diff --git a/cobra/evaluation/pigs_tables.py b/cobra/evaluation/pigs_tables.py index be8991e..40ae4f7 100644 --- a/cobra/evaluation/pigs_tables.py +++ b/cobra/evaluation/pigs_tables.py @@ -170,7 +170,7 @@ def plot_incidence(pig_tables: pd.DataFrame, ax.set_xlabel('{} bins' ''.format(variable), fontsize=16) ax.xaxis.set_tick_params(labelsize=14) plt.setp(ax.get_xticklabels(), - rotation=45, ha="right", rotation_mode="anchor") + rotation=90, ha="right", rotation_mode="anchor") ax.yaxis.set_tick_params(labelsize=14) if model_type == "classification": @@ -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) @@ -213,7 +211,7 @@ def plot_incidence(pig_tables: pd.DataFrame, # Set labels & ticks ax2.set_xlabel('{} bins' ''.format(variable), fontsize=16) - ax2.xaxis.set_tick_params(rotation=45, labelsize=14) + ax2.xaxis.set_tick_params(rotation=90, labelsize=14) ax2.yaxis.set_tick_params(labelsize=14) ax2.yaxis.set_major_formatter( @@ -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..4f363d4 100644 --- a/cobra/model_building/forward_selection.py +++ b/cobra/model_building/forward_selection.py @@ -1,5 +1,6 @@ import logging +from typing import Callable, Optional import pandas as pd from tqdm.auto import tqdm @@ -29,7 +30,7 @@ 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 +77,8 @@ 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"], + metric: Optional[Callable] = None, ) -> pd.DataFrame: """Compute for each model the performance for different sets (e.g. train-selection-validation) and return them along with a list of @@ -93,6 +94,13 @@ def compute_model_performances(self, data: pd.DataFrame, Name of the target column. splits : list, optional List of splits to compute performance on. + metric: Callable (function), optional + Function that computes an evaluation metric to evaluate the model's + performances, instead of the default metric (AUC for + classification, RMSE for regression). + The function should require y_true and y_pred arguments. + Metric functions from sklearn can be used, for example, see + https://scikit-learn.org/stable/modules/classes.html#module-sklearn.metrics. Returns ------- @@ -117,7 +125,8 @@ def compute_model_performances(self, data: pd.DataFrame, f"{split}_performance": model.evaluate( data[data["split"] == split], data[data["split"] == split][target_column_name], - split=split # parameter used for caching + split=split, # parameter used for caching + metric=metric ) for split in splits }) @@ -139,7 +148,9 @@ 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. The "train" split is used to + train a model, the "selection" split is used to evaluate + the actual forward feature selection. target_column_name : str Name of the target column. predictors : list @@ -178,12 +189,14 @@ 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 +221,11 @@ 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 +244,19 @@ 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 +292,19 @@ 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..68de3cd 100644 --- a/cobra/model_building/models.py +++ b/cobra/model_building/models.py @@ -1,5 +1,7 @@ # third party imports +from typing import Callable, Optional + import numpy as np import pandas as pd from scipy import stats @@ -83,12 +85,12 @@ 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] @@ -144,7 +146,8 @@ def score_model(self, X: pd.DataFrame) -> np.ndarray: return self.logit.predict_proba(X[self.predictors])[:, 1] def evaluate(self, X: pd.DataFrame, y: pd.Series, - split: str=None) -> float: + split: str=None, + metric: Optional[Callable]=None) -> float: """Evaluate the model on a given data set (X, y). The optional split parameter is to indicate that the data set belongs to (train, selection, validation), so that the computation on these sets @@ -157,19 +160,28 @@ 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"). + metric: Callable (function), optional + Function that computes an evaluation metric to evaluate the model's + performances, instead of the default metric (AUC). + The function should require y_true and y_pred arguments. + Metric functions from sklearn can be used, for example, see + https://scikit-learn.org/stable/modules/classes.html#module-sklearn.metrics. Returns ------- float - The performance score of the model (AUC). + The performance score of the model (AUC by default). """ if (split is None) or (split not in self._eval_metrics_by_split): y_pred = self.score_model(X) - performance = roc_auc_score(y_true=y, y_score=y_pred) + if metric is None: + performance = roc_auc_score(y_true=y, y_score=y_pred) + else: + performance = metric(y_true=y, y_pred=y_pred) if split is None: return performance @@ -249,12 +261,12 @@ 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 +284,7 @@ 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 +294,7 @@ 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 +308,37 @@ 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 ---------- @@ -357,7 +369,8 @@ def score_model(self, X: pd.DataFrame) -> np.ndarray: return self.linear.predict(X[self.predictors]) def evaluate(self, X: pd.DataFrame, y: pd.Series, - split: str=None) -> float: + split: str=None, + metric: Optional[Callable]=None) -> float: """Evaluate the model on a given data set (X, y). The optional split parameter is to indicate that the data set belongs to (train, selection, validation), so that the computation on these sets @@ -370,19 +383,27 @@ 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"). + metric: Callable (function), optional + Function that computes an evaluation metric to evaluate the model's + performances, instead of the default metric (RMSE). + The function should require y_true and y_pred arguments. + Metric functions from sklearn can be used, for example, see + https://scikit-learn.org/stable/modules/classes.html#module-sklearn.metrics. Returns ------- float - The performance score of the model (RMSE). + The performance score of the model (RMSE by default). """ if (split is None) or (split not in self._eval_metrics_by_split): y_pred = self.score_model(X) - - performance = sqrt(mean_squared_error(y_true=y, y_pred=y_pred)) + if metric is None: + performance = sqrt(mean_squared_error(y_true=y, y_pred=y_pred)) + else: + performance = metric(y_true=y, y_pred=y_pred) if split is None: return performance 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..9760450 100644 --- a/cobra/preprocessing/preprocessor.py +++ b/cobra/preprocessing/preprocessor.py @@ -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/tests/model_building/test_forward_selection.py b/tests/model_building/test_forward_selection.py index ef5fd17..e457038 100644 --- a/tests/model_building/test_forward_selection.py +++ b/tests/model_building/test_forward_selection.py @@ -77,7 +77,8 @@ def mock_evaluate(self, X, y, split): # on AUC scale, but gives the same for RM actual = (fw_selection .compute_model_performances(data, "target", - splits=["train", "selection"])) + splits=["train", "selection"], + metric=None)) expected = pd.DataFrame([ {"predictors": ["var1_enc"], diff --git a/tutorials/tutorial_Cobra_linear_regression.ipynb b/tutorials/tutorial_Cobra_linear_regression.ipynb index f9b3a14..5e32118 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']" + "['horsepower', 'displacement', 'weight', 'model_year', 'acceleration']" ] }, - "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": "522f5f24105e4d56b8627d66418cf299", "version_major": 2, "version_minor": 0 }, @@ -612,7 +640,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "af1c3b2f4b5e49848a4ed6053b22ec6f", + "model_id": "b701363215f6478896d748924c733ea4", "version_major": 2, "version_minor": 0 }, @@ -626,7 +654,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9aeb1d82ef8c49d2882562455dbe176e", + "model_id": "e3831e85b8014ef3b78de1735e77c4ed", "version_major": 2, "version_minor": 0 }, @@ -640,7 +668,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "1d02e1b9f4de4771af56114f36145021", + "model_id": "68bd7070dab846a1aa9341e62f74eb2e", "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": "5e66893a90f84ba0857c9ae9a8f2fa34", "version_major": 2, "version_minor": 0 }, @@ -689,7 +716,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "bd8f55edef42402da3f8edf1b6f68a60", + "model_id": "e6823188b212444590810de1954a60e5", "version_major": 2, "version_minor": 0 }, @@ -732,22 +759,22 @@ " name\n", " id\n", " split\n", - " acceleration_bin\n", - " displacement_bin\n", " horsepower_bin\n", + " displacement_bin\n", " weight_bin\n", " model_year_bin\n", + " acceleration_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", " horsepower_enc\n", + " displacement_enc\n", " weight_enc\n", " model_year_enc\n", + " acceleration_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", + " 113.0 - 145.0\n", + " 250.0 - 318.0\n", + " 3432.0 - 3883.0\n", " 70.0 - 71.0\n", + " 8.0 - 12.0\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", + " 18.769231\n", + " 16.793333\n", + " 17.129167\n", + " 19.057143\n", + " 16.185185\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", + " 162.0 - 230.0\n", + " 318.0 - 350.0\n", + " 3432.0 - 3883.0\n", " 70.0 - 71.0\n", + " 8.0 - 12.0\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", + " 13.612500\n", + " 15.035294\n", + " 17.129167\n", + " 19.057143\n", + " 16.185185\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", + " 145.0 - 162.0\n", + " 250.0 - 318.0\n", + " 3432.0 - 3883.0\n", " 70.0 - 71.0\n", + " 8.0 - 12.0\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", + " 14.380952\n", + " 16.793333\n", + " 17.129167\n", + " 19.057143\n", + " 16.185185\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", + " 145.0 - 162.0\n", + " 250.0 - 318.0\n", + " 3432.0 - 3883.0\n", " 70.0 - 71.0\n", + " 8.0 - 12.0\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", + " 14.380952\n", + " 16.793333\n", + " 17.129167\n", + " 19.057143\n", + " 16.185185\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", + " 113.0 - 145.0\n", + " 250.0 - 318.0\n", + " 3432.0 - 3883.0\n", " 70.0 - 71.0\n", + " 8.0 - 12.0\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", + " 18.769231\n", + " 16.793333\n", + " 17.129167\n", + " 19.057143\n", + " 16.185185\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", + " horsepower_bin displacement_bin weight_bin model_year_bin \\\n", + "0 113.0 - 145.0 250.0 - 318.0 3432.0 - 3883.0 70.0 - 71.0 \n", + "1 162.0 - 230.0 318.0 - 350.0 3432.0 - 3883.0 70.0 - 71.0 \n", + "2 145.0 - 162.0 250.0 - 318.0 3432.0 - 3883.0 70.0 - 71.0 \n", + "3 145.0 - 162.0 250.0 - 318.0 3432.0 - 3883.0 70.0 - 71.0 \n", + "4 113.0 - 145.0 250.0 - 318.0 3432.0 - 3883.0 70.0 - 71.0 \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", + " acceleration_bin origin_processed name_processed \\\n", + "0 8.0 - 12.0 usa chevrolet chevelle malibu \n", + "1 8.0 - 12.0 usa buick skylark 320 \n", + "2 8.0 - 12.0 usa plymouth satellite \n", + "3 8.0 - 12.0 usa amc rebel sst \n", + "4 8.0 - 12.0 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 horsepower_enc \\\n", + "0 8 20.35871 17.0 15.051515 18.769231 \n", + "1 8 20.35871 15.0 15.051515 13.612500 \n", + "2 8 20.35871 18.0 15.051515 14.380952 \n", + "3 8 20.35871 16.0 15.051515 14.380952 \n", + "4 8 20.35871 17.0 15.051515 18.769231 \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 " + " displacement_enc weight_enc model_year_enc acceleration_enc \n", + "0 16.793333 17.129167 19.057143 16.185185 \n", + "1 15.035294 17.129167 19.057143 16.185185 \n", + "2 16.793333 17.129167 19.057143 16.185185 \n", + "3 16.793333 17.129167 19.057143 16.185185 \n", + "4 16.793333 17.129167 19.057143 16.185185 " ] }, - "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", + "image/png": "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\n", "text/plain": [ "
" ] @@ -1159,8 +1186,8 @@ } ], "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)" ] }, { @@ -1190,7 +1217,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -1206,7 +1233,7 @@ " 'weight_bin']" ] }, - "execution_count": 22, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -1228,7 +1255,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -1244,12 +1271,12 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 26, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -1264,15 +1291,15 @@ " 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 +1311,32 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 27, "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 horsepower displacement \\\n", + "origin 1.000000 0.562702 0.550413 0.517409 0.654441 \n", + "name 0.562702 1.000000 0.798929 0.832600 0.835537 \n", + "cylinders 0.550413 0.798929 1.000000 0.812487 0.895527 \n", + "horsepower 0.517409 0.832600 0.812487 1.000000 0.879012 \n", + "displacement 0.654441 0.835537 0.895527 0.879012 1.000000 \n", + "weight 0.592037 0.854352 0.876777 0.878684 0.941594 \n", + "model_year 0.169058 0.591282 0.344348 0.397575 0.334152 \n", + "acceleration 0.292586 0.561621 0.640407 0.695982 0.586090 \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" + " weight model_year acceleration \n", + "origin 0.592037 0.169058 0.292586 \n", + "name 0.854352 0.591282 0.561621 \n", + "cylinders 0.876777 0.344348 0.640407 \n", + "horsepower 0.878684 0.397575 0.695982 \n", + "displacement 0.941594 0.334152 0.586090 \n", + "weight 1.000000 0.300008 0.550888 \n", + "model_year 0.300008 1.000000 0.347110 \n", + "acceleration 0.550888 0.347110 1.000000 \n" ] } ], @@ -1323,12 +1350,12 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 28, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -1353,23 +1380,23 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 29, "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": 29, "metadata": {}, "output_type": "execute_result" } @@ -1390,18 +1417,18 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Modeling" + "## Modelling" ] }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "022af5cc021143dea492e60f0108227f", + "model_id": "b0275ce22ca34325b512eeb4897bb7b8", "version_major": 2, "version_minor": 0 }, @@ -1444,74 +1471,47 @@ " \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", + " [weight_enc, model_year_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", + " [horsepower_enc, weight_enc, model_year_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", + " [horsepower_enc, origin_enc, weight_enc, model...\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 +1520,40 @@ ], "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 [weight_enc, model_year_enc, horsepower_enc] horsepower_enc \n", + "3 [horsepower_enc, weight_enc, model_year_enc, o... origin_enc \n", + "4 [horsepower_enc, origin_enc, weight_enc, model... 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": 30, "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 +1572,12 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 31, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -1610,23 +1600,23 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "['name_enc', 'model_year_enc', 'weight_enc']" + "['horsepower_enc', 'weight_enc', 'model_year_enc', 'origin_enc']" ] }, - "execution_count": 30, + "execution_count": 32, "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 +1624,35 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'horsepower_enc': 0.23995291830303586,\n", + " 'weight_enc': 0.6043307579612885,\n", + " 'model_year_enc': 0.5934134477782862,\n", + " 'origin_enc': 0.1525062273428473}" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.get_coef_by_predictor()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -1670,26 +1683,32 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 35, "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': ['horsepower_enc',\n", + " 'weight_enc',\n", + " 'model_year_enc',\n", + " 'origin_enc'],\n", + " '_eval_metrics_by_split': {'selection': 2.7377702963941557,\n", + " 'train': 2.859102895087039,\n", + " 'validation': 2.9373087153532134},\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_': [0.23995291830303586,\n", + " 0.6043307579612885,\n", + " 0.5934134477782862,\n", + " 0.1525062273428473],\n", + " 'intercept_': -13.893878727739835}" ] }, - "execution_count": 32, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -1701,17 +1720,17 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 36, "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 +1760,18 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 37, "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": 38, "metadata": {}, "outputs": [], "source": [ @@ -1762,20 +1781,20 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 39, "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": 39, "metadata": {}, "output_type": "execute_result" } @@ -1786,12 +1805,12 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 40, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -1806,18 +1825,18 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 41, "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 [-1.8528672099028296, -1.830647894988804, -1.7...\n", "dtype: object" ] }, - "execution_count": 38, + "execution_count": 41, "metadata": {}, "output_type": "execute_result" } @@ -1828,12 +1847,12 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 42, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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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..6c8c5ff 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": "91c63fcda38642a28ef3236391e42439", "version_major": 2, "version_minor": 0 }, @@ -663,7 +691,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9f7a241f920842789e9ba45c368ed269", + "model_id": "2e5c83d9fd3a443387dad1d925ed5e31", "version_major": 2, "version_minor": 0 }, @@ -677,7 +705,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "31e699dbfba8468fa9f44ca57b063854", + "model_id": "3665027f189142abaee280bcbbf333d1", "version_major": 2, "version_minor": 0 }, @@ -691,7 +719,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f536123c13d84aaf90a6f1b52419c21a", + "model_id": "f6f926b4dd7e4f5a9bdcc084d0796c3f", "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": "33fd483a79c046d68263460057db5157", "version_major": 2, "version_minor": 0 }, @@ -739,7 +767,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "989caf81c993416d8a4fd5ebeef32e9c", + "model_id": "b40b93ebded14fc8a8b2a5838fa4914a", "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": "iVBORw0KGgoAAAANSUhEUgAAAy4AAAJhCAYAAACnyuSmAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAAD9DElEQVR4nOzdd3xUVfrH8c+kdxJISKUGEnqvShFQFLGB6KortrWsbZX1p4K9YVfsu5Z1rSuKYhcboIL03ntLIAmQRnqd3x8nycwkk5BAyKR836/XvJhb5s6ZkNy5zz3neY7FarVaERERERERacTcXN0AERERERGR41HgIiIiIiIijZ4CFxERERERafQUuIiIiIiISKOnwEVERERERBo9BS4iItKkqBimiEjLpMBFRJqE+Ph44uPjSUxMbJD3S0xMJD4+nrPOOqvWr+nRowfx8fGnsFVN04n8LJ3JysriiSee4JtvvqmnlomISFOiwEVERJqEZ599lg8//JCSkhJXN0VERFzAw9UNEBFpjMLDw/nhhx/w8vJydVOkTGlpqaubICIiLqTARUTECU9PT2JjY13dDBERESmjoWIi0mTNnTuX+Ph4PvroI1atWsU111zDwIED6d+/P9dccw0rV650+ro9e/bwwAMPMGbMGPr06cPZZ5/NzJkzSUtLq9inpryMP/74g6lTpzJo0CCGDh3KjBkzSE1NrbadmZmZPPfcc4wfP57evXszbNgw/vGPf7Bt27Yq+06dOpX4+HiysrJ45513mDBhAr1792bkyJE8+uijDm20N2/ePK666iqGDh3KoEGDuOSSS/jqq6+c9lJ8++23XHHFFQwYMIB+/foxZcoU5syZU+uk9+XLlxMfH8/MmTPZtGkTU6dOpX///px++ulMmzaN3bt31+o4ADt37uTuu+9mxIgR9OrVi5EjR3LPPfdUOUZ8fDyff/45ADNmzCA+Pp7ly5fX+n3qavHixdx6660V7RowYABTpkzho48+cvozPXjwIPfffz9nnHEGffr0YdKkSXz33Xd8/fXXxMfHM3fuXIf9i4uL+fjjj5k8eTL9+/dnwIABXHnllfz888+n7DOJiDR16nERkSZv8eLFPPnkk0RFRTF8+HD27NnD0qVLWbVqFR999BH9+vWr2HfJkiXceuut5ObmEh8fT+/evdm+fTsffPABCxcu5LPPPqN169bVvtcnn3zCo48+ipubG0OGDMHHx4cff/yRdevWOb3wP3ToEFdddRUJCQlER0czatQoUlNT+fnnn1m4cCGvvPIKY8aMqfK66dOns2DBAvr160fnzp1ZtmwZ//vf/1i7di1ffPEF7u7uFfs+9NBDfPrpp3h5eTFkyBA8PT1Zvnw59957L5s2beKBBx6o2Pf+++/n888/x8/Pjz59+uDr68vKlSt54IEHWL58Oc899xwWi6VWP/cdO3YwdepUfH19GTlyJPv27eOHH35g0aJFvPvuu/Tp06fG1//6669MmzaNwsJCunXrxsCBA9m7dy9ff/01P//8M6+88gqjRo0C4Pzzz2f9+vUcOHCA/v37ExMTQ2hoaK3aWVdvv/02zz//PJ6engwaNIigoCASExPZuHEjGzduJCEhgRkzZlTsv3v3bq666iqOHj1KbGwsffr0YevWrdx111307du3yvGLioq4+eabWbRoEa1atWLgwIFYrVZWrlzJ7bffzt///nemTZt2Sj6biEiTZhURaQLi4uKscXFx1oSEhIp1X3zxRcX6F1980VpcXGy1Wq3W0tJS6913322Ni4uz3nnnnRX7Z2dnW0eMGGGNi4uzzpkzp2J9cXGx9b777rPGxcVZH3roIavVarUmJCRY4+LirGeeeWbFfocOHbL26dPH2rdvX+vq1asr1iclJVnHjx9f0RZ7l19+uTUuLs763HPPVbTParVaFy9ebO3du7d14MCB1qNHj1asv/LKK61xcXHWgQMHWtetW1exPjk52Tp8+HBrXFyc9ffff69Y/9NPP1nj4uKsY8eOtR44cMChTaNGjbLGxcVVHOezzz6zxsXFWS+88ELroUOHKvZNTU21XnLJJda4uDjr7Nmzj/t/sWzZsorPeuWVV1qzsrIqtr366qvWuLg46/nnn28tKSmp9meZkpJi7du3r7Vbt27Wr776yuH4c+bMscbHx1sHDhxoPXLkSMX68v+jL7744rhtPFHJycnWnj17WocOHWrdv3+/w7byn3Xfvn2thYWFFeuvuOIKa1xcnHXWrFnW0tJSq9Vqfqcef/zxip+TfZtnzZpljYuLs1577bXW9PT0ivUJCQnWM8880xoXF2ddtGjRKfuMIiJNlYaKiUiTFxkZyR133FHRC2GxWLjiiisA2LVrV8V+8+fP5/Dhw5x99tlMmTKlYr27uzv33HMP7du359ixY9W+z5dffkl+fj5XXXUVAwYMqFgfERHB/fffX2X/devWsXr1anr27Mldd93l0Ety+umn89e//pWsrKyKIVD2/vrXvzrcrQ8PD+fMM8+s8pk++eQTAB544AHatWvn0KZbb72VuLg49u7dC8B//vMfAJ5++mkiIyMr9m3dujUzZ84E4N13363281fm6enJ888/T0BAQMW6W2+9lR49erB9+3bWrFlT7Ws/++wz8vLyuOSSS7jwwgsdtk2ZMoVJkyaRlZXFp59+Wuv21IfU1FTOOussbrvtNtq3b++wbfz48YSEhJCXl0d6ejoAW7ZsYdWqVfTo0YM77rijorfK3d2dGTNm0KlTJ4djFBYW8tFHH+Ht7c2zzz5LcHBwxbaYmJiK36P//ve/p/BTiog0TQpcRKTJ6927N25ujqez8mFEubm5FetWrFgB4HRoVqtWrfjll1+YNWtWte9TnjNTPnzJ3umnn46Pj4/DuvIcjCFDhjgdfjVy5EiHdtlzNsQoLCwMsH0ma9nwIk9PT0aMGFFl/0svvZRvv/2Wiy66iMOHD7N3716Cg4Pp1q1blX27du1KeHg4+/bt48iRI1W2OzNo0CDCw8Md1lksFsaOHQtQbY6R/bYJEyY43X7uuece9xinQo8ePZg1axZXXnllxbqioiJ27drFF198UVGKuaioCDBDDwHGjRtX5f/Y3d29So7U5s2bycrKokuXLk6Hug0fPhwPDw9Wr16tss8iIpUox0VEmrzAwMAq6zw8zOnNapd3Un5BHhERcULvc/jwYYAqF+tgLlIjIiLYt29fxbqkpCTA3D2v6Q56cnJylXVBQUFO3wNsnyk9PZ2ioiIiIyPx9PSsse3l75GRkXHcSTKTkpIqgqSaVO6RKFf+8y3/eTlTvi06Otrp9piYGACOHj163HY4s2rVKmbPnl1l/eDBg/nLX/5S42uLi4v5/vvvmTdvHjt37iQpKakiiCgPTsr/D8r/j+17sOxV/nzl+2/evLnG/4fi4mIyMzNrzLcSEWlpFLiISJNX22Ty4uLiU/o+5cFSufLqU/369XMYxlXZiV6c1uWOfPm+bdq04bTTTqtxX39//1od037oW123W49Twaz8Z3ei8+gcOHCAb7/9tsp6Dw+PGgOX3Nxcpk6dyqZNm/Dz86NXr16cccYZxMXFMWTIEG644QYSEhIq9i/vealujpnKn7N8v5iYGPr371/nzyUi0pIpcBGRFqO8FyElJcXp9u+//x5PT0+nQ8HA9LTs3LmTgwcPOg1EKg+xKn+/0aNHc8stt5xM051q1aoVnp6eHD16lOLi4iqBU3p6Oj/99BPx8fEVbfH39+f555+vl/ev7ud48OBBoOaerbZt27J3714SExOd9tyUBwdt2rQ5obZNnjyZyZMn1/l17777Lps2bWLUqFHMmjXLIX8HICsry2G5/DOW96RUVrk3rfz/oV27dvX2/yAi0lIox0VEWozyhPo//vijyrb8/Hzuv/9+7r///mp7CoYPHw6YMr6VrVu3jszMTId1gwYNqng/Zz0Ms2fP5rzzzuP111+v2wcp4+XlRa9evSgqKmLp0qVVtv/22288/PDDfPPNN8TExBAZGUliYqLTeVZSU1M5++yzueaaa8jJyanV+69cuZK8vDyHdVarlQULFgA4zbspN3jwYAB+/PFHp9vnzZsHmPygcrXtWTsZ69evB+Cqq66qErRs2rSJjIwMwNaTMnToUMD8rCuzWq0sXLjQYV3v3r3x8fFh48aNTufk2b59O2eddRa33357refVERFpKRS4iEiLce655xIcHMy8efMqLozBDCGbOXMmeXl5TJgwodp8kUmTJhEUFMTs2bP5/fffK9anpaXx8MMPV9l/2LBhdOvWjbVr1zJr1iyHoWpbtmxh1qxZ7Ny587g5JzX561//CsDMmTMdekCSk5N55ZVXsFgsnH/++QBcffXVlJaWcvfdd3Po0KGKffPy8pgxYwb79u3D39+/1kPFjh07xqOPPlrxuaxWKy+//DLbt29nyJAhTosAlLv00kvx8/Njzpw5fPPNNw7bvvjiC77++msCAwO54IILKtZ7e3sDVXs96lN5rkrlgGPPnj3cfffdFcsFBQUADBw4kJ49e7J582beeOONiu1Wq5VXX32V7du3A7agy8/Pj0suuYTs7GzuueeeiupkYHrIZsyYwYEDB4iMjGyQQE1EpCnRUDERaTECAgJ47rnnuO2227jzzjv5z3/+Q1RUFFu2bCEhIYHOnTtzzz33VPv6Nm3aMHPmTP75z39y0003MWjQIIKDg1m+fDmBgYGEhoY6JJNbLBZefPFFrr76at58802+/vprevToQXZ2NqtWraK0tJSpU6dWlDk+Eeeffz5Llixh7ty5nHPOOQwZMoSSkhJWr15Nbm4uf//73yt6mq6++mrWrl3LTz/9xLnnnkvv3r0JCAhg3bp1pKWl0bFjRx599NFav3doaCjfffcdK1eupFevXuzatYtdu3YRFRVVUV65OuHh4TzzzDP885//5O677+bdd9+lQ4cO7Nu3j23btuHn58dzzz3nUAihQ4cOALz++uusXr2aq6++moEDB57AT616V1xxBXPnzuXjjz9mxYoVdO7cmSNHjrBu3To8PT2JiYkhMTGRI0eO0KVLFwCeeuoprrzySl5++WV++OEHYmNj2blzJ7t376Zdu3YkJCQ4DOO766672Lx5M4sWLeKss86iT58+eHh4sGrVKnJycujfvz933nlnvX4uEZHmQD0uItKijBo1ijlz5nDuuedy6NAh5s+fT0lJCVdddRWffPJJleFBlY0fP56PPvqIUaNGsWPHDpYuXcrQoUP56KOP8PPzq7J/bGwsX331Fddccw3e3t4sXryY3bt3M2jQIF555RWn87/U1ZNPPsnTTz9NfHw8K1asYMWKFcTGxvLMM884zMDu5ubGSy+9xJNPPkn37t3ZvHkzy5YtIzQ0lJtvvpnPPvusTrPRd+3alXfffZewsDAWLlxITk4OU6dOZc6cOdVWHLM3fvx4Pv/8c8477zyOHDnC/PnzycrK4pJLLmHu3LlVylZfeumlXHDBBRQXF7No0SJ27txZ+x9SLXXr1o2PPvqIESNGkJqayoIFC0hKSuL8889n7ty5TJ06FXDskYmPj+fzzz9n4sSJHD16lAULFuDj48Orr77KuHHjAMfKd76+vrz//vvMmDGD9u3bs2bNGlavXk2HDh249957+e9//+v0d0lEpKWzWDWIVkRE6mD58uVcddVVDB8+nPfee8/VzXGpY8eOkZSURHR0tNOg9+abb2bBggUVPTEiInLi1OMiIiJygo4cOcIFF1zAxRdfXCX35o8//uD3338nNjZWQYuISD1QjouIiMgJio2NZcyYMSxcuJAzzjiDAQMG4OvrS2JiIps3byYgIICnnnrK1c0UEWkWFLiIiIichFdeeaWiEtrGjRvJycmhbdu2/OUvf+GGG26ocfJRERGpPeW4iIiIiIhIo6ccFxERERERafQUuIiIiIiISKOnwEVERERERBo9BS4iIiIiItLoKXAREREREZFGT4GLiIiIiIg0egpcRERERESk0VPgIiIiIiIijZ4CFxERERERafQUuIiIiIiISKOnwEVERERERBo9BS4iIiIiItLoKXAREREREZFGT4GLiIiIiIg0egpcRERERESk0VPgIiIiIiIijZ4CFxERERERafQUuIiIiIiISKOnwEVERERERBo9BS4iIiIiItLoKXAREREREZFGT4GLiIiIiIg0egpcRERERESk0VPgIiIiIiIijZ4CFxERERERafQUuIiIiIiISKOnwEVERERERBo9BS4iIiIiItLoKXAREREREZFGT4GLiIiIiIg0egpcRERERESk0VPgIiIiIiIijZ4CFxERERERafQUuIiIiIiISKOnwEVERERERBo9BS4iIiIiItLoKXA5RXYXwC0HIGgtuK02/95ywKw/FRITE4mPj2f//v0ndZzly5cTHx9PcXGx0+2zZs1i6tSpJ/UejUFqaio//PCDq5vh1Ny5cxk1alS126dPn87//d//NWCLRJq/qVOnMmvWrJM+ztixY5kzZ47Tbfv37yc+Pp7ExMSTfh9XslqtfPLJJ5SWlrq6KdICHe9653jfoSdK372Ng4erG9AczcuEKXugqBSKytZllcI7R+D9VPi8M0xoVb/vGRkZyeLFi2nduvVJHad///4sXrwYD4/m/avx/PPPU1RUxLnnnuvqptTZ/fff7+omiDQ7r776Kp6enid9nM8//xw/P796aFHjtXLlSh555BEuueQS3Nx0/1Mal3PPPZczzjij3o+r797GoXlfnbrA7gITtOQ6uRFVhAlmpuyBDT0g1rv+3tfd3Z2wsLCTPo6Xl1e9HKexs1qtrm7CCQsMDHR1E0SaneDg4Ho5zsnePGoKmvL5U6pntVpZsXIV23fs5NixrAZ976CgQOLjujJk8CAsFstJHcvHxwcfH596apmNvnsbB90qqWcvpJjgpCZFpTArpX7ft3LXaXx8PF999RXnn38+vXv35rLLLuPAgQMV+2/ZsoUrr7ySvn37Mm7cOD7//HOg6lCxXbt2cfnll9O3b1+uvfZaMjIyHN531apVTJkyhT59+jBx4kS++uqrim3Tp0/niSee4J///Cf9+vVj1KhRzJ07t2J7Xl4ejz32GMOGDWPw4MHcc889ZGdnA1BYWMjMmTMZNmwYQ4cO5Y477uDo0aNOP/vy5csZNWoUjz32GAMHDuTVV1+lqKiIZ555hlGjRtGzZ0/GjBnD//73P8DcWf3yyy/59ttvGTt2LABZWVnce++9DBw4kNNPP50HH3ywoi2VzZ07l0svvZRZs2YxYMAARo8ezezZsx32+fTTTxk3bhz9+/fn8ssvZ8OGDRXbxo4dy7PPPsuIESM499xzaxyWN3DgQEaMGMF7773n8HMt765+9dVXmTZtWsVnHzZsGG+++abT40nT4B578Qk9Bl9wd7XHHHzB3dW+rq7Wrl3LFVdcQd++fenXrx9/+9vfSElJobS0lJEjR/LZZ5857H/uuefy0UcfAcc/X9x7771cdNFFDB06lO3bt7N7926uv/56+vfvT+/evbn88svZuXNnxWs2bdrEpZdeSp8+fbjssst4+eWXHYay1vR+ldkPFTuZc5f9ULGioiIee+wxBg0axOjRo1m0aJHDe9Z03ik/r3366aeMGjWKfv36cdddd5Gfn1/x+u+//56JEyfSt29fpkyZwtq1ayu2/frrrxXbJk2axB9//FHtZ3d2Tlq4cCGTJk2id+/eDBw4kDvvvJPs7GwSExO56qqrAOjZsyfLly8Haj7nSdOwYuUqVq5a0+BBC8CxY1msXLWGFStX1fo1P//8M6NHj2bAgAE88MADFBSYsfj2Q8Vq83dkLykpieuvv54BAwYwZMgQZsyYQU5ODuD43Tt27Fji4+OrPMrp7+HUUeBSSy+kQOBasKyu+fGvI7bhYdUpAl4/cvxjBa4173uiXnvtNe677z6++OILMjMzefHFFwFIS0vjmmuuoXPnznz55ZdMmzaNRx55hFWrHE8YhYWF3HjjjcTExDB37lzOPPNMh7HbR44c4cYbb+T888/n22+/5dZbb+WJJ55gwYIFFfvMnj2b7t278+2333L22WfzyCOPVAQ/Dz30EEuXLuW1117jww8/ZOfOnTz99NMAvPjii6xbt44333yTDz/8EKvVyk033VTtnb6UlBSys7P58ssvmTRpEm+//TYLFizglVde4ccff2TSpEnMnDmTlJQUrrvuOiZMmMDZZ59dEbDdd999pKen8/HHH/Pmm2+yd+9eZsyYUe3PdsuWLWzatInZs2fzj3/8gyeeeILff/8dgAULFvDyyy8zY8YMvvzyS0aNGsXVV1/N4cOHK17/zTff8M477/DCCy84HZaXkpLCtm3bmD17NnfddRfPP/88S5YscdqWX375BXd3d+bOncv111/Piy++yK5du6ptu8iJys7O5qabbuK0007ju+++4z//+Q+JiYn861//ws3NjQkTJvDzzz9X7L9jxw727dvHOeecU6vzxTfffMOtt97K22+/TZcuXbjllluIiori66+/Zvbs2ZSWlvLss88C5qL/+uuvp3v37nz55Zecd955vPXWWxXHqs371eREz132Xn31VX777Tf+9a9/8dJLL/Hhhx86bD/eeac8F+/tt9/m1Vdf5ddff60IoJYuXco999zDFVdcwTfffMPQoUO56aabyM7OZtu2bdx9993ccMMNfPvtt1x66aXcdtttbN26tdrPa39OSkpK4vbbb+eyyy5j3rx5vPzyyyxbtoxPPvmEyMhIXn31VQD++OMP+vfvX6tznjR+23fsPP5OjagNc+bM4cUXX+Tf//43ixcv5o033nC6X01/R5U99thjeHh48MUXX/Duu++ydu1a/v3vf1fZ7/PPP2fx4sUsXryYX375hejoaK677jqgdtcAcuI0VKyWXkiB7AbOQ8wuNe97V/iJvf7qq69m+PDhAFx++eW8//77AMybNw9/f38efvhh3N3d6dy5MxkZGVUSLZcsWUJ6ejqPPPII/v7+xMbGsnz5ctLT0wH4+OOPGTp0KFdffTUAHTp0YM+ePbz//vsVPRlxcXHccMMNANxxxx188MEH7Ny5k27dulWcSAYNGgTAo48+yooVK8jLy+Ojjz7is88+o0ePHgA8++yzDB06lNWrV1fsX9n1119P+/btK9535syZ9OvXD4C///3vvP766+zdu5dhw4bh4+NDcXExrVu35sCBA/zyyy8sW7asYrjIM888w9ixY0lKSiIyMtLp+z3zzDOEhoYSFxfHihUr+PTTTxk9ejTvvPMON954I2eeeSYAN998M0uWLGHOnDnceuutAJx//vl069at2v87T09PnnrqKVq3bk3Xrl1ZsWIFs2fP5rTTTquyb2BgINOnT8fd3Z3rr7+et99+m02bNtGlS5dqjy9yIvLy8rjpppu47rrrsFgstGvXjvHjx1fc6Z84cSJ//etfycrKIjAwkB9//JEhQ4YQGhrKSy+9dNzzRffu3TnrrLMAyM3N5ZJLLuHyyy/H398fgEmTJlX0KP7www/4+Pjw4IMP4uHhQWxsLGvWrOHIkSNA7c5PNTmRc5c9q9XKnDlzuPvuuxk8eDBg7tj+/e9/BzjueQeguLiY++67r+Ju7siRI9m4cSMAn3zyCRMmTOCvf/0rAHfddRdWq5Vjx47xn//8h4svvpiLLroIgPbt27NhwwY+/PBDnnzySaef1/6ctG/fPu6//37+8pe/ABATE8Npp53Grl27cHd3p1Urk6TZpk0bPDw8anXOE6lv06dPZ+DAgYD5G3366aeZNm1alf1q+juq7ODBg8THxxMdHY2Xlxevvfaa06Fr9kNC//nPf9K2bVvuuusuAP09nGIKXGrprnB45FDDBi8BbicetAAVF/EAAQEBDsO/unXrhru7e8X2K6+8EqCi2798v3bt2lVcNAD06tWrYrjDnj17WLRoEf3796/YXh4MlGvXrp1DG8r32bt3L8XFxfTs2bNie58+fejTpw87duygqKio4gu5XEFBAXv37q02cImOjq54fuaZZ/Lnn3/y9NNPs2fPHrZs2QLgtArO7t27sVqtjBkzpsq2ffv2OQ1c2rVrR2hoqMPPpXw4zO7du3nxxRd5+eWXK7YXFhYSERHhtK3OxMTEOPwce/ToUWU4mv2x7P8v/f39KSo6Xr+fSN2FhYUxadIk3nvvPbZu3cquXbvYvn07ffr0AaBv375ERESwYMECLrzwQn788UeuvfZaoHbni5iYmIrnfn5+XH755Xz99dds2rSp4u+4/CJ/+/btdO/e3aHHsl+/fvzyyy+1fr+anMi5y156ejppaWkONyh69epV8fx4553ypPfqzuO7d+/mkksuqdjm5ubGPffcU7Ftx44dfPHFFxXbi4qKqrTRnv05qWPHjnh5efGvf/2LnTt3snPnTnbt2sXEiROdvrY25zxp/OLjurJy1RqXt6G2evfuXfG8R48eZGRkkJaW5nTf6v6OKrvxxhuZPn068+fPZ8SIEYwfP77GIj4ffPABS5Ys4auvvqo4F+nv4dRS4FJLd4XXLoi45YCpHlbTZaMncGMYvNa+hp3qQeUKOeXDrOpSOafy0Cz7i4Ti4mImTpzILbfc4rCPfZUZZ+9ltVrx8vKq9j1LSkoA+PDDD6skw9V00eHtbat2MGvWLD799FMuvvhiLrzwQh5++OFq77KWlJTg5+fndPx7dYUKKg/vKikpqfjcJSUl3HvvvYwYMcJhH/tKQ/ZtdaZypZ7S0tJq/9/qoxKSNB4lu784/k51tPKb5+rlOCkpKVx88cV0796dESNGcOmll/Lbb7+xevXqin3OPfdcfv75Z3r06MGBAwcYP348ULvzhf15IScnhylTptCqVSvOPPNMzjvvPPbs2VMxHMzd3b3K+cl+uTbvV5MTOXc5Y98m+/PG8c475XeET+Q8XlJSwt/+9jcmT57ssL6mttufk7Zt28bll1/OmDFjGDhwINdcc01Fj31173e8c540fkMGm5uCrk7Ory37v+Xj/V1U93dU2Xnnncdpp53Gr7/+yh9//MGMGTNYvHix06Gga9as4bnnnuONN95wCEr093BqKXCpZ3eFm5LHNSXoe7rBtJPoSTlZHTp04Ndff6W0tLTiD3/GjBlEREQwbNiwiv26du3KgQMHyMzMrBgaUN5zAdCpUydWr15Nhw4dKtZ9/PHHHD582Gl3rb2YmBjc3d3ZsmVLxXC2JUuW8Oijj/L555/j7u5Oenp6xR3KrKws7r77bu68884ah1iVmz17Ng8++CDnnXceQEXOR/nJyr7rt1OnTuTm5lJSUkLnzp0BM9/CU089xWOPPeb0ZJOQkEB2dnbFndhNmzZVJOZ16tSJ5ORkh5/Lww8/zJAhQ6q9Y1lZYmIiOTk5Fb1dGzZsIDY2tlavFTlVfvnlF/z9/Xn77bcr1pXnoJWbOHEil112GXFxcZx++ukV5466ni9WrFhBcnIy33zzTcVFx+LFiyveq2vXrvz666+UlJRU9Dhu3ry54vUnc36qSU3nrnnz5lXsFxISQmhoKBs3bqzonbHPMTneeed4OnTo4HA+tlqtTJw4kenTp9OpUycSEhIcPvsrr7xCcHBwRWJ9Tb7++msGDBhQkRdZ3rby41UeOlMf5zxxPYvFwtAhgxk6ZLCrm1IrO3bsqPgb3LBhA2FhYSdd+WvWrFmcffbZXHrppVx66aV8/fXXPPjgg1UCl6NHj3LHHXfwt7/9jZEjRzps09/DqaXk/HoW623mafFzMz0r9jwx6z/vXL+lkOvqggsuICcnhyeffJK9e/fy7bff8t1331X54zvttNOIiorivvvuY9euXXz++ef89NNPFduvuOIKtmzZwgsvvMC+ffv48ccfee655wgPP35UFhAQwOTJk3nyySdZt24dW7Zs4bnnnmPYsGEEBgZyySWX8Pjjj7N06VJ2797Nvffey44dO+jYsWOtPmNwcDALFy4kISGBVatWVQyhKCwsBMydj0OHDpGSkkJsbCwjR47knnvuYf369Wzbto17772X1NRU2rZt6/T4eXl5PPTQQ+zevZvPPvuMH3/8sWJo27XXXsuHH37Il19+yYEDB3jttdf44osvKi5OaqOoqIjp06ezY8cOZs+ezU8//cQ111xT69eLnArBwcEcPnyYP//8k4SEBN566y1+/vnnir8rMBUNo6KieO+99xyGWNT1fBEcHExeXh6//PILiYmJzJkzh48//rjivSZOnEhubi5PPvkke/bsYc6cOQ6Typ7M+akmNZ277O8AWywWrrjiCl577TX+/PNPNmzY4HDxcyLnHXtXXXUVP/zwA3PmzGH//v08//zzZGZm0r9/f6655hp+/PFH3nvvPfbv388nn3zCv//9b4cLqZoEBwezY8cO1q9fz759+3j66afZuHFjxRDU8ps5W7ZsoaCgoF7OeSJ19cQTT7Bu3TqWLFnCK6+8UpEcfzL27NnDY489xpYtW9izZw8///yzw7BQMD0q06ZNo2PHjkydOpUjR45UPAoLC/X3cIqpx+UUmNDKzNMyKwU+TDV5MQFuMLWN6WlxZdACJpn7rbfeYubMmXz66adERUXx5JNPMmDAAIccF09PT9566y0eeOABJk+eTLdu3SouBsCMiX7zzTd5/vnn+e9//0tYWBi33347V1xxRa3aMWPGDGbOnMn111+Pu7s748eP59577wVM0t2zzz7LtGnTKCgoYMCAAfznP/+pdW32J598kkceeYSJEyfStm1bLr30Ujw9PdmyZQtjxozhwgsv5KeffuKCCy5g2bJlPPvss8ycObMi6fi0007jwQcfrPb4bdu2JTo6milTphAWFsazzz5bkYB77rnnkpqaymuvvcbhw4fp3Lkzr7/+Ot27d69V28EkKUdFRfGXv/yF4OBgnnzySYfxvCKuMGHCBFauXMmdd94JmDHmM2bMYNasWeTn51f8fU6cOJE333yTcePGVby2rueL/v37c9ttt/H4449TUFBAXFwcDz/8MDNmzODQoUNERUXx73//m0cffZRPP/2U3r17c/7551dU7jnZ81NNajp32bv55pvJz8/nn//8J+7u7tx6660OvSl1Pe/YGzhwII8//jivv/46jz/+OD169ODNN98kMDCQfv368fzzz/Paa6/x/PPPEx0dzZNPPsno0aNrdeypU6eyZcsWrr32Wry8vBg8eDC33XYbX3/9NWAKF4wYMYIrrriCF198sV7OeSJ1deWVV3LrrbdSWFjIJZdcUi839x555BEee+wxrrnmGgoLCxk2bBgvvPCCwz5JSUkVxTgqF8z54IMP9PdwilmsmklKpE7mzp3LSy+9VOO8CCJyaiUkJJCSkuJQrOPRRx8lLy/P6Xh0ERFp+jRUTEREmpzs7OyKIVEHDx7k559/5uuvv+acc85xddNEROQU0VAxERFpcrp3787DDz/Miy++SFJSElFRUcyYMYMzzjjD1U0TEZFTREPFRERERESk0dNQMRERERERafQUuIiIiIiISKOnwEVERERERBq9Bg9ciqzwzwQIXQdt1sHN+6GgbJb5m/aDZbXj46WU6o/1WRp02QR+a+DCXXC4yLbtz2yI3Qhh6+HtI46vuyvBzG4vIiIiIiJNQ4Mn59+ZAF9lwMedwAJcsReubA1PRMOIbXBRMFzZxrZ/kLuZbb6ylTkwajv8qz0M8IM7EsDbDX7sarb33wJ/aQ2D/eC8XZDQB0I9ILkIztkJq7uDu6UBPrCIiIiIiJy0Bi2HnFEM/zoC33WB0wPMukci4dN083xrPjzhDxGexz/Wq4fh4hC4JtQsf9AJ2m+EXfnQxQe25cPkYIjzgWB32FNgApenkuH/whW0iIiIiIg0JQ06VGxxtuk9OTPQtu6aUJjX1fSEpJVAvE/tjrUsB0YF2JbbeUEHL1iaY5bbe8GaXNhfAOklEOMJBwvh9yy4vHX9fSYRERERETn1GjRw2V1ggotP0qHnZuiwEf4vEQpLYUue6f558CBEb4C+W+C9o9UfK6kIoir1zIR7QGKhef50NFy3D2I3wT0REOUFTyab5+ptERERERFpWhp0qFhWKewtMMO83uwAWSVw8wEotkJXb7NPXz/4R1v4LRtuOgD+7nBJSNVj5ZaanBZ73m5QUJaxMykEUluZxP9gD0goNAn7r7aD+w7CR6lwWgC829F5Do2IiIiIiDQeDRq4eFjgWCl81AliywKV52Ng6l7I7m+GcLUua1EfP9iZb3JinAUuPm62amTlCkodgxBfN/MAmJkE0yNgeQ58kgabe8K1+0wQdW9EvX9UERERERGpRw3a1xDlaSKl8qAFTE5LvhWOFtuClnLdfUxeijPRnpBc7LguuRginST27y8wAculISYHZqg/BLrDmUEmV0ZERERERBq3Bg1chvtDMbAxz7ZuSx4EusGzyaZssb21edCtmmT9Yf4m2b9cQiEcKDTrK3s8CWZEgJvFlGAu76gptkLDFoMWEREREZET0aCBS1cfuLCVGaK1OgcWZcH0g3BDKJwfDPMy4ZXDJon/tcPwQSrcXTaMq7DUVB4rKQs0bg6D/6WZySU35sHV+2BCkHkPe3sKTHWx8uFmg/xMZbH1ufBlhul9ERERERGRxq3BJ6DMKjGTRX6RbnJerm5jKoB5ucFnafBYEuwqgM7e8EQUTC4LOH7LgjE7YG8v6Fg21Oz9VHjoEKQWw1lB8FZ7CKs0VOzafTCxFUyxy5O5MwH+exRGB8L/OkGAe4N8dBEREREROUENHriIiIiIiIjUlQoBi4iIiIhIo6fARUREREREGj0FLiIiIiIi0ugpcBERERERkUZPgYuIiIiIiDR6ClxERERERKTRU+AiIiIiIiKNngIXERERERFp9BS4iIiIiIhIo6fARUREREREGj0FLiIiIiIi0ugpcGnGdhfALQcgaC24rTb/3nLArBcRERERaUosVqvV6upGSP2blwlT9kBRKRTZrfcEPN3g884woZWrWiciIiIiUjcKXJqh3QXQZwvklla/j58bbOgBsd4N1y4RERERkRPl4eoGSP17IcX0tNSkqBRmpcBr7RumTSIiItJyvPbGm65uQp3ddstNrm7CcWVmZrJo8RKSkpPx8PCka5dYhg0djIeHBwt/+4PNW7Y67D/i9OH069vH6bF27trNsmUryMnNpV1MNGPOGI2fny8ASUnJ/DJ/IYWFhQwfNoSePbpXvG7xn0tp06Y13bvFn7oPWg0FLs3QR6mOw8OcKQI+TFXgIiIiItIUlJSU8N0PP9I6JISLJ11EXl4e8xf+DpgAJS0tndOGDyM+vmvFa7w8PZ0eKyXlML/OX8gZo0cSFhrKosVL+HX+Ai44fyIAvy9aTM8e3WjbNozvvv+Rzp064uvrS05uLomJBzlt+NBT/4GdUHJ+M5R9nN6Wuu4nIiIiIq6VcvgwmZnHGDduDK1bhxAdHcXQIYPYsWMnAGnp6bRtG4a/n1/Fw7OawGXDxk3Edu5E927xhIa24cxxYziQkEhGZiYA6ekZdO7ciXYxMXh7e3PsWBYAq1evpX+/Pri5uSaEUODSDAXU8n+1tvuJiIiIiGuFBAdz/sQJDr0oFouFgsJCcnJzKSgoICS4dpWXklMOExUVWbEcGBhAYGAAyckpFctHjhzlWFYWBQUF+Af4k52dw6FDSXTt2qV+P1gdaKhYM3RlG3jnSM3DxTyBqW0aqkUiIiIicjJ8fX1p1y6mYtlqtbJh4yZiYqJJT0vHzc2N5StWsf/AAXx8fOjXt0+1eSi5ubn4+/s7rPPz9SM7OweA4cOG8suvCygpKWHQwP4E+Pvz+x+L6N+/r8t6W0CBS7N0Vzi8n1pzgr6nG0wLb7g2iYiIiEj9WfznEo4eTeWSKZM4ePAQAG3atKFP714cPHSIhb/9gaeHB126xFZ5bXFxMe7u7g7r3N3dKCkpASC2cyc6XHc1JSUleHt7k5WVTVJSCqNGjmDpsuVs37GLyIhwxo4ZXe1wtFNBgUszFOtt5mlxNo8LgJfFbFcpZBEREZGmxWq1smjxEjZt3sI5Z59Fm9ataR0SQlzXLvj4+AAQGtqGjMxMNm7e4jRwcXd3rwhSypWUlOLpaQsNPDw88PAwy6tWr2HAgH4kp6SwY+durrjsEuYv+I0NGzczcEC/U/dhK1GWQzM1oZWZp+XGMAhyA4vdttEBmnxSREREpKmxWq3MX/gbmzZv4eyzxtG5U0fA5LqUBy3lWoeEkJOT4/Q4/v7+5ObmOqzLzc3Fz8+vyr7HsrJIOXyYrl1iSU4+TER4W7y8vGgXE0NKSkr9fLBaavDApcgK/0yA0HXQZh3cvB8KyoY07S+A8TvAfy1032xmf6/JZ2nQZRP4rYELd8Fhu66FP7MhdiOErYe3jzi+7q4EM5SquYv1NuWOM/vDtp629YuzIaek+teJiIiISOOz+M+l7NixiwnnjCc2trPD+m+/n+ew75EjRwkJDnZ6nIjwtiQlJVcsZ2Vlk5WdTUR41TyCVavWMHBAfywWCxaLCZ4ASq2lNPQs9g0euNydCHMz4Osu8G0XmHcMHk8CqxUu3A1tPGBlN7i6DVy8G/YWOD/Oyhy4eh88EAHLusGxErhqn237bQfghjCY3Qn+kQBHi8365CKYnwVXtj7FH7SRifOBHmWBeJ4Vfjrm2vaIiIiISO0lJ6ewfsNGhg4ZRNu2YeTk5lY8OnbswIEDCazfsJHMzEw2bNzEtu076N+/L2DmgMnJzaW01PQW9OrVgx07d7F5y1aOpqby64KFdGjfjuBKVckyM49x5MhRupQFSW3Dwjh4KImjR1PZs2cv4W3bNujPoEFzXDKK4V9H4LsucHqAWfdIJHyaDguzYHs+LIqHQHfo4Qu/HoP/HIUnoqse69XDcHEIXBNqlj/oBO03wq586OID2/JhcrC5YA92hz0FEOoBTyXD/4WDu6XqMZu7ycGwpSy4/jIDJoe4sjUiIiIiUlu7du8BYOmyFSxdtsJh2y1/v4HxZ41j5arVLFm6nKCgQM4+axxRkabkcVJyCl99/S1XXXkFQUGBREZEMOaMUaxYsYr8/HzatYthzBmjqrznytWrGTjQ9LYAREVFEtc1lrlffUNUVCR9+vQ6xZ/akcVa3t/TAL7LgKn7IK0vWCoFDk8mwXeZsKSbbd0jh2BRNsyPq3qsuE0mALkxzLau40Z4PMqU+Y3fBI9GwXB/iN8Me3qBFZi4C1Z3b5mBy5pcGLjVPA92h8N9wbMF/hxERETk1HrtjTdd3YQ6u+2Wm1zdBDmOBh0qtrsAOnjBJ+nQczN02Aj/lwiFpZBUBFGVqqmFe0JiofNjOd3fw7b/09Fw3T6I3QT3RECUFzyZbJ63xKAFoL+v+fkDZJTAb1mubY+IiIiISG016FCxrFKTs/LqYXizA2SVwM0HoNgKuaXgXSmM8rZAQTX9QU73d7PtPykEUluZxP9gD0goNAn7r7aD+w7CR6lwWgC82xH8WkhtNYsFLgqGlw+b5bnpcFaQS5skIiIiIlIrDXrJ7mGBY6XwUScYUVaS9/kYePOImVukoNKEiQXW6oMKHzcn+5c67u/rZoIWgJlJMD0ClufAJ2mwuacJmF49XH+frymYHGx7/nUmlDZ0OQgRERERkRPQoIFLlKfp4rGf+DDeB/KtEOFpKn7ZSy6CyGom44z2hOTiSvsXO99/f4EJWC4NgaU5MNTfFAA4MwiWOS9v3WydHgBhZcFcUpH5uYiIiIiINHYNGrgM94diYGOebd2WPAh0g+EBsC7PcX6RxdkwzN/5sYb5m+3lEgrhQKHz/R9PghkR4GYxEzGWd9QUW00Z5pbE3QIX2FW6m5vhsqaIiIiIiNRagwYuXX3gwlZw7T5YnQOLsmD6QbghFMYFmsTxa/bB5jx4Jtn0htxQVu64sNT0wJSUBRo3h8H/0szkkhvzzJwuE4LMe9jbU2CqaV1SVvp3kB/8ngXrc01J4KHVBEbN2SS7MshfZrS84E1EREREmp4GT0v/sBP08YWxO+Ci3TApGJ6KNj0BX8fC4WJTsveDVPgyFjqWDStbkgORG0zPCpgemrc7wBPJMHwbtHKH9ztWfb/Hk+C+SFv55ZGBcHlrGLUd/N3g9oadN6dRGBdoernAVHrblO/a9oiIiIiIHE+DzuMijcdle8zEnwCPRsJDUa5tj4iIiDQfmsdFToUWUghYKpsUbHuuPBcRERERaewUuLRQ57YyJagB1ueZ+XVERERERBorBS4tVKC74+STX2a4rCkiIiIiIselwKUFsx8upsBFRERERBozBS4t2AWtbL8Af2ZDSlGNu4uIiIiIuIwClxYszBNGBpjnVuDrDFe2RkRERESkegpcWjgNFxMRERGRpkCBSwt3UbDt+fwsyCxxWVNERERERKqlwKWF6+ANA/zM8yIrfJ/p2vaIiIiIiDijwEWYHGx7/mW6y5ohIiIiIlItBS7ikOcy7xjklbqsKSIiIiIiTilwEbr7QJy3eZ5TCr8ec217REREREQqU+AiWCyOvS5zM1zVEhERERER5xS4CACTQ2zPv82AYqvLmiIiIiIiUoUCFwFgkB9Ee5rnqSWwKNu17RERERERsafARQBwszjO6aLqYiIiIiLSmChwkQr2eS5fZoBVw8VEREREpJFQ4CIVRgVCa3fzPLEIVuW6tj0iIiIiIuUUuEgFTwucH2xb/jLDVS0REREREXGkwEUcOJRFVp6LiIiIiDQSClzEwfgg8Cv7rdheAFvzXNseERERERFwQeDySRpYVjs+Ltpltt20v+q2l1KqP9ZnadBlE/itgQt3weEi27Y/syF2I4Sth7ePOL7urgR4P7X+P1tz4OsGE4JsyxouJiIiIiKNQYMHLpvzzHCkpD62x3sdbduei3bcdmOY8+OszIGr98EDEbCsGxwrgav22bbfdgBuCIPZneAfCXC02KxPLoL5WXBl61P3GZu6ytXFRERERERczaOh33BLPvTxhQjPqtu25sMT/s63VfbqYbg4BK4JNcsfdIL2G2FXPnTxgW35MDkY4nwg2B32FECoBzyVDP8XDu6Wev1YzcrEVuYXoxhTWexAIbT3cnWrRERERKQla/Aely15EO9TdX1yEaSVON/mzLIcGBVgW27nBR28YGmOWW7vBWtyYX8BpJdAjCccLITfs+By9bbUKNgDxtkNF/sqw2VNEREREREBGjhwKSyF3QXwXabJTYndCNMToaDUBDQewIMHIXoD9N0C7x2t/lhJRRBVqWcm3AMSC83zp6Phun0QuwnuiYAoL3gy2TxXb8vxOQwXU3UxEREREXGxBh0qtrPADD/yd4MvOpsg5o4EyCqFHmU9LX394B9t4bdsuOkA+LvDJSFVj5VbCt6Vwi5vNygom+19UgiktjJBUbAHJBSahP1X28F9B+GjVDgtAN7taKuiJTYXBsPNB8AK/JFtcoRCG3xgoYiIiIiI0aCXoj194WhfaFP2rn39zIXx5Xshp78ZwtW6bFsfP9iZD/864jxw8XEzQYm9glLHIMTXzTwAZibB9AhYnmMqm23uCdfuM7ky90bU9ydt+iI8Ybg/LMmBUuCbDLgu1NWtEhEREZGWqsH7GtpUCpW6+0CR1dzRb+1k28FC58eJ9oTkYsd1ycUQ6SSxf3+BCVguDTE5MEP9IdAdzgwyuTLi3GS7gFHVxURERETElRo0cJmbDuHrTa5LubW5purX88lw3i7H/dfmQbdqkvWH+cPibNtyQqGpfjXMv+q+jyfBjAhws4AF04MAUGwFq/VkPlHzZp/n8ssxyCpxWVNEREREpIVr0MBldKAZGnbjAdiRD99nwt0H4e5wOD8Y5mXCK4dN7strh+GDVLi7bBhXYampPFZSFmjcHAb/SzOTS27MM3O6TAiCrpUCnT0FprpY+XCzQX6mstj6XNOLMNRJoCNGZ29TuhpM7tCPx1zbHhERERFpuRo0cGnjAT91NUO3BmyFG/fD30NNb8gZgfBJJ3jrCPTcDG8cMcsjykoeL8mByA2mZwVgeAC83QGeSIbh26CVO7zfsep7Pp4E90WCpayS2MhAk0szarspEnB72wb56E2Wfa/LXFUXExEREREXsVitGiwl1duQC323mueBbnCkb9VqbiIiIiL2XnvjTVc3oc5uu+UmVzdBjkOXoFKj3r7Q2cs8zyqFBVmubY+IiIiItEwKXKRGFouZE6ecqouJiIiIiCsocJHjmhxse/5Vhq1AgoiIiIhIQ1HgIsc1zB8iyubYOVIMS7Jr3l9EREREpL4pcJHjcrPAhcG2ZQ0XExEREZGGpsBFasW+LPKXGZq4U0REREQalgIXqZUxgWauHIB9hbAuz7XtEREREZGWRYGL1IqXG5zXyras4WIiIiIi0pAUuEitOQwXS3dZM0RERESkBVLgIrV2ThD4WMzzTfmwM9+17RERERGRlkOBi9SavzucHWRb1nAxEREREWkoClykTiaF2J4rcBERERGRhqLARerk/FZQVlyMZTlwqNClzRERERGRFkKBi9RJaw8YHWhb/irDZU0RERERkRZEgYvU2eRg23MNFxMRERGRhqDARersomDb89+yIL3YZU0RERERkRZCgYvUWbQXDPEzz4uB7zJd2hwRERERaQEUuMgJmWxXXWxuhsuaISIiIiIthAIXOSGTgm3Pf8qE3FKXNUVEREREWgAFLnJC4nygh495nmc1wYuIiIiIyKmiwEVOmH2vi6qLiYiIiMippMBFTph9nsu3mVBkdV1bpOnaXQC3HICgteC22vx7ywGzXkRERKRcgwcun6SBZbXj46JdZtv+Ahi/A/zXQvfNMO84w48+S4Mum8BvDVy4Cw4X2bb9mQ2xGyFsPbx9xPF1dyXA+6n1+7laov6+0MHLPM8oMaWRRepiXib02QLvHIGsUrBi/n3niFl/vHOAiIiItBwNHrhszjNDjJL62B7vdQSrFS7cDW08YGU3uLoNXLwb9lZz13VlDly9Dx6IgGXd4FgJXLXPtv22A3BDGMzuBP9IgKNlc40kF8H8LLiy9an9nC2BxeI4p4uGi0ld7C6AKXtMYYeiStuKMOun7FHPi4iIiBgNHrhsyYc+vhDhaXsEe8DCLNieD291gB6+MD0CTguA/xx1fpxXD8PFIXBNKPTxgw86wU/HYFe+2b4t38zwPi4Igt1hT9nFz1PJ8H/h4G5pkI/b7NnnuXyVAaUaLia19EIKFB2nGl1RKcxKaZj2iIiISOPW8IFLHsT7VF2/LAf6+0Ggu23diABYmuP8OMtyYFSAbbmdlxm2VL5/ey9Yk2uGn6WXQIwnHCyE37PgcvW21JsRARDmYZ4nFcHyav6/RCr7KLVqT0tlRcCHGtYpIiIiNHDgUlhqhn18l2lyU2I3wvREKCg1F71Rno77h3tCYqHzYznd38O2/9PRcN0+iN0E90RAlBc8mWyeq7el/rhb4IJWtmUNF5Payq7l3D+13U9ERESatwYNXHYWQDHg7wZfdIbnYuDjNPhnohnP7l2pNd4WKKhm6JHT/d1s+08KgdR+cLQvPBYFCYUmYf+yELjvILTfAJft0cSJ9WGSXXWxLzNMvpLI8QTU8uxT2/1ERESkeWvQS4KeviaQeKsD9PUz5XRfagdvHwUfN9PzYq/ACn7VtNDp/qWO+/u6mfwZgJlJJm9meY6pbLa5JxRbTa6MnJxxgbaLy10FsDnfte2RpuHKNuB5nH08galtGqI1IiIi0th5NPQbtqn0jt19zPwfUZ6wPtdxW3IRRFZzZRPtCcnFlfYvdr7//gITsLzRHl46DEP9TS7NmUEmoV9Ojo8bTGwFn6ab5bnp0MvXtW2Sxu+ucFOWvKYEfU83mBbecG0SERFpzDIzM1m0eAlJycl4eHjStUssw4YOxsPDg2NZWSxc+AdJyckEBgQw4vThdOjQvtpj7dy1m2XLVpCTm0u7mGjGnDEaPz9zAZeUlMwv8xdSWFjI8GFD6Nmje8XrFv+5lDZtWtO9W/wp/7yVNWiPy9x0CF9vcl3Krc01Vb+G+cO6PMgpsW1bnG3WOzPM32wvl1AIBwqd7/94EsyIADcLWIDyty+2alhTfbGvLqY8F6mNWG9zM6E63hb4vLPZT0REpKUrKSnhux9+xN3dnYsnXcT4M8eyZ+8+li1fidVq5YcffsLHx5tLp0ymW7c45v30C8eOOb9Dn5JymF/nL2TQoAFMmXwRhYVF/Dp/QcX23xctpmePbpw9fhx/LPqTvLw8AHJyc0lMPEh8XNcG+cyVNWjgMjrQTDB34wHYkQ/fZ8LdB+HucDgj0FQFu2afmevlmWRTOeyGUPPawlLTA1NSFmjcHAb/SzOTS27MM3O6TAiCrpUqlu0pMNXFLinLwxjkZyqLrc81F9hDqwmMpG4mtAKvsqIH6/Kqn39HxJ59+Wz3Stu6+8A5QQ3aHBERkUYr5fBhMjOPMW7cGFq3DiE6OoqhQwaxY8dODh48RHpGBmPOGEXr1iEMHNCfiIhwtmzd5vRYGzZuIrZzJ7p3iyc0tA1njhvDgYREMjLNzM/p6Rl07tyJdjExeHt7c+yYmWV89eq19O/XBzc31ySgNui7tvGAn7qaoVsDtsKN++HvoaY3xN0CX8fC4WIYuBU+SIUvY6Fj2d3WJTkQucH0rAAMD4C3O8ATyTB8G7Ryh/c7Vn3Px5PgvkgzWSLAyEBTDnnUdlMk4Pa2DfLRm70gdzgz0Lb8VYbLmiJNyPws2/Mno+FAb8cAWEM5RUREjJDgYM6fOAEvT1tehMVioaCwkOSUFMJCQ/Hy8qrYFhkRQXKy88nQklMOExUVWbEcGBhAYGBAxf6BgQEcOXKUY1lZFBQU4B/gT3Z2DocOJdG1a5dT9AmPr8FzXPr7wcJqhsR18YHfq9l2RiBYBzquu7qNedTkvx2rrnupnXlI/ZocAj+UXWjOzVBugtTMaoVf7QKTcYFmPqYbQuH1I2bdQ4fg7CDbjQcREZGWytfXl3btYiqWrVYrGzZuIiYmmpzcXPz9/Rz29/PzJTvH+QR7ubm5+Ps7Djvy8/UjO9vsP3zYUH75dQElJSUMGtifAH9/fv9jEf3793VZbwu4IHCR5uuCVqYLrxRTejqlyMzFI+LM5nxIKSuw0dod+pWdb2dEwDtHTVXBlbkmGJ7YqvrjiIiItESL/1zC0aOpXDJlEuvWbcDd3XHQtbu7OyUlJU5fW1xc7GR/t4r9Yzt3osN1V1NSUoK3tzdZWdkkJaUwauQIli5bzvYdu4iMCGfsmNF4ejbcxZ5mSJB6E+YJIwLMcyvwTYYrWyONnX1vy9hA28Sw0V5wU5ht28OHVERDRESknNVq5Y9Ff7Jx0xbGnzWONq1b4+FRNUgpKSnBw8N5H4WzoKakpBRPT9v+Hh4eeHubnI1Vq9cwYEA/klNS2LFzN1dcdgmlpaVs2Li5nj9dzRS4SL2aHGx7PjfDVa2QpsA+v+XMSkn40yPApyyQWZ0L32Y2XLtEREQaK6vVyvyFv7Fp8xbOPmscnTt1BMDf35/c3DyHfXNzc/H383NylPL9c6vs7+dk/2NZWaQcPkzXLrEkJx8mIrwtXl5etIuJISXFeQ7NqaLARerVRcG25/OzINN5D6W0cEVW+M0ucBkX6Lg90tNUDiynXhcREREzh8qOHbuYcM54YmM7V6yPCA/n6NGjFBUVVaxLSkomPNx5wnFEeFuSkpIrlrOyssnKzibCyf6rVq1h4ID+WCwWLBYTPAGUWktp6K9mBS5Srzp4w4CyYL3ICj/oTrk4sSIHsssmVOrg5XyulnsjwNeuwpgq1YmISEuWnJzC+g0bGTpkEG3bhpGTm1vxiIqKJDAwkF8X/EZqWhqr16wjOeVwxcSRJSUl5OTmUlpqvnx79erBjp272LxlK0dTU/l1wUI6tG9HcLBjUmlm5jGOHDlKl7IgqW1YGAcPJXH0aCp79uwlvG3DludVcr7Uu0nBZu4cMHPlXN7ala2Rxsg+v+XMQOdVw8I94da28HxZL/QjSXBhsJlIVkREpKXZtXsPAEuXrWDpshUO2275+w2ce+7ZLFj4O5/NmUuroCDOPWc8QUFmSENScgpfff0tV115BUFBgURGRDDmjFGsWLGK/Px82rWLYcwZo6q858rVqxk40PS2AERFRRLXNZa5X31DVFQkffr0OsWf2pHFatUADKlfW/Kg5xbz3N8NjvQFX/XtiZ2R22Fxtnn+SSe4rJrg9nARdNoEuWW9M593hotDGqaNIiJy4l57401XN6HObrvlJlc3QY5Dl5NS77r7QFzZ0J+cUse76yLZJbAs27Y8NrD6fdt6wm12uS6PHIJS3WoRERFpkRS4SL2zWMxwsXJfZriqJdIY/ZENZdO30MfXBCc1uTsCAsrOVJvy4fP0U9o8ERERaaQUuMgpMcluOM83GVCsu+RSpnJ+y/GEesDtdrl/jyRBiX6fREREWhwFLnJKDPaD6LI76aklsCi75v2l5fi1hvlbqnNXOASWna225sNn6nURERFpcRS4yCnhZnGc0+VLXWgKkFIEG8vmx/K0wMiA2r2ujQfcYdfr8ugh9bqIiIi0NApc5JSxz3P5KkMTCAossOttGeYPAe61f+0/wyGo7Iy1vQA+SavftomIiEjjpsBFTplRgRBSdmGaUASrc13bHnG9uua32AvxgGl2E/o+lqTcKRERkZZEgYucMp4WuCDYtjw3w1UtkcbAaoVf7AOXWua32LuzLbQqC4Z3FsD/1OsiIiLSYihwkVNKZZGl3K4C0/MGJtF+sH/djxHsYRL1y6nXRUREpOVQ4CKn1Pgg8Cv7LduWbx7SMs23y285I9D0yJ2IO9rahiDuLoAPU0++bSIiItL4KXCRU8rXDSbYDQlSdbGWyz6/ZVwd81vsBbk79ro8ngRF6nURERFp9hS4yClnP1xMeS4tU4nVsaLYieS32PtHW2hd1uuytxDeV6+LiIhIs6fARU65ia3Ao+z5qlxIKHRpc8QF1uZCeol5HuEBPXxO7niB7nB3hG35iSQoLD25Y4qIiEjjpsBFTrlgDxhrd4f9qwyXNUVc5NdKvS2WE8xvsXdbGISWRcT7C+G/6nURERFp1lwauNywH87Ybls+eydYVjs+arrIffUwxGyAwLVw7T7IKbFtm5sOkeuh3Qb4ttIxpuyG37OQBjQ52PZc1cVanvknWQbZmQB3uMcu12VmEhSo10VERKTZclngMv8YvHPUcd3mPJjdCZL62B4TqrnImZsODxyEN9rDwjhYmQN3JZptJVa4cT88HwNPRpugpnzW9nW5kFECo08iOVjq7sJgKL/J/nsWHC12ZWukIeWVwqJs2/LJJOZXdksYtC3rdUkogv8crXl/ERERabpcErjklJjA4nS7eRyOlcDBIhjqDxGetod3NS186TDc3tZMcDjIH/7dAd5LhewSc1GcWgKXhMClIeb5kbIL5UcOwSNRp/wjSiURnjC87P+7lKq9YNJ8LcmGgrIbB/HeEONVf8f2d4d77XJdnkyGfPW6iIiINEsuCVzuP2TmcTjD7s7rljzwsUD7WlzUlFhND8sou9cP8zcT0a3NNePe/dxgTS6szgV/N2jjAatzILcURgTU/2eS49NklC1T5fyW+vb3MAgv63U5WFS1J1dERESahwYPXJZmw5x0M4zL3pZ8CHaHy/aa3JQhW+GHTOfHyCiBfCtEedrWeVhMcJJYBO4WeCYaRm6HM3bAizFm3cNJ6m1xpUkhtuc/H4Oskur3lebj11OQ32LPzw2mV+p1yVOvi9Sj3QVwywEIWgtuq82/txww60VEpOE0aOBSUAp/2w8vtYMQD8dtW/MhuxQuaAU/doVzW8H5u2B5TtXj5JZdlHhXqkzkbbEl597WFtL6QVpfuDEMVuSYSeqG+MP1+0zS/q0HoFQT1zWYWG/o42ueF1jhx2M17y9NX3qx6fUEc7I54xT1dt4UBpFlNzKSiuCtI6fmfaTlmZcJfbbAO0cgqxSsmH/fOWLWz6vmBpuIiNS/Bg1cHkuCrt4m96Syp6MhoTdc2Qb6+pmekXNbwZtOLkB8ygKWgkpBR4HV3H0tF+huKg8BPHwIHo00vT2b82F7L1iVY5al4TgMF9PPvtlbmGUu9AAG+ZnS2KeCrxvMsOt1eSrZdoND5ETtLoApe8zvUlGlbUWY9VP2qOdFRKShNGjg8r80+OkYBKw1j2dTTLWhgLVmKFfli5ruPmbMemVtPEzwkmy3rdgKqcW2u672lpRVNBoWYIaqjQ4wAc6YQFjmpEdHTh37wOX7TJWvbe5OdX6LvRtCIbrs7z+lGP6tXhc5SS+kQNFxzlFFpTArpWHaIyLS0jVo4PJbHGzqAeu6m8cNoeYu7LruZm6VWw447r82F7o5mWHbzQKD/WGxXYnVpdkmz6W/X9X9H7arJGaxmKpWAMXY7gZLw+jjC53LCjAcK4UFmk+nWTvV+S32fNzgPrtel2eSHed2Eqmrj1Kr9rRUVgR8qMlPRUQaRIMGLh28oYuP7RHiboZ4dPExZY3fPWp6ZXbmm2BjcTb8o615bV6pYw/LLWHmbtjcdDPk65YDcF2obWhYuT+ywMtiyiyDCZS+zzRzxszLtK2XhmGxOCbpq7pY83WgEHaWDaHxtdjKYZ9KfwuFdmW9LoeL4Q31ushJyK5lj3Bt9xMRkZPjsgkoK7uqjak09tAh6L3FVBT7qatJ6Ab4NA0iN9j2v6w1PBAJNx+AM3eauVxeiKl63EcqVRK7rLW563/aNpOof6mTfBs5teyHi32dYcpbS/Mz3663ZUSA6RE51bzd4P5I2/KzKWZuJ5ETEVDL39na7iciIifHYrVaddkoDarUClEbTB4CwKJ4za3THP11r+lBBVOe/J6ImvevL4WlELcZ9hea5aeiHcsli9TW0K2wIrfmfTwxlStfa98gTRJpMl57401XN6HObrvlJlc3QY5D94mkwblZ4KJg2/JcVRdrdqzWhs1vseflZnpjyz2XrDmDpO4WHIOVxwlaADzdYFr4qW+PiIgocBEXcSiLnGEudKX52JRvckwAWrtDP9+Gff+r20CnsiIQaSXw6uGGfX9p2pKK4Iq9tuItbpieFWcej7QNaRYRkVNLgYu4xJhAaFVWSGFfIazPc217pH7Z57eMDTS9bA3J0+LY6/J8CmSq10VqodgKl++xDWVt6wGL4sxwsCA386VpX7n/k3RNZCwi0lAUuIhLeLnBea1sy6ou1rw05Pwt1ZnaxnYnPL0EXlGvi9TCI4fg97JS+xbgf53gtECTw5LZH0oGwo5e4F0WjK/KhfdUDllEpEEocBGXsR8upjyX5qPICr81gsDF0wIP2vW6vJgCGcWuaYs0DfMyYWaybfmRSBjn5Pe3kzfcbZfXMuOgevRERBqCAhdxmXOCwKfsruWmfNiV79r2SP1YngM5ZfNadPSyTTjqCn9tDV3Lel0ySuAl9bpINRIKYepe2/JZgY6ltSubHgExdnMGPXbo1LZPREQUuIgL+bvDeLu7mRou1jzMr1RNzNLA+S32PCzwkN3F56wUSFevi1RSZIW/7IHUsl6TaE/4uBO41/C76+8Oz9nNHfbKYdimmy8iIqeUAhdxqcl2E4AqcGke7PNbxgW6rh3lLm8N8WW9LsdKzZAxEXvTE2FpjnnuDszuDGHVlRGz85cQGFk2B1UxcGeCKiSKiJxKClzEpc5vZS4UwFw4HCp0aXPkJGWVwLJs2/LYRhC4uFvg4Sjb8suHIU29LlLmy3R40W4I4VPRtZ8Q12KBV9rZvkh/OgbfZdZ7E0VEpIwCF3Gp1h4w2u7i9mt96Tdpf2SbO88AfX2hbS3uWjeES0Ogu495nlUKL6jXRYA9BXDtftvy+a3grjpOJtnPD24ItS1PS4SC0vppn4iIOFLgIi7nMBmlqos1ab9Wym9pLNwtpkJUuVcOw1H1urRo+aVwyR5bNbAOXvBexxObc+iJaAgu6zreXaAiECIip4oCF3G5i4JtzxdmKXm6KZtvXwa5EQwTszclBHqV9bpkl8LzyTXvL83bXYmwJtc897TAZ51ND/CJCPWAx+yGIz6epGGvIiKnggIXcbkYLxjiZ54XozHiTVVyEWzMM889Lbak5cbCrVKuy6tH4HCR69ojrjM7Dd44Ylt+IQaG+J/cMW8Og55lgXFOKUw/eHLHExGRqhS4SKMwSdXFmrwFdr0tw/1NudjGZnIw9PE1z3NL4TnlurQ42/PhBru8linBcFvYyR/XwwIvt7Mtf5gGS7Or319EROpOgYs0CvZ5Lj9mmotKaVoaa36LPbdKuS6vH4YU9bq0GLlleS3ZZeeXLt7wTsf6m2toXJDjuewfCVCq8sgiIvVGgYs0CvE+0KNsmEWeFX7ScLEmxWqtFLg0svwWexcFQ/+yXpc8KzyjXJcW4/YDtuGM3haY0xla1XPP4Asx5tgAq3LhvdT6Pb6ISEumwEUaDYfqYhmuaoWciF0FkFDWcxHoBoNPMl/gVLJY4BG7XJd/HYEk9bo0e+8dhXftgojX2ptSxvWtkzfcbVdSecZBW+UyERE5OQpcpNGwD1y+zYQiDbFoMn61y285I9CM92/Mzm8FA8suWvOt8LR6XZq1jXlwywHb8tTW8Lc2p+79pkdATNkcRoeL4bFDp+69RERaEgUu0mgM8IP2XuZ5Rgn8nlXz/tJ4NIX8FnsWCzxq1+vy5hE4qPK1zVJWCVyy2wwLBDMk9V/t6y+vxRl/d3guxrb8ymHYln/q3k9EpKVQ4CKNhsXi2OsyN8NVLZG6KLE6VhRrzPkt9s4NspXhLlCvS7NktcKN+2F7gVn2czN5LQ1R8e4vIbaS4MXAnQmmPSIicuIUuEijYh+4fJWhijxNwdpc00MGEOkJ3X1c257aqpzr8tZRSFCvS7Py5lGYnW633B56+DbMe1vKyiOXd+z8dExzVImInCwFLtKojAgws1CDSZhekePa9sjx2ee3jAs8tUNw6ts5QTCsrJBAoRWeUq9Ls7EmF+5IsC3fEApXnsK8Fmf6+8GNobblaYlQoFLvIiInzKWByw374YzttuX1uTB8G/itgYFbYeVxLlpfPQwxGyBwLVy7D3LsKrfMTYfI9dBuA3yb4fi6KbuVP9FYuVvgwla2ZVUXa/yaWn6Lvcq5Lu8chf0FrmuP1I+MYpPXUljWY9vX13FyyIb0RDQElw1N210ALx12TTtERJoDlwUu84+Zi4RyOSUwYZe5+7m6uxkbPHGXSax0Zm46PHAQ3mgPC+NMkHNXotlWUjau+fkYeDLaBDXlY4vXlQ1rGd1ExuG3RJNCbM/nZmhceGOWVwqL7WYHH9cE/67OCoTTy3pdiqzwpHpdmjSrFa7bD3vKhv0FluW1+Lro2y7UwzE4fjwJDmlIoojICXHJqTynxAQWp9vN9fBpOnhazORd3X1hVoyZGOzTdOfHeOkw3N4WLgiGQf7w7w5moq/sEjhaDKklcEkIXBpinh8pNq975JDjuHZpfMYFQkDZb+auAtisajyN1p/ZJrEdoJsPxHi5tj0nonKvy7tHYZ96XZqslw879tT+pyN0dXHe1c1h0LOsDTmlMP2ga9sjItJUuSRwuf+QmevhDLu7s8tyTCDjVjY+3mKB0wNgaXbV15dYTQ/LKLvXD/OHYqtJFA71MNVj1uTC6lzwd4M2HrA6B3JLTR6FNF4+bnCuhos1CfMr5bc0VWMDHStAPZHk0ubICVqWDXcn2pZvDzM3sFzN0+I4VO3DNNNWEZGWpLS0lJzcXEpLTzzZr8EDl6XZMCfdDOOyl1QEUZXu1oZ7QKKTGa0zSsykcVGetnUeFhOcJBaZPIlnomHkdjhjB7wYY9Y9nKTelqZicrDt+ZfV9LqJ6zXl/BZ7Fgs8ZndueC8V9qjXpUlJLYZL95jAE2Cwn+NcKq42LsixauLtCaqaKCItQ3JyCl998x1vvv0u773/EUdTU/n5l/ksW76izsdq0MCloBT+th9eagchHo7bckvBu1I1Im835xVYcsvWVdnfYtv/traQ1g/S+sKNYaY6VZEVhvjD9ftM0v6tB/TF0VhNaAVeZf+/a/Ngry4iG520YtOjCeZEckYT78k8I9D2GUpQr0tTUmqFqXshoexGV4g7fNbZfIc0Ji/E2L63VuWaAFlEpDlLTDzI3K++AWDY0MEV69u0ac3qNetYu25DnY7XoKf1x5Kgq7fzrnsfi22sfLmCUjPky9m+4GR/q+P+ge4QUFbN5eFD8Gik6e3ZnA/be8GqHLMsjU+Qu+NEhl9luKwpUo2FWVD+JzjYH4I9aty9SbDPdfkgFXYpv6pJeCYZ5tn1/n3QETp6u6w51erkDXeH25ZnHITMagrQiIg0B0uWLqdrl1guuuA8+vbpjbWs4tLAAf0ZNLA/m7dsrdPxGjRw+V+amYQrYK15PJsCi7LN82gvSK40LCy5yExoV1kbDxO82O9fbDVDBZztv6RsLPGwspyZ0QEmwBkTaHJrpHGyry6mPJfGx2GYWBPOb7E3KtCWq1OCqQAljdvvWfDAIdvyPeFwXrDLmnNc0yMgpux76nCxfsdEpHlLTUsjPq6r023R0dFkZdVtfpIGDVx+i4NNPWBdd/O4IRQG+Znnw/xNgFFe+tZqhT9zbJPDOTTaYu7w2pdhXZpt8lz6+1Xd/2G7SmIWC5SPPivGdsdYGp8LWtl+QRdnQ4qTfCdxHYfE/Cac31KZfa/LR2mwXb0ujVZKEVy2x3ZOHxFg5k1pzPzd4Vm73JuXU2CbfsdEpJny8/UlLd358Kb09HT8fH3rdLwGDVw6eEMXH9sjxN3U1u/iA1NCILvUJCxuyYN/Jpo5XC5rbV6bV+rYw3JLGLyQYuZzWZUDtxyA60JtQ8PK/ZFlciWGlgVAg/zg+0zYnAfzMm3rpfFp62mrAGcFvslwZWvE3v4C2FmWd+RrgeHN6O/o9AAYXxaIlaI74o1ViRWu2AvJZdn4oR4wu5Op4NXYXRZiO7cVA9MSNF+ViDRP3brFsXzFKrZs3UZevrlLYy21kpCQyIqVq+natUudjtdoUheD3OH7LqbXZcBWMz/ED11MngrAp2kQaZe/c1lreCASbj4AZ+40c7m84KSCzCOVKold1hr6+MJp20yi/qWNoFSmVM++Co+GizUe9r0tIwNNCevm5NFI2/NP0mBrnuvaIs49lgQLyn4PLcDHncyQ46bAYoFX2pl2A/x4zNxQExFpbgYPGkhsbCcWLPyd997/CIDP537FN9/9QFRUJEOHDKrT8SxWq+7zSOO1vwA6bjLPvSxwpK8JcsW1rtgDn5T1/D4bDXdHuLY9p8K5O20J35eFwCedXdsesfn5GJyz0zbU96FIxyF+TcVN++Gto+Z5rDds7tH4KqGJnKjX3njT1U2os9tuucnVTWi20tMzOHjoEPn5+Xh5eREVGUloaJs6H0enSGnUOnjDgLK8pUIr/KC7ki5ntTr2uDTl+VtqYt9T+2m6GV4qrnewEP661xa0jA00gUtT9EQUBJfdiNldAC8ddm17RETq28FDhyguLiYkJJhePXswaOAA+vTuRWhoG7Kzc1ixcnWdjqfARRo9++FiczNc1QoptynfVEMCaOMOfeuWV9dkDPGHia3McyvwqHJdXK7ICpfthaNlv38RHvC/TmaC4aYozNOxp+iJJDhU6Lr2iIjUty+/+pY5X3xJRmbVO8/ZOdmsXKXARZoZ+8BlXibkO5mUVBqOfRnksUGmyl9zZZ/rMicdNqrXxaUeOGirJukGzO4M4U5K4DclN4dBDx/zPLsUph90bXtEROpbUVERn82Zy+49e0/6WApcpNHr4QNxZZPJZZc6XjhLw2uO87dUZ6C/Kctd7tFD1e8rp9Y3GWbur3Izo2F0M/j987TAy+1syx+mwbLs6vcXEWlqzho3lvj4rvz40y/8uWQpJ5Ner8BFGj2LRcPFGovCUvjd7qKquea32LPPdfkiA9bluqwpLda+Arh6n2353CAz0WRzcWaQ4znuHwlQqrI5ItJMuLm5MXrkCMaOGc2GjZv58utvyc3NxWKpexiiwEWahEl2Zau/yYBifam7xIpcyCkbqtfRCzp7u7Y9DaG/n+NFpXJdGlZBKVy6BzJKzHI7T/igU/MbovhCDHiXfaaVufB+qmvbIyJS37p3i2fyRReQmXmMT+d8wdGjR+t8DAUu0iQM9oOosrHsqSW2ce7SsByGibWA3pZyj9jlunyVAWvU69Jg7k40F/IAHsBnnaGNh0ubdEp08oa77XqRph+EzBLXtUdE5FQID2/LXy6ZTFBQEAt/+6POr1fgIk2Cm0WTUTYGLSm/xV4fP5gSbFt+RLkuDWJOOrx6xLb8XAwMC3Bde0616REQU3aD5nAxPK7ePRFp4oYMHoh/gL/DOj8/PyZdeD69e/UkIKBuJ3UFLtJkOAQu6WY+EWk4WSWwPMe2PLYFBS4AD0fZZjr/NhNW5dS4u5yknfnwt3225UnBcEdbV7WmYfi7w7MxtuWXU2BbvuvaIyJysoYMHkSAv3+V9W5uboweNYKrp15Rp+M1ww53aa5GBUKIO6SXQEIRrM6FQVX/FuQU+SMbyqbPoJ+vmYOiJenlC5eGmMkoAR4+BN93dW2bmqu8UrhkD2SV5VN19oJ3O5hCHc3dZSHwxhEzHLYYmJYAP3RpGZ9dRGqvpKSET+d8wcjTT6NdO3PHY9XqtSxbvsJhv759ejFyxOlOj5F48CCLFi0h89gx2rYNY+yY0QS3MqU009PT+fHnX8nOzqZP794MHTKo4nXrN2yioCCfIYMHOT3uJ7PnMP6scbRp05pPZs+p+YNY4PK/XFLbj63ARZoOTwuc3wo+SDPLX2YocGlI9sPExrWg/BZ7D0XCZ+lmQsofjpkeqKH6Hax3dyTA+rI5c7wsMCcWglvIt5XFAq+0g4Fbze/Zj8fg+0w4L9jVLRORxqK4uJiff5lPWlq6w/q0tDT69O7FwIH9K9Z5ejg/eWZlZfP9Dz8xeNAAOnbowMpVq/nhh5+4/LJLsFgsLF22gqioSLp3i+err78jtnMnQkPbUFxczOYtW7h40oXVti+sbSienuZ9w8JCbcMV6kEL+SqQ5mJyiGPgMjPapc1pUVpqfou9Hr7mjvgndr0uP6rXpV59mApv2xWaebkdDPBzXXtcob8f3BAKb5X9HKYlwllB4K3B3SItXlpaOj//Mh8rVcfLp6dn0KdPL/z9jn/S3LJ1K6Ft2jCgfz8Axo4ZzbvvfUhi4kHatYshPT2DXj170DYsjJCQYNIzMggNbcOmzVvo2qUL3t7VlxU9c+wY2/NxY6rd70TU6TRYbIWPUuHafTBhpxmD/N+jsEEVdqSBjA8Cv7Lf2q35Gv/dUJKLYFPZz9rTAiObcYL08TwUZTtx/nQMlqrCXb3Zkgd/P2BbvjwEbgp1XXtc6YkoaOVunu8qgJcOu7Y9ItI4HDx0iOjoKKZMvshhvdVqJT0jg+DgVs5fWEly8mGioiIqlj09PQkLCyU5xcz0GxAYwJGjRykoKODYsWMEBgRQVFTE5i1b6dunV53anJ6eQWqaueucn5/P738s4rvv57F12/Y6HQfqELikFsOwbSZoWZMLPx8z44/nZsBp2x2TdkVOFV83OMdumNKX6dXvK/Vnvl1vy2n+Jom4permA1e0ti0/rApj9SK7BKbsgdyyvJZ4b3izheS1OBPmCY/ZTX76RBIkFbmuPSLSOPTu1ZORI07D09Mx0fTYsSyKi4vZsmUb73/wMR//71PWrF1X7Sz1Obm5+FdKmvfz9SU721zQDxk0kDVr1/POu+/Tvn17IiLC2bhpM/FxXfHy8qp1e3fv2csnn85hW1mQ8uuC39iydTtFxcUs/O0PNmzcVJePX/vAZVqCqSm/qxes7k5FB9Xnnc0Y7/sO1ul9RU6YyiI3vPlZtuctNb/F3kORUB67/ZKleYVOltVqelq2lvXq+Vrg81gIbMEBMsDNYdDDxzzPLoXpia5tj4g0Xunp5k6uv78/Eyeew4AB/Vi1ei1r1613un9xcTHu7o4nWXd3d0pKzARSkZERXHfNVK679irOGjeGoqIitm7dTp/evdiwcRPvf/gx33z7Pbm5eTW2a9XqNXTtEsvwYUPJyclh//4DDB40kEkXns/QIYPYsHFznT5nrQOXbzNhZhR08HbMsfF2g7vCTYUnkYZwXitbctbKXEgodGlzmj2rVfktlXX1gSvb2JbV63Jy3jkKH6fZlv/VwVRxa+k8LSbHp9wHabBMQbKIONGxYwf+dt3VDBs6mNA2bejeLZ7BgwawafMWp/t72AUp5UpKSvCwS+Z3d3fH18fcPdmwcRPdusVRWFjIsuUrmXLxJEJah7Bi5aoa25WenkGP7t1wc3Nj334zFrhLbGcAIsLDycrKqunlVdQ6cCmxgk81exdbNaeGNJxgDxhrd9f/qwyXNaVF2Flgyk8DBLrBYFXRAuBBu16XBVnwe93OvVJmXS7cnmBbvq4NXN2m+v1bmjODHHuZ/5EApfq+FREnyoOMciEhIeTkOO9Z8Pf3JzfXcVtuXh7+/lUT+wsLC9m6bQe9e/ciJeUwISHB+Pv50b5dTEVOTHW8vLzIzzfd6fv27ScoMLAiDyc9IwM/37rdpap14DI2EB5NgvRi2zoLUGSFlw/DaN2FlQak4WINx763ZUwgeLTQnIPKYr0dL7DV61J3mSVmvpaCsgvx3r7wanvXtqkxeiEGvMv+7lbmwvuprm2PiDQ+69dvrDJnytEjR6tN1o+IaMuhpOSK5aKiIo4cOUp4eHjVY2/YRI/u8Xh5eoLFUpE3U1pqxUlxMwcdO7RnydLl/Pb7IvbtP0B8fNeK9i5dtoLOnTvW4VPWIXB5oR0cLITYTXDBLhO0PHgIum+G9bmOs/2KnGoXBtuGLP6RZYpHyKnxq11PwpnKb3HwQKRt2OLv2bBQvS61ZrXC9ftMxSyAADeY09lWNVBsOnnD/9ldS0w/aII+EZFy7du3IyMzkyVLl5ORmcn2HTtZvXZdRbnj0tJScnJzK4aHde/WjZSUw6xatYa0tHQWLPydwMAA2sU4zjNRUFDA9h076N2rJwBhoaGkpaWTlJTMrl27CQ9vW2O7Ro44jejoKA4ePET37vEMHGDmmNm8dRuxnTsxfNjQOn3OWn9FxHrDhh5wUxiklZjllCIzIeDaHqbSjkhDifSE4WVDlkqAbzNc2Zrmq8TqeDE+Tj2rDjp5wzV25XofOqRhs7X12hH4PMO2/E4HiNf3SLVmREB0WRGhw8XweJJr2yMijUtISDDnTTyHxMSDzP70c5avWMlpw4cSH2d6OLKzc/jvex+SlGyGdgUFBXLuOePZtmMnn30+l9y8PCZOOBtLpVKO6zdspEf37hVVzIKCAhkyeCDf/fAjx7KyGDJ4YI3t8vT0ZOyY0fz1ir8w9ozRFQUBLv/LFMaOGe2QU1MbFmt1ddKqkV4MIWXvkVkCR4qgi75sxAWeT4a7y6rZnd8Kvuni2vY0RytzYMg28zzSEw72brnlaauzrwDiNpthswC/dFXP1PGsyIER220/s1vC4HUNETuuT9Lgir3muQewqaeCPWm8XnvjTVc3oc5uu+UmVzdBjqPWPS7pxXDuThi+zbZuabb5wr7Urvb+8WzLhzN3QMBa6LARnrMNr+Om/WBZ7fh4qYacn8/SoMsm8FsDF+6Cw3Y17v/MhtiNELYe3j7i+Lq7EjRGuDmYFGJ7/m0muK2GoLVwywHYXeC6djUnlauJKWipqqO3SSgv97B6XWqUVmy+M8qDloF+8KKGGtfKZSEwomzy12LgzgT9rtXG7gLzvRC0Vt8TIk1drQOX/0uEjXnwnN0XzNhA+L6LmXzy/lrM41JkhQk7ob0XrOsOr7cz3d0flwURm/PguWhI6mN73Bjm/Fgrc+DqffBABCzrBsdK4Kp9tu23HYAbwmB2J1OF5WhZDkRykZmT4srWzo4qTcmOfMfS3FbMpKjvHIE+W2Bepqta1nwov6V27osEr7JfxiU5ZoJeqarUas7b+8tKmLdyh886m7L6cnwWC7zSznbe+/EYfK/zXI3mZZrvg3eOmO8HfU+ING21/rr4PhNebAfnB9vWebnBhFbwdDTMqcUM5gcLYYi/GRLQxQfOCzYXQ7+X1aXfmg+D/CHC0/aoLlHz1cNwcYgZX97HDz7oBD8dg11lE5hty4fJwWayvGB32FN2Z+WpZJPk6K47x03a7gIzy7azm41FmB7AKXt0R+1k5JWanstyym+pXnsvuN4u1+XhJN0Jd+b5FPjO7kLxvY7Q2dtlzWmS+vvBDXa/a9MSoaCWIx5amvLvidxS871gT98TIk1TrQOXvFLwqeZiP9ANMmpR4aSjN3zaGXzdzJf6n9mmItS4QNMTklZS+/G6y3JgVIBtuZ0XdPCCpTlmub0XrMmF/QWQXgIxniZw+j0LLldvS5P3QgoUHefLuqgUZtVcXlxq8Ge2rUxtNx+I9nJtexq7GRG2XpflOTBPvS4OFmXBfXY983eFw0XBLmtOk/ZElOmtAlOV7eXDrm1PY6XvCZHmp9ap/KcFwDPJZniYv7ttfW4pPJcCpwdU/1pnYjbCoSIzC/qUEBNQeAAPHjRf+KEeMK2tY8Uee0lFEOXpuC7cAxLLhiA8HQ1/3QuFVjOMI8oLbj0A90Sot6U5+Ci16h20yoqAD1PhNSX9npDK+S1SsxgvuCkUXi3LqXv4EEwIUl4QmPzDy/aaCoBgKgI+FV3jS6QGYZ7waCTcmWiWH0+CqW1MAQ2xqe33xL+PmAm2B/qZRxdvcNPfrUi9sFqtbN6ylf37D1BUXEzlmmAW4KILz6/18WoduDwTDSO3Q/uNZrLJth5wpNgEHCXA73G1fk8Avo41gcvNB2Bagq2npa8f/KMt/JYNNx0wQdIlIVVfn1tadVy0t5vtDvGkEEhtZbrQgz0godDcQX61nbnr91GqCcbe7ah5A5qi7FoOjajtflKV8lvqbnoEvH0U8q2wKtcMsT0v2NWtcq0Sq7mJdKjsCrKNu+l599SF4Um5pS28dRS25Jvz3PREeL+Tq1vVuNT2/F+C6Z0pF+hmhuQN9IMBZf/G+eimp8iJWPznUtZv2EhYWCgB/v5Vyi3XVa0Dlz5+sLGn6VJdmgOb8kxX9V/bmJ6RjnUcpzyobA6O3FKTrHmsnxnC1drD9n478+FfR5wHLj5uVcf1FpQ6BiG+buYBMDPJXFQszzElJTf3hGv3mVyZeyPq1nZxvQA3k2BZm/2k7tKKzVBLMONJz1CPS61EecHfw+ClsqE7DyfBxFYtu9dlZpJjEPxRJzO0V06OpwVebgdn7TTLH6TBzWEwrI6jH5qj3FJ4Kum4E3pXK6sU/sg2j3L+btDPFwb62wKabj7g0YL/tkVqY/uOnQwZPJAhgwfVy/HqNOtLey+Y1e7E3+xgIazOhQuCbet6+JjhXFmlZniYve4+1VfnifaE5EqzpScXO+8q319gApY32psLiqH+EOhu7iL/pHHoTdKVbUxVmJqGAXhihk9I3S3Msn3pD/a3jaeX47s3At48AnlWE/x9kwkXBru6Va4x/xg8YjdR4v0RcE4r17WnuTkzyOQJfZVhlv+RYKpsttRhTlYrzM2AfybCgcLavcYD83Mc6GeuT1bnmtEkleWUwp855lHO1wL97HplBvpBd1/1JorYKykpISoqst6OV6fAJaPYXNDklIKzm91XHecicWs+TN4Nh/pA27IAY3UuhHmYuyPbC+A7u0kE1+aZOxrODPOHxdm2Sj4JheZENcy/6r6PJ5nEWTeLGUtX3vZia8up/OMee/EJvW5Az86s/OY5p9sGX3A3azbvOaHjluz+wun6m+77F+98+mutj2PfoVL69LPQObZi2dMNpoXDW5/8zM0PnNhEWP964iZuvHx8lfWrN+5myEX3nNAxr//Lmbz55M1OtzWm/yc3oPSzL5zmt9T1/8neiq+eZWDv2Crrm9v/U/nv5mS7dY3978leff0/WbCV74154iZoZP9PzjSl/6cv5zzLPEssBVZYmWvmKLs2tPn9PTlj//+0Nc8EbuW9e5Z778ay9/j/T6XAz2WPcglbv2B1rrnxsDoXVueYG6OWN/+FZb7t/6kAWF72OJ6Wct5zJqZtIHdPHe5023MfLiXxcJbTbdV5+a6qn1kar44d2rNnzz5iousnsbHWgcu3GSa5Mq+a4TkWjh+4jA6EHr5wzT54IcaUIJx+0NyF6+sHL+2AVw6boRXzMuGDVJhfljtTWGqqjoV5mHGmN4fB6B1wur/pGr8jwSTCdq0U6OwpMCeftzuY5UF+8HQyrM+FLzOUdNxcWYBPO0GsN8x3dWOaOOW3SH3RyM36F+0J/9caZpZN5jzjIEx2Mry6uTpWYm5OvpRiJuUs52GxFYOoqxgv87DvKU0qguuCHAOcupi6D0YG2Xpnevtq/iJpGdq3b8fiP5dy7NgxwsPD8fBwDD0sFujXt0+tj1frwGX6QXPR/1p7U1r4RLqiPS1mwspbD8DQbWa41p1tTTK+xQKfdILHkuCeRFPb/5NOtlmCl+TAmB2wt5fJpxkeYIKRhw5BajGcFQRvOake9XiSqSpWPsZ8ZKDJpRm13QRSt7et++eQxsmCbXiTFdMzKCfH12IqQIlI4zUjAt5LhYNFkFJsvvfqWC+nSUorgW6bTVBRzg24NQwW+cKGenyvSE8zXP5Ebc2HrUdtyx5AL18ISD3ppok0avMX/AbAvv0H2Lf/QJXtFovl1AQuuwvMjL29fWt9bKfaecE3XZxvu7S1eThzRiBYBzquu7qNedTkvx2rrnupnXlI87KyG3xpd+fxsSRTaltO3KhA3RWsT6tzIWitydG6K9z0CIqcLH93eC4Grthrll9OgYeOVwe4GdhbAFa7zzkyAF5rZ4r7DHZds2qlGFiXB+TUT0/k7gJTGe2jVMjeZRueKeJqt91yU70ez2KtXFC5Gv23mN6J66qZV0WkMUgrho4bbRXHPukEl2nC0Tq5Yg98km6ePxsNd6vq3gm7dA/MSa+63hOTg/V5Z5jQhJPV52WamceLnMxMDjDAF1Z2b7nJ4g3JaoVRO0zuJ5ih0z90dW2b6lt6MTx4yFQbte9Qj/SE52Pg8pDGWcGvvEqjfd7M7oLavdYNU6ioojSzv6luFmBXMKW6v0NXn2dee+PEcndcqb4vssUmPz+f5JTDFBYW4uvjQ3h4W7y86t6NWevAZcEx+Nt+c3IY6u987pPWdUr1Fzk1HjwIT5T1unT3gY09VH+/tkqtELHBVlVnTXczn4HU3e4C6L3ZVBerjp8bbOjRNHtedhdAny2m9Gx1fC2mjH5T/HxN0dpcGLjVNmT2uy4mZ7SpK7XCu6kmf+eoXSKLB6YAy4ORZuh5U5JRbAoQrc6xBTQ7ahnMWDBz3w30gw5e8GKKmTuqOq46zyhwkXLLV6xkzdr1lJTYMs/c3Nzo17cPpw0fWqdj1TrU+MteyCoxdxCrUzKw+m0iDWVaOLx82PS6bM03d7zV61I7m/JsQUsbd+h7kkNDW7IXUkzlwprklcJFu0y+XVPze1b1xVrKFVvN3F+vOck/lPrX3w9uCDUTUwLcmWAK0DTl4Z4rcuC2A6Zimr2zAuGV9tVXHm3sgj1gTKB5lDtWYoJP+96ZbflV56OxYtZvy6/dexWV6u9QXGf9+o2sWr2WAf370rVLF/z8fMnNzWPHzl2sW7+BgAB/+vTuVevj1TpweT7mhNor0uBae8AdbW29Lo8lmUlM1etyfPYTBY4L0hCfk/FRas3zDIG5ANmUbx7NURHwYaoumBrSE1HwaTpklsCuAnMT554mONzzSJHpYflPpeT19l7wUoyZv6YxDgs7GUHu5iaG/Y2M7BKTC7Mm19Y7szXf+ZQU1dHfobjShk2bGTigH8OGDqlY5+fnR2hoG9zc3Ni4cfOpCVyOlwQv0phMCzeltY+p16VO5ttNyDquCfYCNCbZqmoH6OfQ0MI84dFIuDPRLD+eZCbidTY5c2NUbIV/HzG5LBl29Yy9LWZy13sjnA9Vb64C3E111fIKq2CGZ64v65W5PaF2x9HfobhKTk4O0VFRTrdFR0Wydt36Oh2vTlkpewtgZhLMz4LkIvizm7mr2MPXNhGkSGPQ2gPuCDdf2gCPqtfluApL4fds27Lmbzk5AW62IhE18bGYilBNzd2JNY+rLxfQgi4yG4tb2prhYlvyzQXr9ER4v5OrW3V8i7LgtgTYkOe4/oJWMKudmSZBTOA2PMA87jtYu/OM/g7FVVoFBXEoKYl27ap+0R1KSiLAv25zLtQ6cFmXC2fsgAgPOL8VvH7ErLcCN+03d0OmqldGGpE725qyoMdKzVjgz9LNHD7i3PIc29w3nbx0kXCyrmwD7xypebiYJ/C3ULitCc4ntSW/dp9P3wsNz9NiSv6P32mWP0gzwczQRjon06FCuOcgfJzmuL6LN7zcDs5tBgUGTpXanGfc0d+huE6fPr34/Y/FWK1WYmM74+frS25eHrt27WHtuvUMG1q34uW1DlymJZiJ6L7vYsZWvlYWuMxqB4VWk4iqPwxpTCr3ujyWBJeq16Va9vkt6m05eXeFw/upJjG2Op5uZlhjU9TcP19Td1aQyQP5KsMs334AlnVrXHlrhaVmSO+jSY5Dmfzc4IEI+Gd40y4s0BBq83dYgmMRAJGG1LNHdzIzj7F23QZWr1lXsd5isdC3Ty8G9O9Xp+PVOnBZngOfx5qTXuUCypeEmFl7RRqbaep1qbVf7fJbztSX3EmL9TbzJxxvfoWmWiq4uX++5uCFGDPHR4HVVOV6PxWubSTDun85Bv9IqFoZ69IQUwyo3UnMUt+S1PR3aO+G/dDV20zOKdLQThs+lAH9+5KccpiCggJ8vL1pG94WX5+6lwWs9b2MIHeT1+LMgUII0l0RaYRCPOBOuzu+jyVBSa1mLmpZjpWYmxPldHeufkxoZeZPuDHMnCPdMP/eGGbWN+XJJ6H5f76mrrM3/J/d+W/GQfO37kr7C2DKbjOMzT5o6eED87vCp50VtNRVdX+Hl4dASNn8NuklcNZO2NFMKxhK45Kfn0/5NJH5+fnk55tfvIjwtnRo347w8LZYKm2rrVpPQHn7AXO3enZnGBkAXmtgdXfwd4MJO2F8EPyrQ90+mEhDSC+GjhtNrwvAx53gCvW6OPguA87fbZ7384W1PVzaHBGpJzklEL8ZDpbdePy/cNcUg8gvhedS4Kkkx0lZA93g0SiT5+XZiIaxNRdrc2HMDlMeG6CdJyyKhw4N0BOqCShbrtf/9RZTJl9EeHhbXnvjTSzHqV1+68031vrYtR4q9kyMScYct8MEKwDn7jST1Q3yN9tFGqPyXpfHynNdDsFflOviQPktIs2Tvzs8GwN/3WuWX0oxVUDjG3Dixm8zzGSYewod11/V2lw7RDSRUs1NUX8/+KGL6W3JLYWEIhi30wQvTaVEtjQ9Y8eMJqiVuZgYN/aMej12rQMXPzeYHwc/ZcLCLEgrgVZl9cXPb9W4Ev5EKruzrZmILbMEtheYCdrU62Kj/BaR5uvyEHjjMPyZA8WYYjs/dD3177sz3wQsPxxzXN/P10yGeHqA89dJ/TotAL6OhYm7TDGl3QVw1g74PR7a1GlSDJHa6d4tvuJ5UFAgYWFheHlWjZQLCgpISEis07HrnJlydit4Ogbe6mC6my8MVtAijV+Ihwleyj12SLku5ZKLYHPZEFMvi+NEZyLS9Fks8Gp7KP+qnncMvs88de+XUwL3H4ReWxyDlhB3eKM9rOquoKWhnRkEczqb0shgzvnn7HR9zpM0f199/R3paelOtx0+fIRf5i+s0/FqjLX/caBOx+KV9nXbX6Qh3dkWXrLrdZmdBn9VCW/m211YDPc3Q0tEpHnp72eGiL191CxPSzC9q/VZbthqhc8z4J8JkGhXzMcC3BAKM6MhVHf4XeaCYPiwkxk2aAVW5cJ5u+DHrmZUjUh9mffjz2RkmLsjVquVn3+dj4d71T/+7JwcggLrNsyjxlPIt5XuyBwqgiIrdPQyY1JTi02Xo7cb9PWt0/uKNLjgsl6XR+3mdbmstXJdlN8i0jLMjDJFdjJLYGeBGT57T0T9HHtLHtyeAAuyHNcP9YfX28HARjr5ZUtzeWvILoEby25ML8qGSbvhm1jNmSP1p1/fPmzeuhWA1LQ0goOD8fV1TKxzs7jRzsuLXj3rVg2oxsBlb2/b8w9T4eFD8EWsuXNTbns+TN4Nk4Pr9L4iLmHf67JDvS5YrcpvEWkpwjzh0Ui4s2xI+eNJZuLok0nSPlYCjx4yE0kW27+XBzwbDVe10XDyxuaGMDPh5z/Lfg9+PgaX74XPOoOH/q+kHkRGRhAZabsrMnjgQFq1qp87o7WOr+87CE9HOwYtYCqTPB4Fz6fUS3tETqngyrkuSVDcgnNddhTYhnQEuZkKgSLSfN3S1syZAubidcbBEzuO1WpuaMZtghftghZ34I62sKMnXBOqoKWxmhYOj0Talr/MgOv2QWkL/j6UU+PMsWNqDFpSUg7X6Xi1Hm2aVVr9CSi31AwhE2kKnPW6XNlCe13s81vOCNTdNpHmztMCL7UzE0ACvJ8KN4eZIV21tTbXzO32Z47j+tEBpghAbw0dbxIeijTXdi+U3Xj+MA0C3M3QvuNMuyFSa9nZOSz6cwmHDh2ipKQU++kjS0pKsFqtdZrHpdY9LmcFwr2JsLLSieq3LLj3IFwUXOv3FHGpYA+YZtfr8ngL7nVRfotIy3NWkON39u0HanenPa0YbjkAg7Y6Bi1RnvBJJ1gYp6ClKbFY4LlouDHUtu5fR2D6QdOjJlIf/lj8JwkJicR17UKrVkGEhrahd68etGoVhNVq5Zyzz6rT8WoduLzW3kTiw7ZB6DrotglarzMTUnb1NndwRJqKO9qaeYjA1uvS0pRYHRNpld8i0nK8EAPeZXfVV+bCB6nV71tihbeOmGFh/zoCpWXrPS1wbzhs72kKnegufdNjsZgS1fbzmj2bAk8mu65N0rwcPHiI04YNZeSI0+nRvRvubm6cNnwYf7nkYtrFRLNnz946Ha/WgUu4J6ztDl/GmpKKowPh72GmjN5v8RCoEqrShKjXBVbnmuFyYO6YdmvAmbRFxLU6e8Nd4bblWw5A0FpwW23+veWAqRq6LBuGboObDkCq3Zwf44NgYw8zr1uAvv+bNHcLvNcRLmxlW/fAIXhZuctSD4qLi2ndOgSAkJBgjhw1d0ksFgu9e/Xk0KGkOh2vTsXv3CymDvjTMfBmB3gy2nQ518W2fDhzBwSshQ4b4Tm7qH5/AYzfAf5roftmmHecCbI+S4Mum8BvDVy4Cw7b1Y3/MxtiN0LYenj7iOPr7kow43qlZbujLQTb9bp80sJ6XSpXE9PdUpGWZUYEtCk7B+ZZTb6DFfPv20fMyIrh281NjnIdvMwNzB+7mOI80jx4WmB2Z8ee9zsT4d2jrmuTNA+BgQFkHjMXHMHBwRQUFHCsbNnDw4O8/Pw6Ha/GwKXPFtiUZ5733myWq3v03XL8NyuywoSd0N4L1nU3CWCPJ8HHqWY85YW7oY0HrOwGV7eBi3fD3gLnx1qZA1fvgwciYFk3U5Lxqn227bcdMCX/ZneCfyTA0bKSJ8lFMD8Lrmzt7KjSkrT0Xpf5dsPExim/RaTFSSk2QYozxTiWN/axwMORsLWnyY/RjY7mx8cNvoqF0+0KNVy/Hz5tYTf1pH517RLLn0uWsXXbdgL8/WnTpjWL/1xK4sFDrFqzlpDg4Dodr8aqYgP9wL8stBnob2a/PRkHC2GIP7zeHnzdoIuPSQj+PdvUkd+eD4vKhp318DV3hP9zFJ6IrnqsVw/DxSGm3CLAB52g/UbYlW+Ouy3fzC0T52Puqu8pMDP2PpUM/xeuSQfF+EdbmHUYMsomZPskzcxr0NzllsLibNvyOOW3iLQ4L6TULgm7kxfMj4NO3qe+TeJa/u7wfVcYuwPW5JoeuCv3mmvB84Jd3TppigYPGkh+fgEHDiTQvVs8Z4wayXc//Mievfvw8vJiwjl1S86vMXD5b0fb8/fKnluttjsteaWmEol/Lce3dvSGTzvbjrMkB/7IMoHMshwzR4x9rsyIADOrqzPLckwAUq6dl+nCXppjApf2XuaPztsC6SUQ42kCp9+z4MWY2rVXmr/yXpeHy4ZYPp5kZhZu7mWB/8yGwrILlu4+EO3l2vaISMP7KBWKjr8bqcUKWlqSVu5mKODoHbA13/S8TdkDP3SBseqdlzpyc3Nj9KgRFcuRkRFcPfUK0tMzCAkJxsurbhcgtc5xKSw1yXrDttnW/ZkNoevhnkRTdaQuYjbCiO0wPACmhEBSkUkQthfuCYmFzl/vdH8P2/5PR5vJlGI3wT0REOVlqmTcE6HeFnF0R7gt12VnAfyvBXSLV85vEZGWJ7uaYWInup80H2Ge8GtX6Fx2TVlghQt2m2INIifLy8uL8PC2dQ5aoA4TUM44aC7oZkbZ1g30gxfbwQMHTU/Jg5HVv76yr2PhUBHcfACmJZihK96Vwihvi/ljccbp/m62/SeFQGorKCg1d9UTCk2g9Wo7uO+gudN0WgC82xH86lSiQJqbVu7wz3B46JBZfjzJlIZszr0uym8RkQC36nNcKu8nLU+UF/waByO3w8EiyCmFCbvMfD39/FzdOmnM3nz73Trtf9MN19V631oHLp+lw6wYuNZuoqIQDzPjrgemN6MugcugsuSv3FKTZH9dG1tp1nIF1uqDCh83E5Q47F/quL+vm3kAzEyC6RGwPMfkMWzuCdfuM7ky90bUvt3SPP2jLbyYYnJddpX1ulzVTHNdUovNMEowXa5nqMdFpEW6sg28c6Tm4WKetIy8P3Guk7cJXkZthyPF5jty/E6Tj6yqclKdfn37nLICHrUOXDJKIMLT+bb2XpBSi4GyBwtNWcULgm3reviYsfaRnrAxz3H/5CKz3ploT0gurrR/sfP99xeYgOWN9vDSYRjqb3qIzgyCn45V3V9anpbU67IwyyRcgimW0aqWOWoi0rzcFW6mBiiqodfF0w2mhVe/XZq/bj7wc1c4Y4e5wXyk2ExrsSje5C6LVDZ0yKBTduxadwAP8IM3jzivQPLWUZNYfzxb82Hybsf5VlbnQpiHScRflwc5dr0ui7NhmH/V44BZb18VKaEQDhQ63//xJFOv3s1iKqOVn6OLrbWrqCItwz/s5nXZVQAfN9NcF+W3iAhArDd83tmMVKh8z88Ts/7zzmY/adn6+cG8LrZKs4lFMG4HHKomD1mk3LZtO477qIta97g8GmW6B7tvhnNbQVtPOFIE846Z2XV/7nr8Y4wONGWOr9kHL8SY100/CPdHmG0dvMy2R6Lgu0xTOew/HcxrC0shrcQEOe4WM0Rt9A5Tb3xYANyRABOCoGulrss9BWZYzNtlxxnkB08nw/pc+DJDF25i08rd3IF80K7X5a/NsNflV7v8ljOV3yLSok1oBRt6wKwU+DDVJOIHuJnhYdPCFbSIzfAA+CYWzt1lhvLvKYSzdsLv8Wa6CRFnfl2w0Ol6i8WCu7s7np4edOsWV+vjWazW2vc5rMgx86AszTZBRCt3OM0f7os0w69qI6EQbj0Av2WZ4Vq3hZncE4vFzMHyt/1mWFesN8xqB+PLLqx+y4IxO2BvL1vX5PupZmhPajGcFQRvtTeVMOxduw8mtjKVy8rdmQD/PWqCpf91ggANlZEymSXQaaMpoQ2mDPjVzWh8974C6LTJPPe1QHq/qkUuREREqvNthhk9Uz5af4AfLIirOuz4tTfebOimnbTbbrnJ1U1odgoKqs4kX1RUzKGkJJYuW8H4M8cSGVn7ZPM6BS4iLcETSbZel1hv2Naz+fS6/OeomQkZ4Owg+LEWPaUiIiL2ZqfBFXtt+ZKn+8NPXR3n9VPgIsezZcs2Nm7ezF8uubjWr6nTvdZSK6zNNbklf2RVfYg0B/9oCyFlJ9/dBaZ0dnOh/BYRETlZl7W2DcEH+DMHJu2uWu1VpCaBgQGkpaXX6TW1HpW4NBsu3WPmXnHWRWMBSgbW6b1FGqWgslyXB8p6XZ5INmVDm3qvS6nVcf4W5beIiMiJ+lsoZJXAtESz/EsWXLYXPusMnk38+1LqT35+fpV1VquVnJxcVq1eS6tWdbsYqXXgckeCqbj0RnuI8apjV41IE3N7W3ghxeS6lPe6XBN6/Nc1ZhvzTBlLMImUfXxd2x4REWna7gw3k5iWTyXwVYbJLf6gowsbJY3KO+++j6WaSV3c3d05Z/yZdTperQOXjXkwN9ZUIBFp7ppjr4t9b8vYQFMeXERE5GQ8EGF6Xp5LMcsfp5nKdD0xo3GkZRs39owq6yxY8PLyJDo6Cm/vupUurHXg0t4LjpUcfz+R5uL2tvBiiqmg1xx6XZTfIiIi9c1igWeiTfDy76Nm3ZtHYVy7YVyYsEzBSwvXvVt8vR6vTvO4PHQIunjDwFqWPhZpysp7Xe63n9elTdMcu1tYCr/bTdiq/BYREakvFgu83t7MA/RR2eTN86P64lNSyDmH1ri2ceJyaWnprF23nkNJyRQUFODr60NMdDT9+/clKLBud1JrHbi8kALJRTBkmxku413p4s0CZPav03uLNHq3leW6pJWYybY+SoVrm2Cvy7IcyC2r9tLZCzppUjkREalHbhb4b0fIKTUTfAN8324w3qVFjEne6MqmiQslHjzIt9/Nw9fHh/bt2+Hr60NeXj579u5l+46dTJ50AaFtaj9hXq0Dl/NaAcpvkRamcq/LE0km16Wp9brY57eMU2+LiIicAh4W+KQTXLAbfi4bnjy3w2l4lxRx2pFtrm2cuMSSJcuJiY7m3AnjcXe3TfRTUlLCdz/8yOI/l3LRBefV+ni1DlwejqpbQ0Wai+bQ66L8FhERaQjebvBlLPT+PYk9QZEAzO40Cu+SIgam7XZx66ShpaWnM2HoIIegBUxFsX59evPjT7/U6Xg1Bi4vpsBfW0O4p3leEwswLbxO7y0tUFOdSbdyrktT6nU5VgLLc2zLY9XjIiKNXFP9rhDDzw3+vuNHXu12HgkBYVgtFj6IHYNXaTG9M/a7unnSgEJCgjl8+Cgd2revsi09I4PAoHrMcfm/RBgRYAKX/0us+UAKXKQ5u92u12VvIXyYCtc1kV6X37OgvCBgf18zh4uIiMip5FtSyC3bf+Dl7ueT7NeaUjd33u16Jn/f/iPxxw66unnSQIYPG8rPv8ynuLiYrl1i8ff3Iz8/n737DrBy1WpOP20Yh48cqdi/bVhYjcer8RKmdKDz5yItTaA7/F843GeX6zK1ifS6/GqX36JqYiIi0lACivO5bdv3vNTjAo76tKLYzYO34s7m1m3f0zn7OEN5pFn45tvvAVi9Zi1r1q6rWG+1WgH4/Y/FFcsWi4Vbb76xxuPp3qtILd3WFp5vgr0u8+3yW8Ypv0VERBpQq6Jcbtv6HS/1uJAM7wAK3T35d/wEbt/6Le1yU13dPDnFJl14fr0eT4GLSC01xV6XpCLYnG+ee1nM0E8REZGG1KYwm9u2fcfLPS4gy9OPPA9v3ug2kTu2fENEfoarmyenUHS0rbpXUVERhUX/3959hzdVtg8c/ybdC2hLB3tT9l6yEUVZIkMBFZWh+CrKi8h4FUEURESGLH+obBmWjYIoKnsje5ayR0vp3m3aPL8/DgkNLbKbwf25rl4m5zw5PLfnJDl3nmXA3c0t12D9eyWJixD3wTTDWMzNVpcFMdDXhltdcra2NPYCrwf7nBBCCCEeSlB6Au+eWsfUyi+Q5uxGsosHMypryUvhjKS7H0DYrUuXr7B7915uREebtwUGBNCgfl1Klco9aP/f6B915YRwZD5O8FHwredjIsCgrFefu5HxLUIIIWxF8dRY3j21HtdsAwDxrt5Mr9SBeBdPK9dMPC6XLl/h13W/odfradrkKdo88zRNGjcCHfy6fgOXLt9l9q/bSOIixH16LwD8b7ZcXLjZ6mKLlJLxLUIIIWxL6ZQo+odtwMWYBUCMewFmVO5AkrO7lWsmHoc9e/ZRtkxpunV9kZo1qlOhQnlq1azBS107U65sGfbt++e+jieJixD3Ka9Wl0yj9epzJ2EZcEX7UYsCeqjnZd36CCGEEAAVE6/R58xG9EZtsv5ID19mVmpHqpOrlWsmHrWY2FgqV66U577KlSsRnaP72L2QxEWIBzDg9laXWOvWJy9/5mhtaeUDzjY8iYAQQognS7X4S7xx9m90Svvl74pXAP8X0pYMvQy/diSenh4kJyfnuS85ORlnF5f7Op4kLkI8AG8nGJKj1WWsDba6yPgWIYQQtqxO7DleObfV/Py8TzDfV3wOg05mknEU5cqWYfeevVy+bSzLpctX2L1nH+XKlrmv40laK8QDei8AJkRqM4yZWl362cgMY1kKNkniIoQQwsY1ij5NupMLK0o3ASCsYHHmVniGvmc24qRs7BdBcd8a1K9HZGQUa35Zh6urK56eHqSmpmEwGAgMDKDxUw3v63j53uJyNgM6hoPvISh+BAZfhvSb12X/i6D7x/Jvyr8srBoaC+WPgecB6BQOUYZb+3YkQ7mjEHAYfrhh+brBl2G+jQ6oFvbDlltdDqRCgtZ1mKIuEOJm3foIIYQQd9Ly+jE6XN5rfn7UtzQLy7bEiPRxtncuLi506fwC7ds9R9UqlSlapAjVqlamXds2dOvyIq6u9zeuKV9bXDKNWtJSxR12hkBUFvS5oO2bWAKOp8GEYvCa/63XFLhDa+G+FHjjAnxXEup4wsDL8PoF2FBB2z/gErwVAPU9oUM4dPaFws4QaYC/kuDr4o8xUPHEeC8AvrkO0Vlaq8v8GO26s7ac41ue8QGdfPYLIYSwYW2uHSTdyYU/i9YG4J/CFXAzZtHj/FZJX+ycTqejTOnSBAQEkJGegYeHO56eDzYFdr4mLntTITwD9lbSfq2uDHxRDD68rCUuJ9NhjBcE38M4nWlR0NUX3rzZNWdBGSh5FMLTobw7nEqHLoWgojsUcoJzGVriMi5SW/3cSd4F4hHwdoIhQTDsqvZ8bCS84Q+uVh49JuNbhBBC2BMd8MLlvWQ4ubItqCoAOwMr45adSedLuyV5sWMnTpzinwMHSUy6dXPiW6gQDRvWt+0xLiFusL68drNnogPis7WWkNhsCLnHabx3p2gJiEkJVyjlCrtStMSlpKvWXcZNB3HZUNwFrmbCliSYJK0t4hF6NwAm3Gx1uWgDrS6pRq2rpIms3yKEEMIe6IBuF7aToXdmb0AIAJuK1CQbPUa9nv3+FUh3csE920C9mDM8HXGEgIzEfz+og8rOzubnZSto1qQxJUpoN7bp6els2rKNS5cu4+7uRoP69ahcKeSOx7hy9Srbtu0kITGRwMAAnm7VgkIFCwIQFxfHhj/+JDk5mRrVq9OwQT3z6w4fOUZGRjoN6te706HNjh47zpat2ylfriwNGtTDw92dtLQ0zp6/wIbfN/J8m2coV67sPcedr78LB7hY/vprVDA9Stt2Ik3Loj69CsWOQM0TMO9fpnaOMGh993MKcoYrmdrjr4pp3dDKHYOhwVDUFb6M1B5La4t4lEytLiZjI6071mV7MmQq7XFld+3aF0IIIeyBHnjl3BZqxZ4zb9tapDo7AiuT7uwKOh3pzq7sDKjEV9W7cbxgCetV1kqysrL4/Y8/iY2Ns9j+59+bSU9Pp2uXTtSvV5fNW7YRERGZ5zGSkpJZt/53QkIq8HK3Lnh5erJ+/e8opd1A7Nq9l6JFi9DphQ4cPnKU6OgY8799/MQJataofk91PXjoMLVq1uD5554lpGIFSpYsQUhIRdo934bq1aqy154WoPzwChxMhfHFtG5iADU94bfy0Lcw9L8Ey+Lyfm2qEdxuq72bHjJu3rB19oWYWhBdEz4vCpcztV+he/jCx1eh5BHocU47jhAP690ArSsiaK0u86w4+cNft41vEUIIIeyJE4rXw/+iXOI18zals7zpM+qdyHRyYU6FZ7nh9uT0iY6NjWP5itUkJFq2NCUkJHDhwkVatWxOYX9/qlSuREjFChw9djzP45w4eZLC/v7UqV0LPz9fnm7VgqTkZK5c0fq+x8XFU6ZUKQIDAvD1LURcfDwAx46foEL58ri53dusP6mpaZQskXdXp9KlS+WK426skrgopQ2mnxEFS8pCVQ/txu96TXg/EGp4wgeB8HZh+O5G3sdw10PGbUlHhhE8c0TkoYdCN28mx0bA8GDYkwJLYuF4VW3K2GlRjydG8WTxdoKhNtLqIuNbhBBC2DsXZSQoLV67afwXWTo9m4Lv7dd/R3D12jWKFStKty4vWmyPvB6Fp6enuasXQJEiwURez/tGNzIyiqJFb02N6uLiQkBAYSKva9P5evt4cyM6moyMDBITE/Hx9sZgMHD8xElq1qh2z/UtUaI4p8PO5Lnv/IULFCta5J6PBVZIXIwK+lzUEpKfy0KnQtp2nQ78bhtxU9ldG5eSl2IuEJlluS0yC4rkMbD/YoaWsLzsq42BaegFPk7aTd3ulIcOSQjAstXlkpVaXaKztFZMACeghbS4CCGEsFMH/MvfdVpMo96JfYUr5lONrK96tao0a9oYl9tWnE9NTcXLy3KmLk+PO69an5KaipeXVx7ltRvjBvXqcuDgYX6cM5+SJUsSHBzE0WPHCalY4b6mMC5VsgQXLl5i+crVHD5yjPDwsxw7doJf1v3GsWMnKFzYn4OHjnDw0BEOHT5y1+Pl+wKUg6/A4lhYWRY6FMqx/TKczoBfy9/adjANKt1hsH4jL60vv2nBv8uZ2s1iI6/cZb+IgP8Fg16nDfwy/RCepe6ayAtxz7xutroMzTHD2Jv5PMPYpiQwXdINvKCgLD4shBDCTqU73cM0s0DGPZZzZFlZWTg5WX7pOzk5YTQaUUqhuy0BvFP57GxtEbgiRYLp82YvMg0GPNzdMRgMnDx5mpe6debI0WMcPHQY30KFeKb103h6etyxXpu3bAMgMvI6kZG5F2f858Ah82OdTketmjX+Nc58TVx2J8OUKBhXDOp5aTOJmXQsBFPCYGoUtC8IvyXAghj462YSnWnUZh0LcNYG1/8nAFqEQRMvaOStdT1rWwAq3JbonMvQZhf7oZT2vJ4nfBUJh1NhVbyMARCPlmmGsRtZWiI9Nwb65+MMYznHt8hsYkIIIeyZe7ZBG5B/F27ZhruWcXQ5kw6T7OxsnJ2dcyUtAM53KO/ufutG2snJCY+byc2Ro8eoVKkimZmZ7N6zj1df6c6Bg4fYu28/LVs0u2O9Brzb/2HCyiVfu4otj9f++7+rUOSI5V9Tb1hSBr6/AVWPw8wb2vOm3tprdqZo5S7f7Dr2lLeWjIyJhKdOab8szy+d+9/8IgI+LnKrpbGZD/T0g+anwUuvjakR4lHxun2sS0T+jnWR8S1CCCEcRb2YM+iN2f9aRm/Mpn50WD7VyHZ5eXmRmppmsS0lNfWOCz1q5VMttqWmpeXqbgaQmZnJyVNhVK9ejevXo/D1LYSXpyclSxQ3j4nJL/na4vJNce3vTl720/7y0tIHVF3LbW/4a3//Zm7p3NumlND+hHgc/hMAX99sdblsyL9Wl/MZcDZDe+ypz7vbpBBCCGEvno44wt7CFcnkzv2enZWRVpFH87FWtik4KIiUlBQSE5MoUEDrchEREUlwUN6/0AcHB3L1WoT5ucFg4MaNaOrVrZOr7OEjx6hSOQRXFxfQ6cxTJhuN6lb/9Hxi5fW9hXA81mp1+StHa0tz79zThQshhBD2JCAjkT5nNuKabcjV8qI3ZuOabaDPmY1P7CKUORUsWICSJYrz519/Ex0dw4mTpwg7E0716lUBMBqNpKSmmruHVa5UievXo9i//wCxsXH8vWkLPj7elChezOK4GRkZnA4Lo3o17TgBhQsTGxtHREQk4eFnCbpDYvS4yK2NEI/BfwK08Vhwq9Xlcfsz5/ot0k1MCCGEA6iacJnhR5fTJOok7lmZ6JTCPSuTJlEnGX50OVUTLlu7ijbjmdZP4+rmxrIVq9i3/wBPt2xOkWBtyuPk5BTmzltIxM0B8gUK+NDu+TacCjtD6PKVpKal0b7tc7nGwxw+cpQqlSubZzErUMCHBvXr8uv6DSQmJdGg/m3doR4znVIyr5bIP9NnzrJ2Fe7bgw4s+yYShtycYayEC5yp9vhaQYwKgo9o3dMADlaGWnl3axVCCJv3JH1XOCo5h+JxkBYXIR6T/wRAYD61uhxNu5W0FHaGGneemVAIIYQQwi5J4iLEY+LlBENvLUrLlxGQ8ZjGuuScTay1j7ZmkRBCCCGEI5HERYjH6J3C+dPqIuNbhBBCCOHoJHER4jG6vdVl7GNodck0wtbkW89l4UkhhBBCOCJJXIR4zHKOdbligDmPuNVldwqk3kyGyrpCGbdHe3whhBBCCFsgiYsQj5mnHoY9xrEuOce3SDcxIYQQQjgqSVyEyAfvPMZWFxnfIoQQQogngSQuQuSDx9XqkpgNe1O0xzqglYxvEUIIIYSDksRFiHzyTgAE5Wh1mR398MfckgTZNx/X8tDWcBFCCCGEcESSuAiRT3K1ukQ+fKuLjG8RQgghxJNCEhch8lH/HK0uVx9Bq4uMbxFCCCHEk0ISFyHyUV6tLukP2OpyLRNOpGuPXXXQ1Pvh6yeEEEIIYaskcREinz2qVpe/cnQTa+ylJUVCCCGEEI5KbnWEyGeeehieo9Vl3AO2uvwl41uEEEII8QSRxEUIK+gfAMEP0eqilIxvEUIIIcSTRRIXIazA47axLvfb6nI6Q0t4AAo6QV3PR1s/IYQQQghbI4mLEFZye6vLj/fR6pKztaWVDzjrHm3dhBBCCCFsjSQuQliJx0OMdck5vqW1z6OtlxBCCCGELcr3xOVsBnQMB99DUPwIDL5862btYga0CQOvg1D5OPyW8O/HCo2F8sfA8wB0Cocow619O5Kh3FEIOAw/3LB83eDLMD/mkYYlxAN5O0ery7V7bHXJUrBJBuYLIYQQ4gmTr4lLplFLWtx0sDMEFpWB1fHwyVVtsHGns+DvDPsqwRv+0PUsnM/I+1j7UuCNCzAiGHZXgsRseP3Crf0DLsFbAbC0DHxwGaKztO2RBu3X6tf8HnOwQtyDB2l1+ScVErK1x8VcIMTt8dVPCCGEEMJW5GvisjcVwjNgXmmo7AEtfOCLYrAoVvsF+XQ6fF8KqnhoN3ONve8829K0KOjqC28WhhqesKAM/J4I4TcX5DuVDl0KQesCUMgJzt1MgMZFwkdB4CRjAoSNeDsAirhoj68Z4Ie7tLrcPpuYTq5lIYQQQjwB8jVxCXGD9eXB2+nWNh0Qnw27U6C2J/jk2NfUG3al5H2s3SnQPMdK4SVcoZTrrfIlXeFAqtb9LC4birvA1UzYkgQ9pbVF2JD7bXWxSFxkfIsQQgghnhD5mrgEuFj2xzcqmB6lbYswQFEXy/JBLnAlM+9j5Vne+Vb5r4pBnwtQ7hgMDYairvBlpPZYWluErXmr8K1Wl4h/aXVJNcLOHMn805K4CCGEEOIJYdVZxT68AgdTYXwx7YbM7bbauOkgQ+X92jzL62+V7+wLMbUguiZ8XhQuZ2oD9nv4wsdXoeQR6HFOO44Q1navrS7bkyHz5jVexV1LyIUQQgghngRWSVyUgoGXYUYULCkLVT3AXQ8Zt92oZSjwvEMN8yxvtCzvoYdCN2dsGhuh3RjuSYElsXC8qjY707SoRxeXEA/j9laX7/Nodbl9fIsQQgghxJMi3xMXo4I+F+G7G/BzWehUSNtezEWb8SunSMOtG7nbFXOByKzbymflXf5ihpawvOyrjYFp6KWNpXmmgDZWRghbcHury1eRkHZbci7jW4QQQgjxpMr3xGXwFVgcCyvLQhffW9sbecGhNEjJvrVte7K2PS+NvLT9Jpcz4VJm3uW/iID/BYNep00GYLoXzFJa648QtuLtfxnrEp0FB9O0x05os/IJIYQQQjwp8jVx2Z0MU6JgdFGo56W1qJj+Wvhos4K9eQGOp8H4SK015K3C2mszjVq57JuJxn8CtATohxtwNE1b06VtAajgbvlvnsvQZhd76WaSVM9Tm1nscCqsitdaX4SwFe56Lck2ydnqknPRyQZeUMAJIYQQQognhnN+/mPL47X//u+q9peToQ6sKQd9L0Ldk1DODVaVg9I3F9fbmQKtwuB8NW3bU97wQykYeQ1isuDZAvB9ydz/5hcR8HGRW2tdNPPRpkNuflpLlt4PfGzhCvFA3iqsDc6PMNwc63IDBgbZzviW6TNnWe8ff0AD3u1v7SoIIYQQ4iHla+LyTXHt707Ku8OWkLz3tfQBVddy2xv+2t+/mVs697YpJbQ/IWyRqdXlg8va868itUUqZXyLEEIIIZ5kVp0OWQiRt7cK31qnKDILCh6CczfXKHICAvL1JwchhBBCCOuTxEUIG+SuhxcK3npuyDGJhBGodwp+S8j3agkhhBBCWI0kLkLYoLMZsCA2730KbeHUbue0ckIIIYQQTwJJXISwQROvg8H472UMRph8PX/qI4QQQghhbZK4CGGDfooBw13KGICFMflRGyGEEEII65PERQgblHyX1pb7LSeEEEIIYe8kcRHCBnnf4zvzXssJIYQQQtg7mVTVxsjifgLgNX/48ca/dxdzAXrdZR0jIYQQQghHIb/XCmGDBgeBy13enS56GBSUP/URQgghhLA2SVyEsEHl3GB5WfDUay0rObmgbV9eVisnhBBCCPEkkMRFCBvVtiAcqQJvB0ABvfZmLaDXnh+pou0XQgghhHhSyBgXIWxYOTeYXlL7E0IIIYR4kkmLixBCCCGEEMLmSeIihBBCCCGEsHmSuAghhBBCCCFsniQuQgghhBBCCJsng/OFECKHJ2ER2CchRiFsmbwHhXgw0uIihBBCCCGEsHmSuAghhBBCCCFsniQuQgghhBBCCJsniYsQQgghhBDC5kniIoQQQgghhLB5VktcMoxQ7Tj8mXhr27gI0P1j+fffy3c+xqYkqHECPA9Ay9MQnn5r36l0qHkCfA/BZ9csXzctCkbftk0IIYQQQghhu6ySuKQboed5OJ5uuf14OnwQCBE1bv19UTTvY1zOhBfC4TU/2F8Zgl2g01kwKm3//65Cc2/4qyJMvg5HUm/927NuwH+DHl98QgghhBBCiEcr3xOXE2nQ6BSczch7X20PLQkx/fk45X2cH6KhpgcMDYYqHjCntJbM/J2k7T+VDh0LQR1Pbf+pm0nSdzeghx8UvMNxhRBCCCGEELYn3xOXLcnQygd2VbLcblRwOgNC3O/tOLuTobnPreeeei1J2ZWiPS/pCgdSIT5LS5JKukKqUUt4Pgh8NLEIIYQQQggh8odzfv+D/wnIe/uFzFuJRY/zWiLSxx8GB4Fel7t8hAGKulhuC3KBK5na41FFoEM4fHJV607WyBsmRGqPC0hri3iMZEVkIYQQQohHL98Tlzs5ebMrVzEX+LW81loy8ObA/CHBucunGsHttoTGTQcZN8e4NPaGyBqQZAR/Z0jJhjkxsLcSTI+Cb65DJXdYUBoCXXIdXgghhBBCCGFDbCZxaV8QomtqSQZAdQ+IzoIZUXknLu76W0mKSYYC/xytKa568L/ZGW7aDXjDHxKyYcQ1OFUVvo6EUdfgu1KPJyYhhBBCCCHEo2FT67j435ZGVXaHa4a8yxZzgcjb9kUaoEgerSdJ2TAvGgYEwN4UraUl2AXaFIDdKY+m7kIIIYQQQojHx2YSl2+va2uy5HQw9c6D9Rt5w/bkW89TjVr5Rl55HDsK+hQGbyfQcWvK5CwFKndxIYQQQgghhI2xmcTl+YJwJl1bfyU8HRbHwvhIGHazm1i20lpUMo3a8z7+sCcFxkZo0yj3vaDNHNbax/K4CdmwMAbeuzkpQG1POJYGO5Ph5zhomEeiI4QQQgghhLAtNpO4hLhrg/L/TNRaXkZchfHF4RU/bf/lTChyBHbe7NpV2g1WltOSknon4XoWrCmfewayKdfhrcLg5XTrdaOLajOOXciEz+6wwKUQQgghhBDCdlh1cL6qa/m8dQHYVyDvsqXdcpdvW1D7+zej8khMhgTnPeBfCCGEEEIIYZtspsVFCCGEEEIIIe7EZqZDFkIIIcTd2eMityAL3QohHp60uAghhBBCCCFsniQuQgghhBBCCJsniYsQQgghhBDC5kniIoQQQgghhLB5MjhfCCGEEEIIOxB2Jpw/Nv5lsa1MmdK0b/tcrrLR0TFs2rKVmJhYfH0L0bJ5M4KCAgFISU1lw+8biY6OoUKFcrRq0RydTlsM8fyFC5w9d55nnm71+AO6T5K4CCGEEEIIYQdiY2MpW6Y0LVo0M29zdnLKVc5gMLD21/VUKF+O1q1acvzECX5d/xu9Xu2Jq6srBw4cwsPdnZe6duaXdb9x4cJFypQpDcD+/Qdp82zrfIro/khXMSGEEEIIIexAbGwc/v7+eHl6mv/c3NxylTsTfhYnvZ6mTZ7Cz8+Xpk0a4+rqypnwswDExcdTsmQJ/Px8CQ4KJC4+HoCz587j7+9HwYJ3WBHeyiRxEUIIIYQQwg7ExsXj61voruUir18nuEiwufuXTqejSHAwkZHXAfDx9iY6OoasrCxiY+Pw9vZGKcX+fw5Qr26dxxnCQ5GuYkIIIRyKPS7QKIszCiHuJjs7m8TERC5cuMiePftQQPlyZWnYoB5Ot3UXS01JpVChQhbbPD09uBEdA0DtWjVZvfZXjp84SbFiRSlXtgxnz54jIKAwBQr45FNE908SFyGEEEIIIWxcfEICRqMRZxdn2j7fhoSEBLZt34nBkEmL5s0symZlZeVKZpycnMjOzgagUKGCvP5aT9LTM/D09EApxT8HDtG2bRvCz55j1+49uLu782zrpylUqGC+xXg30lVMCCGEEEIIG+fv50ffPm/wdMsWFC7sT7lyZWnatDHHT5zCaDRalHVycjYnKSbZ2dm4ON9qs9Dr9Xh6egDamJjAwAA8PTzYtHkrbZ9vQ8UK5dm6fcfjD+w+SOIihBBCCCGEHfBwd7d47ufri9FoJC0tzWK7l7cnqampFttSUtPw9PTMdUylFAcOHKJe3drExsXhpNdT2N+fkiWKc/369UcfxEOQxEUIIYQQQggbd/bsOWbPXWDRknIjOho3N9dcCUlwUBCR16+jlAK05CQyIpLg4KBcxw0LO0NwcBA+Pj7o0KHQXmM0Km6+3GZI4iKEEEIIIYSNK1qsKKDYtHkrcfHxXLhwkR07d1O7Vk10Oh0pqalkZWUB2qB9g8HA1m07iI2NY/uOXWQaDFQoX87imEajkX8OHqZe3dqANvYlO9vIufMXOB12xrxgpa2QxEUIIYQQQggb5+Huzgsd2pOUlExo6Ao2bdlKtapVqFtHSzrmzltoXqfF1dWVDu3aEhl5nZ+XrSAiMpKO7dvi6upqcczTYWcoVrQI3t7eALi4uNCieVM2bd7CxYuXaNakcf4GeRcyq5gQQgghhBB2ICCgMJ1f7JjnvtunVQ8KCqT7y13/9XiVK4VQuVKIxbaQihUIqVjh4Sr6mEiLixBCCCGEEMLmSeIihBBCCCGEsHmSuAghhBBCCCFsntUSlwwjVDsOfybe2habBS+dhQIHofRRmB/z78fYlAQ1ToDnAWh5GsLTb+07lQ41T4DvIfjsmuXrpkXB6Nu2CSGEEEIIIWyXVRKXdCP0PA/H0y23v3kBYrJhRyUYWQT6X4SdyXkf43ImvBAOr/nB/soQ7AKdzoLx5nzT/7sKzb3hr4ow+TocSb31b8+6Af/NPY21EEIIIYQQwkble+JyIg0anYKzGZbbz2bALwnwfUmo7gF9CmtJycwbeR/nh2io6QFDg6GKB8wprSUzfydp+0+lQ8dCUMdT23/qZpL03Q3o4QcFnR5XhEIIIYQQQohHLd8Tly3J0MoHdlWy3L4nBYq4QHn3W9uaesOuO7S47E6G5j63nnvqtSRlV4r2vKQrHEiF+CwtKSrpCqlGLeH5wLbW0hFCCCGEEELcRb6v4/KfgLy3RxigqIvltiAXuGK4z/KZ2uNRRaBDOHxyVWu5aeQNEyK1xwWktUUIIYQQQgi7YjMLUKYawU1nuc1NB5kKlAKd7t7KZ9wc49LYGyJrQJIR/J0hJRvmxMDeSjA9Cr65DpXcYUFpCLwtARJCCCGEEELYFpuZDtk9R9JhkqHAQ5c7aQFw1+dd3jNHRK56LWkBmHYD3vCHhGwYcQ12V4Iq7jBKZhcTQgghhBDC5tlM4lLMFSJv6xYWadDGveRZ3uXeyydlw7xoGBAAe1O0lpZgF2hTAHanPJr6CyGEEEIIIR4fm0lcGnnBVQNcyDHb2PZkbWxKnuW9tf0mqUY4mKod53bfRmmzlHk7gY5bUyZnKVC5iwshhBBCCCFsjM0kLmXd4LkC8PoFbc2VudGwKFZrJQHIVlqLSqZRe97HX5uJbGyENsVy3wvazGGtfSyPm5ANC2PgvZvHqe0Jx9K09WF+joOGeSQ6QgghhBBCCNtiM4kLaAPlCzlBw1PweQT8WAqeutnicjkTihyBnTe7dpV2g5XltKSk3km4ngVryoP+tvEwU67DW4XBy+nW60YX1WYcu5AJnxXNt/CEEEIIIYQQD8iqs4qpupbPA11gbfm8y5Z2y12+bUHt79+MyiMxGRKs/QkhhBBCCCHsg021uAghhBBCCCFEXiRxEUIIIYQQQtg8SVyEEEIIIYQQNk8SFyGEEEIIIYTNk8RFCCGEEEIIYfMkcRFCCCGEEELYPElchBBCCCGEEDZPEhchhBBCCCGEzZPERQghhBBCCGHzJHERQgghhBBC2DxJXIQQQgghhBA2TxIXIYQQQgghhM2TxEUIIYQQQghh8yRxEUIIIYQQQtg8SVyEEEIIIYQQNk8SFyGEEEIIIYTNk8RFCCGEEEIIYfMkcRFCCCGEEELYPElchBBCCCGEEDZPEhchhBBCCCGEzZPERQghhBBCCGHzJHERQgghhBBC2DybS1yWxILuH8u/F8PzLns4FZ46BZ4HoO5J2Jdya1+kAZqdhgIH4e2LoNStfb/EQ+8LjzMKIYQQQgghxKNkc4nL8TToXAgiatz6m1c6d7mUbGgbDo284J/K0Mwb2odDUra2f3wkBDjD7kqwMRF+Sbj12jER8GmR/IhGCCGEEEII8SjYXOJyIh1qeECwy62/Qs65y/0cBy46mFgcKnvA5OJQ0EnbDnAqHZ4vAFU8tOTmVLq2fVUcVPeAsm75F5MQQgghhBDi4dhe4pIGIe53L7c7BZp4gV6nPdfpoIk37ErWnpd0hYOpkG6E4+nac6VgbCSMkNYWIYQQQggh7IpNJS6ZRjibAb8mQPljUO4oDL8CGcbcZSMMUNTVcluQM1wxaI8/CoJ1CeB1EAKdoasvLI+HOp5QWlpbhBBCCCGEsCt5dMKynjMZkAV46WFFWS2JGXgZkowwo6Rl2VQjuOkst7npbyU5FdzhfHWIyYJAFzAqGBcBq8rB8jj431Uo7AwLSmtlhRBCCCGEELbLphKXqh4QXRP8b9aqpicooOd5+LYEOOdIVNx1kKEsX59hBM8cbUhOOi1pAQiNgwZe2vO3L8KWENiUBB9cht8qPNawhBBCCCGEEA/JprqKwa2kxaSyOxgU3Miy3F7MVZvyOKdIAxRxyX1Mo4KvIuHjInAyHVx12gD9NgW0sTJCCCGEEEII22ZTicvKOAg6rI11MTmYCoWcIPi2hKaRF+xMvrU+i1KwI0XbfrvFsdDYWxugrwNMh89SWouOEEIIIYQQwrbZVOLSwkdLJN6+BGHp2uD6IVdhSJA2a1ikAdJuZh3dfCHZCO9f1mYi+/CKtoZLDz/LY2YrbU2Xj4O15xXdtC5la+JhUSw0zCPREUIIIYQQQtgWm0pc/J3h9wpwMQPqnNTGorxTGP53M+kocgR+jtUeF3CCdeW1Vpc6J2FHMqwvDz5Olsf8KVZLiIrfnIHMywlmloS3LmqJ0ZTi+RefEEIIIYQQ4sHY1OB8gNqesCkk732qruXz+l5woMq/H+8Nf+0vp1f9tT8hhBBCCCGEfbCpFhchhBBCCCGEyIskLkIIIYQQQgibJ4mLEEIIIYQQwuZJ4iKEEEIIIYSweZK4CCGEEEIIIWyeJC5CCCGEEEIImyeJixBCCCGEEMLmSeIihBBCCCGEsHmSuAghhBBCCCFsniQuQgghhBBCCJsniYsQQgghhBDC5kniIoQQQgghhLB5krgIIYQQQgghbJ4kLkIIIYQQQgibJ4mLEEIIIYQQwuZJ4iKEEEIIIYSweZK4CCGEEEIIIWyeJC5CCCGEEEIImyeJixBCCCGEEMLmSeIihBBCCCGEsHmSuAghhBBCCCFsnrO1K3C7DCO8fxmWxYGbDj4MgqHBeZc9nArvXNL+W9kD/q8k1PfS9kUa4KVz2r4efjCrJOh02r5f4mFlPMwtnQ8BCSGEEEII8QhkZ2ezZdt2zp49h5PeiVq1alCndq08y0ZHx7Bpy1ZiYmLx9S1Ey+bNCAoKBCAlNZUNv28kOjqGChXK0apFc3Q3b5TPX7jA2XPneebpVvkV1j2zuRaXIVdgVzL8WQFmlYIxEbA0Nne5lGxoGw6NvOCfytDMG9qHQ1K2tn98JAQ4w+5KsDERfkm49doxEfBpkfyJRwghhBBCiEdhx87dREZG0aljB1q2bM6+/QcIOxOeq5zBYGDtr+sJDgri5W5dKFokmF/X/0ZmZiYABw4cwsPdnZe6duby5atcuHDR/Nr9+w9Sv27dfIvpfthU4pKSDT9Ew+QSUNcLOhXSWlumR+Uu+3McuOhgYnGttWVycSjopG0HOJUOzxeAKh5acnMqXdu+Kg6qe0BZt3wLSwghhBBCiIdiMBg4fuIkzZo8RWBgAGXLlKZO7VocPXo8V9kz4Wdx0utp2uQp/Px8adqkMa6urpwJPwtAXHw8JUuWwM/Pl+CgQOLi4wE4e+48/v5+FCxYID9Du2c2lbgcToMMBU29b21r6g37UiFbWZbdnQJNvEB/s/uXTgdNvLXWGoCSrnAwFdKNcDxde64UjI2EEdLaIoQQQggh7Eh0dAzZ2dkUKXJrDEWRIsFcj4rCaDRalI28fp3gIsHm7l86nY4iwcFERl4HwMfbm+joGLKysoiNjcPb2xulFPv/OUC9unXyL6j7ZFNjXCIM4OcE7jnSqSBnyFQQlQVFXCzLhrhbvj7IGQ6laY8/CoLWYfB9NLTyga6+sDwe6nhC6X9pbUlPT+fYsWOPLKb7de3qFav92w9q//7991zW0eMDx49R4rM9co1akvhsk6PHKPFZehJifJSqVauGu7v7v5ZJSU3F3d0dZ+dbt++eHh4YjUbS0tLw8vIyb09NSaVQoUIWr/f09OBGdAwAtWvVZPXaXzl+4iTFihWlXNkynD17joCAwhQo4PPoAnvEbCpxSTWC221tQKbnGcY8yupylzWVq+AO56tDTBYEuoBRwbgIWFUOlsfB/65CYWdYUFora3Ls2DFeffXVRxqXo1uxPNTaVXisHD0+cPwYJT775+gxOnp84PgxSnz2z5oxLlq0iHr16v1rmaysLJycLG+UnZycAMjONuZR1ilX2exsbTB4oUIFef21nqSnZ+Dp6YFSin8OHKJt2zaEnz3Hrt17cHd359nWT1OoUMGHDe+RsanExV2fO0ExPfe8LaFx12ndym4vm7Ock05LWgBC46CBl/b87YuwJQQ2JcEHl+G3CrdeU61aNRYtWvRoAhJCCCGEEOIuqlWrdtcyzk5OuRIUUyKSsxUGwMnJ2bwvZ1mXHOX0ej2enh6ANiYmMDAATw8PNm3eSucXO3L16jW2bt/BCx3aPVBMj4NNJS7FXCAuGzKN4HozAYnM0lpW/G6raTFXbcrjnCINlt3JTIwKvoqEteXhZDq46rQB+i46GHXNsqy7u/tdM14hhBBCCCHyk5eXFxkZGWRnZ5tbU1LTUnFycsLd3XIchJe3J6mpqRbbUlLT8PT0zHVcpRQHDhyifbvniI2Lw0mvp7C/P056PXv3Wa/7XF5sanB+LU8tqdiZcmvb9mSo6wnOt3ULa+QFO5O1Afeg/XdHirb9dotjobG3NkBfB5hy1SwFKndxIYQQQgghbErhwv7o9Xoibg6wB4iIiCQgoDB6veUtfXBQEJHXr6Nu3igrpYiMiCQ4OCjXccPCzhAcHISPjw86dKibd8dGozLfZ9sKm0pcPPXwhj+8ewn2psDaePgmEgZqa+UQaYC0m1lHN19IvrlY5Yk0+PCKtoZLDz/LY2YrbU2Xj29OwFDRTetStiYeFsVCwzwSHfFkUjnencrW3qmPgKPH9yRw9HPo6PHBkxGjsG9yjdouFxcXKoVUZMvWbVy/HsX58xc4eOgINWtUB7TB+1lZWQCUL1cWg8HA1m07iI2NY/uOXWQaDFQoX87imEajkX8OHqZe3dqANvYlO9vIufMXOB12xrxgpa3QKRu7KlON8J+LsCIeCjjB4CDtD0D3D8wtBW8W1p7vS4H+F+FEOtTwgO9Kauu/5DQ/Ris3veStbYtiYNAVCHaBn8to68AIERUVhYuLC76+vtauymORkJCAh4cHrq6ugPaFZJom0VEYDAZcXG71FzUajbl+hbJnqampFs38jhbfk3CNOvo5vP2cOeI5dPQYHf0atXcGg4HNW7dz7uw5XFxdqV2rBrVr1QRg+sxZtH66JZUrhQBw/XoUm7dsIzYuDn9/P1o2b0ZgYIDF8U6eOk1U1A1aNG9q3nY67Azbd+zE08OT59o8g5+f7dwX2VziImzH1q1bMRqNZGdn07p1a2tX57GaPHkyf/75JzqdDldXV0aMGEHFihXx9va++4vtwPTp09m6dSt6vR5fX18+/fRTihYtau1qPVJz587lyJEj6PV6qlevTq9evXBycnKYm4r/+7//Y8+ePTg5OVGqVCk++ugjPDwc51eXJ+EadfRzuGjRIs6ePYter6dhw4a0bt0avV5v0R/f3jl6jI5+jQr7Jym0yNP48eMZPnw43377LcOHD6dv377s3bvX3ATpSNauXcvSpUsZNGgQI0aMoFy5cgwfPpzFixcTGRlp7eo9tNDQUBYuXEivXr3o2rUrBoOBrl27sm7dOpKTk61dvUfihx9+4P/+7/8ICQnBycmJ33//nS5duhAdHe0QScv8+fOZO3cuzz77LNWqVeP06dO0b9+ew4cPW7tqj8STcI06+jmcOXMmU6dOxc3NjbCwMObPn8+7775rnpL19tmN7JGjx+ho16j8Lu+glBC3CQsLU23atFGHDh1SSUlJKj4+XvXq1Uu99tprasWKFSojI8PaVXykZs6cqYYOHWqx7bvvvlOdO3dWU6ZMUZGRkVaq2aMxZswYNWbMGItto0ePVq1atVKhoaEqJSXFSjV7eEajUWVkZKh+/fqpBQsWmLefO3dOvfbaa6pVq1bqwoUL5rL2xmg0quzsbPXhhx+q6dOnm7enp6er999/XzVo0EDt2LHDijV8NBz9GnXkc2g0GlVycrLq2bOnWrlypVJKqaysLLV161bVtWtX1aFDB5WZmamUUio7O9uaVX1gjh6jI16jOT/vd+zYYXf1F3cmLS4il5SUFBITEwkMDMTb25uCBQsya9YsihQpwqpVq/j9998dquXF09OTEydOEBsba972zjvv8MILL7BlyxY2bNhARkaGFWv4cDw8PDh37hxpaWnmbSNHjuS5557ju+++Y+fOnYB9/jpl6trn7OxMYmIioMVRpkwZvvvuO8qUKUPfvn1JSkpCp9NhNBrvckTbotPp0Ov1uLu7ExERgVIKpRRubm5MnTqV5s2bM3jwYE6dOgVgd/GZOPo16sjnUKfT4eTkhNFoNHeVcnJyokmTJowbNw4XFxe6d+9OdnY2er3ebs+hI8foaNeo0Wg0t7Tv3LmTGTNm8PPPP3P8+HEr10w8CpK4iFxKlSpFyZIl2bVrl/kD2MPDg88//5zAwEBCQ0MJCwuzci0fnapVq+Lh4cHmzZvJzMw0b3/zzTd5+umnmTt3LpcuXQLs88apUqVKREZGcvToUeDWYlXDhg2jadOmfPrppyQkJNh1l6rixYuzdu1a8xdWVlYW3t7eTJkyhcDAQPr162fXA0zLlCnD7t27uXr1KjqdznydTpgwgTp16vDBBx+QlZVlt/E9CdeoI59Dd3d3AgMDmT9/vnmbXq+nQoUKfPnll7i4uDB48GC7Hm/2JMToKNeoqX5ff/01U6dOJSEhgU2bNjFnzhz277etNUnE/bPtq09YhZeXF6VLl2bdunWEh4ebt7u7uzNmzBhSU1OZPn26FWv4aNWrV48aNWowc+ZM/vnnH4tfkwYMGEClSpWYPHkygF1+IbVr146yZcvyv//9j8uXL1v0xf78888pW7Ys06ZNs3ItH4wpkRwyZAiurq689dZbgLaCcFZWFj4+Pnz66afo9Xr++usva1b1ofTr14/g4GAGDBiA0WjE1dXVfFMxbtw4ChUqxIIFC6xcywfnyNeoiaOeQ9Pn5UcffURWVhYjRoyw2F++fHn69etHTEyM3f7i/STECI51jW7bto2VK1cydOhQfv75Z+bNm0daWhqrV6/m4MGD1q6eeAiSuAgLSilcXV0ZNmwYERERfP3111y9etW838PDgwkTJnDkyBFzs7E9M30hjRgxgipVqjB06FB2795t0WWlfv36Nt80fiemm79p06ZRtGhR3nrrLS5evGgx+03FihXtbgC06XzodDrzNTtq1Ciio6MZMGAAoCUvoP2KmJGRwenTp61W34dhOocTJ04kOzub7t27YzAYzFMGe3p64u/vb7cTSTjqNZqTI59D06/bwcHB9O7dmzNnzjB27FjzfmdnZ5566ikuXbrEoUOHrFTLh/MkxOho1+j169cpUqQIderUwcvLizp16vD2229z9uxZ5s6dy7Fjx6xdRfGAJHERFnQ6HdnZ2fj5+TFv3jxOnjzJqFGjOHHihLmMUoqCBQva5RSJt3f1Mk1jCTB16lTq1q3LZ599xqpVq7h8+TKAOXHLzMy06a5iBoPBoqsbYO6XDTBr1iwCAwPp3bs327ZtIyYmBoCsrCyys7PJysqy6fgA5syZQ0xMjEVXBVMrWM2aNRk0aBCXLl3i9ddfN58vd3d3ihcvbv4Cthem82a6gQ8KCmLy5MlkZmbSpUsXzp8/T0pKCs7Ozvj4+KCUwmg02vw5BMv3oaNdo99//725y5uJI55DuHWza/rx4JlnnqFjx44cPnyYYcOGmct5e3sTEhJil98ZT0KMYN/XaF4/LBYpUoSkpCSL92KtWrXo0aMHf/zxB4sXL+bIkSP5WU3xiMg6Lk+wS5cukZqaSrly5SwW7QPtRsHZ2ZmoqCj69etHQEAADRs2pHbt2mzZsoXff/+dxYsXExAQcIej25b58+dz+fJlTpw4QefOnalevTqVKlUCMH8Qmz64v/nmG44dO8bx48cpV64cZ8+eZeHChebytuiHH37g5MmTnDlzhq5du9KkSRMqVKiQZ9khQ4Zw7tw5EhMTKVq0KEePHmXp0qVUrFgxn2t9f7766ivmzZvHhg0bKF26dJ5lDAYDJ06cYPTo0SQkJFC1alVA6zawYsUKypYtm481vj/Lli3j6tWrxMTE8P777xMYGJjn2hCxsbEMGTKEK1eu4OvrS8GCBdm7dy/Lli2jfPnyVqr93a1Zs4b09HS6d+8O/PuiffZ+jf7222+UKVPmjuXs9Rz+8ccfJCYmotfradu2rcVNumkMWUpKCps2beKHH34gKyuLZs2aERMTw59//snq1aspVaqUFSO4O0ePccmSJURERBAbG8trr71G8eLFzeuV5XxP2ss1mnPsYlhYGL6+vnh6epKRkcG7775LtWrVePXVV83vx507dzJx4kS8vLyoWrUqw4YNs+txSU8iSVyeUBMnTmTz5s1ERkZSpkwZRowYQY0aNSzewKbkJS4uju+//56DBw8SExODh4cHX331FVWqVLFyFPdm+vTpLF26lP79+xMWFkZERAQpKSl88MEHPPXUU+ZyOW8SL126ZO4KV6VKFYoXL26Vut+LqVOnsnTpUj744ANOnz7N2bNnKV68OB999BF+fn7mcjnj27dvH+fPnycrK4smTZrY9BctwJdffsmqVavMCWTO69T0+PYvnx9++IHo6GgMBgOvvPKKTX3Z3m7ixImsWrWKxo0bEx4ezo0bN/jjjz/w8PC445fqL7/8wrVr18jMzKR9+/Y2nZSB1kf+jz/+4OOPP+bZZ58Fcicv9n6Nrl69mgULFtzzNWpP5/Drr79mzZo1FC1alPT0dOLi4hg3bhx169Y1r7Juis9oNJKYmMj06dOJj49HKcXbb79NSEiIlaP4d44e47fffsuSJUto1aoVV65c4cqVK7zwwgu88MILlCtXDsj9nrSXa3TChAmsWbMGgOeee453332X06dPM3r0aOrVq0ejRo2oUqUKX375JRUrVqRRo0a89957rFq16o4/8gkb9QinVhZ2YunSpapRo0Zq9+7d6tKlS6pjx45q2LBhFmVMc9FnZWWZn2dkZKiIiAiVmJiY73V+UCkpKapXr15q+fLl5m179uxRffr0Ua1atVK7d+82bzfNZW9Pbty4oXr27Km2bNli3hYaGqoaNGigjh07lqu86Xzakx9//FGFhISoqKioXPtuP195nUNbX7/l0qVLqnPnzurIkSNKKaViYmJUmzZtVHh4eK6yRqPR7s6h6f//tGnTVK1atdSLL76oVq1alWu/ib3Fp5T2ngsJCVFnzpyx2J6ZmanS09MtttnjObxw4YLq2LGjOnTokEpPT1fZ2dnqk08+UU2aNFFLly5VCQkJ5rJ5vd/sIV5HjzE5OVm9/vrr6o8//jBv++mnn9Trr7+uPvroI3Xy5Enzdnu4Rg0Gg/nx7t27VZMmTdSWLVvU1KlT1RtvvKEGDx6sYmNj1f79+9WHH36o6tWrpzp06KC6du2qMjIyVHp6unr55ZfV2bNnrRiFeBAyxuUJdOHCBbp27UrDhg0pUaIEXbt2JTMzkxUrVrBt2zaSk5PNYz9Mv37q9XpcXV0JDg7Gx8fHyhHcu/T0dE6dOmWxDkuDBg2oX78+165dY+zYsezZswe4NZf9+vXr7WadGoPBwOnTpy0mE3jppZcoWLAg27dvB3KPJ9iyZUu+1/NhmH7hO3v2LKC1BI4cOZL//Oc/dOvWjbVr13L9+nXg1jm0p4GXRqORq1evmtehcXZ2JiEhgcmTJ/PSSy+xYMECzp07B9xaT2Lv3r3WrPJ9Mf16e/78eUJCQmjQoAELFiww/zpqaokwscdrtEyZMuj1evM08QaDgY8++oi33nqL9u3bM2vWLPMMjfZ4Do1GI9evXyczMxM3Nzf0ej1jxoyhS5cuzJo1iz///NM8vs50vk3vV8Dmp88FrbXPkWM0GAycPXvW/DkD8Oqrr9KjRw/i4uJYsGABFy5cAGz7Gh05cqR5zA3A4sWLWbt2LT179qR58+a8//77vPTSS8TExDBmzBiKFSvGxIkTWbduHVOmTGHu3Lm4uroyffp04uLiKFiwoJUjEvfLtt9p4rFISkqyGGz/7bffcvLkSaZMmcI333zDgAEDiIuLMyctU6dOJTQ01FrVvW+mmyClFH5+frRs2dI8N71JxYoV6dixIw0bNmTZsmVER0cDcO7cOT7//HMiIiKsUvf7FRwcTI0aNbhw4QIZGRnmgaRubm6kpqYCllM4Hzp0iPfff5/IyEibGlz5b1q1asW7777LuHHjOHbsGIMHD+bChQtUq1aNihUr8t1337FixQpz8rZ+/XpGjhxJXFwcYPtTWPv7+/PUU08xZ84cFi1axKuvvkqJEiVo0KABNWvWZM2aNcydO9ecnG3bto1hw4Zx48YNuziHSinS0tIwGAx07dqV1157jdq1azN//vw8k5fDhw8zcOBAu7pG69Wrx4gRIxg1ahR79uxh5MiRREdH065dO9q0acOWLVuYN28eUVFRgP2dwwIFClClShXOnz9Pdna2+XPmww8/pF27duZxgSahoaGMGzfOPBOcLb8HTXUsVKiQw8YIWnxt2rRh69atFjODtW3bli5dunD58mV+//13DAYDYJvX6MmTJ8nKyrKYaOXChQusWLHCPJkOQPv27XnppZeIi4tj4sSJHD9+nMDAQFJTUxk6dCgvv/wyK1asYMqUKfj7+1sjFPEwrNTSI6zo9OnTasOGDUopravRV199pa5evaqSk5PV5s2b1Ztvvqk+//xzc/ewb7/9Vh09etTKtb53V65cUUrd6ka0atUq1aNHDzV69Gj1119/qX379qlGjRqpn376Se3du1c9//zz6vTp00oprbnf1rvC7dmzR/32229qx44dKiMjQ+3fv18dPnxYZWdnm2Pu1KmTmjBhgsXr4uLilFJKRUdH53eV79uFCxfUkSNHVHx8vMrKylJRUVFqyJAhqnfv3qp///4W3TZmz56tmjRpoi5fvqyUUurkyZPq0qVL1qr6PTHFZ7rWtm3bpvr37686d+6sWrZsqa5du2Yuu3btWtWmTRt18OBBpZR2fUdGRlqj2vfs4sWL6uTJkyozM9PcrWb//v3qxIkTSimlwsPD1RdffKE6d+6sVq9ebfHaxMREFRMTk+91vl+mGDMyMpTRaFQZGRlqzJgxqnPnzqpPnz4W7zPTOTR9jtrDOdyxY4e6ePGi+fm4ceNUs2bNzF2KcnYl+uijj1SbNm1URkaGUkqpvXv35tnV0daMGDFCjRgxwnyNfvXVVw4V46VLl9SpU6fMcfzxxx/q5ZdfVvPmzbP4DFVKqTlz5qgmTZqYr0tbvEaNRqP5XK1YscL8+fn111+rypUrq02bNlmUX7dunercubOaNm2aUkr7/7Fq1SoVGhpq898R4s4kcXkChIaGWnzA5hwDYDQaVWpqqkX577//XvXo0cP8AWEv4z6ys7PV6dOnVUhIiDpw4IDFvp9//lm9//77qmbNmqpZs2Zq9OjR5n3t27dXs2bNyu/qPpCvv/5atWnTRj377LOqU6dOqnfv3io+Pj5XuU6dOqkxY8aYn8+YMUMNGjTI/KVryyZOnKg6dOig6tatq7p3765mzpypDAaD2rx5s2rSpIl69dVXVUpKisVNRevWrdVPP/1kxVrfu5zxvfzyy2rWrFkqMzNTKaXUkSNHVM+ePS1uGJXSzufEiROtUd379s0336gOHTqoevXqqZdeekkdPnzYYr/pcyVn8rJ27VprVPWB5YyxW7du5vFJ+/fvVy+++KJ64YUXVGJiosVnZ4cOHdSUKVOsVeV7lp2drS5duqRCQkLU2LFj1fnz58373nrrLfX000+rCxcuKKVu3dhfvXpVtWnTJtfnri0bN26cqlOnTq6xgG+//bZDxDhx4kTVvn17Vb9+fdW9e3fzjwaTJk1Sbdu2VaGhobm+O5577jmb/RzNOa7o6tWrqkOHDqpbt24qKSlJKaXU559/ripXrqy2bdtm8bqdO3fa/HgdcX+kq9gTYO3atQwaNMjcf9XUF1fdnD3ENHORSaVKlUhISDB3tbH1vrsmOp2OokWLAtoKwPv37zfve/nllxk/fjxr1qxh1apVjBw5EtD6NQcEBNj0rGEm69evZ82aNUyZMoXQ0FA+/vhjUlNTmTZtmnlefdN5NBgM5mk8p0yZwrRp0+jXr5/Nr2WyZMkSVqxYwYgRI1i2bBmNGzdm48aN7NixgxYtWtC/f39Gjx6Np6enuStjSkoKfn5+BAUFWbn2d3d7fE2aNGHDhg1s3boVgGLFiuHm5saxY8fMXVWMRiNBQUF3nALalvz8888sX76cESNGsHLlStLT01m8eLFFGVNc5cqVo2fPntSvX59vv/2W9evXW6PK9+32GDMyMli4cCEAdevWZcCAAUyaNAkfHx+LGRr9/f0pWbKkNat+T3Q6HSVKlKBSpUr88ssvrFq1ivPnzwMwc+ZMihUrRu/evS3WwHB2ds41VsmWjR8/npUrV7Jo0SLzlOmm63LmzJmUKFGCN998025jXLFiBcuXL+eTTz5h6dKlpKSkMHPmTAAGDRpEy5Yt+fHHH1m+fLm5C2pmZiaFChWyyTEfRqPRoite0aJFGTNmDO7u7vTr14/k5GQ+/fRTevTowTvvvMOOHTvMZZ966imcnJzM51fYP2drV0A8PqbB9WXKlCE0NJT33nuPadOmmQc7mz4I4uPjOXz4sHlq4F27dtnlApM6nQ43NzdKlixJwYIFeeONN5g9ezaNGjUyL0RYqlQpoqKiGD9+PIGBgcTExHD69GmqV69u7erfVXR0NHXr1qVy5coA1K9fn8qVK3Po0CFzcmk0GjEYDBiNRlxdXZk3bx5z5sxh2bJlNj99tVKKM2fO0L17dxo2bAjAf/7zH7Zu3cqKFSto0aIFvXr1AuDo0aNERERQoEAB9u/fz5UrV2x6nR349/jWrVtH69at8fPzo3jx4nz55ZdERUXh7+9PeHg4x44d4+OPP7ZyBHeXc+IPgK5du3L48GFWrFhBYGAgtWvXxtvb2zzVerly5ejatSuurq528R6EO8e4bNkyihcvTsOGDfH29ubIkSMcOHCAoKAgTp06xcmTJxk9erSVa393pu+FGjVqcOzYMVauXElqaiqvvPIKZcqUYf78+QwaNIj333+fHj16EBwcTHh4OOnp6RQrVszKtb+7U6dOMXfuXMaPH2+xlteZM2e4fv069erV47vvvmPkyJF2G2NUVBRt27Y1f6f37duXf/75h40bN1KhQgWGDh1KsWLF+OWXX9i2bRtVqlQhISGB8+fPU6NGDSvX3lLOdVp++eUXIiIi0Ov19OvXj4EDBzJlyhT69evHjz/+yMiRI9Hr9fTt25fQ0FCLWG5fD0vYL0lcHJjpjZqYmEiXLl1ISEigT58+zJ0712JxtLNnzzJt2jTef/99atasSXh4OHPmzLG7xAW0wefZ2dl89dVXLFu2jH79+jF79mwaNmxoTuQSExNxcXFh7dq1BAUFMXv2bEqUKGHtqt9VSkoKu3btMj/X6XQ0bdqU9evXExMTg5+fn3n2t3r16jF9+nQ8PDxYtGgR1apVs2LN741OpyMhIYEzZ86Yt7m4uNCyZUv+/vtv4NbaQitXruS3336jYMGCeHt78+OPP9p8q9nd4jO1gH7xxRd89dVXbNiwgcTERIoUKcLs2bNtfh0T0Cb+uHbtmvn5t99+S1BQEPv27cPPzw9fX18mT56Mr6+v+YakYsWKvP/++zbfGmhytxgLFizI9OnTOXz4MEuXLgWgcOHCzJs3zy7Ooem8lCxZkvLly1O5cmUGDRqEs7Mzb7/9tnkil1mzZnHs2DFWr16Nv78/M2fOtItWz0qVKtGzZ08mTZpEx44d0ev1vP766yQlJREWFkalSpVo3749EyZMYN68eezfv9/uYkxLS+Pvv/9m0KBB6PV6Zs6cSVZWFn/++SeBgYEUKVKEKVOmUKNGDTZv3syePXsICgpi/vz5NtcqaEpavvrqK1avXk316tUJCQkhKyuLunXr8tFHHzFhwgRz8jJixAiKFStm8z/UiYdgpS5qIp+kpaWpQYMGqWXLlqns7Gz15ptvqlatWqlz586Zy2RkZKjw8HC1bNkytWnTJvMgZ3t0/PhxNXz4cJWYmKgSEhLU6NGjVdWqVS3WazFJTU21izEfJuHh4WrYsGEW8+1v2bJFVa9eXV29etWi7IIFC1TlypVzrSth65YsWaJGjBhhEc/8+fNVixYtVEZGhnksiFLaQMtLly6p2NhYa1T1gdwtvrS0NPP2pKQkFRMTo5KTk61R1QdyPxN/2Ku7xfjGG2+or776Siml1PXr11VMTIzNT/iRlz179qgePXoopZT6888/VfPmzdXzzz+vOnfubF6bJi0tTSUkJNjNNZrzuuvbt6/q06ePGj16tPrwww/VyZMnVVRUlPrmm2/Uyy+/rDZu3KiU0r4n7ClGpbSB9d26dVO1a9dWzZo1Uy+++KKKjIxUSUlJauPGjapXr15q5MiR5rEfmZmZNj0OZNOmTapVq1bm8VYxMTHq1KlT6pdfflExMTFq37596rXXXlNt2rRRKSkp5tflXOtFOA5JXJ4Ay5YtMw/2TUtLMy++mDN5cSQ3btwwP05MTMyVvGRlZdn8ooR5yc7OVnFxcRZfMH///bdq0KCBxSxMa9asUZmZmXYxM9Pt0tLS1IULFyxinDVrlnrmmWcsyu3atcuubiRM7jW+nTt3mged2pOc76t7mfjDHt1LjC+//HJ+V+uRMhqNKjw8XLVr184c35tvvqmqVKmihg4dqiIiIqxcw4e3f/9+1b9/f9WsWTO1c+dOi33vvvuueu+996xUs4dnNBrVlStX1Nq1a1X//v3V3LlzLfYvXLhQde7c2W4+Q3///XfVoUMHFR8fr/bt26fee+899dRTT6nq1aurF154QSUnJ6s9e/aozz77zKYTMPFo2Meoa/FA1M1BhN26daNkyZIYjUbc3d2ZMWMGZcqUoW/fvuZBl47AFG/hwoXNj318fBg0aBAvv/wy/fv3Z8eOHTg5Odn8nPt50ev1FCpUCCcnJ3N86enpGAwGc3P61KlTGTp0KFevXsXPz8+a1b1vKsc4pJwxGgwGi4GVkydP5pNPPjGvn2Av7ie+ESNGkJKSYq2qPjDT+0rdZeKPhIQEa1Xxod1LjElJScTHx1uphg9Pp9NRrlw5SpUqRXh4OP/73/+4du0a//vf/9i3bx/Tp0+36C5nj2rUqEGlSpUoUKCAeVIXo9EIQKNGjYiLi7PbAd06nY5ixYrRsWNH6tevb7FuG0BISAgZGRmkp6dbqYZ3ZjoHOZUoUQKj0Ujnzp157bXXcHJyYsiQIezZs4dr166xY8cOGjRowKhRo2Qg/hNAxrg4sNtvzk03t6bk5YMPPqBLly6sXr3aLvpe303OeHM+NiUvqampDBkyhL/++gt3d3e7TF5MTHV3cXExf0hPnTqVH3/8kRUrVtjFDFS3u/185IzRdO1OmjSJuXPnsnjxYrvoa56To8eX090m/nBzc7Nm9R4JR47RlIg5Ozvz6quvUqxYMWbMmEH58uXx8/Nj+vTpdjMmKS9KKVxcXHjnnXd4/fXX8fPzIzk5GU9PTwBOnz6Nv7+/XcwgdiemsUrFixfnr7/+YunSpXTp0gVnZ2e2b99OwYIFcXd3t3Y1LeQciL9y5UquXLlCVlYWH374IUOHDuXMmTNUqVKFmjVr4uXlRUpKCqVKlcoVhwzEd2ySuDyh3N3d+fbbbxk2bJi1q5IvfHx8GDFiBGlpaXY56cCduLi44Onpybhx4/jtt99YvHixeXpPR2H6Ips8eTJz585lyZIldjHZwL1y5PgcaeKPO3HEGE1JWc+ePUlJSWH48OGUL18epRTt2rWjRYsWeHl5WbmWD06n05l7ILi7uxMWFsb48eMBCAgIYOPGjSxevBhnZ/u9RTJ9rjRr1oxt27axYsUKpk6dStWqVTlx4gQ//vijTZ1D0+Q5oE1XvWrVKurXr0/ZsmUxGAy0aNGCFi1acOPGDX799VeCgoJYunQpWVlZNGnSxMq1F/lJp+z5JwUhuNVlw1H9W3wxMTG0bduW7OxsFi5c6JAzqezatYvevXtTsGBBZs+e7TA39SaOEN+drtHMzEwuX77MwYMHKVy4MOXLl7f52d/u5EmI8XaZmZkYDAbzDa7p/4GjfeYmJSUxc+ZMEhISKFCgAC+99BLlypWzdrUemikZSE9P59SpU+zbt49ixYpRvXp1m5lJc+bMmRZrjO3YsYORI0fy448/UqZMGaKjo4mMjOTgwYO0bt2aM2fOMHv2bOLi4ihWrBjTpk0z9zyQlpYngyQuDsj0Bna0L5e8mKbHTU5OJiMjA39/f2tX6ZEynUvTgqC3dwHLzMxk5syZdOrUyWKKa3tiOodpaWk4OTnl6oKSnJzMBx98wPDhw6lYsaKVavngnpT4bn8POtLnj6PHeLdr1BGYYszMzLSI7/bvy5zdlezJnc6hLcezZcsW1q1bx5dffmlu3dq6dStffvklP/zwAxEREcyZM4cjR46QlZWFj48PoaGhuLu7k56ejp+fHzqdzhy7eDLY5tUsHpjpQ/j69essW7bMJgffPSrZ2dk4Oztz5coVunfvzqlTp6xdpUfKdC6vXr3Kyy+/zPHjxy32K6VwdXVl4MCBdpu03H4OT58+nWu/aZ0We7ypf9Liy/kedIQbenD8GO92jToCU4yXL1+mR48eXL582bzv9l/p7fGc/ts5tNWk5dKlS7Ro0YKvv/4aZ2dn/vzzT9LT0yldujTu7u689tprvP7663h4eDB8+HD27t2LwWDg77//xsvLC39/f3OiKUnLk8U2r2jxQIxGo/lGt1OnTkRERNjc4Lv79W8NgqZYu3fvTs2aNWncuHE+1uzxM8XXrVs3GjRoQLt27Sz2m75gbf2L9l7OYc+ePalatWqublKmmwpbjlHis//3oKPH+DDXqL24lxhfe+21O3bls/XPU0c6hx988AHvv/8+u3fvBuDMmTNMmjSJ0aNHU6xYMb788kvefvttFi5cyLhx43jhhRdIT08nMDAQX19fi2PZamImHh/pKman7tT8GxsbyzPPPEOHDh0YPXq0zX4I3wulFAaDwaJZP2fXjKysLL799lsSEhLsMlbTVMY+Pj7mbTnPq1KK+fPnc+7cObuMz+TfutNkZmYyatQoXFxc7DZGR47P0d+D8OTE6KjX6L1IS0vjgw8+oEiRInYbo6Ocw+joaAYNGsTBgwfp0KEDHTt2pHHjxqxatYrQ0FDKly/Pp59+ipubG9euXePvv/+mUKFC/PLLL0RGRrJy5UoZy/KEk8TFjhw5coTMzExKlCiBv7+/uXk05wfapUuX2LlzJ927d7fpD6+7mTVrFgcPHiQ6Oprnn3+eZ5991jxlc854b9y4QUBAgDWr+kCmTZvGvn37uHLlCm3btqVp06bm6VRzJi+pqanmKTrtzbx58zh+/DgZGRm0bNmSDh06mG8Oc57Dc+fOUbZsWWtW9YE4enyO/h4Ex4/R0a9RgCVLlhAeHo6LiwtPPfUULVq0yLPckSNHqFGjRj7X7uE54jkMDQ1l5MiR1KtXj+DgYLp37079+vVZvXo1S5cupVSpUnzxxRecOXOGqVOncv36dUqWLMnEiRNlIL6QxMVefPPNN6xevRpPT0+SkpJ48cUXadOmDbVr1wYcZ5AowOzZs/nhhx/o168fBoOBZcuWUa1aNZ577jnat28PYNcfXIsWLWL69Ol89NFHZGZmsn79elxdXWncuDF9+/YF7Ds+gO+++4558+bRpUsXDAYDP//8Mx07dqRLly7Uq1cPsO8YHT0+R38PguPH6OjXKGhrVy1atIinn36atLQ0NmzYwBtvvEGvXr3M3cHsOUZHO4c5f5T79NNPiY6OJiUlBR8fH3r37k29evXMyUuFChUYNWoUzs7OxMfHU7BgQRmILwBJXOzC/v37+e9//8vkyZOpUqUKmzdvZt26daSmpvLmm2/SsmVLwHGSlxEjRlCuXDl69+4NaP1f/+///o/Y2Fjat29Pt27dAPuN17RegGkNnStXrrBs2TJ27dpF8+bNGTBgAGC/8WVmZvLRRx/x9NNP8+KLLwLar51jx44lMDCQ7t2707RpU+tW8iE4enzg+O9BcOwYn4RrNCEhgYEDB9KrVy9at24NaFOLDx48mBYtWtC3b1/Kly9v5Vo+OEc9h6ZZ3datW0dYWBhNmjRhxowZeHh40K9fP4vkxc/PjylTptjFDGki/8gVYAdMg9Lq1KmDl5cX7du3p1+/fhQtWpTvvvuOrVu3ArY7qPB+XblyhaNHj5qfV6hQgf/+978ULVqUDRs2sHHjRsB+471+/brFzETFixenV69etGrViu3bt7Nw4ULAfuPT6/VcuXLFYha0GjVq8Pnnn5OUlMTy5cs5cuSIFWv4cBw9PnD89yA4doxPwjXq7u7OjRs3OHfuHKAlmE899RTfffcd+/btY+7cuURFRVm5lg/OUc7h22+/zfjx49m1axeAOQlp1KgRmzZt4uLFi3z99dekpaUxZ84c/vnnH1588UU6depE4cKFLVpXJGkRIImLXfD39+fcuXMcOHDAvK1OnTq8+uqrlC1blkWLFuWaKteede3alaioKPMHHUCJEiXo378/np6e/Pbbb8TExFixhg+nZ8+e3Lhxg9WrV5u3FS5cmG7dulG7dm22bt3KiRMnrFfBh6CUwtnZmeeff57IyEjOnj1r3hcSEsLw4cO5dOkSK1assGItH5yjx2fi6O9BcNwYn5RrVK/XU7duXS5fvkxiYqJ5atyaNWvyzTffsHHjRhYtWmTtaj4QRzmH4eHhbN26lXnz5jFz5kw+/PBDEhISSEtLw9/fn1GjRrFixQoyMzMZMWIEqampzJs3j127dtGzZ08+//xz9Ho9RqPR2qEIGyKJi41TSlG2bFnatm3LwoULCQ8PN++rWrUqnTt3JiMjw9zq4ghv8OrVq+Pq6sratWs5c+aMeXvJkiUZOHAgO3bsMMdrj8qUKUPt2rXZuHEj27dvN28PCAigV69eREREWNxM2RPTr9NNmjQhLCyMZcuWkZCQYN5fqVIlRo0axbJly/j777+tVc0H5ujxmTj6exAcN8Yn5Rp1cXGhffv2rFmzhqVLlwKYb3Jr1arFN998w+zZsy1+8LMXjnIOy5cvz8KFC833MZcuXaJ37978+OOPnD59mrp161KrVi327dtHhQoVGDx4MBcvXmTnzp3mYyilpKVFWJCrwcbpdDrc3Nxo06YNCQkJhIaGcvHiRfP+Bg0a8Mwzz7Bo0SJSUlIc4g1eunRp3nvvPQ4ePMiCBQssFtMqV64czZo149ChQ9ar4EMqXLgwr776Kunp6YSGhlrcHBUtWpRGjRpx4MCBf52335YppahatSqffPIJixYt4vvvvycuLs6837QWRlhYmBVr+eAcPT5w/PcgOHaMT8I1qpSiYcOGfP7550yePJmffvoJuHXT36hRIypXrsylS5esWc0H5ijnsH79+vz444+sX7+eAQMG0KFDB65du8Ybb7zBmjVr8PLyYu7cudy4cYPq1aszZcoUBg0aZH69PXbVFI+X/d/lOjCllPnmtVWrVnTs2JFDhw6xcOFCizEStWvXJiAggIyMDGtV9ZEwxaqUom7dunz22Wf8888/zJ07ly1btpjLpaen4+3tba1qPrDs7GxAi69SpUoMGjSI1NRUlixZwrJly8xlEhISzKsC2xuj0YhOp0MpRfPmzZkyZQo//fQTM2fOtLhmTeVs3cqVKzl8+LDFNkeK73aO+h7MysrKtc1RYnzSrlGwnDChU6dOfPrpp4wdO5bvvvvOfHPv6uqKi4sLaWlp1qzqA3G0z9GmTZsyYcIEhg4dSokSJRg+fDjDhg1j3rx5xMTEEB4ezpw5c8jMzKRs2bLo9Xrz96UQt5NZxWxIREQEbm5uuLq6mr8wTcmLqSVlxYoVrFu3DicnJ3r06EHZsmXNv9ovWbKEAgUKWDOEe7Zq1SrOnTuHq6srzZs3p2bNmhb7TV9MBw8e5McffyQqKgqj0UhQUBB79+5l6dKlNj1jzMqVK7l48SKZmZmUL1+erl27ArdmRTHFFxYWxvLly803TIGBgZw8eZJFixYREhJizRDuauXKlYSFhaHT6ahbty7PPPMMcOvcmf67fft2vvnmGwoXLoxSCj8/PzZt2kRoaKhNrzswZswY8/utaNGiufbbe3yrV6/m/PnzuLm50bx581yrbdv7exBg8eLFtG/fnoIFC+Y5bay9x+jo1yjAX3/9RVJSEl5eXtSvX59ChQoBuWeYWr9+PZ999hnNmjUzJy0bNmxg+fLllCxZ0kq1v7t169Zx/fp1PD09qVevnvl6M12vjnAOTbZs2cLAgQP58ssvadeuHWfPnuXIkSN888031K1bl6lTp1q7isIOSOJiIyZOnMiOHTuIioqidu3atGjRwjwdJ1h+SO/atYvNmzezdOlSSpYsSXJyMjNmzKBKlSrWqv59mThxIitXrqR169bs3LmTkJAQxo8fb5Gs5bzxjYyM5MqVK/z2228EBQXRunVrypUrZ+Uo7mzq1KmEhobSqVMnLl26xMWLF/H39+f777/HxcUlV3xJSUnExMSwfv16ChcuTP369SlTpoy1w/hXkyZNYuXKlbRp04bTp09jNBpp0aIF77zzjkU5U4zh4eGcPHmSzZs3ExgYSOfOnalYsaKVan93Y8eO5ddff2X27Nl5vq9uP4f2Ft/kyZNZvnw5LVq0YO/evVSoUIGxY8fi5+cH2P970MS0/sWSJUvw9vb+1+TF3mJ09GsUtO+K0NBQKlasyIkTJ2jYsCEtW7bk5ZdfBnLf3B8+fJjt27dz+PBhfH196d27N5UqVbJyFHc2efJkli5dSv369Tlx4gSlS5emZs2aDBw4EMgdnz2ew9tt2bKFAQMG8PXXX9O2bVtAmyLZycnJIlYh7kgJq1u9erVq0qSJ2rlzp1qzZo2aOXOmql69uvrmm28symVnZ1s8v3z5srp06ZKKiYnJz+o+lPDwcNWmTRu1d+9epZRSJ0+eVLVr11YnTpxQGRkZ5nIGg0EZjUZrVfOBXb9+XbVr105t2LBBKaVUVlaW2rdvn2rWrJnq06ePSkxMNG+3x/iUUurUqVMW5zAxMVGNGTNGde/eXcXGxlqUzStGW487NDRUhYSEqEOHDllsv/2avNM5tPX4Ll26pJ5//nm1a9cupZT2nqxTp446efKkRTl7fQ8qdeuz8sMPP1QhISGqbdu2KiEhQSmlnbec7DFGR79GlVLqwoUL6tlnnzVfpxEREWrUqFHqlVdeUVOmTDGXM8Voisl07jMzM/O/0vchMjJStWvXTm3evFkppVRMTIz64Ycf1IsvvqiGDx9uLmfP5/BOtmzZomrVqqVWrVpl8b1/+3tTiLzIGBcbEBkZSbVq1Xjqqad44YUX6NevHxMnTmTBggWMHTvWoqy62UCWlZVF8eLFKVGihPlXUnuQkpJCeno6pUqVArSpngsVKsTYsWPp06cPY8aMAcDZ2dk8Q1pYWBgGg8Fqdb4fWVlZxMXF4e/vD4CTkxO1atWiZcuW7Nixg3fffde83XQu9+/fT3x8vLWqfN8SExPJyMigQoUKAPj4+NCtWzcOHz5sMW0n3BpYGRkZmWubrUpOTqZWrVoW77Uvv/yS/v3789///pfZs2cDlufQnuIzGAxkZWVRokQJQBukXrhwYSZPnmxe6Bbs9z0It9Z7SEpKomPHjhQpUoTOnTuTmJiIk5OTRf950/mypxgd/RoF7To1GAyULl0agODgYN577z2aNWvGjh07mDFjBoC5BU2n01lMUOPi4mKVet8ro9FIVlYWgYGBAPj5+dGjRw/69u3LsWPH+PTTTwH7Pod30rx5cyZMmMCqVavM67oAuVpDhciLJC5WZPowcnZ2JiUlxbzdycmJZ599lhkzZvDzzz8zbdo0QPsy1ul0zJ49mx07dlilzg+rbNmylCxZkgsXLgAwcuRInJycaNu2LfXr12fz5s0WN/d//vknr7zyCqmpqVas9b0rWrQoPj4+/PLLL+Ztzs7O1KxZkwEDBhAfH8/QoUMB7Xzu2rWL3r175zl42FaVKlWK9PR081TOBoOBgIAAChQokOeN3+rVq+nWrZvdDJLt3bs3hQsXZvz48WRkZPDf//6XkydPUr16dby8vFi9ejUjR44EtHO4Zs0au4qvTJky6PV6hg4dyooVK+jUqRPe3t7UrVuXIkWK8Ouvv5q7/Nnje9AkMTERvV7P008/zZdffklAQABdunTJM3mxtxh79+5NQECAw16joF2nrq6uFmuVBAQE0L17d1q0aMGePXtYu3YtoN3EL126lBdeeIGsrCybnpHRNCtokSJFcHV1ZfHixeZ93t7etG7dmn79+nHy5Em+//57QDuHa9eutbtz+G+eeeYZ5s2bZ+1qCHtktbYeYXbmzBlVuXJltXDhQvM2U3P3unXrVN26ddW6devM+1599dVc3TpsWUxMjEWz9vnz582Po6Ki1I0bN5RSWtP3jh07VMeOHc3dA4xGo7py5Uq+1vd+3R7f8uXLVceOHdX48eNVZGSkOnz4sKpbt65asWKF2rZtm3rllVcs/h9ERkZaodb3JywsTIWHh6vw8HCllFI//fSTOnz4sPk6TU9PV3Xq1LG4Tk3i4uLUhQsX8rW+98sU3+nTp83b2rRpo9q1a6c+/fRTdf36daWUUhkZGWr58uXq5ZdfNr8HIyIi7Ca+sLAwpZTWRbNTp06qe/fuqlGjRurcuXNKKe39tnv3btWhQwe1ceNG8zZbfw8qpdS1a9fUjRs3zN0xlVLqxx9/VJcuXVJKaV3kevbsqVq3bp1ntzFbj9EUn6k7ptFoVM8995zDXKNKKbVx40ZzfAaDQX3//ffqjTfeUH/88YdFucjISDV48GD13//+17zt0KFD5s8nWzVu3DjVt29f8zW6YcMG1aVLF4vvfqWUio+PV99++616++23VXx8vFLKfs7h/bLnLm/COiRxsRE//fSTqlOnjlq7dq15W3Z2tkpNTVVffPGF+uKLL+yy/+dff/2levXqpU6fPp3rAypn31aThIQE1bp1a/Xzzz/nVxUfSl7xxcTEqMWLF6unn35aNW7cWNWsWVONHj1aKaVUdHS0ql+/vvr999/Nx7D1D+5JkyapDh06qJYtW6rnnntOLV68WCllWe/U1FRVu3Zti8Rl1qxZatasWfle3/uVM77nn3/eXOeTJ0+qOnXqqNdee01lZGSY442KilINGjRQv/zyizWrfc9uj2/OnDlKKe3GcPv27eqdd96xOJdJSUmqffv2au7cuVaq8f2bPHmyeumll1STJk3UkCFDco39MMmZvJhuHg0GQ35W9YHcHt+BAweUUkqdOHFC1a1b1+6vUaW05Lpx48ZqyJAh5pv1c+fOqffff18NGDBAbd261aL86dOnVZUqVdThw4etUd379uWXX6patWqpU6dOmbdFR0err776Sr3++utq2bJlFuUvXryoqlevnituIZ50ztZu8RGarl27Eh0dzfjx4zEajXTq1Am9Xo+HhwcFCxa0665he/fuZfLkyXz44YfmcRGAuW9rcnKyeUaxAgUKULJkSdzd3a1S3/t1e3zly5c391Xu1KkTZ86cwc/PzzyeoFChQlStWtU8pSfYdl/lRYsWsWrVKqZNm4bBYCA8PJwxY8ZQqFAh84ww2dnZJCYmkpWVZZ6Oe8qUKcyePdu8Po2tuj2+s2fP8sUXX1CyZEmee+45RowYQdWqVS36YRcsWJCKFSvi4+NjxZrfmzudv8DAQNq3b0+dOnWYNGkSc+bMoW/fvoDWXaVEiRJ2ER/AvHnzWLZsGZMmTeLSpUssX76co0ePWkyxbpqdqUSJEowfP56PP/6Yp59+mr///tvm48wrvmPHjlG7dm3KlCnDJ598QuXKle32GjUpVaoUvr6+7Ny5k1GjRvHpp59SpkwZ3nnnHb755huWLl1KcnKy+XPH39+fkJAQ3NzcrFzzu/vqq69YtWoVK1eutJgx0t/fn9dee43/+7//Y9WqVSQnJ/Pmm28C2pieKlWq2EV8QuQnSVxshLu7O3379kWn0zFq1ChiY2Pp0qULHh4eJCcnExgYmOdUnrbOyckJf39/9uzZw7Bhw5gwYYLFFKNpaWmsWLGC8PBwGjduzIEDBzh27BijR4+2Yq3v3Z3i0+l0eHp6UrNmTS5evMj06dOpXbs2O3bs4MyZM+ZExtaFhYXRrl07801guXLl2LBhA4cOHTLfQDg5OeHi4mKeznLGjBnMnTuXJUuW2PRUpJB3fOvXr+fAgQM8//zz5h8Qzpw5w969e2nYsCFr1qwhPDzcptf3MLnT+Tty5Ajt27dHKUXTpk3ZtGkTiYmJ1KtXj507d3L48GE+/vhjK9f+3pw+fZqePXvSsGFDGjZsyMGDBzl69Ch79uzBycmJevXq4eTkZJ5SvkSJEowZM4YxY8YQGxtr8zf3d4pv165deHl50blzZ3O5/fv32901CtpAdVdXV0qUKEFQUBBGo5HRo0fzySefUKVKFT788EPmzp3L/PnzOXDgAE2bNmX79u3cuHEDX19fa1f/X125coXNmzfzwgsvmJOW7OxsduzYgcFgoHjx4owYMYIZM2awYsUKDh06RLNmzTh27Bjnz5+3m+8KIfKLJC42xNvbm3feeYfixYszduxYli1bhpOTE1FRUcybN8/iFzV7cezYMYoUKcKCBQvo3r07w4YNY/z48RbJi7e3N3v37iUsLAw3NzcWLFhgNx/W9xKfUootW7awdetWlFL88MMPFClSxIq1vjfZ2dlcuXLF4sbA19eX0qVLs3v3bjIzM83XpK+vL0WLFmXYsGHEx8ezePHiXAsa2po7xVemTBlzfM7OzmRmZrJmzRqWLFlCcHAwer2e2bNnU6xYMSvW/u7u5fx5enrSrVs33N3dWblyJZs3b8bb25s5c+bYxXvQYDBw/vx5c4zZ2dls27YNT09Pdu3aRVJSEr169eLDDz9Er9ebk5dSpUrx3Xff4exs21+Bd4svOTmZV155hSFDhvDLL7+waNEiihYtajfXqIlpJrCmTZsSFhZGgwYNWLRoEePHj2fixIl4enry5Zdf8uuvv7JgwQL279+PTqfj+++/N8/KZasKFy7MSy+9xKFDhzhw4AC1a9emT58+xMXFkZCQQHx8PO+88w4DBgygSZMmTJ06lVWrVqHT6Zg/f75dfFcIkZ9s+1P7CeTq6kqXLl1o0KABp0+fJjMzk+rVq1O8eHFrV+2BBAUFUaVKFTw9PQkNDaVr164MHTqUr7/+mnLlyuHh4UHXrl3p2rUrGRkZKKXsppsY3D0+0KabXbZsGUlJSej1ery8vKxc63vj5OREx44dWbhwIVFRUfj7++Pk5ERgYCA6nc58s2Ga1rNMmTLs2bOHZcuWERISYuXa392/xafX681/rq6uvPPOO/Tq1Yvk5GTzFN627m7nT6fTYTQaKVGiBO+88w59+vQhLS0NV1dXPD09rV39e+Li4sLAgQMJCwsD4OjRo1SoUMHcYnvs2DGGDh1KUFAQr776qsVK67aetMC9xTdkyBAqVKjARx99RK9evUhLS6NQoUJ2cY2aqJuLDnp7e3Pp0iVGjx6NXq83L5KamprK/v37zd8VycnJ6HQ6u/gsdXd3p0OHDuzfv59ly5bx559/UqBAAb788kuUUpw8eZJBgwbh4+PDa6+9xqJFi8jOziYrK0u6iQmRB51SNjxvoLB7ycnJpKammn8Vy8zM5MUXX8TDw8Pi5t5eOXp8WVlZXL9+naCgIPON/MyZM9m4cSPLly83d128cOEC3t7epKamUrJkSSvX+t7dLT7TFORHjhyhRo0a1q7ufbvX+A4dOkStWrWsXd0Hom5baTs9Pd3ix4+ZM2dy/PhxJk2ahKurq02PKcvL3eKbMWMGx44dY/LkyXb1o09ekpOT6dOnDz/99BOurq68+uqrnDx5ktq1azN16lS8vLzsdmX1s2fP0rt3bzIzMxk5ciTt2rUz7/v+++/Zs2cPU6ZMwcvLyyLBFkJYkneHeKy8vb3NN/UGgwFXV1dWr15NWloaH3/8sfmXRHvl6PE5OztTrFgxnJ2dzV+mqamppKammtfBmDRpEs8//zwuLi52lbTA3ePT6XRMmjSJl19+mdjYWJteHyIv9xLf5MmT6dGjh13GB7cmtzAtlnn7zbubmxs3btzA2dnZLm947xafu7s7MTExNr/g4t2YEpK0tDSOHj3KuHHjuH79Ov/5z3/Q6XQMHDiQ+Ph4uzyHoI0v+/zzz/Hy8qJ69eoW+9zc3EhISMDDw0OSFiHuQt4hIt+4uLiQlZVlvrm/evUqY8aMITMz09pVeyQcPT7TTa1SChcXF1xdXZk6dSoLFy4kNDSUggULWrmGD+du8fn5+dntTRPcOb4FCxY4RHymG74bN25w6tQp8/bo6GgKFy5sV4u85sXR4zN1/WrWrBnvvvsumzdvZu7cubz11ls899xzuLq6kpGRYe1qPpSWLVuyatUqSpQoQUJCgnl7ZGSkQ5xDIfKD7XfyFQ7F2dnZfHP/999/ExkZaZeTDtyJo8cH4OPjg4eHB+PGjWPx4sUsWbLE5gfi3w+Jz34ppTh79ixvvfUWFSpUwMvLizNnzjBv3jyHGC/g6PEBtG3blt27dzNhwgTzBBHdunWjbdu25mnz7VmBAgW4evUqPXr0oHTp0nh4eHD48GHmz59v9139hMgPMsZFWEVWVpZdDI59UI4c365du+jduzeurq4sWbKEqlWrWrtKj5TEZ98yMzPZs2cPR44cwdfXlyZNmlCqVClrV+uRcfT4ADIyMsyJmL2Oafk3qamp/PHHHxw4cIAiRYrw3HPPUbZsWWtXSwi7IImLEOK+JCYmMmbMGPr372/3kw/kReITQgghbJMkLkKI+5ZzDRdHJPEJIYQQtkcSFyGEEEIIIYTNk1nFhBBCCCGEEDZPEhchhBBCCCGEzZPERQghhBBCCGHzJHERQgghhBBC2DxJXIQQQgghhBA2TxIXIYQQj9Tw4cPp0KHDv5bp1asX/fv3z6caCSGEcASOubS3EEIImzZq1Cj0evntTAghxL2TxEUIIUS+K1++vLWrIIQQws7Iz11CCOGAkpOTGTNmDK1ataJatWo0atSIYcOGkZiYaC6TkZHBmDFjeOqpp6hTpw6ffPIJkyZN4umnn7Y41oIFC2jTpg3VqlWjffv2rF+//p7q8OOPP9K4cWPq1KnD4MGDiYmJMe/L2VVsz549hISEsH//fnr06EH16tVp3bo1y5Yty3W8Z599lurVq/PMM88wY8YMjEbjg/4vEkIIYWekxUUIIRzQ4MGDOXPmDIMHDyYgIIDDhw/z7bff4uvry/DhwwH4+OOP2bRpE4MHD6Zo0aLMmTOHtWvXEhAQYD7O9OnT+e6773jrrbeoV68eW7Zs4cMPP0Sn09G2bds7/vvnzp0jNDSUkSNHkp6ezoQJE+jfvz+hoaF37CI2aNAg+vTpw8CBA1m8eDEjRoygdu3alC9fnjVr1vDtt98yfPhwKlSowMGDB5k8eTL+/v706NHj0f7PE0IIYZMkcRFCCAeTkZGBwWDgs88+o3nz5gA0bNiQgwcPsnfvXgDOnz/Pr7/+yrhx4+jSpQsAjRo1onXr1ubjJCYm8v3339OvXz/++9//AtC0aVNSUlKYOHHivyYuALNmzaJMmTIA+Pr68vbbb7N7924aN26cZ/nXX3+d3r17A1C1alU2btzI1q1bKV++PP/88w/FihXjlVdeQafT0aBBA5ydnQkMDHzw/1FCCCHsinQVE0IIB+Pm5sacOXNo3rw5V65cYfv27cydO5ezZ89iMBgA2LdvHwDPPPOM+XUeHh60aNHC/PzQoUNkZGTQsmVLsrKyzH/Nmzfn8uXLXL58+Y51qFChgjlpAWjevDkuLi78888/d3xNrVq1zI8LFCiAp6cnqampANSrV4/z58/TtWtXvv/+e8LCwujbt2+ubm1CCCEcl7S4CCGEA/rrr78YN24cly9fxtfXl2rVquHu7m4eExIXF4eLiwsFChSweF3hwoXNj+Pj4wHu2BXrxo0blChRIs99OY8DoNPpKFSoEElJSXess7u7u8VzvV6PUgqAF154gezsbBYtWsSkSZOYOHEiISEhjB07lurVq9/xmEIIIRyHJC5CCOFgLly4wMCBA+ncuTM//fQTwcHBAAwcOJCzZ88CEBQUhMFgIDEx0SJ5iY2NNT/28fEBYMaMGQQFBeX6d3K2qNwuISHB4rnRaCQuLg4/P78Hjqtz58507tyZmJgY/v77b2bMmMHQoUP57bffHviYQggh7Id0FRNCCAdz4sQJDAYDb7/9tjlpSU1N5Z9//jG3YNSuXRu9Xs/ff/9tfl1mZibbtm0zP69ZsyYuLi7ExMRQvXp189+ZM2eYMWPGv9bh1KlTREdHm5//9ddfZGVl0aBBgweK6ZNPPuGDDz4AwN/fn5deeolu3boRERHxQMcTQghhf6TFRQghHEzlypVxcnJiwoQJ9OzZk7i4OObMmUN0dDSurq4AlCpVio4dOzJmzBhSU1MpVqwYCxYs4MaNGxQtWhQAPz8/evXqxVdffUVCQgI1atTg1KlTTJ48mdatW+Pt7X3HOuj1et555x3ef/99bty4wYQJE2jevDl16tR5oJjq16/PsGHDmDRpEo0bNyYyMpIlS5bw7LPPPtDxhBBC2B9JXIQQwsGUKVOG8ePHM336dN5++20CAgJo0aIFXbt25fPPP+f69esEBQXx2Wef4e7uzpQpU8jKyqJDhw48//zzhIeHm481ZMgQ/Pz8CA0NZerUqQQGBvLGG28wYMCAf61D/fr1qV27NkOHDiU7O5t27dqZp2F+EC+++CLJycksWrSIefPm4ePjw3PPPcfgwYMf+JhCCCHsi06Z+g0IIYR4YsTGxrJjxw5atWpl0XLSo0cPChcuzPTp061YOyGEECI3aXERQognkLu7O6NHj2bDhg306NEDZ2dnfvvtNw4dOsTcuXOtXT0hhBAiF2lxEUKIJ9SRI0eYPHkyx44dw2AwEBISwn/+8x9atmxp7aoJIYQQuUjiIoQQQgghhLB5Mh2yEEIIIYQQwuZJ4iKEEEIIIYSweZK4CCGEEEIIIWyeJC5CCCGEEEIImyeJixBCCCGEEMLm/T8zB6q+KVSZ6AAAAABJRU5ErkJggg==\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -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", "text/plain": [ "
" ] @@ -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", + "image/png": "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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": "513ba3404e5d41288f04b86e2cf2a1d4", "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", + " [sex_enc, fare_enc, age_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", + " [sex_enc, class_enc, fare_enc, age_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", + " [sex_enc, fare_enc, sibsp_enc, class_enc, age_...\n", + " deck_enc\n", + " 0.854462\n", + " 0.844655\n", + " 0.824568\n", + " classification\n", + " \n", + " \n", + " 6\n", + " [sex_enc, deck_enc, fare_enc, sibsp_enc, class...\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", + " [sex_enc, deck_enc, fare_enc, sibsp_enc, class...\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 [sex_enc, fare_enc, age_enc, class_enc] class_enc \n", + "4 [sex_enc, class_enc, fare_enc, age_enc, sibsp_... sibsp_enc \n", + "5 [sex_enc, fare_enc, sibsp_enc, class_enc, age_... deck_enc \n", + "6 [sex_enc, deck_enc, fare_enc, sibsp_enc, class... pclass_enc \n", + "7 [sex_enc, deck_enc, fare_enc, sibsp_enc, class... 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']" + "['sex_enc', 'class_enc', 'fare_enc', 'age_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": [ + "{'sex_enc': 4.480325969909262,\n", + " 'class_enc': 4.016803499516745,\n", + " 'fare_enc': 0.7172923586401811,\n", + " 'age_enc': 3.6439760175393334,\n", + " 'sibsp_enc': 2.525112162894251}" + ] + }, + "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': ['sex_enc', 'class_enc', 'fare_enc', 'age_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_': [[4.480325969909262,\n", + " 4.016803499516745,\n", + " 0.7172923586401811,\n", + " 3.6439760175393334,\n", + " 2.525112162894251]],\n", + " 'intercept_': [-6.594091554182386],\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 +2430,12 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 45, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -1885,12 +2452,12 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 46, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "
" ] @@ -1905,12 +2472,12 @@ }, { "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", "text/plain": [ "
" ] @@ -1925,12 +2492,12 @@ }, { "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", "text/plain": [ "
" ] @@ -1945,14 +2512,14 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 49, "metadata": { "scrolled": true }, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAtkAAAH7CAYAAAAZwYM+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAAA8qklEQVR4nO3de3zOdePH8fdlM8IwQjnbbhtyyKEtxZwjHpSiOc0pC1EmRHKKIjmn1liEOTSVulVOTTE5pRwjiiTn846Wnb6/P/q57taoC5/t2uH1fDx63O1zXd/v9/3ZveZ9fXyu72WzLMsSAAAAAGPyOTsAAAAAkNtQsgEAAADDKNkAAACAYZRsAAAAwDBKNgAAAGAYJRsAAAAwjJINIFs7ePCgxo0bpzZt2qhOnTqqV6+eunTpomXLliklJcXZ8Ry2c+dO+fj46I033rjjcxw/flxr165NN+bj46MnnnjibuMBAAyjZAPIltLS0jRnzhw9/fTT+vTTT+Xl5aVu3bqpbdu2OnfunCZOnKg+ffrojz/+cHbULHH48GG1b99eu3fvTjc+ePBgdenSxUmpAAC34ursAABwM6GhoQoJCdGDDz6ot99+W2XKlLE/lpSUpNGjR+vzzz/XqFGjNHv2bOcFzSIxMTFKTk7OMP7CCy84IQ0A4N+wkg0g2zl+/LhCQkJUokQJhYWFpSvYkuTm5qYpU6aoXLlyWrdunY4dO+akpAAA3BwlG0C289lnnyk5OVndu3dX0aJFb/qc/Pnza+zYsZo8ebI8PDwk/fO+51GjRsnHx0c//fSTfczHx0evvvqqvvvuO3Xr1k116tRRo0aNNHPmTKWmpuro0aN69tlnVbduXTVu3FiTJk1SYmKi/fhVq1bJx8dHixYtynC9wMBA+fj4KDY29h/n+vPPP2vEiBFq0qSJatasad9zvn79evtz5s6dq549e0qSlixZIh8fH+3cudM+hxt7sj/44AP5+Pjoww8/zHCd8+fPq3r16goKCrKPJSUlad68eWrbtq1q1aqlhg0batiwYTp58uQ/Zv7r92/UqFEKDQ1VgwYN1KBBg3Tfi7Vr16pLly6qW7eu6tWrp169emnHjh0ZznPgwAH1799fjRo1Uq1atdS6dWtNnz5d8fHx9uecOnVKPj4+mjVrltauXat27dqpdu3aat26tRYuXKi0tLQM5926dav69OmjevXqqXbt2urYsaOWLVuW4bnNmzdXYGCgjh07pgEDBqh+/fqqW7eugoKCdPjw4XTPTUhI0OTJk9WmTRv792zw4ME6ePBghutfvHhREyZMkL+/v2rWrKnmzZtr2rRp6eYFIPeiZAPIdrZs2SJJaty48T8+r1mzZnrqqadUokSJO77Wvn371LdvX5UoUUJdu3aVm5ub5s2bp3Hjxqlr165KS0tT165dVaxYMS1dulSzZs2642v93f79+9W5c2dt2rRJjRo1Up8+fdSoUSMdOHBAL774or755htJkq+vrzp27ChJqlOnjgYPHqxy5cplOF+7du3k4uKS4c2R0p+FNy0tTR06dJAkJScnKygoSDNnzlThwoXVo0cPNW7cWBs2bFCnTp30888/OzSHLVu2KCwsTE8++aQaNWqkOnXqSJLmzJmj4OBgXbhwQR07dlTHjh119OhR9enTR//973/txx8/flx9+vTRnj171Lx5c/Xq1Uv33nuvwsLCNGjQoJteb+jQoapQoYJ9L/rUqVM1evTodM8LDw9X3759deDAAbVq1UpPP/204uLiNHHiRA0bNkyWZaV7/tmzZ9WlSxddvnxZzzzzjPz8/BQVFaXAwEBduXLF/rzg4GAtXrxYlStXVq9evdSkSRNFRUWpe/fu+vXXX+3PO3PmjDp16qQPP/xQDzzwgHr37q0qVaro/fffV2BgoK5du+bQ9xdADmYBQDbTsGFDy9vb24qOjr6t43bs2GF5e3tbr7/+eobHRo4caXl7e1uHDh2yj3l7e1ve3t7WBx98YB87duyYffzNN9+0j8fFxVn16tWzGjZsaB/75JNPMhx/Q48ePSxvb28rJibmltn69u1r1ahRwzp69Gi6Y7/88kvL29vbeumll/51bt7e3laHDh3sX/fp08eqXr26dfHixXTP69y5s/Xggw9aCQkJlmVZVlhYmOXt7W299dZb6Z63f/9+64EHHrCefvrpDHP6uxvfp40bN6Yb37dvn+Xj42P16NHDunbtmn38ypUrVqtWraw6depYly9ftizLst58803L29vb2r59e7pzPPfcc5a3t7f1888/W5ZlWSdPnrRf7/3337c/LyEhwXrmmWcsb29va8eOHZZlWdbvv/9u1ahRw2ratKn1+++/p3tuz549LW9vb+vTTz+1jzdr1szy9va2XnvtNSstLc0+PmbMGMvb29tavny5ZVmWdeTIEcvb29t6+eWX02Vdu3Zthp+XoKAgy8fHx/rmm2/SPXfx4sWWt7e3NXXq1H/+5gLI8VjJBpDt3NhiUbhw4Uy/lpubm7p162b/2tPT0779pG/fvvbxIkWKyMvLS5cvXzZ2R5PevXtr2rRp8vLySjfu5+cnSbp8+fJtn7NDhw5KTU1Nt93k1KlT2rdvn1q0aKFChQpJkj7++GMVLVpUQ4cOTXd8rVq11KZNGx04cEC//PLLv16vYMGCatKkSbqxjz/+WJZl6eWXX9Y999xjH/fw8FBQUJASExPtq+03tm4cOHAg3TmmTJmi7du3q2rVqunGy5Urp169etm/LlSokIKDgyVJn3/+uSRp9erVSklJ0aBBg1ShQoV0zx0zZowk6ZNPPskwl6CgINlsNvvXN+Z1+vTpdFmPHz+ebstHy5YtFRkZqeHDh0uSLly4oKioKDVp0kRNmzZNd40ePXro/vvv16effprh+gByF+4uAiDbKV68uC5evKjY2Ni72griiPvvv19ubm7pxgoVKqTExESVKlUq3XiBAgUk/bmXuWDBgnd97RvbYS5evKjDhw/r999/1/Hjx/XDDz9IklJTU2/7nK1atdKECRO0Zs0ade/eXZK0Zs0aSbJvFUlISNDx48dVqlQpvffeexnOcenSJUnSTz/9lKHk/t19990nFxeXdGM39idv2LBBmzZtSvfYuXPn7OeWpI4dO2rFihWaPn26li5dKn9/f/n7++vRRx+1vyD4q7p168rVNf0fXbVq1ZIk+/7pG//70EMPZTi+atWqKlq0aIa91gUKFND999+fbqxIkSKS/vz/W/pzD3rdunW1Z88ePfroo/L19ZW/v7+aNWuWrswfOnRIlmUpOjpac+fOzZAhf/78Onv2rM6fP5/hTb0Acg9KNoBsp0KFCrp48aJOnDjxjyU7Li5OiYmJKl269B1f668rrX+VP3/+Oz6no86cOaPXX39dX3/9tSzLUr58+VS5cmXVr19fhw4duqNzFi5cWC1atNCXX35pL3Fr1qxRyZIl9cgjj0iSfRX24sWLeuedd255rpiYmH+93s1ebMTFxUmS5s+f/6/nrlatmlauXKnQ0FBt3rxZK1eu1MqVK1WoUCH17NlTwcHB6VaXb1ZKixQponvuucd+3Rvzc3d3v+m1S5curRMnTqQb+/sLLUn261r/v3/bZrNpwYIFev/99/X5558rKipKUVFRev311/XII49o0qRJKl++vP1vYvbu3au9e/fe8nsQHR1NyQZyMUo2gGyncePG2r17t7Zu3aq6deve8nkRERGaNm2aBg4cmK6MWX97U5ukdHcFMeVurmdZlvr376+jR4+qf//+atmypapWraqCBQvq0qVL+uijj+44V4cOHfTFF19o3bp18vf3108//aTAwED7CvCNFeIGDRpo2bJld3ydWylUqJBcXFy0b98+h16sVKtWTbNnz1ZSUpL27NmjqKgorVq1SqGhoSpTpky67TzXr1/PcHxSUpL++OMP+zafG9uMzp8/f9MXaTExMSpevPgdza1w4cIaMmSIhgwZouPHj2vr1q36/PPPtW3bNg0dOlQfffSR/fv7/PPPa8iQIXd0HQA5H3uyAWQ77du3V/78+bV06VL76uTfJSYm2ovoo48+Kul/q883u3ODo7elux23up5lWf96vSNHjujnn39Wq1atNHToUNWqVcu+Knzjvt9/Le9/Xc39N48++qhKliypr7/+WuvWrZP05/f0Bnd3d5UtW1ZHjx696f7yzz77THPnztWpU6ccvuZf+fj4KDU1Nd3tEm/Yu3evpk+fru+//95+rUmTJsmyLLm5ucnPz08jRoywb7O4sXXmhr/v3Zb+vEOMZVn2O5tUq1btpsdK0okTJ3Tx4sV/3QZzM4cPH9bUqVPtq9NVqlRRjx49tHz5clWuXFn79+9XUlKSfHx8JEk//vjjTc/z9ttva/78+fZtKAByJ0o2gGynQoUK6t27t65evap+/frpwoUL6R6Pi4vT8OHD9dtvv6lZs2b2vbeVKlWSi4uLduzYkW4ledOmTTe9j/Hd8vT0lPTnbeX+un96+fLlio6O/sdjb2xP+Ovt4aQ/txC89dZbkqSUlBT7+I1V6Jt96uPfubq6qm3btvrhhx/0xRdfqFKlSvYCekPHjh0VHR2t6dOnp7tv9NGjRzVx4kR98MEHd7zae+N2g5MnT073BsH4+HhNmDBBYWFh9u/X3r17tXTp0gy3HbxR8MuWLZtufN++ffY95jfOOWPGDOXLl89+3SeeeEKurq4KDQ1N92Ln2rVrmjhxov05tyspKUkLFy5USEhIuhdA8fHxiomJUalSpeTm5qYKFSrooYceUlRUlP1Fzg2fffaZ3n33XW3ZsuWmW1QA5B5sFwGQLQ0dOlSXL1/WqlWr1KJFCzVt2lQVK1bU+fPntXXrVl25ckX16tWzF1JJKlGihFq2bKn169erc+fOatKkiU6ePKmvv/5a9evXv+nK5t2oUaOGHnjgAe3Zs0fdunXTQw89pCNHjmjHjh2qU6eO9u3bd8tjK1eurNq1a2vXrl3q1q2b6tWrp6tXryoyMlJJSUm65557dPXqVfvzb+zdXbt2rQoVKqSOHTv+42pshw4dFB4erqNHj2rw4MEZHn/uuef07bffKjw8XD/88IN8fX0VGxurdevWKTExUdOnT7e/8e92PfzwwwoMDFR4eLjatWunJk2ayM3NTZGRkfb7Ud+4g0q/fv20du1aDR8+XOvWrVOlSpV0+vRpbdiwQaVKlVKPHj3Sndvd3V0vvfSS1q5dqzJlymjTpk06efKknn/+efsKdoUKFTRy5Ei98cYb6tixo1q2bKlChQopKipKJ0+eVLt27fTkk0/e9rxufPjN+vXr1bFjRz388MNKSUlRZGSkrl69mu5DkCZOnKju3btryJAh8vf3V9WqVXX8+HFt2rRJxYsX1/jx4+/oewsg56BkA8iWXFxcNGXKFLVr104ffvihDh8+rM2bN8vV1VU+Pj4aMmSIOnfunOHOFpMnT1bp0qW1bt06hYeHq2rVqnr77bf1+++/Gy/ZkjRv3jzNmDFD33zzjY4cOaKaNWtq8eLFWrt27T+W7Hz58ikkJEQzZ87U1q1bdfDgQd13333y9/fXwIEDNWPGDEVGRur3339XxYoVVa5cOfsHoSxbtkxeXl7/WLJr166typUr67fffku3VeSGggULasmSJXr//fe1Zs0aLV++XO7u7qpXr5769+8vX1/fu/q+jBkzRrVq1dKKFSu0evVqubi4qEqVKnrhhRfsK86SVL58ea1YsUIhISHavXu3vv76a3l4eKhDhw4aPHhwhjcG+vr6qkWLFpo/f76ioqLk5eWlt956K8PKdM+ePVW5cmUtWLBAGzZskGVZ8vLyUv/+/dWpU6c7ntdbb72lmjVr6vPPP1dERIRsNpseeOABjRs3Ts2bN7c/z9PTU6tWrVJISIg2b96s7du3q3Tp0nriiScy3FoQQO5ks272jh0AALKRU6dOqUWLFmrRooVCQkKcHQcA/hV7sgEAAADDKNkAAACAYZRsAAAAwDD2ZAMAAACGsZINAAAAGEbJBgAAAAyjZAMAAACGUbIBAAAAwyjZAAAAgGGUbAAAAMAwSjYAAABgGCUbAAAAMIySDQAAABhGyQYAAAAMo2QDAAAgy5w6dUrPPPOMw8+/ePGiJkyYkGF8+vTpWrVqlcFkZlGyAQAAkG2VKlXqpiU7u3N1dgAAAAA4ybYJ0vbXHHturSDpsfnpxzY8Jx0I+9/XDcdLj0xw6HSBgYGqVq2afvnlF8XHx2vOnDkqV66cQkJCFBkZqdTUVHXt2lWNGjXSSy+9pJUrV2r9+vV67733VKJECSUnJ8vT01OSNGPGDH3//fdKS0tT79699fjjjzt8/i5duig8PFxffPGFbDab2rZtq549ezr2PfkHrGQDAADAKWrXrq1Fixbp0Ucf1ZdffqlDhw4pKipKH330kT766CP99ttvsixLkpScnKw333xTH3zwgRYsWKCCBQtKkjZv3qxTp05pxYoVWrJkiUJDQxUbG+vw+X/55RetWbNGy5cv17JlyxQZGalff/31rufGSjYAAACcokaNGpKk++67T5cuXdLx48dVu3Ztubi4yMXFRaNGjdKpU6ckSVeuXFGxYsXk4eEhSapbt64k6eeff9bBgwcVGBgoSUpJSdHp06cdPv+aNWt05swZ9e7dW5IUExOjEydO2FfJ7xQlGwAAIK96ZILD2ztu6rH5GbeQ3AVPT0+tWLFCaWlpSk1N1XPPPaexY8dKkkqWLKnY2FhduXJFJUqU0IEDB3TffffJ09NTfn5+mjRpktLS0hQSEqIKFSo4fP6RI0fqP//5j95//33ZbDYtWrRIPj4+dz0XSjYAAACyherVq6tx48bq2rWr0tLS1LVrV7m5uUmSXF1dNW7cOD377LMqVqyYXF3/rLHNmzfXd999p27duunatWtq2bKlihQp4vD5q1WrpoYNG6pr165KSkpS7dq1VaZMmbuei826sdEFAAAAgBG88REAAAAwLMtL9r59++wb00+cOKGuXbuqW7duGj9+vNLS0iRJ77zzjjp16qQuXbpo//79WR0RAAAAuCtZWrLDwsI0ZswYXb9+XZI0ZcoUBQcHa/ny5bIsSxs3btTBgwf13Xff6aOPPtLMmTP12msO3rsRAAAAyCay9I2PFStW1Ny5c/Xyyy9Lkg4ePChfX19Jkr+/v7Zu3aoqVaqoUaNGstlsKlu2rFJTU+3vIs3ugkKuODvCXQt7Pvt/nwEAALK7LC3ZrVu3tt/rUJIsy5LNZpMkFS5cWHFxcYqPj1fx4sXtz7kx/veSHRERoYiIiAzXCAgIUEBAQOZMAAAAAHCAU2/hly/f/3arJCQkqGjRoipSpIgSEhLSjbu7u2c4ljINAACA7MqpdxepUaOGdu7cKUmKiopSgwYNVK9ePX377bdKS0vTmTNnlJaWliO2igAAAAA3OHUle+TIkRo7dqxmzpwpT09PtW7dWi4uLmrQoIECAgKUlpamcePGOTMiAAAAcNv4MBqDeOMjAAAAJD6MBgAAADCOkg0AAAAYRskGAAAADKNkAwAAAIZRsgEAAADDKNkAAACAYZRsAAAAwDBKNgAAAGAYJRsAAAAwjJINAAAAGEbJBgAAAAyjZAMAAACGUbIBAAAAwyjZAAAAgGGUbAAAAMAwSjYAAABgGCUbAAAAMIySDQAAABhGyQYAAAAMo2QDAAAAhlGyAQAAAMMo2QAAAIBhlGwAAADAMEo2AAAAYBglGwAAADCMkg0AAAAYRskGAAAADKNkAwAAAIZRsgEAAADDKNkAAACAYZRsAAAAwDBKNgAAAGAYJRsAAAAwjJINAAAAGEbJBgAAAAyjZAMAAACGUbIBAAAAwyjZAAAAgGGUbAAAAMAwSjYAAABgGCUbAAAAMIySDQAAABhGyQYAAAAMo2QDAAAAhlGyAQAAAMMo2QAAAIBhlGwAAADAMEo2AAAAYBglGwAAADCMkg0AAAAYRskGAAAADKNkAwAAAIZRsgEAAADDKNkAAACAYZRsAAAAwDBKNgAAAGAYJRsAAAAwjJINAAAAGEbJBgAAAAyjZAMAAACGUbIBAAAAwyjZAAAAgGGUbAAAAMAwSjYAAABgGCUbAAAAMIySDQAAABhGyQYAAAAMo2QDAAAAhlGyAQAAAMMo2QAAAIBhlGwAAADAMEo2AAAAYBglGwAAADCMkg0AAAAYRskGAAAADHN1doDk5GSNGjVKp0+fVr58+TRp0iS5urpq1KhRstlsqlq1qsaPH698+Xg9AAAAgJzB6SV78+bNSklJ0YcffqitW7dq9uzZSk5OVnBwsPz8/DRu3Dht3LhRrVq1cnZUAAAAwCFOL9lVqlRRamqq0tLSFB8fL1dXV+3du1e+vr6SJH9/f23dujVDyY6IiFBERESG8wUEBCggICBLsgMAAAA34/SSXahQIZ0+fVqPP/64rl69qtDQUO3atUs2m02SVLhwYcXFxWU4jjINAACA7MrpJXvRokVq1KiRhg0bprNnz6pXr15KTk62P56QkKCiRYs6MSEAAABwe5z+bsKiRYvK3d1dklSsWDGlpKSoRo0a2rlzpyQpKipKDRo0cGZEAAAA4LbYLMuynBkgISFBo0eP1sWLF5WcnKyePXuqZs2aGjt2rJKTk+Xp6anXX39dLi4uzozpkKCQK86OcNfCni/h7AgAAAA5ntNLdm5CyQYAAICUDbaLAAAAALkNJRsAAAAwjJINAAAAGEbJBgAAAAyjZAMAAACGUbIBAAAAwyjZAAAAgGGUbAAAAMAwSjYAAABgGCUbAAAAMIySDQAAABhGyQYAAAAMo2QDAAAAhlGyAQAAAMMo2QAAAIBhlGwAAADAMEo2AAAAYBglGwAAADCMkg0AAAAYRskGAAAADKNkAwAAAIZRsgEAAADDKNkAAACAYZRsAAAAwDBKNgAAAGAYJRsAAAAwjJINAAAAGEbJBgAAAAyjZAMAAACGUbIBAAAAwyjZAAAAgGGUbAAAAMAwSjYAAABgGCUbAAAAMIySDQAAABhGyQYAAAAMo2QDAAAAhlGyAQAAAMMo2QAAAIBhlGwAAADAMEo2AAAAYBglGwAAADCMkg0AAAAYRskGAAAADKNkAwAAAIZRsgEAAADDKNkAAACAYZRsAAAAwDBKNgAAAGAYJRsAAAAwzNXZAYCcKijkirMjGBH2fAlnRwAAINdhJRsAAAAwjJINAAAAGEbJBgAAAAyjZAMAAACG8cZH3DXeAAgAAJAeK9kAAACAYZRsAAAAwDBKNgAAAGAYJRsAAAAwjJINAAAAGEbJBgAAAAxz+BZ+58+f144dO3T69GnFxcXJw8ND999/vx555BGVLFkyMzMCAAAAOcq/luzIyEgtXLhQe/bskWVZKlasmAoWLKjY2FglJiYqX758evDBB9WvXz81b948KzIDAAAA2dotS/aJEyc0evRonTx5Uq1bt9bQoUNVo0YNFS5c2P6cuLg47d69W9u2bdOrr76qihUr6s0331SVKlWyJDwAAACQHd2yZD/33HMaOHCg2rdvLxcXl5s+x93dXU2aNFGTJk00fPhwffbZZ+rfv782bNiQaYEBAACA7O6WJXv16tUqUKCAwyfKnz+/OnfurA4dOhgJBgAAAORUt7y7yO0UbBPHAQAAALmFw3cXkSTLsrR8+XJt2LBBly5dUokSJdSyZUt1795drq63dSoAAAAg17qtZjx79mxt3LhRTz75pIoVK6YLFy5o8eLFOnbsmCZOnJhZGQEAAIAc5ZYl+9SpUypfvny6sQ0bNuidd96Rl5eXfaxmzZoaMWIEJRsAAAD4f7fck/30009r0qRJunTpkn3My8tLYWFh+vHHH3Xy5Ent3r1b4eHhqlq1apaEBQAAAHKCW5bsNWvWyGazqV27dpo5c6ZiY2M1ceJExcfHKyAgQK1atVKPHj2UL18+TZs2LSszAwAAANnaLbeLlCxZUmPGjFHfvn317rvvqnXr1urVq5emTZum/PnzKzo6Wh4eHre8hzYAAACQV91yJfuGsmXL6o033tDy5ct15MgRtWrVSitWrFCxYsWMFex58+YpICBATz31lD766COdOHFCXbt2Vbdu3TR+/HilpaUZuQ4AAACQFf6xZP/2229av369Dh48qCpVqmjWrFkKCwvTt99+q9atW2vVqlWyLOuuAuzcuVN79uzRihUrFB4ernPnzmnKlCkKDg7W8uXLZVmWNm7ceFfXAAAAALLSLbeLfPTRR5owYYI8PDwUHR2tLl26aMyYMapevbrmzZunH374QbNnz1ZYWJiGDBmiNm3a3FGAb7/9Vt7e3ho0aJDi4+P18ssva+XKlfL19ZUk+fv7a+vWrWrVqtWdzRCAUUEhV5wdwYiw50s4OwIAIBe7Zcl+9913NWbMGHXt2lX79+9XQECABg4cqJIlS0qS6tevr/DwcG3ZskVz5sy545J99epVnTlzRqGhoTp16pQGDhwoy7Jks9kkSYULF1ZcXFyG4yIiIhQREZFhPCAgQAEBAXeUBQAAADDhliU7MTFRHh4ekiQPDw9ZlqU//vgjw/MaN26sxo0b33GA4sWLy9PTU25ubvL09FSBAgV07tw5++MJCQkqWrRohuMo0wAAAMiubrkn+5lnntHIkSPVpUsXde7cWY0aNVK5cuWMB6hfv762bNkiy7J0/vx5JSYmqmHDhtq5c6ckKSoqSg0aNDB+XQAAACCz3HIle9iwYfLz89Phw4dVrlw5PfbYY5kSoFmzZtq1a5c6deoky7I0btw4lS9fXmPHjtXMmTPl6emp1q1bZ8q1AQAAgMxwy5ItSY0aNVKjRo0yPcTLL7+cYWzp0qWZfl0AAAAgM9xyu0ivXr106NCh2zrZ/v37FRgYeNehAAAAgJzslivZffr00aBBg+Tp6al27dqpZcuWN30D4oULF/Ttt9/qk08+0YkTJ/Taa69lamAAAAAgu7tlyW7atKkaNGigRYsWacaMGRozZozKli2r+++/XwULFlRcXJzOnz+vc+fOqWjRogoMDFRoaKjc3d2zMj8AAACQ7fzjnuwiRYpo8ODBeu6557R9+3bt3LlTp0+fVnx8vMqVK6f69eurYcOG8vX1lZubW1ZlBgAAALK1fyzZN7i5ualJkyZq0qRJZucBAAAAcrxbvvERAAAAwJ2hZAMAAACGUbIBAAAAwyjZAAAAgGG3XbJTUlJ08eJFpaSkZEYeAAAAIMdzuGTv3btXvXv3Vt26ddWkSRMdOXJEw4cP16xZszIzHwAAAJDjOHQLv+3btysoKEgNGjTQ0KFDNW3aNEmSt7e3Zs+ereLFi6tPnz6ZGhQAnCko5IqzIxgR9nwJZ0cAgDzBoZXs6dOnq23btlq0aJF69uwpy7IkSc8995wGDBigiIiITA0JAAAA5CQOlexffvlFHTp0kCTZbLZ0j/n5+enMmTPmkwEAAAA5lEMlu2TJkjp69OhNHzt27JhKlixpNBQAAACQkzm0J/vJJ5/UnDlz5O7uLn9/f0lSamqqtm3bpnfeeUdPP/10poYEAAAAchKHSvbgwYN17tw5vfrqq/btIl26dJFlWWrVqpVefPHFTA0JAAAA5CQOlWwXFxdNmTJF/fr1065duxQdHS13d3fVr19f1apVy+yMAAAAQI7iUMm+wcvLS15eXpKkCxcu6MKFC0pNTZWLi0umhAMAAAByIofe+BgTE6Nhw4ZpyZIlkqTPPvtMzZs3V+fOnfX444/r5MmTmRoSAAAAyEkcKtlTp07Vtm3bVLZsWaWlpWn69Ol68MEHtWTJEnl4eGjq1KmZnRMAAADIMRwq2Zs2bdIrr7yili1b6vvvv9elS5fUr18/PfTQQxowYIB27NiR2TkBAACAHMOhkn3t2jXdf//9kv4s3AUKFFDDhg0lSW5ubpmXDgAAAMiBHCrZXl5eioyM1KVLl7RmzRo1bNhQBQoUUGpqqpYvX66qVatmdk4AAAAgx3Do7iIvvviiXnjhBS1ZskT58+dX//79JUmPPfaYLl++rPfeey9TQwIAAAA5iUMlu0mTJvriiy/0448/qlatWqpQoYIkacCAAXrooYdUuXLlzMwIAAAA5CgO3ye7YsWKqlixYrqxzp07Gw8EAAAA5HQOley0tDStXLlSmzdvVmJiotLS0tI9brPZtHjx4kwJCAAAAOQ0DpXsN998U0uWLFGNGjVUpkwZ5cvn0PslAQAAgDzJoZK9evVqDR48WIMHD87sPAAAAECO59CSdFJSkho0aJDZWQAAAIBcwaGS3bRpU0VGRmZ2FgAAACBXcGi7SOPGjTVlyhSdOnVKtWvX1j333JPucZvNpt69e2dGPgAAACDHcahkv/LKK5L+/Ej1TZs2ZXickg0AAAD8j0Ml+/Dhw5mdAwAAAMg1HP4wGkmKjo7Wvn37FB8fLw8PD9WuXVtFihTJrGwAAABAjuRwyZ4zZ44WLFigpKSk/x3s6qo+ffpo2LBhmRIOAAAAyIkcKtmLFy/WvHnz1K9fP7Vt21b33nuvLl26pC+//FILFy5UmTJl1KNHj8zOCgAAAOQIDpXs5cuXKygoSEOHDrWP3XvvvapWrZpcXFy0bNkySjYAAADw/xwq2efOnZOfn99NH/P19dXChQuNhgIAZA9BIVecHcGIsOdLODsCgDzGoQ+jqVixor7//vubPrZr1y6VKVPGaCgAAAAgJ3NoJTswMFCvvfaaUlNT1aZNG5UsWVKXL1/WunXrtGDBAgUHB2dyTAAAACDncKhkP/PMMzp58qQWLlyo+fPnS5Isy5Krq6sCAwPVr1+/TA0JAAAA5CQO38Jv2LBhevbZZ7Vv3z7FxMSoWLFiql27tjw8PDIzHwAAAJDj3NaH0Vy7dk2xsbGKjY2Vq6urUlJSMisXAAAAkGM5VLKTkpL06quv6osvvpBlWfZxFxcXdevWTaNHj5bNZsu0kAAAAEBO4lDJnjp1qiIjIzVmzBi1bNlSHh4eunLlir766ivNnDlTHh4eev755zM7KwAAAJAjOFSy16xZo+HDh6t79+72sfvuu0+BgYGyLEsLFiygZAMAAAD/z6H7ZKekpKhs2bI3faxSpUqKi4szGgoAAADIyRwq2c8884zeffddxcTEpBu/fv26Fi1apM6dO2dKOAAAACAncmi7yLVr13TixAk1a9ZMjzzyiEqVKqXo6Gjt3LlT0dHRyp8/vwYMGCBJstlseu+99zI1NAAAAJCdOVSyjx49qmrVqkmSYmJi7CvaXl5ekqTExMRMigcAAADkPA6V7PDw8MzOAQAAAOQaDn8YTWxsrBITE1WmTBklJSVpyZIlOnv2rFq1aqWHH344MzMCAAAAOYpDb3zctWuXmjZtqiVLlkiSxo4dqxkzZmjTpk3q27ev1qxZk6khAQAAgJzEoZI9e/Zs1a1bV3369FFMTIy+/PJL9e3bVxs3blSvXr00b968zM4JAAAA5BgOleyDBw+qX79+uvfee7V582alpqaqffv2kqRmzZrp+PHjmRoSAAAAyEkcKtkFCxZUUlKSJGnz5s0qVaqU/W4jZ8+eVbFixTIvIQAAAJDDOPTGRz8/P82ZM0dHjhzR+vXr7R+v/tVXX2n27Nlq1KhRpoYEAAAAchKHVrLHjh2rokWL6p133pGvr68GDRokSZo8ebIqVaqkESNGZGpIAAAAICdxaCX73nvv1aJFizKMr1q1Sh4eHqYzAQAAADmaw/fJlqTvv/9eO3bs0IULFzRgwAD98ssvql69ukqXLp1Z+QAAAIAcx6GS/ccffyg4OFibNm1SkSJFlJCQoICAAC1atEhHjhxReHi4/SPWAQAAgLzOoT3Z06dP1/79+7Vs2TLt2LFDlmVJkqZNm6YyZcpoxowZmRoSAAAAyEkcKtlffvmlhg8frvr168tms9nH7733Xj3//PP64YcfMi0gAAAAkNM4VLITExNVsmTJmz5WoEAB+z20AQAAADhYsuvUqaMlS5YoNTXVPnZjRfuTTz5RrVq1MicdAAAAkAM59MbHESNGKDAwUI8//rgeeeQR2Ww2LV++XL/++qt+/PFHLV68OLNzAgAAADmGQyvZNWvW1Mcff6yaNWsqMjJSLi4uioyMlIeHh1asWKG6detmdk4AAAAgx3BoJXvt2rXy8/PTzJkzMzsPAAAAkOM5VLJHjx6tqVOn6rHHHsvsPAAAOF1QyBVnRzAi7PkSzo4A5FkObRcpV66cYmJiMjsLAAAAkCs4tJLdvn17TZ48WZs3b1blypUz3M7PZrOpd+/emZEPAAAAyHEcKtmzZs2SJEVGRt70cUo2AAAA8D8OlezDhw9ndg4AAAAg13BoT3ZWuHz5spo0aaJjx47pxIkT6tq1q7p166bx48crLS3N2fEAAAAAh2WLkp2cnKxx48apYMGCkqQpU6YoODhYy5cvl2VZ2rhxo5MTAgAAAI7LFiV76tSp6tKli0qXLi1JOnjwoHx9fSVJ/v7+2rZtmzPjAQAAALfFoT3ZmWnVqlUqUaKEGjdurPnz50uSLMuSzWaTJBUuXFhxcXEZjouIiFBERESG8YCAAAUEBGRuaAAAAOAfOL1kf/LJJ7LZbNq+fbt++uknjRw5Uleu/O9DABISElS0aNEMx1GmAQAAkF05vWQvW7bM/u+BgYGaMGGCpk2bpp07d8rPz09RUVF6+OGHnZgQAAAAuD3ZYk/2340cOVJz585VQECAkpOT1bp1a2dHAgAAABzm9JXsvwoPD7f/+9KlS52YBAAAALhz2XIlGwAAAMjJKNkAAACAYZRsAAAAwDBKNgAAAGAYJRsAAAAwjJINAAAAGEbJBgAAAAzLVvfJBgAAzhUUcsXZEe5a2PMlnB0BYCUbAAAAMI2SDQAAABhGyQYAAAAMo2QDAAAAhlGyAQAAAMMo2QAAAIBhlGwAAADAMEo2AAAAYBglGwAAADCMkg0AAAAYxseqAwCAPI+Pk4dprGQDAAAAhlGyAQAAAMMo2QAAAIBhlGwAAADAMEo2AAAAYBglGwAAADCMkg0AAAAYRskGAAAADKNkAwAAAIZRsgEAAADDbJZlWc4OkVv89SNZ2ydPVYeUtxw6Lsqlp8LdZqUbC0waKv/UJQ4dv9r1ZX2ef2S6scHXu6lO2nqHjl+Sf6a2uPaS9JePZA2vL13Y7dDxc92Wab9Lm3Rj0xJrqLjOO3T8pAIb9Xu+B9ONhSWWdOhYSRpe8EfF2O63f13MOqvpf9R0+Pigey7/ec0bcz//g7S0gUPHRquMRtxzKN1Y7dR1eiGpu0PHn7DV0esFv0431jhlsXomv+TQ8fvytdY7BZanG7vdnz3/4MXpBzc8Jx0Ic+h4kz97N4z5o7kqWfscOv5uf/bU43upTP30YzNsjh0rcz97N1RM26ux11s4dOzd/uypdD0p8If0Y/vnS1/1d+hwEz97zvy9p1bzpNrPpR/LQ7/3NOxvf/Tnod97qhUkPTY//Ri/9xw7VpL6n5aKlP3f1/FnpHnlHD/+Ln72VPh+acAZx6/lZK7ODgAAAADnCAq5IsdeXvxp+OKrirEVtH9dzLqq6bd5vb+qmBajsQ4eG52QphF/O176yyJZNsN2EQAAAMAwtosY9PdXZznRnbwazA3zlm5/7sw7Z2PejmHeOVte/Z3OvB2XV+edFVjJBgAAAAyjZAMAAACGUbIBAAAAwyjZAAAAgGGUbAAAAMAwSjYAAABgGCUbAAAAMIySDQAAABhGyQYAAAAMo2QDAAAAhlGyAQAAAMMo2QAAAIBhlGwAAADAMEo2AAAAYBglGwAAADCMkg0AAAAYRskGAAAADKNkAwAAAIZRsgEAAADDKNkAAACAYZRsAAAAwDBKNgAAAGAYJRsAAAAwjJINAAAAGEbJBgAAAAyjZAMAAACGUbIBAAAAwyjZAAAAgGGUbAAAAMAwSjYAAABgGCUbAAAAMIySDQAAABhGyQYAAAAMo2QDAAAAhlGyAQAAAMMo2QAAAIBhlGwAAADAMEo2AAAAYBglGwAAADCMkg0AAAAYRskGAAAADKNkAwAAAIa5OjtAcnKyRo8erdOnTyspKUkDBw7Uf/7zH40aNUo2m01Vq1bV+PHjlS8frwcAAACQMzi9ZK9evVrFixfXtGnTFB0drSeffFLVqlVTcHCw/Pz8NG7cOG3cuFGtWrVydlQAAADAIU5fHm7Tpo2GDBkiSbIsSy4uLjp48KB8fX0lSf7+/tq2bZszIwIAAAC3xekr2YULF5YkxcfH68UXX1RwcLCmTp0qm81mfzwuLi7DcREREYqIiMgwHhAQoICAgMwNDQAAAPwDp5dsSTp79qwGDRqkbt26qX379po2bZr9sYSEBBUtWjTDMZRpAAAAZFdO3y5y6dIl9e3bVyNGjFCnTp0kSTVq1NDOnTslSVFRUWrQoIEzIwIAAAC3xeklOzQ0VLGxsQoJCVFgYKACAwMVHBysuXPnKiAgQMnJyWrdurWzYwIAAAAOc/p2kTFjxmjMmDEZxpcuXeqENAAAAMDdc/pKNgAAAJDbULIBAAAAwyjZAAAAgGGUbAAAAMAwSjYAAABgGCUbAAAAMIySDQAAABhGyQYAAAAMo2QDAAAAhlGyAQAAAMMo2QAAAIBhlGwAAADAMEo2AAAAYBglGwAAADCMkg0AAAAYRskGAAAADKNkAwAAAIZRsgEAAADDKNkAAACAYZRsAAAAwDBKNgAAAGAYJRsAAAAwjJINAAAAGEbJBgAAAAyjZAMAAACGUbIBAAAAwyjZAAAAgGGUbAAAAMAwSjYAAABgGCUbAAAAMIySDQAAABhGyQYAAAAMo2QDAAAAhlGyAQAAAMMo2QAAAIBhlGwAAADAMEo2AAAAYBglGwAAADCMkg0AAAAYRskGAAAADKNkAwAAAIZRsgEAAADDKNkAAACAYZRsAAAAwDBKNgAAAGAYJRsAAAAwjJINAAAAGEbJBgAAAAyjZAMAAACGUbIBAAAAwyjZAAAAgGGUbAAAAMAwSjYAAABgGCUbAAAAMIySDQAAABhGyQYAAAAMo2QDAAAAhlGyAQAAAMMo2QAAAIBhlGwAAADAMEo2AAAAYBglGwAAADCMkg0AAAAYRskGAAAADKNkAwAAAIZRsgEAAADDKNkAAACAYZRsAAAAwDBKNgAAAGAYJRsAAAAwjJINAAAAGEbJBgAAAAyjZAMAAACGUbIBAAAAwyjZAAAAgGGuzg5wK2lpaZowYYKOHDkiNzc3vf7666pUqZKzYwEAAAD/KtuW7MjISCUlJSkiIkJ79+7Vm2++qffee+8fj0lJSdG5c+eyKGFGf8TGOO3appw6de22j8kN85Zuf+7MO2dj3o5h3jlbXv2dzrwdl1fnbdJ9990nV9eMldpmWZblhDz/asqUKapdu7batWsnSWrcuLG2bNlifzwiIkIRERHpjklKStIvv/ySpTkBAACQd23cuFHly5fPMJ5tV7Lj4+NVpEgR+9cuLi5KSUmxv1IICAhQQEBAumOcvZKdFQYMGKDQ0FBnx8hyzDtvYd55C/POW/LqvKW8O/fcPu/77rvvpuPZtmQXKVJECQkJ9q/T0tJuuhT/V66urjd9JZGbuLm55fo53gzzzluYd97CvPOWvDpvKe/OPa/OO9veXaRevXqKioqSJO3du1fe3t5OTgQAAAA4JtuuZLdq1Upbt25Vly5dZFmWJk+e7OxIAAAAgEOybcnOly+fJk6c6OwYAAAAwG3LtttFcHN/f7NnXsG88xbmnbcw77wlr85byrtzz6vzzra38AMAAAByKlayAQAAAMMo2QAAAIBhlGwAAADAsGx7dxFktG/fPk2fPl3h4eHOjpIlkpOTNXr0aJ0+fVpJSUkaOHCgWrRo4exYmS41NVVjxozR8ePHZbPZ9Nprr+Wp+8RfvnxZTz31lBYuXCgvLy9nx8kyHTt2tH/Kbfny5TVlyhQnJ8oa8+bN09dff63k5GR17dpVnTt3dnakTLdq1Sp9+umnkqTr16/rp59+0tatW1W0aFEnJ8tcycnJGjVqlE6fPq18+fJp0qRJeeK/8aSkJL3yyis6efKkihQponHjxqly5crOjpWp/tpXTpw4oVGjRslms6lq1aoaP3688uXLG2u8lOwcIiwsTKtXr9Y999zj7ChZZvXq1SpevLimTZum6OhoPfnkk3miZH/zzTeSpA8//FA7d+7UrFmz9N577zk5VdZITk7WuHHjVLBgQWdHyVLXr1+XZVl55gX0DTt37tSePXu0YsUKJSYmauHChc6OlCWeeuopPfXUU5Kk1157TU8//XSuL9iStHnzZqWkpOjDDz/U1q1bNXv2bM2dO9fZsTLdypUrVahQIa1cuVK//vqrJk2apAULFjg7Vqb5e1+ZMmWKgoOD5efnp3Hjxmnjxo1q1aqVk1NmjbzxUiIXqFixYp74ZfRXbdq00ZAhQyRJlmXJxcXFyYmyRsuWLTVp0iRJ0pkzZ/LEH743TJ06VV26dFHp0qWdHSVLHT58WImJierbt6969uypvXv3OjtSlvj222/l7e2tQYMGacCAAWratKmzI2WpAwcO6OjRo3nm9mZVqlRRamqq0tLSFB8fL1fXvLHOd/ToUfn7+0uSPD09dezYMScnylx/7ysHDx6Ur6+vJMnf31/btm1zVrQslzd+wnOB1q1b69SpU86OkaUKFy4sSYqPj9eLL76o4OBg5wbKQq6urho5cqS++uorvf32286OkyVWrVqlEiVKqHHjxpo/f76z42SpggUL6tlnn1Xnzp3122+/KSgoSOvWrcv1JeTq1as6c+aMQkNDderUKQ0cOFDr1q2TzWZzdrQsMW/ePA0aNMjZMbJMoUKFdPr0aT3++OO6evWqQkNDnR0pS1SvXl3ffPONWrZsqX379un8+fNKTU3NtQtHf+8rlmXZ/5suXLiw4uLinBUty7GSjWzt7Nmz6tmzp5544gm1b9/e2XGy1NSpU7V+/XqNHTtW165dc3acTPfJJ59o27ZtCgwM1E8//aSRI0fq4sWLzo6VJapUqaIOHTrIZrOpSpUqKl68eJ6Ye/HixdWoUSO5ubnJ09NTBQoU0JUrV5wdK0vExsbq+PHjevjhh50dJcssWrRIjRo10vr16/Xf//5Xo0aN0vXr150dK9M9/fTTKlKkiLp166avvvpKDzzwQK4t2Dfz1/3XCQkJeepvZynZyLYuXbqkvn37asSIEerUqZOz42SZzz77TPPmzZMk3XPPPbLZbHniTSLLli3T0qVLFR4erurVq2vq1KkqVaqUs2NliY8//lhvvvmmJOn8+fOKj4/PE3OvX7++tmzZIsuydP78eSUmJqp48eLOjpUldu3apYYNGzo7RpYqWrSo3N3dJUnFihVTSkqKUlNTnZwq8x04cEANGzbUihUr1KZNG1WoUMHZkbJUjRo1tHPnTklSVFSUGjRo4OREWSd3/10kcrTQ0FDFxsYqJCREISEhkv58Q0Vuf1PcY489pldeeUXdu3dXSkqKRo8enevnnNd16tRJr7zyirp27SqbzabJkyfn+q0iktSsWTPt2rVLnTp1kmVZGjduXJ5Z4Tt+/LjKly/v7BhZqnfv3ho9erS6deum5ORkDR06VIUKFXJ2rExXqVIlzZkzR6GhoXJ3d9cbb7zh7EhZauTIkRo7dqxmzpwpT09PtW7d2tmRsgwfqw4AAAAYlvv/DhoAAADIYpRsAAAAwDBKNgAAAGAYJRsAAAAwjJINAAAAGEbJBoBcJDAwUP379zdyrp07d8rHx0cHDhwwfm4AyO0o2QCAm3rggQcUEREhLy8vZ0cBgBwn93/aAQDgjhQpUkQPPvigs2MAQI7ESjYA5FAJCQkaM2aM/Pz85Ofnp/nz56d7PCUlRXPmzFHTpk1Vq1YtPfXUU9q+fXu650RHR+vVV1/VI488onr16qlv3746cuSIpIzbRf7OkfMDQF5FyQaAHOqll17SV199pREjRuiNN97Ql19+qT179tgfHzt2rD744AP17NlT7777rjw9PRUUFKTdu3dL+rMk9+nTR5s3b9ZLL72kOXPm6I8//tCzzz6rmJiYf73+v50fAPIytosAQA50+PBhbdq0SbNmzVLbtm0lSbVr11aLFi0kSceOHdOqVav0+uuvq3PnzpIkf39/Xbx4UbNnz9aSJUu0adMmHTp0SMuWLVODBg0kSTVq1FDnzp31448/ytX11n9EOHJ+AMjLWMkGgBzoxmqxv7+/fax06dL2PdTfffed/fGUlBT7P02aNNHu3buVlJSkPXv2yN3d3V6wJalkyZL6+uuv9eijj/7j9R05PwDkZaxkA0AOFBsbq/z586tIkSLpxkuVKqWEhARFR0dLSl/C/+rq1auKiYlRyZIl7+j6jpy/TJkyd3RuAMgNKNkAkAMVL15cycnJio2NVdGiRe3j0dHRyp8/v9zd3WWz2fThhx/KxcUlw/EeHh5yd3fXlStXMjy2Y8cOlS9f/h+v78j5ASAvY7sIAORAvr6+kqQNGzbYx2JiYrR3715JUv369WVZluLj41WrVi37P9u3b9eiRYvk6uqqunXrKjY2Nt0bFWNiYhQUFKStW7f+4/UdOT8A5GX8FgSAHMjT01MdOnTQ5MmTdf36dZUtW1bz5s1TSkqKJKl69epq3bq1RowYocGDB8vLy0vfffed3nvvPfXr10/58uVTs2bNVKNGDQ0dOlRDhw6Vh4eHwsLCVLp0abVt21aHDh265fUdOT8A5GWUbADIod544w2VKFFCc+fOVXJysjp16qQyZcrojz/+kCRNnz5dc+bM0fz583X58mWVK1dOw4YN07PPPitJyp8/vxYsWKC33npLkydPVlpamho0aKBFixbJ3d39X6//b+cHgLzMZlmW5ewQAAAAQG7C3+cBAAAAhlGyAQAAAMMo2QAAAIBhlGwAAADAMEo2AAAAYBglGwAAADCMkg0AAAAYRskGAAAADPs/SS1WAwsStcoAAAAASUVORK5CYII=\n", "text/plain": [ "
" ]