predictors(df_metric: pd.DataFrame) -> list: DataFrame containing for each variable the train AUC or RMSE and test AUC or RMSE along with a boolean indicating whether or not it is selected based on the criteria. + Returns ------- list - list of preselected predictors + List of preselected predictors. """ if "AUC selection" in df_metric.columns: @@ -156,7 +157,7 @@ def get_preselected_predictors(df_metric: pd.DataFrame) -> list: def compute_correlations(target_enc_train_data: pd.DataFrame, predictors: list) -> pd.DataFrame: """Given a DataFrame and a list of predictors, compute the correlations - amongst the predictors in the DataFrame + amongst the predictors in the DataFrame. Parameters ---------- diff --git a/cobra/preprocessing/categorical_data_processor.py b/cobra/preprocessing/categorical_data_processor.py index 75ec543..175bfb5 100644 --- a/cobra/preprocessing/categorical_data_processor.py +++ b/cobra/preprocessing/categorical_data_processor.py @@ -65,14 +65,14 @@ class CategoricalDataProcessor(BaseEstimator): "scale_contingency_table", "forced_categories"] def __init__(self, - model_type: str = "classification", - regroup: bool = True, - regroup_name: str = "Other", - keep_missing: bool = True, - category_size_threshold: int = 5, - p_value_threshold: float = 0.001, - scale_contingency_table: bool = True, - forced_categories: dict = {}): + model_type: str="classification", + regroup: bool=True, + regroup_name: str="Other", + keep_missing: bool=True, + category_size_threshold: int=5, + p_value_threshold: float=0.001, + scale_contingency_table: bool=True, + forced_categories: dict={}): if model_type not in ["classification", "regression"]: raise ValueError("An unexpected model_type was provided. A valid model_type is either 'classification' or 'regression'.") @@ -90,13 +90,13 @@ def __init__(self, self._cleaned_categories_by_column = {} def attributes_to_dict(self) -> dict: - """Return the attributes of CategoricalDataProcessor as a dictionary + """Return the attributes of CategoricalDataProcessor as a dictionary. Returns ------- dict Contains the attributes of CategoricalDataProcessor instance with - the attribute name as key + the attribute name as key. """ params = self.get_params() @@ -120,7 +120,7 @@ def set_attributes_from_dict(self, params: dict): Raises ------ ValueError - In case _cleaned_categories_by_column is not of type dict + In case _cleaned_categories_by_column is not of type dict. """ _fitted_output = params.pop("_cleaned_categories_by_column", {}) @@ -144,7 +144,7 @@ def set_attributes_from_dict(self, params: dict): def fit(self, data: pd.DataFrame, column_names: list, target_column: str): - """Fit the CategoricalDataProcessor + """Fit the CategoricalDataProcessor. Parameters ---------- @@ -195,7 +195,7 @@ def _fit_column(self, data: pd.DataFrame, column_name: str, Returns ------- list - list of categories to combine into a category "Other" + List of categories to combine into a category "Other". """ model_type = self.model_type @@ -256,20 +256,20 @@ def _fit_column(self, data: pd.DataFrame, column_name: str, def transform(self, data: pd.DataFrame, column_names: list) -> pd.DataFrame: - """Transform the data + """Transform the data. Parameters ---------- data : pd.DataFrame - data used to compute the mapping to encode the categorical + Data used to compute the mapping to encode the categorical variables with. column_names : list - Columns of data to be processed + Columns of data to be processed. Returns ------- pd.DataFrame - data with additional transformed variables + Data with additional transformed variables. """ if self.regroup and len(self._cleaned_categories_by_column) == 0: @@ -293,7 +293,7 @@ def _transform_column(self, data: pd.DataFrame, column_name: str) -> pd.DataFrame: """Given a DataFrame, a column name and a list of categories to combine, create an additional column which combines these categories - into "Other" + into "Other". Parameters ---------- @@ -305,7 +305,7 @@ def _transform_column(self, data: pd.DataFrame, Returns ------- pd.DataFrame - original DataFrame with an added processed column + Original DataFrame with an added processed column. """ column_name_clean = column_name + "_processed" @@ -343,22 +343,22 @@ def _transform_column(self, data: pd.DataFrame, def fit_transform(self, data: pd.DataFrame, column_names: list, target_column: str) -> pd.DataFrame: - """Fits to data, then transform it + """Fits the data, then transforms it. Parameters ---------- data : pd.DataFrame - data used to compute the mapping to encode the categorical + Data used to compute the mapping to encode the categorical variables with. column_names : list - Columns of data to be processed + Columns of data to be processed. target_column : str - Column name of the target + Column name of the target. Returns ------- pd.DataFrame - data with additional transformed variables + Data with additional transformed variables. """ self.fit(data, column_names, target_column) @@ -398,19 +398,19 @@ def _get_small_categories(predictor_series: pd.Series, @staticmethod def _replace_missings(data: pd.DataFrame, column_names: Optional[list] = None) -> pd.DataFrame: - """Replace missing values (incl empty strings) + """Replace missing values (incl. empty strings). Parameters ---------- data : pd.DataFrame - data to replace missings in + Data to replace missings in. column_names: list, optional - list of predictors to replace missings in + List of predictors to replace missings in. Returns ------- list - list of unique values in the data + List of unique values in the data. """ # replace missings (incl. empty string) regex = re.compile("^\\s+|\\s+$") @@ -454,7 +454,7 @@ def _compute_p_value(X: pd.Series, y: pd.Series, category: str, Returns ------- float - p-value of applied statistical test + The p-value of applied statistical test. """ df = pd.concat([X, y], axis=1) df.columns = ["X", "y"] @@ -484,13 +484,13 @@ def _compute_p_value(X: pd.Series, y: pd.Series, category: str, @staticmethod def _replace_categories(data: pd.Series, categories: set, replace_with: str) -> pd.Series: - """replace categories in set with "Other" and transform the remaining - categories to strings to avoid type errors later on in the pipeline + """Replace categories in set with "Other" and transform the remaining + categories to strings to avoid type errors later on in the pipeline. Parameters ---------- data : pd.Series - Dataset which contains the variable to be replaced + Dataset which contains the variable to be replaced. categories : set Cleaned categories. replace_with: str @@ -499,7 +499,7 @@ def _replace_categories(data: pd.Series, categories: set, Returns ------- pd.Series - Series with replaced categories + Series with replaced categories. """ return data.apply( lambda x: str(x) if x in categories else replace_with) diff --git a/cobra/preprocessing/preprocessor.py b/cobra/preprocessing/preprocessor.py index 1afa175..e1aec34 100644 --- a/cobra/preprocessing/preprocessor.py +++ b/cobra/preprocessing/preprocessor.py @@ -37,7 +37,7 @@ class PreProcessor(BaseEstimator): Instance of CategoricalDataProcessor to do the preprocessing of categorical variables. discretizer : KBinsDiscretizer - Instance of KBinsDiscretizer to do the prepocessing of continuous + Instance of KBinsDiscretizer to do the preprocessing of continuous variables by means of discretization. target_encoder : TargetEncoder Instance of TargetEncoder to do the incidence replacement. @@ -347,9 +347,9 @@ def fit_transform(self, train_data: pd.DataFrame, continuous_vars: list, @staticmethod def train_selection_validation_split(data: pd.DataFrame, - train_prop: float = 0.6, - selection_prop: float = 0.2, - validation_prop: float = 0.2) -> pd.DataFrame: + train_prop: float=0.6, + selection_prop: float=0.2, + validation_prop: float=0.2) -> pd.DataFrame: """Adds `split` column with train/selection/validation values to the dataset. @@ -400,7 +400,6 @@ def train_selection_validation_split(data: pd.DataFrame, return data - def serialize_pipeline(self) -> dict: """Serialize the preprocessing pipeline by writing all its required parameters to a dictionary to later store it as a JSON file. diff --git a/cobra/preprocessing/target_encoder.py b/cobra/preprocessing/target_encoder.py index 8b694fb..3eda39d 100644 --- a/cobra/preprocessing/target_encoder.py +++ b/cobra/preprocessing/target_encoder.py @@ -66,7 +66,7 @@ def __init__(self, weight: float=0.0, imputation_strategy: str="mean"): if weight < 0: - raise ValueError("The value of weight cannot be smaller than zero") + raise ValueError("The value of weight cannot be smaller than zero.") elif imputation_strategy not in self.valid_imputation_strategies: raise ValueError("Valid options for 'imputation_strategy' are {}." " Got imputation_strategy={!r} instead." diff --git a/tests/evaluation/test_evaluation.py b/tests/evaluation/test_evaluation.py index 07296e6..0ed388f 100644 --- a/tests/evaluation/test_evaluation.py +++ b/tests/evaluation/test_evaluation.py @@ -1,10 +1,11 @@ + import pytest import pandas as pd import numpy as np + from cobra.evaluation import plot_incidence from cobra.evaluation import ClassificationEvaluator, RegressionEvaluator - def mock_data(): d = {'variable': ['education', 'education', 'education', 'education'], 'label': ['1st-4th', '5th-6th', '7th-8th', '9th'], diff --git a/tests/model_building/test_forward_selection.py b/tests/model_building/test_forward_selection.py index ef5fd17..51d526c 100644 --- a/tests/model_building/test_forward_selection.py +++ b/tests/model_building/test_forward_selection.py @@ -1,12 +1,11 @@ + from contextlib import contextmanager import pytest - import pandas as pd from cobra.model_building.models import LogisticRegressionModel, LinearRegressionModel from cobra.model_building.forward_selection import ForwardFeatureSelection - @contextmanager def does_not_raise(): yield @@ -96,6 +95,18 @@ def mock_evaluate(self, X, y, split): # on AUC scale, but gives the same for RM pd.testing.assert_frame_equal(actual, expected) + @pytest.mark.parametrize("model_type", ["classification", "regression"]) + def test_ffs_train_data_assertions(self, model_type): + + fw_selection = ForwardFeatureSelection(model_type=model_type) + + with pytest.raises(AssertionError): # no split column + fw_selection.fit(pd.DataFrame(), "target", predictors=[""]) + + df = mock_data(add_split_col=True, model_type=model_type) + with pytest.raises(AssertionError): # not at least train & selection sets + fw_selection.fit(df[df["split"] == "train"], "target", predictors=[""]) + @pytest.mark.parametrize("model_type, max_predictors, expectation", [("classification", 2, pytest.raises(ValueError)), ("classification", 3, does_not_raise()), @@ -137,8 +148,9 @@ def mock_forward_selection(self, train_data, target_column_name, mocker.patch("cobra.model_building.ForwardFeatureSelection._forward_selection", mock_forward_selection) + df = mock_data(add_split_col=True, model_type=model_type) with expectation: - fw_selection.fit(pd.DataFrame(), "target", + fw_selection.fit(df, "target", # data is ignored predictors=predictors_list, forced_predictors=forced_predictors_list, excluded_predictors=[]) diff --git a/tests/model_building/test_models.py b/tests/model_building/test_models.py index 80425b7..d7c04aa 100644 --- a/tests/model_building/test_models.py +++ b/tests/model_building/test_models.py @@ -1,9 +1,9 @@ + import numpy as np import pandas as pd from cobra.model_building.models import LogisticRegressionModel, LinearRegressionModel - def mock_data(): return pd.DataFrame({"var1_enc": [0.42] * 10, "var2_enc": [0.94] * 10, diff --git a/tests/model_building/test_univariate_selection.py b/tests/model_building/test_univariate_selection.py index 55e924e..c69a4de 100644 --- a/tests/model_building/test_univariate_selection.py +++ b/tests/model_building/test_univariate_selection.py @@ -1,10 +1,8 @@ -import pytest import pandas as pd from cobra.model_building import univariate_selection - def mock_data(): return pd.DataFrame({"var1_enc": [0.42] * 10, "var2_enc": [0.94] * 10, diff --git a/tests/preprocessing/test_categorical_data_processor.py b/tests/preprocessing/test_categorical_data_processor.py index 6e026d3..dd53434 100644 --- a/tests/preprocessing/test_categorical_data_processor.py +++ b/tests/preprocessing/test_categorical_data_processor.py @@ -1,11 +1,10 @@ -import pytest +import pytest import numpy as np import pandas as pd from cobra.preprocessing import CategoricalDataProcessor - class TestCategoricalDataProcessor: def test_attributes_to_dict(self): diff --git a/tests/preprocessing/test_kbins_discretizer.py b/tests/preprocessing/test_kbins_discretizer.py index 5b0aeeb..d3a643a 100644 --- a/tests/preprocessing/test_kbins_discretizer.py +++ b/tests/preprocessing/test_kbins_discretizer.py @@ -1,13 +1,11 @@ + from contextlib import contextmanager import pytest - import numpy as np import pandas as pd -import math from cobra.preprocessing.kbins_discretizer import KBinsDiscretizer - @contextmanager def does_not_raise(): yield diff --git a/tests/preprocessing/test_preprocessor.py b/tests/preprocessing/test_preprocessor.py index 2e42759..0dd6694 100644 --- a/tests/preprocessing/test_preprocessor.py +++ b/tests/preprocessing/test_preprocessor.py @@ -1,14 +1,12 @@ -from contextlib import contextmanager -import pytest +from contextlib import contextmanager from typing import Any - +import pytest import numpy as np import pandas as pd from cobra.preprocessing.preprocessor import PreProcessor - @contextmanager def does_not_raise(): yield diff --git a/tests/preprocessing/test_target_encoder.py b/tests/preprocessing/test_target_encoder.py index d6007c9..51ebd79 100644 --- a/tests/preprocessing/test_target_encoder.py +++ b/tests/preprocessing/test_target_encoder.py @@ -1,10 +1,10 @@ + import pytest import pandas as pd from sklearn.exceptions import NotFittedError from cobra.preprocessing.target_encoder import TargetEncoder - class TestTargetEncoder: def test_target_encoder_constructor_weight_value_error(self): diff --git a/tutorials/tutorial_Cobra_linear_regression.ipynb b/tutorials/tutorial_Cobra_linear_regression.ipynb index f9b3a14..3056b2a 100644 --- a/tutorials/tutorial_Cobra_linear_regression.ipynb +++ b/tutorials/tutorial_Cobra_linear_regression.ipynb @@ -106,6 +106,7 @@ "source": [ "import json\n", "import os\n", + "import random\n", "import pandas as pd\n", "import numpy as np\n", "import seaborn as sns\n", @@ -119,30 +120,10 @@ "cell_type": "code", "execution_count": 5, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'1.1.0'" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import cobra\n", - "cobra.__version__" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, "outputs": [], "source": [ - "## specific function imports\n", + "from cobra import __version__\n", + "\n", "from cobra.preprocessing import PreProcessor\n", "\n", "from cobra.model_building import univariate_selection\n", @@ -158,6 +139,23 @@ "from cobra.evaluation import plot_incidence" ] }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The version of Cobra being used is 1.1.0.\n" + ] + } + ], + "source": [ + "print(f\"The version of Cobra being used is {__version__}.\")" + ] + }, { "cell_type": "code", "execution_count": 7, @@ -290,9 +288,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "In the example below, we assume the data for model building is available in a pandas DataFrame. This DataFrame should contain a an ID column, a target column (e.g. “**mpg**”) and a number of candidate predictors (features) to build a model with.\n", + "In the example below, we assume the data for model building is available in a pandas DataFrame. This DataFrame should contain an ID column, a target column (e.g. “**mpg**”) and a number of candidate predictors (features) to build a model with.\n", "\n", - "***\n" + "***" ] }, { @@ -353,17 +351,17 @@ "source": [ "#### The first part focusses on preparing the predictors for modelling by:\n", "\n", - "1. Defining the ID column, the target, discrete and contineous variables\n", + "1. Defining the ID column, the target, discrete and contineous variables.\n", "\n", "2. Splitting the dataset into training, selection and validation datasets.\n", "\n", - "3. Binning continuous variables into discrete intervals\n", + "3. Binning continuous variables into discrete intervals.\n", "\n", - "4. Replacing missing values of both categorical and continuous variables (which are now binned) with an additional “Missing” bin/category\n", + "4. Replacing missing values of both categorical and continuous variables (which are now binned) with an additional “Missing” bin/category.\n", "\n", - "5. Regrouping categories in new category “other”\n", + "5. Regrouping categories in new category “other”.\n", "\n", - "6. Replacing bins/categories with their corresponding average of the target values\n", + "6. Replacing bins/categories with their corresponding average of the target values.\n", "\n", "*Note to user*: as any good data scientist knows, you still need to deal in your data with irregularities, such as outliers or very skewed distributions." ] @@ -421,18 +419,38 @@ "df[target_col].describe()" ] }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(398, 10)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Finding out which variables are categorical (discrete) and which are continuous.\n", + "We need to find out which variables are categorical (discrete) and which are continuous.\n", "\n", "Discrete variables are definitely those that contain strings." ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -458,7 +476,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -471,7 +489,7 @@ ], "source": [ "for col in df.columns:\n", - " if col not in discrete_vars and col not in [id_col, target_col]: # omit discrete because a string and target\n", + " if col not in discrete_vars and col not in [id_col, target_col]: # omit discrete because a string, and target\n", " val_counts = df[col].nunique()\n", " if val_counts > 1 and val_counts <= 10: # the column contains less than 10 different values\n", " print(col)" @@ -486,7 +504,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -495,7 +513,7 @@ "['origin', 'name', 'cylinders']" ] }, - "execution_count": 14, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -514,16 +532,16 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "['acceleration', 'displacement', 'horsepower', 'weight', 'model_year']" + "['model_year', 'horsepower', 'weight', 'acceleration', 'displacement']" ] }, - "execution_count": 15, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -544,7 +562,16 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "model_type = \"regression\"" + ] + }, + { + "cell_type": "code", + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -556,12 +583,12 @@ } ], "source": [ - "# using all Cobra's default parameters for preprocessing for now\n", + "# using all Cobra's default parameters for preprocessing here\n", "preprocessor = PreProcessor.from_params(\n", - " model_type=\"regression\"\n", + " model_type=model_type\n", ")\n", "\n", - "# These are all available options: help(PreProcessor.from_params)" + "# these are all available options: help(PreProcessor.from_params)" ] }, { @@ -573,14 +600,15 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ + "random.seed(1212)\n", "basetable = preprocessor.train_selection_validation_split(data=df,\n", " train_prop=0.6,\n", - " selection_prop=0.2,\n", - " validation_prop=0.2)" + " selection_prop=0.25,\n", + " validation_prop=0.15)" ] }, { @@ -592,13 +620,13 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5ce2036a3c914b878e8dce0bee1d0224", + "model_id": "2c60688f9eb848729443a393e07a4ed5", "version_major": 2, "version_minor": 0 }, @@ -612,7 +640,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "af1c3b2f4b5e49848a4ed6053b22ec6f", + "model_id": "2568fdc4556e4c86becc71126644f620", "version_major": 2, "version_minor": 0 }, @@ -626,7 +654,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9aeb1d82ef8c49d2882562455dbe176e", + "model_id": "c6d1bdaedeb24c88a5bd640821023bfe", "version_major": 2, "version_minor": 0 }, @@ -640,7 +668,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "1d02e1b9f4de4771af56114f36145021", + "model_id": "2f66fb306107480a8ff329a13d15a991", "version_major": 2, "version_minor": 0 }, @@ -653,7 +681,6 @@ } ], "source": [ - "# Fit the preprocessor pipeline:\n", "preprocessor.fit(basetable[basetable[\"split\"]==\"train\"],\n", " continuous_vars=continuous_vars,\n", " discrete_vars=discrete_vars,\n", @@ -669,13 +696,13 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2d97e40c618446c0b10e26d851ea4836", + "model_id": "b81168e4fa1c45dd8f7d8ea36d0b0dfb", "version_major": 2, "version_minor": 0 }, @@ -689,7 +716,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "bd8f55edef42402da3f8edf1b6f68a60", + "model_id": "36d086e152f94f6bad33bc4ba2dd71db", "version_major": 2, "version_minor": 0 }, @@ -732,22 +759,22 @@ " name\n", " id\n", " split\n", - " acceleration_bin\n", - " displacement_bin\n", + " model_year_bin\n", " horsepower_bin\n", " weight_bin\n", - " model_year_bin\n", + " acceleration_bin\n", + " displacement_bin\n", " origin_processed\n", " name_processed\n", " cylinders_processed\n", " origin_enc\n", " name_enc\n", " cylinders_enc\n", - " acceleration_enc\n", - " displacement_enc\n", + " model_year_enc\n", " horsepower_enc\n", " weight_enc\n", - " model_year_enc\n", + " acceleration_enc\n", + " displacement_enc\n", " \n", " \n", " \n", @@ -763,23 +790,23 @@ " usa\n", " chevrolet chevelle malibu\n", " 1\n", - " train\n", - " 8.0 - 12.5\n", - " 250.0 - 307.0\n", - " 110.0 - 145.0\n", - " 3426.0 - 3872.0\n", + " validation\n", " 70.0 - 71.0\n", + " 113.0 - 145.0\n", + " 3432.0 - 3883.0\n", + " 8.0 - 12.0\n", + " 250.0 - 318.0\n", " usa\n", " chevrolet chevelle malibu\n", " 8\n", - " 19.815436\n", - " 17.500000\n", - " 14.770769\n", - " 15.078571\n", - " 16.660000\n", - " 18.188000\n", - " 17.225\n", - " 18.78125\n", + " 20.35871\n", + " 17.0\n", + " 15.051515\n", + " 19.057143\n", + " 18.769231\n", + " 17.129167\n", + " 16.185185\n", + " 16.793333\n", " \n", " \n", " 1\n", @@ -793,23 +820,23 @@ " usa\n", " buick skylark 320\n", " 2\n", - " validation\n", - " 8.0 - 12.5\n", - " 307.0 - 350.0\n", - " 145.0 - 165.0\n", - " 3426.0 - 3872.0\n", + " train\n", " 70.0 - 71.0\n", + " 162.0 - 230.0\n", + " 3432.0 - 3883.0\n", + " 8.0 - 12.0\n", + " 318.0 - 350.0\n", " usa\n", " buick skylark 320\n", " 8\n", - " 19.815436\n", - " 23.570417\n", - " 14.770769\n", - " 15.078571\n", - " 14.673913\n", - " 14.243478\n", - " 17.225\n", - " 18.78125\n", + " 20.35871\n", + " 15.0\n", + " 15.051515\n", + " 19.057143\n", + " 13.612500\n", + " 17.129167\n", + " 16.185185\n", + " 15.035294\n", " \n", " \n", " 2\n", @@ -823,23 +850,23 @@ " usa\n", " plymouth satellite\n", " 3\n", - " validation\n", - " 8.0 - 12.5\n", - " 307.0 - 350.0\n", - " 145.0 - 165.0\n", - " 3426.0 - 3872.0\n", + " train\n", " 70.0 - 71.0\n", + " 145.0 - 162.0\n", + " 3432.0 - 3883.0\n", + " 8.0 - 12.0\n", + " 250.0 - 318.0\n", " usa\n", " plymouth satellite\n", " 8\n", - " 19.815436\n", - " 23.570417\n", - " 14.770769\n", - " 15.078571\n", - " 14.673913\n", - " 14.243478\n", - " 17.225\n", - " 18.78125\n", + " 20.35871\n", + " 18.0\n", + " 15.051515\n", + " 19.057143\n", + " 14.380952\n", + " 17.129167\n", + " 16.185185\n", + " 16.793333\n", " \n", " \n", " 3\n", @@ -853,23 +880,23 @@ " usa\n", " amc rebel sst\n", " 4\n", - " selection\n", - " 8.0 - 12.5\n", - " 250.0 - 307.0\n", - " 145.0 - 165.0\n", - " 3426.0 - 3872.0\n", + " train\n", " 70.0 - 71.0\n", + " 145.0 - 162.0\n", + " 3432.0 - 3883.0\n", + " 8.0 - 12.0\n", + " 250.0 - 318.0\n", " usa\n", " amc rebel sst\n", " 8\n", - " 19.815436\n", - " 23.570417\n", - " 14.770769\n", - " 15.078571\n", - " 16.660000\n", - " 14.243478\n", - " 17.225\n", - " 18.78125\n", + " 20.35871\n", + " 16.0\n", + " 15.051515\n", + " 19.057143\n", + " 14.380952\n", + " 17.129167\n", + " 16.185185\n", + " 16.793333\n", " \n", " \n", " 4\n", @@ -884,22 +911,22 @@ " ford torino\n", " 5\n", " train\n", - " 8.0 - 12.5\n", - " 250.0 - 307.0\n", - " 110.0 - 145.0\n", - " 3426.0 - 3872.0\n", " 70.0 - 71.0\n", + " 113.0 - 145.0\n", + " 3432.0 - 3883.0\n", + " 8.0 - 12.0\n", + " 250.0 - 318.0\n", " usa\n", " ford torino\n", " 8\n", - " 19.815436\n", - " 17.000000\n", - " 14.770769\n", - " 15.078571\n", - " 16.660000\n", - " 18.188000\n", - " 17.225\n", - " 18.78125\n", + " 20.35871\n", + " 17.0\n", + " 15.051515\n", + " 19.057143\n", + " 18.769231\n", + " 17.129167\n", + " 16.185185\n", + " 16.793333\n", " \n", " \n", "\n", @@ -914,42 +941,42 @@ "4 17.0 8 302.0 140.0 3449 10.5 \n", "\n", " model_year origin name id split \\\n", - "0 70 usa chevrolet chevelle malibu 1 train \n", - "1 70 usa buick skylark 320 2 validation \n", - "2 70 usa plymouth satellite 3 validation \n", - "3 70 usa amc rebel sst 4 selection \n", + "0 70 usa chevrolet chevelle malibu 1 validation \n", + "1 70 usa buick skylark 320 2 train \n", + "2 70 usa plymouth satellite 3 train \n", + "3 70 usa amc rebel sst 4 train \n", "4 70 usa ford torino 5 train \n", "\n", - " acceleration_bin displacement_bin horsepower_bin weight_bin \\\n", - "0 8.0 - 12.5 250.0 - 307.0 110.0 - 145.0 3426.0 - 3872.0 \n", - "1 8.0 - 12.5 307.0 - 350.0 145.0 - 165.0 3426.0 - 3872.0 \n", - "2 8.0 - 12.5 307.0 - 350.0 145.0 - 165.0 3426.0 - 3872.0 \n", - "3 8.0 - 12.5 250.0 - 307.0 145.0 - 165.0 3426.0 - 3872.0 \n", - "4 8.0 - 12.5 250.0 - 307.0 110.0 - 145.0 3426.0 - 3872.0 \n", + " model_year_bin horsepower_bin weight_bin acceleration_bin \\\n", + "0 70.0 - 71.0 113.0 - 145.0 3432.0 - 3883.0 8.0 - 12.0 \n", + "1 70.0 - 71.0 162.0 - 230.0 3432.0 - 3883.0 8.0 - 12.0 \n", + "2 70.0 - 71.0 145.0 - 162.0 3432.0 - 3883.0 8.0 - 12.0 \n", + "3 70.0 - 71.0 145.0 - 162.0 3432.0 - 3883.0 8.0 - 12.0 \n", + "4 70.0 - 71.0 113.0 - 145.0 3432.0 - 3883.0 8.0 - 12.0 \n", "\n", - " model_year_bin origin_processed name_processed \\\n", - "0 70.0 - 71.0 usa chevrolet chevelle malibu \n", - "1 70.0 - 71.0 usa buick skylark 320 \n", - "2 70.0 - 71.0 usa plymouth satellite \n", - "3 70.0 - 71.0 usa amc rebel sst \n", - "4 70.0 - 71.0 usa ford torino \n", + " displacement_bin origin_processed name_processed \\\n", + "0 250.0 - 318.0 usa chevrolet chevelle malibu \n", + "1 318.0 - 350.0 usa buick skylark 320 \n", + "2 250.0 - 318.0 usa plymouth satellite \n", + "3 250.0 - 318.0 usa amc rebel sst \n", + "4 250.0 - 318.0 usa ford torino \n", "\n", - " cylinders_processed origin_enc name_enc cylinders_enc acceleration_enc \\\n", - "0 8 19.815436 17.500000 14.770769 15.078571 \n", - "1 8 19.815436 23.570417 14.770769 15.078571 \n", - "2 8 19.815436 23.570417 14.770769 15.078571 \n", - "3 8 19.815436 23.570417 14.770769 15.078571 \n", - "4 8 19.815436 17.000000 14.770769 15.078571 \n", + " cylinders_processed origin_enc name_enc cylinders_enc model_year_enc \\\n", + "0 8 20.35871 17.0 15.051515 19.057143 \n", + "1 8 20.35871 15.0 15.051515 19.057143 \n", + "2 8 20.35871 18.0 15.051515 19.057143 \n", + "3 8 20.35871 16.0 15.051515 19.057143 \n", + "4 8 20.35871 17.0 15.051515 19.057143 \n", "\n", - " displacement_enc horsepower_enc weight_enc model_year_enc \n", - "0 16.660000 18.188000 17.225 18.78125 \n", - "1 14.673913 14.243478 17.225 18.78125 \n", - "2 14.673913 14.243478 17.225 18.78125 \n", - "3 16.660000 14.243478 17.225 18.78125 \n", - "4 16.660000 18.188000 17.225 18.78125 " + " horsepower_enc weight_enc acceleration_enc displacement_enc \n", + "0 18.769231 17.129167 16.185185 16.793333 \n", + "1 13.612500 17.129167 16.185185 15.035294 \n", + "2 14.380952 17.129167 16.185185 16.793333 \n", + "3 14.380952 17.129167 16.185185 16.793333 \n", + "4 18.769231 17.129167 16.185185 16.793333 " ] }, - "execution_count": 19, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -977,7 +1004,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -1012,42 +1039,42 @@ " \n", " 0\n", " acceleration\n", - " 8.0 - 12.5\n", - " 0.113924\n", - " 24.746835\n", - " 18.522222\n", + " 8.0 - 12.0\n", + " 0.112500\n", + " 23.540833\n", + " 16.185185\n", " \n", " \n", " 1\n", " acceleration\n", - " 12.5 - 13.4\n", - " 0.050633\n", - " 24.746835\n", - " 23.125000\n", + " 12.0 - 13.4\n", + " 0.095833\n", + " 23.540833\n", + " 18.069565\n", " \n", " \n", " 2\n", " acceleration\n", - " 13.4 - 14.2\n", - " 0.139241\n", - " 24.746835\n", - " 21.972727\n", + " 13.4 - 14.0\n", + " 0.095833\n", + " 23.540833\n", + " 17.560870\n", " \n", " \n", " 3\n", " acceleration\n", - " 14.2 - 14.9\n", - " 0.139241\n", - " 24.746835\n", - " 27.990909\n", + " 14.0 - 14.8\n", + " 0.104167\n", + " 23.540833\n", + " 26.832000\n", " \n", " \n", " 4\n", " acceleration\n", - " 14.9 - 15.5\n", - " 0.177215\n", - " 24.746835\n", - " 23.000000\n", + " 14.8 - 15.5\n", + " 0.129167\n", + " 23.540833\n", + " 23.645161\n", " \n", " \n", " ...\n", @@ -1060,73 +1087,73 @@ " \n", " 5\n", " weight\n", - " 2811.0 - 3110.0\n", - " 0.088608\n", - " 24.746835\n", - " 26.114286\n", + " 2792.0 - 3076.0\n", + " 0.100000\n", + " 23.540833\n", + " 22.729167\n", " \n", " \n", " 6\n", " weight\n", - " 3110.0 - 3426.0\n", - " 0.088608\n", - " 24.746835\n", - " 20.185714\n", + " 3076.0 - 3432.0\n", + " 0.100000\n", + " 23.540833\n", + " 19.800000\n", " \n", " \n", " 7\n", " weight\n", - " 3426.0 - 3872.0\n", - " 0.113924\n", - " 24.746835\n", - " 17.400000\n", + " 3432.0 - 3883.0\n", + " 0.100000\n", + " 23.540833\n", + " 17.129167\n", " \n", " \n", " 8\n", " weight\n", - " 3872.0 - 4338.0\n", - " 0.101266\n", - " 24.746835\n", - " 15.562500\n", + " 3883.0 - 4280.0\n", + " 0.100000\n", + " 23.540833\n", + " 15.250000\n", " \n", " \n", " 9\n", " weight\n", - " 4338.0 - 4997.0\n", - " 0.037975\n", - " 24.746835\n", - " 14.000000\n", + " 4280.0 - 5140.0\n", + " 0.100000\n", + " 23.540833\n", + " 13.229167\n", " \n", " \n", "\n", - "

135 rows × 5 columns

\n", + "

254 rows × 5 columns

\n", "" ], "text/plain": [ " variable label pop_size global_avg_target avg_target\n", - "0 acceleration 8.0 - 12.5 0.113924 24.746835 18.522222\n", - "1 acceleration 12.5 - 13.4 0.050633 24.746835 23.125000\n", - "2 acceleration 13.4 - 14.2 0.139241 24.746835 21.972727\n", - "3 acceleration 14.2 - 14.9 0.139241 24.746835 27.990909\n", - "4 acceleration 14.9 - 15.5 0.177215 24.746835 23.000000\n", + "0 acceleration 8.0 - 12.0 0.112500 23.540833 16.185185\n", + "1 acceleration 12.0 - 13.4 0.095833 23.540833 18.069565\n", + "2 acceleration 13.4 - 14.0 0.095833 23.540833 17.560870\n", + "3 acceleration 14.0 - 14.8 0.104167 23.540833 26.832000\n", + "4 acceleration 14.8 - 15.5 0.129167 23.540833 23.645161\n", ".. ... ... ... ... ...\n", - "5 weight 2811.0 - 3110.0 0.088608 24.746835 26.114286\n", - "6 weight 3110.0 - 3426.0 0.088608 24.746835 20.185714\n", - "7 weight 3426.0 - 3872.0 0.113924 24.746835 17.400000\n", - "8 weight 3872.0 - 4338.0 0.101266 24.746835 15.562500\n", - "9 weight 4338.0 - 4997.0 0.037975 24.746835 14.000000\n", + "5 weight 2792.0 - 3076.0 0.100000 23.540833 22.729167\n", + "6 weight 3076.0 - 3432.0 0.100000 23.540833 19.800000\n", + "7 weight 3432.0 - 3883.0 0.100000 23.540833 17.129167\n", + "8 weight 3883.0 - 4280.0 0.100000 23.540833 15.250000\n", + "9 weight 4280.0 - 5140.0 0.100000 23.540833 13.229167\n", "\n", - "[135 rows x 5 columns]" + "[254 rows x 5 columns]" ] }, - "execution_count": 20, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "predictor_list = [col for col in basetable.columns if col.endswith(\"_bin\") or col.endswith(\"_processed\")]\n", - "pig_tables = generate_pig_tables(basetable[basetable[\"split\"]==\"selection\"],\n", + "pig_tables = generate_pig_tables(basetable[basetable[\"split\"]==\"train\"],\n", " id_column_name=id_col,\n", " target_column_name=target_col,\n", " preprocessed_predictors=predictor_list)\n", @@ -1142,14 +1169,14 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 23, "metadata": { "scrolled": true }, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -1159,8 +1186,28 @@ } ], "source": [ - "col_order = list(basetable[\"acceleration_bin\"].unique().sort_values())\n", - "plot_incidence(pig_tables, variable=\"acceleration\", model_type=\"regression\", column_order=col_order)" + "col_order = list(basetable[\"horsepower_bin\"].unique().sort_values())\n", + "plot_incidence(pig_tables, variable=\"horsepower\", model_type=model_type, column_order=col_order)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['validation', 'train', 'selection'], dtype=object)" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "basetable[\"split\"].unique()" ] }, { @@ -1190,7 +1237,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -1206,7 +1253,7 @@ " 'weight_bin']" ] }, - "execution_count": 22, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -1228,7 +1275,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -1244,12 +1291,12 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 27, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -1264,15 +1311,15 @@ " target_enc_selection_data=basetable[basetable[\"split\"]==\"selection\"],\n", " predictors=preprocessed_predictors,\n", " target_column=target_col,\n", - " model_type=\"regression\",\n", + " model_type=model_type,\n", " preselect_rmse_threshold=10, # max. RMSE for selection\n", " preselect_overtrain_threshold=10) # difference between RMSE on train and selection set\n", "\n", - "plot_univariate_predictor_quality(df_rmse)\n", + "# as the square root of a variance, RMSE can be interpreted as the standard deviation of \n", + "# the unexplained variance, and has the useful property of being in the same unit as the response variable\n", + "# lower values of RMSE indicate better fit\n", "\n", - "# As the square root of a variance, RMSE can be interpreted as the standard deviation of \n", - "# the unexplained variance, and has the useful property of being in the same units as the response variable. \n", - "# Lower values of RMSE indicate better fit." + "plot_univariate_predictor_quality(df_rmse)" ] }, { @@ -1284,32 +1331,32 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 28, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - " origin name cylinders acceleration displacement \\\n", - "origin 1.000000 0.605342 0.643212 0.279890 0.710813 \n", - "name 0.605342 1.000000 0.818558 0.497936 0.854124 \n", - "cylinders 0.643212 0.818558 1.000000 0.546624 0.915946 \n", - "acceleration 0.279890 0.497936 0.546624 1.000000 0.544408 \n", - "displacement 0.710813 0.854124 0.915946 0.544408 1.000000 \n", - "horsepower 0.536827 0.849631 0.804520 0.648119 0.880200 \n", - "weight 0.627180 0.855681 0.881700 0.478272 0.940863 \n", - "model_year 0.230794 0.643975 0.430153 0.371497 0.409101 \n", + " origin name cylinders model_year horsepower weight \\\n", + "origin 1.000000 0.562702 0.550413 0.169058 0.517409 0.592037 \n", + "name 0.562702 1.000000 0.798929 0.591282 0.832600 0.854352 \n", + "cylinders 0.550413 0.798929 1.000000 0.344348 0.812487 0.876777 \n", + "model_year 0.169058 0.591282 0.344348 1.000000 0.397575 0.300008 \n", + "horsepower 0.517409 0.832600 0.812487 0.397575 1.000000 0.878684 \n", + "weight 0.592037 0.854352 0.876777 0.300008 0.878684 1.000000 \n", + "acceleration 0.292586 0.561621 0.640407 0.347110 0.695982 0.550888 \n", + "displacement 0.654441 0.835537 0.895527 0.334152 0.879012 0.941594 \n", "\n", - " horsepower weight model_year \n", - "origin 0.536827 0.627180 0.230794 \n", - "name 0.849631 0.855681 0.643975 \n", - "cylinders 0.804520 0.881700 0.430153 \n", - "acceleration 0.648119 0.478272 0.371497 \n", - "displacement 0.880200 0.940863 0.409101 \n", - "horsepower 1.000000 0.870223 0.499351 \n", - "weight 0.870223 1.000000 0.373358 \n", - "model_year 0.499351 0.373358 1.000000 \n" + " acceleration displacement \n", + "origin 0.292586 0.654441 \n", + "name 0.561621 0.835537 \n", + "cylinders 0.640407 0.895527 \n", + "model_year 0.347110 0.334152 \n", + "horsepower 0.695982 0.879012 \n", + "weight 0.550888 0.941594 \n", + "acceleration 1.000000 0.586090 \n", + "displacement 0.586090 1.000000 \n" ] } ], @@ -1323,12 +1370,12 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 29, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -1353,23 +1400,23 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['weight_enc',\n", + " 'displacement_enc',\n", " 'horsepower_enc',\n", " 'cylinders_enc',\n", - " 'displacement_enc',\n", - " 'model_year_enc',\n", " 'origin_enc',\n", - " 'acceleration_enc',\n", - " 'name_enc']" + " 'model_year_enc',\n", + " 'name_enc',\n", + " 'acceleration_enc']" ] }, - "execution_count": 27, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -1390,18 +1437,18 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Modeling" + "## Modelling" ] }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 31, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "022af5cc021143dea492e60f0108227f", + "model_id": "b880e76c4a514c4695075eea9e974210", "version_major": 2, "version_minor": 0 }, @@ -1444,74 +1491,47 @@ " \n", " \n", " 0\n", - " [name_enc]\n", - " name_enc\n", - " 1.210750\n", - " 7.172305\n", - " 6.156961\n", + " [weight_enc]\n", + " weight_enc\n", + " 4.225088\n", + " 4.006856\n", + " 4.348181\n", " regression\n", " \n", " \n", " 1\n", - " [name_enc, model_year_enc]\n", + " [weight_enc, model_year_enc]\n", " model_year_enc\n", - " 1.190524\n", - " 7.002583\n", - " 6.033176\n", + " 3.000421\n", + " 2.963771\n", + " 3.132604\n", " regression\n", " \n", " \n", " 2\n", - " [name_enc, model_year_enc, weight_enc]\n", - " weight_enc\n", - " 1.153409\n", - " 6.520763\n", - " 5.505019\n", + " [model_year_enc, weight_enc, horsepower_enc]\n", + " horsepower_enc\n", + " 2.910080\n", + " 2.850227\n", + " 3.044059\n", " regression\n", " \n", " \n", " 3\n", - " [weight_enc, name_enc, model_year_enc, horsepo...\n", - " horsepower_enc\n", - " 1.148468\n", - " 6.479577\n", - " 5.472030\n", + " [model_year_enc, weight_enc, horsepower_enc, o...\n", + " origin_enc\n", + " 2.859103\n", + " 2.737770\n", + " 2.937309\n", " regression\n", " \n", " \n", " 4\n", - " [horsepower_enc, weight_enc, name_enc, model_y...\n", - " acceleration_enc\n", - " 1.137532\n", - " 6.459645\n", - " 5.485417\n", - " regression\n", - " \n", - " \n", - " 5\n", - " [horsepower_enc, acceleration_enc, weight_enc,...\n", - " displacement_enc\n", - " 1.135331\n", - " 6.434603\n", - " 5.460676\n", - " regression\n", - " \n", - " \n", - " 6\n", - " [displacement_enc, horsepower_enc, acceleratio...\n", + " [model_year_enc, weight_enc, origin_enc, horse...\n", " cylinders_enc\n", - " 1.134848\n", - " 6.442906\n", - " 5.463855\n", - " regression\n", - " \n", - " \n", - " 7\n", - " [displacement_enc, horsepower_enc, cylinders_e...\n", - " origin_enc\n", - " 1.134675\n", - " 6.449028\n", - " 5.471073\n", + " 2.857995\n", + " 2.713305\n", + " 2.934307\n", " regression\n", " \n", " \n", @@ -1520,50 +1540,40 @@ ], "text/plain": [ " predictors last_added_predictor \\\n", - "0 [name_enc] name_enc \n", - "1 [name_enc, model_year_enc] model_year_enc \n", - "2 [name_enc, model_year_enc, weight_enc] weight_enc \n", - "3 [weight_enc, name_enc, model_year_enc, horsepo... horsepower_enc \n", - "4 [horsepower_enc, weight_enc, name_enc, model_y... acceleration_enc \n", - "5 [horsepower_enc, acceleration_enc, weight_enc,... displacement_enc \n", - "6 [displacement_enc, horsepower_enc, acceleratio... cylinders_enc \n", - "7 [displacement_enc, horsepower_enc, cylinders_e... origin_enc \n", + "0 [weight_enc] weight_enc \n", + "1 [weight_enc, model_year_enc] model_year_enc \n", + "2 [model_year_enc, weight_enc, horsepower_enc] horsepower_enc \n", + "3 [model_year_enc, weight_enc, horsepower_enc, o... origin_enc \n", + "4 [model_year_enc, weight_enc, origin_enc, horse... cylinders_enc \n", "\n", " train_performance selection_performance validation_performance \\\n", - "0 1.210750 7.172305 6.156961 \n", - "1 1.190524 7.002583 6.033176 \n", - "2 1.153409 6.520763 5.505019 \n", - "3 1.148468 6.479577 5.472030 \n", - "4 1.137532 6.459645 5.485417 \n", - "5 1.135331 6.434603 5.460676 \n", - "6 1.134848 6.442906 5.463855 \n", - "7 1.134675 6.449028 5.471073 \n", + "0 4.225088 4.006856 4.348181 \n", + "1 3.000421 2.963771 3.132604 \n", + "2 2.910080 2.850227 3.044059 \n", + "3 2.859103 2.737770 2.937309 \n", + "4 2.857995 2.713305 2.934307 \n", "\n", " model_type \n", "0 regression \n", "1 regression \n", "2 regression \n", "3 regression \n", - "4 regression \n", - "5 regression \n", - "6 regression \n", - "7 regression " + "4 regression " ] }, - "execution_count": 28, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "forward_selection = ForwardFeatureSelection(model_type=\"regression\",\n", - " # model_name=\"linear-regression\",\n", - " max_predictors=30,\n", + "forward_selection = ForwardFeatureSelection(model_type=model_type,\n", + " # model_name=\"my-linear-regression\",\n", " pos_only=True)\n", "\n", - "# fit the forward feature selection on the train data\n", - "# has optional parameters to force and/or exclude certain predictors (see docs)\n", - "forward_selection.fit(basetable[basetable[\"split\"]==\"train\"],\n", + "# fit the forward feature selection on the train and selection data\n", + "# there are optional parameters to force and/or exclude certain predictors (see docs)\n", + "forward_selection.fit(basetable[basetable[\"split\"]!=\"validation\"],\n", " target_column_name=target_col,\n", " predictors=preselected_predictors)\n", "\n", @@ -1582,12 +1592,12 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 32, "metadata": {}, "outputs": [ { "data": { - "image/png": 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PntT+bm5ujiJFiqBJkybo27cvmjZtqp139+5dAOpuB2fOnNHbjuZDMXlfP0dHR4PKcf/+fQDqD97kHBwc4OTkhICAAERHR8POzk5bVt1uG7oqVqyo97u1tTUA9T9vmUymN8/S0hJRUVHa36tVq4Zq1aohNjYWt2/fxrNnz/D06VPcuXMHz549g1KpTLG/SpUqpZimKadcLtd7jbpdODR0w/l///0HQN0PUTdYAtB+xavZVmri4+Px7Nkz1KtXD5aWlnrzbGxsMHbs2DTXNURqf9POnTtj9+7dOHTokDYYHTx4EBYWFvjss88AqEcpEAQBkZGRWL58eYptmJub49WrV3jz5g1KlSqF9u3b4+DBg2jZsiVq166N5s2bo2XLllkO8UFBQUhISECdOnX0gpSGl5cXjh49ivv376NBgwZpvt7ChQvD09MTV65cgSAIUKlUuHbtGry9vWFmZoarV69qX8P58+dRtWpV7TacnJzg5OSExMRE3L59G0FBQXj+/Dnu3r2r7UOb/PhKvv/g4GDExcWhRo0aKV5DjRo1YG5unqX6ATL3Hi9dujS6desGhUKBu3fval9LQEAA/v33XwAfA2ZOSl4fmT2uUtOtWzds3boVCxYswKZNm9C8eXM0b94cTZo00X52ANl7b8bGxiIoKAglSpTAb7/9lmL+27dvAajrt2rVqrh//z7Kli2boswSiSTTQ1rGxMQgODgYderUga2tbYr5Xl5eWLNmTYqyG/K5RiQGBmHKNXPmzEl1+LTUREdHAwBWr16d5jLJW7OSB7G0aPqspvYhDQAlS5ZEQEAA4uPjtR/EVlZWaW5PtzVLlyEjCCQmJmLRokXYvn279qKQUqVKoV69eihatKheC2V629W0xAqCAADasJ3Wa9TQ1PO2bdvSXCZ5PesydD9ZlVq9N2jQAKVLl9YG4YiICFy6dAmtWrWCvb29Xrlu3bqFW7dupbn9yMhIlCpVCvPmzUONGjWwe/duXL16FVevXsWCBQtQo0YNzJw5M82+kGnRHGOa4ye5kiVLAgASEhIyfL0tWrTAjRs38ODBAyQmJiImJgb169eHmZkZ/vzzT1y7dg0NGjTA/fv3MXjwYO16KpUKv//+O9auXav9GxYrVgy1a9dGuXLlEBgYqD1eNJK/hzTr2djYpCiXTCbL1t89s+/xbdu2YeXKlQgNDQWg7n/s6ekJZ2dn3L59O8VryQnJ/x6ZPa5S4+bmhh07dmDVqlU4e/YsduzYgR07dsDa2hr9+/fH999/D4lEkq33pub4CwsLw4oVKzJcPyoqCsWLF09zuczQXFCY2WPfkM81IjEwCFOeZG1tDZlMhtu3b2er1Sk1mn/qmn+oyWn+2RUpUiRH95uauXPnYsuWLfjss8/Qt29fuLq6avf7+eefpxqEDaFpWYqNjU0xZFVCQgIsLCwglUq1y504cQLly5fP1n5SExcXp11G808tectdZq8Kl0ql6NChA/766y/cv38ft2/fhkKh0LtbmWafI0aMSPF1emrMzc0xaNAgDBo0CC9fvsTFixdx5MgRXLhwAcOGDcPJkyczdRxqjrE3b96kOj8zx1jz5s2xePFiXLp0CXK5HFKpFPXq1YNUKoVMJsO1a9egUCggCILe1/Vr1qzBkiVLUL9+fQwZMgTu7u7abg9ff/01AgMDM9x34cKFAXwMrboEQcjWFf2ZeY8fPnwYU6ZMgaurK6ZMmYLq1aujTJkyAIApU6akeuFhcjlx/GX2uEqLm5sblixZgqSkJNy8eRPnzp3D7t27sWrVKpQqVQp9+vTJ1ntTs27dunX1Ls5Nb3lD3sOGyMljnyg3sI8w5Umurq5QKpWpDnV069YtLFiwIEX/SkNpWvc0Q0PpiomJQUBAACpWrJgrY8IeOHAAxYoVw9KlS9GgQQPtP4eEhATt8FRZaQ1xcXEBoB4iLrmZM2fC09MTwcHB2qG+kvdXBICnT59i3rx5OHXqVJr7sbOzQ5kyZRAQEJBipI2kpCQ0adIEgwYNAgBt2EkePJIPAWYITV/gkydP4siRI7C3t9cLgZrXpfl6Oblly5Zh9erVSEpKQnBwMBYtWoTTp08DAMqWLasd7aFhw4Z48+YNXrx4kanyVa5cGZaWlrhz506qd9zS9O01pOtFtWrVUKJECVy+fBk3btyAq6sr7O3tYWtri+rVq+PatWs4f/48ChcurNfH8sCBA5DJZPjtt9/QvHlzbQgWBEE7/FxGx1aFChVgZ2eHmzdvppj3+PHjFK16mZGZ9/iBAwcAAAsXLkTr1q21IRiAwa8lJ46/zBxXadm7dy9mzJgBQRBgYWGBBg0aYOzYsdquFprPpey8N+3s7FC2bNk0/0Z79+7F8uXLtce1i4sLXr58meqJd9euXbVdjnSvAUiLra0tHB0d8fTp01SvccjMsU+UGxiEKU/SXJgze/ZsveG3YmJiMHXqVPzxxx+p9p81ROvWrWFnZ4ctW7Zo+ykC6rFkZ82ahYSEBL0xRcVkaWmJxMREvX7DSqVSWw4ga/3jOnbsCKlUilWrVmmH2gLU//QPHz6M8uXLo3z58ujcuTNkMhmWLFmi909QoVBgxowZWLNmTYqxnZPr3LkzoqOjsXLlSr3pGzZsQFxcHBo1agRAHQ4BaAMnoG6dM2SItuTc3Nzg4uKCQ4cO4erVq/jss8/0TlzKly+PevXq4dy5cynGXN27dy9WrlyJ8+fPw8LCAlZWVvjjjz+wdOlSvQCTlJSEsLAwWFhYGHQRpi4LCwt06NABoaGhWLZsmd68c+fO4fDhw6hYsaLBFyE1b94c165dw82bN1G/fn3t9Pr16yMwMBBnzpxB06ZN9S5MsrS0hFKpTBFGVq5cqb1gM/mY1smZm5ujY8eOeP78uXZsbEBdN1m5iFBXZt7jmi4bmr6tGnv37tX2d9Z9LZrQq/veyYnjLzPHVVpu3bqFTZs2pbjYVxNKy5YtCwDZfm9269YNkZGRWLBggV4r+OPHjzF9+nSsXbtWe+LduXNnCIKABQsW6H2uHj58GM+ePdO+hzXHV0afSd26dUNCQgJmz56t93e5e/cuNm3aBHt7+xTjYxMZC7tGUJ7UsGFD+Pj4YOPGjejQoQNatGgBCwsLnDhxAq9evUKvXr30LjLKDFtbW8yePRs//PADevXqhTZt2qBYsWK4fPkyHj58iLp16+qNSyqmTp06Yc2aNfjiiy/QunVrKBQKXLhwAUFBQXBwcMC7d+8QGRmp7VdnKGdnZ4waNQrLli1Dly5d0LJlSwiCgEOHDiExMRFz584FoL5AZezYsZg7dy46duyIVq1aoXDhwjh37hwCAwPRsmVLbetrWoYNG4YzZ85g1apVuHbtGjw9PfHkyROcOXMGHh4e2lELOnbsiKVLl+Kvv/5CcHAwHB0dcfHiRURHR2v/+WdG586dsWDBAm09Jjd9+nT07dsX3333HZo3b46qVasiKCgIZ86cQZEiRTBlyhQAQIkSJfDVV19h7dq16NixI1q0aAGpVIrz588jMDAQI0aMyFJf2LFjx+LGjRv4448/cO3aNdSuXRvBwcE4deoUbGxsMH/+fINa2AB1P2HNSCbJg/Cff/6JmJgY7WgRuvVz69Yt9O7dG59//jnMzc1x5coV3L17F8WKFUN4eHiGJzkA8MMPP+DSpUuYO3cuLly4AGdnZ1y6dAmRkZEG98tPTWbe4507d8bBgwcxatQodOjQAba2trhz5w6uXr2a6mvR9M+dOHEimjRpoh2fOyeOP0OPq7R8/fXXOHz4MH788UccOXIEFStWREhICI4dO4YSJUqgX79+ALL/3hw6dCguXLiAjRs3ws/PD/Xr10dUVBSOHDmC+Ph4LFiwQHtce3t749ixY9i7dy8ePHiABg0a4M2bNzh27BgcHR21F8wVLVoUFhYWuHLlCubMmYM2bdqkuJEGoB6/+cKFC9i/fz8ePHiAhg0bIjw8HCdOnIAgCFi8eLFo1xUQZRZbhCnP+vnnn/HLL7+gTJky2LdvH/bs2YPixYtj9uzZGf6zyUjbtm2xZcsWNGnSBOfPn8eOHTsAAOPGjcO6dety7Va5P/zwA7799ltIpVJs2bIFJ06cQLly5fDXX39h+PDhAICzZ89madsjR47E4sWLUaZMGfzzzz/Yv38/PDw8sGnTJnh4eGiXGzhwIFavXg03NzccO3YM27dvh5mZGSZMmIBly5bptTKmxsbGBlu2bMHgwYPx+vVrbNiwAXfv3kW/fv2wZs0abV0WL14cGzZsQKNGjXDu3Dns3LkTzs7O2LJli/Yit8zo1KkTpFIpSpcuneoIIJUrV8bu3bvx5Zdf4sGDB9iwYQMePHiALl26YNeuXXpfzY4dOxZTp06Fra0t9uzZgx07dsDGxibVIbsM5eDggB07dmDQoEEICwvDpk2bcOfOHXTt2hW7d++Gp6enwdtq0qQJzM3Ntf2DNerWrQszMzNIpVI0a9ZMb50+ffrgf//7H4oUKYKdO3di//79sLGxwaJFizB9+nQAhh1bhQsXxtatW9GrVy88ePAA27dvR/HixXPkfWLoe/yTTz7B4sWLUaFCBezfvx979uxBYmIiJk+ejD///DPFaxk+fDg8PT1x8eJFbR/ZnDr+MnNcpcbR0RFbt25F+/bt8d9//2Ht2rW4du0aOnfujB07duhdZJed96aVlRU2bNiAb7/9FomJidiyZQvOnj2LOnXqYMOGDejYsaN2WU0Xmu+//x4JCQnYvHkzLl++jE6dOmHLli3avuIWFhaYPHkyChcujC1btqR6B0BA3YK/bt06jB49GnK5HFu3bsXly5fRsmVLbN++XW+4SSJjkwi8HJOIiIiITBBbhImIiIjIJDEIExEREZFJYhAmIiIiIpPEIExEREREJolBmIiIiIhMEoMwEREREZkkBmEiIiIiMkkMwkRERERkkhiEiYiIiMgkMQgTERERkUliECYiIiIik8QgTEREREQmiUGYiIiIiEwSgzARERERmSQGYSIiIiIySQzCRERERGSSGISJiIiIyCQxCBMRERGRSWIQJiIiIiKTxCBMRERERCaJQZiIiIiITBKDMBERERGZJAZhIiIiIjJJDMJEREREZJIYhImIiIjIJDEIExEREZFJYhAmIiIiIpPEIExEREREJolBmIiIiIhMEoMwEREREZkkBmEiIiIiMkkMwkRERERkkhiEiYiIiMgkMQgTERERkUliECYiIiIik8QgTEREREQmiUGYiIiIiEwSgzARERERmSQGYSIiIiIySQzCRERERGSSGISJiIiIyCSZGWOnfn5+xtgtEREREZkgLy+vVKcbJQgDaRdIbAEBAXB3dzfKvgs61q14WLfiYd2Kh3UrHtateFi34jBmvabXAMuuEURERERkkhiEiYiIiMgkMQgTERERkUliECYiIiIik8QgTEREREQmiUGYiIiIiEwSgzARERERmSQGYSIiIiIySQzCRERERGSSGISJiIiIyCQxCBMRERGRSWIQJiIiIiKTxCBMRERERCaJQZiIiIiITBKDMBERERGZJAZhIiIiIjJJDMJEREREZJIYhImIiIjIJDEIExEREZFJYhAmIiIiIpPEIExEREREJolBmIiIiIhMEoMwEREREZkkBmEiIiIiMkkMwkRERERkkhiEiYiIiMgkMQgTERERkUliECYiIiIik8QgTEREREQmiUGYiIiIiEwSgzARERERmSQGYSIiIiIySQzCRERERGSSGISJiIiIyCQxCBMRERGRSTIzdgFyxftA4NZC4OEmuMljgAu2gEs/oJYvUNjZ2KUjIiIiIiMo+C3Czw4D2z2Ae38C8mhIIADyaPXv2z3U84mIiIjI5BTsIPw+EDjqDSjiAEGuP0+Qq6cf9VYvR0REREQmpWAH4VsLAaU8/WUUCcCZIcDzY8C7u0Die0AQcqd8RERERGQ0BbuP8MNNKVuCU1ABIafVDw0zG8DWEbApp35onuv+LFQSkBTs8wgiIiKigqxgB2F5TNbWU8QCkQ/Uj7RIzQDrMoCNI2BbTv0zRWguC8gss1YGIiIiIhJVwQ7C5rbqC+MyIjUHSjcBYkOA2BeAIj7jdVQKICZY/XiTznJWxXVal5OH5g/PLewBicTgl0VERERE2Vewg7BLP/XoEOl1j5CYA9WGAs1XqH8XBCAxUh2IY0OAmGQ/Nc8T3xlWhoS36sfbW2kvo9sVI/lPdsUgIiIiEkXBDsK1fIEH6wFFOkFYZg54/vDxd4kEsCqqfhSrmfZ6ivgPoTgkZWjWPI97BQiqjMtpcFeMsqmHZHbFICIiIsq0gh2ECzsDn+1SD5GmlOu3DEvM1SH4s11Zu6mGWSGgcBX1Iy0qBRD3JvWQHKsToA3uivFc/UivK0ahEh+7Yeh2v9ANzTnZFYM3KyEiIqJ8qmAHYQCo+DnQ0x+4vRh4uBFCUjQkFnaAi4+6JVjMsCY1UwdR23JAqfqpLyMIQGJEypCc/KehXTHiw9SP9LpimNumPSKGph+zIV0xnh3WO8mQAB9vVvJgvfoko+LnhpWbiIiIKJeJEoR3796NPXv2AAASExMREBCAixcvwt7eXozdZayws7oPcPMVuB8QAHd3d+OUIzUSCWDloH6k1xVDHgfEvUy9K4bmp6FdMeQxWeuKoftTpfh4s5LkBLm6O8pRb/VJCFuGiYiIKA8SJQh3794d3bt3BwBMmzYNX3zxhfFCcEFhbp3FrhgvPoRnkbpipEcpV7fEay5EJCIiIspDRO0acefOHTx+/BhTpkwRczekkdmuGGmNiJGZrhjpEeTAg40MwkRERJQnSQRBvPsJjxo1Cv369UPDhg31pvv5+cHa2lqs3aYrISEBVlZWRtl3fiJRxsMsMRTmiW9glvhG+9MsKRTmCa9hFX0HhlxuJwCILtEGMcVaIqZYCygtiopd9AKJx614WLfiYd2Kh3UrHtatOIxZr3FxcfDy8kp1nmgtwlFRUQgKCkoRgjWM1U83IK/1Ec6v/rA36GYlEgD2YcdhH3ZcffFd6cZApc7qR1FX8ctZQPC4FQ/rVjysW/GwbsXDuhWHMevVz88vzXmi3aHh2rVraNSokVibJ2Nz6acegi4zBBXw6gJwaRyw1Q3Y4gr8OxZ4eV7dJ5mIiIgoF4kWhIOCguDo6CjW5snYavmqx2FOj5k10OEI0HCuuiU4eWeKyIfArQXA3ubA2lLAif5A4C4gyYDbYhMRERFlk2hdI77++muxNk15gaE3K6n4mfpRZzwQFwo8Owg83QcEH9Mfei3xHfBwo/ohtQDKtQScOgMVOwF25XP/9REREVGBV/BvqEHiyezNSqxLAu4D1Q9FPBByGgjapw7Gca8+LqdKAoKPqh8YCRSvDVTqpO5XXKJOzt0Vj4iIiEwagzBlT1ZvVmJWCKjYXv0QfgXCbqgDcdA+IPy2/rJvb6of16erb+ihCcXlWgJmvLKXiIiIsoZBmIxPIgVK1lU/6k8Hop8BT/erHyGnAZVOt4vYEODuKvXDzAao8Jk6FFdsDxQqYbzXQERERPkOgzDlPXYVgZqj1I+kKOD5UXVr8bOD6puBaChigSe71Q/t0GwfWouLuLILBREREaWLQZjyNgt7oEoP9UOlAF5dVIfip/uA948/LqcZmu3VBeDSeKBwVXUgduqsDshSHupERESkj+mA8g+pGVCuhfrReAEQ+eBjv+LX/0J9H7sP3j8Cbi9UPywdgIod1KG4fFt1uCYiIiKTxyBM+ZNEAhR1Uz9qj1MPzfb8kDoUBx9NZ2g2c/VFdpU6q7tR2FUw3msgIiIio2IQpoLBuiTgNkD9UCQAIac+XHC3D4h9+XE5lVw9hnHwMeD8KKB4rY+3fObQbERERCaFQZgKHjOrj0OzNdcZmu3pPuDtLf1l395SP/SGZusElGvFodmIiIgKOAZhKtgkEqCkl/pRfxoQ/fxjS3FGQ7OVb/vh7nYdODQbERFRAcQgTKbFrgJQc6T6kRSl7iIRpBma7d3H5RSxQNAe9QMS9cgTTp05NBsREVEBwiBMpsvCHnD2Vj9UCvXIE0H7gKf/6A/NBgF4fVH90A7N9mG84jJNODQbERFRPsX/4ESAOsyWba5+NJ7/cWi2p/vVAVlQfVz2/SPg9iL1w7KouutEpc7qu9xxaDYiIqJ8g0GYKLnkQ7PFhwHPDqmD8fOj6m4TGokRwMNN6geHZiMiIspXGISJMlKoBOD2lfqhSFBfZKcZhSK9odmKeX7sV1yijvo20ERERJRnMAgTZYaZFVDxc/Wj+a/A25sf+hXvUz/XFX5b/bg+A7ApC1TspA7GHJqNiIgoT2AQJsoqiUTd0luiDlB/qnpotmcH1ME45FSyodleAvd+Vz/MrIHyn2U8NNv7QODWQuDhJrjJY4ALtoBLP6CWL1DYOVdeIhERUUHGIEyUU+wqADVGqB+aodme7geeHkg2NFtcsqHZGn28u11RN3XAfnYYOOoNKOWAIIcEAOTRwL0/gQfrgc92qVuliYiIKMsYhInEkGJotkvq7hNB/6hHndAS1KNSvP4XuDwBKFwFKNMceLQFUCak3K4gBxRydUju6c+WYSIiomxgECYSm9QMKNtM/Wg8H4h48PFiuxRDsz1ONoZxGpRJwI05QLPlgMySF+JlFrudEBERGISJcl9RV6DoWKD2WCD+rc7QbEf0h2ZLj6AAAv5SPwBAIlMHYpklILX48NwilWnJnsssAKll5pY3ZL5mutQ8792Fj91OxMWTDCLSyAefBxJBEITc3qmfnx+8vLxye7cAgICAALi7uxtl3wUd6zabFAnAyzPAgQIWwjIbvlMN3ukE9QzDvM782BBgT1N1P+20mFmz20lWJTvJ0JKYAzJznmRkl06oEOQxkJjnvVCRb7Fuc14e+jxIL3eyRZgorzCzAiq0A8zt1C2UhpBZAcpEALl+Pms4ZaL6YehrMjZFHLC9FmBdQt3SLjEDpLIPz2Xqri7a5x/ma5+nsozu79I05huyTIr9GrJMsrIbskxq+9Euk04XnPeB6n96qZ1ksG979vGbDPGwbnNePvo8YBAmymtc+qk/gHXPoJOTmAPVhwLNVwCCoL4gT5X0MXTqPld+eK7SeZ7aMqpkyydfJqNtprY9lSL36i0nKWKAqBhjlyJvSitMy2MBZXz66yri1C3yRdzU25CafQjZ5sl+z+ZziZm6xcmQ5TKzfan5h9edy9198lGoyHfEqFtBACCk/GnotEwtj1zYRxaWv734QyNNOpRy9XLNVxhWryJhECbKa2r5qlshFOkEYZk54PmD+rlEov5dZg6Y2+ROGQ0lqDIXrDMbvtNcPo35CW+NXSP5n6AElMqsrx/3Wv3Iz7QnA9kN7QaeAIScUXedSo8iATjWU/2tkiB8uAhX96cAQKUTWHSm58gyGayX3jLJt5feMpkpqyHlSopKfYQevbqNA7a4qv9eGYZCMpggBx5uZBAmomQKO6u/isuob1V+aPmRSNVdPvLKnfT+sDesi4a5LfDlLXXoUykBQaHzXKlu6RaUHx85vYxKd5oByyRfLrV95cQy/Eevpj0ZyKDFK1epgDA/9YNyXnZPACl1Scb/5o1BmCgvqvi5+qu424uBhxshJEVDYmEHuPioW4LzQwjOiwztduL6Fes4NYKQdljeVBmQG/BPzcwG6LD/Q3cexYdQn9nn8myur7ONjJZLbRqRQSQfutHo/DR0mkHLI4e2k8PbkEiAVxfVnw8ZsbDNRv3mDAZhoryqsLP6K6PmK3CfI3LkjMx2OyF9EsnHr+2Tc/Ex7CTDbQBQrqVoRRSd5mv13Azkl3/KuL8loB4dpe7P0IYRifTjc0h1goo0a8topqdYJqvrGbhM8nLl1OuRSIDNVQ07gTO3Bwa8ykRwNHFnRxj2eeDik3tlSgODMBGZjoLU7SSvMZWTDIkEkMgAfBi7OzdEPjIsVFT7+kMQJoMZegLn6gOYW+deufK7fPR5wNtREZFp0XQ7qT4UsLCHAIn6ltjVh6qnc5ikrNGcZJhZq4ODLom5ejpPMrKmlq86NKQnj4SKfId1K4589HnAIExEpkfT7eTr97jf8i7w9Xv173ngQzlf40mGOPJRqMh3WLfiySefB+waQUREOYd928XBC2jFw7oVTz74PGAQJiIiyg/yQajIt1i3JotdI4iIiIjIJDEIExEREZFJYhAmIiIiIpNkEn2E34VG49Kxe/C/EoSkBDksrG7Do4ETGrWtBoeSdsYuHhEREREZQYEPwo/uhGDnqrNQKlVQKQUAQFKCHDcuPMLtS4HoMbwFqtYsZ+RSEhEREVFuK9BdI96FRmPnqrOQJym1IVhDpRQgT1Ji56qzeBcabaQSEhEREZGxFOggfOnYPSiVqnSXUSpVuHz8Xi6ViIiIiIjyigLdNcL/SlCKluDkVEoB188+QsTbGFjbWqKQrSWsba1gbWv54fHhuZ0lCllbQmZWoM8diIiIiExGgQ7CSQlyg5YTBAGP/3tp0LJW1hY6IVkdlAvp/m6nH6ILWVtAIpVk52UQERERkQgKdBC2sDI3OAwbKiEuCQlxSQb3K5ZIJChkY6HXulzILllrc7LWZ8tC5pBIGJ6JiIiIxFSgg7BHAyfcuPAo3e4RUqkErrXKo1ZjZ8TFJCIuJuHDz+TPExEfmwik39MiBUEQtOsDUQatI5VJUoTkQqmFZruPv5tbmBklPHNoOiIiIsqvCnQQbtS2Gm5fCoRKqUxzGZmZFK2/qGNQaFOpVEiITUozKMdFJ/s9JgGJ8ZlvkVYpBcS8j0fM+3iD1zEzl6XdZcPOCjbJum4UsrGEmbks02XTxaHpiIiIKD8r0EHYoaQdegxvkSKsAepWV5lMih7DWxjccimVStVB0s7K4DIoFUrExybph+boVEK0zu/yREWmX6tCrkRURByiIuIMXsfCyjzVrhmaiwNTtErbWEIqU18sqDs0XXIqpQCVUj003fApndgyTERERHlSgQ7CAFC1ZjkMn9IJl4/fg//lICQmyGFpZQ6Phk5o2Eb8r+9lZjLYFi4E28KFDF5HnqRAfBohWe/36I+/KxXpDxOXmqQEOZIS5Ih8G2PwOpqLBRMT5KmGYF2aoena922Q6bIRERERiU20IPz777/j1KlTkMvl6N27N3r06CHWrjLkUNIO7fs2QPu+DRAQEAB3d3ejlcUQ5hZmMHcwg72DjUHLC4IAeaIi9eCcSncNzXNBlckOz/h4saAhVEoB/peDGISJiIgoTxIlCF+5cgU3b97E1q1bER8fjzVr1oixG/pAIpHAwsocFlbmKFLc1qB1BEFAYrxcHYyj02p9zv7FgokJcgQFvEJFl1LabhVEREREeYEoQfjChQtwcXHByJEjERMTg3HjxomxG8oGiUQCK2sLWFlbwKGkYevoXiy4eubBDLtGaGxYdALWdpZwr10B1etWZCgmIiKiPEEiCELmvx/PwM8//4yXL19i1apVePHiBb755hscOXJEO7yXn58frK2tc3q3BklISICVleEXu1Hq/E4+w5M7YRAy3zUZloXM4Fi1KBxdiqKEox2kvOFIhnjciod1Kx7WrXhYt+Jh3YrDmPUaFxcHLy+vVOeJ0iJcpEgRVK5cGRYWFqhcuTIsLS3x7t07FCtWTLuMsfrp5oc+wvlBqWKOWBWwP91WYTMzKarVrYgnAa/1hoJLjFcg0D8Mgf5h6pbiOhVR3asCW4rTweNWPKxb8bBuxcO6FQ/rVhzGrFc/P78054kShL28vLBhwwYMHDgQoaGhiI+PR5EiRcTYFRmJoUPTVa1ZDoJKwPPHobjn9wz3/J7rheK46ET4nX0Iv7MPYWNnBbc6FRiKiYiIKFeIEoRbtmyJa9euwdvbG4IgYPLkyZDJsnfzBsp7DB2aTiKVoKJLKVR0KYV2PeulGYpjoxMYiomIiCjXiDZ8Gi+QMw2ZHZoutVB89/ozBNwwMBS7loJUylBMRERE2Vfgb6hBeZduKP68VyZDcd2KqOhSkqGYiIiIsoxBmPIEhmIiIiLKbQzClOfodZ/oVRfBj8MYiomIiCjHMQhTniaVSrMUit29KqCaF0MxERERpY1BmPKNzITi62ce4voZhmIiIiJKG4Mw5UtZCsX2VnCvw1BMREREagzClO8ZHIqjGIqJiIjoIwZhKlAYiomIiMhQDMJUYCUPxc8fheGen2GhuHrdiqhQlaGYiIioIGMQJpMglUpRybUUKrkyFBMREZEagzCZHIZiIiIiAhiEycSlFYrv+T1DbFSCdjmGYiIiooKHQZjoA4ZiIiIi08IgTJSK1ELx3etPEXDjOUMxERFRAcEgTJQB3VD8ee96DMVEREQFBIMwUSakDMWh2nGKGYqJiIjyFwZhoixSh+LSqORaOguhuBIqVC3BUExERGREDMJEOUCMUPwuNBqXjt2D/5UgJCXIYWF1Gx4NnNCobTU4lLTL7ZdIRERU4DAIE+WwrIRi28KFtLd5rlC1BALvvsLOVWehVKqgUgoAgKQEOW5ceITblwLRY3gLVK1ZzlgvkShNPIEjovxEIgiCkNs79fPzg5eXV27vFgAQEBAAd3d3o+y7oGPdpk+lUn0MxX7PERudkOpy1raWSIhLgkqV9lvT3EKG4VM6MVhkUcqwZs6wlgMe3QlJcQIHAFKZBDKZlCdw2cTjVjysW3HklXpNL3cyCFOOYd0aztBQnBaJBKhcrSzqt3SFVCaFzEwKmUyqDhxmMshkEvX0Dw+pmc7zDz8lUolIry5vY1gTx7vQaKyath/yJGWay/AELut43IqHdSuOvFSvDMI6GNbEw7rNmuyG4qySSNUfRjIzqX5olkkh+xCoNR9YqS/zcXqKMC7TCeNmOuuYJVs/tXVFDPIFIawJKgGCoHl8/F2l0pmmma/SX+bjdCRbR2c9laCzvP62VDrrJi+D39mHeBLwCun9R5FIJahasywatq4GqVT9N071Z7rz1MeJRGI6J3IF4bjNq1i34shr9Zpe7mQfYSIjS96neMawzbmyX0ElQKFSQiFP+4MqL9ME+cyE8PA3Uel+MAOAPEmJjYtPoLRj0Q/BL62AmUooVCHZOskCpm44FVIJsHrPVcn2qX6enwkqAQ9vh+Dh7ZBsb0sikUAqk6QakvV+6oXp9Obph3BJOiH8488c3ncaJwLnD92BUqFKtz6UShUuHbuHz3vX0zkZUT9JftgIgqCZBeHjE90f2pVSXVfv92TLJ19fpyiGr5tG2dJaP/nrFAx/XecO+EORQd0qFCqc2H0DTT6rrq07QfiwB53XJXyYIKh05kGzvO5yQrJ5grY8uttSL5fKvFS3/3HbgpBs3od1gGTbSvN1aLZh4LxUXkfgvZeQZ/C/RalU4fLxe2jft0G6y4mNQZgoD5FKpbCwMkdSgtyAZSVwrl72w9dOKiiVKigVqT0XoFQqoVIKetPzO02QhwhBPvJtDCLfxuT4dinnCIIApUKA+q+fP0/mcpJKKeD62Ye4fvahsYtS4AgqAQF+zxHg99zYRSlQVEoB/peDGISJSJ9HAyfcuPBIr09VclKZBF7Nqmb5A0TTMqlUqPSDtOa5droApUIJpVJIZ5l0niv1t5M8jOttz8SCfHZIpOquARKJ7nN1S6JEAu3vEmnKZZKvJ9XdlnY9QCKV6k/7sI5Uu139dR76v0j3Ak/dslesWhIqpQCVSvXxp0p9jOn9THWaKt33BhHlH0mJGTf6iI1BmCiPadS2Gm5fCoRKmXYrl0wmRcM21bK8D4lEAsmH7gPmWd6K8WQ1yG9dcdqgriBm5jJ0/7ppsuCXPBRKk4VM6AfLFOukFUyRbB2d9XSXk37cVl50cNMV0U/gNLTdSvTCdLJgnW7QNiCEpxfGk4Xy5GUQcqoMH57HxSQaXDeavvMfD5Pkv3+YKpFoZuHjopLUf09tXb3f01pf8+PjjtJcN3k5U1k3/bJl7XW+ff0+3X7tutspU8Hhw2vQbPdD6SQfyql9v+vvWwKd5XXn4cNnQZrb+PBTdx40f+NU9qOzv49l+/h5on3pH+bpraetlg+fNUi2Lb3lUu7n43GnnnF6760Mu/MAgIWl8f8DMQgT5TEOJe3QY3iLDK+2NeULN7Ia5Gs1djYorNVu4gz3OhWyX1ATkhsncBofW8ABQJbt7eV1uXmSYWpYt+KIDIsxqF49GjrlYqnSKIexC0BEKVWtWQ7Dp3SCV7OqsLRSRz1LK3N4NauK4VM6cSifLGrUthpksvQ/9nIqrJkazQmcuYV6tBFdUpkE5hYykz+Byyoet+Jh3YojP9Urh0+jHMO6FQ/rNufkpbEtC6J3odG4fPwe/C8HITFBDksrc3g0dELDNrwxQXbwuBUP61YcealeOY6wDgYK8bBuxcO6zVkMa7mDx23O4nErHtatOPJKvTII6+AHs3hYt+Jh3YqHdSse1q14WLfiYd2Kw5j1ml7uZB9hIiIiIjJJDMJEREREZJIYhImIiIjIJDEIExEREZFJYhAmIiIiIpPEIExEREREJolBmIiIiIhMEoMwEREREZkkBmEiIiIiMkkMwkRERERkkhiEiYiIiMgkMQgTERERkUliECYiIiIik8QgTEREREQmiUGYiIiIiEwSgzARERERmSQzsTbcrVs32NraAgAcHR0xZ84csXZFRERERJRpogThxMRECIKAjRs3irF5IiIiIqJsE6VrxP379xEfH49Bgwahf//+uHXrlhi7ISIiIiLKMokgCEJOb/TBgwe4ffs2evTogadPn2LIkCE4cuQIzMzUDdB+fn6wtrbO6d0aJCEhAVZWVkbZd0HHuhUP61Y8rFvxsG7Fw7oVD+tWHMas17i4OHh5eaU6T5SuEU5OTqhYsSIkEgmcnJxQpEgRhIWFoUyZMtpl3N3dxdh1hgICAoy274KOdSse1q14WLfiYd2Kh3UrHtatOIxZr35+fmnOE6VrxK5duzB37lwAwJs3bxATE4MSJUqIsSsiIiIioiwRpUXY29sbP/30E3r37g2JRILZs2dru0UQEREREeUFoqRTCwsLLFy4UIxNExERERHlCN5Qg4iIiIhMEoMwEREREZkkBmEiIiIiMkkMwkRERERkkhiEiYiIiMgkMQgTERERkUliECYiIiIik8QgTEREREQmiUGYiIiIiEySwUE4MjJSxGIQEREREeWuDG+xfPXqVUyfPh1KpRLt2rVD2bJl0aNHj9woGxERERGRaDJsEV66dCk2bdqE4sWLY/jw4di6dWtulIuIiIiISFQZBmGpVIoiRYpAIpHA0tISNjY2uVEuIiIiIiJRZRiEK1SogIULFyIyMhKrV69G2bJlc6NcRERERESiyjAIT5s2DWXLloWXlxesra0xY8aM3CgXEREREZGoMgzCd+/ehVwux5QpU3Dz5k08fvw4N8pFRERERCSqDIPw9OnT8cknnwAAvv/+e8yaNUvsMhERERERiS7DIGxubo4KFSoAAMqXLw+plPfgICIiIqL8L8NxhMuWLYtFixahVq1a8Pf3R8mSJXOjXEREREREosqweXfOnDlwcHDA2bNnUaxYMcyZMyc3ykVEREREJKoMW4QtLCxQp04dVK9eHQBw+/Zt1KtXT/SCERERERGJKcMg/O233+Ldu3coU6YMBEGARCJhECYiIiKifC/DIPz27Vts27YtN8pCRERERJRrMuwj7OTkhDdv3uRGWYiIiIiIck2GLcI3btxAy5Yt4eDgoJ124cIFUQtFRERERCS2DIPw0aNHc6McRERERES5KsMgfOvWLezevRtyuRwAEBoair/++kv0ghERERERiSnDPsJTp05F/fr1ERMTg7Jly6JIkSK5UCwiIiIiInFlGISLFi2Kjh07wtbWFt9++y0vnCMiIiKiAiHDICyVSvHo0SPEx8fjyZMneP/+fW6Ui4iIiIhIVBkG4QkTJuDRo0fw8fHBjz/+iC+++CI3ykVEREREJKoML5arWrUqypQpg8TERKxevRoSiSQ3ykVEREREJKoMg/C4cePg5+cHe3t77S2W9+zZkxtlIyIiIiISTYZBOCgoCCdPnsyNshARERER5ZoM+wh7eHjgyZMnuVEWIiIiIqJck2GLsK2tLby9vWFtba2dxlssExEREVF+l2EQvnLlCq5evQozswwXJSIiIiLKNzLsGlGxYkWEh4fnRlmIiIiIiHJNhs28N2/eRKtWrVC0aFHtNHaNICIiIqL8LsMgPG3aNDRq1Cg3ykJERERElGsy7BqxYsWK3CgHEREREVGuyrBFWCKRYOTIkXBycoJUqs7NY8aMEb1gRERERERiyjAIf/HFF7lRDiIiIiKiXJVh14hOnTohLi4O/v7+iIqKQocOHXKjXEREREREosowCE+ePBnBwcFo0qQJQkJC8PPPP+dGuYiIiIiIRJVh14hnz55h8+bNAIDWrVujV69eoheKiIiIiEhsGbYIJyYmIj4+HgCQkJAApVIpeqGIiIiIiMSWYRDu378/unTpgpEjR6JLly4YMGCAQRsODw9HixYtEBgYmN0yEhERERHluDS7RmzatAn9+vVDxYoVsWPHDgQHB8PR0VHvDnNpkcvlmDx5MqysrHK0sEREREREOSXNFuGNGzfizJkzmDx5Mv777z+8f/8ed+/eNej2yvPmzUOvXr1QsmTJHC0sEREREVFOSbNFeOzYsTh27BjCw8Nx8OBBvXlNmzZNc4O7d++Gg4MDmjVrhtWrV6e5XEBAQBaKm30JCQlG23dBx7oVD+tWPKxb8bBuxcO6FQ/rVhx5tV4lgiAI6S2wd+9edO3a1eAN9u3bFxKJBBKJBAEBAahUqRJ+++03lChRQruMn58fvLy8slzo7AgICIC7u7tR9l3QsW7Fw7oVD+tWPKxb8bBuxcO6FYcx6zW93Jnh8Gm7du3KVBDWDLUGAD4+Ppg6dapeCCYiIiIiygsyDMJJSUno2rUrnJycIJWquxQvXLhQ9IIREREREYkpwyD8448/ZnnjGzduzPK6RERERERiynAc4WrVquHixYvYs2cPIiMjUapUqdwoFxERERGRqDIMwhMnTkT58uXx7NkzFC9eHJMmTcqNchERERERiSrDIBwZGQlvb2+YmZmhTp06UKlUuVEuIiIiIiJRZRiEAWhvk/z69WvIZDJRC0RERERElBsyDMI///wzJk6ciHv37mH06NGYMGFCbpSLiIiIiEhUGY4a4eLigt9++w3Pnz9HpUqVUKRIkVwoFhERERGRuDIMwps3b8aGDRtQpUoVPH78GCNGjECXLl1yo2xERERERKLJMAjv3LkT+/btg6WlJeLj49GvXz8GYSIiIiLK9zLsI1ysWDHtBXJWVlbsGkFEREREBUKGLcKCIKBr166oXbs27t27B4VCAV9fXwC81TIRERER5V8ZBuHhw4drn3fq1EnUwhARERER5ZYMg3D9+vVzoxxERERERLnKoBtqEBEREREVNAzCRERERGSS0uwaMWbMGEgkklTn8SI5IiIiIsrv0gzCvXr1ys1yEBERERHlqjSDsOYiuZiYGPzxxx8IDQ1Fy5Yt4erqmmuFIyIiIiISS4Z9hCdOnIjy5cvj2bNnKF68OCZNmpQb5SIiIiIiElWGQTgyMhLe3t4wMzNDnTp1oFKpcqNcRERERESiMmjUiMDAQADA69evtbdbJiIiIiLKzzIMwpMmTcLEiRNx7949jB49GhMmTMiNchERERERiSrDO8u5urpi+/btuVEWIiIiIqJck2YQbtWqld44wmZmZlAoFLCwsMDhw4dzpXBERERERGJJMwgfOXIEgiBg2rRp6NWrFzw8PHDv3j1s2bIlN8tHRERERCSKNIOwhYUFACA4OBgeHh4AgGrVqiEoKCh3SkZEREREJKIM+wjb2dlhyZIl8PDwwM2bN1GiRIncKBcRERERkagyHDViwYIFsLe3x5kzZ1CiRAn88ssvuVEuIiIiIiJRZRiELS0tYWlpCalUCkEQcqNMRERERESiyzAI/+9//0NwcDCaNm2KkJAQ/Pzzz7lRLiIiIiIiUWXYR/jZs2fYvHkzAKB169bo1auX6IUiIiIiIhJbhi3CiYmJiI+PBwAkJCRAqVSKXigiIiIiIrFl2CLcv39/dOnSBVWrVsXjx4/x7bff5ka5iIiIiIhElWEQ7ty5M5o3b47g4GA4OjqiaNGiuVEuIiIiIiJRpRmEf/rppzRXmjNnjiiFISIiIiLKLWkG4f/++w8JCQno3LkzateuzaHTiIiIiKhASfNiuf3792PlypVITEzE6tWrcevWLVSoUAHNmjXLzfIREREREYki3T7CLi4u+PHHHwEA165dw8KFC/H69Wvs2LEjVwpHRERERCSWDC+Wi4mJwfHjx3HgwAHEx8ejc+fOuVEuIiIiIiJRpRmEDx06hEOHDuHly5do27Ytpk2bBkdHx9wsGxERERGRaNIMwmPGjEHlypXh5uaGhw8fYvHixdp5CxcuzJXCERERERGJJc0gvGHDhtwsBxERERFRrkozCNevXz83y0FERERElKvSHD6NiIiIiKggYxAmIiIiIpPEIExEREREJolBmIiIiIhMUoY31MgKpVKJn3/+GUFBQZBIJJg2bRpcXFzE2BURERERUZaI0iJ8+vRpAMC2bdvw/fff641BTERERESUF4jSIty6dWt88sknAICXL1/C3t5ejN0QEREREWWZKEEYAMzMzDB+/HgcP34cy5YtE2s3RERERERZIhEEQRBzB2FhYfjyyy9x8OBBWFtbAwD8/Py0z3NbQkICrKysjLLvgo51Kx7WrXhYt+Jh3YqHdSse1q04jFmvcXFx8PLySnWeKC3Ce/fuxZs3bzBs2DAUKlQIEokEUql+d2R3d3cxdp2hgIAAo+27oGPdiod1Kx7WrXhYt+Jh3YqHdSsOY9arn59fmvNECcJt27bFTz/9hL59+0KhUGDixIk8uyIiIiKiPEWUIGxtbY2lS5eKsWkiIiIiohzBG2oQERERkUliECYiIiIik8QgTEREREQmiUGYiIiIiEwSgzARERERmSQGYSIiIiIySQzCRERERGSSGISJiIiIyCQxCBMRERGRSWIQJiIiIiKTxCBMRERERCaJQZiIiIiITBKDMBERERGZJAZhIiIiIjJJDMJEREREZJIYhImIiIjIJDEIExEREZFJYhAmIiIiIpPEIExEREREJolBmIiIiIhMEoMwEREREZkkBmEiIiIiMkkMwkRERERkkhiEiYiIiMgkMQgTERERkUliECYiIiIik8QgTEREREQmiUGYiIiIiEwSgzARERERmSQGYSIiIiIySQzCRERERGSSGISJiIiIyCQxCBMRERGRSWIQJiIiIiKTxCBMRERERCaJQZiIiIiITBKDMBERERGZJAZhIiIiIjJJDMJEREREZJIYhImIiIjIJDEIExEREZFJYhAmIiIiIpPEIExEREREJolBmIiIiIhMEoMwEREREZkkBmEiIiIiMkkMwkRERERkksxyeoNyuRwTJ05ESEgIkpKS8M033+DTTz/N6d0QEREREWVLjgfhffv2oUiRIpg/fz4iIyPRtWtXBmEiIiIiynNyPAi3a9cOn332GQBAEATIZLKc3gURERERUbbleBC2sbEBAMTExGD06NH4/vvvc3oXRERERETZJhEEQcjpjb569QojR45Enz594O3tnWK+n58frK2tc3q3BklISICVlZVR9l3QsW7Fw7oVD+tWPKxb8bBuxcO6FYcx6zUuLg5eXl6pzsvxFuG3b99i0KBBmDx5Mho1apTmcu7u7jm9a4MEBAQYbd8FHetWPKxb8bBuxcO6FQ/rVjysW3EYs179/PzSnJfjw6etWrUKUVFR+PXXX+Hj4wMfHx8kJCTk9G6IiIiIiLIlx1uEf/75Z/z88885vVkiIiIiohzFG2oQERERkUliECYiIiIik8QgTEREREQmiUGYiIiIiEwSgzARERERmSQGYSIiIiIySQzCRERERGSSGISJiIiIyCQxCBMRERGRSWIQJiIiIiKTxCBMRERERCaJQZiIiIiITBKDMBERERGZJAZhIiIiIjJJDMJEREREZJIYhImIiIjIJDEIExEREZFJYhAmIiIiIpPEIExEREREJolBmIiIiIhMEoMwEREREZkkBmEiIiIiMkkMwkRERERkkhiEiYiIiMgkMQgTERERkUliECYiIiIik8QgTEREREQmiUGYiIiIiEwSgzARERERmSQGYSIiIiIySQzCRERERGSSGISJiIiIyCQxCBMRERGRSWIQJiIiIiKTZGbsAuSGwKh4LPQPxqZHbxAjV8L28lv0q1oKvh7l4WxfyNjFIyIiIiIjKPBB+PDzcHifuAu5UgW5oJ4WLVfiz4CXWP/wNXa1ro7PKxQzbiHzMZ5kEBERUX5VoLtGBEbFw/vEXcQpPoZgDbkAxClU8D5xF4FR8cYpYD53+Hk4PHZdw58BLxEtV0LAx5MMj13XcPh5uLGLSERERJSmAt0ivNA/GHKlKt1l4hUqdDv6Hz4tVxQyKWAmkUAmkUAmVf80k0ggk0I9TSKB2YfpMgl0nuvOS31ZmVSit20znekf9/Nxff1t6+/LTCqBVCLJpVpMne5JRnJyAZB/OMnw967HluEsYmu7eFi3REQEABJBEISMF8tZfn5+8PLyEn0/9mvPI1quFH0/xmJIaM4odJvphP4Mw7zO7xdfv8f9yDikd5ohBdCsTGEMcCkNC5kUFlIJLKRSWMiS/ZRKPs5PZTlzqQQSIwf/3JZalx4AMJcA5jIpu/RkA+tWXClOMsxlPMnIIaxb8bBuxZFX6jW93Fmgg7B09Rnk+osjUZhLJWkG5VQDdRYCd04sJ5NkP7QHRsXDY9e1VFvbNazNpGxtzwLWrbh4kiEe1q14WLfiyEv1arJB2NAWYSuZFLPqOUEpCFAKAhQqAUoBOs8/PFSAQvv8w7Ifpuuvq15fobNc8u0mXzb5vvSWVQk6+1Vvl/ImCZC9QC2V4kpolEGt7fVK2qFzxeKQAJBIAAkk0ERw9e+ARKIzTXc5ic605Mtp1k2+XDr70N8WtEt93Fay5XT2ob8tnWkZ7AM6ZdRMh85r0UzXXW6xfzAOPA+HIp23kJkE+MKpBCbVqQgJAKlEAqkEkH7YhlQigfTDdIkE2ufSD/Mkqf7+cT2JzvakEhSYbzt4kiEe1q14WLfiyGv1ml7uLNB9hPtVLYU/A16muFBOl7kEGOxaGmM8yudewXKASi+Q64duhc70FGFeQLLfsxb8v7/0CAnKjAO5uVSCPlVKIkkpIEml+vhTJSBJ+eGn7vRU5stV+Sf4CwASlQISleJ2yVEBuBIajSuh0aLuxxQpBGD7kzBsfxKWa/vUC8sfTgb0w7N+AE+xjAQpAnjqofvj89RCe4rtpBb+k5VVM+3G22jEp/NPD1Bfk9HxsD8aly6s99oB/RMC3VMDvecS3emSVKaltV7Kbae9ns6yqSyTWhnSL2faZUh/vY+v79DzcCRkULcJChV6n7iL9mm0sGXlhCuza2TlnC7T+8j0GumXa9/TtwbVbd9T99ClYvFM7zs35MVz6b0G1KtcqcJi/2CsaOqSS6VKXYEOwr4e5bH+4WvI0/ljmMuk+CGfhWBA809IAnMjjftx+12MQScZQ93KZPsgFwR1GE4zSBsYqLO1nIHbMeDcgCgFAdCejH6cUvAIAO6/j8f99xypJ6epAFx7G4Nrb2OMXZQChw0P4pALwMZHbxiExeRsXwi7WlfPsI8Kv+7IvNw8yZBIJOpuBDIpYJ7tzYlKqRIgVxkeuBNTCdijLj40qLXdQirBGI/yEAQBAgBNhhIACBAgCB/jlPp5Kstp1k2+nO66ussZuI+Pv39c9+O2Pq77cVvJlhP092HIcvr71JmmM/3Sm/cGnaxIJUC1IjZQfdi/ShCggvqnIED7XPVhPyrh4++qD+VT6awnaOYh5TJERKYqJg8MaFCggzAAfF6hGPy962GxfzA2PnqDaLkSduYy+FQthR94NWiW8SQjdTKpBDKpDFbZ2Ibf22iDWtuHuJXBnPqVs7En0zPiwkPDvslwL5trrRRCaoEaSBHAUwvdAlIL4PqhW0g1gKcR2j8sm1H4T207g84+QHwGw1UC6msyVjSpqn7tOicw2vrQqxvd6UKKZdJeL+Wyaa+ns2xa28tou2mulzOvb9bNZ0gy4KzJUirBhFoVUkzPyvlWZtfJyqUrQib3krV9pG+hf7BBdatpeMhrjHCZl0EW33lhUL3amstyoTTpK/BBGFCHthVNXbCiqQsCAgLg7u5u7CIVCDzJEEdB7tJjbHmxbiUfhifMfG/JvOXc6/cGX5Mx2K1M7hWsAHgdn2RQ3X7tVgZT6zrlXsEKgMgkBRseRBD14eZaGdWrT9VSuVeoNBToO8uR+DQnGe8HNsPdZqXwfmAzrGjqwhCcDZrWdmszKcyTZSNzifpKW1Nsbc8JrFvx+HqUh7ks/X8pPIHLGtateFi34shP9SpaEL59+zZ8fHzE2jxRgaZpbR/qXhb25jJIANibyzDUvSz8vetxTMtsYN2KgycZ4mHdiod1K478VK+ijCP8xx9/YN++fShUqBB27NiRYn5ujSOcGnaNEA/rVjysW/GwbnNWYFQ8u0uJhHUrHtatOPJKveb6DTWOHj0KV1dXjBs3jkHYhLBuxcO6FQ/rVjysW/GwbsXDuhWHMevVKHeWe/HiBcaMGZNmELa2thZjtxlKSEiAlVV2rumntLBuxcO6FQ/rVjysW/GwbsXDuhWHMes1Li4u791ZzlhnBTzTEw/rVjysW/GwbsXDuhUP61Y8rFtxGLtFOC0cNYKIiIiITBKDMBERERGZJNGCsKOjY6r9g4mIiIiI8gK2CBMRERGRSWIQJiIiIiKTxCBMRERERCbJaMOnERERERUEgVHxWOgfjE2P3iBGroStuQz9qpaCL+9Ml+exRZiIiIgoiw4/D4fHrmv4M+AlouVKCACi5Ur8GfASHruu4fDzcGMXkdLBFmEiIiKiLAiMiof3ibuIU6hSzJMLgFyhgveJu/D3rpfpluErV67g+++/R5UqVQAAsbGxcHR0xIIFCxAaGopPP/0Uvr6+GDp0qHad4cOHIzY2Fhs3bsSzZ88wa9YsKBQKxMTEoF69evD19cXLly/RuXNnVK9eXW9/69atg0wm0/5+7do12NnZwc3NzaDyjho1CitWrMjUa8wLGISJiIiIsmChfzDkypQhWJdcqcJi/2CsaOqS6e03bNgQixcv1v7u6+uLU6dOoUaNGqhQoQKOHj2qDcIRERF49uwZihcvDgBYtGgR+vXrh+bNm0MQBIwaNQonT56Eu7s7qlSpgo0bN6a777///hvt27c3OAjnxxAMMAgTERERpWuhfzCm+j1FjFyZ6XXlArDy3kusvPdSb7qtuQxTvSrB16O8QdtJSkpCaGgoChcuDAAoWrQoihQpgsDAQDg7O+Pw4cNo164drl+/DgAoXrw49uzZAxsbG3h4eGDJkiUwMzNDSEhIhvv677//cP78edy9exdVqlRB3759UblyZTg7O8Pb2xtz586FUqlEREQEpk6dijp16qBJkya4ePEifHx84ObmhkePHiEmJgZLly5FuXLlMllruYd9hImIiIjSsdA/OEshOD0xciUW+genu8zly5fh4+OD9u3bo3v37mjTpg0aNWqknd+hQwccPHgQAHDy5Em0bt1aO2/8+PHw9PTEokWL0LhxY/z000+Ijo4GADx+/Bg+Pj7ax9y5c/X2W6NGDTRr1gxjx45F2bJl8erVKyxYsAATJ07E48ePMX78eKxfvx5DhgzB7t27U5Tbw8MD69atQ5MmTbTly6vYIkxERESUDl+P8lluEU6Lrbksw9ZgTdeIiIgIDBo0CI6OjnrzW7dujb59+6J79+4oUaIErKystPMuX76MAQMGYMCAAYiNjcW8efPw66+/ol+/fgZ1jdBVtGhRFC1aFABQsmRJ/Prrr7CyskJsbCxsbW1TLF+tWjUAQOnSpfH27VuD92MMDMJERERE6fD1KJ9qaB1x4SH+DHgJuZD2uuYSYKh72Sz1EdYoWrQo5s+fj/79+2Pv3r3a6TY2NnBycsL8+fPRo0cPvXXmz58PKysr1K9fX7tcRESEwfuUSCQQBPULk0o/diCYNWsWFixYAGdnZyxbtsygrhZ5GbtGEBEREWWBr0d5mMvSj1LmMil+MLAfcHqqVKkCHx8fzJw5U296p06d4Ofnp9dlAgCWLFmC3377Dd27d0evXr1w9+5d7YV1ybtG+Pj4IDhYv5uGp6cnFixYgMDAQL3pnTt3xnfffYc+ffrg6dOnCA0NzfZrMyaJoIn7ucjPzw9eXl65vVsAQEBAANzd3Y2y74KOdSse1q14WLfiYd2Kh3UrnszW7eHn4fA+cRdypUqvZdhcog7Bu1pXx+cViolQ0vzFmMdsermTLcJEREREWfR5hWLw966Hoe5lYW8ugxSAvbkMQ93Lwt+7HkNwHsc+wkRERETZ4GxfCCuaumSrHzAZB1uEiYiIiMgkMQgTERERkUli1wgiIiKi7HgfCNxaCDzcBMhjAHNbwKUfUMsXKOxs7NJROtgiTERERJRVzw4D2z2Ae38C8mgAgvrnvT/V058dNnYJKR1sESYiIiLKiveBwFFvQBGXcp4gBxRy9fye/pluGb5y5Qq+//57VKlSBQAQGxsLR0dHLFiwAKGhofj000/h6+urHRsYAIYPH47Y2Fhs3LgRz549w6xZs6BQKBATE4N69erB19cXL1++ROfOnVG9enW9/a1btw4ymSzTVXDlyhVs27YNixcvNnidyMhInD9/Hp06dcLq1avRsGFDeHh4ZHrfOYFBmIiIiCgrbi0ElPL0l1HKgduLgeYrMr15zS2WNXx9fXHq1CnUqFEDFSpUwNGjR7VBOCIiAs+ePUPx4sUBAIsWLUK/fv3QvHlzCIKAUaNG4eTJk3B3d8/0LZZz2oMHD3Dq1Cl06tRJL8gbA4MwERERUXpuLQSuTVX3/80sQQ78t1L90GVuC9Sbqu5HbICkpCSEhoaicOHCANS3XS5SpAgCAwPh7OyMw4cPo127drh+/ToAoHjx4tizZw9sbGzg4eGBJUuWwMzMzOBbIi9evBhXrlyBQqFA27ZtMXToUDx48EB7Z7siRYpg9uzZeuscPnwY69atg1QqhZeXF3788Ue8e/cO48ePx5s3b1CoUCHMmzcPq1atwv3797F9+3bcvHkT7du3R6NGjfDTTz/hxYsXUCqVGDhwINq3bw8fHx+4ubnh0aNHiImJwdKlS1GuXDmDXoMh2EeYiIiIKD23FmYtBKdHHqPebjouX74MHx8ftG/fHt27d0ebNm30bqXcoUMHHDx4EABw8uRJtG7dWjtv/Pjx8PT0xKJFi9C4cWP89NNPiI6OBpDyFstz585Nse/9+/djwYIF2LJlC+zt7QEA//vf/zBlyhRs3LgRzZs3x59//qldPjIyEsuXL8e6deuwdetWvHnzBhcvXsSvv/6KVq1aYd68eRg/fjz8/f0xfPhwNGzYED179tSuv337djg4OGDbtm1Yu3YtlixZgnfv3gEAPDw8sG7dOjRp0kT7enMKW4SJiIiI0lPLN+stwmkxt82wNVjTNSIiIgKDBg2Co6Oj3vzWrVujb9++6N69O0qUKAErKyvtvMuXL2PAgAEYMGAAYmNjMW/ePPz666/o16+fQV0j5s+fj4ULF+Lt27do1qwZACAwMBDTpk0DAMjlclSqVEm7/PPnz/Hu3TttV4fY2Fg8f/4cQUFB8Pb2hiAIqFOnDurUqYMrV66k2F9gYCAaN24MALC1tYWzszOCg4MBANWqVQMAlC5dGm/fvk233JnFIExERESUnlq+qYfWsyPUo0MI6fQTlpgD1YdmqY+wRtGiRTF//nz0798fe/fu1U63sbGBk5MT5s+fjx49euitM3/+fFhZWaF+/fra5SIiIgzaX1JSEo4cOYJFixYBANq3b48OHTrAyckJ8+bNQ9myZeHn54ewsDDtOo6OjihTpgzWrFkDc3Nz7N69G+7u7ggKCsKdO3dQo0YNXLt2DWfOnMEnn3wClUqlt09nZ2dcv34dbdq0QUxMDB4+fJgi+IuBQZiIiIgoK2r5Ag/Wq0eHSIvMHPD8Idu7qlKlCnx8fDBz5kyMGzdOO71Tp06YPHkyFi1ahKdPn2qnL1myBDNnzsTcuXNhYWEBR0dHTJ06FZGRkdquEbpmz56N8uXLAwAsLCxQuHBhfPnll7CyskKTJk1QtmxZTJ06FePHj4dCoYBEIsGsWbMQGhoKAHBwcMCAAQPg4+MDpVKJcuXK4fPPP8fw4cMxceJEbN26FTY2Npg9ezYsLCzw8OFDrFu3Trv/L7/8Ev/73//Qu3dvJCYmYtSoUShWrFi26y0jEkEQBNH3koyfnx+8vLxye7cAgICAALi7uxtl3wUd61Y8rFvxsG7Fw7oVD+tWPJmu22eH1UOkKeX6LcMSc3UI/mwXUPHznC9oPmPMYza93MmL5YiIiIiyquLn6nGCqw8FLOwBSNU/qw9VT2cIztPYNYKIiIgoOwo7q/sAZ6MfMBkHW4SJiIiIyCQxCBMRERGRSWLXCCIiIqJseBcajUvH7sH/ShCSEuSwsDKHRwMnNGpbDQ4l7YxdPEoHgzARERFRFj26E4Kdq85CqVRBpVQPxJWUIMeNC49w+1Igegxvgao1c+6WwJSz2DWCiIiIKAvehUZj56qzkCcptSFYQ6UUIE9SYueqs3gXGp3pbV+5cgWNGjXS3ga5e/fuGD16NJKSkvDixQu4urpi9erVeusMHz5cOz7ws2fPMHToUAwaNAhffvkl5s+fD5VKhRcvXqBOnTp6t1jWjP2bFVeuXMEPP6jHSR41alSK+Vu3bsXy5cvTXD8yMhL79+8HAKxevRr+/v5ZKkdWsUWYiIiIKAsuHbsHpVKV7jJKpQqXj99D+74NMr19zS2WNXx9fXHq1CnUqFEDFSpUwNGjR7W3NI6IiMCzZ89QvHhxAMCiRYvQr18/NG/eHIIgYNSoUTh58iTc3d0NusVyVqxYkflRMx48eIBTp06hU6dO2teSmxiEiYiIiNLx77F7OLvvNpISFZleV6UUcO3MQ1w781BvuoWlGVp09kTjttUM2k5SUhJCQ0NRuHBhAOrbLhcpUgSBgYFwdnbG4cOH0a5dO1y/fh0AULx4cezZswc2Njbw8PDAkiVLYGZmhpCQkAz3df/+fcyaNUsblocNG4bvvvsOz58/x+bNm7V3lksefJs0aYKLFy/i+vXrmD17Nuzt7SGTyVCrVi0AwMKFC/Hff/8hMjISbm5umDNnDlatWoX79+9j+/btuHnzJtq3b49GjRrhp59+wosXL6BUKjFw4EC0b98ePj4+cHNzw6NHjxATE4OlS5eiXLnsdTth1wgiIiKidFw6di9LITg9SYkKXDp2L91lLl++DB8fH7Rv3x7du3dHmzZt0KhRI+38Dh064ODBgwCAkydPonXr1tp548ePh6enJxYtWoTGjRvjp59+QnS0uouG5hbLmsfcuXP19uvm5oakpCSEhIQgNDQUERERqFatGp4+fYrVq1dj69atqFKlCi5cuJBquadNm4aFCxdi3bp1cHR0BADExcXB3t4ea9euxd9//41bt27hzZs3GD58OBo2bIiePXtq19++fTscHBywbds2rF27FkuWLMG7d+8AAB4eHli3bh2aNGmife3ZwRZhIiIionQ0alstyy3CabGwNEOjDFqDNV0jIiIiMGjQIG2o1GjdujX69u2L7t27o0SJErCystLOu3z5MgYMGIABAwYgNjYW8+bNw6+//op+/foZ1DXC29sbe/fuhYWFBbp37w4AKFasGMaPHw8bGxs8efJE29Kb3Nu3b+Hk5AQAqFOnDp4/fw4LCwu8e/cOY8aMgbW1NeLi4iCXy1NdPzAwEI0bNwYA2NrawtnZGcHBwQCAatXUdVa6dGm8ffs23ddgCAZhIiIionQ0blst1S4MBzddwY0Lj1JcKKdLKpPAq1nVLPUR1ihatCjmz5+P/v37Y+/evdrpNjY2cHJywvz589GjRw+9debPnw8rKyvUr19fu1xERITB+2zfvj0GDBgAqVSKv/76C9HR0Vi2bBnOnDkDABg4cCAEIfXXXapUKW2XjTt37qBw4cK4ceMGXr16pW3dPX78OARBgFQqhUql38/a2dkZ169fR5s2bRATE4OHDx+mOAnIKQzCRERERFnQqG013L4UCFU6Iy7IZFI0bGNYP+D0VKlSBT4+Ppg5cybGjRunnd6pUydMnjwZixYtwtOnT7XTlyxZgpkzZ2Lu3LmwsLCAo6Mjpk6disjISG3XCF2zZ89G+fLltb/b2NjAzc0NCoUCtra2EAQBderUQc+ePWFmZgZ7e3uEhoamGlCnT5+OcePGwdbWFjY2NihcuDCqVq2Kffv2oW/fvpBIJChfvjxCQ0NRoUIFPHz4EOvWrdOu/+WXX+J///sfevfujcTERIwaNQrFihXLdh2mRiKkFedF5OfnBy8vr9zeLQAgICAA7u7uRtl3Qce6FQ/rVjysW/GwbsXDuhVPZus2tXGEAXVLsEwm5TjCHxjzmE0vd7JFmIiIiCiLqtYsh+FTOuHy8XvwvxyEpEQ5LCzN4dHQCQ3b8M5yeR2DMBEREVE2OJS0Q/u+DbLVD5iMg8OnEREREZFJYhAmIiIiIpPEIExEREREJolBmIiIiIhMkigXy6lUKkydOhUPHjyAhYUFZs6ciYoVK4qxKyIiIiKiLBGlRfjEiRNISkrC9u3b4evrm+Ie1kRERERExiZKEPbz80OzZs0AALVq1cJ///0nxm6IiIiIiLJMlK4RMTExsLW11f4uk8mgUChgZvZxd35+fmLs2iDG3HdBx7oVD+tWPKxb8bBuxcO6FQ/rVhx5sV5FCcK2traIjY3V/q5SqfRCsLFur0xEREREpCFK14g6derg3LlzAIBbt27BxcVFjN0QEREREWWZRBAEIac3qhk14uHDhxAEAbNnz4azs3NO74aIiIiIKMtECcJERERERHkdb6hBRERERCaJQZgMolQqjV2EAot1Kx7WLeVHKpVK7ycA8MvbnKFbpwDrNackr9f8pEAGYaVSiZiYGCgUCmMXpUAQBAEymQzv37/HiRMn8PTpU2MXqcBQKpWQyWRQqVQ4f/483r9/b+wiFRgqlUp73F6/fh2vX782dpEKFN0Awc/anCWVSnHjxg1MnToVu3fvRnx8PCQSibGLle+pVCpIperYc/PmTcTExLBec4imXk+cOIG1a9fi3bt3Ri6R4QpcEH758iW++uorrFy5EhcvXtRO51lf1kkkEjx+/Bh9+vSBn58fTp48qZ3Hes0emUyG169fY/jw4di5cyeuXbvGVswcIpVK8fDhQ/Tr1w8nT57E8ePHtfN43GafJkDs3r0bv/zyC/bt22fkEhUc//77L3755Rc0aNAA1apVQ6FChYxdpAJBE9amT5+OJUuWYMOGDUhISDByqQqO5cuXY+3atVAoFIiIiMg3n7OijCNsDIIgICIiAuPHj0eXLl3QqVMnWFlZwd/fHx4eHjzryyTNmbMgCFAoFNi7dy8GDBiAHj16AFD/82vbtq3ejVPIMIIg6B2P69atQ506dTB8+HAAgL+/P8zMzFCtWjVjFTHf0hy3SqUSCoUCa9euxeDBg9G1a1cA6uO2Y8eOsLCwMG5BC4gtW7bg2LFjGDVqFIoVK5bixklkGM03QxrPnj1D48aN0aFDBwDA3r17ERcXhz59+hiriAXGyZMnERERgfXr1yMuLg5xcXF4/fo1KlWqlOKzmdKn28IeFxeH4OBgbNy4EVKpFLGxsdi+fTu6desGS0tLI5c0fQWmRVgikaBIkSKoWrUqPvnkE1hZWSExMRGHDh1CfHy8sYuXr+ge3ImJiTA3N4eDgwMePHigXebatWu4f/++sYqYb6lUKu0HbVxcHAB1q7DuWNsnTpzQ+6dIhtE9bgHA0tIS5cqVQ3R0tHaan58fnj9/boziFQjJv614+fIlunfvjrp168LJyQnLly/Hv//+a6TS5U+aLjwAcOHCBQiCADs7OwiCgGfPngFQB+OSJUsas5j5lqZVUtOHNSIiQvs5YW1tjW3btuHatWsAwBCcCYIgaANvZGQkrK2tERQUhB07dgBQ1+Xp06cRGRlp3IIaoECcuu/cuRMqlQodOnRAeHg4zp49i3bt2uHcuXO4f/9+vu7Endt0WyamT5+OsLAwNG7cGM7OzoiMjMTixYtRvnx5PH78GI6OjkYubf6iG9RWrlyJp0+fomPHjmjZsiVmzJiBUqVK4dmzZ7h69Srat29v5NLmL7rH7axZsxAREYFOnTqhRIkSePPmDXbs2AGZTIZHjx6haNGiRi5t/qR7rcDdu3fRqFEjFC1aFBEREXj79i2KFy+ON2/eoFixYsYuar6hCRMxMTGYOHEinj59inr16qFVq1aIiorC1q1bERYWhtjYWHz11VfGLm6+omndlUgkuHDhAs6cOQM3Nzd07NgRhw4dwrp169CrVy/4+/trW97JcBKJBPfu3cOECRNQpUoV1KpVC3PnzsWIESMgkUhw7tw5uLi4oFSpUsYuaoby/TjCCxYswPPnzxESEoLPPvsMdevWxa5duyAIAkJDQzFx4kTezCOTEhISsG3bNoSHh6NGjRq4e/cuihYtioYNG+L06dN4//49Bg0alC8O8Lxo6dKlCA8PR7NmzTBu3Djs27cP//33HwICAvDw4UP8+OOPqFKlirGLme/Ex8dj8+bNiIiIgIODA8LDw+Hu7o5ChQrh5s2biIyMxOjRo3ncZkNgYCAmT56MmJgYtG/fHk5OTrhy5QqkUimCg4NRsmRJTJ8+3djFzFdevHiBKVOmoGfPnmjbti0mTZqEGjVqwN3dHba2tvD390f37t0BpPzWgzJ24cIFrF27Fq1atcLVq1dRtWpVeHt7Y/LkybCyskK9evXg4+Nj7GLmO/7+/li/fj26deuGMmXKYM6cOejduzeqVKmCK1euQCKRaLtS5vkuJ0I+pVAohLlz5woDBw4UBEEQYmJihAEDBggHDx4U4uLihLCwMCEuLk4QBEFQKpXGLGqep1Kp9H5fvny58MUXXwhPnjwRBEEQTpw4IcydO1fYs2eP3nIKhSK3ipiv6dbv8ePHhbZt22rr9u+//xbatGkjhIaGCoIgCElJSYIg8Jg1RPLjdu7cuULHjh2109euXSssXrxYuHr1qt5yPG6z5tKlS4KPj49w//59ITo6WhgzZoxw8OBB4fbt20JAQIBw+PBh7bLJ/zb0UfL3dkREhFC7dm1h7dq1giAIwvPnz4Vvv/1W+Ouvv/SW43FrGN36vXLlijBixAhh+/btgiAIwrNnz4Rhw4YJf//9tyAIghAbG5vqepSS7vEnl8uFOXPmCCNGjBCeP38uCIIgXLt2Tejatavw77//6q2XH+o1X55axsTEQCaToUWLFnj8+DGuXLkCGxsbfPfdd1i6dCmePXuG4sWLo1ChQtqvnih1gs6Z2sOHD/HixQt8/fXXqFixovYq+6ZNm6Jy5cooXLiw3nrsx5o+4cOXLRKJBM+ePUNkZCQcHR3RqVMn/P7774iLi0P37t3RrFkzbNmyBQBgbm7OY9YAusdtUFAQYmJi8OOPP8LW1hbr1q0DAHTr1g1yuRyJiYl66/G4NUzy/sB2dna4evUq3r9/D1tbW/Tp0wd79+5FcHAw3Nzc0K5dOwD5oPXHiHTf2xs2bMD27dsREBCA3bt3488//8StW7dQvnx5DBo0CB4eHnrr8rjNmFKp1F7kHRoaigoVKqBq1aoIDg5GUFAQKlSogIEDB+Lff/9FXFycdjQOfuamT7cf+549e/DkyRM0a9YMVapUwcWLFxEeHo66deti5MiRKF26tN66+aFe813XiIMHD+Kff/5B9erV4erqikKFCmHNmjWYPn06KlasiCdPnqBy5crGLma+s379ehw9ehSOjo6wt7dHu3bt8Ntvv6Fdu3bo0aMHkpKSeKV9Fh08eBCbN29G06ZN8fLlS3To0AE3b97E+/fv8dNPPxm7ePnaxo0bcfToUZQqVQqOjo7o2LEjvv32W4wZMwZt27ZFbGwsbGxsjF3MfEc3zC5evBiOjo6oWbMmXr9+jRkzZmDnzp1wcHDA6dOn4ezsjAoVKhi5xPnL/PnzER4ejj59+mDYsGH466+/8Pr1a/zwww84deoU+1lnQ0hICGbOnInChQvD1dUVdnZ2ePXqFQoXLozPPvsMpUqVYheTLIiJicHIkSNRrVo1vH37Fs7OzihSpAhCQkJQunRp9OjRQ5sR8tvJcL46Eg4cOIA9e/Zg2rRpUCgU2LRpE8qWLYtGjRphxowZEAQBlSpVAsBxQjMjICAAN2/exJYtW1C3bl1cvnwZgiBg5MiROHbsGKKiohiCsyg4OBi7d+/GqlWrYGdnh+DgYLx48QKNGjVCTEwMgoKCUlzVTIa5fPkyLl++jE2bNqF27do4dOgQkpKSMHHiRCxfvhwJCQl6LT5kOIlEgvj4ePj6+sLc3BzFihXD119/DU9PT/Ts2VPbZ7Vly5aoUKEC6zcT4uLiEBMTgx9++AHnz59H48aNcerUKbRq1QoTJkzIVwEir0lISMDixYsxePBg9O7dG3v37oWZmRnc3d3x8OFDhISEAIC21ZgM5+fnh08++QTjx4/HmzdvEBYWBi8vL7i4uMDGxkYvI+S3YzhftQgfPXoUMpkML1++xK1bt9ClSxcAQMOGDREREZGiSZ4M8+bNG8ydOxdSqRTFihXD4MGDsX79eowZMwYKhQJWVlbGLmK+9fDhQ2zYsAGurq64fv06hgwZggcPHqBNmzaQyWRsrcyGwMBAbNu2DYmJibC0tET//v2xf/9+jBgxAjExMRzjOpuePn2KrVu3YvDgwViyZAnMzMzg4uKCfv36Yd26dRgwYICxi5jvCIKAt2/fYuHChXj16hUaNGiAESNG4H//+x8GDhyo/TaTLZZZo+ki9fnnn+Pw4cNo3749YmNj8fnnnyMmJoYjHWXD0aNHsWjRIpQuXRrffvst4uLicOfOHe0oEflZvnqnRUREYO7cuXj8+DEWLVqEf//9Fzdv3oSFhQVKly7NM7wsMjMzQ8mSJRESEoKePXti3bp12rEWraysWK/Z4OLigkePHmHr1q1YunQpLl68iGPHjsHS0pIhOJsEQUBYWBjevHmDQYMGYdOmTXj9+jUEQYCtrS2P22yKi4vDq1evMHr0aLRo0QI//PAD7t69i6ioKG0IZh1njkQiQYkSJVCtWjWYm5vDyckJo0ePhp2dnV6XPobgrLG1tUX16tUxY8YMjB49Gq6urtizZw/CwsK0IZjHbNa0bNkSnp6eUCqVKFKkCFauXInKlStrQ3B+rtd81SIMAJMnT0ahQoXw9u1bFC5cGJMnTzZ2kfKFjPrs3L17F7du3cJ///2HMmXKYPTo0QatRx8lv6uWZmzb0NBQ/PTTT6hcuTKio6Mxd+5cI5Yyf8no+Dt9+jQePXqEu3fvonLlyvjuu+9ysXQF34IFC/Dq1Ss0a9YMe/fuRYcOHbRDIlHaIiMjUaRIkRTTdY/n06dP4+3bt7CxsdGOG87P2+x79+4dVqxYAblcjidPnuB///sf3NzcjF2sAiEmJgabNm1CTEwMWrRogXr16hm7SDki3wRhTahQKpV48+YNXrx4gfr16wPg10gZ0a2fN2/epDuO6vv377WjQyS/7Sel9Pbt23RvgKGpw/j4eKhUKm0rMOs2Y7rHbXR0NOzs7LTzkgcG3eOadZt9mrqPj4/H9evXERgYiNq1a8PT09PYRcvzIiIicODAATRr1gwymQzly5fXm5/a/yvNHScZgjOm+95P78QhNDQU9vb2sLKyYkYwQPI6Sq/OdG9lXxA+a/P8kaG5gEgmk0GhUEAmk6Fs2bLaMxEe4BnT1M+yZcuwf/9+JCQk6M3XHSYpKSkJAIeZMlTx4sXxzz//oE+fPti+fTsA/YveNB/ShQoV0g7jxbo1jOa4Xbp0KY4cOaI9NgF1veoet5qL4grKB3NuSO3iTE27iFQqhUqlQqFChdCsWTMMGDAAnp6eUCgUuV3MfKdo0aKIjo5G586dsXr16hTzdduejh07pv0fxhCcPt3hKF+/fo34+PhU60xzjJYsWVL7DR0zQtp03/OvXr3C5cuXtb/rfsbqfl48fPiwQH3W5rmjY8GCBfj111+xefNmJCQkaK/uVKlU2oP6+PHj2Lp1KwAe4OnRPXD37t2LXbt2YdCgQdozZM0ymoN506ZNmDNnTpofMPSR7gdE69atERgYiPfv36dYRnN8Hj9+HIsWLUJ4eDjrNgO6QWHLli04duwYvvjiC1hYWOiNsKE5bjdu3IgZM2ZoT5Qpfbr/+J4+fYqNGzfi3r17ANQhQzNf9+9w4MABANDr+kP6dOuradOmaNmyJSwtLfUaHnSP0QULFmDPnj0pGiYodZrPzX/++QeTJk3Crl279OYLggBBEGBmZoZXr15h5syZePLkiTGKmm/I5XJtvV69ehXDhw/H8uXLMXjwYADQfguvOVmLiorCqFGjcOPGjQL1WZtnUqRCocC3334LKysr1KpVC0ePHsXff/+tna8JFGvWrMHJkyfh7e1trKLmC5oBwqOjo6FSqVClShXUrFkTa9asAaCuT7lcrq3XxYsX49q1axg/fry2dY1Sio2NRVJSkra7w507d+Dh4YGdO3diy5YtuH79urZONR8U69atw7Zt2zBgwACOD5oBzVed8fHxAIAiRYqgWrVqOHToEAD1P0OFQqF33Pr5+eHHH39kSDOQ5h/fgwcPMHXqVNy4cQM7duzAwYMHtfM1gS0qKgq+vr56rfGkT7el8t9//8WKFSsQFhaGpUuXIjo6Ghs3bsSLFy+QmJgIMzMzxMTEYOzYsUhMTMRvv/0Ga2trI7+CvE230eH27dvYtm0bFi1aBEtLSxw4cABBQUF6XUtu3bqFiRMnwtnZGS4uLkYsed526dIl+Pv7AwBu3LiBpUuXYsWKFdi8eTPev3+PxYsXA1BnBalUikePHsHX1xd169ZFnz59jFn0HJdngrBKpULFihXx9ddf4++//0bt2rXh4OCAyMhI7Qf3nDlzEBcXhzlz5nBc2wxIJBL4+fnhq6++wi+//ILw8HAMHDgQz58/x969ewGo72KWlJSE8ePHIyoqCkuWLEm3/7ApEwQBSUlJGDt2LI4dO4YXL15g2LBhWLRoEXbt2gUbGxtMnz4d33//PcaPH48XL14AAObNm4c7d+5gyZIlqFKlipFfRd4nkUhw/fp1+Pr6YsOGDYiOjkaTJk3w6NEjXLx4EYC6VTIxMRE//fST9gObx23GdFssz507h8WLF+Prr7/G4sWL4enpiYCAAJw5cwaAuo4fP34MX19f+Pj4aMcNppQ0/5/+/fdf/PHHH5DL5Thy5AgOHDiASZMm4c6dOxg6dCgePHiAwMBA/PDDD3B3d8ekSZOMXPK8T7cb2d69e3Hx4kU4ODhg3759uHDhAvz8/LBr1y7tifH+/fuxZMkSDB06FL179zZm0fM8a2tr1KlTB4GBgYiLi0NcXJw2GK9evRqbNm3C3r17IZFIcPr0aUyfPh09e/YskMMmGj0I37lzBxcuXICFhQXOnj2Ljh07onv37ujTpw927tyJ8PBwxMfHY/DgwfDw8MCoUaP41bIBrl+/joULF2Lq1KkQBAHnz5+HTCbDJ598guPHj+Ply5dITEzEihUrULlyZUyZMoX1mg6lUgkLCwv07t0bO3fuxC+//IJevXph+fLlKFmyJDZu3Ij69etj2rRpcHV1haOjIxYvXozY2FgsXLhQ70Iv0qcb0O7du4fZs2fj22+/xatXr3D16lVYWFigePHiOH78uPbzYMaMGahYsSKmTp3K49YASqVSr54qV66MqKgoBAcHAwCaN2+OIkWK4ObNmwDUIxrMnTsXM2bMQK1atYxR5DxPt+vZ8ePHsXHjRgwYMAA//PADunfvjosXL+LWrVtYuHAhVq1aBQ8PD9y6dQvdunXDoEGDjFjy/EMikSAhIQHDhg1DeHg4RowYAR8fHxQtWhTLli1DmTJltH+HEydOYM+ePZg6dSoaNWpk5JLnXZo+1J6enjh9+jR27twJiUSCkSNH4ty5c/Dz84ODgwO2bNmCevXq4d27d7h27RrGjRuH1q1bG7n04jDqqBF79+7Fhg0boFAo0KVLF3z22Wfo1asXxo4di61bt6JHjx744osvAKjv0JX86lv6KHnH9ZMnT0IikaBYsWLYsmULQkNDUb58ebRq1Qru7u7aFrSMRpEg/Qsyk5KScO/ePcyYMQO+vr5o3Lgx7t+/j3379sHa2hojR47UBg7Wbea8evUKjx8/xuPHj+Hp6YmlS5eiW7ducHR0RJkyZaBQKFCxYkUAwPPnz3lb30xKSkrSnvDWrVsX9vb22LJlC0aMGIG6devi9evXsLa2hr29PTZs2ABvb29+bZ8GzeetIAhISEjA27dvsWzZMlSvXh3e3t6wsLDAwYMHcf/+ffj6+vIbzExIPhLEs2fPMHDgQAwZMgS9e/dGfHw8Fi1ahIiICADqvtaA+gY75cuXZ12nQbcLz5s3b3D8+HE4Oztr78VQs2ZNvHr1CgcOHMCcOXNQokQJAB8voC/I9Wq0IHz16lWcPn0a48ePR1JSEtq1a4dZs2bBxcUFDx8+hLW1NTw9PTkqhAF06+jq1atwcHBApUqVcODAAdy6dQtTp07F4sWLERYWhh9++AElSpTgeJUG0q3bP/74A0uXLsXhw4fh5+eHU6dOYfLkyShevDhu3ryJYsWKacMZ6zdjunV74cIFXLx4EV999RU+//xzuLu7Y8uWLVi/fj3u3LmDOXPmwNzcnJ8HmRAWFgaVSoVSpUohKioKP/30E2rUqIG2bdti7ty56NGjBxQKBf766y+sXLmSd+bMpBcvXmD27NkoXLgw6tatCzMzM1y7dg0tWrRAixYttN8iFaSLisSm+/4+d+4c5HI5ChcuDHNzc8ycORPjx49H3bp1ERoaioiICLi6uhq5xPnPpUuXsHbtWjx69AidOnVCw4YN4efnBxsbG1SvXh0A0KBBAyOXMnfl+n+UpKQkTJo0CRs2bMC2bdtw7NgxWFhYYP78+Rg4cCBev36NRo0awdPTU3vBF6VPKpXi3bt3GDx4MC5dugRfX1/s3r0bNWvWxIULFzBt2jQ8ePAAEydOZAg2UFJSEmJjYyGVSqFQKDBu3DjExcXB29sbQ4YMQfv27VGlShXMmDEDiYmJqF27tl4LJes3Y1KpFDExMbh//z6aNGmC+/fvIygoCLNmzUJUVBTmz5+PixcvYvLkyTA3N9euQxmTy+U4ePCg3jcZMpkM/fv3h7OzM0aNGoUVK1agffv2GD16NENwJr1//x7z5s3D4MGD0aVLF/zxxx9wcHBAvXr1sHfvXoSEhKBQoULaVmMyjOZ43bBhA9avX4/ExEQsWLAA4eHh+OabbzB9+nSEhISgZMmS2hCc2jCA9NHVq1dx6dIlAEBISAhWrlyJiRMn4u+//8arV68QFBSE6tWrIywsDEWLFtWGYFM6bnP1v4rmAheZTIYVK1Zg0aJFWLp0KR48eAAvLy+sXbtW7wyPYcJw27dvR9OmTfHdd9/B3t4ep06dQpEiRTB69GiULVsWq1atgq2trfbqWkpbXFwc1q1bh9jYWADqfqvv3r3Dd999p+1/1r9/f4wePRq1a9dmfWaRIAhYsGABvv/+e+zbtw++vr64f/8+2rdvjwULFuCzzz7D6tWrYW9vr3flOKUvODgYz58/x4ABAxAeHo5du3bh1atXKFWqFG7dugUAKFy4MMqVK6e9QxRgWv/4Mit52NL8HhYWhnXr1uHrr7/GkydPtCcWTk5O2mX5+ZCx2bNn45dffgEAxMfHIyAgAPPnz0dMTAzs7Ozw+PFj1KpVC927d9eOKKPBk+O0JSYmwtraGg0aNMDLly9RuHBhqFQqWFpawsHBAT4+Pti0aRMkEgmGDh2qN8qGKR23udY1IjY2FjY2Nti8ebN2OKlixYppr048ceIEzM3NIZFI+PVnJly/fh1BQUEoWrQoTp8+jadPn2L8+PGIjIxEWFiYto81wJsNZMb79++RkJCA4OBgFCpUCP/88w+6d+8ONzc3BAcHo0uXLmjfvj1mzpwJgF0hDKFbR0+ePEGxYsUQExODGTNmIDQ0FJUqVcKbN2+wefNmvfV43GbOixcvsHLlSlSpUgWCIODevXvo2rUr7ty5g8jISLx//x4hISEYNGgQPv30U2MXN8/TPW7//PNPlChRAu7u7trx7P/66y8AwIwZMzBnzhzttSz8TDBcVFQUunbtiokTJ6J169YYNWoUrK2tYWtri7Fjx+L3339H586dUblyZQCsW0Pofm5ev34de/bsQZcuXXD//n2EhIRg9OjR2L9/P/bv34/IyEhs2LABxYoVM8m6zZWBN3fs2IEjR46gZcuWaNmyJWJjYzFt2jQsW7YMQ4cORe3atfU6YjMEpy21k4S3b9+iZMmSCA4ORt26dSGXy7FgwQKMHz9euwzvZpYx3Q+OwoUL48CBAwgICEC7du2gVCpx+PBhnDlzBrdu3cIvv/yCTZs2aS/aMrUPjszSrdvY2Fhs2rQJUqkUnp6eGDRoEBQKBUJDQ7Fq1Sr4+/ujRo0aKcZjpvRpPhvs7e3x5MkTXL9+HZs3b4arqytOnz6NNm3aoFSpUnj27BmqVKnCi48NoHvcbt26FWfPnkW9evVw/fp1NG7cGN27d8f69evx/PlzTJo0Sa9O+ZlgOJlMBhcXF4wdOxb//PMPWrZsidWrV2Pp0qVYvHgxQkND2cqeSTKZDBEREZg2bRo8PT1RtWpVnD9/HtWrV0dcXBwmTJgAe3t7bN68GWPGjMGLFy9QrFgxk6xb0VuEf/vtNzx48ACdOnXC6dOnUalSJXTp0gVLliyBmZkZpk2bJubuC6x79+6hdOnSiI2NxYwZM/Dbb7/hzJkzCA4Oxo0bNzB06FDUqFHD2MXMN3TPgnfu3AlLS0vUq1cPW7ZsgYODA5ydnWFpaYnz58+jadOmKFGiBKZOnYolS5bwJhkZ0K3bBQsWoGrVqnjz5g3at2+PH3/8EVKpFB4eHpgwYQLi4uI4UkEWaOpY883bpUuXEBAQgODgYEyZMgXbt2/HnTt3MGzYMG1Y4zdv6dPUaXh4OP766y+YmZlh6NChkEgk2LJlC8LDwzFs2DDExMSgWLFisLa2Zp1mwf379zF58mSMGTMG/v7+OHr0KLZu3YpDhw7h7du3SEhIwKhRowCwJTgjuvXz7t07jBs3DlWrVsX48ePx5MkTnDp1CtHR0RgyZAiCgoIQEhKCa9eu4d27d1i0aJHJ1q2oLcLh4eFwcHDA1KlTcfz4cURFReHWrVuIj4/Hd999Z7KVnl0XLlzAP//8g6SkJEyYMAFOTk7Yv38/unbtCgDo06eP9na0rOOM6f7zGjt2LGxtbWFvb48TJ07A29sbZ86cwfv37zFgwABYWlriwoULuHDhAsaMGcMQbADNneLGjBmDUqVKoXDhwti6dSvKli2L33//Hdu2bcPVq1eRlJQEKysrYxc3X9LcQGfRokWws7PD+PHjUaVKFaxZswazZs2Cm5sb6tatq9diycCWPolEguDgYPzyyy8oUaIEoqKisGvXLvTt2xetWrXC+vXrcfv2bXzyyScAeGJhqORdnUJDQ1GuXDk0bNgQDRs2xOvXr9GzZ0/s2bNHbz3Wb/p0/98fOXIEsbGxePr0KaytrREeHo7KlSsjIiICR48eRVBQECpVqoR///0XJUqUwP/+9z8jl964RDmqXr16hW+++QYLFizAvXv3cOnSJcTFxWHZsmUA1Ad0sWLFUKJECV7xmQVNmzbF9OnT0aJFC0ydOhUhISF48OABAHXdMgRnjmbUjTVr1qB8+fKYMmUKYmNjtTchGDx4MGxsbFCkSBG4urqiadOmWLp0KerXr2/soudZyb9oevnyJUqWLImpU6fik08+waRJk3D06FFYW1tj8ODB+Ouvv2BhYcF/dJmg+9l5/fp1/Prrr5gzZw5KliyJefPmwdzcHH379kVkZCRUKpX2RJkXxaVNt07fvHmDX3/9FQ4ODpg8eTK6dOmC8PBwHDx4EM7Ozhg5cqQ2BAM8sTCESqXShuAjR47g7du3KFKkCEqXLo2TJ08CUA/dFRcXh6dPn2qPVY4glTHN//t169Zh/fr1cHBwQMmSJXHs2DGsXbsWsbGx8PLywrBhw1CzZk3Y2dlh2LBhGD58uJFLbnw53iIcFBSEpUuX4tNPP4WdnR3mzZuHsLAwNGrUCCNHjoSTkxO+++477fI8uNP2+vVrlC5dWi/Uap4XKlQI3bt3R926dXHjxg3MmTMHffr00bb4MARnTmRkJPbs2YOkpCQcO3YMo0ePRuPGjTF58mT8/PPPGDJkCADAysqKd9rKgG7LzcuXL2FpaQm5XI4bN24gKSkJFhYWiI2NhYWFBczMzLTHKlt8DKdbVy9evEBoaCjatGmDyMhIWFhYIDIyEhMmTMDPP/+MuXPn6rXA8bMhdbotlc+fP0eZMmXg5uaGoKAg3Lx5E40bN0ZYWBju3r2Lpk2bam+Ww0aHjGmOV6lUCqVSiZkzZ+LmzZuoXr066tWrh5IlS+LEiRP4+++/oVQqsWHDBr2bEbF+DRMbG4vLly9j2rRpcHFxQcWKFdG/f38cPHgQjo6O6NWrl/ZbTB63H+VoEI6Li8PevXvx/v17eHt7AwBiYmIwadIk2Nraok2bNnqtEvwjpC0gIACLFi3CmDFj4O7urv0gSR6IK1SogAoVKiAkJATv37/nBTCZdPDgQSQmJqJt27YYN24cXr9+jb///htJSUn45ptv8Omnn8LBwUG7PI/ZjGkC2tq1a3Hs2DEkJiZi4sSJqFatGgYPHozOnTtjz5496Nu3r159MgQbTlNXM2bMgJmZGb777jscPnwYW7duxZw5c7B582YcOXIEVlZWvNjQQJp6mjx5MqKiolCpUiU4OTmhZMmSuHLlCmxtbdGhQwd88skn/EzIhMjISPz+++8YM2YMYmNjMXnyZDRo0ABTpkzBxo0b8ebNG1StWhWdOnWCv78/mjZtCgsLC54YZ4GlpSUqVKiAV69ewcXFBZUrV0abNm3Qtm1b1KxZU29ZHrcf5ehRZm1tjc8//xzly5fHpk2bAABffPEFBg8ejB49ejAEZ0KJEiXQrFkzbNiwAW/fvoVUKtX72k73682nT5/i6tWrrNMsePr0KRYsWIBffvkFhw4dAgDMnDkToaGhGDJkCAYMGACAXydn1vr16+Hn54etW7fi22+/xYYNGzBq1Cj069cPSUlJGDt2LDp06GDsYuY7usfhjh078PDhQ7Rt2xbW1tbw8vJCXFwcRo8ejWvXrmHFihUoXry4EUub/6xZswYlS5bEkiVLcPHiRbx48QJeXl54+/Yt/vvvP1hYWOiFYErfgwcPEB0djW+//Rbv3r1DkSJFEBYWhidPngAAunbtiqSkJFy+fBlSqRStWrWChYUFlEolQ3AWmJmZoVatWjh//jx+/fVX/PDDD4iLi0OjRo209xGglEQZNeLSpUs4d+4cKlWqhJ49e+b05gs03a/nIiMjsWXLFoSFhWHSpEkwMzODSqXSGwrt999/x9u3b/HNN9/wAzoTli9fjs6dO+P/7d19VM73/8DxZ13dUFnKVVG5SaSGhmRLfLfjFFMNO2gIR+5mhk3ZDC0mzbDcDGOabRymzOTuRDdGUm5P0bncHhTp6t5Nd+7q6veH0/Wr+bLY2pWv1+Mfx/b5OO/zPu/r9Xl9Xp/3zaNHj0hJSaFVq1asWbOGW7dusX79+jo7bsiL21+rXb0pKyvju+++Q6VS8euvvwIQERFBs2bNmDx5svYe6df6q91XarUaAwMDiouL2b9/P+bm5vj6+tK8eXNSUlJQqVTa6WdSVXu62n1as9vG8uXLMTMz4+bNm9jb22NtbY2zs7N2TYuov8LCQjZv3oy+vj6BgYGEh4dja2vLhAkT8Pf359NPP+Xdd99FrVaTn59P9+7ddd3k/xnp6emcPXsWU1NThg8fDki8fZYGSYQ1Gg27d++mtLSUgICAOp/0xZNqBmjNn5mZmSQmJmqTsZMnT6Kvr8/06dPr3Ld48WKKioqYP38+r732mi6a/tKKjY3l6tWr3L17l4KCAoKCgtBoNCQmJhIQEICpqamum/jSycrKIiEhgS5dumBoaMjx48cBmDZtGsHBwXh4eGinTIkXs3fvXnbs2IGdnR1OTk4YGxtTUFCAlZUVfn5+deKAJMH1Ex8fT1xcHH379sXa2prPP/8cf39/ZsyYQWBgIIMHD9Z+zZQ+fT5paWmcPn0aY2NjvLy8CA8Px8/Pj44dOzJixAg2bdok23z+C2TcPluD9Iy+vj7vvfceY8eORaFQSBL8F0pKSoDHc3ZSUlIICQnBxMSExMREDh48SJ8+fVCr1fz888/a64OCgtDT0yMiIkKS4Bfg4+PDyJEjcXJyIj09ndDQUKytrZk8eTKmpqbyCek5paSkMG/ePExMTEhISODAgQN4eHiQnp7OkCFDcHZ2liT4Bezdu5fo6Gjg8W48sbGxbNq0CScnJxISErC3t8fR0ZHMzExKS0vr3CsPvr925MgRvv/+e8aMGUPbtm3p3r07s2bN4tKlS0yYMAFfX19tEgzSp/VVEz+TkpIwNTWluLiYtLQ0Zs6cybZt27RfjczNzXXc0leDjNtna7B9hA0MHv/TUo5/toyMDKZNm8bu3buxsLBApVIxb948Hjx4wL59+xgwYACGhob4+vqir69PRUUFISEh9OjRQzt/VbwYpVKJv78/ZmZmGBkZYWZmpv1/Ejie7c8VhnPnzj0xbps0acLEiROJioqic+fOgByX/DwePXqEsbExBw8epF27dnTq1Inbt2+zYcMGLl++zCeffML58+cZNWoUnp6eWFhY6LrJjd6fx19WVhYDBw7U7gQTERGBt7c3S5cu5d69e9o51vIcq5+afqqJDYaGhjg6OmJhYUF6ejqWlpZMmjSJPXv2MH/+fECqlUL3Gnz0SfB4uqqqKlxdXRk8eLD2OOTCwkLCw8PZvHkzK1asACA7OxtPT0969+6NiYkJ06dPlyT4H+Tj44OXlxcgi+Lqo/ZClosXLwKPt/BavHhxnXGbmZlJt27d6NevH9HR0dy+fVuS4HrSaDQYGhri6enJO++8Q1RUFCUlJbi5ubFp0ybtHu0nT56ksrJSkuB6qNnDtqKigsTERLKzs3F3dyc1NVW7D/udO3fIzs7G1NS0zkJDeY49W03c1NPTQ61Wc/XqVeBxQUGlUuHj44Ojo6N2D+aaJLjmGiF0qcGPWBb/Xc2bs0ajYePGjURHR9O/f3+mTZuGr68vEydOBCAhIYHw8HDs7OzkzVk0Gg8fPiQ4OBgrKysGDRpEmzZteP/99/noo4+oqqoiISGBRYsWYW9vT0lJCZWVlbKY8znl5ORgYGBASUkJGRkZnDx5ksDAQGJiYqioqKCiooJvv/1WkrTncO3aNcLCwlAqlWg0Gvr378+DBw+IjIykQ4cOVFVVsXLlSomzz6F2tTw2NpaffvoJOzs7HB0dGTlyJHPnzmXZsmWUlpZy584d7TZeUmUXjYUkwjpSXV1NWVkZM2fO1FZ95syZw9ChQ/H09OTIkSPcvHmT6dOnY2xsLEmw0KnaFZ/79++zevVqlEolI0eOZMOGDfTu3RuFQsHly5fJzs7Wjlt52L2YQ4cO8eOPP+Lh4UFubi5eXl5kZWWhVquZM2cOFRUV2qk8EhueLikpCZVKxccff0xZWRlffvklw4YNo3Xr1ixfvpymTZvy4Ycf0rRpU+1WaSB9+iI2btxIcnIyw4YNw93dnQULFuDs7Mwff/zBqlWraNeunfZaiQuiMZFf+r+o9juHnp4eCoUCCwsLvL29cXBwYPny5axatYpz584xYsQIZs2ahbGxseypKHROT08PPT09MjIySExMJC0tjZKSEmbOnImVlRVfffUVGo2GDz74oM64lYdd/dQsLqqurqaoqIgtW7awcuVK7O3tuX79Ojk5Obi5ufHgwQMuX76sTYLl6Nln69ChA9u3byc2NhYzMzPefvttysvLWbVqFd7e3pSVlbFw4ULMzc21SbDE2+dXWlrKqVOnmD9/Pn5+ftjY2GBlZUWfPn1o1aoVq1evrnO9xAXRmDTYYjlRV+0Kw9GjRzE2NsbAwAClUolKpaJFixbcu3ePrl27Ul5eXudemVcpGoPk5GTCwsKIiYmhb9++3LhxA3d3dzw8PEhMTMTQ0LDO9TJu66f2Aq7S0lKqqqqwtrYmPj6e1NRUvvjiCy5cuIC9vT2zZ8+us7WfJBT/XU2f2tnZERERwezZs3FwcGDgwIFERUUxdepUcnNzadKkCVOmTKFJkybae2XcPj9jY2Nat26NWq3GwcFB+9/d3NxwdXUlIiJCquyi0ZJE+F9SEwCWLl3KpUuXaNWqFc2bN6e4uJjz588TFxdHTk4Oc+fO1a5gFkKX/rzCXq1Wo6enx927d7G1taVp06Zs3bqVdevWERgYiKurqw5b+/JSKBTcv3+f0NBQDAwMGDt2LIWFhURGRhIfH8/27duJi4tj4MCBsr91PdQsinv48CFnzpzBxcWF0NBQZs2axZYtW8jLy2PhwoWUlZWxcuVKWrduLZ/q/yYjIyPeeOMNkpKSuHz5MiqVSjtWt2/fTkFBgfSvaLRkjnADq51MnDt3jsjISFauXMmdO3c4fPgwN2/eZNiwYeTm5mJlZYW9vT0gc6iEbtVUb6qrq4mMjKRz585UVVWRn59Peno6n332GRYWFly/fh0zMzNatGgByLh9XtXV1Tx69IgZM2bQpUsXBgwYQMeOHbl+/TqhoaF06dKFnJwcli1b9kTFXTxdfn4+wcHB2Nracvz4cdauXcuxY8c4ceIE69ev5/r167Rt2xZDQ0OpVP6DTp8+TUZGBqamptpTZfPy8mjZsqWOWybE00lFuIEpFAry8vI4dOgQeXl5FBYWAtC8eXOUSiWnTp2iZcuW2kBRE5QlmRC6pK+vT1FREZ9//jl2dnbA41OiBg0aRPv27VmyZAnffPMNbdu2Bf4/AZZx+9dqJ16VlZUYGRlhaWnJtGnTgMcHZyQmJrJ27VqMjIwwMjJ64j5R15+PoI6IiKBfv36MHz+exMREZs+eza5du0hLSyM2NpbBgwcDsq/1P61nz5707NlT+/fq6mpJgkWjJ1G1AdQushcWFhIcHMz58+cpLi6muLiY8PBwCgsL2bp1K61atapzrzzoRGNQVVXFmTNncHNzIywsjNGjR+Pp6cm1a9fw9PTEw8OjzvWSANdfzW88JiaGsLAwLl68SFZWFgsXLgQeJ8KHDx+mrKxMWwWWRXFPV3tR5oMHDygpKcHQ0JD8/HwePnyIl5cX3bp1Iysri/Xr12uTYJD5wA1Jvg6Jl4VUhP9htX/8CQkJ5Obm4uPjQ0BAAKdOnaK8vJyDBw9iZmZG9+7dmTx5so5bLAScOHECjUaDh4cHsbGxZGZmkpycjJOTEwAmJiZUVVVhaGiIi4sLLi4ugDzsnkftiu7atWs5efIk/v7+2Nra8sMPP+Dv78/XX3/N6dOnmT17dp1KmvTx09Uks6tWreLu3btMmjSJoUOHkpqayi+//IKDgwPnzp2rM7VEqusNT8aseFlIIvwPq/nxR0dHs2/fPl5//XVUKhW9evXC3d2d/Px8ysrKGD16tHZepQRloUuVlZWoVCoKCgo4deoU6enpDBkyhNzcXM6ePYu9vT12dnbEx8czderUOvfKw65+as+5Li8vR6FQEB4ejr29PeXl5Rw+fJiIiAhatGjBhAkTsLGx0XWTG7WKigpu3LhBx44dUSgULFy4kMrKSkaNGsXZs2dxdHSkffv2xMXFcfToUdatW4etre0TRwALIYREgwZw6NAhdu/eTUhICHPmzMHb25utW7dSWFiIn58fS5YsqbO4SIKy0CUDAwOGDRuGUqkkNTWVoKAgBg8ezKJFi7CwsODMmTOo1WrmzZtHnz59dN3cl07NbzwnJ4cpU6awYMEC1q1bx759+wAwNTXl999/R6PRYGNjg42NjXZfYfGkoqIiAgICqKysRKFQUFZWRmVlJT179iQqKoqkpCR27tyJjY0NXl5eODk5kZ+fD8iLmxDiSZKBNYCOHTvi5OREbGws9+7dw8fHBwMDA+Li4gCwtLSsc1KXELpmbm7OoEGDcHZ2Ji4ujtLSUvr27cu4ceNo1qwZEydOpHPnzpKgvQA9PT0uXbrEggULGD58ON7e3jRr1ow1a9awefNmxo4dS9euXenSpYv2Hnk5fjqlUomZmRm//fYbixcvJjc3l+7du2NkZMRbb73F/PnzUalUWFhY0Lt3b2xsbLhy5Yqumy2EaKRk+7QGcvHiRfbv34+1tTUBAQEUFBRgbW2t62YJ8UwXL17kwIEDNG/enHHjxum6Of8zjh07RmZmJm5ubuzcuRONRsOuXbtYsWIFGo2G//znP4DMuX6W2n1TM5UkJyeH8ePH4+/vT3Z2NleuXCEmJgZfX1/GjBkDwK1bt7C0tNRl04UQjZjMEW4gzs7OFBUVER8fz9WrV3F0dARkPrBo3GqP20uXLtGpUydAxu3f5eTkxP3791m7di0hISFkZGSQnJyMUqnE2dkZkCT4r9T0zfr167l69SojRoxg27Zt7NixA0tLS958801cXFxwcHCgV69ewOM+lSRYCPEsUhFuQBqNhvz8/Ce2SBOiMZNx2zDy8vLYsmUL9+7d054i2aZNG10366Vy+/ZtgoODCQ0NpV27dqSlpREUFERlZSVz587Fx8dHe628WAgh6kNKPA1IX19fkgnx0pFx2zCUSiUODg4oFAqWLl1KmzZtkDrE8zExMaF9+/ao1WoAevTogbOzMz169NBOL6khSbAQoj6kIiyEEDog001ezJ49e8jIyMDGxoYLFy7g6uqqnc8ufSqEeF6SCAshhHipnD59mvT0dJo2bcro0aMBOS5ZCPFiJBEWQgjxUpNKsBDiRUnkEEII8dKSQ4mEEH+HRA8hhBAvLVkUJ4T4OyQRFkIIIYQQryRJhIUQQgghxCtJEmEhhBBCCPFKkkRYCCGEEEK8kiQRFkIIIYQQryRJhIUQQgghxCvp/wCFcMhb9FohHAAAAABJRU5ErkJggg==\n", 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bNGuE5JnVq1ezevVq5313d3eKFi1K69ateeihh2jTpo3zsb179wKOYQdr1qxJcpz4X4o3j/WrWLFihupx4MABwPGL92bFixenatWq7N+/n7CwMAoXLuysa+JhG4lVqVIlyf1ChQoBjj/eFoslyWOenp5cv37deb927drUrl2biIgIdu7cyYkTJzh+/Di7d+/mxIkT2O32ZOe74447kpXF19NqtSZ5jomHcMRLHM737NkDOMYhJg6WgPMj3vhjpSQqKooTJ07QtGlTPD09kzzm4+PDSy+9lOq+GZHSz7RPnz4sWLCAZcuWOYPR0qVL8fDwoGvXroBjlgLDMAgNDeWLL75Idgx3d3fOnTvHhQsXKFOmDD169GDp0qV06NCBhg0b0q5dOzp06JDlEH/s2DGio6Np1KhRkiAVr3HjxqxYsYIDBw7QvHnzVJ9vkSJFqF+/Pps2bcIwDOLi4tiyZQsDBgzAzc2NzZs3O5/D2rVrqVGjhvMYVatWpWrVqsTExLBz506OHTvGyZMn2bt3r3MM7c3t6+bznzp1isjISOrWrZvsOdStWxd3d/csvT6Qufd42bJl6du3Lzabjb179zqfy/79+/nvv/+AhICZk25+PTLbrlLSt29fZs2axbhx45gxYwbt2rWjXbt2tG7d2vm7A7L33oyIiODYsWOUKlWKb775Jtnjly9fBhyvb40aNThw4ADly5dPVmeTyZTpKS3Dw8M5deoUjRo1wtfXN9njjRs35scff0xW94z8XhPJDQrCkmc++uijFKdPS0lYWBgA3333Xarb3NybdXMQS038mNWUfkkDlC5dmv379xMVFeX8Rezl5ZXq8RL3ZiWWkRkEYmJimDBhAnPmzHFeFFKmTBmaNm1KsWLFkvRQpnXc+J5YwzAAnGE7tecYL/51nj17dqrb3Pw6J5bR82RVSq978+bNKVu2rDMIh4SEsGHDBjp27Iifn1+Seu3YsYMdO3akevzQ0FDKlCnDxx9/TN26dVmwYAGbN29m8+bNjBs3jrp16zJmzJhUx0KmJr6Nxbefm5UuXRqA6OjodJ9v+/bt2bZtGwcPHiQmJobw8HCaNWuGm5sb33//PVu2bKF58+YcOHCARx991LlfXFwc3377LVOnTnX+DEuUKEHDhg2pUKECwcHBzvYS7+b3UPx+Pj4+yeplsViy9XPP7Ht89uzZfPXVV1y8eBFwjD+uX78+1apVY+fOncmeS064+eeR2XaVkpo1azJ37lwmT57MP//8w9y5c5k7dy6FChVi6NChPPfcc5hMpmy9N+Pb36VLl/jyyy/T3f/69euULFky1e0yI/6Cwsy2/Yz8XhPJDQrCUiAVKlQIi8XCzp07s9XrlJL4P+rxf1BvFv/HrmjRojl63pSMHTuWmTNn0rVrVx566CECAgKc5+3evXuKQTgj4nuWIiIikk1ZFR0djYeHB2az2bndqlWrqFSpUrbOk5LIyEjnNvF/1G7uucvsVeFms5mePXvyww8/cODAAXbu3InNZkuyWln8OZ966qlkH6enxN3dnUceeYRHHnmEs2fPsn79ev744w/WrVvHk08+yerVqzPVDuPb2IULF1J8PDNtrF27dkycOJENGzZgtVoxm800bdoUs9mMxWJhy5Yt2Gw2DMNI8nH9jz/+yKRJk2jWrBmPP/44tWrVcg57eOyxxwgODk733EWKFAESQmtihmFk64r+zLzHly9fzttvv01AQABvv/02derUoVy5cgC8/fbbKV54eLOcaH+ZbVepqVmzJpMmTSI2Npbt27fz77//smDBAiZPnkyZMmV48MEHs/XejN+3SZMmSS7OTWv7jLyHMyIn275IXtAYYSmQAgICsNvtKU51tGPHDsaNG5dsfGVGxffuxU8NlVh4eDj79++nSpUqeTIn7JIlSyhRogSfffYZzZs3d/5xiI6Odk5PlZXeEH9/f8AxRdzNxowZQ/369Tl16pRzqq+bxysCHD9+nI8//pi//vor1fMULlyYcuXKsX///mQzbcTGxtK6dWseeeQRAGfYuTl43DwFWEbEjwVevXo1f/zxB35+fklCYPzziv94+Waff/453333HbGxsZw6dYoJEybw999/A1C+fHnnbA8tWrTgwoULnD59OlP1u/POO/H09GT37t0prrgVP7Y3I0MvateuTalSpdi4cSPbtm0jICAAPz8/fH19qVOnDlu2bGHt2rUUKVIkyRjLJUuWYLFY+Oabb2jXrp0zBBuG4Zx+Lr22VblyZQoXLsz27duTPXbkyJFkvXqZkZn3+JIlSwAYP348nTp1coZgIMPPJSfaX2baVWoWLVrE+++/j2EYeHh40Lx5c1566SXnUIv430vZeW8WLlyY8uXLp/ozWrRoEV988YWzXfv7+3P27NkU//G+9957nUOOEl8DkBpfX18qVqzI8ePHU7zGITNtXyQvKAhLgRR/Yc6HH36YZPqt8PBw3nnnHaZMmZLi+NmM6NSpE4ULF2bmzJnOcYrgmEv2gw8+IDo6OsmcornJ09OTmJiYJOOG7Xa7sx6QtfFxvXr1wmw2M3nyZOdUW+D4o798+XIqVapEpUqV6NOnDxaLhUmTJiX5I2iz2Xj//ff58ccfk83tfLM+ffoQFhbGV199laT8559/JjIykpYtWwKOcAg4Ayc4eucyMkXbzWrWrIm/vz/Lli1j8+bNdO3aNck/LpUqVaJp06b8+++/yeZcXbRoEV999RVr167Fw8MDLy8vpkyZwmeffZYkwMTGxnLp0iU8PDwydBFmYh4eHvTs2ZOLFy/y+eefJ3ns33//Zfny5VSpUiXDFyG1a9eOLVu2sH37dpo1a+Ysb9asGcHBwaxZs4Y2bdokuTDJ09MTu92eLIx89dVXzgs2b57T+mbu7u706tWLkydPOufGBsdrk5WLCBPLzHs8fshG/NjWeIsWLXKOd078XOJDb+L3Tk60v8y0q9Ts2LGDGTNmJLvYNz6Uli9fHiDb782+ffsSGhrKuHHjkvSCHzlyhPfee4+pU6c6//Hu06cPhmEwbty4JL9Xly9fzokTJ5zv4fj2ld7vpL59+xIdHc2HH36Y5Oeyd+9eZsyYgZ+fX7L5sUXyi4ZGSIHUokULhgwZwvTp0+nZsyft27fHw8ODVatWce7cOQYOHJjkIqPM8PX15cMPP+T5559n4MCBdO7cmRIlSrBx40YOHTpEkyZNksxLmpt69+7Njz/+SP/+/enUqRM2m41169Zx7NgxihcvztWrVwkNDXWOq8uoatWqMWLECD7//HPuueceOnTogGEYLFu2jJiYGMaOHQs4LlB56aWXGDt2LL169aJjx44UKVKEf//9l+DgYDp06ODsfU3Nk08+yZo1a5g8eTJbtmyhfv36HD16lDVr1hAYGOictaBXr1589tln/PDDD5w6dYqKFSuyfv16wsLCnH/8M6NPnz6MGzfO+Tre7L333uOhhx7i2WefpV27dtSoUYNjx46xZs0aihYtyttvvw1AqVKl+N///sfUqVPp1asX7du3x2w2s3btWoKDg3nqqaeyNBb2pZdeYtu2bUyZMoUtW7bQsGFDTp06xV9//YWPjw+ffvpphnrYwDFOOH4mk5uD8Pfff094eLhztojEr8+OHTsYNGgQ3bt3x93dnU2bNrF3715KlCjBlStX0v0nB+D5559nw4YNjB07lnXr1lGtWjU2bNhAaGhohsflpyQz7/E+ffqwdOlSRowYQc+ePfH19WX37t1s3rw5xecSPz739ddfp3Xr1s75uXOi/WW0XaXmscceY/ny5bz44ov88ccfVKlShTNnzrBy5UpKlSrF4MGDgey/N5944gnWrVvH9OnTCQoKolmzZly/fp0//viDqKgoxo0b52zXAwYMYOXKlSxatIiDBw/SvHlzLly4wMqVK6lYsaLzgrlixYrh4eHBpk2b+Oijj+jcuXOyhTTAMX/zunXrWLx4MQcPHqRFixZcuXKFVatWYRgGEydOzLXrCkQySz3CUmC9+eabfPLJJ5QrV47ff/+dhQsXUrJkST788MN0/9ikp0uXLsycOZPWrVuzdu1a5s6dC8DLL7/MtGnT8myp3Oeff55nnnkGs9nMzJkzWbVqFRUqVOCHH35g+PDhAPzzzz9ZOvbTTz/NxIkTKVeuHL/99huLFy8mMDCQGTNmEBgY6Nzu4Ycf5rvvvqNmzZqsXLmSOXPm4Obmxquvvsrnn3+epJcxJT4+PsycOZNHH32U8+fP8/PPP7N3714GDx7Mjz/+6HwtS5Ysyc8//0zLli35999/+fXXX6lWrRozZ850XuSWGb1798ZsNlO2bNkUZwC58847WbBgAffffz8HDx7k559/5uDBg9xzzz3MmzcvyUezL730Eu+88w6+vr4sXLiQuXPn4uPjk+KUXRlVvHhx5s6dyyOPPMKlS5eYMWMGu3fv5t5772XBggXUr18/w8dq3bo17u7uzvHB8Zo0aYKbmxtms5m2bdsm2efBBx/krbfeomjRovz6668sXrwYHx8fJkyYwHvvvQdkrG0VKVKEWbNmMXDgQA4ePMicOXMoWbJkjrxPMvoev+uuu5g4cSKVK1dm8eLFLFy4kJiYGEaPHs3333+f7LkMHz6c+vXrs379eucY2Zxqf5lpVympWLEis2bNokePHuzZs4epU6eyZcsW+vTpw9y5c5NcZJed96aXlxc///wzzzzzDDExMcycOZN//vmHRo0a8fPPP9OrVy/ntvFDaJ577jmio6P55Zdf2LhxI71792bmzJnOseIeHh6MHj2aIkWKMHPmzBRXAARHD/60adMYOXIkVquVWbNmsXHjRjp06MCcOXOSTDcpkt9Mhi7HFBEREREXpB5hEREREXFJCsIiIiIi4pIUhEVERETEJSkIi4iIiIhLUhAWEREREZekICwiIiIiLklBWERERERckoKwiIiIiLgkBWERERERcUkKwiIiIiLikhSERURERMQlKQiLiIiIiEtSEBYRERERl6QgLCIiIiIuSUFYRERERFySgrCIiIiIuCQFYRERERFxSQrCIiIiIuKSFIRFRERExCUpCIuIiIiIS1IQFhERERGXpCAsIiIiIi5JQVhEREREXJKCsIiIiIi4JAVhEREREXFJCsIiIiIi4pIUhEVERETEJSkIi4iIiIhLUhAWEREREZekICwiIiIiLklBWERERERckoKwiIiIiLgkBWERERERcUkKwiIiIiLikhSERURERMQlKQiLiIiIiEtSEBYRERERl6QgLCIiIiIuSUFYRERERFySgrCIiIiIuCQFYRERERFxSQrCIiIiIuKS3PLjpEFBQflxWhERERFxQY0bN06xPF+CMKReody2f/9+atWqlS/nltuf2pfkJrUvyU1qX5Kb8rN9pdUBq6ERIiIiIuKSFIRFRERExCUpCIuIiIiIS1IQFhERERGXpCAsIiIiIi5JQVhEREREXJKCsIiIiIi4JAVhEREREXFJCsIiIiIi4pIUhEVERETEJSkIi4iIiIhLUhAWEREREZekICwiIiIiLklBWERERERckoKwiIiIiLgkBWERERERcUkKwiIiIiLikhSERURERMQlKQiLiIiIiEtSEBYRERERl6QgLCIiIiIuSUFYRERERFySgrCIiIiIuCQFYRERERFxSQrCIiIiIuKSFIRFRERExCUpCIuIiIiIS1IQFhERERGX5JbfFcgLVy+GsWHlPnZtOkZstBUPr50ENq9Kyy61KV66cH5XT0RERETywW0fhA/vPsOvk//Bbo8jzm4AEBttZdu6w+zcEMx9w9tTo16FfK6liIiIiOS123poxNWLYfw6+R+ssXZnCI4XZzewxtr5dfI/XL0Ylk81FBEREZH8clsH4Q0r92G3x6W5jd0ex8Y/9+VRjURERESkoLitg/CuTceS9QTfLM5usGvjsTyqkYiIiIgUFLd1EI6NtmZsu5iMbSciIiIit4/bOgh7eLlnbDvPjG0nIiIiIreP2zoIBzavitliSnc7Dy83wkIj86BGIiIiIlJQ3NZBuGWX2lgs6T/FsNAoJr+3hCN7zuRBrURERESkILitg3Dx0oW5b3h73D0syXqGzRZTkrLIsBh++ewv/pwXhN1mz+uqioiIiEgeu62DMECNehUY/nZvGretgeeNMcOeXu40bluDp9+7h6EvdMK3iLdz+/9W7GPqJysIuaS5hUVERERuZ7d9EAYI8XJjSZVifNioAu82rcSHjSqwpEoxQrzcqFqrHMNH96R63fLO7c8cu8K37y9l75bj+VdpEREREclVt30QXn7yCoHztvD9/rOEWe0YQJjVzvf7zxI4bwvLT17Bx8+bB5/pSOf7GjuHS8REWZn33VoW/7wBa4wtf5+EiIiIiOS42zoIB1+PYsCqvUTa4rDetK6G1YBIWxwDVu0l+HoUJrOJVl1q88gr3ShWyte53ba1R5jywTIungnJ49qLiIiISG66rYPw+F2nsKazxLLVHsfEXaec9ytULcmTb/WkbtM7nGWXzl1jygfLCfr3EIaR9kp1IiIiInJruK2D8IzDF5L1BN/MasD0wxeSlHl6e9Dv8Tb0HtoCNw8LADarnSXTNzHv27VER8bmVpVFREREJI/c1kE43JqxadBS2s5kMtGobQ2eeKMHpSsUdZbvCzrBt+8t4fTRSzlVTRERERHJB7d1EPZ1t2R7u1Lli/LY691p3N7fWRZ6JYKpn6xg/R97MeI0VEJERETkVnRbB+HBNcrgnv4KyzQs6Zvm2F93Dzd6DW7OfcPb4entmIs4zm6wav42fvlsNeHXo3KqyiIiIiKSR27rIDwqsBLuGVhi+Z9z1xi4eh/XYtOeJq124yoMH92LineWdJYF7zvH5HeXcHTfuWzXV0RERETyzm0dhKv5eTOvUx0KuZmT9Qy7mSBx0dyjl2g0fytbL11P85hFS/oy7KWutO5ex3mAiOvRTJ+0itULtmO3pT1LhYiIiIgUDLd1EAboXrkEuwY05Yla5fFzt2AC/NwtPFmrPLsHNGF4rYQV5Y6GRdPqt+1M3HUqzaESFjcznfo1YvBzd+NT2MtRaMC65XuYNm4loVfCc/lZiYiIiEh23fZBGBw9w1+28efaw23Z27YM1x5uy5dt/KlT3Jdv2vozt1Nt/G5cMGeNM3hhYzD3rNjDlWhr2setXZ7hb/fiztrlnGWngy/x7XtL2Rd0Ilefk4iIiIhkj0sE4fTcd2dptvdvQpNShZ1li09eocH8raw7H5rmvr5FvBn87N3c3a8hJrNjrER0ZCy/Tv6Xpb9swprOuGMRERERyR8Kwjfc6efN+j4NeaFeRWfZ6YgY7lq8gw+2ncCexjRpJrOJNt3r8vDLXSlSwsdZvnXNIb7/cDmXzl3L1bqLiIiISOYpCCfiYTEzvmV1FnetS3FPNwDsBry59Rjdlu/ifGRMmvtXqlaK4aN7UbtxZWfZxTOhTBmzlO3rjmh5ZhEREZECREE4Bb2qlGRn/ya0LVvEWbbqTAj152/lz9NX09zXq5AHA55sR8/BzXGLH3cca+f3nzaw4Pt1xERpeWYRERGRgkBBOBUVfb34q1d93mxYxTnN2sUoK12X7eKNzUexxaU+TZrJZKJJe38ee707JcslhOk9m4/z7fvLOHv8Si7XXkRERETSoyCcBjezmfebVuXPnvUpc2NFOQP4cMdJ7lq8g1Ph0WnuX6ZiMZ54owcN21Z3loVcCuOHsX+wYeU+Lc8sIiIiko8UhDPg7grF2Nm/KZ0rFHOWrb9wnQbzt/L78ctp7uvu6UafoS3p/3gbPLzil2eOY+WvQcz68m8iwtIO0yIiIiKSOxSEM6hMIQ/+6BHIR82qYrkxVuJqjI17Vu7huf8OE2NPe0W5us2qMnx0T8rfUcJZdnj3GSa/u4RjB87nZtVFREREJAWuEYSvBcM/T8EUP2r+XQem+DnuXwvO1GHMJhOvNqjCP70bUsnH01n+2Z4ztP5tG8HXo9Lcv1ipwjzySldadqntLAu/FsXPE/7k7992EJdOmBYRERGRnHP7B+ETy2FOIOz7HqxhmDDAGua4PyfQ8XgmtS5bhB39m9CnSkLvbtDlcBrO38rsIxfS3NfiZqHLfY15cGRHChW+EaYN+HfJbn4a9yfXrkZkuj4iIiIiknm5FoSvXLlC+/btCQ7OXK9rjroWDCsGgC0SjJuWSzasjvIVAzLdMwxQ3MudRV3q8lmr6njcWFEuzGpn0F/7eeLfg0Ta7GnuX6NeBYaP7kXVmmWdZSePXGTyu0s4sONUpusjIiIiIpmTK0HYarUyevRovLy8cuPwGbdjPNitaW9jt8LOiVk6vMlkYmTdivx3TyOq+SU81ykHztFsYRD7QtLu3S1ctBCDn7+bDvc2SLI885yv1rB81mZs1rTDtIiIiIhkXa4E4Y8//piBAwdSunTp3Dh8xh2akbwn+GaGFQ5Nz9ZpGpcqzLZ+TRhYLeH57g2JpMmCIH48cC7NFeXMZjPtetZj2Itd8CteyFm++a+D/PDRcq6cv56tuomIiIhIynI8CC9YsIDixYvTtm3bnD505lnDM7ZdbAa3S4OfhxszO9ZiSjt/vC2OlzXKHsej/x5kyN/7CYu1pbl/5RqlGT66FzUbVHKWnT8VwrdjlrLzv3wcXiIiIiJymzIZaXVXZsFDDz2EyWTCZDKxf/9+7rjjDr755htKlSrl3CYoKIhChQqlcZSc4f9vUyz29C8+s1t8ONRuS46d93CEjRcOhBIcmTC0oYq3hfE1i1Db1z3NfQ3D4MjOS+z85xRx9oQfTZVaJWh0d2XcPSw5Vk/JedHR0fk/JEhuW2pfkpvUviQ35Wf7ioyMpHHjxik+luNBOLEhQ4bwzjvvUK1atSTlQUFBqVYoR/3zlGN2iPSGR3gUge6LoMJdOXbqSJudkesP88PBhDmCPcwmxreoxtN1KmAymdLYG86fvMq8KWuTDI0oXrowA55sR7nKxXOsnpKz9u/fT61atfK7GnKbUvuS3KT2JbkpP9tXWrnz9p4+rcEosKTdAwtA7DX4rQP89ShEX82RUxdys/B9+5r80rEWvu6OXtzYOINn/jtC/z/3EhKTdjgvW7k4T7zRgwatEv6JuHoxjB8+Ws6m1fvTHHcsIiIiIunL1SA8ffr0ZL3BeapINeg6D9wKgemmQGxyB7MHWLwTyg78CLNqwqFfIIeC5oPVy7CtX2MalvB1li08fpmG87ey4cK1NPf18HLnnodb0ffR1nh4ugFgt8Xxx+ytzP5qDZHhMTlSRxERERFXdHv3CANU6Q4P7II6T4CHHwYm8PBz3B+0Dx46DHf2S9g+6hKsGgxLusG1ozlShRpFCrHh3kY8U6eCs+xEeAxtf9/OJztOEpdO6A5scSdPvNUzyZCIQztP8+17SzhxKO0FPEREREQkZbd/EAZHz3C7L+GxaxzosBceu+a4X6Qa+FaAbvMdY4R9Kibsc2olzKkL2z5Ofy7iDPC0mPm8dQ0WdqlDUY8bvbsGvLL5KD2W7+JiVGya+5co48cjr3ajeaeazrLrIZH8NO5P/lm8i7g4Lc8sIiIikhmuEYQzouo9jh7ieiOBGxey2aJg46swrwlc2Jwjp7n3jlLs6N+ElmX8nGUrTofQYP5W/j4bkua+bu4Wuj3QlEEjOuDt61ie2TAM1vy+k5/Hr+J6SGSO1FFERETEFSgIJ+ZRGNp+Bv03Qon6CeVXdsH8FrB2JMRmf4GLKoW9+Kd3A15tUNlZdi4ylruX7OTtrcewx6U9VMK/fkWGv9WTKv4JC3icOHSBye8t4dCu09mun4iIiIgrUBBOSZlmMGALtPwE3OIvpjNg9xcwqzYcXZTtU7ibzXzU7E7+6B5IKS/3+DPw3rYT3L10B2ci0r4Qzq+4D0NHdaZ970DnVGxR4THM+uJvVszZit2m5ZlFRERE0qIgnBqLOzR8CQbuhUpdE8ojzsAffWF5XwjPfu9r10rF2TmgCR3LF3WW/XPuGg3mb2XZyStp7ms2m7mrT32GjupM4aIJC5RsXLWfH8b+wdWLWp5ZREREJDUKwunxqwq9lkPnmeCdMBSBY4scvcO7v4S47PW+livkycoe9XmvyR2YbwxPvhxtpecfu3lpYzCx9rQvhLsjoAzDR/fEPzBhVopzJ67y7XtL2b3pWLbqJiIiInK7UhDOCJMJagyCQfuh1qMJ5dYwWPsMLGwNl3dl6xQWs4m3Gt3B370aUL6Qh7N83K5TtP19O8euR6W5f6HCXgwc0YGuDzTBbHH8WGNjbCz4fh2/TfuP2HQW8BARERFxNQrCmeFVHDp8D/f+A0UDEsovbIJ5jWHDq2DN3swN7coVZeeAJvRMNGfw5kthNFywlflHL6W5r8lkokWnWjz6WjeKly7sLN+xPpgpY5Zx/lTOrJonIiIicjtQEM6K8u3ggZ3Q5G3H6nQAcTbY/rFj7uGTK7N1+JJeHvzetR7jW1TD7caFcNdi7QxYtZen1h0iOp0L4cpXKcETb/WkXvOqzrLL56/z/YfL2fL3QS3PLCIiIoKCcNZZPKHZO45AXL5dQvn1Y7CkK/w5GCIvZvnwZpOJFwIrsf6ehlQt7OUs/2bfWVr8to2DoWn3PHt6udP30dbc83Ar3D0sgGN55mUzNzP3m3+ISmdWChEREZHbnYJwdhWrCff8DXd9D55FE8oP/wKzasH+qZCNHthmpf3Y1q8xA6qWcpbtvBJB4wVbmX7ofJr7mkwmGrSqxhNv9aRMxWLO8gPbT/Hte0s5dSTrQV1ERETkVqcgnBNMZqj9KAw64LioLl7MVfj7EfitI4QczPLhi3q6M7dTbb5pUwNPi2OoRIQtjqFrDjBszX7CrbY09y9ZtgiPvd6dph0SxjVfuxrB1E9Xsnbpbi3PLCIiIi5JQTgnFSrjmGat13IofEdC+dk1MCcQtrwH9qwNSTCZTAyvXYFN9zYmoIi3s/ynQxdounAbu66Ep7m/m7uFHg8244Gn2uN1Y1YKI87gr0U7mDFpNWHpDLUQERERud0oCOeGyt1g4B5o8BKYHONziYuFLW/D3IZwbl2WD12/hC9b+zXmf/5lnGUHQiNptiiIyfvOpHshXM2GlRk+uheVqicMtTi2/zyT31vCkT1nslwvERERkVuNgnBucfeBVp/AfVuhVJOE8pD9sLAtrHkSokOydGhfdzem3VWLn+6qiY+b40cYYzf4v3WHeWD1Pq7Fpj1UokgJH4a92IW2PevBjQU8IsNi+OWzv/hzXpCWZxYRERGXoCCc20o2gP4boc1n4O6bUL7vO8fFdIfnZPliuqH+ZdnarzGBxX2cZb8evUTD+VvZks7yymaLmY73NmDo853wTTTU4r8V+5j6yQpCLoVlqU4iIiIitwoF4bxgtkDgSBi4D+7ok1AedQH+HAhLe8H141k6dM2iPmy8txH/V7u8s+xYWDStf9/OhF2n0h0qUbVWOYaP7kn1ugn7nzl2hW/fX8reLVmrk4iIiMitQEE4LxWuBN0XQdf54JMQPDm5DGbXgR3jHQtzZJK3m4Wv2/jza6fa+Lk7xiRb4wxGbQym94rdXI6OTXN/Hz9vHnymI53va4z5xqwUMVFW5n23lsU/b8Aak/k6iYiIiBR0CsJ5zWSCav0cvcN1n8I5SNcWCf+9CPOawcWgLB16wJ2l2dG/Cc1KJSyvvPTkVRrM38rac6FpV8tsolWX2jzySjeKlUoYwrFt7RGmfLCMi2eyNp5ZREREpKBSEM4vnkWg3VfQbz0Ur5tQfnk7zG8G654Ha9pToqWkqp83a/s0ZFRgRWfZmYhY7lqygzHbjmOPS3uoRIWqJXnizZ7UaVrFWXbp3DWmfLCcoH8PaXlmERERuW0oCOe3si3hvm3Q/EOw3FhK2YiDXZNgVh04viTTh/SwmBnXojpLutWjhKcbAHEGvLX1OF2W7eRcZNpzGXsV8qD/423pPbQFbjeWZ7ZZ7SyZvol5364lOjLtoRYiIiIitwIF4YLA4g6NX4OBu6Fip4Ty8JOwrDesuA8izmX6sD0rl2BH/ya0K1fEWfbX2VAazN/KytNX09zXZDLRqG0NnnijB6UrFHWW7ws6wbfvLeH00UuZro+IiIhIQaIgXJAUqQ69V8Ld08GrZEJ58DyYVRP2THb0FmdCRV8vVvesz+hGVeJHI3MxykrXZbt4bfNRrOksr1yqfFEee707jdv7O8tCr0Qw9ZMVrP9jL0Y6Qy1ERERECioF4YLGZIKAwTBoP9QcllAeex3+/T/HYhxX92bqkG5mM+82qcqqnvUp6+3hLB+74yR3Ld7ByfDoNPd393Cj1+Dm3De8HZ7e7gDE2Q1Wzd/GL5//Rfj1qEzVR0RERKQgUBAuqLxLQsep0Ge1o6c43vn/HMs0b3oTbJkLoB0rFGPngCZ0qVjMWfbfhes0mL+V345fTnf/2o2rMHx0LyremdBbHbz3LJPfXcLRfZkfuiEiIiKSnxSEC7qKHeGBXdD4DTA7LnwjzgpBH8CcQDj9V6YOV9rbg+XdAxnb7E5uTBlMSIyNe1fu4dn/DhNjT3uoRNGSvgx7qSutu9dxlkVcj2b6pFWsXrAduy1zQzdERERE8ouC8K3AzRuaj4H7d0DZVgnl147A73fD6mEQlX6PbjyzycQrDSrzb++GVPb1dJZ/vucMrX7bxpFrkWnub3Ez06lfIwY/dzc+heNnuoB1y/cwbdxKQq9kfto3ERERkbymIHwrKV4H+q6F9pPBI2EmCA7+5LiY7uB0yMQ8v63KFmF7vybce0fCUIdtl8NptCCIWUcupLt/tTrlGf52L+6sXc5Zdjr4Et++t5T9205muB4iIiIi+UFB+FZjMkOdJx0X01W7L6E8+gqsHgqLOzt6ijOouJc7CzrX4fNW1fEwO8ZKhFntPPjXfh7/9yCRNnua+/sW8Wbws3dzd7+GmG7sHx0Zy9xv/mHpL5uwxmp5ZhERESmYFIRvVT7loOtc6LEYfCsllJ9eDbPrQdCHYM/Ywhcmk4ln6lZkw72NqO7n7Sz//sA5mi0MYu/ViLT3N5to070uD7/clSIlfJzlW9cc4vsPl3Pp3LXMPTcRERGRPKAgfKu7oxcM2gf1n3f0FgPYo2HTG/BrYzi/IcOHalSyMNv6NebB6qWdZXtDImm6MIgfDpxLd3nlStVKMXx0L2o1quwsu3gmlCljlrJ93REtzywiIiIFioLw7cDdF1pPgP6boWTDhPKre2BBa/jnKYjJWK9sYQ83ZnSoxQ/tAvC2OJpHlD2Ox/49yEN/7ed6OkMdvAp5cN/wdvQc3Bw3d8fyzNZYO7//tIEF368jJkrLM4uIiEjBoCB8OyndGAZshlbjwa3QjUID9n4Ds2pB8PwMXUxnMpl4pGY5tvRtTJ1ihZzls4Iv0nhBENsuh6W7f5P2/jz2endKJlreec/m43z7/jLOHr+SpacnIiIikpMUhG83Zjdo8AIM3AuVeySUR56DFQNg+T0QdipDh6pT3IfNfRvzeM2EWSGOXI+i5aJtfL7ndLpDHcpULMbjb3SnYduEBUFCLoXxw9g/2LByn5ZnFhERkXylIHy78rsDei6BLnPAu0xC+fHFjt7hnZ9BXNozQgAUcrPwXbsAZnWsReEbQx1i4wye/e8I/f7cy9Voa5r7e3i602doS/o/3gYPr/jlmeNY+WsQs778m4iwtJd3FhEREcktCsK3M5MJqt8PDx6A2k8mlNsiYP1zML8FXNqeoUMNrF6Gbf0a06ikr7Ns0fHLNFywlf/Opz/+uG6zqjz5Vk/K31HCWXZ49xkmv7uEYwfOZ/gpiYiIiOQUBWFX4FkU7prsWIyjWK2E8ktbYV5T+O8lsKY9RRpA9SKF+O+eRjxbt4Kz7GR4DO0Wb2fsjhPEpTNUonjpwjzySldadqntLAu/FsXPE/7k7992EJfO8s4iIiIiOUlB2JWUawP3b4dm74HZw1Fm2GHHOJhdF04sT/cQnhYzk1rVYFGXuhTzdAPAbsBrm4/RffkuLkSmPSuExc1Cl/sa8+DIjhSKX97ZgH+X7Oan8X9yLZ05i0VERERyioKwq7F4QpO3YOBuKH9XQnnYcVjaA1YOgsj0l1e+546S7OjfhFZl/JxlK0+H0GD+Vv46E5Lu/jXqVWD4272oWrOss+zk4Yt8+94SDu7I2MV8IiIiItmhIOyqivrDPX9Bx6ngWTyh/MhsmFUT9n0PRtpDFSr7erGmdwNea1AZ042y81GxdFq6k9Fbj2GLS3v/wkULMfj5u+lwbwNMJscRoiJimf3VGpbP2ozNmv7FfCIiIiJZpSDsykwmqDnMcTGd/+CE8phQWPM4LLoLru5P8xDuZjMfNruTP3oEUtrbMSuEAby/7QQdl+zkdHjas0KYzWba9azHsJe64Fc8Yc7izX8d5Iexf3Dl/PWsPTcRERGRdCgIC3iXgk7TofdK8LszofzcWphbHza/A/aYNA/RpWJxdvZvwt0VijrL1p6/RoP5W1l6Mv0FNCrXKM3w0b2o2aCSs+z8yat8O2YpO/8LzuwzEhEREUmXgrAkqNQZHtgNDV91LMwBEGeFre/CnPpw5p80dy9byJMV3eszpklVzDfGSlyJsdHrj92M2nCE2HRmhfD28eT+p9rT/cFmWNwcTdMaY2PR1P9Y+MN6YtOZs1hEREQkMxSEJSn3QtDyIxgQBGWaJ5SHHoTf7oK/HoXoq6nubjGbeKNRFdb0akAFHw9n+YTdp2nz+3aOXo9K8/Qmk4lmHQJ47LXulEh0Id6ujUf59v2lnDuZ+rlFREREMkNBWFJWMhD6roe2X4J74YTyAz86VqY7NBPSmDe4bbmi7OjfhF6VExbQ2HIpjIbzt/Lr0Yvpnr5s5eI88WYP6rdMGKpx9WIYP3y0nE2r96e7vLOIiIhIehSEJXVmC9R7Ggbth6p9E8qjLsKqh2BJd7h+LNXdS3p58HvXukxoUQ33G2Mlrlvt3L9qH/+39hBRtrRnhfDwcufeR1rT99HWeMTPWWyL44/ZW5nz1Roiw9MetywiIiKSFgVhSZ9vBei+ALotBJ+EVeU4tQJm14Htn4A95fG7JpOJ5wMrsb5PQ6oW9nKWT95/lhaLtnEgNP0FNAJb3MkTb/WkXOWEad4O7jzNt+8t4cSh9Oc8FhEREUmJgrBk3J33wqB9UO8ZiJ852BYFG16BeU3gwuZUd21a2o/t/Ztw/52lnGW7rkbQeEEQPx06n+6pS5Tx45FXu9G8U01n2fWQSH4a9yf/LN5FXDpzFouIiIjcTEFYMsfDD9p+Dv03Qon6CeVXdsH8FrB2JMSGpbhrEQ83Zt9dm8lt/PGyOJpepC2OYWsO8L+/9xNutaV5ajd3C90eaMrAEXfhfeNCPMMwWPP7TqZPWMX1kMiceY4iIiLiEhSEJWvKNIMBW6Dlx+DmfaPQgN1fwKzacOy3FHczmUw8Wbs8m/s2ombRhAU0fj58gSYLgth5JTzdUwfUr8Tw0b2o4l/aWXb84AW+fW8Jh3adztbTEhEREdehICxZZ3GHhi/DA3ugUpeE8ojTsPxeWN4Pws+kuGu94r5s7duYYf5lnWUHr0XRfFEQ3+w7k+6sEH7FfRg6qjPtewc6l2eODI9h1hd/s2LuVuzpXIgnIiIioiAs2VfkTuj1B3T6xbFKXbxjCx1Tre3+CuKSB1MfdwtT76rJz3fVxOfGAhoxdoOn1h3mvlV7CY1JewENs9nMXX3qM3RUZwoX9XaWb/xzPz+M/YOrF7U8s4iIiKROQVhyhskE/g/CoANQ69GEcmsYrB0BC1vD5V0p7jrEvyxB/ZpQv4SPs2z+scs0XBDE5gyE2TsCyjB8dC/8AxNmtDh34irfvr+M3ZtSn95NREREXJuCsOQsr+LQ4Xu4Zw0UDUgov7AJ5jWGDa85Zpq4SUDRQmy8pxFP1S7vLDseFk3r37Yzftcp4tIZKlGosBcDR3Sg6wNNMN+4EC822sqC79fx27T/iE2nd1lERERcj4Kw5I4K7eGBndDkbTC7O8ribLB9LMyuC6f+TLaLl5uFr9r4M69THYp4WACwGQYvbgym9x+7uRwdm+YpTSYTLTrV4tHXulG8dMJqeDvWBzNlzDIunA7JuecnIiIitzwFYck9Fk9o9g7cvxPKtU0ov34UFneBVUMg6lKy3frfWYrt/ZrQPFGYXXbqKvXnbeWfs6HpnrZ8lRI88VZP6jWv6iy7fP46Uz5Yxpa/D2p5ZhEREQEUhCUvFK8F966Bu6aAZ9GE8kMzYGZN2D8VbgqnVf28WdunIS8FVnKWnY2MpePSHbwXdBx7XNph1tPLnb6PtuaeYa1wv9G7bLfFsWzmZn6d/C9REVqeWURExNUpCEveMJmh9mMwaD9UH5hQHnMV/n4Efr8bQg8l2cXdbOaTFtVY1q0eJb0cwyviDHg76Didl+3kXGTaYdZkMtGgdTWeeLMnZSoWc5bv33aSb99byqkjF3Pu+YmIiMgtR0FY8lahstBlFvRcBoWrJJSf+RvmBMLWMWBPOha4e+US7OjfhPblijjL/j4bSv15W1lx6mq6pyxZrgiPvd6dph0SLt67djWCqZ+uZO3S3VqeWURExEUpCEv+qNIdBu6FBi+CyTF0AXsMbH4L5jaEc+uSbF7Bx5PVPRvwdqMqmG6UXYq20m35Ll7dFIw1nTDr5m6hx4PNuP//2uNV6MbyzHEGfy3awYxJqwm/lnwmCxEREbm9KQhL/nH3gVafwn1boVSThPKQfbCwLax5EmJCncUWs4l3mlRlda/6lLsRZgE+3nmK9ot3cCIsOt1T1mpUmeGje1GpesLCH8f2n2fyu0s4sudsjjwtERERuTUoCEv+K9kA+m+E1pPALWFRDfZ951iZ7sjcJBfTdShfjB39m9CtUnFn2YYL12kwfyuLjiefheJmRUr4MOzFLrTtUZf47uWIsGh++Ww1f87bht2moRIiIiKuQEFYCgazBeo/C4P2wR29E8ojz8PKB2BZbwg74Swu7e3B0m71+KT5nbiZHGk2NNZG35V7eWb9YaJtyZd0Tno6Mx37NmTo853wLZKwPPN/K/Yy9ZMVhFwKy9nnJyIiIgWOgrAULIUrQ/ffoOs8KFQuofzEUphVG3ZMcCzMAZhNJl6qX5m1fRpQxdfTuemXe8/Q6rftHL4Wme7pqtYqx/DRPaleN2FFuzPHLvPt+0vZu+V4jj0tERERKXgUhKXgMZmgWn/HVGt1/g/n+AVbJPw3CuY3h4tBzs1blCnC9v5N6HtHSWfZ9ivhNFoQxMwjF9I9nY+fNw8+05HOAxphtjjOFRNlZd53a1n88wasMbYcfXoiIiJSMCgIS8HlWQTafw391kPxugnll7bB/Gaw/gWwhgNQzNOd+Z3r8GXrGniYHWE23Grnob/28+g/B4iwpj1UwmQ20aprHR55pRtFS/o6y7etPcKUD5dx8Uxojj89ERERyV8KwlLwlW0J9wVB8w8dyzYDGHGwcyLMqgPHlwKOBTSerlOBjfc2okaicb8/HjxPs0VB7Lkanu6pKlQtyZNv9aRO04Q5ji+dvcaUD5YR9O9hLc8sIiJyG1EQlluDxQMavwYD90DFuxPKw0/Csl6w4n6IOAdAw5KFCerbmIeql3Zuti8kkqYLtzFl/9l0w6xXIQ/6P96W3kNb4HZjeWab1c6S6RuZ/91aoiNj09xfREREbg0KwnJrKVIdev8JHX8CrxIJ5cG/OqZa2zMZjDgKe7gxvUMtfmwfQCE3RzOPtsfxxNpDPPjXfq7Hpj3u12Qy0ahtDR5/vQelyiesaLd36wm+fW8Jp4+mP02biIiIFGwKwnLrMZmg5lAYdAAC/pdQHnsN/v0/x2IcV/diMpl4OKAcW/o2pm6xhPmJZwdfpNGCrQRlYIq00hWK8vgbPWjc3t9ZFnolgqmfrGD9ir0YcRoqISIicqtSEJZbl3dJuHsa9Fnl6CmOd/4/xzLNm94CWzS1i/mwuW8jnqiZMB1b8PVoWv62jUm7T6U7VMLdw41eg5sz4Ml2eHq7AxBnN1g1bxu/fP4Xp49eYumMTXz0zGzmTtjKR8/MZumMTVy9qLmIRURECjIFYbn1VbwbHtgFjd8As5ujLM4KQWNgTiCc+RtvNwvftgtg9t21KezuGPdrjTN4fkMw967cw5Voa7qnqdOkCk++1ZMKVROmaQvee5YfPvqDoLWHib1xjNhoK9vWHWbyu4s5vPtMzj9fERERyREKwnJ7cPOG5mPgvu1QtlVC+bXD8FtH+OthiL7CA9VKs71/ExonmiLt9xNXaDB/K+vOh6Z7mmKlCvPwy11p3a1OkvKbh0jE2Q2ssXZ+nfyPeoZFREQKKAVhub2UqAt910K7b8DDL6H8wDSYWRMOTqdaYS/W39OI5+pWdD58OiKGuxbv4MPtJ4hLZ6iExc1Mp/6NqBFYId3qWGPtzJ38D/8s2cXGVfvZvu4I+4JOELz3LKeCL3HxTCjXrkYQHRlLXFxcVp+1iIiIZIFbfldAJMeZzFB3OFTtA+ueheB5jvLoy7B6KBz8Gc/2k5nYqjodyhdl2D8HCImxYTfgjS3H+PtsKNM71KRsIc80T3Pi0MUMVefCqRAunArJ0Lbunm54erkn3Lzd8fByw9PLI9H37nh6e9zYJuF+wmPuuHu4YTKZMnROERERV6UgLLcvn/LQ9Vc4vhj+fRrCTznKT6+C2XWhyWj6NHiRHf2b8ODqfay/cB2AVWdCaDB/KzM61KJTxeKpHj42A+OKM8saY8MaYyP8WlS2jmMymRzB2NsdT09HOE4I1il8n6jM0+tG+Y3v3W6MqRYREbndKAjL7e+O3lChg2MWid2fO1als0fDptfh8Cwq3/Uda3o34+2tx/lox0kM4EKUlS7LdvF6w8q80/gO3MzJRxF5eLlnKAxb3My07FKb2GgrMVFWYqKtju+d923OspxiGIbj2FHZP6bFzZxGYHZL6J32dsfD0y1pb7W3O55eCb3VZotGY4mISMGhICyuwd0X2kwE/8Gw5nG4vN1RfnU3LGiFW93/44PmH3JX+aIM/ns/F6OsGMAH20/yz7lrzOxYi0q+XkkOGdi8KtvWHSbOnvqYYrPFRKM21bm7b8N0q2jEGcTGJATjmKhYYp3f3wjON76PjUlUFnVTsI6xYou1Z+fVSsJuiyMqPIao8JhsH8vdw5KkR9oztd7pm3qubw7g7p4a+iEiItmnICyupXRjGLAZdn0Gm0eDLRIwYM/XcGwRndt8wc5+PRi85gCrz4QCsO78NRrM38q0u2rSu0rC1Gktu9Rm54Zg4uyph06LxUyLzrUzVDWT2eToTfX2yM4zBBzh1RGq0wjM0Qm3pL3VNmKiYp2PpRX0M8saa8caayfienT2DmTCGY5TCswe3sl7sBOPtU48ttriZi7QofrqxTA2rNzHrk3HiI224uG1k8DmVWnZpTbFSxfO7+qJiNzSFITF9ZjdoMEouLM//PsUnFzuKI84Cyv6U/aOPqxo+wVjjxRjdNAx4gy4GmOjz4o9PFe3Ih83vxMPi5nipQtz3/D2/Dr5H+z2uCSB0WwxYbGYuW94+3wJKxY3M95unnj7pH3BX3oMw8Bui0sUjG03AvON3uqbA/VNPddJhoFEWyGnMrVBjg39MFtMiQJz0osOMzKG2lnm6Y7FLWeHfhzefSZZ+4qfp3rnhmDuG96eGvXSn71ERERSZjLSW1YrFwQFBdG4ceO8Pi0A+/fvp1atWvlybimADAOOzHXMLhF1IaHc3Reaf8C6Ug8x6K9DnI5IGBbQpFRhZt9dm2p+3oCjx27jn/vYtfEYMdFWPL3cCWxRlRad1WOXmBFnYI1NeajHzb3SKd1PvJ01B4d+5CQ3D0uSixM9bg7PqQz1SDLW2ssND093Qi6HM/ndxWk+V3cPC8Pf7q12JjlCfx8lN+Vn+0ordyoIiwBEh8DGV2Hfd0nLSzcltOVXDNntxZKTV5zFhd0tTGkXwAPVSifZXO0rb8TZ4xKGcUTHJrnoML73Oja9sdY37sfZC+b8zWaLKd1hKSYTVK1Zlhada+NVyAOvQh543/iq2T4ks/T7S3JTQQ3CGhohAuBVDO76FgKGwJonIGS/o/ziFor+3pLf6z/PV80e44Wt57HGGYRZ7QxcvY+/zoQwsm4Fvtp3lhmHLxButeO78TKDa5RhVGAlZ6+x5CyzxYy3T/zQD59sHctmtWdyDHXScdcxiS5czLGhH5ChsdmGAUf3n+fo/vPJHnNztzjDsTMge7vj5eOZ5Kt3Cvc9vdwxmQvuuGkRkZySKz3CdrudN998k2PHjmEymXj33Xfx9/d3Pq4eYSnQ7DGw/RPYOgbiYhPKC9/BoQbj6b6nPEfDEi72MgEWE9gSvZPcTeBuMTOvUx26Vy6Rd3WXfGMYN4Z+pHTRYZSVmBhb0t7qNMZaW2Ns+ftkTODl7ZE8IKcSnG++r97oW5P+Pkpucqke4b///huA2bNns2nTJiZOnMg333yTG6cSyXkWT2jyFlS7H/55Es7+4ygPO47/2v7srzaQEcWGM+WkI/kaJA3BAFYDrLY4Bqzay64BTdUz7AJMJhMeno6L5rI7YjcuLo6PR84hNgOB2Gw2UbVWOaIjY4iKiCU6KtaxZHd2ZvswIDrScRyuRGR6d4ubOXlALuSh3mgRKXByJQh36tSJu+66C4CzZ8/i5+eXG6cRyV3FAuCev+HANPhvFMQ4lkn2CJ7Nt54rqFF4BK9cv4uqnOOFuLkMNlZRmCjC8GaGqRMTzPdz3FaBx/85wFN1KuDn4YafuyXJV193C+YCPHWX5A+z2UxgizszNE9147Y16PFQ8yTl8b3T0TeCsTMgp3LfEXqtREXGEB2Z/cVd7LY4wq9FZW2FRPVGi0geyrUxwm5ubrzyyiv8+eeffP7557l1GpHcZTJBrYehSk9Y/wIc/sVRHBPCSzHv043pVOMsbtjxwHF1fxEiedxYyjD7SgaY3+GPc835+9y1VE9R2N2Cn4cFP3e3G98nCsw3ypN8TSFQ+3lYcE9h9Tu5dWVnnurEvdN+WRhDHWePIzrKSvSNYBwfkFO7n7S8YPZGeya6kPDmCwudN28P9UaLuJhcnzXi0qVL3H///SxdupRChQoBjrEa8d/ntejoaLy8vNLfUCQFPlfXU/bgu3hEn87Q9hF4EWj5nqOm3J/r1dMMvhYzPhYTvm4mfC0mfCzmRN+b8HUz42u5cd/NhK/FnOh7x31PMwV6gQlXcu7YNf5bHExcXBxGosktTGZHr3Gr3tUoV7VI/lUwBfFzT8dG27HG2ImNsWGNthMbYyc22pZQFmO/sY0tyba22PydxcPd04KHp8Xx1cvtxn033L1ulHu54eGZ9Pv4bXN6Hum8pr+Pkpvys31FRkbm7RjhRYsWceHCBZ588km8vb0xmUyYb+qtyq8B07oYQLKnFjR7ELa+R9z2j0nvz547VkYZ81hd9X2uW+1cj7Ul+Rpuzbn5cGPiICYujivZXGPCzWRK1vNc2N2S6V5qDfvIvlq1oEGTOi41T3VCb3Ss8xYVGZs3vdGANcYRyrPiVuyNTr5yobtWLpQcU1DaV1BQUKqP5UqPcGRkJK+99hqXL1/GZrPx+OOP06lTpyQV0qwRcquL+aYQnkb6YyANwFT4DvAqDp7FwDPha5xHUaLdixJpKUKY2Y/rZj9C8eOKqTAhdk9HaE4hQF+PtXE91s51a8LXuDyfETx9iYd9ZGaYR+LtCmvYh5N+f6XNOTY6jWEcUZExxCQpTwjb2R0bnS03lg1PFpBTCc4333f3yHy/VkorF0LSlTG1cqFkVUFqX1pQIxH9IZGcYnxtxpSTE8fezOx2IzTfCM43B+lE9w3PYkS7FyHM5EeoyY/rdlPSoJyBIB3/NSabPWq5wdtiTjE4F85EoPbzsOBlMd9ywz6Cr0cxftephHmq3S2apzqXpN4bnfR+TCrl+bk4i8XNnCwgp9UbHRttZd6UddjS+FRKKxdKVl29GFagVsbUghoiucDk7gvWsNw7QZwNoi46bunVBfC+cSsNjiWik4XmG98XKg7Fbn6srON7Dz9i4gzCMhmgw3J52EeUPY6oqDguRGWvxy6lYR8ZCdA3b+eTR8M+lp+8woBVe7Ha47De+P8kzGrn+/1n+enQec1TncPMFjOFfD0p5OuZ6X0Nw8AWa08xIEencIu66fucmKkj4no0Edej0984g6yxdr59b4nj9UjU3hO+Nd10P/5xU+KHk35747GbDpHiP6g3lznvpnIMx7dJz51mXVOrS6rHSOU4JH/OSXe5+TzpHCP5rpl8zqm8bol2SjhuKsdIvnOmfu6ngi+lGYIB7PY4Nv65L9msN3lNQVgkq/wHw77vwUjjD5jJHQKGQuNXHcs4x1x1TMMWczXR/Rtl0YkeiwkBWxamnopnDXfcwk9lbj+TBU/Ponh6Fqfkzb3QXomCc5HEj5VwfHVLehGEPc4g3JZG73NKITuXh33YDIOrMTauZnPBChMkzPCRQnBONvtHFoZ9BF+PYsCqvUTakvcyap7qgsdkMuHu6Ya7pxt+xTJ/MXhB7Y2OjbFlaD5rkcyKsxvs2nhMQVjkltVgFBz8CWxpBGGLOzR+DYpUg8xe3G+LuhGMUwjJie/f/FhMCEmmGMgMww7RVxy3zHLzTtLLbPEsRhHP4hS5OUh7FgefREHaowiYU5/71TAMIm1xaQboZD3SuTzswwDn+G0yP8NXEqkN+9gfEklUCiE4sRh7HK9sCuatRnfgZTEn3NwcXz3MpltuKIiryuve6BOHLuTCsxDJnNiYfByXf4OCsEhWFakGXefBigFgtybtGTa5O0Jw13mO7bLCzdtx8ymfuf2MOIgNuyk0p9LrfHOgtmUj1dmiwHYGIs5kckcTeBZNdfyzybMYPl7F8fEsTrn4xwrd2NbNO/nnc2mIscdlethHSgE8Ip2AmhnZGfZhN2D+scvMP3Y51W08LaakITlRUPaymPG8+bH0HndLvr1nGo9ZNC9vrstKb/RHz8zO0HAMD083hr/dC4CkVxQZScuM+C9GkvtJvjVu2ufmYyQ+upH0OMmOkezgifbJ4DFSOk7yYyS5l7QslboYKTz59J5zkvOm8lqm/jqmcpwU6pqR46R06ViGn/ONL8tmbk5z/Hk8D0/3dLfJbQrCItlRpTs8sAt2ToRD0zFiwzB5FAb/IVD/+ayH4OwwmcGziONG1czta49Npxc6lUAdc9UxpjlLjIRzcjRzu5o9ko5/TuOCQryK4+lZzDHsw7comLM+nMAeP47aaiesgAz7SE2M3SDGbucaOTdmOzPcTKaEMJ5CUPZyM+NpTj1Ix5dlNbCrVzxlgc2rZmjlwvot76RYKV0sJ5lz9viVDLWvwBaZ/BuVCxSERbKrSDVo9yW0+5IDt/qsJBYPKFTGccsMw3D0JqcWlpONj070fez1rNc3LhYizztumeXhl3z8c5qB+sb37r5YzCaKerpTNJu9GWkN+3jwr/1E2+O40ziT6hLeR00VsJigTjEfou1xCTeb42tsAZhTz2YY2GyGoxc9Jn/q4AjKplRDdIphOpM932kF9oLYK96yS222/RcMaaxciDnllQtF0nMrtS8FYRHJPpPJMVOFuy8Urpy5feNsEBOa+pjn1Hqmo686gnBWxV533MJOZG4/s1uy+aAzFqSLOf7RSMRkMuFzYxaKcjd9ov1wQAin9i5ktv0d3LGmuIT3QMs7VKndly/b+KdY1TjDIMYeR0zikJwoKMffYuxGqo/Fl8XEpfJYGo9H2eJyc4LBDHPUh3ztFU8IytkbqpKVwJ5Sr3iIlxtzqpXgnkOXsMQZJB6lbwfsZhO/VSvBg15uFM/TV0tuB7dS+1IQFpH8ZXYD75KOW2YYRqILCjNwEWGS+6GQ1YgWZ4OoS45bZrn5pN3bnOixN4tepaj9bQql0I3qgR0P7My2v8Plqr1SPZ3ZZMLbzYK3W+oXI+YmwzCwGYYzICcL5DcF7ySBPJVQHpNWYE8hlBeUXvHwHJ5SMLOSBmUTobE2rhX25GydsrS8cJ3Ay5F4xBnEmk3sKlmIDWX8CPVyo9OSHdQv4ZviMVMbcpJSaWp94qmNWjGlsEfq22a8PFN1zvT5cqDOKTyQ0nEzf4zUtk2hzqltm4nzrT13jf3ptK9wbzcm7jqV6j/yeUULaojkILWvW4QRBzHXMnYR4c1DO2yR+V17JwMTplKNoMagFMJ01i4ovN3E94pnqHc7E6E8vV72+G0KSq+4SEHk527h2sNtc/08WlBDRCQxkxm8ijlumWWPyfxsHM5p7XK2R9CEAZeCHLfUmD1SHq6RblnyoRy3ooLWK57h3m1bKoE8WWBPO9BH2+OwFoBecZGU5OenJPEUhEVEMsPiCYXKOm6ZYRiOlQgzOhvHmb9zpr5xsRB1wXHLLDefrIXodOaGdiUmkwl3kwl3DzP5NfdCSr3i9eZtydA0gN5uZmZ2TP4pV2qfJadUnPq2KT+QuWOkUp7SFGCpbZup86VS55SmMsvE+RzHyESdM/P650SdM/F6GMALG44QnYF5233d8//3RIaDcGhoKEWLFs3FqoiI3MZMJsdMFR5+wB3pbz/FL2NLeJs9oe7/pRCmbwRqezamarBFOG4RpzO5o+nGFH43BeWUhm/cHKjdfV16KEduSKlXfKh/Wb7ff9a5dHdK3E3wiH9Z7r2jVB7UUm4nu69GZKh9DamRyRmKckG6QXjz5s2899572O12unXrRvny5bnvvvvyom4iIq4ro0t4134M2kxMfRtbVPJwnFJgTlaWnaEcxo2ZQEKBY5nb1TkrRxrhOdXx0F7pH18AGBVYiZ8OnceaRq+wu8XM84GV8rBWcru4ldpXukH4s88+Y8aMGTzzzDMMHz6cQYMGKQiLiOS2jC7hXf/5tI/j5g2+FRy3zEg2lCMTITr2WubOlVh2ZuWweGUsMCcrK+YI4C6kmp838zrVYcCqvVjtcUl67txNjpAyr1MdqvllfeEZcV23UvtK951vNpspWrQoJpMJT09PfHx88qJeIiKuLbeX8E5PZodyJBZnc4ThDIfoHJqVwx4NEWcdt8xyL5zF8dB+josvb0HdK5dg14CmTNx1iumHLxBmtVPY3cKQGmV4PrBSgQgpcuu6VdpXukG4cuXKjB8/ntDQUL777jvKly+fF/USEZGCuIR3RpjdwKuE45ZZzlk5MjOM48b3cWn0nqfHGua4hZ/M3H4mM3gUzVqIdiuU7+Ohqxln+dI+iS9tMzBs4ZhMvmAfDMYooIC2L7llVPPz5ss2/nzZxr/ATi+abhB+9913+fXXX2ncuDGFChXi/fffz4t6iYgI3F5LeGdEdmblsEXcCNCZDdGhZHmBFSMuYb7p68GZ29fsnrkx0GmsUpglJ5Yn+cTBBI5/BvZ97xiW03We458xkdtYukF47969WK1W3n77bUaNGkWjRo2oXTv/14YWERFxSrLMdyYvwHEusJKBEH3zNHfW8KzXOc6ajantCiUKx4l7nFMp87oRqD2KOqa2uxbsCMEpDUUxrI6x6SsGOD6RKKifPEjBdy0YdoyHQzOoaQ2Hdb6OC4EbjCow7SrdIPzee+8xcaLjiuTnnnuOV199lV9++SXXKyYiIpInsrXAihViQ5PPD53SQis3l2VrartIxy3TU9vhmOfZiEt/PLYtGlYNgWoDwGRxDHkxu4Ep/uvNZZaEx+LLsrufptK7dd0inzikG4Td3d2pXLkyAJUqVcJsvjUvChAREclxFnfwLuW4ZZYtKmOBOVlZNlcpzPCsHnFwYYPjll9M5tQDdIZCduJQnYFtsrpfkiCfS/uZzLfOPwa30CcO6Qbh8uXLM2HCBBo0aMCuXbsoXbp0XtRLRETk9ubm7bj5ZPIi9Pip7bISorMztV1+MOLAiHWskCiZC9BpbZPd/dLb5uD09D/xsFsdFwK3+zJvXrtUpBuEP/roI2bNmsU///xD9erVeeqpp/KiXiIiIpKSxFPbFa6SuX3j7I6hHD9XcVxcmB6zB9R72jElXpwNDJvjGIYtaZlhT3+bxGXOr2nsl51e79uVYQe7HcjGsJqCwrDCoekFPwh7eHjQqFEj6tSpA8DOnTtp2rRprldMREREcpjZ4pjWLmBoBlcufBxaT8i7+iVmGI7glywsZzB450Y4T/XY6YX6HDi2kfoqbbes2GxcbJpD0g3CzzzzDFevXqVcuXIYhoHJZFIQFhERuZXl1MqFuclkcnzcjptjWj1XZ8QlBOcMBfEUynLsn4p09jv0i+P79Hj45v7rlo50g/Dly5eZPXt2XtRFRERE8kJ+r1womWcyg8UMuOd3TdLnVihjnzj4D8m7OqUi3SkgqlatyoULWZjjUERERAqu+JUL6zwBHn4Y3Bh7XOcJR3kBmNpKblENRjn+mUpLfn/icEO6PcLbtm2jQ4cOFC9e3Fm2bt26XK2UiIiI5AFXW7lQ8sYt9IlDukF4xYoVeVEPEREREbldxH/isHMiHJqOERuGyaOwYzhE/ecLRAiGDAThHTt2sGDBAqxWR5q/ePEiP/zwQ65XTERERERuYbfAJw7pjhF+5513aNasGeHh4ZQvX56iRYvmQbVERERERHJXukG4WLFi9OrVC19fX5555hldOCciIiIit4V0g7DZbObw4cNERUVx9OhRrl27xZZnFBERERFJQbpB+NVXX+Xw4cMMGTKEF198kf79++dFvUREREREclW6F8vVqFGDcuXKERMTw3fffYfJZMqLeomIiIiI5Kp0g/DLL79MUFAQfn5+ziWWFy5cmBd1ExERERHJNekG4WPHjrF69eq8qIuIiIiISJ5Jd4xwYGAgR48ezYu6iIiIiIjkmXR7hH19fRkwYACFChVylmmJZRERERG51aUbhDdt2sTmzZtxc0t3UxERERGRW0a6QyOqVKnClStX8qIuIiIiIiJ5Jt1u3u3bt9OxY0eKFSvmLNPQCBERERG51aUbhN99911atmyZF3UREREREckz6Q6N+PLLL/OiHiIiIiIieSrdHmGTycTTTz9N1apVMZsdufmFF17I9YqJiIiIiOSmdINw//7986IeIiIiIiJ5Kt2hEb179yYyMpJdu3Zx/fp1evbsmRf1EhERERHJVekG4dGjR3Pq1Clat27NmTNnePPNN/OiXiIiIiIiuSrdoREnTpzgl19+AaBTp04MHDgw1yslIiIiIpLb0u0RjomJISoqCoDo6GjsdnuuV0pEREREJLel2yM8dOhQ7rnnHmrUqMGRI0cYOXJkXtRLRERERCRXpRqEZ8yYweDBg6lSpQpz587l1KlTVKxYMckKcyIiIiIit6pUg/D06dOpWLEiEydO5KWXXgLg2rVrALRp0yZvaiciIiIikktSDcIvvfQSK1eu5MqVKyxdujTJYwrCIiIiInKrSzUId+rUiU6dOrFo0SLuvffePKySiIiIiEjuS3fWiHnz5uVFPURERERE8lS6s0bExsZy7733UrVqVcxmR24eP358rldMRERERCQ3pRuEX3zxxbyoh4iIiIhInkp3aETt2rVZv349CxcuJDQ0lDJlyuRFvUREREREclW6Qfj111+nUqVKnDhxgpIlS/LGG2/kRb1ERERERHJVukE4NDSUAQMG4ObmRqNGjYiLi8uLeomIiIiI5Kp0gzBAcHAwAOfPn8diseRqhURERERE8kK6QfjNN9/k9ddfZ9++fYwcOZJXX301L+olIiIiIpKr0p01wt/fn2+++YaTJ09yxx13ULRo0TyoloiIiIhI7ko3CP/yyy/8/PPPVK9enSNHjvDUU09xzz335EXdRERERERyTbpB+Ndff+X333/H09OTqKgoBg8erCAsIiIiIre8dMcIlyhRwnmBnJeXl4ZGiIiIiMhtId0eYcMwuPfee2nYsCH79u3DZrMxatQoQEsti4iIiMitK90gPHz4cOf3vXv3ztXKiIiIiIjklXSDcLNmzfKiHiIiIiIieSpDC2qIiIiIiNxuFIRFRERExCWlOjTihRdewGQypfiYLpITERERkVtdqkF44MCBeVkPEREREZE8lWoQjr9ILjw8nClTpnDx4kU6dOhAQEBAnlVORERERCS3pDtG+PXXX6dSpUqcOHGCkiVL8sYbb+RFvUREREREclW6QTg0NJQBAwbg5uZGo0aNiIuLy4t6iYiIiIjkqgzNGhEcHAzA+fPnncsti4iIiIjcytINwm+88Qavv/46+/btY+TIkbz66qt5US8RERERkVyV7spyAQEBzJkzJy/qIiIiIiKSZ1INwh07dkwyj7Cbmxs2mw0PDw+WL1+eJ5UTEREREcktqQbhP/74A8MwePfddxk4cCCBgYHs27ePmTNn5mX9RERERERyRapB2MPDA4BTp04RGBgIQO3atTl27Fje1ExEREREJBelO0a4cOHCTJo0icDAQLZv306pUqXyol4iIiIiIrkq3Vkjxo0bh5+fH2vWrKFUqVJ88skneVEvEREREZFclW6PsKenJ56enpjNZgzDSPeAVquV119/nTNnzhAbG8v//d//cffdd+dIZUVEREREckq6PcJvvfUWp06dok2bNpw5c4Y333wzze1///13ihYtysyZM/n+++95//33c6yyIiIiIiI5Jd0e4RMnTvDLL78A0KlTJwYOHJjm9t26daNr164AGIahlehEREREpEBKNwjHxMQQFRWFt7c30dHR2O32NLf38fEBIDw8nJEjR/Lcc8/lSEVFRERERHJSukF46NCh3HPPPdSoUYMjR47wzDPPpHvQc+fO8fTTT/Pggw/Su3fvFLfZv39/5mubA6Kjo/Pt3HL7U/uS3KT2JblJ7UtyU0FtXyYjA1fAhYaGcurUKSpWrEixYsXS3Pby5csMGTKE0aNH07JlyxS3CQoKonHjxlmrcTbt37+fWrVq5cu55fan9iW5Se1LcpPal+Sm/GxfaeXOVHuEX3vttVQP+NFHH6X62OTJk7l+/Tpff/01X3/9NQBTpkzBy8sro/UVEREREcl1qQbhPXv2EB0dTZ8+fWjYsGGGpk4DePPNN9OdWUJEREREJL+lOn3a4sWL+eqrr4iJieG7775jx44dVK5cmbZt2+Zl/UREREREckWaF8v5+/vz4osvArBlyxbGjx/P+fPnmTt3bp5UTkREREQkt6Q7a0R4eDh//vknS5YsISoqij59+uRFvUREREREclWqQXjZsmUsW7aMs2fP0qVLF959910qVqyYl3UTEREREck1qQbhF154gTvvvJOaNWty6NAhJk6c6Hxs/PjxeVI5EREREZHckmoQ/vnnn/OyHiIiIiIieSrVINysWbO8rIeIiIiISJ5Kdfo0EREREZHbmYKwiIiIiLgkBWERERERcUkKwiIiIiLikhSERURERMQlKQiLiIiIiEtSEBYRERERl6QgLCIiIiIuSUFYRERERFySgrCIiIiIuCQFYRERERFxSQrCIiIiIuKSFIRFRERExCUpCIuIiIiIS1IQFhERERGXpCAsIiIiIi5JQVhEREREXJKCsIiIiIi4JAVhEREREXFJCsIiIiIi4pIUhEVERETEJSkIi4iIiIhLUhAWEREREZekICwiIiIiLklBWERERERckoKwiIiIiLgkBWERERERcUkKwiIiIiLikhSERURERMQlKQiLiIiIiEtSEBYRERERl6QgLCIiIiIuSUFYRERERFySgrCIiIiIuCQFYRERERFxSQrCIiIiIuKSFIRFRERExCUpCIuIiIiIS1IQFhERERGXpCAsIiIiIi5JQVhEREREXJKCsIiIiIi4JAVhEREREXFJCsIiIiIi4pIUhEVERETEJSkIi4iIiIhLUhAWEREREZekICwiIiIiLklBWERERERckoKwiIiIiLgkBWERERERcUkKwiIiIiLikhSERURERMQlKQiLiIiIiEtSEBYRERERl6QgLCIiIiIuSUFYRERERFySgrCIiIiIuCQFYRERERFxSQrCIiIiIuKSFIRFRERExCUpCIuIiIiIS1IQFhERERGXpCAsIiIiIi5JQVhEREREXJKCsIiIiIi4JAVhEREREXFJCsIiIiIi4pIUhEVERETEJSkIi4iIiIhLUhAWEREREZekICwiIiIiLklBWERERERckoKwiIiIiLgkBWERERERcUkKwiIiIiLikhSERURERMQl5VoQ3rlzJ0OGDMmtw4uIiIiIZItbbhx0ypQp/P7773h7e+fG4UVEREREsi1XeoQrV67MF198kRuHFhERERHJEbkShLt27YqbW650NouIiIiI5Ih8S6v79+/Pl/NGR0fn27nl9qf2JblJ7Utyk9qX5KaC2r7yLQjXqlUrX867f//+fDu33P7UviQ3qX1JblL7ktyUn+0rKCgo1cc0fZqIiIiIuKRcC8IVK1Zk7ty5uXV4EREREZFsUY+wiIiIiLgkBWERERERcUkKwiIiIiLikhSERURERMQlKQiLiIiIiEtSEBYRERERl6QgLCIiIiIuSUFYRERERFySgrCIiIiIuCQFYRERERFxSQrCIiIiIuKSFIRFRERExCUpCIuIiIiIS1IQFhERERGXpCAsIiIiIi5JQVhEREREXJKCsIiIiIi4JAVhEREREXFJCsIiIiIi4pIUhEVERETEJSkIi4iIiIhLUhAWEREREZekICwiIiIiLklBWERERERckoKwiIiIiLgkBWERERERcUkKwiIiIiLikhSERURERMQlKQiLiIiIiEtSEBYRERERl6QgLCIiIiIuSUFYRERERFySgrCIiIiIuCQFYRERERFxSQrCIiIiIuKSFIRFRERExCUpCIuIiIiIS1IQFhERERGXpCAsIiIiIi5JQVhEREREXJJbfldARERE5FYWfD2K8btOMePwBcKtdnzdLQyuUYZRgZWo5ued39WTNKhHWERERCSLlp+8QuC8LXy//yxhVjsGEGa18/3+swTO28Lyk1fyu4qSBvUIi4iIiGRB8PUoBqzaS6QtLtljVgOstjgGrNrLrgFNM90zvGnTJp577jmqV68OQEREBBUrVmTcuHFcvHiRu+++m1GjRvHEE0849xk+fDgRERFMnz6dEydO8MEHH2Cz2QgPD6dp06aMGjWKs2fP0qdPH+rUqZPkfNOmTcNisTjvb9myhcKFC1OzZs0M1XfEiBF8+eWXmXqOBYGCsIiIiEgWjN91Cqs9eQhOzGqPY+KuU3zZxj/Tx2/RogUTJ0503h81ahR//fUXdevWpXLlyqxYscIZhENCQjhx4gQlS5YEYMKECQwePJh27dphGAYjRoxg9erV1KpVi+rVqzN9+vQ0zz1//nx69OiR4SB8K4ZgUBAWERERSdP4Xad4J+g44VZ7pve1GvDVvrN8te9sknJfdwvvNL6DUYGVMnSc2NhYLl68SJEiRQAoVqwYRYsWJTg4mGrVqrF8+XK6devG1q1bAShZsiQLFy7Ex8eHwMBAJk2ahJubG2fOnEn3XHv27GHt2rXs3buX6tWr89BDD3HnnXdSrVo1BgwYwNixY7Hb7YSEhPDOO+/QqFEjWrduzfr16xkyZAg1a9bk8OHDhIeH89lnn1GhQoVMvmp5R2OERURERNIwftepLIXgtIRb7YzfdSrNbTZu3MiQIUPo0aMH/fr1o3PnzrRs2dL5eM+ePVm6dCkAq1evplOnTs7HXnnlFerXr8+ECRNo1aoVr732GmFhYQAcOXKEIUOGOG9jx45Nct66devStm1bXnrpJcqXL8+5c+cYN24cr7/+OkeOHOGVV17hp59+4vHHH2fBggXJ6h0YGMi0adNo3bq1s34FlXqERURERNIwKrBSlnuEU+Prbkm3Nzh+aERISAiPPPIIFStWTPJ4p06deOihh+jXrx+lSpXCy8vL+djGjRsZNmwYw4YNIyIigo8//pivv/6awYMHZ2hoRGLFihWjWLFiAJQuXZqvv/4aLy8vIiIi8PX1TbZ97dq1AShbtiyXL1/O8Hnyg4KwiIiISBpGBVZKMbQ+te4Q3+8/i9VIfV93EzxRq3yWxgjHK1asGJ9++ilDhw5l0aJFznIfHx+qVq3Kp59+yn333Zdkn08//RQvLy+aNWvm3C4kJCTD5zSZTBiG44mZzQkDCD744APGjRtHtWrV+PzzzzM01KIg09AIERERkSwYFVgJd0vaUcrdYub5DI4DTkv16tUZMmQIY8aMSVLeu3dvgoKCkgyZAJg0aRLffPMN/fr1Y+DAgezdu9d5Yd3NQyOGDBnCqVNJh2nUr1+fcePGERwcnKS8T58+PPvsszz44IMcP36cixcvZvu55SeTER/381BQUBCNGzfO69MCsH//fmrVqpUv55bbn9qX5Ca1L8lNal9Zs/zkFQas2ovVHpekZ9jd5AjB8zrVoXvlEvlXwQIiP9tXWrlTPcIiIiIiWdS9cgl2DWjKE7XK4+duwQz4uVt4olZ5dg1oqhBcwGmMsIiIiEg2VPPz5ss2/tkaByz5Qz3CIiIiIuKSFIRFRERExCVpaISIiIhIdlwLhh3j4dAMsIaDuy/4D4YGo6BItfyunaRBPcIiIiIiWXViOcwJhH3fgzUMMBxf933vKD+xPL9rKGlQj7CIiIhIVlwLhhUDwBaZ/DHDCjar4/EHdmW6Z3jTpk0899xzVK9eHYCIiAgqVqzIuHHjuHjxInfffTejRo1yzg0MMHz4cCIiIpg+fTonTpzggw8+wGazER4eTtOmTRk1ahRnz56lT58+1KlTJ8n5pk2bhsViyfRLsGnTJmbPns3EiRMzvE9oaChr166ld+/efPfdd7Ro0YLAwMBMnzsnKAiLiIiIZMWO8WC3pr2N3Qo7J0K7LzN9+PglluONGjWKv/76i7p161K5cmVWrFjhDMIhISGcOHGCkiVLAjBhwgQGDx5Mu3btMAyDESNGsHr1amrVqpXpJZZz2sGDB/nrr7/o3bt3kiCfHxSERURERNKyYzxseccx/jezDCvs+cpxS8zdF5q+4xhHnAGxsbFcvHiRIkWKAI5ll4sWLUpwcDDVqlVj+fLldOvWja1btwJQsmRJFi5ciI+PD4GBgUyaNAk3N7cML4k8ceJENm3ahM1mo0uXLjzxxBMcPHjQubJd0aJF+fDDD5Pss3z5cqZNm4bZbKZx48a8+OKLXL16lVdeeYULFy7g7e3Nxx9/zOTJkzlw4ABz5sxh+/bt9OjRg5YtW/Laa69x+vRp7HY7Dz/8MD169GDIkCHUrFmTw4cPEx4ezmeffUaFChUy9BwyQmOERURERNKyY3zWQnBarOGO46Zh48aNDBkyhB49etCvXz86d+6cZCnlnj17snTpUgBWr15Np06dnI+98sor1K9fnwkTJtCqVStee+01wsLCgORLLI8dOzbZuRcvXsy4ceOYOXMmfn5+ALz11lu8/fbbTJ8+nXbt2vH99987tw8NDeWLL75g2rRpzJo1iwsXLrB+/Xq+/vprOnbsyMcff8wrr7zCrl27GD58OC1atOCBBx5w7j9nzhyKFy/O7NmzmTp1KpMmTeLq1asABAYGMm3aNFq3bu18vjlFPcIiIiIiaWkwKus9wqlx9023Nzh+aERISAiPPPIIFStWTPJ4p06deOihh+jXrx+lSpXCy8vL+djGjRsZNmwYw4YNIyIigo8//pivv/6awYMHZ2hoxKeffsr48eO5fPkybdu2BSA4OJh3330XAKvVyh133OHc/uTJk1y9etU51CEiIoKTJ09y7NgxBgwYgGEYNGrUiEaNGrFp06Zk5wsODqZVq1YA+Pr6Uq1aNU6dOgVA7dq1AShbtiyXL19Os96ZpSAsIiIikpYGo1IOrf885ZgdwkhjnLDJHeo8kaUxwvGKFSvGp59+ytChQ1m0aJGz3MfHh6pVq/Lpp59y3333Jdnn008/xcvLi2bNmjm3CwkJydD5YmNj+eOPP5gwYQIAPXr0oGfPnlStWpWPP/6Y8uXLExQUxKVLl5z7VKxYkXLlyvHjjz/i7u7OggULqFWrFseOHWP37t3UrVuXLVu2sGbNGu666y7i4uKSnLNatWps3bqVzp07Ex4ezqFDh5IF/9ygICwiIiKSFQ1GwcGfHLNDpMbiDvWfz/apqlevzpAhQxgzZgwvv/yys7x3796MHj2aCRMmcPz4cWf5pEmTGDNmDGPHjsXDw4OKFSvyzjvvEBoa6hwakdiHH35IpUqVAPDw8KBIkSLcf//9eHl50bp1a8qXL88777zDK6+8gs1mw2Qy8cEHH3Dx4kUAihcvzrBhwxgyZAh2u50KFSrQvXt3hg8fzuuvv86sWbPw8fHhww8/xMPDg0OHDjFt2jTn+e+//37eeustBg0aRExMDCNGjKBEiRLZft3SYzIMw8j1s9wkKCiIxo0b5/VpAdi/fz+1atXKl3PL7U/tS3KT2pfkJrWvLDqx3DFFmt2atGfY5O4IwV3nQZXu+Ve/AiI/21dauVMXy4mIiIhkVZXujnmC6zwBHn6A2fG1zhOOcoXgAk1DI0RERESyo0g1xxjgbIwDlvyhHmERERERcUkKwiIiIiLikjQ0QkRERCQbrl4MY8PKfezadIzYaCseXu4ENq9Kyy61KV66cH5XT9KgICwiIiKSRYd3n+HXyf9gt8cRZ3dMxBUbbWXbusPs3BDMfcPbU6Nezi0JLDlLQyNEREREsuDqxTB+nfwP1li7MwTHi7MbWGPt/Dr5H65eDMv0sTdt2kTLli2dyyD369ePkSNHEhsby+nTpwkICOC7775Lss/w4cOd8wOfOHGCJ554gkceeYT777+fTz/9lLi4OE6fPk2jRo2SLLEcP/dvVmzatInnn3fMkzxixIhkj8+aNYsvvvgi1f1DQ0NZvHgxAN999x27du3KUj2ySj3CIiIiIlmwYeU+7Pa4NLex2+PY+Oc+ejzUPNPHj19iOd6oUaP466+/qFu3LpUrV2bFihXOJY1DQkI4ceIEJUuWBGDChAkMHjyYdu3aYRgGI0aMYPXq1dSqVStDSyxnxZdfZn7WjIMHD/LXX3/Ru3dv53PJSwrCIiIiImn4b+U+/vl9J7ExtkzvG2c32LLmEFvWHEpS7uHpRvs+9WnVpXaGjhMbG8vFixcpUqQI4Fh2uWjRogQHB1OtWjWWL19Ot27d2Lp1KwAlS5Zk4cKF+Pj4EBgYyKRJk3Bzc+PMmTPpnuvAgQN88MEHzrD85JNP8uyzz3Ly5El++eUX58pyNwff1q1bs379erZu3cqHH36In58fFouFBg0aADB+/Hj27NlDaGgoNWvW5KOPPmLy5MkcOHCAOXPmsH37dnr06EHLli157bXXOH36NHa7nYcffpgePXowZMgQatasyeHDhwkPD+ezzz6jQoXsDTvR0AgRERGRNGxYuS9LITgtsTE2Nqzcl+Y2GzduZMiQIfTo0YN+/frRuXNnWrZs6Xy8Z8+eLF26FIDVq1fTqVMn52OvvPIK9evXZ8KECbRq1YrXXnuNsDDHEI34JZbjb2PHjk1y3po1axIbG8uZM2e4ePEiISEh1K5dm+PHj/Pdd98xa9Ysqlevzrp161Ks97vvvsv48eOZNm0aFStWBCAyMhI/Pz+mTp3K/Pnz2bFjBxcuXGD48OG0aNGCBx54wLn/nDlzKF68OLNnz2bq1KlMmjSJq1evAhAYGMi0adNo3bq187lnh3qERURERNLQskvtLPcIp8bD042W6fQGxw+NCAkJ4ZFHHnGGynidOnXioYceol+/fpQqVQovLy/nYxs3bmTYsGEMGzaMiIgIPv74Y77++msGDx6coaERAwYMYNGiRXh4eNCvXz8ASpQowSuvvIKPjw9Hjx519vTe7PLly1StWhWARo0acfLkSTw8PLh69SovvPAChQoVIjIyEqvVmuL+wcHBtGrVCgBfX1+qVavGqVOnAKhd2/GalS1blsuXL6f5HDJCQVhEREQkDa261E5xCMPSGZvYtu5wsgvlEjNbTDRuWyNLY4TjFStWjE8//ZShQ4eyaNEiZ7mPjw9Vq1bl008/5b777kuyz6effoqXlxfNmjVzbhcSEpLhc/bo0YNhw4ZhNpv54YcfCAsL4/PPP2fNmjUAPPzwwxhGys+7TJkyziEbu3fvpkiRImzbto1z5845e3f//PNPDMPAbDYTF5d0nHW1atXYunUrnTt3Jjw8nEOHDiX7JyCnKAiLiIiIZEHLLrXZuSGYuDRmXLBYzLTonLFxwGmpXr06Q4YMYcyYMbz88svO8t69ezN69GgmTJjA8ePHneWTJk1izJgxjB07Fg8PDypWrMg777xDaGioc2hEYh9++CGVKlVy3vfx8aFmzZrYbDZ8fX0xDINGjRrxwAMP4Obmhp+fHxcvXkwxoL733nu8/PLL+Pr64uPjQ5EiRahRowa///47Dz30ECaTiUqVKnHx4kUqV67MoUOHmDZtmnP/+++/n7feeotBgwYRExPDiBEjKFGiRLZfw5SYjNTifC4KCgqicePGeX1aAPbv30+tWrXy5dxy+1P7ktyk9iW5Se0ra1KaRxgcPcEWi1nzCN+Qn+0rrdypHmERERGRLKpRrwLD3+7Nxj/3sWvjMWJjrHh4uhPYoiotOmtluYJOQVhEREQkG4qXLkyPh5pnaxyw5A9NnyYiIiIiLklBWERERERckoKwiIiIiLgkBWERERERcUm5crFcXFwc77zzDgcPHsTDw4MxY8ZQpUqV3DiViIiIiEiW5EqP8KpVq4iNjWXOnDmMGjUq2RrWIiIiIiL5LVeCcFBQEG3btgWgQYMG7NmzJzdOIyIiIiKSZbkShMPDw/H19XXet1gs2Gy23DiViIiIiEiW5MoYYV9fXyIiIpz34+LicHNLeqqgoKDcOHWG5Oe55fan9iW5Se1LcpPal+Smgti+ciUIN2rUiL///psePXqwY8cO/P39kzye2nrPIiIiIiJ5xWQYhpHTB42fNeLQoUMYhsGHH35ItWrVcvo0IiIiIiJZlitBWERERESkoNOCGiIiIiLikm6rIGy32/O7CnKbUxuT3KT2JbklLi4uv6sgt7mb29itMuDgtgnCdrsdi8VCXFwca9eu5dq1a/ldJbnNGIaBxWLh2rVrrFq1iuPHj+d3leQ2EhcX52xfW7du5fz58/ldJbmNmM2OP/erVq1i6tSpXL16NZ9rJLeTuLg4Zxvbvn074eHhmEymfK5Vxtw2QdhisXD+/HmGDx/Or7/+ypYtW9S7IjnKZDJx5MgRHnzwQYKCgli9erXzsVvlP18puMxmM4cOHWLw4MGsXr2aP//80/mY2pfkhC+++IKpU6dis9kICQlRu5IcEx+C33vvPSZNmsTPP/9MdHR0PtcqY3Jl+rS8YhhGkv84pk2bRqNGjRg+fDgAu3btws3Njdq1a+dXFeUWF/9frmEY2Gw2Fi1axLBhw7jvvvsAWLBgAV26dEmygIxIRsW3L7vdjs1mY+rUqTz66KPce++9gKN99erVCw8Pj/ytqNySEvfSRUZGcurUKaZPn47ZbCYiIoI5c+bQt29fPD0987mmcjtYvXo1ISEh/PTTT0RGRhIZGcn58+e54447kuW1guSW7RGOi4tzvqiRkZGAo1c48ZzFq1atwmKx5Ev95NaX+I9ITEwM7u7uFC9enIMHDzq32bJlCwcOHMivKsotLHH7AvD09KRChQqEhYU5y4KCgjh58mR+VE9ucYZhOANvaGgohQoV4tixY8ydOxdwfML1999/Exoamr8VlVtW/CcK8WODQ0JCnL/TChUqxOzZs9myZQtAgQ3BcIv2CCf+A/LVV19x/PhxevXqRYcOHXj//fcpU6YMJ06cYPPmzfTo0SOfayu3ovgx5+D4qOfSpUu0atWKatWqERoaysSJE6lUqRJHjhyhYsWK+VxbudUkbl8ffPABISEh9O7dm1KlSnHhwgXmzp2LxWLh8OHDFCtWLJ9rK7cik8nEvn37ePXVV6levToNGjRg7NixPPXUU5hMJv7991/8/f0pU6ZMfldVbjHxvbsmk4l169axZs0aatasSa9evVi2bBnTpk1j4MCB7Nq1i549e+Z3ddN1S88j/Nlnn3HlyhXatm3Lyy+/zO+//86ePXvYv38/hw4d4sUXX6R69er5XU25RUVHRzN79myuXLlC3bp12bt3L8WKFaNFixb8/fffXLt2jUceeUR/SCRLoqKi+OWXXwgJCaF48eJcuXKFWrVq4e3tzfbt2wkNDWXkyJFqX5Ilu3bt4qeffqJv376UK1eOjz76iEGDBlG9enU2bdqEyWRyDvEqyB9bS8G1bt06pk6dSseOHdm8eTM1atRgwIABjB49Gi8vL5o2bcqQIUPyu5rpuqWCcOI366pVq/j000+ZPHkyVatWZcGCBUyePJlffvmFUqVKYbVacXd3T/bxo0hqbv5j8OWXX7JmzRo+/fRTqlatyurVq9m6dSsBAQHOMZyQtHdPJDU3t6+PP/6YdevW8fvvv2MymZg2bRqhoaG0bt2apk2bOrdT+5KMSNxObDYb48aN49SpU7z66qtUqlSJrVu38sEHH/Dyyy/TsmVL5376GykZlbitbN68mZ9++on27dtz//33c/LkST788EO6dOlCv379iIyMpFChQsn2K4gKbs0Sic/qJpOJEydOEBoaSsWKFenduzfffvstkZGR9OvXj7Zt2zJz5kwA3N3dnWOkRNKTOKQcOnSI06dP89hjj1GlShXn1ftt2rThzjvvpEiRIkn2U0iR9CRuX8eOHSM8PJwXX3wRX19fpk2bBkDfvn2xWq3ExMQk2U/tS9ITP/UewMKFCzl69Cht27alevXqrF+/nitXrtCkSROefvppypYtm2Rf/Y2UjLDb7c4Lxy9evEjlypWpUaMGp06d4tixY1SuXJmHH36Y//77j8jISLy9vQFuiRx2S/UIL126lF9++YU2bdpw9uxZevbsyfbt27l27RqvvfZafldPbgM//fQTK1asoGLFivj5+dGtWze++eYbunXrxn333UdsbKyu4Jcsmz59OitWrKBMmTJUrFiRXr168cwzz/DCCy/QpUsXIiIi8PHxye9qyi0oPDycp59+mtq1a3P58mWqVatG0aJFOXPmDGXLluW+++5z/u7SUAjJijNnzjBmzBiKFClCQEAAhQsX5ty5cxQpUoSuXbtSpkyZAt/7m5JbpranTp1yDn8oXLgwp06d4vTp07Rs2ZLw8HCOHTuW7ApGkczYv38/27dvZ+bMmTRp0oSNGzdiGAZPP/00K1eu5Pr16wrBkmUbN25k48aNzJgxg4YNG7Js2TJiY2N5/fXX+eKLL4iOjk7SiyKSGUFBQdx111288sorXLhwgUuXLtG4cWP8/f3x8fFJ8rtLIVgyKzo6mokTJ/Loo48yaNAgFi1ahJubG7Vq1eLQoUOcOXMGwNlrfCu5ZXqEDx06xM8//0xAQABbt27l8ccf5+DBg3Tu3BmLxaJeFMm2CxcuMHbsWMxmMyVKlODRRx/lp59+4oUXXsBms+Hl5ZXfVZRbWHBwMLNnzyYmJgZPT0+GDh3K4sWLeeqppwgPD9dc1JItK1asYMKECZQtW5ZnnnmGyMhIdu/e7ZwlQiQ74odzde/eneXLl9OjRw8iIiLo3r074eHht/TsSbdMj7C/vz+HDx9m1qxZfPbZZ6xfv56VK1fi6empECw5ws3NjdKlS3PmzBkeeOABpk2b5pwX0cvL65b7L1cKFsMwuHTpEhcuXOCRRx5hxowZnD9/HsMw8PX1VfuSbOnQoQP169fHbrdTtGhRvvrqK+68805nCFb7kuzw9fWlTp06vP/++4wcOZKAgAAWLlzIpUuXnCH4Vm1jBbJH2Gaz4eaWMMVx/NWwFy9e5LXXXuPOO+8kLCyMsWPH5mMt5VaU3ti4vXv3smPHDvbs2UO5cuUYOXJkhvYTgfTbyd9//83hw4fZu3cvd955J88++2we1k5ud+Hh4cyYMYPw8HDat2+fZPYRkey6evUqX375JVarlaNHj/LWW29Rs2bN/K5WthWYIHz58uU0F8CID8NRUVHExcU5e4E1tZBkVOJB/BcuXEhzftZr1645Z4dQG5OMSNy+wsLCKFy4sPOxmwNy4van9iUZcfNFSGldlJR46W61LcmoxL+n0vqn/uLFi/j5+eHl5XVLXhx3swJT+5IlS/Lbb7/x4IMPMmfOHCDpRW/xPxBvb2/n9EKaWkgyI/7N+vnnn7N48WKio6OTPG63253fx8bGAmpjknHx7euzzz7jjz/+cLYhcPz+Sty+4i+KU1CR9MT3VZnNZs6dO8fGjRud9xO3qcR/Lw8dOqS2JRmWeIra8+fPExUVlWIIttlsAJQuXdr5qf2tHoKhAAThxG/kTp06ERwczLVr15JtE/9i//nnn0yYMIErV67oo2rJkMR/IBYtWsS8efN45JFHnP/Nxm8T/0djxowZfPTRR6n+MhBJLPGHajNnzmTlypX0798fDw+PJDPZxLev6dOn8/7772Oz2RRUJE1Wq9X5O2jz5s0MHz6cL774gkcffRQAi8WC3W539spdv36dESNGsG3bNrUtybD4Nvbbb7/xxhtvMG/evCSPG4aBYRi4ublx7tw5xowZw9GjR/Ojqrki34JwREQEsbGxzuEOu3fvJjAwkF9//ZWZM2fy/+3dd1RX9/3H8eeXqYhsEBVEURAlICoOXE0dSUsSQ6wxjsZgFaxxREXQoiIG0EZBXG0dJw4acB2jceAAJRGolqk4gKpAHExZylDm748cvoX82giNSpD34x/Fc+/hczzve+/rfu5nJCQkKMNvwwW9b98+Dh48iKurK4aGhq3VdNGGNCzm/eTJE+rq6ujTpw92dnbs2bMH+OFttrq6WllrwcHBxMfHs3z5cmWvnRD/TcPnw8rKSgD09PTo378/4eHhwA8PmJqamib1lZiYyLJly5rMgxDixy5fvkxKSgoASUlJbNmyhe3btxMaGkppaSnBwcHAD/cwFRUVbt++jYeHB46OjkyfPr01my7aiMYdkdeuXePgwYNs2rQJTU1NTp06RWZmJnV1dSgUChQKBVevXsXb25vevXtjbW3dii1/sV75nbi+vp7q6mo8PT1xdnbGwcEBb29vVFVV6dOnD3/84x/5/PPPWbx4MSNHjmThwoWYmZnxxRdfkJ+fz+bNm5uMvRPipygUChITEwkICGDo0KE4OTkxa9YsTpw4wfHjx3FxcUFdXZ2qqipWr16NlpYWmzdvlp5g0SwKhYKEhAT27NnD8OHD0dTUZOTIkdy+fZvY2FhGjhyJmpoaz549w9fXF01NTYKDg6W+xHNpaWlhb2/P3bt3qaiooKKigpSUFMzNzdm1axcTJkygV69euLi4EBUVxZ49e/jkk08YP358azddtAGNh/0dP36c7OxsDAwMOHHiBPHx8RgaGpKamoqnpycAJ0+e5OjRo8ydO7fJFt2vg1feI1xbW4uGhgbTpk3jyJEjbNiwgalTp7Jt2zZMTEz4+9//ztChQ1m7di19+/bFzMyM4OBgysvLCQoKkhAsWiQhIYGgoCB8fX2pr68nOjoaVVVV3nzzTSIiIsjOzubZs2ds374dS0tL1qxZIyFF/KTGQyFu3brFunXrWLhwITk5OcTFxaGhoYGRkREREREUFhZSWVmJn58fFhYW+Pr6Sn2Jn9QwDnPAgAFERUVx5MgRFAoF8+fP59KlSyQmJmJgYEBYWBhDhgyhqKiI+Ph4vLy8JASLZlMoFDx9+pS5c+dSWFjIp59+yscff4y+vj5bt26la9euyqGDkZGRHDt2DF9f39cuBMMrXjWi8ezCqqoqbt26hZ+fHx4eHowYMYK0tDROnDiBlpYW8+fPVz4wnjfDX4gGP54gcuHCBRQKBYaGhoSFhZGfn4+5uTljx46lX79+yrqSGhMtlZOTw507d7hz5w4DBgxgy5YtfPDBB5iZmdG1a1dqamqwsLAA4N69e/To0aOVWyx+yRpPWMrLyyMiIoLevXuTnJyMhoYGdnZ25OTkcOrUKdavX4+xsTHw74m9suuleJ4frwTx/fffM2vWLNzc3Jg2bRqVlZVs2rSJ4uJiAAIDA4EfNgMyNzd/bWvslQXhxiF49+7dbNmyhTNnzpCYmMjFixfx8fHByMiI5ORkDA0NlQ8NWb9VNFfjGouLi8PAwICePXty6tQprl69iq+vL8HBwRQUFLBkyRKMjY2lvkSzNa6vmJgYYmNj+eSTT/jtb39Lv379CAsLY//+/Vy/fp3169ejrq7+WiwtJF6ty5cvs3fvXm7fvs17773H8OHDSUxMpFOnTtja2gIwbNiwVm6laGsa34suXbpEdXU1urq6qKur4+/vz/Lly3F0dCQ/P5/i4mL69u3byi1+dV76Hbqqqory8nJUVFSoqanBy8uLiooKJk+ejJubG87OzvTp0wc/Pz+ePXvGwIEDm/ScSEgRzaWiokJRURGzZ8/m8uXLeHh48PXXX2NnZ0dMTAxr164lPT0db29vCcGixVRUVCgrKyMtLY2RI0eSlpZGZmYmAQEBPH78mI0bNxIbG4uPjw/q6urKc4T4KXFxcVy+fBmAhw8f8pe//AVvb2+OHj1KTk4OmZmZ2NraUlBQgL6+vjIE/0K2ABBtRMO9KCQkhP379/Ps2TMCAwMpLCxk3rx5fP755zx8+BATExNlCG684tLr7KXepSsqKti3bx/l5eXAD+PpioqK+Oyzz5RjTWbOnMmiRYsYOHCghBLxsx06dIhRo0bx2WefoaOjw8WLF9HT02PRokV069aNHTt2oK2trZwJK0Rz1dfXExgYyOLFizlx4gQeHh6kpaXh7OxMYGAgb7/9Nrt27UJHR6fJbGwh/ptnz56hpaXFsGHDyM7ORldXl7q6OjQ1NTEwMODjjz/mq6++QqFQ4O7u3mSmvty/RHOsW7eODRs2AFBZWUlqaiobN26krKyMzp07c+fOHRwcHJg0aZJy9ZsG7eVF/qUPjSgtLeXp06fcv3+fjh078s033zBp0iRsbGy4f/8+77//Ps7Ozvj7+wMyFEL8bxISEsjMzERfX5+oqCiysrJYvnw5JSUlFBQU8Lvf/U55rCw0L5qj8b0oIyMDQ0NDysrK8PPzIz8/n549e5KXl0doaGiT86S+RHM0rpOEhASOHTvG+++/T1paGg8fPmTRokWcPHmSkydPUlJSQkhICIaGhvKMFC3y+PFjXFxc8Pb2Zvz48SxYsAAtLS20tbXx9PRk586dTJw4EUtLS6B9ZrCXEvcb94bo6uoSGRnJ8ePHKS4upra2ljNnzrBjxw4CAgLYsGEDDx484N69e4C85Yrm+U+fbB49eoS6ujr379/H0dGR6upqAgMDMTU1VR4jO8WJ5qitrVXei8rLy/nqq6/Ytm0bSUlJ/OEPf2DZsmWMGTOGwsJCUlJSmtSj1JdoDlVVVYqLi1m8eDHXr1/HysqK6OhoTExM0NfXZ8WKFVy/fp3Q0FD69u3LgwcPAHlGipZRVVXF2toaT09P7t27x69//WuuXbvGlClTCA4OJisri169eimPb4/19cLXEW4cNI4cOYKmpiZjx44lNzeX27dv86tf/QpNTU2io6NxdXXF2NiY2tpaOnXq9KKbIl5jDZ9sbt26hampKV26dCE5ORl3d3dqamq4f/8++/fvZ926dbzxxhvK89rjRS5apvE9LDAwECsrK0xNTXF2dmbZsmWoqKhgb2/PihUreOutt9DS0mrlFou2onFvW1FREV5eXlhZWTFr1iwyMjK4ePEiqampuLm5kZmZycOHD/Hz86O+vh57e/tWbr1oa9LS0vDx8WHp0qUMGjSIJUuWcODAAVRVVYmJiUFHRwdvb2+gffYEN3ihQbjxrERPT0+0tbXR0dEhMjKSyZMn8+2331JaWoqrqyuamprExMQQExPD0qVLZac40WIxMTF88803VFVVsWLFCnr16sXJkydxcXEBYPr06cptbtvrBS5armGnuKVLl9KlSxd0dXU5cOAA3bp1Y+fOnRw8eJC4uDiqqqro0KFDazdXtBGN70Nnz56lvLycrKwstLS0KCwsxNLSkuLiYs6dO0dmZiY9e/bkH//4B8bGxqxevbqVWy/agh8Py8rPz6d79+4MHz6c4cOHk5uby0cffcSxY8eanNfeV7d5oUG4Ydb+8ePHMTc3Z9GiRfj7+ys/M86ePZvw8HD09PSUsxI//PBDWb9V/E9GjRrF4MGDOXPmDL6+vqirqysv5rq6OgnBotl+XCfZ2dmYmJjg6+sLgKGhIbt27eLtt99m9uzZzJ07t5VaKtqqhvrat28f586dw93dHRMTE86fP0+PHj2YN28egwcPpmfPnsqOIakz0Vx1dXXKEHz27FkcHR3R09PD1NSUCxcuMG7cOIYNG0ZsbCxZWVlYWFigUCior69v1yEYXsLQiJKSEo4dO0ZVVRXnz59n0aJFjBgxAh8fH1atWoWbmxsAHTp0wMHB4UX/evEays3NxdTUtElYafh7x44dmTRpEo6OjiQlJbF+/XqmT5+Oubk5IEMhxPM17g3Jzs5GU1OT6upqkpKSqKqqQkNDg/LycjQ0NFBTU1PWVHvvRREtV15ezpUrV1i7di3W1tZYWFgwc+ZMTp8+jZmZGVOnTlWGYHmJF83RcB9SUVGhtrYWf39/kpOTsbW1ZciQIZiYmBAZGcnRo0epra0lJCSkSeej1NgLnCx3+vRpvv76a0xMTPDy8mLOnDloa2tTVVXFvHnzsLe3x8DAQHm8/OeL5khNTWX16tWkpqaiUCiUk5IaB2KAHj164OLiwsyZMyktLW219oq2pyHM7t27Fw8PD9zc3CgrK6N///7Mnj2bI0eOsHXrVsaOHdvkviUhWLSUpqYmPXr0ICcnBwBLS0smTJjAunXrePfdd5scK89I8TwlJSVs3LiR6upqSkpKWLJkCX369OH48ePY2NiQl5eHhYUFHh4eTJ48mW3bttGlS5d2sz5wc72wHuGsrCxCQ0O5evUq1dXVDBo0CH9/fy5duoSbmxtjxowB5C1XtIyxsTGjR48mJCQEDw8PjIyMmvTENa6nrKws4uLiePPNN1uxxaIt2r9/P4mJiRw4cICoqChCQkLw9PTk1q1bPHr0CE9PTwYOHNjazRRtnJqaGg4ODkRHR3Pz5k1u376NhoYGTk5OgHxlEM2Xnp6OlpYWCxcupKioiC5dulBQUEBGRgYALi4u7Nu3jytXruDg4MDYsWMBWd7xP/nZ6whv27aNiRMnUl1dTWxsLF27dmX79u0UFRWxY8eOJjP2JQSL5mp8sZaUlBAWFkZBQQErV65ETU2Nurq6JrP7d+7cyaNHj5g3b16TLw9C/CeNA0dZWRlbt27lxo0bhIWFARAUFETnzp1xd3dXniP3L/GiJCcnc+3aNTp16sSHH34ISH2J5isoKCAkJAQVFRVmzZpFQEAA3bp1Y/bs2UyZMoXFixfzm9/8huzsbPLy8uQl/jl+dhAODw/n7t27lJaWkp+fz9KlS6mrqyMyMpIZM2bIsmii2RoeBA1/ZmZmEhkZqXyZiouLQ0VFhYULFzY5b/369Tx69Ig1a9ago6PTGk0XbVBWVhYRERG88cYbqKurc+XKFQAWLFiAh4cHTk5OTJ48uZVbKdoD6QkWLZWUlERCQgKampqMHz+egIAA3n33XaysrJg6dSr79+9v0hEp/ruffeU5Ozszbdo0rK2tSU5OxsfHBxMTE9zd3enUqZOMRRHN9vjxY+CHsXGxsbGsWrUKLS0tIiMjuXDhAqNGjSI7O5u9e/cqj1+6dCkKhYKgoCAJwaLZYmNjWblyJVpaWkRERHD27FmcnJxITk7GxcUFGxsbCcHilZEQLJqrIVN99913dOrUicLCQpKSkpRrBDd84dLV1W3llrYdL+TqMzIyYsqUKfzpT39i5syZaGtr//sXyAUumiElJYX33nuP4uJiAG7cuMHKlSvp378/t27dwszMDHV1dd555x369u1LRUUFq1atUm5sIMRP+fEL+c2bN5X1lZqaipmZGR06dGDOnDlYWFhga2sLNN0lUwghWkvDx/uGTKWurk7v3r2xsbEhJSWF/Px83NzcOHHiBCNHjsTc3Fw6IpvpZw+N+G9kvJNorobxwEFBQaSnp7Nr1y78/f1JTU3FxMSE5cuXc/bsWYyNjXF2dlbW1e3bt7Gysmrl1otfusbjzdPS0rCxscHHx4fMzEyMjIyU9WVkZMS4ceM4f/48Fy9exNfXF319/VZuvRCiPWucpbKzs6msrKR379789a9/RUNDgzlz5nDw4EFSUlKYP38+3bt3b+UWtz0vLQgL0RwNF3ldXR1ffvklhw4d4q233mLBggW88847zJkzB4CIiAgCAgLo3r27jKcTLVZVVYWHhwfGxsZMnDiRHj168MEHHzBv3jxqa2uJiIjA398fMzMzHj9+TE1NjUy6FEK0qsYhODw8nD179tC9e3d69+7NtGnT8Pb2ZuPGjTx58oSSkhLs7Oz+33ni+SRNiFb35MkT3N3dUVNTY/fu3SQlJXH69GlCQ0NRVVUlJyeHnTt3SggWzVZfX6/8lPj06VO2bNnCoEGD8PLy4tKlS2RkZLB582YUCoWyvszMzKivr0dHR0dCsBCi1TWE2S+//JLDhw/j6uqKt7c3qamphIWFkZ+fT0lJCebm5hKCf4YXvrOcEM/T+EJVKBSoqqqir6/PhAkTMDMzY9OmTUyZMgU9PT2mTp2qPE/WPxTN1VBfKSkp3Lt3j6SkJIYPH86SJUsYM2YMa9euxdfXl48++kh5jtSXEOKX5smTJ8THx7NmzRp69eoF/LC+/qhRo0hNTWXbtm0EBQUpj5cQ3HIShMUr1bhHNyYmBk1NTdTU1DAyMuLGjRsYGhpSWVmJnZ0d5eXlTc6VkCJaIjo6Gj8/P44dO8bo0aO5d+8eQ4YMwcnJicjISNTV1ZscL/UlhPil0dTUxNzcnOzsbGUQBhg8eDD29vYEBQXJl9KfSYKweKUaLtYNGzaQnp5O165d0dPTo7CwkFu3bnHu3DkePnyIt7c3Dg4OrdtY0ab8uEc3OzsbhUJBaWkp3bp1o2PHjoSGhvK3v/2NWbNmYW9v34qtFUKI59PQ0GDAgAF89913/Otf/+LGjRvK/RkOHz5Mfn6+9AL/TDJZTrwSjUPKzZs32b17N5s3b6akpIRvv/2WBw8eMHnyZHJycjA2NsbMzAyQ8U6ieRp6ROrr69m9eze2trbU1taSl5dHcnIynp6e6Ovr8/3336OtrY2hoSEg9SWEaBsSEhJISUmhU6dOyiFdubm5mJqatnLL2j7pERavhKqqKrm5uURFRZGbm0tBQQEAenp6GBkZER8fj6mpqfKibgg2ElJEc6ioqPDo0SO8vLyUywclJSUxceJELC0t+eKLL/jzn/+MhYUF8O8ALPUlhGgLHB0dcXR0VP5cX18vIfgFkSAsXprGvW0FBQV4eHhgaWlJfX09hYWFBAQE4O7uTmhoqHIDgwYy3km0RG1tLVevXmXw4MHMnz+fiooKOnbsSEZGBuPGjcPY2LjJ8RKAhRBtlXzJerEkCIuXovGFGhERQU5ODs7OzsyYMYP4+HjKy8u5cOEC2traDBw4EHd391ZusWhL/vnPf1JXV4eTkxPh4eFkZmYSHR2NtbU1AFpaWtTW1qKurk6/fv3o168fIA8QIUTbJ/ewF0uCsHgpGi7UQ4cOcerUKfr378+NGzcYOnQoQ4YMIS8vj7KyMn7/+98rx2vKzFfRHDU1Ndy4cYP8/Hzi4+NJTk7GxcWFnJwcrl27hpmZGd27d+f8+fN8+umnTc6VB4gQQojGZLKceGmioqLYvXs3a9asoW/fvuzbt4+srCzmz5+PsbExRUVFyo0LpKdOtERpaSmHDx/mwoULrFy5Ejs7O6Kjo1m+fDkODg4MHDiQESNG/L8hN0IIIURj0v0mXhorKyusra0JDw+nsrISZ2dn1NTUOHfuHAAGBgbK3b8kBIuW0NXVZeLEidjY2HDu3DmePHnC6NGjcXV1pXPnzsyZMwdbW1vq6upau6lCCCF+waRHWLxUaWlpnDlzBhMTE2bMmEF+fj4mJiat3SzxmkhLS+Ps2bPo6enh6ura2s0RQgjRxkiPsHipbGxsGDJkCOnp6dy9e1cZgqWnTrwINjY2ODo6kpGRQXp6uvLfpb6EEEI0h/QIi5eurq6OvLw8unbt2tpNEa8hqS8hhBD/KwnCQgghhBCiXZKhEUIIIYQQol2SICyEEEIIIdolCcJCCCGEEKJdkiAshBBCCCHaJQnCQgghhBCiXZIgLIQQQggh2iUJwkIIIYQQol36P+R8iZuWFzcfAAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] @@ -1610,23 +1620,23 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "['name_enc', 'model_year_enc', 'weight_enc']" + "['model_year_enc', 'weight_enc', 'horsepower_enc', 'origin_enc']" ] }, - "execution_count": 30, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# pick the optimal step based on visual inspection in the plot above (try to find a knee point)\n", - "model = forward_selection.get_model_from_step(2)\n", + "# pick the optimal step based on visual inspection in the plot above (try to find a knee point in the selection curve)\n", + "model = forward_selection.get_model_from_step(3)\n", "\n", "final_predictors = model.predictors\n", "final_predictors" @@ -1634,12 +1644,35 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 34, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "text/plain": [ + "{'model_year_enc': 0.5934134477782856,\n", + " 'weight_enc': 0.6043307579612892,\n", + " 'horsepower_enc': 0.23995291830303472,\n", + " 'origin_enc': 0.15250622734284733}" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.get_coef_by_predictor()" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", "text/plain": [ "
" ] @@ -1670,26 +1703,32 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 36, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'meta': 'linear-regression',\n", - " 'predictors': ['name_enc', 'model_year_enc', 'weight_enc'],\n", - " '_eval_metrics_by_split': {'train': 1.1534086552825373,\n", - " 'selection': 6.5207634572977815,\n", - " 'validation': 5.505019145326779},\n", + " 'predictors': ['model_year_enc',\n", + " 'weight_enc',\n", + " 'horsepower_enc',\n", + " 'origin_enc'],\n", + " '_eval_metrics_by_split': {'selection': 2.7377702963941553,\n", + " 'train': 2.8591028950870387,\n", + " 'validation': 2.937308715353213},\n", " 'params': {'copy_X': True,\n", " 'fit_intercept': True,\n", " 'n_jobs': None,\n", " 'normalize': False},\n", - " 'coef_': [0.8928990886890319, 0.0906241395141556, 0.09211683994952749],\n", - " 'intercept_': -1.7828679230545568}" + " 'coef_': [0.5934134477782856,\n", + " 0.6043307579612892,\n", + " 0.23995291830303472,\n", + " 0.15250622734284733],\n", + " 'intercept_': -13.893878727739807}" ] }, - "execution_count": 32, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -1701,17 +1740,17 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 37, "metadata": {}, "outputs": [], "source": [ "if False:\n", - " ## To save the model as a JSON file, run the following snippet\n", + " # to save the model as a JSON file, run the following snippet\n", " model_path = os.path.join(\"output\", \"model.json\")\n", " with open(model_path, \"w\") as file:\n", " json.dump(model_dict, file)\n", "\n", - " ## To reload the model again from a JSON file, run the following snippet\n", + " # to reload the model again from a JSON file, run the following snippet\n", " with open(model_path, \"r\") as file:\n", " model_dict = json.load(file)\n", " model = LinearRegressionModel()\n", @@ -1741,18 +1780,18 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 38, "metadata": {}, "outputs": [], "source": [ "# get numpy array of True target labels and predicted values\n", - "y_true = basetable[basetable[\"split\"]==\"selection\"][target_col].values\n", - "y_pred = model.score_model(basetable[basetable[\"split\"]==\"selection\"])" + "y_true = basetable[basetable[\"split\"]==\"validation\"][target_col].values\n", + "y_pred = model.score_model(basetable[basetable[\"split\"]==\"validation\"])" ] }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 39, "metadata": {}, "outputs": [], "source": [ @@ -1762,20 +1801,20 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 40, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "R2 0.258294\n", - "MAE 5.308761\n", - "MSE 42.520356\n", - "RMSE 6.520763\n", + "R2 0.849835\n", + "MAE 2.068583\n", + "MSE 8.627782\n", + "RMSE 2.937309\n", "dtype: float64" ] }, - "execution_count": 36, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -1786,12 +1825,12 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 41, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1806,18 +1845,18 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "quantiles [-2.241402727604945, -1.9599639845400545, -1.7...\n", - "residuals [-1.9577706611755745, -1.727671198202121, -1.7...\n", + "quantiles [-2.128045234184984, -1.8339146358159146, -1.6...\n", + "residuals [-1.8528672099028238, -1.8306478949888032, -1....\n", "dtype: object" ] }, - "execution_count": 38, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } @@ -1828,12 +1867,12 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 43, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] diff --git a/tutorials/tutorial_Cobra_logistic_regression.ipynb b/tutorials/tutorial_Cobra_logistic_regression.ipynb index b0fc48e..23a41b7 100644 --- a/tutorials/tutorial_Cobra_logistic_regression.ipynb +++ b/tutorials/tutorial_Cobra_logistic_regression.ipynb @@ -106,6 +106,7 @@ "source": [ "import json\n", "import os\n", + "import random\n", "import pandas as pd\n", "import numpy as np\n", "import seaborn as sns\n", @@ -119,30 +120,10 @@ "cell_type": "code", "execution_count": 5, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'1.1.0'" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import cobra\n", - "cobra.__version__" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, "outputs": [], "source": [ - "## specific function imports\n", + "from cobra import __version__\n", + "\n", "from cobra.preprocessing import PreProcessor\n", "\n", "from cobra.model_building import univariate_selection\n", @@ -158,6 +139,23 @@ "from cobra.evaluation import plot_incidence" ] }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The version of Cobra being used is 1.1.0.\n" + ] + } + ], + "source": [ + "print(f\"The version of Cobra being used is {__version__}.\")" + ] + }, { "cell_type": "code", "execution_count": 7, @@ -326,9 +324,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "In the example below, we assume the data for model building is available in a pandas DataFrame. This DataFrame should contain a an ID column, a target column (e.g. “**survived**”) and a number of candidate predictors (features) to build a model with.\n", + "In the example below, we assume the data for model building is available in a pandas DataFrame. This DataFrame should contain an ID column, a target column (e.g. “**survived**”) and a number of candidate predictors (features) to build a model with.\n", "\n", - "***\n" + "***" ] }, { @@ -395,15 +393,15 @@ "source": [ "#### The first part focusses on preparing the predictors for modelling by:\n", "\n", - "1. Defining the ID column, the target, discrete and contineous variables\n", + "1. Defining the ID column, the target, discrete and contineous variables.\n", "\n", "2. Splitting the dataset into training, selection and validation datasets.\n", "\n", - "3. Binning continuous variables into discrete intervals\n", + "3. Binning continuous variables into discrete intervals.\n", "\n", - "4. Replacing missing values of both categorical and continuous variables (which are now binned) with an additional “Missing” bin/category\n", + "4. Replacing missing values of both categorical and continuous variables (which are now binned) with an additional “Missing” bin/category.\n", "\n", - "5. Regrouping categories in new category “other”\n", + "5. Regrouping categories in new category “other”.\n", "\n", "6. Replacing bins/categories with their corresponding incidence rate per category/bin.\n", "\n", @@ -443,6 +441,26 @@ "target_col = \"survived\"" ] }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(891, 16)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -452,7 +470,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -463,14 +481,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Finding out which variables are categorical (discrete) and which are continuous.\n", + "We need to find out which variables are categorical (discrete) and which are continuous.\n", "\n", "Discrete variables are definitely those that contain strings." ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -491,12 +509,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Next, we also check for numerical columns that only contain a few different values, thus to be interpreted as discrete, categorical variables\n" + "Next, we also check for numerical columns that only contain a few different values, thus to be interpreted as discrete, categorical variables." ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -512,7 +530,7 @@ ], "source": [ "for col in df.columns:\n", - " if col not in discrete_vars and col not in [id_col, target_col]: # omit discrete because a string and target\n", + " if col not in discrete_vars and col not in [id_col, target_col]: # omit discrete because a string, and target\n", " val_counts = df[col].nunique()\n", " if val_counts > 1 and val_counts <= 10: # the column contains less than 10 different values\n", " print(col)" @@ -527,7 +545,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -546,7 +564,7 @@ " 'alone']" ] }, - "execution_count": 15, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -565,16 +583,16 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "['age', 'fare']" + "['fare', 'age']" ] }, - "execution_count": 16, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -595,7 +613,16 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "model_type = \"classification\"" + ] + }, + { + "cell_type": "code", + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -607,12 +634,12 @@ } ], "source": [ - "# using all Cobra's default parameters for preprocessing for now:\n", + "# using all Cobra's default parameters for preprocessing here\n", "preprocessor = PreProcessor.from_params(\n", - " model_type=\"classification\"\n", + " model_type=model_type\n", ")\n", "\n", - "# These are all available options: help(PreProcessor.from_params)" + "# these are all available options: help(PreProcessor.from_params)" ] }, { @@ -624,14 +651,15 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ + "random.seed(1212)\n", "basetable = preprocessor.train_selection_validation_split(data=df,\n", " train_prop=0.6,\n", - " selection_prop=0.2,\n", - " validation_prop=0.2)" + " selection_prop=0.25,\n", + " validation_prop=0.15)" ] }, { @@ -643,13 +671,13 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "46cc692e5282480993e906d8ad90135e", + "model_id": "ec69934c15fc423d870c6da00da551f3", "version_major": 2, "version_minor": 0 }, @@ -663,7 +691,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9f7a241f920842789e9ba45c368ed269", + "model_id": "cc9089afb2c94cab98e746e4194bd247", "version_major": 2, "version_minor": 0 }, @@ -677,7 +705,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "31e699dbfba8468fa9f44ca57b063854", + "model_id": "f1f742f1f845404abd09b45e258e12bc", "version_major": 2, "version_minor": 0 }, @@ -691,7 +719,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f536123c13d84aaf90a6f1b52419c21a", + "model_id": "9950456dc3a74f9abba556dab7103a79", "version_major": 2, "version_minor": 0 }, @@ -719,13 +747,13 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "6e959071b70346949904368da93acaaa", + "model_id": "07942c969ad142198ec237dbb2aa17f0", "version_major": 2, "version_minor": 0 }, @@ -739,7 +767,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "989caf81c993416d8a4fd5ebeef32e9c", + "model_id": "fdb83edd7258404da2b5d07b93bcf1cf", "version_major": 2, "version_minor": 0 }, @@ -785,8 +813,8 @@ " alone\n", " id\n", " split\n", - " age_bin\n", " fare_bin\n", + " age_bin\n", " sex_processed\n", " embarked_processed\n", " class_processed\n", @@ -805,8 +833,8 @@ " sibsp_enc\n", " parch_enc\n", " alone_enc\n", - " age_enc\n", " fare_enc\n", + " age_enc\n", " \n", " \n", " \n", @@ -825,29 +853,29 @@ " Southampton\n", " False\n", " 1\n", - " selection\n", + " train\n", + " 7.2 - 7.9\n", " 19.0 - 22.0\n", - " 0.0 - 7.7\n", " male\n", " Other\n", - " Third\n", + " Other\n", " Missing\n", " Other\n", - " 3\n", + " Other\n", " 1\n", " 0\n", " False\n", - " 0.196532\n", - " 0.343820\n", - " 0.251656\n", - " 0.307876\n", - " 0.343820\n", - " 0.251656\n", - " 0.551181\n", - " 0.345679\n", - " 0.521951\n", - " 0.282051\n", - " 0.137255\n", + " 0.190883\n", + " 0.389513\n", + " 0.311721\n", + " 0.300971\n", + " 0.389513\n", + " 0.311721\n", + " 0.540323\n", + " 0.354369\n", + " 0.516746\n", + " 0.232143\n", + " 0.270833\n", " \n", " \n", " 1\n", @@ -864,29 +892,29 @@ " Cherbourg\n", " False\n", " 2\n", - " validation\n", - " 35.0 - 40.0\n", - " 39.1 - 77.1\n", + " train\n", + " 39.6 - 78.1\n", + " 35.0 - 42.0\n", " female\n", - " C\n", + " Other\n", " First\n", " Other\n", - " Cherbourg\n", + " Other\n", " 1\n", " 1\n", " 0\n", " False\n", - " 0.740741\n", - " 0.606742\n", - " 0.666667\n", - " 0.651685\n", - " 0.606742\n", - " 0.666667\n", - " 0.551181\n", - " 0.345679\n", - " 0.521951\n", - " 0.418605\n", - " 0.509434\n", + " 0.772973\n", + " 0.389513\n", + " 0.629630\n", + " 0.647887\n", + " 0.389513\n", + " 0.629630\n", + " 0.540323\n", + " 0.354369\n", + " 0.516746\n", + " 0.566038\n", + " 0.357143\n", " \n", " \n", " 2\n", @@ -903,29 +931,29 @@ " Southampton\n", " True\n", " 3\n", - " train\n", - " 25.0 - 28.0\n", + " selection\n", " 7.9 - 8.1\n", + " 24.0 - 28.0\n", " female\n", " Other\n", - " Third\n", + " Other\n", " Missing\n", " Other\n", - " 3\n", + " Other\n", " 0\n", " 0\n", " True\n", - " 0.740741\n", - " 0.343820\n", - " 0.251656\n", - " 0.307876\n", - " 0.343820\n", - " 0.251656\n", - " 0.349727\n", - " 0.345679\n", - " 0.306061\n", - " 0.404762\n", - " 0.243243\n", + " 0.772973\n", + " 0.389513\n", + " 0.311721\n", + " 0.300971\n", + " 0.389513\n", + " 0.311721\n", + " 0.350543\n", + " 0.354369\n", + " 0.311927\n", + " 0.222222\n", + " 0.320000\n", " \n", " \n", " 3\n", @@ -943,8 +971,8 @@ " False\n", " 4\n", " train\n", + " 39.6 - 78.1\n", " 31.0 - 35.0\n", - " 39.1 - 77.1\n", " female\n", " Other\n", " First\n", @@ -954,17 +982,17 @@ " 1\n", " 0\n", " False\n", - " 0.740741\n", - " 0.343820\n", - " 0.666667\n", - " 0.651685\n", - " 0.343820\n", - " 0.666667\n", - " 0.551181\n", - " 0.345679\n", - " 0.521951\n", - " 0.500000\n", - " 0.509434\n", + " 0.772973\n", + " 0.389513\n", + " 0.629630\n", + " 0.647887\n", + " 0.389513\n", + " 0.629630\n", + " 0.540323\n", + " 0.354369\n", + " 0.516746\n", + " 0.566038\n", + " 0.536585\n", " \n", " \n", " 4\n", @@ -982,28 +1010,28 @@ " True\n", " 5\n", " train\n", - " 31.0 - 35.0\n", " 7.9 - 8.1\n", + " 31.0 - 35.0\n", " male\n", " Other\n", - " Third\n", + " Other\n", " Missing\n", " Other\n", - " 3\n", + " Other\n", " 0\n", " 0\n", " True\n", - " 0.196532\n", - " 0.343820\n", - " 0.251656\n", - " 0.307876\n", - " 0.343820\n", - " 0.251656\n", - " 0.349727\n", - " 0.345679\n", - " 0.306061\n", - " 0.500000\n", - " 0.243243\n", + " 0.190883\n", + " 0.389513\n", + " 0.311721\n", + " 0.300971\n", + " 0.389513\n", + " 0.311721\n", + " 0.350543\n", + " 0.354369\n", + " 0.311927\n", + " 0.222222\n", + " 0.536585\n", " \n", " \n", "\n", @@ -1017,43 +1045,43 @@ "3 1 1 female 35.0 1 0 53.1000 S First C \n", "4 0 3 male 35.0 0 0 8.0500 S Third NaN \n", "\n", - " embark_town alone id split age_bin fare_bin sex_processed \\\n", - "0 Southampton False 1 selection 19.0 - 22.0 0.0 - 7.7 male \n", - "1 Cherbourg False 2 validation 35.0 - 40.0 39.1 - 77.1 female \n", - "2 Southampton True 3 train 25.0 - 28.0 7.9 - 8.1 female \n", - "3 Southampton False 4 train 31.0 - 35.0 39.1 - 77.1 female \n", - "4 Southampton True 5 train 31.0 - 35.0 7.9 - 8.1 male \n", + " embark_town alone id split fare_bin age_bin sex_processed \\\n", + "0 Southampton False 1 train 7.2 - 7.9 19.0 - 22.0 male \n", + "1 Cherbourg False 2 train 39.6 - 78.1 35.0 - 42.0 female \n", + "2 Southampton True 3 selection 7.9 - 8.1 24.0 - 28.0 female \n", + "3 Southampton False 4 train 39.6 - 78.1 31.0 - 35.0 female \n", + "4 Southampton True 5 train 7.9 - 8.1 31.0 - 35.0 male \n", "\n", " embarked_processed class_processed deck_processed embark_town_processed \\\n", - "0 Other Third Missing Other \n", - "1 C First Other Cherbourg \n", - "2 Other Third Missing Other \n", + "0 Other Other Missing Other \n", + "1 Other First Other Other \n", + "2 Other Other Missing Other \n", "3 Other First Other Other \n", - "4 Other Third Missing Other \n", + "4 Other Other Missing Other \n", "\n", " pclass_processed sibsp_processed parch_processed alone_processed \\\n", - "0 3 1 0 False \n", + "0 Other 1 0 False \n", "1 1 1 0 False \n", - "2 3 0 0 True \n", + "2 Other 0 0 True \n", "3 1 1 0 False \n", - "4 3 0 0 True \n", + "4 Other 0 0 True \n", "\n", " sex_enc embarked_enc class_enc deck_enc embark_town_enc pclass_enc \\\n", - "0 0.196532 0.343820 0.251656 0.307876 0.343820 0.251656 \n", - "1 0.740741 0.606742 0.666667 0.651685 0.606742 0.666667 \n", - "2 0.740741 0.343820 0.251656 0.307876 0.343820 0.251656 \n", - "3 0.740741 0.343820 0.666667 0.651685 0.343820 0.666667 \n", - "4 0.196532 0.343820 0.251656 0.307876 0.343820 0.251656 \n", + "0 0.190883 0.389513 0.311721 0.300971 0.389513 0.311721 \n", + "1 0.772973 0.389513 0.629630 0.647887 0.389513 0.629630 \n", + "2 0.772973 0.389513 0.311721 0.300971 0.389513 0.311721 \n", + "3 0.772973 0.389513 0.629630 0.647887 0.389513 0.629630 \n", + "4 0.190883 0.389513 0.311721 0.300971 0.389513 0.311721 \n", "\n", - " sibsp_enc parch_enc alone_enc age_enc fare_enc \n", - "0 0.551181 0.345679 0.521951 0.282051 0.137255 \n", - "1 0.551181 0.345679 0.521951 0.418605 0.509434 \n", - "2 0.349727 0.345679 0.306061 0.404762 0.243243 \n", - "3 0.551181 0.345679 0.521951 0.500000 0.509434 \n", - "4 0.349727 0.345679 0.306061 0.500000 0.243243 " + " sibsp_enc parch_enc alone_enc fare_enc age_enc \n", + "0 0.540323 0.354369 0.516746 0.232143 0.270833 \n", + "1 0.540323 0.354369 0.516746 0.566038 0.357143 \n", + "2 0.350543 0.354369 0.311927 0.222222 0.320000 \n", + "3 0.540323 0.354369 0.516746 0.566038 0.536585 \n", + "4 0.350543 0.354369 0.311927 0.222222 0.536585 " ] }, - "execution_count": 20, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -1081,7 +1109,157 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Other 889\n", + "Missing 2\n", + "Name: embark_town_processed, dtype: int64" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "basetable[\"embark_town_processed\"].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "61 NaN\n", + "829 NaN\n", + "Name: embark_town, dtype: object" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "basetable[\"embark_town\"][basetable[\"embark_town\"].isnull()]" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "survived 1\n", + "pclass 1\n", + "sex female\n", + "age 38.0\n", + "sibsp 0\n", + "parch 0\n", + "fare 80.0\n", + "embarked NaN\n", + "class First\n", + "deck B\n", + "embark_town NaN\n", + "alone True\n", + "id 62\n", + "split train\n", + "fare_bin 78.1 - 512.3\n", + "age_bin 35.0 - 42.0\n", + "sex_processed female\n", + "embarked_processed Missing\n", + "class_processed First\n", + "deck_processed B\n", + "embark_town_processed Missing\n", + "pclass_processed 1\n", + "sibsp_processed 0\n", + "parch_processed 0\n", + "alone_processed True\n", + "sex_enc 0.772973\n", + "embarked_enc 1.0\n", + "class_enc 0.62963\n", + "deck_enc 0.766667\n", + "embark_town_enc 1.0\n", + "pclass_enc 0.62963\n", + "sibsp_enc 0.350543\n", + "parch_enc 0.354369\n", + "alone_enc 0.311927\n", + "fare_enc 0.740741\n", + "age_enc 0.357143\n", + "Name: 61, dtype: object" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "basetable.iloc[61, :]" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Southampton 644\n", + "Cherbourg 168\n", + "Queenstown 77\n", + "Name: embark_town, dtype: int64" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "basetable[\"embark_town\"].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "survived embark_town\n", + "0 Southampton 107\n", + " Cherbourg 14\n", + " Queenstown 11\n", + "1 Southampton 60\n", + " Cherbourg 24\n", + " Queenstown 6\n", + "Name: embark_town, dtype: int64" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[df[\"split\"]==\"selection\"].groupby(\"survived\")[\"embark_town\"].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -1116,114 +1294,462 @@ " \n", " 0\n", " age\n", - " 0.0 - 13.0\n", - " 0.073034\n", - " 0.342697\n", - " 0.615385\n", + " 1.0 - 14.0\n", + " 0.083955\n", + " 0.391791\n", + " 0.577778\n", " \n", " \n", " 1\n", " age\n", - " 13.0 - 19.0\n", - " 0.112360\n", - " 0.342697\n", - " 0.350000\n", + " 14.0 - 19.0\n", + " 0.095149\n", + " 0.391791\n", + " 0.411765\n", " \n", " \n", " 2\n", " age\n", " 19.0 - 22.0\n", - " 0.061798\n", - " 0.342697\n", - " 0.181818\n", + " 0.089552\n", + " 0.391791\n", + " 0.270833\n", " \n", " \n", " 3\n", " age\n", - " 22.0 - 25.0\n", - " 0.078652\n", - " 0.342697\n", - " 0.500000\n", + " 22.0 - 24.0\n", + " 0.050373\n", + " 0.391791\n", + " 0.518519\n", " \n", " \n", " 4\n", " age\n", - " 25.0 - 28.0\n", - " 0.067416\n", - " 0.342697\n", + " 24.0 - 28.0\n", + " 0.093284\n", + " 0.391791\n", + " 0.320000\n", + " \n", + " \n", + " 5\n", + " age\n", + " 28.0 - 31.0\n", + " 0.069030\n", + " 0.391791\n", + " 0.459459\n", + " \n", + " \n", + " 6\n", + " age\n", + " 31.0 - 35.0\n", + " 0.076493\n", + " 0.391791\n", + " 0.536585\n", + " \n", + " \n", + " 7\n", + " age\n", + " 35.0 - 42.0\n", + " 0.078358\n", + " 0.391791\n", + " 0.357143\n", + " \n", + " \n", + " 8\n", + " age\n", + " 42.0 - 51.0\n", + " 0.072761\n", + " 0.391791\n", + " 0.410256\n", + " \n", + " \n", + " 9\n", + " age\n", + " 51.0 - 80.0\n", + " 0.074627\n", + " 0.391791\n", + " 0.400000\n", + " \n", + " \n", + " 10\n", + " age\n", + " Missing\n", + " 0.216418\n", + " 0.391791\n", + " 0.293103\n", + " \n", + " \n", + " 0\n", + " alone\n", + " False\n", + " 0.389925\n", + " 0.391791\n", + " 0.516746\n", + " \n", + " \n", + " 1\n", + " alone\n", + " True\n", + " 0.610075\n", + " 0.391791\n", + " 0.311927\n", + " \n", + " \n", + " 0\n", + " class\n", + " First\n", + " 0.251866\n", + " 0.391791\n", + " 0.629630\n", + " \n", + " \n", + " 1\n", + " class\n", + " Other\n", + " 0.748134\n", + " 0.391791\n", + " 0.311721\n", + " \n", + " \n", + " 0\n", + " deck\n", + " B\n", + " 0.055970\n", + " 0.391791\n", + " 0.766667\n", + " \n", + " \n", + " 1\n", + " deck\n", + " D\n", + " 0.042910\n", + " 0.391791\n", + " 0.739130\n", + " \n", + " \n", + " 2\n", + " deck\n", + " Missing\n", + " 0.768657\n", + " 0.391791\n", + " 0.300971\n", + " \n", + " \n", + " 3\n", + " deck\n", + " Other\n", + " 0.132463\n", + " 0.391791\n", + " 0.647887\n", + " \n", + " \n", + " 0\n", + " embark_town\n", + " Missing\n", + " 0.003731\n", + " 0.391791\n", + " 1.000000\n", + " \n", + " \n", + " 1\n", + " embark_town\n", + " Other\n", + " 0.996269\n", + " 0.391791\n", + " 0.389513\n", + " \n", + " \n", + " 0\n", + " embarked\n", + " Missing\n", + " 0.003731\n", + " 0.391791\n", + " 1.000000\n", + " \n", + " \n", + " 1\n", + " embarked\n", + " Other\n", + " 0.996269\n", + " 0.391791\n", + " 0.389513\n", + " \n", + " \n", + " 0\n", + " fare\n", + " 0.0 - 7.2\n", + " 0.050373\n", + " 0.391791\n", + " 0.074074\n", + " \n", + " \n", + " 1\n", + " fare\n", + " 7.2 - 7.9\n", + " 0.208955\n", + " 0.391791\n", + " 0.232143\n", + " \n", + " \n", + " 2\n", + " fare\n", + " 7.9 - 8.1\n", + " 0.067164\n", + " 0.391791\n", + " 0.222222\n", + " \n", + " \n", + " 3\n", + " fare\n", + " 8.1 - 10.5\n", + " 0.083955\n", + " 0.391791\n", + " 0.244444\n", + " \n", + " \n", + " 4\n", + " fare\n", + " 10.5 - 14.5\n", + " 0.100746\n", + " 0.391791\n", + " 0.444444\n", + " \n", + " \n", + " 5\n", + " fare\n", + " 14.5 - 21.1\n", + " 0.091418\n", + " 0.391791\n", + " 0.408163\n", + " \n", + " \n", + " 6\n", + " fare\n", + " 21.1 - 27.4\n", + " 0.097015\n", + " 0.391791\n", + " 0.519231\n", + " \n", + " \n", + " 7\n", + " fare\n", + " 27.4 - 39.6\n", + " 0.100746\n", + " 0.391791\n", + " 0.407407\n", + " \n", + " \n", + " 8\n", + " fare\n", + " 39.6 - 78.1\n", + " 0.098881\n", + " 0.391791\n", + " 0.566038\n", + " \n", + " \n", + " 9\n", + " fare\n", + " 78.1 - 512.3\n", + " 0.100746\n", + " 0.391791\n", + " 0.740741\n", + " \n", + " \n", + " 0\n", + " parch\n", + " 0\n", + " 0.768657\n", + " 0.391791\n", + " 0.354369\n", + " \n", + " \n", + " 1\n", + " parch\n", + " 1\n", + " 0.121269\n", + " 0.391791\n", + " 0.553846\n", + " \n", + " \n", + " 2\n", + " parch\n", + " 2\n", + " 0.091418\n", + " 0.391791\n", + " 0.510204\n", + " \n", + " \n", + " 3\n", + " parch\n", + " 3\n", + " 0.007463\n", + " 0.391791\n", + " 0.500000\n", + " \n", + " \n", + " 4\n", + " parch\n", + " 4\n", + " 0.005597\n", + " 0.391791\n", + " 0.000000\n", + " \n", + " \n", + " 5\n", + " parch\n", + " 5\n", + " 0.005597\n", + " 0.391791\n", " 0.333333\n", " \n", " \n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", + " 0\n", + " pclass\n", + " 1\n", + " 0.251866\n", + " 0.391791\n", + " 0.629630\n", + " \n", + " \n", + " 1\n", + " pclass\n", + " Other\n", + " 0.748134\n", + " 0.391791\n", + " 0.311721\n", + " \n", + " \n", + " 0\n", + " sex\n", + " female\n", + " 0.345149\n", + " 0.391791\n", + " 0.772973\n", + " \n", + " \n", + " 1\n", + " sex\n", + " male\n", + " 0.654851\n", + " 0.391791\n", + " 0.190883\n", + " \n", + " \n", + " 0\n", + " sibsp\n", + " 0\n", + " 0.686567\n", + " 0.391791\n", + " 0.350543\n", + " \n", + " \n", + " 1\n", + " sibsp\n", + " 1\n", + " 0.231343\n", + " 0.391791\n", + " 0.540323\n", " \n", " \n", " 2\n", " sibsp\n", " 2\n", - " 0.033708\n", - " 0.342697\n", - " 0.500000\n", + " 0.031716\n", + " 0.391791\n", + " 0.529412\n", " \n", " \n", " 3\n", " sibsp\n", " 3\n", - " 0.016854\n", - " 0.342697\n", - " 0.666667\n", + " 0.020522\n", + " 0.391791\n", + " 0.181818\n", " \n", " \n", " 4\n", " sibsp\n", " 4\n", - " 0.011236\n", - " 0.342697\n", - " 0.000000\n", + " 0.020522\n", + " 0.391791\n", + " 0.272727\n", " \n", " \n", " 5\n", " sibsp\n", " 5\n", - " 0.016854\n", - " 0.342697\n", + " 0.005597\n", + " 0.391791\n", " 0.000000\n", " \n", " \n", " 6\n", " sibsp\n", " 8\n", - " 0.005618\n", - " 0.342697\n", + " 0.003731\n", + " 0.391791\n", " 0.000000\n", " \n", " \n", "\n", - "

53 rows × 5 columns

\n", "" ], "text/plain": [ - " variable label pop_size global_avg_target avg_target\n", - "0 age 0.0 - 13.0 0.073034 0.342697 0.615385\n", - "1 age 13.0 - 19.0 0.112360 0.342697 0.350000\n", - "2 age 19.0 - 22.0 0.061798 0.342697 0.181818\n", - "3 age 22.0 - 25.0 0.078652 0.342697 0.500000\n", - "4 age 25.0 - 28.0 0.067416 0.342697 0.333333\n", - ".. ... ... ... ... ...\n", - "2 sibsp 2 0.033708 0.342697 0.500000\n", - "3 sibsp 3 0.016854 0.342697 0.666667\n", - "4 sibsp 4 0.011236 0.342697 0.000000\n", - "5 sibsp 5 0.016854 0.342697 0.000000\n", - "6 sibsp 8 0.005618 0.342697 0.000000\n", - "\n", - "[53 rows x 5 columns]" + " variable label pop_size global_avg_target avg_target\n", + "0 age 1.0 - 14.0 0.083955 0.391791 0.577778\n", + "1 age 14.0 - 19.0 0.095149 0.391791 0.411765\n", + "2 age 19.0 - 22.0 0.089552 0.391791 0.270833\n", + "3 age 22.0 - 24.0 0.050373 0.391791 0.518519\n", + "4 age 24.0 - 28.0 0.093284 0.391791 0.320000\n", + "5 age 28.0 - 31.0 0.069030 0.391791 0.459459\n", + "6 age 31.0 - 35.0 0.076493 0.391791 0.536585\n", + "7 age 35.0 - 42.0 0.078358 0.391791 0.357143\n", + "8 age 42.0 - 51.0 0.072761 0.391791 0.410256\n", + "9 age 51.0 - 80.0 0.074627 0.391791 0.400000\n", + "10 age Missing 0.216418 0.391791 0.293103\n", + "0 alone False 0.389925 0.391791 0.516746\n", + "1 alone True 0.610075 0.391791 0.311927\n", + "0 class First 0.251866 0.391791 0.629630\n", + "1 class Other 0.748134 0.391791 0.311721\n", + "0 deck B 0.055970 0.391791 0.766667\n", + "1 deck D 0.042910 0.391791 0.739130\n", + "2 deck Missing 0.768657 0.391791 0.300971\n", + "3 deck Other 0.132463 0.391791 0.647887\n", + "0 embark_town Missing 0.003731 0.391791 1.000000\n", + "1 embark_town Other 0.996269 0.391791 0.389513\n", + "0 embarked Missing 0.003731 0.391791 1.000000\n", + "1 embarked Other 0.996269 0.391791 0.389513\n", + "0 fare 0.0 - 7.2 0.050373 0.391791 0.074074\n", + "1 fare 7.2 - 7.9 0.208955 0.391791 0.232143\n", + "2 fare 7.9 - 8.1 0.067164 0.391791 0.222222\n", + "3 fare 8.1 - 10.5 0.083955 0.391791 0.244444\n", + "4 fare 10.5 - 14.5 0.100746 0.391791 0.444444\n", + "5 fare 14.5 - 21.1 0.091418 0.391791 0.408163\n", + "6 fare 21.1 - 27.4 0.097015 0.391791 0.519231\n", + "7 fare 27.4 - 39.6 0.100746 0.391791 0.407407\n", + "8 fare 39.6 - 78.1 0.098881 0.391791 0.566038\n", + "9 fare 78.1 - 512.3 0.100746 0.391791 0.740741\n", + "0 parch 0 0.768657 0.391791 0.354369\n", + "1 parch 1 0.121269 0.391791 0.553846\n", + "2 parch 2 0.091418 0.391791 0.510204\n", + "3 parch 3 0.007463 0.391791 0.500000\n", + "4 parch 4 0.005597 0.391791 0.000000\n", + "5 parch 5 0.005597 0.391791 0.333333\n", + "0 pclass 1 0.251866 0.391791 0.629630\n", + "1 pclass Other 0.748134 0.391791 0.311721\n", + "0 sex female 0.345149 0.391791 0.772973\n", + "1 sex male 0.654851 0.391791 0.190883\n", + "0 sibsp 0 0.686567 0.391791 0.350543\n", + "1 sibsp 1 0.231343 0.391791 0.540323\n", + "2 sibsp 2 0.031716 0.391791 0.529412\n", + "3 sibsp 3 0.020522 0.391791 0.181818\n", + "4 sibsp 4 0.020522 0.391791 0.272727\n", + "5 sibsp 5 0.005597 0.391791 0.000000\n", + "6 sibsp 8 0.003731 0.391791 0.000000" ] }, - "execution_count": 21, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -1231,7 +1757,7 @@ "source": [ "predictor_list = [col for col in basetable.columns\n", " if col.endswith(\"_bin\") or col.endswith(\"_processed\")]\n", - "pig_tables = generate_pig_tables(basetable[basetable[\"split\"]==\"selection\"],\n", + "pig_tables = generate_pig_tables(basetable[basetable[\"split\"]==\"train\"],\n", " id_column_name=id_col,\n", " target_column_name=target_col,\n", " preprocessed_predictors=predictor_list)\n", @@ -1247,14 +1773,14 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 29, "metadata": { "scrolled": true }, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1265,7 +1791,7 @@ ], "source": [ "col_order = list(basetable[\"age_bin\"].unique().sort_values())\n", - "plot_incidence(pig_tables, variable=\"age\", model_type=\"classification\", column_order=col_order)" + "plot_incidence(pig_tables, variable=\"age\", model_type=model_type, column_order=col_order)" ] }, { @@ -1295,7 +1821,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -1314,7 +1840,7 @@ " 'sibsp_processed']" ] }, - "execution_count": 23, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -1335,7 +1861,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 31, "metadata": {}, "outputs": [], "source": [ @@ -1351,12 +1877,12 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 32, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -1371,6 +1897,7 @@ " target_enc_selection_data=basetable[basetable[\"split\"]==\"selection\"],\n", " predictors=preprocessed_predictors,\n", " target_column=target_col,\n", + " model_type=model_type,\n", " preselect_auc_threshold=0.53, # if auc_selection <= 0.53 exclude predictor\n", " preselect_overtrain_threshold=0.05) # if (auc_train - auc_selection) >= 0.05 --> overfitting!\n", "\n", @@ -1386,12 +1913,12 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 33, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -1418,7 +1945,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -1426,18 +1953,16 @@ "text/plain": [ "['sex_enc',\n", " 'fare_enc',\n", + " 'sibsp_enc',\n", + " 'alone_enc',\n", + " 'deck_enc',\n", " 'class_enc',\n", " 'pclass_enc',\n", - " 'deck_enc',\n", " 'age_enc',\n", - " 'sibsp_enc',\n", - " 'alone_enc',\n", - " 'embarked_enc',\n", - " 'embark_town_enc',\n", " 'parch_enc']" ] }, - "execution_count": 27, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -1458,12 +1983,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Modeling" + "## Modelling" ] }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 35, "metadata": { "scrolled": false }, @@ -1471,12 +1996,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "02a6a2f0a7994ed5975b5fc5bd387b91", + "model_id": "8dfadae39b364999b8549573d4eae401", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "Sequentially adding best predictor...: 0%| | 0/11 [00:000\n", " [sex_enc]\n", " sex_enc\n", - " 0.761615\n", - " 0.800476\n", - " 0.752577\n", + " 0.776059\n", + " 0.744192\n", + " 0.768315\n", " classification\n", " \n", " \n", " 1\n", " [sex_enc, fare_enc]\n", " fare_enc\n", - " 0.826159\n", - " 0.858624\n", - " 0.785649\n", + " 0.831697\n", + " 0.809133\n", + " 0.816327\n", " classification\n", " \n", " \n", " 2\n", - " [fare_enc, sex_enc, class_enc]\n", - " class_enc\n", - " 0.834634\n", - " 0.883635\n", - " 0.808219\n", + " [fare_enc, sex_enc, age_enc]\n", + " age_enc\n", + " 0.841944\n", + " 0.825715\n", + " 0.816457\n", " classification\n", " \n", " \n", " 3\n", - " [class_enc, fare_enc, sex_enc, age_enc]\n", - " age_enc\n", - " 0.846029\n", - " 0.900939\n", - " 0.810176\n", + " [fare_enc, age_enc, sex_enc, class_enc]\n", + " class_enc\n", + " 0.846151\n", + " 0.837500\n", + " 0.830717\n", " classification\n", " \n", " \n", " 4\n", - " [class_enc, fare_enc, age_enc, sex_enc, parch_...\n", - " parch_enc\n", - " 0.846955\n", - " 0.899748\n", - " 0.814090\n", + " [fare_enc, age_enc, class_enc, sex_enc, sibsp_...\n", + " sibsp_enc\n", + " 0.852089\n", + " 0.844360\n", + " 0.827708\n", " classification\n", " \n", " \n", " 5\n", - " [fare_enc, parch_enc, age_enc, class_enc, sex_...\n", + " [class_enc, age_enc, fare_enc, sex_enc, sibsp_...\n", + " deck_enc\n", + " 0.854462\n", + " 0.844655\n", + " 0.824568\n", + " classification\n", + " \n", + " \n", + " 6\n", + " [age_enc, class_enc, deck_enc, fare_enc, sex_e...\n", " pclass_enc\n", - " 0.846955\n", - " 0.899748\n", - " 0.814090\n", + " 0.854462\n", + " 0.844655\n", + " 0.824568\n", + " classification\n", + " \n", + " \n", + " 7\n", + " [class_enc, age_enc, deck_enc, fare_enc, pclas...\n", + " parch_enc\n", + " 0.856193\n", + " 0.843981\n", + " 0.825615\n", " classification\n", " \n", " \n", @@ -1574,18 +2117,22 @@ " predictors last_added_predictor \\\n", "0 [sex_enc] sex_enc \n", "1 [sex_enc, fare_enc] fare_enc \n", - "2 [fare_enc, sex_enc, class_enc] class_enc \n", - "3 [class_enc, fare_enc, sex_enc, age_enc] age_enc \n", - "4 [class_enc, fare_enc, age_enc, sex_enc, parch_... parch_enc \n", - "5 [fare_enc, parch_enc, age_enc, class_enc, sex_... pclass_enc \n", + "2 [fare_enc, sex_enc, age_enc] age_enc \n", + "3 [fare_enc, age_enc, sex_enc, class_enc] class_enc \n", + "4 [fare_enc, age_enc, class_enc, sex_enc, sibsp_... sibsp_enc \n", + "5 [class_enc, age_enc, fare_enc, sex_enc, sibsp_... deck_enc \n", + "6 [age_enc, class_enc, deck_enc, fare_enc, sex_e... pclass_enc \n", + "7 [class_enc, age_enc, deck_enc, fare_enc, pclas... parch_enc \n", "\n", " train_performance selection_performance validation_performance \\\n", - "0 0.761615 0.800476 0.752577 \n", - "1 0.826159 0.858624 0.785649 \n", - "2 0.834634 0.883635 0.808219 \n", - "3 0.846029 0.900939 0.810176 \n", - "4 0.846955 0.899748 0.814090 \n", - "5 0.846955 0.899748 0.814090 \n", + "0 0.776059 0.744192 0.768315 \n", + "1 0.831697 0.809133 0.816327 \n", + "2 0.841944 0.825715 0.816457 \n", + "3 0.846151 0.837500 0.830717 \n", + "4 0.852089 0.844360 0.827708 \n", + "5 0.854462 0.844655 0.824568 \n", + "6 0.854462 0.844655 0.824568 \n", + "7 0.856193 0.843981 0.825615 \n", "\n", " model_type \n", "0 classification \n", @@ -1593,22 +2140,24 @@ "2 classification \n", "3 classification \n", "4 classification \n", - "5 classification " + "5 classification \n", + "6 classification \n", + "7 classification " ] }, - "execution_count": 28, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "forward_selection = ForwardFeatureSelection(model_type=\"classification\",\n", - " max_predictors=30,\n", + "forward_selection = ForwardFeatureSelection(model_type=model_type,\n", + " # model_name=\"my-logistic-regression\",\n", " pos_only=True)\n", "\n", - "# fit the forward feature selection on the train data\n", - "# has optional parameters to force and/or exclude certain predictors (see docs)\n", - "forward_selection.fit(basetable[basetable[\"split\"]==\"train\"],\n", + "# fit the forward feature selection on the train and selection data\n", + "# there are optional parameters to force and/or exclude certain predictors (see docs)\n", + "forward_selection.fit(basetable[basetable[\"split\"]!=\"validation\"],\n", " target_column_name=target_col,\n", " predictors=preselected_predictors)\n", "\n", @@ -1627,12 +2176,12 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 36, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ "
" ] @@ -1655,23 +2204,23 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 37, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "['fare_enc', 'parch_enc', 'age_enc', 'class_enc', 'sex_enc', 'pclass_enc']" + "['fare_enc', 'age_enc', 'class_enc', 'sex_enc', 'sibsp_enc']" ] }, - "execution_count": 30, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# pick the optimal step based on visual inspection in the plot above (try to find a knee point)\n", - "model = forward_selection.get_model_from_step(5)\n", + "# pick the optimal step based on visual inspection in the plot above (try to find a knee point in the selection curve)\n", + "model = forward_selection.get_model_from_step(4)\n", "\n", "final_predictors = model.predictors\n", "final_predictors" @@ -1679,12 +2228,36 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 38, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "text/plain": [ + "{'fare_enc': 0.7172923586423356,\n", + " 'age_enc': 3.6439760175414073,\n", + " 'class_enc': 4.0168034995188515,\n", + " 'sex_enc': 4.480325969911485,\n", + " 'sibsp_enc': 2.5251121628962787}" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.get_coef_by_predictor()" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", "text/plain": [ "
" ] @@ -1716,22 +2289,17 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 40, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'meta': 'logistic-regression',\n", - " 'predictors': ['fare_enc',\n", - " 'parch_enc',\n", - " 'age_enc',\n", - " 'class_enc',\n", - " 'sex_enc',\n", - " 'pclass_enc'],\n", - " '_eval_metrics_by_split': {'train': 0.8469551282051282,\n", - " 'selection': 0.8997477931904161,\n", - " 'validation': 0.8140900195694718},\n", + " 'predictors': ['fare_enc', 'age_enc', 'class_enc', 'sex_enc', 'sibsp_enc'],\n", + " '_eval_metrics_by_split': {'selection': 0.8443602693602693,\n", + " 'train': 0.8520888109845166,\n", + " 'validation': 0.8277080062794349},\n", " 'params': {'C': 1000000000.0,\n", " 'class_weight': None,\n", " 'dual': False,\n", @@ -1748,17 +2316,16 @@ " 'verbose': 0,\n", " 'warm_start': False},\n", " 'classes_': [0, 1],\n", - " 'coef_': [[0.17209928999041363,\n", - " 0.6121273655755664,\n", - " 4.439417790859315,\n", - " 2.256701549111471,\n", - " 4.621198868597589,\n", - " 2.256701549111471]],\n", - " 'intercept_': [-6.192793226125688],\n", + " 'coef_': [[0.7172923586423356,\n", + " 3.6439760175414073,\n", + " 4.0168034995188515,\n", + " 4.480325969911485,\n", + " 2.5251121628962787]],\n", + " 'intercept_': [-6.5940915541772],\n", " 'n_iter_': [5]}" ] }, - "execution_count": 32, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -1770,17 +2337,17 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 41, "metadata": {}, "outputs": [], "source": [ "if False:\n", - " ## To save the model as a JSON file, run the following snippet\n", + " # to save the model as a JSON file, run the following snippet\n", " model_path = os.path.join(\"output\", \"model.json\")\n", " with open(model_path, \"w\") as file:\n", " json.dump(model_dict, file)\n", "\n", - " ## To reload the model again from a JSON file, run the following snippet\n", + " # to reload the model again from a JSON file, run the following snippet\n", " with open(model_path, \"r\") as file:\n", " model_dict = json.load(file)\n", " model = LogisticRegressionModel()\n", @@ -1815,18 +2382,18 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 42, "metadata": {}, "outputs": [], "source": [ - "# get numpy array of True target labels and predicted scores:\n", - "y_true = basetable[basetable[\"split\"]==\"selection\"][target_col].values\n", - "y_pred = model.score_model(basetable[basetable[\"split\"]==\"selection\"])" + "# get numpy array of True target labels and predicted scores\n", + "y_true = basetable[basetable[\"split\"]==\"validation\"][target_col].values\n", + "y_pred = model.score_model(basetable[basetable[\"split\"]==\"validation\"])" ] }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 43, "metadata": {}, "outputs": [], "source": [ @@ -1836,23 +2403,23 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 44, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "accuracy 0.808989\n", - "AUC 0.899748\n", - "precision 0.701493\n", - "recall 0.770492\n", - "F1 0.734375\n", - "matthews_corrcoef 0.587335\n", - "lift at 0.05 2.920000\n", + "accuracy 0.759398\n", + "AUC 0.827708\n", + "precision 0.596154\n", + "recall 0.738095\n", + "F1 0.659574\n", + "matthews_corrcoef 0.483268\n", + "lift at 0.05 3.170000\n", "dtype: float64" ] }, - "execution_count": 36, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } @@ -1863,12 +2430,14 @@ }, { "cell_type": "code", - "execution_count": 37, - "metadata": {}, + "execution_count": 45, + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -1885,12 +2454,12 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 46, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -1905,12 +2474,12 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 47, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -1925,12 +2494,12 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 48, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -1945,14 +2514,14 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 49, "metadata": { "scrolled": true }, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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